Open to opportunities

Muhammad Hammad Saleem

@muhammadhammadsaleem

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Detail-oriented academic with expertise in computer science and data analysis.

United Kingdom

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What I'm looking for

I seek a role that fosters innovation and collaboration, allowing me to contribute to impactful research and teaching.

I am Dr. Muhammad Hammad Saleem, a dedicated academic and researcher with a Ph.D. in Learning/Computer Vision from Massey University, New Zealand. My professional journey has been marked by a commitment to excellence in teaching and research, particularly in the fields of machine learning and data analysis. Currently, I serve as a Lecturer in Computer Science at the University of Salford, UK, where I teach both undergraduate and postgraduate modules, supervise student projects, and assess academic assignments.

My previous role as an Asset Information Analyst at Horizon Networks in New Zealand allowed me to enhance data accuracy and quality through analytical methods and SQL. I have contributed to significant research projects, resulting in multiple publications in reputable journals, including award-winning articles on plant disease detection using deep learning techniques. My academic achievements, including a place on the Dean's List for my Ph.D. thesis, reflect my dedication to advancing knowledge in my field.

Experience

Work history, roles, and key accomplishments

Current

Lecturer in Computer Science

Current

University of Salford

Nov 2023 - Present (1 year 8 months)

Responsible for teaching Undergraduate and Postgraduate computer science modules including computer programming, machine learning and data mining, natural language processing, and advanced databases. Supervised Undergraduate Final Year Projects and Postgraduate MSc Dissertations, and assessed assignments and MSc Dissertations.

Programming Machine Learning Data Mining Natural Language Processing

Asset Information Analyst

Horizon Networks

May 2022 - Nov 2023 (1 year 6 months)

Identified potential gaps and problems in electrical data and proposed solutions to improve data accuracy and completeness. Improved the electrical data quality framework using data analytical methods, and extensively used SQL for querying and maintaining/creating Power BI dashboards.

SQL Power BI Data Analysis Data Quality Electrical Data Asset Management

Research Assistant

Manukau Institute of Technology

Apr 2022 - Dec 2022 (8 months)

Participated in machine learning research for non-intrusive load monitoring (NILM) and produced a review article for possible publication in a reputed scientific journal. Assisted with an extended version of the machine learning algorithm for NILM.

Machine Learning Research Non Intrusive Load Monitoring (NILM)Algorithm Development

Private Tutor

Jul 2016 - Jun 2019 (2 years 11 months)

Provided private tutoring for further and secondary education students. Taught subjects including mathematics, computer science, physics, and chemistry.

Mathematics Computer Science Chemistry Education

Lecturer

NED University of Engineering and Technology

Jul 2016 - Jun 2019 (2 years 11 months)

Taught seven undergraduate courses and prepared a lab workbook on Electrical Machine-II and Feedback Control Systems according to OBE. Performed examination invigilation, and acted as internal/external examiner for various courses, and supervised final-year projects.

Teaching Electrical Machines Exam invigilation

Education

Degrees, certifications, and relevant coursework

Massey University

Ph.D., Deep Learning/Computer Vision

Grade: Dean's List of Exceptional Doctoral Theses

Activities and societies: Massey University PhD scholarship funded by Lincoln AgriTech/Science for Technological Innovation National Science Challenge, New Zealand.

Completed a Ph.D. with a focus on Deep Learning and Computer Vision. The thesis was included in the Dean's List of Exceptional Doctoral Theses.