Dr Taha Mansouri
| Biography | Taha is an AI, Computer Vision, and Deep Learning specialist with a dual PhD in Artificial Intelligence and Deep Learning from the University of Salford (UK) and Information Technology Management from Allameh Tabataba'i University (Iran). He brings his 14+ years of industry experience to enrich his academic career, which began in 2012. Since joining the University of Salford as a Research Associate in 2019 and later as a Lecturer in AI in 2022, Taha's research focuses on applying AI solutions to real-world problems. He's a specialist in developing explainable deep learning for transparency, computer vision models, and exploring the ethical considerations of Large Language Models. Taha's impactful research, published in esteemed journals, demonstrates the depth and significance of his contributions to the field of AI. Taha has developed techniques to make deep learning models more transparent including: https://ieeexplore.ieee.org/abstract/document/9801817 https://onlinelibrary.wiley.com/doi/full/10.1111/exsy.13316 He has also made significant contributions to optimization algorithms, developing fundamental model-free approaches: https://www.sciencedirect.com/science/article/abs/pii/S0950705118304854 https://www.sciencedirect.com/science/article/abs/pii/S0957417410010419 https://www.sciencedirect.com/science/article/abs/pii/S1568494610001122 Taha's implemented codes can be explored in the following link: https://github.com/tahamsi Taha's current research focuses on measuring bias and fairness in complex AI solutions, including large language models and computer vision systems. This vital work ensures the responsible development and deployment of AI. Taha's editorial experience includes: Guest Editor: "Blockchain: Applications, Challenges, and Solutions" https://www.mdpi.com/journal/futureinternet/special_issues/B_ACS Current Guest Editor: "Application of Sensor Technologies in Livestock Farming" for the prestigious journal Agriculture (Impact Factor 3.6). https://www.mdpi.com/journal/agriculture/special_issues/sensors_application "Machine Vision Solutions and AI-Driven Systems in Agriculture." https://www.mdpi.com/2076-3417/13/5/2879 He currently serves on the: Conference Organizing Committee and Programme Committee of the 35th Annual Conference of the International Information Management Association. Track Chair for Ethics in Digital, AI, Big Data, Data Science, and Marketing Science. https://iima.org/wp/call-for-papers/ |
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| Research Interests | Ethics in AI Taha is currently leading an Innovate UK Smart Grant research project, with a total funding of £500,000, focused on ensuring the ethical compliance of conversational AI systems. To support this groundbreaking work, Taha is supervising a postdoctoral research associate, alongside two PhD candidates whose research also centers on ethics in AI. Beyond the project, Taha is deeply engaged in advancing fairness and transparency in AI. His research explores ways to measure fairness in computer vision models and delves into Explainable AI (XAI). With a commitment to making deep learning models more transparent. Recently, he embarked on a research project to explore potential biases in facial emotion detection AI systems. His work focused on examining how these systems might treat individuals differently based on age, gender, ethnicity, and culture, ultimately shedding light on important issues of fairness and accountability in AI. Computer Vision Taha’s work in computer vision spans a range of advanced tasks, including image segmentation, classification, and object detection. His fascination with Large Vision Models and Foundation Models drives his ongoing research in the field. In addition to his contributions through a series of impactful publications, Taha is also supervising three PhD candidates, guiding them as they apply computer vision models to address real-world challenges. Through this combination of research and supervision, Taha is advancing the frontiers of computer vision and fostering innovative solutions to complex problems. AI for Good Taha is deeply passionate about leveraging AI for meaningful and impactful purposes, including advancing education and combating poverty. He firmly believes that AI holds immense potential to improve lives and drive positive change when applied thoughtfully. Through his work, he strives to harness the transformative power of AI to address pressing global challenges and create a better future for all. |
| Teaching and Learning | Taha has led the following modules: Data Structures and Algorithms (DSA): Providing a strong foundation in computational thinking and problem-solving techniques. Machine Learning and Data Mining (MLDM): Equipping students with the skills to analyze large datasets and extract meaningful insights. He takes a leadership role, curriculum development, and delivering new modules, including: Big Data Tools and Techniques (BDTT) (MSc): Equipping students with the skills to handle and analyze large and complex datasets. Principles and Design of IoT Systems (PDIoT) (MSc): Providing students with the knowledge to design and develop Internet of Things (IoT) systems, in particular Computer Vision and Remote Sensing. Taha is a Fellow of the Higher Education Academy (FHEA) and actively engages in professional development. |
| Scopus Author ID | 25958222000 |
| PhD Supervision Availability | Yes |
| PhD Topics | My research focus is on AI, particularly in Computer Vision, LLMs, and broader Multimodal Large AI Models. I'm passionate about exploring how AI can be applied to real-world problems and how it can be ethical. At present, I am supervising the following PhD students and postdocs. Feel free to contact them for information about the supervision process or any other informal inquiries: PhD Students: 1. Thomas Bolton - t.j.e.bolton@edu.salford.ac.uk - iPhD topic in Computer Vision 2. Elham Albaroudi - e.o.albaroudi@edu.salford.ac.uk - PhD topic in AI fairness 3. Mansour Abdulrahman - m.m.abdulrahman1@edu.salford.ac.uk - PhD topic in AI in building information modeling 4. Kumail Abbas – k.abbas6@edu.salford.ac.uk - PhD project in collaboration with Chulalongkorn University, Thailand, and the University of Bristol, UK, focusing on machine vision for detecting cow feeding behaviour. 5. Bushra Hassan - b.hassan5@edu.salford.ac.uk - PhD topic in computer vision in medical imaging RAs: 1. Manzar Malik - m.i.malik2@salford.ac.uk 2. Zeeshan Afzal - Z.Afzal2@edu.salford.ac.uk 3. Hamid Kouhpeimay Jahromi - KouhpeimayJahromi1@salford.ac.uk |