Prof. Dr. Miljana Milic is a distinguished full professor at the University of Niš, specializing in applied mathematics, artificial intelligence, and electronic circuit design. With an extensive academic background, she holds MSc and PhD degrees in Electrical Engineering and has made significant contributions to neural networks, forecasting algorithms, and VLSI circuit design. Her research focuses on improving forecasting accuracy and system performance, with notable publications in high-impact journals such as Mathematics and Microelectronics Reliability. Prof. Milic’s work spans across numerous international collaborations, particularly in Southeast Europe and with renowned universities in Germany, the UK, and Greece. She has also contributed to multiple innovation projects and holds several patents. As a mentor, she has shaped the careers of emerging researchers while continuing her own impactful work in artificial intelligence and electronic systems. Prof. Milic’s research is recognized for its practical applications in energy systems, communications, and predictive modeling.

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Education

Prof. Dr. Miljana Milic holds both MSc and PhD degrees in Electrical Engineering, reflecting her strong academic foundation. Her education has equipped her with deep expertise in applied mathematics, artificial intelligence, and electronic circuit design, providing a solid base for her pioneering research in forecasting methods and complex system modeling. Over the years, her academic journey has been complemented by her continuous pursuit of knowledge through collaborations with prestigious institutions globally. Her educational background has not only formed the foundation of her research but also contributed to her leadership in shaping future engineers and researchers, further enhancing her impact on both the academic and professional communities.

Professional Experience

Prof. Dr. Miljana Milic is a full professor at the University of Niš, Faculty of Electronic Engineering, where she has significantly influenced both research and education. She has led several research projects funded by government agencies and collaborated internationally on various technical solutions related to electronic systems, artificial intelligence, and forecasting. With a focus on bridging theoretical advancements and practical applications, her career has seen her at the forefront of developments in areas such as VLSI circuits, predictive modeling, and energy systems. Prof. Milic’s teaching and mentorship have further cemented her reputation as a respected figure in academia.

Research Interest

Prof. Dr. Milic’s research spans applied mathematics, artificial intelligence, and electronic circuit design. Her primary focus lies in developing advanced forecasting methods, particularly using neural networks to improve prediction accuracy in time series modeling. Additionally, her work explores VLSI circuit design, specifically in the areas of delay estimation and integrated circuit testing. Prof. Milic is also dedicated to exploring the intersection of AI and electronic systems, applying predictive models to various sectors such as energy management, wireless communication, and healthcare. Her interdisciplinary approach aims to narrow the gap between theoretical research and real-world applications, particularly in the context of modern technological challenges.

Awards and Honors

Prof. Dr. Miljana Milic has received numerous accolades for her contributions to research and academia. Her work has been recognized internationally, with her publications cited widely across the academic community. She has received funding for numerous research projects, including those from the Ministry of Education, Science, and Technological Development in Serbia, highlighting her role in advancing scientific innovation. As a mentor and leader, Prof. Milic has also earned recognition for her dedication to education and academic development, playing a pivotal role in shaping the next generation of researchers in her field. Her ongoing contributions to academic journals and international collaborations further solidify her standing in the global research community.

Conclusion

Prof. Dr. Miljana Milic is an accomplished academic whose research has made a significant impact in the fields of artificial intelligence, neural networks, and electronic circuit design. With a strong academic background and extensive professional experience, she has contributed to numerous international projects and innovations that bridge theory with real-world applications. Her work in predictive modeling, particularly in energy systems and communication technologies, showcases her interdisciplinary approach and commitment to advancing modern science and engineering. Through her dedication to research, teaching, and mentorship, Prof. Milic continues to inspire and shape the future of engineering, making her a highly deserving candidate for the Best Academic Researcher Award.

Publications Top Notes

• Title: Decimation Filter Design
  Authors: M. Sokolovic, B. Jovanovic, M. Damnjanovic
  Year: 2004
  Citation: 21
  Source: 24th International Conference on Microelectronics (IEEE Cat. No …)

• Title: Modular Design of Fast Leading Zeros Counting Circuit
  Authors: N.Z. Milenkovic, V.V. Stankovic, M.L. Milic
  Year: 2015
  Citation: 19
  Source: Journal of Electrical Engineering 66 (6), 329

• Title: Oscillation-Based Analog Diagnosis Using Artificial Neural Networks Based Inference Mechanism
  Authors: M.A. Stošović, M. Milić, M. Zwolinski, V. Litovski
  Year: 2013
  Citation: 19
  Source: Computers & Electrical Engineering 39 (2), 190-201

• Title: Performance Analysis of SSC/SC Combiner at Two Time Instants in the Presence of Rayleigh Fading
  Authors: P. Nikolić, D. Krstić, M. Milić, M. Stefanović
  Year: 2011
  Citation: 17
  Source: Walter de Gruyter GmbH & Co. KG 65 (11-12), 319-325

• Title: Simulation of a Pick-and-Place Cube Robot by Means of the Simulation Software KUKA Sim Pro
  Authors: D. Lukač
  Year: 2018
  Citation: 11
  Source: 41st International Convention on Information and Communication Technology (ICT)

• Title: Analog Filter Diagnosis Using the Oscillation-Based Method
  Authors: M.S. Andrejevic, M. Milic
  Year: 2012
  Citation: 11
  Source: Journal of Electrical Engineering 63 (6), 349

• Title: Oscillation-Based Analog Testing—A Case Study
  Authors: M. Milić, M.A. Stošović, V. Litovski
  Year: 2011
  Citation: 10
  Source: Proceedings of the 34th International Convention MIPRO, 96-101

• Title: Using VHDL Simulator to Estimate Logic Path Delays in Combinational and Embedded Sequential Circuits
  Authors: M.L.J. Sokolovic, V.B. Litovski
  Year: 2005
  Citation: 10
  Source: EUROCON 2005-The International Conference on “Computer as a Tool” 2, 1683-1686

• Title: Arduino-Based Non-Contact System for Thermal-Imaging of Electronic Circuits
  Authors: M. Milic, M. Ljubenovic
  Year: 2018
  Citation: 9
  Source: Zooming Innovation in Consumer Technologies Conference (ZINC), 62-67

• Title: From Artificial Intelligence to Augmented Age: An Overview
  Authors: D. Lukac, M. Milic, J. Nikolic
  Year: 2018
  Citation: 6
  Source: Zooming Innovation in Consumer Technologies Conference (ZINC), 100-103

• Title: Daily Danube River Water Level Prediction Using Extreme Learning Machine Approach
  Authors: M. Milić, N. Radivojević, J. Milojković, M. Jeremić
  Year: 2024
  Source: Facta Universitatis, Series: Automatic Control and Robotics 23 (1), 077-094

• Title: Adaptation of the Feedback Transfer Function for Oscillation-Based Testing of Second-Order Active RC Filters
  Authors: D. Mirković, M. Milić, M.S. Mirković
  Year: 2024
  Source: Facta Universitatis, Series: Automatic Control and Robotics 23 (1), 001-015

• Title: Prediction of Reference Evapotranspiration Using Neural Networks
  Authors: M. Milić, M. Jeremić, J. Milojković, M.S. Mirković
  Year: 2024
  Source: 11th International Conference on Electrical, Electronic and Computing Technologies

• Title: Extended, Short-Term Neural Prediction Methodology for European Electricity Production by Type
  Authors: M.L.J. Milic, J.B. Milojković, A.Z. Petrusic
  Year: 2024
  Source: ACTA POLYTECHNICA HUNGARICA 21 (8), 147-168

• Title: A Defects Classification Algorithm for Hybrid OBT–IDDQ Fault Diagnosis in Analog CMOS Integrated Circuits
  Authors: D.D. Mirkovic, M.L. Milić, M. Stanojlovic, V.Z. Petrovic
  Year: 2024
  Source: Journal of Circuits, Systems and Computers (2024)