About
Dr. Basit Qureshi specializes in Cloud computing with a focus on performance issues in Energy-aware and Green-computing, integrating Cloud and Internet-of-Things applications in the context of Smartcities. He is involved in various research activities. He has over 100 publications in peer-reviewed International journals and conferences. He received the best paper award at the 6th IEEE/IEFP Trustcom 2010 held in Hong Kong. He has served as program committee member and organizing committee members of many local and international conferences. He has been the chair and co-chair of the Symposium on Data Mining Applications, now the International Conference on Data Science and Machine Learning (CDMA); held bi-annually in Saudi Arabia since 2010. Moreover, he has reviewed research works for journals such as IEEE Transactions on Mobile Computing, IEEE Transactions on Dependable and Secure Computing, IEEE Transactions on Cloud Computing, IEEE Transactions on Vehicular Technology, IEEE Access, Elsevier Computer Communications, Future Generation Computer Systems, Ad-Hoc Networks and Springer Journal of Supercomputing. He has been involved in various funded research projects. These projects were funded by King Abdulaziz City for Science and Technology as well as Industrial funds from Saudi Telecom, Al-Elm, Machinestalk etc with over 2 million SAR in research grants. Previously, he served as the Director of Prince Megrin Data Mining Center and the Chair of the Computer Science Department at Prince Sultan University.
He has been the organizing chair for the Annual ACM Programming Jam competitions since 2014. He has been the mentor for students in the IEEE Extreme competitions since 2013 proctoring various teams. He received numerous awards for student activities and participation in various competitions at National and International stages.
Dr. Qureshi is with the College of Computer & Information Science at Prince Sultan University. He is a Full Professor in the Department of Computer Science. He received his Ph.D. degree in Computer Science from the University of Bradford in the year 2011. Prior to that, he received his Master of Science degree in Computer Science from Florida Atlantic University in 2002 and his Bachelor of Science degree in Computer Science from Ohio University, OH USA in 2000. He is a Fellow of the Higher Education Academy (UK). He is also a senior member of IEEE, IEEE Computer Society, and IEEE Communication Society.
Teaching
I enjoy exploring new ideas and experimenting with different approaches. I take pleasure in teaching students, guiding them through practice, setting achievement goals, and celebrating when they reach those milestones. My personal satisfaction comes from seeing a student grasp a concept, analyze problems, evaluate solutions, and creatively present the best one. I place a strong emphasis on practice through the homework and projects I assign, believing that practice truly makes perfect. I strive to provide timely feedback so students can learn from their mistakes.
In today's rapidly evolving world, especially in the field of Computer Science, it's crucial to teach students to become lifelong learners. As a teacher, continually improving my teaching skills is a key aspect of my own lifelong learning. To this end, I regularly seek feedback from my students during the course and adjust my teaching to meet their learning needs.
Teaching Schedule and Office Hours
* OFFICE HOURS: Students are welcome to drop-in.
Code to Innovate: Learn by Doing, Experience the Fun, and Create the Future!
PREVIOUSLY TAUGHT COURSES
Graduate Courses
SE600 Master Thesis
Undergraduate Courses
CS101 Computer Programming ICS102 Computer Programming II
CS210 Data Structures and Algorithms
ETHC303 Cyberethics
CS311 Algorithm Analysis & Design
CS320 Programming Languages
CS330 Operating Systems
IS333 Information Systems Development
IS336 / SE365 Human Computer Interaction
IS370 Project Management
CS381 Systems Programming
SE409 Cloud Computing
IS423 Decision Support Systems
CS435 Distributed Systems
CS489 Mobile Computing with Wireless Networks
CS495 Selected topics in Computer Science
SE499 Software Design and Development Project
CS498-9 Senior Project I and II
* If you need access to teaching resource for a course I've taught, please send a request by email
Research
Research Focus Area
Dr. Qureshi's research encompasses topics including artificial intelligence, Cloud/Edge/Fog computing systems, and cybersecurity. He has contributed significantly to the development of neural network models, enhancing their efficiency and scalability for practical applications. His work in cybersecurity focuses on securing intelligent systems, particularly within IoT and cloud environments. Dr. Qureshi's efforts have led to advancements in AI-driven automation, intelligent software systems, and robust cybersecurity measures, supported by multiple research grants.
Research Supervision
Current research: Post-doc: Dr. Muhammad Babar
Mohammad Almhaini, TrustHC: A Trusted Framework for Image Storage, Retrieval and Processing in Hybrid Cloud Environments, MS Thesis, 2018.
Saleh Al Wehaibi, Performance of Big Data Application in Low Power Virtualized Environment: A Hadoop Case Study, MS Thesis, 2017.
Fahd Al Mudarra, Exploring Software Engineering approaches to developing mobile-cloud applications, 2015, now at SDAIA.
I'm open to supervise projects in the area of Federated Learning, Cloud/Fog/Edge computing and Cybersecurity.
Funded projects
SFed-Healthcare: Scalable Federated Learning for Heterogeneous Healthcare Environment using Adaptive Client Selection and Optimization
Funded by: RIC, PSU Seed grant
Investigators: Muhammad Babar, Basit Qureshi, Anis Koubaa
Funding: 30,000 SR
Duration: 2023 to 2024
An Enhanced Big Data Analytics Architecture for Smart Healthcare Using Parallel and Distributed Framework
Funded by: RIC, PSU Seed grant
Investigators: Muhammad Babar, Basit Qureshi, Anis Koubaa
Funding: 30,000 SR
Duration: 2022 to 2023
On Saftey, Security and Sustainability of a cloud based drone management framework for smart cities
Funded by: RIC, PSU Seed grant
Investigators: Basit Qureshi, Anis Koubaa
Funding: 15,000 SR
Duration: Nov 2018 to Sep 2019
On Reducing Repeat Calls for improved field operations performance
Funded by: Saudi Telecom
Investigators: Mohammad ElAffendi, Basit Qureshi, Ahmed Sameh, Mamdouh ElAnazi
Funding: 319,500 SR
Duration: Mar 2016 to Oct 2016
DroneMap: A Cloud Robotics System for Unmanned Aerial Vehicles in Surveillance Applications
Funded by: King AbdulAziz City for Science and Technology (KACST)
Investigators: Anis Koubaa, Basit Qureshi
Funding: 182,000 SR
Duration: 2015 - 2016
Exploring Mobile Software Engineering Approaches to Developing Applications in Hybrid Cloud Computing Environments
Funded by: Prince Salman Research & Translation Center (PSRTC)
Investigators: Basit Qureshi, Fakhry Khellah
Funding: 77,000 SR
Duration: 2014 - 2015
On analysis of teaching strategies for computer programming to freshman year students at PSU
Investigators: Basit Qureshi
Funding: 2,000 SR
Duration: 2013-2014
mCloud: On Ubiquitous Social Behavior Mining towards improving Teaching and Learning at PSU
Investigators: Basit Qureshi
Funding: 2,000 SR
Duration: 2011-2012
mTrust: Trust Management in Peer to Peer Applications for Mobile Ad Hoc Networks
Investigators: Basit Qureshi, Geyong Min and Demetres Kouvatsos (University of Bradford)
Funding: 2,000 GBP
Duration: 2010-2011
Selected Publications
For a full list, please visit Google Scholar
Basit Qureshi, Adaptive Multi-Criteria Selection for Efficient Resource Allocation in Frugal Heterogeneous Hadoop Clusters, Electronics 13, 1836, 2024.
Basit Qureshi, Optimizing Hadoop Scheduling in Single-Board-Computer-Based Heterogeneous Clusters, Computation 2024, 12, 96, 2024.
Muhammad Babar, Basit Qureshi, Computational Approach for Automated Segmentation and Classification of Region of Interest in Lateral Breast Thermograms, Computers, Materials & Continua, 052793, August 2024.
Muhammad Babar, Basit Qureshi, A New Approach to Leveraging AI for Sustainable Healthcare in Smart Cities, Proceedings of the 2nd International Conference on Sustainability: Developments and Innovations, October 2024.
Muhammad Babar, Basit Qureshi, Anis Koubaa, Review on Federated Learning for Digital Transformation in Healthcare through Big Data Analytics, Future Generation Computer Systems, vol 160, pp 14-28, November 2024.
Basit Qureshi, ChatGPT in Computer Science Curriculum Assessment: An analysis of its successes and shortcomings , ICSLT '23: Proceedings of the 2023 9th International Conference on e-Society, e-Learning and e-Technologies, pages 7–13, Portsmouth, UK, June 2023.
Anis Koubaa, Basit Qureshi, Adel Ammar, Zahid Khan, Wadii Boulila, Lahouari Ghouti, Humans are Still Better than ChatGPT: Case of the IEEEXtreme Competition , Heliyon, e21624, 2023.
Abdelouahid Derhab, Omar Cheikhrouhou, Azza Allouch, Anis Koubaa, Basit Qureshi, Mohamed Amine Ferrag, Leandros Maglaras, and Farrukh Aslam Khan, Internet of Drones Security: Taxonomies, Open Issues, and Future Directions , Vehicular Communications, Volume 39, 100552, 2023.
Sarah Kaleem, Adnan Sohail, Muhammad Usman Tariq, Muhammad Babar, Basit Qureshi, Ensemble learning for multi-class COVID-19 detection from big data, PLoS ONE 18(10): e0292587, October 2023.
Sayar Shekhawat, Harish Sharma, Sandeep Kumar, Anand Nayyar, Basit Qureshi, bSSA: Binary Salp Swarm Algorithm with Hybrid Data Transformation for Feature Selection, IEEE Access, vol. 9, pp. 14867-14882, 2021.
R Ali, R Liu, A Nayyar, B Qureshi, Z Cao, Tightly Coupling Fusion of UWB Ranging and IMU Pedestrian Dead Reckoning for Indoor Localization, IEEE Access, vol. 9, pp.164206 - 164222, December 2021.
R Agarwal, N S Shekhawat, S Kumar, A Nayyar, and Basit Qureshi, Improved Feature Selection Method for the Identification of Soil Images using Oscillating Spider Monkey Optimization", IEEE Access, vol. 9, pp.167128 - 167139, December 2021.
Rajalakshmi Krishnamurthi, Adarsh Kumar, Dhanalekshmi Gopinathan, Anand Nayyar, Basit Qureshi, An Overview of IoT Sensor Data Processing, Fusion,and Analysis Techniques, Sensors, volume 20, issue 21, pp.6076, 2020.
Basit Qureshi, Profile-based Power-aware Workflow Scheduling Framework for Energy-Efficient Data Centers Future Generations Computer Systems, volume 94, pp.453-467, May 2019.
Anis Koubaa, Basit Qureshi, Mohamed-Foued Sriti, Azza Allouch, Yasir Javed, Maram Alajlan, Omar Cheikhrouhou, Mohamed Khalgui, Eduardo Tovar, Dronemap Planner: A Service-Oriented Cloud-Based Management System for the Internet-of-Drones", Ad Hoc Networks, volume 86, pp. 46-62, April 2019.
Basit Qureshi, Anis Koubaa, On Energy Efficiency and Performance Evaluation of SBC based Clusters: A Hadoop case study Electronics, vol 8. no.2, pp.182, 2019.
B. Qureshi, G. Min, D. Kouvatsos, Countering the Collusion Attack with a Multidimensional Decentralized Trust and Reputation Model, Springer Journal of Multimedia Tools and Applications, Vol.66, No. 2, pp. 303-323, September 2013.
B. Qureshi, G. Min, D. Kouvatsos. M-Trust: A Trust Management scheme for Mobile P2P Networks, in the sixth IEEE/IFIP International Symposium on Trusted Computing and Communications(TrustCom 2010), Hong Kong, China, December 11-13, 2010.
Resources
Some material/resources for students
IEEExtreme Problems
ACM Programming Jam Problems
GulfPC Problems
Contact
Office 2-B20 - Building 105,
College of Computer & Info Sc.
Prince Sultan University
P.O.Box No. 66833 Rafha Street, Riyadh 11586
Saudi Arabia
Phone: 00966 11 494 8284
Email: qureshi (dot) psu.edu.sa