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Harsh Vardhan
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2020 – today
- 2024
- [j7]Harsh Vardhan, Avishek Ghosh, Arya Mazumdar:
An Improved Federated Clustering Algorithm with Model-based Clustering. Trans. Mach. Learn. Res. 2024 (2024) - [i16]Harsh Vardhan, Umesh Timalsina, Michael Sandborn, David Hyde, Péter Völgyesi, Janos Sztipanovits:
Anvil: An integration of artificial intelligence, sampling techniques, and a combined CAD-CFD tool. CoRR abs/2407.02519 (2024) - 2023
- [j6]Anshula Gupta, Anurag Barthwal
, Harsh Vardhan, Shivani Kakria, Sumit Kumar
Evolutionary study of distributed authentication protocols and its integration to UAV-assisted FANET. Multim. Tools Appl. 82(27): 42311-42330 (2023) - [j5]Srujan Teja Thomdapu
Stochastic Compositional Gradient Descent Under Compositional Constraints. IEEE Trans. Signal Process. 71: 1115-1127 (2023) - [c8]Harsh Vardhan
Constrained Bayesian Optimization for Automatic Underwater Vehicle Hull Design. CPS-IoT Week Workshops 2023: 116-121 - [c7]Xiaofan Yu
Async-HFL: Efficient and Robust Asynchronous Federated Learning in Hierarchical IoT Networks. IoTDI 2023: 236-248 - [i15]Xiaofan Yu, Ludmila Cherkasova, Harsh Vardhan, Quanling Zhao, Emily Ekaireb, Xiyuan Zhang, Arya Mazumdar, Tajana Rosing:
Async-HFL: Efficient and Robust Asynchronous Federated Learning in Hierarchical IoT Networks. CoRR abs/2301.06646 (2023) - [i14]Harsh Vardhan, Janos Sztipanovits:
Search for universal minimum drag resistance underwater vehicle hull using CFD. CoRR abs/2302.09441 (2023) - [i13]Harsh Vardhan, Péter Völgyesi, Janos Sztipanovits:
Constrained Bayesian Optimization for Automatic Underwater Vehicle Hull Design. CoRR abs/2302.14732 (2023) - [i12]Harsh Vardhan, Péter Völgyesi, Janos Sztipanovits:
Fusion of ML with numerical simulation for optimized propeller design. CoRR abs/2302.14740 (2023) - [i11]Harsh Vardhan, David Hyde, Umesh Timalsina
Sample-Efficient and Surrogate-Based Design Optimization of Underwater Vehicle Hulls. CoRR abs/2304.12420 (2023) - 2022
- [i10]Harsh Vardhan, Sebastian U. Stich:
Tackling benign nonconvexity with smoothing and stochastic gradients. CoRR abs/2202.09052 (2022) - [i9]C. Donoso-Oliva, I. Becker, Pavlos Protopapas, Guillermo Cabrera-Vives
ASTROMER: A transformer-based embedding for the representation of light curves. CoRR abs/2205.01677 (2022) - [i8]Harsh Vardhan, Janos Sztipanovits:
Deep Learning-based FEA surrogate for sub-sea pressure vessel. CoRR abs/2206.03322 (2022) - [i7]Harsh Vardhan, Janos Sztipanovits:
Rare event failure test case generation in Learning-Enabled-Controllers. CoRR abs/2206.05533 (2022) - [i6]Himanshu Neema, Harsh Vardhan, Carlos A. Barreto, Xenofon D. Koutsoukos:
Web-Based Platform for Evaluation of Resilient and Transactive Smart-Grids. CoRR abs/2206.05550 (2022) - [i5]Harsh Vardhan, Neal M. Sarkar, Himanshu Neema:
Modeling and Optimization of a Longitudinally-Distributed Global Solar Grid. CoRR abs/2206.05584 (2022) - [i4]Harsh Vardhan, Janos Sztipanovits:
Reduced Robust Random Cut Forest for Out-Of-Distribution detection in machine learning models. CoRR abs/2206.09247 (2022) - [i3]Harsh Vardhan, Janos Sztipanovits:
DeepAL for Regression Using ε-weighted Hybrid Query Strategy. CoRR abs/2206.13298 (2022) - [i2]Harsh Vardhan, Avishek Ghosh, Arya Mazumdar:
An Improved Algorithm for Clustered Federated Learning. CoRR abs/2210.11538 (2022) - [i1]Harsh Vardhan, Umesh Timalsina
Data efficient surrogate modeling for engineering design: Ensemble-free batch mode deep active learning for regression. CoRR abs/2211.10360 (2022) - 2021
- [j4]Charu Negi, Preeti Mishra, Pooja Chaudhary, Harsh Vardhan:
A Review and Case Study on Android Malware: Threat Model, Attacks, Techniques and Tools. J. Cyber Secur. Mobil. 10(1): 231-260 (2021) - [j3]Yogesh D. Barve, Himanshu Neema
EXPPO: EXecution Performance Profiling and Optimization for CPS Co-simulation-as-a-Service. J. Syst. Archit. 118: 102189 (2021) - [j2]A. K. Verma, Manish Kumar Jha, P. K. Gautam, Arun Kumar Mishra, Harsh Vardhan, Shashank Kumar Singh:
Prediction of thermal conductivity and damage in Indian Jalore granite for design of underground research laboratory. Neural Comput. Appl. 33(20): 13183-13192 (2021) - [c6]Harsh Vardhan
Machine learning assisted propeller design. ICCPS 2021: 227-228 - [c5]Harsh Vardhan
Rare event failure test case generation in Learning-Enabled-Controllers. ICMLT 2021: 34-40
2010 – 2019
- 2019
- [c4]Himanshu Neema, Harsh Vardhan
Web-Based Platform for Evaluation of Resilient and Transactive Smart-Grids. MSCPES@CPSIoTWeek 2019: 1-6 - [c3]Himanshu Neema, Harsh Vardhan
Design and simulation platform for evaluation of grid distribution system and transactive energy. HotSoS 2019: 15:1-15:2 - 2018
- [c2]Vikas Singh, Harsh Vardhan, Nishchal K. Verma, Yan Cui
Optimal Feature Selection using Fuzzy Combination of Feature Subset for Transcriptome Data. FUZZ-IEEE 2018: 1-8 - 2010
- [j1]Y. K. Lee, Chin K. Lim, Hamid Ghazialam, Harsh Vardhan, Erling Eklund:
Surface mesh generation for dirty geometries by the Cartesian shrink-wrapping technique. Eng. Comput. 26(4): 377-390 (2010)
2000 – 2009
- 2006
- [c1]Y. K. Lee, Chin K. Lim, Hamid Ghazialam, Harsh Vardhan, Erling Eklund:
Surface Mesh Generation for Dirty Geometries by Shrink Wrapping using Cartesian Grid Approach. IMR 2006: 393-410
Coauthor Index
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last updated on 2024-10-07 21:21 CEST by the dblp team
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