Biography
Md Saifur Rahman is an associate research fellow at Deakin University. He completed his PhD in AI-based physiological signal analysis from Deakin University in 2023. Bridging academia and industry collabration, he specializes in artificial intelligence and operations research, crafting innovative techniques applied in critical sectors like health, cyber security, and IoMT. His work resonates at the nexus of cutting-edge research and practical application, aiming to drive advancements and solutions in these pivotal domains.
Read more on Saifur's profileResearch interests
- Time series analysis
- Physiological signal
- Classical machine learning
- Feature engineering
- Signal processing
- Wearable device designing
- Deep learning
- Pattern recognition
- Android and computer software development
- PCB designing
Teaching interests
- Data Science
- Machine Learning
- Deep Learning
- Embed Programming
Publications
Saifur Rahman, Shantanu Pal, John Yearwood, Chandan Karmakar
(2024), pp. 1-11, IEEE Transactions on Consumer Electronics, Piscataway, N.J., C1
A Robust Feature Integration for Multiclass Metamorphic Malware Detection in IoT Network
Tisha Chawla, Saifur Rahman, Shantanu Pal, Chandan Karmakar
(2024), pp. 412-414, COMSNETS 2024 : Proceedings of the 2024 16th International Conference on COMmunication Systems & NETworkS, Bengaluru, India, E1
A Prognostic Framework for Post-Operative Patient Survival Prediction in IoMT
Shubh Mittal, Saifur Rahman, Shantanu Pal, Chandan Karmakar
(2024), pp. 415-417, COMSNETS 2024 : Proceedings of the 16th International Conference on COMmunication Systems & NETworkS, Bengaluru, India, E1
An IoT-Enabled Ground Loop Detection System: Design, Implementation and Testing
M Rahman, M Uddin, S Kim
(2023), Vol. 32, Journal of Circuits, Systems and Computers, C1-1
Q An, S Rahman, J Zhou, J Kang
(2023), Vol. 23, pp. 1-21, Sensors, Basel, Switzerland, C1
Measurement of stress-induced sympathetic nervous activity using multi-wavelength PPG
Radhagayathri Udhayakumar, Saifur Rahman, Dilpreet Buxi, Vaughan Macefield, Tye Dawood, Nicholas Mellor, Chandan Karmakar
(2023), Vol. 10, pp. 1-17, Royal Society Open Science, London, Eng., C1
Saifur Rahman, Ahsan Habib, Chandan Karmakar, John Yearwood
(2023), pp. 1-4, EMBC 2023 : Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, Sydney, Australia, E1
Nonlinear Features from Multi-Modal Signals for Continuous Stress Monitoring
Radhagayathri Udhayakumar, Saifur Rahman, Shivapratap Gopakumar, Chandan Karmakar
(2023), pp. 1-4, EMBC 2023 : Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, Sydney, Australia, E1
Robustness of electrocardiogram signal quality indices
S Rahman, C Karmakar, I Natgunanathan, J Yearwood, M Palaniswami
(2022), Vol. 19, pp. 1-15, Journal of the Royal Society Interface, London, Eng., C1
A Real-Time Tunable ECG Noise-Aware System for IoT-Enabled Devices
S Rahman, C Karmakar, J Yearwood, M Palaniswami
(2022), Vol. 22, pp. 23277-23285, IEEE Sensors Journal, C1
Deep Learning-based Predictive Caching in the Edge of a Network
Saidur Rahman, Md Alam, Md Rahman
(2020), pp. 797-801, ICOIN 2020 : Proceedings of the 34th International Conference on Information Networking, Barcelona, Spain, E1-1
A Simple and Robustness Algorithm for ECG R- peak Detection
Md Rahman, ChulhyungChoi, Young-pil Kim, Sikyung Kim
(2018), Vol. 13, pp. 2080-2085, Journal of Electrical Engineering and Technology, Seoul, South Korea, C1-1
Internet of Things for locating ground loop in a complex situation
Md Rahman, Young-pil Kim, Sikyung Kim
(2018), pp. 197-200, IEEE CPMT 2018 : Proceedings of the IEEE CPMT (ICSJ) 2018 Symposium, KYOTO, JAPAN, E1-1
Adaptive Filter Design for Eliminating Baseline Wandering Noise of Electrocardiogram
Chul-Hyung Choi, M Rahman, Si-Kyung Kim, In-Deok Park, Young-Pil Kim
(2017), Vol. 15, pp. 157-164, The Journal of Korean Institute of Information Technology, Daejeon, Republic of Korea, C1-1
Automatic 3D wig generation method using FFD and robotic arm
M Rahman, C Choi, Y Kim, S Kim
(2017), Vol. 12, pp. 2104-2108, International Journal of Applied Engineering Research, New Delhi, Delhi, India, C1-1
Y Kim, M Rahman, C Choi, S Kim, S Ko
(2017), Vol. 12, pp. 3009-3014, International Journal of Applied Engineering Research, C1-1
Design of a mobile maternal ECG measurement system with fetal ECG extraction features
C Choi, M Rahman, Y Kim, S Kim
(2017), Vol. 12, pp. 2087-2090, International Journal of Applied Engineering Research, C1-1
A comprehensive Adaptive filter to eliminate baseline wander from ECG Signals
Md Rahman, Chulhyung Choi, Young-pil Kim, Sikyung Kim
(2017), pp. 43-48, 2017 INTERNATIONAL CONFERENCE ON INFORMATION AND COMMUNICATION TECHNOLOGY CONVERGENCE (ICTC), SOUTH KOREA, E1-1
A comprehensive algorithm to enable wireless communication between device to device
U Zakia, M Rahman, S Kamal, T Farzam, F Chowdhury
(2016), 7th IEEE Annual Information Technology, Electronics and Mobile Communication Conference, IEEE IEMCON 2016, E1-1
Funded Projects at Deakin
No Funded Projects at Deakin found
Supervisions
No completed student supervisions to report