Tonmoy Ghosh
University of Alabama, The University of Alabama, Bangladesh University of Engineering and Technology, Pabna University of Science and Technology
About
Tonmoy Ghosh received the B.Sc. and M.Sc. degree in electrical and electronic engineering (EEE) from the Bangladesh University of Engineering and Technology (BUET), Dhaka, Bangladesh, in 2012 and 2016, respectively. Currently, He is doing his Ph.D. in the department of ECE at The University of Alabama, Tuscaloosa, USA. Before this, he was a Instructor in the EEE department at Pabna University of Science and Technology (PUST), Pabna, Bangladesh. His research interests include applying signal processing and machine/deep learning-based method to address engineering problems in images, wearable sensors, and interdisciplinary research with a particular focus on computer aided detection and health monitoring applications. Tonmoy Ghosh serves as a reviewer for several journals, including IEEE, Elsevier, and other publications.
Employment
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University of Alabama Post doctoral researcher2023 - Present
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The University of Alabama Graduate Research Assistant2017 - 2022
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Pabna University of Science and Technology Lecturer2014 - 2017
Education
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Bangladesh University of Engineering and Technology M.Sc.2012 - 2016
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Bangladesh University of Engineering and Technology B.Sc.2007 - 2012
Projects & Funding
Projects & funding information is unavailable.
Publications (33)
- Multi-Task NoisyViT for Enhanced Fruit and Vegetable Freshness Detection and Type Classification Save
- Computer-Aided Bleeding Detection Algorithms for Capsule Endoscopy: A Systematic Review Save
- Deep Learning-Based Comparative Study to Detect Polyp Removal in Endoscopic Images Save
- Improvement of Methodology for Manual Energy Intake Estimation From Passive Capture Devices Save
- 'Automatic Ingestion Monitor Version 2' - A Novel Wearable Device for Automatic Food Intake Detection and Passive Capture of Food Images Save
- A reinforcement learning approach for gnss spoofing attack detection of autonomous vehicles Save
- Bleeding recognition technique in wireless capsule endoscopy images using fuzzy logic and principal component analysis Save
- Computer-Aided Polyp Removal Detection in Endoscopic Images Save
- Deep Transfer Learning for Automated Intestinal Bleeding Detection in Capsule Endoscopy Imaging Save
- Detection of Food Intake Sensor's Wear Compliance in Free-Living Save