Tariq

Mohammad Tariqul Islam

I am a PhD Candidate at the Department of Electrical and Computer Engineering in Princeton University where I work in Prof. Jason Fleischer's lab on machine learning and data analysis.

Email / CV / Google Scholar / Github / Hobby

Research

My primary research interests include machine learning, signal processing, imaging.

The research topic of my PhD involves unsupervised nonlinear dimensionality reduciton (UMAP, t-SNE) methods and their applications in biomedical data analysis.

2023
	Outlier Detection in Large Radiological Datasets using UMAP Mohammad Tariqul Islam, Jason W. Fleischer [Submitted] ..., 2023 pre-print We show that neighbor embedding algorithms can find these anomalies, essentially by forming independent clusters that are distinct from the main (“good”) data but similar to other points with the same error type.
	Super-resolution using Gradient Descent Mohammad Tariqul Islam, Shaurya Aarav, S. A. Wadood Jason W. Fleischer [Congress] Computational Optical Sensing and Imaging, 2023 pySuperRes We explore performance of gradient descent algorithm for two-point super-resolution under abberations in the optical path. We developed PySuperRes, a python package, to model PSFs under noise and abberation, and to estiamte PSF positions.
2022
	Manifold-aligned Neighbor Embedding Mohammad Tariqul Islam, Jason W. Fleischer [Workshop] ICLR workshop on Geometrical and Topological Representation Learning, 2022 code // poster We extend UMAP for manifold alignment.
2021
	Unified Learning Approach for Egocentric Hand Gesture Recognition and Fingertip Detection Mohammad Mahmudul Alam, Mohammad Tariqul Islam, SM Mahbubur Rahman [Journal] Pattern Recognition, vol. 121, 2021 Egocentric detection of fingertips from videos recorded in a VR headset.
	Prediction of Instantaneous Likeability of Advertisements Using Deep Learning Dipayan Saha, SM Mahbubur Rahman, Mohammad Tariqul Islam, M Omair Ahmad, MNS Swamy [Journal] Cognitive Computation and Systems, vol. 3, issue 3, 2021 We construct a dataset for predicting advertisement likebality by recording user reaction while wathing ads. Then we employ regression analysis (MSE and concordance correlation) using LSTM and estimate the viewers' affective response.
2020
	Late Breaking Abstract-Identifying and Phenotyping COVID-19 Patients using Machine Learning on Chest X-rays Jason W. Fleischer, Mohammad Tariqul Islam [Abstract] European Respiratory Journal, vol. 56, Supp. 64, 2020 Best Abstract at the ERS Congress in the COVID-19 session. Using UMAP, we show that x-ray features reveal two distinct phenotype in COVID-19 response.
	Distinguishing L and H phenotypes of COVID-19 using a single x-ray image Mohammad Tariqul Islam, Jason W. Fleischer [Article] medRxiv, 2020 We analyze COVID-19 chest x-ray features for signatures of L and H phenotypes of COVID-19.
2019
	SPECMAR: Fast Heart Rate Estimation From PPG Signal Using a Modified Spectral Subtraction Scheme with Composite Motion Artifacts Reference Generation Mohammad Tariqul Islam, Sk Tanvir Ahmed, Celia Shahnaz, Shaikh Anowarul Fattah [Journal] Medical & Biological Engineering & Computing, vol. 57, issue 3, 2019
	Machine learning approach of automatic identification and counting of blood cells Mohammad Mahmudul Alam, Mohammad Tariqul Islam [Journal] Healthcare Technology Letters, vol. 8, issuse 4, 2019 code
	Estimation of affective dimensions using CNN-based features of audiovisual data Ramesh Basnet, Mohammad Tariqul Islam, Tamanna Howlader, SM Mahbubur Rahman, Dimitrios Hatzinakos [Journal] Pattern Recognition Letters, vol. 128, 2019
	Deep Lip Reading-A Deep Learning Based Lip-Reading Software for the Hearing Impaired Mohammed Abid Abrar, ANM Nafiul Islam, Mohammad Muntasir Hassan, Mohammad Tariqul Islam, Celia Shahnaz, Shaikh Anowarul Fattah [Conference] IEEE R10 Humanitarian Technology Conference (R10-HTC), 2019
2018
	Reduction of Mixed Gaussian-Impulse Noise Using Deep Convolutional Neural Network Mohammad Tariqul Islam, [Master's Thesis] Bangaldesh University of Engineering and Technology, 2018
	Mixed Gaussian-Impulse Noise Reduction from Images using Convolutional Neural Network Mohammad Tariqul Islam, SM Mahbubur Rahman, M Omair Ahmad, MNS Swamy [Journal] Signal Processing: Image Communication, vol 68, 2018
	Cascade and Parallel Combination (CPC) of Adaptive Filters for Estimating Heart Rate During Intensive Physical Exercise from Photoplethysmographic Signal Mohammad Tariqul Islam, Sk Tanvir Ahmed, Ishmam Zabir, Celia Shahnaz, Shaikh Anowarul Fattah [Journal] Healthcare technology letters, vol. 5, issue 1, 2018
	A Variational Step for Reduction of Mixed Gaussian-Impulse Noise from Images Mohammad Tariqul Islam, Dipayan Saha, SM Mahbubur Rahman, M Omair Ahmad, MNS Swamy [Conference] 10th International Conference on Electrical and Computer Engineering (ICECE), 2018
	Biometric Authentication Using CNN Features of Dorsal Vein Pattern Extracted from NIR Image Rafat Jamal Tazim, Md Messal Monem Miah, Sanzida Sayedul Surma, Mohammad Tariqul Islam, Celia Shahnaz, Shaikh Anowarul Fattah [Conference] TENCON 2018 - 2018 IEEE Region 10 Conference
	Classification of Retinal Diseases from OCT scans using Convolutional Neural Networks Suhail Najeeb, Nowshin Sharmile, Md. Sajid Khan, Ipsita Sahin, Mohammad Tariqul Islam, Mohammed Imamul Hassan Bhuiyan, [Conference] 10th International Conference on Electrical and Computer Engineering (ICECE), 2018
	Multiheaded Starfish Shaped Multiband Microstrip Patch Antenna for Satellite Communication Md Sazzad Hossain, Md Towsif Abir, Md Hadiur Rahman Khan, Mohammad Tariqul Islam [Conference] 10th International Conference on Electrical and Computer Engineering (ICECE), 2018
	Microstrip-Line Fed Gap-Coupled Antennas for Different Patch Geometries Sowmitra Das, Bejoy Sikder, Md Hadiur Rahman Khan, Mohammad Tariqul Islam [Conference] 10th International Conference on Electrical and Computer Engineering (ICECE), 2018
	Configurable Digital Hearing Aid System with Reduction of Noise for Speech Enhancement Using Spectral Subtraction Method and Frequency Dependent Amplification Biswajit Saha, Shakil Khan, Celia Shahnaz, Shaikh Anowarul Fattah, Mohammad Tariqul Islam, Asir Intisar Khan [Conference] TENCON 2018 - 2018 IEEE Region 10 Conference
2017
	Abnormality Detection and Localization in Chest X-Rays using Deep Convolutional Neural Networks Mohammad Tariqul Islam, Md Abdul Aowal, Ahmed Tahseen Minhaz, Khalid Ashraf [Article] ArXiv, 2017 code
	A time-frequency domain approach of heart rate estimation from photoplethysmographic (PPG) signal Mohammad Tariqul Islam, Ishmam Zabir, Sk. Tanvir Ahmed, Md. Tahmid Yasar, Celia Shahnaz, Shaikh Anowarul Fattah [Journal] Biomedical Signal Processing and Control, 2017 code
	Statistical Selection of CNN-based Audiovisual Features for Instantaneous Estimation of Human Emotional States Ramesh Basnet, Mohammad Tariqul Islam, Tamanna Howlader, SM Mahbubur Rahman, Dimitrios Hatzinakos [Conference] International Conference on New Trends in Computing Sciences (ICTCS), 2017
	CNN-Based Prediction of Frame-Level Shot Importance for Video Summarization Mohaiminul Al Nahian, ASM Iftekhar, Mohammad Tariqul Islam, SM Mahbubur Rahman, Dimitrios Hatzinakos [Conference] International Conference on New Trends in Computing Sciences (ICTCS), 2017
	Design of a low cost anti-theft sensor for motorcycle security device MM Hossain, MS Islam, NF Dipu, Mohammad Tariqul Islam, Shaikh Anowarul Fattah, Celia Shahnaz [Conference] IEEE Region 10 Humanitarian Technology Conference (R10-HTC), 2017
	Wrist-Card: PPG Sensor based Wrist Wearable Unit for Low Cost Personalized Cardio Healthcare System Shaikh Anowarul Fattah, Mohammad Mahinur Rahman, Nafis Mustakin, Mohammad Tariqul Islam, Asir Intisar Khan,, Celia Shahnaz [Conference] IEEE Global Humanitarian Technology Conference (GHTC), 2017
2016
	An Efficient Method for Heart Rate Monitoring using Wrist-type Photoplethysmographic Signals During Intensive Physical Exercise Sk. Tanvir Ahmed, Mohammad Tariqul Islam [Conference] 5th International Conference on Informatics, Electronics and Vision (ICIEV), 2016

Misc

Review
IEEE Transactions on Medical Imaging, IEEE
Medical Image Analysis, Elsevier
Biomedical Signal Processing and Control, Elsevier
Topology, Algebra, and Geometry in Machine Learning, 2022, Workshop at ICML 2022
2023 Topological, Algebraic, and Geometric Pattern Recognition with Applications Workshop, at CVPR 2023
IEEE Access, IEEE
Smart Health, Elsevier
Circuits, Systems and Signal Processing, Springer
International Journal of Intelligent Robotics and Applications, Springer

Teaching

@Princeton University
Assistantship in Instruction, ECE 452: Biomedical Imaging (Spring 2021, 2022, 2023), ECE115 Introduction to Computing: Programming Autonomous Vehicles (Fall 2021).

@Bangaldesh University of Engineerng and Technology
Lecturer of Communication Theory, Digital Signal Processing Laboratoy, Microwave Engineering Laboratory, Measurement and Instrumentation Laboratory in different semesters.

Modified from Jon Barron's website. Images in Misc sections are taken from xkcd.