Yogang Singh

Academic profile

Dr Yogang Singh

Lecturer in Maritime Technology
School of Engineering, Computing and Mathematics (Faculty of Science and Engineering)

The Global Goals

In 2015, UN member states agreed to 17 global to end poverty, protect the planet and ensure prosperity for all. Yogang's work contributes towards the following SDG(s):

Goal 09: SDG 9 - Industry, Innovation, and Infrastructure

About Yogang

My research focuses on Marine Robotics and Autonomous Marine Systems, with particular emphasis on AI-enabled guidance, navigation and control, intelligent decision-making, digital twins, and autonomous sensing. I am interested in developing the theoretical and computational foundations of autonomy and translating these into experimentally validated robotic systems. My research spans modelling and simulation, control and AI algorithms, digital-twin environments, hardware-in-the-loop testing, and field validation using autonomous surface and underwater vehicles.

A key theme of my work is bridging the gap between theory and real-world autonomy, developing methods that can operate reliably in uncertain, dynamic and poorly structured marine environments. I am particularly interested in autonomous environmental monitoring, multi-vehicle coordination, edge intelligence, and safe and trustworthy autonomy.

Prior to joining the Â鶹´«Ã½Ó³»­, Dr Singh served as aÌýSenior Lecturer (Assistant Professor) in Automation, Control and Systems EngineeringÌýat Sheffield Hallam University, where he led teaching in robotics, automation, and advanced control systems. During his time at Sheffield Hallam, he was awarded anÌýEarly Career Research and Innovation Fellowship (2025–26)Ìýin recognition of his research excellence and innovation.
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Dr Singh has conducted graduate and postdoctoral research spanning both fundamental and applied engineering at leading international institutions, includingÌýPurdue University (USA),ÌýKU Leuven and Ghent University (Belgium), theÌýÂ鶹´«Ã½Ó³»­ (UK), and theÌýIndian Institute of Technology Madras (India). His research has encompassed maritime autonomous navigation, path planning, multi-robot systems, vessel manoeuvring, maritime logistics, Industry 4.0, and marine robotics. He has received several prestigious awards, including theÌýCommonwealth Doctoral Scholarship, theÌýIEEE Oceanic Engineering Society Best Student Poster Award, theÌýÂ鶹´«Ã½Ó³»­ Doctoral School Award, and theÌýIEEE OES/MTS Student Travel Grant.
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Alongside his academic role, Dr Singh actively contributes to the wider engineering and maritime research communities. He serves as aÌýBoard Member of the Marine Facilities Advisory BoardÌýat the National Oceanography Centre and is anÌýExternal ExaminerÌýfor engineering programmes at Liverpool John Moores University and BPP University. He is theÌýPublication Chair and Technical Co-ChairÌýof the IEEE/OES Autonomous Underwater Vehicles (AUV) 2026 Conference, anÌýAssociate EditorÌýfor the IEEE Journal of Oceanic Engineering Special Issue on AUV 2026, and aÌýTechnical Program Committee MemberÌýfor the IMarEST International Naval Engineering Conference and Exhibition (INEC/iSCSS 2026).
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Dr Singh has accumulatedÌýover 3,000 hours of university teachingÌýacross undergraduate and postgraduate programmes and is aÌýFellow of the UK Higher Education Academy (FHEA). He supervises PhD and MSc research in autonomous maritime systems, marine robotics, control engineering, artificial intelligence, and system identification, and welcomes enquiries from prospective postgraduate researchers interested in these areas.

Contact Yogang

Third Floor, Marine Building, Drake Circus, Â鶹´«Ã½Ó³»­, PL4 8AA