جست‌وجوی استاد و پژوهشگر

• Environmental Chemistry
• Atmospheric Pollution
• Machine Learning Applications
• +۴ مورد دیگر

Gordana Jovanovic is an active Assistant Professor at Singidunum University's Faculty of Informatics and Computing, specializing in environmental chemistry with strong computational focus. Her research bridges atmospheric pollution dynamics and machine learning applications, evidenced by 15+ annual publications in high-impact journals. Research interests emphasize explainable AI applications for environmental systems, particularly: Atmospheric fate modeling of PM2.5-bound polycyclic aromatic hydrocarbons (PAHs) Volatile organic compound (VOC) behavior prediction using XGBoost/SHAP frameworks Marine pollution monitoring in the Adriatic Sea ecosystem Biomonitoring techniques for soil-plant-air pollution transfer Her publication trajectory shows significant methodological evolution from traditional environmental chemistry (2016-2021) to AI-integrated approaches since 2022, with recent work featured in Science of the Total Environment and Chemosphere . She co-authored the 2023 textbook 'Environmental Chemistry' and has contributed book chapters on AI applications in environmental science. Research collaborations span multiple institutions: University of Belgrade (doctoral alma mater and ongoing partnership) Croatian research groups (Adriatic Sea pollution studies) International co-authors from Montenegro, Russia, and Turkey Her advising approach emphasizes practical data science skills, with students typically contributing to conference presentations and journal publications. Current work focuses on advancing explainable AI frameworks for pollution source identification and health risk assessment, aligning with Singidunum University's new Applied Artificial Intelligence programs.

• 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.

• Digitization and Development of Education
• Human-Computer Interaction
• Design for IT Industry
• +۴ مورد دیگر

Dr. Ana Perišić (born March 9, 1983, Novi Sad, Serbia) is an Associate Professor at Singidunum University's Faculty of Informatics and Computing. Her academic work bridges technology and design, focusing on critical areas of human-computer interaction and digital innovation. Doctoral Studies: Faculty of Technical Sciences, Novi Sad (2016) Master Studies: Faculty of Technical Sciences, Novi Sad (2009) Her research explores: Digital twins and system-of-systems modeling for urban and architectural analysis UX/UI design principles in video games and virtual environments Cognitive psychology's impact on digital media design Digitization of educational processes and multimedia systems Analyzing her publications (2016-2022), we see consistent focus on: Urban morphology analysis using computational models Parametric design approaches for building simulations Environmental factors (daylight, privacy) in architectural computing Integration of digital twins in innovation ecosystems Her work combines technical rigor with human-centered design principles across computer science and architectural domains.

• Environmental Science
• Atmospheric Pollution Modeling
• Artificial Intelligence
• +۳ مورد دیگر

Andreja Stojic is a researcher at Singidunum University , with a PhD in Theoretical Physics from the University of Belgrade. Her career spans environmental science, atmospheric physics, and artificial intelligence applications in pollution modeling. Education: Doctoral studies (2007-2015) and basic studies (1998-2007) at the Faculty of Physics, University of Belgrade. Research interests include: Environmental fate of air pollutants AI-driven modeling of VOCs and PAHs Receptor modeling for source apportionment Health risk assessment from urban pollution Atmospheric dynamics and multifractal analysis Her recent publications focus on explainable AI (XGBoost, SHAP) to model benzene, toluene, and PM2.5 behavior, with applications to urban air quality and health risks. She has no scientific awards mentioned in the text and no students explicitly listed.

• 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.

Miloš Antonijevićمشاهده پروفایل

پژوهشگر

• Artificial Intelligence
• Machine Learning
• Neural Networks
• +۴ مورد دیگر

Miloš Antonijević is a researcher at the Faculty of Informatics and Computing at Singidunum University , Serbia. With a PhD in Advanced Protection Systems (2020) and a Master's in Electronic Business (2014), he has focused his career on artificial intelligence applications in cybersecurity, healthcare, and energy forecasting. Doctoral studies: Advanced Protection Systems, Singidunum University (2016-2020) Master's: Electronic Business, Faculty of Organizational Sciences (2012-2014) His research bridges machine learning with natural language processing and computer vision , particularly through metaheuristic optimization techniques. Recent work explores applications in: Solar energy production forecasting Parkinson's disease detection via wearable sensors Real-time rocket detection in aerial imagery Publications demonstrate expertise in hybrid AI frameworks combining recurrent networks, convolutional networks, and gradient boosting methods. He frequently collaborates with multidisciplinary teams on Springer and IEEE publications. Key partnerships include work with institutions in India, Romania, and Austria on applications spanning: Phishing detection Medical diagnostics Industrial IoT security

• Control Theory
• Automotive Engineering
• Quantum Computing
• +۳ مورد دیگر

Uroš Kalabić is a Teaching Professor at Singidunum University in Serbia. He holds a doctoral degree in Electrical and Computer Engineering from the University of Michigan (2015), a Master's degree from the same university (2011), and a Bachelor's degree in Electrical and Computer Engineering from the University of Toronto (2010). His research focuses on advanced control systems and their applications in automotive engineering, aerospace, and quantum computing. Doctoral studies: University of Michigan, Electrical and Computer Engineering (2015) Master's studies: University of Michigan, Electrical and Computer Engineering (2011) Undergraduate studies: University of Toronto, Electrical and Computer Engineering (2010) Kalabić's research interests span stochastic model predictive control , quantum optimization , autonomous traffic systems , and nonlinear control on manifolds . His work includes applications in automotive engine control, spacecraft attitude control, quantum search algorithms, and sustainable transportation schemes. He has published in top journals like AUTOMATICA and the Journal of Dynamic Systems, Measurement, and Control, focusing on control theory and its interdisciplinary applications. His publications reveal expertise in stochastic control , reinforcement learning , quantum computing , and transportation optimization . Notable contributions include constraint-separation principles in MPC, reference governors for probabilistic systems, and deep learning-based traffic management frameworks. Currently, no scientific awards or honors are documented in the provided materials. Similarly, there is no mention of student advising roles, laboratory leadership, or active research grants in the available descriptions.

• Auditing
• Financial Reporting
• Sustainability Accounting
• +۴ مورد دیگر

Maja Kljajic is a researcher at Singidunum University , affiliated with the Department of Postgraduate Studies . She holds a PhD in Contemporary business decision-making (2018–2023) and a Master’s degree in Internal audit and forensics (2016–2017), both from Singidunum University. Her academic background includes a Bachelor’s degree in Accounting and auditing (2012–2016) from the Faculty of Business in Belgrade and secondary education in Financial Administration (2008–2012) at the Economics and Business School in Šabac. Doctoral Studies : Contemporary business decision-making, Singidunum University (2018–2023) Master’s Studies : Internal audit and forensics, Singidunum University (2016–2017) Bachelor’s Studies : Accounting and auditing, Faculty of Business in Belgrade (2012–2016) Secondary Education : Financial Administrator, Economics and Business School Šabac (2008–2012) Research Interests Maja Kljajic’s work focuses on auditing, financial reporting, sustainability accounting, and the application of artificial intelligence in economic forecasting. Her research includes analyzing the impact of regulatory frameworks like IFRS 16 on Serbian industries, gender dynamics in the audit profession, and AI-driven models for cryptocurrency and energy consumption prediction. Project Participation She is actively involved in the Ministry of Science and Technological Development of Serbia’s project Organizational and informational support for the quality management system (Project code: 179001), aiming to enhance corporate competitiveness through quality management systems. Publications and Collaborations Maja has co-authored a book, Audit and regulatory framework (2025), and published numerous peer-reviewed papers in journals like Computational Economics and Knowledge-Based Systems . Her work spans topics such as: Predictive modeling for gasoline prices using AI Gender effects in Serbian financial auditing Bitcoin forecasting via LSTM networks IFRS 16 adoption in the hotel industry Covid-19’s impact on audit practices and meat industry profitability She frequently collaborates with scholars like V. Mizdraković, N. Bacanin, and M. Zivković, contributing to interdisciplinary studies at the intersection of finance, sustainability, and technology.

• 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.

• Artificial Intelligence
• Cyber Security
• Decision Theory
• +۵ مورد دیگر

Dejan Viduka is a Full Professor at the Faculty of Information Technologies, Alfa BK University, with over 25 years of experience in information and communication technologies (ICT). His teaching portfolio includes subjects such as Programming, Web Development, Software Testing, Information Systems Management, Computer Networks, Computer Graphics, Cyber Security, and Digital Media Design. Born in 1980, Osijek, Croatia Bachelor of Electrical Engineering and Computing (Alfa BK University) Master's in Informatics (Sinergidunum University) Doctoral studies in Technical Sciences His research focuses on the application of ICT in business and education, particularly in Artificial Intelligence , Cyber Security , and Decision Theory . He has authored over 70 scientific papers and multiple books in ICT disciplines. Dejan actively contributes to academia through conference paper reviews and industry collaborations on modern ICT solutions. His scientific output is accessible via ORCID (0000-0001-9147-8103), Google Scholar, and Serbian academic databases.

Negovan Stamenkovicمشاهده پروفایل

استاد

• Computer Science
• Electrical Engineering
• Signal Processing
• +۴ مورد دیگر

Negovan M. Stamenković is a Full Professor at Alfa BK University's Faculty of Mathematics and Computer Sciences. He teaches subjects including Architecture and Organization of Computer Systems, Multimedia Systems, Computer Networks, Signal Processing, and Mobile Computing. He earned his Doctor of Electrical Engineering and Computer Science degree from the Faculty of Electronics in Niš. B.Sc. in Electronics and Telecommunications from Faculty of Technical Sciences, Kosovska Mitrovica (2006) Ph.D. in Electrical Engineering and Computer Science (2011) His research focuses on computer architecture, signal processing, and telecommunications. His work involves sub-band coding and residue arithmetic applications in filter implementation, as demonstrated in his doctoral dissertation. He contributes to computer science education through foundational courses in programming and system architecture.

Filip Andricمشاهده پروفایل

مدرس

• Computer Science

Filip Andric serves as an Assistant at the Institute of Mathematics and Informatics within the Faculty of Science and Mathematics at the University of Kragujevac. He completed his undergraduate studies in 2021 and earned his Master's degree in 2024, indicating he is in the early stages of his academic career. Education: Graduated: 2021 Master's Degree: 2024 Mr. Andric's primary research focus centers on Computer Science, contributing to the academic and research activities of the Institute of Mathematics and Informatics. His work aligns with the broader computational research conducted at the Faculty, which includes participation in conferences such as the First Conference on Mathematics and Computer Science Teaching (THEMECOM 2024). As a recent Master's graduate now working in an academic position, Mr. Andric represents the new generation of computer science educators at the University of Kragujevac, likely involved in both teaching undergraduate courses and supporting research activities within his department.

Kristina Vasicمشاهده پروفایل

استادیار

• Computing Methodologies

Kristina Vasic is an Assistant Professor at the Institute of Mathematics and Informatics , part of the Faculty of Science and Mathematics at the University of Kragujevac, Serbia. She graduated in 2013, earned her Master's degree in 2015, and specializes in Computing Methodologies . Her office is located in room A-III-1V.

Hristina Delibasic Markovicمشاهده پروفایل

استادیار

• Atomic, molecular and optical physics
• Analog and digital electronics
• Teaching methodology

Hristina Delibasic Markovic is an Assistant Professor at the Institute of Physics , part of the Faculty of Science and Mathematics at the University of Kragujevac. She earned her doctorate in 2023 and specializes in Atomic, Molecular, and Optical Physics with additional expertise in analog/digital electronics and teaching methodology. Her research focuses on Ultrafast laser-matter interactions Coulomb effects in ionization dynamics Plasma formation in biological materials Quantum trajectory analysis in elliptical polarization She has published extensively on theoretical and computational aspects of laser-induced ionization processes. Key laboratory affiliations include the Laboratory for Atomic and Nuclear Physics and Laboratory for Physics Methodology and Teaching Aids . Her work has been presented in international collaborations and Erasmus+ exchange programs.

Danko Djordjevicمشاهده پروفایل

استادیار

• Algebraic topology
• differential topology
• topological combinatorics
• +۲ مورد دیگر

Danko Djordjevic serves as an Assistant Professor at the Department of Mathematics and Informatics within the Faculty of Science and Mathematics at the University of Kragujevac. Dr. Djordjevic completed his Master's degree in 2021 and earned his Doctorate in 2022. His primary research focuses on mathematical topology with diverse applications: Algebraic topology Differential topology Topological combinatorics Morse theory Discrete and computational topology His work bridges theoretical mathematical concepts with practical computational applications, contributing to advancements in topological analysis methods. Dr. Djordjevic specializes in Mathematical analysis with applications as indicated in his academic profile. Dr. Djordjevic is actively engaged in the academic community at the University of Kragujevac, participating in teaching and research activities within the mathematics department. Contact: danko.djordjevic@pmf.kg.ac.rs