Wenbo Shen | Computer Science and Artificial Intelligence | Best Researcher Award

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Assoc. Prof. Dr. Wenbo Shen | Computer Science and Artificial Intelligence | Best Researcher Award

Zhejiang University | China

Dr. Wenbo Shen is a tenured Associate Professor at the College of Computer Science and Technology, Zhejiang University. He is a highly regarded researcher in computer software and system protection, with expertise in program analysis, operating system security, and energy-efficient system defense. With a career spanning academia and industry, Dr. Shen has established himself as an innovative scholar whose work has advanced the field of computer security on a global scale.

Professional Profile

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Education

Dr. Wenbo Shen earned his Ph.D. in Computer Science from North Carolina State University, where his dissertation focused on wireless security and physical layer signal design under the supervision of distinguished professors. Prior to this, he obtained his Bachelor of Science degree in Software Engineering from the Harbin Institute of Technology, graduating in the top tier of his class. This solid academic foundation has shaped his excellence in research and teaching.

Experience

Dr. Wenbo Shen’s professional journey reflects a balance of academic leadership and industrial innovation. He began his career as a Senior Research Scientist at Samsung Research America, where he contributed to advanced security solutions for operating systems. He later joined Zhejiang University, first as an Assistant Professor and then progressing to a tenured Associate Professor. His teaching and supervision experience has nurtured the next generation of scholars, while his leadership in funded research projects has strengthened collaborations between academia and industry.

Research Interest

Dr. Wenbo Shen’s research focuses on protecting computer software and systems through advanced program analysis techniques. His contributions span detecting software bugs in major operating systems such as Linux, FreeBSD, and Fuchsia, while also developing lightweight protection mechanisms for mobile systems, containerized environments, and edge computing. He is particularly known for creating resource- and energy-friendly defense strategies, bridging theoretical innovation with practical application in real-world computing systems.

Awards

Dr. Wenbo Shen has been recognized with multiple Distinguished Paper Awards from top international security conferences, including the European Symposium on Research in Computer Security, the Annual Computer Security Applications Conference, ACM Asia Conference on Computer and Communications Security, and the Network and Distributed System Security Symposium. These honors highlight the significance and impact of his research contributions in advancing secure computing.

Publication

Dr. Wenbo Shen has contributed extensively to high-impact journals and conferences in computer security, with his works widely cited by international researchers.

  • Title: Hypervision across worlds: Real-time kernel protection from the arm trustzone secure world
    Published on: 2014
    Citation: 400

  • Title: SKEE: A lightweight Secure Kernel-level Execution Environment for ARM
    Published on: 2016
    Citation: 126

  • Title: Ally friendly jamming: How to jam your enemy and maintain your own wireless connectivity at the same time
    Published on: 2013
    Citation: 101

  • Title: {PeX}: A permission check analysis framework for linux kernel
    Published on: 2019
    Citation: 98

  • Title: Is link signature dependable for wireless security?
    Published on: 2013
    Citation: 75

  • Title: Ptrix: Efficient hardware-assisted fuzzing for cots binary
    Published on: 2019
    Citation: 68

  • Title: NORAX: Enabling execute-only memory for COTS binaries on AArch64
    Published on: 2017
    Citation: 65

Conclusion

Dr. Wenbo Shen’s career reflects excellence in scholarship, innovation in security research, and dedication to advancing computer system protection. His pioneering contributions in operating system defense, his recognition through prestigious international awards, and his consistent high-impact publications make him a deserving nominee for the Best Researcher Award. His work continues to influence the field globally, shaping both academic research and practical applications in secure computing.

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

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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.

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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.

Souhail Dhouib | Computer Science | Best Researcher Award

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Prof. Souhail Dhouib | Computer Science | Best Researcher Award

Higher Institute of Industrial Management of Sfax, University of Sfax | Tunisia

Prof. Souhail Dhouib is a globally recognized expert in Artificial Intelligence and Operations Research, proudly ranked among the World’s Top 2% Scientists by Stanford University and Elsevier. Notably, he holds the 69th position worldwide in the discipline of Metaheuristics according to ScholarGPS. As the inventor of the revolutionary “Dhouib-Matrix” AI optimization techniques, Prof. Dhouib has significantly advanced intelligent decision-making tools across multiple disciplines. He is also an acclaimed keynote speaker, international coordinator, editorial board member, and software industry pioneer. With an active academic and entrepreneurial spirit, he bridges the gap between theory and application in AI-driven optimization.

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Strengths for the Awards✨

Prof. Souhail Dhouib is globally recognized as one of the World’s Top 2% Scientists in both Artificial Intelligence and Operations Research, as listed by Stanford University and Elsevier. His reputation is further underscored by his ranking as the 69th best researcher in Metaheuristics according to ScholarGPS. A true pioneer, Prof. Dhouib is the inventor of the Dhouib-Matrix—a suite of novel optimization methods that includes original heuristics, metaheuristics, and optimal algorithms widely applied to path planning, supply chain, and fuzzy logic systems.

With over twenty years of industrial and academic experience, he demonstrates unparalleled versatility—serving as a professor, AI developer, operations researcher, business consultant, and software entrepreneur. His contribution to real-world AI applications is reflected in his significant publication record in top-tier journals, his keynote roles in leading international conferences, and multiple Best Researcher Awards in 2023 and 2025 across diverse global platforms.

🎓 Education

Prof. Dhouib earned his Ph.D. in Quantitative Methods, focusing on Artificial Intelligence, Optimization, and Decision Sciences from the Faculty of Management and Economic Sciences, University of Sfax, Tunisia (2004–2009). He previously completed a Master’s in Operations Research and Production Management (2001–2003) and a Bachelor’s in Management Information Systems (1992–1996) at the same institution. His solid academic foundation laid the groundwork for pioneering new AI methodologies.

🧪 Experience

Currently serving as a Full Professor at the Higher Institute of Industrial Management, University of Sfax, Tunisia since 2017, Prof. Dhouib boasts over two decades of experience in academia, research, consulting, and business software development. He has taught at prestigious universities in Tunisia and Saudi Arabia and served as Financial Director at ATID and Vice President of TORS. Additionally, he’s a certified lead auditor in ISMS and QMS and an expert in ERP systems, including SAP S/4HANA. Prof. Dhouib has evaluated research for the Italian Ministry of University and Research and managed companies focused on intelligent software solutions.

🧠 Research Interests On Computer Science

Prof. Dhouib’s research lies at the intersection of Artificial Intelligence, Operations Research, Metaheuristics, Decision Science, and Optimization. His core innovation, the “Dhouib-Matrix,” has led to the development of cutting-edge heuristics and metaheuristics for complex problems like transportation, scheduling, and robotics path planning. He is deeply involved in logistics, supply chain modeling, ERP systems, and intelligent decision-support systems, pushing boundaries in automated and cognitive computing applications.

🏆 Awards

Prof. Dhouib’s innovative work has earned him numerous international recognitions:

  •  Certificate of Excellence, Best Researcher Award (8th International Young Scientist Awards, June 2023)

  •  Best Researcher Award (7th Global Research Awards on AI & Robotics, May 2023)

  •  Best Researcher Award (6th International Research Awards on CAD in Mechanical Engineering, June 2023)

  •  Best Researcher Award (21st World Top Scientists Awards, April 2025)
    These accolades underscore his transformative contributions to the fields of AI and Optimization.

📚 Publications

  • Optimization of travelling salesman problem on single valued triangular neutrosophic number using dhouib-matrix-TSP1 heuristic
    Author(s): S. Dhouib
    Year: 2021
    Cited by: 65

  • Solving the Single-Valued Trapezoidal Neutrosophic Transportation Problems through the Novel Dhouib-Matrix-TP1 Heuristic
    Author(s): S. Dhouib
    Year: 2021
    Cited by: 39

  • A new column-row method for traveling salesman problem: the dhouib-matrix-TSP1
    Author(s): S. Dhouib
    Year: 2021
    Cited by: 30

  • Dhouib-Matrix-TSP1 method to optimize octagonal fuzzy travelling salesman problem using α-cut technique
    Author(s): M. Miledi, S. Dhouib, T. Loukil
    Year: 2021
    Cited by: 29

  • Single valued trapezoidal neutrosophic travelling salesman problem with novel greedy method: the dhouib-matrix-TSP1 (DM-TSP1)
    Author(s): S. Dhouib, S. Broumi, M. Lathamaheswari
    Year: 2021
    Cited by: 27

  • Solving the trapezoidal fuzzy transportation problems via new heuristic: the Dhouib-Matrix-TP1
    Author(s): S. Dhouib
    Year: 2021
    Cited by: 26

  • Multi-start constructive heuristic through descriptive statistical metrics: the Dhouib-Matrix-4 metaheuristic
    Author(s): S. Dhouib
    Year: 2024
    Cited by: 25

  • Adaptive iterated stochastic metaheuristic to optimize holes drilling path in manufacturing industry: The Adaptive-Dhouib-Matrix-3 (A-DM3)
    Author(s): S. Dhouib, A. Zouari
    Year: 2023
    Cited by: 25

  • Neutrosophic triangular fuzzy travelling salesman problem based on dhouib-matrix-TSP1 heuristic
    Author(s): S. Dhouib
    Year: 2021
    Cited by: 25

  • An intelligent assignment problem using novel heuristic: The dhouib-matrix-ap1 (dm-ap1): Novel method for assignment problem
    Author(s): S. Dhouib
    Year: 2022
    Cited by: 24

  • Minimizing the total distance for the supply chain problem using dhouib-matrix-TSP2 method
    Author(s): S. Dhouib
    Year: 2021
    Cited by: 24

  • Optimizing the trapezoidal fuzzy travelling salesman problem through dhouib-matrix-TSP1 method based on magnitude technique
    Author(s): S. Dhouib
    Year: 2021
    Cited by: 24

  • Novel Metaheuristic Based on Iterated Constructive Stochastic Heuristic: Dhouib‐Matrix‐3 (DM3)
    Author(s): S. Dhouib
    Year: 2021
    Cited by: 23

  • Stochastic column-row method for travelling salesman problem: the dhouib-matrix-TSP2
    Author(s): S. Dhouib
    Year: 2021
    Cited by: 22

✅ Conclusion

🌟 Prof. Souhail Dhouib stands as a visionary in AI and Operations Research, seamlessly blending theoretical innovation with real-world application. His creation of the Dhouib-Matrix paradigm and its wide adoption in optimization problems across industries underscore his global influence. Through outstanding publications, impactful teaching, and trailblazing awards, Prof. Dhouib continues to lead the frontier of intelligent systems and computational research. His candidacy for prestigious research honors is both timely and richly deserved.