Dr ASM Ashraf Mahmud Mahmud [PhD, MSc, MStat, FHEA, SMIEEE, MACM, MBCS]

AI-Powered Smart Grid Innovation | Microsoft Azure and AWS Cloud AI Solutions | AI/ML Consultant | Generative AI | Machine Learning and Deep Learning. PhD in Data Science and AI

Poplar, England, United Kingdom

About

Highly qualified and experienced professional. Multi-disciplinary approach (Statistics and Computer Science). Diverse experience including 20 years industry/professional experience to support Higher Education teaching and research. Current research focuses on Smart Grid, Smart Cities, Vehicular Technology, Computer Networking, Data Science, Cloud Computing and Big Data Analytics. Skilled in supporting learning in different contexts. Management and Leadership experience.

Experience

  • Lecturer (Asst. Professor) and Programme Leader, Data Science and Artificial Intelligence at University of the West of Scotland
    Aug 2022 - Present · 4 yrs

    I am currently Programme Leader for Data Science and Artificial Intelligence. I am in London Campus. I have been teaching teaching various modules in Computing, Engineering and Physical Sciences like AI, Data Science, IoT, Smart grid Technologies, Emerging Technologies and Project Management, Object Oriented Programming, C++, Introduction to Programming, Microsoft Azure AI 900, AZ 400, DP 100, Research Methods in Computing, Computer System Structure and Database, Python for Network Engineers, Forensic Analysis, Ethical Hacking Tools and Techniques, Mobile Business Technologies, Ethics for IT Professionals, Supervising Data Science MSc, PhD Students. Taught in London Campus, Wuxi, China. Doing many external acitivites.

  • Lecturer at University of Reading
    Sep 2021 - Aug 2022 · 1 yr

    I taught Computer Networking, Big Data Analytics and Cloud Computing, Programming with C++, Python, Java, Mathematics, Supervise Huawei Global Competition and won first prize. Contributed Open day lecture at University of Reading. Module Convenor - Big Data Analytics. Supervision MSc and Final Year students

  • Lecturer at York St John University
    Jul 2020 - Sep 2021 · 1 yr 3 mos

    Develop and deliver course materials of Internet of Things at London Campus. Co-delivery and assist in teaching the other modules Machine Learning, Artificial Intelligence, Big Data Analytics and Cyber Security. MSc Module leader- Internet of Things. Supervision- MSc and Final Year Students.

  • University of Bedfordshire (6 yrs 9 mos)
    • Lecturer
      Jan 2015 - Sep 2021 · 6 yrs 9 mos

      I taught Research Methodologies and Project Management in Emerging Technology, Computer Network Systems, Computer System Structure and Database, Modern Database Practice and System Development, Wireless Communications, Network Programming. Unit Co-ordinator- Computer System Structure and Database Supervision- Final Year and MSc Final Year Students.

    • Visiting Lecturer
      Jan 2015 - Jun 2019 · 4 yrs 6 mos

      Taught Computer Networking, Data Communication, Wireless Communication, Data Base (MS Access, SQL, ORACLE APEX ), Python classes for undergraduate/postgraduate students in the University of Bedfordshire, UK.

  • Research Associates at Heriot-Watt University
    Jul 2019 - Dec 2020 · 1 yr 6 mos

    Research Associate of the ReFLEX project funded by the UKRI. Research interest includes Smart Grid, Smart City, Data Science, Computer Network Systems, and Wireless Communications. He is a multidisciplinary approach aided by his PhD in Computer Science, Master degrees in IT as well as Statistics. Supervising PhD and MSc by research students at Heriot-Watt University. Working as staff https://smartsystems.hw.ac.uk/employees/dr-asm-ashraf-mahmud/ at Smart Systems Research Group, influencing future product development, business models, the resilience of critical infrastructure and exploration within extreme environments. The Smart Systems Group (SSG) believes we must transform data into actionable information and utilise this insight to create innovatively, data-informed, Smart Systems that can assess, adapt and respond to dynamic conditions. Our multidisciplinary team with expertise in data analysis, artificial intelligence, prognostics, manufacturing, energy systems and sensing technologies, are focused on the design, manufacture and characterisation of transformative Smart Systems. Supervision- MSc by research and PhD students