Dr. Hashim Ali

Assistant Professor


Hashim Ali is an experienced professional with more than 12 years of cutting-edge industrial research and teaching experience in prestigious institutions. He received the B.Sc. degree in Computer Engineering from the University of Engineering and Technology Taxila, Pakistan, in 2005, and the M.Sc. and Ph.D. degrees in Engineering of Computing Systems and Computer Science, specialization in Embedded Systems, from the Politecnico di Milano, Italy, and University of Milan-Bicocca, Italy, in 2011 and 2015, respectively. 

In the industry, he has worked in Pervasive Computing, Intelligent Systems, Machine Learning, and Embedded Systems Design, Algorithm Design, Human-centered Design, Internet of Things (IoT). He has been with the Department of Computer Science and Engineering, HITEC University, Taxila, Pakistan, as an Assistant Professor from Aug 2015 to Jan 2021Currently, he is associated with Pak-Austria Fachhochschule: Institute of Applied Science & Technology. 

Dr. Hashim is a Senior Member of the Institute of Electrical Electronics Engineering (IEEE)Member of the International Association of Engineers, and the Life Member of Pakistan Engineering Council, Pakistan. 


  • Completion Date: February 2015 Degree title: PhD Organization Name: University of Milano-Bicocca, Italy
  • MS in Engineering of Computing Systems Organization Name: Politecnico di Milano, Italy ,2011
  • BSc. in Computer Engineering Organization Name: University of Engineering and Technology, Taxila, Pakistan ,2005


  • A Unified Design of ACO and Skewness based Brain Tumor Segmentation and Classification from MRI Scans," Control Engineering and Applied Informatics, Vol. 22(2), pp. 43-55, June 2020.
  • "Melanoma Detection and Classification using Computerized Analysis of Dermoscopic Systems: A Review," Current Medical Imaging, Vol. 15(10), May 2020.
  • review of Automated Computerized Methods for Brain Tumor Segmentation and Classification", Current Medical Imaging, Vol. 15(10), pp. 3-11, November 2019.
  • Intelligent Human Action Recognition: A Framework of Optimal Features Selection based on Euclidean Distance and Strong Correlation," Control Engineering and Applied Informatics, Vol. 21(3), pp. 3-11, September 2019.
  • Human Behavior Analysis based on Multi-types Features Fusion and Von Nauman Entropy based Features Reduction," Journal of Medical Imaging and Health Informatics, Vol. 9(4), pp. 662-669, American Scientific Publishers, May 2019.
  • "CCDF: Automatic system for segmentation and recognition of fruit crops diseases based on correlation coefficient and deep CNN features," Computers and Electronics in Agriculture, Vol. 155, pp. 220-236, Elsevier Science Ltd., October 2018.

Awards & Prizes

  • Machine Learning-Based Clinical Decision Support System for Early Diagnosis from Real-Time Physiological Data.
  • Development of an Effective Hardware Integration Layer of Wearable Sensors for Re-mote Health Monitoring System.
  • Cross-Platform Software Application Development for Remote Health Monitoring System.


  • Award Title: Best Research Paper Awarding Institute Name: Malaysia Technical Scientist Association ,2017
  • Award Title: Research Travel Award Awarding Institute Name: Higher Education Commission Pakistan ,2017
  • Award Title: Best Research Paper Awarding Institute Name: International Conference of Emerging Technologies ,2016
  • Award Title: Industrial Research Funding of worth € 54K Awarding Institute Name: Contexta Network Solutions, S.r.l, Italy ,2012
  • Award Title: Graduate Student Fellowship of worth € 20K Awarding Institute Name: Politecnico di Milano, Italy , 2008