Assistant Professor | Artificial Intelligence | Fuzzy Machine Learning | Quantum Machine Learning | Network Science
Advancing explainable AI, fuzzy reasoning, trustworthy networks, quantum machine learning, computational intelligence, and network science for healthcare, transportation optimization, disease modeling, cyber-physical systems, LLMs, and complex real-world datasets.
SIAM CSE25, Fort Worth, TX, USA
Mathematically grounded and application-driven AI research for healthcare, graph analytics, finance, control systems, and scientific discovery.
Practicing QML and exploring quantum-classical models for medical, biological, control-system, and network-based datasets.
Developing fuzzy logic and multi-valued reasoning frameworks for uncertainty-aware healthcare decision support.
Trustworthy graph-based AI for transportation optimization, disease modeling, cyber-physical systems, and LLM-supported scientific discovery.
Selected journal and conference work in fuzzy AI, quantum learning, network science, and centrality metrics.
U. Fatima and T. Ahsan, “A Novel Dangling Centrality Metric for Real-Life Quantum Graphs with Applications in Control Systems,” 2025 IEEE International Conference on Quantum Artificial Intelligence (QAI), Naples, Italy, 2025, pp. 466–472. DOI: 10.1109/QAI63978.2025.00078.
International Research Collaboration:
Institute of Automatic Control, Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau (RPTU), Kaiserslautern, Germany.
Outcome-based, research-oriented teaching and mentoring across undergraduate, postgraduate, and Ph.D. levels.
Invited talk, contributed lecture, poster presentation, session chair roles, IEEE conference presentations, and student research mentoring.
2024 International Visualization, Informatics, and Technology Conference (IVIT), Universiti Kuala Lumpur, Malaysia, August 7–8, 2024. Presented two research papers with supervised students:
1. A. Moiz and U. Fatima, “Key Element Identification in Large Biological Datasets: An MCDM Comparative Study,” pp. 153–158, DOI: 10.1109/IVIT62102.2024.10692773.
2. R. Khushal and U. Fatima, “Fuzzy Computing in Healthcare,” pp. 78–83, DOI: 10.1109/IVIT62102.2024.10692652.
IEEE 26th International Multi-Topic Conference (INMIC 2024), Karachi, Pakistan, December 30–31, 2024. Served as Session Chair and Poster Presentation Judge and presented two research papers:
1. K. Noor and U. Fatima, “Dynamic Financial Time Series Modeling with Rapid Adaptation via Meta Learning,” DOI: 10.1109/INMIC64792.2024.11004384.
2. S. Naz and U. Fatima, “The Early Prediction of Chronic Diseases Through Diverse Machine Learning Techniques,” DOI: 10.1109/INMIC64792.2024.11004317.
SIAM Conference on Computational Science and Engineering (CSE25), Fort Worth, TX, USA, 2025.
Lecture: “A New Dangling Centrality Metric and Its Comparison with Existing Centrality Measures for Real-World Datasets.”
IEEE 2nd International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA 2025), Antalya, Türkiye, August 7–9, 2025. Presented: K. Batool and U. Fatima, “Analysis of High Frequency Markets: Global News Impact and Efficient Market Hypothesis Insights,” DOI: 10.1109/ACDSA65407.2025.11166630.
2nd SIAM Northern and Central California Sectional Conference, Lawrence Berkeley National Laboratory, Berkeley, CA, USA, October 27–28, 2025.
Poster: “Fuzzy Reading of Complexity: Addressing Uncertainties in Social Network Analysis with Graph Neural Networks.”
Workshop: Network Algorithms, Analysis, and Learning for Science (ANL4S).
Organized by: Lawrence Berkeley National Laboratory (LBNL), USA.
Venue: David Brower Center, Berkeley, CA, USA. Date: November 5–6, 2025.
Talk: “A Theoretically Informed Dangling Centrality (φC) Metric Complementing and Challenging Existing Centrality Measures in Complex Networks.”
IEEE 3rd International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA 2026), Boracay Island, Philippines, February 5–7, 2026. Presented in hybrid mode: M. Mateen and U. Fatima, “Quantum-Inspired Boltzmann Refinement for Neuropsychiatric Risk Prediction in Incomplete Clinical Data,” DOI: 10.1109/ACDSA67686.2026.11467986.
Attended the 2026 Global Conference on Wireless and Optical Technologies (GCWOT 2026), held at the Universidad de Málaga, Spain, on February 11–13, 2026. Presented 12 peer-reviewed research papers published in IEEE Xplore, covering Artificial Intelligence, Machine Learning, Quantum Machine Learning, Network Science, Cyber-Physical Systems, Healthcare Analytics, Computational Intelligence, Financial Analytics, and Biomedical Data Science.
The presented works addressed secure monitoring in cyber-physical systems, quantum-classical machine learning, healthcare decision support, disease prediction, reinforcement learning, financial market forecasting, renewable energy analytics, fuzzy social network analysis, and novel network centrality measures.
Selected Publication:
U. Fatima and T. Ahsan,
“Centrality-Driven Secure Remote Monitoring and Fault Detection in Three-Tank Cyber-Physical Systems,”
2026 Global Conference on Wireless and Optical Technologies (GCWOT),
Málaga, Spain, 2026.
DOI: 10.1109/GCWOT69191.2026.11499465.
Conference Proceedings: Published in IEEE Xplore.
International Conference on Emerging Trends in Biomedical Engineering, Science and Technology, Karachi, Pakistan. Served as session chair. At ICETBEST 2026, four supervised students presented accepted abstracts at Salim Habib University.
Selected moments from US-based academic and network science engagements.
2nd SIAM Northern and Central California Sectional Conference, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.
Workshop on Network Algorithms, Analysis, and Learning for Science, organized by Lawrence Berkeley National Laboratory, Berkeley, CA, USA.
Academic research excellence, editorial contributions, and peer-review service.
Advanced Studies & Research Board, NED University of Engineering & Technology.
Recognized for research publications and scholarly contribution.
Young Scientist Board Member and reviewer for IEEE Access, Scientific Reports, MethodsX, Digital Health, Neurocomputing, and related journals.
Personal discipline, well-being, and academic balance.
Open to research collaboration in AI, fuzzy machine learning, quantum machine learning, trustworthy networks, healthcare analytics, and computational intelligence.
Email: ubaida@neduet.edu.pk | ubaidaf89@gmail.com
Affiliation: Department of Mathematics, NED University of Engineering & Technology, Karachi, Pakistan
LinkedIn: linkedin.com/in/dr-ubaida-fatima-814ab4223
ORCID: 0000-0003-0372-0858
Google Scholar: https://scholar.google.com/citations?user=EiW3MU4AAAAJ