School of Computer Science

Honorary appointments

Honorary Professors

 

Brown

Professor Barry Brown

Barry Brown is a professor at Stockholm University, where he helps to run the STIR research group. His two most recent books have been published by Sage and MIT Press, focusing on how to research the use of digital technology, and the study and design of leisure technologies. Barry previously worked as the research director of the Mobile Life research centre (2011-2017), and as an associate professor in the Department of Communication at UCSD (2007-2011). He has published over 100 papers in human computer interaction and social science forums, along with five ACM best paper nominations (CHI, CSCW, Ubicomp), one ACM best paper award (CHI) and a recent 10-year impact award from the Ubicomp conference. In terms of research funding he has received over $8 million (75 million SEK) in research funding from the UK research councils, NSF, and European and Swedish Funding agencies. His research has also been covered in the international press including the Guardian, Time, New York Times, Sydney Morning Herald, Voice of America and Fortune Magazine.

 
Bustince

Professor Humberto Bustince

Humberto Bustince Sola is a full professor of Computer Science and Artificial Intelligence at the Public University of Navarra. He is the main researcher of the Research Group on Artificial Intelligence and Approximate Reasoning, whose research lines are both theoretical (data fusion functions, information and comparison measures, fuzzy sets and their extensions) and applied (Deep learning, image processing, classification, machine learning, data mining, big data or the computational brain). He has led more than 15 research projects funded by national and regional governments, and two excellence networks on soft computing. He has been the main researcher in projects with companies and entities such as Caja de Ahorros de Navarra, INCITA, Gamesa Tracasa or the Servicio Navarro de Salud. He has taken part in two international projects.  He has authored or coauthored more than 300 works, according to Web of Science, including around 120 in Q1 journals. He was a highly cited researcher among the top 1%most relevant scientists in the world in 2018, according to Clarivate Analytics.  He collaborates with first line research groups from countries such as United Kingdom, Belgium, Australia, the Czech Republic, Slovakia, Canada or Brazil. He is editor in chief of the Mathware&Soft Computing online magazine of the European Society of Fuzzy Logic and technologies and of the Axioms journal. Associated editor of the IEEE Transactions on Fuzzy Systems journal and member of the editorial boards of the journals Fuzzy Sets and Systems, Information Fusion, International Journal of Computational Intelligence Systems and Journal of Intelligent & Fuzzy Systems. Moreover, he is a coauthor of a book about averaging functions, and has been the co-editor of several books. He has been in charge of organising several first level international conferences such as EUROFUSE 2009 and AGOP 2013. He is Senior Member of  IEEE y Fellow of the International Fuzzy Systems Association (IFSA). Member of the Basque Academy of Sciences, Arts and Literature, Jakiunde, since 2018. He has advised 11 Ph.D thesis. He was awarded the Cross of Carlos III the Noble by The Government of Navarra in 2017. He got the National Computer Science Prize José García Santesmases in 2019 and the Scientific Excellence Award of EUSFLAT the same year.

 
Keller

Professor James Keller

James M. Keller is the Curators’ Distinguished Professor Emeritus in the Department of Electrical Engineering and Computer Science at the University of Missouri, and an honorary professor at the University of Nottingham. His research interests center on computational intelligence: fuzzy set theory and fuzzy logic, neural networks, and evolutionary computation with a focus on problems in computer vision, pattern recognition, and information fusion including bioinformatics, spatial reasoning in robotics, geospatial intelligence, sensor and information analysis in technology for eldercare, and land mine detection. His industrial and government funding sources include the Electronics and Space Corporation, Union Electric, Geo-Centers, National Science Foundation, the Administration on Aging, the National Institutes of Health, NASA/JSC, the Air Force Office of Scientific Research, the Army Research Office, the Office of Naval Research, the National Geospatial Intelligence Agency, the U.S. Army Engineer Research and Development Center, the Leonard Wood Institute, and the Army Night Vision and Electronic Sensors Directorate. He has coauthored over 500 technical publications.

Jim is a Life Fellow of the Institute of Electrical and Electronics Engineers (IEEE), a Fellow of the International Fuzzy Systems Association (IFSA) and a past President of the North American Fuzzy Information Processing Society (NAFIPS). He received the 2007 Fuzzy Systems Pioneer Award and the 2010 Meritorious Service Award from the IEEE Computational Intelligence Society (CIS). He won the 2021 IEEE Frank Rosenblatt Technical Field Award. He has been a distinguished lecturer for the IEEE CIS and the ACM. Keller finished a full six-year term as editor-in-chief of the IEEE Transactions on Fuzzy Systems, followed by being the vice president for publications of the IEEE Computational Intelligence Society from 2005-2008, then as an elected CIS Adcom member and is in another term as vice president for publications (2017-2020).

Jim joined IMA and LUCID as an honorary professor, contributing his extensive expertise on computational intelligence with applications ranging from robotics to elder care.

 
Kernighan

Professor Brian Kernighan

Brian Kernighan is a professor in the Computer Science Department at Princeton.

He is a co-creator of several programming languages, including AWK and AMPL, and of a number of tools for document preparation, and the author of more than a dozen books.  He is a member the National Academy of Engineering and the American Academy of Arts and Sciences.  His most recent book, "Unix: A History and a Memoir", was published in 2019.

His research areas include programming languages, tools and interfaces that make computers easier to use, often for non-specialist users.  His work in document preparation systems has involved collaboration with colleagues at Nottingham for nearly 40 years.

 
Liu

Dr Tie-Yan Liu

Tie-Yan Liu (刘铁岩) is an assistant managing director of Microsoft Research Asia, leading the machine learning research area. He is a fellow of the IEEE and a distinguished member of the ACM. He is an adjunct professor at Carnegie Mellon University (CMU), Tsinghua University (THU), Nankai University, and University of Science and Technology of China (USTC), and an honorary professor at the University of Nottingham.

Many of his technologies have been transferred to Microsoft’s products and online services, such as Bing, Microsoft Advertising, Windows, Xbox, and Azure.  He has also actively contributed to the academic community. His seminal contribution to the field of learning to rank has been widely recognised (https://en.wikipedia.org/wiki/Learning_to_rank). He invented several highly impactful algorithms and theories, including the listwise approach to ranking, relational ranking, and statistical learning theory for ranking. His wider research includes work on scalable and efficient machine learning, deep learning and reinforcement learning, and algorithmic game theory. 

 
Professor Linlin (Dylan) SHEN

Professor Linlin (Dylan) SHEN

Linlin (Dylan) SHEN received the BSc and MEng degrees from Shanghai JiaoTong University, Shanghai, China, and the Ph.D. degree from the University of Nottingham, Nottingham, UK. He was a Research Fellow with the University of Nottingham, working on MRI brain image processing. Prof. Shen is currently the “Pengcheng Scholar” Distinguished Professor at School of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China. He is also an Honorary professor at School of Computer Science, University of Nottingham, UK. He serves as the director of Computer Vision Institute, AI Research Center for Medical Image Analysis and Diagnosis and China-UK joint research lab for visual information processing. He also serves as the Co-Editor-in-Chief of the IET journal of Cognitive Computation and Systems.

He is listed as the Most Cited Chinese Researchers by Elsevier, and listed in a ranking of the top 2% of scientists in the world by Stanford University. He received the Most Cited Paper Award from the journal of Image and Vision Computing. His cell classification algorithms were the winners of the International Contest on Pattern Recognition Techniques for Indirect Immunofluorescence Images held by ICIP 2013 and ICPR 2016.

 
Simske

Professor Steve Simske

Steve Simske is a Professor of Systems Engineering at Colorado State University. Steve was at HP from 1994-2018, and was an HP Fellow, Vice President, and Director in HP Labs. He is the author of more than 450 publications and more than 200 US patents. He is an IS&T Fellow, and its immediate past President (2017-2019). Steve is the Steering Committee Chair for the ACM DocEng Symposium, which meets annually and benefits from University of Nottingham CS Professors Brailsford and Bagley being active leaders. Dr. Simske was a member of the World Economic Forum Global Agenda Councils from 2010-2016, including Illicit Trade, Illicit Economy and the Future of Electronics. In his 20+ years in industry, Steve directed teams in research on 3D printing, education, life sciences, sensing, authentication, packaging, analytics, imaging and manufacturing. His books “Meta-Algorithmics,” “Meta-Analytics,” and “Functional Applications of Text Analytics Systems” bring Computer Science patterns and principles to address intelligent (AI/ML) systems. At CSU, he has a cadre of on-campus students in Systems, Mechanical, and Biomedical Engineering, along with a larger contingent of on-line/remote graduate students researching in a wide variety of disciplines.

 
Tan

Professor Kay Chen Tan

Kay Chen Tan is currently a Chair Professor (Computational Intelligence) of the Department of Computing, the Hong Kong Polytechnic University. He has co-authored 7 books and published over 200 peer-reviewed journal articles. Prof. Tan holds one U.S. patent on surface defect detection, and another one is pending approval.

Prof. Tan is currently the Vice-President (Publications) of IEEE Computational Intelligence Society, USA. He has served as the Editor-in-Chief of IEEE Transactions on Evolutionary Computation from 2015-2020 (IF: 11.169) and IEEE Computational Intelligence Magazine from 2010-2013 (IF: 9.083). Prof. Tan currently serves as an Associate Editor of various international journals, such as IEEE Transactions on Artificial Intelligence, IEEE Transactions on Cybernetics, and IEEE Transactions on Games.

Prof. Tan has been invited as a Plenary/Keynote speaker for over 80 international conferences, including the 2020 IEEE World Congress on Computational Intelligence, the 2016 IEEE Symposium Series on Computational Intelligence, etc. He has served as an organising committee Chair/Co-Chair for over 50 international conferences, including the General Co-Chair of 2019 IEEE Congress on Evolutionary Computation, and the General Co-Chair of 2016 IEEE World Congress on Computational Intelligence, etc.

Prof. Tan has received a number of research awards, such as the 2020 IEEE Transactions on Cybernetics Outstanding Paper Awards, the 2019 IEEE Computational Intelligence Magazine Outstanding Paper Awards, the 2016 IEEE Transactions on Neural Networks and Learning Systems Outstanding Paper Awards, the 2012 Outstanding Early Career Award presented by the IEEE Computational Intelligence Society, and the 2008 Recognition Award given by the International Network for Engineering Education & Research.

Prof. Tan is an IEEE Fellow, an IEEE Distinguished Lecturer Program (DLP) speaker since 2012, and an Honorary Professor at University of Nottingham in UK since 2020. Prof. Tan is also the Chief Co-Editor of Springer Book Series on Machine Learning: Foundations, Methodologies, and Applications launched in 2020.

 
Treloar

Dr Robert Treloar

Robert Treloar is a senior research scientist within the Digital Research and Development Group at Unilever PLC a large consumer packaged goods company.

After joining Unilever in 1992, initially with a background in theoretical physics, he has spent the last 28 years applying computational methods to a wide range of business challenges. During that time he has benefited from and been challenged by multiple waves of technology innovation, from the emergence of data visualisation and VR and developments, through many incarnations of machine learning and AI with allied developments in sensor science and communications tech to the digitally connected world of today.

Over that time his interests have become very much focused on the intersection of these technologies with the consumer -  from using to understand behaviour and product use in life and building perceptually relevant models of human sensing through digital interaction to the opportunities for consumer facing product technologies.

Robert currently works with the business and external partners on a range of projects at the interface of AI, optimisation, personalisation and digital product technologies.  Some particular interests include learning from data /sensing in uncontrolled environments, hybrid products, exploiting prior knowledge in data poor environments and the explainable AI, trust and privacy agenda, and he leads Unilever’s interaction with the Horizon Digital Economy Institute and associated Doctoral Training Centre.

 
twidale

Professor Michael Twidale

Michael Twidale is a Professor in the School of Information Sciences, University of Illinois at Urbana-Champaign, and is the director of the PhD Program. His research interests are at the intersection of computer supported cooperative work, computer supported collaborative learning, human computer interaction, and sociotechnical systems design.

Current projects include studies of informal social learning of technology, ubiquitous learning, the intersection of search, learning and creativity, data quality, designing data for the very long term, museum informatics, and agile research methods. He is interested in how people learn technologies, how they succeed, fail, struggle, tinker, innovate, appropriate, help their friends and try to search for solutions online.

 

Honorary Associate Professors

 

Amr Amhed

Amr Ahmed 

Amr Ahmed has been an Associate Professor and the Head of School of Computer Science in Nottingham Malaysia (2018-2021).

His research interests and expertise are in the area of AI in Computer Vision and Image/Video Analysis, with particular focus on Medical Image/Video Analysis and Health Applications as well as the AgriFood Technology. He has been collaborating (and still leading collaborations) with key partners, such as "Cancer Research Malaysia (CRMY)" and "Crops for Future (CFF)" research centre in Malaysia. He is a member of the "Malaysia AI Consortium" and the "Academy Science Malaysia (ASM)" special interest group in AI and Machine Learning.

Amr has been invited as "Keynote speaker" in a couple of conferences and delivered invited talks and guest lectures at various institutions, including Tsinghua University and the Chinese Academy (Institute of Automation), Bejing, China.  He reviewed grant applications for UK funding bodies, e.g. EPSRC and Leverhulme Trust. He also joined the "Nottingham Research Leaders" program (NRLP) in 2019.

He held several research and academic positions in various other UK universities (including Surrey and Lincoln). He also worked in the industry for several years, including in Sharp Labs of Europe (SLE), Oxford (UK), as a Research Scientist, and other Engineering Consultants companies abroad.

 
Christian Greiffenhagen

Christian Greiffenhagen 

Christian Greiffenhagen is Associate Professor at the Department of Sociology, The Chinese University of Hong Kong, where he leads the Video Analysis, Science & Technology (VAST) Research Group, which develops video-based methodologies to study the impact of scientific and technological developments on people’s lives. His primary research areas in Science & Technology Studies (STS) and Human-Computer Interaction (HCI). Current research projects include “The Practice of Peer Review in Mathematics” (GRF 14600218), which investigates how the organization of peer review in pure mathematics reflects its disciplinary specificity and “Intimacy at a Distance: A Video-based Study of Video Calls between Migrant Workers and their Left-behind Children in China” (GRF 14602619), which studies the role of video calls in facilitating intimacy in multi-local families.

Christian has a long-standing with the School of Computer Science through his links with the Horizon Digital Economy Research Institute and the Mixed-Reality Laboratory. He was a Research Fellow at Horizon in 2012, where he worked on the EPSRC “PAWS: Public Access Wi-Fi Service” project. Subsequently, he was Co-Investigator with Stuart Reeves on the “Behind the Cameras” project, which led to the CHI 2015 paper “I'd Hide You: Performing Live Broadcasting in Public”, which won an Honourable Mention Award. More recently, he again worked with Stuart Reeves on the CHI2020 paper “Connecting Distributed Families: Camera Work for Three-party Mobile Video Calls”, which won a Best Paper Award.

 

 

School of Computer Science

University of Nottingham
Jubilee Campus
Wollaton Road
Nottingham, NG8 1BB

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