In June 2026, at Santiago de Chile, Prof. Obradovic will be a keynote speaker at the 5th International Conference on Smart Grid Synchronized Measurements and Analytics (SGSMA) . The title […]
In July 2026, at Chania, Crete, Greece, Prof. Obradovic will deliver a keynote lecture at the 22ndInternational Conference on Artificial Intelligence Applications and Innovations (AIAI) and the 26th Engineering Applications […]
Prof. Obradovic serves as the Honorary Chair of the 26th Engineering Applications and Advances of Artificial Intelligence (EAAAI) conference. The EAAAI 2026 Organizing Committee is listed at https://eannconf.org/2026/committees/
In June 2025, Prof. Obradovic will deliver a keynote address at the 34th International Conference on Robotics in the Alpe-Adria-Danube Region. The topic of his lecture is autonomous navigation for […]
In May 2025, Prof. Obradovic will give a keynote lecture at the 11th International Conference on Decision Support System Technology (ICDSST 2025) . The title of his lecture is “Lifting the Fog by Harnessing Interactions Across Diverse Systems.” For additional information, see https://icdsst2025.ewg-dss.com/invited-talks/
In April 2025, Prof. Obradovic delivered a keynote lecture at the Eighth Northeast Regional Conference on Complex Systems (NERCCS). The topic of his lecture was Characterizing Disruptive Events by Modeling Dynamics in Multiplex Networks. For additional information, see https://nerccs2025.github.io
We are proud to share that Rafaa Aljurbua, a PhD candidate in Professor Obradovic’s lab, has been awarded the CIS Outstanding Research Assistant Award. Her research addresses high-impact risk estimation problems in both healthcare and power systems. She has published 10 papers, serving as the first author on six of them. Congratulations, Rafaa, on this […]
Prof. Obradovic will present a Distinguished Lecture at the Stevens Institute of Technology on April 2, 2025. His lecture will outline a learning framework that integrates information from diverse sources with differing quality and resolution, which could enhance informed decision-making ( https://www.stevens.edu/events/lifting-the-fog-by-harnessing-interactions-across-diverse-systems ).
We are proud to announce that Shelly Gupta and Hardik Sharma, students in the lab of Professor Zoran Obradovic, have been awarded Second Place at the AAAI 2025 Hackathon. This prestigious competition celebrates research and innovation. Shelly and Hardik’s team focused on detecting rain-induced landslides using multisensor inputs and developed a spatio-temporal prediction model to […]
We are proud to share that Jovan Andjelkovic, a PhD student in the lab of Professor Obradovic, has been awarded the Outstanding Teaching Assistant Award for 2024 by Temple University’s College of Science and Technology. This award recognizes exceptional dedication to teaching and student mentorship. Jovan served as a TA for courses led by Professor […]
Prof. Obradovic will deliver a keynote lecture on December 27, 2024, during the Artificial Intelligence Conference at the Serbian Academy of Sciences and Arts ( https://www.mi.sanu.ac.rs/~ai_conf/ ). The focus of his lecture will be on the modeling of spatiotemporal dynamics in multiplex networks.
Prof. Obradovic has been invited to speak at the Global Partnership on Artificial Intelligence Summit 2024. This summit, supported by the Organization for Economic Co-operation and Development (OECD), will gather global AI experts, industry leaders, academics, and representatives from participating countries and organizations to address common challenges and solutions related to artificial intelligence. The goal […]
Prof. Obradovic is giving a Keynote Lecture in November 2024 at the IEEE 5th World Conference on Complex Systems in Casablanca, Morocco ( h ttps://mscomplexsystems.org/wccs24/keynotes/ ). The topic of his lecture is characterizing disruptive events by modeling dynamics in multiplex networks.
In a compelling interview conducted for Temple Graduate School, Jovan Andjelkovic, a PhD student in Dr. Zoran Obradovic’s lab, unveils his research—predicting cancer based on doctor’s visits—and his current focus on applying machine learning for mass shooting analysis. Beyond the academic realm, Andjelkovic excelled in a PhD Data Science internship with Epsilon, optimizing advertising campaigns. […]
