A framework for thermal aware reliability estimation in 2D NoC. - Ashish Sharma 005; Prachi Upadhyay; Ruby Ansar; Vijay Laxmi; Lava Bhargava; Manoj Singh Gaur; Mark Zwolinski (VDAT, 2015)

Reinforcement Learning based Routing for Cognitive Network on Chip. - Yogendra Gupta; Lava Bhargava (ICTCS, 2016)

Reducing FIFO buffer power using architectural alternatives at RTL. - Ashish Sharma 005; Ruby Ansar; Manoj Singh Gaur; Lava Bhargava; Vijay Laxmi (VDAT, 2016)

Golden IC free methodology for hardware Trojan detection using symmetric path delays. - Ramakrishna Vaikuntapu; Lava Bhargava; Vineet Sahula (VDAT, 2016)

A Power, Thermal and Reliability-Aware Network-on-Chip. - Ashish Sharma 005; Yogendra Gupta; Sonal Yadav; Lava Bhargava; Manoj Singh Gaur; Vijay Laxmi (iNIS, 2017)

Automated Coverage Register Access Technology on UVM Framework for Advanced Verification. - Gaurav Sharma 008; Lava Bhargava; Vinod Kumar 016 (ISCAS, 2018)

Efficient and Failure Aware ECC for STT-MRAM Cache Memory. - Keerthi Sagar Kokkiligadda; Yogendra Gupta; Lava Bhargava (VDAT, 2018)

3D LBDR: Logic-Based Distributed Routing for 3D NoC. - Ashish Sharma 005; Manish Tailor; Lava Bhargava; Manoj Singh Gaur (VDAT, 2018)

Novel Variability Aware Path Selection for Self-Referencing Based Hardware Trojan Detection. - Ramakrishna Vaikuntapu; Lava Bhargava; Vineet Sahula (VLSID, 2018)

Leakage Reduction and gm Enhancement in GaN HEMT for Enhanced Sensitivity in Fibrinogen Detection from Human Plasma. - Arathy Varghese; Chinnamuthan Periasamy; Lava Bhargava; Lintu Rajan (IEEE SENSORS, 2019)

Comparative Analysis of Control-transfer Instructions On WCET of Real-Time Systems. - Soma Niloy Ghosh; Lava Bhargava; Vineet Sahula (ISED, 2019)

Automated Bug Resistant Test Intent with Register Header Database for Optimized Verification. - Gaurav Sharma 008; Lava Bhargava; Vinod Kumar 016 (J. Electron. Test., 2020)

Reuse-Aware Cache Partitioning Framework for Data-Sharing Multicore Systems. - Soma Niloy Ghosh; Vineet Sahula; Lava Bhargava (iSES, 2021)

Dynamic workload-aware DVFS for multicore systems using machine learning. - Manjari Gupta; Lava Bhargava; S. Indu 001 (Computing, 2021)

SRCP: sharing and reuse-aware replacement policy for the partitioned cache in multicore systems. - Soma Niloy Ghosh; Lava Bhargava; Vineet Sahula (Des. Autom. Embed. Syst., 2021)

Real-time automated register abstraction active power-aware electronic system level verification framework. - Gaurav Sharma 008; Lava Bhargava; Vinod Kumar 016 (Integr., 2021)

Mapping techniques in multicore processors: current and future trends. - Manjari Gupta; Lava Bhargava; S. Indu 001 (J. Supercomput., 2021)

Blood Pressure Prediction Based on Single Photoplethysmography. - Uday Chandra Akuthota; Md Muddasirul Hassan; Lava Bhargava (iSES, 2022)

Synthesis of LUT Based Approximating Adder Circuits with Formal Error Guarantees. - Pooja Choudhary; Lava Bhargava; Masahiro Fujita; Virendra Singh (VDAT, 2022)

Approximating Arithmetic Circuits for IoT Devices Data Processing. - Pooja Choudhary; Lava Bhargava; Masahiro Fujita; Virendra Singh; Ashok Kumar Suhag (Comput. Ind. Eng., 2022)

Deep neural network learning for power limited heterogeneous system with workload classification. - Manjari Gupta; Lava Bhargava; S. Indu 001 (Computing, 2022)

Variability aware Golden Reference Free methodology for Hardware Trojan Detection Using Robust Delay Analysis. - Ramakrishna Vaikuntapu; Vineet Sahula; Lava Bhargava (CoRR, 2022)

Hybrid learning scenario path selection and abstraction framework for smart verification of complex SoCs. - Gaurav Sharma 008; Lava Bhargava; Vinod Kumar 016 (J. Supercomput., 2022)

Pre-Silicon NBTI Delay-Aware Modeling of Network-on-Chip Router Microarchitecture. - Ashish Sharma 005; Manoj Singh Gaur; Lava Bhargava; Vijay Laxmi; Manoj Gupta (Microprocess. Microsystems, 2022)

Reinforcement Learning Based Prefetch-Control Mechanism. - Soma Niloy Ghosh; Vineet Sahula; Lava Bhargava (APCCAS, 2023)

Network Intrusion Classification on the UNSW-NB15 Dataset Using XGBoost Feature Selection Technique. - Uday Chandra Akuthota; Lava Bhargava (iSES, 2023)

Optimization of Imprecise Multiplier Circuits by using Binary Decision Diagram. - Pooja Choudhary; Lava Bhargava; G. U. Vinod; Ashok Kumar Suhag; Masahiro Fujita; Virendra Singh (iSES, 2023)

LUT-based Arithmetic Circuit Approximation with Formal Guarantee on Worst Case Relative Error. - Pooja Choudhary; Lava Bhargava; Masahiro Fujita; Virendra Singh (LATS, 2023)

Enhanced Multicore Performance Using Novel Thread-Aware Cache Coherence and Prefetch-Control Mechanism. - Soma Niloy Ghosh; Vineet Sahula; Lava Bhargava (IEEE Embed. Syst. Lett., 2023)

Designing of Energy-Efficient Approximate Multiplier Circuit for Processing Unit of IoT Devices. - Pooja Choudhary; Lava Bhargava; Ashok Kumar Suhag (SN Comput. Sci., 2023)

A Lightweight Low-Power Model for the Detection of Plant Leaf Diseases. - Uday Chandra Akuthota; Abhishek; Lava Bhargava (SN Comput. Sci., 2024)

A Deep Learning Approach for the Detection of Intrusions with an Ensemble Feature Selection Method. - Uday Chandra Akuthota; Lava Bhargava (SN Comput. Sci., 2024)

The role of machine and deep learning in modern intrusion detection systems: A comprehensive review. - Uday Chandra Akuthota; Lava Bhargava (Comput. Electr. Eng., 2025)

Transformer-Based Intrusion Detection for IoT Networks. - Uday Chandra Akuthota; Lava Bhargava (IEEE Internet Things J., 2025)