Mohamed Zakaria | Engineering | Best Researcher Award

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Dr. Mohamed Zakaria | Engineering | Best Researcher Award

Kafrelsheikh University Faculty of Engineering, Egypt

Dr. Mohamed H. Zakaria, an Assistant Professor in Civil Engineering at Kafrelsheikh University, Egypt, is a dedicated researcher specializing in Soil Mechanics, Foundation Engineering, Highway Engineering, and Reinforced Concrete. With a Ph.D. from Menoufia University and a consistent academic trajectory, he has published extensively in reputable international journals, contributing innovative research on structural behavior, excavation systems, and the integration of advanced techniques such as machine learning and finite element modeling. His recent work addresses critical infrastructure challenges, reflecting both technical depth and practical relevance. Dr. Zakaria maintains active profiles on ORCID, Scopus, and ResearchGate, demonstrating his engagement with the global research community. His research reflects strong potential for collaboration and societal impact. While he could further enhance his profile through increased citations, international projects, and mentorship roles, his achievements and commitment make him a highly suitable candidate for the Best Researcher Award, with significant promise for future contributions.

Professional Profile 

Education🎓

Dr. Mohamed H. Zakaria has pursued a robust and progressive academic path in the field of Civil Engineering. He earned his Ph.D. in Civil Engineering from Menoufia University, Egypt, where he focused on advanced geotechnical and structural engineering concepts. Prior to this, he obtained a Master of Science degree in Civil Engineering from Kafrelsheikh University, further deepening his expertise in soil mechanics and foundation engineering. His academic journey began at Kafrelsheikh University, where he laid a strong foundation in engineering principles. Throughout his educational career, Dr. Zakaria demonstrated academic excellence, dedication to research, and a commitment to innovation. His studies have equipped him with both theoretical knowledge and practical problem-solving skills, which are evident in his applied research and numerous publications. His educational background not only reflects a high level of specialization in his chosen field but also positions him well for continued contributions to civil engineering education and research.

Professional Experience📝

Dr. Mohamed H. Zakaria has amassed extensive professional experience in the field of Civil Engineering, primarily through his longstanding association with Kafrelsheikh University in Egypt. He began his academic career as a Demonstrator in 2014, steadily progressing to the position of Assistant Lecturer in 2019, and currently serves as an Assistant Professor in the Civil Engineering Department. His roles have encompassed teaching, mentoring, and conducting impactful research in soil mechanics, foundation engineering, and highway engineering. Dr. Zakaria has contributed significantly to the academic community through his involvement in experimental investigations, numerical modeling, and structural analysis. His research has been published in numerous high-impact journals, reflecting both academic rigor and practical relevance. Through his professional journey, he has demonstrated a strong commitment to advancing civil engineering knowledge and fostering innovation. His experience positions him as a capable educator, active researcher, and a valuable contributor to both academic and applied engineering projects.

Research Interest🔎

Dr. Mohamed H. Zakaria’s research interests are rooted in the core areas of Civil Engineering, with a particular focus on Soil Mechanics, Foundation Engineering, Highway Engineering, and Reinforced Concrete. He is especially passionate about understanding and improving the behavior of structural systems under various loading and environmental conditions. His work explores critical challenges such as settlement mitigation, bearing capacity enhancement, and the structural performance of pile walls and reinforced concrete elements. Dr. Zakaria is also interested in the application of advanced techniques like finite element modeling, machine learning, and experimental methods to optimize design and construction practices. His interdisciplinary approach combines theoretical modeling with practical experimentation, aiming to develop innovative and sustainable engineering solutions. Through his research, he seeks to enhance the safety, durability, and efficiency of infrastructure systems, making a tangible impact on both academic knowledge and engineering practice. His work invites collaboration and has strong potential for global relevance.

Award and Honor🏆

Dr. Mohamed H. Zakaria has earned recognition for his dedication to research and academic excellence in Civil Engineering. While specific named awards and honors are not extensively listed in public records, his consistent publication of high-quality research in reputable, peer-reviewed international journals reflects his scholarly impact and recognition within the academic community. His achievements in developing innovative solutions for geotechnical and structural engineering challenges, such as enhancing the performance of secant pile walls and utilizing machine learning in structural prediction, demonstrate both technical expertise and thought leadership. His rising citation metrics and growing international research collaborations also highlight his influence and professional standing. Dr. Zakaria’s academic progression—from Demonstrator to Assistant Professor at Kafrelsheikh University—illustrates his merit and recognition by peers and institutions. As he continues to contribute significantly to his field, he is well-positioned to receive further honors and awards in acknowledgment of his impactful research and academic leadership.

Research Skill🔬

Dr. Mohamed H. Zakaria possesses a diverse and well-developed set of research skills that span both theoretical and practical aspects of Civil Engineering. He is highly proficient in experimental design and laboratory testing, particularly in the areas of soil mechanics, foundation behavior, and reinforced concrete structures. His ability to conduct complex analyses is complemented by his expertise in numerical modeling, including the use of finite element methods for simulating structural and geotechnical behavior. Additionally, Dr. Zakaria has demonstrated skill in applying advanced technologies such as machine learning to predict structural performance, showcasing his adaptability and innovation in solving engineering problems. He is also adept at conducting comprehensive literature reviews, synthesizing technical data, and publishing findings in high-impact journals. His collaborative approach and strong communication skills enhance his ability to work across multidisciplinary teams. Overall, his research skillset makes him a valuable contributor to academic advancements and practical engineering solutions.

Conclusion💡

Dr. Mohamed H. Zakaria is a highly promising and dedicated researcher with a strong and focused track record in civil engineering. His steady academic career, continuous publication record, and exploration of advanced methods like machine learning and FE modeling in civil applications showcase technical excellence and innovative thinking.

Publications Top Noted✍️

  1. Title: Mitigating Settlement and Enhancing Bearing Capacity of Adjacent Strip Footings Using Sheet Pile Walls: An Experimental Approach
    Authors: Ali Basha, Ahmed Yousry Akal, Mohamed H. Zakaria
    Year: 2025
    Citation: Infrastructures, 2025, DOI: 10.3390/infrastructures10040083

  2. Title: A Comparative Study of Terrestrial Laser Scanning and Photogrammetry: Accuracy and Applications
    Authors: Mohamed H. Zakaria, Hossam Fawzy, Mohammed El-Beshbeshy, Magda Farhan
    Year: 2025
    Citation: Civil Engineering Journal, March 2025, DOI: 10.28991/cej-2025-011-03-021

  3. Title: Cantilever Piled-Wall Design Criteria in Cohesionless Soil: A Review
    Authors: Mohamed Hamed Zakaria, Ali Basha
    Year: 2024
    Citation: World Journal of Engineering, 2024, DOI: 10.1108/WJE-01-2024-0038

  4. Title: Prediction of RC T-Beams Shear Strength Based on Machine Learning
    Authors: Saad A. Yehia, Sabry Fayed, Mohamed H. Zakaria, Ramy I. Shahin
    Year: 2024
    Citation: International Journal of Concrete Structures and Materials, 2024, DOI: 10.1186/S40069-024-00690-Z

  5. Title: Effect of Insufficient Tension Lap Splices on the Deformability and Crack Resistance of Reinforced Concrete Beams: A Comparative Study Techniques and Experimental Study
    Authors: Roba Osman, Boshra El-taly, Ahmed Fahmy, Mohamed Zakaria
    Year: 2024
    Citation: Engineering Research Journal, Nov 2024, DOI: 10.21608/erjm.2024.296635.1337

  6. Title: Predicting the Maximum Axial Capacity of Secant Pile Walls Embedded in Sandy Soil
    Authors: Ali M. Basha, Mohamed H. Zakaria, Maher T. El-Nimr, Mohamed M. Abo-Raya
    Year: 2024
    Citation: Geotechnical and Geological Engineering, July 2024, DOI: 10.1007/s10706-023-02734-9

  7. Title: Two-Dimensional Numerical Approaches of Excavation Support Systems: A Comprehensive Review of Key Considerations and Modelling Techniques
    Authors: Mohamed Hamed Zakaria, Ali Basha
    Year: 2024
    Citation: Journal of Contemporary Technology and Applied Engineering, July 2024, DOI: 10.21608/jctae.2024.299692.1030

  8. Title: Interfacial Shear Behavior of Composite Concrete Substrate to High-Performance Concrete Overly After Exposure to Elevated Temperature
    Authors: Nagat M. Zalhaf, Sabry Fayed, Mohamed H. Zakaria
    Year: 2024
    Citation: International Journal of Concrete Structures and Materials, March 2024, DOI: 10.1186/s40069-023-00654-9

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

Wallelign Mulugeta Nebiyu | Engineering | Best Researcher Award

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Mr. Wallelign Mulugeta Nebiyu | Engineering | Best Researcher Award

Lecturer at Bahir Dar University, Ethiopia

Wallelign Mulugeta Nebiyu is a dedicated civil engineer, researcher, and lecturer at Bahir Dar University with expertise in sustainability, recycling, and construction technology. He holds a Master’s degree in Civil Engineering and has published research in reputable journals like Springer. His academic contributions include mentoring students, presenting at international conferences, and engaging in community service projects. Certified in BIM Architecture and Project Management, he possesses strong technical skills in engineering software. As a member of the Ethiopian Civil Engineering Association, he actively contributes to his field. However, his limited research publications, need for improved English proficiency, and lack of research funding present areas for growth. Strengthening his global collaborations, securing research grants, and increasing his publication volume would enhance his competitiveness. While he is a promising candidate for the Best Researcher Award, further research impact and interdisciplinary collaboration would solidify his position as a top contender.

Professional Profile 

Education🎓

Wallelign Mulugeta Nebiyu holds a Master of Science in Civil Engineering (Construction Technology and Management) from Bahir Dar University, where he also earned his Bachelor of Science in Civil Engineering. His academic journey is complemented by a Higher Diploma as a Certified Professional Teacher Educator, enhancing his teaching capabilities. He has further strengthened his expertise through specialized training in Building Information Modeling (BIM) Architecture and Project Management, both obtained from Bahir Dar University. Additionally, he has participated in an international training workshop on the Chinese construction industry at Zhejiang College of Construction and completed a Foundation of Project Management course from Florida University Southeast. His continuous pursuit of education and professional development underscores his commitment to innovation and excellence in civil engineering. These qualifications, along with his technical proficiency in engineering software, position him as a knowledgeable and skilled academic and researcher in construction technology and sustainable engineering practices.

Professional Experience 📝

Wallelign Mulugeta Nebiyu has extensive professional experience in academia and research. He is currently a lecturer at Bahir Dar University, where he teaches undergraduate students, co-advises master’s students, and engages in research and community service projects. Previously, he served as an assistant lecturer at the same university, contributing to curriculum development and student mentorship. His leadership skills are reflected in his role as Chair Holder for Construction Technology and Management. Beyond teaching, he has participated in community service initiatives, such as preparing a Bill of Quantities (BoQ) document for the Amhara regional environmental protection office. His expertise extends to project management, as evidenced by his certifications in BIM Architecture and Project Management. Additionally, he has presented research at international conferences and contributed to sustainability-focused studies. With a strong foundation in civil engineering and construction management, he continues to advance knowledge in the field through research, teaching, and professional collaborations.

Research Interest🔎

Wallelign Mulugeta Nebiyu’s research interests focus on sustainability, recycling, and advanced construction technologies. His work explores innovative solutions for sustainable infrastructure, particularly in the reuse of construction materials, green building practices, and the application of BIM technology in construction management. He has conducted studies on recycled aggregate concrete and the influence of steel slag as a partial replacement in reinforced concrete, contributing to the development of eco-friendly building materials. His passion for sustainability aligns with global efforts to reduce construction waste and improve material efficiency. Additionally, he is interested in digital transformation in construction, emphasizing the role of BIM in optimizing project management and execution. Through his research, he aims to enhance structural performance while promoting environmental responsibility. By expanding his interdisciplinary collaborations and securing research funding, he seeks to make a greater impact in the fields of construction technology, materials engineering, and sustainable development.

Award and Honor🏆

Wallelign Mulugeta Nebiyu has received recognition for his contributions to civil engineering and research. His most notable achievement includes publishing in reputable journals such as Springer, reflecting his commitment to advancing knowledge in construction technology and sustainability. Additionally, he has been entrusted with leadership roles, such as Chair Holder for Construction Technology and Management at Bahir Dar University, demonstrating his influence in academia. He has also been invited to present his research at international conferences, including the International Conference on Advances of Science and Technology, where he shared his findings on recycled aggregate concrete. His certifications in BIM Architecture and Project Management further highlight his dedication to professional development. While he has gained recognition within his academic and professional community, securing additional research grants, winning prestigious research awards, and expanding his international collaborations would further strengthen his profile. His growing impact in sustainable construction research positions him as a promising candidate for future accolades.

Research Skill🔬

Wallelign Mulugeta Nebiyu possesses strong research skills in civil engineering, particularly in sustainability, recycling, and construction technology. He has expertise in experimental research, data analysis, and the application of advanced construction materials, as demonstrated by his studies on recycled aggregate concrete and steel slag in reinforced concrete. His ability to conduct in-depth investigations and publish in reputable journals, such as Springer, showcases his proficiency in academic writing and scientific communication. Additionally, his experience in Building Information Modeling (BIM) enhances his capability to integrate digital technologies into construction research. He has presented his findings at international conferences, reflecting his ability to engage with the global research community. While he has a solid foundation in research methodologies, improving his English proficiency and securing external research funding could further strengthen his contributions. By expanding his interdisciplinary collaborations, he can enhance the impact of his work in sustainable construction and digital engineering.

Conclusion💡

Wallelign Mulugeta Nebiyu is a promising researcher with a strong foundation in civil engineering, sustainability, and construction technology. His contributions to teaching, research, and community service make him a good candidate for the Best Researcher Award. However, to enhance his competitiveness, he should focus on increasing his research output, securing research funding, improving English proficiency, and expanding interdisciplinary collaborations. If the award criteria prioritize research impact and publication volume, he may need more high-impact research contributions to be a strong contender.

Publications Top Noted✍️

  • Title: Influence of Steel Slag as a Partial Replacement of Aggregate on Performance of Reinforced Concrete Beam
    Authors: TB Mekonen, TE Alene, YA Alem, WM Nebiyu
    Year: 2024
    Citations: 2

  • Title: Experimental Study of Recycled Aggregate Concrete Produced from Recycled Fine Aggregate
    Authors: WM Nebiyu, DA Nuramo, AF Ketema
    Year: 2022
    Citations: 2

  • Title: Partial Replacement of Sand with Recycled Concrete Fine Aggregate and Steel Slag in Cement Mortar
    Authors: WT Tsega, MD Yehualaw, BW Yifru, WM Nebiyu, Muluken Zegeye Getie, Kibret Mequanint, Molla Asmare Alemu, Getinet Yenealem
    Year: (Not specified)
    Citations: (Not available)

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

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.

 

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

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