Eng. Syed Yousaf Munib

Pronouns: He/Him


Research Assistant of Chemical Engineering and Sustainable Energy
MSc Sus. Energy, MSc Logistics & SCM, BS Materials Eng., BSc Maths & Physics
31 BC 02 (Available Monday to Friday, 9am-5pm)

Academic and research departments

School of Chemistry and Chemical Engineering.

About

Areas of specialism

Green Hydrogen Production and Solid Oxide Electrolysers; Electrochemistry and Electrochemical Testing; Materials Engineering and Characterisation; Surface Engineering and Metallic Coatings; Redox Flow Batteries and Energy Storage; Sustainable Energy Technologies

University roles and responsibilities

  • Research Assistant, EPSRC funded METASIS 2.0 Project
  • Development of Advanced Materials and Surface Coatings for Solid Oxide Steam Electrolysers
  • Development of Advanced Materials and Surface Coatings for Solid Oxide Steam Electrolysers
  • Laboratory Research Planning and Experimental Analysis
  • Laboratory Safety and COSHH Risk Assessments
  • Research Collaboration in Sustainable Hydrogen Production

    My qualifications

    2025
    MSc Sustainable Energy with Industrial Practice (Taught Component Completed, Industrial Placement Ongoing)
    University of Surrey, UK
    2023
    MSc Logistics and Supply Chain Management
    Birmingham City University, UK
    2021
    Bachelor of Science in Materials Engineering
    Ghulam Ishaq Khan Institute of Engineering Sciences and Technology (GIKI), Pakistan
    2016
    Bachelor of Science (Mathematics and Physics)
    The Islamia University of Bahawalpur, Pakistan

    Previous roles

    2026
    Research Assistant

    Supporting Dr Bahman Amini Horri in the METASIS 2.0 research project through laboratory planning, materials development, electrochemical testing and analysis to support sustainable hydrogen production.
    University of Surrey, UK
    2025 - 2026
    Course Representative

    Assisting academic staff and supporting MSc Sustainable Energy students by communicating feedback, addressing concerns and helping ensure a smooth learning experience for the cohort.
    University of Surrey, UK
    2025 - 2026
    Operations Team Member

    Supporting the Formula Student team with project activities, engineering coordination and the selection of sustainable materials for vehicle components.
    Team SURTES, University of Surrey, UK
    2019 - 2020
    Materials Science Intern

    Assisting Dr Rashid Ali with laboratory research on titanium-based materials, including surface coatings, materials testing and characterisation using X-ray diffraction and nanoindentation.
    Ghulam Ishaq Khan Institute of Engineering Sciences and Technology, Pakistan
    2016 - 2017
    Teaching Assistant

    Assisting lecturers with undergraduate Mathematics and Physics teaching, preparing learning materials, answering student questions and supporting problem-solving sessions.
    The Islamia University of Bahawalpur, Pakistan

    News

    In the media

    2025

    University of Surrey Feature: My Journey in Sustainable Energy

    Featured Contributor
    University of Surrey
    2026

    SurreyDecides 2026: Vice President Community Election Debate

    VP Community Candidate and Election Runner-up (Second Place)
    Surrey Union and StagTV Surrey University

    Research

    Research interests

    Sustainable development goals

    My research interests are related to the following:

    Publications

    Syed Yousaf Munib, Syed Osma, S. Tabinda, Faiza Yousaf, Hanzala Shehzad (2026) Artificial Intelligence for Battery Safety, Degradation Prediction and Circular Economy in Net-Zero Transport and Grid Energy Storage: A Systematic Review and UK Research Roadmap

    This systematic review examines how artificial intelligence can improve lithium-ion battery safety, degradation prediction and circular economy applications in electric vehicles and grid energy storage. The study reviews research published between 2019 and 2025, focusing on machine learning, deep learning and physics informed AI methods. It explores their applications in thermal runaway prediction, battery state of health estimation, remaining useful life prediction, second life battery assessment and recycling. The review identifies important challenges, including limited data availability, model reliability and explainability. It also proposes a UK Research Roadmap for 2026-2035, highlighting explainable AI, digital twins, federated learning and AI-driven recycling to support safer, more reliable and sustainable battery technologies.