I was a senior postdoctoral researcher at the Massachusetts Institute of Technology (MIT) between 2019 and 2021. I worked as a part of the Research Laboratory of Electronics (RLE) in the Network Coding and Reliable Communications group of Professor Muriel Médard. I received my Ph.D. in Communication Systems Engineering from Ben-Gurion University (BGU) in 2018, under the supervision of Professor Omer Gurewitz and Professor Asaf Cohen.
From 2014 to 2019, I worked as a research scientist at Intel.
My detailed CV can be found here
I am looking for strong graduate students (MSc., Ph.D.), who are interested in doing exciting research on the interface of Signal Processing, Information Theory, Security, and Networks.
My main areas of interest are in Data Processing, Signal Processing, Information Theory, Security, and Networks. In particular, by pooling Signal Processing and Information Theory on data systems and networks, I go from theory to practice and vice-versa. I study how an end-to-end vision of the entire task-oriented acquisition and representation pipeline is essential to allow new and future complex solutions and applications. The general question I am interested in is: How can we improve the ways we acquire, represent, and transmit information, taking into account the tasks, the data, and the signals?
My research concentrates on the following directions (Recent works):
1) Design efficient data acquisition methods for tasks.
Serial Quantization for Sparse Time Sequences. IEEE Transactions on Signal Processing.
2) Characterize fundamental limits and provide practical reliable solutions for delay and data-rate guarantees.
Adaptive Causal Network Coding with Feedback. IEEE Transactions on Communications.
Adaptive Causal Network Coding with Feedback for Multi-hop Multipath Communications. IEEE Transactions on Communications.
Bringing Network Coding into SDN: A Case-study for Highly Meshed Heterogeneous Communications. IEEE Communications Magazine.
3) Provide security and privacy in advanced data acquisition systems.
Network Coding-Based Post-Quantum Cryptography. IEEE Journal on Selected Areas in Information Theory.
Secure Group Testing. IEEE Transactions on Information Forensics & Security.
4) Understanding the tradeoffs between computation and communication in networks.
How to Distribute Computation in Networks. IEEE International Conference on Computer Communications (INFOCOM).
Stream Distributed Coded Computing. IEEE Journal on Selected Areas in Information Theory.
5) Novel approaches to extract data from noise.
Noise Recycling. Submitted to IEEE Transactions on Communications.
Multi-Level Group Testing with Application to One-Shot Pooled COVID-19 Tests. Acoustics, Speech and Signal Processing (ICASSP).
DeepNP: Deep Learning-Based Noise Prediction for Ultra-Reliable Low-Latency Communications. Accepted for publication in ISIT 2022.
My detailed list of publications can be found here
Technion - Israel Institute of Technology
Electrical & Computer Engineering
Room 655, Meyer Building
Technion City, Haifa 3200003, Israel
Office: (+972) -77-8873256