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Mr. T Satheesh

Mr. T Satheesh

M.E.,(Ph.D)

Assistant Professor (Sl.Gr.)

Artificial Intelligence & Data Science
AICTE ID: 1-1416964413
satheesh.t@drngpit.ac.in
LinkedIn Vidwan

Biography

I am an Assistant Professor in Artificial Intelligence and Data Science with over 14 years of teaching experience in higher education. I earned my B.E. and M.E. degrees from Anna University, Chennai. I am passionate about teaching, research, and mentoring students in their academic and professional development. My goal is to create a positive and engaging learning environment that fosters innovation, critical thinking, and lifelong learning. I am committed to helping students acquire the knowledge and skills needed to excel in the rapidly evolving fields of Artificial Intelligence, Data Science, and Computing.

Academic Credentials

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Degree Specialization Institute University Year of Passing
M.E. Computer Science and Engineering (CSE) Mahendra Engineering College Anna University, Chennai 2012
B.E. Computer Science and Engineering (CSE) Nandha Engineering College Anna University, Chennai 2006

Academic & Professional Experience

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Experience / Role Type Organization Duration Total
Assistant Professor Teaching Dr. N.G.P. Institute of Technology Oct 2022 - Present 3 Years 9 Months
Assistant Professor Teaching RVS Technical Campus Aug 2021 - Aug 2022 1 Year 1 Month
Assistant Professor Teaching Tamilnadu College of Engineering Jun 2012 - Jul 2022 10 Years 2 Months

Areas of Expertise

Machine Learning Big Data Analytics Internet Programming Artificial Intelligence

Institutional Roles

Admission Coordinator

Departmental Roles

Department Branding Incharge II Year Advisor

Journal Publications

  1. Optimized machine learning for CHD detection using 3D CNN-based segmentation, transfer learning and adagrad optimization, arXiv preprint.
  2. Automatic Creation of Quality Images from Text using Multiple Generative Adversial Network, Procedia Computer Science.
  3. Lightweight residual graph augmented transformer for cassava leaf disease recognition using spectral directional features, Scientific Reports.
  4. Regulating AI in Public Services Local Governance Approaches to Emerging Technologies, Advances in Consumer Research.

National/International Conferences

  1. AI for smart agriculture–a deep learning based turmeric leaf disease detection, 9th International Conference on Communication and Electronics Systems
  2. Turmeric leaf disease detection using optimized deep learning model, IET Conference Proceedings
  3. Deep learning based automatic vehicle number plate recognition for vehicle authentication and intelligent security system, Third International Conference on Smart Technologies, Communication
  4. Ensemble CNN Architecture with Multi-Modal Disease Detection for Sustainable Banana Crop Management: An Integrated Mobile Framework, International Conference on Advancements in Electrical, Electronics
  5. Networked merchandise hub for agricultural products, International Conference on Advanced Computing and Communication
  6. A Graph-Attentive and Texture-Refined Lightweight Network for Robust Cassava Leaf Disease Recognition, International Conference on Electronics and Sustainable
  7. A Lightweight Transformer-Guided Model with Edge-Enhanced Preprocessing for Multi-Class Cassava Leaf Disease Detection, International Conference on Sustainable Computing and Smart Systems