I'm an AI researcher and lecturer from Chattogram, Bangladesh, working on machine learning, quantum computing, and cybersecurity. I've published in top-tier IEEE and Springer conferences, and I'm actively seeking PhD opportunities and research funding at US universities to advance research in artificial intelligence and secure intelligent systems. I continue to work on scalable, secure, and intelligent systems that make a difference.
My research interests are machine learning, deep learning, cyber security and quantum machine learning — applied to problems that matter where I work: scam detection in under-served languages, disease screening from images, and fraud risk scoring.
Risk-scoring frameworks for transaction card fraud, and hybrid models for forecasting.
CNNs and transformers for medical and agricultural imaging, with explainable AI.
Phishing, smishing and quishing detection, including Bangla SMS scam detection.
Hybrid quantum–classical architectures, quantum SVMs and variational circuits.
IEEE International Conference on Quantum Photonics, Artificial Intelligence, and Networking (QPAIN), 2nd edition, CUET, Chattogram · IEEE
IEEE International Conference on Quantum Photonics, Artificial Intelligence, and Networking (QPAIN), 2nd edition, CUET, Chattogram · IEEE
International Conference on Data Science, AI and Applications (ICDSAIA), Dhaka · Springer
Deployed applications and machine learning prototypes, most of them small enough for one person to finish and useful enough for someone to actually run.
A classifier trained on the Wisconsin Diagnostic dataset, running entirely in the browser through WebAssembly — no install, no server. A research and teaching prototype, explicitly not a medical device.
Sunshine Grammar School and College · Chattogram
ZogBiyog · Remote
Asia Pacific Journal of Energy and Environment
I joined Sunshine Grammar School & College on 1 June 2023, just a few days after my graduation ceremony, as a Lecturer in Computer Science — not knowing how deeply this place would shape my life. From my first day in the classroom, teaching O- and A-Level Computer Science and Applied IT, I felt a sense of purpose.
Working with students on programming, algorithms, cybersecurity, and problem-solving made me grow as a teacher and as a person. Over time, guiding more than 220 students toward A* results and helping them overcome their fears in coding and logic became some of my most rewarding experiences.
International enrolment counsellor Ivane Helias came to Sunshine to talk through undergraduate options in the US — scholarships, campus life, and the pathways actually open to international students.
Why LinkedIn does more for a student's career here than Facebook, and what changes when you build a professional presence instead of a social one.
Eighteen students with no coding experience, two curriculums running in parallel, and internationally competitive results — what actually made the difference.
Fifty answers compared, and what they reveal about matching a model to the kind of writing you are actually doing.
I am always open to research collaborations, academic discussions, and professional opportunities. Please reach me directly through email or the links below.
