Vajeer Baba Shaik | Engineering | Best Researcher Award  

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Mr. Vajeer Baba Shaik | Engineering | Best Researcher Award

Research Scholar from Dr. B R Ambedkar National Institute of Technology, India

Shaik Vajeer Baba is a promising researcher and academic currently pursuing his PhD in Mechanical Engineering with a focus on thermal polygeneration systems at Dr. B.R. Ambedkar National Institute of Technology, Jalandhar. He has a solid academic background, having completed his M.Tech in Thermal Engineering with a CGPA of 8.49 and a Bachelor’s degree in Mechanical Engineering. Baba is also active in various professional and academic roles, including as an Assistant Professor at Lingayas Vidyapeeth, where he contributes to teaching and research. His research is centered around energy-efficient systems, desalination technologies, and heat exchanger design. With a strong publication record and patents in energy and manufacturing, he shows great promise in his field. Baba’s work blends theoretical research with practical industrial applications, providing valuable insights into sustainability and energy optimization.

Professional Profile

Education

Shaik Vajeer Baba is currently pursuing a PhD in Mechanical Engineering at Dr. B.R. Ambedkar National Institute of Technology, Jalandhar, with a focus on thermal polygeneration systems. His academic journey began with a Bachelor’s degree in Mechanical Engineering from Dhanekula Institute of Engineering and Technology, where he graduated with a 73.04% score. Baba later completed his M.Tech in Thermal Engineering from Koneru Lakshmaiah Education Foundation (KL University) with an impressive CGPA of 8.49. His academic achievements reflect a strong foundation in mechanical and thermal engineering, and he continues to build on this expertise in his ongoing PhD research, which explores energy-efficient technologies in the field of thermal engineering.

Professional Experience

Shaik Vajeer Baba has accumulated valuable experience in both teaching and industry over the years. He currently serves as an Assistant Professor at Lingayas Vidyapeeth, where he has been contributing to the academic environment since January 2025. Prior to this, Baba held teaching positions at V.K.R.V.N.B & A.G.K. College of Engineering, Gudivada, and Anand College of Engineering and Management, Kapurthala. In addition to his teaching roles, he worked as a Junior Research Fellow (JRF) at Dr. B.R. Ambedkar National Institute of Technology, Jalandhar, where he worked on projects related to thermal engineering and energy systems. Baba’s industrial experience includes working as a machine operator at Better Castings, Vijayawada, providing him with practical exposure to manufacturing processes.

Research Interest

Shaik Vajeer Baba’s research interests are primarily focused on thermal engineering, specifically in the areas of polygeneration, heat exchanger design, HDH desalination, and system optimization. His PhD research is centered on thermal polygeneration systems, which combine multiple energy production processes for enhanced efficiency. Baba has explored heat exchanger design in various energy systems, aiming to improve heat transfer efficiency. His work also includes the development of desalination technologies, particularly focused on the HDH process, and integrating energy-efficient systems for sustainable energy solutions. These research areas have both academic and industrial relevance, aiming to tackle current energy challenges while promoting sustainability.

Research Skills

Shaik Vajeer Baba possesses a strong set of research skills, including expertise in heat exchanger design, energy system optimization, and the development of sustainable energy technologies. He is proficient in simulation and modeling software such as MATLAB and ANSYS, which he uses to analyze and optimize thermal systems. Baba’s ability to conduct both experimental and theoretical research allows him to generate valuable insights into energy-efficient technologies. His knowledge in product development is reflected in his work on thermal systems, HDH desalination, and heat pump systems. Moreover, his research has resulted in several published papers and patents, demonstrating his ability to contribute to scientific advancements in his field.

Awards and Honors

Shaik Vajeer Baba has received recognition for his innovative contributions to the field of thermal engineering. His work has resulted in several publications in reputed journals and conferences, including SCI and ESCI indexed papers. Baba has also applied for patents in areas like artificial intelligence in manufacturing and thermoelectric generators, showcasing his innovative thinking. Additionally, he has attended numerous Faculty Development Programs (FDPs) and workshops, which reflect his commitment to staying updated with the latest advancements in his field. Baba’s active involvement in academic activities, such as being the IQAC coordinator and R&D member at his institution, highlights his dedication to both research and educational development.

Conclusion

Shaik Vajeer Baba is an emerging scholar in the field of thermal engineering with a promising research trajectory. His academic background, strong publication record, and patents in the areas of energy systems and sustainable technologies demonstrate his dedication and potential as a researcher. Baba’s focus on energy efficiency and optimization aligns well with current global challenges in sustainable energy solutions. His work, which bridges both theoretical research and industrial applications, positions him as a valuable contributor to the field. With continued growth in collaborations, research output, and global recognition, Baba is well on his way to becoming a leading researcher in his area of expertise.

Publications Top Notes

  1. Title: Performance analysis of heat pump polygeneration system
    Authors: Shaik, Vajeer Baba; Srinivas, T.; Kukreja, Rajeev
    Journal: Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering
    Year: 2024

Geraldine Merle | Chemical Engineering | Best Researcher Award

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Prof. Geraldine Merle | Chemical Engineering | Best Researcher Award

Professor from Polytechnique Montreal, Canada

Dr. Geraldine Merle is a distinguished researcher and academic with extensive expertise in her field. Over the years, she has contributed significantly to advancing knowledge through groundbreaking research, innovative methodologies, and dedicated teaching. She has worked in prestigious institutions and collaborated with various researchers to develop impactful solutions. Her research spans multiple disciplines, demonstrating her ability to integrate interdisciplinary approaches to address complex challenges. Dr. Merle is known for her strong leadership, mentorship, and commitment to academic excellence. Through her publications, lectures, and research projects, she continues to influence her field and inspire future scholars. She has received numerous accolades for her work and remains dedicated to pushing the boundaries of scientific discovery.

Professional Profile

Education

Dr. Geraldine Merle holds an impressive academic background, earning degrees from top-tier universities. She completed her undergraduate studies with outstanding performance, followed by a master’s degree where she specialized in advanced research methodologies. Her doctoral studies focused on a groundbreaking topic that contributed to the academic community. She has also pursued postdoctoral research at leading institutions, refining her expertise in specialized areas. Additionally, she has participated in various professional development programs and workshops to stay updated with the latest advancements in her field. Her academic journey showcases her dedication to lifelong learning and scholarly excellence.

Professional Experience

With a wealth of experience in academia and industry, Dr. Geraldine Merle has held several influential positions. She has served as a professor, researcher, and consultant in various esteemed organizations. Her teaching experience includes mentoring undergraduate and graduate students, developing curricula, and leading research projects. In addition, she has worked with government and private institutions on collaborative research initiatives aimed at solving real-world problems. Her contributions extend to editorial boards, advisory committees, and conference panels, highlighting her active role in shaping the future of her discipline. Her professional journey reflects a balance between research, teaching, and leadership.

Research Interests

Dr. Geraldine Merle’s research interests encompass a wide range of topics within her field. She is particularly passionate about exploring emerging trends, developing innovative solutions, and applying interdisciplinary approaches to problem-solving. Her work has addressed pressing societal issues, leveraging data-driven methods and cutting-edge technologies. Additionally, she is interested in policy implications, ethics, and the societal impact of research. She collaborates with scholars from different backgrounds to enhance the depth and breadth of her studies. Her research interests continue to evolve, reflecting her adaptability and curiosity in an ever-changing academic landscape.

Research Skills

Dr. Geraldine Merle possesses a robust set of research skills that make her a leader in her field. She is proficient in data analysis, experimental design, and qualitative and quantitative research methodologies. Her expertise extends to statistical modeling, software applications, and advanced laboratory techniques. She has a strong ability to synthesize complex information, write compelling research papers, and present findings at conferences. Additionally, she has experience securing research grants and managing large-scale projects. Her collaborative approach and problem-solving skills have contributed to numerous successful research endeavors. These skills have been instrumental in her contributions to academia and industry.

Awards and Honors

Dr. Geraldine Merle has received numerous awards and honors in recognition of her contributions to research and academia. Her accolades include prestigious research fellowships, best paper awards, and distinguished teaching recognitions. She has been invited as a keynote speaker at international conferences, further solidifying her reputation as an expert in her field. Her work has been acknowledged by professional organizations and funding agencies, reflecting her influence and impact. Additionally, she has received grants and scholarships that have enabled her to pursue high-impact research. Her dedication and achievements continue to inspire students, colleagues, and aspiring researchers.

Conclusion

Dr. Geraldine Merle’s career is a testament to her dedication, innovation, and passion for research and education. With a strong academic foundation, extensive professional experience, and a commitment to knowledge advancement, she has made significant contributions to her field. Her research interests and skills demonstrate her ability to address complex challenges and provide valuable insights. The numerous awards and honors she has received highlight the impact of her work. As she continues her journey, she remains committed to fostering intellectual growth, mentoring future scholars, and shaping the future of research. Dr. Merle’s contributions leave a lasting legacy in academia and beyond.

Publications Top Notes

  1. Anion exchange membranes for alkaline fuel cells: A review

    • Authors: G Merle, M Wessling, K Nijmeijer

    • Year: 2011

    • Citations: 2057

  2. New cross-linked PVA based polymer electrolyte membranes for alkaline fuel cells

    • Authors: G Merle, SS Hosseiny, M Wessling, K Nijmeijer

    • Year: 2012

    • Citations: 159

  3. Ionic liquid doped polybenzimidazole membranes for high temperature Proton Exchange Membrane fuel cell applications

    • Authors: E van de Ven, A Chairuna, G Merle, SP Benito, Z Borneman, K Nijmeijer

    • Year: 2013

    • Citations: 157

  4. In vitro degradation and in vivo resorption of dicalcium phosphate cement based grafts

    • Authors: Z Sheikh, YL Zhang, L Grover, GE Merle, F Tamimi, J Barralet

    • Year: 2015

    • Citations: 122

  5. Concentric glucose/O2 biofuel cell

    • Authors: A Habrioux, G Merle, K Servat, KB Kokoh, C Innocent, M Cretin, S Tingry

    • Year: 2008

    • Citations: 98

  6. Top-down bottom-up graphene synthesis

    • Authors: Z Zhang, A Fraser, S Ye, G Merle, J Barralet

    • Year: 2019

    • Citations: 82

  7. Hydrocaffeic acid–chitosan nanoparticles with enhanced stability, mucoadhesion and permeation properties

    • Authors: GM Soliman, YL Zhang, G Merle, M Cerruti, J Barralet

    • Year: 2014

    • Citations: 81

  8. Simulation of a full fuel cell membrane electrode assembly using pore network modeling

    • Authors: M Aghighi, MA Hoeh, W Lehnert, G Merle, J Gostick

    • Year: 2016

    • Citations: 71

  9. Exploring the impact of electrode microstructure on redox flow battery performance using a multiphysics pore network model

    • Authors: MA Sadeghi, M Aganou, M Kok, M Aghighi, G Merle, J Barralet, J Gostick

    • Year: 2019

    • Citations: 69

 

Sandeep Belidhe | Engineering | Best Innovation Award

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Mr. Sandeep Belidhe | Engineering | Best Innovation Award

DevSecOps Engineer at Sparksoft Corp, United States

Sandeep Belidhe is a highly experienced IT professional with over 10.5 years of expertise in DevSecOps, DevOps Cloud Engineering, Release Engineering, and Middleware Administration. His career has been dedicated to integrating AI, machine learning (ML), and security automation within cloud environments to enhance operational efficiency and risk mitigation. Through his extensive research and development, he has significantly contributed to AI-driven DevSecOps, leading to multiple scholarly publications, two patents, and an authored book on AI/ML. His research has focused on bridging the gap between artificial intelligence, deep learning, and IT automation, revolutionizing the way security and efficiency are managed in cloud computing. By successfully deploying intelligent, scalable, and secure IT solutions, he has influenced industry best practices and innovation. Additionally, his role as a mentor and thought leader has allowed him to guide professionals in adopting cutting-edge AI solutions in DevOps. With a track record of innovation, leadership, and technical excellence, Sandeep continues to push the boundaries of AI-driven IT automation and security. His contributions make him a strong candidate for recognition as a top researcher in the field, further solidifying his impact on DevSecOps and AI integration in cloud computing.

Professional Profile

Education

Sandeep Belidhe has built a strong academic foundation in computer science, artificial intelligence, and cloud security, enabling him to contribute extensively to AI-integrated DevSecOps solutions. His educational journey has equipped him with advanced knowledge in software development, deep learning, cybersecurity, and automation, shaping his research and professional expertise. He holds a Bachelor’s Degree in Computer Science & Engineering, which provided him with essential skills in programming, system architecture, and IT infrastructure management. To further enhance his expertise, he pursued a Master’s Degree in Artificial Intelligence & Machine Learning, focusing on deep learning, neural networks, and AI-driven security frameworks. In addition to his formal education, he has acquired multiple industry-recognized certifications in DevSecOps, Cloud Computing, AI/ML, and Security, keeping him at the forefront of technological advancements. His continuous learning approach ensures that he stays updated with emerging trends and best practices, further enhancing his ability to drive research and innovation in AI-powered DevOps security.

Professional Experience

Sandeep Belidhe has amassed over a decade of experience in DevSecOps, Cloud Engineering, AI/ML, and Middleware Administration, working with leading technology firms and research institutions. His expertise in security automation, AI-driven DevOps, and scalable cloud architectures has allowed him to deliver innovative and high-impact IT solutions. Throughout his career, he has held various key positions, including DevSecOps Engineer, AI & ML Researcher, Middleware & Release Engineer, and Patent Innovator. As a DevSecOps and Cloud Engineer, he has played a critical role in ensuring secure, automated, and scalable IT environments. His work in AI and ML research has led to the development of intelligent security automation frameworks, contributing significantly to the field. He has also been instrumental in optimizing middleware solutions, release management, and application security, ensuring seamless CI/CD integration and operational efficiency. His pioneering research, combined with real-world applications, positions him as a leading expert in AI-driven DevSecOps, making substantial contributions to cloud security, automation, and IT infrastructure advancements.

Research Interest

Sandeep Belidhe’s research focuses on AI-driven automation, security, and scalability in cloud computing and DevSecOps. His primary goal is to develop intelligent and adaptive security solutions that enhance cloud infrastructure protection, automation, and operational efficiency. His key research areas include AI-driven DevOps security, where he integrates machine learning algorithms to predict security threats, automate compliance checks, and optimize CI/CD workflows. He is also deeply involved in deep learning and neural network applications, exploring their role in enhancing IT performance monitoring, cybersecurity, and anomaly detection. Additionally, he specializes in cloud engineering and automation, developing strategies for securing cloud-based infrastructures through AI-powered insights. His research has led to published papers, patents, and contributions to industry best practices, reinforcing his position as an innovative thought leader in AI-driven IT automation and security.

Research Skills

Sandeep Belidhe possesses a diverse set of technical and analytical skills that enable him to conduct cutting-edge research in AI, DevSecOps, and cloud security. His expertise includes AI and ML algorithm development, where he applies deep learning techniques to cybersecurity challenges, improving threat detection and automated security solutions. His knowledge in cloud security and DevSecOps allows him to build scalable and automated security infrastructures, integrating AI-driven analytics for proactive threat management. He has also mastered big data analytics and predictive security, leveraging data-driven insights to enhance IT automation and risk mitigation. Additionally, he excels in software development, middleware engineering, and automation scripting, providing the technical foundation for deploying high-performance, secure, and efficient systems. His ability to translate research into real-world applications makes him an industry leader in AI-powered DevSecOps innovations.

Awards and Honors

Sandeep Belidhe has been recognized for his groundbreaking contributions to AI, ML, DevSecOps, and cloud security, earning prestigious awards, patents, and professional honors. His ability to innovate and push the boundaries of AI-driven automation and security has positioned him as a leading researcher and industry expert. One of his most significant achievements is holding two patents in AI-integrated security solutions, which highlight his pioneering work in intelligent automation frameworks. Additionally, he has been awarded for research excellence, receiving Best Research Paper Awards for his contributions to AI-driven DevOps security. As an author, he has published a comprehensive book on AI/ML, serving as a valuable educational resource for researchers, professionals, and students. His industry certifications and recognitions further emphasize his expertise and commitment to advancing AI and DevSecOps research.

Conclusion

Sandeep Belidhe is a distinguished researcher and IT professional, with a strong background in AI, ML, DevSecOps, and cloud security. His 10.5 years of experience, combined with his patents, scholarly publications, and industry contributions, make him a key innovator in AI-driven IT automation. His commitment to research, innovation, and knowledge sharing has not only led to high-impact technological advancements but has also influenced industry best practices. By continuously mentoring professionals, collaborating with research institutions, and developing AI-powered security solutions, he has played a transformative role in DevSecOps and cloud computing. Sandeep’s ability to integrate AI-driven automation with security frameworks sets him apart as a leader in the IT industry. His dedication to continuous learning, technical excellence, and real-world applications makes him a strong candidate for recognition as a top researcher in AI-integrated DevSecOps and cloud security.

Publications Top Notes

  1. Title: Deep Fake Detection with Hybrid Activation Function Enabled Adaptive Milvus Optimization-Based Deep Convolutional Neural Network
    Authors: H. Mashetty, N. Erukulla, S. Belidhe, N. Jella, V. Reddy Pishati, B.K. Enesheti
    Year: 2025

  2. Title: Explainable AI and Deep Neural Networks for Continuous PCI DSS Compliance Monitoring
    Authors: S.K.D. Sandeep Belidhe, Phani Monogya Katikireddi
    Year: 2024

  3. Title: Applying Deep Q-Learning for Optimized Resource Management in Secure Multi-Cloud DevOps
    Authors: S. Belidhe
    Year: 2022

  4. Title: AI-Driven Governance for DevOps Compliance
    Authors: S. Belidhe
    Year: 2022

  5. Title: Transparent Compliance Management in DevOps Using Explainable AI for Risk Assessment
    Authors: S. Belidhe
    Year: 2022

  6. Title: Using Deep Reinforcement Learning to Defend Conversational AI Against Adversarial Threats
    Authors: S.K.D. Phani Monogya Katikireddi, Sandeep Belidhe
    Year: 2021

  7. Title: Machine Learning Approaches for Optimal Resource Allocation in Kubernetes Environments
    Authors: S.B. Sandeep Kumar Dasa, Phani Monogya Katikireddi
    Year: 2021

  8. Title: Intelligent Cybersecurity: Enhancing Threat Detection through Hybrid Anomaly Detection Techniques
    Authors: S.B. Phani Monogya Katikireddi, Sandeep Kumar Dasa
    Year: 2021

  9. Title: Optimizing Object Detection in Dynamic Environments with Low-Visibility Conditions
    Authors: S. Belidhe, S.K. Dasa, S. Jaini

Kuo Liu | Engineering | Best Researcher Award

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Prof. Kuo Liu | Engineering | Best Researcher Award

Deputy director at Dalian University of Technology, China

Liu Kuo is a distinguished professor and doctoral supervisor at the School of Mechanical Engineering, Dalian University of Technology. He serves as the deputy director of the Intelligent Manufacturing Longcheng Laboratory and has been recognized as a young top talent in China’s “Ten Thousand People Plan.” He has also been honored under the Liaoning Province “Xingliao Talent Plan” and is regarded as a high-end talent in Dalian City. In addition to his academic and administrative roles, Liu Kuo holds significant positions in national standardization committees. He is a member of the National Industrial Machinery Electrical System Standardization Technical Committee (TC231) and the National Metal Cutting Machine Tool Standard Committee Five-Axis Machine Tool Evaluation Standards Working Group (TC22/WG3). Furthermore, he serves as a review expert for the Chinese Mechanical Engineering Society on “Machine Tool Equipment Manufacturing Maturity.” His expertise spans precision maintenance theory, real-time thermal error compensation, intelligent monitoring technology, and performance optimization for CNC machine tools. With extensive contributions to research, Liu Kuo has led over 20 major scientific projects and has published more than 80 high-impact papers. His work has resulted in numerous patents and software copyrights, reinforcing his status as a leading researcher in intelligent manufacturing and CNC technology.

Professional Profile

Education

Liu Kuo has pursued an extensive academic journey in mechanical engineering, culminating in his current role as a professor at Dalian University of Technology. He obtained his bachelor’s, master’s, and doctoral degrees in Mechanical Engineering from prestigious institutions in China. His academic training provided a strong foundation in advanced manufacturing, precision engineering, and intelligent monitoring systems. Throughout his education, Liu Kuo specialized in CNC machine tools, focusing on precision maintenance theory and real-time error compensation. His doctoral research was instrumental in developing innovative methodologies for optimizing machine tool performance. As a committed scholar, he actively engaged in interdisciplinary studies, integrating mechanical design, automation, and artificial intelligence into manufacturing processes. His education was complemented by extensive hands-on research, allowing him to develop groundbreaking solutions for intelligent manufacturing. Additionally, Liu Kuo has participated in international academic exchange programs, collaborating with leading universities and research institutions worldwide. His strong educational background has been pivotal in shaping his contributions to CNC technology and intelligent manufacturing. Through his academic journey, he has mentored numerous graduate students, fostering the next generation of researchers in mechanical engineering. His commitment to education continues to inspire innovation in the field of precision manufacturing and intelligent machine tool systems.

Professional Experience

Liu Kuo has built an illustrious career in mechanical engineering, particularly in CNC machine tool research and intelligent manufacturing. Currently a professor and doctoral supervisor at the School of Mechanical Engineering at Dalian University of Technology, he also serves as the deputy director of the Intelligent Manufacturing Longcheng Laboratory. His expertise has led him to significant roles in national standardization efforts, including membership in the National Industrial Machinery Electrical System Standardization Technical Committee (TC231) and the National Metal Cutting Machine Tool Standard Committee Five-Axis Machine Tool Evaluation Standards Working Group (TC22/WG3). He has been instrumental in defining industry standards and improving machine tool manufacturing processes. Over the years, Liu Kuo has led numerous high-impact research projects, including those funded by the National Natural Science Foundation and the national key research and development plans. His work extends beyond academia, as he collaborates with industrial leaders to implement intelligent monitoring and real-time thermal error compensation solutions in CNC machines. His professional contributions have significantly advanced China’s intelligent manufacturing capabilities, positioning him as a thought leader in the field. With a career spanning research, teaching, and policy-making, Liu Kuo continues to influence the evolution of modern manufacturing technologies.

Research Interests

Liu Kuo’s research interests are centered on advancing intelligent manufacturing and optimizing CNC machine tool performance. His primary focus areas include precision maintenance theory and technology for CNC machine tools, real-time thermal error compensation, intelligent monitoring technology, and performance testing and optimization. His research aims to improve the reliability, efficiency, and accuracy of CNC machines by integrating artificial intelligence and real-time diagnostics into the manufacturing process. One of his notable contributions is the development of intelligent monitoring systems that enable predictive maintenance and automated fault detection in machine tools. He has led multiple high-profile research projects, including key initiatives under the National Natural Science Foundation and national key research and development programs. His work not only advances academic knowledge but also has practical implications for industrial applications, leading to improved productivity and cost savings in manufacturing. Additionally, Liu Kuo’s interdisciplinary approach involves integrating computational modeling, sensor technology, and data-driven analytics to enhance CNC machine efficiency. His research has gained international recognition, contributing significantly to the evolution of smart manufacturing systems. By continuously pushing the boundaries of CNC technology, he is helping to shape the future of intelligent and precision-driven manufacturing industries.

Research Skills

Liu Kuo possesses a diverse set of research skills that have contributed to significant advancements in CNC machine tools and intelligent manufacturing. His expertise includes precision maintenance theory, real-time thermal error compensation, intelligent monitoring, and machine tool performance optimization. He is adept at integrating artificial intelligence with manufacturing processes, enhancing the efficiency and reliability of CNC systems. His research methodologies involve computational modeling, sensor-based diagnostics, and machine learning applications in predictive maintenance. Over the years, Liu Kuo has led more than 20 major research projects funded by prestigious organizations, demonstrating his strong project management and problem-solving skills. He has successfully authored over 80 SCI/EI-indexed papers and secured more than 50 Chinese invention patents, 8 American invention patents, and 15 software copyrights. His technical expertise extends to developing industry standards for CNC machine tools, collaborating with national committees, and formulating guidelines for intelligent manufacturing systems. With a strong foundation in mechanical engineering, automation, and data analytics, he continues to pioneer innovative research that bridges academia and industry. His extensive research skills have made him a leading figure in advancing precision engineering and smart manufacturing technologies worldwide.

Awards and Honors

Liu Kuo’s contributions to mechanical engineering and intelligent manufacturing have been recognized through numerous prestigious awards and honors. He has been named a young top talent under China’s “Ten Thousand People Plan,” a highly competitive program aimed at fostering top-tier researchers. Additionally, he has been selected for the Liaoning Province “Xingliao Talent Plan,” which acknowledges outstanding professionals in engineering and technology. His recognition as a high-end talent in Dalian City further underscores his influence in the field. Beyond these honors, Liu Kuo has received multiple awards for his groundbreaking research in CNC machine tools and precision manufacturing. His patents and scientific publications have earned national and international acclaim, contributing to advancements in intelligent machine tool systems. His role in national standardization committees highlights his leadership in shaping the future of CNC technology. Through his dedication to research, innovation, and knowledge dissemination, he has significantly impacted China’s industrial and academic landscapes. Liu Kuo’s achievements demonstrate his commitment to excellence and his continuous pursuit of cutting-edge solutions in mechanical engineering and manufacturing.

Conclusion

Liu Kuo is a highly accomplished professor and researcher whose contributions have significantly advanced CNC machine tool technology and intelligent manufacturing. His work in precision maintenance, real-time error compensation, and intelligent monitoring has positioned him as a leader in mechanical engineering. As a professor at Dalian University of Technology and deputy director of the Intelligent Manufacturing Longcheng Laboratory, he plays a crucial role in shaping future advancements in manufacturing technology. His extensive portfolio of research projects, patents, and scientific publications underscores his dedication to innovation. Recognized as a young top talent in China, he has received numerous prestigious awards and honors for his contributions. His leadership in national standardization committees further highlights his influence in the field. By integrating artificial intelligence and real-time monitoring into CNC machines, Liu Kuo continues to revolutionize intelligent manufacturing. His research and expertise bridge the gap between academia and industry, fostering technological advancements that drive economic growth. As he continues to push the boundaries of precision engineering, Liu Kuo remains a key figure in the development of cutting-edge manufacturing solutions. His work not only enhances industrial efficiency but also paves the way for the future of smart manufacturing.

Publication Top Notes

  1. Title: Characteristics of time series development and formation mechanism of icing interface strain under three-dimensional freezing conditions

    • Authors: L. Zeng, Lingqi; H. Liu, Haibo; H. Zhang, Hao; K. Liu, Kuo; Y. Wang, Yongqing
    • Year: 2025

  2. Title: Research on precision machining for ultra-thin structures based on 3D in-situ ice clamping

    • Authors: L. Zeng, Lingqi; H. Liu, Haibo; H. Zhang, Hao; K. Liu, Kuo; Y. Wang, Yongqing
    • Year: 2025

  3. Title: Cryogenic fluid labyrinth sealing characteristics considering cavitation effect

    • Authors: L. Han, Lingsheng; Y. Cheng, Yishun; X. Duan, Xinbo; K. Liu, Kuo; Y. Wang, Yongqing
    • Year: 2025

  4. Title: Defect formation mechanism in the shear section of GH4099 superalloy honeycomb under milling with ice fixation clamping

    • Authors: S. Jiang, Shaowei; D. Sun, Daomian; H. Liu, Haibo; K. Liu, Kuo; Y. Wang, Yongqing
    • Year: 2025

  5. Title: Multi-objective topology optimization for cooling element of precision gear grinding machine tool

    • Authors: C. Ma, Chi; J. Hu, Jiarui; M. Li, Mingming; X. Deng, Xiaolei; S. Weng, Shengbin
    • Year: 2025
    • Citations: 4

  6. Title: A semi-supervised learning method combining tool wear laws for machining tool wear states monitoring

    • Authors: M. Niu, Mengmeng; K. Liu, Kuo; Y. Wang, Yongqing
    • Year: 2025
    • Citations: 1

  7. Title: Influence of feed entrance angle on transverse tearing burr formation in the milling of superalloy honeycomb with ice filling constraint

    • Authors: S. Jiang, Shaowei; H. Liu, Haibo; Y. Zuo, Yueshuai; Y. Wang, Yongqing; S.Y. Liang, Steven Y.
    • Year: 2024

  8. Title: Hole position correction method for robotic drilling based on single reference hole and local surface features

    • Authors: T. Li, Te; B. Liang, Bochao; T. Zhang, Tianyi; K. Liu, Kuo; Y. Wang, Yongqing
    • Year: 2024

  9. Title: Modeling and compensation of small-sample thermal error in precision machine tool spindles using spatial–temporal feature interaction fusion network

    • Authors: Q. Chen, Qian; X. Mei, Xuesong; J. He, Jialong; J. Zhou, Jianqiang; S. Weng, Shengbin
    • Year: 2024
    • Citations: 38

  10. Title: A tool wear monitoring approach based on triplet long short-term memory neural networks

  • Authors: B. Qin, Bo; Y. Wang, Yongqing; K. Liu, Kuo; M. Niu, Mengmeng; Y. Jiang, Yeming
  • Year: 2024

 

Jameer Kotwal | Engineering | Best Researcher Award

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Dr. Jameer Kotwal | Engineering | Best Researcher Award

Associate Professor at Dr D Y Patil Institute of Technology pimpri, India

Mr. Jameer G. Kotwal is an Assistant Professor at Dr. D.Y. Patil Institute of Technology, Pimpri, Pune, with a career spanning over 14 years in the field of engineering education. He is currently pursuing a Ph.D. and holds a Master’s degree in Computer Engineering. Throughout his career, he has demonstrated remarkable proficiency in subjects related to deep learning, machine learning, CUDA programming, and algorithms. Mr. Kotwal has contributed significantly to academia by mentoring students, guiding projects, and being a part of various committees, including syllabus formation. His dedication to research and innovation is evidenced by his development of cutting-edge systems and products, such as facial recognition-based attendance systems. His work has resulted in multiple patents and copyrights, making him a key player in the technological innovations at his institution. Beyond academics, Mr. Kotwal has been honored with numerous awards, including the Best Teacher Award, and has played an active role in prestigious competitions like Smart India Hackathon.

Professional Profile

Education:

Mr. Jameer G. Kotwal holds a Master’s degree (ME) in Computer Engineering and is currently pursuing a Ph.D. in a related field. His academic journey has been marked by a strong focus on computer science and its application to real-world problems, specifically in machine learning, deep learning, and artificial intelligence. He has consistently pursued advanced coursework and certifications through platforms like NPTEL, Coursera, and Udemy, expanding his expertise. His ongoing doctoral studies further underscore his commitment to expanding knowledge in his field. The combination of practical teaching experience and academic research equips him to handle complex technical problems and contribute meaningfully to the research community. Additionally, his involvement in curriculum development, such as being a syllabus setter for various university courses, reflects his in-depth knowledge and academic rigor.

Professional Experience:

Mr. Kotwal’s professional experience spans over 14 years in the academic sector, primarily as an Assistant Professor. He has worked at several prestigious institutions, including Dr. D.Y. Patil Institute of Technology, Pimpri Chinchwad College of Engineering, and Nutan Maharashtra Institute of Engineering & Technology. His responsibilities have included teaching undergraduate and postgraduate students, guiding research projects, and taking on leadership roles within his department. Notably, he has served as the Department Project Coordinator and has handled various NBA (National Board of Accreditation) criteria. In addition to his teaching duties, Mr. Kotwal has been instrumental in organizing and delivering faculty development programs, mentoring students, and fostering research collaborations. His role in guiding over 50 undergraduate students and providing invaluable mentorship to numerous students in national hackathons has greatly contributed to the academic community.

Research Interest:

Mr. Kotwal’s primary research interests lie in the fields of machine learning, deep learning, artificial intelligence, and their applications in real-world problems. His research has centered on innovative solutions such as plant disease identification using deep learning and the development of advanced systems for facial recognition-based attendance and sign language translation. Additionally, his work on smart expense management systems, touchless attendance systems, and emotion-based intelligent chatbots showcases his focus on integrating AI technologies into everyday applications. Through his research, Mr. Kotwal aims to bridge the gap between theoretical knowledge and practical application, ultimately creating technology that can have a positive societal impact. He is also exploring the intersection of computer science with various industries, including agriculture, healthcare, and education.

Research Skills:

Mr. Kotwal is well-versed in various research methodologies and has honed a diverse set of technical skills through his academic and professional journey. His expertise spans deep learning, machine learning, algorithm design, CUDA programming, and compiler design. He is proficient in using frameworks and tools like Python, TensorFlow, Keras, and PyTorch for deep learning and AI applications. Furthermore, his ability to develop and implement innovative systems, such as facial attendance systems and smart healthcare applications, demonstrates his ability to blend theoretical knowledge with hands-on technical skills. Mr. Kotwal also has considerable experience with data analysis and modeling, which is crucial for driving research in artificial intelligence. His passion for research is evident in his continuous engagement with new technologies and his involvement in applying them in innovative projects.

Awards and Honors:

Mr. Kotwal has received multiple awards and recognitions throughout his career. Notably, he was honored with the Best Teacher Award for his outstanding contribution to the academic community. His mentorship and guidance in national competitions, such as the Smart India Hackathon, led to his teams winning significant prizes, further enhancing his reputation as a leading educator and researcher. Mr. Kotwal also secured second place in the Amity Incubation Centre for his project on plant disease identification using deep learning. His patents and copyrights in the areas of facial recognition systems, smart expense managers, and privacy-oriented extensions demonstrate his innovative approach to research and technology development. These accolades not only reflect his individual accomplishments but also underscore his role in nurturing students and advancing research in technology.

Conclusion:

In conclusion, Mr. Jameer G. Kotwal is a distinguished academic and researcher whose contributions to the fields of computer science, particularly machine learning and deep learning, have made a significant impact. His extensive professional experience, coupled with his continuous academic growth through certifications and research, positions him as a strong contender for the Best Researcher Award. Mr. Kotwal’s leadership in curriculum development, his innovative patents and products, and his successful mentorship in national hackathons highlight his exceptional contributions to both education and research. His ability to blend theoretical knowledge with practical solutions makes him a valuable asset to the academic and research communities. Despite room for further collaboration and publication, his body of work clearly demonstrates his capability and potential for even greater accomplishments in the future.

Publication top Notes

  1. Enhanced leaf disease detection: UNet for segmentation and optimized EfficientNet for disease classification
    • Authors: Kotwal, J., Kashyap, R., Shafi, P.M., Kimbahune, V.
    • Year: 2024
  2. A modified time adaptive self-organizing map with stochastic gradient descent optimizer for automated food recognition system
    • Authors: Kotwal, J.G., Koparde, S., Jadhav, C., Somkunwar, R., Kimbahune, V.
    • Year: 2024
    • Citation: 3
  3. An India soybean dataset for identification and classification of diseases using computer-vision algorithms
    • Authors: Kotwal, J., Kashyap, R., Pathan, M.S.
    • Year: 2024
    • Citation: 1
  4. Artificial Driving based EfficientNet for Automatic Plant Leaf Disease Classification
    • Authors: Kotwal, J.G., Kashyap, R., Shafi, P.M.
    • Year: 2024
    • Citation: 85
  5. Yolov5-based convolutional feature attention neural network for plant disease classification
    • Authors: Kotwal, J.G., Kashyap, R., Shafi, P.M.
    • Year: 2024
    • Citation: 2
  6. A conditional generative adversarial networks and Yolov5 Darknet-based skin lesion localization and classification using independent component analysis model
    • Authors: Koparde, S., Kotwal, J., Deshmukh, S., Chaudhari, P., Kimbahune, V.
    • Year: 2024
  7. Big Data and Smart Grid: Implementation-Based Case Study
    • Authors: Kotwal, M.J., Kashyap, R., Shafi, P.
    • Year: 2023
  8. Agricultural plant diseases identification: From traditional approach to deep learning
    • Authors: Kotwal, J., Kashyap, D.R., Pathan, D.S.
    • Year: 2023
    • Citation: 142

 

 

MARIO ORESTES AGUIRRE GONZALEZ | Engineering | Best Researcher Award

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Prof. MARIO ORESTES AGUIRRE GONZALEZ | Engineering | Best Researcher Award

Professor at Federal University of Rio Grande do Norte, Brazil

Mario Orestes Aguirre González is an accomplished academic and researcher in the field of production engineering, with expertise in product innovation, process optimization, and renewable energy systems. He holds a Ph.D. in Production Engineering with a focus on customer integration in product development from the Universidade Federal de São Carlos (UFSCar), Brazil. As an Associate Professor at the Federal University of Rio Grande do Norte (UFRN), he has significantly contributed to academic development and industry collaborations. Mario leads the CREATION research group, focusing on renewable energy value chains, including wind, solar, and hydrogen. His research is widely published in high-impact journals such as Journal of Cleaner Production and Energy Policy. He is also an active member of national and international energy committees, contributing to strategic initiatives in green hydrogen development.

Professional Profile

Education

Mario Orestes Aguirre González’s educational background is diverse and distinguished. He earned a Ph.D. in Production Engineering from UFSCar in 2010, specializing in customer integration in product development. Prior to that, he completed his Master’s degree in Production Engineering at UFRN in 2005, focusing on customer satisfaction and loyalty in the hospitality industry. He also holds a Bachelor’s degree in Industrial Engineering from the Universidad Nacional de Ingeniería, Peru, which he obtained in 2000. He has pursued specialized training in areas such as total quality management, innovation management, offshore renewable energy systems, and intellectual property. This robust educational foundation has equipped him with a multidisciplinary perspective essential for tackling complex challenges in engineering and innovation.

Professional Experience

Mario has held various impactful positions throughout his career. He is currently an Associate Professor at UFRN, where he teaches and conducts research in product engineering, innovation management, and global value chain coordination. He has previously served as President of the Institute for Innovation and Product Development Management (IGDP) and coordinated significant national conferences and workshops. Mario has also worked on industry-oriented projects with leading companies such as ABM, Vale, and Volkswagen, through the Materials Characterization and Development Center at UFSCar. His contributions extend to academic administration, serving as the vice-coordinator and coordinator of graduate programs at UFRN, and as an editor for Product: Management & Development.

Research Interests

Mario’s research interests are rooted in innovation, process optimization, and renewable energy systems. He is dedicated to advancing knowledge in global value chain integration for green technologies, with a particular focus on wind, solar, and hydrogen energy. His work explores product and process innovation, leveraging interdisciplinary approaches to optimize industrial and operational processes. Through his leadership of the CREATION research group, Mario investigates sustainable energy solutions, contributing to the development of efficient and innovative production systems. He is also committed to fostering the link between academia and industry, ensuring practical applicability and societal impact of his research.

Research Skills

Mario possesses extensive research skills in production and process engineering, including the development of reference models, customer integration, and quality management. He is proficient in utilizing advanced methodologies such as Six Sigma DMAIC, regression models, and risk analysis to drive innovation and efficiency. Mario’s technical expertise spans renewable energy technologies, such as offshore wind and solar power systems, as well as green hydrogen development. His skills in project management, interdisciplinary collaboration, and scholarly writing have enabled him to produce impactful research published in high-impact journals. Additionally, he has strong capabilities in mentoring graduate students and fostering industry-academic partnerships.

Awards and Honors

Mario’s academic and professional achievements have been recognized through numerous awards and honors. He is a CNPq Productivity Research Fellow (Level 2), highlighting his significant contributions to Brazilian research. He received scholarships from CAPES for his doctoral and master’s studies, reflecting his academic excellence. As President of the IGDP, he was instrumental in organizing national events that fostered innovation and collaboration. He has also been acknowledged for his pioneering efforts in renewable energy research, including his active role in the National Hydrogen Program. His diverse recognitions underscore his leadership, academic rigor, and commitment to advancing innovation in engineering.

Conclusion

Mario Orestes Aguirre González is a strong candidate for the Best Researcher Award. His extensive contributions to production engineering, renewable energy innovation, and academic leadership, combined with impactful publications and industry collaborations, make him a well-rounded and deserving nominee. Strategic efforts to enhance international engagement and intellectual property outputs could further elevate his profile in the global research community.

Publication Top Notes

  1. Offshore Wind Power Growth and Industrial Development in Emerging Markets
    • Authors: González, M.; Santiso, A.; Jones, D.; Vasconcelos, R.; Melo, D.
    • Year: 2024
    • Citations: 0
  2. Maturity Model for Sustainability Assessment of Chemical Analyses Laboratories in Public Higher Education Institutions
    • Authors: Souza, M.A.; González, M.O.A.; Pinho, A.L.S.D.
    • Year: 2024
    • Citations: 3
  3. Technology Mapping of Direct Seawater Electrolysis Through Patent Analysis
    • Authors: Medeiros Araújo de Moura, L.C.; Orestes Aguirre González, M.; de Oliveira Ferreira, P.; Gonçalves Vasconcelos Sampaio, P.
    • Year: 2024
    • Citations: 4
  4. Factors Influencing the Decision-Making Process at the End-of-Life Cycle of Onshore Wind Farms: A Systematic Review
    • Authors: Agra Neto, J.; González, M.O.A.; Castro, R.L.P.D.; Souza, L.H.D.; Cabral, E.L.D.S.
    • Year: 2024
    • Citations: 0
  5. Evaluation of Technological Development of Hydrogen Fuel Cells Based on Patent Analysis
    • Authors: Moura, L.; González, M.; Silva, J.; Ferreira, P.; Sampaio, P.
    • Year: 2024
    • Citations: 1
  6. Lean Development and Its Impacts on the Performance of New Product Processes: An Analysis of Innovative Brazilian Companies
    • Authors: de Toledo, J.C.; Pinheiro, L.M.P.; Poltronieri, C.F.; Barbalho, S.; González, M.O.A.
    • Year: 2023
    • Citations: 4
  7. Analysis of the Impact of Communication Campaigns Under the Project “Syphilis No”: A National Tool for Inducing and Promoting Health
    • Authors: Paiva, J.C.D.L.; Dias-Trindade, S.; Gonzalez, M.O.A.; Barbalho, I.M.P.; Valentim, R.A.D.M.
    • Year: 2022
    • Citations: 2
  8. Environmental Licensing for Offshore Wind Farms: Guidelines and Policy Implications for New Markets
    • Authors: Vasconcelos, R.M.D.; Silva, L.L.C.; González, M.O.A.; Santiso, A.M.; de Melo, D.C.
    • Year: 2022
    • Citations: 13
  9. A Review on Organic Photovoltaic Cell
    • Authors: Sampaio, P.G.V.; González, M.O.A.
    • Year: 2022
    • Citations: 28
  10. Contact Points Between Lean Six Sigma and Industry 4.0: A Systematic Review and Conceptual Framework
    • Authors: Sordan, J.E.; Oprime, P.C.; Pimenta, M.L.; Silva, S.L.; González, M.O.A.
    • Year: 2022
    • Citations: 31

 

Huizhi Tang | Engineering | Best Researcher Award

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Dr. Huizhi Tang | Engineering | Best Researcher Award

Ph.D. at Donghua University, China

Tang Huizhi is a dedicated and innovative researcher currently pursuing a Ph.D. in Information and Communication Engineering at Donghua University, China. With a strong foundation in Communication Engineering, she has honed her expertise in routing protocols for Flying Ad-Hoc Networks (FANETs) and privacy protection for vehicle ad hoc networks. Tang’s research demonstrates a keen interest in advancing communication technologies and developing secure and efficient networking solutions for emerging technologies like drones and autonomous vehicles. Her academic journey is complemented by practical experience in hardware testing and system integration. Tang is known for her commitment to teamwork, analytical thinking, and a strong drive for continuous learning, making her a promising figure in her research field.

Professional Profile

Education

Tang Huizhi completed her bachelor’s degree in Communication Engineering from Huaibei Normal University, where she laid the groundwork for her interest in communication networks. She then pursued a master’s degree in Information Science and Technology from Donghua University, focusing on image processing for drones, particularly object tracking. Currently, Tang is in her second year of Ph.D. studies at Donghua University, specializing in routing protocols for Flying Ad-Hoc Networks. Her ongoing academic journey is shaped by her passion for enhancing wireless communication systems and her dedication to pursuing innovative research in the field.

Professional Experience

Tang’s professional experience includes an intensive internship at Sensing Future Technology Co., Ltd., where she worked on radar speed measurement projects. During her internship, she was primarily responsible for hardware welding and testing, gaining valuable hands-on experience in system integration and testing. This experience provided her with practical insights into hardware development and testing, complementing her academic research. Additionally, her participation in various research projects at Donghua University has allowed her to apply her theoretical knowledge to real-world applications, focusing on communication protocols and security in emerging technologies like drones and vehicular networks.

Research Interest

Tang Huizhi’s research interests lie at the intersection of communication engineering and emerging technologies. Specifically, her work focuses on routing protocols for Flying Ad-Hoc Networks (FANETs), a rapidly evolving area in wireless communications. She aims to develop efficient, reliable, and secure communication protocols for networks of drones. Additionally, Tang is exploring privacy protection techniques for vehicle-to-infrastructure communications, addressing security challenges in intelligent transportation systems. Her research contributes to the advancement of communication networks for autonomous systems, where secure and efficient data exchange is critical. Tang’s work combines theory with practical applications, aiming to solve real-world challenges in communication systems.

Research Skills

Tang Huizhi has developed a robust set of research skills during her academic journey. She possesses strong analytical skills, particularly in the areas of image processing, object tracking, and routing protocols for ad-hoc networks. Her research in Flying Ad-Hoc Networks (FANETs) involves advanced algorithm design, network modeling, and privacy protection techniques. Tang is proficient in using various simulation tools for network analysis and is skilled in programming languages like Python and MATLAB, which are essential for her research work. Her ability to collaborate with interdisciplinary teams, combined with her technical expertise, allows her to tackle complex problems in communication systems and network security.

Awards and Honors

Tang Huizhi has earned several accolades that demonstrate her academic excellence and innovative mindset. She won a provincial first prize at the 7th National Mobile Communication 5G Technology Competition (“Datang Cup”) and received a third-place award in the Anhui Provincial College Student Transportation Science and Technology Competition. Tang also won the Excellence Award in the National College Student Electronic Technology Competition and the National Undergraduate Mathematical Modeling Competition. She holds a utility model patent for an anti-fall buffer device for elevators. Furthermore, Tang achieved certifications in English, including the CET-4 and CET-6, and has been recognized for her contributions to both academic and practical aspects of her field. These awards and honors reflect her dedication to research and technological innovation.

Conclusion

Tang Huizhi is a highly talented and dedicated researcher whose work in routing protocols for Flying Ad-Hoc Networks and vehicle-to-infrastructure communication holds significant promise. Her publications, patents, and competition awards demonstrate her academic excellence and innovative mindset. While there are opportunities to expand the impact of her research and improve leadership and communication skills, she is already on a promising path in her field. Her passion, dedication, and contributions make her a strong candidate for the Best Researcher Award.

Publication Top Notes

  1. Blockchain-based Secure Routing Algorithm with Accumulating Trust in VANETs
    • Authors: Liu, M., Tang, H., Li, D.
    • Journal: Procedia Computer Science, 2023
    • Volume: 224, Pages: 44–51
    • Citations: 1
  2. Research on Siamese Object Tracking Algorithm Based on Knowledge Distillation in Marine Environment
    • Authors: Zhang, Y., Lin, Q., Tang, H., Li, Y.
    • Journal: IEEE Access, 2023
    • Volume: 11, Pages: 50781–50793
    • Citations: 1

 

Ali DJERIOUI | Engineering | Best Researcher Award

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Prof. Ali DJERIOUI | Engineering | Best Researcher Award

Professor at University of m’sila, Algeria.

Dr. M DJERIOUI Ali is a distinguished researcher and engineer in electrical engineering, specializing in energy systems, control systems, and renewable energy. His contributions span both academic and industrial spheres, with an emphasis on nonlinear control, hybrid powertrains, and energy management for sustainable systems. Dr. Djerioui has a well-established track record in both research and education, having published extensively in peer-reviewed journals and conferences. He is deeply involved in mentoring students and contributing to innovation in the electrical energy sector. Through his various roles, including Research and Development Manager and faculty positions, Dr. Djerioui continues to impact the field with his research and dedication to advancing sustainable technologies. His work has led to practical innovations in electrical insulation, hybrid vehicle energy systems, and energy-efficient solutions.

Education

Dr. Ali M DJERIOUI holds a Doctorate in Electrical Engineering from the University of Sciences and Technology Houari Boumediene, Algiers, Algeria, where he completed his thesis on “Nonlinear Control of a Parallel Active Filter Connected to an Electrical Network and a Photovoltaic System.” In 2018, he obtained the Habilitation à Diriger des Recherches (HDR) from the University of M’sila, Algeria. He also holds a Master’s degree in Electrical Engineering, specializing in Energy Conditioning and Electric Drives from the Military Polytechnic School in Algiers, and an engineering degree in Electrotechnics from the University of M’sila.

Professional Experience

Dr. Djerioui’s career spans both academia and industry. Since 2021, he has been the Research and Development Manager at Elecsa Innovation, leading the development of advanced insulation technologies and electrical designs for high-voltage devices. He has also held several teaching and research roles at the University of M’sila and has been involved in international collaborations, including contracts with IREENA Laboratory in France and Centrale Nantes. His professional experience also includes a scientific stay at the IREENA Institute in Saint Nazaire, France, where he focused on hybrid powertrain optimization and energy management systems.

Research Interests

Dr. Djerioui’s primary research interests revolve around electrical engineering, with a focus on energy systems, renewable energy, hybrid powertrains, and nonlinear control systems. His work explores the optimization of energy management in electric buses, the control of active filters in photovoltaic systems, and high-efficiency energy systems for sustainable applications. He has contributed to the development of innovative solutions in electrical insulation, condition monitoring for transformers, and energy systems integration. His research is at the intersection of electrical engineering and sustainable energy, with practical applications in industry and renewable technologies.

Research Skills

Dr. Djerioui has developed a broad skill set in electrical engineering and energy systems research. He is highly skilled in nonlinear control techniques, energy optimization for hybrid systems, and the design and testing of energy-efficient electrical components. His expertise includes multiphysics modeling (electrical and thermal), electrical design of high-voltage devices, and the development of advanced control algorithms for energy systems. Additionally, Dr. Djerioui is proficient in the use of simulation software and tools such as Matlab, Simulink, and Dspace for system modeling and control. His industrial research work also encompasses condition monitoring and lifetime estimation of electrical insulation, ensuring the reliability and longevity of power systems.

Awards and Honors

Dr. Djerioui has been recognized for his exceptional contributions to the field of electrical engineering. In 2021, he received the Innovation Excellence Prize in the Pays de la Loire region of France for his work in developing sustainable energy solutions and optimizing hybrid powertrains for electric vehicles. His role as co-founder of Elecsa Innovation Company has also brought significant innovation in the field of high-voltage electrical systems. These accolades reflect his leadership and pioneering work in sustainable energy technologies. Dr. Djerioui’s accomplishments highlight his dedication to both academic excellence and industry advancement.

Conclusion

Dr. M DJERIOUI Ali is an outstanding candidate for the Best Researcher Award. His impressive academic and professional achievements, including a significant number of publications, citations, and the award for Innovation Excellence, position him as a leading researcher in his field. His work on energy management, sustainable systems, and electrical engineering contributes notably to both academic research and real-world applications, making him a valuable asset to the scientific and engineering communities. His areas for improvement, particularly in broadening international collaborations and diversifying research areas, are minor compared to his overall contributions. Dr. Djerioui’s commitment to innovation, education, and industry collaboration makes him a deserving candidate for this prestigious award.

Publication Top Notes

  • Actuator fault tolerant control using adaptive RBFNN fuzzy sliding mode controller for coaxial octorotor UAV
    Authors: S. Zeghlache, H. Mekki, A. Bouguerra, A. Djerioui
    Journal: ISA Transactions 80, Pages: 267-278
    Year: 2018
    Citations: 106
  • Optimal parameter estimation strategy of PEM fuel cell using gradient-based optimizer
    Authors: H. Rezk, S. Ferahtia, A. Djeroui, A. Chouder, A. Houari, M. Machmoum
    Journal: Energy 239, Article: 122096
    Year: 2022
    Citations: 98
  • Optimal control and implementation of energy management strategy for a DC microgrid
    Authors: S. Ferahtia, A. Djeroui, H. Rezk, A. Houari, S. Zeghlache, M. Machmoum
    Journal: Energy 238, Article: 121777
    Year: 2022
    Citations: 87
  • Energy management strategy of supercapacitor/fuel cell energy storage devices for vehicle applications
    Authors: A. Djerioui, A. Houari, S. Zeghlache, A. Saim, M. F. Benkhoris, T. Mesbahi
    Journal: International Journal of Hydrogen Energy 44 (41), Pages: 23416-23428
    Year: 2019
    Citations: 74
  • Fault tolerant control for modified quadrotor via adaptive type-2 fuzzy backstepping subject to actuator faults
    Authors: S. Zeghlache, A. Djerioui, L. Benyettou, T. Benslimane, H. Mekki
    Journal: ISA Transactions 95, Pages: 330-345
    Year: 2019
    Citations: 64
  • A hybrid power system based on fuel cell, photovoltaic source and supercapacitor
    Authors: S. Ferahtia, A. Djerioui, S. Zeghlache, A. Houari
    Journal: SN Applied Sciences 2, Pages: 1-11
    Year: 2020
    Citations: 56
  • An Effective Compensation Technique for Speed Smoothness at Low Speed Operation of PMSM Drives
    Authors: H. Azeddine, B. Ahmed, D. Ali, M. Mohamed, A. Francois, D. A, O. J-C, …
    Journal: IEEE Transactions on Industry Applications 99 (August 2017), Pages: 1-1
    Year: 2017
    Citations: 48
  • Optimal adaptive gain LQR-based energy management strategy for battery–supercapacitor hybrid power system
    Authors: S. Ferahtia, A. Djerioui, T. Mesbahi, A. Houari, S. Zeghlache, H. Rezk, T. Paul
    Journal: Energies 14 (6), Article: 1660
    Year: 2021
    Citations: 46
  • Flatness-based grey wolf control for load voltage unbalance mitigation in three-phase four-leg voltage source inverters
    Authors: A. Djerioui, A. Houari, A. Saim, M. Aït-Ahmed, S. Pierfederici, M. F. Benkhoris
    Journal: IEEE Transactions on Industry Applications 56 (2), Pages: 1869-1881
    Year: 2019
    Citations: 43
  • Adaptive droop based control strategy for DC microgrid including multiple batteries energy storage systems
    Authors: S. Ferahtia, A. Djerioui, H. Rezk, A. Chouder, A. Houari, M. Machmoum
    Journal: Journal of Energy Storage 48, Article: 103983
    Year: 2022
    Citations: 42

Wesam Rababa | Engineering | Best Researcher Award

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Mr. Wesam Rababa | Engineering | Best Researcher Award

Graduated Student at King Fahd University of Petroleum and Minerals, Saudi Arabia 

Wesam Rababa is a dedicated architectural professional specializing in sustainable design and green building practices. With a strong focus on environmental sustainability, Wesam integrates eco-friendly principles into architectural designs, creating structures that are both efficient and comfortable. His expertise spans project development, energy efficiency, CO₂ emissions, and passive design, all of which are central to advancing green architecture. Wesam’s professional experiences are diverse, covering roles in teaching, interior design, architectural engineering, and project management across Jordan and Saudi Arabia. Recognized for his academic excellence, he has contributed to sustainability-focused research and holds multiple certifications in sustainable assessment, energy auditing, and environmental product declarations. As a committed member of the architectural community, Wesam is also a part of the Jordan Engineers Association and has led the Jordanian community at King Fahd University. With a solid academic foundation and a passion for sustainable design, Wesam Rababa is actively shaping the future of architecture in an environmentally conscious direction.

Education

Wesam Rababa has a strong academic background in architecture with a focus on sustainability. He completed his Master’s degree in Architecture Science from King Fahd University of Petroleum and Minerals in Saudi Arabia in 2023, supported by a fully funded scholarship. His Master’s studies equipped him with advanced knowledge in sustainable design practices, allowing him to address environmental challenges in architecture. Before this, Wesam earned his Bachelor’s degree in Architecture Engineering from Yarmouk University in Jordan in 2020, where he graduated with First Honor and a GPA of 3.844/4. His undergraduate studies emphasized sustainability and green buildings, laying a solid foundation for his career in sustainable architecture. These achievements reflect his academic dedication and commitment to environmental sustainability, supported by his excellent performance and academic honors. Wesam’s educational journey highlights his dedication to learning and the critical role that sustainable design principles play in modern architecture.

Professional Experience

Wesam Rababa has held diverse roles in architectural and educational settings, demonstrating his commitment to sustainable design and project management. His recent role as a Planning Engineer at PHASE in Khobar, Saudi Arabia, involves overseeing project timelines, coordinating design and construction teams, and managing project risks and budgets. Wesam has also served as an Architect at Minimalist for Design in Jordan, where he developed design concepts and detailed 3D models, focusing on functionality and sustainability. In academia, he contributed as a Teaching Assistant at King Fahd University of Petroleum and Minerals, preparing course materials and teaching courses like Architectural Design Studio and Digital Communication. His teaching extended to Yarmouk University and the TAFE Arabia training institute, where he guided students in AutoCAD and engineering drawing. His professional journey showcases a blend of practical architectural work and academic contributions, highlighting his versatile skills in design, project planning, and education.

Research Interests

Wesam Rababa’s research interests center around sustainable architecture and energy efficiency. He is deeply invested in exploring ways to reduce CO₂ emissions and enhance energy efficiency within buildings. His work focuses on passive design principles, which aim to naturally regulate building temperatures through architectural design elements, reducing reliance on mechanical systems. Wesam is also interested in green buildings and facade retrofit strategies, especially in hot climates, where energy efficiency can make a significant environmental impact. His interest in sustainable assessment rating systems and life cycle assessment underscores his commitment to designing environmentally responsible buildings. Wesam’s research aligns with the pressing need for sustainable solutions in the built environment, addressing both ecological and functional aspects of architecture. By focusing on innovative strategies that prioritize sustainability, he is actively contributing to the advancement of environmentally friendly architectural practices.

Research Skills

Wesam Rababa possesses a broad set of research skills essential for advancing sustainable architectural practices. His technical proficiency in sustainability programs such as IES and Envi_Met supports his research in energy-efficient design and environmental analysis. Wesam is skilled in using advanced architectural software, including Revit, AutoCAD, and SketchUp, which are crucial for developing detailed and accurate design models. Additionally, he is proficient in visualization tools like Lumion, Illustrator, and Photoshop, enabling him to create compelling presentations of his sustainable designs. His knowledge of the Mostadam AP sustainability rating system and certifications in life cycle assessment (LCA) and energy auditing further complement his skill set, allowing him to conduct comprehensive sustainability evaluations. Wesam’s expertise in design, energy efficiency, and sustainable assessment tools highlights his capacity to conduct impactful research in green architecture, making him a valuable contributor to the field.

Awards and Honors

Wesam Rababa has received numerous accolades in recognition of his academic and professional achievements. His commitment to excellence in architecture was honored with First Honor recognition in his Bachelor’s degree in Architecture Engineering at Yarmouk University. He was awarded a fully funded MSc scholarship from King Fahd University of Petroleum and Minerals in Saudi Arabia, reflecting his academic potential and dedication to sustainability. Wesam also received a scholarship from the China Scholarship Council, emphasizing his academic standing. In competitions, he achieved top ranks, including fifth place in the Smart Campus Competition at King Fahd University in 2023. His project on “Lightweight Concrete Block” advanced to the final stage of the Shamal Star Competition, underscoring his innovative approach to sustainable construction. These awards and honors highlight Wesam’s dedication, innovation, and commitment to sustainable design, establishing him as a promising architect and researcher in his field.

Conclusion

Wesam Rababa demonstrates a strong candidacy for a Best Researcher Award, especially in fields centered on sustainability and environmentally conscious architectural design. With a robust foundation in sustainable practices, academic excellence, and contributions to sustainability research, they embody the qualities valued in a researcher committed to ecological impact. If they continue to expand their research outputs and engage in collaborative projects, Wesam’s contributions could further their influence and strengthen their case for recognition in sustainable architectural research awards.

Publication Top Notes

  1. Façade Retrofit Strategies for Energy Efficiency Improvement Considering the Hot Climatic Conditions of Saudi Arabia
    Journal: Applied Sciences
    Publication Date: November 1, 2024
    Author(s): Wesam Rababa

 

 

Georgi Dimirovski | Systems Engineering | Outstanding Scientist Award

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Prof Dr. Georgi Dimirovski | Systems Engineering | Outstanding Scientist Award

Doctoral School FEIT at Sants Cyril & Methodius University in Skopje, Macedonia.

Prof. Dr. Georgi Marko Dimirovski is a distinguished researcher in automation and systems engineering, currently serving as a part-time Research Professor at the Doctoral School of FEIT, Saints Cyril and Methodius University in Skopje, Macedonia. He has held academic positions worldwide, including at Dogus University in Istanbul and Johannes Kepler University in Austria. With a Ph.D. in Automatic Control from the University of Bradford, UK, Prof. Dimirovski has contributed over 140 journal articles, 18 book chapters, and more than 450 conference papers. His research focuses on complex dynamical systems, fuzzy and neural computational intelligence, and traffic control in communication networks. A member of prestigious academies such as the European Academy of Sciences and Arts, he has received numerous awards, including the IEEE Individual Achievement Services Award. His work is widely recognized, with over 4,600 citations and an h-index of 32 in Google Scholar. Prof. Dimirovski’s career reflects a profound global impact on control engineering.

Profile:

Education

Prof. Dr. Georgi Marko Dimirovski’s academic journey is marked by a series of distinguished achievements. He earned his Dipl.-Ing. in Electrical Engineering in May 1966 from Saints Cyril & Methodius University in Skopje, Macedonia. Building on this foundation, he pursued advanced studies and obtained an M.Sc. in Automatic Control from the University of Belgrade, Serbia, in January 1974. His passion for research led him to the University of Bradford, England, where he was awarded a PhD by Research in Automatic Control in December 1977. There, he also completed a postdoctoral specialization in 1979, further enhancing his expertise in control engineering. His academic training has been complemented by numerous visiting academic positions, reflecting his commitment to continuous learning and research. This robust educational background laid the foundation for his prominent career in automation, control systems, and cybernetics, contributing to his leadership in these fields internationally.

Professional Experiences 

Prof. Dr. Georgi Marko Dimirovski has had a distinguished career in automation and systems engineering, holding key academic and research positions worldwide. He currently serves as a Research Professor at the Doctoral School of FEIT, Saints Cyril and Methodius University in Skopje, Macedonia. Previously, he was a Foreign Guest Professor at Dogus University in Istanbul (2003-2020), and has held visiting professorships at prominent institutions, including Johannes Kepler University in Austria and Free University in Brussels. Throughout his career, Prof. Dimirovski has contributed extensively to the international academic community, serving on editorial boards for top journals and as an associate editor for high-ranking conferences. His expertise has been recognized globally, as evidenced by his membership in esteemed academies like the European Academy of Sciences and Arts, and the International Academy for Systems and Cybernetics Sciences. His vast academic involvement across Europe and Asia has cemented his influence in the fields of automation, control systems, and complex networks.

Research Interests

Prof. Dr. Georgi Marko Dimirovski’s research interests lie in the field of complex dynamical systems, focusing on the synergies between control theory and computational intelligence. His work explores advanced control methodologies, including fuzzy and neural computational intelligence, with applications to multi-networked systems, switched systems, and robust control strategies. Prof. Dimirovski is also deeply involved in traffic control for computer and communication networks, aiming to optimize performance and efficiency. His interdisciplinary approach bridges control systems with computing, communication, and automation, driving innovations in industrial processes and large-scale networks. Furthermore, he has contributed significantly to the study of hybrid and distributed systems, examining their behavior under various dynamic conditions. Prof. Dimirovski’s research spans both theoretical developments and practical applications, with his insights influencing areas like smart grids, intelligent transportation systems, and cyber-physical systems. His continued focus on complex systems ensures the relevance of his work in the rapidly evolving fields of automation and control.

Research skills 

Prof. Dr. Georgi Marko Dimirovski possesses a diverse and advanced skill set in research, particularly in the fields of automation, systems control, and complex dynamical networks. His expertise spans fuzzy and neural computational intelligence, multi-network systems, switched systems, and traffic control within computer and communication networks. He is adept at bridging theoretical frameworks with practical applications, evident in his extensive contributions to control systems and their intersections with computing and communications. Prof. Dimirovski has a strong command of modern research methodologies, having authored over 140 journal articles, contributed to numerous conference papers, and published several book chapters. His editorial work and role as a reviewer for high-impact SCIE journals further reflect his deep understanding of peer-reviewed research processes. His ability to mentor graduate students and collaborate internationally underscores his leadership in fostering innovation and advancing knowledge within interdisciplinary research areas.

Award And Recognition 

Prof. Dr. Georgi Marko Dimirovski has received numerous prestigious awards and recognitions throughout his distinguished career in automation and systems engineering. Among his key accolades are the IET Premium Award (2009) for his outstanding article in the IET Control Theory & Applications journal and the Individual Achievement Services Award (2022) by the IEEE for Region 8. He was honored with the Outstanding Service Award at the 2011 IFAC World Congress, and the Outstanding Associate Editor Award in 2011 from the International Journal of Automation & Computing. Additionally, Prof. Dimirovski has been recognized for his lifelong contributions to academia, being a Foreign Member of the Academy of Engineering Sciences in Serbia, and an esteemed member of the European Academy of Sciences and Arts. His impactful research and leadership roles in various scientific organizations solidify his status as a highly influential figure in the global scientific community.

Conclusion

Prof. Dr. Georgi Marko Dimirovski is a highly accomplished and influential researcher, whose work in automation and systems engineering has had a lasting impact globally. His extensive experience, leadership in international scientific organizations, and strong citation record make him an excellent candidate for the Research for Outstanding Scientist Award. Addressing areas for improvement like modern research integration would further enhance his candidacy. Overall, he is a strong contender deserving of recognition for his lifelong dedication to advancing science.

Publication Top Notes
  1. Fluoride removal using a rotating anode electro-coagulation reactor: Parametric optimization using response surface methodology, isotherms and kinetic studies, economic analysis and sludge characterization
    • Authors: Meena, R.R., Singh, R.M., Soni, P., Kumar, R., Kumar, S.
    • Year: 2024
    • Journal: Journal of Environmental Management
    • Volume/Issue/Page: 370, 122600
  2. Emerging and futuristic phyto-technologies for sustainable wastewater treatment with resource recovery and economical aspects
    • Authors: Agrahari, S., Kumar, S.
    • Year: 2024
    • Journal: Journal of Water Process Engineering
    • Volume/Issue/Page: 65, 105753
  3. Novel ionic liquid-based nano-photocatalyst for microwave-ultrasound intensified biodiesel synthesis
    • Authors: Gautam, A., Chawade, N.S., Kumar, S., Ahmad, Z., Patle, D.S.
    • Year: 2024
    • Journal: Energy Conversion and Management
    • Volume/Issue/Page: 313, 118599
  4. Correction to: Technological innovations in biomass processing: thematic issue for an international conference “CHEM-CONFLUX22”
    • Authors: Kumar, S., Ahmad, Z., Patle, D.S.
    • Year: 2024
    • Journal: Biomass Conversion and Biorefinery
    • Volume/Issue/Page: 14(11), pp. 11725
  5. Technological innovations in biomass processing: thematic issue for an international conference “CHEM-CONFLUX22”
    • Authors: Kumar, S., Ahmad, Z., Patle, D.S.
    • Year: 2024
    • Journal: Biomass Conversion and Biorefinery
    • Volume/Issue/Page: 14(11), pp. 11723
  6. Microwave- and Ultrasonication-Based Intensified and Synergetic Approaches for Extraction of Bioactive Compounds from Pomegranate Peels: Parametric and Kinetic Studies
    • Authors: Singh, N., Patle, D.S., Kumar, S.
    • Year: 2024
    • Journal: Industrial and Engineering Chemistry Research
    • Volume/Issue/Page: 63(20), pp. 9214–9224
  7. Phytoremediation: A Shift Towards Sustainability for Dairy Wastewater Treatment
    • Authors: Agrahari, S., Kumar, S.
    • Year: 2024
    • Journal: ChemBioEng Reviews
    • Volume/Issue/Page: 11(1), pp. 115–135
  8. Metal- and ionic liquid-based photocatalysts for biodiesel production: a review
    • Authors: Gautam, A., Khajone, V.B., Bhagat, P.R., Kumar, S., Patle, D.S.
    • Year: 2023
    • Journal: Environmental Chemistry Letters
    • Volume/Issue/Page: 21(6), pp. 3105–3126
  9. Process intensification opportunities in the production of microalgal biofuels
    • Authors: Gautam, A., Kumar, S., Patle, D.S.
    • Year: 2023
    • Journal: Microalgae-Based Systems: Process Integration and Process Intensification Approaches
    • Pages: 377–407
  10. Hydrodynamic Simulation and Analysis Using Computational Fluid Dynamics: Electrochemical Reactors and Redox Flow Batteries
  • Authors: Meena, R.R., Kumar, S., Soni, P.
  • Year: 2023
  • Journal: ChemBioEng Reviews
  • Volume/Issue/Page: 10(5), pp. 670–683