STAR Lab: Sustainable Technology, Applications and Research  Lab

Projects

Medical Imaging: 

• Stress Prediction from Bone Image Analysis

This research project aims to predict the morphological stress and structure analysis from human bone from dicom image of bone. Deep learning based framework can provide a good prediction.

Publication:

• Jamalia Sultana, Mahmuda Naznin,  Tanvir R. Faisal, SSDL–An Efficient Automated Semi-supervised Deep Learning Approach for Patient-specific 3D Reconstruction of Proximal Femur from QCT Images, Medical and Biological Engineering and Computing, Springer (Impact Factor-3.2) , (accepted and in press). 

• Jamalia Sultana, Mashiyat Nayeem, Mahmuda Naznin,  Tanvir R. Faisal, Semi-Supervised Learning Based Femur Segmentation from QCT Images, in Proc. of IEEE 22nd International Conference on Machine Learning and Applications (ICMLA), IEEE, Florida, USA, 2023 

• Jamalia Sultana, Mahmuda Naznin, Tanvir R. Faisal, Automated Femur Isolation In CT Scan Images By Generating Binary Mask-a Critical Step For 3d Femur Reconstruction, Annual Orthopedic Research Society Conference, Dallas, Texas, 2023 

• Dipannoy Das Gupta, Mahmuda Naznin, Tanvir R. Faisal, An Automated Approach for 3D Reconstruction of Femur from CT Data via Pixel Clustering, 17th International Symposium on Computer Methods in Biomechanics and Biomedical Engineering, Bonn, Germany, 2021. 

• Saad Maznur, Mohammad Shaown, Mahmuda Naznin, and Tanvir R. Faisal, Perception Thresholding for Noise Removal in Micrographs of Cellular Tissues Obtained from Fluorescence Microscopy, in Proceedings of IMECE, American Society of Mechanical Engineers (ASME), Pittsburgh, PA, USA, 2018. 

Cognitive Data and Science: 

• Emotion Detection from Voice Data in Multi-lingual Framework 

This research project aims to find human emotion or mental state from voice data. The framework can find the different emotional states based on different features extracted from voice data.

Publication: 

• Jamalia Sultana and Mahmuda Naznin, Breaking the Barrier with a Multi-Domain SER, IEEE COMPSAC, June 2022

• Nazia Hossain, and Mahmuda Naznin, Finding Emotion from Multi-Lingual Voice Data, in Proceedings of IEEE COMPSAC,  Madrid, Spain, 2020 (Best Paper Award).

Quality of Service:

• Resource Provisioning for Virtual Environment 

This project aims to forecast virtual network functions, vCPU using Machine Learning. Virtual resource planning optimizes cost in cloud computing and enhance QoS. 

Publication: 

• Zakia Zaman, Fazle Rafsani, Ishrak R Rahman, Sabidur Rahman, Mahmuda Naznin, DeepVRM: Deep Learning Based Virtual Resource Management for Energy Efficiency, Journal of Network and Systems Management, Springer, vol. 31, issue 4, July, 2023 (Impact Factor- 3.6),  https://doi.org/10.1007/S10922-023-09752-1

• Zakia Zaman, Sabidur Rahman, and Mahmuda Naznin, A Novel Approach for VNF Requirement Prediction Using DNN and LSTM, in Proceedings of IEEE Globecom,  Hawaii, USA,  2019.  

• Secured Content Caching in Named Data Network

In this project  aims to provide a secured and efficient content caching strategy for Named Data Network.   

Publication:

• Ms. Mina, Dipannoy Das Gupta, Mahmuda Naznin, LBCC: A Load Balanced Collaborative Caching in Content Based Networking, in Proc. of IEEE UEMCON,  NY, USA, 2023, https://doi.org/10.1109/UEMCON59035.2023.10316034

• Dipannoy Das Gupta, Pranta Biswas, and Mahmuda Naznin, CacheQueue: Efficient Cache Queue Usage in a NDN, IEEE COMPSAC, June 2022

• Abdullah Al Fuad, Sfiullah Sabuj, Zunayed Ahsan, and Mahmuda Naznin, RLB: Randomized load balanced packet forwarding strategy in name based data networking, in Proceedings of The 4th International Conference on Network Systems and Security (NSysS), IEEE, Dhaka, Bangladesh, 2017. 

People

Faculty/Industry People

Prof. Mahmuda Naznin, Dept. of CSE, BUET

Prof. Alim al Islam, Dept. of CSE, BUET

Dr. Tanvir R. Faisal, 4MLab@ULL (https://www.4mlab.net/),  University of Louisiana, USA

Dr. Suparno Bahar Moni,  Assistant Professor(Orthopedic Surgery), University of Toledo, Ohio, USA

Dr. Sabidur Rahman, AT&T Labs Inc., USA

Current Graduate Students and Volunteer 

Md. Benzir Ahmed, PhD Candidate

Tanjina Helaly, PhD Student

Taufiqun Nur Farid, MS Student

Mohuwa Paul, MS Student

Sheshta, MS Student

Shantana Mridha, MS Student

Nazmul Hasan, MS Student

Mashiyat Nayeem, Undergraduate Research Volunteer (ECE, North South University)

Undergraduate Thesis Students

 10 Undergraduate Thesis Students (4th year, CSE, BUET)