جست‌وجوی استاد و پژوهشگر

• Software Testing Education
• Machine Learning
• Metaheuristic Optimization
• +۹ مورد دیگر

Tamara Živković is a researcher at the Faculty of Informatics and Computing, Singidunum University. She holds a PhD in Software Engineering from the School of Electrical Engineering in Belgrade (2024), with prior Master's and Bachelor's degrees in related fields. Education: PhD, Software Engineering (2012-2024), School of Electrical Engineering, Belgrade Master, Audio and Visual Technologies (2008-2010), School of Electrical Engineering, Belgrade Bachelor, Telecommunications and Information Technology (2001-2007), School of Electrical Engineering, Belgrade Her research focuses on software testing education, metaheuristic optimization for machine learning models, and AI applications in cybersecurity, medical diagnostics, and data analysis. She explores hybrid approaches combining neural networks (LSTM, GRU, CNN) with metaheuristic algorithms (PSO, Firefly, Crayfish) for complex prediction tasks. Recent publications span software defect prediction, phishing detection, Parkinson's disease diagnostics, and sentiment analysis. Her work integrates generative adversarial networks for dataset augmentation and applies attention mechanisms in NLP tasks. She has completed advanced certifications in software product management and agile practices from the University of Alberta, along with ISTQB testing certifications.

Mladen Vidovićمشاهده پروفایل

پژوهشگر

• Artificial Intelligence
• Machine Learning
• Data Science
• +۳ مورد دیگر

Mladen Vidović is a researcher at the Faculty of Informatics and Computing, Singidunum University. His work focuses on artificial intelligence, machine learning, and applied informatics, with a particular emphasis on synthetic dataset generation, remote rendering, and educational technology. Articles : 12 recent publications covering AI applications, semantic segmentation, and data science Research Interests : Synthetic data creation, machine learning workflows, and interactive software systems His research outputs include collaborations on tools like Autonomous Grader for educational assessment and Microraptor Gui for remote rendering monitoring. Notable projects involve leveraging Kohonen Self-Organizing Maps for anomaly detection and developing end-to-end learning approaches for stereo vision tasks. While no explicit awards or student advisories are documented in the available texts, his publications indicate active participation in academic conferences such as Sinteza and ICIST, contributing to advancements in AI and informatics.

Maria Veljanovskiمشاهده پروفایل

استادیار

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

Maria Veljanovski is an Assistant Professor at the Faculty of Electronics, University of Niš, Serbia, where she has been serving since 2021 in the field of Computing and Informatics. Her research interests lie in the domain of computing and informatics, with a focus on areas such as software engineering, information systems, and data processing. Given her academic placement, her work likely bridges theoretical and applied aspects of computer science and digital systems. While no recent publications are listed in the available text, her academic engagement suggests active participation in research within her department. There are no listed scientific awards at this time. Maria Veljanovski advises students within her academic role, though no specific advisees are named. There is no mention of grants or funded research projects in the provided information. She is affiliated with the Department of Computing at the Faculty of Electronics, which is involved in academic and applied research in information technologies and computing systems.

• Automation
• Mechatronics
• Applied Informatics
• +۴ مورد دیگر

Jasna Radulovic is a Full Professor in the Department of Electrical Engineering and Computer Science at the Faculty of Engineering Sciences, University of Kragujevac, Serbia. She has been serving in this role since her election on September 29, 2011. Her research expertise lies in the fields of Automation and Mechatronics, and Applied Informatics and Computer Engineering. These domains encompass intelligent control systems, robotics, embedded systems, industrial automation, and computer-integrated engineering solutions. Her academic background includes a doctorate from the Faculty of Technology in Čačak, with prior studies completed at the Faculty of Electronics in Niš. No recent publications are listed in the provided text, so no trends in publication fields can be identified at this time. There are no scientific awards mentioned in the available information. There is no information available regarding student advisement, research grants, or leadership in research teams. No laboratory or research group affiliations are specified in the source text.

Gordana Rakićمشاهده پروفایل

استادیار

• Computer Science
• Informatics
• Software Engineering
• +۳ مورد دیگر

Gordana Rakić serves as an Assistant Professor in the Department of Mathematics and Informatics at the Faculty of Sciences, University of Novi Sad, where she is based in the Computer Science office (DMI&DF) within the new building section, office 7. Her contact telephone number is (485), and she maintains professional correspondence via goca@dmi.uns.ac.rs. Her research spans core computer science disciplines with emphasis on Software Engineering and Artificial Intelligence, supported by the department's computational infrastructure. These interests align with the Faculty of Sciences' focus on advancing theoretical and applied informatics within the regional academic landscape. For detailed academic activities and resources, refer to her personal website , which hosts her curriculum vitae and departmental profile.

• Sustainable Development
• Environmental Science
• Ecology
• +۳ مورد دیگر

Vuk Gajic is an Assistant Professor at the Faculty of Applied Ecology within Singidunum University , Serbia. He has been employed at the university since 2016 in progressive roles including teaching associate (2016), assistant (2019), and assistant professor (2023). Doctoral Dissertation : Environment and Sustainable Development (2019-2022) Master's Degree : Sustainable Development in the Environment (2016-2019) Undergraduate Degree : Environmental Risk Management (2015-2016) Specialization : Environmental Protection (2010-2014) His research focuses on environmental sustainability , ecology , and applied artificial intelligence for environmental monitoring. Key areas include: Ionizing radiation applications in environmental protection Geospatial analysis for pollution mapping AI/ML optimization via metaheuristics Sustainable agriculture practices Renewable energy forecasting Disaster risk management Recent publications highlight his interdisciplinary work at the intersection of environmental science and computational technologies , particularly in radiation-based remediation and AI-driven sustainability solutions. Current affiliations : Assistant Professor, Singidunum University Faculty of Applied Ecology Postgraduate Studies Department

• Computer Science
• Information Technology
• Educational Software
• +۷ مورد دیگر

Jelena Gavrilovic is an Associate Professor at Singidunum University, affiliated with the Faculty of Informatics and Computing. Her work bridges computer science with educational technology, focusing on integrating digital tools into mathematics instruction and distance learning systems. Born: June 6, 1983, Valjevo, Serbia Education: Middle Technical PTT School (Electrical Technician, 2002), Faculty of Informatics and Computing (BSc in Programming and Design, 2007; MSc in Contemporary Information Technologies, 2011), Singidunum University (PhD in Advanced Protection Systems, 2022) Her research explores: Educational software for mathematics and distance learning Forensics of unmanned aerial vehicles (UAVs) and robotics Adaptive algorithms and optimization methods in signal processing Biometric key generation systems Recent publications analyze trends in UAV forensics, mobile robot path planning using artificial bee colony algorithms, and healthcare technology optimization. She collaborates on studies involving data analysis, cybersecurity, and interactive pedagogy, often applying computational methods to educational challenges. Her career spans over 20 years, with early work on pedagogical research and evolving contributions to IT in education and robotics.

• Machine Learning
• Optimization Algorithms
• Cloud Computing
• +۴ مورد دیگر

Ivana Štrumberger is a researcher at Singidunum University's Faculty of Informatics and Computing, with a focus on machine learning optimization, cloud computing, and wireless sensor networks. Her work bridges computational intelligence with practical applications in healthcare, cybersecurity, and financial forecasting. Her research emphasizes hybrid metaheuristic algorithms for tuning neural networks and ensemble models. Notably, she has developed methods for Bitcoin and Ethereum price prediction using LSTM networks Phishing website detection via XGBoost and feature selection Solar flare forecasting with gradient boosting Optimization of wireless sensor network localization She has co-authored over 30 peer-reviewed publications in journals like Artificial Intelligence Review and Applied Sciences , and presented at IEEE conferences including IJCNN and CEC. Her methodological contributions include hybridized variants of Firefly Algorithm Harris Hawks Optimization Sine Cosine Algorithm Whale Optimization for constrained and multi-objective problems.

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
• 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.

Milica D. Jovanovicمشاهده پروفایل

استادیار

• Wireless Sensor Networks
• Networks-on-Chip
• Communication Protocols
• +۵ مورد دیگر

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.

• Environmental Engineering
• Pollution Control
• Risk Management
• +۳ مورد دیگر

проф. др Виктор Поцајт is a Редовни професор (Full Professor) at the Department of Environmental Engineering Protection, Faculty of Technical Sciences, University of Belgrade. He specializes in environmental engineering, pollution control, and applications of artificial neural networks in environmental modeling. His research focuses on air quality, industrial pollutants, risk management, and sustainable materials. Education details are not explicitly provided in the text, but his academic position implies advanced degrees in environmental engineering or related fields. His teaching subjects include courses on industrial pollutants, air pollution control, and applied informatics in environmental engineering. Research interests revolve around developing predictive models for environmental parameters using artificial neural networks, with applications in pollution monitoring, risk assessment, and sustainable practices. His work emphasizes environmental data analysis, particularly in urban areas like Belgrade, and compliance with environmental standards such as RoHS directives. Prof. Počajt has mentored numerous students across PhD, master’s, and bachelor’s programs, focusing on topics like air quality modeling, waste management, and neural network applications in environmental science. His contributions include studies on ISO 14000 standards in thermal power plants and optimizing environmental monitoring systems. No scientific awards are explicitly mentioned, but his extensive publication and mentoring record highlight his academic impact. His research often addresses national-level environmental indicators and pollution modeling, leveraging computational tools for actionable insights.

• Health Informatics
• Software Engineering
• Integration Systems
• +۳ مورد دیگر

Жељко Вуковић is an Associate Professor at the Department of Informatics, Faculty of Technical Sciences, University of Novi Sad. He holds the role of Head of the Department of Informatics and has been affiliated with the university since 2013. His academic journey includes a Master's degree in 2013, focusing on health systems integration using the Apache Camel platform. He was appointed as a Lecturer (2013) and later promoted to Assistant Master (2014). Education: Master's thesis: 'System Integration in Healthcare Using Apache Camel Platform' (2013). Graduated from Isidor Sekulić Gymnasium, Novi Sad. Research Interests: Health Informatics, Software Engineering, and Integration Systems, with a focus on applying frameworks like Apache Camel to healthcare solutions. He actively contributes to academic administration as the Head of the Informatics Department and maintains roles in teaching and research.

Vesna Rankovicمشاهده پروفایل

استاد

• Automation
• Mechatronics
• Applied Informatics
• +۵ مورد دیگر

Vesna Rankovic is a Full Professor at the Department of Applied Mechanics and Automatic Control, Faculty of Engineering Sciences, University of Kragujevac, Serbia. She has been serving in this academic role since her election on June 19, 2014. Her research interests lie primarily in automation, mechatronics, applied informatics, and computer engineering. These fields reflect her focus on modern control systems, intelligent automation, and integration of computing in mechanical and industrial systems. She completed her academic education—graduation, master's, and doctorate—at the Faculty of Mechanical Engineering in Kragujevac, establishing a long-standing connection with the institution. Vesna Rankovic has contributed to scholarly work, with publications accessible through the SciDAR repository, though specific titles are not listed in the provided text. No scientific awards or honors are mentioned in the available information. She is actively involved in teaching and academic supervision, though no formal advisees are listed. There is no indication of part-time status, suggesting a full-time academic appointment. The Faculty of Engineering Sciences supports research through various laboratories and centers, though specific involvement of Prof. Rankovic in any lab or team is not detailed in the current text.

• Applied Informatics
• Engineering Informatics
• Automatic Control
• +۴ مورد دیگر

Tiana Geroski is an Assistant Professor in the Department of Applied Mechanics and Automatic Control at the Faculty of Engineering Sciences, University of Kragujevac, Serbia. She completed both her undergraduate and master's studies at the same institution and has been serving in her current academic role since May 17, 2023. Her research focuses on the integration of informatics into engineering systems, particularly in the domains of automation and control. Her work lies at the intersection of applied mechanics and computational methods, emphasizing practical implementations in engineering environments. Her primary research areas include Applied Informatics in Engineering, Automatic Control, and Industrial Automation. These interests reflect a strong technical foundation in both mechanical systems and information technology applications. No recent publications were listed in the provided text, but her academic output is archived in the SciDAR repository. There are no scientific awards mentioned in the available information. Tiana Geroski advises students within her department and may be involved in research projects related to automation and control systems, though no specific grants or funded projects are detailed. She contributes to academic instruction and research within her department. She is part of the research and teaching team in the Department of Applied Mechanics and Automatic Control, which supports academic programs in mechanical, automotive, and industrial engineering disciplines.