جستجوی استاد راهنمای دانشگاهی

• Project Management
• Operational Management
• Retail Logistics
• +۳ مورد دیگر

Goran Avlijas serves as an Assistant Professor at Singidunum University's Faculty of Business in Belgrade, Serbia. His academic profile spans project management, operational research, and retail logistics with significant industry experience at Delta Holding, Strabag AG, and Efektus Consulting Group. His research interests focus on project management methodologies including Agile and Earned Value Management, retail operations optimization through automatic replenishment systems, and sustainable project control . Current work examines gig economy impacts on well-being and pandemic business resilience. Recent publications demonstrate strong emphasis on Quantitative project risk analysis using Monte Carlo simulation Retail inventory management and stock-out reduction Agile methodology implementation in Serbian business context Sustainable infrastructure project valuation Professional recognitions include: Project Management Professional (PMP) Professional in Business Analysis (PMI-PBA) Agile Certified Practitioner (PMI-ACP) He actively participates in Erasmus+ programs as both teacher and mentor, notably guiding Serbia's championship-winning team at the 2020 International Project Management Championships. His academic contributions include two textbooks on Project Management and Entrepreneurship, along with numerous international conference participations as scientific committee member and reviewer. Avlijas maintains strong industry-academia connections through PMI membership and consulting engagements, while contributing to higher education accreditation processes as a National Accreditation Body delegate.

• Artificial Intelligence
• Optimization
• Machine Learning
• +۷ مورد دیگر

Sebastian Pokutta is a Professor at Technische Universität Berlin, Vice President at the Zuse Institute Berlin (ZIB), and Chair of the Cluster of Excellence MATH+ and MODAL. His research lies at the intersection of Artificial Intelligence, Optimization, and Machine Learning, with applications in sustainability, quantum computing, and mathematical discovery. Research Interests: Development of novel optimization algorithms, particularly Frank-Wolfe and Conditional Gradient methods. Integration of machine learning with decision-making and combinatorial optimization. AI for Science (AI4Science), including applications in quantum mechanics and ecology. AI and creativity, human-AI co-creativity, and social science modeling using multi-agent LLMs. His recent publications (2025) demonstrate a strong focus on scalable optimization, interpretability, and algorithmic foundations. The work spans theoretical advances in convergence analysis, practical implementations in Julia (FrankWolfe.jl), and real-world deployments in biomass estimation and quantum certification. Scientific Awards: Gödel Prize (2023) STOC Test of Time Award (2022) Science Prize of the Association for Pediatric Orthopedics (2025) Google Research Awards (2021, 2020) NSF CAREER Award (2015) He advises a vibrant research group, with former students and postdocs securing faculty positions at institutions like Inria, Carlos III University, and James Madison University. His group has received funding from Google, DFG, and Math+, and he leads major collaborative efforts such as the Thematic Einstein Semester on Mathematical Optimization for Machine Learning. Labs and Teams: Interactive Optimization and Learning Lab at TU Berlin and ZIB. Leadership in MODAL and MATH+ research clusters, fostering interdisciplinary collaboration in mathematical optimization and AI.

Blerim Rexhaمشاهده پروفایل

استاد

• Cybersecurity
• Blockchain Technology
• Machine Learning
• +۵ مورد دیگر

Prof. Blerim Rexha is a full professor at the University of Prishtina's Faculty of Electrical and Computer Engineering, Kosovo. With a Ph.D. in Computer Engineering from Vienna University of Technology (2004), he has led research in cybersecurity, blockchain, machine learning, and electronic voting systems. His teaching portfolio includes data, computer, and internet security courses. Education : Ph.D. in Computer Engineering (Vienna), Electrical Engineer MSc (Prishtina), specialized certifications in software engineering, biometrics, and .NET programming. His research spans cybersecurity (DDoS mitigation, face authentication attacks), blockchain applications (electronic voting bridges, transaction privacy), and machine learning integration (boosted trees for intrusion detection, LSTM for vulnerability scanning). He has contributed to cloud security through novel encryption methods and AI-driven attack detection. Recent publications focus on energy efficiency in cloud vs on-premises systems, XGBoost/CatBoost/LightGBM comparisons for network security, and blockchain bridges for e-voting. His work has addressed privacy preservation in video data, SMS encryption, and eID card pseudo-profiles. Awards include the 2024 Marin Barleti Prize for academic contributions and Best Paper Awards in election security (2015) and Kosovo website vulnerabilities (2013). Honors : Marin Barleti Prize (2024) Cyber Security Ambassador (2018) ICT Academician of the Year (2016) Best Paper Awards (2015, 2013) As academic advisor to the KosovaCyberTeam , he mentors students like Korab Keqekolla and Abian Morina. His leadership extends to Kosovo's Cyber Security State Training Center curriculum development and jury roles in Albanian ICT Awards .

Zoran J. Stankovicمشاهده پروفایل

استاد

• Antenna Design and Optimization
• Direction of Arrival (DoA) Estimation
• Artificial Neural Networks in Electromagnetics
• +۷ مورد دیگر

Zoran J. Stankovic is a Full Professor at the Faculty of Electronics, University of Niš, Serbia, in the Department of Telecommunications. He has been an integral part of the institution since earning his PhD in 2007, progressing from Assistant to Associate Professor (2020) and Full Professor (2024). He is actively involved in research, education, and academic leadership. Education: PhD in Telecommunications, Faculty of Electronics, University of Niš (2007) Master's in Telecommunications, Faculty of Electronics, University of Niš (2002) Bachelor's in Electronics and Telecommunications, Faculty of Electronics, University of Niš (1994) His research focuses on applying artificial neural networks to solve complex problems in electromagnetics and wireless systems. Key areas include antenna design optimization , direction-of-arrival (DoA) estimation , microwave cavity modeling , and smart textile antennas . His work bridges machine learning with electromagnetic theory, enabling efficient and adaptive RF system design. The analysis of his recent publications reveals a strong trend in using deep and hybrid neural networks for electromagnetic modeling and signal processing. His research emphasizes real-world applications such as wearable antennas, mobile source tracking, and intelligent antenna systems, often published in high-impact IEEE and Wiley journals. Scientific Awards: Commemorative Plaque from the Yugoslav Society for Microwave Techniques and Technologies (2005) for outstanding scientific results in microwave engineering Advising and Grants: While specific students are not listed, he has supervised numerous academic works. He has participated in 17 research projects (13 national, 4 international including DAAD, NATO, COST) and 8 educational development projects (including ERASMUS+, TEMPUS, WUS). These reflect sustained funding and academic collaboration. Labs and Teams: He is the founder and head of the Laboratory for Antennas and Propagation at the Faculty of Electronics, Niš. He is actively involved in organizing and leading the international conferences TELSIKS and ICEST , serving on their program and organizational committees, demonstrating strong leadership in the academic community.

Miloš Rackovićمشاهده پروفایل

استاد

• Artificial Intelligence
• Machine Learning
• Databases
• +۴ مورد دیگر

Miloš Racković serves as a full Professor in the Department of Mathematics and Informatics at the University of Novi Sad, Serbia. He maintains active academic engagement through the Laboratory for the development of information systems, with his office located in the Information technologies and systems office (DMI&DF) on the second floor, room 49. Contact is available via telephone (485)-2868 or email rackovic@dmi.uns.ac.rs, and his personal website (http://www.is.pmf.uns.ac.rs/rackovicm/) provides additional resources. His research spans foundational and applied computer science, with seminal contributions in fuzzy database systems including PFSQL query language development and prioritized fuzzy logic for relational databases and XML. He has pioneered deep learning methodologies through innovative classification techniques using negative and missing features in convolutional neural networks. Additional expertise includes high-performance computing implementations of Lattice Boltzmann methods using OpenCL, robotics (symbolic modeling and trajectory planning), and blockchain applications for Industry 4.0 production processes. His sports analytics work applies neural networks to basketball player and referee movement analysis. Analysis of his 2012-2025 publications reveals a strategic evolution toward interdisciplinary applications, particularly in industrial transformation (blockchain-enabled traceability) and sports analytics. His work consistently bridges theoretical computer science with practical implementations, demonstrating increasing focus on real-world problem solving while maintaining strong foundations in database theory and computational methods. Professor Racković leads the Laboratory for the development of information systems, which focuses on advancing information system methodologies through formal modeling extensions (including Petri net innovations) and practical implementations for uncertainty management. The laboratory's work spans from foundational research in fuzzy logic systems to applied projects in high-performance computing and blockchain integration, fostering innovation in information technology development.

• Control Systems
• Machine Learning
• Robotics
• +۶ مورد دیگر

Marko Tanasković is a researcher at Singidunum University's Faculty of Informatics and Computing, specializing in control systems, robotics, and electrical engineering. He holds a PhD from ETH Zurich (2015) in Information Technology and Electrical Engineering, following degrees from University of Belgrade (BEng, 2009) and ETH Zurich (MEng, 2011). His research focuses on adaptive control systems, machine learning applications in engineering, and sensorless motor control. Key contributions include: Development of predictive algorithms for traffic systems and industrial automation Innovations in rotor orientation determination for PMSM motors Integration of AI in fraud detection and building climate control Recent work includes a 2024 study on wearable health monitoring devices and a 2022 paper on drone forensics. He has authored/co-authored over 15 peer-reviewed articles and holds patents in motor control technologies. Current affiliations include Singidunum University's Department of Electrical Engineering and Collaboration with ETH Zurich alumni networks. Active in international conferences such as Sinteza and IEEE events.

• Mechanical Engineering
• Machine Design
• Tribology
• +۴ مورد دیگر

Miloš Matejić serves as an Associate Professor at the University of Kragujevac's Faculty of Engineering Sciences, within the Department of Mechanical Constructions and Mechanization. His academic position involves active research and teaching in mechanical systems design. Research interests center on advanced mechanical engineering topics including: Cycloid drive efficiency optimization and stress analysis Tribological testing methodologies and material interactions Computational modeling of gear systems using FEM Parametric design automation for mechanical components Composite materials performance in dynamic applications Recent publications demonstrate strong focus on experimental validation of cycloid reducers, novel tribometers, and material optimization. No awards, student advisories, or grant activities are documented in available sources. Institutional collaboration occurs through the Faculty of Engineering Sciences' laboratories and research centers.

Marko T. Milojkovicمشاهده پروفایل

استاد

• Control Systems
• Signal Processing
• Neural Networks
• +۴ مورد دیگر

Marko T. Milojkovic is a full professor at the Faculty of Electronics, University of Nis, leading the Department of Automation since 2022. He holds a PhD in Systems Management (2012), Master's in Automation (2008), and a Bachelor's in Computer Engineering & Informatics (2003), all from the same institution. His research focuses on adaptive control systems, neural networks, and dynamical systems modeling, with 27 papers in impact-factor journals. He currently heads the Laboratory for Modeling, Simulation and Systems Management and participates in 2 national and 2 international projects. Education: PhD: Systems Management (2012) MSc: Automation (2008) BSc: Computer Engineering & Informatics (2003) Research interests include neuro-fuzzy systems, MIMO system optimization, and endocrine neural networks applied to adaptive control. His publications demonstrate expertise in quasi-orthogonal filters, sliding mode control, and time-series forecasting. No scientific awards are explicitly mentioned, but his extensive project participation highlights active collaboration in control systems and automation. Prof. Milojkovic's work bridges theoretical modeling and practical applications, with recent emphasis on intelligent control systems and nonlinear dynamics. His laboratory facilitates interdisciplinary projects addressing complex system management challenges.

• Computational Chemistry
• Inorganic Chemistry
• Transition Metal Complexes
• +۳ مورد دیگر

Miloš K. Milčić is an Associate Professor at the Department of General and Inorganic Chemistry, Faculty of Chemistry, University of Belgrade. He holds a Ph.D. in Chemistry from the same institution and has been affiliated with the Faculty since 1999. His research focuses on computational chemistry, transition metal complexes, and molecular interactions, with a particular emphasis on crystal engineering and quantum chemical modeling. He has contributed to projects funded by the European Commission, Science Fund of Serbia, and international bodies. Education: Bachelor’s in Chemistry (1992–1998), Faculty of Chemistry, University of Belgrade Master’s in Chemistry (1998–2002), Faculty of Chemistry, University of Belgrade PhD in Chemistry (2002–2006), Faculty of Chemistry, University of Belgrade Research interests include computational studies of transition metal complexes, cation-π interactions, hydrogen bonding in porphyrin systems, and molecular modeling of catalytic materials. His work bridges theoretical chemistry and experimental crystallography, addressing fundamental questions in inorganic and organometallic chemistry. Key projects: IMPTOX (2021–2025): Investigating microplastic toxicity funded by Horizon 2020 TMMagCat (2022–2025): Designing molecular magnets funded by Serbia’s Science Fund ALG2MEAT (2023–2025): Algal extracts for cell-based meat funded by the Good Food Institute He has served as Vice Dean for Academic Affairs (2010–2013) and on committees for admissions and publishing. His work has been recognized through ORCID (0000-0002-0082-5278) and Scopus (ID 6507079694).

Olga Ristićمشاهده پروفایل

دانشیار

• Software Testing
• Information Technologies
• Modeling and Simulation
• +۵ مورد دیگر

Olga Ristić is an Associate Professor at the Department of Information Technologies, Faculty of Technical Sciences Čačak, University of Kragujevac, Serbia. Her office is located at Svetog Save 65, Čačak (Office No. 237), and she can be contacted via phone (+381 32 302-714) or email. She holds a Diploma in Technics and Informatics (1997), a Master's in Technical Sciences (2006), and a PhD in Information Technologies and Systems (2016), all from the University of Kragujevac. Her research focuses on: Software testing methodologies and quality assurance Modeling and simulation of complex systems Optimization algorithms for industrial applications Educational technology and IT pedagogy Mobile applications and information systems reliability Her recent publications emphasize interdisciplinary approaches, with strong trends in machine learning applications for cybersecurity, optimization in Industry 4.0 systems, educational technology innovations, and sustainable energy management. She frequently employs simulation techniques and algorithm development across diverse domains. She has led or contributed to eight Ministry of Science-funded projects: Curriculum development for IT education programs Software quality assurance frameworks Industrial system reliability modeling Food supply chain optimization Deregulated energy distribution systems At the Faculty of Technical Sciences, she coordinates courses across all academic levels, including Data Structures, Software Testing, Mobile Applications, and Quality of Software. She also conducts professional development seminars on database design and ISTQB certification.

Dragan D. Mancicمشاهده پروفایل

استاد

• Electronics
• Power Electronics
• Ultrasonic Transducers
• +۱۲ مورد دیگر

Dragan D. Mancic is a full professor at the Faculty of Electronics, University of Niš, Serbia, where he has been actively contributing since earning his PhD in 2002. He holds a permanent academic position in the Department of Electronics and continues to engage in national research projects and scientific publications. Research Interests: His work spans electronics, power electronics, ultrasonic transducers, piezoceramics, impedance spectroscopy, and thermal modeling. He applies these to areas such as renewable energy systems, friction stir welding, and ceramic material characterization. His interdisciplinary focus bridges electrical engineering, materials science, and applied physics. The recent publications highlight consistent research in transducer design, thermal analysis in manufacturing, and electrical characterization of doped ceramics. These works reflect a strong trend toward modeling, simulation, and experimental validation in both biomedical and industrial applications. Scientific Projects: EE-273023B: Development of solar radiation receivers TR-33035: Grid-connected rotating photovoltaic system III-43014: Remote sensing and environmental monitoring Dr. Mancic has co-authored three monographs and has 15 publications in journals with impact factors. He advises students and researchers through collaborative projects and academic supervision, though specific advisees are not listed. He is actively involved in scientific research management under the Ministry of Science. Labs and Research Teams: He collaborates within research groups focused on power electronics, ultrasonic systems, and advanced materials at the Faculty of Electronics in Niš, contributing to both theoretical and applied engineering solutions.

• Electromagnetic Compatibility (EMC)
• Lightning Electromagnetic Fields
• Lightning Current Modeling
• +۷ مورد دیگر

Vesna Javor is a Full Professor at the Faculty of Electronics, University of Niš, Serbia, where she is affiliated with the Department of Electrical Power Engineering. She earned her PhD in 2009 and completed her undergraduate studies in 1999, both in Theoretical Electrical Engineering at the same institution. She was promoted to full professor in 2023. Her research focuses on lightning electromagnetic fields , lightning current modeling , electromagnetic compatibility (EMC) , and power system transients . She has made significant contributions to modeling double- and two-peaked lightning currents, Fourier transform applications in field computation, and compliance with IEC 62305 standards. Her work bridges theoretical electrical engineering with practical applications in high-voltage systems and medical device safety. The recent publications (2009–2012) reflect a strong focus on lightning physics, transient electromagnetic phenomena, and EMC. They span modeling techniques, standard compliance, and real-world deployment of lightning detection networks. Keywords across these works include Electromagnetics, Power Systems, and Signal Processing, with subfields ranging from return-stroke dynamics to medical EMC. Scientific and Professional Leadership: President of the IEEE EMC Chapter Head of DAAD Project 'Electrical Engineering' (2005–2006) President of the Organizing Committee of the biennial PES Conference Author of 3 textbooks and ~80 scientific papers She is currently participating in 2 national and 1 international research project . While no formal advising or grant details are listed, her role as a full professor and project leader suggests active mentorship and research leadership. She has contributed to international monographs and advanced educational and research initiatives at her faculty. She is associated with the research environment at the Faculty of Electronics, particularly in high-voltage and EMC research, and has led efforts in deploying the European LINET lightning detection network in Serbia.

• Additive Manufacturing
• Plastic Deformation Technology
• Metal Forming
• +۳ مورد دیگر

Dejan Movrin is an Associate Professor at the Chair of Forming Technologies and Surface Engineering within the Faculty of Technical Sciences, University of Novi Sad. His career progression includes prior roles as Assistant Professor (2018-2023), Professional Associate-Laboratory (2017), and Teaching Associate (2009-2011) at the same institution. He holds a PhD in Mechanical Engineering (2017), a Master's (2013), and a Bachelor's (2005), all from the Faculty of Technical Sciences. His research focuses on additive manufacturing (FDM, binder jetting), metal forming (cold extrusion, forging, upsetting), and biomaterial processing . Key areas include optimizing 3D printing parameters, deformation analysis in metalworking, and applications in biomedical scaffolds. His work integrates experimental validation with computational modeling. Recent publications emphasize advanced manufacturing techniques , with trends in biopolymer characterization, insole biomechanics, membrane technology, and textile electronics. Articles frequently explore process-structure-property relationships in additive manufacturing and sustainable material design. He collaborates extensively within the Chair of Forming Technologies and Surface Engineering, contributing to projects on severe plastic deformation, tool design, and precision manufacturing. No awards or supervised students are documented.

• Production Technologies
• Mechanical Engineering
• Computer-Aided Design (CAD)
• +۳ مورد دیگر

Dr. Anđelija Mitrović is an Assistant Professor at the Department of Mechatronics, Faculty of Technical Sciences in Čačak, University of Kragujevac. She holds a PhD in Technical Sciences (Mechanical Engineering) from 2016 and Master of Science in Information Technology from 2010. Her academic career spans multiple institutions including College of Technical Vocational Studies Čačak (2006-2011) and Faculty of Technical Sciences Čačak (2020-present). BSc in Hydropower Engineering, Mechanical Engineering Faculty Belgrade (1996) Profesor in Engineering and Informatics, Technology Faculty Čačak (2006) MSc in Information Technology, Technology Faculty Čačak (2010) PhD in Technical Sciences, Faculty of Technical Sciences Novi Sad (2016) Her research focuses on Production Technologies with emphasis on metal cutting thermal analysis, CAD/CAM systems, and educational technology innovations. Key research trends include: Thermal modeling in conventional and unconventional machining 3D virtual environment applications for engineering education Finite element analysis of milling processes Software-based cutting parameter optimization Integration of immersive learning platforms Publications demonstrate expertise in Thermal Analysis , Manufacturing Simulation , and Virtual Learning Environments . While no formal awards are listed, her work appears in reputable journals and international conference proceedings.

• Electromagnetics
• Numerical Methods in Electrical Engineering
• Measurement Uncertainty Analysis
• +۳ مورد دیگر

Srđan Divac is a Teaching Assistant at the Department of General Electrical Engineering and Electronics within the Faculty of Technical Sciences, University of Kragujevac . He earned his PhD in 2025 (average grade: 9.88) after completing his master's (2018, grade: 10) and bachelor's (2017, grade: 9.67) studies at the same institution. His research focuses on: Numerical methods in electromagnetics Measurement uncertainty analysis for electrical machines Dynamic hysteresis modeling in ferromagnetic materials Harmonic interpolation techniques for nonlinear circuits Instantaneous magnetisation power analysis Equivalent circuit parameter estimation Key article trends include simulation of magnetic hysteresis loops, electromagnetic computation for power systems, and advanced modeling of ferromagnetic and permalloy materials under varying excitation frequencies. His work appears in journals like Applied Sciences and Energies , as well as conferences such as IcETRAN and PES .