Computer Science · Ph.D.
V. Anusha SowbarnikaAnusha Veluswamy
Assistant Professor of Computer Science
Department of Mathematics & Computer Science, Susquehanna University, Pennsylvania
I study how to keep networks secure and efficient, from battery-powered wireless sensor networks to enterprise traffic, using optimization, graph methods, and machine learning. I teach core computer science courses and mentor undergraduate researchers.
Secure, energy-aware networks and applied machine learning
My doctoral work at Anna University focused on protecting wireless sensor networks without draining their batteries. At Susquehanna I extend that thread to network intrusion detection and bring students into projects that apply machine learning to real data.
Trust-aware, energy-efficient routing
Clustering, cluster-head selection, and metaheuristic optimization (genetic algorithms, ACO, two-tier schemes) that extend network lifetime while resisting attacks such as node replication.
Graph-based threat detection
Unsupervised detection of network threats using spectral graph theory, change-point detection, and community structure, evaluated on CICIDS2017. Also deep models (BERT + LSTM) for real-time cyberattack detection.
Deep learning for critical systems
Smart-grid communication security, maternal health risk prediction, sentiment analysis, and rainfall prediction in data-scarce regions using transfer learning.
Bird migration from sound
Classifying bird species and migration patterns in the Susquehanna River Valley from passive acoustic recordings and citizen-science data, through the SusqBirdNet platform.
Selected publications
- 2026
A Deep Learning Framework for Real-Time Cyberattack Detection Using BERT and LSTM
A. S. Veluswamy. 3rd Intl. Conf. RMKMATE, Chennai, India. doi:10.1109/RMKMATE69073.2026.11518892
- 2026
Trust aware secure energy-efficient routing protocol for clustered WSN using two-tier optimization algorithm
A. Sowbarnika Veluswamy. PeerJ Computer Science 12:e3676. doi:10.7717/peerj-cs.3676
- 2025
Modeling of metaheuristic-based dual cluster head selection with routing protocol for energy-efficient WSN
M. Krishna Reddy, A. S. Veluswamy, et al. Soft Computing, 29, 2999–3020.
- 2025
Detection of Node Replication Attacks Using Clustering and Ensemble Methods in WSN
V. Anusha Sowbarnika, R. Lokeshkumar, et al. NICE-TEAS 2025, WSG University, Poland.
- 2025
Unveiling Deep Learning Techniques for Maternal Health Risk Prediction
G. S. Navin Raghav, V. Anusha Sowbarnika, et al. IEEE ICNGCS 2025. doi:10.1109/ICNGCS64900.2025.11183089
- 2025
Natural Language Processing for Sentiment Analysis in Social Media: Techniques and Case Studies
A. Veluswamy, et al. ITM Web of Conferences 76, 05004. doi:10.1051/itmconf/20257605004
- 2024
Improving Security and Communication Protocols in Smart Grid using Deep Learning to Ensure Data Privacy
V. Anusha Sowbarnika, et al. ICOFE-2024. doi:10.2139/ssrn.5075191
- 2023
Security-based Optimization Algorithm for Enhancing Energy Efficiency of WSN
V. Anusha Sowbarnika, M. Balasubramani, K. Kavitha. International Journal of Communication Systems, Wiley.
- 2020
Enhancing Security and Energy Efficiency via Grid-Based Adversarial Clustering and ACO in WSN
V. Anusha Sowbarnika, et al. Intl. Journal of Advanced Science & Technology, 29(3), 11750–11759.
- 2019
Curtailing Energy Consumption of WSN by Genetic Algorithm
V. Anusha Sowbarnika, M. Balasubramani, N. Varatharajan. Intl. Journal of Analytical and Experimental Modal Analysis, XI(XI), 2260–2271.
- 2017
Evaluating the Effects of Cryptographic Algorithms on Different Sets of Data
V. Anusha Sowbarnika, et al. SSRG Intl. Journal of CSE, ICET'17 Special Issue.
- 2014
GPU Acceleration Using CUDA Framework
P. P. Nambiar, V. Saveetha, V. Anusha Sowbarnika. IJIRCCE, 2, 200–205.
- 2014
Twitter Based Earthquake Alert System
R. Anitha, S. Selvakumar, V. Anusha Sowbarnika, N. Varatharajan. IJIRCCE, 2, 85–88.
- 2013
Clustering on GPU: A Brief Survey
V. Saveetha, S. Sophia, V. Anusha Sowbarnika. RJCSE, 04.
Plus 16 conference presentations in India, Poland, and online. Full list on Google Scholar.
Courses at Susquehanna
My classes use active learning, collaborative problem-solving, and hands-on labs built around current industry practice. Over more than eight years in the classroom, in India and the U.S., I have also taught cryptography and network security, cyber forensics, object-oriented programming, information theory, and computer graphics. I helped frame Susquehanna's Cybersecurity minor and lead the department's Coding Club.
Students interested in research in network security, machine learning, or bioacoustics are welcome to reach out.
Academic positions and education
- 2023 – now
Assistant Professor, Susquehanna University
Dept. of Mathematics & Computer Science, Selinsgrove, Pennsylvania
- 2012 – 2017
Assistant Professor, Info Institute of Engineering
Kovilpalayam, Tamil Nadu. Founded a campus speaker forum connecting students with industry and research.
- 2011 – 2012
Assistant Professor, GKM College of Engineering & Technology
Chennai, India
- 2024
Ph.D., Information & Communication Engineering
Anna University
- 2011
M.E., Computer Science & Engineering
Karpagam University
- 2009
B.E., Information Technology
Avinashilingam University
Awards, patents, books, and service
Awards
- Global Research Excellence AwardNexus Synergy Awards 2025, NICE-TEAS, Poland
- Young Professor AwardComputer Science, Scientific Laurels
- Senior Member, IEEE
Patents & books
- Indian Patent No. 202441004209February 2024
- Indian Patent No. 202341061619October 2023
- Machine LearningBook, 2025
- Architecture of Complex NetworksBook, 2025
Service
- ReviewerIEEE Internet of Things Journal; Intl. J. Communication Systems; Global NEST Journal; American J. Computer Science
- University AI Steering CommitteeAcademic Integration workstream
- Faculty lead, Coding Club
Get in touch
For research collaboration, student projects, speaking, or reviewing, send me a message here and I'll reply by email.
Susquehanna University, Selinsgrove, PA