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:

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.
Signal classificationMachine Learning
E. Krijestorac and D. Cabric, "Deep Learning Based Active Spatial Channel Gain Prediction Using a Swarm of Unmanned Aerial Vehicles" submitted
UAVUAV-SwarmReinforcement LearningMachine Learning
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
Machine LearningSpectrum Sensing
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
RadarMachine Learning
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
Machine LearningSpectrum Sensing
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.
IoT
S. Hanna, E. Krijestorac, and D. Cabric, "Destination-Feedback Free Distributed Transmit Beamforming Using Guided Directionality" in IEEE Transactions on Mobile Computing 2022
BeamformingUAVMIMO
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
UAV
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
Machine LearningReinforcement Learning
E. Krijestorac, S. Hanna, D. Cabric, "Spatial Signal Strength Prediction using 3D Maps and Deep Learning", in IEEE ICC 2021.
Machine LearningUAV
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.
IoT
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.
IoTDistributed computing
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.
Machine LearningUAV
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
UAV

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