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Publications

Keep up to date with all my latest papers, awards, and publications

I have made significant contributions to the field of electrical engineering and computer science through my extensive publications and research. I have authored over 200 peer-reviewed papers in top-tier journals and conferences, and my work has been widely cited, reflecting its impact on the academic community. I have received numerous awards, including the prestigious IEEE Information Theory Society James L. Massey Research and Teaching Award for Young Scholars and the NSF CAREER Award. I serve as an associate editor for leading journals such as the IEEE Transactions on Information Theory and the IEEE Journal on Selected Areas in Communications. I am also the co-author of several influential books and book chapters that delve into advanced topics in information theory and machine learning, further cementing my reputation as a thought leader in my field.

Complete List of Publications On Google Scholar

My Awards

IEEE Information Theory Society James L. Massey Research & Teaching Award

Presidential Early Career Award for Scientists and Engineers (PECASE) from President Obama

USC Mentoring Award

Invited Speaker at National Academy of Engineering (NAE) EU-US Frontiers of Engineering Symposium

Communications Society and Information Theory Society Joint Paper Award

Jack K. Wolf Best Paper Award at IEEE Int. Symp. Inf. Theory (ISIT)

Best Paper Award at FL-AAAI’22

Baidu Best Paper Award at NeurIPS Spicy-FL’20 Workshop

Best Paper Award at 2017 IEEE GLOBECOM Conference

National Science Foundation CAREER award

Young Investigator Program (YIP) award from AFOSR

Michael Tien ’72 Excellence in Teaching Award

David J. Sakrison Memorial Prize

Okawa Foundation Research Award

Vodafone US Foundation Research Award

Best Paper Awards from ISIT and Globecom Conferences

Presidential Award from President Khatami of Iran

CAMS Prizes for Excellence in Research with a Substantial Mathematical Component (as advisor)

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Books and Monographs

Coded Computing

Role of Caching in 5G

Problem Solving Strategies for Elementary-School Math

Polyshard: Scalable Storage and Computation

Coding for Distributed Computation on the Edge: Enabling Robust and Resilient Edge Computing in a Service Oriented Network

Distributed Caching for Enhancing Communications Efficiency,

An Approximation Approach to Network Information Theory

Multihop Wireless Networks: A Unified Approach to Relaying and Interference Management,

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Journal Publications

Coded Computing for Low-Latency Federated Learning over Wireless Edge Networks

Byzantine-Resilient Secure Federated Learning

Coded Computing for Secure Boolean Computations

Analog Lagrange Coded Computing

Interactive Verifiable Polynomial Evaluation

CodedPrivateML: A Fast and Privacy-Preserving Framework for Distributed Machine Learning

Turbo-Aggregate: Breaking the Quadratic Aggregation Barrier in Secure Federated Learning

List-Decodable Coded Computing: Breaking the Adversarial Toleration Barrier

PolyShard: Coded Sharding Achieves Linearly Scaling Efficiency and Security Simultaneously

CodedReduce: A Fast and Robust Framework for Gradient Aggregation in Distributed Learning

Edge Computing in the Dark

Compressed Coded Distributed Computing

Straggler Mitigation in Distributed Matrix Multiplication: Fundamental Limits and Optimal Coding

PolyShard: Coded Sharding Achieves Linearly Scaling Efficiency and Security Simultaneously, Transactions on Information Forensics & Security

TACC: Topology-Aware Coded Computing for Distributed Graph Processing

Fundamental Resource Trade-offs for Encoded Distributed Optimization, Information and Inference: A Journal of the IMA

Coded Computing for Distributed Graph Analytics

Entangled Polynomial Codes for Secure, Private, and Batch Distributed Matrix Multiplication: Breaking the "Cubic" Barrier

Capacity Region of the Symmetric Injective K-User Deterministic Interference Channel

An Approximation Algorithm for Optimal Clique Cover Delivery in Coded Caching

A Sampling Theory Perspective of Graph-based Semi-supervised Learning

Cache-Aided Interference Management in Wireless Cellular Networks

Coded Computation over Heterogeneous Clusters

Communication-Aware Scheduling of Serial Tasks for Dispersed Computing

A Fundamental Tradeoff between Computation and Communication in Distributed Computing

Characterizing the Rate-Memory Tradeoff in Cache Networks within a Factor of 2

Linear Degrees of Freedom of the MIMO X-Channel With Delayed CSIT

Blind Index Coding

Fundamental Limits of Non-Coherent Interference Alignment via Matroid Theory

Interference Management with Mismatched Partial Channel State Information

Blind MIMOME Wiretap Channel with Delayed CSIT

Fundamental Limits of Cache-Aided Interference Management

A Scalable Framework for Wireless Distributed Computing

Coding for Distributed Fog Computing

The Exact Rate-Memory Tradeoff for Caching with Uncoded Prefetching

Rover-to-orbiter Communication in Mars: Taking Advantage of the Varying Topology

Approximate Capacity Region of the MISO Broadcast Channels with Delayed CSIT

MISO Broadcast Channel With Hybrid CSIT: Beyond Two Users

Improving the Thresholds of Sparse Recovery: An Analysis of a Two-Step Reweighted Basis Pursuit Algorithm

On the Optimality of Treating Interference as Noise

Network Compression: Worst-Case Analysis

Interference Networks with No CSIT: Impact of Topology

Two-Hop Interference Channels: Impact of Linear Schemes

Diamond Networks with Bursty Traffic: Bounds on the Minimum Energy-Per-Bit

Layered Interference Networks with Delayed CSI: DoF Scaling with Distributed Transmitters

Degrees of Freedom of Two-Hop Wireless Networks: “Everyone Gets the Entire Cake”

Linear Degrees of Freedom of the X-Channel with Delayed CSIT

ITLinQ: A New Approach for Spectrum Sharing in Device-to-Device Communication Systems

Computing Half-Duplex Schedules in Gaussian Relay Networks via Min-Cut Approximations

Capacity Results for Binary Fading Interference Channels with Delayed CSIT

Two-Unicast Wireless Networks: Characterizing the Degrees-of-Freedom

Approximate Sum-Capacity of the Y-channel

Worst-Case Additive Noise in Wireless Networks

Timely Throughput of Heterogeneous Wireless Networks: Fundamental Limits and Algorithms

Accuracy of the morphology enabled dipole inversion (MEDI) algorithm for quantitative susceptibility mapping in MRI

Divide-and-conquer: Approaching the capacity of the two-pair bidirectional Gaussian relay network

On the Maximum Achievable Sum-Rate With Successive Decoding in Interference Channels,

Interference Channels with Rate-Limited Feedback

Analyzing Weighted $\ell_1$ Minimization for Sparse Recovery with Nonuniform Sparse Models,

Cross-layer Optimization for Wireless Networks with Deterministic Channel Models

Network error correction with unequal link capacities: upper bounds and capacities

Wireless network information flow: a deterministic approach

On Achieving Local View Capacity Via Maximal Independent Graph Scheduling

Capacity of the Two Way Relay Channel within a Constant Gap

Outage Capacity of the Fading Relay Channel in the Low SNR Regime

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Conference Publications

SpreadGNN: Serverless Multi-task Federated Learning for Graph Neural Networks

ApproxIFER: A Model-Agnostic Approach to Resilient and Robust Prediction Serving Systems

LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation in Federated Learning

SPIDER: Searching Personalized Neural Architecture for Federated Learning

Securing Secure Aggregation: Mitigating Multi-Round Privacy Leakage in Federated Learning

FedCV: A Federated Learning Framework for Diverse Computer Vision Tasks

Partial Model Averaging in Federated Learning: Performance Guarantees and Benefits

LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation in Federated Learning

Tactical Jupiter: Dynamic Scheduling of Dispersed Computations in Tactical MANETs

Analog Privacy-Preserving Coded Computing

List-Decodable Coded Computing: Breaking the Adversarial Toleration Barrier

FedGraphNN: A Federated Learning System and Benchmark for Graph Neural Networks

Basil: A Fast and Byzantine-Resilient Approach for Decentralized Training

FairFed: Enabling Group Fairness in Federated Learning

Federated Learning for Internet of Things: A Federated Learning Framework for On-device Anomaly Data Detection

PipeTransformer: Automated Elastic Pipelining for Distributed Training of Large-scale Models

SSFL: Tackling Label Deficiency in Federated Learning via Personalized Self-Supervision

Collage Inference: Using Coded Redundancy for Lowering Latency Variation in Distributed Image Classification Systems

FedNAS: Federated Deep Learning via Neural Architecture Search

Group Knowledge Transfer: Federated Learning of Large CNNs at the Edge

Minimax Lower Bounds for Transfer Learning with Linear and One-hidden Layer Neural Networks

A Scalable Approach for Privacy-Preserving Collaborative Machine Learning

Lagrange Coded Computing: Optimal Design for Resiliency, Security and Privacy

Coded State Machine - Scaling State Machine Execution under Byzantine Faults

Timely-Throughput Optimal Coded Computing over Cloud Networks

Slack squeeze coded computing for adaptive straggle mitigation, in ACM/IEEE International Conference for High Performance Computing, Networking, Storage, and Analysis

Distributed Solution of Large-Scale Linear Systems via Accelerated Projection-Based Consensus

Communication-Aware Scheduling of Serial Tasks for Dispersed Computing

Coded Computing for Distributed Graph Analytics

Compressed Coded Distributed Computing

Straggler Mitigation in Distributed Matrix Multiplication: Fundamental Limits and Optimal Coding

Near-Optimal Straggler Mitigation for Distributed Gradient Methods

Coding for Private and Secure Computing

Pipe-SGD: A Decentralized Pipelined SGD Framework for Distributed Deep Net Training

GradiVeQ: Vector Quantization for Bandwidth-Efficient Gradient Aggregation in Distributed CNN Training

How to Optimally Allocate Resources for Coded Distributed Computing

Cache-Aided Interference Management in Wireless Cellular Networks

Capacity Region of the Symmetric K-User Deterministic Interference Channel

On the Optimality of Separation between Caching and Delivery in General Cache Networks

Characterizing the Rate-Memory Tradeoff in Cache Networks within a Factor of 2

The Exact Rate-Memory Tradeoff for Caching with Uncoded Prefetching

Coded Computation over Heterogeneous Clusters

Communication-Aware Computing for Edge Processing

SINR-Threshold Scheduling with Binary Power Control for D2D Networks

On Heterogeneous Coded Distributed Computing

Architectures for Coded Mobile Edge Computing

Polynomial Codes: an Optimal Design for High-Dimensional Coded Matrix Multiplication

Active Learning on Weighted Graphs Using Adaptive and Non-Adaptive Approaches

Active Learning on Weighted Graphs Using Adaptive and Non-Adaptive Approaches

Topological Interference Management with Reconfigurable Antennas

Active Learning for Community Detection in Stochastic Block Models

Fundamental Limits of Cache-Aided Interference Management

A Scalable Framework for Wireless Distributed Computing

A Unified Coding Framework for Distributed Computing with Straggling Servers

Blind Index Coding over Wireless Channels: The Value of Repetition Coding

Topological Interference Management with just Retransmission: What are the "Best" Topologies?

Three-User MISO Broadcast Channel: How Much Can CSIT Heterogeneity Help

Asymptotic Justification of Band-Limited Interpolation of Graph Signals for Semi-Supervised Learning

A General Outer Bound for MISO Broadcast Channel with Heterogeneous CSIT

Rover-to-orbiter Communication in Mars: Taking Advantage of the Varying Topology

When Does an Ensemble of Matrices with Randomly Scaled Rows Lose Rank

Blind Index Coding

Coded MapReduce

ITLinQ: A New Approach for Spectrum Sharing in Device-to-Device Communication Systems

Align-and-Forward Relaying for Two-hop Erasure Broadcast Channels

Blind Wiretap Channel with Delayed CSIT

Binary Fading Interference Channel with No CSIT

ITLinQ: A New Approach for Spectrum Sharing in Device-to-Device Communication System

Linear Degrees of Freedom of the MIMO X-Channel with Delayed CSIT

A Generalized Cut-Set Bound for Deterministic Multi-Flow Networks and its Applications

Communication Through Collisions: Opportunistic Utilization of Past Receptions

Transmitter Cooperation in Interference Channel with Delayed CSIT

How to Utilize Caching to Improve Spectral Efficiency in Device-To-Device Wireless Networks

Sampling Large Data on Graphs

On Efficient Min-Cut Approximations in Half-Duplex Relay Networks

On Degrees of Freedom Scaling in Layered Interference Networks with Delayed CSI

Network Compression: Worst-Case Analysis

Two-Hop Interference Channels: Impact of Linear Time-Varying Schemes

Impact of Topology on Interference Networks with No CSIT

A Latent Social Approach to YouTube Popularity Prediction

On the Optimality of Treating Interference As Noise

Operational Extremality of Gaussianity in Network Compression

Approximate Capacity of the Two-User MISO Broadcast Channel with Delayed CSIT

A Rank Ratio Inequality and the Linear Degrees of Freedom of X-Channel with Delayed CSIT

Approximating the Timely Throughput of Heterogeneous Wireless Networks

Bounds on the Minimum Energy-Per-Bit for Bursty Traffic in Diamond Networks

Is Gaussian Noise the Worst-Case Additive Noise in Wireless Networks

Binary Fading Interference Channel with Delayed Feedback

Degrees of Freedom of Two-Hop Wireless Networks: “Everyone Gets the Entire Cake”

Worst-Case Source for Distributed Compression with Quadratic Distortion

On the Role of Deterministic Models in K×K×K Wireless Networks

On the Sum-Capacity of the Y-Channel

On the Sum-Capacity with Successive Decoding in Interference Channels

Maximal Clique Scheduling for Interference Networks with Local View

Sum Degrees-of-Freedom of Two-Unicast Wireless Networks

Interference Channel with Binary Fading: Effect of Delayed Network State Information

Breaking through the Thresholds: an Analysis for Iterative Reweighted $\e ll_1$ Minimization via the Grassmann Angle Framework

Cross-layer Optimization for Wireless Networks with Deterministic Channel

New Results on Network Error Correction: Capacities and Upper Bounds

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Theses

(Ph.D. Thesis) Wireless Network Information Flow: A Deterministic Approach

(M.Sc. Thesis) Outage Capacity of the Fading Relay Channel in the Low SNR Regime

(B.Sc. Thesis) Multirate Structures for Arbitrary Rate Error Control Coding

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