The Global Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. Mohammed's work contributes towards the following SDG(s):
About Mohammed
Welcome to prospective PhD and Postdoc candidates! I am excited to host researchers for short stays under my supervision. I especially welcome fellows from programs like Marie Curie. I am an assistant professor (Lecturer) at the University of Plymouth. I worked as a Senior Postdoctoral Research Associate at the Personal Robotics Lab (PRL) at Imperial College London (ICL). My academic journey includes the attainment of a Ph.D. in Automatic Control, Robotics, and Computer Vision from the Institute of Industrial and Control Engineering (IOC) at Universitat Politècnica de Catalunya (UPC). My research endeavors center on task and motion planning, intelligent perception, knowledge representation, neuro-symbolic reasoning, human-robot interaction, collaborative efforts between robots, transfer learning across diverse contexts, as well as the interpretation and recovery mechanisms for failure detection. As an Open Source Product Manager of the "Autonomous Robots" subgroup within the IEEE WG ORA, I contribute to the standardization of ontologies for robotics and automation. Presently, I'm engaged in the SemIoP Expert group, utilizing ontologies in IoT applications.Furthermore, I broaden my research scope to include various domains. As a consultant, I take the lead in a team dedicated to exploring the RAG system and Generative AI, particularly specializing in the healthcare and financial sectors. My research interest includes:
- Knowledge representation/ graph and automatic reasoning using Ontologies
- Cognitive architectures for robotics
- Robot manipulation planning
- Artificial intelligence in robotics
- Human-robot interactions
- Robot-robot collaborations
- Natural language processing (NLP) + LLMs and their application in autonomous systems and HRI
- Neuro-symbolic reasoning
- Retrieval Augmented Generation (RAG) with its application in HRI
- Automatic decision making
Teaching
Robotics and Artificial Intelligence
