Manthan Patel | Engineering | Best Researcher Award

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Mr. Manthan Patel | Engineering | Best Researcher Award

Masters at Amrita school of engineering, India

Manthan Patel is a cybersecurity professional with expertise in network security, cryptography, and cyber forensic tools. With experience at Cisco, Intel, ISRO, and Alembic Pharmacy, he has worked extensively on firewalls, VPNs, IDS/IPS, and penetration testing. He holds an M.Tech in Cyber Security (8.6 CGPA) and multiple certifications, including CCNP Security and CEH. His research includes an Active Dictionary Attack on WPA3-SAE and a binary decision tree-based firewall model, showcasing his technical acumen. While he has strong industry experience, his research output is limited, with only a few publications. To strengthen his candidacy for the Best Researcher Award, he should publish more peer-reviewed papers, secure patents, and contribute to open-source cybersecurity projects. His leadership in training and community engagement is commendable, but further global recognition is needed. With increased academic contributions, he could become a strong contender for prestigious research awards in cybersecurity.

Professional Profile 

Education🎓

Manthan Patel holds an M.Tech in Cyber Security from Amrita Vishwa Vidyapeetham University, where he graduated with an 8.6 CGPA in 2021. His postgraduate research focused on wireless security, network forensics, and firewall optimization, including projects like an Active Dictionary Attack on WPA3-SAE and a binary decision tree-based firewall model. Before that, he earned a B.E. in Electronics & Communication Engineering from SAL Institute of Technology, Gujarat Technological University, in 2017 with a 6.9 CGPA. His academic projects included a license-based vehicle ignition system using RFID technology, demonstrating his expertise in embedded systems and security. Additionally, he has attended multiple workshops on machine learning, MATLAB, and cybersecurity. Complementing his formal education, he holds industry-recognized certifications such as CCNP Security, CEH, and Fortinet NSE certifications, enhancing his expertise in network security, firewall operations, and cyber defense. His educational background forms a strong foundation for his cybersecurity career.

Professional Experience 📝

Manthan Patel has over five years of experience in network security and cybersecurity, working with leading organizations like Cisco, Intel, ISRO, and Alembic Pharmacy. Currently, he serves as a Security Technical Support Engineer at Cisco, where he specializes in firewall configuration, VPN troubleshooting, and security architecture design. Previously, as a Network Security Engineer at Intel, he played a key role in firewall infrastructure migration, proxy security setup, and VPN gateway configuration, ensuring robust security for enterprise networks. His experience also includes working as a Network Engineer at Microlink Solutions Pvt. Ltd., where he gained expertise in firewall, switch, and router configuration. He is proficient in forcepoint, Palo Alto, Fortinet, and Cisco firewalls, as well as cyber forensic tools like NMAP and Wireshark. With a strong background in troubleshooting, security policy management, and cyber defense, he has demonstrated expertise in securing enterprise IT environments against cyber threats.

Research Interest🔎

Manthan Patel’s research interests lie in the fields of network security, cloud security, cryptography, and wireless forensics. His work focuses on firewall optimization, intrusion detection, and VPN security, aiming to enhance enterprise cybersecurity frameworks. He has conducted research on Active Dictionary Attacks on WPA3-SAE, proposing a model to bypass WPA3 security using MAC address spoofing and parallel virtual machines. Additionally, he developed a binary decision tree-based packet queuing schema for next-generation firewalls, optimizing network performance by prioritizing UDP traffic in VoIP services. His expertise extends to cyber forensic tools, malware analysis, and secure network architecture design, with a keen interest in mitigating cyber threats through AI-driven security solutions. He is also passionate about cloud security protocols, VPN encryption techniques, and intrusion prevention systems (IPS/IDS). His research contributions aim to advance cybersecurity defense mechanisms by integrating machine learning and automation in network security frameworks.

Award and Honor🏆

Manthan Patel has received several awards and honors for his contributions to network security and cybersecurity research. He secured first prize in the PROJECT EXPO at SAL Campus, showcasing his innovative work in electronics and communication engineering. His expertise in Cisco Routing and Switching (CCNA) led him to serve as a tutor at Prakshal IT Academy, where he trained aspiring networking professionals. He has also been an active volunteer in the RED ROSE blood donation camp for the past three years, demonstrating his commitment to social service. His research on Active Dictionary Attacks on WPA3-SAE and next-generation firewall optimization has been recognized in academic circles. Additionally, he has attended prestigious cybersecurity workshops such as the DMML workshop at Amrita University and a MATLAB competition at SAL Cultural Festival. His dedication to technical excellence and research innovation continues to earn him accolades in the cybersecurity domain.

Research Skill🔬

Manthan Patel possesses strong research skills in network security, cloud security, cryptography, and cyber forensics. His expertise includes firewall optimization, intrusion detection/prevention systems (IDS/IPS), VPN security, and secure network architecture design. He has hands-on experience with cyber forensic tools like Wireshark and NMAP, enabling him to analyze network vulnerabilities and mitigate security threats effectively. His research on Active Dictionary Attacks on WPA3-SAE demonstrates his ability to develop innovative security models, utilizing MAC address spoofing and parallel virtual machines for enhanced attack simulations. Additionally, his work on binary decision tree-based packet queuing for next-generation firewalls showcases his analytical thinking and problem-solving abilities in network traffic optimization. He is proficient in Python and C programming, further enhancing his capacity for developing security automation tools. His ability to design, implement, and troubleshoot cybersecurity frameworks makes him a valuable contributor to advancing security research and technological innovation.

Conclusion💡

  • Manthan Patel has a strong technical and research background in cybersecurity, but his research output and global recognition need improvement.

  • If he publishes more papers, secures patents, and actively contributes to cybersecurity research, he could become a strong contender for the Best Researcher Award in the future.

Publication Top Noted✍️

  • Title: DDoS Attack Detection Model using Machine Learning Algorithm in Next Generation Firewall

  • Authors:

    • M. Patel, Manthan

    • P.P. Amritha, P. P.

    • V.B. Sudheer, Vinay B.

    • M. Sethumadhavan, Madathil

  • Citations: 3

Genfeng Liu | Engineering | Best Researcher Award

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Dr. Genfeng Liu | Engineering | Best Researcher Award

Research Scholar at Henan University of Technology, China

Genfeng Liu is a highly qualified candidate for the Best Researcher Award, with a strong background in control science and engineering, specializing in data-driven control, adaptive control, and fault-tolerant systems. His research spans intelligent transportation, multiagent systems, and nonlinear systems, contributing to high-impact IEEE journals such as IEEE Transactions on Cybernetics (IF: 19.118) and IEEE Transactions on Neural Networks and Learning Systems (IF: 14.255). As a reviewer for leading journals, he holds strong academic credibility. His work on model-free adaptive control and cybersecurity applications demonstrates real-world relevance. To enhance his profile, he could expand international collaborations, increase industry applications, and lead large-scale research projects. While his contributions are highly significant, further engagement in technology transfer and interdisciplinary research would strengthen his impact. Overall, his extensive publication record and research influence make him a strong contender for the award, with potential for even greater contributions in the future.

Professional Profile

Education

Genfeng Liu received his Ph.D. in Control Science and Engineering from Beijing Jiaotong University, China, in 2021. His doctoral research focused on advanced control methodologies, including data-driven control, iterative learning control, and fault-tolerant control, which have significant applications in intelligent transportation and nonlinear systems. Throughout his academic journey, he developed expertise in adaptive control and multiagent systems, contributing to cutting-edge research in automation and cybernetics. His education provided a strong foundation in both theoretical and applied control engineering, enabling him to publish in prestigious IEEE journals. Additionally, his academic background equipped him with the analytical and problem-solving skills necessary to address complex challenges in system automation and intelligent control. His commitment to continuous learning and research excellence is evident in his contributions to high-impact scientific literature and his role as a reviewer for renowned international journals, solidifying his reputation as an expert in his field.

Professional Experience

Genfeng Liu is currently a Lecturer at the College of Electrical Engineering, Henan University of Technology, Zhengzhou, China. His professional experience revolves around advanced control engineering, with a focus on data-driven control, adaptive control, and fault-tolerant systems. As a researcher, he has made significant contributions to intelligent transportation systems, multiagent systems, and nonlinear control, publishing extensively in high-impact IEEE journals. Beyond his research, he actively participates in academic peer review for prestigious journals such as IEEE Transactions on Cybernetics and IEEE Transactions on Intelligent Vehicles, reinforcing his role as a respected scholar in the field. His expertise extends to supervising students and collaborating on interdisciplinary projects, bridging the gap between theoretical advancements and practical applications. His ongoing work in model-free adaptive control and cybersecurity-related control mechanisms further strengthens his impact in academia and industry, positioning him as a leader in modern control systems and intelligent automation research.

Research Interest

Genfeng Liu’s research interests lie in advanced control engineering, with a strong focus on data-driven control, adaptive control, and fault-tolerant control. His work explores iterative learning control and model-free adaptive control techniques, particularly in applications related to intelligent transportation systems, nonlinear systems, and multiagent systems. He is also interested in cybersecurity aspects of control systems, such as defense mechanisms against false data injection attacks. His research aims to enhance the efficiency, safety, and reliability of automation in modern transportation and industrial systems. By integrating artificial intelligence with control theory, he seeks to develop innovative solutions for complex, real-world engineering challenges. His studies have been published in top-tier journals, reflecting his commitment to advancing theoretical and applied knowledge in control science. Additionally, his expertise in intelligent transportation and system optimization continues to drive impactful contributions to the fields of automation, cybernetics, and industrial informatics.

Award and Honor

Genfeng Liu has received several accolades and recognition for his outstanding contributions to the field of control science and engineering. His research publications in prestigious IEEE journals, such as IEEE Transactions on Cybernetics and IEEE Transactions on Neural Networks and Learning Systems, have earned him significant recognition within the academic community. As an active reviewer for renowned international journals, he has been acknowledged for his critical evaluations and contributions to the peer-review process. His innovative work in data-driven control, adaptive control, and fault-tolerant systems has positioned him as a leading researcher in intelligent transportation and nonlinear systems. Additionally, his participation in high-profile conferences and collaborations with esteemed researchers further highlight his impact in the field. While his research achievements are commendable, pursuing national and international research grants and awards would further enhance his recognition and establish him as a distinguished leader in control engineering and automation.

Research Skill

Genfeng Liu possesses strong research skills in advanced control engineering, specializing in data-driven control, adaptive control, and fault-tolerant control. He is proficient in developing and implementing iterative learning control and model-free adaptive control strategies for complex nonlinear and multiagent systems. His expertise extends to intelligent transportation systems, where he applies innovative control techniques to enhance automation and safety. He is highly skilled in mathematical modeling, algorithm development, and system optimization, enabling him to solve real-world engineering challenges effectively. His ability to conduct in-depth theoretical analysis and translate findings into practical applications is evident in his numerous high-impact publications in top-tier IEEE journals. Additionally, his experience as a reviewer for prestigious academic journals demonstrates his critical thinking and analytical skills. His research capabilities, combined with his ability to collaborate on interdisciplinary projects, make him a valuable contributor to the fields of cybernetics, automation, and industrial informatics.

Conclusion

Genfeng Liu is a highly suitable candidate for the Best Researcher Award due to his exceptional research output, high-impact publications, and contributions to control engineering and intelligent transportation systems. To further strengthen his candidacy, increasing international collaborations, practical industry applications, and leadership roles in large-scale projects would make his research even more impactful.

Publications Top Noted

  • Title: Improved Model-Free Adaptive Predictive Control for Nonlinear Systems with Quantization Under Denial of Service Attacks
    Authors: Genfeng Liu, Jinbao Zhu, Yule Wang, Yangyang Wang
    Year: 2025
    Citation: DOI: 10.3390/sym17030471

  • Title: Adaptive Iterative Learning Fault-Tolerant Control for State Constrained Nonlinear Systems With Randomly Varying Iteration Lengths
    Authors: Genfeng Liu, Zhongsheng Hou
    Year: 2024
    Citation: DOI: 10.1109/TNNLS.2022.3185080

  • Title: Cooperative Adaptive Iterative Learning Fault-Tolerant Control Scheme for Multiple Subway Trains
    Authors: Genfeng Liu, Zhongsheng Hou
    Year: 2022
    Citation: DOI: 10.1109/TCYB.2020.2986006

  • Title: RBFNN-Based Adaptive Iterative Learning Fault-Tolerant Control for Subway Trains With Actuator Faults and Speed Constraint
    Authors: Genfeng Liu, Zhongsheng Hou
    Year: 2021
    Citation: DOI: 10.1109/TSMC.2019.2957299

  • Title: Adaptive Iterative Learning Control for Subway Trains Using Multiple-Point-Mass Dynamic Model Under Speed Constraint
    Authors: Genfeng Liu, Zhongsheng Hou
    Year: 2021
    Citation: DOI: 10.1109/TITS.2020.2970000

  • Title: A Model-Free Adaptive Scheme for Integrated Control of Civil Aircraft Trajectory and Attitude
    Authors: Gaoyang Jiang, Genfeng Liu, Hansong Yu
    Year: 2021
    Citation: DOI: 10.3390/sym13020347

  • Title: A Data-Driven Distributed Adaptive Control Approach for Nonlinear Multi-Agent Systems
    Authors: Xian Yu, Shangtai Jin, Genfeng Liu, Ting Lei, Ye Ren
    Year: 2020
    Citation: DOI: 10.1109/ACCESS.2020.3038629

  • Title: Model-Free Adaptive Direct Torque Control for the Speed Regulation of Asynchronous Motors
    Authors: Ziwei Zhang, Shangtai Jin, Genfeng Liu, Zhongsheng Hou, Jianmin Zheng
    Year: 2020
    Citation: DOI: 10.3390/pr8030333

Lubo Tang | Engineering | Best Researcher Award

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Dr. Lubo Tang | Engineering | Best Researcher Award

Dr. at Central South University, China

Dr. Lubo Tang is a distinguished researcher in geotechnical engineering, specializing in dynamic grouting, multiphase flow, and CFD-DEM simulations. Currently a Ph.D. candidate at Central South University, he has made significant contributions to geotechnical drilling and fluidic oscillator technologies. His research has resulted in multiple high-impact publications in top-tier journals, including an ESI Highly Cited Paper. He holds several patents on innovative engineering solutions and has led a funded project on fluidic oscillators. Recognized with prestigious awards such as the National Scholarship and Chenguoda Scholarship, he has demonstrated academic excellence and leadership in research. His work has strong industrial relevance, particularly in cement slurry penetration and oscillatory grouting technology. To further his impact, international collaborations and industry applications could enhance global recognition. With a solid academic foundation, extensive research output, and innovative contributions, Dr. Tang stands out as a leading researcher in geotechnical engineering.

Professional Profile 

Education

Dr. Lubo Tang has a strong academic background in geotechnical and geological engineering. He is currently pursuing a Ph.D. in Geotechnical Engineering at Central South University, China, where he focuses on dynamic grouting, multiphase flow, and geotechnical drilling. Prior to this, he earned a Master’s degree in Geological Engineering from the same university, where he deepened his expertise in fluid dynamics and soil mechanics. His academic journey began at the University of Jinan, where he obtained a Bachelor’s degree in Geotechnical Engineering, laying a solid foundation in civil engineering principles. Throughout his education, Dr. Tang has actively engaged in cutting-edge research, contributing to high-impact publications and innovative engineering solutions. His academic progression reflects his commitment to advancing geotechnical engineering through rigorous study and research. His education, combined with hands-on experience in research projects and industry-relevant applications, has equipped him with the skills to make significant contributions to his field.

Professional Experience

Dr. Lubo Tang has extensive professional experience in geotechnical engineering, focusing on dynamic grouting, multiphase flow, and geotechnical drilling. As a Ph.D. candidate at Central South University, he has been actively involved in high-impact research, publishing extensively in top-tier journals and contributing to advancements in oscillatory grouting technology. He has led and participated in multiple research projects, including a university-funded study on fluidic oscillators and nationally funded projects on hydraulic propulsion systems and rock drilling mechanisms. His expertise extends to developing novel engineering solutions, holding patents for innovative fluidic oscillator devices and self-healing metro engineering technologies. Recognized for his academic excellence and leadership, he has received prestigious scholarships and awards. His work bridges the gap between theoretical research and practical applications, making significant contributions to geotechnical engineering. With a strong research foundation and industrially relevant innovations, Dr. Tang continues to advance the field through cutting-edge studies and engineering applications.

Research Interest

Dr. Lubo Tang’s research interests lie in geotechnical engineering, with a strong focus on dynamic grouting, multiphase flow, and computational fluid dynamics (CFD-DEM). His work explores the mechanics of cement slurry penetration, oscillatory grouting technology, and friction-reduction tools for geotechnical drilling. He is particularly interested in developing innovative fluidic oscillator devices and optimizing grouting techniques to enhance the efficiency of underground construction and drilling operations. His research also extends to environmental geotechnology, including air sparging remediation and wastewater treatment systems. By combining numerical simulations with experimental studies, Dr. Tang aims to improve engineering solutions for soil stabilization, tunneling, and deep foundation construction. His contributions have significant industrial applications in geotechnical infrastructure and petroleum engineering. With a strong interdisciplinary approach, he continues to push the boundaries of geotechnical research, aiming to develop more efficient and sustainable engineering solutions for complex underground environments.

Award and Honor

Dr. Lubo Tang has received numerous prestigious awards and honors in recognition of his outstanding academic achievements and contributions to geotechnical engineering. He was awarded the highly competitive National Scholarship, reflecting his excellence in research and academic performance. He also received the Chenguoda Scholarship and the First-Class Academic Scholarship at Central South University, highlighting his dedication to scholarly excellence. His academic distinction was further recognized when he was named an Outstanding Graduate and Outstanding Student at Central South University. During his undergraduate years at the University of Jinan, he secured the First-Class Academic Scholarship and was honored as an Excellent Cadre. Additionally, his research innovations earned him the First Prize in the Patent Product Competition, emphasizing his ability to translate theoretical knowledge into practical applications. His contributions to scientific research were also acknowledged through team-based honors, such as the Excellent Scientific Research Team Award. These accolades underscore his dedication to advancing geotechnical engineering.

Research Skill

Dr. Lubo Tang possesses a diverse set of research skills in geotechnical engineering, particularly in dynamic grouting, multiphase flow analysis, and computational fluid dynamics (CFD-DEM). His expertise includes numerical modeling and simulation, allowing him to analyze complex fluid-soil interactions and optimize grouting techniques for underground construction. He is proficient in experimental research, having conducted studies on slurry diffusion, cement penetration, and oscillatory grouting technology. Additionally, his strong analytical skills enable him to evaluate rheological properties of cement slurries and develop innovative fluidic oscillator devices for friction reduction in drilling operations. Dr. Tang is also skilled in designing and executing large-scale research projects, securing funding, and collaborating with interdisciplinary teams. His ability to translate theoretical research into practical engineering applications is evident in his patented innovations. With a deep understanding of geotechnical processes, advanced computational methods, and hands-on laboratory experimentation, he continues to make significant contributions to the field.

Conclusion

Lubo Tang is a highly competitive candidate for the Best Researcher Award. His strong academic background, impactful publications, patents, and funded projects demonstrate excellence in research. To further strengthen his candidacy, increasing international collaborations, expanding industry applications, and diversifying research topics could enhance his global impact. Overall, he is a well-deserving nominee for the award.

Publications Top Noted

  • Characterization of air distribution during horizontal well air sparging with various sparging tube configurations
    Authors: Liang, B., Zhang, X., Wu, Z., Tang, L., Chen, X.
    Year: 2024
    Journal: Journal of Cleaner Production
    Citations: 1

  • Cement slurry penetration behavior of swirl grouting technology
    Authors: Liang, W., Chen, X., Tang, L., Zhang, J., Zhang, X., Lin, F., Cheng, J.
    Year: 2024
    Journal: Physics of Fluids

Chafaa Maatoug Hamrouni | Engineering | Excellence in Innovation

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Assoc. Prof. Dr. Chafaa Maatoug Hamrouni | Engineering | Excellence in Innovation

Associated Professor at Taif University – khurma University Collegue, Saudi Arabia

Dr. Chafaa Hamrouni, a researcher at Taif University, has made significant contributions to wireless communications, satellite technology, and fuzzy logic-based systems. His work spans various domains, including coded cooperative communication, antenna network optimization, and smart mobility management using fuzzy controllers. He has published extensively in reputed journals on topics such as MIMO antennas, metamaterials for high-isolation satellite communication, and energy recovery systems for small satellites. His expertise in congestion management, cryptographic security in cloud computing, and nanosatellite-based environmental monitoring showcases his interdisciplinary approach. His research on femto and pico satellites, including ERPSat-1, highlights innovations in intelligent power systems and antenna networks. While his work is highly innovative, expanding on real-world applications and industry collaborations could enhance its impact. Overall, his extensive research and technological advancements make him a strong candidate for the Excellence in Innovation Award, recognizing his pioneering efforts in wireless communication and space technologies.

Professional Profile 

Education

Dr. Chafaa Hamrouni has a strong academic background in engineering and telecommunications, specializing in wireless communication, antenna design, and satellite technology. He has pursued advanced studies in electrical and electronic engineering, focusing on innovative solutions for communication systems, including fuzzy logic-controlled networks and intelligent power management for small satellites. His expertise extends to areas such as signal processing, optimization techniques, and cryptographic security in cloud computing. Throughout his academic journey, Dr. Hamrouni has actively engaged in research that bridges theoretical advancements with practical applications, contributing to the development of next-generation communication and satellite technologies. His education has provided him with a solid foundation in electromagnetics, artificial intelligence applications, and network optimization, enabling him to lead cutting-edge research in these fields. His continuous pursuit of knowledge and interdisciplinary approach highlight his dedication to advancing technological frontiers, making him a prominent figure in academia and research.

Professional Experience

Dr. Chafaa Hamrouni has an extensive professional background in wireless communications, satellite technology, and intelligent systems. As a researcher at Taif University, he has contributed significantly to fields such as MIMO antennas, coded cooperative communication, and fuzzy logic-based mobility management. His work spans innovative solutions for congestion control, cryptographic security, and nanosatellite-based environmental monitoring. Dr. Hamrouni has been actively involved in the development of small satellite communication subsystems, including ERPSat-1, where he played a key role in designing intelligent power systems and antenna networks. He has collaborated with international researchers on optimization techniques for mobile networks, electromagnetic energy recovery, and high-isolation satellite antennas. His professional experience includes extensive publication in high-impact journals, conference presentations, and participation in advanced research projects. His expertise in integrating artificial intelligence with telecommunications underscores his leadership in pioneering technological advancements, making him a valuable contributor to the field of innovation and research.

Research Interest

Dr. Chafaa Hamrouni’s research interests lie at the intersection of wireless communications, satellite technology, and artificial intelligence. He focuses on developing advanced MIMO antenna systems, coded cooperative communication, and energy-efficient wireless networks. His work includes optimizing mobile network performance through fuzzy logic-based controllers and enhancing security in cloud computing using cryptographic techniques. He is particularly interested in the design and implementation of intelligent power management systems for small satellites, such as ERPSat-1, and the integration of nanosatellite technology for environmental monitoring. His studies also extend to electromagnetic energy recovery, congestion management in 5G networks, and novel optimization techniques for signal processing. Through his research, Dr. Hamrouni aims to bridge theoretical advancements with practical applications in telecommunications, aerospace, and intelligent systems. His interdisciplinary approach highlights his commitment to driving innovation in next-generation communication technologies, making significant contributions to both academic research and real-world technological advancements.

Award and Honor

Dr. Chafaa Hamrouni has been recognized for his outstanding contributions to wireless communications, satellite technology, and intelligent systems. His research excellence has earned him numerous accolades from international conferences and academic institutions. He has received recognition for his pioneering work in MIMO antenna design, cooperative communication, and fuzzy logic-based mobility management. His contributions to nanosatellite technology, particularly in the development of ERPSat-1 and intelligent power systems for small satellites, have been acknowledged by leading aerospace and telecommunications organizations. Dr. Hamrouni has been invited as a keynote speaker at prestigious conferences and has served as a reviewer for high-impact journals. His expertise in integrating artificial intelligence with telecommunications has positioned him as a leader in the field, earning him research grants and collaborations with top institutions. His achievements underscore his dedication to advancing innovation, making a lasting impact on wireless communication, satellite engineering, and next-generation network technologies.

Research Skill

Dr. Chafaa Hamrouni possesses a diverse range of research skills that span wireless communications, satellite engineering, and artificial intelligence applications. His expertise includes designing and optimizing MIMO antenna systems, developing energy-efficient wireless networks, and implementing fuzzy logic-based control systems for smart mobility and network optimization. He has extensive experience in signal processing, cryptographic security for cloud computing, and electromagnetic energy recovery for small satellites. His strong analytical and problem-solving skills enable him to conduct in-depth theoretical research while also applying innovative solutions to real-world challenges. Dr. Hamrouni is proficient in simulation and modeling tools for antenna design, network performance analysis, and intelligent control systems. His interdisciplinary approach allows him to integrate AI-driven techniques into telecommunications and aerospace engineering. His ability to collaborate across disciplines, coupled with his strong publication record, demonstrates his commitment to advancing research in cutting-edge communication and satellite technologies.

Conclusion

Dr. Chafaa Hamrouni is a strong candidate for the Excellence in Innovation Award due to his groundbreaking research in telecommunications, satellite systems, and AI-driven network optimization. His multidisciplinary approach and pioneering work on nanosatellites and fuzzy logic controllers align well with innovation criteria. However, greater industry implementation, patent filings, and leadership in tech entrepreneurship could further enhance his candidacy.

Publications Top Noted

  • Multi-Agent Mapping and Tracking-Based Electrical Vehicles with Unknown Environment Exploration

    • Authors: C. Hamrouni, A. Alutaybi, G. Ouerfelli
    • Year: 2025

  • On the Performance of Coded Cooperative Communication with Multiple Energy-Harvesting Relays and Error-Prone Forwarding

    • Authors: S. Chaoui, O. Alruwaili, C. Hamrouni, A. Alutaybi, A. Masmoudi
    • Year: 2023
    • Citations: 2

  • Six Generation Load Cells Solution Based Congestion Management Control Purpose

    • Authors: C. Hamrouni, A. Alutaybi
    • Year: 2023

  • A New Fuzzy Controlled Antenna Network Proposal for Small Satellite Applications

    • Authors: C. Hamrouni
    • Year: 2022
    • Citations: 1

  • Various Antenna Structures Performance Analysis Based on Fuzzy Logic Functions

    • Authors: C. Hamrouni, A. Alutaybi, S. Chaoui
    • Year: 2022
    • Citations: 5

  • 5G Smart Mobility Management Based Fuzzy Logic Controller Unit

    • Authors: C. Hamrouni, S. Chaoui
    • Year: 2021
    • Citations: 2

  • New Trend Proposal in Optimization Techniques Application for Mobile Network, Analysis, and Signal Processing

    • Authors: C. Hamrouni
    • Year: 2020

  • UWB-MIMO Array Antennas with DGS Decoupling Structure

    • Authors: C. Abdelhamid, M. Daghari, C. Hamrouni, H. Sakli
    • Year: 2020
    • Citations: 1

  • Complex ESP Systems Proposal Based on Pump Syringe and Electronically Injector Modules for Medical Application

    • Authors: C. Hamrouni
    • Year: 2020
    • Citations: 1

  • A New UWB-MIMO Multi-Antennas with High Isolation for Satellite Communications

    • Authors: C. Abdelhamid, M. Daghari, H. Sakli, C. Hamrouni
    • Year: 2019
    • Citations: 13

  • High Isolation with Metamaterial Improvement in a Compact UWB MIMO Multi-Antennas

    • Authors: C. Abdelhamid, M. Daghari, H. Sakli, C. Hamrouni
    • Year: 2019
    • Citations: 9

  • A Joint Source Channel Decoding for Image Transmission

    • Authors: S. Chaoui, O. Ouda, C. Hamrouni
    • Year: 2019
    • Citations: 8

Balamurugan C.R | Engineering | Best Researcher Award

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Dr. Balamurugan C.R | Engineering | Best Researcher Award

Professor & Head/EEE at Er.Perumal Manimekalai College of Engineering, India

Dr. C.R. Balamurugan is a distinguished academician and researcher in the field of Electrical and Electronics Engineering, with extensive expertise in power electronics and industrial drives. With a strong academic background, he holds multiple degrees, including a Ph.D. in Power Electronics from Annamalai University, and an M.E. in Power Electronics and Industrial Drives from Sathyabama University. His career spans over two decades, during which he has held various teaching and administrative positions in reputed engineering institutions. Currently serving as a Professor and Head of EEE at Er.Perumal Manimekalai College of Engineering, Hosur, Dr. Balamurugan has contributed significantly to academia through research, mentorship, and curriculum development. His research interests lie in power electronics, renewable energy systems, and multilevel inverters. He has been recognized with numerous awards for his outstanding contributions to teaching and research. His ability to secure research funding and his active participation in AICTE IDEA LAB further highlight his dedication to advancing engineering education and technological innovation. With a strong commitment to knowledge dissemination, he continues to inspire students and researchers in the field of electrical and electronics engineering.

Professional Profile

Education

Dr. C.R. Balamurugan has a strong educational background in electrical and electronics engineering, with a specialization in power electronics. He earned his Ph.D. in Power Electronics from Annamalai University in 2015, demonstrating his expertise in the field. His M.E. in Power Electronics and Industrial Drives from Sathyabama University (2005) was completed with distinction, securing 80.04%. Prior to that, he completed his B.E. in Electrical and Electronics Engineering from Arunai Engineering College under Madras University in 2000, graduating with a first-class score of 68.2%. His foundational studies include a Diploma in Electrical and Electronics Engineering (DEEE) from Annai Velankanni Polytechnic, where he achieved an impressive 91.1% in 1997. Additionally, he holds an M.B.A. in Information Technology from Tamil Nadu Open University, obtained in 2009 with 65.2%. His diverse educational qualifications equip him with technical, managerial, and research skills essential for leadership roles in academia and industry.

Professional Experience

Dr. C.R. Balamurugan has an extensive career in academia, spanning over two decades. He is currently a Professor and Head of the EEE department at Er.Perumal Manimekalai College of Engineering, Hosur, a position he has held since November 2024. Previously, he served as a Professor and Head of the ECE department at the same institution from September 2023 to November 2024. His experience includes working as a Professor at Er.Perumal Manimekalai College of Engineering (2022–2023), and as a Professor and Head at Tagore Institute of Engineering and Technology, Salem (2022). He has also held teaching positions at Annamalaiyar Engineering College, Polur, and Karpagam College of Engineering, Coimbatore, where he served as a Professor and Head from 2018 to 2021. His early career includes roles as Assistant and Associate Professor at Arunai Engineering College (2005–2017) and Lecturer at Sri Jayaram Engineering College (2002–2003). His leadership in academic institutions highlights his expertise in teaching, research, and departmental management.

Research Interests

Dr. C.R. Balamurugan’s research primarily focuses on power electronics, with specific interests in multilevel inverters, renewable energy systems, and power electronics applications in industrial drives. His work in these areas has contributed significantly to improving efficiency and performance in electrical power systems. He is particularly interested in the development of advanced inverter topologies, motor control techniques, and energy-efficient power conversion technologies. His research also extends to AI-driven solutions for optimizing power electronics applications, grid integration of renewable energy sources, and fault diagnostics in electrical systems. Dr. Balamurugan actively collaborates with fellow researchers and industries to implement cutting-edge innovations in power electronics. His dedication to research has led to several funded projects, conference presentations, and journal publications in reputed platforms such as Scopus and Web of Science.

Research Skills

Dr. C.R. Balamurugan possesses a diverse set of research skills, enabling him to excel in both theoretical and experimental studies. His expertise includes power electronics circuit design, multilevel inverter development, and simulation using MATLAB/Simulink. He is proficient in hardware implementation of power converters, motor control systems, and renewable energy integration. Additionally, he has experience in AI-based optimization techniques for power electronics applications. His ability to conduct experimental validation and performance analysis of power electronic systems sets him apart as a researcher. He has also been successful in securing research grants and managing funded projects. His skills extend to technical writing, where he has authored numerous research papers published in indexed journals. Furthermore, he actively mentors students and research scholars, guiding them in advanced electrical engineering research and project development.

Awards and Honors

Dr. C.R. Balamurugan has received numerous awards in recognition of his excellence in teaching and research. Some of his notable achievements include the “Best Faculty Advisor Award” from the Institute of Engineers, India (2023), and the “Active Young Researcher Award” from Conference World (2018). He has secured multiple “Best Faculty Awards” from Arunai Engineering College for outstanding academic performance between 2006 and 2017. Additionally, he has received cash prizes for contributions to digital content development at Karpagam College of Engineering. His research excellence has been acknowledged with the “Best Paper Award” for his work on multilevel inverters. Furthermore, he has successfully secured research funding, including Rs. 10,94,118 from AICTE for the modernization of the Power Electronics lab (2020-2021) and Rs. 7,500 from the Tamil Nadu State Council for Science and Technology (2023-2024). His role as a faculty coordinator for AICTE IDEA LAB further demonstrates his leadership in academic and research activities.

Conclusion

Dr. C.R. Balamurugan’s illustrious career in academia and research stands as a testament to his expertise, dedication, and contributions to the field of electrical and electronics engineering. With over two decades of experience, he has played a crucial role in mentoring students, leading research initiatives, and managing academic departments. His extensive work in power electronics, particularly in multilevel inverters and renewable energy systems, has significantly advanced knowledge in the field. Recognized with multiple awards and research grants, he continues to push the boundaries of innovation in engineering education and research. As a Professor and Head of the EEE department, he remains committed to fostering a culture of excellence in teaching and research. His passion for technology and academic leadership ensures that he remains a driving force in the advancement of electrical and electronics engineering, shaping the next generation of engineers and researchers.

Publication Top Notes

  • “A Review on Modulation Strategies of Multilevel Inverter”

    • Authors: C.R. Balamurugan, S.P. Natarajan, R. Bensraj, B. Shanthi
    • Journal: Indonesian Journal of Electrical Engineering and Computer Science (IJEECS)
    • Year: 2016
    • Citations: 35

  • “Performance Evaluation of Multi Carrier Based PWM Techniques for Single Phase Five Level H-Bridge Type FCMLI”

    • Authors: E. Sambath, S.P. Natarajan, C.R. Balamurugan
    • Journal: IOSR Journal of Engineering
    • Year: 2012
    • Citations: 33

  • “Development of Raspberry Pi and IoT Based Monitoring and Controlling Devices for Agriculture”

    • Authors: C. Balamurugan, R. Satheesh
    • Journal: Journal of Social, Technological and Environmental Science
    • Year: 2017
    • Citations: 27

  • “Three Area Power System Load Frequency Control Using Fuzzy Logic Controller”

    • Author: C.R. Balamurugan
    • Journal: International Journal of Applied Power Engineering (IJAPE)
    • Year: 2018
    • Citations: 25

  • “Investigations on Three Phase Five Level Diode Clamped Multilevel Inverter”

    • Authors: C.R. Balamurugan, S.P. Natarajan, R. Bensraj
    • Journal: International Journal of Modern Engineering Research
    • Year: 2012
    • Citations: 24

  • “Comparative Analysis of Various Z-Source Based Five Level Cascaded H-Bridge Multilevel Inverter”

    • Authors: C.R. Balamurugan, K. Vijayalakshmi
    • Journal: Bulletin of Electrical Engineering and Informatics
    • Year: 2018
    • Citations: 16

  • “Automatic Railway Gate Control System Using 8051 Microcontroller”

    • Authors: C.R. Balamurugan, P. Vijayshankarganth, R. Alagarraja, V.E. Subramanian
    • Journal: International Journal of ChemTech Research
    • Year: 2018
    • Citations: 15

  • “A Review on Various Multilevel Inverter Topologies”

    • Authors: C.R. Balamurugan, S.P. Natarajan, M. Arumugam
    • Journal: Global Journal of Advanced Research
    • Year: 2015
    • Citations: 12

  • “Development of Fuzzy Logic Control for Paralleled Positive Output Elementary Luo Converters”

    • Authors: R. Kayalvizhi, S.P. Natarajan, S. Anbumalar
    • Conference: 1st IEEE Conference on Industrial Electronics and Applications
    • Year: 2006
    • Citations: 10

  • “A New Modified Hybrid H-Bridge Multilevel Inverter Using Less Number of Switches”

    • Authors: C.R. Balamurugan, S.P. Natarajan, V. Vidhya
    • Conference: International Conference on Computation of Power, Energy, Information and Communication
    • Year: 2013
    • Citations: 9

Reza SojoudiZadeh | Engineering | Best Researcher Award

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Assist. Prof. Dr. Reza SojoudiZadeh | Engineering | Best Researcher Award

Assistant Professor at Department of Civil Engineering, Mahabad Branch, Islamic Azad University, Mahabad, Iran

Dr. Reza Sojoudi Zadeh is an Associate Professor in the Department of Civil Engineering at Mahabad Branch, Islamic Azad University, Iran. His research focuses on structural optimization, seismic performance of buildings, and concrete technology. He has published extensively in high-impact journals, contributing to advancements in soft computing techniques, metaheuristic optimization, and earthquake-resistant structures. With a strong academic background, he teaches both undergraduate and graduate courses, specializing in finite element analysis, structural optimization, and reinforced concrete structures. His expertise bridges the gap between theoretical research and practical engineering applications, making significant contributions to civil engineering.

Professional Profile 

Education

Dr. Sojoudi Zadeh earned his Ph.D. in Civil Engineering (Structural Engineering) from Urmia University, Iran (2014-2018), where he focused on seismic performance-based life cycle cost optimization of steel moment frames using soft computing techniques. He completed his M.Sc. in Structural Engineering from Tabriz University (2000-2002), working on dynamic soil-structure interaction using SAP2000 software. His B.Sc. in Civil Engineering (1996-2000) from Tabriz University laid the foundation for his expertise in structural analysis and design.

Professional Experience

Dr. Sojoudi Zadeh is an Associate Professor at Islamic Azad University, Mahabad Branch, where he has been actively involved in research, teaching, and mentoring students. His academic career spans over two decades, during which he has taught undergraduate and postgraduate courses in statics, reinforced concrete design, structural optimization, and finite element analysis. He has authored numerous peer-reviewed research papers and collaborated on studies focusing on structural performance, seismic resilience, and advanced optimization algorithms. His contributions extend to engineering software applications and innovative design methodologies for sustainable and resilient structures.

Research Interest

Dr. Reza Sojoudi Zadeh is an Associate Professor in the Department of Civil Engineering at Mahabad Branch, Islamic Azad University, Iran. His research focuses on structural optimization, seismic performance of buildings, and concrete technology. He has published extensively in high-impact journals, contributing to advancements in soft computing techniques, metaheuristic optimization, and earthquake-resistant structures. With a strong academic background, he teaches both undergraduate and graduate courses, specializing in finite element analysis, structural optimization, and reinforced concrete structures. His expertise bridges the gap between theoretical research and practical engineering applications, making significant contributions to civil engineering.

Awards and Honors

Dr. Sojoudi Zadeh has received recognition for his research contributions in structural engineering and optimization methodologies. His published works in high-impact international journals have been widely cited, earning him academic distinction. Additionally, he has played a key role in supervising and mentoring research students, further solidifying his reputation as an expert in seismic safety and structural analysis.

Research Skills

Dr. Sojoudi Zadeh possesses expertise in finite element analysis, structural modeling, and computational optimization. He is proficient in using engineering software such as SAP2000, ETABS, ANSYS, and MATLAB for structural simulations and performance evaluations. His skills in metaheuristic algorithms, AI-based structural optimization, and seismic design methodologies allow him to develop efficient, cost-effective, and safe structural solutions. Additionally, he has strong analytical and problem-solving skills, enabling him to conduct data-driven research and experimental validations in civil and structural engineering.

Conclusion

Dr. Reza Sojoudi Zadeh is a strong candidate for the Best Researcher Award, particularly in the domain of structural optimization and seismic engineering. His work in metaheuristic optimization, AI applications in structural engineering, and earthquake-resistant structures is significant. However, to strengthen his application, he could focus on increasing research impact (citations, collaborations), engaging in applied research, and obtaining high-profile recognitions.

Publications Top Noted

  • Title: Modified Sine-Cosine Algorithm for Sizing Optimization of Truss Structures with Discrete Design Variables

    • Authors: S. Gholizadeh, R. Sojoudizadeh
    • Year: 2019
    • Citations: 32

  • Title: Shape and Size Optimization of Truss Structure by Means of Improved Artificial Rabbits Optimization Algorithm

    • Authors: S. L. SeyedOskouei, R. Sojoudizadeh, R. Milanchian, H. Azizian
    • Year: 2024
    • Citations: 8

  • Title: Elite Particles Method in Discrete Metaheuristic Optimization of Structures

    • Authors: R. Sojoudizadeh, S. Gholizadeh
    • Year: 2022
    • Citations: 2

  • Title: Sizing Optimization of Truss Structures with Discrete Design Variables Using Combined PSO Algorithm with Special Particles Method

    • Authors: A. Gheibi, R. Sojoudizadeh, H. Azizian, M. Gheibi
    • Year: 2024
    • Citations: 1

  • Title: Seismic Optimization of Steel Mega‐Braced Frame With Improved Prairie Dog Metaheuristic Optimization Algorithm

    • Authors: T. PayamiFar, R. Sojoudizadeh, H. Azizian, L. Rahimi
    • Year: 2025

  • Title: Seismic Behavior of Concrete Shear Wall with Lap-Spliced Rebar and Sleeve

    • Authors: J. Hasankhani, E. Shafei, R. Sojoudizadeh, S. J. Ghaderi
    • Year: 2024

  • Title: Effect of Configuration Angle on Seismic Performance of Tall Steel Diagrid Frames

    • Authors: R. Sojoudizadeh, R. Milanchian, H. Azizian, A. Beirami Shahabi
    • Year: 2024

  • Title: Enhancing Seismic Performance of Lap-Spliced Concrete Shear Walls by Rebar-Debonding

    • Authors: J. Hasankhani, E. Shafei, R. Sojoudizadeh, S. J. Ghaderi
    • Year: 2024

  • Title: روش ذرات نخبه در بهینه سازی گسسته سازه ها‎ (Elite Particles Method in Discrete Optimization of Structures)

    • Authors: سجودی زاده, قلی زاده قلعه عزیز‎ (R. Sojoudizadeh, S. Gholizadeh)
    • Year: 2022

Suihong Liu | Engineering | Young Scientist Award

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Mr. Suihong Liu | Engineering | Young Scientist Award

Postdoc at Penn State University, United States

Dr. Suihong Liu is a dedicated researcher specializing in 3D bioprinting, biofabrication, and tissue engineering. He obtained a double Ph.D. degree in Mechanical Manufacture and Automation from Shanghai University and Biomedical Engineering from Technische Universität Dresden. Currently, he is a Postdoctoral Fellow at Penn State University in Prof. Ibrahim T. Ozbolat’s lab. With an impressive research portfolio, Dr. Liu has published 31 papers, including 12 as first or co-first author, accumulating over 500 citations and an H-index of 14. His work focuses on multi-material 3D bioprinting, bioinks, and osteochondral regeneration, earning him multiple national scholarships and awards. He has contributed to book chapters, holds five Chinese patents, and actively participates in international conferences. Dr. Liu is also a reviewer for prestigious journals. His expertise in bioprinting and biomaterials, coupled with strong leadership and collaborative skills, positions him as a promising young scientist in the field of biomedical engineering.

Professional Profile 

Education

Dr. Suihong Liu has a strong academic background in engineering and biomedical sciences. He completed a Bachelor of Engineering in Mechanical Design, Manufacture, and Automation from the University of Shanghai for Science and Technology, ranking in the top 4% of his class. He then pursued a Master-Ph.D. joint program at Shanghai University, specializing in Mechanical Manufacture and Automation, where he focused on advanced 3D bioprinting technologies. His academic excellence placed him in the top 5% of his cohort. Additionally, he undertook a joint Ph.D. program at Technische Universität Dresden in Germany, earning a double Ph.D. degree in Biomedical Engineering. His doctoral research emphasized multi-material 3D bioprinting for osteochondral regeneration and clinical translation. Dr. Liu’s interdisciplinary education, combining mechanical engineering with biomedical applications, has equipped him with cutting-edge expertise in biofabrication and tissue engineering, laying a strong foundation for his contributions to scientific innovation and translational research.

Professional Experience

Dr. Suihong Liu has extensive professional experience in 3D bioprinting, biofabrication, and tissue engineering. He is currently a Postdoctoral Fellow at Penn State University in Prof. Ibrahim T. Ozbolat’s lab, where he focuses on advanced bioprinting techniques for tissue regeneration. Prior to this, he served as a Postdoctoral Scholar at the Shanghai Institute of Ceramics, Chinese Academy of Sciences, under Prof. Chengtie Wu, where he contributed to pioneering research in biomaterials and tissue engineering. Throughout his academic and professional career, Dr. Liu has been involved in interdisciplinary research, bridging mechanical engineering with biomedical applications. His expertise includes multi-material bioprinting, bioink development, and osteochondral regeneration. He has actively participated in international conferences, collaborated with leading researchers, and contributed to high-impact publications and patents. Dr. Liu’s strong research background, technical expertise, and collaborative approach make him a valuable asset in the field of biomedical engineering and regenerative medicine.

Research Interest

Dr. Suihong Liu’s research interests lie at the intersection of 3D bioprinting, biofabrication, and tissue engineering, with a strong focus on developing innovative biomaterials for regenerative medicine. His work explores multi-material 3D bioprinting techniques to create complex tissue structures that mimic natural biological systems. He is particularly interested in bioink formulation, electrospinning, EHD-jet printing, and melt electrowriting for fabricating functional tissue scaffolds. His research aims to enhance osteochondral regeneration and advance clinical translation of bioprinted constructs for medical applications. Dr. Liu is also engaged in investigating novel crosslinking methods for hydrogel composites to improve their mechanical properties and biocompatibility. Through interdisciplinary collaboration, he seeks to push the boundaries of biofabrication by integrating engineering, biomaterials science, and cell biology. His ultimate goal is to contribute to the development of personalized tissue grafts and organ-on-chip models for disease modeling, drug testing, and regenerative therapies.

Award and Honor

Dr. Suihong Liu has received numerous awards and honors in recognition of his academic excellence, research contributions, and leadership skills. He was a recipient of the prestigious Chinese National Scholarship twice during his Ph.D., as well as the Chinese National Aspiration Scholarship. His outstanding academic performance earned him the Scholarship for Academic Excellence and a Corporate Scholarship. Dr. Liu demonstrated exceptional innovation and technical expertise by securing first prizes in both the National Mechanical Design Competition and the Shanghai Machinery Innovation Competition. In addition to his research and technical achievements, he was recognized for his leadership and service, receiving awards for Outstanding Student Leadership, Excellent Volunteers, and Excellent Graduate. Furthermore, he was awarded the China Scholarship Council (CSC) Scholarship, supporting his international research endeavors. These accolades reflect his dedication to advancing the field of biofabrication and 3D bioprinting while maintaining a strong commitment to academic and professional excellence.

Research Skill

Dr. Suihong Liu possesses extensive research skills in biofabrication, 3D bioprinting, and tissue engineering, making significant contributions to the field. His expertise includes CAD/CAM software for precise modeling and fabrication, electrospinning techniques for creating nanofiber structures, and advanced 3D (bio)printing technologies such as EHD-jet printing and melt electrowriting. He has hands-on experience in cell culture, biochemistry testing, and developing multi-material bioinks for biomedical applications. Dr. Liu’s research focuses on enhancing biomaterial properties for osteochondral regeneration and clinical translation, as evidenced by his high-impact publications in top-tier journals. Additionally, his ability to conduct interdisciplinary research is demonstrated by his collaborations across mechanical engineering, biomedical sciences, and material sciences. His strong analytical skills, innovative approach to problem-solving, and ability to manage complex research projects have led to multiple patents and invited peer reviews for renowned scientific journals, further solidifying his expertise in the field.

Conclusion

Suihong Liu is a highly suitable candidate for the Young Scientist Award, given his strong research contributions, high-impact publications, international collaborations, and innovation through patents. His work in 3D bioprinting and biofabrication aligns well with cutting-edge advancements in biomedical engineering. To further enhance his profile, he could focus on independent research leadership, securing research funding, and increasing his scientific outreach. With continued progress, he has the potential to become a leading researcher in his field.

Publications Top Noted

  • Title: Interparticle Crosslinked Ion-responsive Microgels for 3D and 4D (Bio) printing Applications
    Authors: V Pal, D Gupta, S Liu, I Namli, SHA Rizvi, YO Yilmaz, L Haugh, …
    Year: 2025
    Citations: Not available (new publication)

  • Title: Synergy of engineered gelatin methacrylate-based porous microspheres and multicellular assembly to promote osteogenesis and angiogenesis in bone tissue reconstruction
    Authors: X Hu, Q Hu, S Liu, H Zhang
    Year: 2024
    Citations: Not available (new publication)

  • Title: Electrospinning drug-loaded polycaprolactone/polycaprolactone-gelatin multi-functional bilayer nanofibers composite scaffold for postoperative wound healing of cutaneous injuries
    Authors: Y Song, Q Hu, S Liu, G Yao, H Zhang
    Year: 2024
    Citations: Not available (new publication)

  • Title: 3D printed biomimetic composite scaffolds with sequential releasing of copper ions and dexamethasone for cascade regulation of angiogenesis and osteogenesis
    Authors: Y Song, Q Hu, S Liu, Y Wang, L Jia, X Hu, C Huang, H Zhang
    Year: 2024
    Citations: 9

  • Title: Electrospinning/3D printing drug-loaded antibacterial polycaprolactone nanofiber/sodium alginate-gelatin hydrogel bilayer scaffold for skin wound repair
    Authors: Y Song, Q Hu, S Liu, Y Wang, H Zhang, J Chen, G Yao
    Year: 2024
    Citations: 24

  • Title: A 5+1-axis 3D printing platform for producing customized intestinal fistula stents
    Authors: Q Hu, J Cui, H Zhang, S Liu, M Ramalingam
    Year: 2023
    Citations: 3

  • Title: Bioinks for space missions: the influence of long‐term storage of alginate‐methylcellulose‐based bioinks on printability as well as cell viability and function
    Authors: J Windisch, O Reinhardt, S Duin, K Schütz, NJN Rodriguez, S Liu, A Lode, …
    Year: 2023
    Citations: 16

  • Title: Synergy of inorganic and organic inks in bioprinted tissue substitutes: construct stability and cell response during long-term cultivation in vitro
    Authors: S Liu, A Bernhardt, K Wirsig, A Lode, Q Hu, M Gelinsky, D Kilian
    Year: 2023
    Citations: 11

  • Title: Building a 3D printed osteocytic network by differentiation of primary human osteoblasts towards construction of a 3D printed in vitro bone model
    Authors: A Bernhardt, K Wirsig, AR Akkineni, L Suihong, M Gelinsky
    Year: 2023
    Citations: Not available

  • Title: Influence of long-term storage of cell-laden alginate-methylcellulose based bioinks on printability as well as cell viability and function
    Authors: J Windisch, K Schuetz, O Reinhardt, S Duin, S Liu, A Lode, M Gelinsky
    Year: 2023
    Citations: Not available

  • Title: A novel eggwhite powder-enhanced bioink stimulates cell proliferation and response in 3D bioprinted tissue substitutes
    Authors: S Liu, D Kilian, A Bernhardt, A Lode, Q Hu, M Gelinsky
    Year: 2023
    Citations: Not available

  • Title: 3D Bioprinting tissue analogs: Current development and translational implications
    Authors: S Liu, L Cheng, Y Liu, H Zhang, Y Song, JH Park, K Dashnyam, JH Lee, …
    Year: 2023
    Citations: 12

 

Anuj Kumar | Engineering | Best Researcher Award

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Mr. Anuj Kumar | Engineering | Best Researcher Award

Assistant Professor at Management Education & Research Institute, Janakpuri, India

Anuj Kumar is an accomplished academic and researcher in Computer Science & Engineering, currently pursuing a Ph.D. in Image Processing at AKTU, Lucknow. With over a decade of teaching experience at institutions like Guru Gobind Singh Indraprastha University and IIMT College of Engineering, he has significantly contributed to education and research. His expertise spans artificial intelligence, computer graphics, and data structures, complemented by proficiency in programming languages such as Python, C++, and MATLAB. He has published research papers in Scopus-indexed journals, IEEE Explorer, and Elsevier, along with a book chapter on distributed artificial intelligence. Recognized for his contributions, he was awarded at the Smart India Hackathon 2018 and qualified GATE 2012 with an 85.04 percentile. Anuj is actively involved in academic leadership, faculty development, and university assessments. With a commitment to innovation and interdisciplinary research, he aspires to advance computational methodologies and industrial applications in artificial intelligence and image processing.

Professional Profile 

Education

Anuj Kumar has a strong academic background in Computer Science & Engineering. He is currently pursuing a Ph.D. in Image Processing from Dr. A.P.J. Abdul Kalam Technical University (AKTU), Lucknow, Uttar Pradesh, demonstrating his commitment to advanced research. He earned his M.Tech in Computer Science & Engineering from Guru Gobind Singh Indraprastha University, Delhi, in 2014, securing a first division. His undergraduate studies include a B.Tech in Computer Science & Engineering from the Institution of Electronics & Telecommunication Engineers (IETE), Delhi, in 2011, also with first-division honors. Additionally, he holds a Three-Year Diploma in Computer Science & Engineering from IETE, Delhi (2006). His early education was completed under the U.P. Board, where he finished 10th grade (2000) and 12th grade (2003) in the second division. His educational journey, enriched with technical certifications like MCAD (Microsoft Certified Application Developer) in 2006, has laid a strong foundation for his expertise in computing and research.

Professional Experience

Anuj Kumar has extensive academic experience as an Assistant Professor in Computer Science & Engineering, with a teaching career spanning over a decade across prestigious institutions. Since July 2023, he has been serving at MERI College of Engineering and Technology, Haryana. Prior to this, he worked at IIMT College of Engineering, Greater Noida (2022–2023) and Greater Noida Institute of Technology, GGSIPU (2018–2022), where he contributed to curriculum development and research initiatives. He also held academic positions at USIC&T, Guru Gobind Singh Indraprastha University (2017–2018) and Ram-Eesh Institute of Engineering & Technology (2017). Earlier in his career, he served at Baba Saheb Ambedkar Institute of Technology & Management (2014–2016) and The Institution of Electronics & Telecommunication Engineers, Delhi (2011–2012). His vast experience includes mentoring students, conducting faculty development programs, and leading academic audits, showcasing his commitment to education, research, and institutional development.

Research Interest

Anuj Kumar’s research interests lie at the intersection of computer vision, image processing, artificial intelligence, and computational methods. Currently pursuing a Ph.D. in Image Processing, he focuses on developing advanced techniques for image enhancement, noise removal, and forgery detection using deep learning algorithms. His expertise extends to computer graphics, formal language automata, database management systems (DBMS), data structures, and discrete mathematics, which serve as the foundation for his research innovations. He has actively contributed to AI-driven industrial systems, biodiversity assessment using hyperspectral imaging, and disruptive innovations in tech-business analytics. His work has been published in Scopus-indexed journals, IEEE conference proceedings, and reputed international journals, reflecting the impact of his research. Additionally, he explores the applications of distributed artificial intelligence (DAI) for document retrieval, emphasizing intelligent data processing techniques. His dedication to cutting-edge research strengthens his role as a mentor and academician in the field of computer science and engineering.

Award and Honor

Anuj Kumar has been recognized for his academic excellence and research contributions through various awards and honors. He was awarded in the Smart India Hackathon 2018, a prestigious national-level competition promoting innovation and problem-solving skills. Demonstrating strong technical acumen, he qualified GATE 2012 with an impressive 85.04 percentile and a score of 302, showcasing his expertise in computer science and engineering. His achievements extend beyond academics, as he was the runner-up in the 100m race at IETE, New Delhi, in 2005, highlighting his diverse talents. Additionally, he has played a significant role in academia as a convener of the Joint Assessment Committee (JAC) for academic audits, deputy center superintendent for examinations, and university representative in various assessment programs. His dedication to research and education is further reflected in his memberships on editorial boards and professional organizations, solidifying his reputation as a distinguished academic and researcher.

Research Skill

Anuj Kumar possesses a strong research skillset that spans multiple domains within computer science and engineering, particularly in image processing, artificial intelligence, and computational methods. His expertise in deep learning, fuzzy techniques, and hyperspectral imaging enables him to develop innovative solutions for image enhancement, noise removal, and forgery detection. He is proficient in Python, MATLAB, C++, and various database management systems (DBMS), which support his research in data analysis, automation, and intelligent computing. His ability to critically analyze complex problems, design experiments, and implement advanced algorithms has led to multiple Scopus-indexed publications, IEEE conference presentations, and book chapters. Additionally, his role in academic audits, faculty development programs, and technical training workshops demonstrates his leadership in research and education. His strong analytical thinking, problem-solving capabilities, and hands-on approach to emerging technologies make him a highly skilled researcher in the field of computer vision and artificial intelligence.

Conclusion

Anuj Kumar has a strong academic foundation, technical expertise, and a growing research portfolio in computer science and engineering. His contributions to image processing, artificial intelligence, and industrial automation position him as a promising candidate for the Best Researcher Award. However, enhancing high-impact publications, research collaborations, and funding contributions would further strengthen his profile for this recognition.

Publications Top Noted

  • P., Jaidka, Preeti, P., Upadhyay, Prashant, A., Kumar, Aman, A.S., Kumar, Anuj Shiva, S.P., Yadav, Satya Prakash (2024). Transforming Coconut Farming with Deep Learning Disease Detection. Evergreen. Citations: 0

  • D., Sharma, Deepak, A.S., Kumar, Anuj Shiva, N., Tyagi, Nitin, S.S., Chavan, Sunil S., S.M.P., Gangadharan, Syam Machinathu Parambil (2024). Towards intelligent industrial systems: A comprehensive survey of sensor fusion techniques in IIoT. Measurement: Sensors. Citations: 3

  • S., Singh, Sandeep, B.K., Singh, B. K., A.S., Kumar, Anuj Shiva (2024). Multi-organ segmentation of organ-at-risk (OAR’s) of head and neck site using ensemble learning technique. Radiography. Citations: 3

  • R., Naz, Rahat, A.S., Kumar, Anuj Shiva (2024). Surveying Quantum-Proof Blockchain Security: The Era of Exotic Signatures. Conference Paper. Citations: 1

 

Amr Shafik | Engineering | Best Researcher Award

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Mr. Amr Shafik | Engineering | Best Researcher Award

Civil Engineering Department at Virginia Tech, United States

Amr Shafik is a dedicated researcher specializing in transportation systems engineering, with over seven years of academic and industry experience in transportation planning, traffic engineering, and intelligent mobility solutions. Currently a Ph.D. candidate in Civil and Environmental Engineering at Virginia Tech, his research focuses on optimizing eco-driving systems for connected and automated vehicles, stochastic traffic signal control, and predictive modeling. He has published extensively in IEEE Transactions on Intelligent Transportation Systems and presented at prestigious conferences such as the IEEE Smart Mobility Conference and the Transportation Research Board Annual Meetings. Amr has collaborated with global organizations like the World Bank and EBRD on large-scale mobility projects. With expertise in simulation modeling, data science, and machine learning, he contributes to sustainable transportation innovations. Additionally, he has extensive teaching experience, mentoring students in traffic engineering and transportation planning. His technical skills include Python, R, AutoCAD, GIS, and advanced traffic simulation tools.

Professional Profile

Education

Amr Shafik holds a strong academic background in transportation engineering and data-driven mobility solutions. He is currently pursuing a Ph.D. in Civil and Environmental Engineering at Virginia Tech, where his research focuses on eco-driving optimization for connected and automated vehicles, stochastic traffic signal control, and predictive modeling. He earned his Master’s degree in Transportation Engineering from Cairo University, where he specialized in traffic flow theory, simulation modeling, and intelligent transportation systems. His thesis explored data-driven approaches to optimizing urban traffic networks. Prior to that, he completed his Bachelor’s degree in Civil Engineering from Cairo University with distinction, laying the foundation for his expertise in infrastructure design, traffic analysis, and sustainable mobility. Throughout his academic journey, he has engaged in interdisciplinary research, collaborated with global institutions, and honed advanced technical skills in Python, GIS, and transportation simulation tools. His education equips him to tackle real-world transportation challenges with innovative solutions.

Professional Experience

Amr Shafik has extensive professional experience in transportation engineering, data-driven mobility solutions, and intelligent transportation systems. He has worked as a Research Assistant at Virginia Tech, contributing to projects on eco-driving optimization, stochastic traffic signal control, and predictive modeling for connected and automated vehicles. Prior to this, he served as a Transportation Engineer at a leading consultancy, where he specialized in traffic flow analysis, microsimulation modeling, and urban mobility planning. His expertise extends to working with big data analytics, GIS applications, and machine learning for transportation systems. He has collaborated with government agencies and research institutions to develop sustainable and efficient mobility solutions. Additionally, he has experience in teaching and mentoring students in transportation engineering concepts. His strong analytical skills, combined with his hands-on experience in software tools like Python, MATLAB, and traffic simulation platforms, position him as a key contributor to the advancement of smart and sustainable transportation networks.

Research Interest

Amr Shafik’s research interests lie at the intersection of transportation engineering, intelligent mobility, and data-driven traffic management. He focuses on optimizing traffic flow and enhancing transportation efficiency through connected and automated vehicle technologies, eco-driving strategies, and stochastic traffic signal control. His work integrates machine learning, big data analytics, and artificial intelligence to develop predictive models for traffic behavior and mobility patterns. He is particularly interested in sustainable urban transportation, leveraging smart mobility solutions to reduce congestion, emissions, and energy consumption. His research also explores the application of Geographic Information Systems (GIS) and simulation modeling in transportation planning. By collaborating with industry partners and academic institutions, he aims to contribute to the development of next-generation intelligent transportation systems that improve safety, efficiency, and environmental sustainability. His passion for innovation and interdisciplinary research drives him to address real-world transportation challenges through advanced computational and analytical techniques.

Awards and honor

Amr Shafik has received numerous awards and honors in recognition of his contributions to transportation engineering and intelligent mobility research. He has been honored with prestigious research grants and fellowships for his work on data-driven traffic management and sustainable transportation solutions. His innovative research has earned him accolades at international conferences, where he has received Best Paper and Outstanding Research awards. He has also been recognized by professional engineering societies for his significant advancements in traffic optimization and eco-driving strategies. Additionally, he has been awarded competitive scholarships for academic excellence and leadership in the field of intelligent transportation systems. His contributions to collaborative projects with industry and government agencies have further solidified his reputation as a leading researcher in the field. Through his dedication to advancing transportation science, Amr Shafik continues to receive recognition for his impactful work in shaping the future of smart and sustainable mobility solutions.

Research skill

Amr Shafik possesses a diverse set of research skills that contribute to his expertise in transportation engineering and intelligent mobility solutions. He excels in data analysis, statistical modeling, and machine learning applications for traffic flow optimization and predictive analytics. His proficiency in programming languages such as Python, MATLAB, and R enables him to develop advanced algorithms for real-time traffic monitoring and control. He is skilled in using Geographic Information Systems (GIS) and simulation software like VISSIM and SUMO to model transportation networks and assess the impact of smart mobility solutions. Additionally, he has a strong background in sensor data processing and Internet of Things (IoT) applications for connected and autonomous vehicles. His ability to conduct interdisciplinary research, collaborate with industry stakeholders, and publish high-impact studies demonstrates his analytical thinking, problem-solving abilities, and dedication to innovation in the field of intelligent transportation systems and sustainable urban mobility.

Conclusion

Amr Shafik is a strong candidate for the Best Researcher Award due to his extensive contributions to transportation engineering, expertise in traffic optimization, and impactful research in connected and automated vehicles. His impressive academic and industry experience, along with publications in top-tier conferences and journals, showcases his research excellence. To further strengthen his profile, expanding interdisciplinary collaborations, securing independent research funding, and pursuing patents or industry partnerships would be beneficial.

Publications Top Noted

  • Optimization of vehicle trajectories considering uncertainty in actuated traffic signal timings

    • Authors: AK Shafik, S Eteifa, HA Rakha
    • Year: 2023
    • Citations: 19

  • Queue Length Estimation and Optimal Vehicle Trajectory Planning Considering Queue Effects at Actuated Traffic Signal Controlled Intersections

    • Authors: A Shafik, H Rakha
    • Year: 2024
    • Citations: 5

  • Environmental Impacts of MSW Collection Route Optimization Using GIS: A Case Study of 10th of Ramadan City, Egypt

    • Authors: A Shafik, M Elkhedr, D Said, A Hassan
    • Year: 2022
    • Citations: 4

  • Integrated Back of Queue Estimation and Vehicle Trajectory Optimization Considering Uncertainty in Traffic Signal Timings

    • Authors: AK Shafik, HA Rakha
    • Year: 2024
    • Citations: 3

  • Optimal Trajectory Planning Algorithm for Connected and Autonomous Vehicles Towards Uncertainty of Actuated Traffic Signals

    • Authors: A Shafik, S Eteifa, HA Rakha, E Center
    • Year: 2023
    • Citations: 3

  • Development of Online VISSIM Traffic Microscopic Calibration Framework Using Artificial Intelligence for Cairo CBD Area

    • Authors: AK Shafik, A Hassan, AM Saied, AE & Abdelmegeed
    • Year: 2022
    • Citations: 2

  • Deep Learning Ensemble Approach for Predicting Expected and Confidence Levels of Traffic Signal Switch Times

    • Authors: S Eteifa, AK Shafik, H Eldardiry, HA Rakha
    • Year: 2024
    • Citations: 1

  • Kalman Filter-based Real-Time Traffic State Estimation and Prediction using Vehicle Probe Data

    • Authors: AK Shafik, HA Rakha
    • Year: 2024
    • Citations: 1

  • Enhancing and Evaluating a Decentralized Cycle-Free Game-Theoretic Adaptive Traffic Signal Controller on an Isolated Signalized Intersection

    • Authors: AK Shafik, HA Rakha
    • Year: 2024
    • Citations: 1

  • Real-Time Turning Movement, Queue Length, and Traffic Density Estimation and Prediction Using Vehicle Trajectory and Stationary Sensor Data

    • Authors: AK Shafik, HA Rakha
    • Year: 2025
    • Citations: N/A

  • Deep Learning Ensemble Approach for Predicting Expected and Confidence Levels of Signal Phase and Timing Information at Actuated Traffic Signals

    • Authors: S Eteifa, A Shafik, H Eldardiry, HA Rakha
    • Year: 2025
    • Citations: N/A

  • Real-Time Turning Movement, Queue Length and Traffic Density Estimation and Prediction from Probe Vehicle Data: A Kalman Filter Approach

    • Authors: A Shafik, HA Rakha
    • Year: 2025
    • Citations: N/A

  • Decentralized Cycle-Free Game-Theoretic Adaptive Traffic Signal Control: Model Enhancement and Testing on Isolated Signalized Intersections

    • Authors: AK Shafik, HA Rakha
    • Year: 2024
    • Citations: N/A

  • Real-Time Traffic State Estimation and Short-Term Prediction Using Probe Vehicle Data: A Kalman Filter Approach

    • Authors: A Shafik, H Rakha
    • Year: 2024
    • Citations: N/A

  • Queue Estimation and Consideration in Vehicle Trajectory Optimization at Actuated Signalized Intersections

    • Authors: AK Shafik, HA Rakha
    • Year: 2024
    • Citations: N/A

Mohammed Sulaiman | Engineering | Best Researcher Award

Posted on by ScienceFather

Dr. Mohammed Sulaiman | Engineering | Best Researcher Award

University Lecturer at Erbil Polytechnic University, Iraq

Dr. Mohammed Abdulqader Sulaiman is an accomplished researcher and academic specializing in Thermal Power Engineering. With a Ph.D. from Erbil Polytechnic University (2024), he has dedicated his career to advancing energy efficiency and cooling technologies. His research focuses on novel evaporative cooling systems, reflected in multiple publications in reputable international journals. As a lecturer and former Deputy Head of the Mechanical and Energy Engineering Department, he has played a vital role in academic leadership, laboratory development, and student mentorship. Proficient in engineering software like MATLAB, AutoCAD, and ANSYS, he integrates practical and theoretical expertise in his work. His contributions to renewable energy and refrigeration technologies position him as a strong candidate for research recognition, with potential for further impact through high-impact publications, industry collaborations, and research grants.

Profession Profile

Education

Dr. Mohammed Abdulqader Sulaiman holds a Ph.D. in Thermal Power Engineering from Erbil Polytechnic University (2024), where he also earned his M.Sc. in Thermal Power Engineering in 2016 and his B.Sc. in Refrigeration and Air-Conditioning Engineering in 2012. His academic journey has been dedicated to energy efficiency, heat transfer, and sustainable cooling technologies. Through his advanced studies, he has developed expertise in renewable energy, thermodynamics, and innovative cooling systems, contributing to both theoretical advancements and practical applications in the field of mechanical and energy engineering.

Professional Experience

Dr. Mohammed Abdulqader Sulaiman has extensive professional experience in academia and research, primarily at Erbil Polytechnic University. Since 2012, he has been a lecturer in the Mechanical and Energy Engineering Department, specializing in thermodynamics, renewable energy, and heat transfer. He served as Deputy Head of the department from 2017 to 2021, overseeing academic programs and research initiatives. Additionally, he has held key leadership roles, including Head of Laboratories and Workshops and In-Charge of Engineering Laboratories, contributing to the development of research infrastructure. Dr. Sulaiman has also been an active member of various academic committees, including the Examination and Summer Training Committees, demonstrating his commitment to student mentorship and curriculum development. His expertise in MATLAB, AutoCAD, and ANSYS further enhances his contributions to engineering education and research.

Research Interest

Dr. Mohammed Abdulqader Sulaiman’s research interests lie in the fields of thermal power engineering, energy efficiency, and innovative cooling technologies. His work focuses on dew-point evaporative cooling systems, heat and mass transfer, and sustainable energy solutions, aiming to improve cooling performance while reducing energy consumption. He is particularly interested in renewable energy applications, including solar, hydropower, wind, and geothermal energy, as well as advancements in refrigeration and air-conditioning systems. His research integrates experimental and numerical analysis, utilizing computational tools such as MATLAB, AutoCAD, and ANSYS to develop innovative thermal management solutions. Through his studies, Dr. Sulaiman aims to contribute to the development of energy-efficient and environmentally friendly technologies, addressing the growing global

Award and Honor

Dr. Mohammed Abdulqader Sulaiman has been recognized for his contributions to research and academia through various awards and honors. His dedication to thermal power engineering and energy efficiency has earned him appreciation within the academic and research community. As a member of the Kurdistan Engineers Association and Kurdistan Teachers Union, he has been acknowledged for his role in advancing engineering education and research. His innovative work in dew-point evaporative cooling systems and renewable energy applications has been published in reputable international journals, showcasing his impact in the field. With a strong academic and research background, he is a promising candidate for prestigious awards such as the Best Researcher Award, recognizing his commitment to scientific advancements and sustainable engineering solutions.

Conclusion

Mohammed Abdulqader Sulaiman is a strong candidate for the Best Researcher Award due to his solid academic background, research contributions, and leadership roles. While there are areas for further development, his expertise in thermal power engineering, innovative research in evaporative cooling, and commitment to education make him a competitive nominee.

Publications Top Noted

  • Title: Experimental and numerical investigation of novel dew-point evaporative cooler with shell and tube design
    Authors: MA Sulaiman, HA Saber, HF Hasan, AC Benim
    Year: 2025
    Citations: –

  • Title: Performance analysis of novel dew point evaporative cooler with shell and tube design through different air-water flow configurations
    Authors: MA Sulaiman, AM Adham, HF Hasan, AC Benim, HA Anjal
    Year: 2023
    Citations: 6

  • Title: Evaluation of new dew point evaporative cooler heat and mass exchanger designs with different geometries
    Authors: MA Sulaiman, AM Adham
    Year: 2023
    Citations: 4

  • Title: Energy Performance Analysis of Dew Point Evaporative Cooler with Novel Heat and Mass Exchanger Design
    Authors: MA Sulaiman, AM Adham
    Year: 2023
    Citations: 1

  • Title: Assessing the Performance of Novel Dew Point Evaporative Cooler Considering the Climatic Conditions of Different Cities in Iraq
    Authors: MA Sulaiman, AM Adham
    Year: 2023
    Citations: 1

  • Title: Enhancement of the Overall Performance of Vapor Compression Refrigeration System (VCRS) using Environmentally Friendly Refrigerant and Jumping Capacitors – Experimental Study
    Authors: ZK Shakir, AM Adham, MA Sulaiman, NK Mohammed
    Year: 2020
    Citations: 3

  • Title: Thermal and Hydrodynamic Characteristics of Graphite-H2O and CuO-H2O Nanofluids in Microchannel Heat Sinks
    Authors: SFO Mohammed Abdulqader Sulaiman, Ahmed Mohammed Adham
    Year: 2020
    Citations: 1*

  • Title: Design of a Domestic Diffusion Absorption Refrigeration System Using Evolutionary Algorithm
    Authors: AM Adham, MA Sulaiman
    Year: 2017
    Citations: 6