Ramin Ahadi | Operations Research | Best Researcher Award

Mr.Ramin Ahadi | Operations Research | Best Researcher Award

Mr.Ramin Ahadi , University of Cologne , Germany

A final-year Ph.D. candidate ๐ŸŽ“ at the University of Cologne and IE Business School, this researcher specializes in practical operations management and data science. Their work focuses on developing intelligent decision support systems using agent-based simulation ๐Ÿง , machine learning ๐Ÿค–, and deep reinforcement learning. With expertise in smart mobility ๐Ÿš—โšก, energy systems โšก๐ŸŒ, and sustainability, they bridge real-world problems with cutting-edge technology. Fluent in Python and other tools, they actively teach ML to graduate students ๐Ÿ“˜ and collaborate across academia and industry. Passionate about climate solutions ๐ŸŒฑ, they aim to innovate for a greener and smarter world. ๐ŸŒ๐Ÿ’ก

Professional Profile

Google Scholar

Education & Experienceย 

Holding a Ph.D. (2025 exp.) in Information Systems & Operations Management from the University of Cologne ๐ŸŽ“ and currently a visiting scholar at IE Business School, Madrid ๐Ÿ‡ฉ๐Ÿ‡ช๐Ÿ‡ช๐Ÿ‡ธ, they also earned M.Sc. and B.Sc. degrees in Iran ๐Ÿ‡ฎ๐Ÿ‡ท in Industrial and Mechanical Engineering respectively. With roles as researcher, lecturer ๐Ÿ‘จโ€๐Ÿซ, and tutor, their journey spans Europe and Asia. Theyโ€™ve worked on EU-level energy and mobility research projects, simulations for EV fleets โšก๐Ÿš—, and optimization algorithms. Teaching advanced analytics, leading grants, and collaborating with cities like Berlin and Paris ๐ŸŒ, they blend deep technical skills with real-world impact.

Professional Developmentย 

This candidate continuously enhances their skill set through hands-on research, collaborative grant writing ๐Ÿ’ผ, and academic publishing ๐Ÿ“š. They lead cutting-edge projects using Python, TensorFlow, PyTorch, and simulation tools like Simpy and Pyomo ๐Ÿ–ฅ๏ธ. Their development includes teaching graduate-level machine learning courses ๐Ÿ‘จโ€๐Ÿซ, engaging in high-impact conferences like ICIS and AAMAS ๐Ÿ›๏ธ, and working with institutions like EWI. Industry collaborations include EV charging systems and sustainable logistics ๐Ÿš›๐Ÿ”‹. Their commitment to sustainability, innovation, and smart city solutions ๐ŸŒ‡ positions them as a future leader in technology-driven operations management.

Research Focusย 

Their research centers on smart mobility ๐Ÿš—โšก, energy systems ๐Ÿ”‹๐ŸŒ, and climate-conscious technologies ๐ŸŒฑ. They design agent-based simulations and deep learning models ๐Ÿง  to manage shared autonomous fleets and EV charging. Key areas include dynamic fleet pricing, ride-hailing, digital twins of mobility networks ๐ŸŒ, and predictive analytics for load scheduling. They bridge theory and application by leveraging real-world data from European cities ๐Ÿ™๏ธ. Using advanced optimization (GA, MPC, RL) and simulation, their work contributes to more sustainable urban ecosystems. Their core mission is to build data-driven, adaptive platforms for smarter, greener cities. ๐ŸŒ†๐Ÿ“ˆ

Awards & Honorsย 

Recognized for academic excellence and innovation ๐Ÿ†, they ranked in the top 5% during their M.Sc. and top 10% in their B.Sc. programs ๐ŸŽ“. They earned a competitive research scholarship from the Institute of Energy Economics at the University of Cologne ๐Ÿ’ก and co-led multiple successful EU research grant proposals ๐ŸŒ. Their work has been presented at top-tier conferences like ICIS, ECIS, and WITS ๐Ÿ›๏ธ. Theyโ€™ve also made an impact through teaching awards and invitations to speak on sustainability in mobility and energy systems ๐Ÿš€. Their excellence extends to both academia and industry collaborations. ๐Ÿ‘จโ€๐Ÿ”ฌ๐Ÿ“Š

Publication Top Notes

1.Ahadi, R., Ketter, W., Collins, J., & Daina, N. (2023).
“Cooperative Learning for Smart Charging of Shared Autonomous Vehicle Fleets.”
Transportation Science, 57(3), 613โ€“630.
๐Ÿ” Summary: This study presents a cooperative learning framework for optimizing electric vehicle (EV) charging across shared autonomous vehicle fleets. The model integrates real-time learning with coordination strategies to improve efficiency, grid stability, and user satisfaction.

2.Khalilzadeh, M., Neghabi, H., & Ahadi, R. (2023).
“An Application of Approximate Dynamic Programming in Multi-Period Multi-Product Advertising Budgeting.”
Journal of Industrial & Management Optimization, 19(1).
๐Ÿ” Summary: This paper develops an approximate dynamic programming approach to optimize advertising budgets over time for multiple products. It accounts for intertemporal trade-offs and uncertain returns, showcasing the method’s superiority to static approaches.

3.Yazdi, L., Ahadi, R., & Rezaee, B. (2019).
“Optimal Electric Vehicle Charging Station Placing with Integration of Renewable Energy.”
15th Iran International Industrial Engineering Conference (IIIEC), 47โ€“51.
๐Ÿ” Summary: This conference paper investigates optimal site selection for EV charging stations using a multi-objective model that includes renewable energy generation and urban demand forecasting.

Conclusion

R. Ahadi exemplifies the qualities of a future-leading scholar with impactful, sustainable, and innovative contributions to operations management and intelligent systems. Their work directly contributes to the global challenge of building greener, smarter urban ecosystemsโ€”making them highly deserving of the Best Researcher Award. ๐ŸŒ๐Ÿ†

 

Jaecheol Ha | Computer Science | Best Researcher Award

Prof .ย  Jaecheol Ha | Computer Science | Best Researcher Award

Professor at Hoseo University , South Korea

Professor Jaecheol Ha is a seasoned academic with a Ph.D. in Electronics Engineering from Kyungpook National University and over 25 years of research and teaching experience. Currently a full professor at Hoseo University, he has also held academic positions at Korea Nazarene University and was a visiting researcher at Purdue University, USA. His research focuses on critical areas such as AI security, mobile network security, hardware security, and side-channel attacksโ€”fields of growing importance in today’s digital world. As the honorary president of the Korea Institute of Information and Cryptography (KIISC), he demonstrates recognized leadership in the cybersecurity research community. While his academic background and research interests are highly relevant, more information on his publication record, research impact, and mentorship contributions would further strengthen his case. Nonetheless, based on the available information, Professor Ha presents a strong and credible profile for the Best Researcher Award, particularly in the domain of cybersecurity.

Professional Profileย 

Education๐ŸŽ“

Professor Jaecheol Ha has a solid academic foundation in electronics engineering, having earned his Bachelorโ€™s (BE) in 1989, Masterโ€™s (ME) in 1993, and Ph.D. in 1998 from Kyungpook National University in the Republic of Korea. His progression through all three degrees at a single institution reflects a consistent and focused commitment to his field of study. Kyungpook National University is recognized for its strong engineering programs, providing him with a rigorous education and research training environment. His doctoral studies likely laid the groundwork for his later specialization in areas such as AI security and hardware-based cryptographic methods. This strong educational background has supported his successful academic career, enabling him to contribute meaningfully to research and teaching. His education not only equipped him with deep technical knowledge but also prepared him to take on leadership roles in academic and research institutions, both domestically and internationally.

Professional Experience๐Ÿ“

Professor Jaecheol Ha has extensive professional experience spanning over two decades in academia and research. He is currently a full professor in the Division of Computer Engineering at Hoseo University in Asan, Republic of Korea, where he plays a key role in teaching and research. Prior to this, from 1998 to 2006, he served as a professor in the Department of Information and Communication at Korea Nazarene University in Cheonan. His academic career reflects a strong commitment to education and research in the fields of computer engineering and cybersecurity. In 2014, he broadened his international experience by working as a visiting researcher at Purdue University in the United States, further enhancing his global academic perspective. In addition to his teaching and research roles, he currently serves as the honorary president of the Korea Institute of Information and Cryptography (KIISC), a position that highlights his leadership and influence in the Korean cybersecurity research community.

Research Interest๐Ÿ”Ž

Professor Jaecheol Haโ€™s research interests lie in the critical and rapidly evolving field of cybersecurity, with a focus on AI security, mobile network security, hardware security, and side-channel attacks. His work addresses some of the most pressing challenges in digital security, particularly as emerging technologies like artificial intelligence and mobile communication continue to expand. By exploring vulnerabilities in hardware and communication systems, as well as developing methods to protect against side-channel attacks, his research contributes to building more resilient and secure digital infrastructures. His interest in AI security reflects a forward-thinking approach, recognizing the increasing integration of AI in sensitive systems and the corresponding need for robust protective measures. Through his work, Professor Ha seeks to bridge theoretical understanding with practical applications, providing solutions that can be implemented in real-world systems. His research not only supports academic advancement but also contributes to national and global efforts to strengthen cybersecurity.

Award and Honor๐Ÿ†

Professor Jaecheol Ha has received recognition for his contributions to the field of cybersecurity through his leadership role as the honorary president of the Korea Institute of Information and Cryptography (KIISC). This prestigious position reflects his respected status within the academic and research communities, as well as his long-standing commitment to advancing knowledge in information security. While specific awards or honors are not listed, his appointment to such a significant role within a national institute suggests a high level of trust and acknowledgment by his peers. It highlights his influence in shaping research directions and policies in cryptography and cybersecurity in Korea. His professional journey, including his international research collaboration at Purdue University, also indicates recognition of his expertise beyond national boundaries. These honors affirm his impact as a leader and researcher, underscoring his suitability for further accolades such as the Best Researcher Award in his field of specialization.

Research Skill๐Ÿ”ฌ

Professor Jaecheol Ha possesses a wide range of research skills that are crucial for tackling complex problems in the field of cybersecurity. His expertise spans several critical areas, including AI security, mobile network security, hardware security, and side-channel attacks. With a deep understanding of both theoretical and practical aspects of these fields, he is skilled at identifying vulnerabilities in systems and developing innovative solutions to mitigate them. His ability to bridge the gap between cutting-edge research and real-world applications demonstrates his strong problem-solving capabilities. Additionally, his international research experience, particularly as a visiting researcher at Purdue University, indicates a high level of adaptability and collaboration in global research environments. His leadership as honorary president of the Korea Institute of Information and Cryptography (KIISC) further highlights his ability to mentor, guide, and foster collaboration among researchers, strengthening his research skills in both individual and team-based contexts.

Conclusion๐Ÿ’ก

Professor Jaecheol Ha appears to be a well-qualified and experienced researcher with a strong focus on cybersecurity, leadership experience, and international exposure. These factors support his eligibility for a Best Researcher Award, especially if the focus is on long-term contribution and domain impact.

However, to make a fully confident endorsement, it would be ideal to see quantitative evidence of research excellence โ€” such as high-impact publications, citations, or funded projects. If such data exists and supports the narrative, then he is a strong and suitable candidate for this award.

Publications Top Notedโœ

  1. Title: SSIM-Based Autoencoder Modeling to Defeat Adversarial Patch Attacks
    Authors: Seungyeol Lee, Seongwoo Hong, Gwangyeol Kim, Jaecheol Ha
    Year: 2024
    Citations: 1
  2. Title: Implementation of Disassembler on Microcontroller Using Side-Channel Power Consumption Leakage
    Authors: Daehyeon Bae, Jaecheol Ha
    Year: 2022
    Citations: 6
  3. Title: Deep Learning-based Attacks on Masked AES Implementation
    Authors: Daehyeon Bae, Jongbae Hwang, Jaecheol Ha
    Year: 2022
    Citations: 1
  4. Title: Performance Metric for Differential Deep Learning Analysis
    Authors: Daehyeon Bae, Jaecheol Ha
    Year: 2021
    Citations: 26

 

Dr Charles Pioger | Orthopaedic Surgery | Best Researcher Award

Dr Charles Pioger | Orthopaedic Surgery | Best Researcher Award

Medical Doctor at Ambroise Parรฉ Universitary Hospital , France

Charles Pioger, born on August 13, 1991, is a French orthopedic surgeon based in Paris. With extensive training and a strong research focus, he is dedicated to advancing the field of orthopedic surgery. ๐Ÿ“

Profile

Scopus

Education ๐ŸŽ“

Charles completed his medical graduation at the University of Lyon (2009-2015) and further specialized with a Post Graduation in Orthopedic Surgery at the University of Paris (2015-2021). His PhD studies are ongoing at the University of Toulouse III, focusing on the biological aspects of orthopedic treatments.

Experience ๐Ÿ’ผ

He has held various prestigious positions in orthopedic surgery, including his current role at the University Hospital of Ambroise-Parรฉ since November 2022. His fellowship experiences include clinical and research roles in Luxembourg and expertise in sports medicine and knee surgery.

Research Interest ๐Ÿ”ฌ

Charles’s research primarily focuses on sports injuries, knee reconstruction, and the risk of septic arthritis in professional athletes. His work combines clinical practice with innovative research methodologies to enhance patient outcomes. ๐Ÿ“Š

Award ๐Ÿ…

He was awarded the Silver Medal with “Very Honorable Mention” for his doctoral thesis, demonstrating his commitment to excellence in research and clinical practice.

Teaching Field ๐Ÿ“š

From 2017 to 2022, Charles taught anatomy and arthroscopy to surgical residents, fostering the next generation of orthopedic surgeons through his educational efforts. ๐Ÿ‘จโ€๐Ÿซ

Research Focus ๐Ÿ”

His current research focuses on the risk factors associated with septic arthritis after anterior cruciate ligament reconstruction, utilizing both retrospective analyses and literature reviews to guide clinical practices.

Future Focus Contributions ๐Ÿš€

Charles aims to contribute to interdisciplinary collaborations in orthopedic research, enhancing the integration of new technologies and methodologies in clinical practice to further improve patient care and surgical outcomes. ๐ŸŒ

Top Noted Publications

  • Ibaรฑez, M. et al. (2024). Nonanatomic Posteromedial Bundle Augmentation of the Posterior Cruciate Ligament after Hyperextension Trauma. Arthroscopy Techniques.
  • Pioger, C. et al. (2024). Secondary Meniscectomy Rates and Risk Factors for Failed Repair of Ramp Lesions Performed at the Time of Primary ACL Reconstruction: An Analysis of 1037 Patients From the SANTI Study Group. American Journal of Sports Medicine, 52(8), pp. 1944โ€“1951.
  • Farinelli, L. et al. (2024). Increased Intra-Articular Internal Tibial Rotation Is Associated With Unstable Medial Meniscus Ramp Lesions in ACL-Injured Athletes: An MRI Matched-Pair Comparative Study. Arthroscopy, Sports Medicine, and Rehabilitation.
  • Siboni, R. & Pioger, C. et al. (2024). Presentation of an intraosseous suspensory fixation technique for pediatric and adult ACL reconstruction. Orthopaedics and Traumatology: Surgery and Research.
  • Siboni, R. & Pioger, C. et al. (2024). Presentation of an intra-osseous suspensory fixation technique for pediatric and adult ACL reconstruction. Revue de Chirurgie Orthopedique et Traumatologique.
  • Lutz, C. et al. (2024). Combined ACLR and lateral extra-articular tenodesis with a continuous iliotibial band autograft is a viable option in a population of athletes who participate in pivoting sports. Knee Surgery, Sports Traumatology, Arthroscopy.
  • Sonnery-Cottet, B. et al. (2024). Incidence of and Risk Factors for Arthrogenic Muscle Inhibition in Acute Anterior Cruciate Ligament Injuries: A Cross-Sectional Study and Analysis of Associated Factors From the SANTI Study Group. American Journal of Sports Medicine.