Dr. Cesar A. Marin is a Lecturer and a member of the Service Systems Research Group at Manchester Business School. His research is about the foundations and applications of adaptive systems, in particular, technological approaches based on, or inspired by, natural ecosystems. The domains where he has applied these approaches include manufacturing, supply chain, business ecosystems, Cloud-based service ecosystems, among others. He has coordinated the university's research contributions on a number of European Commission funded projects including ARUM (2012 - 2015), MODUM (2011 - 2014), TEOS, part of the Integrated Project BonFIRE (2010 - 2013), COMMIUS (2008 - 2011), and also contributed to the project SUDDEN (2006 - 2009).
Dr. Marin's background is on Computer Science focused on distributed artificial intelligence applied to dynamic business environments. He obtained a PhD in informatics from The University of Manchester, focused on adaptation to unexpected disturbances using a natural ecosystem model. He obtained both an MSc and a Diploma in Intelligent Systems, and a BSc in Computer Systems Engineering from the Monterrey Institute of Technology, in Monterrey, Mexico. Before joining The University of Manchester, Dr. Marin was a Research Assistant in the Centre for Intelligent Systems at the Monterrey Institute of Technology, where he worked in research areas such as decentralised agent-based workflow systems, information and knowledge distribution, and behavioural adaptive modelling.
Dr. Marin's research interests are focused on the foundations and applications of
- adaptive information systems,
- nature inspired approaches to automate businesses,
- knowledge modelling and representation
for supporting, improving, and automating processes within dynamic environment to ease human activities.
So far, his expertise is concentrated in the following areas and technologies:
- adaptive systems,
- distributed (multi-agent) systems,
- software (e.g. service) composition,
- smart manufacturing,
- systems modelling and simulation,
- software-based experimentation,
- business collaboration and interoperability,
- business ecosystems,
- knowledge and behaviour representation.
Are you interested in pursuing a PhD
If you are interested in pursuing a PhD (or want to be a visiting researcher as part of your PhD somewhere else) in any of the topics below or similar, I would be really interested to hear from you. Just drop me an e-mail describing your interests, ideas, or proposals.
- Adaptive systems: software systems more autonomous by design in such a way that at runtime they manage to overcome (unexpected) obstacles and continue operating in normal conditions.
- Behaviour representation and learning: approaches to represent, learn, and possibly predict behavioural patterns of individuals, businesses and/or collections of them. Posible applications include business interactions and (online) customer interactions.
- Smart manufacturing: models and software-based mechanisms that improve production, reduce costs and overcome production disturbances within a factory and/or across a supply chain.
- Business ecosystems: approaches that go beyond the typical strategic term used by large corporations for managing their supply chains; models and platforms that enable collections of businesses to perceive the business environment as a natural ecosystem thus helping them thrive.
- Emergency services: software tools and models for helping to coordinate and manage emergency services and/or (potential) victims in crisis scenarios.
- Robots as a Service: a relatively new model of service provision where robots can be (automatically) 'hired' for a specific purpose, for example, help the elderly, perform dangerous tasks, deliver parcels, etc.
If your interest is based on a particular technology or approach, here are the ones I'm mainly interested in (in no particular order): nature-inspired models, intelligent services, multi-agent systems, self-organisation, service compositions, Internet of Things, Cloud-based solutions, cyber-physical systems, mobile computing.