About Me
ML • Healthcare AI • Data Science
I am a Computer Science & Engineering student passionate about Machine Learning, Healthcare AI, Data Science, and UI/UX Design.
With international academic exchange experience in Japan and involvement in research-driven projects, I enjoy building intelligent and human-centered solutions that create real-world impact.
Status: Ongoing Research / Journal Preparation
Research Area: Medical Image Segmentation • Transformer Networks • Healthcare AI
Affiliation: JUSST Program • Koizumi Laboratory, University of Electro-Communications, Japan
A hybrid Transformer-CNN architecture for accurate brain tumor segmentation in MRI scans using multi-scale feature learning and advanced medical image analysis techniques.
Authors: Rinvi Jaman Riti, Tawhid Ahmed Komol, Zhou Jiayi, Chen Peiji, Yu Nishiyama, Norihiro Koizumi, Yoshitaka Kumakura
Conference: 2025 International Conference on Electrical, Computer and Communication Engineering (ECCE)
Published: February 2025
Research Area: Machine Learning • Predictive Analytics • Public Health
DOI: 10.1109/ECCE64574.2025.11013910
A machine learning-based framework for predicting dengue risk zones using weather-driven environmental datasets and predictive modeling techniques.
Authors: Rinvi Jaman Riti, Most. Azmira Shekh, Mst. Ridita Ashraf, Md. Hasan Imam Bijoy
Conference: 2025 International Conference on Electrical, Computer and Communication Engineering (ECCE)
Published: February 2025
Research Area: Healthcare AI • Clinical Decision Support • Fuzzy Association Mining
DOI: 10.1109/ECCE64574.2025.11012974
A clinical decision support framework designed to predict heat stroke risk using fuzzy association mining techniques and healthcare-related environmental factors.
Authors: Abdullah Al Noman, Rinvi Jaman Riti, Md. Zahid Hasan, Md. Hasan Imam Bijoy
Conference: 2025 International Conference on Electrical, Computer and Communication Engineering (ECCE)
Published: February 2025
Research Area: Deep Learning • Computer Vision • Cultural Informatics
DOI: 10.1109/ECCE64574.2025.11013395
A deep learning-based image recognition system developed for identifying traditional art and craft items using computer vision techniques.
Authors: Tawhid Ahmed Komol, Rinvi Jaman Riti, Pulak Deb Nath, Shrabon Datta
Conference: 2025 International Conference on Electrical, Computer and Communication Engineering (ECCE)
Published: February 2025
Research Area: Deep Learning • Intelligent Transportation • Computer Vision
DOI: 10.1109/ECCE64574.2025.11013489
A deep learning-driven traffic sign detection and navigation system designed specifically for Bangladeshi road environments.
Authors: Tawhid Ahmed Komol, Rinvi Jaman Riti, Pulak Deb Nath, Abdullah Al Noman, et al.
Participated in intercultural language and communication activities during exchange studies in Japan.
Delivered a speech representing international exchange students at UEC, Tokyo.
Successfully completed Mt. Fuji summit climb during exchange program in Japan.