Emon Dey

Postdoctoral Appointee at Argonne National Laboratory
9700 S Cass Ave, Lemont, IL 60439

edey [at] anl [dot] gov
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About

I am working as a Postdoctoral Appointee at the Argonne National Laboratory. I received my PhD. in Computer Information Systems from the University of Maryland, Baltimore County (UMBC). I completed my tenure as a Research Assistant at the Center for Real-time Distributed Sensing and Autonomy (CARDS). I was also affiliated with Mobile, Pervasive, and Sensor Computing (MPSC) Lab and advised by Dr. Nirmalya Roy. My research interests mainly focus on the area of Artificial Intelligence and Robotics, particularly on developing deep model compression algorithms, robust communication protocols for Federated Learning, and building packages on Robot Operating Systems (ROS).

I received my M.S. degree in Information Systems from UMBC in 2022. Before that, I received my Bachelor's degree in Electrical and Electronic Engineering from Chittagong University of Engineering & Technology. My thesis Supervisor was Sharmin Majumder and I have worked on developing a novel Image Watermarking algorithm.

News

2025/04: Joined Argonne National Laboratory as a Postdoctoral Appointee.
2025/04: Our recent collaborative work “A Survey on Efficient Vision-Language Models” got accepted in "Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery" (Impact factor: 11.7). Check it out in here.
2025/04: “E2RespUNet” accepted at IEEE SMARTCOMP'25. Contributed in developing the system prototype of the proposed Respiratory Signal Reconstruction framework.
2025/03: Paper accepted at IEEE DCOSS-IoT'25 on Multimodal Cooperative Perception and Task Execution. Happy to be a part of the CoOpTex team.
2025/03: I served as a student volunteer at the IEEE PerCom'25 held in Washington, DC.
2025/01: “TAVIC-DAS” accepted at PerconAI workshop, co-located with IEEE PerCom'25.
2024/11: Paper accepted at ACM COMSNETS'25 on adaptive compression and flow control.
2023/08: Demonstrated remote robotics experimentation on Class Incremental Federated Learning at Graces Quarters under ArtiAMAS project. Check out the details here.
2023/04: Paper accepted at IEEE MASS'23 on addressing asymmetry in Collaborative Autonomous Systems.
2023/04: Paper accepted at ICCCN'23 on developing a novel ROS2 QoS policy.
2023/04: Paper accepted at Smartcomp'23 on domain adaptibility of a mmWave radar.
2023/03: Paper accepted at FedVision'23, in conjunction with CVPR'2023.
2023/02: Our research got featured on CBS News, Baltimore.
2023/02: Presented my work and sucessfully demonstrated the Remote Robotics Experimentation at ArtIAMAS Winter Meeting.
2022/12: I have successfully defended my Ph.D. proposal.
2022/08: Successfully demonstrated a search and rescue-based remote experimentation using ARL Distributed Virtual Probing Ground (DVPG).
2022/06: “RhythmEdge” won best paper award at SMARTCOMP 2022. Happy to be a part of this work.
2022/06: Paper on Multi-modal Federated Learning won best paper award at SPIE 2022. A contented collaborator, indeed.
2022/05: “SynchroSim” accepted at IEEE DCOSS 2022.
2022/04: Received audience choice award at the Work-in-progress track of IS Research Symposium.

Current Research

My research focuses on designing and optimizing scalable training architectures for large-scale Vision Transformer models on High-Performance Computing (HPC) infrastructures, with applications spanning coherent X-ray imaging and smart power grid analytics. Also, I am developing an intelligent scheduling algorithm to improve the communication efficiency of Asynchronous FL. During my PhD. I have developed a viable algorithm to make the data communication protocol robust for Federated Learning (FL) scenario under a contested environment. To be specific, the proposed algorithm is useful in reducing the packet loss due to the higher velocity difference among agents participating in building the FL model.

Education

Doctor of Philosophy (Ph.D.) in Information Systems, UMBC, August 2019 - April 2025
Master of Science (M.S.) in Information Systems, UMBC, August 2019 - May 2022
Bachelor of Science (B.Sc.) in Electrical and Electronic Engineering, Chittagong University of Engineering and Technology, July 2013 - October 2017

Publications

Under Review

SERN: Simulation-Enhanced Realistic Navigation for Multi-Agent Robotic Systems in Contested Environments
Jumman Hossain, Emon Dey, Snehalraj Chugh, Masud Ahmed, MS Anwar, Abu-Zaher Faridee, Jason Hoppes,
Theron Trout, Anjon Basak, Rafidh Chowdhury, Rishabh Mistry, Hyun Kim, Jade Freeman, Niranjan Suri, Adrienne Raglin,
Carl Busart, Timothy Gregory, Anuradha Ravi, Nirmalya Roy
Fed-AWQS: Adaptive Weight Scaling and Quantization for Pervasive Federated Learning with Non-IID Data
Emon Dey, Anuradha Ravi, Gaurav Shinde, Garvit Chugh, Archan Misra, Nirmalya Roy

Under Preparation

FedRhythmEdge: Federated Learning based Contactless Heart Rate Estimation on the Edge
Emon Dey, Zahid Hasan, Sukriti Roy, Nirmalya Roy
Adaptive Transformer-Based Compressive Sensing for Communication-Efficient Federated Learning
Emon Dey, Anuradha Ravi, Vinay Krishna Kumar, Jared Lewis, Jade Freeman, Timothy Gregory, Niranjan Suri, Carl Busart, and Nirmalya Roy

Published Works

Journals

A Survey on Efficient Vision-Language Models
Gairav Shinde, Anuradha Ravi, Emon Dey, Milind Rampure, and Nirmalya Roy
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 2025.
MobHeteroCAS: Mobility-Aware DNN Task Scheduling in Heterogeneous Collaborative Autonomous System
Mohammad Saeid Anwar, Anuradha Ravi, Emon Dey, Indrajeet Ghosh, Masud Ahmed, Nirmalya Roy
ACM Transactions on Autonomous and Adaptive Systems, 2025.

Conference Proceedings

CoOpTex: Multimodal Cooperative Perception and Task Execution in Time-critical Distributed Autonomous system
Mohammad Saeid Anwar, Anuradha Ravi, Emon Dey, Indrajeet Ghosh, Masud Ahmed, and Nirmalya Roy
The 21^st International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT 2025).
TAVIC-DAS: Task and Channel-Aware Variable-Rate Image Compression for Distributed Autonomous System
Gaurav Shinde, Anuradha Ravi, Emon Dey, Jared Lewis, and Nirmalya Roy
The 4^th IEEE Workshop on Pervasive and Resource-constrained Artificial Intelligence (PeRConAI), March 2025, co-located with IEEE PerCom 2025.
E2RespUNet: End-to-End Respiratory Signal Reconstruction and Rate Prediction Using an Unified Attention-Enhanced U-Net
Shadman Sakib, Gaurav Shinde, Emon Dey, and Nirmalya Roy
The 11^th IEEE International Conference on Smart Computing (SMARTCOMP) 2025.
DACC-Comm: DNN-Powered Adaptive Compression and Flow Control for Robust Communication in Network-Constrained Environment
Emon Dey, Anuradha Ravi, Jared Lewis, Vinay Krishna Kumar, Jade Freeman,
Timothy Gregory, Niranjan Suri, Carl Busart, Nirmalya Roy
The 17^th International Conference on COMmunication Systems & NETworkS (COMSNETS 25).
HeteroEdge: Addressing Asymmetry in Heterogeneous Collaborative Autonomous Systems [Paper]
Mohammad Saeid Anwar, Emon Dey, Maloy Kumar Devnath, Indrajeet Ghosh, Naima Khan, Jade Freeman,
Timothy Gregory, Niranjan Suri, Kasthuri Jayarajah, Sreenivasan Ramasamy Ramamurthy, Nirmalya Roy
The 20^th IEEE International Conference on Mobile Ad-Hoc and Smart Systems (MASS 2023).
A Novel ROS2 QoS Policy-enabled Synchronizing Middleware for Co-simulation of Heterogeneous Multi-Robot Systems [Paper]
Emon Dey, Mikolaj Walczak, Mohammad Saeid Anwar, Nirmalya Roy,
Jade Freeman, Timothy Gregory, Niranjan Suri, Carl Busart
The 32^nd International Conference on Computer Communications and Networks (ICCCN 2023).
A Systematic Study on Object Recognition Using Millimeter-wave Radar [Paper]
Maloy Kumar Devnath, Avijoy Chakma, Mohammad Saeid Anwar,
Emon Dey, Zahid Hasan, Marc Conn, Biplab Pal, Nirmalya Roy
9^th International Conference on Smart Computing (SMARTCOMP)'2023.
Mixed Quantization Enabled Federated Learning to Tackle Gradient Inversion Attacks [Paper]
Pretom Roy Ovi, Emon Dey, Nirmalya Roy, and Aryya Gangopadhyay
2^nd Workshop on Federated Learning for Computer Vision, in conjunction with CVPR'2023.
OMAD: On-Device Mental Anomaly Detection for Substance and Non-Substance Users [Paper]
Emon Dey and Nirmalya Roy
2020 IEEE 20^th International Conference on Bioinformatics and Bioengineering (BIBE).
A new approach to color image watermarking based on joint DWT-SVD domain in YIQ color space [Paper] [Code]
Emon Dey, Sharmin Majumder, and Arnab Neelim Mazumder
2017 3^rd International Conference on Electrical Information and Communication Technology (EICT).
SynchroSim: An Integrated Co-simulation Middleware for Heterogeneous Multi-robot System [Paper]
Emon Dey, Jumman Hossain, Nirmalya Roy, and Carl Busart
2022 18^th International Conference on Distributed Computing in Sensor Systems (DCOSS).
ARIS: A Real Time Edge Computed Accident Risk Inference System [Paper] [Code]
Pretom Roy Ovi*, Emon Dey*, Nirmalya Roy, and Aryya Gangopadhyay (* Equal Contribution)
2021 IEEE International Conference on Smart Computing (SMARTCOMP).
A Color Image Watermarking Scheme Employing the Features of Directive Contrast in the DWT-SVD Domain [Paper] [Code]
Arnab Neelim Mazumder, Emon Dey, and Sharmin Majumder
2019 IEEE 5^th International Conference for Convergence in Technology (I2CT).
RhythmEdge: Enabling Contactless Heart Rate Estimation on the Edge [Best Paper Award] [Paper]
Zahid Hasan, Emon Dey, Sreenivasan Ramasamy Ramamurthy, Nirmalya Roy, and Archan Misra
2022 IEEE International Conference on Smart Computing (SMARTCOMP).
Towards developing a data security aware federated training framework in multi-modal contested environments [Best Paper Award] [Paper] [Code]
Pretom Roy Ovi, Emon Dey, Nirmalya Roy, Aryya Gangopadhyay, and Robert F. Erbacher
Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications IV.
Demo: RhythmEdge: Enabling Contactless Heart Rate Estimation on the Edge [Paper] [Code]
Zahid Hasan, Emon Dey, Sreenivasan Ramasamy Ramamurthy, Nirmalya Roy, and Archan Misra
2022 IEEE International Conference on Smart Computing (SMARTCOMP).

Skills

Programming Languages: C, MATLAB, Python, R
High Performance Computing Tool: MPI, DeepSpeed
Simulation Software: Gazebo, Unity, NS-3, WinterSim, WEKA, Tableau, AutoCAD, Candence
Deep Learning Framework: Keras, Pytorch, TensorFlow
Specialized Tools: TFF, PySyft, TF-Lite, ONNX, Q-Keras, Robot Operating Systems (ROS)
Hardware Proficiency: Raspberry Pi, Jetson Nano, Google Coral Dev Board, Intel NCS2, Arduino
Others: Shell Scripting, Git, Ubuntu, Docker, Raspbian, MikroC

Research Experience

Postdoctoral Appointee, Argonne National Lab, April 2025 - Present
Graduate Research Assistant, Center for Real-time Distributed Sensing and Autonomy (CARDS), UMBC, August 2021 - April 2025
Graduate Research Assistant, Mobile Pervasive and Sensor Computing (MPSC) Lab, UMBC, August 2019 - July 2020

Teaching Experience

Lecturer, Port City International University, September 2018 - July 2019
- EEE 463: High Voltage Engineering
- EEE 316: Machine Design
- EEE 320: Electrical Services Design
- EEE 465: Power System II
- BUS 217: Professional Ethics
- EEE 325: Digital Signal Processing I
Teaching Assistant, UMBC, August 2020 - May 2021
- IS425 : Decision Support Systems (Fall 2020)
- IS320 : Advanced Business Applications (Spring 2021)
Student Mentor, NSF-REU in Smart Computing and Communications, UMBC
- Project 1: Addressing Statistical Heterogeneity in Federated Learning for Sea Ship Datasets (Summer 2023)
- Project 2: Synchronizing Middleware for a Heterogeneous Multi-Robot System with Low Latency Co-Simulation (Summer 2022)
- Project 3: A Federated Learning Approach for Camera-based Contact-less Heart Rate Monitoring (Summer 2022)
- Project 4: A Resource-Efficient Quantized Federated Learning Model for Brain Tumor Segmentation (Summer 2021)

Awards

Best paper awards at IEEE SMARTCOMP'22 and SPIE'22 conferences.
Audience choice award at UMBC IS Research Symposium.
Achieved student travel grant for IEEE ICCCN'23, SPIE'22, DCOSS'22, and IEEE BIBE'20 conferences ($7125).

Media Coverage

Research on Remote Robotics Experimentation using the ARL facility named DVPG got featured on CBS News, Baltimore. Check out the news here.

Professional Activities

Registered Peer Reviewer
- Pervasive and Mobile Computing (PMC) journal
- ACM International Conference On Distributed Computing and Networking (ICDCN)
- IEEE Intelligent Environments (IE)
- International Conference on Big Data Computing, Applications and Technologies (BDCAT)
- Also reviewed papers from IEEE SMARTCOMP 2021, 2022, IEEE Chase 2021, 2022, IEEE PerCom, TIST Journal, REU Symposium, and WristSense workshop.
Student member of the Society of Photo-Optical Instrumentation Engineers (SPIE).
Presented my papers at multiple venues i.e., IEEE BIBE'20, IEEE SMARTCOMP'22, SPIE'22, IEEE ICCCN'23.