Curriculum Vitae

KU Leuven, Belgium

Amirkabir University of Technology, Tehran

GPA 18.84 / 20, top 5% of the cohort.

Bachelor thesis: Analysis and comparison of the HHL algorithm with classical methods for solving linear systems, and its application in linear regression.

Allameh Helli High School (NODET)

GPA 19.40 / 20.

Supervisors: Prof. Muhammad Shafique and Dr. Alberto Marchisio · ebrain4everyone.com

Hybrid quantum-classical neural network optimization. Developed QNAS, a multi-objective framework for automated quantum neural architecture search using NSGA-II, accepted at IEEE IJCNN 2026 (WCCI 2026).

• Multi-objective search over quantum circuit hyperparameters, balancing accuracy, circuit cost and hardware constraints.
• Circuit-cutting and wire-cutting-aware objectives for near-term quantum devices.
• Checkpoint-based correlation analysis for early stopping of unpromising candidates.
• Paper: arXiv:2604.07013. Code: github.com/Kooshano/QNAS.

Supervisor: Prof. Negar Ashari Astani · qucal.aut.ac.ir

Enhancing the Hybrid HHL algorithm through deep learning-based Pauli decomposition.

• Deep learning methods for efficient Pauli decomposition, to improve quantum algorithm performance.
• Integrating classical machine learning with quantum algorithms for linear-system solving.
• Applications of the enhanced HHL algorithm to quantum machine learning tasks.

QNAS: A Neural Architecture Search Framework for Accurate and Efficient Quantum Neural Networks

K. Maleki, A. Marchisio, M. Shafique

A multi-objective framework for automated architecture search over hybrid quantum-classical neural networks. NSGA-II jointly optimizes accuracy, circuit cost and wire-cutting partitionability, with checkpoint-based correlation analysis to stop unpromising candidates early.

arXiv:2604.07013 Code

mfp.co.ir

• Built a machine vision system for analyzing cardiac ultrasound images, improving the accuracy and speed of diagnostics.
• Implemented image segmentation and contour detection with OpenCV and machine learning.
• Collaborated with Shahid Rajaei Hospital to collect and process real-world medical data.
• Built interactive interfaces and data visualizations with PySide6 and Matplotlib.
• Contributed to localizing cardiac ultrasound equipment, reducing dependence on imported technology.
• Developed algorithms for measuring heart muscle strain and ejection fraction (EF).

Amirkabir University of Technology

• Problem: benchmark quantum linear-system solving against strong classical baselines.
• Build: end-to-end HHL implementation with CPU/GPU support, logging, and a regression pipeline.
• Stack: Qiskit, Python, NumPy, CUDA.

Repository

Personal project

• Problem: improve convergence stability through functional approximation.
• Build: a from-scratch KAN-style network with custom activations and hand-written backpropagation.
• Stack: Python, numerical optimization, spline interpolation.

Repository

• Advanced Programming with Dr. Taromi RadFall 2025
• Software Engineering II with Dr. GohariFall 2025
• Special Topics in Quantum Computing (graduate, head TA) with Dr. Negar Ashari AstaniSpring 2025
• Microprocessors and Assembly (head TA) with Dr. FarbehSpring 2025
• Computer Networks with Dr. SabaeiFall 2024, Spring 2025
• Applied Linear Algebra with Dr. NazerfardFall 2024
• Computer Architecture with Dr. ZarandiSpring 2024, Spring 2025
• Algorithm Design with Dr. Dolati MalekabadSpring 2023
• Logic Circuits with Dr. Sedighi, Dr. Saheb ZamaniSpring 2023

Trained students for the Iranian Physics Olympiad, with an emphasis on conceptual depth over drill.