Building Energy & Environmental Management-BEEM Enhanced by AI

CRT Research Group Paper Presented at NOUS 2026 Conference, Spain
We are proud to share that a research paper from our CRT Research Group was presented at the NOUS 2026 Conference, hosted by the AIR Institute under the European NOUS Project in Spain.

Paper Title: Machine Learning-Based Prediction of Thermal Comfort Among Non-Academic University Workers

Authors:
• Mahabuba Porosh Moni
• Mohammad Nyme Uddin (Corresponding Author)
• Jannatul Nayem
• Halima Khatun

Presenter: Halima Khatun

This research explores the application of machine learning techniques to predict thermal comfort conditions for non-academic workers in university environments, contributing to improved workplace well-being and data-driven environmental management.

Congratulations to all the authors for their valuable contribution and for representing the CRT Research Group on an international platform. Wishing the team continued success in future research endeavors.

RECRUITMENT OPEN

Interdisciplinary Research in Machine Learning & Deep Learning
(CSE ONLY)

📍 Lab: Building Energy & Environmental Management (BEEM) Enhanced by AI

The BEEM Lab is inviting 2 motivated CSE students to join the Co-Research Team (CRT) for an advanced interdisciplinary research project focused on:

🔹 Machine Learning
🔹 Deep Learning
🔹 Artificial Intelligence
🔹 Data-Driven Intelligent Systems

📌 Requirements

Minimum CGPA: 3.50

Must be in 6th semester or higher

Must follow research ethics & academic integrity

Personal Laptop/PC required

🎯 Positions Available
✅ Only 2 Co-Research Team (CRT) Members will be recruited

📌 Application Form
Interested candidates must apply through the official form below:

🔗 Application Form Link: https://forms.gle/VCaEXVGG4M7AkdR47

⏳ DEADLINE: 10 Mar 2026

✅ Contacts for Any Queries:
1. Md Al Hossain Mukib
Principal Research Team (PRT)
01981773889
[email protected]

2. Md. Fardin Al Shafik
Principal Research Team (PRT)
01963896192
[email protected]

Apply. Innovate. Collaborate. Build the future with intelligent systems.

CRT Recruitment Open: Multidisciplinary Transportation Research Team (AI Integration)
We are inviting motivated students to join a multidisciplinary research project focused on the application of Artificial Intelligence (AI) in transportation systems. This project aims to support research on smart mobility, truaffic management, road safety, and data-driven transportation planning through real-world field data collection and intelligent analysis.
Due to safety concerns related to highway and roadway field data collection, this recruitment is currently open to male candidates only
Who Can Apply?
Students from Engineering, Civil, CSE, EEE, Data Science, Environmental Science, Architecture, Urban Planning, and related disciplines who:
• Are interested in research and AI applications
• Are willing to work in the field under supervision
• Can follow research ethics, safety protocols, and team guidelines
• Are committed to teamwork and responsible data handling
Requirements
• Must submit basic information and Academic CV
• Must be physically able to perform outdoor data collection (if assigned)
• Must agree to follow ethical standards and safety guidelines
• Smartphone required for field data collection
Application Process
Interested candidates must fill out the recruitment form and upload their Academic CV (PDF/Doc):
Application Form: https://forms.gle/APvvW5PrqphB9ZKY9
Shortlisted applicants will be informed via email or phone regarding the interview schedule, which will be announced at a later date.
Deadline: 12 Feb 2026
Feel free to share with interested students.

docs.google.com

🎉 Publication Announcement | MDPI Sustainability (WoS–SCIE, Q1 Journal)

We are delighted to announce that our research article has been successfully published in the MDPI journal Sustainability, a Web of Science–indexed (SCIE) and Q1-ranked (Scopus) journal in the field of Sustainable Water Management.

📊 Journal Metrics & Indexing
* Web of Science (SCIE)
* Scopus (Q1)
* Impact Factor: 3.3
* CiteScore: 7.7

📄 Article Title: Predicting Seasonal Variations in River Water Quality: An Artificial Intelligence (AI) Approach Integrating Physicochemical Parameters

📅 Publication Date: 9 February 2026

👥 Authors
Hasibul Hasan Shawon, Md Safwan Kabir Bhuiya, Tris Kee, Md Sabbir Hossan, Md Jubayer Hasan, Wasiq Hasan Nafi, Al-Noman Hossain, and Mohammad Nyme Uddin

📌 Co-Corresponding Authors
Mohammad Nyme Uddin & Tris Kee

🔗 Article Link: https://doi.org/10.3390/su18041746

🔍 Research Overview
This study was conducted under the BEEM framework (Building & Energy Efficiency/Management), where Artificial Intelligence (AI) techniques were employed to predict seasonal variations in river water quality using key physicochemical parameters. The findings demonstrate the potential of AI-driven, data-centric approaches to support sustainable environmental assessment, water resource management, and informed decision-making.

🙏 Acknowledgement
We would like to express our sincere gratitude to our Principal Investigator, Mohammad Nyme Uddin, PhD, for his invaluable guidance, continuous support, and leadership throughout this research work.

We hope this publication will encourage students and early-career researchers to explore AI-enhanced BEEM applications in sustainability, environmental engineering, and smart resource management.

Excited to share the works presented at the 3rd International Conference on Future Challenges in Sustainable Urban Planning & Territorial Management, organized by the Technical University of Cartagena (UPCT). The conference took place online via the Sciforum platform from 20–22 January 2026. 🌍🏙️
Oral Presentations:
1️⃣ Classifying People Density in Outdoor Urban Cafeterias Based on Environmental and Behavioural Parameters Using Machine Learning (ML) Models
Authors: Firuja Tasneem, Lamia Jamal, Mohammad Nyme Uddin, Mim Mony, Nowshin Nowyer Oyshi, Mahabuba Porosh Moni
2️⃣ Evaluating Biochemical Oxygen Demand in Urban River Water of Dhaka
Authors: Md. Hasan, Md. Sojib Sheikh (Presenter), Mohammad Nyme Uddin*, Asma Ul Hosna, Md. Tafhimul Hasan, Md. Hasibul Islam
3️⃣ Predictive Modeling of Indoor Humidity in Naturally Ventilated Mosque Spaces Using Machine Learning
Authors: Mst. Umma Nourin Sawon, Md. Hasan, Md. Hasibul Islam, Alip Kumar Paul, Mim Huda
Poster Presentation:
1️⃣ Predicting Lobby Location as an Indicator of Occupant Comfort: A Machine Learning (ML) Approach
Authors: Md. Mashnur Hossain Pabon, Md. Faisal Rahman Dhrubo, Maisha Mahmud, Ramisa Anjum
It was inspiring to see innovative applications of machine learning in urban planning, environmental monitoring, and occupant comfort studies. Congratulations to all the presenters for their outstanding work! 👏

Happy to share that our latest article has been published in the Transportation Research Interdisciplinary Perspectives

We are proud to announce that another research article from our research group has been successfully published in a top-tier Elsevier journal, Transportation Research Interdisciplinary Perspectives.

🔹 Indexing & Ranking: Scopus Q1 (Transportation – Q2), Web of Science (ESCI – Q2)
🔹 Impact Factor: 3.8
🔹 Access: Open Access under the Creative Commons CC BY 4.0 license
🔹 DOI: https://doi.org/10.1016/j.trip.2026.101838

This study presents a data-driven and interdisciplinary investigation into transportation system performance and human–environment interactions, integrating statistical methods and AI-assisted approaches. The research identifies and quantifies key operational, behavioral, and environmental factors influencing system efficiency and provides practical insights for sustainable transportation planning and policy-making, particularly within developing urban contexts.

Heartfelt congratulations to all the authors on this significant achievement. This publication reflects the team’s perseverance, collaboration, and dedication to high-quality interdisciplinary research.

Special congratulations to Mohammed Imran (SRM) and Soleman Rakib (PRT-2) on the acceptance of their first research article in a prestigious Web of Science–indexed Elsevier journal (ESCI) after more than 1.5 years of continuous effort and patience. This milestone is truly inspiring for emerging researchers.

We remain committed to advancing AI-driven, interdisciplinary research that contributes to sustainable and resilient transportation systems.

Research Achievement Announcement

We are proud to share that three of our conference papers have been published in Springer and are indexed in Scopus, and were presented at the 1st Global Forum for Sustainable Built Environment Research Conference – SURE-Built. This achievement highlights the dedication and collaborative effort of our research team in advancing sustainable, resilient, and intelligent built environment research.

📄 Published Papers:

1️⃣ Enhancing Human Thermal Comfort Prediction Models in Educational Buildings: An Artificial Intelligence (AI) Approach for Natural Ventilation Environments
Authors: Mohammad Nyme Uddin, Md. Tafhimul Hasan (Corresponding Author), G. M. Rahad, Hasibul Hasan Shawon, Jobayer Hossain, Md. Faisal Rahman Dhrubo, Md. Hasan, Md. Estiak Ahmed, Humayun Kabir & Md. Hasibul Islam
DOI: https://doi.org/10.1007/978-3-032-08992-2_2

2️⃣ Climate-Resilient Occupant Comfort Study Within Urban Landscape in a Densely Populated City: An Integrated Framework Using BIM, ABM, and SD
Authors: Md. Tafhimul Hasan, G. M. Rahad (Corresponding Author), Humayun Kabir, Md. Hasibul Islam, Jobayer Hossain, Hasibul Hasan Shawon, Md. Faisal Rahman Dhrubo, Md. Hasan, Md. Estiak Ahmed, Mohammad Nyme Uddin, Md. Iktekar Alam Imran & Soleman Rakib
DOI: https://doi.org/10.1007/978-3-032-08992-2_31

3️⃣ Is It Too Late to Implement Intelligent Transportation Systems (ITS) for Resilient Infrastructure in Developing Economies?
Authors: Soleman Rakib & Md. Iktekar Alam Imran (Corresponding Author)
DOI: https://doi.org/10.1007/978-3-032-08992-2_33

We sincerely thank our Principal Investigator, Mohammad Nyme Uddin, PhD, for his continuous guidance, mentorship, and unwavering support throughout this research journey. Congratulations to all authors and collaborators for their valuable contributions. We look forward to continuing high-impact, WoS-indexed, and Scopus-indexed research toward a more sustainable and resilient future.

Proud to share our CRT team's achievement!

On 11 December 2025, one of our CRT team members proudly represented our team at the 13th Machine Intelligence and Digital Interaction Conference (MIDI Conference), held in Warsaw. This milestone highlights CRT’s growing contribution to international research and innovation.

Paper Title:
Air Quality Prediction in Urban Recreational Zones Using Machine Learning Techniques

Authors:
Hasibul Hasan Shawon, Md. Monirul Islam, Mohammad Nyme Uddin, Md. Anuwer Hossain, Md. Sakib Al Mostofa, Sheikh Sazzad Hossain

The study applies machine learning techniques to predict air quality in urban recreational zones, supporting sustainable urban planning, environmental management, and public health protection.

Congratulations to all authors and contributors for this excellent achievement. We are proud of the entire team and look forward to more impactful research ahead!

A Proud Moment for Our Research Group!

We are honored to receive the Participation Certificates from the MedCAVIA 2025 Conference Committee for the successful presentation of our research at the 1st Mediterranean Conference on Advances in Vision and Artificial Intelligence (MedCAVIA 2025), held on 3–4 December 2025 and organized by Echahid Cheikh Larbi Tebessi University, Algeria.

🎤📄 Paper 1 (Paper ID: 05)
Title: Visual Comfort Prediction in a Healthcare Lobby: Machine Learning (ML) Approaches
Presenter: M. H. Pobon
Authors:Md. Faisal Rahman Dhrubo, Mohammad Nyme Uddin, Md. Mashnur Hossain Pobon, Maisha Mahmud, Ramisa Anjum

🎤📄 Paper 2 (Paper ID: 06)
Title: Visual Comfort Assessment for a Comparative Analysis of Dominant Features Using Machine Learning in Naturally Ventilated Cafeterias
Presenter: Takrim Jengi
Authors: Md Al Hossain Mukib, Jengi Takrim Uddin Ahmed, Mohammad Nyme Uddin, Md. Fardin Al Shafik, Lamia Jamal, Mony Mim, Tasneem Firuja

Heartiest congratulations to all authors and presenters!
Receiving these participation certificates is a proud recognition of our teamwork, dedication, and contribution to research in artificial intelligence, visual comfort, and intelligent building systems.

We are grateful for the opportunity to share our work on an international platform and engage with the global research community.

CONGRATULATIONS TO ALL THE AUTHORS!

We are excited to share that two of our research papers have been officially accepted for presentation at the 1st International Conference on Computational Intelligence with Engineering Applications (CIEA 2025), proudly hosted by the University of Technology Sydney (UTS), Australia, on November 25–26, 2025.

📘 Accepted Papers:

1️⃣ Floor Level Classification in Multistoried Educational Building Using Interpretable Machine Learning: A Case Study in Dhaka, Bangladesh
Authors: G. M. Rahad, Md Shoriful Islam Shuvo, Jobayer Hossain, Mohammad Nyme Uddin (Corresponding Author), Md. Raisul Islam Riyad
Paper ID: 121

2️⃣ Enhancing Thermal Comfort Prediction Models in Hospital Buildings: A Machine Learning Approach
Authors: Hasibul Hasan Shawon, Mohammad Nyme Uddin (Corresponding Author), Ehetisum Sharif, Sabir Ahmed, Shaching Mong Marma, Muhammad Aziz Jobayer Hasan, Muhammad Rasel Sheikh
Paper ID: 147

A huge congratulations to all the authors!
Your dedication, innovation, and commitment to advancing knowledge in AI, building performance, and human comfort modeling have led to this proud achievement.

This is a remarkable milestone for our research community at IUBAT, and we look forward to presenting our work on an international stage alongside global scholars and innovators.

Proud to Share Our Research Achievements at an International Conference

We are pleased to share that two of our research papers have been successfully presented at the 1st Edition of the Mediterranean Conference on Advances in Vision and Artificial Intelligence (MedCAVIA). This esteemed international conference, which will be published under the ACM Proceedings and organized by the Laboratory of Vision and Artificial Intelligence (LAVIA), Larbi Tebessi University, Algeria, brought together global researchers to discuss cutting-edge developments in vision science and artificial intelligence.

Our team is honored to contribute to this global platform with impactful studies focused on improving visual comfort analysis through machine learning techniques.

📄Paper 1:
“Visual Comfort Prediction in a Healthcare Lobby: Machine Learning (ML) Approaches”
Presenter: Md. Mashnur Hossain Pobon
Author: Md. Faisal Rahman Dhrubo, Mohammad Nyme Uddin
Md. Mashnur Hossain Pobon, Maisha Mahmud, Ramisa Anjum

📄 Paper 2:
“Visual Comfort Assessment for a Comparative Analysis of Dominant Features Using Machine Learning in Naturally Ventilated Cafeterias”
Presenter: Takrim Uddin Ahmed Jengi
Authors: Md Al Hossain Mukib, Takrim Uddin Ahmed Jengi, Mohammad Nyme Uddin, Md. Fardin Al Shafik, Lamia Jamal, Mim Mony, Firuja Tasnim

Congratulations to all presenters and authors!
Your commitment to advancing research in visual comfort and AI continues to uplift the academic contributions of our community. We look forward to more innovative achievements ahead.

,

Proud Achievement for Our Research Group!

We are delighted to share that our team has successfully participated in the 1st Global Scholarship for Sustainable Built Environment Research Conference (SURE-Built 2025), held on 4–5 September 2025 at the University of Johannesburg, South Africa.

Three of our research contributions were officially recognized with Certificates of Participation, showcasing our group’s growing impact in sustainable built environment research.

📄 Presented Papers:

1️⃣ Enhancing Human Thermal Comfort Prediction Models in Educational Buildings: An Artificial Intelligence (AI) Approach for Natural Ventilation Environments
Authors: Nyme Uddin, Tafhimul Hasan, G. M. Rahad, Hasibul Hasan Shawon, Jobayer Hossain, Md. Faisal Rahman Dhrubo, Md. Hasan, Md. Estiak Ahmed, Humayun Kabir, Md. Hasibul Islam
Paper ID: 009

2️⃣ Climate-Resilient Occupant Comfort Study within Urban Landscape in a Densely Populated City: An Integrated Framework Using BIM, ABM, and SD
Authors: Md Tafhimul Hasan, G.M. Rahad, Humayun Kabir, Md. Hasibul Islam, Jobayer Hossain, Hasibul Hasan Shawon, Md. Faisal Rahman Dhrubo, Md. Hasan, Md. Estiak Ahmed, Mohammad Nyme Uddin, Md. Iktekar Alam Imran, Soleman Rakib

Paper ID: 017

3️⃣ Is it too Late to Implement Intelligent Transportation Systems (ITS) for Resilient Infrastructure in Developing Economies?
Authors: Soleman Rakib, Mohammed Imran

Paper ID: 033

These recognitions reflect our group’s commitment to advancing interdisciplinary research in sustainability, urban resilience, digital built environments, and climate-responsive design.

A big congratulations to all authors for their hard work and dedication. Let’s continue pushing the boundaries of innovative research!