Moinul Hossain Rahat Email & Phone Number

Texas, United States

Texas, United States

New York, United States

Developed a quantum-inspired AI framework, from conceptualization to deployment in a production environment, for training of Large Language Models 2x faster.

Valencia, Valencian Community, Spain

• Led research initiatives focused on leveraging Quantum Machine Learning (QML) and Quantum Optimization techniques to address complex challenges in particle physics and beyond.
• Developed a hybrid Quantum Generative Adversarial Network (QGAN) architecture with a quantum generator and classical discriminator utilizing PennyLane and PyTorch capable of learning random distributions.
• Designed a hybrid Quantum Support Vector Machine (QSVM) classifier with a quantum feature map using Qiskit and trained using scikit-learn for quark-gluon jet classification for LHC data.
• Devised an anomaly detection algorithm for high energy physics datasets leveraging state-of-the-art Quantum Autoencoder architectures.
• Developed an algorithm formulating particle track reconstruction as a Quadratic Unconstrained Binary Optimization (QUBO) problem, solving it using quantum annealing in D-Wave Ocean, and using Variational Quantum.
• Applied ideas from quantum information science to discover viable pathways in resolving the black hole information paradox, deriving a novel bound on entanglement entropy for information extraction.

United Kingdom

• Conducted computational research in particle physics and cosmology, utilizing advanced statistical analysis techniques to build models, validate models against large datasets, and developing efficient solutions for.
• Collaborated on 8 projects with international teams, managing 5 projects by coordinating workflow, identifying team members' expertise, setting goals, and contributing to 8 published research papers.
• Presented research findings in seminars and conferences in international avenues, demonstrating effective communication skills and ability to convey complex scientific concepts to diverse audiences.
• Led three projects investigating potential sources of stochastic gravitational waves detected by pulsar timing arrays, employing Bayesian inference via MCMC methods to analyze data and construct predictive models.
• Developed two public code packages in Python for fast calculation of stochastic gravitational waves from cosmic strings, and for investigating cosmological impacts of dark matter particles in the early universe.
• Developed an optimized algorithm for calculating high order statistical correlation functions of inflationary perturbations, leveraging parallelized computation techniques, reducing the computation time by 90%.

United States

• Conducted dissertation research on utilizing symmetry groups to understand the data from neutrino experiments, and building predictive models.
• Developed a flavor symmetry and grand unification model for particle physics applying Group Theory techniques, capable of explaining neutrino mixing angles observed in experiments.
• Designed two models to explain the discrepancy in the observed data of muon g-2 experiment at Fermilab, identifying new physics from novel particles.
• Developed a fast algorithm for investigating signatures of particle production in the early Universe using high performance computing (HPC).

Gainesville, Florida Area

• Conducted research on Data-driven Cosmology, Computational Particle Physics, and theoretical Quantum Information Science supported by Department of Energy (DOE) and National Science Foundation (NSF).
• Presented research finding in international conferences, contributed to published research papers.
• Taught discussion and laboratory sessions for undergraduate Physics courses, communicating complex ideas to a diverse group of students.
• Won Wayne Bomstad II Memorial Award for Teaching Assistant (lab) and Graduate Student Teaching Award for 2019-2020.

Mumbai Area, India

• Conducted in-depth analysis of diverse financial datasets, including price-volume time series, fundamentals, analyst recommendations, and news data, across various asset classes including equities, ETFs, forex, and.
• Applied a wide range of quantitative techniques, including technical analysis, statistical arbitrage, sentiment analysis, and machine learning algorithms to uncover actionable insights and generate alpha for various.
• Contributed to the firm's investment decision-making process by collaborating with cross-functional international teams to optimize portfolio performance and mitigate risk in dynamic market conditions.

Mumbai Area, India

Dhaka, Bangladesh

• Taught laboratory classes on Programming Languages, Electrical Circuits, Electrical Machines and Electronics.
• Managed a student pool of 160 on average.

Dhaka, Bangladesh

• Designed an in-system programmer for PIC trainer kit using microcontroller and other embedded system based architectures.
• Prepared documentation and provided training to other staff members.

Doctor Of Philosophy (Ph.D.), Elementary Particle Physics

- building Beyond the Standard Model particle physics models using Grand Unification and Family Symmetry - predicting observables for.

Master Of Science - Ms, Physics

Relevant coursework: - Quantum Computing for Physicists - Quantum Error Correcting Codes - Quantum Mechanics I & II - Statistical Physics.

Bachelor Of Science (B.Sc.), Electrical And Electronic Engineering, 3.95 Out Of 4.00

- placed in top 5% of the graduating class - won Dean's List award for excellent academic achievements - senior year thesis on Quantum.