Sameer Jain | Machine Learning | Best Researcher Award

Dr. Sameer Jain | Machine Learning | Best Researcher Award

Sameer Jain at National Institute of Construction Management and Research: Pune, India.

Dr. Sameer Jain is an accomplished academic and researcher specializing in Industry 4.0 technologies, with strong interdisciplinary expertise spanning IoT, Cloud Computing, AI, Machine Learning, and Construction Technology. With a dynamic career bridging academia, research, and industry collaborations, he has mentored numerous students, guided startups, and led lab setups for next-generation tech domains such as AR/VR, Analytics, BIM, and Drone Technology. Dr. Jain has also served as a key facilitator of institutional collaborations, national-level conferences, and curriculum innovation in digital transformation. His holistic approach to tech-driven pedagogy, project-based learning, and strategic university-industry partnerships positions him as a driving force in transforming management and technology education.

Professional Profile ,

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Education ๐ŸŽ“๐Ÿ“š

  • Ph.D. in Computer Science & Engineering (2024)
    JK Lakshmipat University, Jaipur
    Thesis: IoT-based Resource Management Automation for Building Projects

  • Advanced Certification โ€“ Software Engineering for Cloud, Blockchain & IoT
    IIT Madras & Great Learning

  • M.Tech (Gold Medalist) โ€“ Microelectronics Systems & Embedded Technology
    Jaypee Institute of Information Technology University, Noida

  • PG Diploma in Information Technology Management
    All India Management Association (AIMA), New Delhi

  • PG Diploma in Intellectual Property Rights Management (PDIPRM)
    Narsee Monjee Institute of Management Studies (NMIMS), Mumbai

  • Bachelor of Engineering (B.E.) in Information Technology
    RTM Nagpur University

Professional Experience ๐Ÿง‘โ€๐Ÿซ๐Ÿ’ผ

  • Associate Professor (2012โ€“Present) โ€“ NICMAR University, Pune

    • Designed and taught core Industry 4.0 courses

    • Supervised 50+ postgraduate theses, 40+ undergraduate projects

    • Mentored 3 start-ups including operational venture Design Dixon

    • Conducted MDPs, international conferences, and collaborative research

    • Director Generalโ€™s OSD for administrative coordination and strategic outreach

  • Assistant Professor (NMIMS Mumbai, Quantum Roorkee, JIIT Noida)

    • Courses in Computer Science, Embedded Systems, IT Management

    • Facilitated workshops on Android, CDMA, and Energy Tech

  • Engineer (Delhi Transco Ltd.)

    • Led energy conservation programs and awareness initiatives with Delhi Government, TERI, and MNRE

Research Interest ๐Ÿ”ฌ๐Ÿ“ˆ

  • Industry 4.0 Applications in Management & Infrastructure

  • IoT and Smart Resource Management

  • Cloud and Blockchain in Supply Chain

  • AI/ML for Decision Systems

  • Data Visualization & Predictive Analytics

  • AR/VR and Digital Learning Environments

  • Digital Transformation in Higher Education

Publications Top Noted

  • AHP Analysis for Using Cloud Computing in SCM
    I2CT Conference, 2017

  • Fatigue Detection Based on User Attentiveness
    IEEE ISCON, 2014

  • RFID-Based Materials Tracking for Construction
    IJRES, 2024

  • Entrepreneurship in Construction and Contracting
    IJANS, 2023

  • Machine Learning in Loan Approval Systems
    IJBARI, 2024

Conclusion ๐ŸŒŸ๐ŸŽฏ

Dr. Sameer Jain is highly suitable for the Best Researcher Award in Machine Learning, particularly for his pragmatic, innovation-driven, and educational contributions that blend ML with critical sectors like construction, energy, and digital transformation. His interdisciplinary influence, teaching excellence, and start-up mentorship solidify his reputation as a next-generation research leader.

Dr. Ling Mei | Deep Learning Network | Best Researcher Award

Dr. Ling Mei | Deep Learning Network | Best Researcher Award

Dr. Ling Mei, Wuhan University of Science and Technology, China

Dr. Ling Mei is a distinguished researcher specializing in artificial intelligence, computer vision, and deep learning networks. He holds a Ph.D. in Engineering from Sun Yat-sen University, one of Chinaโ€™s top institutions, and completed a visiting scholar program at the University of British Columbia (UBC), Department of Computer Science, through the National Outstanding Young Researchers Program. Dr. Mei is a tenured faculty member and master’s supervisor, with a prolific research portfolio including 16 SCI/EI journal papers, 7 SCI articles, 3 granted national invention patents, and a software copyright. His innovative LSN-GTDA framework integrates pedestrian movement analysis for urban planning and public safety, emphasizing multimodal uncertainty in trajectory prediction. Recognized as a Provincial Research Talent of China in 2024, Dr. Meiโ€™s groundbreaking contributions position him as a leader in AI-driven solutions for societal challenges. ๐ŸŒŸ๐Ÿ“Š๐Ÿค–

Professional Profile

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Suitability for Award

Dr. Ling Meiโ€™s exceptional contributions to artificial intelligence and computer vision make him an ideal candidate for the Best Researcher Award. His groundbreaking LSN-GTDA framework addresses multimodal uncertainty in pedestrian trajectory prediction, significantly advancing urban planning and public safety strategies. By leveraging symmetrical U-Net networks and a novel thermal diffusion process, Dr. Mei has enhanced uncertainty management and interpretability in AI applications. With 16 SCI/EI journal publications, 7 SCI articles, and multiple national invention patents, his research has had a profound impact on academia and industry. Dr. Meiโ€™s recognition as a Provincial Research Talent of China in 2024 underscores his leadership in the field. His innovative solutions to complex societal challenges demonstrate a deep commitment to advancing AI technologies and their real-world applications. ๐Ÿ†๐Ÿค–๐ŸŒ

Education

Dr. Ling Mei has an exemplary academic background, earning a Ph.D. in Engineering from Sun Yat-sen University in 2021, a top 10 university in China. He further enriched his expertise through a prestigious visiting scholar program at the University of British Columbia (UBC), Department of Computer Science, funded by the National Outstanding Young Researchers Program. During this program, Dr. Mei engaged in cutting-edge research on AI and computer vision, collaborating with global experts. His advanced education has equipped him with a robust foundation in artificial intelligence, deep learning networks, and computer vision, enabling him to address complex challenges in urban planning and public safety. Dr. Meiโ€™s commitment to academic excellence and innovative research highlights his potential to drive advancements in AI-driven technologies. ๐ŸŽ“๐Ÿค–๐Ÿ“š

Experienceย 

Dr. Ling Mei serves as a tenured faculty member and masterโ€™s supervisor, where he mentors the next generation of researchers in artificial intelligence and computer vision. His academic career is complemented by a year-long visiting scholar program at the University of British Columbia (UBC), where he contributed to advanced AI research. Dr. Mei has an impressive record of 16 SCI/EI journal publications, including 7 SCI articles, and holds 3 granted national invention patents, with 3 more patents under review. His innovative research focuses on pedestrian movement analysis and multimodal trajectory prediction, which have practical applications in urban planning and public safety. Dr. Meiโ€™s professional journey reflects his dedication to leveraging AI for societal impact and fostering interdisciplinary collaboration. ๐ŸŒŸ๐Ÿ“Š๐Ÿ”ฌ

Awards and Honorsย 

Dr. Ling Meiโ€™s outstanding contributions to AI and computer vision have earned him prestigious accolades, including recognition as a Provincial Research Talent of China in 2024. This honor highlights his leadership and innovation in addressing complex societal challenges through AI-driven solutions. Dr. Mei was selected for the National Outstanding Young Researchers Program, enabling him to complete a visiting scholar program at the University of British Columbia (UBC), a testament to his exceptional research capabilities. His achievements include 16 SCI/EI journal publications, 7 SCI articles, 3 granted national invention patents, and 1 software copyright, showcasing his commitment to advancing AI technologies. These accolades underscore Dr. Meiโ€™s role as a pioneering researcher making significant contributions to academia and industry. ๐Ÿ…๐Ÿค–๐Ÿ“ˆ

Research Focus

Dr. Ling Meiโ€™s research focuses on advancing artificial intelligence in networking, computer vision, and deep learning networks. His innovative LSN-GTDA framework integrates behavioral and stochastic factors to address multimodal uncertainty in pedestrian trajectory prediction, enhancing urban planning and public safety strategies. Dr. Mei employs symmetrical U-Net networks and a novel thermal diffusion process based on signal and system theory to improve uncertainty management and interpretability. His work bridges the gap between theoretical advancements and practical applications, emphasizing the role of AI in solving real-world challenges. Dr. Meiโ€™s research aims to develop robust, scalable solutions that integrate AI-driven insights into societal systems, ensuring a safer and more efficient future. ๐ŸŒ๐Ÿค–๐Ÿ“Š

Publication Top Notes

  • Illumination-invariance Optical Flow Estimation Using Weighted Regularization Transform
    • Citations: 29
    • Year: 2019
  • More Quickly-RRT: Improved Quick Rapidly-Exploring Random Tree Star Algorithm Based on Optimized Sampling Point with Better Initial Solution and Convergence Rate*
    • Citations: 14
    • Year: 2024
  • From Pedestrian to Group Retrieval via Siamese Network and Correlation
    • Citations: 13
    • Year: 2020
  • Deep Representations Based on Sparse Auto-Encoder Networks for Face Spoofing Detection
    • Citations: 13
    • Year: 2016
  • WLD-TOP Based Algorithm Against Face Spoofing Attacks
    • Citations: 13
    • Year: 2015

 

Milan Milosavljeviฤ‡ | Artificial Intelligence | Best Researcher Award

Milan Milosavljeviฤ‡ | Artificial Intelligence | Best Researcher Award

Prof. Dr. Milan Milosavljeviฤ‡, Vlatacom Institute of High Technologies, Serbia.

Publication profile

Googlescholar

Education and Experience

  • PhD (UB-FEE):ย 1982, specializing in signal processingย ๐ŸŽ“
  • Full Professor (BU-FEE):ย 2003-2016ย ๐Ÿ‘จโ€๐Ÿซ
  • Full Professor (SU):ย 2003-2022ย ๐Ÿซ
  • Visiting Scientist (Cornell University):ย 1987-1988ย ๐ŸŒ
  • Visiting Professor (University Paris XIII):ย 1997ย ๐Ÿ‡ซ๐Ÿ‡ท
  • Special Advisor (Vlatacom Institute):ย 2022-Presentย ๐Ÿ’ผ
  • Mentor:ย Over 30 doctoral and 100+ master’s thesesย ๐ŸŽ“

Suitability For The Award

Prof.Dr. Milan Milosavljeviฤ‡ is a highly accomplished scholar, educator, and innovator whose exceptional contributions to research, academia, and engineering make him a prime candidate for the Best Researcher Award. With a distinguished career spanning decades, he has excelled in teaching, publishing, and advancing cutting-edge fields such as artificial intelligence, signal processing, and information security. His work has profoundly influenced academic institutions, national defense systems, and international collaborations, solidifying his reputation as a leader in his field.

Professional Developmentย 

Milan Milosavljeviฤ‡ has continuously advanced his career through international exposure and collaboration. As a visiting scientist at prestigious institutions like Cornell University and University Paris XIII, he expanded his expertise in signal processing and artificial intelligence. He has also played a pivotal role in shaping the educational landscape of Serbia by mentoring numerous doctoral and master’s students. Milan has contributed to a variety of international projects and committees, enhancing his research capabilities. His professional growth is evident in his extensive academic publishing record and his commitment to the development of information security.ย ๐ŸŒ๐Ÿ“š

Research Focusย 

Awards and Honors

  • Best student of the generation at UB-FEEย ๐ŸŽ“
  • Full Professor, BU-FEE (2003-2016)ย ๐Ÿ‘จโ€๐Ÿซ
  • Mentor of 30 doctoral theses and 100+ master’s thesesย ๐ŸŽ“
  • Over 355 publications, including 2 monographsย ๐Ÿ“š
  • Leader of national science project TR32054 (2010-2018)ย ๐Ÿ†
  • Member of Management Committee of COST Action CA17124 (2018-2023)ย ๐ŸŒ
  • Participation in 6 international TEMPUS projectsย ๐ŸŒ

Publoication Top Notes

  • “Ionospheric forecasting technique by artificial neural network”ย ๐ŸŒŒ๐Ÿค–ย Cited by: 100, Published: 1998
  • “An Efficient Novel Approach for Iris Recognition Based on Stylometric Features and Machine Learning Techniques”ย ๐Ÿ‘๏ธ๐Ÿ“Š,Cited by: 76, Published: 2020
  • “Device for Biometric Verification of Maternity”ย ๐Ÿผ๐Ÿ”‘ย Cited by: 56, Published: 2015
  • “Fuzzy commitment scheme for generation of cryptographic keys based on iris biometrics”ย ๐Ÿงฌ๐Ÿ”’ย Cited by: 53, Published: 2017
  • “Robust recursive AR speech analysis”ย ๐Ÿ—ฃ๏ธ๐Ÿ”Šย Cited by: 53, Published: 1995
  • “Biometric Verification of Maternity and Identity Switch Prevention in Maternity Wards”ย ๐Ÿฅ๐Ÿงพย Cited by: 51, Published: 2016
  • “Elektronska trgovina”ย ๐Ÿ›’๐Ÿ’ปย Cited by: 51, Published: 2011
  • “Reliable Baselines for Sentiment Analysis in Resource-Limited Languages: The Serbian Movie Review Dataset”ย ๐ŸŽฅ๐Ÿ“‘ย ย Cited by: 47, Published: 2016

 

Dr. Mohamed Elhamahmy | AI – Machine Learning | Best Researcher Award

Dr. Mohamed Elhamahmy | AI – Machine Learning | Best Researcher Award

Dr. Mohamed Elhamahmy, National Telecommunications Regulatory Authority, Egypt,

Dr. Mohamed Ezzat Elhamahmy is a Senior Expert in Cybersecurity at the National Telecommunications Regulatory Authority in Cairo and serves on the advisory board at the College of Computers and Information Technology, Arab Academy for Science, Technology and Maritime Transport. He holds a Bachelor’s in Electrical Engineering from the Military Technical College, a Masterโ€™s in Systems and Computer Engineering from Al-Azhar University, a Ph.D. in Information Technology from Cairo University, and a Professional Masterโ€™s in Political Studies and Security. Dr. Elhamahmy has extensive experience in IT and cybersecurity, having managed the Information Systems Department of the Armed Forces and established a dedicated cybersecurity unit. His expertise includes incident handling, network security, and strategic planning, supported by certifications such as CEH and CISSP. His notable contributions include advancing cybersecurity practices and education in the region.

Professional Profile๐ŸŒ

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Educational Background ๐ŸŽ“

Dr. Mohamed Ezzat Elhamahmy graduated from the Military Technical College in 1989 with a Bachelor’s degree in Electrical Engineering. He earned a Masterโ€™s degree in Systems and Computer Engineering from Al-Azhar University in 2001, a Ph.D. in Information Technology from Cairo University in 2011, and a Professional Masterโ€™s degree in Political Studies and Security from the Faculty of Economics and Political Science.

Professional Experience ๐Ÿ’ผ

Dr. Elhamahmy has an extensive career in information technology and cybersecurity. From 1990 to 2015, he worked with the Information Systems Department of the Armed Forces, holding roles such as Systems Manager, Network Manager, and IT Manager. He specialized in cybersecurity from 2009 to 2014 and established a dedicated cybersecurity unit in 2015. He led the unit until 2019, overseeing its development, training programs, and strategic planning.

Current Roles ๐Ÿข

Since 2019, Dr. Elhamahmy has been serving as a Senior Expert in Cybersecurity at the National Telecommunications Regulatory Authority, Cairo. He is also a member of the advisory board at the College of Computers and Information Technology, Arab Academy for Science, Technology and Maritime Transport, where he lectures and supervises academic programs.

Skills and Expertise ๐Ÿ› ๏ธ

Dr. Elhamahmy is skilled in incident handling, research and development in network security, and strategic cybersecurity planning. His expertise includes advanced knowledge of various technologies and applications, with strong communication, problem-solving, and leadership abilities.

Certifications and Training ๐Ÿ…

He has obtained numerous certifications, including Certified Ethical Hacker (CEH), Certified Information Systems Security Professional (CISSP), and CCNA. He has also completed specialized training in Oracle, Microsoft Windows Server, and various cybersecurity tools.

Contributions and Achievements ๐ŸŒŸ

Dr. Elhamahmy is known for his significant contributions to cybersecurity, including establishing successful cybersecurity units and leading strategic initiatives. His work has greatly impacted the development of cybersecurity practices and education in the region.

Publication Top Notes:

  • Improving Intrusion Detection Using LSTM-RNN to Protect Dronesโ€™ Networks
    • Year: 2024
  • Internet of Drones Intrusion Detection Using Deep Learning
    • Year: 2021
  • A Real-Time Firewall Policy Rule Set Anomaly-Free Mechanism
    • Year: 2019
  • A Proposed Approach for Management of Multiple Firewalls Using REST API Architecture
    • Year: 2019
  • Towards a Practical Real-Time Applications of Face Verification
    • Year: 2019