RAJAT AMAT
About
Rajat Amat is an adept researcher specializing in digital image processing, and AI/ML. His expertise extends to embedded systems, with a particular passion for IoT-based projects. Presently, he is engaged in a significant endeavor titled "Autonomous Underwater Vehicle for Real-Time Monitoring and Intelligent Surveillance" at the Technology and Innovation Hub (TIH) within the IIT Guwahati Technology Innovation and Development Foundation (TIDF). In this project, Rajat is focused on leveraging his knowledge and skills to develop cutting-edge solutions for underwater robotics.
Over the course of his career, Rajat has made notable contributions to the field, evidenced by his numerous conference papers and journal publications. His research spans a diverse range of domains, including agricultural image processing and machine learning algorithms. Through his work, Rajat consistently aims to push the boundaries of technology, seeking innovative solutions to real-world challenges.
" I am passionate about my work. Because I love what I do, I have a steady source of motivation that drives me to do my best."
Education
Conference Attended:
Fifth International Conference on Material Science and Manufacturing Technology 2023 (ICMSMT 2023) , Akshaya College of Engineering and Technology, Coimbatore, Tamilnadu, India
IEEE International Conference on Sustainable Computing and Smart System (ICSCSS 2023), Hindustan College of Engineering and Technology, Coimbatore, India
Fifth International Conference on Sustainable and Innovative Solutions for Current Challenges in Engineering and Technology (ICSISCET 2023), Madhav Institute of Technology & Science, Gwalior (M.P.), India
IEEE International Conference on Innovative Mechanisms for Industry Applications (ICIMIA 2023), Dayanand Sagar College of Engineering, Bengaluru, India
IEEE International Conference on Advances in Electrical, Computing, Communications and Sustainable Technologies (ICAECT 2024), Shri Shankaracharya Technical Campus (SSTC), Bhilai, Chhatisgarh, India
International Conference on Emerging Trends in Digital Technologies (ICETDT 2024), Usha Pravin Gandhi College of Arts, Science and Commerce, Vile Parle, Mumbai, India
Workshop Attended:
One Day Workshop on "STARTUP AND ENTREPRENEURSHIP DEVELOPMENT SUMMIT - 2022" , Sambalpur University Startup Forum, Sambalpur University, Jyoti Vihar, 768019
Publication:
Journal:
Santi Kumari Behera, Shishir Prasad Dash, Rajat Amat, and Prabira Kumar Sethy. "Wafer defect identification with optimal hyper-parameter tuning of support vector machine using the deep feature of ResNet 101." International Journal of System Assurance Engineering and Management (2023): 1-11. View
Santi Kumari Behera, Mannava Srinivasa Rao, Rajat Amat, and Prabira Kumar Sethy. "Bi-layer deep feature fusion based mineral classification using hand-specimen images." Journal of Intelligent & Fuzzy Systems Preprint: 1-8. View
Santi Kumari Behera, Komma Anitha, Rajat Amat, and Prabira Kumar Sethy. "ResNet101-SVM: Hybrid convolutional neural network for citrus fruits classification." Journal of Intelligent & Fuzzy Systems Preprint: 1-11. View
Nabin Kumar Naik, Prabira Kumar Sethy, Santi Kumari Behera, and Rajat Amat. "A methodical analysis of deep learning techniques for detecting Indian lentils." Journal of Agriculture and Food Research 15 (2024): 100943.View
Nabin Kumar Naik, Prabira Kumar Sethy, Rajat Amat, Santi Kumari Behera, and Preesat Biswas. "Evaluation of optimization techniques with support vector machine for identification of dry beans." Indonesian Journal of Electrical Engineering and Computer Science 32, no. 2 (2023): 704-714.View
Rajat Amat, Sunil Mallick, and Priyanka Suna (2023). Smart Accident Detection and Emergency Notification System with GPS and GSM Integration. International Journal of Recent Technology and Engineering (IJRTE) (Vol. 11, Issue 6, pp. 97–101). Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP. https://doi.org/10.35940/ijrte.f7506.0311623 View
Conference Paper:
Rajat Amat, Prabira Kumar Sethy, Santi Kumari Behera, and Sunil Mallick. "Statistical Selection of CNN Models for Citrus Fruit Disease Prediction." In 2023 International Conference on Sustainable Computing and Smart Systems (ICSCSS), pp. 490-494. IEEE, 2023.View
Nabin Kumar Naik, Prabira Kumar Sethy, Appari Geetha Devi, Rajat Amat, Santi Kumari Behera, and Preesat Biswas. "Durum Wheat Classification Using Feature Selection, Bayesian Optimization and Support Vector." In 2024 Fourth International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT), pp. 1-6. IEEE, 2024. View
Rajat Amat, Srikanta Dash, Srikanta Bhainsa, Sunil Mallick, and Bikash Padhan. "Comparative Analysis of Deep Learning Models and ResNet101-SVM Ensemble for Effective Garbage Classification." In 2023 3rd International Conference on Innovative Mechanisms for Industry Applications (ICIMIA), pp. 768-773. IEEE, 2023. View
Book Chapter:
Rajat Amat, Srikanta Dash, Bikash Padhan, and Sunil Mallick. "Integrated Approach for Dust Identification and Deep Learning-Based Classification of Photovoltaic Panels." Artificial Intelligence and Sustainable Computing: Proceedings of ICSISCET 2023: pp. 105-115. Singapore: Springer Nature Singapore, 2023. View
Contact Address
Rajat Amat
S/o- Ranjit Amat
At- Girasinga, Po- Balasinga
Dist- Boudh, Pin- 762014
Mail : amatrajat4@gmail.com
Mob : 8018022942