JH Rony

Jahid Hasan Rony

AI Research Aficionado

Center for Industrial Automation Robotics & Internet of Things

About Me

Jahid Hasan Rony is a reseracher at Independent University, Bangladesh, specializing in computer vision, machine learning, and the AI. He is actively involved in the Dental and AqUAVPlant project, where he contributes to UAV-based semantic segmentation of aquatic plants and Dental Dataset complex segmentation task. His research interests span AI, robotics, and industrial automation, and he has contributed to various national and international competitions, securing top positions.

View CV

Interests

Artificial Intelligence
Computer Vision
Robotics

Education

BSc in Computer Science and Engineering
Dhaka University of Engineering & Technology (DUET)

Research

For the latest updates, please visit my 📚 Google Scholar page.

My research interests include Computer Vision and Robotics. I have bit of experience in Deep Learning, Machine Learning, XAI. Most recently working on Semantic Segmentation and actively seeking a PhD opportunity 🎓

Md Abrar Istiak, Razib Hayat Khan, Jahid Hasan Rony, MM Mahbubul Syeed, M Ashrafuzzaman, Md Rajaul Karim, Md Shakhawat Hossain, Mohammad Faisal Uddin (2024). AqUavplant Dataset: A High-Resolution Aquatic Plant Classification and Segmentation Image Dataset Using UAV. Scientific Data.

Cite Code Dataset 📕 Q1 Journal

Jahid Hasan Rony, MM Mahbubul Syeed, Razib Hayat Khan, Kaniz Fatema, Md Shakhawat Hossain, Mohammad Faisal Uddin (2024). Predicting Depression Among University Students: a Comparative Assessment of ML & DL models using XAI. 2024 23rd International Symposium on Communications and Information Technologies (ISCIT).

PDF Cite 📕 Rank-B Conf.

Shakila Rahman, Jahid Hasan Rony, Jia Uddin, Md Abdus Samad (2024). Real-time obstacle detection with YOLOv8 in a WSN using UAV aerial photography. Journal of Imaging.

PDF Cite 📕 Q1 Journal

Jahid Hasan Rony, Nazmul Karim, MD Abdur Rouf, Sabah Binte Noor, Fazlul Hasan Siddiqui (2024). Mosquito Species Classification through Wingbeat Analysis: A Hybrid Machine Learning Approach. 2023 International Conference on Next-Generation Computing, IoT and Machine Learning (NCIM).

Cite

Jahid Hasan Rony, Nazmul Karim, MD Abdur Rouf, Md Monirul Islam, Jia Uddin, Momotaz Begum (2024). A cost-effective IoT model for a smart sewerage management system using sensors. MDPI_J.

Cite

See all publications

Media Coverage