Md. Rifat Hossen
With over 1.5+ years of research experience in Deep Learning and Machine Learning, I specialize in Computer Vision, Speech and Facial Emotion Recognition, Precision Agriculture, and AI applications in healthcare. I am currently a 3rd year undergraduate student (2nd semester) in Information and Communication Engineering at Pabna University of Science and Technology. My academic journey is driven by a strong interest in artificial intelligence, machine learning, and intelligent systems. In addition to my research activities, my background in competitive programming on platforms such as LeetCode and Codeforces has strengthened my analytical thinking and problem-solving abilities.
Experience
- AI Research Assistant
- School of Researchers· Part-time
- Mar 2026 – Present*
- Research Assistant
- Dept. of ICE, Pabna University of Science and Technology · Part-time
- Dec 2024 – Present*
- Research Trainee
- Learnify Research Lab · Part-time
- Mar 2025 – Mar 2026
- Research Assistant
- CREDIT Lab, Department of EEE, Green University
- Jun 2025 – Dec 2025
Academic
- B.Sc. (Engineering) in ICE · Dept. of Information and Communication Engineering, Pabna University of Science and Technology, Pabna, Bangladesh.
- CGPA: 3.67 out of 4.00 (after 5 semesters; remaining 3 semesters)
- Higher Secondary School Certificate · Alamgir Monsur Memorial College (AMMC), Mymensingh · 2021
- GPA: 4.92 out of 5.00
- Secondary School Certificate · Shontospur High School (SHS), Fulbaria, Mymensingh · 2019
- GPA: 4.61 out of 5.00
Biography
Md. Rifat Hossen has over three years of research experience in Deep Learning and Machine Learning, specializing in Computer Vision tasks like image classification, transformation, and segmentation. He is currently studying for a Bachelor’s degree in Information and Communication Engineering (ICE) at Pabna University of Science and Technology (PUST), Bangladesh, and has kept an excellent academic record. His research interests include Computer Vision, Image Processing, Deep Learning, Machine Learning, and applied AI fields like Precision Agriculture and Healthcare, such as Speech and Facial Emotion Recognition. He is actively engaged in research projects and has contributed to academic publications for conferences and journals.
In 2024, he actively took part in idea showcasing programs, highlighting his innovation and problem-solving abilities. He has solved over 250 problems on LeetCode and more than 500 across various competitive programming platforms. Additionally, he participated in international conferences, where he also acted as a reviewer, gaining valuable experience in assessing academic research.
He has also participated in intra-university competitive programming contests, which enhanced his algorithmic and analytical abilities. Additionally, he received a financial grant from the Aspire Leadership Program, managed by Harvard Business School, to support his interests in entrepreneurship and leadership development.
His dedication to academics and extracurricular activities demonstrates a strong commitment to research excellence, leadership, and creating impactful AI solutions for real-world issues.
In 2024, he actively took part in idea showcasing programs, highlighting his innovation and problem-solving abilities. He has solved over 250 problems on LeetCode and more than 500 across various competitive programming platforms. Additionally, he participated in international conferences, where he also acted as a reviewer, gaining valuable experience in assessing academic research.
He has also participated in intra-university competitive programming contests, which enhanced his algorithmic and analytical abilities. Additionally, he received a financial grant from the Aspire Leadership Program, managed by Harvard Business School, to support his interests in entrepreneurship and leadership development.
His dedication to academics and extracurricular activities demonstrates a strong commitment to research excellence, leadership, and creating impactful AI solutions for real-world issues.