Md. Ariful Islam
(Assistant Professor)Department of Robotics and Mechatronics Engineering
Research Profile
Personal Website & CV
Social
Short Biography:
Md. Ariful Islam is an Assistant Professor in the Department of Robotics and Mechatronics Engineering at the University of Dhaka, Bangladesh. He completed his B.Sc and M.Sc in Electrical and Electronic Engineering from the same university. His research interests include Machine Learning, Deep Learning, Bio-robotics, Signal Processing, and Robotics in ...
Show more
| Degree Name | Group/Major Subject | Board/Institute | Country | Passing Year |
|---|---|---|---|---|
| Masters | Electrical & Electronic Engineering | University of Dhaka | Bangladesh | 2017 |
| Bachelor | Electrical & Electronic Engineering | University of Dhaka | Bangladesh | 2015 |
| Title | Organization | Location | From Date | To Date |
|---|---|---|---|---|
| Assistant Professor | Dept. of Robotics & Mechatronics Engineering, University of Dhaka | Dhaka | 30, Apr 2023 | Currently Working |
| Lecturer | Dept. of Robotics & Mechatronics Engineering, University of Dhaka | Dhaka, Bangladesh | 02, Oct 2019 | 29-04-2023 |
| Lecturer | Dept. of Information & Communication Technology, Comilla University | Cumilla, Bangladesh | 27, Feb 2019 | 30-09-2019 |
Research Interest
| Subject | Description | Research Interest (Goal, Target Indicator) |
|---|---|---|
| Embedded Systems |
|
|
| Machine Learning | ||
| Digital Signal Processing | ||
| Hybrid Electric Vehicle | ||
| Deep Learning |
Project/Research Supervision
| Level of Study | Title | Supervisor | Co-Supervisor(s) | Name of Student(s) | Area of Research | Current Completion |
|---|---|---|---|---|---|---|
| No project/research supervision is found | ||||||
Project/Research Work
| Subject | Project Name | Source of Fund | From Date | To Date | Collaboration |
|---|---|---|---|---|---|
| Project | Modelling of Hybrid Electric Vehicle for Low Emission | Dhaka University Centennial Research Grant | 01-07-2021 | 30-06-2022 | |
| Project | Unraveling Bacterial Resistance Patterns: Deep Learning Approaches for High Resolution Drug Target Profiling | University Grants Commission | 01-07-2021 | 30-06-2024 |
Invited Talk
| SL | Invited Talk |
|---|---|
| No invited talk is found | |
| SL | Collaboration & Membership Name | Type | Membership Year | Expire Year |
|---|---|---|---|---|
| No Collaboration & Membership is found | ||||
| Journal Article | |
|---|---|
| 1 |
Md. Ariful Islam and Mosa. Tania Alim Shampa : Precipitation prediction in Bangladesh using machine learning approaches,
International Journal of Hydrology Science and Technology (impact factor:1.86) , vol.18 , no.1 Inderscience , pp.23-56 , 2024
.
|
| 2 |
Md. Ariful Islam, Md. Ziaul Hasan Majumder, Md. Sohel Miah and Sumaia Jannaty : Precision healthcare: A deep dive into machine learning algorithms and feature selection strategies for accurate heart disease prediction,
Computers in Biology and Medicine (impact factor:7.7) , vol.176 , no.June 2024 Elsevier , 2024
.
|
| 3 |
Monisha Mushtary Uttsha, AKM Nadimul Haque, Tahsin Tariq Banna, Shamim Ahmed Deowan, Md. Ariful Islam and Hafiz Md Hasan Babu : Enhancing Agricultural Automation through Weather Invariant Soil Parameter Prediction Using Machine Learning,
Heliyon (impact factor:4) , vol.10 , no.7 Elsevier , 2024
.
|
| 4 |
Md. Ziaul Hasan Majumder, Mosa. Tania Alim Shampa, Md. Ariful Islam, Shamim Ahmed Deowan and Farhana Hafiz : Marine renewable energy harnessing for sustainable development in Bangladesh: A technological review,
Energy Reports (impact factor:5.2) , vol.11 , no.June 2024 Elsevier , pp.1342-1362 , 2024
.
|
| 5 |
Md. Ariful Islam, Md. Ziaul Hasan Majumder, Md. Alomgeer Hussein, Khondoker Murad Hossain and Md. Sohel Miah : A review of machine learning and deep learning algorithms for Parkinson's disease detection using handwriting and voice datasets,
Heliyon (impact factor:4) , vol.10 , no.3 Elsevier , 2024
.
|
| 6 |
Shifat E. Arman, Sayed Saminur Rahman, Niloy Irtisam, Shamim Ahmed Deowan, Md. Ariful Islam, Saadman Sakib and Mehedi Hasan : Intracranial Hemorrhage Classification from CT Scan Using Deep Learning and Bayesian Optimization,
IEEE Access (impact factor:3.476) , vol.11 IEEE , pp.83446-83460 , 2023
.
|
| 7 |
Md. Ariful Islam, Md Mehedi Hasan and Shamim Ahmed Deowan : Robot-Assisted Training for Children with Autism Spectrum Disorder: A Review,
Journal of Intelligent & Robotic Systems (impact factor:3.3) Springer , 2023
.
|
| 8 |
Pankaj Chandra Kar and Md. Ariful Islam : Design and performance analysis of a rectenna system for charging a mobile phone from ambient EM waves,
Heliyon (impact factor:4) , vol.9 , no.3 Elsevier , 2023
.
|
| 9 |
Md. Ariful Islam, Md. Ziaul Hasan Majumder and Md. Alomgeer Hussein : Chronic kidney disease prediction based on machine learning algorithms,
Journal of Pathology Informatics (impact factor:3.23) Elsevier , 2023
.
|
| 10 |
Khondoker Murad Hossain, Md. Ariful Islam, Shahera Hossain, Anton Nijholt and Md Atiqur Rahman Ahad : Status of deep learning for EEG-based brain–computer interface applications,
Frontiers in Computational Neuroscience (impact factor:3.387) , vol.16 Frontiers , pp.192 , 2023
.
|
| 11 |
Md Mehedi Hasan, Md Ariful Islam, Sejuti Rahman, Michael R Frater and John F Arnold : No-Reference Quality Assessment of Transmitted Stereoscopic Videos Based on Human Visual System,
Applied Sciences (impact factor:2.838) , vol.12 , no.19 MDPI , pp.10090 , 2022
.
|
| 12 |
Md. Ariful Islam and Mosa. Tania Alim Shampa : Convolutional Neural Network based Marine Cetaceans Detection around the Swatch of No Ground in the Bay of Bengal,
International Journal of Computing and Digital Systems (impact factor:1.01) , vol.12 , no.1 , pp.877-893 , 2022
.
|
| Award Type | Title | Year | Country | Description |
|---|---|---|---|---|
| National | NST Fellowship | 2017 | Bangladesh | |
| National | Junior Scolarship (Talent) | 2005 | Bangladesh |
Md. Ariful Islam
Assistant Professor
Department of Robotics and Mechatronics Engineering
Faculty of Engineering and Technology
Email: arif.rme@du.ac.bd
Phone: +8801677696189