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GAO YihangView profile

Research Fellow

• Scientific Machine Learning
• Optimization
• Large Language Models
• +2 more

GAO Yihang is a Research Fellow in the Department of Mathematics at the National University of Singapore (NUS), working under the supervision of Prof. Vincent Y. F. Tan. He obtained his Ph.D. in Mathematics from The University of Hong Kong (HKU) in 2024 under Prof. Michael K. Ng and holds a B.S. in Mathematics from Zhejiang University (2020). His educational background: Ph.D. in Mathematics, The University of Hong Kong, 2024 B.S. in Mathematics, Zhejiang University, 2020 GAO Yihang's research spans Scientific Machine Learning, Optimization, Large Language Models, Data Science, and Tensor Computation. His work bridges mathematical theory and machine learning applications, focusing on neural network architectures, optimization algorithms, and generative modeling for scientific computing. Key contributions include theoretical analyses of Kolmogorov-Arnold Networks and efficient transformer frameworks. His publication record (2022-2025) reveals a strong interdisciplinary trajectory across top mathematics journals and AI conferences. Research trends emphasize physics-informed neural networks, transformer optimization, and tensor methods, with notable work on length extrapolation techniques and Wasserstein-based uncertainty quantification. Collaborations frequently involve HKU and NUS researchers. Scientific Awards: No awards listed in the provided information No information is available regarding students advised or research grants. His current work appears integrated within Prof. Tan's research group at NUS, focusing on information-theoretic aspects of machine learning. GAO Yihang maintains active engagement with computational mathematics communities through publications in venues like IEEE Transactions and NeurIPS, with recent work addressing transformer efficiency and neural network convergence properties.

Milica D. JovanovicView profile

Assistant Professor

• Wireless Sensor Networks
• Networks-on-Chip
• Communication Protocols
• +5 more

Milica D. Jovanovic is an Assistant Professor in the Department of Electronics at the Faculty of Electronics, University of Niš, Serbia. She has been with the institution since 2013, progressing from assistant trainee to her current academic rank, and holds a PhD earned in 2017 from the same faculty. PhD, Faculty of Electronics, University of Niš (2017) MSc, Microsystems Design and Engineering, Faculty of Electronics, University of Niš (2011) BSc, Computer Engineering and Informatics, Faculty of Electronics, University of Niš (2003) Her research centers on wireless sensor networks, networks-on-chip, and communication protocols, with a focus on MAC layer design, contention resolution, and indoor localization. She employs signal processing, fuzzy logic, and optimization techniques to enhance network performance and reliability. Her recent publications reflect a strong trend in improving communication efficiency and robustness in constrained environments such as wireless sensor networks and on-chip interconnects. Key themes include tone-based contention resolution, multi-channel MAC protocols, deflection routing, and UWB-based localization, placing her work at the intersection of embedded systems, networking, and signal processing. She is actively involved in one national and one international research project, contributing to both theoretical and applied aspects of electronic systems. Her work has appeared in high-impact journals including The Journal of Supercomputing , Expert Systems with Applications , and Computer Communications . She has collaborated extensively with researchers such as Igor Z. Stojanovic, Sandra Djosic, and Goran Lj. Djordjevic. While no formal advisees are listed, her involvement in doctoral studies and research projects suggests mentorship roles within her lab and department.

Zoran StajicView profile

Professor

• Electrical Power Engineering
• Power Systems
• Synchronous Machines
• +5 more

Zoran Stajic is a Full Professor at the Faculty of Electronics, University of Niš, Serbia, where he has been an academic since earning his PhD in 2001. He was promoted to Associate Professor in 2007 and Full Professor in 2012, both in the Department of Electrical Power Engineering. He holds a Master’s degree (1996) and a Bachelor’s degree (1993) from the same institution, all in Electrical Power Engineering. His research focuses on electrical power systems, with particular emphasis on synchronous and induction machines, mathematical modeling, and control systems. His work includes modeling of synchronous machine starting, rotor voltage effects in double-fed induction motors, and measurement systems for industrial applications such as pump station control. He also investigates power transformer protection and associated professional risks in engineering environments. The available publications span from 1997 to 2006 and reflect a strong focus on power engineering dynamics, modeling, and system protection. They appear in journals such as Facta Universitatis and Buletinul Stiintific al Universitatii "Politehnica" din Timisoara, covering topics in power systems, control, and safety. The research demonstrates consistent application of computational and mathematical tools to real-world electrical engineering problems. Currently, he is managing three research and development projects for the multinational company RADIUS Group, and is involved in two national research projects. His work bridges academic research and industrial application, particularly in power system design and engineering safety. He is affiliated with the Department of Electrical Power Engineering at the Faculty of Electronics, contributing to both education and applied research. While no formal advising of students is mentioned, his active project leadership suggests involvement in training researchers and engineers.

Горан Љ. ЂорђевићView profile

Professor

• Computer Networks
• Wireless Communications
• Localization Systems
• +3 more

Goran Lj. Djordjevic is a Professor at the Department of Electronics, Faculty of Electronic Engineering, University of Nis, Serbia. Appointed full professor in 2009 after progressive promotions from assistant professor (1999) to associate professor (2004), he represents a cornerstone of the institution where he completed all academic degrees. His three-decade career exemplifies deep institutional commitment and scholarly excellence in electronic engineering. His academic foundation was built entirely at the University of Nis: Diploma Engineer in Electronics (1989) Master of Science in Electronics (1994) Doctor of Philosophy in Electronics (1998) Professor Djordjevic's research forms three interconnected pillars: Networks-on-Chip (NoC) innovation with breakthroughs in deflection routing and port allocation; UWB localization systems solving multipath challenges in complex indoor environments through multi-algorithm fusion; and error control coding for storage systems with applications in optical media. His work consistently bridges theoretical rigor and practical implementation, evidenced by 22 impact-factor journal publications spanning VLSI design, wireless communications, and parallel computing. Analysis of his publication timeline reveals strategic evolution: recent work (2021-2022) focuses on real-world NoC optimization and robust indoor positioning, mid-career research (2015-2005) established CDMA bus architectures and fault-tolerance frameworks, while foundational contributions (2001, 1996) in constraint coding and task scheduling underpin his later breakthroughs. This trajectory demonstrates exceptional continuity in advancing communication reliability across hardware and software domains. Scientific recognition includes: No formal awards documented in source materials Regarding academic mentorship, while specific students aren't listed, his sustained research output implies active graduate supervision. Project funding shows zero current national grants, though international collaborations remain unspecified. His 22 impact-factor publications across IEEE, Elsevier, and Springer journals demonstrate consistent productivity through completed research initiatives, with recent work indicating ongoing laboratory activity in wireless and NoC domains.

• Computer Networks
• Cybersecurity
• Internet Protocols
• +3 more

Илија Башичевић is a Full Professor at the Department of Computer Technology and Computer Communications, Faculty of Technical Sciences, University of Novi Sad. He holds a PhD (2009), MSc (2001), and BSc (1998) from the same faculty. His teaching includes courses such as 'Fundamentals of Computer Networks 1' and 'Computer Communication and Networks 1.' Education: Bachelor of Science in Technical Sciences, Faculty of Technical Sciences, University of Novi Sad (1998) Master of Science in Technical Sciences, Faculty of Technical Sciences, University of Novi Sad (2001) Doctor of Science in Technical Sciences, Faculty of Technical Sciences, University of Novi Sad (2009) Research Interests: His expertise focuses on Internet protocols and computer network security , with over 100 publications in scientific journals and conferences. He has contributed to advanced topics such as network architecture, cybersecurity protocols, and distributed systems. Teaching and Advising: Dr. Башичевић has taught courses like 'System Software Support,' 'Computer Communication Networks,' and 'Computer Network Security.' While no specific student names are listed, his teaching and research roles imply extensive academic mentorship. Labs/Teams: His research aligns with the faculty's broader initiatives in computer science and telecommunications, though specific lab affiliations are not detailed.

• Computer-Based System Engineering
• Intelligent Distributed Systems
• Real-Time Systems
• +4 more

Мирослав Поповић is a Full Professor at the University of Novi Sad's Faculty of Technical Sciences (Department of Computer Technology). He holds a PhD (1990), MSc (1988), and BSc (1984) from the same institution. His primary responsibilities include teaching parallel programming, real-time systems programming, and computer networks/communications. Key roles: Head of the Computer Technology Chair Research focuses on embedded systems, real-time systems engineering, and cybersecurity Author of internationally recognized textbook Communication Protocol Engineering (2nd Ed., CRC Press, 2018) Scopus h-index 12 with 36 SCI journal articles and 120+ conference papers Has led numerous industry projects involving real-time systems and embedded solutions. Holds 5 patents and maintains active international collaboration through ORCID (http://orcid.org/0000-0001-8385-149X).

• Computer Vision
• Artificial Intelligence in Automotive Systems
• Image and Video Processing
• +3 more

Ненад Четић is an Associate Professor at the Department of Computer Communications, Faculty of Technical Sciences, University of Novi Sad. He obtained his Master's degree in 2007 and PhD in 2007-2019, focusing on embedded systems and voice-controlled IoT solutions. Parallel to his academic role, he serves as Program Director at TTTech Auto, developing software platforms for advanced driver-assistance systems (ADAS) and autonomous driving. Education: Bachelor's: Faculty of Technical Sciences, University of Novi Sad (2006) Master's: "Spectral Expansion Solution for Multichannel Digital Audio Decoders" (2007) PhD: "Wireless Acoustic Sensor Model for Voice Control in Smart Homes" (2007-2019) Research Focus: Computer vision, AI in automotive systems, voice interfaces, distributed system architectures, and embedded systems optimization. His research integrates machine learning into sensor networks and develops real-time distributed systems for automotive applications. He has authored numerous scientific publications on automotive software platforms and ADAS systems.

• Industrial Automation
• Control Systems
• Digital Signal Processing
• +3 more

Александар Ердељан is a Regular Professor at the Department of Automatic Control, part of the Faculty of Technical Sciences, University of Novi Sad. He leads the Section for Automation, Geomatics and System Control and holds a professorship in the Department of Automatic Control. His academic journey includes a diploma in Computer Technology and Control (1989), a master's in Automatic Control (1993), and a PhD in Distributed Control Systems (2000). He specializes in industrial automation technologies, including programmable logic controllers, digital regulators, data acquisition systems, and simulation/modeling. He has taught courses such as Automatic Control Systems, Simulation of Systems, Optimization Methods, and Computer-Aided Design. With over 50 scientific/publications, his work focuses on real-world applications of control systems and industrial automation. He speaks English and has actively contributed to the development and implementation of industrial control devices. His leadership roles include heading key academic sections within the Faculty of Technical Sciences.

• Informatics Education
• Educational Technology
• Cryptography in Education
• +3 more

Suzana Đorđević is an Assistant Professor at the Department of Natural Sciences, Mathematics and Computer Sciences, Faculty of Pedagogical Sciences, University of Kragujevac (Jagodina). Her work focuses on integrating information technologies into education, particularly in informatics and teacher training. She holds a Doctorate in Informatics with Teaching Methodology (2021) and prior degrees in theoretical mathematics (2016–2017). Education: Doctorate: Informatics with Teaching Methodology, Faculty of Pedagogical Sciences, University of Kragujevac (2021) Master’s: Mathematics – Theoretical Mathematics, Faculty of Natural Sciences and Mathematics, Kragujevac (2017) Bachelor’s: Mathematics – Theoretical Mathematics, Faculty of Natural Sciences and Mathematics, Kragujevac (2016) Research Interests: Cryptography in educational collaboration, ICT competency development for teachers, AI applications in STEM education, and gamification strategies for coding education. She actively participates in projects like the "Raising Digital Competencies of Teachers" (PODIKOM) and bilateral collaborations with Montenegro and Slovenia. Professional Contributions: Teaches courses such as Informatics in Education, Programming Methodology, and Web Development. Consultations are held Tuesdays at 2:15 PM. She has authored a textbook on Python programming and contributed to over a dozen peer-reviewed publications and conference proceedings. Awards: None explicitly listed, though her work aligns with recognitions in educational technology innovation.

• metallurgical engineering
• refractory materials
• material testing
• +6 more

Tatjana Volkov-Husović is a Full Professor at the Department of Metallurgical Engineering, Technical Faculty, University of Belgrade. She was elected to her professorship on February 1, 2012, and has maintained an active research and teaching career since then. Her office is located in the TMF large building, office 108, and she can be reached at tatjana@tmf.bg.ac.rs. Her research focuses on metallurgical engineering, particularly refractory materials, material testing including non-destructive methods, image analysis, ceramic materials, composite materials, and fuels and combustion. She has developed expertise in thermal stability of refractory materials, characterization methods for ceramics, and energy efficiency in metallurgical processes. Professor Volkov-Husović's publication record shows a consistent research trajectory with significant contributions to refractory materials science. Her work spans from fundamental studies of material properties to practical applications in industrial settings. Recent publications focus on silicon carbide-cordierite ceramics, nano-wetting phenomena, and thermal shock resistance of refractory materials, demonstrating her expertise in both traditional metallurgical concerns and emerging nanoscale material phenomena. She has supervised numerous doctoral, master's, and bachelor's theses, guiding students through research on refractory materials, combustion processes, and metallurgical equipment. Her mentoring has produced graduates working on topics ranging from energy efficiency in aluminum industry to refractory wall monitoring in blast furnaces. Professor Volkov-Husović has managed multiple research projects funded by the Ministry of Science, Technology and Development of the Republic of Serbia, focusing on the development of characterization methods for refractory materials and ceramic composites. She has also served as an expert for the European Commission, evaluating projects in various framework programs from 2003 through 2010. Her international experience includes a visiting professorship at the Far Eastern Federal University in Vladivostok in 2015 and research collaboration at the Max Planck Institute in Stuttgart in 2001. She has also participated in European Commission conferences, including the Enwise valorisation Conference in Tallinn, Estonia, in 2004.

• Machining Technology
• Cutting Temperature Modeling
• Tool Wear Prediction
• +6 more

Borislav Savković is an Associate Professor at the Faculty of Technical Sciences , University of Novi Sad , specializing in Production Engineering . He has held academic roles since 2008, including Teaching Associate, Assistant Professor, and Secretary of the Chair of Machining. Research Focus : Machining optimization, cutting temperature modeling, tool wear prediction, and sustainable production techniques. Methodologies : Neural networks, fuzzy logic, genetic algorithms, and factorial experimental design. His work spans materials science (ductile iron, aluminum alloys) and precision manufacturing, with publications in journals like Materials , Measurement , and Applied Sciences . He contributed to international conferences and co-authored a textbook on machining technology.

• Machine Tools
• Flexible Technological Systems
• Automatization of Design Processes
• +5 more

Cvijetin Mlađenović is an Assistant Professor at the Faculty of Technical Sciences, University of Novi Sad , specializing in machine tools, technological systems, and CAD/CAE/CAM integration. His research focuses on machining process optimization, thermal behavior modeling of machine components, and vibration analysis for manufacturing stability. Department: Chair of Computer Aided Technological Systems and Design His work leverages neural networks and machine learning to address challenges in machining parameter optimization and predictive maintenance. Recent publications (2022-2025) highlight applications in Ti-6Al-4V alloy machining, spindle thermal modeling, and small dataset-driven optimization. Key trends in his research include integrating artificial intelligence with traditional manufacturing methods, improving geometric accuracy via laser systems, and advancing hybrid mechanism design for machine tools. Notable projects include stability lobe diagram modeling and development of workpiece manipulation devices (patent 2012).

• Computer Aided Design
• Manufacturing Systems
• Machine Tools
• +6 more

Miloš Knežev is an Assistant Professor at the University of Novi Sad's Faculty of Technical Sciences, specifically within the Chair of Computer Aided Technological Systems and Design. He has been employed at the faculty since February 2016, progressing from Teaching Associate to Assistant-Master (2017-2023), and currently serving as an Assistant with PhD since February 2023. He also holds the position of Secretary of the Chair since November 2021. His research interests focus on computer-aided technological systems with particular expertise in spindle technology, thermal behavior modeling, and neural network applications in manufacturing processes. Dr. Knežev's work bridges theoretical modeling with practical industrial applications, particularly in high-speed machining systems and precision engineering. His publication record shows a clear progression in complexity and impact, with recent work focusing on neural network applications for machining parameter optimization and thermal behavior modeling of motorized spindles. His research combines computational methods with experimental validation, demonstrating expertise in both numerical simulation and physical testing of machine tool components. Dr. Knežev has published in reputable journals including Materials and Machine Design, with multiple conference presentations at international venues such as COMETa and KOD. His work consistently addresses critical challenges in manufacturing precision and machine tool performance. As an academic, he contributes to both research and teaching within the mechanical engineering domain, with a strong focus on the integration of computational methods and traditional manufacturing engineering principles. His position as Secretary of the Chair demonstrates additional administrative responsibilities within his academic unit.

• Metal Forming
• Plastic Deformation
• Surface Engineering
• +2 more

Plavka Skakun serves as Associate Professor at the Faculty of Technical Sciences, University of Novi Sad, Serbia, affiliated with the Department of Production Engineering and Chair of Forming Technologies and Surface Engineering. Her 30+ year career at the institution progressed from Intern Assistant (1990) to current Associate Professor (2020), with continuous contributions to metal forming research and education. Her academic credentials include: Bachelor's in Mechanical Engineering (1990, FTN) Magister in Mechanical Engineering (2001, FTN) PhD in Mechanical Engineering (2015, FTN) Professor Skakun specializes in experimental and computational analysis of metal forming processes , particularly cold/radial extrusion for gear manufacturing. Her work integrates plastic deformation theory, surface engineering, and virtual prototyping to optimize forming parameters and reduce production loads. Key innovations include flow relief opening techniques and strain distribution measurement methodologies applicable to aluminum and steel components. Analysis of her 12 publications (2005-2024) reveals consistent focus on experimental validation of metal forming processes, with recent work (2020-2024) emphasizing advanced materials characterization through metallography and image processing. Her research bridges theoretical modeling with industrial applications in gear manufacturing and agricultural machinery components. As an educator, she co-authored the 2002 laboratory manual Praktikum laboratorijskih vežbi iz tehnologije plastičnosti and teaches core courses in plastic deformation technology within the Department of Production Engineering.

Danijela TešendićView profile

Associate Professor

• Machine Learning
• Computer Vision
• Environmental Monitoring
• +2 more

Danijela Tešendić serves as an Associate Professor in the Department of Mathematics and Informatics at the Faculty of Sciences, University of Novi Sad. Her office is located in the Information Technologies and Systems office (DMI&DF), second floor, room 50, with contact details including telephone (485)-2873 and email tesendic@dmi.uns.ac.rs. She maintains a professional presence through her website at http://www.is.pmf.uns.ac.rs/daca/. Her research demonstrates dual expertise in environmental monitoring systems and library information technology. Recent work (2022-2025) focuses on machine learning applications for airborne pollen classification using CNN architectures and domain adaptation techniques, contributing to standardization frameworks in environmental science. Earlier contributions (2013-2019) established foundational work in library management systems, particularly through the BISIS software platform, business intelligence integration, and mobile accessibility solutions for visually impaired patrons. Analysis of her publication trajectory reveals a strategic shift toward interdisciplinary environmental informatics while maintaining connections to information systems. Her pollen monitoring research bridges computer vision with ecological applications, emphasizing real-time processing and cross-device compatibility. Concurrently, her library science work pioneered cloud-based service models and inclusive design principles, showcasing adaptable technical frameworks across distinct domains. Scientific Awards No awards or honors were documented in the provided materials. Advising and Grants Student mentorship details are absent from the source text. No research grants or funding sources are explicitly referenced.