Dr. Qaisar Shaheen

Results-driven AI & Machine Learning Specialist with 16+ years of experience, specializing in Deep Learning, NLP, Computer Vision, and IoT-driven intelligent systems, information technology, and intelligent systems. PhD in Computer Science specializing in Internet of Things (IoT), Fog/Edge AI Computing, and AI-driven distributed systems. Proven expertise in machine learning algorithms, deep learning frameworks, natural language processing (NLP), computer vision, generative AI, large language models (LLMs), transformer-based architectures, predictive analytics, data mining, and smart IoT systems. Skilled in supervised learning, unsupervised learning, semi-supervised learning, reinforcement learning, and ML Ops pipeline development. HEC-approved PhD supervisor with 24 supervised graduate students and a strong publication record in Q1/Q2 journals (Cumulative Impact Factor: 45.287). Experienced in designing AI/ML curricula, leading AI research teams, and deploying artificial intelligence solutions for real-world challenges in healthcare, education, cybersecurity, and smart cities.

AI & Machine Learning Specialist | Deep Learning | NLP | Computer Vision | Generative AI | IoT & Intelligent Systems Expert | Assistant Professor & Head of Department

• Shaheen Q., Shiraz M., Khan S., Majeed R., Guizani M., Khan N., Aseere A.M. — Towards Energy Saving in Computational Clouds: Taxonomy, Review, and Open Challenges. IEEE Access, 2018. IF: 4.098 | Q1
• Shaheen Q., Shiraz M., Hashmi M.U., Mahmood D., Zhiyu Z., Akhtar R. — A Lightweight Location-Aware Fog Framework (LAFF) for QoS in the Internet of Things Paradigm. Mobile Information Systems, 2020. IF: 1.614 | Q2
• Awan I.A., Shiraz M., Hashmi M.U., Shaheen Q., Akhtar R., Ditta A. — Secure Framework Enhancing AES Algorithm in Cloud Computing. Security and Communication Networks, 2020. IF: 1.508 | Q2
• Mukhtar M.F., Shiraz M., Shaheen Q., Ahsan K., Akhtar R., Changda W. — RBM: Region-Based Mobile Routing Protocol for Wireless Sensor Networks. Wireless Communications and Mobile Computing, 2021. IF: 2.366 | Q2
• Gochhaita S., Butt S.A., De-La-Hoz-Franco E., Shaheen Q. et al. — A Machine Learning Solution for Bed Occupancy Issues for Smart Healthcare Sector. Automatic Control and Computer Sciences, 2021. IF: 0.6 | Q2
• Mahmood H., Mahmood D., Shaheen Q., Akhtar R., Changda W. — S-DPS: An SDN-Based DDoS Protection System for Smart Grids. Security and Communication Networks, 2021. IF: 1.288 | Q2
• Ariza-Colpas P.P., Shaheen Q. et al. — SISME: Estuarine Monitoring System Based on IoT and Machine Learning for the Detection of Salt Wedge in Aquifers. Sensors, 2021. IF: 3.275 | Q1
• Khan M.K., Shiraz M., Shaheen Q., Butt S.A., Akhtar R., Khan M.A., Changda W. — Hierarchical Routing Protocols for Wireless Sensor Networks: Functional and Performance Analysis. Journal of Sensors, 2021. IF: 1.595 | Q2
• Shaheen Q., Shiraz M., Butt S.A., Gani A., Khan M.A. — An Analytical Survey of WSNs Integration with Cloud and Fog Computing. Electronics (MDPI), 2021. IF: 2.690 | Q2
• Amjad S., Younas M., Anwar M., Shaheen Q., Shiraz M., Gani A. — Data Mining Techniques to Analyze the Impact of Social Media on Academic Performance of High School Students. Wireless Communications and Mobile Computing, 2022. IF: 2.336 | Q2
• Khaliq A., Rahman Kashif S.A., Ahmad F., Anwar M., Shaheen Q. et al. — Indirect Vector Control of Linear Induction Motors Using Space Vector Pulse Width Modulation. Computers, Materials & Continua, 2022. IF: 3.860 | Q1
• Akbar W., Mannan A., Shaheen Q., Hijji M., Anwar M. — Probability-Based Regression Analysis for the Prediction of Cardiovascular Diseases.
• Computers, Materials & Continua, 2023. IF: 3.860 | Q1
• Khan Khalil M.I., Shah S.A.A., Khan I.A., Hijji M., Shiraz M., Shaheen Q. — Energy Cost Minimization Using String Matching Algorithm in Geo-Distributed Data Centers. Computers, Materials & Continua, 2023. IF: 3.860 | Q1
• Tahir A., Chen F., Hayat B., Shaheen Q. et al. — Hybrid HP-BOA: An Optimized Framework for Reliable Storage of Cloud Data Using Hybrid Meta-Heuristic Algorithm. Applied Sciences (MDPI), 2023. IF: 2.838 | Q2
• Afreen H., Kashif M., Shaheen Q. et al. — IoT-Based Smart Surveillance System for High-Security Areas. Applied Sciences (MDPI), 2023. IF: 2.838 | Q2
• Aom Perkash, Shaheen Q., Saleem R., Rustam F. et al. — Feature Optimization and Machine Learning for Predicting Students' Academic Performance in Higher Education Institutions. Education and Information Technologies, 2024. IF: 5.5 | Q1
• Rehmani F., Shaheen Q., Anwar M., Faheem M., Bhatti S.S. — Depression Detection with Machine Learning of Structural and Non-Structural Dual Languages. Healthcare Technology Letters, 2024. IF: 2.1 | Q2

Academic Editor:

• PLOS ONE (Impact Factor: 3.580) | 2022 – Present

Guest Editor:

• Special Issue: "Scalable Distributed Systems Based on Intelligent IoTs"— Applied Sciences, MDPI (IF: 2.838) | 2023
• Special Issue: "Towards Making Everything Smart by Using Edge Computing-Based Internet of Things" — CMC: Computers, Materials & Continua (IF:3.860) | 2022

Peer Reviewer for International Journals:

• The Journal of Supercomputing (Springer)
• CMC – Computers, Materials & Continua
• PLOS ONE
• Applied Sciences (MDPI)
• Electronics (MDPI)
• Sensors (MDPI)
• Sustainability (MDPI)
• KSII Transactions on Internet and Information Systems
• Wireless Communication & Mobile Computing

• School of Electronics and Information, Jiangsu University of Science and Technology, Zhenjiang, China
• School of Computer Science and Communication Engineering, Jiangsu University, Zhenjiang, China
• Faculty of Computing and Informatics, University Malaysia Sabah, Kota Kinabalu, Malaysia

HEC-Approved PhD Supervisor | 24 Graduate Students Supervised in AI, ML & Intelligent Systems

Currently Ongoing:

• Nadia Shamshad — Quantum-Inspired Task Scheduling for Edge Computing in Smart Cities
• Mariam Fatima — Hybrid Firefly Sliding Window Protocol for Improving Data Aggregation in Wireless Sensor Networks
• Hina Nazir — Adaptive Hybrid Edge-Cloud Framework for Overcoming Storage Constraints in IoT-Driven Applications

Completed 2025:

• Dawood Azam — Enhancing Environmental Safety for High-Risk Children: Technology-Recommended Approach
• Maryam Hassan — Energy Optimization in HetNet Using Advanced Antenna Systems: A Step Towards Green Communication
• M. Hamza Ashraf — Modified Gossip-Based Protocols for Effective Task Reassignment and Node Failure Management in Fog Computing
• Aleena Waheed — Smart Wheelchair: Advanced Brain Navigation for Paralysis Patients (AI-Powered)
• Muhammad Muddasir — Analyzing the Role of Social Media in Modern Pedagogy by Data Mining Techniques
• Sumaira Hameed — Dynamic Latency-Aware User Migration Algorithm (DLUMA) Enhanced with Machine Learning for Load Balancing in Fog Computing
• Zarmina Gull — Machine Learning-Based Network Traffic Prediction for Dynamic Admission Control in Fog Computing
• Ifra Sattar — Enhanced Cloud VM Migration Efficiency Using Machine Learning via DICM
• Sana Liqat — Enhanced Task Distribution in Fog Computing: Leveraging Pre-Trained Models and Feature Extraction for Dynamic Load Balancing

Completed 2023:

• Ahmad Abbas — Deep Learning Framework for Emotion Detection Through Heart Rate Using UWB Radar
• Zuhaib Arshad — DDoS Attacks Detection and Prevention in IoT Devices Using Machine Learning
• Iqrah Mushtaq — Novel Method to Predict the Quality of Wheat Seeds (Machine Learning-Based)
• Muhammad Anas Nawaz — Machine Learning Framework to Predict Student Dropout from Secondary Schools
• Filza Rehmani — Depression Detection with Machine Learning of Structural and Non-Structural Dual Languages
• Hafiza Bazala Amber — Machine Learning Model to Identify Fake News on Social Media
• Zeeshan Ali — Self-Assessment AI Interview Bot for Computer Science Domain
• Ateeqa Arshad — Prediction Model for Identifying Future Extremism Activities (ML-Based)
• Ali Nawaz Mazari — Two-Factor Authentication Using Protection Motivation Theory for Improved AI Security
• Muhammad Adnan Shafique — Novel NLP/AI Framework for Detection of Cyberbullying Against Transgender on Twitter
• Aom Parkash — Prediction of Student Academic Performance Using Artificial Intelligence Techniques

Completed 2022:

• Madiha Maqsood — QoS Provisioning Framework in IoT via AI-Enhanced Resource Allocation for Fog Computing

0000-0002-1839-1412

• Published 17 peer-reviewed research papers in international Q1/Q2 journals with Cumulative Impact Factor of 45.287
• Achieved 4 publications in Q1-ranked journals including IEEE Access (IF: 4.098) and Education & Information Technologies (IF: 5.5)
• Successfully supervised 24 graduate-level AI/ML research students as HEC-approved PhD supervisor
• Recognized as Academic Editor for PLOS ONE (IF: 3.580) — one of the world's leading multidisciplinary journals
• Served as Guest Editor for 2 international special issues focused on Intelligent IoT and Edge Computing
• Active peer reviewer for 9 international journals spanning AI, IoT, cybersecurity, and intelligent systems
• Invited as Trainer for DHIS-2 TB Health Information System — Ministry of NHSR&C, Government of Pakistan

• Quantum Computing Familiarization Workshop, 02/09/26 – 02/13/26, 5 Days, Foundation for QC Innovation (FQCI), Indian Institute of Science, Bengaluru, India
• HEC (Higher Education Commission) Pakistan, Approved Supervisor for Graduate Studies (PhD & MS Level)
• University of the Punjab, Lahore, Recognized PhD Supervisor
• MCSE, Microsoft Certified Systems Engineer | EVS Rawalpindi
• Certified Web Developer, PHP, HTML, CSS, SQL, XML, XSL, JavaScript
• Workshop: Network Programming Skills with Postgraduates, 5 Days, IUB Rahim Yar Khan Campus
• Workshop: Cyber Security with Postgraduates, 6 Days, IUB Rahim Yar Khan Campus
• Training of Trainers (ToT): DHIS-2 TB Instance, 4 Days, Ministry of NHSR&C in Collaboration with University of Oslo
• Consultation Workshop: Management Information Systems for AIDS-TB and Malaria Program, HPSIU, Ministry of NHSR&C