Gadelhag Mohmed

Role

Dr. Gadelhag Mohmed is a Lecturer with the Department of Computer Science at Nottingham Trent University, where he is also a member of the Computational Intelligence and Applications (CIA) research group.

Career overview

Dr. Gadelhag Mohmed earned his BSc in Communication and Electronics Engineering from The Higher Institution of Engineering in Tobruk, Libya, graduating with First Honors. He pursued his MSc in Telecommunication and Electronics Engineering, achieving Distinction at Sheffield Hallam University, UK. His doctoral thesis, titled “Fuzzy Finite State Machine for Human Activity Recognition,” extends from his research during his PhD program at Nottingham Trent University.

Previously, Dr. Gadelhag Mohmed served as a Senior Researcher on multiple projects funded by Innovate UK, focusing on sustainable agriculture in collaboration between NTU and various industrial companies. Additionally, he has been actively involved in the development of several AI research initiatives within the Smart Farming sector.

External activity

Dr. Gadelhag's current research focuses on Artificial Intelligence (AI), the Internet of Things (IoT), and Big Data analysis. His work primarily revolves around Human Activity Recognition and Sustainable Agriculture, aiming to enhance human health and well-being through the former and elevate crop productivity in the latter.

Research Funding:

Dr Mohmed has made significant contributions to securing over £2 million in research funding for projects in sustainable agriculture and smart farming. Details of these projects are listed below:

• (PI) “Development of IoT based automated monitoring and controlling system for Big-data acquisition in vertical farming” (Strategic Research Themes Internal Funding 22/23, NTU, £10,000).
• (Co-PI) “IoT precision data solution for vertical farming” (Science Technology Facilities Council, joint with Hartree Centre (STFC), £10,000).
• (Co-PI) “Effect of IoT and AI developed LED light and Nutrient Recipes on growth and nutritional quality of Tomato cultivar grown Vertically” (Strategic Research Themes Internal Funding, 23/24 NTU, £10,000).
• The main researcher working on: “All-encompassing automated systems for vertical farming” (Innovate UK joint with Light Science Technology, £250,000), Project number 51565.
• The main researcher working on: “UK-China: precision for enhancing agricultural productivity” (Innovate UK-MoST, joint with CleanGrow, CAAS, AgriGarden, £1m). Project number: 107459.
• The main researcher working on: “Smart Green Grow - Design and development of an advanced, energy-efficient, carbon-neutral, turnkey vertical farm for onsite use at retailers, schools, and end-users” (Innovate UK, £710,000). Project number 10000012.
• The main researcher working on: “Amway Edelweiss (Leontopodium alpinum) trial: Towards intensive vertical farming of high-value plants for targeting components production” (NTU, joint with Amway, £550,000).

Public Engagements:

Dr Mohmed has actively participated in multiple public engagements, including interviews with BBC One and Notts TV, to discuss his research findings and their implications. These appearances have raised awareness and fostered understanding of the benefits of using artificial intelligence (AI) in agriculture. BBC link

Professional Recognition:

Dr Mohmed has been recognised as one of Nottingham Trent University's (NTU) experts in industry leading for sustainable food production and smart farming. In this role, he collaborates with various industrial partners to develop AI-driven and IoT (Internet of Things) technologies that optimise crop production and quality. His work focuses on creating bespoke 'AI-driven recipes' tailored to individual crops, employing advanced AI, precision control, phenotyping, and big data analytics. These innovations aim to enhance crop yields, improve quality, and reduce waste, contributing to more sustainable agricultural practices Industry leading expertise.