Ali Haider Khan - AI - Best Researcher Award
Ziauddin University - Pakistan
AUTHOR PROFILE
SCOPUS
EXPERIENCE
Ali Haider Khan is a seasoned biomedical engineer with extensive experience across various hospitals and enterprises in Pakistan. His tenure at Bahawal Victoria Hospital involved working with clinical laboratory equipment, ensuring their optimal functionality. At Al-Qadir Enterprises, his role in Radiology, Ultrasound, and Operating Theaters showcased his commitment to enhancing patient care. His earlier internships at Doctor’s Hospital and Ziauddin Hospital provided him with a solid foundation in biomedical engineering, covering aspects from service and safety to supply chain management.
UNIVERSITY PROJECTS
Ali's academic projects demonstrate his innovative spirit and technical expertise. His pioneering work on the real-time recognition of Pakistani Sign Language through a web application highlights his proficiency in using CNN and LSTM models. Additionally, his research on the trans-vascular transport efficiency of nanoparticles in tumor microenvironments via Computational Fluid Dynamics (CFD) shows his adeptness in using Ansys software. His project on anxiety detection and massage-based control through pulse oximetry exemplifies his ability to combine technology and healthcare for therapeutic solutions.
SKILLS & INTERESTS
Ali is well-versed in frontend development, Python, Microsoft Azure, and various other technical tools like Visual Studio and Jupyter Notebook. His creative skills extend to Photoshop and Canva, and he is an effective communicator. Outside of his professional interests, Ali enjoys playing cricket and table tennis and has a keen interest in researching economic issues.
ACHIEVEMENTS
Ali's accomplishments are a testament to his dedication and continuous learning. He completed a crash course on Python by Google and participated in the 7th All Pakistan DUHS-DICE Health Innovation Exhibition. His proficiency in the German language was honed at the Goethe Institute, Karachi. He also attended the IEEE Asia Pacific Comsoc Summer School on Autonomous Systems and completed courses on web development and artificial intelligence from prestigious institutions like the University of Michigan and Accenture.
MEMBERSHIPS
Ali is an active member of several esteemed organizations, including the Harvard Business School Club of Pakistan, the Institute of Electrical and Electronics Engineers (IEEE), and the Society for Peace and Harmony. These memberships reflect his commitment to professional development and community engagement.
PUBLICATIONS
Ali has contributed significantly to the field of biomedical engineering and computer science through his publications. His work on the recognition and classification of the Urdu sign language dataset was published in PeerJ Computer Science. He also co-authored papers on deep learning approaches to Pakistani Sign Language recognition and the simulation of transvascular transport of nanoparticles in tumor microenvironments, published in top journals like Scientific Reports and Engineering Applications of Artificial Intelligence.
FUTURE DIRECTIONS
Looking ahead, Ali aims to further his research in biomedical engineering, focusing on innovative solutions that bridge technology and healthcare. His future projects will continue to explore advanced applications of artificial intelligence and computational methods to improve patient care and medical outcomes.
NOTABLE PUBLICATION
Simulation of Transvascular Transport of Nanoparticles in Tumor Microenvironments for Drug Delivery Applications
Authors: Shabbir, F., Mujeeb, A.A., Jawed, S.F., Khan, A.H., Shakeel, C.S.
Year: 2024
Journal: Scientific Reports
Volume: 14
A Neural-Network Based Web Application on Real-Time Recognition of Pakistani Sign Language
Authors: Mujeeb, A.A., Khan, A.H., Khalid, S., Mirza, M.S., Khan, S.J.
Year: 2024
Journal: Engineering Applications of Artificial Intelligence
A Computer Vision-Based System for Recognition and Classification of Urdu Sign Language Dataset
Authors: Zahid, H., Rashid, M., Syed, S.A., Mujeeb, A.A., Khan, A.H.
Year: 2022
Journal: PeerJ Computer Science