Dr. Maqbool Khan

Solution Architect   |   Data Scientist   |   Researcher

Associate Professor

Dr. Maqbool Khan is an experienced in leveraging big data technologies and data science using cloud computing to provide a robust synopsis for high level overviews. Iterative approaches to corporate strategy foster collaborative thinking to further the overall value proposition.

Education

Degree	Subject	Year	Division	Board/University
Post Doc.	AI & Data Science	2023	1st	Software Competence Center Hagenberg (SCCH), Austria
Ph.D.	Computer. Science (Big Data)	2018	1st	Nanjing University, China 南京大学
M.S	Computer. Science (Information Security)	2013	1st	HuaZhong University Of Science and Technology, Wuhan, Hubei, China 华中科技大学武汉
B. Ed	Education	2005	1st	A.I.O.U Islamabad, Pakistan
M.Sc.	Computer Science	2004	1st	Gomal University D-I-Khan, KPK, Pakistan
BSc	Computer Science	2002	1st	Gomal University D-I-Khan, KPK, Pakistan
F. Sc	Pre-Engineering	2000	1st	B.I.S.E Bannu, KPK, Pakistan
S.S.C	Science Group	1998	1st	B.I.S.E Bannu, KPK, Pakistan

Skills

• Mobile-First, Responsive Design
• Cross Browser Testing & Debugging
• Cross Functional Teams
• Agile Development & Scrum

• Microsoft Windows Server
• MS (DNS, DHCP, IIS, ISA Server, Exchange Server )
• Domain base network and workgroup network
• Active Directory, Security Policies
• FTP, TFTP, NAT, IP Tables
• Cisco (Routers, Switches, VLAN)
• Protocols: RIP1, RIP2, IGRP, OSPF, EIGRP
• Cloud Computing (IaaS, PaaS, SaaS)
• Network Modelling and monitoring
• SDN & NFV with Nokia Telco Cloud
• Linux (RHEL, Ubuntu, Mint)
• Sensors installation and configurations
• Installation and Configuration of Riverbed

• Microsoft Visual Studio.Net, C#, Visual Basic.Net, Crystal Reports
• Java, Python, C++
• Microsoft SQL Server / MySQL / Oracle 9i
• Hadoop & MapReduce
• HBase, HIVE, Pig, Spark & Splunk
• neo4j, NetworkX. MongoDB, HDFS
• Virtualization (VMWare, Oracle VM Virtual Box)
• MyEclipse, IntelliJ IDEA
• Spring Framework, MVC
• Django Framework, MVT
• Web Services and APIs
• Node.js, Vue.js, D3.js
• Annaconda Navigator (Spyder, iPython, Jupyter)

• Predictive analytical modelling
• Machine/Deep Learning Algorithms implementation
• Python, Scala, R
• Parallel Processing with Apache Spark (PySpark, Scala)
• NumPy, SciPy, Matplotlib, Scikit-learn, Pandas
• SPSS, Weka, KNIME

• Google Cloud Platform
• Virtual machines and VPN
• Cloud Launcher and IAM
• Google App Engine and Compute Engine
• API and Services
• Containers and Kubernetes
• Deployment manager
• Microservices

Publications

Books – Conference/Workshop Proceedings (Edited):

1. G. Kotsis, A Min Tjoa, Ismail Khalil, Bernhard Moser, Alfred Taudes, Atif Mashkoor, Johannes Sametinger, Jorge Martinez-Gil, Florian Sobieczky, Lukas Fischer, Rudolf Ramler, Maqbool Khan, Gerald Czech., Database and Expert Systems Applications-DEXA 2022 Workshops: 33rd International Conference, DEXA 2022, Vienna, Austria, August 22–24, 2022, Proceedings. Springer Nature, 2022. https://doi.org/10.1007/978-3-031-14343-4
2. Gabriele Kotsis, A Min Tjoa, Ismail Khalil, Bernhard Moser, Atif Mashkoor, Johannes Sametinger, Maqbool Khan. Database and Expert Systems Applications - DEXA 2023 Workshops: 34th International Conference, DEXA 2023, Penang, Malaysia, August 28–30, 2023, Proceedings. Springer Nature, 2023, https://doi.org/10.1007/978-3-031-39689-2

Conferences:

1. Maqbool Khan, Liu Meng, Wanchun Dou, Shui Yu “vGraph: Graph Virtualization towards Big Data” in IEEE CBD 2015, Yangzhou, China. pp. 153-158. https://doi.org/10.1109/CBD.2015.33
2. Maqbool Khan, Xiolong Xu, Wanchun Dou, Shui Yu “OSaaS: Online Shopping as a Service to Escalate E-Commerce in Developing Countries” in IEEE HPCC/SmartCity/DSS 2016, Sydney, Australia. pp. 1402-1409. https://doi.org/10.1109/HPCC-SmartCity-DSS.2016.0200
3. Maqbool Khan, Xiaotong Wu, Xiolong Xu, Wanchun Dou, “Big Data Challenges and opportunities in Industry 4.0” in IEEE ICC 2017, Paris, France pp. 1-6. https://doi.org/10.1109/ICC.2017.7996801
4. Wajid Rafiq, Maqbool Khan, M. Sohail, Asma Irshad, “A Graph Theory based Method to Extract Social Structure in the Society” in INTAP (2018) Pakistan. https://doi.org/10.1007/978-981-13-6052-7_38
5. Wajid Rafique, Maqbool Khan, Nadeem Sarwar, Wanchun Dou “A Security Framework to Protect Edge Supported Software Defined Internet of Things Infrastructure” CollaborateCom, 2019 (CCF) https://doi.org/10.1007/978-3-030-30146-0_6
6. Wajid Rafique, Maqbool Khan, Nadeem Sarwar, Wanchun Dou, “Maintainable Software Using Collaboration Between Architecture and Requirements in Heterogeneous IoT Paradigm” CollaborateCom, 2019 (CCF) https://doi.org/10.1007/978-3-030-30146-0_34
7. W. Rafique, Maqbool Khan, X. Zhao, N. Sarwar, and W. Dou, “A Blockchain-Based Framework for Information Security in Intelligent Transportation Systems,” presented at the International Conference on Intelligent Technologies and Applications, 2019, pp. 53–66. https://doi.org/10.1007/978-981-15-5232-8_6
8. P. Haindl, G. Buchgeher, Maqbool. Khan and B. Moser, "Towards a Reference Software Architecture for Human-AI Teaming in Smart Manufacturing," 2022 IEEE/ACM 44th International Conference on Software Engineering: New Ideas and Emerging Results (ICSE-NIER), 2022, pp. 96-100, https://doi.org/10.1109/ICSE-NIER55298.2022.9793509
9. M. Qasim, Maqbool. Khan, W. Mehmood, F. Sobieczky, M. Pichler, and B. Moser, “A Comparative Analysis of Anomaly Detection Methods for Predictive Maintenance in SME,” presented at the Database and Expert Systems Applications - DEXA 2022 Workshops, 2022, vol. 1633, pp. 22–31. https://doi.org/10.1007/978-3-031-14343-4_3
10. Thomas Hoch, Bernhard Heinzl, Gerald Czech, Maqbool Khan, Philipp Waibel, Stefan Bachhofner, Elmar Kiesling, Bernhard Moser ., “Teaming. AI: enabling human-AI teaming intelligence in manufacturing,” presented at theProceedings of Interoperability for Enterprise Systems and Applications Workshops: AI Beyond Efficiency: Interoperability towards Industry, 2022, vol. 3214, pp. 1–5. https://ceur-ws.org/Vol-3214/WS5Paper6.pdf
11. W. Rafique, B. Shah, S. Hakak, M. Khan, and S. Anwar, “Blockchain Based Secure Interoperable Framework for the Internet of Medical Things,” in Proceedings of International Conference on Information Technology and Applications, S. Anwar, A. Ullah, Á. Rocha, and M. J. Sousa, Eds., Singapore: Springer Nature Singapore, 2023, pp. 533–545. https://doi.org/10.1007/978-981-19-9331-2_46
12. Khan, A., Zhang, H., Boudjellal, N., Ahmad, A., M. Khan (2023). LocBERT: Improving Social Media User Location Prediction Using Fine-Tuned BERT. In: Kotsis, G., et al. Database and Expert Systems Applications - DEXA 2023 Workshops. DEXA 2023. Communications in Computer and Information Science, vol 1872. Springer, Cham. https://doi.org/10.1007/978-3-031-39689-2_3
13. Khan, M.A., Ahmad, F., Khan, K., M. Khan (2024). Pashto Language Handwritten Numeral Classification Using Convolutional Neural Networks. In: Rasheed, J., Abu-Mahfouz, A.M., Fahim, M. (eds) Forthcoming Networks and Sustainability in the AIoT Era. FoNeS-AIoT 2024. Lecture Notes in Networks and Systems, vol 1036. Springer, Cham. https://doi.org/10.1007/978-3-031-62881-8_24
14. S. Florian, I. Bukovsky, O. Budik, M. Khan (2023). Predictive Maintenance Cost Model, European Networks for Business and Industrial Statistics (ENBIS-2023), https://conferences.enbis.org/event/32/contributions/423/

Journals:

1. Xiaotong Wu, Taotao Wu, Maqbool Khan, Qiang Ni, Wanchun Dou, IEEE Transactions on Big Data, “Game Theory Based Correlated Privacy Preserving Analysis in Big Data” (IF: 7.2) https://doi.org/10.1109/TBDATA.2017.2701817
2. Xiolong Xu, Xuyuan Zhang, Maqbool Khan, Wanchun Dou, Shui Yu Future Generation Computer Systems (Elsevier), “A Balanced Virtual Machine Scheduling Method for Energy-Performance Trade-offs in Cyber-Physical Cloud Systems”. (IF: 6.2) https://doi.org/10.1016/j.future.2017.08.057
3. Maqbool Khan, A. Ahmed, Florian, B. Moser, M. Pichler, “A Systematic Mapping Study of Predictive Maintenance in SME” IEEE Access, vol. 10, no 1109, pp. 88738-88749, 2022. (IF: 3.4) https://doi.org/10.1109/ACCESS.2022.3200694
4. Wajid Rafique, Maqbool Khan, Nadeem Sarwar, Wanchun Dou “SocioRank*: Communities and Social Roles Detection Method in Social Networks” in Computers and Electrical Engineering. (IF: 2.4) https://doi.org/10.1016/j.compeleceng.2019.03.010
5. W. Rafique, M. Khan, S. Khan, and J. S. Ally, “SecureMed: A BlockchainBased Privacy-Preserving Framework for Internet of Medical Things,” Wireless Communications and Mobile Computing, vol. 2023, p. 2558469, Apr. 2023, (IF: 2.46) https://doi.org/10.1155/2023/2558469
6. Khattak, Saadullah, Maqbool Khan, Tahir Usman, Johar Ali, Dong-Xing Wu, Muhammad Jahangir, Kashif Haleem et al. "Assessment of General Populations Knowledge, Attitude, and Perceptions Toward the Coronavirus Disease (COVID-19): A Cross-Sectional Study From Pakistan." Frontiers in medicine 8 (2021). (IF: 5.09) https://doi.org/10.3389/fmed.2021.747819
7. S. Syed, K. Khan, M. Khan, RU Khan, A. Aloraini “Recognition of inscribed cursive Pashtu numeral through optimized deep learning” PeerJ Computer Science 10:e2124 (IF: 2.7) https://doi.org/10.7717/peerj-cs.2124
8. A. Ali, M. Khan, K. Khan, R.U. Khan, and A. Aloraini "Sentiment Analysis of Low-Resource Language Literature Using Data Processing and Deep Learning," Computers, Materials & Continua (CMC)., vol. 79, no. 1, pp. 713-733. 2024. (IF: 2.0) https://doi.org/10.32604/cmc.2024.048712
9. Salabat Khan, L Zhu, Z. Zhang, MA Rahim, Maqbool Khan, X Du, M Guizani, “Accountable Credential Management System for Vehicular Communication” Vehicular Communications. (IF: 5.8) https://doi.org/10.1016/j.vehcom.2020.100279
10. Ashraf, Muhammad Azeem, Muhammad Naeem Khan, Sohail Raza Chohan, Maqbool Khan, et.al "Social Media Improves Students’ Academic Performance: Exploring the Role of Social Media Adoption in the Open Learning Environment among International Medical Students in China." In Healthcare, vol. 9, no. 10, p. 1272. MDPI, 2021. (IF: 2.4) https://doi.org/10.3390/healthcare9101272
11. Khattak, Saadullah, Muhammad Faheem, Bilawal Nawaz, Maqbool Khan, Nazeer Hussain Khan, Nadeem Ullah, Taj Ali Khan et al. "Knowledge, Attitude, and Perception of Cancer Patients towards COVID-19 in Pakistan: A Cross-Sectional Study." International Journal of Environmental Research and Public Health 19, no. 13 (2022): 7926. (IF: 4.61) https://doi.org/10.3390/ijerph19137926
12. Pir Muhammad, Sumaira Hanif, Jiliang Yan, Fawad Ur Rehman, Jiefei Wang, Maqbool Khan, Roger Chung, Albert Lee, Meng Zheng et al., “SERS-based nanostrategy for rapid anemia diagnosis,” Nanoscale, vol. 12, no. 3, pp. 1948–1957, 2020. (IF: 7.8) https://doi.org/10.1039/C9NR09152A
13. S. Khattak, Muhammad Idress, H. Iqra Iqbal, Maqbool Khan, Nasir Assad, MN Khan, MT Yousf, Muhammad et al., “Assessment of Attitudes and Intentions towards COVID-19 Vaccines and Associated Factors among General Populations of Pakistan: A Cross-Sectional Study,” vaccines, vol. 10, no. 1583, pp. 1–15, 2022. (IF: 5.2) https://doi.org/10.3390/vaccines10101583
14. Jiang, J. Guo, Maqbool Khan. Y. Cui, and W. Lin, “Energy-saving Service Offloading for the Internet of Medical Things Using Deep Reinforcement Learning,” ACM Transactions on Sensor Networks, vol. 10, no. 1145, 2022. (IF: 3.69) https://doi.org/10.1145/3560265
15. Syed Furqan Qadri, Hongxiang Lin, Linlin Shen, Mubashir Ahmad, Salman Qadri, Salabat Khan, Maqbool Khan, Syeda Shamaila Zareen, et al, "CTBased Automatic Spine Segmentation Using Patch-Based Deep Learning", International Journal of Intelligent Systems, vol. 2023, Article ID 2345835, 14 pages, 2023. (IF: 8.99) https://doi.org/10.1155/2023/2345835
16. R. Ullah, M.Khan. et al., "1.12Tbps-16QAM Uncompensated Long-Haul Transmission Employing a New Self-Oscillating Optical Frequency Comb Generator Both at Transmitter and Receiver," in IEEE Photonics Journal, vol. 16, no. 2, pp. 1-7, April 2024, Art no. 7200507, (IF: 2.24) https://doi.org/10.1109/JPHOT.2024.3376424
17. W. Wang, X. Xu, M. Bilal, M. Khan and Y. Xing, "UAV-Assisted Content Caching for Human-Centric Consumer Applications in IoV," in IEEE Transactions on Consumer Electronics, vol. 70, no. 1, pp. 927-938, Feb. 2024, (IF: 4.3) https://doi.org/10.1109/TCE.2023.3349079
18. Khan, A., Boudjellal, N., Zhang, H., Ahmad, A., M. Khan. (2023). From social media to ballot box: leveraging location-aware sentiment analysis for election predictions. Computers, Materials & Continua, 77(3), 3037-3055. (IF: 2.0) https://doi.org/10.32604/cmc.2023.044403
19. S. Syed, A. Iqbal, W. Mehmood, Z. Syed, M. Khan and G. Pau, "Split-Second Cryptocurrency Forecast Using Prognostic Deep Learning Algorithms: Data Curation by Deephaven," in IEEE Access, vol. 11, pp. 128644-128654, 2023, (IF: 3.4) https://doi.org/10.1109/ACCESS.2023.3331652
20. A. Khan, H. Zhang, N. Boudjellal, A. Ahmad, and M. Khan "Improving Sentiment Analysis in Election-Based Conversations on Twitter with ElecBERT Language Model," Computers, Materials & Continua (CMC), vol. 76, no. 3, pp. 3345-3361. 2023. (IF: 2.0) https://doi.org/10.32604/cmc.2023.041520
21. F. Ullah, Y. Long, I. Ullah, RU Khan, S. Khan, K. Khan, M. Khan, G Pau, "Deep Hyperspectral Shots: Deep Snap Smooth Wavelet Convolutional Neural Network Shots Ensemble for Hyperspectral Image Classification," in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 17, pp. 14-34, 2024, (IF: 5.99) https://doi.org/10.1109/JSTARS.2023.3314900
22. M. Khan, S. Naz, Y. Khan, M. Zafar, M. Khan and G. Pau, "Utilizing Machine Learning Models to Predict Student Performance From LMS Activity Logs," in IEEE Access, vol. 11, pp. 86953-86962, 2023, (IF: 3.4) https://doi.org/10.1109/ACCESS.2023.3305276
23. S. Syed, M. Khan, R. Ahmed, SM. Talha, “An Intracranial Tumor Detection using Magnetic Resonance Imaging and Deep Learning” in IJEM: Computer Science & Artificial Intelligence, Publishing House International, 2023, https://doi.org/10.54938/ijemdcsai.2023.02.1.239
24. AU Khan, SU Jan, MN Khan, M. Khan et. al, “Based on the S-O-R Theory Adoption Intention of Blockchain Technology in Libraries: A Two-Stage Analysis SEM-PLS and ANN” in Library Hi Tech, Emerald Publishing 2024. (IF: 1.6)https://doi.org/10.1108/LHT-03-2024-0128
25. M. A. Khan, M. Khan, H. Dawood, H. Dawood and A. Daud, "Secure Explainable-AI Approach for Brake Faults Prediction in Heavy Transport," in IEEE Access, 2024, https://doi.org/10.1109/ACCESS.2024.3444907
26. Kiobya, T., Zhou, J., Maiseli, B. Khan, M. Attentive context and semantic enhancement mechanism for printed circuit board defect detection with two-stage and multi-stage object detectors. Sci Rep 14, 18124 (2024). (IF: 3.8) https://doi.org/10.1038/s41598-024-69207-8
27. BA Moser, F Krause, H Paulheim, E Kiesling, M.Khan, et. al, “Managing Human-AI Collaborations within Industry 5.0 Scenarios via Knowledge Graphs: Key Challenges and Lessons Learned” in Frontier in AI, 2024, (IF: 3.1) https://doi.org/10.3389/frai.2024.1247712
28. S Ehtesham, S Tahir, A Nawaz, M Humayun, M Shaheen, M.Khan, “Advanced hybrid malware identification framework for the Internet of Medical Things, driven by deep learning” in Security and Privacy (Wiley), 2024, (IF: 1.5) https://doi.org/10.1002/spy2.454
29. X. Wu, Y. Liu, X. Chi, R. Jiang, X. Zhou, W. Rafique, M Khan, “Secure Collaborative Learning for Self-Adaptive Systems on Connected Autonomous Vehicles” in ACM Transactions on Autonomous and Adaptive Systems, 2024, (IF: 2.6) https://doi.org/10.1145/369076
30. Huimin Han, Tang Hao, Mughair Bhatti, Maqbool Khan, “System-on-a-Chip (SoC) Solutions for IoT-Based Industrial Networks: Current Applications and Future Pathways” in International Journal of High Speed Electronics and Systems, 2024, (IF: 0.6) https://doi.org/10.1142/S0129156424401086
31. Danish Ali, AU Rehman, Bibi Saqia, Maqbool Khan, “Age and Gender Prediction Using Haar cascade algorithm and Fine-tuned CNN Framework” in Int. J. of Artificial Intelligence and Soft Computing, 2024, (IF: 3.7) https://doi.org/10.1145/369076
32. Faizan Ahmad, Sidra Tahir, Yaser Hafeez, Momina Shaheen, Maqbool Khan, Mamoona Humayun, Maqbool Khan, “Harnessing Hybrid Deep Learning approach for Personalized Retrieval in E-Learning” in PLOS ONE, 2024, (IF: 2.6) https://doi.org/10.1371/journal.pone.0308607
33. TS Durrani, MM Akhtar, KU Kakar, MN Khan, M Faiz, M Khan, “Geochemical evolution, geostatistical mapping and machine learning predictive modeling of groundwater fluoride: a case study of western Balochistan, Quetta” in Environmental Geochemistry and Health, 2024, (IF: 3.2) https://doi.org/10.1007/s10653-024-02335-2
34. Twahir Kiobya, Junfeng Zhou, Baraka Maiseli, Maqbool Khan, “Hybrid Intersection over Union Loss for a Robust Small Object Detection in Low- light Conditions” in IEEE Access, 2025, (IF: 3.4) https://doi.org/10.1145/369076
35. Rahat Ullah, Sibghat Ullah, Aitizaz Ali, Ren Jianxin, Hathal Salamah Alwageed, Mao Yaya, Zhipeng Qi, Yongyi Yu, Waqas A. Imtiaz, Maqbool Khan, “Secure Collaborative Learning for Self-Adaptive Systems on Connected Autonomous Vehicles” in IEEE Journal of Lightwave Technology, 2025, (IF: 4.1) https://ieeexplore.ieee.org/document/108
36. Jianye Xie, Xudong Wang, Yuwen Liu, Wenwen Gong, Chao Yan, Wajid Rafique, Maqbool Khan, Arif Ali Khan, “Social Media-Driven User Community Finding with Privacy Protection” in IEEE Tsinghua Science and Technology, 2025, (IF: 5.2) 10.26599/TST.2024.9010065
37. Weiyi Zhong, Wei Fang, Yifan Zhao, Sifeng Wang, Chao Yan, Rong Jiang, Maqbool Khan, Xuan Yang, Wajid Rafique, “Ensuring Privacy and Correlation Awareness in Multi-Dimensional Service Quality Prediction and Recommendation for Iot” in Information Sciences, 2025, (IF: 8.1) https://doi.org/10.1016/j.ins.2025.122017
38. Tanveer Ahmed, Maqbool Khan, Khalil Khan, Ikram Syed, Syed Sajid Ullah, “A comprehensive voice dataset for Hindko digit recognition” in “Data in Brief”, 2025, (IF: 3.1) https://doi.org/10.1016/j.dib.2024.111220
39. Rahat Ullah, Nadeem Sarwar, Mohammed Naif Alatawi, Abeer Alsadhan, Hathal Salamah Alwageed, Maqbool Khan, Aitizaz Ali, “Advancing Personalized Diagnosis and Therapeutics Using Deep Learning Architecture” in Frontiers in Medicine, 2025, (IF: 3.9) https://doi.org/10.3389/fmed.2025.1545528
40. Al-Anood Al-Maari, Mohamed Abdulnabi, Yogeswaran Nathan, Aitizaz Ali, Uzair Ali, Maqbool Khan, “Optimized Credit Card Fraud Detection Leveraging Ensemble Machine Learning Methods” in Engineering, Technology & Applied Science Research, 2025, (IF: 1.4) https://doi.org/10.48084/etasr.10287

Certifications

Google Cloud Certified Associate Engineer
    Series ID: 3857, Certification ID: TbPfaQ
    Expiration Date: 30 July 2021





Google Certified Professional Cloud Architect
    Series ID: 30632, Certification ID: Czk6l9
    Expiration Date: 03 July 2022




Chinese Language: HSK Level 4 - Certified
    汉语水平考试 四级

Specializations

• BIG DATA (University of California, San Diego, USA)
• Introduction to Big Data
• Hadoop Platform and Application Framework
• Introduction to Big Data Analytics
• Machine Learning With Big Data
• Graph Analytics for Big Data
• Big Data Capstone Project
PYTHON (University of Michigan, USA)
• Programming For Everybody (Geting Started With Python)
• Python Data Strucutre
• Using Python to Access Web Data
• Using Databases with Python
• Capstone: Retrieving, Processing, and Visualizing Data with Python
• EXECUTIVE DATA SCIENCE (John Hopkin University, USA)
• A crash course in data science
• Building a data science team
• Managing Data Analysis
• Data Science in Real Life
• Capstone Project
• Software Product Management (University of Alberta, Canada)
• Introduction to Software Project Management
• Software Processes and Agile Practices
• Client Needs and Software Requirements
• Agile Planning for Software Products
• Reviews and Metrics for Software Improvements
• Software Project Management Capstone
DEEP LEARNING (deeplearning.ai ,By Prof Andrew Ng.)
• Neural Networks and Deep Learning
• Improving Deep NN Hyper parameter tuning, Regularization and Optimization
• Structuring Machine Learning Projects
• Convolutional Neural Networks
• Sequence Models
Advanced Machine Learning with TensorFlow on Google Cloud Platform
• End-to-End Machine Learning with TensorFlow on GCP
• Production Machine Learning Systems
• Image Understanding with TensorFlow on GCP
• Sequence Models for Time Series and Natural Language Processing
• Recommendation Systems with TensorFlow on GCP
Security in Google Cloud Platform
• Managing Security in Google Cloud Platform
• Mitigating Security Vulnerabilities on Google Cloud Platform
Architecting with Google Kubernetes Engine
• Architecting with Google Kubernetes Engine: Foundations
• Architecting with Google Kubernetes Engine: Workloads
• Architecting with Google Kubernetes Engine: Production
Developing APIs with Google Cloud's Apigee API Platform
• API Design and Fundamentals of Google Cloud's Apigee API Platform
• API Development on Google Cloud's Apigee API Platform
• API Security on Google Cloud's Apigee API Platform
DIGITAL MANUFACTURING & DESIGN (University at Buffalo, State University of New York, USA)
• Digital Manufacturing & Design
• Digital Thread: Components
• Digital Thread: Implementation
• Advanced Manufacturing Process Analysis
• Intelligent Machining
• Advanced Manufacturing Enterprise
• Digital Manufacturing Commons
• Cyber Security in Manufacturing
• MBSE--Model-Based Systems Engineering
Miscellaneous Certificates
• Machine Learning
• Machine Learning Foundations: A Case Study Approach
• Machine Learning: Regression
• The Data Scientist’s Toolbox
• Blockchain Foundation for Developers

Projects

• M.Sc. thesis title “Computerization of Account System of Allied Bank of Pakistan”
• MS thesis title, “FP-Tree based Role Mining with pre-assigned weighted permissions”.
• PhD thesis title, “Research on Big Data Graphs Summarization Theory and applications in the Cloud Environment”.

Research

Research Interst

1. Data Science & Big Data Technology
2. Human-AI Teaming Intelligence
3. Predictive Maintenance
4. Cloud Computing
5. Cyber Security

Reviewer

1. Electronic Commerce and Research (Springer)
2. World Wide Web Journal (Springer)
3. Digital Communications and Networks (Elsevier-KeAi)
4. IEEE Transactions on Big Data
5. IEEE Transactions on Industrial Informatics
6. IEEE Transactions on Intelligent Transportation Systems
7. IEEE Transactions on Emerging Topics in Computing
8. IEEE Transactions on Vehicular Technology
9. IEEE Transactions on Fuzzy Systems
10. IEEE Internet of Things Journal
11. IEEE Access
12. ACM Computing Surveys

Organising Chair

1. 1st International Workshop on AI System Engineering: Math, Modelling and Software, Linz, Austria (DEXA-2021)
2. 2nd International Workshop on AI System Engineering: Math, Modelling and Software, Linz, Austria (DEXA-2022)
3. The 3rd International Workshop on AI System Engineering: Math, Modelling and Software, Penang, Malaysia (DEXA-2023)
4. IEEE HPCC/DSS/SmartCity 2016, Sydney, Australia

TPC Member

1. International Conference on Intelligent Manufacturing and Industrial Big Data (ICIMIBD2022), Changsha, China, December 9-11, 2022.
2. The Sixteenth International Conference on Advances in Databases, Knowledge, and Data Applications (DBKDA 2024), Athen, Greece, March 10-14, 2024.
3. The 22nd IEEE International Symposium on Parallel and Distributed Processing with Applications (IEEE ISPA 2024), Kaifeng, Henan, China October 30 to November 2, 2024.

Guest Editor

1. International Journal of Intelligent Systems (Wiley/Hindawi, IF: 8.99), Special Issue on “Deep Learning-Driven Knowledge Graphs for Intelligent Computing and Applications”, 2022
2. Symmetry Journal (MDPI, IF: 2.7), Special Issue on “Symmetry and Asymmetry in AI-Enabled Human-Centric Collaborative Computing”, 2023
3. Intelligent Automation & Soft Computing (Technical Science Press, IF: 3.5), Special Issue on “AI Powered Human-Centric Computing with Cloud/Fog/Edge”, 2023
4. Journal of Cloud Computing (Springer Nature, IF: 3.4), Special Issue on “Mobile Edge Computing Meets AI”, 2023-2024
5. International Journal of Ad Hoc and Ubiquitous Computing (Inder Science, IF: 0.7), Special Issue on “Federated Learning for Edge based IoT Anomaly Detection in Big Data Streams”, 2024
6. Current Medical Imaging (Bentham Science, IF: 1.1), Special Issue on “Deep Learning for Advanced Image Analysis in Health Informatics”, 2024

Awards and Honours
PAF-IAST Post-doc Research Fellowship at SCCH, Austria (2021-2023)
Full Scholarship Award for PhD in China (2013-2018) Awarding Institute Name: CSC, China
Scholarship Award for MS in China (2011-2013) Awarding Institute Name: MOE Pakistan and CSC China
IEEE Member (2014 - 2022)
IEEE Senior Member (2022 – to-date)
ACM Member (2023 – 2024)
Expert Member of ATOS Scientific Community, France (2019-2020)

courses taught

MS (AI/Data Science) Courses

1. Statistical and Mathematical Methods For Data Science (Spring 2023, 2024)
2. Time Series Analyis and Prediction (Spring 2024)
3. Advanced Natural Language Processing (Fall 2024)

BS Courses

1. Introduction to ICT (Fall 2020)
2. Discrete Stractures (Spring 2021, Spring 2023, Fall 2023)
3. Programming Fudamentals (Fall 2023)
4. Introduction to Data Science (Fall 2023)
5. Programming For AI (Spring 2023)
6. Database Systems (Spring & Fall 2024)
7. Natural Language Processing (Fall 2024)

Students

1. Mr. Taimur Ahmed (Co-Supervising)

1. AI-Based Intelligent Vehicle’s Brake Fault Prediction System (Mr. Muhmmad Ahmed Khan, MS Artificial Intelligence, Spring-2023)
2. Fraud Detection in Blockchain Network using Machine Learning and Graph Analytics (Mr. Fahad Qureshi, MS Data Science, Fall-2023)
3. Extract, Transform Load Error Detection and Classification Using Machine Learning (Mr. Nazar Hussain, MS Artificial Intelligence, Fall-2023)
4. Predictive Maintenance Using MDP & Q-Learning (Mr. Bilawal Jadoon, MS Artificial Intelligence, Spring-2024)
5. Urdu Language command recognizer and translator using MFCC and CNN (Mr. Usman Nawaz, MS Artificial Intelligence, Spring-2024)
6. Pituitary Tumor Feature Extraction Methods Using MRI Images (Mr. Muhammad Haseeb Khan, MS Artificial Intelligence, Spring-2024)
7. Multi-Diseases Prediction Based on Low-Cost Blood Test Reports using AI (Ms. Maria BiBi, MS Artificial Intelligence, Spring-2024)
8. AI based Preservation and Restoration Modelling of the Sub-Surface Water (Ms. Javeria BiBi, MS Artificial Intelligence, Spring-2024)
9. Anomaly Detection with Self-Supervised Learning Using Deep Edge Intelligence and Federated Learning Approach (Mr. Muhammad Qasim Khan, MS Artificial Intelligence, Fall-2024)
10. Automated Detection of Thalassemia from Blood Smear Images Using Deep Learning (Mr. Muhammad Asad Khan, MS Data Science, Fall-2024)
11. IOT Enabled Anomaly Detection in Packaging Material Splice (Mr. Asif Khan, MS Artificial Intelligence, Fall-2024)
12. Fine-tuning of Diffusion Model with Pakistani Demographics (Ms. Anum Hafeez, MS Data Science, Fall-2024)

1. Predictive Maintenance in Industrial IoT using Deep Adversarial Learning (Ms. Isra Zafat, MS Artificial Intelligence, Spring-2023)
2. ECG Based Arrhythmia Classification using Deep Learning (Ms. Aqsa Khan, MS Artificial Intelligence, Spring-2023)
3. Healthcare Recommendation System for Cancer Patient (Ms. Yousra Rehman, MS Artificial Intelligence, Spring-2023)
4. Precise Image generation from EEG through generative models (Ms. Sana Irshad, MS Data Science, Spring-2024)
5. AI-based Eye Disease Pre-Symptomatic Detection Using Next-Generation Sequence Data (Mr. Muhammad Iqbal Khan, MS Artificial Intelligence, Spring-2024)
6. Large Language Model Based Virtual Legal Assistant (Ms. Nawal Khan, MS Artificial Intelligence, Spring-2024)

1. AI-Based Skilled People Marketplace App (Mr. Talal Zaman Abbassi and Yaseen Ejaz, Spring-2024)
2. Retrieval Augmented Generation for QA using Knowledge Graphs (Mr. Yaseen Ejaz Ahmed and Mr. Muhammad Danish, Spring-2024)
3. ACE (Autonomous Customer Experience) (Ms. Sibgha Ali and Mr. Sheikh Abdurrehman – 2024)