Research | Dr. Aditya Kumar Singh Pundir

Research Overview

Dr. Aditya Kumar Singh Pundir’s research focuses on the intersection of VLSI & Embedded Systems, Reconfigurable Hardware, and Artificial Intelligence. His work addresses reliability, fault tolerance, testing, and intelligent optimization in modern electronic systems, with applications spanning memory testing, CAD algorithms, and signal processing.

Research Interests & Domains

VLSI & Reconfigurable Hardware

Fault Tolerant Reconfigurable Hardware Architectures
SRAM-based FPGA Reliability
Design for Testability (DFT)
Hardware Redundancy and Repair Techniques

Built-In Self-Test (BIST)

Memory BIST Architectures
Embedded System Based Testing
On-chip Fault Diagnosis
Low Power Test Techniques

Artificial Intelligence & Machine Learning

AI-assisted Memory Testing and Repair
Machine Learning for Fault Prediction
Data-driven Hardware Reliability Analysis
Intelligent Test Pattern Generation

CAD Algorithms

Optimization Algorithms for VLSI CAD
Design Automation Techniques
Algorithmic Complexity Reduction
EDA Tool Optimization

Signal Processing

Digital Signal Processing Algorithms
Signal Analysis for Embedded Systems
Hardware Implementation of DSP Algorithms
AI-enabled Signal Processing Applications

Future Research Directions

Current and future research directions include the integration of Artificial Intelligence with hardware testing and repair, development of smart BIST frameworks, and exploration of energy-efficient fault tolerant systems for next-generation embedded and reconfigurable platforms.