Masud Ahmed
Graduate Research Assistant
Univesity of Maryland, Baltimore County
Welcome to my personal webpage! I am an enthusiastic Ph.D. candidate at the University of Maryland, Baltimore County, specializing in Artificial Intelligence and Machine Learning. Under the guidance of Dr. Nirmalya Roy in the Department of Information Systems, I am honing my skills in the cutting-edge fields of generative modeling, domain adaptation, and various forms of learning, including continual, self-supervised, and active learning. As a member of the Mobile, Pervasive and Sensor Computing (MPSC) Lab, I thrive in collaborative settings and am passionate about exploring theoretical and application-driven research. My work spans a range of exciting areas, from computer vision to natural language processing, focusing on the practical applications of AI in Robotics.
To download my resume click hereEducation
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Ph.D. in Information Systems (January 2020 - Present)
University of Maryland, Baltimore County
Supervisior: Dr. Nirmalya Roy, Professor
CGPA: 3.90/4.00 -
B.Sc. in Electrical and Electronic Engineering (January 2014 - April 2018)
University of Dhaka
Supervisor: Dr. Md Atiqur Rahman Ahad, Professor
CGPA: 3.18/4.00
To download my transcript click following (authorization required):
B.Sc. transcipt
Ph.D. transript (unofficial)
Reserach Areas
Application
Programming Languages
Dataset
Projects
Learning the Optical & Physiological Mechanics of rPPG with Self-Supervision
In this computational biology project, proposed a self-supervised learning approach for estimating heart rate from remote photoplethysmography (rPPG) signals obtained from skin videos without the need for synchronized ground truth annotations.
Developed a contrastive learning-based pretraining strategy to learn the underlying diffusion signals' frequency, phase, and temporal coherence from unlabeled video frame sequences.
Active Learning for Semantic Segmentation in Mobile Robotics
Develop a real-time framework for active selection of informative regions in visual data for continual learning in semantic segmentation.
Entropy-driven ranking and cyclical feedback loop.
Reduced data transfer overhead, improving model performance with minimal labeled data.
Strata and Viewpoint Invariant Encoding for Robust Video Action Recognition
Address the challenge of robust video action recognition (VAR) in diverse settings with varying viewpoints and sensors.
Propose a joint optimization method leveraging contrastive and adversarial loss for learning sensors and viewpoint invariant representation from unlabeled synchronous multiview (MV) video data.
Collect a large-scale time synchronous MV video dataset encompassing diverse settings, actions, viewpoints, and sensor properties.
Semantic Clustering Innovation: Novel Categories Discovery (NCD)
Develop NCD for novel data clustering based on known class semantics, overcoming pseudo-labeling limitations.
Leverage data sampling and multinoulli distribution for implicit semantic clustering without extensive annotations.
Align class neuron activation distributions through Monte-Carlo sampling, explore directional statistics, and conduct ablation studies to advance state-of-the-art clustering approaches.
Establishment of Remote Robotics Collaboration and Path Planning
Facilitate a collaborative initiative between the Army Research Lab (ARL) and the University of Maryland Baltimore County (UMBC).
Implement the DVPG network to enable remote robot operation, and remote real-world data collection.
Enable data collection from any location with DVPG network access within the Army Research Lab, enhancing flexibility and accessibility.
Publications
Book
Md Atiqur Rahman Ahad, Anindya Das Antar, Masud Ahmed, "IoT Sensor-Based Activity Recognition - Human Activity Recognition," Springer Nature.
Journal Paper
Anindya Das Antar, Masud Ahmed, Md Atiqur Rahman Ahad, "Recognition of human locomotion on various transportations fusing smartphone sensors," Pattern Recognition Letters, 2021.
Masud Ahmed, Anindya Das Antar, Md Atiqur Rahman Ahad, "Static postural transition-based technique and efficient feature extraction for sensor-based activity recognition," Pattern Recognition Letters, 2021.
Md Atiqur Rahman Ahad, Masud Ahmed, Anindya Das Antar, Yasushi Makihara, Yasushi Yagi, "Action recognition using kinematics posture feature on 3D skeleton joint locations," Pattern Recognition Letters, 2021.
Md Atiqur Rahman Ahad, Thanh Trung Ngo, Anindya Das Antar, Masud Ahmed, Tahera Hossain, Daigo Muramatsu, Yasushi Makihara, Sozo Inoue, Yasushi Yagi, "Wearable Sensor-Based Gait Analysis for Age and Gender Estimation," Sensors, 2020.
Conference Paper
Zahid Hasan, Masud Ahmed, Abu Zaher Md Faridee, Sanjay Purushotham, Heesung Kwon, Hyungtae Lee, Nirmalya Roy, "NEV-NCD: Negative Learning, Entropy, and Variance regularization based novel action categories discovery," 2023 IEEE International Conference on Image Processing (ICIP), 2023.
Masud Ahmed, Zahid Hasan, Tim Yingling, Eric O’Leary, Sanjay Purushotham, Suya You, Nirmalya Roy, "An Online Continuous Semantic Segmentation Framework With Minimal Labeling Efforts," 2023 IEEE International Conference on Smart Computing (SMARTCOMP), 2023.
Zahid Hasan, Abu Zaher Md Faridee, Masud Ahmed, Shibi Ayyanar, Nirmalya Roy, "SrPPG: Semi-Supervised Adversarial Learning for Remote Photoplethysmography with Noisy Data," 2023 IEEE International Conference on Smart Computing (SMARTCOMP), 2023.
Zahid Hasan, Abu Zaher Md Faridee, Masud Ahmed, Nirmalya Roy, "Self-rPPG: Learning the Optical & Physiological Mechanics of Remote Photoplethysmography with Self-Supervision," 2022 IEEE/ACM Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE), 2022.
Masud Ahmed, Zahid Hasan, Naima Khan, Nirmalya Roy, Sanjay Purushotham, Aryya Gangopadhyay, Suya You, "Benchmarking domain adaptation for semantic segmentation," SPIE Defense + Commercial Sensing, Unmanned Systems Technology XXIV, 2022.
Masud Ahmed, Naima Khan, Pretom Roy Ovi, Nirmalya Roy, Sanjay Purushotham, Aryya Gangopadhyay, Suya You, "GADAN: Generative Adversarial Domain Adaptation Network For Debris Detection Using Drone," 2022 18th International Conference on Distributed Computing in Sensor Systems (DCOSS), 2022.
Naima Khan, Masud Ahmed, Nirmalya Roy, "Temporal Clustering Based Thermal Condition Monitoring in Building," Sustainable Computing: Informatics and Systems, 2020. (Best paper award)
Masud Ahmed, Anindya Das Antar, Tahera Hossain, Sozo Inoue, Md Atiqur Rahman Ahad, "POIDEN: position and orientation independent deep ensemble network for the classification of locomotion and transportation modes," UbiComp'19: Proceedings of the 2019 ACM International Joint Conference and 2019 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, ACM, 2019.
Anindya Das Antar, Masud Ahmed, Mohammad Shadman Ishrak, Md Atiqur Rahman Ahad, "A comparative approach to classification of locomotion and transportation modes using smartphone sensor data," UbiComp'18: Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, ACM, 2018.
Thanh Trung Ngo, Md Atiqur Rahman Ahad, Anindya Das Antar, Masud Ahmed, Daigo Muramatsu, Yasushi Makihara, Yasushi Yagi, Sozo Inoue, Tahera Hossain, Yuichi Hattori, "OU-ISIR wearable sensor-based gait challenge: Age and gender," International Conference on Biometrics (ICB), Greece, 2019.
Masud Ahmed, Anindya Das Antar, Md Atiqur Rahman Ahad, "An Approach to Classify Activities of Daily Living in real-time from Smartphone Sensor Data," International Conference on Activity and Behavior Computing Conference (ABC), USA, 2019.
Anindya Das Antar, Masud Ahmed, Md Atiqur Rahman Ahad, "Challenges in Sensor-based Human Activity Recognition and a Comparative Analysis of Benchmark Datasets: A Review," International Conference on Activity and Behavior Computing Conference (ABC), USA, 2019.
Kanij Mehtanin Khabir, Md Sadman Siraj, Masud Ahmed, Mosabber Uddin Ahmed, "Prediction of Gender and Age from Inertial Sensor-based Gait Dataset," International Conference on Informatics, Electronics & Vision (ICIEV), USA, 2019.
arXiv Preprint Paper
Zahid Hasan, Abu Zaher Md Faridee, Masud Ahmed, Sanjay Purushotham, Heesung Kwon, Hyungtae Lee, Nirmalya Roy, "Novel Categories Discovery from probability matrix perspective," 2023.
Work & Research Experiences
Center for Real-time Distributed Sensing and Autonomy, University of Maryland Baltimore County
[July 2021 - Present]Working as a graduate research assistant. In this research center I am working with robotics. My project is to virtual reality multi robot collboration network.
MPSC Lab, Department of Information Systems, University of Maryland Baltimore County
[January 2020 - Present]Working as a graduate research assistant. My research topic in this lab is related to computer vision and machine learning. I am working with RGB and Lidar data.
Yagi Laboratory, Department of Intelligent Media, ISIR, Osaka University
[October 2018 - November 2018 & February 2019 - October 2019]Worked as an assistant researcher. I was involved in three projects, RGB-D camera-based human activity recognition, autonomous health monitoring system design for elderly home, and camera-based artificial running monitoring system.
Joykoly Publication Ltd.
[February 2018 - July 2018]Worked as a content writer and website developer. This company publishes supplementary books for several public exams in Bangladesh.
Fab Lab, University of Dhaka
[August 2018 - September 2018]Worked as a supervisor for two projects in this lab. It was a voluntary job.
Sakura Science Program, Osaka Prefecture University
[December 2018]Was invited to this program, so that I could do a collaborative project with researchers from two other countries.
Additional Information
Global Competition Awards
UMBC 3 Minute Thesis People's Choice
5 April 2022
UMBC, Maryland, USA
SHL Challenge 2018
12 October 2018
ACM UbiComp’18, Singapore
TechKriti 2017
23 March 2017- 26 March 2017
IIT Kanpur, India
NASA Space App Challenge 2017
2 May 2017 - 3 March 2017
IUB, Bangladesh
Community Involvement
Skills
Contact
- mahmed10@umbc.edu
- 1000 Hilltop Circle, ITE 457, Baltimore, 21250, USA
- Click here to send message via google form