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

 

Assoc Prof Dr. Khaled EL Sayed | AI Awards | Best Researcher Award-3044

Assoc Prof Dr. Khaled EL Sayed | AI in medicine | Best Researcher Award

Assoc Prof Dr. Khaled EL Sayed, Benha University, Egypt

Prof. Dr. Khaled El Sayed is an esteemed Associate Professor of Biomedical Engineering at Benha University, Egypt, with a comprehensive academic background including a B.Sc., M.Sc., and Ph.D. from Cairo University, specializing in hand geometry verification, protein function prediction, and EEG dynamics. He holds a Diploma in Medical Radiation Protection and is pursuing DBA studies. His notable achievements include awards for Excellence in Graduate Studies and patents for innovative medical systems, including a smart treatment system for heat/sun stroke and a smart patient mattress disinfection system. Prof. El Sayed has extensive teaching experience and has held significant roles, such as heading the Biomedical Department at MTI and consulting for various organizations. Currently, he is also a Medical Planning Consultant for ECG, Executive Manager at the Medical Equipment Manufacture Incubator (MED-Tech), and oversees the Medical Equipment Calibration Lab at Benha University. His expertise extends to BCI, electronic and microcontroller design, and infection control, and he contributes as a reviewer and board member for prominent journals in his field.

Professional Profile๐ŸŒ

Orcid

Suitability for the Best Researcher Award

Prof. Dr. Khaled El Sayed is highly suitable for the Best Researcher Award due to the following reasons:

  1. Extensive Experience and Expertise: His broad experience spans academia, industry, and consultancy, showcasing his comprehensive understanding and leadership in biomedical engineering. His roles in teaching, research, and management highlight his multifaceted expertise.
  2. Significant Contributions: Prof. El Sayedโ€™s work in developing innovative medical systems and his patents demonstrate a significant impact on medical technology. His contributions in bioinformatics and medical planning underscore his research excellence.
  3. Academic and Research Achievements: His extensive teaching experience, research publications, and editorial roles reflect his commitment to advancing knowledge in his field. His involvement in high-impact journals and conferences further illustrates his active participation in the research community.
  4. Leadership and Management: His leadership roles in various projects, including managing medical equipment incubators and calibration labs, demonstrate his capability in steering important initiatives and fostering collaboration.
  5. Awards and Recognition: His recognition through awards and patents, coupled with his ongoing DBA thesis, highlights his continued dedication to research and development.

Educational Background:

Prof. El Sayed earned his B.Sc., M.Sc., and Ph.D. in Biomedical Engineering from Cairo University, with notable research on hand geometry verification, protein function prediction, and EEG dynamics. His academic journey includes a Diploma in Medical Radiation Protection and ongoing DBA studies. ๐ŸŽ“

Prizes and Patents:

He has been awarded for Excellence in Graduate Studies and holds patents for a smart system for treating heat/sun stroke and a smart patient mattress disinfection system. ๐Ÿ…

Professional Experience:

He has extensive experience teaching Biomedical Engineering courses at Benha University, previously headed the Biomedical Department at MTI, and consulted for various organizations. His earlier roles include Senior Biomedical Engineer at Dar Al-Fouad Hospital and Electronics Instructor at Cairo University. ๐Ÿ“š

Current Positions:

Prof. Dr. Khaled El Sayed is an Associate Professor at Benha University in Egypt, specializing in Biomedical Engineering. He also serves as a Medical Planning Consultant for ECG, Executive Manager at the Medical Equipment Manufacture Incubator (MED-Tech), and Executive Manager of the Medical Equipment Calibration Lab at Benha University. Additionally, he is a Biomedical Engineering Consultant for the Egyptian Engineering Syndicate and a Board Member of the Egyptian Biomedical Engineering Society. ๐Ÿฅ

Special Skills and Interests:

Prof. El Sayed is proficient in PC software, MATLAB, and various programming languages. His interests include BCI, electronic design, microcontroller design, and infection control. He is fluent in Arabic and English. ๐Ÿ’ป

Editorial and Review Positions:

He contributes as a reviewer and editorial board member for journals such as AJMB and the American Journal of Bioinformatics Research. ๐Ÿ“

Publication Top Notes:

  • Title: A Low-Cost and PC-Based Automatic Hand Geometry Verification System
    • Year: 2009
  • Title: Comparison Between Different Methods for Protein Function Prediction
    • Year: 2009
  • Title: Estimation of the Correlation Between Protein Sub-Function Categories Based on Overlapping Proteins
    • Year: 2010
  • Title: Exploring Protein Functions Correlation Based On Overlapping Proteins and Cluster Interactions
    • Year: 2011
  • Title: Determining the Relations Between Protein Sub-Function Categories Based On Overlapping Proteins
    • Year: 2011