Dr. Muhammad Mohsin Khan

mohsin.khan@spcai.paf-iast.edu.pk

Dr. Muhammad Mohsin Khan

Assistant Professor

Biography

Dr. M. MOHSIN JADOON has done post-doctorate research from Department of Radiology and Biomedical Imaging, Yale university, New Haven, CT, USA. He did his PhD in Split degree program i.e. course work from IIUI and research from Queen Merry University (QMU), London, UK in 2018.

Currently he is Assistant Professor at Sino-Pak Center for Artificial Intelligence (SPCAI) Pak-Austria Fachhochschule: Institute of Applied Sciences and Technology (PAF-IAST), Haripur, Pakistan. His research interest is to apply Artificial Intelligence / Machine learning techniques to different domains of IOT, sensor networks and biomedical

Professional Appointments:

  • Assistant Professor, Sino-Pak Center for Artificial Intelligence (SPCAI), March 2022 - Present
  • Lecturer International Islamic University Islamabad (IIUI), Islamabad, Pakistan. 2016-2022
  • Lab Engineer International Islamic University Islamabad (IIUI), Islamabad, Pakistan. 2007-2015

Education

  • Post Doctorate, Yale University, New Haven, USA.
  • Ph.D., Electronic Engineering International Islamic University Islamabad (IIUI), Islamabad, Pakistan. 2018
  • M.Sc. Electrical Engineering International Islamic University Islamabad (IIUI), Islamabad, Pakistan.2010

Publications

  • Hash-mac-dsdv: Mutual authentication for intelligent iot-based cyber-physical systems M Adil, MA Jan, S Mastorakis, H Song, MM Jadoon, S Abbas, A Farouk IEEE Internet of Things Journal
  • Three byte-based mutual authentication scheme for autonomous Internet of Vehicles M Adil, J Ali, M Attique, MM Jadoon, S Abbas, SR Alotaibi, VG Menon,
  • HOPCTP: A Robust Channel Categorization Data Preservation Scheme for Industrial Healthcare Internet of Things.
  • Efficient Pre-Processing and Segmentation for Lung Cancer Detection Using Fused CT Images I Nazir, IU Haq, MM Khan, MB Qureshi, H Ullah, S Butt
  • “Automated Detection of Acute Ischemic Infarct on “Code Stroke” Head CT using Deep Neural Networks” of worth 4.3 million accepted this year.

Skills

Business Planning90%
Business Law70%
Lecture Skill100%