Learning & Discovery
Physics taught me how systems behave.
Computer science taught me how to build them.
Research continues to challenge what I believe is possible.
My career has never followed separate paths between engineering, research, and continuous learning. Each new challenge reshapes how I think, how I build, and how I approach complex systems.
Education
The academic threads — physics, computer science, and quantum computing — that keep looping back into everything I build.
2024 — Present · In progress
Quantum Computing / Quantum Machine Learning
University of Malaya · Kuala Lumpur, Malaysia
Research on Quantum Hybrid Language Processing under Prof. Dr. Loo Chu Kiong and Dr. Liew Wei Shiung — connecting quantum computation to modern language modelling.
2014 — 2023 · Completed
Computing & Machine Learning
University of Malaya · Kuala Lumpur, Malaysia
Thesis: "Enhanced Dynamic Quantum Clustering based on Von Neumann Entropy" under Prof. Loo Chu Kiong. Bridged classical clustering with quantum-inspired representations.
2001 — 2007 · Completed
Sharif University of Technology · Tehran, Iran
Undergraduate project: "Analytical Solution of the Heisenberg Model for a one-dimensional quantum spin system" under Prof. Abdollah Langari.
Research Vision
Investigate how quantum computing, hybrid AI, and classical optimization can be combined into decision systems that are more scalable, explainable, and honest about uncertainty.
Exploring quantum-native representations for clustering, similarity search, and language processing — with practical readiness on near-term hardware.
Quantum ClusteringQuantum KernelsVariational Circuits
Blending symbolic optimization, probabilistic modelling, and LLM-driven agents into decision systems that remain auditable and robust in production.
Optimization + LLMsMulti-agent SystemsReasoning under Uncertainty
Turning quantitative models into reusable platforms — the engineering discipline behind reliable, explainable business decisions.
Optimization PlatformsMMMReach Modelling
Current PhD
Investigating how quantum representations and hybrid classical–quantum architectures can meaningfully advance language processing tasks — with a bias toward approaches that are engineering-ready on near-term hardware.
Programme
PhD Candidate (Research), Computer Science
Field
Quantum Computing
Institution
University of Malaya · Kuala Lumpur, Malaysia
Period
2024 — Present · In progress
Supervisors
Focus areas
Milestones
Publications
Selected outputs — journal submissions, conference presentations, and workshop contributions.
Quantum Machine Intelligence
QNO 2019 — International Conference on Quantum & Nonlinear Optics, Kuala Lumpur
QNO 2018 — International Conference on Quantum & Nonlinear Optics, Kuala Lumpur · p. 78
42nd International School & Conference on the Physics of Semiconductors, Jaszowiec 2013 · TuP61 · p. 177
Academic Achievements
Scholastic markers, research collaborations, and the moments that shaped the trajectory.
2018 — Present
University of Malaya — Faculty of Computer Science & IT
Long-standing collaboration with the Advanced Robotics Lab team on quantum machine learning research spanning MSc through PhD candidature.
2007
Sharif University of Technology — Physics Department
Selected for undergraduate research collaboration on analytical solutions to one-dimensional quantum spin systems (Heisenberg model).
—
To be filled
Slot reserved for a future academic milestone. Detailed content will be added later.
Professional Learning
Ongoing training — certifications and courses that widen the toolkit, plus the everyday habit of reading, replicating, and building.
2026
AWS Certified AI Practitioner
Amazon Web Services
2018
Quantum Computing & Quantum Internet — Professional Certification
TU Delft via edX
2026
Agentic AI
DeepLearning.AI
2025
Introduction to Quantum Information
KAIST via Coursera
2022
Data Science and Machine Learning: Making Data-Driven Decisions
MIT IDSS · Great Learning
2020
Artificial Intelligence and Machine Learning
The University of Texas at Austin · Great Learning
2019
Quantum Machine Learning
University of Toronto via edX
2016
Joint AIS–ICTP School on Quantum Information Processing
ICTP · NUS
ongoing
Continuous exploration
Self-directed
Reading, replicating papers, and building small research prototypes in quantum ML, agentic AI, and mathematical optimization.
Awards & Recognition
Talks, endorsements, and community recognition that reflect the work's reach beyond the day-to-day.
International Conference on Quantum & Nonlinear Optics (QNO)
Invited to present on quantum machine-learning clustering methods to a research audience in Kuala Lumpur.
Kinesso Australia · Quantitative Engineering
Standing collaboration and technical endorsement across markets — a reflection of cross-team trust rather than a single moment.
To be filled
Slot reserved for future recognition — talks, guest lectures, community contributions, or industry acknowledgments.