I am a third-year Ph.D. student in Information Systems at the University of Maryland, Baltimore County (UMBC), specializing in Artificial Intelligence and Machine Learning. I am a Graduate Research Assistant in the Mobile Pervasive and Sensor Computing (MPSC) Lab, advised by Prof. Nirmalya Roy, and a Graduate Teaching Assistant with Prof. Zhiyuan Chen. I am also affiliated with the Center for Research in Use-Inspired Cyber-Physical Systems (CYPRESS).

My research focuses on trustworthy multimodal AI for healthcare. I develop methods for contactless physiological monitoring, estimating breathing and other vital signs from ordinary video and multimodal sensor data, using computer vision, time-series modeling, and vision-language models. A central question in my work is how AI systems use physiological evidence: I study where vision-language models and LLM-based agents fail, and make their outputs more reliable through calibration, evidence-grounded reasoning, uncertainty-aware inference, and counterfactual auditing, with particular attention to separating failures of perception, insufficient evidence, and reasoning.

I also care about getting these systems out of the lab. My work extends to efficient on-device inference on edge hardware and mobile robots, including field experiments with the DEVCOM Army Research Laboratory and demonstrations on the NSF-supported testbeds at CYPRESS, UMBC.

Previously, I was a research assistant at the Advanced Medical Engineering Research Institute (AMERI), University of Hyogo, Japan, as a HUMAP Fellow, working with Prof. Syoji Kobashi and Prof. Md Belayat Hossain on medical image processing and surgical video understanding. I have also worked as a Graduate Research Assistant in the QUEST Lab at the University of North Carolina at Charlotte, and spent two years as a Lecturer in Computer Science and Engineering at Leading University, Bangladesh.

Research Interests

Contactless Health Sensing Breathing and vital signs from ordinary video, robust to motion, lighting, and occlusion

Trustworthy Medical AI Vision-language models and agents that calibrate, verify, and audit their evidence

Deployable Health Systems Efficient on-device inference on edge hardware and mobile robots

Upcoming Research Travel & Presentations

Nov2026 AAAI 2026 Fall Symposium Series Trustworthy and agentic AI for health Arlington, Virginia Dec2026 NeurIPS 2026 Med-Reasoner Workshop Reliable physiological reasoning with vision-language models Atlanta, Georgia

🔥 News

Sep 2026Paper

Two papers accepted at the NeurIPS 2026 Med-Reasoner Workshop on medical reasoning with vision-language foundation models.
Sep 2026Paper

Two papers accepted at the AAAI 2026 Fall Symposium Series, on counterfactual auditing for multimodal health agents and therapeutic-boundary failures in LLM agents.
Aug 2026Paper

Paper accepted at ACM CIKM 2026: Reliability-Guided Video Token Learning for Contactless Vital Sign Estimation.
Jul 2026Paper

EviCal-RR accepted at the MICCAI 2026 SAFER Workshop.
Jul 2026Talk

Presented ViTaL-Diff at the ICML 2026 Structured Data for Health (SD4H) Workshop.
Jun 2026Talk

Presented CALIBRA at the CVPR 2026 GRAIL-V Workshop.
Apr 2026Award

Received an NSF Student Travel Grant for IEEE/ACM CHASE 2026, with work at both the main conference and the SCH Workshop.
Apr 2026Demo

Field experiments and research demonstrations at the NSF TRACE Testbed Workshop, CYPRESS Technology Research Center, UMBC. Gallery
Aug 2025Demo

Demonstrated on-device contactless respiratory sensing on a Boston Dynamics Spot robot at DEVCOM ARL R2C2 during the ArtIAMAS University Experimentation Event. Event

Older news

2025Paper

Published work at IEEE ICMLA 2025 (RespFormer), IEEE SmartComp 2025 (E2RespUNet), and IEEE/ACM CHASE 2025 (RRPIPS).
2025Paper

Published a survey on remote photoplethysmography for contactless health sensing in WIREs Data Mining and Knowledge Discovery.
Aug 2025Milestone

Completed my M.Sc. in Information Systems (AI/ML Track) at UMBC with a 4.00/4.00 CGPA.
May 2025Milestone

Joined the Center for Real-time Distributed Sensing and Autonomy (CARDS) for collaborative research with the DEVCOM Army Research Laboratory.
Jan 2024Milestone

Began my Ph.D. in Information Systems at UMBC and joined the MPSC Lab.

Research Highlights

Trustworthy and Agentic Reasoning for Health AI

NeurIPS 2026 @Med-Reasoner

Measure What Matters: Active Evidence Acquisition for Reliable Physiological Reasoning
Shadman Sakib, Nirmalya Roy
NeurIPS 2026 Workshop on Medical Reasoning with Vision Language Foundation Models (Med-Reasoner)

PDF

NeurIPS 2026 @Med-Reasoner

Can VLMs Keep Time? Probing Quantitative Temporal Reasoning in Physiological Videos
Shadman Sakib, Nirmalya Roy
NeurIPS 2026 Workshop on Medical Reasoning with Vision Language Foundation Models (Med-Reasoner)

PDF

AAAI FSS 2026 @TAS

Does the Agent Follow the Evidence? Counterfactual Auditing for Trustworthy Multimodal Health Agents
Shadman Sakib, Nirmalya Roy
AAAI 2026 Fall Symposium on Trustworthy Agentic Systems (TAS 2026)

PDF

MICCAI 2026 @SAFER

EviCal-RR: Evidence-Calibrated Reasoning for Contactless Respiratory Monitoring
Shadman Sakib, Nirmalya Roy
MICCAI 2026 Workshop on Stable Adaptation and Faithful Evaluation of Reasoning in Medical Foundation Models (SAFER)

PDF

CHASE 2026

Decoupling Perception and Reasoning for Contactless Respiratory Rate with Vision Language and Small Language Models
Shadman Sakib, Gaurav Shinde, Nirmalya Roy
IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE 2026)

PDF

CVPR 2026 @GRAIL-V

CALIBRA: Calibration-Aware Multi-Agent Verification for Contactless Physiological Monitoring
Shadman Sakib, Gaurav Shinde, Nirmalya Roy
CVPR 2026 Workshop on Grounded Retrieval and Agentic Intelligence for Vision-Language (GRAIL-V)

PDF

Contactless Physiological Sensing

CIKM 2026

Reliability-Guided Video Token Learning for Contactless Vital Sign Estimation
Shadman Sakib, Haley Patel, Nirmalya Roy
35th ACM International Conference on Information and Knowledge Management (CIKM 2026)

PDF

ICML 2026 @SD4H

ViTaL-Diff: Video-Token Latent Diffusion for Contactless Respiratory Monitoring
Shadman Sakib, Nirmalya Roy
ICML 2026 Workshop on Structured Data for Health (SD4H)

PDF

ICMLA 2025

RespFormer: A Motion-Guided Temporal-Frequency Multimodal Fusion Transformer for Contactless Respiratory Monitoring
Shadman Sakib, Gaurav Shinde, Snehalraj Chugh, Mohammad Saeid Anwar, Nirmalya Roy
IEEE International Conference on Machine Learning and Applications (ICMLA 2025)

PDF

SmartComp 2025

E2RespUNet: End-to-End Respiratory Signal Reconstruction and Rate Prediction Using a Unified Attention-Enhanced U-Net
Shadman Sakib, Gaurav Shinde, Emon Dey, Nirmalya Roy
IEEE International Conference on Smart Computing (SmartComp 2025)

PDF

Selected Publications Google Scholar

1,200+ citations 16 h-index 23 i10-index Google Scholar, October 2026

Journal Articles

WIREs 2025 A State-Of-The-Art Survey of Remote Photoplethysmography for Contactless Health Parameters Sensing
Shadman Sakib, Zahid Hasan, Nirmalya Roy
WIREs Data Mining and Knowledge Discovery, Volume 15, Issue 3, 2025
WIREs 2025 A Survey on Efficient Vision–Language Models
Gaurav Shinde, Anuradha Ravi, Emon Dey, Shadman Sakib, Milind Rampure, Nirmalya Roy
WIREs Data Mining and Knowledge Discovery, 2025 · arXiv · GitHub
IEEE Access 2024 Multi-Model Attentional Fusion Ensemble for Accurate Skin Cancer Classification
Iftekhar Ahmed, Biggo Bushon Routh, Md. Saidur Rahman Kohinoor, Shadman Sakib, Md. Mahfuzur Rahman, Farag Azzedin
IEEE Access, Volume 12, pp. 181009–181024, 2024
IEEE TCSS 2023 Depression Detection From Social Networks Data Based on Machine Learning and Deep Learning Techniques: An Interrogative Survey
Khan Md Hasib, Md Rafiqul Islam, Shadman Sakib, Md Ali Akbar, Mohammad Shafiul Alam, Imran Razzak
IEEE Transactions on Computational Social Systems, Volume 10, Issue 4, pp. 1568–1586, 2023

Conference and Workshop Papers

NeurIPS 2026 Measure What Matters: Active Evidence Acquisition for Reliable Physiological Reasoning
Shadman Sakib, Nirmalya Roy
NeurIPS 2026 Workshop on Medical Reasoning with Vision Language Foundation Models (Med-Reasoner)
NeurIPS 2026 Can VLMs Keep Time? Probing Quantitative Temporal Reasoning in Physiological Videos
Shadman Sakib, Nirmalya Roy
NeurIPS 2026 Workshop on Medical Reasoning with Vision Language Foundation Models (Med-Reasoner)
AAAI FSS 2026 Do LLM Agents Follow Therapeutic Boundaries? Evaluating Cross-System Drug Substitution Hallucination
Aftar Ahmad Sami, Shakib Absar, Shadman Sakib, Iftekhar Ahmed, Zahid Hassan Tushar
AAAI 2026 Fall Symposium on Agentic and Trustworthy AI for Health and the Global AI-Ready Nursing Workforce
AAAI FSS 2026 Does the Agent Follow the Evidence? Counterfactual Auditing for Trustworthy Multimodal Health Agents
Shadman Sakib, Nirmalya Roy
AAAI 2026 Fall Symposium on Trustworthy Agentic Systems (TAS 2026)
CIKM 2026 Reliability-Guided Video Token Learning for Contactless Vital Sign Estimation
Shadman Sakib, Haley Patel, Nirmalya Roy
35th ACM International Conference on Information and Knowledge Management (CIKM 2026)
MICCAI 2026 EviCal-RR: Evidence-Calibrated Reasoning for Contactless Respiratory Monitoring
Shadman Sakib, Nirmalya Roy
MICCAI 2026 Workshop on Stable Adaptation and Faithful Evaluation of Reasoning in Medical Foundation Models (SAFER)
CHASE 2026 Decoupling Perception and Reasoning for Contactless Respiratory Rate with Vision Language and Small Language Models
Shadman Sakib, Gaurav Shinde, Nirmalya Roy
IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE 2026)
CHASE SCH 2026 A Quality-Aware Framework for Contactless Respiratory Monitoring Under Variable Sensing Conditions
Shadman Sakib, Milind Rampure, Nirmalya Roy
2nd Workshop on Sensing and Computing for Smart and Connected Health (SCH), co-located with IEEE/ACM CHASE 2026
ICML 2026 ViTaL-Diff: Video-Token Latent Diffusion for Contactless Respiratory Monitoring
Shadman Sakib, Nirmalya Roy
ICML 2026 Workshop on Structured Data for Health (SD4H)
DCOSS-IoT 2026 Contactless Respiratory Monitoring on Heterogeneous Mobile Robots: A Multimodal Edge-Computing Framework
Milind Rampure*, Shadman Sakib*, Haley Patel, Zahid Hasan, Nirmalya Roy
8th International Workshop on IoT Applications and Industry 5.0, co-located with IEEE DCOSS-IoT 2026
*Equal contribution
CVPR 2026 CALIBRA: Calibration-Aware Multi-Agent Verification for Contactless Physiological Monitoring
Shadman Sakib, Gaurav Shinde, Nirmalya Roy
CVPR 2026 Workshop on Grounded Retrieval and Agentic Intelligence for Vision-Language (GRAIL-V)
ICMLA 2025 RespFormer: A Motion-Guided Temporal-Frequency Multimodal Fusion Transformer for Contactless Respiratory Monitoring
Shadman Sakib, Gaurav Shinde, Snehalraj Chugh, Mohammad Saeid Anwar, Nirmalya Roy
IEEE International Conference on Machine Learning and Applications (ICMLA 2025)
SmartComp 2025 E2RespUNet: End-to-End Respiratory Signal Reconstruction and Rate Prediction Using a Unified Attention-Enhanced U-Net
Shadman Sakib, Gaurav Shinde, Emon Dey, Nirmalya Roy
IEEE International Conference on Smart Computing (SmartComp 2025)
CHASE 2025 RRPIPS: Respiratory Waveform Reconstruction using Persistent Independent Particles Tracking from Video
Zahid Hasan, Masud Ahmed, Shadman Sakib, Snehalraj Chugh, Md Azim Khan, Abu Zaher Md Faridee, Nirmalya Roy
ACM/IEEE International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE 2025) · Project
ICMI 2025 Deep Learning-Based Sentiment Analysis of Social Media and E-Commerce Reviews
Shadman Sakib, Md. Jalal Uddin Chowdhury, Md. Mahdi Hossain Hira, Tajwar Elahi Choudhury, Somapika Das
IEEE 4th International Conference on Computing and Machine Intelligence (ICMI 2025)
IEMCON 2021 A Data-Driven Hybrid Optimization Based Deep Network Model for Short-Term Residential Load Forecasting
Shadman Sakib, Khan Md Hasib, Ihtyaz Kader Tasawar, Abyaz Kader Tanzeem, Md Fahim Arefin, Saharul Islam, Mohammad Shafiul Alam
12th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON 2021), Vancouver, Canada
Best Paper Award, Signal Processing Track
R10 HTC 2021 Performance Analysis of Machine Learning Approaches in Diabetes Prediction
Shadman Sakib, Nowrin Yasmin, Ihtyaz Kader Tasawar, Anas Aziz, Md. Abu Bakr Siddique, Mohammad Mahmudur Rahman Khan
IEEE 9th Region 10 Humanitarian Technology Conference (R10-HTC 2021), Bangalore, India
Best Paper Award, Biomedical Engineering Track

Under Review

UNDER REVIEW PhyResp: Robust Contactless Respiratory Sensing with Physics-Constrained Predictive State Modeling
Shadman Sakib, Nirmalya Roy
UNDER REVIEW Pixels-to-Phase: Reliability-Aware Latent State-Space Modeling for Contactless Respiratory Estimation
Shadman Sakib, Nirmalya Roy
UNDER REVIEW SAGE-RR: Selective Auditing with Grounded Evidence for Robust Contactless Respiratory Rate Estimation
Shadman Sakib, Nirmalya Roy
UNDER REVIEW Vision-Language Models in Healthcare: A Comprehensive Review from Data to Diagnosis
Aftar Ahmad Sami, Md. Jalal Uddin Chowdhury, Shakib Absar, Iftekhar Ahmed, Shadman Sakib, Md Rafiqul Islam, Sami Azam, Nirmalya Roy

More Publications

WoWMoM 2026 CAViAR: Quality-Aware Vision-and-Radio Fusion for Relative Range Estimation Among Collaborative Autonomous Agents
Gaurav Shinde, Anuradha Ravi, Jared Lewis, Andre Harrison, Henry Gardiner, Mohammad Saeid Anwar, Shadman Sakib, Jade Freeman, Nirmalya Roy
27th IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM 2026)
ICML 2026 Reliable Dental Radiograph Diagnosis via Calibrated Hybrid Representation Learning
Sayem Ahmed Shayeed, Md. Jalal Uddin Chowdhury, Shadman Sakib
ICML 2026 Workshop (MusIML)
WACV 2026 TFFM: Topology-Aware Feature Fusion Module via Latent Graph Reasoning for Retinal Vessel Segmentation
Iftekhar Ahmed, Shakib Absar, Aftar Ahmad Sami, Shadman Sakib, Debojyoti Biswas, Seraj Al Mahmud Mostafa
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) Workshops, 2026
BECITHCON 2025 Multi-Strategy Optimization of U-Net Variants for Orthopantomogram Segmentation
2025 IEEE International Conference on Biomedical Engineering, Computer and Information Technology for Health (BECITHCON)
arXiv 2024 A Novel Ensemble-Based Deep Learning Model with Explainable AI for Accurate Kidney Disease Diagnosis
Md. Arifuzzaman, Iftekhar Ahmed, Md. Jalal Uddin Chowdhury, Shadman Sakib, Mohammad Shoaib Rahman, Md. Ebrahim Hossain, Shakib Absar
arXiv preprint arXiv:2412.09472, 2024
COMPAS 2024 PAKE–PoS Tagger Augmented Keyword Extraction
Md. Saidur Rahman Kohinoor, Ayesha Loylus Miah, Shah Fayez Ali, Md. Sabir Hossain, Md. Hasan Imam Bijoy, Shadman Sakib
2024 IEEE International Conference on Computing, Applications and Systems (COMPAS 2024)
ICoDSA 2024 Optimizing Facial Recognition: An Analytical Comparison of Traditional and Deep Learning Approaches
Shadman Sakib, Md. Nurul Absar Siddiky, Md. Arifuzzaman, Md. Jalal Uddin Chowdhury
2024 IEEE International Conference on Data Science and Its Applications (ICoDSA)
AIIoT 2022 COVID-19 Prediction based on Infected Cases and Deaths of Bangladesh using Deep Transfer Learning
Khan Md Hasib, Shadman Sakib, Jubayer Al Mahmud, Kamruzzaman Mithu, Md. Saifur Rahman
IEEE World AI IoT Congress (AIIoT 2022), Seattle, United States
CCWC 2022 Performance Analysis of Convolutional Neural Network Architectures for the Identification of COVID-19 from Chest X-ray Images
2022 IEEE 12th Annual Computing and Communication Workshop and Conference (CCWC)
IEMCON 2022 Performance Analysis of Machine Learning Algorithms in Chronic Kidney Disease Prediction
Iftekhar Ahmed, Nafisa Tasmiya, Tanzil Ebad Chowdhury, Shadman Sakib, Biggo Bushon Routh, Adil Ahmed Chowdhury
2022 IEEE 13th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)
IEMCON 2021 Blood Cancer Recognition Based on Discriminant Gene Expressions: A Comparative Analysis of Optimized Machine Learning Algorithms
Shadman Sakib, Abyaz Kader Tanzeem, Ihtyaz Kader Tasawar, Fatema Shorna, Md. Abu Bakr Siddique, Saadia Binte Alam
12th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON 2021), Vancouver, Canada
ICCCES 2021 Breast Cancer Detection and Classification: A Comparative Analysis Using Machine Learning Algorithms
Shadman Sakib, Nowrin Yasmin, Abyaz Kader Tanzeem, Fatema Shorna, Khan Md Hasib, Saadia Binte Alam
3rd International Conference on Communication, Computing and Electronics Systems (ICCCES 2021), Springer
R10 HTC 2021 De Novo Drug Property Prediction using Graph Convolutional Neural Networks
Fairuz Shadmani Shishir, Khan Md Hasib, Shadman Sakib, Shithi Maitra, Farzana M. Shah
IEEE 9th Region 10 Humanitarian Technology Conference (R10-HTC 2021), Bangalore, India
ICOSEC 2021 Transfer Learning Based Method for Automatic COVID-19 Cases Detection in Chest X-Ray Images
Shadman Sakib, Md. Abu Bakr Siddique, Mohammad Mahmudur Rahman Khan, Nowrin Yasmin, Anas Aziz, Madiha Chowdhury, Ihtyaz Kader Tasawar
2nd International Conference on Smart Electronics and Communication (ICOSEC 2021), Trichy, India
R10 HTC 2021 Impact of Pedal Powered Vehicles on Average Traffic Speed in Dhaka City: A Cross-sectional Study Based on Road Class and Timestamp
IEEE 9th Region 10 Humanitarian Technology Conference (R10-HTC 2021)
SCIS–ISIS 2020 Hand Frame Extraction in Surgical Video Images Using Convolutional Neural Network
Shadman Sakib, Belayat Hossain, Takafumi Hiranaka, Syoji Kobashi
Joint 11th International Conference on Soft Computing and Intelligent Systems and 21st International Symposium on Advanced Intelligent Systems (SCIS–ISIS 2020)
TENSYMP 2020 Performance Evaluation of t-SNE and MDS Dimensionality Reduction Techniques with KNN, ENN and SVM Classifiers
Shadman Sakib, Md. Abu Bakr Siddique, Md. Abdur Rahman
IEEE Region 10 Symposium (TENSYMP 2020), Dhaka, Bangladesh
I-SMAC 2020 Deep Convolutional Neural Networks Model-based Brain Tumor Detection in Brain MRI Images
Md. Abu Bakr Siddique, Shadman Sakib, Mohammad Mahmudur Rahman Khan, Abyaz Kader Tanzeem, Madiha Chowdhury, Nowrin Yasmin
Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC 2020)
R10 HTC 2020 Automatic Detection of COVID-19 Disease in Chest X-Ray Images using Deep Neural Networks
Mohammad Mahmudur Rahman Khan, Shadman Sakib, Md. Abu Bakr Siddique, Madiha Chowdhury, Ziad Hossain, Anas Aziz, Nowrin Yasmin
IEEE 8th Region 10 Humanitarian Technology Conference (R10-HTC 2020)
I-SMAC 2020 Electrocardiogram Heartbeat Classification Using Convolutional Neural Networks for the Detection of Cardiac Arrhythmia
Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC 2020)
ISMSIT 2020 Prediction of Temperature and Rainfall in Bangladesh Using Long Short Term Memory Recurrent Neural Networks
IEEE 4th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT 2020)
medRxiv 2020 Detection of COVID-19 Disease from Chest X-ray Images: A Deep Transfer Learning Framework
medRxiv preprint 2020.11.08.20227819, 2020
ICIET 2019 Performance Analysis of Deep Autoencoder and NCA Dimensionality Reduction Techniques with KNN, ENN and SVM Classifiers
Md. Abu Bakr Siddique, Shadman Sakib, Md. Abdur Rahman
2nd International Conference on Innovation in Engineering and Technology (ICIET 2019), Dhaka, Bangladesh
ICAEE 2019 Recognition of Handwritten Digit using Convolutional Neural Network in Python with Tensorflow and Comparison of Performance for Various Hidden Layers
Fathma Siddique, Shadman Sakib, Md. Abu Bakr Siddique
5th International Conference on Advances in Electrical Engineering (ICAEE 2019), Dhaka, Bangladesh
ICIET 2019 Non-Intrusive Electrical Appliances Monitoring and Classification using K-Nearest Neighbors
2nd International Conference on Innovation in Engineering and Technology (ICIET 2019), Dhaka, Bangladesh
ICAEE 2019 Modeling and Simulation of Solar Photovoltaic Cell for the Generation of Electricity in UAE
5th International Conference on Advances in Electrical Engineering (ICAEE 2019), Dhaka, Bangladesh
arXiv 2019 Implementation of Fruits Recognition Classifier using Convolutional Neural Network Algorithm for Observation of Accuracies for Various Hidden Layers
arXiv preprint arXiv:1904.00783, 2019
arXiv 2019 Unsupervised Segmentation Algorithms' Implementation in ITK for Tissue Classification via Human Head MRI Scans
arXiv preprint arXiv:1902.11131, 2019
IUBAT 2019 Digital Image Restoration and Image Classification Using Deep Learning
International University of Business Agriculture and Technology (IUBAT), 2019
IJNC 2018 A Review of Communications Satellite by Focusing on ‘Bangabandhu Satellite-1’, the First GEO Communications Satellite of Bangladesh
International Journal of Networks and Communications, 8(5), 123–128, 2018
IJSER 2018 Smart City Architecture and Applications Based on IoT: A Theoretical Overview
International Journal of Scientific and Engineering Research, 10, 1815–1820, 2018
MSSE 2018 Analysis of a Novel Single Phase AC-DC CUK Converter with Low Input Current, THD to Improve the Overall Power Quality Using PFC
Microelectronics and Solid State Electronics, 6(1), 11–16, 2018
ICIET 2018 Digital Image Restoration in Matlab: A Case Study on Inverse and Wiener Filtering
Mohammad Mahmudur Rahman Khan, Shadman Sakib, Rezoana Bente Arif, Md. Abu Bakr Siddique
International Conference on Innovation in Engineering and Technology (ICIET 2018), Dhaka, Bangladesh
Preprints 2018 An Overview of Convolutional Neural Network: Its Architecture and Applications
Preprints.org, 2018

Honors and Awards

2025, 2026Doctoral Research Poster Award, COEIT Research Day, UMBC
2026NSF Student Travel Grant, IEEE/ACM CHASE 2026
2025Student Travel Grant, Department of Information Systems, UMBC (IEEE ICMLA 2025)
2021Best Paper Award, Signal Processing Track, IEEE IEMCON 2021
2021Best Paper Award, Biomedical Engineering Track, IEEE R10 HTC 2021
2020Student Travel Grant, University of Hyogo (IEEE SCIS & ISIS 2020)
2019–2020HUMAP Fellowship, University of Hyogo, Japan
2018–2020Outstanding Teaching Assistant Award, Department of EEE, IUBAT
2016–2019University Merit Scholarship and Dean's List, IUBAT
2016Chancellor's Award for Academic Excellence, IUBAT
2015–2016Departmental Chair's Award for Outstanding Academic Performance, IUBAT

Education

Ph.D. in Information SystemsJan 2024 – Present

University of Maryland, Baltimore County (UMBC), Maryland, USA

AI/ML Track · Advisor: Prof. Nirmalya Roy · CGPA 4.00/4.00

M.Sc. in Information SystemsJan 2024 – Aug 2025

University of Maryland, Baltimore County (UMBC), Maryland, USA

AI/ML Track · CGPA 4.00/4.00

B.Sc. in Electrical and Electronic EngineeringAug 2015 – Aug 2019

International University of Business Agriculture and Technology (IUBAT), Dhaka, Bangladesh

CGPA 3.96/4.00 · Ranked 1st in class

Research Experience

Graduate Research AssistantJan 2024 – Present

Mobile, Pervasive and Sensor Computing (MPSC) Lab, University of Maryland, Baltimore County

Advisor: Prof. Nirmalya Roy. Trustworthy multimodal AI for contactless health monitoring.

Develop contactless respiratory and vital-sign monitoring from RGB, NIR, and IR video, robust to motion, lighting, and occlusion.
Study how vision-language models and health agents reason over physiological evidence, using calibration, evidence grounding, and counterfactual auditing to make them reliable.
Deploy sensing and reasoning pipelines on edge hardware and mobile robots.
Systems: RespFormer, E2RespUNet, RRPIPS, VLS-RR, CALIBRA, EviCal-RR, ViTaL-Diff.

Graduate Research AssistantMay 2025 – Aug 2025

Center for Real-time Distributed Sensing and Autonomy (CARDS), UMBC

In collaboration with the DEVCOM Army Research Laboratory (ARL).

Built an on-device respiratory monitoring system for a Boston Dynamics Spot robot on NVIDIA Jetson Orin.
Designed the vision and signal-processing pipeline for changing viewpoints, outdoor lighting, partial occlusion, and robot motion.
Evaluated the system in field experiments at the ARL Robotics Research Collaboration Campus (R2C2), Graces Quarters, Maryland.

Graduate Research AssistantJan 2023 – Dec 2023

Quantitative Ultrasound Imaging (QUEST) Lab, University of North Carolina at Charlotte

Applied deep learning and quantitative ultrasound to obstetric imaging.
Worked on image segmentation and registration for non-invasive tissue characterization and early screening.

Research AssistantSep 2019 – Sep 2020

Advanced Medical Engineering Research Institute (AMERI), University of Hyogo, Japan

HUMAP Fellow. Media feature

Developed deep-learning methods for surgical video captured by wearable smart glasses: phase recognition, hand-frame extraction, and tool detection.

Field Demonstrations

NSF TRACE Testbed Workshop and Field ExperimentApr 2026

CYPRESS Technology Research Center, UMBC

Field experiments and research demonstrations on the NSF-supported TRACE testbed for autonomous and cyber-physical systems. Gallery · Workshop

Collaborative Remote Robotics ExperimentAug 2025

DEVCOM ARL R2C2, Graces Quarters, Maryland

Demonstrated on-device contactless physiological sensing on a Boston Dynamics Spot robot at the ArtIAMAS University Experimentation Event, using the Distributed Virtual Proving Ground (DVPG). Event

Teaching

Graduate Teaching AssistantJan 2024 – Present

Department of Information Systems, University of Maryland, Baltimore County (UMBC)

With Prof. Zhiyuan Chen, across undergraduate and graduate courses.

IS 420Database Application DevelopmentFall 2026 · Fall 2025 · Spring 2025

Lead weekly lab sections for 80+ students on SQL, PL/SQL, ER modeling, normalization, stored procedures, triggers, and transaction control.

IS 620Advanced Database ProjectsSpring 2026 · Fall 2024

Supported a project-based graduate course for 50+ students in database design, schema development, query optimization, and transaction processing; reviewed project proposals and evaluated final deliverables.

IS 427Introduction to Artificial IntelligenceSpring 2024

Supported 45+ students in search, probabilistic reasoning, supervised learning, and Python/scikit-learn projects.

LecturerOct 2020 – Dec 2022

Department of Computer Science and Engineering, Leading University, Sylhet, Bangladesh

Taught Machine Learning, Artificial Intelligence, Digital Signal Processing, Microprocessors and Interfacing, and Electrical Circuits, with their laboratory and project courses.
Designed course materials, laboratory exercises, assignments, and examinations.
Supervised 13+ undergraduate theses, several of which led to peer-reviewed publications.
Mentored students in research design, scientific writing, and manuscript preparation.

Professional Service

Program Committee

AAAI 2026 Fall Symposium Series (FSS-26)

Conference Reviewer

IEEE ISBI 2026 · MICCAI 2026 · IEEE BigData 2026 · ICVGIP 2026 · AusDM 2026 · NCA 2026 · IEEE ICSIPA 2026 · IEEE SCIS–ISIS 2024, 2026

Workshop Reviewer

NeurIPS 2026 Med-Reasoner, JUDGe, SocialAgent NeurIPS 2025 MusIM ICML 2026 FMSD, SD4H, MusIML ICLR 2026 TSALM CVPR 2026 Med-Reasoner ECCV 2026 HCV

Journal Reviewer

Applied Soft Computing · Array · Biomedical Signal Processing and Control · Computational Biology and Chemistry · Computers in Biology and Medicine · Data in Brief · Frontiers in Computer Science · Healthcare Analytics · Informatics in Medicine Unlocked · Intelligence-Based Medicine · Medical Engineering & Physics · Multimedia Tools and Applications · Pulmonary Medicine

Organization

Organizing Team, NSF TRACE Testbed Workshop, UMBC, 2026 Local Organizer, IEEE PerCom 2025

Mentoring

Mentor, IEEE Leading University Student Branch, 2021–2022

Memberships

IEEE (Graduate Student Member) · ACM (Student Member) · ACM SIGIR · AAAI (Student Member)

Open to Research Collaboration

I am always glad to hear from researchers, students, and clinical partners working on related problems, particularly in:

Contactless Physiological Sensing Multimodal Reasoning for Healthcare Vision-Language Models for Health Trustworthy and Calibrated AI Multimodal Sensor Fusion Edge AI and On-Device Inference Computer Vision and Video Analysis Smart Health and Remote Monitoring Medical Imaging

Contact

Office: ITE 457
Lab: Mobile, Pervasive and Sensor Computing (MPSC) Lab
Department: Information Systems
Institution: University of Maryland, Baltimore County
1000 Hilltop Circle, Baltimore, MD 21250, USA
Connect: ssakib1@umbc.edu · LinkedIn