ML-ADHD: Machine Learning and Questionnaire-Based Mobile Application for EarlyDetection of ADHD in Children in Bangladesh.

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Project Summary:


ADHD is a neurodevelopmental condition marked by inattention, hyperactivity, and
impulsivity, which can affect learning and daily behavior. In Bangladesh, many children
with ADHD go undiagnosed due to low awareness, lack of clinical resources, and the
absence of screening tools. This project aims to identify the factors associated with
ADHD. Specifically, it seeks to understand the relationship between various
characteristics and the likelihood of developing ADHD. Moreover, we will design a
mobile app in Bengali-language that can screen children aged 4–15 years for possible
Attention-Deficit/Hyperactivity Disorder (ADHD). We will apply different Machine
Learning approaches to achieve the goal of the project.

CCDS Alumni(senior project student) Sadia Khan Receives Fully Funded Scholarship for Master’s at Uppsala

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Many congratulations to CCDS alumni (senior project student) Sadia Khan for getting into prestogious fully funded

Uppsala University Global Scholarship (awarded to top 2% of applicants)

for Master’s Programme in Computer Science – Computer Science. She has started her journey in this Fall.

Roadmap to Data Science

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What we describe below is written for Computer Science majors and is mostly about Data
Science and how to become a Data Scientist. There are also other related jobs like Data
Engineers which do not require one to go into this much detail (well you will need to go into
much details of the tech though). We are assuming that you the reader are somewhat familiar
with the term data science and are hoping to find some resources to get started learning about
data science properly….(Read more)

Mathematics and Statistics for Computer Science and Engineering Students

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These are the books/sites that I have either read or been suggested by others. Although there
are so many books out there, I have tried here to put down a list of books that are more suited
for CSE undergraduate students. If you want to settle on reading a single or a few
textbooks for each topic, collect the ones in bold-font. These are either the most readable
ones or have a lot of worked out examples. Links to books and courses which are available
online are also provided….(Read more)

Self supervised learning: non-contrastive

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View Slides

Two papers accepted at the 2025 IEEE International Conference on Image Processing (ICIP 2025)

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Group photo of CSE, IUB faculty members who are part of CCDS

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From left to right: Dr Ashraful Islam (Assistant Prof), Asif Mahmud (Lecturer), Dr Md Rashedur Rahman (Assistant Prof), Dr Saadia Binte Alam (Associate Prof), Dr. Farhana Sarker (Associate Prof), Dr Ashraful Amin (Prof), Dr Amin Ahsan Ali (Prof), Dr AKM Mahbubur Rahman (Associate Prof), Sanzar Alam (Lecturer).

We welcome the new CSE faculty members joining CCDS. Here is a brief introduction:

Dr. Saadia Binte Alam’s research area of interest is medical image and signal processing and machine learning. She is the current Head of the department of CSE, IUB.

Dr Farhana Sarker recently joined IUB and her research involves Health informatics, Human Computer Interaction, Machine Learning. Dr Farhana Sarker is the recipient of several international grants, including one in 2024 from Bill and Melinda Gates Foundation.

Dr Md Rashedur Rahman recently joined IUB after completing his D.Engg degree from University of Hyogo, Japan in 2024. He works on medical image processing and analysis, video analysis, machine learning among others.

We are expecting to have faculty members from other disciplines joining CCDS.

Our paper got accepted to CHI (the Top Ranked Conference on Human Factors in Computing Systems) 2025’s Late Breaking Work Track!

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Our paper titled “Improving User Engagement and Learning Outcomes in LLM-Based Python Tutor: A Study of PACE” got accepted to CHI (the Top Ranked Conference on Human Factors in Computing Systems) 2025’s Late Breaking Work Track!
What gives us more pleasure is that this work came out of an undergraduate senior project. The project done was by two IUB CSE graduates Ashfaq and Shochcho and was supervised by Prof Amin Ahsan Ali. Apart from them, other coauthors include CCDS RA Rohan and Dr Ashraful Islam, Hasnain Heickal, and Dr Akm Mahbubur Rahman, and Prof Ashraful Amin.
This paper introduces PACE (Python AI Companion for Enhanced Engagement), a system leveraging Small LMs to deliver step-by-step guidance and adaptive feedback for teaching Python.
This study examines (1) the PACE system’s effectiveness in programming education according to learners, (2) learners’ trust in PACE versus traditional resources, and (3) design recommendations to enhance engagement and learning outcomes. PACE contributes to advancing cost-effective, scalable programming education.

Watch the demonstration video. [Click here…]