Email: kaleemnawaz@uetmardan.edu.pk
LinkedIn: www.linkedin.com/in/kaleemnawazkhan6161
GitHub: https://github.com/KaleemFAST
ResearchGate: https://www.researchgate.net/profile/Kaleem-Khan-5
Website: https://sites.google.com/uetpeshawar.edu.pk/kaleem-nawaz-khan
Google Scholar: https://scholar.google.com/citations?user=nQYFXdgAAAAJ&hl=en&authuser=1
Address: Department of Computer Science, UET Mardan

Lecturer, Department of Computer Science, University of Engineering and Technology (UET), Mardan (January 2021, Present)

Senior Lecturer, Department of Computer Science, Bahria University Islamabad Campus, (September 2020, January 2021)

Project Team Lead, in the research project Artificial Intelligence in Healthcare at National Center of AI (NCAI), Peshawar, funded by Higher Education Commission (HEC) of Pakistan (April 2019-September 2020)

Instructor and RO, Department of Computer Science, at FAST-National University of Computer and Emerging Sciences, Peshawar, Pakistan. (July 2015- March 2019)

Masters in Computer Science, MS (CS), Jan-2018
FAST-National University of Computer and Emerging Sciences, Peshawar, Pakistan.

Bachelors in Computer Science, BS (CS) with distinction June-2015
FAST-National University of Computer and Emerging Sciences, Peshawar, Pakistan.

• Prime Minister National ICT R&D Fund Scholarship BS (CS), 2011-2015  
• MS Fellowship at FAST-National University of Computer and Emerging Sciences, Peshawar, Pakistan for MS (CS), 2015-2017 
• Silver Medal BS (CS), FAST-National University of Computer and Emerging Sciences, Peshawar, Pakistan 2011-2015
• Stoori da Pakhtunkhwa Merit Certificate

FAST-National University of Computer and Emerging Sciences (NUCES), Peshawar Campus
Former Faculty head of FAST Software Development Society
 

Projects

• Computer-aided Phonocardiograms Classification using Multidomain Time and Frequency Features
• Human Postures Classification and Fall Detection using Convolutional Neural Network
• Performance Evaluation of Background Subtraction Techniques for Video Frames
• Automated Assessment of Lymphocytes Using Machine Learning Techniques
• Evaluation of Preprocessing Techniques for U-Net Based Automated Liver Segmentation
   

University of Engineering and Technology (UET) Mardan
Career Liaison Officer (CLO)

Bahria University Islamabad Campus
Final Year Project Examiner

University of Engineering and Technology (UET) Peshawar
Project Team Lead, in the research project Artificial Intelligence in Healthcare at National Center of AI (NCAI), Peshawar, funded by Higher Education Commission (HEC) of Pakistan

FAST-National University of Computer and Emerging Sciences (NUCES), Peshawar Campus
Faculty head of FAST Software Development Society

Digital Healthcare, Artificial Intelligence, Medical Image Processing

Journal Publications

1. Khan, K. N., Khan, F. A., Abid, A., Olmez, T., Dokur, Z., Khandakar, A., ... & Khan, M. S. (2021). Deep learning based classification of unsegmented phonocardiogram spectrograms leveraging transfer learning. Physiological Measurement (Impact factor = 2.833)  https://doi.org/10.1088/1361-6579/ac1d59
2. K. N. Khan, M. S. Khan, M. Nauman, M. Y. Khan, and Muhammad. E. H. Chowdhury “Op2Vec: An Opcode Embedding Technique and Dataset Design for End-to-End Detection of Android Malware”, under review in Journal of Information Security and Applications (Impact factor = 3.872) https://arxiv.org/abs/2104.04798
3. M. S. Khan, A. Ullah, K. N. Khan, H. Riaz, Y. M. Yousafzai, T. Rahman and E.H. Chowdhury “Automated Assessment of Thalassaemia from Haemoglobin Electrophoresis Images using Convolutional Neural Network” under review in Computer Methods and Programs in Biomedicine Update 

Conference Publications

1. J. Dastagir, F. A. Khan, K. N. Khan, M. S. Khan, “Computer-aided Phonocardiograms Classification using Multidomain Time-Frequency Features”, in IEEE International Conference on Artificial Intelligence ICAI’2021 (https://ieeexplore.ieee.org/document/9445235/)
2. R. Hasib, K. N. Khan, M. Yu, M. S. Khan, “Human Postures Classification and Fall Detection using Convolutional Neural Network”, in IEEE International Conference on Artificial Intelligence ICAI’2021 (https://ieeexplore.ieee.org/document/9445263/)
3. S. Qasim, K. N. Khan, M. Yu, M. S. Khan, “Performance Evaluation of Background Subtraction Techniques for Video Frames”, in IEEE International Conference on Artificial Intelligence ICAI’2021 (https://ieeexplore.ieee.org/document/9445253/)
4. A. Ahmad, A. Ullah, K. N. Khan, M. S. Khan, “Automated Assessment of Lymphocytes Using Machine Learning Techniques”, in IEEE International Conference on Artificial Intelligence ICAI’2021 (https://ieeexplore.ieee.org/document/9445242/) 
5. M. Islam, K. N. Khan, M. S. Khan, “Evaluation of Preprocessing Techniques for U-Net Based Automated Liver Segmentation”, in IEEE International Conference on Artificial Intelligence ICAI’2021 (https://ieeexplore.ieee.org/document/9445204/

• Invited as a speaker for a talk on the topic “Artificial Intelligence in Healthcare” at 2nd International Public Health Conference. Khyber Medical University, Peshawar, Pakistan (Feb 25th to 27th, 2020)
• Invited as a trainer for “One-day Hands-on Workshop in Machine learning and Artificial Intelligence” at Department of Electrical Engineering, UET Peshawar, Jalozai Campus (09 Jan 2020) 
• Participated in 3rd IAPR, Summer School on Document Analysis, National University of Science and Technology, Islamabad, Pakistan (19 Aug, 2019 to 23 Aug, 2019) 
• Participated in professional training workshop on “The Nitty Gritty of Public Speaking” at FAST-National University of Computer and Emerging Sciences, Islamabad, Pakistan (22 Oct, 2018 to 23 Oct, 2018)