Milan Milosavljević | Artificial Intelligence | Best Researcher Award

Prof. Dr. Milan Milosavljević, Vlatacom Institute of High Technologies, Serbia.

Dr. Milan Milosavljević is a highly regarded academic and expert in signal processing, artificial intelligence, and information security. He has served as a full professor at Singidunum University and the Faculty of Electrical Engineering, Belgrade University, contributing significantly to the educational landscape of Serbia. Milan’s research spans across cryptanalysis, cryptology, biometrics, and intelligent systems, and he has mentored over 30 doctoral theses and 100 master’s students. With extensive experience in national and international collaborations, he has authored over 350 publications and has played a vital role in shaping the development of information security systems.

Publication profile

Googlescholar

Education and Experience

PhD (UB-FEE): 1982, specializing in signal processing
Full Professor (BU-FEE): 2003-2016
Full Professor (SU): 2003-2022
Visiting Scientist (Cornell University): 1987-1988
Visiting Professor (University Paris XIII): 1997
Special Advisor (Vlatacom Institute): 2022-Present
Mentor: Over 30 doctoral and 100+ master’s theses

Suitability For The Award

Prof.Dr. Milan Milosavljević 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 Development

Milan Milosavljević 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.

Research Focus

Prof. Milan Milosavljević’s research focuses on signal processing, artificial intelligence, and information security. His work includes cryptography, cryptanalysis, biometrics, steganography, and information protection systems. He has significantly advanced both theoretical and practical applications in these areas, particularly within the defense and state sectors of Serbia. His research on secure communication and intelligent systems has contributed to enhancing data protection. Milan’s work continues to influence developments in information security, making a substantial impact on national security infrastructure.

Awards and Honors

Best student of the generation at UB-FEE
Full Professor, BU-FEE (2003-2016)
Mentor of 30 doctoral theses and 100+ master’s theses
Over 355 publications, including 2 monographs
Leader of national science project TR32054 (2010-2018)
Member of Management Committee of COST Action CA17124 (2018-2023)
Participation in 6 international TEMPUS projects

Publoication Top Notes

“Ionospheric forecasting technique by artificial neural network” Cited by: 100, Published: 1998
“An Efficient Novel Approach for Iris Recognition Based on Stylometric Features and Machine Learning Techniques” ,Cited by: 76, Published: 2020
“Device for Biometric Verification of Maternity” Cited by: 56, Published: 2015
“Fuzzy commitment scheme for generation of cryptographic keys based on iris biometrics” Cited by: 53, Published: 2017
“Robust recursive AR speech analysis” Cited by: 53, Published: 1995
“Biometric Verification of Maternity and Identity Switch Prevention in Maternity Wards” Cited by: 51, Published: 2016
“Elektronska trgovina” Cited by: 51, Published: 2011
“Reliable Baselines for Sentiment Analysis in Resource-Limited Languages: The Serbian Movie Review Dataset” Cited by: 47, Published: 2016