people

I am a researcher and PhD applicant in Computer Science, with a B.Sc. in Electrical and Computer Engineering from Rajshahi University of Engineering and Technology (RUET), Bangladesh, where I graduated 7th in my class with a CGPA of 3.79/4.00.

My research spans Medical Image Segmentation, Computer Vision, Natural Language Processing, Multimodal Learning, and Cybersecurity ML. My primary work, ED-Net, is a polyp segmentation model currently under review at Biomedical Signal Processing and Control (Elsevier Q1). I am also developing MetaSeg, a skin lesion segmentation framework that integrates patient demographic metadata via FiLM modulation, and investigating pragmatic feature loss in Bangla emotion recognition datasets. Additionally, I have worked on machine learning for cybersecurity, with a phishing detection ensemble accepted at ICCIT 2025 (IEEE), and on agricultural AI, with a tea leaf disease classification paper published in IEEE Xplore.

Beyond research, I serve as Chair of the IEEE RUET Signal Processing Society and Vice President of the Astronomy and Science Society of RUET.

I am actively seeking funded PhD positions for Fall 2027 in computer vision, medical image analysis, and NLP. Feel free to reach out via email or any of the links below.

I am a researcher and PhD applicant in Computer Science, with a B.Sc. in Electrical and Computer Engineering from Rajshahi University of Engineering and Technology (RUET), Bangladesh, where I graduated 7th in my class with a CGPA of 3.79/4.00.

My research spans Medical Image Segmentation, Computer Vision, Natural Language Processing, Multimodal Learning, and Cybersecurity ML. My primary work, ED-Net, is a polyp segmentation model currently under review at Biomedical Signal Processing and Control (Elsevier Q1). I am also developing MetaSeg, a skin lesion segmentation framework that integrates patient demographic metadata via FiLM modulation, and investigating pragmatic feature loss in Bangla emotion recognition datasets. Additionally, I have worked on machine learning for cybersecurity, with a phishing detection ensemble accepted at ICCIT 2025 (IEEE), and on agricultural AI, with a tea leaf disease classification paper published in IEEE Xplore.

Beyond research, I serve as Chair of the IEEE RUET Signal Processing Society and Vice President of the Astronomy and Science Society of RUET.

I am actively seeking funded PhD positions for Fall 2027 in computer vision, medical image analysis, and NLP. Feel free to reach out via email or any of the links below.