Haim H. Permuter

Haim H. Permuter

Professor, Luck-Hille Chair in Electrical Engineering

Department of Electrical and Computer Engineering

Ben-Gurion University of the Negev

Beer-Sheva, Israel

Office: Building 33, Room 314

Phone: +972-8-6461558

Email: haimp@bgu.ac.il

P.O.B 653, Beer-Sheva 84105, Israel

Research Interests

Information Theory, Machine Learning, Sequential Prediction, Wireless Communication Systems, Physical Layer Security, Cognitive Radio, Network Coding, Channel with Side Information, Coordination and Source Coding, Markov Decision Processes, Optimization, Statistical Signal Processing.

Students who are interested in Machine Learning, communication, Information Theory, or in the combination of math and engineering, are welcome to contact me for research position.

Teaching

Basic Courses

Advanced Courses

Publications

Machine Learning

H. H. Permuter, J. M. Francos, I. Jermyn, "A study of Gaussian mixture models of color and texture features for image classification and segmentation", Pattern Recognition, Vol. 39, pp. 695-706, February 2006. [Conf. Version]

Z. Aharoni, G. Rattner, H. H. Permuter, "Gradual Learning of Deep Recurrent Neural Networks", International Symposium on Cyber Security Cryptography and Machine Learning (CSCML), 2018

R. Shoham, H. H. Permuter, "Highway State Gating for Recurrent Highway Networks: improving information flow through time", International Symposium on Cyber Security Cryptography and Machine Learning (CSCML), 2018

R. Shoham, H. H. Permuter, "Amended Cross Entropy Cost: Framework For Explicit Diversity Encouragement", International Symposium on Cyber Security Cryptography and Machine Learning (CSCML), 2019

O. Luxembourg, H. H. Permuter, E. Nachmani, "Plan for Speed: Dilated Scheduling for Masked Diffusion Language Models", Proc. International Conference on Machine Learning (ICML), 2026.

T. Dror, I. Shoham, M. Buchris, O. Gal, H. H. Permuter, G. Katz, E. Nachmani, "Token-Based Audio Inpainting via Discrete Diffusion", International Conference on Learning Representations (ICLR), 2026.

Machine Learning for Communication

Z. Aharoni, O. Sabag, H. H. Permuter, "Computing the Feedback Capacity of Finite State Channels using Reinforcement Learning", ISIT, 2019. [Slides] Best student paper finalist

O. Sholev, H. H. Permuter, E. Ben-Dror, W. Liang, "Neural Network MIMO Detection for Coded Wireless Communication with Impairments", IEEE Wireless Communications and Networking Conference (WCNC), 2020.

Capacity of Continuous Channels with Memory via Directed Information Neural Estimator

Z. Aharoni, D. Tsur, Z. Goldfeld, H. H. Permuter, "Capacity of Continuous Channels with Memory via Directed Information Neural Estimator", ISIT, 2020. [Slides]

Z. Aharoni, D. Tsur, Z. Goldfeld, H. H. Permuter, "Capacity Estimation Using Machine Learning", Machine Learning and Wireless Communications, Cambridge University Press, pp. 317-350, 2022.

Z. Aharoni, O. Sabag, H. H. Permuter, "Reinforcement Learning Evaluation and Solution for the Feedback Capacity of the Ising Channel with Large Alphabet", IEEE Transactions on Information Theory, Vol. 68, 2022.

B. Marinberg, H. H. Permuter, E. Ben-Dror, "A Study on MIMO Channel Estimation by 2D and 3D Convolutional Neural Networks", IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS), 2020.

Y. Huleihel, E. Ben-Dror, H. H. Permuter, "Low PAPR Waveform Design for OFDM Systems Based on Convolutional Autoencoder", IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS), 2020. Best Paper Award in Women in Engineering

Y. Huleihel, H. H. Permuter, "Low PAPR MIMO-OFDM Design Based on Convolutional Autoencoder", IEEE Transactions on Communications, 2024.

Y. Huleihel, G. Maman, Z. Hadad, E. Shaha, H. H. Permuter, "Data-Driven Cell-Free Scheduler", Ad Hoc Networks, 2025.

Y. Huleihel, R. Hirsch, G. Sominsky, R. Ziv, H. H. Permuter, "Deep-Learning-Based Waveform Design for Single-Carrier Satellite Communication Networks", IEEE Transactions on Communications, Vol. 74, pp. 5717-5732, 2026.

Machine Learning and Information Measures

D. Tsur, Z. Aharoni, Z. Goldfeld, H. H. Permuter, "Neural Estimation and Optimization of Directed Information over Continuous Spaces", IEEE Transactions on Information Theory, 2023.

D. Tsur, H. H. Permuter, "InfoMat: Leveraging Information Theory to Visualize and Understand Sequential Data", Entropy, 2025.

D. Tsur, Z. Aharoni, Z. Goldfeld, H. H. Permuter, "Data-Driven Optimization of Directed Information over Discrete Alphabets", IEEE Transactions on Information Theory, 2024.

D. Tsur, B. Huleihel, H. H. Permuter, "On Rate Distortion via Constrained Optimization of Estimated Mutual Information", IEEE Access, 2024.

O. Luxembourg, D. Tsur, B. Huleihel, H. H. Permuter, "TREET: TRansfer Entropy Estimation via Transformers", IEEE Access, 2025. [Slides] [Poster]

S. Zhang, N. Liu, W. Kang, H. H. Permuter, "Optimizing Distributions for Associated Entropic Vectors via Generative Convolutional Neural Networks", Entropy, Vol. 26, pp. 711, 2024.

B. Huleihel, D. Tsur, Z. Aharoni, O. Sabag, H. H. Permuter, "Neural Estimation of Multi-User Capacity Regions Over Discrete Channels", ISIT, pp. 1191-1196, 2024.

Machine Learning for Polar Codes

Z. Aharoni, B. Huleihel, H. Pfister, H. H. Permuter, "Data-Driven Neural Polar Codes for Unknown Channels With and Without Memory", IEEE Transactions on Information Theory, 2024. [Slides]

Z. Aharoni, B. Huleihel, H. D. Pfister, H. H. Permuter, "Optimized Polar Codes via Mutual Information Maximization With Neural Polar Decoders", IEEE Transactions on Communications, Vol. 74, pp. 5820-5832, 2026. [Slides]

R. Hirsch, Z. Aharoni, H. D. Pfister, H. H. Permuter, "Neural Polar Decoders for Receivers in Wireless Communication", IEEE Transactions on Communications, Vol. 74, pp. 6889-6903, 2026.

LLM and Information Theory

D. Tsur, C. X. Long, C. M. Verdun, S. Vithana, H. Hsu, R. Chen, H. H. Permuter, F. P. Calmon, "HeavyWater and SimplexWater: Distortion-free LLM Watermarks for Low-Entropy Distributions", NeurIPS, 2025. [Slides] [Poster]

Machine Learning for Routing

S. Yamin, H. H. Permuter, "Multi-agent reinforcement learning for network routing in integrated access backhaul networks", Ad Hoc Networks, Vol. 153, 2024.

Machine Learning for Speaker Recognition

A. Cohen, I. Rimon, E. Aflalo, H. H. Permuter, "A Study on Data Augmentation in Voice Anti-Spoofing", Speech Communication, pp. 56-67, June 2022.

I. Rimon, O. Gal, H. H. Permuter, "Unmasking deepfakes: Leveraging augmentations and features variability for deepfake speech detection", Computer Speech & Language, Vol. 101, pp. 101994, 2027.

Machine Learning for Radars

Y. D. Dadon, S. Yamin, S. Feintuch, H. H. Permuter, I. Bilik, J. Tabrikian, "Moving Target Classification Based on micro-Doppler Signatures Via Deep Learning", IEEE Radar Conference, 2021.

S. Feintuch, H. H. Permuter, I. Bilik, J. Tabrikian, "Neural Network-Based Multi-Target Detection within Correlated Heavy-Tailed Clutter", IEEE Transactions on Aerospace and Electronic Systems, 2023.

S. Feintuch, H. H. Permuter, I. Bilik, J. Tabrikian, "Neural Network-Based DOA Estimation in the Presence of Non-Gaussian Interference", IEEE Transactions on Aerospace and Electronic Systems, 2023.

Cooperative Communication

H. H. Permuter, S. Shamai, A. Somekh-Baruch, "Message and state cooperation in multiple access channels", IEEE Transactions on Information Theory, 2011. [Slides]

H. H. Permuter, H. Asnani, "Multiple Access Channel with Partial and Controlled Cribbing Encoders", IEEE Transactions on Information Theory, 2013. [Slides]

T. Kopetz, H. H. Permuter, S. Shamai, "Multiple Access Channels with Combined Cooperation and Partial Cribbing", IEEE Transactions on Information Theory, 2016.

L. Dikstein, H. H. Permuter, Y. Steinberg, "On State Dependent Broadcast Channels with Cooperation", IEEE Transactions on Information Theory, 2016.

Z. Goldfeld, H. H. Permuter, G. Kramer, "Semi-Deterministic Broadcast Channels with Cooperation and a Dual Source Coding Problem", IEEE Transactions on Information Theory, 2016. [Slides]

R. Kolte, A. Ozgur, H. H. Permuter, "Cooperative Binning for Semideterministic Channels", IEEE Transactions on Information Theory, 2016. [Slides]

I. B. Gattegno, H. H. Permuter, S. Shamai, A. Ozgur, "Cooperative Binning for Semi-Deterministic Channels With Non-Causal State Information", IEEE Transactions on Information Theory, Vol. 65, pp. 6314-6331, 2019.

Network Coding

M. Lvov, H. H. Permuter, "Initialization Algorithms For Convolutional Network Coding", IEEE Transactions on Information Theory, Vol. 64, pp. 5277-5295, 2018. [Slides]

N. Voskoboynik, H. H. Permuter, A. Cohen, "Network Coding Schemes for Data Exchange Networks With Arbitrary Transmission Delays", IEEE/ACM Transactions on Networking, Vol. 25, pp. 1293-1309, 2017.

State Information

Capacity Region of Finite State Multiple-Access Channel with Delayed State Information at the Transmitters

U. Basher, A. Shirazi, H. H. Permuter, "Capacity Region of Finite State Multiple-Access Channel with Delayed State Information at the Transmitters", IEEE Transactions on Information Theory, Vol. 58, pp. 189-206, 2012. [Slides]

O. Simeone, H. H. Permuter, "Source Coding When the Side Information May Be Delayed", IEEE Transactions on Information Theory, Vol. 59, pp. 3607-3618, February 2013.

Z. Goldfeld, H. H. Permuter, B. Zaidel, "The Finite State MAC with Cooperative Encoders and Delayed CSI", IEEE Transactions on Information Theory, Vol. 60, pp. 6181-6203, October 2014. [Slides]

A. Shirazi, U. Basher, H. H. Permuter, "Channel Coding and Source Coding With Increased Partial Side Information", Entropy, Vol. 19, pp. 467, 2017.

Physical Layer Security

Z. Goldfeld, P. Cuff, H. H. Permuter, "Arbitrarily Varying Wiretap Channels With Type Constrained States", IEEE Transactions on Information Theory, Vol. 62, pp. 7216-7244, 2016.

Z. Goldfeld, H. H. Permuter, G. Kramer, "Broadcast Channels with Privacy Leakage Constraints", IEEE Transactions on Information Theory, Vol. 63, pp. 5138-5161, 2017.

Z. Goldfeld, P. Cuff, H. H. Permuter, "Semantic-Security Capacity for Wiretap Channels of Type II", IEEE Transactions on Information Theory, Vol. 62, pp. 3863-3879, 2016.

Z. Goldfeld, G. Kramer, P. Cuff, H. H. Permuter, "Strong Secrecy for Cooperative Broadcast Channels", IEEE Transactions on Information Theory, Vol. 63, pp. 469-495, 2017.

Z. Goldfeld, H. H. Permuter, "MIMO Gaussian Broadcast Channels With Common, Private, and Confidential Messages", IEEE Transactions on Information Theory, Vol. 65, pp. 2524-2544, 2019.

Z. Goldfeld, H. H. Permuter, "Wiretap and Gelfand-Pinsker Channels Analogy and Its Applications", IEEE Transactions on Information Theory, Vol. 65, pp. 4979-4996, 2019.

Z. Goldfeld, P. Cuff, H. H. Permuter, "Wiretap Channels With Random States Non-Causally Available at the Encoder", IEEE Transactions on Information Theory, Vol. 66, pp. 1497-1519, 2020.

A. Bunin, Z. Goldfeld, H. H. Permuter, S. Shamai, P. Cuff, P. Piantanida, "Key and Message Semantic-Security Over State-Dependent Channels", IEEE Transactions on Information Forensics and Security, Vol. 15, pp. 1541-1556, 2020.

S. Sreekumar, A. Bunin, Z. Goldfeld, H. H. Permuter, S. Shamai, "The Secrecy Capacity of Cost-Constrained Wiretap Channels", IEEE Transactions on Information Theory, Vol. 67, pp. 1433-1445, 2021.

Communication Through Finite-State Channels with Feedback

Capacity of the Trapdoor Channel with Feedback

H. H. Permuter, P. Cuff, B. Van Roy, T. Weissman, "Capacity of the Trapdoor Channel with Feedback", IEEE Transactions on Information Theory, July 2008. [Slides]

H. H. Permuter, T. Weissman, A. Goldsmith, "Finite state channels with time-invariant deterministic feedback", IEEE Transactions on Information Theory, February 2009. [Slides]

H. H. Permuter, J. Chen, T. Weissman, "Capacity Region of the Finite-State Multiple Access Channel with and without Feedback", IEEE Transactions on Information Theory, June 2009.

B. Shrader, H. H. Permuter, "Feedback capacity of the compound channel", IEEE Transactions on Information Theory, Vol. 55, pp. 3629-3644, August 2009.

L. Zhao, H. H. Permuter, "Zero-error feedback capacity via dynamic programming", IEEE Transactions on Information Theory, Vol. 56, June 2010. [Slides]

J. Chen, H. H. Permuter, T. Weissman, "Tighter Bounds on the Capacity of Finite-State Channels via Markov Set-Chains", IEEE Transactions on Information Theory, Vol. 56, pp. 3660-3691, August 2010.

O. Elischo, H. H. Permuter, "Capacity and coding for the Ising Channel with Feedback", IEEE Transactions on Information Theory, Vol. 60, pp. 5138-5149, September 2014. [Slides]

H. H. Permuter, H. Asnani, T. Weissman, "Capacity of a POST Channel with and without Feedback", IEEE Transactions on Information Theory, Vol. 60, pp. 6067, October 2014. [Slides]

O. Sabag, H. H. Permuter, N. Kashyap, "Capacity of the Binary Erasure Channel With a No-Consecutive-Ones Input Constraint", IEEE Transactions on Information Theory, Vol. 62, pp. 8-22, 2016. [Slides]

O. Sabag, H. H. Permuter, H. Pfister, "A Single-Letter Upper Bound on the Feedback Capacity of Unifilar Finite-State Channels", IEEE Transactions on Information Theory, Vol. 63, pp. 1392-1409, 2017. [Slides]

O. Sabag, H. H. Permuter, N. Kashyap, "Feedback Capacity and Coding for the BIBO Channel With a No-Repeated-Ones Input Constraint", IEEE Transactions on Information Theory, 2018. Conference version won the SPCOM 2016 Best Student Paper Award

O. Peled, O. Sabag, H. H. Permuter, "Feedback Capacity and Coding for the (0, k)-RLL Input-Constrained BEC", IEEE Transactions on Information Theory, Vol. 65, no. 7, pp. 4097-4114, July 2019. Won Best Student Paper Award, ISIT 2018

O. Sabag, B. Huleihel, H. H. Permuter, "Graph-Based Encoders and Their Performance for Finite-State Channels With Feedback", IEEE Transactions on Communications, Vol. 68, pp. 2106-2117, 2020.

B. Huleihel, O. Sabag, H. H. Permuter, N. Kashyap, S. Shamai, "Computable Upper Bounds on the Capacity of Finite-State Channels", IEEE Transactions on Information Theory, Vol. 67, pp. 5674-5692, 2021.

E. Shmuel, O. Sabag, H. H. Permuter, "The Feedback Capacity of Noisy Output is the State (NOST) Channels", IEEE Transactions on Information Theory, Vol. 68, pp. 5044-5059, 2022.

E. Shmuel, O. Sabag, H. H. Permuter, "Finite-State Channels with Feedback and State Known at the Encoders", accepted to IEEE Transactions on Information Theory, 2023.

B. Huleihel, O. Sabag, H. H. Permuter, V. Kostina, "Capacity of Finite-State Channels With Delayed Feedback", IEEE Transactions on Information Theory, Vol. 67, pp. 5674-5692, 2024.

B. Huleihel, O. Sabag, H. H. Permuter, "The Duality Upper Bound for Finite-State Channels With Feedback", IEEE Transactions on Information Theory, 2025.

Coordination and Rate Distortion

Capacity of Coordinated Actions

T. M. Cover, H. H. Permuter, "Capacity of Coordinated Actions", ISIT, 2007. [Slides]

P. Cuff, H. H. Permuter, T. M. Cover, "Coordination Capacity", IEEE Transactions on Information Theory, Vol. 56, September 2010.

H. H. Permuter, Y. Steinberg, T. Weissman, "Two-way source coding with a helper", IEEE Transactions on Information Theory, Vol. 56, pp. 2905-2919, June 2010. [Slides]

J. Wang, J. Chen, L. Zhao, P. Cuff, H. H. Permuter, "On the Role of the Refinement Layer in Multiple Description Coding and Scalable Coding", IEEE Transactions on Information Theory, Vol. 57, pp. 1443-1456, March 2011. [Slides]

H. H. Permuter, T. Weissman, "Cascade and Triangular Source Coding with Side Information at the First Two Nodes", IEEE Transactions on Information Theory, Vol. 58, pp. 3339-3349, 2012. [Slides]

Y. K. Chia, H. H. Permuter, T. Weissman, "Cascade, Triangular and Two Way Source Coding with degraded side information at the second user", IEEE Transactions on Information Theory, Vol. 58, pp. 189-206, January 2012.

Causal Conditioning, Directed Information, Estimation and Portfolio Theory

Interpretations of Directed Information in Portfolio Theory, Data Compression, and Hypothesis Testing

H. H. Permuter, Y.-H. Kim, T. Weissman, "Interpretations of Directed Information in Portfolio Theory, Data Compression, and Hypothesis Testing", IEEE Transactions on Information Theory, Vol. 57, pp. 3248-3259, 2011. [Slides]

I. Naiss, H. H. Permuter, "Extension of the Blahut-Arimoto Algorithm for Maximizing Directed Information", IEEE Transactions on Information Theory, Vol. 59, pp. 204-222, 2013. [Slides]

I. Naiss, H. H. Permuter, "Computable Bounds for Rate Distortion with Feed-Forward for Stationary and Ergodic Sources", IEEE Transactions on Information Theory, Vol. 59, pp. 760-781, 2013.

Y.-H. Kim, H. H. Permuter, T. Weissman, "Directed Information, Causal Estimation, and Communication in Continuous Time", IEEE Transactions on Information Theory, Vol. 59, pp. 1271-1287, 2013. [Slides]

J. Jiao, H. H. Permuter, L. Zhao, Y.-H. Kim, T. Weissman, "Universal Estimation of Directed Information", IEEE Transactions on Information Theory, Vol. 59, pp. 6220-6242, 2013. [Slides] [Code]

D. Tsur, O. Sabag, N. Kashyap, H. H. Permuter, G. Kramer, "Directed Information: Estimation, Optimization and Applications in Communications and Causality" Book/monograph, Foundations and Trends in Communications and Information Theory, Vol. 23, no. 5, pp. 445-550, 2026.

Actions in Communication

Source Coding with a Side Information "Vending Machine"

T. Weissman, H. H. Permuter, "Source Coding with a Side Information "Vending Machine"", IEEE Transactions on Information Theory, Vol. 57, pp. 4530-4544, 2011.

H. Asnani, H. H. Permuter, T. Weissman, "Probing Capacity", IEEE Transactions on Information Theory, Vol. 57, pp. 7317-7332, 2011.

L. Dikstein, H. H. Permuter, S. Shamai, "MAC with Action-Dependent State Information at One Encoder", IEEE Transactions on Information Theory, Vol. 61, pp. 173-188, 2015. [Slides]

H. Asnani, H. H. Permuter, T. Weissman, "To Feed or Not to Feed Back", IEEE Transactions on Information Theory, Vol. 60, pp. 5150-5172, 2014.

B. Ahmadi, H. Asnani, O. Simeone, H. H. Permuter, "Information Embedding on Actions", IEEE Transactions on Information Theory, Vol. 60, pp. 6902-6916, 2014.

O. Sabag, H. H. Permuter, A. Cohen, "Lossless Coding of Correlated Sources with Action", IEEE Transactions on Information Theory, Vol. 63, pp. 469-495, 2017.

Interference Channels

R. Kolte, A. Ozgur, H. H. Permuter, "Multicoding Schemes for Interference Channels", IEEE Transactions on Information Theory, Vol. 62, pp. 4936-4952, 2016. [Slides]

Energy Harvesting Wireless Communications

D. Shaviv, A. Ozgur, H. H. Permuter, "Capacity of Remotely Powered Communication", IEEE Transactions on Information Theory, Vol. 63, pp. 469-495, 2017.

D. Shaviv, A. Ozgur, H. H. Permuter, "A Communication Channel with Random Battery Recharges", IEEE Transactions on Information Theory, Vol. 64, pp. 38-56, 2018.

Source Coding with Cooperation/Cribbing

H. Asnani, H. H. Permuter, T. Weissman, "Successive Refinement with Decoder Cooperation and its Channel Coding Duals", IEEE Transactions on Information Theory, Vol. 59, pp. 5511-5533, 2013.

Relations between Statistical Physics and Information Theory

D. A. Vinkler, H. H. Permuter, N. Merhav, "Analogy Between Gambling and Measurement-Based Work Extraction", Journal of Statistical Mechanics: Theory and Experiment, 2016. [Slides]

Image and Signal Processing

H. H. Permuter, J. M. Francos, "Estimating the orientation of planar Surfaces: Algorithms and Bounds", IEEE Transactions on Information Theory, Vol. 46, pp. 1908-1920, August 2000.

J. M. Francos, H. H. Permuter, "Parametric Estimation of Orientation of Textured Planar Surfaces", IEEE Transactions on Image Processing, Vol. 10, pp. 403-418, March 2001. [Slides]

H. H. Permuter, J. M. Francos, I. Jermyn, "A study of Gaussian mixture models of color and texture features for image classification and segmentation", Pattern Recognition, Vol. 39, pp. 695-706, February 2006. [Conf. Version]

Software Developed in Our Group

Biography

Haim H. Permuter received his B.Sc. (summa cum laude) from Ben-Gurion University (BGU) and Ph.D. from Stanford University, both in Electrical Engineering, in 1997 and 2008, respectively. Between 1997-2004, he served as a scientific research officer in an R&D unit in the Israeli Defense Forces. In the summer of 2002 he worked for IBM, Almaden Research Center. He is a recipient of several awards including Eshkol Fellowship, Wolf Award, Fulbright Fellowship, Stanford Graduate Fellowship, U.S.-Israel Binational Science Foundation Bergmann Memorial Award, and Allon Fellowship. Haim joined the faculty of Electrical Engineering at BGU in October 2008 as a tenure-track faculty member, and is now a Professor, Luck-Hille Chair in Electrical Engineering. Haim also serves as the head of the Communication, Cyber and Information Track in his department. Haim served on the editorial board of the IEEE Transactions on Information Theory in 2013-2016 and 2022-2025. Haim is an IEEE Fellow.

Awards and Honors

IEEE Fellow, Eshkol Fellowship, Wolf Award, Fulbright Fellowship, Stanford Graduate Fellowship, U.S.-Israel Binational Science Foundation Bergmann Memorial Award, Allon Fellowship

Past Events

Contact Information

Mailing Address

Department of Electrical and Computer Engineering
Ben-Gurion University of the Negev
P.O.B 653, Beer-Sheva 84105, Israel

Office

Building 33, Room 314

Communication

Email: haimp@bgu.ac.il
Phone: +972-8-6461558