Master of Science (MSc) in Computer Science & Engineering
BRAC University, Dhaka, Bangladesh (2025–26)
CGPA: 3.95/4.00

Bachelor of Science (BSc) in Computer Science & Engineering
BRAC University, Dhaka, Bangladesh (2020–24)
CGPA: 3.91/4.00

OBE Curriculum Practice and CQI for Accreditation Readiness

• Organized by the Institutional Quality Assurance Cell (IQAC), Daffodil International University
• Workshop held on 18 June 2026
• Post-workshop assessment successfully completed on 18 July 2026
• Awarded a Certificate of Appreciation for successful participation

Lecturer, Daffodil International University (May 2025 – Present)

• Artificial Intelligence for Business (0613-301)
• Data Science & Cyber Security for Business (0611-311)
• Computer Fundamentals (0611-111)
• Managing the Innovation (0413-311)
• Data Visualization for Business Analytics (0414-412)

Adjunct Lecturer, BRAC University (June 2025 – September 2025)

• Data Structures
• Robotics
• Numerical Methods
• Computer Graphics

Conference:

• Islam, S. S., Sharif, S., Roy, A., & Ahmed, F. (2026). Layerwise sparsity allocation in convolutional neural networks via a linear-chain CRF energy model. In Proceedings of the 4th International Conference on Computing Advancements (ICCA 2026). Association for Computing Machinery.
• Sharif, S., Roy, A., & Islam, S. S. (2026). Beyond Pandas: A Dask-based parallel pipeline for large-scale synthetic data generation. In Proceedings of the 4th International Conference on Computing Advancements (ICCA 2026). Association for Computing Machinery.
• Sharif, S., Islam, S. S., & Karim, D. Z. (2025, February 13–15). Detecting different stages of Alzheimer's disease from MRI images using deep learning and computer vision techniques. 4th International Conference on Electrical, Computer and Communication Engineering (ECCE 2025), Chittagong University of Engineering & Technology, Chattogram, Bangladesh.

Book Chapters:

• Islam, S. S., Sharif, S., Roy, A., Sayor, J. J. A.-M., & Tarafdar, S. (2026). Probe-reliability and architectural compensation in CNN channel pruning. In Lecture Notes in Networks and Systems. Springer Nature.
• Islam, M. A., Aseef, M., Simran, S. S., Sharif, S., & Islam, S. S. (2026). Covert data transmission using secret sharing and ARP network steganography. Taylor & Francis.

Preprints:

Roy, A., Sharif, S., & Sarkar, S. P. (2026). Adaptive alarm threshold prediction in 4G mobile networks: A percentile-guided deep learning framework with interpretable outputs. arXiv.

Areas of Interest

• Deep Learning and Computer Vision
• Medical Image Analysis
• Model Compression and Efficient Neural Networks
• Machine Learning for Business Applications
• Natural Language Processing and Large Language Models
• Data Science, Data Analytics and Parallel Computing
• Explainable Artificial Intelligence (XAI)
• Network Security and Data Steganography

Selected Research Projects

• Intermittent Inventory Demand Forecasting using KNN Clustering and RNN (LSTM)
• Classifying Stages of Alzheimer's Disease from MRI using Deep Learning and Computer Vision
• NGflix, a movie-watching platform inspired by Netflix, developed using Angular, TypeScript, HTML and CSS
• AutoMech, an automobile breakdown assistance web application built with PHP
• EstateX, a website facilitating the purchase and sale of land or apartments, built with HTML, CSS, MySQL and PHP

Academic Awards

• Vice Chancellor's List (achieved for 6 consecutive semesters)
• Dean's List (achieved for 3 consecutive semesters)
• Highest Distinction Award (graduated with highest distinction award)

Conference Recognition

• Certificate of Appreciation, International Conference on Electrical, Computer and Communication Technologies (ECCT 2026), Dhaka International University
• Certificate of Contribution, International Conference on Electrical, Computer and Communication Engineering (ECCE 2025)

• Member, Institute of Electrical and Electronics Engineers (IEEE)
• Member, BRAC University Computer Club (BUCC), BRAC University

Adjunct Lecturer, BRAC University (June 2025 – September 2025)

• Data Structures: Helped students understand arrays, linked lists, trees and graphs with a focus on efficient problem-solving
• Robotics: Covered robot kinematics, sensors and control systems, and guided design and simulation projects
• Numerical Methods: Solved mathematical problems using computational techniques such as interpolation, numerical integration and differential equations
• Computer Graphics: Covered 2D/3D transformations, modeling, rendering and animation

Technology Intern, BRAC Bank PLC (October 2024 – January 2025)

• Worked on OCR and ICR for banking documents using EasyOCR, PaddleOCR, Tesseract OCR, Llama and Qwen VL
• Handled computer vision tasks for document layout classification and identification
• Troubleshot technical issues and supported OS-level configurations across branches and head office

Frontend Web Developer, Spectrum Engineering (May 2024 – August 2024)

• Developed responsive front-end modules for an ERP-based web application using Angular, HTML and CSS
• Integrated a microservices architecture for modular, scalable UI components

Student Tutor, BRAC University (May 2023 – December 2023)

• Served as Student Tutor for the Algorithms course, guiding peers through lab tasks and theory assignments