Ahlem Aboud | Computer Science | Research Excellence Award

Dr. Ahlem Aboud | Computer Science | Research Excellence Award

Université de Picardie Jules Verne | France

Dr. Ahlem Aboud is a researcher in Artificial Intelligence and bio-inspired optimization, with a strong focus on dynamic and multi-objective optimization problems. Her research integrates population-based metaheuristics such as Particle Swarm Optimization, Crow Search Algorithm, and Whale Optimization Algorithm with machine learning and deep learning frameworks. According to Scopus, she has published 5 indexed research articles, received 59 citations, and holds an h-index of 4. Her work is published in high-impact venues including Applied Soft Computing, Applied Sciences, and IEEE flagship conferences. She has contributed novel dynamic Pareto bi-level optimization strategies applied to feature selection, big data fusion, and intelligent decision systems. Her research advances adaptive optimization for complex, evolving environments and interdisciplinary AI applications.

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Featured Publications


DPb-MOPSO: a dynamic pareto bi-level multi-objective particle swarm optimization algorithm

– A. Aboud, N. Rokbani, R. Fdhila, et al. · Applied Soft Computing, 2022 · Cited by 36


MOPSO for dynamic feature selection problem based big data fusion

– A. Aboud, R. Fdhila, A.M. Alimi · IEEE SMC, 2016 · Cited by 15


A Distributed Bi-behaviors Crow Search Algorithm for Dynamic Multi-Objective Optimization and Many-Objective Optimization

– A. Aboud, N. Rokbani, S. Mirjalili, A. Alimi · Applied Sciences, 2021 · Cited by 8


A novel Dynamic Pareto bi-level Multi-Objective Particle Swarm Optimization (DPb-MOPSO) algorithm

– A. Aboud, R. Fdhila, A. Hussain, et al. · Authorea Preprints, 2023 · Cited by 5

Dongheon Lee | Computer Science and Artificial Intelligence | Best Researcher Award

Prof. Dongheon Lee | Computer Science and Artificial Intelligence | Best Researcher Award

Seoul National University College of Medicine | South Korea

Prof. Dongheon Lee is a researcher in medical image analysis and artificial intelligence, with a strong focus on deep learning–based clinical decision support systems. His work spans medical imaging, computer vision, bio signal analysis, and intelligent healthcare systems, addressing real-world diagnostic and interventional challenges. According to Scopus, he has authored 29 peer-reviewed publications, received 489 citations, and holds an h-index of 11, reflecting consistent scholarly impact. His research outputs appear in high-impact journals such as Radiology, Gastroenterology, Radiology: Artificial Intelligence, IEEE Journal of Biomedical and Health Informatics, and Computers in Biology and Medicine. His work demonstrates translational relevance, integrating methodological innovation with clinical applicability across radiology, endoscopy, and surgical intelligence.

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View Scopus Profile  View Google Scholar Profile  View ORCID Profile

Featured Publications


Evaluation of surgical skills during robotic surgery by deep learning-based multiple surgical instrument tracking

– D. Lee, HW Yu, H Kwon, et al. · Journal of Clinical Medicine, 2020 · Cited by 117


CT-based deep learning model to differentiate invasive pulmonary adenocarcinomas appearing as subsolid nodules

– H Kim, D. Lee, WS Cho, et al. · European Radiology, 2020 · Cited by 60


Deep learning to optimize candidate selection for lung cancer CT screening

– JH Lee, D. Lee, MT Lu, et al. · Radiology, 2022 · Cited by 36

Singanamalla Vijayakumar | Computer Science and Artificial Intelligence | Excellence in Innovation Award

Dr. Singanamalla Vijayakumar | Computer Science and Artificial Intelligence | Excellence in Innovation Award

Associate Professor | GRIET | India

Dr. S. Vijayakumar is a distinguished academician and researcher in the domain of Computer Science and Engineering with over 11 years of robust teaching and research experience. He has consistently demonstrated innovation and leadership across reputed institutions including VIT University, Galgotias University, and Jain University. His work in image processing, soft computing, and big data analytics stands at the confluence of academic excellence and real-world relevance. Passionate about societal problem-solving through research, Dr. Vijayakumar is a visionary aiming to integrate research, education, and innovation to foster impactful developments in emerging technologies.

Author Profile👤

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Strengths for the Awards✨

Dr. S. Vijayakumar exemplifies a strong candidate for the Excellence in Innovation Award through his interdisciplinary research, significant publication track record, and a demonstrated ability to transform research into practical innovation. With over 11.5 years of academic and research experience, he has extensively contributed to image processing, soft computing, big data stream analytics, and real-time computing, with an emphasis on Synthetic Aperture RADAR (SAR) image despeckling and satellite image analysis.

Some standout strengths include:

  • Rich publication portfolio: He has published in numerous SCI, Scopus, and Springer journals with impact factors ranging from 1.0 to over 5.2, especially on topics like SAR image noise reduction, oil spill detection, and energy-efficient WSN protocols.

  • Patents and Innovation: He has filed patents like “Predicting Micro-Enterprise Failures Using Machine Learning Techniques” and is actively pursuing more with international relevance.

  • Global Collaborations: Notable engagement with international scholars and editorial boards, reflecting his global reach and thought leadership.

  • Research-Driven Teaching: Integrates research into pedagogy, mentoring students through project-based and ABET-aligned learning models.

  • Forward-looking Research Agenda: A visionary plan focusing on high-impact publications, product development, patent filings, and collaborations with research-focused institutions like ISRO and NASA.

  • Multi-domain Expertise: From image analysis to AI-IoT integration, his cross-disciplinary approach fosters innovation beyond conventional boundaries.

🎓 Education

Dr. Vijayakumar holds a Ph.D. in Computer Science and Engineering from VIT University, Vellore (2014–2018), where he specialized in soft computing techniques for speckle noise removal in SAR images. He earned his M.Tech. and B.Tech. in Computer Science and Engineering from Jawaharlal Nehru Technological University, Anantapur (2011–2013 and 2007–2011, respectively). His educational foundation is characterized by a consistent focus on computational intelligence, real-time systems, and data-driven innovation.

💼 Experience

With more than 11 years and 3 months of academic and research experience, Dr. Vijayakumar has served as an Associate Professor at Gokaraju Rangaraju Institute of Engineering and Technology since February 2024. His professional journey includes significant leadership roles such as Head of the CSE (Cyber Security) Department at the Institute of Aeronautical Engineering and various teaching roles at Jain Deemed University, Galgotias University, and VIT Vellore. He has also been an integral contributor to institutional accreditations like NAAC, NBA, and ABET.

🔬 Research Interests On Computer Science and Artificial Intelligence

Dr. Vijayakumar’s research interests lie in the domains of Image Processing, Soft Computing, Computer Vision, Big Data Stream Computing, IoT, Real-Time Data Analytics, and Fog Computing. His ongoing projects focus on developing efficient computational models for satellite image analysis, urban monitoring, and societal problem-solving. He envisions multi-university research collaborations and high-impact patents derived from his research.

🏅 Awards

Dr. Vijayakumar has received several prestigious recognitions for his contributions, including:

  • Research Award by VIT University (2014–2018)

  • Best Researcher Award at the 2nd International Research Awards on Science, Health and Engineering (2020)

  • Best Researcher Award at the 8th International Scientist Awards on Engineering, Science and Medicine (2020)

  • Outstanding Scientist Award at the 11th International Scientist Awards on Engineering, Science, and Medicine (2020)
    These accolades reflect his consistent commitment to innovation, quality research, and academic leadership.

📚 Publications

  • Internet of Things–based pharmaceutics data analysis
    Authors: P. Dhingra, N. Gayathri, S.R. Kumar, V. Singanamalla, C. Ramesh, …
    Published in: Emergence of Pharmaceutical Industry Growth with Industrial IoT Approach, pp. 85–131
    Year: 2020
    Citations: 40

  • Reliable and energy‐efficient emergency transmission in wireless sensor networks
    Authors: V. Singanamalla, R. Patan, M.S. Khan, S. Kallam
    Published in: Internet Technology Letters, 2(2), e91
    Year: 2019
    Citations: 20

  • Emergence of Pharmaceutical Industry Growth with Industrial IoT Approach
    Authors: V.E. Balas, V.K. Solanki, R. Kumar
    Published by: Academic Press
    Year: 2019
    Citations: 15

  • Web semantics for textual and visual information retrieval
    Authors: A. Singh, N. Dey, A.S. Ashour, V. Santhi
    Published by: IGI Global
    Year: 2017
    Citations: 9

  • Neuro-fuzzy approach for speckle noise reduction in SAR images
    Authors: V. Singanamalla, S. Vaithyanathan
    Published in: International Conference on Recent Trends in Image Processing and Pattern Recognition
    Year: 2016
    Citations: 5

  • Computational Techniques of Oil Spill Detection in Synthetic Aperture Radar Data: Review Cases
    Author: S. Vijayakumar
    Published in: Recent Oil Spill Challenges That Require More Attention
    Year: 2023
    Citations: 3

  • Recent Trends in Image Processing and Pattern Recognition: First International Conference, RTIP2R 2016, Bidar, India, December 16–17, 2016, Revised Selected Papers
    Editors/Contributors: K.C. Santosh, M. Hangarge, V. Bevilacqua, A. Negi
    Published by: Springer
    Year: 2017
    Citations: 2

  • Semantic web-based framework for scientific workflows in e-science
    Authors: S. Vijayakumar, N. Dasari, B. Bhushan, R. Reddy
    Published in: Web Semantics for Textual and Visual Information Retrieval, pp. 187–202
    Year: 2017
    Citations: 1

  • Role of social networking sites in enhancing teaching environment
    Authors: S. Vijayakumar, V.R. Thakare, S.B. Bhushan, V. Santhi
    Published in: Web Semantics for Textual and Visual Information Retrieval, pp. 227–243
    Year: 2017
    Citations: 1

🔚 Conclusion

Dr. S. Vijayakumar exemplifies the spirit of the Excellence in Innovation Award through his unwavering dedication to technological advancement, interdisciplinary research, and impactful teaching. His research has not only added value to academia but also translated into real-world applications such as coastal monitoring and emergency communication. With a strong portfolio of international publications, research leadership, and innovation-driven initiatives, he continues to inspire the next generation of engineers and researchers. His nomination for this award is a testament to his remarkable journey and futuristic vision.