Graduate Research Assistant

Supervisor: Ts. Dr. Mohd Nor Akmal Khalid

• Research on A Novel Deep Neural Model for Efficient and Scalable Historical Place Image Classification.
• Published results in Nature Scientific Reports (IF: 4.2, Q1).

Summer Research Student

Supervisor: Dr. Zhengjun Yue

• Selected in the top 6 of 80 students shortlisted for interview for this international summer research program.
• Conducting a 28-day on-site research stay (13 July to 9 August 2026) under the supervision of Dr. Zhengjun Yue.

Course Facilitator

Agentic AI – Foundations Course | Organized by BAKAT-UKM with DigitalUKM

• Invited by DigitalUKM to facilitate the 3-day Agentic AI – Foundations course (7–9 July 2026) for Scheme F Information Technology staff.
• Delivered training on building and deploying AI agents using frameworks such as LangChain, LangGraph, and OpenAI Agents, covering integration with systems and APIs, IT process automation, and AI security, data governance, and ethics.

Teaching Assistant

• Assisted in conducting weekly laboratory sessions for the Digital Logic Design (DLD) course.
• Supported faculty members in evaluating students' practical work, laboratory exercises, and project demonstrations.

Research Intern

Research and Development Division

• Conducted research on Agentic AI-based automation for tax calculation and financial data processing.
• Developed intelligent AI workflows to automate tax-related operations and improve efficiency and accuracy in financial analysis.

Research Intern

Collaboration with Universiti Kebangsaan Malaysia (UKM)

• Conducted research on fighting scene video generation using diffusion-based generative AI models.
• Fine-tuned and trained the WAN 2.1 model using a custom UKM dataset to improve temporal coherence and consistency in generated videos.

Lecturer (Study Leave)

CSE 2110, CSE 2111: Competitive Programming Sessional I & II | CSE 2103: Discrete Mathematics | CSE 2112: Data Structures Lab

• Prepared IEB-standard question papers and mark schemes, resolved queries, and provided support with assignments, equations, and logic building.

Research Assistant

Supervisor: Dr. Mohammad Ali Moni, PhD (Cambridge)

• Research on MACST-Net: A Hybrid Multi-Attention Model for Accurate Cervical Cancer Classification.
• Submitted to Expert Systems with Applications, Elsevier (IF: 7.5, Q1).

Lecturer

CSE 224: Numerical Analysis Lab

• Contributed to developing new equations and provided academic insights to students.

Research Assistant

Supervisor: M. F. Mridha, PhD

• Research on Explainable Ensemble Deep Learning Model for Mulberry Leaf Classification and Disease Detection (Journal of Plant Diseases and Protection, Springer — Under Revision).
• Conducted research in Computer Vision and NLP resulting in multiple Q1 journal publications in Elsevier and Nature Scientific Reports.

Teaching Assistant

CSE 112: Structure Programming Language Lab | CSE 122: Object Oriented Programming Lab

• Helped prepare online contests for midterm and final exams.
• Assisted students in understanding C and C++ programming, including OOP concepts.

Competitive Programming Trainer

• Conducted classes on Data Structures and Algorithms and maintained performance updates and problem sets for contestants.
• Coached teams for ICPC Dhaka Regional 2023 & 2024 and multiple inter-university programming contests.