M.Sc. Student in Computer Science | Researcher | Educator

I am a Computer Science researcher and educator currently pursuing my Master of Science (M.Sc.) at the University of Calgary. With a background as a Senior Lecturer and over 7 years of academic experience, I bridge the gap between complex theoretical concepts and real-world software solutions.

My passion lies in applying Artificial Intelligence and Deep Learning to healthcare and bioinformatics, specifically in medical imaging and genetic data compression.

• Academic Excellence:
  • Awarded a Full Funded Scholarship at University of Calgary for the duration of two years Master's Program.
  • Awarded a Full Merit Scholarship at Islamic University of Technology for the full duration of my undergraduate studies.
• National Trainer: Selected as a Trainer for the SEIP-BASIS Project (Ministry of Finance), where I taught Software Architecture and Design and contributed to national competency standards.
• Research Impact: I have authored or co-authored 14+ research publications, including papers accepted at IEEE conferences and high-impact journals like Neural Computing & Applications.
• Communication: Achieved an IELTS Band Score of 8.0, demonstrating high proficiency in international communication.

• Graduate Assistant - Teaching at Department of Computer Science at University of Calgary.
• Senior Lecturer (on study leave) at Stamford University Bangladesh
• Adjuct faculty member
  • Islamic University of Technology
  • Ahsanullah University of Science and Technology
  • Sonargaon University
• Trainer at SEIP Tranche-3 under the jurisdiction of Ministry of Finance, governed by BASIS
• Web Developer and Server Admin at XeonBD

I am currently working on advanced computer vision and machine learning techniques to solve critical problems:

• Rare disease identification using multimodal health related data and application of deep learning techniques.

• Autism Spectrum Disorder (ASD) Classification: Developed an Enhanced Graph Convolutional Network (GCN) to classify ASD, recently presented at IVCNZ 2025.
• Medical Imaging Analysis: Supervised a novel work utilizing Deep Learning to detect bone fractures and classify diabetic retinopathy.
• Bioinformatics: Creating novel algorithms for DNA/RNA sequence compression using Deep Learning and arithmetic encoding, achieving breakthrough compression rates.
• Image Processing: Developed an end-to-end deep learning pipeline to segment laboratory aparatus in real world laboratory settings.

Languages:

Domains & Tools:

• Machine Learning/Deep Learning: PyTorch, TensorFlow, Scikit-Learn, Keras, OpenCV.
• Web Development: MVC Architecture, E-commerce Solutions, ERP Systems, Wordpress.
• Academic Tools: LaTeX, Zotero, Octave.

• Data Scraping for E-commerce, Newspaper and Education Systems: As a supervisor, led a team to build user friendly data scraping for different types of systems to mine useful data for a recommendation system.
• Genetic Data Compression: A supervised thesis project utilizing a custom deep learning architecture to achieve an 8% reduction in bits-per-base compared to state-of-the-art methods.
• Movie Recommendation System: Built a recommendation engine inspired by Netflix/YouTube algorithms, correlating user behavior with viewing patterns.
• Office Management System (ERP): Led a team to build a scalable ERP system handling procurement, inventory, and HR for business clients.

• Email: adnan.ashrafi@ucalgary.ca
• University Profile: Ucalgary/Adnan
• Google Scholar: Adnan Ferdous Ashrafi
• LinkedIn: adnanferdous
• Personal Site: sites.google.com/view/adnan-ashrafi