جستجوی استاد راهنمای دانشگاهی

Milan Tubaمشاهده پروفایل

استاد

• Nature-inspired optimization algorithms
• Image Processing
• Neural Networks
• +۵ مورد دیگر

Milan Tuba is a Professor of Computer Science and Mathematics at Singidunum University in Belgrade, Serbia. He holds academic roles including former Vice Rector for International Relations at Singidunum University, Head of the Department for Mathematical Sciences at State University of Novi Pazar, and Dean of the Graduate School of Computer Science at John Naisbitt University. His expertise spans multiple institutions, including Vanderbilt University and New York University in the U.S., where he led NSF projects and founded the Microprocessor Lab and VLSI Lab. Education: He earned B.S., M.S., and Ph.D. degrees in Mathematics and Computer Science from the University of Belgrade and New York University. Research Interests: Tuba focuses on nature-inspired optimization algorithms applied to image processing, neural networks, and computer networks. His work integrates metaheuristics with machine learning, addressing challenges in healthcare, energy forecasting, and cloud computing. Recent projects include developing optimized algorithms for medical image analysis, wind energy prediction, and cloud resource scheduling. Scientific Contributions: With over 300 publications (h-index 53), he has authored/co-edited books on topics like target localization and hardware design. His awards include inclusion in Stanford University's top 2% global scientists list (2020–2024). Advising & Leadership: Tuba has mentored dozens of PhD/Master's students across universities in Serbia, Bosnia, and the U.S. He leads research groups and serves on editorial boards for journals and conferences. His labs focus on VLSI design, neural networks, and optimization. Labs/Teams: Founder of Microprocessor Lab and VLSI Lab at U.S. institutions, and currently directs AI-focused research at Singidunum University.

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

Miodrag Živković is a Professor at Singidunum University, specializing in Computer Science and Artificial Intelligence. He holds a Doctorate in Software Engineering from the School of Electrical Engineering, Belgrade (2008–2014) and a Bachelor's in Computer Science and Informatics (2001–2007). His research focuses on machine learning, cybersecurity, and metaheuristic optimization, with applications in IoT, healthcare, and environmental monitoring. He has authored multiple books on software development and programming, including Razvoj mobilnih aplikacija (2020) and Programski jezici, veb servisi i napredno Java programiranje (2019). Education: Doctorate in Software Engineering (School of Electrical Engineering, Belgrade), Bachelor's in Computer Science and Informatics. Research Interests: Cybersecurity frameworks, neural networks, explainable AI, IoT systems, and optimization algorithms for predictive modeling. His work spans over 150 peer-reviewed articles, including studies on metaverse security, waste classification using CNNs, and benzene pollution forecasting. He frequently publishes in journals like Engineering Applications of Artificial Intelligence and Applied Soft Computing , and contributes to conferences such as Sinteza and IEEE Symposia. Key projects include developing AI-driven intrusion detection systems, optimizing renewable energy forecasts via hybrid networks, and leveraging metaheuristics for medical diagnostics. His interdisciplinary approach bridges theoretical advancements with practical applications in smart grids, healthcare, and environmental sustainability.

• Artificial Intelligence
• Machine Learning
• Optimization Algorithms
• +۳ مورد دیگر

Timea Bezdan is a researcher at Singidunum University, specializing in artificial intelligence, machine learning, and optimization algorithms. She holds a doctoral degree in Advanced Protection Systems (2021-2024) from Singidunum University, following master's degrees in Contemporary Information Technologies (2020-2021) and bachelor's degrees in Software and Data Engineering (2017-2020) and Marketing and Management (2013-2017). Her research focuses on applying AI to environmental science, healthcare, and computational efficiency, with notable work on air pollution modeling, disease detection, and algorithm optimization. Key research interests include neural network architecture design, hybrid metaheuristic approaches, and bias mitigation in AI systems. Recent projects address demographic bias in age estimation models and energy-efficient cloud-edge computing. Her work spans interdisciplinary collaborations, integrating machine learning with environmental monitoring and medical diagnostics. Education: Doctoral studies: Advanced Protection Systems, Singidunum University (2021–2024) Master's: Contemporary Information Technologies, Singidunum University (2020–2021) Bachelor's: Software and Data Engineering, Singidunum University (2017–2020) Bachelor's: Marketing and Management, Singidunum University (2013–2017) Publications highlight contributions to AI-driven environmental analysis, healthcare applications (e.g., Parkinson’s disease detection), and optimization techniques for neural networks. Her work often combines metaheuristic algorithms like firefly, bat, and particle swarm optimization with machine learning frameworks. Research groups and collaborations include Singidunum University’s Institute for Applied AI, with active participation in international conferences such as IEEE Symposia and Sinteza. Ongoing projects focus on explainable AI for emotion recognition and AI-based crisis analysis of environmental pollutants.

Milan Tairمشاهده پروفایل

پژوهشگر

• Computer Science
• Artificial Intelligence
• Web Development
• +۳ مورد دیگر

Milan Tair is a researcher at the University of Singidunum, affiliated with the Faculty of Informatics and Computing and the Department of Postgraduate Studies . His academic work spans topics in computer science, web technologies, and optimization algorithms. Doctoral Studies : Electrical Engineering and Computing (2016–2022) Master's Studies : Contemporary Information Technologies (2012–2013) Undergraduate Studies : Programming and Design (2008–2012) His research interests focus on artificial intelligence , web development , cybersecurity , and optimization algorithms , as evidenced by his publications in journals and conference proceedings. Recent publications highlight his work on hybrid metaheuristic algorithms applied to intrusion detection, medical diagnostics, and web quality evaluation. His studies also explore adaptive web technologies, database systems, and mobile computing solutions. Milan has authored or co-authored works on topics including: Optimization of machine learning models (XGBoost tuning, swarm intelligence) Web performance and security (AES encryption, HTTP header licensing) Adaptive web formats (multi-layered image compression) Usability in multilingual web design

• Artificial Intelligence
• Machine Learning
• Optimization Algorithms
• +۳ مورد دیگر

Aleksandar Petrović is a researcher and academic at Singidunum University, currently finishing his doctoral studies in Intelligent Software Engineering. He holds a B.Sc. and M.Sc. in Informatics and Computing from Singidunum University. His work focuses on artificial intelligence, machine learning, and optimization algorithms applied to cybersecurity, healthcare, and agriculture. He has published over 50 scientific papers in top-tier journals and conferences. Education : Bachelor of Science (2017-2021): Informatics and Computing, Singidunum University Master of Science (2021-2022): Software and Information Engineering, Singidunum University Doctoral Studies (2022-): Intelligent Software Engineering, Singidunum University Research Interests : Petrović specializes in metaheuristic optimization techniques for machine learning models, with applications in: Cybersecurity (e.g., intrusion detection, SQL injection prevention) Healthcare (e.g., ECG anomaly detection, Parkinson’s disease analysis) Agriculture (e.g., crop yield forecasting, weed detection) Key Research Trends : His recent work emphasizes hybrid models combining recurrent neural networks (RNNs), attention mechanisms, and evolutionary algorithms (e.g., Salp Swarm, Firefly). He frequently explores real-world challenges like renewable energy forecasting and generative adversarial networks (GANs) for synthetic data generation. Advising & Grants : Petrović collaborates on projects funded by Singidunum University and international partners, focusing on AI-driven solutions for smart cities and healthcare. His lab develops tools like Singibot (AI chatbot) and YOLOv8-based surveillance systems. Labs/Teams : Participates in the Singidunum AI Research Group, working on cross-disciplinary projects involving machine learning, robotics, and IoT security.

• Machine Learning
• Optimization Algorithms
• Computer Vision
• +۳ مورد دیگر

Ana Vesić is affiliated with Singidunum University, holding a Master's degree in Media and Human-Centered Computing from the Technical University of Vienna (2022) and a Bachelor's in Software and Data Engineering from Singidunum University (2018-2022). Her research focuses on machine learning, optimization algorithms, and their applications in healthcare, agriculture, and computer vision. She has authored multiple peer-reviewed articles on topics such as AI-driven medical image classification, agricultural automation, and emotion detection systems. Education: Master's in Media and Human-Centered Computing, Technical University of Vienna (2022) Bachelor's in Software and Data Engineering, Singidunum University (2018–2022) Research Interests: Her work bridges AI and real-world challenges, emphasizing optimization techniques for machine learning models (e.g., Animal Migration Optimization, Multi-verse Optimizer) and their deployment in healthcare diagnostics, agricultural sustainability, and behavioral analysis. Her projects include developing tools like EAGRO for precision farming and analyzing hidden emotional states through facial recognition. Awards: Helmut-Veith stipend award (2021) for promoting excellence in women in computer science (Vienna University of Technology) Grants & Collaborations: Her research has been supported by stipends and industry collaborations, including work with the Development and Testing Center (DTC) in Belgrade and the Serbian Games Association (SGA). She has presented at international conferences such as IEEE ZINC, Sinteza, and INFUS. Labs & Teams: She contributes to Singidunum University's research initiatives in applied informatics and AI, with a focus on interdisciplinary projects merging technology and societal needs.

• Information Systems
• Data Warehousing
• Database Management
• +۵ مورد دیگر

Dr. Nataša Goјgić is a Professor of Applied Studies at the Department of Information Technologies, Faculty of Technical Sciences Čačak, University of Kragujevac. Her academic career spans decades of teaching and research in information systems, databases, and technology-enhanced education. Military Technical Faculty in Zagreb (Mechanical Engineering) Master's in Information Systems at Technical Faculty Čačak PhD in Information Systems Integration and Quality Management Dr. Goјgić's research focuses on information systems , data warehousing , and educational technology . Her publications reveal strong interests in: Business Intelligence and OLAP systems Regression algorithms in healthcare E-learning platforms and teaching methodologies Quality Management Systems (QMS) integration Database monitoring and financial technology She has pioneered the use of information systems in academic quality assurance and developed teaching materials for database systems. Her work bridges industrial engineering and modern information technologies.

Milos Bogdanovicمشاهده پروفایل

دانشیار

• Computing
• Informatics
• Computer Science
• +۳ مورد دیگر

Milos Bogdanovic is an Associate Professor at the Faculty of Electronics, University of Niš, specializing in Computing and Informatics. He is actively engaged in academic research and teaching within the Department of Computing, contributing to both undergraduate and graduate programs in electronics and information technologies. His research focuses on core areas of computing and informatics, including software development, data systems, and information processing. These interests align with the technological and scientific mission of the Faculty of Electronics, supporting innovation in digital systems and computational methods. The available publications indicate active scholarly engagement, particularly in journals with impact factors, though specific titles are not listed. His work appears to center on applied computing, suggesting relevance to engineering and information technology domains. Participation in ongoing national research projects Participation in ongoing international research projects He contributes to the academic community through research supervision and project involvement, although specific advisees are not named. His work is supported by institutional and project-based funding, reflecting integration into broader scientific networks. Milos Bogdanovic is affiliated with the research and educational infrastructure of the Faculty of Electronics, which includes specialized departments and laboratories in computing, telecommunications, and microelectronics, enabling interdisciplinary collaboration and technological advancement.

• Computer Science
• Information Technology
• Electrical Engineering
• +۴ مورد دیگر

Сузана Р. Стојковић is a full Professor at the Faculty of Electronics, University of Niš, where she was elected to the rank of Professor in 2022 in the field of Computing and Informatics. She previously held the position of Associate Professor at the same institution from 2005 in Electrical Engineering and Computing. Her academic credentials include a PhD, a Master's degree earned in 1996, and a Diploma obtained in 1990, all from the Faculty of Electronics. Her research focuses on advanced topics in computer science and electrical engineering, including multiple-valued logic systems, spectral analysis techniques for ternary functions, optimization of decision diagrams, and applications of Walsh-Hadamard transformations. She develops computational methods for logic minimization and signal processing. Analysis of her publications reveals concentrated expertise in spectral methods applied to ternary logic systems, with innovations in decision diagram optimization and function decomposition techniques. Her work bridges theoretical computer science and practical implementations in digital design. She is currently involved in undisclosed national and international research projects but maintains an active academic profile without noted laboratory affiliations or student advising activities.

Danko Milasinovicمشاهده پروفایل

استاد

• Applied computer science
• Programming and software development
• Computer simulations
• +۶ مورد دیگر

Dr. Danko Milašinović is a Full Professor at the Faculty of Physics and Mathematics, University of Kragujevac, specializing in Applied Computer Science. His academic career spans teaching and research roles since obtaining his Doctorate of Science in 2011. Education: BS in Physics (2006), PhD in Computer Science (2011) from University of Kragujevac International engagement: Research collaboration at University of Jyväskylä, Finland (2009) His research focuses on programming, software development, computer simulations, and biomedical engineering applications. Recent work includes developing open-source frameworks for finite element analysis (dfemtoolz, OpenMandible) and deep learning systems for industrial safety compliance. He has contributed to tourism informatics through subjects like Business Informatics and Information and Communication Technologies in Hospitality and Tourism . His publications span M21/Q1 journals in biomedical engineering, computer science, and tourism technology. Key projects: ARTreat (FP7), SEE-GRID (FP6/FP7), AI4Dim & SurfQA (2022-2023) Software development: Tools for finite element mesh generation, CFD simulation, and post-processing

Nebojša Đorđevićمشاهده پروفایل

دانشیار

• Geographic Information Systems
• Web-based Systems
• Usability Evaluation
• +۳ مورد دیگر

Docent Nebojša Đorđević serves as Associate Professor at Belgrade's Faculty of Project and Innovation Management since October 2021, teaching Informatics for the Information Systems and Software Development program. Previously appointed docent at University "Union – Nikola Tesla" (2020) and engaged at Niš's Faculty of Applied Sciences, his academic career bridges military IT leadership and higher education. Educational credentials include: Computer Technology and Informatics diploma, Military Technical Academy Zagreb (1987) Master's degree, Electronic Faculty University of Niš (2001) PhD in Web-based GIS usability evaluation, Electronic Faculty University of Niš (2016) His research integrates Geographic Information Systems, Web-based Systems, and Software Development with strong emphasis on usability engineering. Across 27 publications in journals and conferences, he explores specialized applications of geospatial technologies and information system design. No scientific awards are documented in available records. His professional trajectory features 34 years in Serbian Army IT services, culminating as Head of the IT Section in Ground Forces Command (2005-2021). Teaching activities span multiple institutions with no recorded graduate student supervision or research grants. Military IT leadership remains his primary non-academic contribution.

• Artificial Intelligence
• Fuzzy Logic
• Machine Learning
• +۳ مورد دیگر

Djordje Obradovic is a researcher at Singidunum University with a focus on artificial intelligence, fuzzy logic, and geospatial analysis. He holds a Ph.D. in Electrical Engineering and Computer Science from the University of Novi Sad (2011). Education: B.Sc., M.Sc., Ph.D. in Electrical Engineering and Computing, University of Novi Sad (1992–2011) His research spans machine learning, neural networks, and fuzzy systems applied to diverse domains including medical imaging, environmental monitoring, and social media analysis. Recent publications highlight his work on air quality modeling and panoramic image processing in GIS applications. Key contributions include intelligent systems for scoliosis screening using low-cost sensors and innovative approaches to big data management through fuzzy sets and graph theory. He actively participates in international conferences like ICIST and Sinteza, often collaborating with multidisciplinary teams. At Singidunum University, Obradovic contributes to postgraduate studies while developing software architectures for geospatial data processing, educational technology, and inspection management systems. Notable projects include SCORM-compatible e-learning platforms, anthropomorphic gait simulation systems, and web-based tools for topographical symbol detection.

• Information and Communication Technologies in Education
• Digital Business
• Artificial Intelligence in Education
• +۸ مورد دیگر

Marija Marković Blagojević is a researcher at Singidunum University's Faculty of Informatics and Computing, with 17 years of experience in information and communication technologies (ICT) in education and business. She has published over 70 scientific and professional papers, co-authored the textbook Digital Business , and actively contributes to higher education quality assurance through accreditation and self-evaluation projects. Doctoral Studies: Applied Management, University of Privredna Akademija Novi Sad (2013-2018) Master's Studies: Informatics Management, Union University Belgrade (2009-2010) Bachelor's Studies: Industrial Engineering, Union University Belgrade (2002-2004) Her research focuses on ICT in education , artificial intelligence applications , digital transformation , sustainable development , and modern teaching methodologies . She has led projects like Erasmus+ initiatives on AI in adult education and founded the Center for Innovative Learning 'Better ME - Better WE' in Kruševac. Her 15 most recent publications span topics including IoT security , AI in education , and renewable energy forecasting , with a particular emphasis on digital tools' impact on student engagement and workforce adaptation . She has organized lectures on 'Artificial Intelligence in Education' and 'Business Communication in Digital Environments'. She coordinates academic journals and conferences through systems like Moodle and OJS , and has implemented national projects such as the 'Skillful with Skilled ChatGPT' initiative (2024). Her work aligns with Industry 5.0 principles, integrating humanization and sustainability in technological applications.

• Neural Networks
• Wireless Communications
• Signal Processing
• +۸ مورد دیگر

Ivan Milovanović is a researcher at the Department of Postgraduate Studies , University of Singidunum, Belgrade, Serbia. He holds a doctoral degree in Advanced Protection Systems from Singidunum University (2015) and has previously completed master's and bachelor's studies in Contemporary Information Technologies and Graphics and Design at the same institution. His career spans roles in software development, wireless communication research, and neural network applications for electromagnetic signal processing. B.Sc. in Graphics and Design (2008), Singidunum University M.Sc. in Contemporary Information Technologies (2009), Singidunum University Ph.D. in Advanced Protection Systems (2015), Singidunum University Milovanović's research focuses on applying neural networks to solve complex problems in wireless communications, particularly in direction-of-arrival (DOA) estimation for stochastic electromagnetic sources. His work addresses challenges in localization accuracy, signal correlation, and power variation. He has contributed to advancements in 2D/1D DOA estimation using hybrid neural models, experimental validation of antenna array measurements, and noise interference analysis in wireless systems. Publications span topics like wireless sensor networks, channel modeling, and MESH network security. Recent publications highlight a strong interdisciplinary focus combining neural networks with electromagnetic signal processing , antenna array optimization , and wireless communication systems . His work explores stochastic source tracking, coherent signal resolution, and noise mitigation techniques, often collaborating with researchers like Z. Stanković and N. Dončov. While no scientific awards are explicitly mentioned in the provided text, his extensive publication record indicates active contributions to applied electromagnetics and telecommunications engineering.

• Cybersecurity
• Machine Learning
• Internet of Things (IoT)
• +۳ مورد دیگر

Nikola Savanovic serves as an Assistant Professor at Singidunum University's Faculty of Informatics and Computing in Belgrade, Serbia. His academic work centers on cybersecurity, machine learning, and IoT systems within the Department of Informatics and Computing. Research Focus: His primary fields include cybersecurity (particularly intrusion detection in healthcare IoT systems), metaheuristic optimization of machine learning models, web technologies, and healthcare informatics. His recent work demonstrates strong interdisciplinary connections between computer science, medical technology, and financial systems. Publication Trends: Analysis of his 15 most recent articles reveals a dominant focus on cybersecurity applications (40%), machine learning optimization (30%), and healthcare technology (20%), with growing emphasis on metaheuristic algorithms for solving complex security and diagnostic problems. His work frequently appears in high-impact journals like Mathematics and Sustainability . Academic Background: PhD in Advanced Protection Systems (2016-2024), University of Singidunum Master's in Contemporary Information Technologies (2013-2016), Singidunum University Bachelor's in Informatics and Computing (2007-2013), Singidunum University Mechanical Technician for Computer Engineering (2003-2007), Polytechnic High School - School for New Technologies Authorship: He has co-authored 5 academic books including Web Design and Multimedia Systems (2023) and Knowledge Discovery in the Cyberspace (2017), demonstrating expertise in both theoretical and applied computing fields. His collaborative research spans multiple international institutions with consistent publication output since 2013. Technical Leadership: His conference presentations reveal active involvement in Serbia's academic technology community through events like IcETRAN and SINTEZA conferences, focusing on practical implementations of cybersecurity frameworks and educational technology solutions.