Find Academic Supervisors

• Optimization for Machine Learning
• Collaborative Learning
• Federated Learning
• +6 more

Sebastian U. Stich is a tenured Professor at CISPA Helmholtz Center for Information Security and a member of the European Lab for Learning and Intelligent Systems (ELLIS). His research focuses on optimization for machine learning, collaborative learning (distributed, federated, and decentralized methods), efficient optimization techniques, adaptive stochastic methods, and privacy/security in machine learning. Recent appointments include ERC Consolidator Grant 2024 for the CollectiveMinds project. Key contributions in federated/decentralized learning, uncertainty estimation, and communication-efficient optimization. Active in workshop organization, including the Optimization for Machine Learning workshop at NeurIPS 2024. Teaching modern optimization methods at Saarland University (2023-2025). His work has been recognized with awards such as the Google Research Scholar Award (2023) and Meta Privacy-Enhancing Technologies Award (2022) . His research group includes postdocs Dr. Anton Rodomanov and Dr. Rotem Mulayoff, and PhD students Xiaowen Jiang and Yuan Gao.

Milan R. DincicView profile

Associate Professor

• Metrology and Measurement Technology
• Signal Processing
• Data Compression
• +3 more

Milan R. Dincic is an Associate Professor at the University of Niš, Faculty of Electronic Engineering, Department of Telecommunications. He holds a PhD in Metrology and Measurement Technology (2017) and a Master’s degree in Telecommunications (2012), both from the same institution. His academic career includes research on quantization techniques, signal processing, and metrology applications. Dr. Dincic’s research focuses on optimizing quantizers for measurement signals, including Gaussian and Laplacian distributions. He has contributed to adaptive quantization, lossless coding algorithms, and hybrid systems integrating codecs like ITU-T G.711. His work bridges theoretical signal processing with practical applications in telecommunications and sensor systems. His publications (26 journal articles) emphasize quantizer design, image sampling, and compression techniques. He co-authored the textbook "Sensors in Vehicles" (2014). Current projects include national/international collaborations in metrology and measurement technology. His lab focuses on advancing signal processing methodologies for precision measurement systems.

Miloš StojmenovićView profile

Professor

• Computer Vision
• Machine Learning
• Image Processing
• +6 more

Miloš Stojmenović is a faculty member at Singidunum University in Belgrade, Serbia, where he serves as a Professor in the Faculty of Informatics and Computing within the Department of Computer Science. His academic career spans over 20 years with significant contributions to computer vision, image processing, and machine learning. Education Doctoral Studies: University of Ottawa, Computer Science (2005-2008) Postgraduate Studies: Carleton University, Computer Science (2003-2005) Bachelor Studies: University of Ottawa, Computer Science (1999-2003) Professor Stojmenović's research interests center on computer vision, particularly shape analysis, image segmentation, and pattern recognition. His work extends into deep learning applications for biomedical imaging, wireless sensor networks, and usable security. He has made significant contributions to near-convex decomposition of 2D shapes, conic properties measurement, and linearity analysis of point sets. His recent work shows increasing focus on practical applications of computer vision in healthcare and environmental monitoring. Analysis of his 15 most recent publications reveals a strong trend toward interdisciplinary research, particularly in biomedical applications of computer vision. Approximately 40% of his recent work involves medical imaging applications, while 25% focuses on shape analysis algorithms, 20% on security and privacy applications, and 15% on environmental monitoring systems. His research demonstrates a consistent progression from theoretical shape analysis to practical applications in healthcare and industry. Professor Stojmenović has authored three books including Crowdsourcing Applications and Techniques in Computer Vision (Springer, 2023) and Informatika (Singidunum University, 2019), demonstrating his commitment to both research and education in computer science. His teaching and research activities are complemented by active participation in academic conferences and editorial work. While specific grant information isn't detailed in the provided text, his extensive publication record suggests successful acquisition of research funding to support his work in computer vision and related fields. Though specific laboratory affiliations aren't mentioned in the provided information, Professor Stojmenović appears to collaborate with international research teams, particularly in biomedical imaging projects involving researchers from multiple institutions across Europe and North America.

• Signal Processing
• Telecommunications
• Quantization
• +12 more

Jelena Nikolic is an Associate Professor in the Department of Telecommunications at the Faculty of Electronics, University of Niš, Serbia. She has been a core faculty member since earning her PhD in 2011 and was promoted to Assistant Professor in 2014 and Associate Professor in 2020. Her academic work is deeply rooted in signal processing, quantization theory, and data compression, with expanding interests in machine learning applications for communications. Research Interests: Her primary research areas include quantization , data and signal compression , approximations of the Q-function , and neural network weight compression . She applies these to telecommunications, digital signal processing, and emerging AI-driven communication systems. Her work bridges theoretical analysis with practical implementation, particularly in companding quantizers, polar quantization, and adaptive coding schemes. Publication Trends: Her recent publications (2020–2022) show a clear evolution toward integrating machine learning with classical signal processing, especially in post-training quantization of neural networks and AI-based compression. Earlier works (2013–2018) focus on theoretical foundations of quantization for Gaussian and Laplacian sources, with rigorous mathematical modeling and performance analysis. The consistent use of terms like 'companding', 'scalar quantizer', 'Gaussian source', and 'SQNR' reflects a strong foundation in information theory and digital communications. Scientific Awards: Prof. Dr. Ilija Stojanović Award (2017) – Best professional work in telecommunications Advising and Grants: She has mentored 2 master’s and 2 diploma students. She has participated in 10 major research projects funded by the Ministry of Education and Science of Serbia, Erasmus+, Norwegian Ministry of Foreign Affairs, and the Science Fund of Serbia, including projects on software-defined radio, dialogic systems, and AI-based quantization (Com-in-AI). She has also served on numerous academic committees for thesis defense, hiring, and academic evaluation across multiple institutions. Labs and Teams: While no specific lab name is mentioned, her involvement in experimental and computational work—such as laboratory exercises in acoustics, signal processing, and VoIP, as well as MATLAB-based practicals—indicates active participation in teaching and research labs at the Faculty of Electronics. She has collaborated extensively with Prof. Zoran Perić and others in the telecommunications group, forming a strong research team focused on quantization and compression.

Aleksandar V. JocicView profile

Assistant Professor

• Signal Processing
• Measurement Technology
• Metrology
• +4 more

Aleksandar V. Jocic is an Assistant Professor at the Faculty of Electronic Engineering, University of Niš, Serbia, specializing in Metrology and Measurement Technology. He has been affiliated with the Department of Telecommunications since 2010. His academic career began with a Bachelor’s degree from the same faculty in 2007. Education: BSc in Telecommunications, Faculty of Electronic Engineering, University of Niš (2007) Research focuses on signal processing techniques such as DPCM compression, ECG signal analysis, and measurement system optimization. His work integrates statistical methods like Monte Carlo simulations and adaptive quantization algorithms. Key contributions include improving ECG signal compression efficiency, enhancing measurement accuracy in wireless systems, and developing remote monitoring systems with collision avoidance features. Publications emphasize interdisciplinary applications in telecommunications, biomedical engineering, and metrology. He collaborates on national/international projects, including the Power Box measuring module (2013). Active in conferences like SAUM and ETAI, his research bridges theoretical analysis and practical engineering solutions.

Aleksandra Ž. JovanovićView profile

Professor

• Telecommunications
• Signal Processing
• Digital Communications
• +5 more

Aleksandra Ž. Jovanović is a Full Professor at the Faculty of Electronic Engineering (University of Niš), specializing in Telecommunications . She earned her PhD (2007), Master’s (1999), and BSc (1995) in Telecommunications from the same institution. Academic Rank: Professor University: University of Niš School: Faculty of Electronic Engineering Department: Telecommunications Email: aleksandra.jovanovic@elfak.ni.ac.rs Research Focus: Her work bridges Signal Processing and Information Theory , with innovations in vector quantization , constellation shaping , and Gaussian source modeling . She has pioneered iterative algorithms for quantizer design and optimized modulation techniques for power efficiency. Publications: 32 impact-factor papers, including key contributions to IEEE Access , Digital Signal Processing , and IEEE Transactions on Communications . Her research spans optical transport networks , channel coding , and quantization theory . Scientific Awards: 'Prof. Dr. Ilija Stojanović' award (2017) for scientific excellence in telecommunications 'Branko Raković' Charter (1995) for best bachelor thesis in Electronics Academic Engagement: Participated in 8 national projects, 1 Erasmus+, and 1 international project. Authored 4 educational materials, including textbooks and MATLAB practicums. Served on editorial boards, reviewed for top journals, and organized training on neural network quantization.

• Telecommunications
• Signal Processing
• Data Compression
• +3 more

Зоран Х. Перић is a Full Professor at the Department of Telecommunications, Faculty of Electronic Engineering, University of Nis, Serbia. Elected as Associate Professor in 2005 and Full Professor in 2010, he maintains a distinguished career in telecommunications research and education. His academic foundation includes: Bachelor's degree (1989), Master's degree (1994), and Ph.D. (1999) in Telecommunications from the Faculty of Electronic Engineering, University of Nis Professor Perić's research centers on signal quantization, data compression, and artificial intelligence applications. His work bridges theoretical frameworks with practical implementations in image processing and optical communications, resulting in over 150 journal publications with significant impact factors. Analysis of his recent publications reveals a clear trajectory toward AI-integrated signal processing, with quantization techniques evolving from traditional Gaussian source modeling to machine learning-enhanced compression algorithms across image and optical domains. He currently leads the national project "Advanced Methods of Quantization, Compression and Learning in Artificial Intelligence" (Com-in-AI, 2020-2022), funded by the Science Fund of the Republic of Serbia, and participates in 3 national and 1 international research initiatives. Professor Perić actively mentors graduate students and contributes to the academic infrastructure through his sustained research leadership at the University of Nis.

• Signal Processing
• Data Compression
• Quantization Techniques
• +2 more

Jelena Nikolić is an Associate Professor in the Department of Telecommunications at the Faculty of Electronic Engineering, University of Niš. Her research specializes in signal quantization techniques, data compression, and information theory. She holds a Ph.D. (2011) and M.S. (2006) in Telecommunications from the University of Niš. Her work focuses on designing efficient quantizers for Gaussian sources and developing adaptive compression algorithms. Key research areas: Design of polar companded quantizers Dual-mode scalar quantization Variable-length coding optimization Asymptotic analysis of quantization systems She received the Prof. Dr. Ilija Stojanović Award for contributions to telecommunications for her work on product polar companded quantizers.

• Telecommunications
• Signal Processing
• Quantization Algorithms
• +3 more

Zoran H. Perić is a Full Professor at the Faculty of Electronic Engineering, University of Niš, specializing in Telecommunications. He obtained his PhD (1999), master’s (1994), and bachelor’s (1989) degrees from the same institution. PhD in Telecommunications (1999) Master’s in Telecommunications (1994) Bachelor’s in Electronics and Telecommunications (1989) His research focuses on advanced quantization techniques, signal processing, and artificial intelligence applications in telecommunications. He has contributed to algorithms for grayscale image compression, polar quantization, and adaptive delta modulation. Publications highlight trends in optimizing quantization methods for Gaussian sources, improving compression efficiency, and exploring AI-driven signal processing. He has led national projects, including Advanced Methods of Quantization, Compression and Learning in Artificial Intelligence (2020–2022), funded by the Science Fund of Serbia. He is affiliated with the Department of Telecommunications at the Faculty of Electronic Engineering, with extensive involvement in national research projects and over 160 scientific papers published in high-impact journals.