Md Abu Sayeed

Machine Learning, Internet of Things (IoT), Biomedical Signal Processing, and Embedded Systems

Current Student (MS Project)
1. Harshil Patel
2. Bathini Shravan Kumar
3. Sunil Virendra Gupta
4. Yash Rajendra Ambetkar

Past Student (MS Project)
1. Pranay Saha (2nd Place in 3MT Thesis Competition, ECE Stevens - 2024)

I received my Ph.D. in Computer Science and Engineering from the University of North Texas in December 2019. I then worked as an assistant professor at Eastern New Mexico University for three and half years. My teaching areas include computer organization and architecture, data structure and algorithms, digital circuits and systems, reconfigurable logic, and embedded systems. My research expertise is embedded systems, Internet of Things, machine learning, VLSI, and smart healthcare. I am the recipient of the 2018 IEEE Metrocon Best Poster Award. I am a technical program committee member of the IEEE International Symposium on Smart Electronic Systems, the International Internet of Things Conference, and the International Conference on Information Technology. My office is located at Burchard 307B.

September 2023- Current
Teaching Assistant Professor, Dept. of Electrical & Computer Engineering
Stevens Institute of Technology, Hoboken, NJ

January 2020- July 2023
Assistant Professor, Department of Mathematical Sciences
Eastern New Mexico University, Portales, NM

August 2016- December 2019
Teaching Assistant, Dept. of Computer Science and Engineering University of North Texas, Denton, TX

​January 2016- August 2016
Instructional Assistant, Dept. of Computer Science and Engineering
University of North Texas, Denton, TX

Tolouse Graduate School’s Dean’s Top Prospect Award in the summer 2016 ($5000)
Best Student Poster Award, IEEE MetroCon 2018 (First Prize with a cash prize of $1000)

Journal Publications
1. M. A. Sayeed, F. Nasrin, S. P. Mohanty, and E. Kougianos, “eSeiz 2.0: An Optimized Pulse Exclusion Mechanism for Accurate and Energy Efficient Seizure Detection in the IoMT”, Springer Nature Computer Science (SN-CS), Vol. 5, No. 165, 2024

2. M. A. Sayeed, S. P. Mohanty, and E. Kougianos, “rSeiz 2.0: A Low Latency and Energy Efficient Seizure Detector in the IoMT”, Springer Nature Computer Science (SN-CS), Vol. 4, No. 5, Sep 2023

3. M. A. Sayeed, S. P. Mohanty, E. Kougianos, and H. Zaveri, “eSeiz: An Edge-Device for Accurate Seizure Detection for Smart Healthcare”, IEEE Transactions on Consumer Electronics (TCE), Volume 65, Issue 3, August 2019, pp. 379--387.

4. M. A. Sayeed, S. P. Mohanty, E. Kougianos, and H. Zaveri, “Neuro-Detect: A Machine Learning Based Fast and Accurate Seizure Detection System in the IoMT”, IEEE Transactions on Consumer Electronics (TCE), Volume 65, Issue 3, August 2019, pp. 359--368.

5. M. A. Sayeed, S. P. Mohanty, and E. Kougianos, “cSeiz: An Edge-Device for Accurate Seizure Detection and Control for Smart Healthcare”, arXiv Electrical Engineering and Systems Science, arXiv:1908.08130, August 2019, 24-pages.

Conference Publications
1. M. A. Sayeed and P. Carr, "An Accurate and Low-power Sleep Apnea Detector in the Edge-IoT Platform," 2023 IEEE International Conference on Artificial Intelligence, Blockchain, and Internet of Things (AIBThings), Mount Pleasant, MI, USA, 2023

2. M. A. Sayeed and F. Nasrin, "An Edge-computing Platform for Low-Latency and Low-power Wearable Medical Devices for Epilepsy," 2023 IEEE Texas Symposium on Wireless and Microwave Circuits and Systems (WMCS), Waco, TX ,2023

3. M. A. Sayeed and A. Shahed, "iDDS 2.0: An IoT-enabled Energy Efficient and Fast Drug Delivery System for Epilepsy," in Proceedings of the 41^st IEEE International Conference on Consumer Electronics (ICCE), 2023.

4. M.A. Sayeed, F. Nasrin, S. P. Mohanty, and E. Kougianos “eSeiz 2.0: An IoMT Framework for Accurate Low-Latency Seizure Detection using Pulse Exclusion Mechanism”, OITS International Conference on Information Technology – (OCIT), 2022.

5. M. A. Sayeed, S. P. Mohanty, E. Kougianos, and H. Zaveri “iDDS: An Edge-Device in IoMT for Automatic Seizure Control using On-Time Drug Delivery", in Proceedings of the 38th IEEE International Conference on Consumer Electronics (ICCE), 2020.

6. S. P. Mohanty, E. Kougianos, and M. A. Sayeed, “Smart-Steering: An IoMT-Device to Monitor Blood Alcohol Concentration using Physiological Signals”, in Proceedings of the 38th IEEE International Conference on Consumer Electronics (ICCE), 2020.

7. M. A. Sayeed, S. P. Mohanty, E. Kougianos, and H. Zaveri, "An IoT-based Drug Delivery System for Refractory Epilepsy", in Proceedings of the 37th IEEE International Conference on Consumer Electronics (ICCE), 2019.
8. M. A. Sayeed, S. P. Mohanty, E. Kougianos, and L. Rachakonda,, “RSeiz: A Channel Selection based Approach for Rapid Seizure Detection in the IoMT”, in Proceedings of the 5th IEEE International Symposium on Smart Electronic Systems (iSES), 2019.

9. M. A. Sayeed, S. P. Mohanty, E. Kougianos, and H. Zaveri, “A Fast and Accurate Approach for Real-Time Seizure Detection in the IoMT”, in Proceedings of the 4th IEEE International Smart Cities Conference (ISC2), 2018.

10. M. A. Sayeed, S. P. Mohanty, E. Kougianos, and H. Zaveri, “An Energy Efficient Epileptic Seizure Detector”, in Proceedings of the 36th IEEE International Conference on Consumer Electronics (ICCE), 2018.

11. M. A. Sayeed, S. P. Mohanty, E. Kougianos, V. P. Yanambaka, and H. P. Zaveri, “A Robust and Fast Seizure Detector for IoT Edge”, in Proceedings of the 4th IEEE International Symposium on Smart Electronic Systems (iSES), 2018.

Stevens Institute of Technology
CPE 360: Computational Data Structures & Algorithms
CPE 517: Digital & Computer System Architecture
EE 552: Engineering Programming: Java
CPE 593: Applied Data Structures & Algorithms

Eastern New Mexico University
CS-EET 122: Programming Fundamentals C/C++
CS-123: Computer Science I
EET 241: Logic Circuits
EET 340: Computer organization and architecture
EET 343: Advanced Digital Design
EET 472: Introduction to Embedded Systems