Dr Saifur Rahman

STAFF PROFILE

Position

Associate Research Fellow

Faculty

Faculty of Sci Eng & Built Env

Department

School of Info Technology

Campus

Melbourne Burwood Campus

Qualifications

Doctor of Philosophy, Deakin University, 2024
Master of Science in Engineering, Kongju National University, 2018

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 profile

Research 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

Filter by

2024

Analysing Performances of DL-Based ECG Noise Classification Models Deployed in Memory-Constraint IoT-Enabled Devices

Saifur Rahman, Shantanu Pal, John Yearwood, Chandan Karmakar

(2024), pp. 1-11, IEEE Transactions on Consumer Electronics, Piscataway, N.J., C1

journal article

The Impact of Simultaneous Adversarial Attacks on Robustness of Medical Image Analysis

Shantanu Pal, Saifur Rahman, Maedeh Beheshti, Ahsan Habib, Zahra Jadidi, Chandan Karmakar

(2024), pp. 1-17, IEEE Access, Piscataway, N.J., C1-1

journal article

SYN-GAN: A robust intrusion detection system using GAN-based synthetic data for IoT security

S Rahman, S Pal, S Mittal, T Chawla, C Karmakar

(2024), Vol. 26, Internet of Things (Netherlands), C1

journal article

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

conference

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

conference
2023

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

journal article

A Comprehensive Review on Machine Learning in Healthcare Industry: Classification, Restrictions, Opportunities and Challenges

Q An, S Rahman, J Zhou, J Kang

(2023), Vol. 23, pp. 1-21, Sensors, Basel, Switzerland, C1

journal article

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

journal article

Impact of synthetic noise signature and physiologic ECG signal on designing ML-based ECG noise detection framework

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

conference

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

conference
2022

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

journal article

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

journal article
2020

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

conference
2018

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

journal article

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

conference
2017

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

journal article

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

journal article

Analysis of run time of li-polymer secondary cell with or without flyback converter active balancing BMS

Y Kim, M Rahman, C Choi, S Kim, S Ko

(2017), Vol. 12, pp. 3009-3014, International Journal of Applied Engineering Research, C1-1

journal article

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

journal article

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

conference
2016

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

conference

Funded Projects at Deakin

No Funded Projects at Deakin found

Supervisions

No completed student supervisions to report