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

ASSISTANT PROFESSOR
PROFILE SUMMARY

Eighteen 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 11 articles in well reputed international journals and conferences. He has successfully supervised 10 Masters’ research thesis and 2 PhD dissertations are in progress. In addition, he is the reviewer 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
MCS Computer Science Minhaj University Lahore 2002
BSc Double Math, Physics Punjab University 1999
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
  1. Web Mining;
  2. Machine Learning;
  3. Text Mining;
  4. Social Network Analysis;
  5. Recommender Systems.
RESEARCH SUPERVISION
1. MS A review helpfulness model as a function of linguistic characteristics
2. MS A Smart Fraud Identification Framework for Job Recruitments
3. MS Identification of Spam Reviews and Reviewers using product reviews
4. MS Location Identification from Online Social Forums
5. MS Defective Products Identification using online reviews
6. MS Rising Stars’ prediction from reviewer network
7. MS Rumour detection framework using Twitter data network
8. MS Identification of propagandistic context from news articles
9. MS Investigation of significant characteristics for review helpfulness
10. MS Review helpfulness as a function of linguistic characteristic
11. MS Identification of online recruitment scams
12. MS Identification of Spam Reviews and Reviewers for Online Products
13. MS Location Prediction from Online Social Forums
14. MS Product Defect Identification from Online Discussion Forums
15. MS Identification of propagandistic context from news articles
JOURNAL PUBLICATIONS
1. Abbas, Yawar., and Malik, MSI (2021). Defective products identification framework using online reviews, Electronic Commerce Research, DOI: https://link.springer.com/article/10.1007/s10660-021-09495-8 (ISI Indexed, IF = 2.64).
2. Nawaz, Aftab., and Malik, MSI (2021). Rising stars prediction in reviewer network, Electronic Commerce Research, DOI: https://link.springer.com/article/10.1007/s10660-021-09476-x (ISI Indexed, IF = 2.64).
3. Mehboob, Asad. and Malik, MSI (2020). “Smart Fraud Detection Framework for Job Recruitments”, Arabian Journal for Science and Engineering
4. Malik, MSI (2020). “Predicting users’ review helpfulness: The role of significant review and reviewer characteristics”. Soft Computing 24 (2): 13913–13928
5. 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.
6. Malik, M. and A. Hussain (2018). “Exploring the influential reviewer, review and product determinants for review helpfulness”. Artificial Intelligence Review, 1-21.
7. 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.
8. 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.
9. 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.
10. 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.
11. 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.

Other Members