Fazlea Rabby, a graduate from North South University majoring in Computer Science and Engineering (june 2024), thrives on exploring the intersections of Human-Computer Interaction, innovative healthcare technologies, Deep learning, Machine learning and deep qualitative insights. He is passionate about working in collaborative lab environments and deeply drawn to the academic world.

Contact: fazlea.rabby@northsouth.edu 

Neazmul Mowla completed his Bachelor of Science in Computer Science and Engineering at North South University. His main research focus is on machine learning to address important challenges in our days, including mental health, health crises caused by climate change, and daily healthcare. In particular, he investigates generative models and active learning for scientific discovery, such as early disease detection and predictive health metrics, with an emphasis on computationally efficient models. He is currently investigating active learning and few-shot learning approaches for cervical cancer analysis, focusing on overcoming data scarcity and explainability.

Contact: neazmul.mowla@northsouth.edu 

Sadia Afra Ibnat holds a Bachelor of Science in Electrical & Electronics Engineering, graduating in December 2023. She is a dedicated researcher with a profound interest in leveraging diverse technological applications and data analysis for human health monitoring. Currently serving as a Junior Product Manager, she brings a multidisciplinary skill set to her work, combining her engineering expertise with a certification in Digital Product Management. She is passionate about both research and teaching.

Contact: sadia.afra@northsouth.edu 

Ridwan Rahman graduated with a B.Sc. degree in Electrical and Electronic Engineering from North South University (NSU) in 2025. His research interests include brain-inspired computing, wearable devices, semiconductor technologies, and analog circuit design, with particular enthusiasm for biomedical signal processing and embedded systems. He is currently exploring unconventional territories in cuffless non-invasive blood pressure (cNIBP) measurement, pursuing calibration approaches that balance accuracy and user comfort.

Email: ridwanrahman207@gmail.com

LinkedIn: www.linkedin.com/in/ridwan-rahman-207c

Mohammed Mofiz Uddin completed his Bachelor of Science in Electrical and Electronics Engineering from North South University. His research interests include robotics, intelligent systems, and embedded hardware systems, with a particular emphasis on Human–Robot Interaction, Human–Computer Interaction, and autonomous systems. He is leveraging his previous experience with wearables to develop a novel cuffless blood pressure monitoring system for elderly care. His work involves training deep learning models on imbalanced physiological datasets and designing a robust fall detection algorithm to enhance safety monitoring. He also contributes to the North South Intelligent Robotics (NIRO) Lab's autonomous quadrotor project for environmental sensing, focusing on optimal path planning for air quality monitoring. 

Email: mohammed.mofiz161@gmail.com

LinkedIn: www.linkedin.com/in/mofizuddin

Shakhawat completed his BSc in Electrical and Electronic Engineering from Shahjalal University of Science and Technology (SUST), Sylhet, in 2024. He is currently pursuing his PhD at Baylor University. His research interests include metamaterials, photonics, nonlinear optics, optoelectronics, and biosensors. 

Contact: sh.shakib125@gmail.com 

Tanzila, completed her graduation from Department of Biomedical Engineering, BUET in 2023. She aims to work for better health care of humans. She is experienced in COMSOL, MIMICS, 3-matic ,Ansys like different fluid and heat Dynamics, Machine learning, Deep learning with TensorFlow as a part of System biology lab, BUET. She has worked as a mentor in biology and Robotic Olympiad. 

Contact: tanzilaakterbme@gmail.com