Coding Theory

Quantum Error Correction Codes

Development and analysis of error-correcting codes designed to protect quantum information from decoherence and operational errors in quantum computing systems.

RESEARCH GAP FRONTIERS

Low-Density Parity-Check Codes

Study of sparse graph-based codes with efficient iterative decoding algorithms approaching Shannon capacity limits.

RESEARCH GAP FRONTIERS

Polar Codes and Construction Methods

Investigation of channel-polarization-based codes achieving symmetric capacity with explicit constructions and successive cancellation decoding.

RESEARCH GAP FRONTIERS

Turbo Codes and Iterative Decoding

Analysis of concatenated codes with iterative message-passing algorithms for near-capacity performance in bandwidth-limited channels.

RESEARCH GAP FRONTIERS

Network Coding Theory Applications

Development of coding strategies for multicast and distributed networks enabling increased throughput and robustness.

RESEARCH GAP FRONTIERS

Algebraic Geometry Codes

Construction of codes from algebraic curves and varieties achieving excellent tradeoffs between rate and minimum distance.

RESEARCH GAP FRONTIERS

Convolutional Code Design Optimization

Research on optimal trellis structures and Viterbi decoding algorithms for sequential error correction in streaming systems.

RESEARCH GAP FRONTIERS

Spatially-Coupled Code Analysis

Study of iteratively decodable codes with spatial structure achieving threshold saturation and improved performance.

RESEARCH GAP FRONTIERS

List Decoding and Error-Correction

Investigation of decoding algorithms returning multiple codeword candidates for improved error-correction capacity beyond unique decoding.

Fountain Codes and Rateless Coding

Development of codes generating unlimited encoded symbols with computational efficiency for unreliable broadcast channels.

Codes for Flash Memory Systems

Design of specialized error-correcting codes addressing cell-to-cell interference and retention errors in NAND flash storage.

Machine Learning for Code Design

Application of neural networks and deep learning to discover novel code constructions and optimize decoding algorithms.

Lattice-Based Coding Constructions

Research on codes derived from lattice structures with applications to wireless communications and cryptographic systems.

Cyclic Code Decoding Algorithms

Advanced techniques for decoding cyclic and BCH codes including syndrome decoding and root-finding methods.

LDPC Codes for 5G Networks

Optimization of low-density parity-check codes specifically for fifth-generation wireless communication standards and massive MIMO.

Distributed Storage and Repair Codes

Development of MDS and regenerating codes minimizing bandwidth during node repair in cloud storage systems.

Successive Cancellation Decoding

Analysis and optimization of sequential decoding methods for polar codes with reduced complexity implementations.

Coded Caching Schemes

Design of content delivery systems using coding to reduce bandwidth through intelligent edge caching strategies.

Wiretap Channel Secure Coding

Development of codes achieving secrecy capacity in channels with eavesdropping constraints through coset encoding.

Belief Propagation and Message Passing

Theoretical analysis of iterative inference algorithms on graphical models for efficient code decoding.

Concatenated Code Constructions

Study of serially and parallelly concatenated codes with interleaving strategies for achieving near-Shannon performance.

Soft-Decision Decoding Methods

Development of decoding algorithms utilizing channel reliability information for improved error-correction capability.

Syndrome Decoding Optimization

Research on efficient lookup tables and algorithms for linear code decoding via syndrome computation.

Iterative Decoding Convergence Analysis

Mathematical analysis of convergence properties and stability thresholds in message-passing decoding algorithms.

DNA Storage Channel Coding

Design of specialized error-correcting codes for DNA-based molecular storage systems with substitution and insertion errors.

Optical Communication Code Design

Development of coded modulation schemes for long-haul fiber and free-space optical communication systems.

Tanner Graph Structures Analysis

Investigation of bipartite graph representations of codes and optimization for reduced girth and cycle structure.

Capacity-Achieving Code Construction

Explicit construction of codes provably approaching Shannon capacity with practical decoding complexity bounds.

Codes for Bursty Error Channels

Design of interleaving and code structures resilient to clustered error events in wireless and burst-prone channels.

Adaptive Modulation and Coding

Dynamic selection of code rates and modulation schemes based on real-time channel state information feedback.

Hamming Code Generalizations

Extension of perfect code theory and analysis of optimal single-error-correcting code families.

Codes with Algebraic Structure

Study of codes exhibiting group and ring structures enabling efficient encoding and decoding via algebraic operations.

Channel Capacity and Code Rate

Theoretical investigation of fundamental limits between achievable code rates and various channel models.

Spatiotemporal Code Design

Development of space-time coding strategies for MIMO systems exploiting spatial and temporal diversity.

Decoding Complexity Reduction Methods

Innovation in low-complexity decoding architectures through approximation algorithms and hardware optimization.

Codes for Insertion-Deletion Channels

Design of specialized codes correcting synchronization errors arising from symbol insertion and deletion events.

Decentralized Network Code Coordination

Distributed algorithms for network coding without central coordination in multi-hop relay networks.

Fountain Code Rate Optimization

Analysis of degree distributions and systematic fountain constructions for achieving optimal rates over erasure channels.

Quantum LDPC Code Constructions

Development of sparse quantum error-correcting codes with improved scaling and efficient quantum decoding.

Algebraic Decoding for Cyclic Codes

Implementation of BCH and Reed-Solomon decoding using polynomial arithmetic and fast algorithms.

Coded Modulation Schemes

Integration of coding and modulation design to maximize spectral efficiency in bandwidth-constrained channels.

Information Theoretic Code Bounds

Derivation and analysis of Singleton, Hamming, and Plotkin bounds on code parameters.

Stochastic Decoding Algorithms

Development of randomized and approximate decoding methods for codes with reduced computational overhead.

Multi-Level Code Architecture

Design of hierarchical coding schemes for progressive transmission and graceful degradation in systems.

Codes for Molecular Communications

Specialized coding theory for diffusion-based nano-scale communication with timing and concentration errors.

Expander Graph Based Codes

Construction of codes from expander graphs achieving efficient decoding and optimal asymptotic rate-distance tradeoffs.

Sequential Decoding Algorithms

Analysis of stack and Fano decoding algorithms for convolutional codes with variable computation time.

Rateless Code Streaming Applications

Application of fountain codes to video streaming and packet recovery in heterogeneous network conditions.

Coherent Versus Non-Coherent Coded Detection

Design of codes optimized for detection scenarios with and without channel state information availability.

Post-Quantum Cryptographic Codes

Development of code-based cryptosystems and key encapsulation mechanisms resistant to quantum computing attacks.

Spatially-Coupled Turbo Code Performance

Investigation of threshold saturation and waterfall region improvements in spatially-coupled turbo codes for approaching Shannon limits.

Nonbinary LDPC Code Decoding

Advanced decoding algorithms and complexity reduction techniques for LDPC codes over higher-order finite fields.

Codes for Channels with Memory

Development of coding schemes optimized for channels exhibiting temporal correlation and state-dependent characteristics.

Machine Learning Based Channel Estimation

Neural network approaches for joint channel estimation and code optimization in communication systems.

Protograph-Based LDPC Code Design

Construction and optimization of LDPC codes through protograph expansion with improved girth and convergence properties.

Codes for Deletion and Substitution

Theoretical frameworks and constructions for correcting simultaneous deletion and substitution errors in sequences.

Belief Propagation Decoding Dynamics

Analysis of convergence rates and fixed points in belief propagation algorithms over bipartite graphs.

Codes for Synchronization Errors

Design of error-correcting codes robust to timing misalignment and frame synchronization failures.

Irregular Repeat-Accumulate Codes

Analysis and optimization of irregular RA codes achieving near-capacity performance with low complexity decoding.

Codes for Millimeter Wave Communications

High-frequency coding techniques addressing beam training and beam tracking challenges in mmWave systems.

Sum-Product Decoding Algorithm Variants

Novel message-passing variants and quantization strategies for efficient hardware implementation of sum-product decoders.

Codes for Magnetic Recording Systems

Development of codes addressing intersymbol interference and thermal noise in hard disk drive channels.

Polar Code Successive Cancellation List

Analysis and optimization of SCL decoding for polar codes with performance-complexity trade-offs.

Index Coding Problem Formulations

Graph-theoretic approaches and approximation algorithms for optimal index code construction in broadcast channels.

Codes for Satellite Communication Links

Rain fade resistant and power-efficient coding schemes for satellite downlink and feeder link channels.

Quantum Capacity Achieving Codes

Construction of quantum codes that asymptotically achieve quantum channel capacity with polynomial decoding complexity.

Codes with Feedback in Channels

Adaptive coding strategies leveraging channel feedback for improved error correction and throughput optimization.

Expander Code Construction Methods

Systematic development of codes based on expander graph properties with optimal minimum distance bounds.

Codes for Internet of Things

Energy-efficient and low-latency coding schemes designed for battery-constrained IoT devices and networks.

Cryptographic Codes and Secure Transmission

Integration of error correction with encryption techniques for simultaneous reliability and information-theoretic security.

Codes for Visible Light Communication

Coding designs addressing intensity modulation constraints and multipath propagation in optical wireless systems.

Approximate Message Passing Decoders

Theoretical analysis and implementation of AMP algorithms for efficient decoding of structured codes.

Codes for Ambient Backscatter Systems

Ultra-low-power coding techniques for passive backscatter communication with minimal infrastructure requirements.

Guessing Decoding and List Decoding

Development of efficient algorithms for computing guessing exponents and decoding multiple candidate codewords.

Codes for MIMO Channel Systems

Space-time coding architectures exploiting channel diversity while managing receiver complexity trade-offs.

Codes for Molecular Communication

Error correction schemes for nanocale communication exploiting molecular diffusion and propagation delays.

Fountain Code Degree Distribution

Optimization of degree sequences in rateless codes to minimize overhead and decoding complexity.

Codes for Underwater Acoustic Channels

Adaptive coding for severe multipath and Doppler effects in long-distance undersea communications.

Systematic Code Construction Theory

Mathematical frameworks for designing codes with explicit information symbols and efficient encoder implementations.

Codes for Ambient Noise Channels

Robust coding techniques for non-Gaussian and impulsive noise environments in practical communication systems.

Algebraic Soft-Decision Decoding

Advanced algebraic techniques for decoding using soft information from non-binary symbols and reliability metrics.

Codes for Sensing and Information

Joint design of sensing matrices and error-correcting codes for simultaneous channel sensing and data transmission.

Multi-Edge Type LDPC Codes

Generalization of Tanner graph representations allowing heterogeneous edge structures for improved code performance.

Codes for Age of Information

Development of coding strategies minimizing information freshness age in time-sensitive communication networks.

Codes with Locality and Repair

Analysis of codes combining small locality constraints with efficient distributed repair in storage systems.

Codes for Simultaneous Wireless Power

Integrated coding designs for systems combining energy harvesting and information transmission simultaneously.

Hybrid Decoding Algorithms Parallel

Combination of hard and soft decoding methods executed in parallel for reduced latency and improved performance.

Codes for Cooperative Communications

Network coding techniques leveraging relay cooperation for enhanced reliability and spectral efficiency.

Codes for Time-Varying Channels

Adaptive and interleaved coding schemes for channels with rapid fading and changing statistical properties.

Quasi-Cyclic Code Constructions

Development and analysis of codes with quasi-cyclic structure enabling efficient implementations and decoding.

Codes for Cross-Layer Optimization

Integrated coding strategies coordinating multiple communication layers for overall system performance improvement.

Codes for Biometric Authentication

Error correction codes for fuzzy biometric data enabling secure authentication despite measurement variation.

Codes for Blockchain Systems

Efficient coding techniques for ensuring data redundancy and recovery in distributed ledger technologies.

Nonlinear Decoding Methods Analysis

Study of decoding algorithms beyond linear approximations with performance guarantees and complexity bounds.

Codes for Terahertz Communications

Specialized coding schemes addressing severe molecular absorption and phase noise in THz frequency bands.

Codes for Reconfigurable Intelligent Surfaces

Joint optimization of coding with RIS phase shifts for enhanced channel capacity and energy efficiency.

Codes for Distributed Machine Learning

Coding techniques addressing stragglers and data heterogeneity in federated learning and gradient aggregation.

Codes for Analog Channel Communications

Analog coding schemes for continuous-valued channels avoiding digital quantization and conversion losses.

Reed-Solomon Code Decoding Algorithms

Development of efficient hard and soft-decision decoding algorithms for Reed-Solomon codes in high-speed communication systems.

Generalized Low-Density Codes Analysis

Theoretical and empirical study of code structures with variable sparsity patterns and irregular degree distributions.

Batch Decoding and Parallelization Methods

Research into parallel decoding architectures that process multiple codewords simultaneously while maintaining throughput efficiency.

Codes for Age-of-Information Minimization

Development of coding systems optimized for time-sensitive applications where data freshness is critical beyond traditional error correction.

Spatially-Coupled Polar Code Constructions

Analysis of coupled polar code structures achieving improved thresholds and threshold saturation in BP decoding regimes.

Codes for Grant-Free Random Access

Design of coding schemes supporting massive unscheduled access in sporadic communication scenarios with joint user detection and decoding.

Nonbinary LDPC Code Optimization

Theory and practice of LDPC codes over larger alphabets with improved performance-complexity tradeoffs for diverse channels.

Codes for Terahertz Band Communications

Specialized coding constructions addressing unique propagation and noise characteristics in terahertz frequency spectrum applications.

Channel Coding with Feedback Mechanisms

Research on interactive coding protocols that leverage channel feedback to dynamically adjust code rates and decoding strategies.

Codes for Semantic Communication Systems

Integration of coding theory with semantic information theory to transmit task-relevant data rather than exact bit sequences.

Minimum Distance Enumeration Techniques

Development of computational methods for determining minimum Hamming distance and weight distributions in complex code structures.

Codes for Backscatter Communications Networks

Energy-efficient coding designs for ultra-low power devices that communicate via ambient signal reflection in IoT ecosystems.

Algebraic-Geometric Decoding Complexity

Analysis of computational complexity and practical implementation challenges in algebraic geometry code decoders.

Codes for Near-Field Communications

Development of coding strategies optimized for near-field electromagnetic channels with non-uniform spatial patterns.

Interleaver Design and Optimization

Mathematical framework for designing interleavers that maximize randomness properties and decoder performance in concatenated systems.

Codes for Vehicular Communication Networks

Low-latency, high-reliability coding schemes adapted to vehicle-to-vehicle channels with rapid fading and Doppler effects.

Weight Distribution and Code Duality

Study of complementary relationships between dual code structures and their impact on weight enumerators and decoding performance.

Codes for Orbital Angular Momentum Channels

Specialized coding techniques for communication systems utilizing orbital angular momentum of electromagnetic waves for multiplexing.

Decoding Under Quantization Constraints

Analysis of decoder performance when channel observations and computations are subject to finite-precision quantization effects.

Codes for Molecular Information Storage

Error-correction codes designed for biochemical storage mediums with symmetric and asymmetric substitution and deletion patterns.

Gradient-Based Code Learning Methods

Application of deep learning with gradient optimization for end-to-end code discovery and decoder training.

Codes for Symbiotic Radio Systems

Co-designed coding schemes enabling simultaneous operation of ambient backscatter and conventional radio networks.

Syndrome Belief Propagation Decoding

Advanced BP algorithms operating directly on syndrome information for reduced computational complexity in sparse parity-check codes.

Codes for Ambient Sensing Applications

Coding strategies enabling simultaneous data transmission and environmental parameter estimation in joint communication-sensing systems.

Hybrid Automatic Repeat Request Design

Theory and construction of incremental redundancy systems combining code structure optimization with retransmission protocols.

Codes for Semantic-Physical Layer Design

Integration framework merging semantic relevance metrics with classical coding metrics to optimize task-oriented communications.

Graph-Based Code Isomorphism Testing

Computational algorithms for determining equivalence classes of linear codes through Tanner graph and incidence structure analysis.

Partially Systematic Code Construction

Development of code families maintaining partial systematic structure to balance implementation flexibility with performance benefits.

Codes for Covert Communications Channels

Coding schemes enabling reliable hidden communication while minimizing detectability by adversarial passive observers.

Soft-Output Decoding Algorithms

Development of efficient soft-decision decoders providing reliability information for iterative processing in multi-stage systems.

Codes for Holographic Data Storage

Error-correction schemes tailored for three-dimensional optical storage with crosstalk interference and wavelength-dependent noise.

Capacity Regions for Multi-User Coding

Theoretical characterization of achievable rate regions in multi-user scenarios with integrated coding and resource allocation.

Codes for Visible Light Communications

Coding optimization for optical intensity-modulated channels with signal-dependent noise and bandwidth limitations.

Decoding Failure Rate Analysis Methods

Statistical and simulation frameworks for characterizing and predicting decoding errors at finite block lengths.

Codes for Cognitive Radio Spectrum

Adaptive coding systems detecting and exploiting spectrum opportunities while avoiding interference to primary users.

Protograph-Based Code Analysis

Lifting and graphical representation methods for designing and analyzing ensembles of LDPC and spatially-coupled codes.

Multi-Dimensional Coded Modulation

Integrated code and constellation design exploiting multi-dimensional signal space for improved power and bandwidth efficiency.

Codes for Recurrent Neural Network Detection

Co-design of codes and RNN-based sequence detectors optimizing joint decoding of channels with memory.

Algebraic Soft Decoding Techniques

Development of soft-decision decoding methods leveraging algebraic structure of codes for improved error performance.

Codes for Ambient Temperature Sensing

Integrated coding-sensing systems enabling simultaneous data transmission and thermal environment parameter extraction.

Graph Cut Decoding Framework

Application of graph optimization techniques and max-flow algorithms to the code decoding problem.

Codes for Holomorphic Signal Processing

Complex-valued coding constructions optimized for analytic signal representations in communication systems.

Reed-Solomon Codes Decoding Efficiency

Research into fast and efficient algorithms for decoding Reed-Solomon codes with focus on reducing computational complexity in real-time applications.

Bose-Chaudhuri-Hocquenghem Code Theory

Investigation of BCH codes construction, properties, and decoding methodologies for burst error correction in communication systems.

Spatially Coupled Polar Code Design

Development of spatially coupled polar codes combining the benefits of spatial coupling with polar code structure for improved performance.

Machine Learning Based Channel Coding

Application of deep learning and neural networks for autonomous discovery and optimization of channel coding schemes.

Serially Concatenated Code Optimization

Analysis and design of serially concatenated codes with optimized interleaver patterns for improved iterative decoding performance.

Regenerating Codes Network Reliability

Study of regenerating codes for distributed storage systems with focus on minimizing bandwidth during node failures and repair.

Trellis Coded Modulation Advances

Research on advanced trellis coded modulation techniques combining convolutional codes with signal constellation design.

Codes for Partially Coherent Channels

Development of coding schemes designed specifically for communication channels with imperfect channel state information.

Iterative Decoding Threshold Analysis

Theoretical analysis of convergence thresholds and error floor behavior in iteratively decoded code ensembles.

Analog Coded Computing Strategies

Integration of coding theory with analog computing architectures for error-resilient computation in unconventional hardware.

Codes with Structural Constraints Design

Construction of codes satisfying additional structural requirements such as balanced weight distributions or cyclic properties.

Hybrid Quantum-Classical Error Correction

Investigation of coding strategies that leverage both quantum and classical error correction for enhanced fault tolerance.

Codes for Wireless Sensor Networks

Design of lightweight and energy-efficient coding schemes tailored for resource-constrained wireless sensor network applications.

Sequential Decoding Complexity Bounds

Analysis of sequential decoding algorithms with focus on computational complexity bounds and stack behavior.

Rate-Compatible Code Construction Methods

Development of code families supporting multiple rates and puncturing patterns for adaptive communication systems.

Codes for Nonlinear Channels

Research on coding strategies designed to mitigate effects of nonlinear distortion in communication channels.

Sparse Graph Code Threshold Optimization

Optimization of sparse graph code parameters to achieve thresholds approaching Shannon limits with practical decoding.

Codes for Synchronization Errors Recovery

Development of coding schemes resilient to timing and synchronization errors in asynchronous communication systems.

Codes for Massive MIMO Systems

Investigation of coding schemes optimized for massive multiple-input multiple-output systems with large antenna arrays.

Belief Propagation Damping Strategies

Research on damping and regularization techniques for improving belief propagation decoder stability and convergence.

Codes for Terahertz Communication

Design of coding schemes addressing unique characteristics of terahertz frequency band communications.

Low-Latency Code Decoding Algorithms

Development of decoding algorithms minimizing latency for real-time applications including wireless and vehicular systems.

Codes with List Decoding Radius

Theoretical investigation of list decoding radius and algorithms for efficiently finding small codeword lists.

Fountain Codes Systematic Encoding

Study of systematic fountain code constructions allowing original symbols to be recovered without computational overhead.

Spatiotemporal LDPC Code Design

Construction of LDPC codes exploiting spatiotemporal correlation in multi-dimensional signal spaces.

Soft Information Decoding Algorithms

Development of decoding algorithms maximally exploiting soft information from channel for improved error correction.

Turbo Product Code Analysis

Comprehensive study of turbo product codes including construction, decoding, and performance analysis.

Codes for Interference Alignment Channels

Investigation of coding strategies leveraging interference alignment principles in multi-user communication systems.

Stochastic Computing With Codes

Integration of coding theory with stochastic computing paradigms for fault-tolerant unreliable computation.

Codes for Modulation Recognition

Development of coding schemes supporting blind modulation scheme identification without prior channel knowledge.

Hybrid Automatic Repeat Request Optimization

Optimization of HARQ protocols and incremental redundancy strategies for improved throughput and reliability.

Codes for Emerging Storage Media

Design of coding schemes for novel storage technologies including holographic and molecular storage systems.

Rank-Metric Codes and Network Applications

Investigates error-correcting codes based on rank distance metrics for applications in network coding and wireless communications.

Distributed Decoding in Sensor Networks

Research on distributed decoding algorithms allowing collaborative error correction across networked sensor nodes.

Codes With Lower Bounded Distance

Construction and analysis of codes with provable minimum distance guarantees for reliability.

Spatially-Coupled Protograph LDPC Codes

Studies the design and performance analysis of protograph-based spatially-coupled LDPC codes achieving capacity under belief propagation decoding.

Codes for Compressed Sensing Recovery

Application of coding theory principles to sparse signal recovery in compressed sensing frameworks.

Codes for the Erasure Channel Analysis

Develops optimal coding strategies and theoretical bounds for communication systems where symbols are completely lost rather than corrupted.

AI-Enhanced Iterative Decoder Design

Applies deep learning and neural networks to improve the performance and convergence speed of iterative decoding algorithms.

Codes for Non-Binary AWGN Channels

Analyzes the design and decoding of non-binary error-correcting codes optimized for non-orthogonal modulation schemes.

Codes for Backscatter Communication Systems

Development of coding schemes tailored for ambient backscatter communication with ultra-low power constraints.

Partially Observable Markov Decoding Processes

Formulates decoding as a partially observable Markov decision process to optimize decoder state management and error recovery.

Edge Computing Error Correction Codes

Research on lightweight codes for edge computing systems balancing error correction capability with computational efficiency.

Codes for Age-of-Information Minimization

Designs coding schemes that minimize information freshness delay in networked systems with feedback constraints.

Codes With Availability Constraints

Construction of codes for distributed storage satisfying systematic availability requirements for rapid data recovery.

Reed-Solomon Code Soft-Decision Extensions

Develops advanced soft-decision decoding techniques for Reed-Solomon codes to improve error correction performance.

Non-Binary LDPC Code Construction

Design and optimization of non-binary LDPC codes achieving superior performance over binary counterparts.

Codes for Compute-and-Forward Networks

Develops coding strategies enabling intermediate nodes in wireless networks to perform joint decoding and computation operations.

Codes for Ambient Backhaul Networks

Investigation of coding strategies enabling interference exploitation in ambient backhaul communication scenarios.

Graph Cutting and Code Design

Application of graph partitioning and cutting techniques to optimize code structure and decoding parallelization.

Security Against Simultaneous Eavesdroppers

Constructs multi-receiver secure coding schemes providing information-theoretic secrecy against multiple colluding eavesdroppers.

Codes for Terahertz Communication Systems

Designs error-correcting codes optimized for the unique channel characteristics and frequency bands of terahertz wireless transmission.

Modulation Code Joint Optimization Framework

Develops unified optimization frameworks for simultaneous design of modulation and coding components in communication systems.

Codes for Memoryless Broadcast Channels

Studies capacity-achieving code constructions for broadcasting messages to multiple receivers with different channel quality.

Convolutional Codes Maximum Likelihood Decoding

Analyzes optimized Viterbi algorithm variants and alternative maximum likelihood decoding techniques for convolutional codes.

Codes for Synchronization Error Channels

Develops robust coding schemes tolerating timing misalignment and clock drift in digital communication receivers.

Graph-Based Iterative Code Design Methods

Employs graph optimization and iterative refinement algorithms to systematically construct codes with improved performance curves.

Codes for Interference Alignment Networks

Designs algebraic codes enabling interference alignment in multi-user wireless networks for capacity enhancement.

Codes for Sensing and Communications Systems

Constructs codes simultaneously optimizing target sensing accuracy and information transmission reliability in dual-function systems.

Byzantine Fault-Tolerant Distributed Coding

Develops distributed coding and decoding protocols resilient to Byzantine failures in collaborative decoding systems.