Dr. Azhar Mahmood (PhD HUST, China)

ASSOCIATE PROFESSOR

azhar.mahmood@cust.edu.pk

+92-51-111-555-666

PROFILE SUMMARY

Dr. Azhar Mahmood has completed Ph.D. in Computer Applied Technology from Huazhong University of Science and Technology (HUST) Wuhan China. He is currently working as an Associate Professor in the Faculty of Computing at Capital University of Science & Technology (CUST), Islamabad, Pakistan. His research interest includes IoT, Data Mining, Smart Homes & Building Technologies. He has published in various international journals and conference proceedings. Dr. Azhar is currently working on various national & international projects like Health Information Exchange System, ICU Automation and Mortality Prediction, Integration of Predictive Services in Smart City, and a Smart Wellness Detection solution for the elderly people.

QUALIFICATION

PhD	Computer Applied Technology	Huazhong University of Science and Technology (HUST), Wuhan	2013
MS	Software Engineering	Shaheed Zulfikar Ali Bhutto Institute of Science & Technology Islamabad (SZABIST), Pakistan	2010
MSc	Computer Science	Sir Syed University of Engineering & Technology Karachi (SSUET), Pakistan	2006

TEACHING EXPERIENCE
Associate Professor	Capital University of Science and Technology (CUST), Islamabad	Since – 2020
Associate Professor	SZABIST Islamabad, Pakistan	2018 – 2020
Assistant Professor	SZABIST Islamabad, Pakistan	2015 – 2018
Assistant Professor	NANCHNAG University Jiangxi China	2013 – 2014

INDUSTRIAL EXPERIENCE
Senior System Analyst	IBM Business Partner, Pakistan	2008 – 2010
Project Manager	MAKABU Pvt. Ltd, Pakistan	2006 – 2008

HONORS & AWARDS
1.	Awarded HEC Project of 81 Million under National Centers of Research and Innovation in Emerging Areas of science and technology 2018 (Big Data and Cloud Computing).
2.	Research Fund for the Doctoral Program of Higher Education under Grant No.20110142110062 and International S&T Cooperation Program of Hubei Province China under Grant No. 2010BFA008.
3.	Science and Technology Department of Jiangxi Province, Grant No: 20132BDH80017 and Project Name: Research for Mortality Prediction of ICU Patient based on Intelligent Computing.
4.	Joint Funds of NSFC-Microsoft Research Asia under Grant No. 60933012, the Specialized Research Fund for the Doctoral Program of Higher Education under Grant No.20110142110062 and International S&T Cooperation Program of Hubei Province under Grant No. 2010BFA008.
5.	Chinese National Natural Science Fund Grant No: 61070139 and Project Name: Research on Ontology Modeling based on Granular Computing Theory and Methodology.

RESEARCH SUPERVISION
1.	PhD	A Context Aware Wellness Determination Model (CAWDM)for Elderly People living in a Smart Homes.
2.	PhD	A Novel Fine-Grained Sentiment Exploration Approach for Movie Reviews
3.	MS	A Predictive Approach for On-Street Parking Slots in Smart City using Multisource Data
4.	MS	An AutoML Framework for Predictive Analytics of Smart City Applications
5.	MS	An Earthquake Magnitude Prediction Model using Regression Analysis Techniques
6.	MS	Predicting under-five Child Mortality in Maternal & Child Health care Program(MNCH) of Pakistan
7.	MS	Prediction of Treatment Failure in Tuberculosis using Machine Learning Techniques
8.	MS	A Predictive Model for HIV/AIDS based on Socio-Demographical, Biological and Behavioral Data using Data Mining Techniques
9.	MS	Multi-Stage Breast Cancer Predication Model Using Supervised Classification Techniques
10.	MS	GMSCA – A Generic Internet of Things (IoT) Middleware for Smart City Applications

JOURNAL PUBLICATIONS
1.	J. Mir, A. Mahmood, “Movie Aspects Identification Model for Aspect Based Sentiment Analysis, “Information Technology and Control Journal” Vol 49, No 4 December 2020. (Accepted, ISI Indexed, IF 0.90)
2.	S. Qazi, M. Usman, A. Mahmood et al., Smart Healthcare Using Data-Driven Prediction of Immunization Defaulters in Expanded Program on Immunization (EPI), “Computers, Materials & Continua Journal,. (Accepted, ISI Indexed, IF 4.89).
3.	S. Qazi, M. Usman, A. Mahmood, “A data-driven framework for introducing predictive analytics into expanded program on immunization in Pakistan”, September 2020, Wiener klinische Wochenschrift, The Central European Journal of Medicine. (ISI Indexed, IF 1.323).
4.	M. Asad, A. Mahmood, M. Usman, “A Machine Learning-based Framework for Predicting Treatment Failure in Tuberculosis: A Case Study of Six Countries”, Tuberculosis Journal, vol. 123, Article 101944, June 2020(ISI Indexed, IF 2.56).
5.	M. Islam, M. Usman, A. Mahmood et al., “Predictive Analytics Framework for Accurate Estimation of Child Mortality Rates for Internet of Things enabled smart healthcare systems, “International Journal of Distributed Sensor Networks”, Volume: 16 issue: 5, (ISI Indexed, IF 1.787).
6.	F. Ujager, A. Mahmood, Wellness Determination of Elderlies using Spatio-temporal Correlation Analysis of Daily Activities, “Journal of Ambient Intelligence and Smart Environments”, vol. 11, no. 6, pp.515-526, Nov 2019.(ISI Indexed, IF 1.595).
7.	F. Ujager, A. Mahmood et al., A Context-Aware Accurate Wellness Determination (CAAWD) Model for Elderly People Using Lazy Associative Classification, “Sensors” Vol. 19, Pages 1613 April 2019. (ISI Indexed, IF 3.275).
8.	N. Khan, A. Mahmood, A Distinctive Approach to Obtain Higher Page Rank through Search Engine Optimization, “SADHANA – Academy Proceedings in Engineering Sciences” March 2018. (ISI Indexed, IF 0.849).
9.	J. Mir, A. Mahmood, S.Khatoon, Aspect based Classification Model for Social Reviews, “Engineering Technology and Applied Science Research” Vol 7, No 6 December 2017, (ISI Indexed).
10.	M Imran, A. Mahmood, S.Khatoon, An Energy Efficient Model for WSN’s Monitoring Applications, “International Journal of Computer Science and Information Security” Nov 2016): 363-373, (ISI Indexed).
11.	Farhan Sabir Ujager , A. Mahmood et al, Evaluation of Wellness Detection Techniques using Complex Activities Association for Smart Home Ambient, “International Journal of Advanced Computer Science and Applications” Vol7 No. (8): September 2016, (ISI Indexed).
12.	Mariam Al-Khalifa, S.Khatoon, A. Mahmood et al, Factors Influencing Patients ” Attitudes to Exchange Electronic Health Information in Saudi Arabia: An Exploratory Study, “International Journal of Advanced Computer Science and Applications” Vol7 No. (8) September 2016, (ISI Indexed).
13.	Xu. Jianfeng, L. Yu, A. Mahmood et al WSN Missing Data Imputing Based on Multiple Time Granularity, “International Journal of Future Generation Communication and Networking” Vol. 9, No. 6 (2016), (ISI Indexed).
14.	M.A. Mehmood, A. Mahmood, M.N.A Khan et al. A Scenario-Based Distributed Testing Model for Software Applications, “International Journal of Advanced and Applied Sciences” Volume 3, Issue 10, October 2016, Pages: 64-71, (ISI Indexed).
15.	JianfengXu, Yuanjian Zhang , A. Mahmood et al. , Data Mining on ICU Mortality Prediction using Early Temporal Data, “International Journal of Information Technology and Decision Making” December 2016, (ISI Indexed, IF 1.894).
16.	A. Mahmood, K. Shi, S. Khatoon et al., “Data mining techniques for wireless sensor networks: A survey,” International Journal of Distributed Sensor Networks, 2013, (ISI Indexed, IF 1.787).
17.	S. Khatoon, G. Li, and A. Mahmood, “Comparison and evaluation of source code mining tools and techniques: A qualitative approach,” Intelligent Data Analysis, vol. 17, no. 3, pp. 459-484, 201, (ISI Indexed, IF 0.77).
18.	Muhammad Imran, Rathiah Hashim, Aun Irtaz, A. Mahmood, Umair Abdullah. Class Wise Image Retrieval Through Scalable Color Descriptor and Edge Histogram Descriptor, “International Journal of Advanced and Applied Sciences” Volume 3, Issue 12 , December 2016, Pages: 32-36, (ISI Indexed) .
19.	Raazia Anum, Muhammad Imran, Rathiah Hahsim, A. Mahmood, Saqib Majeed. A Hybrid Particle Swarm Optimization (PSO) with Chi-Square and Stable Mutation Jump Strategy, “International Journal of Advanced and Applied Sciences” Volume 3, Issue 12 December 2016, Pages: 49-54, (ISI Indexed).
20.	Xu. Jianfeng, Li. Yu, A. Mahmood et al., “A Quotient Space Based Clustering Protocol for WSNs,” Information Technology Journal, vol. 13, no. 15, pp. 2442, 2014(Scopus, EI)
21.	J. Xu, Y. Zhang, A. Mahmood et al., “A Hybrid Framework for ICU Mortality Prediction,” Journal of Software Engineering, vol. 8, no. 4, pp. 361-374, April 2014, (Scopus, EI)
22.	A. Mahmood, K. Shi, and S. Khatoon, “An Efficient Distributed Data Extraction Method for Mining Sensor Networks Data,” International Journal of Computer Science Issues, vol. 10, no. 1, Jun 2013. (Scopus, EI)
23.	A. Mahmood, and S. Khatoon, “An Approach to Generate Test Goals from Use Case Scenarios,” Information Technology Journal, vol. 12, no. 8, pp. 1600, 2013. (Scopus, EI)
24.	S. Khatoon, A. Mahmood, and G. Li, “A Novel Integrated Framework to Increase Software Quality by Mining Source Code,” Journal of Software Engineering vol. 7, no. 3, pp. 86-105, March 2013. (Scopus, EI)
25.	A. Mahmood, K. Shi, and S. Khatoon, “Mining data generated by sensor networks: a survey,” Information Technology Journal, vol. 11, no. 11, pp. 1534, 2012.(Scopus, EI)
26.	S. Khatoon, and A. Mahmood, “Methodology for mapping business process into execution language,” International Journal of Engineering Science and Technology (IJEST), vol. 3, no. 1, 2011.

CONFERENCE PUBLICATIONS
1.	A. Mahmood, K. Shi, and S. Khatoon, “Controlling in-patient environment by mining sensor data,” in 10th International Conference, Fuzzy Systems and Knowledge Discovery (FSKD), Shenyang, 2013, pp. 674-679. (Scopus, EI)
2.	S. Khatoon, A. Mahmood, and G. Li, “An evaluation of source code mining techniques,” in 8th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD), Shanghai, 2011, pp. 1929-1933.(Scopus, EI).

Our Team

Dr. Azhar Mahmood (PhD HUST, China)

PROFILE SUMMARY

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