B. Meenakshi Sundaram | Computational Mathematics | Best Researcher Award

Dr. B. Meenakshi Sundaram | Computational Mathematics | Best Researcher Award

Professor at T. John Group of Institutions India

Prof. Dr. B. Meenakshi Sundaram is a distinguished academician and researcher with over 25 years of experience in teaching, research, and administration across India and the UAE. He has made significant contributions to computer science, specializing in machine learning, IoT, cloud security, and semantic web mining. With 25+ publications in SCOPUS and IEEE-indexed journals and presentations at 20+ international awards, his research has garnered global recognition. He actively supervises PhD scholars and has mentored over 100 undergraduate and postgraduate research projects. As a curriculum developer, he has aligned academic programs with national and international standards. He holds key research identifiers, including a Scopus ID and an h-index of 4. His expertise extends to industry collaborations, technical writing, and consultancy services. While enhancing high-impact research and funded projects could further strengthen his profile, his vast academic and research contributions make him a strong contender for the Best Researcher Award.

Professional Profile:

Google Scholar
ORCID Profile 

Education:

Prof. Dr. B. Meenakshi Sundaram holds a Ph.D. in Computer Science from Bharathiar University, Coimbatore (2017), showcasing his expertise in advanced computing research. He earned his M.Tech in Information Technology (2009) from Manonmaniam Sundaranar University, securing First Class with Distinction. His academic journey began with a B.Sc. in Physics with Electronics (1996) and an M.Sc. in Computer Science (1998), both from Madurai Kamaraj University, where he excelled with distinction. Additionally, he pursued an M.Phil in Computer Science (2006) to deepen his research acumen. Beyond formal degrees, he has completed specialized professional certifications, including NPTEL courses from IIT Kharagpur and IIT Madras, as well as industry-relevant training from Infosys, Wipro, and IBM. His diverse educational background, spanning core science, engineering, and computing disciplines, has enabled him to make significant contributions to academia, research, and curriculum development at both national and international levels.

Professional Experience:

Prof. Dr. B. Meenakshi Sundaram has over 25 years of extensive experience in teaching, research, and academic administration across India and the UAE. He has served as a Professor, Associate Professor, Academic Program Manager, and Exam Controller at prestigious institutions, including New Horizon College of Engineering, Karunya University, and Syscoms College, Abu Dhabi. His expertise lies in curriculum development, faculty enrichment, industry-academic collaboration, and research supervision. He has played a key role in designing and aligning Bachelors and Masters programs with national and international accreditation standards. As a researcher, he has supervised PhD scholars, guided 100+ postgraduate and undergraduate research projects, and published 25+ research papers in SCOPUS and IEEE-indexed journals. He has also been actively involved in consultancy services, technical writing, and faculty training programs. With a strong commitment to academic excellence, he continues to contribute to cutting-edge research in computer science, artificial intelligence, and cloud computing.

Research Interest:

Prof. Dr. B. Meenakshi Sundaram’s research interests encompass a wide range of cutting-edge areas in computer science, artificial intelligence, and cybersecurity. His work primarily focuses on semantic web mining, machine learning, IoT, cloud security, and data analytics, addressing critical challenges in intelligent systems and computational frameworks. He has made significant contributions to ontology-based information retrieval, cloud integration, and security frameworks, with an emphasis on developing efficient and scalable solutions for real-world applications. His research also extends to imbalanced data classification, deep learning, and digital innovation in education, exploring novel methodologies to enhance computational intelligence and cybersecurity mechanisms. With a strong commitment to interdisciplinary research, he actively engages in AI-driven enterprise security, intelligent decision-making systems, and web service optimizations, aiming to bridge the gap between academia and industry. His research efforts contribute to advancing smart computing, digital transformation, and next-generation AI technologies.

Award and Honor:

Prof. Dr. B. Meenakshi Sundaram is a distinguished academician and researcher with a remarkable career spanning over 25 years in teaching, research, and administration. His contributions to computer science, particularly in machine learning, IoT, cloud security, and semantic web mining, have earned him recognition in national and international forums. He has published 25+ research papers in reputed SCOPUS and IEEE-indexed journals, presented at 20+ awards, and actively mentors PhD scholars and postgraduate students. As a professional member of IEEE and Institution of Engineers (India), he has contributed to global research collaborations and curriculum development initiatives. He has received certifications from IIT Madras, IIT Kharagpur, and other reputed institutions, further showcasing his dedication to academic excellence. His significant contributions to academia, research supervision, and international collaborations make him a highly deserving candidate for prestigious awards in research and innovation.

Conclusion:

Prof. Dr. B. Meenakshi Sundaram is a distinguished academician and researcher with 25 years of experience in teaching, research, and administration. His extensive contributions to computer science, particularly in semantic web mining, IoT, and cloud security, are reflected in his 25+ publications in reputed journals, including SCOPUS and IEEE-indexed papers. As a mentor, he has guided numerous research scholars and postgraduate students, fostering academic excellence. His involvement in curriculum development, international collaborations, and industry-academia partnerships further solidifies his impact on higher education. While his research credentials are strong, expanding high-impact publications, securing funded projects, and increasing citation metrics can enhance his global research standing. Nevertheless, his academic leadership, interdisciplinary research, and commitment to knowledge dissemination make him a highly deserving candidate for the Best Researcher Award. His dedication to innovation and scholarly excellence continues to shape the future of computing and technology-driven education.

Publications Top Noted:

  • Face recognition based automated remote proctoring platform
    • Authors: N Sasikala, BM Sundaram, VN Kumar, J Sumanth, S Hrithik
    • Year: 2022
    • Citations: 7
  • Survey of latest technologies on Decentralized applications using Blockchain
    • Authors: N Sasikala, BM Sundaram, S Biswas, AS Nikhil, VS Rohith
    • Year: 2022
    • Citations: 6
  • Disaster relief compensation computational framework
    • Authors: BM Sundaram, B Rajalakshmi, BA Singh, RS Kumar, R Arsha
    • Year: 2022
    • Citations: 6
  • More Accurate Organ Recipient Identification Using Survey Informatics of New Age Technologies
    • Authors: BM Sundaram
    • Year: 2021
    • Citations: 6
  • Fall detection among elderly using deep learning
    • Authors: BM Sundaram, B Rajalakshmi, RK Mandal, S Nair, SS Choudhary
    • Year: 2023
    • Citations: 4
  • An Analysis on Security Threats in Cloud Computing
    • Authors: AP Nirmala, R Prema, BM Sundaram
    • Year: 2019
    • Citations: 4
  • A Roadmap to Application Integration using IoT Cloud Platform
    • Authors: DT Dr. BM Sundaram
    • Year: 2020
    • Citations: 3
  • Cross Domain Composition of Web Service Workflows using a Provenance Ontology with an automated Re-planning
    • Authors: BM Sundaram, D Manimegalai
    • Year: 2015
    • Citations: 3
  • Semantic Interoperable EHR mapping with syndromic surveillance to anticipate regional outbreak
    • Authors: BM Sundaram
    • Year: 2020
    • Citations: 2
  • Fuzzy-XDDS: A Fuzzy Based Cross-Domain Services Matchmaker for Semantic Web Services
    • Authors: BM Sundaram, D Manimegalai
    • Year: 2015
    • Citations: 2
  • AirGuard AI: Revolutionizing Air Cargo Inspection through Pygame and YOLOv8 Simulation
    • Authors: BM Sundaram, B Rajalakshmi, A Saxena, B Vasumati
    • Year: 2024
    • Citations: 1
  • Deep learning implemented communication system for the auditory and verbally challenged
    • Authors: B Chempavathy, BM Sundaram, A Shaynam, A Goswami, S Bindya
    • Year: 2023
    • Citations: 1
  • Malware Exposed: An In-Depth Analysis of its Behavior and Threats
    • Authors: C Anand, S Korada, S Raksha, BM Sundaram, B Rajalakshmi
    • Year: 2023
    • Citations: 1
  • Modeling crime prediction using ML
    • Authors: BM Sundaram, B Rajalakshmi, B Anusha, MK Bindu, BL Keerthi
    • Year: 2022
    • Citations: 1
  • Cardiovascular disease detection using machine learning-a survey
    • Authors: BM Sundaram, B Rajalakshmi, Eshwar, Tanith, L Emmanuel
    • Year: 2022
    • Citations: 1
  • A holistic redesign of web elements using CATWOE analysis
    • Authors: R Jayakumar, BM Sundaram, MA Sankaridevi
    • Year: 2019
    • Citations: 1
  • Dual Tree Complex Wavelet based Regularized Deconvolution for Medical Images
    • Authors: R Murugesan, V Thavavel, BM Sundaram
    • Year: 2007
    • Citations: 1
  • Smart City Traffic Management
    • Authors: BM Sundaram, JG Chowdary, R Gonela, B Rajalakshmi
    • Year: 2024
    • Citations: 1
  • Retinal Authentication for E-Voting
    • Authors: LS Hanne, BM Sundaram, M Rakshitha, V Kishore, A Meenakshi
    • Year: 2024
    • Citations: 1
  • DRS-UNET: A Deep Learning Approach for Diabetic Retinopathy Detection and Segmentation from Fundus Images
    • Authors: RS Gound, BM Sundaram, SK BV, PA Azmat, MNU Habib, A Garg
    • Year: 2023
    • Citations: 1