Building Energy & Environmental Management-BEEM Enhanced by AI, Embankment Drive Road, Dhaka (2026)

Q: What is the website?

https://www.researchgate.net/lab/Building-Energy-Environmental-Management-BEEM-Enhanced-by-AI-Mohammad-Nyme-Uddin, https

25/09/2026

𝗖𝗼𝗻𝗴𝗿𝗮𝘁𝘂𝗹𝗮𝘁𝗶𝗼𝗻𝘀 𝘁𝗼 𝗢𝘂𝗿 𝗕𝗘𝗘𝗠 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵𝗲𝗿𝘀 𝗼𝗻 𝗧𝗵𝗲𝗶𝗿 𝗦𝘂𝗰𝗰𝗲𝘀𝘀𝗳𝘂𝗹 𝗖𝗼𝗻𝗳𝗲𝗿𝗲𝗻𝗰𝗲 𝗣𝗿𝗲𝘀𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻𝘀!

𝗠𝗠𝗦𝗖 𝟮𝟬𝟮𝟲: 𝗪𝗼𝗿𝗸𝘀𝗵𝗼𝗽 𝗼𝗻 𝗠𝗮𝘁𝗵𝗲𝗺𝗮𝘁𝗶𝗰𝗮𝗹 𝗠𝗼𝗱𝗲𝗹𝗶𝗻𝗴 𝗮𝗻𝗱 𝗦𝗰𝗶𝗲𝗻𝘁𝗶𝗳𝗶𝗰 𝗖𝗼𝗺𝗽𝘂𝘁𝗶𝗻𝗴, 𝗵𝗲𝗹𝗱 𝗮𝘁 𝘁𝗵𝗲 𝗧𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗨𝗻𝗶𝘃𝗲𝗿𝘀𝗶𝘁𝘆 𝗼𝗳 𝗠𝘂𝗻𝗶𝗰𝗵, 𝗚𝗲𝗿𝗺𝗮𝗻𝘆, 𝗳𝗿𝗼𝗺 𝗦𝗲𝗽𝘁𝗲𝗺𝗯𝗲𝗿 𝟮𝟮–𝟮𝟱, 𝟮𝟬𝟮𝟲.

𝗣𝗮𝗽𝗲𝗿 𝟭
𝗔 𝗕𝗜𝗠-𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗲𝗱 𝗘𝘅𝗽𝗹𝗮𝗶𝗻𝗮𝗯𝗹𝗲 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸 𝗳𝗼𝗿 𝗖𝗢₂ 𝗣𝗿𝗲𝗱𝗶𝗰𝘁𝗶𝗼𝗻 𝗶𝗻 𝗡𝗮𝘁𝘂𝗿𝗮𝗹𝗹𝘆 𝗩𝗲𝗻𝘁𝗶𝗹𝗮𝘁𝗲𝗱 𝗨𝗻𝗶𝘃𝗲𝗿𝘀𝗶𝘁𝘆 𝗖𝗮𝗳𝗲𝘁𝗲𝗿𝗶𝗮𝘀

𝗣𝗿𝗲𝘀𝗲𝗻𝘁𝗲𝗿: Rifah Tamanna
𝗔𝘂𝘁𝗵𝗼𝗿𝘀: ফাইরুজা তাসনীম, Rifah Tamanna, Mohammad Nyme Uddin, Ronyma Bormon, Samia Rahman An-amika, Odrita Haque Odhi, Sayma Akter

𝗣𝗮𝗽𝗲𝗿 𝟮
𝗗𝗲𝗲𝗽 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴-𝗕𝗮𝘀𝗲𝗱 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻 𝗳𝗼𝗿 𝗧𝗵𝗲𝗿𝗺𝗮𝗹 𝗖𝗼𝗺𝗳𝗼𝗿𝘁 𝗣𝗿𝗲𝗱𝗶𝗰𝘁𝗶𝗼𝗻 𝗶𝗻 𝗟𝗼𝗯𝗯𝘆 𝗦𝗽𝗮𝗰𝗲𝘀 𝗼𝗳 𝗮 𝗠𝘂𝗹𝘁𝗶𝘀𝘁𝗼𝗿𝗶𝗲𝗱 𝗘𝗱𝘂𝗰𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗕𝘂𝗶𝗹𝗱𝗶𝗻𝗴

𝗣𝗿𝗲𝘀𝗲𝗻𝘁𝗲𝗿: Anasua Pramanik
𝗔𝘂𝘁𝗵𝗼𝗿𝘀: G. M. Rahad, Kamroon Nahar Tuli, Anasua Swachcha, Tashnim Jahan, Jobayer Hossain

𝗣𝗮𝗽𝗲𝗿 𝟯
𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴-𝗕𝗮𝘀𝗲𝗱 𝗣𝗿𝗲𝗱𝗶𝗰𝘁𝗶𝗼𝗻 𝗼𝗳 𝗜𝗻𝗱𝗼𝗼𝗿 𝗥𝗲𝗹𝗮𝘁𝗶𝘃𝗲 𝗛𝘂𝗺𝗶𝗱𝗶𝘁𝘆 𝗶𝗻 𝗨𝗻𝗶𝘃𝗲𝗿𝘀𝗶𝘁𝘆 𝗟𝗮𝗯𝗼𝗿𝗮𝘁𝗼𝗿𝗶𝗲𝘀 𝗨𝘀𝗶𝗻𝗴 𝗥𝗲𝗴𝗿𝗲𝘀𝘀𝗶𝗼𝗻 𝗠𝗼𝗱𝗲𝗹𝘀

𝗣𝗿𝗲𝘀𝗲𝗻𝘁𝗲𝗿: Sultan Salauddin
𝗔𝘂𝘁𝗵𝗼𝗿𝘀: Mukib Hossain, Sultan Salauddin, Shahed Bin Hossan Riyan, Emon Kumar Nath, Refat Hasan Milon, Abir Hasan

𝗣𝗮𝗽𝗲𝗿 𝟰
𝗣𝗮𝗽𝗲𝗿: 𝗣𝗿𝗲𝗱𝗶𝗰𝘁𝗶𝘃𝗲 𝗜𝗻𝗱𝗼𝗼𝗿 𝗔𝗶𝗿 𝗤𝘂𝗮𝗹𝗶𝘁𝘆 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁 𝗶𝗻 𝗥𝘂𝗿𝗮𝗹 𝗛𝗼𝘀𝗽𝗶𝘁𝗮𝗹𝘀: 𝗔 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸 𝗕𝗮𝘀𝗲𝗱 𝗼𝗻 𝗧𝗩𝗢𝗖 𝗙𝗼𝗿𝗲𝗰𝗮𝘀𝘁𝗶𝗻𝗴 𝗮𝗻𝗱 𝗔𝗱𝗮𝗽𝘁𝗶𝘃𝗲 𝗩𝗲𝗻𝘁𝗶𝗹𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝗻𝘁𝗿𝗼𝗹
Presenter: Faisal Dhrubo
Authors: Faisal Dhrubo, Hasibul Hasan Shawon, Lamia Jamal, Mim Mony, Mohammad Nyme Uddin

𝗖𝗼𝗻𝗴𝗿𝗮𝘁𝘂𝗹𝗮𝘁𝗶𝗼𝗻𝘀 𝘁𝗼 𝗮𝗹𝗹 𝘁𝗵𝗲 𝗽𝗿𝗲𝘀𝗲𝗻𝘁𝗲𝗿𝘀 𝗮𝗻𝗱 𝗮𝘂𝘁𝗵𝗼𝗿𝘀 for successfully representing Building Energy & Environmental Management-BEEM Enhanced by AI at this international scientific conference.

21/09/2026

Congratulations on a Remarkable Research Achievement

Heartiest congratulations to all the authors on the successful publication of the research article:

"Water quality assessment in a dense urban landscape using Statistical Analysis (SA), Artificial Intelligence (AI) and Geographic Information System (GIS)"

Published in Environmental Monitoring and Assessment, Springer Nature, Volume 198, Article 1091 (2026).

SCIE | Web of Science Q3 | Scopus Q2 | Impact Factor: 3.5

This research highlights the application of AI, statistical analysis, and GIS for water-quality assessment and environmental monitoring in Dhaka, Bangladesh.

Congratulations to all authors:
Md. Hasan | Asma Ul Hosna | Md. Sojib Sheikh | Tanvir Ahmed Khan | Md. Tafhimul Hasan | Md. Hasibul Islam | Mohammad Nyme Uddin

A proud achievement for Building Energy & Environmental Management (BEEM) Enhanced by AI and a valuable contribution to AI-driven environmental research.

Publication Details
Journal: Environmental Monitoring and Assessment
Publisher: Springer Nature
Volume: 198 | Article: 1091 | Year: 2026
DOI: https://doi.org/10.1007/s10661-026-15907-9

Read the Article – Free Access: https://rdcu.be/HduvKVzepiaa

04/09/2026

𝐂𝐞𝐥𝐞𝐛𝐫𝐚𝐭𝐢𝐧𝐠 𝐎𝐮𝐫 𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡 𝐂𝐨𝐧𝐭𝐫𝐢𝐛𝐮𝐭𝐢𝐨𝐧𝐬 𝐚𝐭 𝐒𝐔𝐑𝐄-𝐁𝐮𝐢𝐥𝐭 2026, 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲 𝐨𝐟 𝐉𝐨𝐡𝐚𝐧𝐧𝐞𝐬𝐛𝐮𝐫𝐠, 𝐒𝐨𝐮𝐭𝐡 𝐀𝐟𝐫𝐢𝐜𝐚!

We are delighted to share that several research works from our group have been accepted for presentation at the 2nd Global Scholarship for Sustainable Built Environment Research Conference – SURE-Built, hosted by the University of Johannesburg, Johannesburg, South Africa.

The accepted conference papers are:

1. Predicting Residents’ Thermal Comfort in Rural Mud Houses Using Machine Learning Classifiers
Authors: Al Rafayet Rahman, Md. Tafhimul Hasan, Md. Md Sojib Sheikh, Md. Estiak Ahmed, Bishwajit Chandra Mazumdar, and Md. Hasan
Presenter: Md. Estiak Ahmed

2. Classifying Floor Level Based on Human Comfort and Environmental Parameters Using Machine Learning Approaches for Sustainable Indoor Analytics
Authors: G. M. Rahad, Jobayer Hossain, Md. Hasan, Mohammed Imran, Md. Fardin AL Shafik, Md. Estiak Ahmed, and Md. Hasibul Islam
Presenter: Md. Fardin AL Shafik

3. Feature Importance Analysis of Thermal and Visual Comfort in Urban Slum Areas Using Artificial Neural Networks
Authors: Md. Faisal Rahman Dhrubo, Jobayer Hossain, Md. Mashnur Hossain Pobon, Mohammad Mehedi Hasan, and Md. Hasibul Islam
Presenter: Md. Mashnur Hossain Pobon

4. Evaluating the Reliability of Satellite and Reanalysis Climate Datasets for Local-Scale Applications in Bangladesh
Authors: Shuvo Kumar Chowdhury, Hasibul Ahmed Pulok, Zia Mohammad Nazim Uddin, Monirul Islam, Subrata Debnath, Khandakar Hasan Mahmud, and Mohammad Nyme Uddin
Presenter: Monirul Islam

5. Feature Importance of Human Visual Comfort in Naturally Ventilated Mosques Using a Machine Learning Approach
Authors: Md. Hasibul Islam, Md. Hasan, Mohammad Nyme Uddin, Mst. Umma Nourin Sawon, Alip Kumar Paul, and Mim Huda
Presenter: Mst. Umma Nourin Sawon

6. Using Artificial Intelligence to Predict Dissolved Oxygen for Sustainable River Water Quality Management in Bangladesh
Authors: Hassan Shawon, Md. Safwan Kabir Bhuiya, and Mohammad Tanvir Ahmad
Presenter: Hasibul Hasan Shawon

These studies reflect our continued research efforts in sustainable built environments, human comfort, machine learning, artificial intelligence, climate data analysis, and environmental sustainability.

Heartiest congratulations to all the authors and presenters for their dedication, teamwork, and valuable research contributions. We wish the presenters every success in representing their work at this international conference and look forward to further impactful research and collaborations.

22/08/2026

𝐂𝐞𝐥𝐞𝐛𝐫𝐚𝐭𝐢𝐧𝐠 𝐓𝐡𝐫𝐞𝐞 𝐏𝐮𝐛𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 𝐚𝐭 𝐀𝐈-𝐒𝐜𝐢𝐭𝐢𝐞𝐬 2025

We are delighted to announce the publication of three research papers from our research lab at the 1st International Conference on Artificial Intelligence and Sustainable Cities (AI-Scities 2025), a Scopus-indexed conference.

These publications reflect the dedication, collaboration, and research efforts of our team in applying Artificial Intelligence and Machine Learning to challenges in the built environment and sustainable cities.

1. Predicting Occupants' Outdoor Comfort Based on Sitting Surfaces Using Machine Learning
Authors: Jobayer Hossain, Md. Hasan, G. M. Rahad, Md. Tafhimul Hasan, Hasibul Hasan Shawon, and Humayun Kabir
DOI: https://doi.org/10.1051/e3sconf/202673501003

2. Predicting TVOC in University Cafeterias Using Machine Learning Based Regression Models
Authors: Mim Mony, Firuja Tasneem, Lamia Jamal, and Mohammad Nyme Uddin
DOI: https://doi.org/10.1051/e3sconf/202673502003

3. Feature Ranking for Predicting Occupant Visual Comfort in University Laboratories Using Machine Learning
Authors: Md. Fardin AL Shafik, Md. Al Hossain Mukib, and Mohammad Nyme Uddin
DOI: https://doi.org/10.1051/e3sconf/202673501005

Heartiest congratulations to all the authors on this important achievement. Your hard work, commitment, and contribution to research have made these publications possible.

Special appreciation to everyone involved in supporting and strengthening our research activities. We look forward to continuing our journey toward impactful research in Artificial Intelligence, sustainable cities, environmental performance, and the built environment.

Congratulations to all the authors once again.

17/08/2026

𝐀 𝐌𝐞𝐦𝐨𝐫𝐚𝐛𝐥𝐞 𝐌𝐢𝐥𝐞𝐬𝐭𝐨𝐧𝐞 𝐟𝐨𝐫 𝐁𝐄𝐄𝐌-𝐀𝐈 𝐋𝐀𝐁!

On 14 August 2026, Building Energy & Environmental Management-BEEM Enhanced by AI successfully organized its first-ever offline meet-up program at Cafe Darbar Uttara, Dhaka, Bangladesh, bringing together members from Principal Investigator (PI), Senior Research Members (SRM), Primary Research Team (PRT), Co-Research Team (CRT), and Volunteers.

With approximately 65 members participating, it was truly a wonderful and memorable gathering. More than just a meet-up, it was an opportunity to connect with one another, share experiences, strengthen our teamwork, and celebrate the research journey we are building together.

We would like to express our heartfelt gratitude to our PI, Dr. Mohammad Nyme Uddin, and his family for joining us and making the occasion even more special. Your presence, guidance, and continuous support mean a lot to our entire research community.

A special appreciation goes to all the SRM and everyone who worked behind the scenes to organize and manage the arrangements. Your dedication and teamwork played an important role in making the event a success.

Finally, thank you to every participant from the PI, SRM, PRT, CRT, and Volunteer teams for joining us and making our first offline meet-up such a memorable experience.

This is only the beginning of many more collaborations, achievements, and unforgettable moments.
Together, we learn. Together, we research. Together, we grow.

13/08/2026

𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡 𝐏𝐮𝐛𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐀𝐧𝐧𝐨𝐮𝐧𝐜𝐞𝐦𝐞𝐧𝐭 | 𝐂𝐈𝐄𝐀 2025 🇦🇺

We are delighted to share that two research articles from our research team have been published as book chapters following the 1𝘴𝘵 𝘐𝘯𝘵𝘦𝘳𝘯𝘢𝘵𝘪𝘰𝘯𝘢𝘭 𝘊𝘰𝘯𝘧𝘦𝘳𝘦𝘯𝘤𝘦 𝘰𝘯 𝘊𝘰𝘮𝘱𝘶𝘵𝘢𝘵𝘪𝘰𝘯𝘢𝘭 𝘐𝘯𝘵𝘦𝘭𝘭𝘪𝘨𝘦𝘯𝘤𝘦 𝘸𝘪𝘵𝘩 𝘌𝘯𝘨𝘪𝘯𝘦𝘦𝘳𝘪𝘯𝘨 𝘈𝘱𝘱𝘭𝘪𝘤𝘢𝘵𝘪𝘰𝘯𝘴 (𝘊𝘐𝘌𝘈 2025), Australia.

1. Improving Hospital Building Thermal Comfort Prediction: A Machine Learning Approach
Authors: Hasibul Hassan Shawon, Mohammad Nyme Uddin, Ehetisum Sharif, Sabir Ahmed, Shaching Mong Marma, Muhammad Aziz Jobayer Hasan & Muhammad Rasel Sheikh
DOI: https://doi.org/10.1007/978-981-95-8387-4_9
ResearchGate: https://www.researchgate.net/profile/Hasibul-Hasan-Shawon/research

2. Analyzing Floor Level Variation Based on Indoor Environmental Quality and Human Perception in an Educational Institute Using Machine Learning
Authors: G. M. Rahad, Md. Shoriful Islam Shuvo, Jobayer Hossain, Mohammad Nyme Uddin & Md. Raisul Islam Riyad
DOI: https://doi.org/10.1007/978-981-95-8696-7_4
ResearchGate: https://www.researchgate.net/profile/G-M-Rahad-2

These publications highlight the application of Machine Learning, Indoor Environmental Quality, Thermal Comfort, and Human Perception toward creating healthier and more comfortable built environments.

Congratulations to all the authors and collaborators for this achievement! Special appreciation to everyone who contributed to the research, writing, and publication process.

Published as Book Chapters | CIEA 2025 | Australia

If you are interested in reading the full chapters or discussing the research, please feel free to reach out to the respective authors through ResearchGate.

24/07/2026

𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡 𝐏𝐮𝐛𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐀𝐜𝐡𝐢𝐞𝐯𝐞𝐦𝐞𝐧𝐭

We are delighted to announce that the researchers of Building Energy & Environmental Management (BEEM) Enhanced by AI have successfully published four research articles in the SUPTM 2026: 3rd Conference on Future Challenges in Sustainable Urban Planning & Territorial Management proceedings, published by Sciforum / Universidad Politécnica de Cartagena (UPCT).

Congratulations to all authors for their valuable contributions toward advancing the integration of Artificial Intelligence (AI), Machine Learning (ML), sustainable built environments, and environmental management research.

Publication 1
Title: Classifying People Density in Outdoor Urban Cafeterias Based on Environmental and Behavioral Parameters Using Machine Learning (ML) Models
Authors: Firuja Tasneem, Lamia Jamal, Mohammad Nyme Uddin, Mim Mony, Nowshin Nowyer Oyshi, Mehbuba Poroshmoni
DOI: https://doi.org/10.31428/10317/24285

Publication 2
Title: Evaluating Biochemical Oxygen Demand in Urban River Water of Dhaka Using Geographic Information System and Machine Learning
Authors: Md. Hasan, Md. Sojib Sheikh, Mohammad Nyme Uddin, Asma Ul Hosna, Md. Tafhimul Hasan, Md Hasibul Islam
DOI: https://doi.org/10.31428/10317/24300

Publication 3
Title: Predicting Lobby Location as an Indicator of Occupant Comfort: A Machine Learning (ML) Approach
Authors: Md. Mashnur Hossain Pobon, Md. Faisal Dhrubo, Maisha Mahmud, Ramisa Anjum
DOI: https://doi.org/10.31428/10317/24280

Publication 4
Title: 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
DOI: https://doi.org/10.31428/10317/24264

Congratulations once again to all authors for this remarkable achievement. These publications demonstrate our continuous commitment to applying AI-driven approaches for solving challenges in building performance, environmental sustainability, urban systems, and occupant well-being.

We look forward to more innovative research contributions from BEEM Enhanced by AI.

17/07/2026

𝐄𝐱𝐜𝐢𝐭𝐢𝐧𝐠 𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡 𝐀𝐜𝐡𝐢𝐞𝐯𝐞𝐦𝐞𝐧𝐭

We are delighted to share that six research papers from the Building Energy & Environmental Management (BEEM) Enhanced by AI Research Group have been accepted for oral presentation at the 2nd Global Scholarship for Sustainable Built Environment Research Conference – SURE-Built 2026, hosted by the University of Johannesburg, South Africa.

This milestone represents the dedication, creativity, and collaborative efforts of our researchers working at the intersection of Artificial Intelligence, Machine Learning, Sustainable Built Environment, Climate Analytics, and Human Comfort Research.

Our accepted contributions include:

Paper ID: 142
Feature Importance Analysis of Thermal and Visual Comfort in Urban Slum Areas Using Artificial Neural Networks
Authors: Md. Faisal Rahman Dhrubo, Jobayer Hossain, Md. Mashnur Hossain Pobon, Mohammad Mehedi Hasan, Md. Hasibul Islam

Paper ID: 151
Enhancing Sustainable Development through Dissolved Oxygen Prediction in Bangladesh’s River Systems: An Artificial Intelligence (AI) Approach
Authors: Hasibul Hasan Shawon, Md. Safwan Kabir Bhuiya, Mohammad Tanvir Ahmad

Paper ID: 136
Evaluating the Reliability of Satellite and Reanalysis Climate Datasets for Local-Scale Applications in Bangladesh
Authors: Shuvo Kumar Chowdhury, Hasibul Ahmed Pulok, Zia Mohammad Nazim Uddin, Monirul Islam, Subrata Debnath, Khandakar Hasan Mahmud, Mohammad Nyme Uddin

Paper ID: 092
Predicting Residents' Thermal Comfort in Rural Mud Houses Using Machine Learning Classifiers
Authors: Al Rafayet Rahman, Md. Tafhimul Hasan, Md. Sojib Sheikh, Md. Estiak Ahmed, Bishwajit Chandra Mazumdar, Md. Hasan

Paper ID: 105
Feature Importance of Human Visual Comfort in Naturally Ventilated Mosques Using a Machine Learning Approach
Authors: Md. Hasibul Islam, Md. Hasan, Mohammad Nyme Uddin, Mst. Umma Nourin Sawon, Alip Kumar Paul, Mim Huda

Paper ID: 073
Classifying Floor Level Based on Human Comfort and Environmental Parameters Using Machine Learning Approaches for a Sustainable Indoor Analytics
Authors: G. M. Rahad, Jobayer Hossain, Md. Hasan, Md. Iktekar Alam Imran, Md. Fardin Al Shafik, Md. Estiak Ahmed, Md. Hasibul Islam

Congratulations to all authors for this remarkable achievement!

These works demonstrate how AI-driven approaches can support sustainable decision-making, improve environmental performance, and address real-world challenges in the built environment.

A special appreciation to all researchers for their commitment, teamwork, and contribution toward advancing sustainable built environment research.

Looking forward to witnessing the successful presentations at SURE-Built 2026 and continuing our journey toward innovative, data-driven, and sustainable solutions.

09/07/2026

𝑷𝒖𝒃𝒍𝒊𝒄𝒂𝒕𝒊𝒐𝒏 𝑨𝒏𝒏𝒐𝒖𝒏𝒄𝒆𝒎𝒆𝒏𝒕

We are delighted to announce that a research paper from Building Energy & Environmental Management-BEEM Enhanced by AI has been published in the Association for Computing Machinery (ACM) proceedings of the International Conference on IaaS and PaaS for Europe’s Next-Generation Cloud—NOUS 2026, funded by the European Union. This achievement highlights our research group’s ongoing contribution to the application of Artificial Intelligence, Machine Learning, and data-driven approaches in building energy, environmental management, and occupant thermal comfort research.

Paper Title: 𝘗𝘳𝘦𝘥𝘪𝘤𝘵𝘪𝘯𝘨 𝘵𝘩𝘦 𝘛𝘩𝘦𝘳𝘮𝘢𝘭 𝘊𝘰𝘮𝘧𝘰𝘳𝘵 𝘰𝘧 𝘕𝘰𝘯-𝘈𝘤𝘢𝘥𝘦𝘮𝘪𝘤 𝘞𝘰𝘳𝘬𝘦𝘳𝘴 𝘢𝘵 𝘜𝘯𝘪𝘷𝘦𝘳𝘴𝘪𝘵𝘺: 𝘈 𝘔𝘢𝘤𝘩𝘪𝘯𝘦 𝘓𝘦𝘢𝘳𝘯𝘪𝘯𝘨-𝘉𝘢𝘴𝘦𝘥 𝘈𝘱𝘱𝘳𝘰𝘢𝘤𝘩
Authors: Mehbuba Poroshmoni, Mohammad Nyme Uddin, Jannatul Nayeem, Halima Meem
DOI: https://doi.org/10.1145/3793828.3793840

This publication reflects our continued commitment to advancing interdisciplinary research by integrating machine learning techniques with real-world environmental and occupational comfort challenges.
Congratulations to the authors for this valuable contribution.

30/05/2026

We are pleased to share that our research group has received the official certificates of participation for presenting two research papers at the 3rd International Conference on Information Technologies and Their Applications (ITTA 2026), held in Baku, Azerbaijan, from April 22–24, 2026.

1. Machine Learning–Based Prediction of Lighting Levels in University Classrooms
Authors: Afrin Akter Dolna, Ananna Sardar, Nowshin Nowyer Oyshi, and Mohammad Nyme Uddin

2. CO₂ Concentration Prediction in a Multi-Functional Semi-Open University Auditorium Using Regression-Based Machine Learning Models
Authors: Samia Akter Erin, Firuja Tasneem, Mim Mony, Mst. Umma Nourin Sawon, and Mohammad Nyme Uddin

Receiving these certificates is a meaningful recognition of the dedication, teamwork, and research contributions of all authors and presenters involved in these studies. Congratulations to all contributors on this achievement. We look forward to pursuing more impactful research in the future.

Building Energy & Environmental Management-BEEM Enhanced by AI

25/09/2026

21/09/2026

04/09/2026

22/08/2026

17/08/2026

13/08/2026

24/07/2026

17/07/2026

09/07/2026

30/05/2026

Address

Website

Alerts

Shortcuts

Share

Category

Listing takedown request