Surface Mesh Generation for Dirty Geometries by Shrink Wrapping using Cartesian Grid Approach. - Y. K. Lee; Chin K. Lim; Hamid Ghazialam; Harsh Vardhan; Erling Eklund (IMR, 2006)

Surface mesh generation for dirty geometries by the Cartesian shrink-wrapping technique. - Y. K. Lee; Chin K. Lim; Hamid Ghazialam; Harsh Vardhan; Erling Eklund (Eng. Comput., 2010)

Optimal Feature Selection using Fuzzy Combination of Feature Subset for Transcriptome Data. - Vikas Singh; Harsh Vardhan; Nishchal K. Verma; Yan Cui 001 (FUZZ-IEEE, 2018)

Web-Based Platform for Evaluation of Resilient and Transactive Smart-Grids. - Himanshu Neema; Harsh Vardhan; Carlos A. Barreto; Xenofon D. Koutsoukos (MSCPES@CPSIoTWeek, 2019)

Design and simulation platform for evaluation of grid distribution system and transactive energy. - Himanshu Neema; Harsh Vardhan; Carlos A. Barreto; Xenofon D. Koutsoukos (HotSoS, 2019)

Machine learning assisted propeller design. - Harsh Vardhan; Péter Völgyesi; Janos Sztipanovits (ICCPS, 2021)

Rare event failure test case generation in Learning-Enabled-Controllers. - Harsh Vardhan; Janos Sztipanovits (ICMLT, 2021)

A Review and Case Study on Android Malware: Threat Model, Attacks, Techniques and Tools. - Charu Negi; Preeti Mishra; Pooja Chaudhary; Harsh Vardhan (J. Cyber Secur. Mobil., 2021)

EXPPO: EXecution Performance Profiling and Optimization for CPS Co-simulation-as-a-Service. - Yogesh D. Barve; Himanshu Neema; Zhuangwei Kang; Harsh Vardhan; Hongyang Sun 001; Aniruddha Gokhale (J. Syst. Archit., 2021)

Prediction of thermal conductivity and damage in Indian Jalore granite for design of underground research laboratory. - A. K. Verma; Manish Kumar Jha; P. K. Gautam; Arun Kumar Mishra; Harsh Vardhan; Shashank Kumar Singh (Neural Comput. Appl., 2021)

Tackling benign nonconvexity with smoothing and stochastic gradients. - Harsh Vardhan; Sebastian U. Stich (CoRR, 2022)

ASTROMER: A transformer-based embedding for the representation of light curves. - Cristobal Donoso-Oliva; Ignacio Becker; Pavlos Protopapas; Guillermo Cabrera-Vives; Vishnu M.; Harsh Vardhan (CoRR, 2022)

Deep Learning-based FEA surrogate for sub-sea pressure vessel. - Harsh Vardhan; Janos Sztipanovits (CoRR, 2022)

Modeling and Optimization of a Longitudinally-Distributed Global Solar Grid. - Harsh Vardhan; Neal M. Sarkar; Himanshu Neema (CoRR, 2022)

Reduced Robust Random Cut Forest for Out-Of-Distribution detection in machine learning models. - Harsh Vardhan; Janos Sztipanovits (CoRR, 2022)

DeepAL for Regression Using ε-weighted Hybrid Query Strategy. - Harsh Vardhan; Janos Sztipanovits (CoRR, 2022)

An Improved Algorithm for Clustered Federated Learning. - Harsh Vardhan; Avishek Ghosh; Arya Mazumdar (CoRR, 2022)

Data efficient surrogate modeling for engineering design: Ensemble-free batch mode deep active learning for regression. - Harsh Vardhan; Umesh Timalsina; Péter Völgyesi; Janos Sztipanovits (CoRR, 2022)

Constrained Bayesian Optimization for Automatic Underwater Vehicle Hull Design. - Harsh Vardhan; Péter Völgyesi; Will Hedgecock; Janos Sztipanovits (CPS-IoT Week Workshops, 2023)

Async-HFL: Efficient and Robust Asynchronous Federated Learning in Hierarchical IoT Networks. - Xiaofan Yu 001; Lucy Cherkasova; Harsh Vardhan; Quanling Zhao; Emily Ekaireb; Xiyuan Zhang 001; Arya Mazumdar; Tajana Rosing (IoTDI, 2023)

Search for universal minimum drag resistance underwater vehicle hull using CFD. - Harsh Vardhan; Janos Sztipanovits (CoRR, 2023)

Constrained Bayesian Optimization for Automatic Underwater Vehicle Hull Design. - Harsh Vardhan; Péter Völgyesi; Janos Sztipanovits (CoRR, 2023)

Fusion of ML with numerical simulation for optimized propeller design. - Harsh Vardhan; Péter Völgyesi; Janos Sztipanovits (CoRR, 2023)

Sample-Efficient and Surrogate-Based Design Optimization of Underwater Vehicle Hulls. - Harsh Vardhan; David Hyde 001; Umesh Timalsina; Péter Völgyesi; Janos Sztipanovits (CoRR, 2023)

Stochastic Compositional Gradient Descent Under Compositional Constraints. - Srujan Teja Thomdapu; Harsh Vardhan; Ketan Rajawat (IEEE Trans. Signal Process., 2023)

Evolutionary study of distributed authentication protocols and its integration to UAV-assisted FANET. - Anshula Gupta; Anurag Barthwal; Harsh Vardhan; Shivani Kakria; Sumit Kumar; Ashish Singh Parihar (Multim. Tools Appl., 2023)

Anvil: An integration of artificial intelligence, sampling techniques, and a combined CAD-CFD tool. - Harsh Vardhan; Umesh Timalsina; Michael Sandborn; David Hyde 001; Péter Völgyesi; Janos Sztipanovits (CoRR, 2024)

Distributed Gradient Descent with Many Local Steps in Overparameterized Models. - Heng Zhu; Harsh Vardhan; Arya Mazumdar (CoRR, 2024)

An Improved Federated Clustering Algorithm with Model-based Clustering. - Harsh Vardhan; Avishek Ghosh; Arya Mazumdar (Trans. Mach. Learn. Res., 2024)

Autonomous Cybersecurity Testbed for Operational Technology Networks. - Akhilesh Raj; Sanjana Das; Harsh Vardhan; Himanshu Neema; Ajay Chhokra; Daniel Balasubramanian (DESTION@CPSIoTWeek, 2025)

Cyber security of OT networks: A tutorial and overview. - Sumit Kumar; Harsh Vardhan (CoRR, 2025)

Client Selection in Federated Learning with Data Heterogeneity and Network Latencies. - Harsh Vardhan; Xiaofan Yu 001; Tajana Rosing; Arya Mazumdar (CoRR, 2025)

Learning and Generalization with Mixture Data. - Harsh Vardhan; Avishek Ghosh; Arya Mazumdar (CoRR, 2025)

LocalKMeans: Convergence of Lloyd's Algorithm with Distributed Local Iterations. - Harsh Vardhan; Heng Zhu; Avishek Ghosh; Arya Mazumdar (CoRR, 2025)

Generative AI for CAD Automation: Leveraging Large Language Models for 3D Modelling. - Sumit Kumar; Sarthak Kapoor; Harsh Vardhan; Yao Zhao (CoRR, 2025)