Plenary Speakers

Timothy C. Bell, University of Canterbury [ORCID]

Short bio: Timothy C. Bell is a computer scientist and Professor at the Faculty of Engineering of the University of Canterbury, New Zealand. He received his Ph.D. in 1986 from the University of Canterbury, New Zealand. His research interests include computer science education, computer music, and text compression. His work has been published in various international journals and conferences, including IEEE Transactions on Information Theory, ACM Transactions on Computing Education, IEEE Transactions on Communications, and Software Practice and Experience. He is known for developing, together with Michael Fellows and Ian Witten, the Computer Science Unplugged project, a series of activities for teaching computer science and the underlying mathematics without the use of computers. Computer Science Unplugged was sponsored by Google in 2007. In 2018, Bell received the SIGCSE Award for his “Outstanding Contribution to Computer Science Education.” In 2024, he was appointed a Companion of the New Zealand Order of Merit for services to computer science education.

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Vanesa Guerrero Lozano, Universidad Carlos III de Madrid [ORCID]

Short bio: Vanesa Guerrero is an Associate Professor in the Department of Statistics at the Universidad Carlos III de Madrid. She obtained her Ph.D. in Mathematics from the Universidad de Sevilla in 2017. Her research lies at the intersection of operations research, statistics, and machine learning, with a focus on integrating mathematical optimization techniques into data analysis models, particularly to enhance interpretability and incorporate desirable structural properties. She has co-authored numerous papers published in renowned journals (e.g. Mathematical Programming, European Journal of Operational Research, or Journal of Multivariate Analysis, among others) with an extensive international network of collaborators. Her work has been recognized with multiple awards, including the L’Oréal–UNESCO For Women in Science Award, the Vicent Caselles Prize of the Real Sociedad Matemática Española (RSME), and the Ramiro Melendreras Prize of the Sociedad de Estadística, Investigación Operativa y Ciencia de Datos (SEIO), among others. She is actively engaged in the organization of scientific events and in science outreach initiatives, promoting STEM education and public engagement with data science.

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Neeldhara Misra, Indian Institute of Technology, Gandhinagar [ORCID]

Short bio: Neeldhara Misra is a computer scientist and Associate Professor in the Department of Computer Science and Engineering at the Indian Institute of Technology Gandhinagar, India. She received her Ph.D. in Theoretical Computer Science in 2012 from the Institute for Mathematical Sciences. Her research interests are the interplay of structural graph theory and graph algorithms, parameterized complexity, computational perspectives on combinatorial games, voting mechanisms, and fair allocations of resources. Her work has been published in leading international conferences such as SODA, AAAI, and AAMAS. She is also known for her contributions to computer science education and outreach, particularly through initiatives that promote computational thinking and accessible learning.

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