Academic Portfolio

Dr. Ubaida Fatima

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.

Best Researcher Award 2024 & 2025h-index 10Invited Speaker — LBNL ANL4SSIAM CSE25 Contributed Lecture

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Dr. Ubaida Fatima

SIAM CSE25, Fort Worth, TX, USA

309+Citations
10h-index
12i10-index
25M.S. theses supervised
1Ph.D. completed
3Ongoing Ph.D. scholars

Research Focus

Mathematically grounded and application-driven AI research for healthcare, graph analytics, finance, control systems, and scientific discovery.

Quantum Machine LearningFuzzy Explainable AITrustworthy NetworksNetwork ScienceDisease ModelingTransportation OptimizationGraph Machine LearningLarge Language ModelsCyber-Physical Systems

Quantum Machine Learning

Practicing QML and exploring quantum-classical models for medical, biological, control-system, and network-based datasets.

Fuzzy Explainable Reasoning

Developing fuzzy logic and multi-valued reasoning frameworks for uncertainty-aware healthcare decision support.

Networks for Science

Trustworthy graph-based AI for transportation optimization, disease modeling, cyber-physical systems, and LLM-supported scientific discovery.

Featured Publications

Selected journal and conference work in fuzzy AI, quantum learning, network science, and centrality metrics.

Featured Journal Publications

  1. U. Fatima, S. Hina, and M. Wasif, “Dangling centrality highlights critical nodes by evaluating network stability through link removal,” Scientific Reports, 2025.
  2. U. Fatima and R. Khushal, “Enhancing Explainability in Epidemiological Predictions Using Fuzzy Logic Integrated with Machine and Deep Learning Algorithms,” Scientific Reports, 2025.
  3. R. Khushal and U. Fatima, “Fuzzy Quantum Machine Learning Logic for Optimized Disease Prediction,” Computers in Biology and Medicine, 2025.
  4. A. Moiz, U. Fatima, and M. Z. Ul Haque, “A New Framework for Pinpointing Crucial Proteins in Protein-Protein Interaction Networks,” IEEE Access, 2024.
  5. U. Fatima, S. Hina, and M. Wasif, “A novel GCCDC metric for large network analysis using real-world datasets,” Journal of Computational Science, 2023.

Featured Conference Publication

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.

Teaching & Research Supervision

Outcome-based, research-oriented teaching and mentoring across undergraduate, postgraduate, and Ph.D. levels.

Courses

  • Artificial Intelligence in Healthcare
  • Mathematics for Artificial Intelligence
  • Fuzzy Logic and Neural Networks
  • Probability and Statistics
  • Biostatistics
  • Numerical Methods
  • Graph Theory

Supervision

  • 25 M.S. Applied Mathematics theses supervised
  • 1 Ph.D. Applied Mathematics successfully supervised
  • 2 ongoing Ph.D. scholars, Department of Mathematics, NEDUET
  • 1 ongoing Ph.D. scholar in Biomedical Engineering, Salim Habib University

Tools & Skills

  • Python
  • R Software
  • MATLAB
  • SPSS
  • Gephi
  • Minitab
  • C++

Academic Leadership & International Engagements

Invited talk, contributed lecture, poster presentation, session chair roles, IEEE conference presentations, and student research mentoring.

IVIT 2024 — International Research Presentation and Student Mentorship

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.

INMIC 2024 — Session Chair, Poster Judge, and Author

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 CSE25 — Contributed Lecture

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.”

ACDSA 2025 — International Research Presentation

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.

SIAM NCC25 — Poster Presentation

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.”

ANL4S Workshop — Invited Lightning Talk

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.”

ACDSA 2026 — International Research Presentation

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.

GCWOT 2026 – International Research Showcase

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.

ICETBEST 2024 & ICETBEST 2026 — Session Chair

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.

Awards & Recognition

Academic research excellence, editorial contributions, and peer-review service.

Best Researcher Award 2025

Advanced Studies & Research Board, NED University of Engineering & Technology.

Best Researcher Award 2024

Recognized for research publications and scholarly contribution.

Reviewer & Editorial Service

Young Scientist Board Member and reviewer for IEEE Access, Scientific Reports, MethodsX, Digital Health, Neurocomputing, and related journals.

Personal Interests

Personal discipline, well-being, and academic balance.

Contact

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