Teaching Experience (Universities): 9 years
University Administrative Experience: 8 years
Industrial Experience: 7 years
Courses Taught: IoT for smart homes, Sensor and adhoc Networks, advanced Wireless Networks, Distributed Data Processing, Big Data analytics and Architectures (Parallel and Distributed) related courses for graduate (MS/ PhD) and under graduate (BS) programs.
Academic Commitments:
Prominent tasks are:
● Advisor CS/SE society –
○ Conducted and organized multiple workshops/ seminars on cutting edge industrial and research topics.
● Founder/ Initiator Google Developers Student club SZABIST- Islamabad chapter (faculty advisor)
● Member graduate and undergraduate admission committee
● Member IS/Thesis/FYP evaluation committee (BS, MS and PhD committees)
● Class counselor - BSCS7A and BSCS 7B- Spring 2020-date
● Compiling/ editing annual report on Research profile for CS department
● Secretary plagiarism committee
● SAR compilation- MSCS and PhD Computing
● Examiner and reviewer MSCS, MS Data Science and PhD Computing programs.
● Executive Director/ Board member at STYM Foundation.
MS Thesis and Independent Studies Supervised:
16. Muhammad Rafi ( In Progress) A Novel Technique for Precision Agriculture using Sensory Information and Distributed Computing (MS Data Science)
15. Moiz Ahmed ( In progress) A Novel Blockchain Based Framework for Energy Transactions (MS Data Science)
14. Irtaza Hassan (In Progress) Optimal resource allocation in challenged IoV environment using learning mechanisms (MS Data Science)
13. Abdl Aziz (In progress) Peak power demand forecasting for Pakistan focusing economic and climatic changes. (MS Data Science)
12. Taj Wali (Spring 2022) Distributed data processing and learning approaches for credit card fraud detection (MS Data Science) thesis work is submitted in wireless communications and mobile computing.
11. Noor-ul-Ain (spring 2021) Criminal behaviour identification analysis and prediction using social media forensics. ( MS Data Science) Thesis work is Published in “electronics (Switzerland) Special Issue Digital Trustworthiness: Cybersecurity, Privacy and Resilience” journal
10. Awais Khan Mughal, (Fall 2020) Fraud Detection in Credit Card Online Transactions Using Machine Learning (MS Data Science) Thesis work is submitted in IEEE Access for publication
9. Asjad Ali, (Fall 2020) Machine learning-based smart sitting posture monitoring system (MS Data Science) Ready to be submitted.
8. Tayyaba Ilyas (Spring 2021) COVID-19: An IoT Enabled Suspect Detection and Patient Monitoring Framework Using Data Fusion Techniques (MS Computer Science) Thesis work is published in energies journal.
7. Mehr Un Nisa (Fall 2019), Analysis of E-Commerce Big Data Using Spark. (MS Data Science) published in conference proceedings and electronics journal.
6. Tariq Mahmood (Spring 2019), optimal resource sharing of networked micro grids focusing uncertainty. (MS Computer Science) - The work is published as chapter 4 in Security and organization within IoT and Smart Cities
5. Shah Hasan Mahmood (Fall 2019), S-DPS: An SDN/Entropy-based Light-weight Approach Focusing DDoS Attacks in Smart Grids. (MS Computer Science)- Thesis work is published in Security and Communication Networks Journal.
4. Mehar un Nisa, (Fall 2020) Optimizing YouTube Videos Popularity Prediction using Machine Learning (MS Data Science) Thesis work is published in electronics (Wsitzerland) Special Issue Advanced Application of Machine Learning and Meta-Learning in Image and Text Analysis
3. Nameer ul Haq, (Fall 2020) Demand Forecasting in Supply Chain Management using Deep Learning (MS Data Science)
2. Abdul Wahab (Fall2020) Detection of fake news and rumour’s on social media platform (using Kafka and spark) (MS Data Science)
1. Shoaib Memon,(Fall 2020) Predicting cognitive ability of elderly people using machine learning (MS Data Science)