Scholar
Zoran Kostic
Google Scholar ID: TlPI8yIAAAAJ
Professor of Electrical Engineering, Columbia University
Citations & Impact
Citations
601
H-index
11
i10-index
14
Publications
20
Co-authors
0
Contact
Publications
Resume (English only)
Academic Achievements
- Advised students presenting posters at ICML 2025 (on adaptive data collection), received a new grant on Edge AI for Equitable and Safe Intersections in Urban Metropolises, Ian Li presented Distributed LLM at PerCom 2025, congratulations to Pranav, Sanjeev, Mehmet, and others, combatting microplastics with AI real-time monitoring, EE Research Team showcased AI-based urban traffic applications at CVPR 2024.
Research Experience
- Teaches multiple courses such as Neural Networks and Deep Learning, Advanced Deep Learning, Deep Learning on the Edge, Heterogeneous Computing for Signal and Data Processing, Internet Of Things - Systems and Physical Data Analytics, Internet Of Things - Engineering Innovations and Commercialization, etc. Additionally, he leads several research projects including AI for Smart Cities and Digital Twins, NSF CPS: Medium: Hybrid Twins for Urban Transportation, Using Speech and Language to Identify Patients at Risk for Hospitalizations and Emergency Department Visits in Homecare Setting, projects related to the Columbia Center of Artificial Intelligence Technology (CAIT), and more.
Background
- Professor of Professional Practice, EE MS Program, and Director at the Data Sciences Institute, Columbia University. His research interests include neural networks and deep learning, edge computing, IoT systems and physical data analytics, among others.
Co-authors