Danijela Cabric
Aditya Wadaskar
Ruifu Li
Rushabha Balaji
Yen-Chin Wang
Benjamin Domae
Ibrahim Pehlivan
Tianyi ZhaoV. Prabhu, E. Krijestorac, and D. Cabric, "Basestation Switch On/Off Strategy for Energy Efficiency in Ultra-Narrowband IoT Networks," in the 2024 IEEE International Conference on Communications (ICC)
Cognitive Reconfigurable Embedded Systems Lab
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CORES Lab - UCLA
Enes Krijestorac
Bio:
I received a B.S. degree in Electrical Engineering from New York University, Abu Dhabi in 2018, graduating summa cum laude. I am currently pursuing a Ph.D. degree at University of California, Los Angeles, US. My research interests include UAV assisted wireless communication, modelling of wireless communication using machine learning and distributed computing systems.
Publications:
H. Sallouha, S. Sarkar, E. Krijestorac and D. Cabric, "REM-U-Net: Deep Learning Based Agile REM Prediction With Energy-Efficient Cell-Free Use Case," in IEEE Open Journal of Signal Processing, vol. 5, pp. 750-765, 2024
T. Zhao, S. Sarkar, E. Krijestorac, and D. Cabric, "GAN-RXA: A Practical Scalable Solution to Receiver-Agnostic Transmitter Fingerprinting" in IEEE Transactions on Cognitive Communications and Networking, April 2024
H. Sallouha, S. Sarkar, E. Krijestorac, and D. Cabric, "REM-U-net: Deep Learning Based Agile REM Prediction with Energy-Efficient Cell-Free Use Case," submitted to IEEE Open Journal of Signal Processing
E. Krijestorac, R. Li, D. Cabric, J. McGraw, P. Powers, J. A. Vitaz, M. Salpukas, D. Eustice, T. Allen, "Machine Learning-Assisted Computationally Efficient Target Detection and Tracking in Massive Fully Digital Phased Arrays," in IEEE Transactions on Radar Systems, vol. 1, pp. 353-367, August 2023
E. Krijestorac, H. Sallouha, S. Sarkar, D. Cabric, "Agile Radio Map Prediction Using Deep Learning," in the 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), June 2023
Krijestorac, Enes, Ghaith Hattab, Petar Popovski, and Danijela Cabric. "Multiband Massive IoT: A Learning Approach to Infrastructure Deployment." IEEE Transactions on Wireless Communications 21, no. 12 (2022): 10300-10314.
S. Hanna, E. Krijestorac, and D. Cabric, "Destination-Feedback Free Distributed Transmit Beamforming Using Guided Directionality" in IEEE Transactions on Mobile Computing 2022
S. Hanna, E. Krijestorac, and D. Cabric, "UAV Swarm Position Optimization for High Capacity MIMO Backhaul", in IEEE Journal on Selected Areas in Communications, 2021
Samurdhi Karunaratne, Enes Krijestorac, Danijela Cabric, "Penetrating RF Fingerprinting-based Authentication with a Generative Adversarial Attack", ICC 2021 - IEEE International Conference on Communications, 2021, pp. 1-6
E. Krijestorac, S. Hanna, D. Cabric, "Spatial Signal Strength Prediction using 3D Maps and Deep Learning", in IEEE ICC 2021.
E. Krijestorac, G. Hattab, P. Popovski, D. Cabric, "Band Assignment in Ultra-Narrowband (UNB) Systems for Massive IoT Access", to appear in IEEE Globecom 2020, May 2020.
E. Krijestorac, A. Memedi, T. Higuchi, S. Ucar, O. Altintas, D. Cabric, "Hybrid Vehicular and Cloud Distributed Computing: A Case for Cooperative Perception", to appear IEEE Globecom 2020, May 2020.
E. Krijestorac, S. Hanna, D. Cabric, "UAV Access Point Placement for Connectivity to a User with Unknown Location Using Deep RL", in IEEE Globecom 2019 AINGWC Workshop, August 2019.
S. Hanna, E. Krijestorac, H. Yan, and D. Cabric, "UAV Swarms as Amplify-and-Forward MIMO Relays" (invited paper) inIEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2019
Awards:
- UCLA EE Department PhD Preliminary Examination Fellowship (awarded for the best performance in the PhD preliminary exam), UCLA, January 2020
- Dean’s Scholar Award (awarded to top three entering PhD students in the department, UCLA, March 2018
- Electrical and Computer Engineering Department Fellowship, UCLA, March 2018
- Dean’s Scholar Award, UCLA, April 2018