Ramadoss Balakrishnan
National Institute of Technology Tiruchirappalli
Research areas: Computer Science · Artificial Intelligence · Radiomics and Machine Learning in Medical Imaging · Image Retrieval and Classification Techniques · AI in cancer detection
About
Dr. (Mr.) B. Ramadoss received the M.Tech degree in Computer science and Engineering in 1995 from the Indian
Institute of Technology, Delhi and the Ph.D. degree in Applied Mathematics in 1983 from Indian Institute of Technology,
Bombay. Currently, he is working as a Professor (HAG) Computer Applications at National Institute of Technology,
Tiruchirappalli. He has 30 + years of teaching & research experience.
Under his guidance, 13 have successfully completed Ph.D. programme. He has 100+ research publications with
49 reputed journals indexed in SCI/SCIE/Scopus and 55 reputed conferences. His research interests include
Security and Privacy in Big Data and Cloud, Software Testing; Information Retrieval. He is a recipient of Best Teacher
(Computer Applications) Award at National Institute of Technology, Tiruchirappalli, India during 2006-2007.
He served as Board of Studies Member in many reputed Universities/Institutions in India. He served as
Member-Academic Council, Anna University, Chennai during 2015-'17. He has visited US (2006 & 2016); Singapore
(2013); Thailand (2008) and Sharjah (on a teaching assignment during 1997-2000). He is a Senior Member of IEEE, Life
Member (LM) of ISTE, New Delhi, Life Member (LM), and Computer Society of India.
Employment
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National Institute of Technology Tiruchirappalli Professor (HAG) - Retd.
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (53)
- Generative Segment-pose Representation based Augmentation (GSRA) for unsupervised person re-identification Save
- Pneumonia Detection in Chest X-Rays using Transfer Learning and TPUs Save
- SERPYTOR: A DISTRIBUTED CONTEXT-AWARE COMPUTATIONAL GRAPH EXECUTION FRAMEWORK FOR DURABLE EXECUTION Save
- A SURVEY ON BIG DATA: INFRASTRUCTURE, ANALYTICS, VISUALIZATION AND APPLICATIONS Save
- A Statistical-Based Light-Weight Anomaly Detection Framework for Wireless Body Area Networks Save
- Deep Learning Techniques for COVID-19 Pandemic: Application of Transfer Learning in Deep Networks Save
- Deep Residual Network and Transfer Learning-based Person Re-Identification Save
- Spatio-Temporal association rule based deep annotation-free clustering (STAR-DAC) for unsupervised person re-identification Save
- A precise sensor fault detection technique using statistical techniques for wireless body area networks Save
- Ensemble human movement sequence prediction model with Apriori based Probability Tree Classifier (APTC) and Bagged J48 on Machine learning Save
- Spatial segment-aware clustering based dynamic reliability threshold determination (SSC-DRTD) for unsupervised person re-identification Save
- An Efficient File Hierarchy Attribute Based Encryption Using Optimized Tate Pairing Construction in Cloud Environment Save
- Customized reputation generation of entities using sentiment analysis Save
- Deep manifold clustering based optimal pseudo pose representation (DMC-OPPR) for unsupervised person re-identification Save
- Deep self-attention network for facial emotion recognition Save
- Parallel machine learning and deep learning approaches for internet of medical things (IoMT) Save
- Secure Information Transmission Framework in Wireless Body Area Networks Save
- Vehicle re-identification using relative entropy representation and gated recurrent unit networks Save
- Anomaly Detection Using Dynamic Sliding Window in Wireless Body Area Networks Save
- Automated modeling of real real-time anomaly detection using non -parametric statistical technique for data streams in cloud environments Save