Dr. M. Shahid Iqbal Malik (PhD IIU, Islamabad)

ASSISTANT PROFESSOR

shahid.iqbal@cust.edu.pk

+92-51-111-555-666

PROFILE SUMMARY

Seventeen years of career in industry and academia. Dr. Shahid Iqbal started his career from industry as an Embedded Systems Software Engineer in 2002 and served more than thirteen years’ in HVAC industry (Sabro Air-Conditioner Pvt Ltd, Isb). In 2015, he joined academia and served four years in Comsats University, Attock Campus. Dr. Shahid Iqbal did MS in CE from International Islamic University and then completed his PhD in CS from International Islamic University. Currently he is serving as Assistant Professor in the Department of Computer Science at Capital University of Science and Technology, Islamabad. He has published more than six articles in International Journals (Information processing and management, Artificial Intelligence review, Scientometric and Computers in human behavior etc). He has supervised more than 4 MS students and currently supervising MS and PhD students. He is the reviewers of famous International Journals (Information processing and management, PLOS one, IEEE Access, Artificial intelligence review, Cognitive Systems research etc).

QUALIFICATION
PhD	Computer Science	International Islamic University, Islamabad	2018
MS	Computer Engineering	International Islamic University, Islamabad	2011

TEACHING EXPERIENCE
Assistant Professor	Capital University of Science and Technology (CUST), Islamabad	Since – 2019
Lecturer	Comsats University Attock Campus	2015 – 2019

INDUSTRIAL EXPERIENCE
Manager ES Software	Sabro Air-Conditioner Pvt Ltd, Isb	2007 – 2015
Senior Engineer	Sabro Air-Conditioner Pvt Ltd, Isb	2005 – 2007
ES Engineer	Sabro Air-Conditioner Pvt Ltd, Isb	2003 – 2005

MEMBERSHIP OF PROFESSIONAL BODIES
Supervisor	HEC Approved supervisor in Computer Science

HONORS & AWARDS
1.	Secured 1st position in MS in the Department of C&EE at International Islamic University, Islamabad – 2011.
2.	Awarded Scholarship under HEC indigenous PhD program – 2014.

RESEARCH AREAS / INTERESTS

Web Mining;
Machine Learning;
Text Mining;
Social Network Analysis;
Recommender Systems.

RESEARCH SUPERVISION
1.	MS	Review helpfulness as a function of linguistic characteristic
2.	MS	Identification of online recruitment scams
3.	MS	Identification of Spam Reviews and Reviewers for Online Products
4.	MS	Location Prediction from Online Social Forums
5.	MS	Product Defect Identification from Online Discussion Forums

JOURNAL PUBLICATIONS
1.	Malik, M. and A. Hussain (2018). “An analysis of review content and reviewer variables that contribute to review helpfulness.” Information Processing & Management 54(1): 88-104.
2.	Malik, M. and A. Hussain (2018). “Exploring the influential reviewer, review and product determinants for review helpfulness”. Artificial Intelligence Review, 1-21.
3.	Hamad, Malik, M. Iqbal Khalid (2018). Review helpfulness as a function of Linguistic Indicators. International Journal of Computer Science and Network Security. 18(1). 234-240.
4.	Malik, M. and A. Hussain (2017). “Helpfulness of product reviews as a function of discrete positive and negative emotions.” Computers in Human Behavior 73: 290-302.
5.	R Khan, HU Khan, MS Faisal, K Iqbal, MSI Malik (2016). An Analysis of Twitter users of Pakistan. International Journal of Computer Science and Information Security 14 (8), 855.
6.	A Daud, M Ahmad, MSI Malik, D Che (2015). Using machine learning techniques for rising star prediction in co-author network. Scientometrics 102 (2), 1687-1711.
7.	MSI Malik, S Asghar (2014). Inverse free steering law for small satellite attitude control and power tracking with VSCMGs. Advances in space research 53(1), 97-109.

CONFERENCE PUBLICATIONS
1.	Muhamad Fawad, Muhammad Shahzad Faisal, Naeem Iqbal, Nafees Ahmad, MSI Malik. Sentiment Based Spam Detection in Blogs, The International Conference on Deep Learning and Machine Learning in Emerging Applications. 2019.
2.	Faisal Rehman, MSI Malik, Muhamad Shahzad Faisal. Significance of Linguistic Indicators for Location Prediction. 6th Intl. Conference on Soft Computing & Machine Intelligence, November 19-20, 2019, Johannesburg, South Africa.

Our Team