The BIOMISA Lab is dedicated to advancing biomedical imaging, signa l analysis, and artificial intelligence. Focused on interdisciplinary innovation, the lab leverages state-of-the-art technologies to develop solutions for critical challenges in healthcare and medical diagnostics. BIOMISA is particularly known for its work in areas such as non-invasive diagnostic imaging, machine learning for medical applications, and sustainable pathology practices. With a strong commitment to research excellence and collaboration, the lab partners with international institutions and industry leaders to push the boundaries of biomedical research and contribute to global healthcare advancements.

Dr. Muhammad Usman Akram is currently serving as Tenured Professor and Head of Computer & Software Engineering Department at NUST College of EME. Dr. Usman is the co-founder and director of the Biomedical Image/Signals Analysis Lab and NUST-spinoff, RISETech (Research and Innovation in Sciences, Engineering and Technology) Pvt Ltd. Dr Usman has published more than 300 research articles, successfully supervised 18 PhD and 100+ master scholars. He has filed more than 20 intellectual properties and was granted with 02 international patents and 07 national ones.

To commercialize the innovations, he has also licensed 11 intellectual property rights to the industry. Dr. Usman received multiple national and international awards including Tamgha-e-Imtiaz in the field of Engineering by the Govt. of Pakistan.

Capabilities of Lab:

• Biomedical Image Processing & Analysis
• Physiological Signal Analysis
• Artificial Intelligence, Machine Learning & Deep Learning
• Data Analytics
• Embedded Systems for wearable/medical devices

Lab Equipment/Resource:

• •             Raspberry Pi 3B+
•          Raspberry Pi Model B+ V1.2
•          Raspberry Pi 2 Model B v1.1
•          Raspberry Pi 3
•          Raspberry Pi 7" Touchscreen Display
•          Raspberry Pi 4 B
•          Raspberry Pi 5
•          DF Robot EMG Sensors
•          Sparkfun EMG sensors
•          MYO EMG Band
•          STM32 Development Board
•          EMG Sensor
•          Emotive EEG Cap
•          Nordic Thingy IoT Sensor Kit
•          Nordic Development Kit
•          Nordic Programmer/Debugger
•          Nordic Power profiler
•          Mail Buddy Antennas
•          Dragino LoRaWAN Gateway
•          Oculus Rift
•          Jetson Nano Developer Kit
•          Consensus GSR Development Kit
•          Nvidia Jetson Nano
•          3D Printer
•         Computing Stations with GPUs

Full time Human Resource:

• – 10x PhDs and 18+ MS (under supervision-on going)
  – Paid Research Associates

  Further details available at www.biomisa.org

  Projects undertaken:

  Projects undertaken:

  • Ocular Imaging Research and Reading Center (OIRRC), California, USA

  AI Based Ophthalmology Grader 

  • University of Pittsburg, USA

  Virtual reality based therapy for Amblyopia 

  • Glasgow Caledonian University, UK

  Cloud Based AI Grader For CXR

  • Chiropractic New Zealand

  Analysis of Physiological Data For Optimal Diagnosis and Recovery in Non-Pharmacological Therapies

  • Haavik Research, New Zealand 

  Application to mimic chiropractic  

  • Rutgers Medical School

  Staining of skin tissue samples

  • NIDI Skin, USA

  Non invasive analysis of skin

  • NUST School of Health Sciences, NORI, CDA Hospital

  Machine learning and Deep learning based analysis to estimate DEXA Score and Osteoporosis Detection 

  • NUST School of Health Sciences, PIMS, NORI

  Portable Microscope to analyze Hematological Slides using Generative AI and deep Tech