Ramanathan Lakshmanan
Vellore Institute of Technology University, DMI College of Engineering, VIT University, Sathyabama University, Kings College of Engineering, Anjalai Ammal Mahalingam Engineering College
0000-0002-1532-5495
About
Ramanathan L is a seasoned academician with over 18 years of teaching experience. He holds a Ph.D. in Computer Science and Engineering from VIT University, Vellore, India, an M.E. in Computer Science from Sathyabama University, Chennai, India, and a B.E. in Computer Science & Engineering from Bharathidasan University, Tiruchirappalli, India. Currently, he serves as a Professor at VIT University, Vellore, India. His research expertise spans Data Science, Cyber-Physical Systems, Fog and Edge Computing, Cloud Computing, Virtualization,Big Data Classification, IoT and AI&ML. With a strong publication record in international journals and conferences, Ramanathan is also an editorial board member and reviewer for several prominent journals and conferences.His ongoing research focuses on predictive analytics, classification, Clustering and Optimizations. He is an active member of professional bodies like IACSIT, CSI, ACM, IEEE (WIE), and ACEEE, and holds key positions as Associate Editor for the Journal of Network: Computation in Neural Systems and Editorial Advisory Board Member for the Journal of Integrated Science and Technology.
Employment
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Vellore Institute of Technology University Professor2024 - Present
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DMI College of Engineering Lecturer2006 - 2007
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Kings College of Engineering Lecturer2003 - 2004
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GGR College of Engineering Lecturer2003 - 2003
Education
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VIT University Ph.D2009 - 2018
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Sathyabama University M.E2004 - 2006
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Anjalai Ammal Mahalingam Engineering College B.E1997 - 2001
Projects & Funding
Projects & funding information is unavailable.
Publications (102)
- A hybrid deep learning framework: Dense shuffle attention and forward harmonic networks for multiple sclerosis detection Save
- Rfid-Based School Entry-Exit Monitoring System With Gsm Notification And Real-Time Clock Save
- Smart Helmet System For Alcohol Detection, Drowsiness Monitoring, And Wear Detection Save
- Artificial Intelligence for Energy-Efficient and Sustainable Smart Grids Save
- Enhancing Anomaly Detection in IoT Systems with an Ensemble of Machine Learning Algorithms Save
- Histopathological Deep Learning: Exploring Ovarian Cancer Subtypes with Image Analysis Save
- AI-Assisted Crop Management Using the LSTM Model in Smart Farming Save
- A Novel Approach to use Deep Dyna Q Learning for Enhancing Selection and Performace of Encryption and Hashing Techniques in Remote Healthcare Environment Save
- AI-assisted crop management using the LSTM model in smart farming Save
- An Enhanced Multifactor Authenticator Built Using Facial and Voice Biometrics Save