CancerCare: Integrating Computational Tools to Address the Needs of Cancer Patients and Oncologists
CancerCare is an ongoing research initiative focused on improving cancer care through technology-driven, human-centered solutions. The project explores the design of cost-effective cancer registry systems for resource-constrained settings, investigates neurobiological and behavioral markers of depression among cancer patients using EEG and free-hand sketch analysis, and examines communication breakdowns between oncologists and patients. Through surveys, neurophysiological data, and computational methods, CancerCare aims to enhance clinical decision-making, mental health support, and patient–oncologist interactions, particularly in developing healthcare contexts such as Bangladesh.

Designing cost-effective cancer registry system: A Survey-Based Analysis Towards Designing a Smart and Cost-effective Cancer Registry Ecosystem in Developing Countries
Beyond words: An Exploration of Free-hand Sketches and EEG-based Neurobiological Signatures to Unveil the Underlying Depression among Cancer patients
CancerCare: Exploring Communication Breakdowns and An Approach for Oncologist-Patient Interactions and Technology-Driven Solutions in the Context of Cancer Care in Bangladesh

NeuroLens: A technological lens into cognitive and neurodevelopmental functioning

NeuroLens is a technology-driven research initiative that uses multimodal assessment, combining behavioral data, self-reports, and EEG signals from interactive tasks, to enable scalable screening of cognitive and neurodevelopmental dysfunctions, including ADHD, Depression, Alzheimer's disease, and neurodegenerative disorders.
Ongoing Works:

Towards Engaging ADHD Detection: A Collaborative Approach Using Integrated Assessment Methods
MonChitro: Unveiling The Stress and Depression About Future Among Undergraduate Students
A Data-Driven Insight to Enhancing Stress Management Through Chatbot Interaction Among Undergraduate Students

CattleSavior: Towards Implementing an Advanced Non-invasive Disease Detection System
CattleSavior is a technology-driven research project that aims to support cattle farmers through early, non-invasive disease detection using deep learning and mobile technology. The project combines farmer-centered research with image-based disease recognition to identify common cattle diseases and provide instant, actionable feedback through a smartphone app. By enabling timely detection and accessible guidance, CattleSavior seeks to reduce economic loss, improve animal health, and promote sustainable livestock management in resource-constrained settings.

Understanding User Interaction with Algorithmic Decisions That Affect Legal Rights in Bangladesh
As algorithms increasingly influence decisions such as credit approval, account access, and service eligibility, individuals often face outcomes with legal consequences through digital interfaces. This project examines how users in Bangladesh understand and respond to these algorithmic decisions. Using human-centered design methods, it explores how interface design affects comprehension, perceived fairness, and trust, with the goal of promoting transparency and accountability in legally significant digital systems. Ongoing work-

Algorithmic Transparency and Legal Rights in Bangladesh
Human-Centered Design for Algorithmic Accountability
Understanding Legally Significant Algorithmic Decisions

EduSense: Human-Centered Design for Inclusive Indigenous Early Childhood Education
EduSense is a human-centered research initiative focused on improving access, engagement, and learning outcomes in Indigenous pre-primary education through culturally responsive technology design. The project explores how interactive tools, participatory design methods, and context-aware digital interventions can support early childhood education in underrepresented and resource-constrained communities. By integrating insights from educators, parents, and children, EduSense aims to develop inclusive, accessible, and culturally aligned educational solutions that strengthen foundational learning experiences in regions such as Bangladesh.
Ongoing projects-

Leveraging Primary Education of Indigenous Communities in Bangladesh through Participatory and Iterative Development of Online Resources.

Exploring Online Privacy, Digital Security, and Digital Self-Expression Through Educational and Digital
This project investigates how individuals understand and navigate online privacy, digital security, and self-expression in increasingly connected environments. Through educational interventions and technology-driven design approaches, the research examines digital behaviors, awareness gaps, and protective practices. The goal is to develop user-centered tools and learning frameworks that empower individuals to safeguard their digital identities while fostering safe and meaningful self-expression.

📌Recruitment Call: Undergraduate Research Assistants 📌

The C2SG Research Group is inviting motivated undergraduate students to join our interdisciplinary research projects at the intersection of Human-Computer Interaction (HCI), AI, health technology, education, and digital governance.

We work on real-world, socially impactful problems in Bangladesh using computational tools, human-centered design, and data-driven approaches.

🎯 Who Should Apply?

We are looking for undergraduate students who are:

Interested in research and publications
Curious about AI, HCI, data science, healthcare tech, or digital governance
Willing to learn tools such as data analysis, survey design, UI/UX research, EEG processing, or machine learning
Motivated to work on impactful, socially relevant problems
Students from CSE, EEE, BME, Psychology, Public Health, Law, Education, or related fields are encouraged to apply.

🛠 What You Will Gain

Hands-on research experience
Opportunity to co-author a paper
Experience with real datasets (EEG, behavioral, survey, AI models)
Mentorship and structured research guidance
Exposure to interdisciplinary and impact-driven research

📩 How to Apply

Send your CV and a short statement of interest (why you want to join and which project interests you) to:

[jannatun@cse.uiu.ac.bd]

Subject Line: Application – C2SG Research Group