Foto del docente

Ghulam Mustafa

Dottorando

Dipartimento di Informatica - Scienza e Ingegneria

Settore scientifico disciplinare: ING-INF/05 SISTEMI DI ELABORAZIONE DELLE INFORMAZIONI

Curriculum vitae

Scarica Curriculum Vitae (.pdf 181KB )

EDUCATION

University of Bologna, Italy — PhD in Computer Science and Engineering
November 2024 – Present
Supervisor: Prof. Claudio Sartori
Research Area: Machine learning and scientific data analysis for gamma-ray astrophysics, with a focus on the COSI mission, gamma-ray burst detection and localization, Compton event reconstruction, and Angular Resolution Measure analysis.

Sun Moon University, South Korea — M.S. in Computer and Electronics Convergence Engineering
March 2022 – February 2024

Supervisor: Prof. Youngsup Hwang
Thesis: Bus Travel Time Prediction in Cheonan City Using Deep Learning with Digital Tachograph Data

Karabük University, Türkiye — Academic Exchange Program in Computer Engineering
February 2020 – July 2020

Quaid-e-Awam University of Engineering, Science and Technology, Pakistan — B.S. in Computer Science
January 2017 – January 2021

Thesis: Application of Drone Surveillance for Advanced Agriculture Monitoring Using Convolutional Neural Networks

ACADEMIC AND PROFESSIONAL EXPERIENCE

PhD Researcher
University of Bologna, Italy
November 2024 – Present

Conducting research on machine learning and scientific data analysis for gamma-ray astrophysics in collaboration with researchers working on NASA’s Compton Spectrometer and Imager mission.

Incoming Erasmus+ Research Trainee
Johannes Gutenberg University Mainz, Germany
September 2026 – November 2026

Project: Advanced Machine Learning for Transient Detection and Localization for the COSI Space Mission

Machine Learning Laboratory Instructor
Bologna Business School, University of Bologna, Italy
November 2025 – February 2026

Delivered machine-learning laboratory activities for the Data Science and Business Analytics and AI and Innovation Management programs.

Lecturer, Department of Artificial Intelligence and Multimedia Gaming
Aror University of Art, Architecture, Design and Heritage, Sindh, Pakistan

August 2024 – Present
Currently on study leave for doctoral studies.

RESEARCH PROJECTS

  1. COSI Gamma-Ray Burst Detection, Localization, and ARM Analysis
    University of Bologna and INAF/OAS Bologna, Italy
    November 2024 – Present

    Developing and validating scientific analysis workflows for gamma-ray burst detection and localization using simulated COSI data. The work includes Compton event reconstruction, Angular Resolution Measure computation and event selection, background modeling, light-curve analysis, and source localization.

  2. Short Gamma-Ray Burst Localization Using the COSI BGO Shield
    COSI Collaboration
    2025 – Present

  3. Automated Scientific Pipelines and Real-Time Processing for COSI
    COSI Collaboration
    2025 – Present

  4. Prediction of Bus Travel Time Using Digital Tachograph Data
    Sun Moon University and Dankook University, South Korea
    March 2022 – December 2023

    Developed a deep-learning approach for predicting bus travel times in Cheonan City using digital tachograph data.

  5. Hybrid ConvLSTM with Attention for Driver Behavior Classification
    Sun Moon University and Dankook University, South Korea
    March 2022 – December 2023

    Developed the HCLA-DBC model by combining convolutional neural networks, long short-term memory networks, and attention mechanisms to classify normal, aggressive, and drowsy driving behavior.

  6. TrafficNet: A Hybrid CNN-FNN Model for Traffic Accident Analysis
    Sun Moon University and Dankook University, South Korea
    March 2022 – December 2023

    Developed a hybrid deep-learning model for analyzing and classifying the severity of traffic accidents in Seoul.

  7. Drone Surveillance for Advanced Agricultural Monitoring
    Quaid-e-Awam University of Engineering, Science and Technology, Pakistan
    January 2019 – December 2019

    Applied drone surveillance, convolutional neural networks, and image classification techniques to detect plant diseases and support agricultural monitoring.

TECHNICAL AND DIGITAL SKILLS

Programming Languages: Python, C++, C, Java, and JavaScript

Scientific Computing and Machine Learning: NumPy, pandas, SciPy, scikit-learn, TensorFlow, PyTorch, Matplotlib, and Jupyter Notebook

Gamma-Ray Astrophysics and Data Analysis: cosipy, MEGAlib, COSIMA, REVAN, Mimrec, Astropy, HEALPix/healpy, FITS data analysis, Compton event reconstruction, and Angular Resolution Measure analysis

Databases: MySQL, SQLite, and Firebase

Development and Research Tools: Linux, Git, GitHub, LaTeX, and Jupyter Notebook

Simulation and Network Analysis: SUMO, NetworkX, PyCity, and Google Earth Pro

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