Indira Bharathi | Network Security | Best Researcher Award

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Dr. Indira Bharathi | Network Security | Best Researcher Award

Assistant Professor at Vellore Institute of Technology, Chennai, India.

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.

Assist Prof Dr. Mahmood Hassan | Computer Networks Award | Best Researcher Award

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Assist Prof Dr. Mahmood Hassan | Computer Networks Award | Best Researcher Award

Assist Prof Dr. Mahmood Hassan, Najran University, Saudi Arabia

Dr. Mahmood Ul Hassan is a versatile professional with a rich academic background and extensive experience in academia and research. 🎓 Holding a PhD in Computer Science with a focus on Wireless Sensor Networks, he has demonstrated expertise in areas such as computer networks, research methodology, and artificial intelligence. With over a decade of teaching experience at various institutions, including Najran University and Jouf University, he has excelled in academic planning, quality management, and student welfare. As a prolific researcher, he has authored impactful theses and contributed to numerous workshops and conferences, showcasing his commitment to advancing the field. 💼 His skills span programming languages, web development, and database management, making him a well-rounded professional in the realm of technology.

Professional Profile:

Scopus

Orcid

🎓 Education:

  • PhD in Computer Science from IIC University of Technology, Cambodia
  • MS in Computer Science from COMSATS University, Pakistan
  • BS in Computer Science (Hons) from Hazara University, Pakistan

💼 Experience:

  • PhD Supervisor at IIC University of Technology, Cambodia
  • Assistant Professor at Quality Education Company, Najran University, Saudi Arabia
  • Head of Department at Jouf University, Saudi Arabia
  • Lecturer at Govt. College of Commerce & Management Sciences, Pakistan
  • Research Associate at COMSATS University, Pakistan

🏅 Professional Skills:

  • Courses: Computer Networks, Research Methodology, Operating Systems, Image Processing, Artificial Intelligence
  • Programming Languages: C/C++, Java, C#.NET, JSP, ASP.NET, JavaScript
  • Databases: Microsoft SQL Server, Oracle
  • Operating Systems: Windows, Linux

📚 Thesis and Projects:

  • PhD Thesis: Energy Efficient Techniques for Connectivity Restoration in Wireless Sensor Networks
  • MS (CS) Thesis: Object Recognition using Genetic Algorithm on Shape Descriptors
  • BCS (Hons) Thesis: Identification and Data Management of Suspicious Persons

Scopus Metrics:

  • 📝 Publications: 14 documents indexed in Scopus.
  • 📊 Citations: A total of 64 citations for his publications, reflecting the widespread impact and recognition of Dr. B. Sathiyabhama’s research within the academic community.

Publications Top Notes :

  1. BBSF: Blockchain-Based Secure Weather Forecasting Information through Routing Protocol in Vanet
    • Published in Sensors, 2023, 23(11), 5259.
    • Cited by 4 articles.
  2. An efficient dynamic decision-based task optimization and scheduling approach for microservice-based cost management in mobile cloud computing applications
    • Published in Pervasive and Mobile Computing, 2023, 92, 101785.
    • Cited by 9 articles.
  3. A CNN-Model to Classify Low-Grade and High-Grade Glioma From MRI Images
    • Published in IEEE Access, 2023, 11, pp. 46283–46296.
    • Cited by 6 articles.
  4. A Novel RGB Image Obfuscation Technique Using Dynamically Generated All Order-4 Magic Squares
    • Published in IEEE Access, 2023, 11, pp. 46382–46398.
    • Cited by 1 article.
  5. Improved-Equalized Cluster Head Election Routing Protocol for Wireless Sensor Networks
    • Published in Computer Systems Science and Engineering, 2022, 44(1), pp. 845–858.
    • Cited by 3 articles.