Seung-Bok Choi | Smart Cities and Urban Analytics | Lifetime Achievement Award

Prof. Seung-Bok Choi | Smart Cities and Urban Analytics | Lifetime Achievement Award

Inha University | South Korea

PUBLICATION PROFILE

Google Scholar

Scopus

Orcid

INTRODUCTION 🌟

Professor Seung-Bok Choi is a distinguished academician and researcher in the field of mechanical engineering. He is currently serving as a leading professor at the Mechanical Engineering Department of The State University of New York, Korea (SUNY Korea), after a successful career at Inha University. His expertise lies in dynamic systems, with a primary focus on smart materials such as MR Fluid, ER Fluid, SMA, and piezoelectric materials, contributing significantly to the fields of vibration control, mechanical systems, and smart materials.

EARLY ACADEMIC PURSUITS 🎓

Professor Choi’s academic journey began in South Korea, where he earned his Bachelor’s degree in Mechanical Engineering from Inha University in 1979. He then pursued his graduate studies at Michigan State University in the United States, obtaining his Master’s degree in 1986 and a Ph.D. in 1990, both in Mechanical Engineering. These foundational years equipped him with the expertise needed to make profound contributions in his field.

PROFESSIONAL ENDEAVORS 👨‍🏫

After completing his studies, Professor Choi embarked on a distinguished career in academia and research, initially serving as a faculty member at Inha University for over 30 years. In 2021, he transitioned to SUNY Korea, where he continues to lead significant research in mechanical engineering. His professional journey also includes holding prominent editorial positions in several esteemed international journals, contributing to the global development of smart material technologies.

CONTRIBUTIONS AND RESEARCH FOCUS 🧠

Professor Choi’s research has greatly advanced the field of dynamic systems and smart materials. His work on materials like MR Fluid, ER Fluid, SMA, and piezoelectric materials has shaped the design of modern systems used in robotics, aerospace, automotive, and civil engineering. He has authored over 750 SCI-indexed articles and 20 books or book chapters, underlining his profound influence on both theoretical and applied research.

IMPACT AND INFLUENCE 🌍

Professor Choi’s groundbreaking work in vibration control, dynamic systems, and smart materials has had a significant impact globally. His innovative contributions have helped shape modern technologies used in industries such as robotics and aerospace. His research has provided a scientific foundation for the development of intelligent systems, pushing the boundaries of what is possible in the engineering world.

ACADEMIC CITATIONS AND PUBLICATIONS 📚

Professor Choi is widely recognized for his scholarly work, which has earned him an impressive Google Scholar h-index of 73 and over 25,000 total citations by December 2024. He ranks as one of the leading researchers worldwide, particularly in the fields of vibration control (#1) and smart materials (#2), demonstrating the global significance of his contributions.

HONORS & AWARDS 🏆

Throughout his illustrious career, Professor Choi has received numerous prestigious honors, including the 8th Duckmyung Engineering Academy Award in 2014 and the Korea Engineering Award (Young Engineer Award) in 2000. He is also a distinguished fellow of the Korean Academy of Science and Technology (KAST) and has been recognized by numerous global organizations such as ASME (American Society of Mechanical Engineers).

LEGACY AND FUTURE CONTRIBUTIONS 🏛️

Professor Choi’s legacy as a researcher and educator will endure for many years to come. His mentorship has shaped the careers of many engineers and researchers, with 156 M.S. students, 45 Ph.D. students, and 14 postdoctoral fellows under his guidance. His continued work at SUNY Korea will likely drive further breakthroughs in mechanical engineering and smart materials.

FINAL NOTE ✨

Professor Seung-Bok Choi’s remarkable career is a testament to his unwavering dedication to advancing mechanical engineering, smart materials, and dynamic systems. His pioneering research and contributions continue to influence the field, and as he moves forward with his work at SUNY Korea, his legacy will undoubtedly inspire future generations of engineers and researchers.

 TOP NOTES PUBLICATIONS 📚

Leakage Characteristics and Experimental Research of Staggered Labyrinth Sealing
    • Authors: N. Wang, Y. Cao, Z. Sun, S. Tang, S.B. Choi

    • Journal: Lubricants

    • Year: 2024

Ultrastretchable, Tough, and Highly Conductive Ionogels for Multipurpose Motion Monitoring
    • Authors: M. Kim, J. Kim, H. Yoo, K. Hong, K. Lee

    • Journal: ACS Materials Letters

    • Year: 2024

Analytical Modeling and Simulations of a Piezoelectric Nanorod for Energy Harvesting via Eringen’s Differential Model
    • Authors: M. Zarepour, S.B. Choi

    • Journal: Applied Physics A: Materials Science and Processing

    • Year: 2024

A Modified Parametric Model to Predict Visco-elastic Properties of Magneto-rheological Elastomers at Non-LVE Region
    • Authors: D.M. Patel, R.V. Upadhyay, S.A. Mazlan, S.B. Choi

    • Journal: Journal of Intelligent Material Systems and Structures

    • Year: 2024

The Actuating Characteristics of Magnetorheological Fluids Subjected to Particle Sedimentation and Temperature Variation
    • Authors: E.T. Maharani, D. Lee, Y. Kim, J.S. Oh, S.B. Choi

    • Journal: Actuators

    • Year: 2024

Snehal Laddha | Medical Image Analysis | Best Researcher Award

Prof. Snehal Laddha | Medical Image Analysis | Best Researcher Award

University of Bradford | United Kingdom

Publication Profile

Google Scholar

INTRODUCTION 🌟

Ms. Snehal Laddha is a highly accomplished and dynamic educator and professional, with an extensive background in Electronics and Computer Science, specializing in AI, Data Analysis, and Deep Learning. With over 16 years of experience in the academic field, she has significantly contributed to student engagement, research innovation, and global academic exposure through teaching roles in India, Australia, and the UK.

EARLY ACADEMIC PURSUITS 📚

Snehal’s academic journey began with a keen interest in electronics and computer science. She completed her formal education, setting the foundation for her research in emerging fields such as Artificial Intelligence (AI) and data analysis. Her academic pursuit took her across various top institutions, where she honed her skills in programming, image analysis, and deep learning, fueling her desire to make a significant impact on both the academic and technological landscapes.

PROFESSIONAL ENDEAVORS 👩‍🏫

Snehal’s career includes prestigious teaching roles such as Assistant Professor at Ramdeobaba University, H.V.P.M.C.O.E.T., and S.R.K.N.E.C. in India, as well as a Teaching Tutor position at the University of Technology, Sydney, Australia. She has also demonstrated remarkable versatility, contributing in non-teaching roles such as Customer Service at Sydney CBD METCENTER, where she gained invaluable international exposure and insights into multicultural education systems.

CONTRIBUTIONS AND RESEARCH FOCUS  ON MEDICAL IMAGE ANALYSIS💡

A passionate researcher, Snehal’s work primarily revolves around AI, computer vision, and Internet of Things (IoT) applications. Her efforts in data analysis, deep learning, and image analysis have led to several publications in both national and international journals. Her most notable invention is the IoT-powered smart trash bin (patent granted in 2024). She is deeply committed to improving academic practices by leading initiatives to organize Faculty Development Programs (FDPs) and research projects sponsored by AICTE.

IMPACT AND INFLUENCE 🌍

Snehal’s global exposure and significant contributions in both teaching and research have shaped the careers of many students and academics. She consistently fosters innovation, critical thinking, and leadership in her students by incorporating advanced technologies into the curriculum. Through her work, she has become a vital figure in the academic community, nurturing the next generation of scientists and engineers.

ACADEMIC CITATIONS AND PUBLICATIONS 📑

Snehal has published numerous papers in international and national journals, covering a wide range of topics, from embedded systems to AI applications. Her citations reflect her deep expertise and recognition in the academic community. She remains dedicated to advancing her field and continues to contribute valuable insights through her research endeavors.

HONORS & AWARDS 🏆

Ms. Snehal Laddha has been recognized for her exceptional academic and professional contributions with multiple prestigious honors:

  • Australian Qualified Professional Engineer certification by Engineers Australia
  • Best Paper Award at Cardiff Metropolitan University, UK
  • Grants for organizing Faculty Development Programs and SPICES from AICTE
  • IELTS Score of 6.5/10 from the British Council

These awards reflect her dedication to excellence in both teaching and research, cementing her as a leader in her field.

LEGACY AND FUTURE CONTRIBUTIONS 🌱

Looking forward, Snehal plans to continue her research and academic endeavors, focusing on the evolution of AI and its practical applications in various industries. She is determined to contribute to the development of innovative solutions that can address societal challenges, particularly through IoT, deep learning, and image processing.

FINAL NOTE ✨

Ms. Snehal Laddha’s career is a testament to her unwavering commitment to education, research excellence, and global academic collaboration. With a rich background spanning teaching, research, and innovative solutions, she continues to inspire and lead in the realm of AI and data science, ensuring her legacy as an influential figure in the academic and technological spheres.

TOP NOTES PUBLICATIONS 📚

Liver Segmentation from MR T1 In-Phase and Out-Phase Fused Images Using U-Net and Its Modified Variants
    • Authors: SVL Siddhi Chourasia, Rhugved Bhojane
    • Journal: Intelligent Systems. ICMIB 2024. Lecture Notes in Networks and Systems
    • Year: 2025
Deep-Dixon: Deep-Learning frameworks for fusion of MR T1 images for fat and water extraction
    • Authors: SV Laddha, RS Ochawar, K Gandhi, YD Zhang
    • Journal: Multimedia Tools and Applications
    • Year: 2024
Addressing Class Imbalance in Diabetic Retinopathy Segmentation: A Weighted Ensemble Approach with U-Net, U-Net++, and DuckNet
    • Authors: E Gawate, S Laddha
    • Journal: International Conference on Intelligent Systems for Cybersecurity (ISCS)
    • Year: 2024
A Novel Method of Enhancing Skin Lesion Diagnosis Using Attention Mechanisms and Weakly-Supervised Learning
    • Author: SV Laddha
    • Journal: World Conference on Artificial Intelligence: Advances and Applications
    • Year: 2024
Automated Liver Segmentation in MR T1 In-Phase Images Transfer Learning Technique
    • Authors: SV Laddha, AH Harkare
    • Journal: Proceedings of Eighth International Conference on Information System Design
    • Year: 2024
Automated Segmentation of Liver from Dixon MRI Water-Only Images Using Unet, ResUnet, and Attention-Unet Models
    • Authors: E Gawate, SV Laddha, RS Ochawar
    • Journal: Information System Design: AI and ML Applications: Proceedings of Eighth International Conference on Information System Design
    • Year: 2024

Amirhossein Bolurian | Energy and Utilities Analytics | Best Researcher Award

Dr. Amirhossein Bolurian| Energy and Utilities Analytics | Best Researcher Award

Islamic Azad University of Yazd, Iran

Author Profile

Scopus

Early Academic Pursuits 🎓

Dr. Amirhossein Bolurian’s academic journey began with a strong foundation in Electrical Engineering, specifically in Power Systems. His undergraduate studies at Islamic Azad University of Tabas were marked by an impressive GPA of 19.59/20, where he focused on “Reactive Power Control of a Microgrid in the Presence of Distributed Generation Sources.” This was followed by a Master’s degree at Islamic Azad University of Yazd, where his thesis explored the “Effect of Internal Impedance of Synchronous Generators on Voltage Stability,” furthering his expertise in power system dynamics and stability.

His pursuit of knowledge culminated in a Ph.D. from Islamic Azad University of Yazd, where he excelled with a GPA of 17.57/20. His doctoral thesis, “Energy Management in the Microgrid with Considering Load Response in the Presence of Distributed Energy Sources in the Internet of Things Platform,” provided innovative solutions for optimizing energy management in the evolving context of smart grids and microgrids. This research not only contributed to the academic community but also demonstrated his deep engagement with emerging technologies like IoT in energy systems.

Professional Endeavors 💼

Dr. Bolurian’s professional career spans both academic and industry-related contributions. He currently serves as an assistant professor at Islamic Azad University of Tabas, where he imparts his extensive knowledge in power systems and energy management. Additionally, he contributed to the academic sphere at the Islamic Azad University in Tehran Medical Sciences as an assistant professor, where he leveraged his research in power systems to address real-world applications. His expertise in smart grids, microgrids, and energy optimization techniques has positioned him as a leading educator in these cutting-edge areas.

His research also bridges the gap between academia and industry, as evidenced by his involvement in reviewing numerous ISI journals and participating in national conferences. Dr. Bolurian’s professional pursuits showcase his commitment to both teaching and furthering practical solutions for energy challenges in today’s interconnected world.

Contributions and Research Focus 🔬

Dr. Bolurian’s research focuses on the optimization of energy systems, particularly in microgrids, smart grids, and renewable energy integration. He has made significant contributions to the development of energy management systems that incorporate demand response programs and distributed generation sources, often through the innovative use of platforms such as the Internet of Things (IoT). His work on the “Bi-level Energy Management Model for Smart Grids” and the optimization of microgrids under uncertainty has received widespread recognition in top-tier journals, including Elsevier Sustainable Cities and Society and Electric Power Systems Research.

Furthermore, Dr. Bolurian has explored key areas like the dynamics and control methodologies for energy systems, energy market modeling, and optimization in the IoT platform. His diverse research interests align with global efforts to enhance energy efficiency, improve power grid reliability, and develop sustainable energy solutions. Through these contributions, he has positioned himself as a key researcher in the optimization and management of energy systems.

Impact and Influence 🌍

Dr. Bolurian’s work has had a significant impact on both the academic and practical aspects of energy systems. His published research papers, such as “Energy Management in Microgrids Considering Demand Response,” contribute to the ongoing transformation of smart grids and energy management systems. These papers, published in high-ranking journals with substantial impact factors, reflect his influence in advancing energy solutions that integrate renewable energy sources and IoT technologies.

His contributions extend beyond the written word, as he has shared his expertise with industry professionals and policy makers, advocating for the use of demand-side management and the efficient operation of microgrids. With an h-index of 3 and more than 70 citations since 2022, Dr. Bolurian’s research has clearly resonated within the scientific community, solidifying his role as a leading figure in energy systems optimization.

Academic Cites and Recognition 📚

Dr. Bolurian’s research has gained considerable recognition through citations in prestigious journals and conferences. His works on energy management, smart grids, and the role of IoT in optimizing energy use have earned him an h-index of 3, with over 70 citations. This reflects the relevance and application of his research in solving modern energy challenges, positioning him as a thought leader in his field. As a reviewer for high-impact journals such as Electric Power Components and Systems and IET Generation, Transmission & Distribution, his academic influence continues to grow, enhancing the quality and rigor of research in electrical engineering.

Technical Skills and Expertise 💻

Dr. Bolurian possesses a diverse and advanced skill set, including proficiency in programming and engineering software. His technical expertise spans across MATLAB, Simulink, Python, and other specialized tools like DIgSILENT, GAMS, and HOMER Pro. These skills are essential for modeling, simulating, and optimizing complex energy systems. His ability to apply these tools to real-world energy problems, such as optimizing microgrid operation and integrating renewable energy, underscores his technical acumen. Additionally, his experience with non-engineering software like Microsoft Office and Adobe Suite enhances his ability to communicate complex ideas effectively, both in academic publications and presentations.

Teaching Experience 👩‍🏫

Dr. Bolurian’s teaching experience is marked by a strong commitment to educating the next generation of electrical engineers. He has served as an assistant professor at Islamic Azad University of Tabas and Tehran Medical Sciences, teaching courses in power systems, renewable energy, and energy management. Through his teaching, he fosters critical thinking and technical problem-solving skills, while also introducing students to cutting-edge topics such as smart grids, microgrids, and IoT applications in energy systems.

His dedication to teaching is matched by his mentoring of undergraduate and graduate students, guiding them through complex research topics and encouraging them to explore innovative solutions to global energy challenges.

Legacy and Future Contributions 🔮

Dr. Bolurian’s work in energy systems optimization, smart grids, and microgrid management has already made a lasting impact on the field. His ongoing research continues to push boundaries, particularly in the areas of energy efficiency, demand response, and renewable energy integration. With upcoming projects focused on electric vehicle parking lots (EVPL) and vehicle-to-grid (V2G) technologies, Dr. Bolurian is poised to contribute further to the development of sustainable, smart energy solutions.

Top Noted Publications 📖

Article Title: Optimal energy management for electric vehicle charging parking lots with considering renewable energy resources and accurate battery characteristic modeling

Authors: Kioumarsi, K., Bolurian, A.
Journal: Journal of Energy Storage
Year: 2025

Article Title: Bi-level energy management model for the smart grid considering customer behavior in the wireless sensor network platform

Authors: Bolurian, A., Akbari, H., Mousavi, S., Aslinezhad, M.
Journal: Sustainable Cities and Society
Year: 2023

Article Title: Day-ahead optimal scheduling of microgrid with considering demand side management under uncertainty

Authors: Bolurian, A., Akbari, H., Mousavi, S.
Journal: Electric Power Systems Research
Year: 2022

Article Title: Energy management in microgrids considering the demand response in the presence of distributed generation resources on the IoT platform

Authors: Bolurian, A., Akbari, H., Daemi, T., Mirjalily, S.A.A., Mousavi, S.
Journal: Energy Sources, Part B: Economics, Planning and Policy
Year: 2022

Huike Zeng | Smart Cities and Urban Analytics | Best Researcher Award

Mr. Huike Zeng | Smart Cities and Urban Analytics | Best Researcher Award

Mr. Huike Zeng at Shandong university, China

👨‍🎓 Profile

📝 Summary

Zeng Huike is a dedicated Ph.D. candidate in Geotechnical Engineering at Shandong University, focusing on transportation engineering, particularly in non-destructive testing and vibration control for railway infrastructure.

🎓 Education

  • B.S. in Transportation Engineering (2015-2019) from East China Jiaotong University, China
  • M.A.Sc. in Transportation Engineering (2019-2022) from Shenzhen University, China
  • Ph.D. Candidate in Geotechnical Engineering (2022-present) at Shandong University, China

💼 Professional Experience

Developed innovative phononic crystal floating slab tracks and TID-vibration-isolator systems aimed at effective vibration reduction. Established a multi-frequency data fusion method using the Non-Subsampled Contourlet Transform (NSCT) for ground penetrating radar (GPR) applications in railway infrastructure testing.

🔍 Research Interests

Dynamic soil-structure interaction, non-destructive testing, ground penetrating radar, vibration and noise control, deep learning, and predictive methods are the key areas of exploration.

🏆 Awards

  • National Scholarship, Ministry of Education of China (2021)
  • SZU Outstanding Graduate Award, Shenzhen University (2022)
  • Academic Excellence Scholarship, Shandong University (2023)
📖  Top Noted Publications

Article Title: Study on Low-Frequency Vibration Mitigation Characteristics of TID-Vibration-Isolator Floating Slab Track

  • Authors: Sheng, X.; Zeng, H.-K.; Shi, C.; Zhang, Y.; Du, Y.-L.
    Journal: Gongcheng Lixue / Engineering Mechanics
    Volume: 40
    Issue: 5
    Pages: 49–58
    Year: 2023

Article Title: A Study on Low-Frequency Vibration-Mitigation Performance of a Phononic Crystal Floating Slab Track

  • Authors: Sheng, X.; Zeng, H.; Shi, C.; Du, Y.
    Journal: Zhendong yu Chongji / Journal of Vibration and Shock
    Volume: 41
    Issue: 12
    Year: 2022

Article Title: Numerical Study on Propagative Waves in a Periodically Supported Rail Using Periodic Structure Theory

  • Authors: Sheng, X.; Zeng, H.; Zhang, S.Y.; Wang, P.
    Journal: Journal of Advanced Transportation
    Volume: 2021
    Pages: 6635198
    Year: 2021