Dr. Indira Bharathi is an accomplished academic and researcher in the field of Information and Communication Engineering, with expertise in computer networks, wireless sensor networks (WSNs), and machine learning. She completed her Ph.D. from Anna University, Chennai in 2020, with a focus on optimizing packet classification in software-defined networks. With over a decade of teaching experience and a growing portfolio of high-impact research publications, she currently serves as Assistant Professor at Vellore Institute of Technology, Chennai. Her contributions span AI-driven networking protocols, security in WSNs, and smart systems innovation.

Professional Profile

Scopus

Orcid

Education 🎓📚

• Ph.D. in Information and Communication Engineering, Anna University, Chennai (2020)
  Thesis: Development of Improved Packet Classification System in Software Defined Network
  Advisor: Dr. K. Valarmathi

• M.Tech. in Computer Science and Engineering, Kalasalingam University (2011)
  First Class with Distinction | University Rank Holder

• M.Sc. (Integrated Engg.) in Computer Science and Engineering, Annamalai University (2009)
  First Class with Distinction | Gold Medalist

Professional Experience 🧑‍🏫💼

• Assistant Professor, Vellore Institute of Technology, Chennai (2023–Present)

• Assistant Professor, Amrita Vishwa Vidyapeetham, Tamil Nadu (2022–2023)

• Assistant Professor, P.S.R. Engineering College (2013–2016, 2020–2022)

• Assistant Professor, Kalasalingam University (2011–2012)

In addition to her academic roles, Dr. Bharathi received a seed research grant from VIT for developing a next-gen smart sanitary pad vending machine, showcasing her alignment with women-centric innovation and social impact.

Research Interest 🔬📈

• Computer Networks and Protocol Optimization

• Wireless Sensor Networks (WSNs)

• Packet Classification in SDN

• Machine Learning & Deep Learning

• Secure Data Dissemination

• Smart System Design for Societal Applications

Publications Top Noted

CTLA: Compressed Table Lookup Algorithm for Open Flow Switch
Journal: IEEE Open Journal of the Computer Society
DOI: 10.1109/OJCS.2024.3361710
Indexed in: Scopus
Co-authors: Sonai, V.; Bharathi, I.; Uchimucthu, M.; Sountharrajan, S.; Bavirisetti, D.P.
Highlights: Presents a compressed lookup technique to optimize flow-table access in SDN switches.

Packet Classification Using Improved Random Forest Algorithm
Book Chapter: Signals and Communication Technology
DOI: 10.1007/978-3-031-47942-7_14
Indexed in: Scopus
Co-authors: Sonai, V.; Bharathi, I.
Highlights: Enhances classification speed and accuracy in SDN environments through optimized ML algorithms.

A Machine Learning Perspective of Optimal Data Transmission in Wireless Sensor Networks (WSN)
Book Chapter: Signals and Communication Technology
DOI: 10.1007/978-3-031-47942-7_15
Indexed in: Scopus
Co-authors: Sonai, V.; Bharathi, I.; Uchimuthu, M.
Highlights: Investigates data transmission efficiency using ML models in sensor networks.

A Simple Algorithm to Secure Data Dissemination in Wireless Sensor Network
Conference Paper: Lecture Notes in Networks and Systems
DOI: 10.1007/978-981-99-8129-8_1
Indexed in: Scopus
Co-authors: Sonai, V.; Bharathi, I.
Highlights: Introduces a lightweight algorithm for secure data propagation in WSN.

Machine Learning Models for Alzheimer’s Disease Detection
Book Chapter: Published by IGI Global
DOI: 10.4018/979-8-3693-3605-2.ch019
Indexed in: CrossRef
Co-authors: Indira Bharathi; M. Swarnasudha; S. Manjula; Gethzi Ahila Poornima I.
Highlights: Applies ML algorithms to biomedical data for early Alzheimer’s prediction.

Conclusion 🌟🎯

Dr. Indira Bharathi exemplifies a dynamic and impactful early-career researcher in network security and intelligent systems, with strong potential for long-term contributions to secure networking, AI-driven communication frameworks, and public-interest technology. Her blend of teaching excellence, technical research, and social innovation makes her a highly suitable nominee for the Best Researcher Award.