P. Mondol, P. Das, and K. K. Halder, “U-Net and Watershed Based Deep Learning Approach for Panoptic Segmentation of Colorectal Polyps in Colonoscopy,” IEEE International Conference on Electrical, Computer and Communication Engineering (ECCE), Chittagong, Bangladesh, 2025 [Read]

P. Mondol, P. Das, and K. K. Halder, “GINet: A Deep Learning Approach to Gastrointestinal Image Classification,” IEEE International Conference on Quantum Photonics, Artificial Intelligence, and Networking (QPAIN), Rangpur, Bangladesh, 2025 [Read]

P. Das, M. Islam, and P. Mondol, “Utilizing a Multi-Class CNN Model for Precise Diagnosis of Alzheimer’s Disease,” IEEE Global Conference on Cognitive Computing and Communication Technology (GC4T), Pune, India, 2025

P. Das, M. Islam, and P. Mondol, “A Comparative Analysis of Pre-trained Models for Identifying Alzheimer’s Disease,” IEEE International Conference on Quantum Photonics, Artificial Intelligence, and Networking (QPAIN), Rangpur, Bangladesh, 2025 [Read]

M. W. Rony, P. Mondol, and H. R. Myler, “Sensitivity of a 10nm dual-gate GAA Si Nanowire nMOSFET to Process Variation,” 19th International Conference on Computer and Information Technology (ICCIT), Dhaka, Bangladesh, 2016 [Read]

M. W. Rony, P. Bhowmik, H. R. Myler, and P. Mondol, “Short Channel Effects Suppression in a Dual-gate Gate-All-Around Si Nanowire Junctionless nMOSFET,” 9th International Conference on Electrical and Computer Engineering (ICECE), Dhaka, Bangladesh, 2016 [Read]

We classified the multiclass GI image data using a customized CNN to aid the endoscopic and colonoscopic inspection

Performed panoptic segmentation on Polyp image data using a customized U-Net and Watershed algorithm to better understand the polyp condition in the colon

Working on the development of a real-time polyp detection system from colonoscopic videos to provide an automated and time-saving solution to the problem

Published 2 IEEE international conference papers on this work

Compared performances of augmentation and SMOTE on unbalanced MRI image data for classification of stages of Alzheimer’s Disease using a customized deep learning model

Applied transfer learning using three state-of-the-art models to evaluate their performance on classification

Working on generating synthetic image data using WGAN-GP to further solve data imbalance constraints

These works resulted in the publication of 2 IEEE international conference papers

Designed and developed a new type of dry electrode that can extract bio signals like ECG, EEG, and EMG

Compared the performance of signal acquisition using the developed dry electrode with that acquired using state-of-the-art Biopac wet electrodes

Designed a Dual-Gate GAA Silicon nanowire nMOSFET and extracted its short channel parameters and compared the parameters with those of GAA

Studied the process sensitivity and mobility degradation of the designed nMOSFET

Contributed to 2 IEEE international conference publications based on this research

Leading a team of 36 engineers in tasks like control loop tuning, GUI implementation, instrumentation, and network maintenance in a 1320 MW coal power plant.

Completed procurement of goods and services worth USD 2,100,000.00 approximately.

Taught courses and labs on Control Systems, Electrical Machine, Electronic Devices and Circuit Theory, Electronics, Random Signals and Processes, Power System Protection, Microprocessors and Interfacing.

Supervised thesis of 6 undergraduate students.

Taught courses and labs on Control Systems, Electrical Machine, Electronic Devices and Circuit Theory to undergraduate students.