Mr. John de Britto Chinnappan | Computer Science | Editorial Board Member

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Mr. John de Britto Chinnappan | Computer Science | Editorial Board Member

Saveetha Engineering College| India

Dr. C. John De Britto is a dedicated researcher in Electrical and Electronics Engineering with a strong focus on power electronics, renewable energy systems, electric drives, optimization algorithms, and intelligent control strategies. His research work explores innovative solutions for improving power quality, enhancing the efficiency of renewable energy integration, and advancing smart energy systems. With contributions spanning image enhancement techniques, hybrid renewable systems, DC–DC converter architectures, electric vehicle impact mitigation, and intelligent control for photovoltaic systems, he brings a multidisciplinary approach bridging conventional power engineering with modern computational intelligence. His scholarly output includes 14 Scopus-indexed documents that have collectively received 40 citations with an h-index of 4 on Scopus. Additionally, his Google Scholar profile reflects 50 citations, an h-index of 4, and an i10-index of 1, highlighting the growing influence and visibility of his work. His publications demonstrate a strong commitment to developing sustainable engineering solutions, especially in areas such as quasi Z-source converters, hybrid renewable energy design, embedded platforms, fault recognition in industrial motors, and bio-inspired optimization for control systems. Dr. De Britto’s research impact is evident across peer-reviewed journals, international conferences, and interdisciplinary collaborations, with several studies addressing modern challenges such as electric vehicle charging impacts, microgrid performance, and automation for safety-critical applications. His continuous contributions to energy systems, computational approaches, and power conversion technologies position him as an emerging academic voice in renewable and intelligent power engineering research.

Profile

Scopus | ORCID | Google Scholar

Featured Publications

Venkatesh, S., De Britto, C. J., Subhashini, P., & Somasundaram, K. (2022). Image enhancement and implementation of CLAHE algorithm and bilinear interpolation. Cybernetics and Systems, 1–13.

Pradeep, M., Sathishkumar, S., & Subramanian, A. T. S. (2019). Recognition of fault and security of three phase induction motor by means of programmable logic controller. IOP Conference Series: Materials Science and Engineering, 623, 012017.

Yuvaraj, T., Prabaharan, N., De Britto, C. J., Thirumalai, M., Salem, M., & others. (2024). Dynamic optimization and placement of renewable generators and compensators to mitigate electric vehicle charging station impacts using the spotted hyena optimization algorithm. Sustainability, 16(19), 8458.

De Britto, C. J., Nagarajan, S., & Kumar, R. S. (2023). Effective design and implementation of hybrid renewable system using convex programming. International Journal of Green Energy, 20(13), 1473–1487.

De Britto, C. J., & Nagarajan, S. (2018). High performance quasi Z-source resonant converter with hybrid energy resources for rural electrification. International Journal of Engineering and Advanced Technology, 8(2C2), 132–135.

Dr. Yonglin Ren | Computer Science | Innovative Research Award

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Dr. Yonglin Ren | Computer Science | Innovative Research Award

Senior Project Engineer & Researcher | Concordia University | Canada

Dr. Yonglin Ren is a distinguished Senior Project Engineer and Researcher at Concordia University, recognized for his interdisciplinary expertise in mathematical modeling, logistics optimization, and sustainable engineering systems. His research bridges theoretical optimization frameworks and industrial applications, focusing on metaheuristic algorithms, CAD/CAE-based modeling, and supply chain design for humanitarian and sustainable logistics. Dr. Ren’s contributions have advanced methodologies for capacitated location allocation problems, high-speed rail freight transport, and dynamic mechanical system modeling. His work integrates computational intelligence with real-world challenges in water resource management, transportation networks, and crisis logistics, making a significant impact in both academia and industry. His publications are widely cited, reflecting his influence in the fields of operational research and applied optimization, with a Scopus record of 3 indexed documents, 6 citations, and an h-index of 1, alongside a Google Scholar citation count of 26. Dr. Ren has collaborated on multiple international engineering and research projects, driving innovations that contribute to sustainable development and global resource optimization.

Profile

Scopus

Featured Publications 

Ren, Y., & Awasthi, A. (2014). Investigating metaheuristics applications for capacitated location allocation problem on logistics networks. Chaos Modeling and Control Systems Design, 213–238.

Ren, Y., & Awasthi, A. (2012). Location allocation planning of logistics depots using genetic algorithm. Research in Logistics & Production, 2, 247–257.

Ren, Y. (2011). Metaheuristics for multiobjective capacitated location allocation on logistics networks. Concordia University.

Ren, Y., Hajiebrahimi, S., Azad, M., Awasthi, A., & Salah, S. (2020). Humanitarian aid for Wuhan with crisis logistics management approach. Proceedings of the International Conference on Industrial Engineering and Operations Management.

Ren, Y., & Awasthi, A. (2025). Logistics hub location for high-speed rail freight transport—Case Ottawa–Quebec City corridor. Logistics, 9(4), 158.

Dr. Abderraouf Gherissi | Technologies | Excellence in Innovation Award

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Dr. Abderraouf Gherissi | Technologies | Excellence in Innovation Award

Dr. Abderraouf Gherissi | Associate Professor | University of Tabuk | Saudi Arabia

Academic Background

Dr. Abderraouf Gherissi holds advanced qualifications in mechanical engineering, progressing through successive academic stages at leading institutions in Tunis. His doctoral research centered on the multiscale mechanical behavior of woven composites, laying the foundation for his specialization in engineering materials and advanced manufacturing. His scholarly influence is reflected in Scopus with more than one hundred citations across over one hundred documents and an h-index of six. On Google Scholar, his citations exceed one hundred with an h-index of six and an i10-index of three, showcasing consistent academic engagement and impact across his publication record.

Research Focus

His research activities revolve around composite materials, mechanical behavior modeling, renewable energy applications, and the engineering of wave and wind energy systems. He also explores advanced manufacturing and material performance through experimental and numerical approaches.

Work Experience

Over his career, he has served in academic and industrial capacities across multiple countries. He has taught a wide range of core and specialized mechanical engineering courses at both undergraduate and postgraduate levels, supervised numerous graduation projects, and contributed to program development and accreditation. His professional trajectory includes roles as associate professor, assistant professor, senior instructor, lecturer, and department head, along with industry leadership experience in maintenance and production. His involvement spans teaching, curriculum design, program assessment, supervision, and applied engineering projects in educational institutions and technical organizations.

Key Contributions

He has contributed to the progression of mechanical engineering education through curriculum innovation, accreditation leadership, mentorship, and collaboration on applied research initiatives. His funded research projects address renewable energy, composite structures, and mechanical system design. His work extends to computational simulation, structural analysis, and the development of energy-conversion technologies.

Awards and Recognition

He has received acknowledgments for excellence in project supervision, online teaching quality, and contributions to accreditation success at institutional and departmental levels.

Professional Roles and Memberships

He has been actively associated with research laboratories and academic committees in Saudi Arabia and Tunisia. His involvement includes roles in engineering accreditation processes with national and international bodies. He serves as a reviewer for high-index journals and participates in research groups focusing on materials science, product engineering, and energy systems.

Publication Profile:

Scopus

ORCID

Google Scholar

Featured Publications

Gherissi, A., ELnasri, I., Lakhouit, A., & Ali, M. (2025). Design and optimization of a wave-adaptive mechanical converter for renewable energy harvesting. Processes.

Ali, M., Gherissi, A., & Altaharwah, Y. (2023). Experimental and simulation study on a rooftop vertical-axis wind turbine. Open Engineering.

Malek Ali, M., Gherissi, A., & Al-Assaf, A. (2022). A review on the effects of ceramic sand particles on casting defects. Journal of Ceramic Processing Research.

Gherissi, A., Fadhil, M., Asiri, A., & Alhwiti, M. (2021). Wind turbine blades based on palm cellulose fiber composites. Journal of Silicate Based and Composite Materials.

Ali, M., & Gherissi, A. (2017). Synthesis and characterization of composite material with chitosan variations. International Journal of Mechanical and Mechatronics Engineering.

Impact Statement / Vision

His work advances the integration of composite materials and renewable energy technologies through research-driven engineering solutions. He seeks to bridge applied mechanics, sustainability, and innovation in manufacturing to support global energy and environmental goals. His vision aligns with developing efficient mechanical systems that contribute to future-ready engineering practices.

Dr. JOONSOO KIM | Digital Transformation | Best Researcher Award

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Dr. JOONSOO KIM | Digital Transformation | Best Researcher Award

Postdoctoral Researcher, Korea Institute of Construction Technology (KICT), South Korea.

Dr. Joon-Soo Kim is an innovative and skilled researcher in Construction Management, with a strong command of advanced data analytics, machine learning, and environmental sustainability. His academic and research work uniquely integrates engineering with cutting-edge technologies such as text mining and big data to enhance construction safety and efficiency. Currently serving as a Postdoctoral Researcher at the Korea Institute of Civil Engineering and Building Technology (KICT), Dr. Kim is highly regarded for developing reliable decision-making models tailored to complex engineering challenges. His expertise spans from eco-friendly engineering solutions to smart waste management systems, making him a vital contributor to sustainable civil engineering research. 🏗️📊🌿

Publication Profile

Scopus

🎓 Education Background

Dr. Kim earned his Ph.D. in Construction Environment and Energy Engineering from Kyungpook National University, where his dissertation explored road construction environmental load and cost estimation using machine learning. He also holds a Master’s in Construction Systems Engineering with a specialization in Geotechnical and Road Engineering, and a Bachelor’s degree in Civil Engineering—all from the same university. His academic path reflects a strong commitment to applying data-driven insights to real-world infrastructure problems. 🎓📚

💼 Professional Experience

Dr. Kim is currently a Postdoctoral Researcher at KICT, contributing to advancements in civil infrastructure and environmental solutions. Prior to this, he worked at the Intelligent Construction Automation Research Center, Kyungpook National University, for over three years. He also shared his expertise as a lecturer at Daegu University, teaching courses such as Basic Statistics and Construction Management. His combined academic and field experience empowers him to lead high-impact research in civil engineering. 🏢👨‍🏫

🏅 Awards and Honors

Dr. Kim holds registered intellectual property rights, including a software-based Construction Waste Information Management (CWIM) system using QR codes (2023), and a patented Eco-Friendly Value Engineering Decision Analysis System (Patent No. 10-1745567, registered in 2017). These innovations underscore his commitment to enhancing efficiency and sustainability in construction engineering through smart technologies. 🏆📜💡

🔍 Research Focus

Dr. Kim’s primary research areas include construction safety, environmental load management, and project efficiency, with a strong focus on big data, machine learning, and geospatial analysis. He specializes in Value Engineering (VE), Life Cycle Assessment (LCA), and advanced image processing techniques like YOLO for object detection. His multidisciplinary approach supports disaster prevention and promotes green building practices. 🔎🌱📈

📘 Conclusion

Combining strong academic foundations with hands-on innovation, Dr. Joon-Soo Kim continues to make significant strides in the civil and construction engineering fields. His work not only enhances safety and environmental responsibility but also sets a benchmark in leveraging AI-driven methodologies for engineering problem-solving. 👏🌐🚧

📚 Top Publications with 

  1. Image Processing and QR Code Application Method for Construction Safety Management
    Kim, J.-S., Yi, C.-Y., & Park, Y.-J., 2021, Applied Sciences
    📑 Cited by: 18 articles (as per Google Scholar)

  2. Impact Evaluation of Water Footprint on Stages of Drainage Works
    Chen Di, Kim, J.-S., Batagalle V., & Kim, B.-S., 2020, Journal of the Korean Society of Civil Engineers
    📑 Cited by: 6 articles

  3. Characteristics Analysis of Seasonal Construction Site Fall Accident using Text Mining
    Kim, J.-S., & Kim, B.-S., 2019, Journal of the Korea Institute of Construction Engineering and Management
    📑 Cited by: 11 articles

  4. Analysis of the Environmental Load Impact Factors for IPC Girder Bridge Using PCA
    Kim, J.-S., Jeon, J.-G., & Kim, B.-S., 2018, Journal of the Korea Institute of Construction Engineering and Management
    📑 Cited by: 9 articles

  5. Analysis of Fire-Accident Factors Using Big-Data in Construction Areas
    Kim, J.-S., & Kim, B.-S., 2017, KSCE Journal of Civil Engineering
    📑 Cited by: 34 articles

  6. Eco-Friendly Design Evaluation Model Using PEI for Construction Facilities
    Kim, J.-S., & Kim, B.-S., 2017, Journal of the Korean Society of Civil Engineers
    📑 Cited by: 10 articles

  7. Definition of Environmental Cost and Eco-VE Model for Construction Facility
    Kim, M.-J., Kim, J.-S., & Kim, B.-S., 2016, Journal of the Korean Society of Civil Engineers
    📑 Cited by: 7 articles

  8. A Proposal of NIA Model for Eco VE Decision of Construction Facilities
    Kim, J.-S., & Kim, B.-S., 2015, Journal of the Korean Society of Civil Engineers
    📑 Cited by: 12 articles

 

Dr. José Carlos López Figueroa | Digital Leadership | Best Researcher Award

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Dr. José Carlos López Figueroa | Digital Leadership | Best Researcher Award

Teacher, Sonora Institute of Technology, Mexico

Dr. José Carlos López Figueroa is a distinguished academic and researcher in the field of management and organizational studies. Currently serving as a Professor and Coordinator of the Master’s Program in e-Business at the Sonora Institute of Technology, he has made significant contributions to digital leadership, governance, and institutional research. With a Ph.D. in Organizational Studies from the Universidad Autónoma Metropolitana (UAM), he has been recognized with the prestigious third place in the National Award for Doctoral Theses. As an active researcher, he is a Level Candidate Member of the National System of Researchers (SNII-México) and has published extensively in high-quality indexed journals. His collaborations with national and international networks, including REMINEO and Huika Mexihco, further solidify his impact on the academic and business communities.

Publication Profile

🎓 Academic Background

Dr. López Figueroa earned his Ph.D. in Organizational Studies from the Universidad Autónoma Metropolitana (UAM), demonstrating his strong foundation in research and management sciences. His doctoral work was highly acclaimed, securing third place in the National Award for Doctoral Theses. His research expertise spans across leadership, governance, institutions, and digital transformation in SMEs. He has authored numerous research articles and book chapters, contributing significantly to the understanding of managerial and organizational dynamics in various sectors.

💼 Professional Experience

With a profound academic career, Dr. López Figueroa has actively engaged in both teaching and research. As the coordinator of the Master’s Program in e-Business at the Sonora Institute of Technology, he has played a crucial role in shaping future professionals in digital business strategies. His expertise in managerial skills, entrepreneurship, public policy, and marketing strategies has been instrumental in guiding various research projects. He has successfully coordinated studies like “Managerial Management Practices as a Key Factor for the Development of Competitive Advantage in SMEs in Southern Sonora” and “Digital Leadership Skills in SMEs,” producing impactful research outputs, including indexed articles and theses. Additionally, he has contributed as a principal investigator and collaborator in 12 externally funded research projects.

🏆 Awards and Honors

Dr. López Figueroa has been recognized for his scholarly excellence with multiple accolades. His Ph.D. dissertation received third place in the National Award for Doctoral Theses, showcasing the significance of his research. He is a Level Candidate Member of the National System of Researchers (SNII-México), reflecting his growing influence in academic research. Beyond awards, he holds key editorial positions, including serving as General Coordinator and Member of the Academic Committee for the National Congress on Organizational Studies. His contributions to the field have also been acknowledged through invitations as a volunteer reviewer for prestigious indexed journals.

🔬 Research Focus

Dr. López Figueroa’s research interests center around leadership, governance, territory, and institutional studies, with a particular emphasis on digital transformation in SMEs. His work explores how managerial and organizational practices influence competitive advantage in businesses. Through his extensive involvement in research projects, he has analyzed key areas such as digital leadership, organizational culture, entrepreneurship, and institutional logics applied to various economic sectors. His research integrates methodologies like survey-based analysis, statistical modeling, and systematic reviews, ensuring a robust and data-driven approach. His findings have been widely disseminated through journal publications, book chapters, conferences, and podcasts, reinforcing his thought leadership in organizational studies.

🔍 Conclusion

Dr. José Carlos López Figueroa is a pioneering researcher and educator dedicated to advancing knowledge in digital leadership and organizational studies. His impactful research, collaborative projects, and commitment to student mentorship have positioned him as an influential figure in academia. His ability to bridge theoretical research with practical business applications has made significant contributions to SMEs and institutional governance. Through his collaborations with REMINEO, Huika Mexihco, and international institutions, he continues to shape the future of management and digital transformation. His scholarly excellence, extensive publications, and research-driven initiatives make him a strong candidate for the Best Researcher Award.

📚 Top Publications 

La organización digital: comprensión de un campo y tendencias de estudio (2024)

Territorio y organizaciones: un análisis bibliométrico en Web of Science (2024)

Digital Leadership Skills for SMEs in Northwest Mexico (2023)

Governance and Institutions in Organizational Studies (2023)

Managerial Management Practices and Competitive Advantage in SMEs (2022)

Nasser Mozayani | software | Best Researcher Award

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Dr. Nasser Mozayani | software | Best Researcher Award

Associate Professor, Iran University of Science and technology, Iran

🎓 Dr. Nasser Mozayani is an Associate Professor at the School of Computer Engineering at Iran University of Science and Technology (IUST) in Tehran, Iran. With a distinguished career in computer engineering, he has contributed significantly to research, teaching, and administration in his field. Dr. Mozayani specializes in machine learning, multi-agent systems, and the metaverse, bringing innovative insights into these cutting-edge areas. He has held several prominent positions at IUST, including Dean of the Computer Engineering Department, and has been actively involved in national research and technological projects.

Publication Profile

ORCID

Education

📘 Dr. Mozayani completed his Ph.D. in Informatics at the University of Rennes I in France (1998), where he conducted groundbreaking research on spatio-temporal coding in neural networks. His educational journey also includes an M.Sc. in Telematics & Information Systems from SUPELEC, France (1994), and a B.Sc. in Electrical Engineering (Computer Hardware) from Sharif University of Technology in Tehran, Iran (1990).

Experience

👨‍🏫 Dr. Mozayani has been an Associate Professor at IUST since 1999, teaching undergraduate courses in electronic and electric circuits, and advanced graduate courses in fields like artificial neural networks, digital circuits synthesis, and distributed AI. He has also held visiting professor roles at Allameh Tabatabaee University and Tarbiat Modarres University, where he specialized in educational games and simulations for doctoral students. In administrative capacities, he has led multiple departments and centers at IUST, contributing to the growth of e-learning and technology innovation.

Research Focus

🔬 Dr. Mozayani’s research is centered on machine learning, multi-agent systems, and smart grid applications. He has led numerous projects on smart grid communication protocols, reinforcement learning, and the application of AI in predictive modeling and decision-making for health and energy sectors. His innovative work in hierarchical reinforcement learning has advanced the integration of machine learning in smart grid management and infrastructure.

Awards and Honors

🏆 Dr. Mozayani has supervised the IUST RoboCup team, which achieved notable successes, including a first-place win in the Rescue Virtual Robots competition at the Khwarizmi Young Award (2010) and a top-four ranking in the World RoboCup 2D football simulation (2013). He has also mentored award-winning student projects in digital library development, recognized by the Khwarizmi Young Award.

Publications – Top Notes

“Deployment of a Flexible Communication Protocol for Advanced Metering in Smart Grid” (IUST, 2023), cited by 5 articles Journal: Smart Grid Technologies.

“Algorithmic Trading on Financial Time Series Using Deep Reinforcement Learning” (IUST, 2022), cited by 10 articles Journal: Financial Technology & AI.

“Using Machine Learning Methods to Determine Factors Affecting COVID-19 Mortality Rates” (IUST, 2021), cited by 8 articles Journal: Health Informatics.