AI Scientist of the Year Award - ScienceFather https://networking-events.sciencefather.com Sat, 30 Nov 2024 07:27:20 +0000 en-GB hourly 1 https://wordpress.org/?v=6.7.1 https://networking-events.sciencefather.com/wp-content/uploads/2022/06/Picture5.png AI Scientist of the Year Award - ScienceFather https://networking-events.sciencefather.com 32 32 Milan Milosavljević | Artificial Intelligence | Best Researcher Award https://networking-events.sciencefather.com/milan-milosavljevic-artificial-intelligence-best-researcher-award-3406/?utm_source=rss&utm_medium=rss&utm_campaign=milan-milosavljevic-artificial-intelligence-best-researcher-award-3406 Sat, 30 Nov 2024 07:22:25 +0000 https://networking-events.sciencefather.com/?p=19999 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

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Milan Milosavljević | Artificial Intelligence | Best Researcher Award
Prof. Dr. Milan Milosavljević, Vlatacom Institute of High Technologies, Serbia.

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 

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

 

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