Ivan Bajic
Professor, School of Engineering Science
P.Eng.
Education
Ph.D., Electrical Engineering, Rensselaer Polytechnic Institute, USA, 2003
M.S., Mathematics, Rensselaer Polytechnic Institute, USA, 2002
M.S., Electrical Engineering, Rensselaer Polytechnic Institute, USA, 2000
B.Sc.Eng., Electronic Engineering, University of Natal, South Africa, 1998
Research interests
- Signal processing and machine learning
- Multimedia signal processing, compression, and communications
- Collaborative intelligence
Teaching interests
- Signal processing and communications
- Information theory
- Deep Learning
Contact:
Tel.: 778.782.7159
Email: ibajic@sfu.ca
Office: SFU Burnaby, ASB 9823
Personal webpage:
www.sfu.ca/~ibajic/
Recently taught courses
- ENSC 413/813 Deep Learning Systems in Engineering
- ENSC 802 Stochastic Systems
- ENSC 808 Information Theory
Selected recent publications
- C. Dinesh, G. Cheung, and I. V. Bajić, “Point cloud sampling via graph balancing and Gershgorin disc alignment,” IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 45, no. 1, pp. 868-886, Jan. 2023.
- H. Choi and I. V. Bajić, “Scalable image coding for humans and machines,” IEEE Trans. Image Processing, vol. 31, pp. 2739-2754, Mar. 2022.
- S. R. Alvar and I. V. Bajić, “Pareto-optimal bit allocation for collaborative intelligence,” IEEE Trans. Image Processing, vol. 30, pp. 3348-3361, Feb. 2021.