Mr. Ch. Anwar Ul Hassan (MS CUI, Islamabad)


Ch Anwar ul Hassan completed his MS degree in Software Engineering from COMSATS University Islamabad, in 2019, and joined academia where he worked as a lecturer. Ch Anwar ul Hassan’s research interests are in Data analysis, Machine learning, Data mining, Data warehousing, Smart Grid Energy Management, Software Process Improvements, Software Costing & Estimation. He has authored 8 research papers. He has 3+ years of industrial experience in web development, Mobile apps and games marketing, App store optimization and App store account management.

MS Software Engineering COMSATS University Islamabad, Pakistan 2019
BS Software Engineering National University of Modern Languages, Islamabad, Pakistan 2015
Lecturer Capital University of Science and Technology (CUST), Islamabad Since – 2020
Lecturer Federal Urdu University of Arts, Science & Technology (FUUAST)Islamabad 2019 – 2020
Graduate Research Assistant COMSATS University Islamabad 2017 – 2019
Software Project Manager InstaBerry Technologies, Rawalpindi 2016 – 2018
Software Developer eVision Software 2015 – 2016
1. Secure 1st Position in “Research Poster Competition” COMSATS University Islamabad
2. Stand 1st in NUML debate competition & Runner-up in COMSATS Debate competition
3. Secure 2nd position in Interzonal football
4. Awarded Merit Scholarship in BS Software Engineering
5. Awarded Shahbaz Sharif merit scholarship for study in MS Software Engineering
6. Blockchain Essentials powered by IBM Developers
7. IBM Blockchain Foundation Developer by IBM Developers
8. Cloud Computing Basics by LearnQuest
9. Project Management Essentials Certified (PMEC) Certified by Management & Strategy Institute
10. Introduction to IT & Cybersecurity by Cybrary
11. Minecraft Hour of Code: Facilitator Training 2020 by Microsoft
12. Introduction to Cybersecurity Tools & Cyber Attacks by IBM Developer
13. Cybersecurity Compliance Framework & System Administration by IBM Developer
14. Cyber Security Foundation by CerifProf
15. Machine Learning with Python by IBM Developer
16. Distributed Computing with Spark SQL by University of California, Davis
17. Foundations of business and entrepreneurship by Skill Front
18. Introduction to Cloud for Leaders by Microsoft
19. Lean Six Sigma White Belt Certified by Management & Strategy Institute
20. Python with MYSQL Databases by Machine
21. Python for Data Science, AI & Development by IBM Developer
22. Data Science Methodology by IBM Developer
23. Introduction to Data Science by IBM Developer
  1. Data analysis, Machine learning, Data Mining, Data warehousing;
  2. Smart Grid, Energy Management;
  3. Software Process Improvement, Software Costing and Estimation.
1. Ch. Anwar ul Hassan, Jawaid Iqbal, Saddam Hussain, Hussain AlSalman, Mogeeb A. A. Mosleh, Syed Sajid Ullah, “A Computational Intelligence Approach for Predicting Medical Insurance Cost”, Mathematical Problems in Engineering, vol. 2021, Article ID 1162553, 13 pages, 2021.
2. Ch. Anwar ul Hassan, Muhammad Hammad, Jawaid Iqbal, Saddam Hussain, Syed Sajid Ullah, Hussain AlSalman, Mogeeb A. A. Mosleh, Muhammad Arif, “A Liquid Democracy Enabled Blockchain-Based Electronic Voting System”, Scientific Programming, vol. 2022, Article ID 1383007, 10 pages, 2022.
1. Hassan, Ch Anwar Ul, Muhammad Sufyan Khan, and Munam Ali Shah. “Comparison of Machine Learning Algorithms in Data classification.” 2018 24th International Conference on Automation and Computing (ICAC). IEEE, 2018.
2. Hassan, Ch Anwar Ul, Rizwana Irfan, and Munam Ali Shah. “Integrated Architecture of Data Warehouse with Business Intelligence Technologies.” In 2018 24th International Conference on Automation and Computing (ICAC), pp. 1-6. IEEE, 2018.
3. Khan, M. S., ul Hassan, C. A., Shah, M. A., & Shamim, A. (2018, September). Software Cost and Effort Estimation using a New Optimization Algorithm Inspired by Strawberry Plant. In 2018 24th International Conference on Automation and Computing (ICAC) (pp. 1-6). IEEE.
4. ul Hassan, C. A., Khan, M. S., Ghafar, A., Aimal, S., Asif, S., & Javaid, N. (2017, August). Energy optimization in smart grid using grey wolf optimization algorithm and bacterial foraging algorithm. In International Conference on Intelligent Networking and Collaborative Systems (pp. 166-177). Springer, Cham.
5. Ghafar, A., Khalid, R., Ali, M., ul Hassan, C. A., Ishaq, A., Amin, B., & Javaid, N. (2017, November). GreyWolf Optimization Technique for HEMS Using Day Ahead Pricing Scheme. In International Conference on Broadband and Wireless Computing, Communication and Applications (pp. 25-36). Springer, Cham.
6. Khan, M. S., ul Hassan, C. A., Sadiq, H. A., Ali, I., Rauf, A., & Javaid, N. (2017, August). A new meta-heuristic optimization algorithm inspired from strawberry plant for demand side management in the smart grid. In International Conference on Intelligent Networking and Collaborative Systems (pp. 143-154). Springer, Cham
7. Asif, S., Shafiq, S., Fatima, I., ul Hassan, C. A., Abideen, Z. U., & Javaid, N. (2017, August). A heuristic scheduling approach for demand-side energy management. In International Conference on Network-Based Information Systems (pp. 995-1003). Springer, Cham
8. Fatima, I., Asif, S., Shafiq, S., ul Hassan, C. A., Ansar, S., & Javaid, N. (2017, August). Load Scheduling Optimization Using Heuristic Techniques and Combined Price Signal. In International Conference on Network-Based Information Systems (pp. 822-832). Springer, Cham.

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