Faculty Members (Department of Computer Science & Engineering )


Personal Info

Mekhala Mariam Mary

B.Sc. in CSE, BRAC University, Dhaka, Bangladesh.
Lecturer, Department of Computer Science & Engineering 

Contact Info

Email: mekhala@isu.ac.bd
Telephone: +880 9613737373, Ext. 177

Mekhala Mariam Mary, Lecturer, in the Department of English at ISU has a and driven individual with a keen interest in technology and innovation. With a Bachelor of Science in Computer Science and Engineering along with a Minor in Mathematics from BRAC University, Bangladesh, and experience as a Lecturer at International Standard University, she brings a strong foundation in both theoretical knowledge and practical application. Her research interests span areas such as Quantum Machine Learning, Computer Vision and Smart Internet of Things, reflecting my commitment to staying at the forefront of technological advancements. Outside of academia, she actively engages in extracurricular activities, including volunteer work and participation in tech events, showcasing her dedication to personal growth and community involvement. She is excited about the opportunity to continue learning, growing, and making a positive impact in the world of technology. Her research works are available in researchgate: https://www.researchgate.net/profile/Mekhala-Mary

  • "Design and Implementation of a Smart Bike Accident Detection System," 2020 IEEE Region 10 Symposium (TENSYMP), Dhaka, Bangladesh, 2020, pp. 386-389, doi: 10.1109/TENSYMP50017.2020.9230656
  • “Optimizing Skin Lesion Segmentation with UNet and Attention-Guidance Utilizing Test Time Augmentation,” accepted in 6th International Conference on Electrical Engineering and Information & Communication Technology 2024: Paper ID 283
  • “Deep Neural Network-Based Sign Language Recognition: A Comprehensive Approach Using Transfer Learning with Explainability,” accepted in 6th International Conference on Activity and Behavior Computing:  Paper ID 26
  • “Utilizing Customized 3D U-Net Framework for the Classification and Segmentation of Multi-regional Brain Tumors in Volumetric MRI Images,” accepted in 3rd International Conference on Advancement in Electrical and Electronic Engineering: Paper ID 288


  • Utilizing Customized 3D U-Net Framework for the Classification and Segmentation of Multi-regional Brain Tumors in Volumetric MRI Images
  • Improving Skin Lesion Segmentation Accuracy in Dermatological Imaging using SegNet: A Deep Learning Approach for Enhanced Diagnostics
  • Algorithmic Exploration of Book Reading Behavior: An In-Depth Analysis Using Diverse Regression Approaches for Predicting Reading Habits

  • High distinction and listed for Dean’s award for BSC in Computer Science and Engineering

  • B.Sc in Computer Science and Engineering and Minor in Mathematics, BRAC University


  • Lead Instructor, BUCC Academy Summer-2020 organized by BRAC University Computer Club (BUCC). Helping students with Data Structure course by conducting weekly class and solving related problems.
  • Lead Instructor, Exam Bell Fall-2019 organized by BRAC University Computer Club (BUCC)
  • Conducting two dedicated classes for the freshmen who are facing problems with basic coding and tracing in JAVA as well as Object Oriented Programming.
  • Hosting and anchoring the webinars conducted by BRAC University Computer Club (BUCC) on career and growth-related topics in CSE.
  • Presented Lectures in BRACU QC (Quantum Computing) Bootcamp https://www.youtube.com/watch?v=z5dksx7XMhU&list=PLvj5w6iNZqVg_f6tGzuWkNj873pkHjrvK


  • Refining Research Title and Articulating Research Problems organized by the Centre for Research, Development and Publications (CRDP), International Standard University (ISU)
  • Professional Development for Teachers organized by the Institutional Quality Assurance Cell (IQAC), International Standard University (ISU)

  • Part-time Teaching Assistant, BRAC University (Spring 2020 & Fall 2021)

  • Discrete Mathematics
  • Data Structure
  • Algorithms
  • Object Oriented Programming
  • Digital Logic Design
  • Information System Design

  • Quantum Machine Learning
  • Data Science
  • Computer Vision
  • Internet of Things (IoT)