Md. Habib Ehsanul Hoque
Asst. Professor & Head
| M.Sc. in Computer Science & Engineering (CSE), University of Rajshahi |
| B.Sc. in Computer Science & Engineering (CSE), University of Rajshahi |
| Asst. Professor Pundra University of Science & Technology (2019-Till Now) |
| Lecturer Pundra University of Science & Technology (2015-2019) |
| 1. Md. Habib Ehsanul Hoque, Mrittika Mahbub, Mohd Razali Bin Md Tomari, Rezaul Bashar, Dipankar Das, Md. Golam Rashed “Real-time Detection of Diverse Bangladeshi Traffic Signs Using YOLOv8” Conference: 2024 IEEE International Conference on Future Machine Learning and Data Science (FMLDS2024) Sydney, Australia.https://www.researchgate.net/publication/386170240_Real_time_Detection_of_Diverse_Bangladeshi_Traffic_Signs_Using_YOLOv8 |
| 2. Mrittika Mahbub, Md. Habib Ehsanul Hoque, Mst. Rehena Khatun "Smart Farming in Bangladesh: Mobile Application for Tomato Leaf Disease Detection Using a Hybrid VGG16-CNN Model",IJLTEMAS|ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XIII, Issue XII, December 2024 |
| 3. Mrittika Mahbub, Md. Habib Ehsanul Hoque (2024) “Optimizing YOLOv10 for Real-Time Traffic Sign Detection and Recognition: A Bangladeshi Perspective” IJARCCE || ISSN (O) 2278-1021|| © January 2025, Volume 14, Issue 1|| DOI: 10.17148/IJARCCE.2025.14101 |
| 4. Md. HabibEhsanulHoque,"Arrhythmia Classification From 1Dand 2D Discrete Cosine Transforms On ECG Signals",IOSR-JDMS| Volume-17|Issue-3|March-2018|DOI:10.9790/0853-1703097999 |
| 5. Md. HabibEhsanulHoque,"A Comparative Study on Features and Classification Techniques in Real Time Sleep Onset Detection",IOSR-JCE|Volume-22|Issue-2|Mar|apr 2020|DOI: 10.9790/0661-2202013547 |
| 6. Md. Shizer Rahman, Md. Shoaib Akther,Md. Habib Ehsanul Hoque "Comparison of Different Pitch Controller In Wind Farm For Integrated Power System",(AJER) e-ISSN: 2320-0847 p-ISSN : 2320-0936 Volume-7, Issue-3, pp-288-299 |
| 7. Md. Shoaib Akther,Md. Habib Ehsanul Hoque, Md. Shizer Rahman, Sarafat Hussain Abhi,"Design of an Optical Ring Resonator Using Chalcogenide Based PHC of Single Input and Double Output Decoder with Low Back Propagation "|ISSN (Print): 2328-3491, ISSN (Online): 2328-3580, ISSN (CD-ROM): 2328-3629 |
| This research investigates state-of-the-art machine learning and deep learning methods to advance computer vision tasks such as object detection, image classification, and segmentation. By harnessing advanced AI models, we strive to expand the frontiers of visual recognition technology. |
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