Perceptually guided inexact DSP design for power, area efficient hearing aid. - Sai Praveen Kadiyala; Aritra Sen; Shubham Mahajan; Qingyun Wang 003; Avinash Lingamneni; James Sneed German; Xu Hong; Ansuman Banerjee; Krishna V. Palem; Arindam Basu (BioCAS, 2015)

On-the-Fly Mapping for Synthesizing Dynamic Domino Circuits. - Sai Praveen Kadiyala; Debasis Samanta (VLSID, 2015)

Approximate compressed sensing for hardware-efficient image compression. - Sai Praveen Kadiyala; Vikram Kumar Pudi; Siew-Kei Lam (SoCC, 2017)

Side-Channel Assisted Malware Classifier with Gradient Descent Correction for Embedded Platforms. - Manaar Alam; Debdeep Mukhopadhyay; Sai Praveen Kadiyala; Siew Kei Lam; Thambipillai Srikanthan (PROOFS, 2018)

Hardware Efficient NIPALS Architecture for Principal Component Analysis of Hyper Spectral Images. - Sai Praveen Kadiyala; Vikram Kumar Pudi; Mohit Garg; Hau T. Ngo; Siew-Kei Lam; Thambipillai Srikanthan (SoCC, 2019)

An Optimum Inexact Design for an Energy Efficient Hearing Aid. - Sai Praveen Kadiyala; Aritra Sen; Shubham Mahajan; Quingyun Wang; Avinash Lingamaneni; James Sneed German; Xu Hong; Krishna V. Palem; Arindam Basu (J. Low Power Electron., 2019)

HARDY: Hardware based Analysis for malwaRe Detection in embedded sYstems. - Sai Praveen Kadiyala; Mohit Garg; Manaar Alam; Hau T. Ngo; Debdeep Mukhopadhyay; Thambipillai Srikanthan (SoCC, 2020)

Improving accuracy of HPC-based malware classification for embedded platforms using gradient descent optimization. - Manaar Alam; Debdeep Mukhopadhyay; Sai Praveen Kadiyala; Siew-Kei Lam; Thambipillai Srikanthan (J. Cryptogr. Eng., 2020)

LAMBDA: Lightweight Assessment of Malware for emBeddeD Architectures. - Sai Praveen Kadiyala; Manaar Alam; Yash Shrivastava; Sikhar Patranabis; Muhamed Fauzi Bin Abbas; Arnab Kumar Biswas; Debdeep Mukhopadhyay; Thambipillai Srikanthan (ACM Trans. Embed. Comput. Syst., 2020)

Hardware Performance Counter-Based Fine-Grained Malware Detection. - Sai Praveen Kadiyala; Pranav Jadhav; Siew-Kei Lam; Thambipillai Srikanthan (ACM Trans. Embed. Comput. Syst., 2020)

Program Behavior Analysis and Clustering using Performance Counters. - Sai Praveen Kadiyala; Kartheek Akella; Tram Truong-Huu (CoRR, 2021)

Securing Microservices Against Password Guess Attacks using Hardware Performance Counters. - Sai Praveen Kadiyala; Xiaolan Li; Wonjun Lee; Andrew Catlin (SOCC, 2022)

Identifying Biomarkers for Accurate Detection of Stress. - Kiran Jambhale; Smridhi Mahajan; Benjamin Rieland; Nilanjan Banerjee; Abhijit Dutt; Sai Praveen Kadiyala; Ramana Vinjamuri (Sensors, 2022)

Accurate Body Pose Matching for Individuals with Stroke using Siamese Networks. - Ruslan Gokhman; Talya Sawdayi; Rana Khan; Ashwin Satyanarayana; Ramana Vinjamuri; Sai Praveen Kadiyala (CHASE, 2024)

Generative AI-Based Difficulty Level Design of Serious Games for Stroke Rehabilitation. - Ke Chen; Ramana Vinjamuri; Honggang Wang 001; Sai Praveen Kadiyala (IEEE Internet Things J., 2024)

A Framework for Empirical Fourier Decomposition-Based Gesture Classification for Stroke Rehabilitation. - Ke Chen; Honggang Wang 001; Andrew Catlin; Ashwin Satyanarayana; Ramana Vinjamuri; Sai Praveen Kadiyala (IEEE Internet Things J., 2025)