ch.anwar

Mr. Ch. Anwar ul Hassan

Lecturer
PROFILE SUMMARY

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.

QUALIFICATION
MS Software Engineering COMSATS University Islamabad, Pakistan 2019
BS Software Engineering National University of Modern Languages, Islamabad, Pakistan 2015
TEACHING EXPERIENCE
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
INDUSTRIAL EXPERIENCE
Software Project Manager InstaBerry Technologies, Rawalpindi 2016 – 2018
Software Developer eVision Software 2015 – 2016
HONORS & AWARDS
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
RESEARCH AREAS / INTERESTS
  1. Data analysis, Machine learning, Data Mining, Data warehousing;
  2. Smart Grid, Energy Management;
  3. Software Process Improvement, Software Costing and Estimation.
CONFERENCE PUBLICATIONS
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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