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 & 2025Invited Speaker — LBNL ANL4SSIAM CSE25 Contributed Lecture

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Dr. Ubaida Fatima

SIAM CSE25, Fort Worth, TX, USA

25M.S. Applied Mathematics theses supervised
1Ph.D. successfully supervised
3Ongoing Ph.D. supervisions
12GCWOT 2026 papers presented

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, and student research mentoring.

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.”

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.”

INMIC 2024 — Session Chair and Author

The 26th International Multi Topic Conference 2024 (INMIC 2024), Karachi, Pakistan. Served as session chair and contributed as author of two research papers.

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.

ACDSA 2025 and ACDSA 2026

ACDSA 2025: IEEE 2nd International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA 2025), Antalya, Türkiye, August 7–9, 2025.
ACDSA 2026: IEEE 3rd International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA 2026), Boracay Island, Philippines, February 5–7, 2026.

GCWOT 2026 — 12 Papers Presented

Global Conference on Wireless & Optical Technologies, Universidad de Málaga School of Telecommunications Engineering, Málaga, Spain, February 11–13, 2026. Presented 12 papers with postgraduate and undergraduate student collaborations.

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

© Dr. Ubaida Fatima | Academic Portfolio