Amol Bhagat | Big Data Security | Best Researcher Award

9
Research Award Review

How would you rate the nominee's research excellence?

Dr. Amol Bhagat | Big Data Security | Best Researcher Award

Manager Business Incubation at Prof Ram Meghe College of Engineering and Management, Badnera Amravati | India

Dr. Amol Prakash Bhagat is an accomplished academic and innovator serving as Assistant Professor, Manager–Business Incubator, and Programme Coordinator–IEDC at Ram Meghe College of Engineering & Management, Badnera, Amravati. With over 18 years of teaching experience, he has made significant contributions in Data Science, Artificial Intelligence, Machine Learning, Digital Signal Processing, and Medical Image Processing. Dr. Bhagat has authored 100+ publications, filed 38 patents (7 granted), published 10 books, and guided numerous postgraduate and doctoral scholars. He has secured multiple high-value research grants from DST, NITI Aayog, and MSME, and is recognized with prestigious awards such as the Start-Up NIDHI Award (DST EDII) and IETE Higher Technical Proficiency Award. As a mentor for initiatives like Smart India Hackathon and Atal Tinkering Labs, he actively fosters innovation and entrepreneurship.

Professional Profile:

Education: 

Dr. Amol Prakash Bhagat holds a Ph.D. in Information Technology, complemented by an M.Tech in Computer Science & Engineering and a B.E. in Information Technology. His strong academic foundation in computing, engineering, and advanced research underpins his extensive contributions to the fields of data science, artificial intelligence, and digital signal processing.

Experience:

With over 18 years of teaching experience and 8 years dedicated to research, Dr. Bhagat has successfully guided 25 M.E./M.Tech students to completion and serves as a Ph.D. supervisor at Sant Gadge Baba Amravati University. He has also contributed 1.5 years in the industry, bringing practical expertise to his academic work. Beyond teaching and research, he has held key leadership roles, including Coordinator of the Department of Science and Technology-funded Innovation & Entrepreneurship Development Centre (IEDC), Manager of the MSME Business Incubator, and Nodal Officer for the Atal Ranking of Institutions on Innovation Achievements (ARIIA). His professional service includes active participation as a Technical Programme Committee Member in over 30 international conferences, reviewer for leading publishers such as Elsevier, IEEE, and Springer, Chairperson in 15+ conferences, and delivering more than 150 expert lectures as a resource person.

Research Interest:

Data Science, Artificial Intelligence, Machine Learning, Digital Signal Processing, Soft Computing, Data Analytics, Medical Image Processing, Image Segmentation, Content-Based Image Retrieval, Cybersecurity in Wireless Networks, and Innovation-Driven Entrepreneurship.

Publications Top Noted:

  1. Medical Images: Formats, Compression Techniques and DICOM Image Retrieval – A Survey
    Year: 2012 | Citations: 40

  2. Classification and Analysis of Clustering Algorithms for Large Datasets
    Year: 2015 | Citations: 20

  3. A Detection and Prevention of Wormhole Attack in Homogeneous Wireless Sensor Network
    Year: 2016 | Citations: 19

  4. Six Sigma DMAIC Literature Review
    Year: 2015 | Citations: 19

  5. Design and Development of Systems for Image Segmentation and Content-Based Image Retrieval
    Year: 2012 | Citations: 17

Conclusion:

Dr. Amol Bhagat’s exceptional research productivity, innovation-driven mindset, and proven leadership in big data security and AI applications make him a highly deserving candidate for the Best Researcher Award. His strong patent portfolio, grant acquisition record, and dedication to nurturing talent align perfectly with the award’s vision of recognizing transformative contributions. With expanded international collaborations and global outreach, Dr. Bhagat is poised to further advance the frontiers of data-driven security and innovation, cementing his status as a global leader in the field.

Huy Dinh | Artificial Intelligence | Best Researcher Award

9
Research Award Review

How would you rate the nominee's research excellence?

Mr. Huy Dinh | Artificial Intelligence | Best Researcher Award

Huy Dinh at Stanford University Department of Orthopaedic Surgery | United States

Huy G. Dinh, BS is a physician-scientist in training at the Stanford University School of Medicine, combining expertise in bioengineering, computational modeling, and artificial intelligence to advance medical diagnostics and patient care. His research spans AI-assisted motion analysis, computational hemodynamics, and predictive modeling of musculoskeletal and vascular diseases. A recipient of the Cognitive Scientist Best Researcher Award and the MedScholars Discovery Grant, Mr. Dinh has authored multiple peer-reviewed publications and presented at leading conferences, reflecting a deep commitment to translational research at the intersection of engineering and medicine.

Professional Profile:

Education: 

  • Doctor of Medicine (MD) – Stanford University School of Medicine, Stanford, CA

  • Bachelor of Science in Bioengineering – University of California, Los Angeles (UCLA), Los Angeles, CA

Experience:

Mr. Dinh’s professional journey bridges clinical research, teaching, and emergency medical services. At Stanford’s Ladd Lab, he develops novel AI-driven motion analysis tools for assessing hand function and investigates radiographic patterns to predict osteoarthritis progression. His earlier work at UCLA’s Chien Lab focused on fluid simulations of vascular disease and predictive models for aneurysm progression. Beyond research, he has served as a Teaching Assistant in Orthopaedic Surgery, an EMT providing acute care across Southern California, and a campus leader organizing large-scale cultural and academic events.

Research Interest:

  • Artificial Intelligence in Medicine – AI-assisted motion capture, predictive analytics, and interpretable models for clinical decision-making

  • Computational Hemodynamics – Patient-specific simulations of vascular flow and disease progression

  • Musculoskeletal Imaging – Quantitative radiographic analysis and shape modeling in osteoarthritis

  • Medical Device Development – Integrating engineering principles into novel diagnostic tools

Publications Top Noted:

1. Proof of Concept and Validation of Single-Camera AI-Assisted Live Thumb Motion Capture

  • Year: 2025

2. Examining the Utility of 2D DSA for Carotid Stenosis Hemodynamic Pressure Analysis

  • Year: 2023

3. Image-Derived Metrics Quantifying Hemodynamic Instability Predicted Growth of Unruptured Intracranial Aneurysms

  • Year: 2022

4. Reconstruction of Carotid Stenosis Hemodynamics Based on Guidewire Pressure Data and Computational Modeling

  • Year: 2022

5. Patient-Specific Analyses Reveal Differences in Hemodynamic and Morphological Parameters Between Growing and Stable Unruptured Intracranial Aneurysms

  • Year: 2022

Conclusion:

Mr. Huy Dinh’s pioneering contributions in AI-driven medical diagnostics make him an outstanding candidate for the Best Researcher Award in Artificial Intelligence. His ability to integrate engineering innovation with clinical needs positions him as a transformative figure in the future of personalized medicine. With continued focus on expanding collaborations, translating research into clinical practice, and contributing to the ethical evolution of AI in healthcare, he is poised to make lasting global contributions. His record of excellence and innovation strongly supports his recognition with this award.

Dr. Thomas Kotoulas | Artificial Intelligence Award | Best Researcher Award

Dr. Thomas Kotoulas | Artificial Intelligence Award | Best Researcher Award

Dr. Thomas Kotoulas, Aristotle University of Thessaloniki, Greece, Greece

Dr. Thomas Kotoulas is a renowned physicist specializing in Newtonian dynamics and celestial mechanics. He has built a distinguished career in the study of dynamical systems, particularly the behavior of small bodies in the outer Solar System. He is currently a researcher at the University of Thessaloniki, where he earned his B.Sc. in Physics (1995) and Ph.D. in Physics (2003). Over the years, Kotoulas has become a key figure in the field of celestial mechanics, with numerous publications and contributions to the study of periodic orbits, stability, and resonance dynamics. His expertise extends to inverse problems in Newtonian dynamics and its applications in astronomy. Dr. Kotoulas has been awarded for his excellence as an external reviewer and continues to significantly contribute to the advancement of his research areas.

Professional Profile:

Google Scholar

Scopus

Summary of Suitability for Award:

Dr. Thomas Kotoulas is a strong contender for the Best Researcher Awards. His in-depth expertise, consistent scholarly output, contributions to high-impact research, leadership in projects, and acknowledgment from prestigious journals position him as a leading figure in the field of celestial mechanics. Given his outstanding research achievements and influential role in advancing scientific knowledge, Dr. Kotoulas is undoubtedly deserving of recognition as a top researcher in his field.

🎓Education: 

Dr. Kotoulas completed his B.Sc. in Physics at the Department of Physics at Aristotle University of Thessaloniki (A.U.Th.). He further pursued his postgraduate studies, culminating in a Ph.D. in Physics from the same department in 2003. His doctoral research focused on the dynamical evolution of small bodies in resonant areas within the outer Solar System, for which he received an excellent evaluation. His Ph.D. work was supervised by Professor John D. Hadjidemetriou. In addition to his academic qualifications, Dr. Kotoulas was awarded a fellowship from the National Foundation of Fellowships (Ι.Κ.Υ.) during his doctoral studies, where he specialized in dynamical systems and celestial mechanics. His academic journey was marked by excellence, shaping his future contributions to the scientific community in the fields of celestial mechanics and dynamics.

🏢Work Experience:

Dr. Kotoulas has accumulated extensive experience in the field of celestial mechanics and dynamical systems. He has worked on several significant research projects, including the “Dynamics of the restricted three-body problem and applications in Celestial Mechanics,” which was funded by the Greek Ministry of Education and the European Community. As a post-doctoral researcher, he contributed to the study of retrograde periodic orbits in the restricted three-body problem, focusing on applications in asteroids and the Kuiper Belt. Over the years, he has also served as a reviewer for several esteemed journals, such as “Celestial Mechanics and Dynamical Astronomy,” “Astrophysics and Space Science,” and “Research in Astronomy and Astrophysics.” His academic career is marked by his deep involvement in the application of inverse problems in Newtonian dynamics, which he continues to explore and develop through his research.

🏅Awards:

Dr. Thomas Kotoulas has received several prestigious awards and honors throughout his career. Notably, he was recognized as one of the best external reviewers for the journal “Research in Astronomy and Astrophysics” in 2022, receiving the Outstanding Reviewer Award for his valuable contributions. He also received a letter of recognition from Dr. Fabio Santos, the Publishing Editor of “Astrophysics and Space Science,” for his outstanding work as a reviewer during 2021 and 2022. Furthermore, Dr. Kotoulas was included in the Mathematical Reviews database, where he has written reviews for numerous papers on celestial mechanics. His work has been consistently acknowledged by the scientific community, affirming his expertise in dynamical systems and celestial mechanics. These honors highlight his significant contributions to the field, particularly in the areas of celestial mechanics, dynamics, and inverse problems.

🔬Research Focus:

Dr. Kotoulas’ primary research focus lies in the field of Newtonian dynamics and celestial mechanics, with an emphasis on the restricted three-body problem, orbital stability, and resonance dynamics. His research explores the dynamical evolution of small bodies, particularly in the outer Solar System, and how these bodies behave under the influence of resonances with larger celestial bodies. He specializes in the computation of families of periodic orbits, spectral analysis, and stability/instability in resonance regions. Additionally, Dr. Kotoulas works on inverse problems in Newtonian dynamics, applying them to astronomy and galactic dynamics. His work involves finding generalized force fields from families of orbits, as well as applying these techniques to improve our understanding of the structure and stability of orbital systems. Through his research, Dr. Kotoulas has significantly contributed to advancing theoretical models that describe the motion of celestial bodies and their dynamical interactions.

Publication Top Notes: 

  • “Planar Periodic Orbits in Exterior Resonances with Neptune”
    • Citations: 44
  • “Comparative Study of the 2:3 and 3:4 Resonant Motion with Neptune: An Application of Symplectic Mappings and Low Frequency Analysis”
    • Citations: 43
  • “On the Stability of the Neptune Trojans”
    • Citations: 34
  • “Symmetric and Nonsymmetric Periodic Orbits in the Exterior Mean Motion Resonances with Neptune”
    • Citations: 32
  • “On the 2/1 Resonant Planetary Dynamics–Periodic Orbits and Dynamical Stability”
    • Citations: 31