Research Team

Meet the brilliant minds behind our cutting-edge toxicity prediction system, combining scientific expertise with advanced AI innovation

Our Expert Team

A multidisciplinary team of researchers and AI experts working together to advance toxicity prediction technology

Dr. S M Hasan Mahmud

Dr. S M Hasan Mahmud

Associate Professor

Corresponding Author

Department of
Software Engineering
Faculty of
Science and Information Technology
University of
Daffodil International University
Role
Supervision, Methodology, Conceptualization
[email protected]
Expertise
Computer Vision, Bioinformatics, Sequence Analysis
Francis Rudra D Cruze

Francis Rudra D Cruze

MS Student

Department of
Computer Science & Engineering
Faculty of
Science and Information Technology
University of
East West University
Role
Formal Analysis, Model & Platform Development, Visualization
[email protected]
Expertise
Medical Image Analysis, Computer Vision, Deep Learning
Md. Faruk Hosen

Md. Faruk Hosen

Lecturer

Department of
Computing and Information Systems
Faculty of
Science and Information Technology
University of
Daffodil International University
Role
Writing Original Draft, Data Collection
[email protected]
Expertise
Machine Learning, Deep Learning, Bioinformatics
Dr. Goh Kah Ong Michael

Dr. Goh Kah Ong Michael

Associate Professor

Corresponding Author

Faculty of
Information Science & Technology
University of
Multimedia University
Role
Supervision, Funding Acquisition
[email protected]

Collaborative Excellence

Our interdisciplinary approach brings together diverse expertise for breakthrough innovations

Medical Expertise

Clinical Research Experience
Oncology Specialists
Medical Imaging Experts
Pathology Analysis
Treatment Protocol Design

AI Innovation

Deep Learning Experts
Computer Vision Specialists
Data Scientists
Machine Learning Engineers
Algorithm Optimization

Academic Excellence

Published Researchers
International Collaboration
Grant Recipients
Peer Review Experts
Research Supervision

Collaborate With Our Team

Interested in research collaboration, partnership opportunities, or have questions about our work? We'd love to hear from you.

Contact Research Team Visit CAMLAS Lab