📢 Announcements from C2SG Research Group 📢

Shobar Khamar (সবার খামার) a long-cherished vision now taking shape.

Project Announcement: Building Bangladesh’s First AI-Driven Livestock Operating System

We are excited to launch a major academy–industry collaboration (Grant: 2.49 crore BDT, under the ICSETEP Research and Development Grant, UGC) led by UIU and BUET, in partnership with Tirzok Private Limited, to transform Bangladesh’s livestock sector through AI and emerging technologies.

Under the guidance of Dr. Jannatun Noor Mukta (UIU) and Dr. Alim Al Razi (BUET), the teams are actively contributing to research, planning, and AI-based disease detection.

The project focuses on scalable, cost-effective AI solutions to enable smart, sustainable livestock farming and drive nationwide adoption.

Shobar Khamar (সবার খামার)—a vision long held, now becoming a reality.

On 12th April, 2026, a stakeholder and team meetup for Shobar Khamar was held, bringing together research teams from BUET CSE and the Department of CSE at United International University (UIU), along with the development team from Tirzok Private Limited.

The session focused on the platform’s progress and future direction. Shobar Khamar is envisioned as a comprehensive digital solution for livestock farmers, integrating AI-driven disease detection, telemedicine, marketplace services, and data-driven farm management.

This meetup marks an important step toward building a technology-driven livestock ecosystem in Bangladesh.

🎉 CHI 2026 Acceptances – C2SG Research Group

We are delighted to share that five papers from our lab, the Computing for Sustainability and Social Good (C2SG) Research Group, have been accepted at the ACM CHI Conference on Human Factors in Computing Systems (CHI 2026) (CORE A*, Scopus-indexed).

Accepted papers:

Re-educating Educated Ones: A Case Study on Chakma Language Revitalization in Chittagong Hill Tracts
Decoding Islamic HCI: What Current Patterns Reveal About Future Possibilities 🏅 (Honourable Mention)
The Digital Democracy Paradox: When Usability and Literacy Barriers Undermine Inclusive E-Government
Exploring AI Opportunities in Deaf Education: Understanding Design Needs Through Teacher and Parent Perspectives in Bangladesh
“It should help me progress and strengthen my Imaan”: Understanding Algorithmic Experiences of Religious Content on Social Media Recommendation Systems

These works reflect our ongoing commitment to designing inclusive, culturally grounded, and socially impactful technologies.

Grateful to all collaborators and students who made this possible.

🏅 Honourable Mention at CHI 2026

Thrilled to share that our paper, “Decoding Islamic HCI: What Current Patterns Reveal About Future Possibilities,” has received an Honourable Mention at CHI 2026.

This work explores emerging patterns in Islamic HCI, highlighting how technology intersects with faith, values, and everyday practices. By examining current design approaches, we aim to uncover gaps and future opportunities for building more meaningful, culturally grounded digital experiences.

🎉 New Q1 Journal Publications

We are pleased to share that three of our research papers have been accepted in Q1 journals (Scopus-indexed), reflecting our continued efforts toward impactful and interdisciplinary research:

A Globally Applicable Framework for Earthquake Precursor Identification Using Gravity Gradient Tensor Anomalies from Satellite Gravimetry (Elsevier, Remote Sensing Applications: Society and Environment, IF 4.5)
Decision Tree-Based Real-Time Personalized Human Activity Recognition and Fall Detection Utilizing Cost Effective Highly Resource-Constrained Microcontrollers (Elsevier, Journal of Systems Architecture, IF 4.1)
Aerial Flood Scene Classification Using Fine-Tuned Attention-Based Architecture for Flood-Prone Countries in South Asia (IEEE, IEEE Access, IF 3.9)

These works span critical domains including disaster prediction, assistive technologies, and climate resilience—highlighting our commitment to research with real-world impact.

Computing for Sustainability and Social Good (C2SG) Research Group

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