Abdullah Al Shamsh Prottay, Emamuzzaman, Tawfik Rakaiyat Ripu, Md Shahid Sarwar et al.
BACKGROUND Anxiety disorder is the most common mental illness and a major contributor to impairment. Thus, there is an urgent need to find novel lead compounds to mitigate anxiety. It is widely recognized that the neurobiology of anxiety-related behavior involves GABAergic systems. OBJECTIVES This r...
Tashdid Ahmed Shitab, Md. Emam Hossain Emon, Anika Ibnat Oni, Anjuman Ara Mim et al.
The integration of bio-robotics and rehabilitation engineering is reshaping healthcare by providing assistive technologies that restore mobility and independence to individuals with neuromuscular impairments, stroke, or limb loss. Among the many approaches, electromyography (EMG)-driven prosthetic c...
Tashdid Ahmed Shitab, Anika Ibnat Oni, Md. Emam Hossain Emon, Razin Rayan Rahat et al.
Point-of-care diagnostics (POCD) rely heavily on microfluidic lab-on-chip systems, yet their design process is often hindered by trial-and-error prototyping and inconsistent reproducibility. Efficient diagnostic performance requires a clear understanding of how advection, diffusion, and biochemical ...
Tashdid Ahmed Shitab, Md. Emam Hossain Emon, Anjuman Ara Mim, Anika Ibnat Oni et al.
Biomedical engineering is undergoing a paradigm shift as sensing hardware, signal processing, artificial intelligence, and human-centered interfaces converge into integrated systems. The complexity of these domains often results in fragmented solutions, each addressing a narrow problem without inter...
Tashdid Ahmed Shitab, Ratul Debnath, Md. Emam Hossain Emon, Shah Md Newaz Sharif Ahad et al.
Underwater Remotely Operated Vehicles (UROVs) are progressively used in inspection, monitoring and exploration activities but their operations are often constrained by environmental disturbances, nonlinear behavior and insufficient real-time feedback. This paper presents a digital twin framework for...
Tashdid Ahmed Shitab, Md. Emam Hossain Emon
Hate speech detection on social media platforms remains an urgent problem due to its harmful social, psychological, and political impacts. In this paper, we evaluate the performance of classical machine learning methods and transformer-based deep learning approaches for detecting hate speech in shor...