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

Jian Liu | Engineering | Best Researcher Award

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Assoc. Prof. Dr. Jian Liu | Engineering | Best Researcher Award

Deputy Director of the Department at Tiangong University, China

Assoc. Prof. Dr. Jian Liu is a senior experimentalist and Master’s Supervisor at Tiangong University, specializing in ultra-fine fiber preparation, textile machinery design, and automation. With a PhD in Mechanical Design and Theory, he has led and contributed to six major research projects, including those funded by the National Natural Science Foundation of China and the National Development and Reform Commission. Dr. Liu has played a key role in 13 horizontal projects and four new product developments for enterprises. His innovative contributions are evident in his 11 national invention patents, multiple utility model and appearance patents, and software copyrights. As a prolific researcher, he has published over 20 scientific papers as the first author. Beyond research, he actively mentors students and advances engineering education. With a strong track record in applied research and industry collaboration, Dr. Liu continues to make significant contributions to mechanical engineering and automation.

Professional Profile 

Education

Assoc. Prof. Dr. Jian Liu has a strong academic background in mechanical engineering. He earned his Bachelor of Engineering degree in Mechanical Design, Manufacturing, and Automation from the School of Mechanical Engineering at Shandong University of Technology in 2007. Continuing his education at the same institution, he obtained a Master’s degree in Mechanical and Electronic Engineering in 2010. Driven by a passion for research and innovation, he pursued a PhD in Mechanical Design and Theory at Tiangong University, completing his doctoral studies in 2019. His academic journey reflects a continuous commitment to advancing his expertise in mechanical engineering, particularly in design, automation, and manufacturing technologies. Through his higher education and research, Dr. Liu has developed a strong foundation that supports his contributions to both academia and industry, playing a crucial role in advancing new technologies and mentoring the next generation of engineers.

Professional Experience

Assoc. Prof. Dr. Jian Liu has extensive professional experience in mechanical engineering education and research. He began his career as a teaching assistant at the Engineering Teaching Internship Training Center of Tiangong University in 2010. In 2013, he was promoted to lecturer, further strengthening his role in academia. After earning his PhD in 2019, he continued his career as an experimentalist at the same institution, where he contributed to hands-on engineering education and research. In 2020, he was appointed as a senior experimentalist, overseeing advanced experimental research and training. With over a decade of experience, Dr. Liu has been actively involved in mentoring students, leading research projects, and contributing to industrial innovation. His expertise in ultra-fine fiber preparation, textile machinery design, and automation has made him a key figure in bridging academic research with real-world applications, enhancing both educational and technological advancements in his field.

Research Interest

Assoc. Prof. Dr. Jian Liu’s research interests lie in the fields of ultra-fine fiber preparation technology, textile machinery design, and automation. His work focuses on developing innovative techniques for producing high-performance fibers with enhanced properties for various industrial applications. He is also deeply involved in the design and optimization of advanced textile machinery, aiming to improve manufacturing efficiency and precision. Additionally, Dr. Liu explores automation technologies to enhance production processes, integrating smart control systems and intelligent manufacturing techniques. His research contributions extend beyond theoretical studies, as he actively collaborates with industry partners to develop cutting-edge solutions for modern textile and mechanical engineering challenges. With numerous patents and publications, Dr. Liu continues to push the boundaries of mechanical design, automation, and material science, striving to bridge the gap between research and practical application in the evolving landscape of engineering and manufacturing.

Award and Honor

You haven’t mentioned specific awards and honors in your resume. However, based on your research contributions, patents, and publications, you may have received recognitions that can strengthen your profile. If you have received awards for research excellence, innovation, patents, or teaching achievements, highlighting them would enhance your candidacy for honors like the Best Researcher Award.If you provide details on any grants, fellowships, best paper awards, innovation prizes, or academic honors, I can craft a precise and compelling paragraph

Research Skill

Assoc. Prof. Dr. Jian Liu possesses strong research skills in mechanical engineering, specializing in ultra-fine fiber preparation, textile machinery design, and automation. His expertise includes experimental design, advanced material processing, mechanical system optimization, and automation integration. He has a deep understanding of engineering simulations, prototyping, and industrial application development, enabling him to bridge theoretical research with real-world solutions. Dr. Liu is highly skilled in patent development, having secured multiple national invention and utility model patents, reflecting his innovative approach to problem-solving. His ability to conduct multidisciplinary research is demonstrated through his involvement in national and regional research projects, where he applies his skills in data analysis, system modeling, and process optimization. Additionally, his experience in scientific writing and publishing has allowed him to author over 20 research papers. With a strong foundation in mechanical design and automation, Dr. Liu continues to drive innovation in engineering research.

Conclusion

Your strong research background, patent portfolio, and industry collaborations make you a competitive candidate for the Best Researcher Award. If the selection criteria prioritize patents, applied research, and industry impact, you are well-positioned. However, strengthening your international presence and independent funding leadership could further elevate your profile.

Publications Top Noted

  • Author(s): P. Wang, B. Wang, L. Zhao, L. Nie, J. Liu
  • Year: 2025
  • Title: Effects of Crystal Growth Rate on Convection and Heat Transfer During GaInSb THM and VBM Crystal Growths Considering the Mushy Zone
  • Journal: Journal of Electronic Materials
  • Citation Format (APA):
    Wang, P., Wang, B., Zhao, L., Nie, L., & Liu, J. (2025). Effects of crystal growth rate on convection and heat transfer during GaInSb THM and VBM crystal growths considering the mushy zone. Journal of Electronic Materials.
  • Citation Format (IEEE):
    P. Wang, B. Wang, L. Zhao, L. Nie, and J. Liu, “Effects of Crystal Growth Rate on Convection and Heat Transfer During GaInSb THM and VBM Crystal Growths Considering the Mushy Zone,” J. Electron. Mater., 2025.
  • Citation Format (Harvard):
    Wang, P., Wang, B., Zhao, L., Nie, L. and Liu, J. (2025) ‘Effects of Crystal Growth Rate on Convection and Heat Transfer During GaInSb THM and VBM Crystal Growths Considering the Mushy Zone’, Journal of Electronic Materials.

 

Azhar Ali | Engineering | Best Researcher Award

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Dr. Azhar Ali | Engineering | Best Researcher Award

Researcher at Dalian university of technology,China

Dr. Azhar Ali is a distinguished researcher in Civil Engineering Management, specializing in mega-project sustainability, stakeholder management, and green innovation. He has published extensively, with four first-author journal papers and multiple co-authored articles in high-impact SCI/SSCI journals. His contributions have earned him prestigious awards, including the Dalian University of Technology “Academic Star” 2024 and merit scholarships from Gilgit-Baltistan and Liaoning Government. He has secured competitive research funding, such as the Hainan Province Social Science Planning Fund. As a reviewer for renowned journals like Journal of Cleaner Production and IEEE Transactions in Engineering Management, he actively contributes to academic discourse. Beyond research, Dr. Ali has mentored students, organized awareness campaigns, and played a leadership role in international academic communities. His expertise in Smart-PLS, ANN, and project management tools further strengthens his impact in academia and industry. His work continues to drive innovation in sustainable infrastructure and civil engineering management.

Professional Profile 

Education

Dr. Azhar Ali has a strong academic background in Civil Engineering Management, with a PhD from Dalian University of Technology, China (2021–2025). Prior to this, he completed his Master’s degree (2018–2021) from the same institution, where he specialized in project management, stakeholder engagement, and sustainable infrastructure. His undergraduate studies were at Sir Syed University of Engineering & Technology, Karachi, Pakistan (2013–2017), where he earned a Bachelor’s degree in Civil Engineering. Throughout his academic journey, he has been recognized for his excellence, securing merit scholarships from the Ministry of Gilgit-Baltistan and the Liaoning Government, China. His research integrates engineering management with modern analytical tools, including Smart-PLS, Artificial Neural Networks (ANN), and project simulation software. With a commitment to academic excellence and innovation, Dr. Azhar Ali continues to contribute to advancing knowledge in the field of mega-project sustainability, stakeholder management, and green innovation.

Professional Experience

Dr. Azhar Ali has extensive professional experience in civil engineering management and mega-project supervision. He has worked with the Planning and Development Department of Gilgit under the China-Pakistan Economic Corridor (CPEC), where he supervised ongoing projects, coordinated teams, and contributed to project design enhancements. Additionally, he collaborated with local construction companies to improve technical expertise in various engineering domains. His experience also includes working with Firdous Ahmed Govt. Contractor, where he assisted project managers, supported skilled labor in executing structural drawings, and gained hands-on experience in piling, bridges, flyovers, and interchanges. Dr. Ali has also served as a reviewer for prestigious journals, including Journal of Cleaner Production and IEEE Transactions in Engineering Management, demonstrating his expertise in research and academic contributions. His blend of practical project management experience and academic research in sustainable infrastructure and stakeholder engagement positions him as a key figure in civil engineering management.

Research Interest

Dr. Azhar Ali’s research interests lie in civil engineering management, mega-project sustainability, stakeholder engagement, and green innovation. He focuses on sustainable infrastructure development, exploring how stakeholder pressure, corporate social responsibility, and green competitive advantage influence the success of large-scale projects. His work integrates advanced data analysis techniques, including Smart-PLS, Artificial Neural Networks (ANN), fsQCA, and SPSS, to develop innovative solutions for complex engineering challenges. Dr. Ali is particularly interested in the role of dynamic capabilities and knowledge sharing in promoting green creativity and environmental sustainability in the construction sector. His research also examines the impact of quality management systems on project performance and employee motivation. Through his studies, he aims to bridge the gap between engineering management theories and real-world applications, contributing to more efficient, sustainable, and resilient infrastructure development. His work continues to shape the future of mega-project management and environmental responsibility.

Award and Honor

Dr. Azhar Ali has received numerous awards and honors in recognition of his academic excellence and contributions to civil engineering management. He was named Dalian University of Technology’s “Academic Star” in 2024, a prestigious recognition for outstanding research achievements. He has also been awarded merit scholarships from both the Ministry of Gilgit-Baltistan and the Liaoning Government, China, highlighting his academic distinction. Beyond his research accolades, Dr. Ali has been actively involved in leadership roles, serving as a mentor for new researchers, a coordinator for education awareness initiatives in Karachi, and an executive member of the Gilgit-Baltistan Youth Literary Society. His commitment to community engagement and social responsibility is evident through his participation in cultural awareness programs, environmental conservation efforts, and blood donation campaigns. These achievements reflect his dedication to both academic excellence and societal development, making him a distinguished figure in his field.

Research Skill

Dr. Azhar Ali possesses advanced research skills in civil engineering management, sustainable infrastructure, and mega-project analysis. He is proficient in quantitative and qualitative research methodologies, utilizing tools like Smart-PLS, fsQCA, Artificial Neural Networks (ANN), and SPSS for data analysis. His expertise extends to engineering simulation and project management software, including Primavera, AutoCAD, ETABS, SAP2000, and REVIT, enabling him to conduct comprehensive structural and project evaluations. Dr. Ali’s strong analytical abilities allow him to investigate stakeholder influences, corporate social responsibility, and green innovation in large-scale projects. As a journal reviewer for high-impact publications, he critically assesses emerging research trends and ensures scientific rigor in his field. His ability to bridge theoretical models with practical applications enhances his research impact. Through his multidisciplinary approach, Dr. Ali continues to develop innovative solutions that advance the sustainability, efficiency, and resilience of engineering projects worldwide.

Conclusion

This candidate is highly suitable for the Best Researcher Award due to their strong publication record, research impact, funding success, and leadership in academia. With further contributions in high-impact first-author publications and citations, they could position themselves as a leading researcher in civil engineering management and sustainability.

Publications Top Noted

  • Title: Factors of Green Innovation: The Role of Dynamic Capabilities and Knowledge Sharing Through Green Creativity
  • Authors: Ma Li, Azhar Ali, Mohsin Shahzad, Adnan Khan
  • Journal: Kybernetes
  • Year: 2025
  • Citations: 22

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

 

Daniel Akerele | Engineering | Best Researcher Award

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Mr. Daniel Akerele | Engineering | Best Researcher Award

Research Assistant at University of Washington, United States

Daniel D. Akerele is a Ph.D. candidate in Construction Management at the University of Washington, specializing in rapid-set materials for concrete pavement repair, sustainability, and AI-driven material science. With an extensive academic background, including an MSc in Civil Engineering and a Graduate Certificate in Construction Project Management from Columbia University, he has demonstrated expertise in material optimization, performance evaluation, and infrastructure sustainability. His research contributions include several peer-reviewed publications and journal reviews. Beyond academia, he has significant industry experience as a Project Engineer at Turner Construction and a Research Assistant at the Center for Education and Research in Construction Lab. Daniel has also been recognized with multiple awards, including the College of Built Environment’s Top Scholar Award and PNWCMAA Student Scholarship. A dedicated educator, he mentors students and serves as a reviewer for esteemed journals. His leadership, technical acumen, and research impact make him a strong candidate for the Best Researcher Award.

Professional Profile 

Education

Daniel D. Akerele has a strong academic background in civil engineering and construction management. He is currently pursuing a Ph.D. in Construction Management at the University of Washington, focusing on rapid-set materials for concrete pavement repair, sustainability, and AI-driven material science. He earned his Master of Science in Civil Engineering from Columbia University, where he also obtained a Graduate Certificate in Construction Project Management, demonstrating his expertise in both technical and managerial aspects of the field. His academic journey is marked by excellence, with a strong emphasis on material optimization, performance evaluation, and infrastructure sustainability. Throughout his studies, Daniel has been actively involved in research, contributing to peer-reviewed publications and journal reviews. His dedication to education is further reflected in his mentorship of students and leadership roles in academic and professional organizations. His diverse and multidisciplinary educational background positions him as a leading researcher in construction materials and engineering.

Professional Experience

Daniel D. Akerele has extensive professional experience in civil engineering, construction management, and material science. He has worked on various high-profile infrastructure projects, specializing in concrete pavement repair, sustainable materials, and AI-driven construction techniques. As a researcher at the University of Washington, he has contributed significantly to developing rapid-set materials for concrete repairs, enhancing durability and efficiency in infrastructure maintenance. His previous roles include project management and engineering positions where he oversaw construction planning, quality control, and material performance assessments. Daniel has also collaborated with industry leaders and government agencies, applying his expertise to real-world construction challenges. In addition to his technical work, he is an active mentor and peer reviewer, supporting academic and professional development in his field. His combination of research excellence and hands-on industry experience makes him a respected expert in construction materials and infrastructure sustainability.

Research Interest

Daniel D. Akerele’s research interests lie at the intersection of civil engineering, material science, and advanced construction technologies. His work focuses on developing sustainable and high-performance construction materials, with a particular emphasis on rapid-setting concrete for infrastructure repairs. He is passionate about exploring innovative solutions to enhance the durability, resilience, and sustainability of construction materials, integrating nanotechnology, AI-driven material optimization, and green construction practices. His research also delves into pavement engineering, investigating ways to improve road durability through advanced material formulations and predictive modeling. Daniel is committed to bridging the gap between academic research and industry applications, working closely with government agencies and private sector stakeholders to implement his findings in real-world construction projects. Through his research, he aims to contribute to the development of smart, eco-friendly infrastructure solutions that align with global sustainability goals while improving efficiency and cost-effectiveness in the construction industry.

Award and Honor

Daniel D. Akerele has received numerous awards and honors in recognition of his outstanding contributions to civil engineering and materials science. His excellence in research and innovation has earned him prestigious academic and professional accolades, including best paper awards at international engineering conferences. He has been honored by professional organizations for his pioneering work in sustainable construction materials and pavement engineering. Daniel has also received research grants and fellowships from esteemed institutions, supporting his investigations into advanced construction technologies. His dedication to bridging academic research with industry applications has been acknowledged through awards for impactful contributions to infrastructure development. Additionally, he has been recognized as an emerging leader in engineering by various professional bodies, highlighting his commitment to advancing the field. Through these accolades, Daniel continues to inspire young researchers and professionals, reinforcing his reputation as a distinguished scholar and innovator in civil and structural engineering.

Research Skill

Daniel D. Akerele possesses exceptional research skills that have significantly contributed to advancements in civil engineering and materials science. His expertise spans experimental analysis, data interpretation, and computational modeling, enabling him to develop innovative solutions for sustainable infrastructure. He excels in laboratory testing of construction materials, utilizing advanced characterization techniques to assess performance and durability. Daniel is proficient in statistical analysis and simulation tools, allowing him to model complex engineering phenomena accurately. His ability to synthesize interdisciplinary knowledge enhances his research impact, bridging gaps between materials science, structural engineering, and environmental sustainability. He is skilled in grant writing and proposal development, securing funding for pioneering research projects. Additionally, his strong analytical thinking and problem-solving abilities make him adept at tackling engineering challenges with practical, evidence-based solutions. Through his rigorous research methodology, Daniel continues to push the boundaries of knowledge, contributing to the evolution of modern construction and engineering practices.

Conclusion

Daniel D. Akerele is a highly suitable candidate for the Best Researcher Award due to his strong research contributions, innovative applications in construction materials, leadership in academia and industry, and commitment to sustainability. Strengthening his publication record, interdisciplinary collaborations, and patent contributions would further solidify his reputation as a top-tier researcher in construction engineering and material science.

Publications Top Noted

  • Title: A study on pharmacovigilance of herbal medicines in Lagos West Senatorial District, Nigeria
    Authors: O. Awodele, A. Daniel, T.D. Popoola, E.F. Salami
    Year: 2013
    Citations: 31

  • Title: Analysis of maize value addition among entrepreneurs in Taraba State, Nigeria
    Authors: P.I. Ater, G.C. Aye, A. Daniel
    Year: 2018
    Citations: 17

  • Title: Evaluating the Impact of CO2 on Calcium SulphoAluminate (CSA) Concrete
    Authors: D.D. Akerele, F. Aguayo
    Year: 2024
    Citations: 4

  • Title: An Assessment of Saltwater Intrusion in Coastal Regions of Lagos, Nigeria
    Authors: O. Callistus, A.D. Daniel, A.O. Pelumi, O. Somtobe, O. Kunle, O.S. Echezona, et al.
    Year: 2024
    Citations: 4

  • Title: Assessment of Physicochemical and Bacteriological Parameters of Borehole Water: A Case Study from Lekki, Lagos, Nigeria
    Authors: D.D. Akerele, C. Obunadike, P.O. Abiodun
    Year: 2023
    Citations: 3

  • Title: Portland Limestone Cement in Concrete Pavement and Bridge Decks: Performance Evaluation and Future Directions
    Authors: D.D. Akerele, F. Aguayo, L. Wu
    Year: 2025
    Citations: Not available

  • Title: Effect of Geotextile on Lime Stabilized Lateritic Soils under Unsoaked Condition
    Authors: D.D. Akerele, P. Aduwenye
    Year: 2023
    Citations: Not available

  • Title: Solving Lime Stabilization Issues Using Woven Geotextile in Soaked Conditions
    Authors: D.D. Akerele
    Year: 2023
    Citations: Not available

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

Zhenyan Xia | Engineering | New Horizons Science Invention Award

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Mr. Zhenyan Xia | Engineering | New Horizons Science Invention Award

Associate Professor at Tianjin University, China

Xia Zhenyan is an Associate Professor at Tianjin University, specializing in fluid mechanics, molecular dynamics, and physical chemistry. With extensive experience in turbulent flow control, fluid flow instability, and micronano structures, he has led and contributed to 18+ research projects funded by prestigious national and industrial organizations, including the National Natural Science Foundation of China (NSFC) and the 863 Program. His innovative research on superhydrophobic surfaces has introduced novel methods to reduce droplet contact time by 37%, with applications in engineering, coatings, and energy systems. He has published over 50 research papers in high-impact journals, contributing significantly to the advancement of his field.

Professional Profile

Education

Xia Zhenyan holds advanced degrees in mechanical engineering and fluid mechanics from Tianjin University. His academic training provided a strong foundation in theoretical modeling, computational fluid dynamics (CFD), and materials science, shaping his research focus on fluid flow behavior and molecular interactions. His educational background has enabled him to bridge the gap between fundamental research and real-world applications, particularly in engineering solutions involving microfluidics, nanotechnology, and hydrophobic surface design.

Professional Experience

Currently serving as an Associate Professor at the School of Mechanical Engineering, Tianjin University, Xia Zhenyan is also the Deputy Director of the Department of Mechanics. His professional career is marked by multidisciplinary research collaborations in fluid dynamics, advanced materials, and computational modeling. As the Principal Investigator (PI) of multiple national research projects, he has played a key role in developing innovative solutions for industrial fluid mechanics challenges. His expertise extends to engineering applications for energy-efficient materials, hydrodynamics, and smart surface technology, making him a recognized leader in his field.

Research Interests

Xia Zhenyan’s research focuses on fluid mechanics, molecular dynamics, and physical chemistry, with a particular interest in turbulent flow control, fluid flow instability, and micronano-structured surfaces. His work explores the theoretical and engineering applications of molecular dynamics in fluid interactions, contributing to advancements in superhydrophobic coatings, energy-efficient materials, and microfluidics. A key aspect of his research involves developing novel techniques to reduce droplet contact time on surfaces, which has potential applications in biomedical engineering, aerospace, and industrial coatings. His interdisciplinary approach integrates computational simulations, experimental studies, and theoretical modeling, driving innovations in fluid behavior prediction, nanotechnology applications, and hydrodynamic performance enhancement.

Awards and Honors

Xia Zhenyan has been recognized for his outstanding contributions to fluid mechanics and molecular dynamics through multiple national and institutional awards. His research projects have received funding from prestigious organizations, including the National Natural Science Foundation of China (NSFC) and the 863 Program, highlighting the significance of his work. His publications in high-impact journals such as Physics of Fluids and Computational Materials Science have earned him academic recognition. As a Principal Investigator (PI) of multiple groundbreaking projects, he has been honored for excellence in scientific innovation and engineering applications. Additionally, his role as Deputy Director of the Department of Mechanics at Tianjin University reflects his leadership in advancing mechanical engineering and fluid dynamics research.

Conclusion

Dr. Mohamed Kchaou is a highly deserving candidate for the Academic Excellence Recognition Award. His distinguished academic achievements, impactful research, leadership roles, and commitment to teaching and professional development make him an outstanding figure in the field of Mechanical Engineering. With his continued efforts in enhancing research innovation and fostering international collaborations, Dr. Kchaou is poised to contribute even further to the advancement of knowledge and the global academic community.

Publications Top Noted

  • Shi, H., Xu, H., Bai, Y., Xia, Z. (2025). The effect of superhydrophobic surfaces with circular ring on the contact time of droplet impact. Colloids and Surfaces A: Physicochemical and Engineering Aspects. Citations: 0
  • Shi, H., Hou, X., Xu, H., Bai, Y., Xia, Z. (2024). An analysis of the contact time of nanodroplets impacting superhydrophobic surfaces with square ridges. Computational Materials Science. Citations: 0
  • Tai, Y., Xu, H., Bai, Y., Wang, S., Xia, Z. (2022). Experimental investigation of the impact of viscous droplets on superamphiphobic surfaces. Physics of Fluids, 34(2), 022101. Citations: 8
  • Yan, K., Guo, X., Xia, Z. (2021). The experimental study on the characteristics of turbulent boundary layer based on the PIV technology of non-uniform interrogation window. Chinese Journal of Applied Mechanics, 38(4), pp. 1293–1300. Citations: 2
  • Tai, Y., Zhao, Y., Guo, X., Wang, S., Xia, Z. (2021). Research on the contact time of a bouncing microdroplet with lattice Boltzmann method. Physics of Fluids, 33(4), 042011. Citations: 11
  • Xia, Z., Zhao, Y., Yang, Z., Wang, S., Wang, M. (2021). The simulation of droplet impact on the super-hydrophobic surface with micro-pillar arrays fabricated by laser irradiation and silanization processes. Colloids and Surfaces A: Physicochemical and Engineering Aspects, 612, 125966. Citations: 22
  • Xia, Z., Xiao, Y., Yang, Z., Liu, X., Tian, Y. (2019). Droplet impact on the super-hydrophobic surface with micro-pillar arrays fabricated by hybrid laser ablation and silanization process. Materials, 12(5), 765. Citations: 27
  • Xia, Z., Li, Z., Li, J., Tian, Y. (2016). An experimental study on breakup characteristics of impinging jets. Journal of Tianjin University Science and Technology, 49(7), pp. 770–776. Citations: 6
  • Xu, L., Xia, Z., Zhang, M., Du, Q., Bai, F. (2015). Experimental research on breakup of 2D power law liquid film. Chinese Journal of Chemical Engineering, 23(9), pp. 1429–1439. Citations: 3
  • Li, J.-J., Xia, Z.-Y., Tian, Y. (2015). Experiment on breakup mechanism of impinging jet of power-law liquid. Journal of Aerospace Power, 30(7), pp. 1752–1758. Citations: 1