Hi, I’m Vishnu!

News

• 2025: Paper accepted at IEEE NAECON on parallel k-means acceleration.
• 2025: Paper accepted at IEEE MWSCAS on ML-driven beamforming.
• 2025: Serving as reviewer for IEEE MWSCAS, NAECON, SATC, and ACDSA.
• 2025: Awarded Graduate Research Fellowship, Wright State University.
• 2024–2025: Research supported by U.S. Air Force ADMETE Program.

Publications

Journal Articles

• Hardware-aware federated learning: Optimizing differential privacy in distributed architectures. Electronics, 2025.
• Secure network segmentation in IIoT environments. Computing & AI Connect, 2024.
• Machine learning for polysiloxane-based polymer prediction. ACS Omega, 2025.

Conference Proceedings

• Multi-core acceleration of k-means. IEEE NAECON, 2025 — Parallel clustering for high-dimensional data.
• ML-driven optimization of adaptive beamforming. IEEE MWSCAS, 2025.
• Adaptive ensemble learning for fraud detection. IEEE SATC, 2025.
• Adaptive exon prediction using MN-LMF algorithms. Springer, 2022.

About Me

I am a Ph.D. student in Computer Science at Wright State University, Dayton, Ohio. I am co-advised by Prof. Nella Ludlow and Prof. Fathi Amsaad.

I received my M.S. in Computer Science from Wright State University (2023), where my thesis focused on unsupervised and distributed machine learning for efficient data clustering and prediction under Prof. Fathi Amsaad.

I earned my B.Tech. in Electronics and Communication Engineering from KL University, India (2021), where I worked on adaptive exon prediction algorithms under Prof. Md. Zia Ur Rahman.

Research Interests

• Quantum Machine Learning
• High-Dimensional Clustering
• Distributed & Parallel Optimization
• Computational Genomics