Milan Milosavljević | Artificial Intelligence | Best Researcher Award

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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):Ā 1982, specializing in signal processingĀ šŸŽ“
  • Full Professor (BU-FEE):Ā 2003-2016Ā šŸ‘Øā€šŸ«
  • Full Professor (SU):Ā 2003-2022Ā šŸ«
  • Visiting Scientist (Cornell University):Ā 1987-1988Ā šŸŒ
  • Visiting Professor (University Paris XIII):Ā 1997Ā šŸ‡«šŸ‡·
  • Special Advisor (Vlatacom Institute):Ā 2022-PresentĀ šŸ’¼
  • Mentor:Ā Over 30 doctoral and 100+ master’s thesesĀ šŸŽ“

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 DevelopmentĀ 

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.Ā šŸŒšŸ“š

Research FocusĀ 

Awards and Honors

  • Best student of the generation at UB-FEEĀ šŸŽ“
  • Full Professor, BU-FEE (2003-2016)Ā šŸ‘Øā€šŸ«
  • Mentor of 30 doctoral theses and 100+ master’s thesesĀ šŸŽ“
  • Over 355 publications, including 2 monographsĀ šŸ“š
  • Leader of national science project TR32054 (2010-2018)Ā šŸ†
  • Member of Management Committee of COST Action CA17124 (2018-2023)Ā šŸŒ
  • Participation in 6 international TEMPUS projectsĀ šŸŒ

Publoication Top Notes

  • “Ionospheric forecasting technique by artificial neural network”Ā šŸŒŒšŸ¤–Ā Cited by: 100, Published: 1998
  • “An Efficient Novel Approach for Iris Recognition Based on Stylometric Features and Machine Learning Techniques”Ā šŸ‘ļøšŸ“Š,Cited by: 76, Published: 2020
  • “Device for Biometric Verification of Maternity”Ā šŸ¼šŸ”‘Ā Cited by: 56, Published: 2015
  • “Fuzzy commitment scheme for generation of cryptographic keys based on iris biometrics”Ā šŸ§¬šŸ”’Ā Cited by: 53, Published: 2017
  • “Robust recursive AR speech analysis”Ā šŸ—£ļøšŸ”ŠĀ Cited by: 53, Published: 1995
  • “Biometric Verification of Maternity and Identity Switch Prevention in Maternity Wards”Ā šŸ„šŸ§¾Ā Cited by: 51, Published: 2016
  • “Elektronska trgovina”Ā šŸ›’šŸ’»Ā Cited by: 51, Published: 2011
  • “Reliable Baselines for Sentiment Analysis in Resource-Limited Languages: The Serbian Movie Review Dataset”Ā šŸŽ„šŸ“‘Ā Ā Cited by: 47, Published: 2016

 

Dr. Ali Rohan | Artificial Intelligence Awards | Best Researcher Award

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Dr. Ali Rohan | Artificial Intelligence Awards | Best Researcher Award

Dr. Ali Rohan, National Subsea Centre, United Kingdom

šŸ‘Øā€šŸ”¬ Dr. Ali Rohan is a versatile researcher and educator in the fields of robotics, artificial intelligence (AI), and computer vision. With a strong academic background including a MSc ā€“ PhD in Electrical, Electronics & Control Engineering from Kunsan National University, South Korea, he has delved into various facets of cutting-edge technology. As a Lead Researcher at institutions like the National Subsea Centre in the UK and Dongguk University in South Korea, he spearheaded groundbreaking projects like SeaSense, focusing on underwater visual systems, and DAIRYVISION, revolutionizing livestock farming with AI and machine vision. His expertise spans from real-time implementation of AI for UAVs to structural damage monitoring using AI with UAVs. Dr. Rohan’s contributions extend beyond research, as he has also shared his knowledge as an educator, teaching courses on robotics, data science, and control systems engineering. With a passion for innovation and a dedication to advancing technology, Dr. Rohan continues to make significant strides in shaping the future of AI and robotics. šŸ¤–āœØ

šŸŒ Professional Profile:

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šŸŽ“ Education

Ph.D. in Electrical, Electronics & Control Engineering
Department of Control & Robotics Engineering, Kunsan National University, Kunsan, South Korea
(Feb 2016 – Mar 2020)

B.Sc (Hons) in Electrical Engineering
School of Electrical Engineering, The University of Faisalabad, Pakistan
(Oct 2008 – Jul 2012)

šŸ–„ļø Technical Competence

  • Areas of Specialization: AI, Machine Learning, Deep Learning, Computer Vision, Robotics, Automation
  • Programming Languages: C, C++, C#, Matlab, Python
  • AI & Machine Learning Libraries: TensorFlow, PyTorch, Scikit-learn, Keras
  • Operating Systems: Windows, Linux, macOS, Robot Operating System (ROS)

šŸ” Research Interests :

šŸ¤– Dr. Ali Rohan, an accomplished researcher, specializes in Robotics, Artificial Intelligence (AI), Computer Vision, Automation and Control, Image Processing, Signal Processing, and Machine Learning. His expertise lies in leveraging these domains to innovate solutions for various real-world challenges, from enhancing industrial automation to advancing medical diagnostics. With a keen interest in interdisciplinary research, Ali consistently explores the intersection of these fields to develop cutting-edge technologies with profound societal impacts. šŸš€

šŸ”¬ Research Experience & Projects

Dr. Rohan has led and contributed to various research projects in areas such as underwater robotics, agricultural monitoring using drones, AI for healthcare, and structural damage detection using UAVs. His work includes projects funded by prestigious bodies like the Net Zero Technology Centre, InnovateUK, and the Australian Research Council.

šŸ‘Øā€šŸ« Teaching Experience

Dr. Rohan has taught a range of modules covering topics such as fundamentals of prognostics and health management, robotics, control systems engineering, data science, and power electronics. His teaching expertise spans both theoretical principles and practical applications in engineering and technology.

šŸ… Certifications & Awards

Dr. Rohan holds certifications in areas such as Prognostics and Health Management and has received recognition for his contributions to research and academia.

šŸ“šĀ Publication Impact and Citations :

Scopus Metrics:

  • šŸ“Ā Publications: 19 documents indexed in Scopus.
  • šŸ“ŠĀ Citations: A total of 437 citations for his publications, reflecting the widespread impact and recognition of Dr. Ali Rohanā€™s research within the academic community.

Google Scholar Metrics:

  • All Time:
    • Citations: 644 šŸ“–
    • h-index: 14Ā  šŸ“Š
    • i10-index: 15 šŸ”
  • Since 2018:
    • Citations: 629 šŸ“–
    • h-index: 14 šŸ“Š
    • i10-index: 14 šŸ”

šŸ‘Øā€šŸ« A prolific researcher with significant impact and contributions in the field, as evidenced by citation metrics. šŸŒšŸ”¬

Publication Top Notes: