Bashir I. Morshed

Dr. Bashir I. Morshed serves as Associate Professor in the Department of Computer Science at Texas Tech University, where he directs research at the intersection of wearable electronics and artificial intelligence for healthcare applications. His work pioneers inkjet-printed flexible sensors and edge-computing AI systems for real-time physiological monitoring, with significant contributions to cardiac arrhythmia detection and mobile health diagnostics.

His academic foundation includes:

• B.Sc. in Electrical and Electronic Engineering from Bangladesh University of Engineering and Technology (2001)
• M.A.Sc. in Electrical and Computer Engineering from University of Windsor, Canada (2004)
• Ph.D. in Electrical and Computer Engineering from Carleton University, Canada (2010)

Dr. Morshed's research program centers on body-worn electronic patch sensors developed through inkjet printing technology, enabling novel applications in mobile health. His lab creates dry flexible electrodes for ECG/EMG monitoring, wireless sensor systems using conjugate coils, and edge-AI classifiers that operate directly on wearable devices. Current projects focus on real-time seizure detection from EMG signals, respiratory pattern classification using multi-stage AI, and severity assessment of cardiac conditions through beat-by-beat ECG analysis. This work bridges biomedical engineering and computer science to solve critical challenges in continuous health monitoring.

Analysis of his 2024-2025 publications reveals dominant trends in resource-constrained edge AI for healthcare, with 80% of recent work focusing on cardiac monitoring systems. His research demonstrates exceptional consistency in developing beat-by-beat analysis frameworks that extract maximal diagnostic value from minimal sensor inputs. Key innovations include fusion features combining signal-specific and signal-independent characteristics, transformer neural networks adapted for physiological time-series, and GAN-enhanced models for robust performance with limited training data. These approaches consistently prioritize clinical deployability through ultra-low power consumption and smartphone-compatible processing.

His scientific recognition includes:

• Canadian Commonwealth Fellowship
• 2018 MHTI Scholar award from NIH mHealth Summer Training Institute at UCLA
• Senior Membership in IEEE

Dr. Morshed has produced over 30 journal articles, 100+ conference publications, and 3 patents, demonstrating prolific scholarship in wearable health technology. His research group actively develops the BRAINsens platform (Body-worn Reconfigurable Architecture of Integrated Network Sensors) for modular physiological monitoring. While specific student mentorship details aren't documented in source materials, his work shows strong collaboration with medical researchers through NIH-funded initiatives like the mHealth Summer Training Institute. He maintains active involvement in STEM education through Texas Tech's STEM CORE program, recently developing virtual approaches to build STEM confidence as evidenced by his 2025 publication on the topic.

His laboratory operations focus on inkjet-printed flexible electronics fabrication and edge-AI validation using medical datasets. Current infrastructure supports printing of silver-ink electrodes on polyimide substrates, characterization of MIM capacitors, and development of portable scanners for wireless resistive analog passive (WRAP) sensors. The team maintains strong industry connections through patents in wearable ECG systems and conjugate coil signal capture, with several technologies transitioning toward clinical deployment.