Find Academic Supervisors

• Computational Geometry
• Algorithm Design and Analysis
• VLSI Computer-Aided Design
• +3 more

Evanthia Papadopoulou is a Full Professor of Computer Science at the University of Lugano (Università della Svizzera italiana) since 2016. Previously, she was an Associate Professor at USI (2008–2016), a Research Staff Member at IBM T.J. Watson Research Center (1996–2008), and an Assistant Professor at Athens University of Economics and Business (2004–2008). She holds a BS in Mathematics from the University of Athens, an MS in Computer Science from the University of Illinois at Chicago, and a PhD in Computer Science from Northwestern University (1995). Her research focuses on computational geometry, algorithm design, and their applications in VLSI CAD and geometric computing. Key areas include Voronoi diagrams, proximity algorithms, triangulations, and geometric optimization. She has received the IBM Outstanding Innovation Award (2006) and the Technical Accomplishment for IBM Research (2006) for her work on VLSI critical area analysis using Voronoi diagrams. As part of the Dalle Molle Institute for Artificial Intelligence (IDSIA USI-SUPSI), her work integrates theoretical and applied aspects of computational geometry. Her contributions span algorithmic frameworks, geometric data structures, and practical applications in VLSI layout analysis and manufacturing. Her recent research emphasizes high-order Voronoi diagrams, subdivision methods for geometric optimization, and certified approximation algorithms. These advancements address challenges in geometric computing, such as farthest-color Voronoi diagrams and dynamic geometric problems.

Eugene FiumeView profile

Professor

• Computer Graphics
• Animation
• Fluid Simulation
• +3 more

Eugene Fiume is a Professor and Dean of the Faculty of Applied Sciences at Simon Fraser University (SFU). He holds a Ph.D. in Computer Science from the University of Toronto (1986), an M.Sc. from the same institution (1982), and a B.Math (Hons.) in Computer Science from the University of Waterloo (1981). His research focuses on computer graphics, animation techniques, and educational applications of technology. He leads the Tangent Lab, exploring advanced topics in fluid simulation, facial animation, and physics-based motion retargeting. His work spans interdisciplinary areas, including fluid dynamics, mesh processing, and game development. Notable contributions include VEMPIC (particle-based fluid simulation), animator-centric tools like Jali for lip synchronization, and vocal animation frameworks for expressive speech. He has held leadership roles in academic administration and has contributed to industry-research collaborations through his deanship. Publications emphasize innovation in animation systems, real-time rendering, and procedural modeling. His research has been applied in gaming (e.g., Cyberpunk 2077 facial animations) and medical imaging, reflecting a blend of theoretical and applied computer science.

Gary SimpsonView profile

Senior Lecturer

• Data Envelopment Analysis
• Performance Measurement
• Higher Education Management
• +4 more

Gary Simpson is a Senior Lecturer at Aston Business School, part of the College of Business and Social Sciences at Aston University. He specializes in Operations and Service Management, with a focus on Data Envelopment Analysis (DEA), performance measurement, and educational technology innovation. Education: Doctor of Philosophy (1996), University of Salford Certificate in Education (1996), University of Central England BSc Joint Honours in Science (Mathematics & Computer Science, 1987), University of Salford Research interests include: DEA applications in education and business analytics Spreadsheet model development and validation Technology integration in higher education (e.g., gamification, VLEs) Educational policy evaluation through quantitative methods His publications span DEA methodologies, FDI impacts, and education policy, with a focus on nonparametric techniques and efficiency analysis. Notable work includes comparative studies on school performance and gender-based GCSE outcomes. Awards: Fellow of the Higher Education Academy Administrative roles include Associate Dean for Learning and Teaching at Aston Business School, and membership in the Operational Research Society. He has supervised 3 academic works and contributed to educational technology initiatives like lecture capture systems and gamification research.

Ragni PieneView profile

Professor

• Algebraic geometry
• Enumerative geometry
• Intersection theory
• +5 more

Ragni Piene is a Professor at the University of Oslo, affiliated with the Faculty of Mathematics and Natural Sciences. Her career spans decades of contributions to algebraic geometry and related fields. Education: Ph.D. from MIT (1976), M.Sc. and D.E.A. from the University of Oslo and Université de Paris (Orsay). Visiting Positions: Held at Institut Mittag-Lefler, MSRI Berkeley, École Normale Supérieure Paris, Harvard University, Université Grenoble, IHES Paris, Ecole Polytechnique Paris, and MIT. Research Interests: Focus on algebraic geometry, particularly enumerative geometry and intersection theory, singularity theory, moduli spaces, Hilbert schemes, toric varieties, and algebraic methods in computer-aided geometric design. Scientific Leadership & Awards: Chair of the Abel Committee (2010–2014), Fellow of the American Mathematical Society (2012), and memberships in prestigious academies including Academia Europaea (2012) and the Norwegian Academy of Science and Letters (1994). Committee Roles: Extensive service on international boards like the Executive Committee of IMU (2003–2010), Scientific Advisory Board of RICAM (2012–), Orientation Council of INSMI (2011–), and editorial boards of Communications in Algebra and Astérisque .

Elena Ivanova Zaharieva-StoyanovaView profile

Associate Professor

• Computer-Aided Design (CAD)
• Image Processing
• Knitting Industry Automation
• +5 more

Elena Ivanova Zaharieva-Stoyanova is an Associate Professor at the Technical University of Gabrovo, Bulgaria, specializing in Computer Systems and Technologies. She holds a Doctorate in Automated Design Systems in Knitwear Production (1999) and was appointed Associate Professor in 2005. Her academic career spans over 25 years at the Technical University of Gabrovo, progressing from Assistant to her current position. Dr. Zaharieva-Stoyanova's research focuses on the intersection of computer science and traditional textile arts, particularly developing CAD/CAM systems for knitting and crochet industries. Her work bridges software engineering with cultural heritage preservation, creating digital representations of traditional costumes and developing specialized XML-based languages for craft pattern description. She teaches Object-Oriented Programming and Introduction to Programming at the bachelor's level, and Platform-Independent Programming at the master's level. Her publication record shows a clear progression from foundational CAD system development to sophisticated digital representation of traditional crafts. The most recent articles demonstrate her specialization in XML-based languages for knitting and crochet symbols, color stitch representation, and validation modules for traditional costume digitization. This research trajectory reflects a deep commitment to preserving cultural heritage through technological innovation. Dr. Zaharieva-Stoyanova has participated in numerous scientific projects funded by the Scientific Research Fund from 2001-2017, covering image processing in CAD systems, digital data transmission, and most recently, cloud-based medication monitoring systems. She is a member of both the Union of Scientists in Bulgaria and the Union of Automation and Informatics. Fluent in English and Russian with excellent reading and very good writing and speaking skills in both languages, she has conducted specializations in the Czech Republic and Croatia under the CEEPUS project. Her international collaborations are evident in her publications presented at conferences across Europe including Bulgaria, Serbia, Macedonia, Greece, Spain, Austria, Romania, and Ireland.

Isabel ProençaView profile

Associate Professor

• Econometrics
• Microeconometrics
• Spatial Econometrics
• +6 more

Isabel Proença is an Associate Professor with Aggregation in Econometrics at ISEG – Lisbon School of Economics and Management, Universidade de Lisboa. She holds a PhD in Economics from Université Catholique de Louvain (1995) and an Agregação in Mathematics Applied to Economics and Management (MAEG) from Universidade de Lisboa (2014). Her academic career spans over three decades, with roles including Coordinator of the Scientific Area of Econometrics, President of CEMAPRE, and member of various academic committees. Her research focuses on microeconometrics, spatial econometrics, panel data analysis, and semiparametric methods, with applications to labor economics, gender disparities, international trade, and regional development. Notable projects include work on the spatial distribution of FDI spillovers in Portugal and the gender pay gap’s impact on income and poverty. She has supervised over 40 master’s and 2 PhD students. Proença has published extensively in journals like *Applied Economics*, *Computational Statistics*, and *Empirical Economics*. Her recent work addresses topics such as the effects of eliminating the gender pay gap and the evaluation of spatial econometric models in precision agriculture. She is actively involved in projects funded by Horizon2020 and FCT, focusing on gender equity in research and regional economic accessibility. In teaching, she instructs econometrics courses across undergraduate, master’s, and doctoral programs. Her professional service includes roles on the ISEG School Board and leadership in research units like CEMAPRE.

Fredrik GeorgssonView profile

Senior Lecturer

• Medical Image Processing
• Computer Aided Mammography
• Fractal Analysis
• +3 more

Fredrik Georgsson is a Senior Lecturer and Program Director at the Department of Computing Science, Umeå University. His roles include teaching, research leadership, and academic administration. He holds a PhD in Computing Science (2001) and has been at Umeå University since 1996, progressing from PhD student to his current Senior Lecturer position. Education: PhD in Computing Science, Umeå University (2001) Licentiate of Philosophy, Umeå University (1999) MSc in Computing Science and Engineering, Umeå University (1996) Research Interests: Medical Image Processing (e.g., mammography, tumor analysis) Fractal analysis of medical images Autonomous vehicle systems Pattern recognition and computer vision Teaching & Advising: Responsible for courses like Medical Image Processing and Computational Intelligence Supervised over 15 Master's and PhD students in medical imaging and related fields Developed curricula for advanced medical image analysis courses Grants & Projects: Lead developer of autonomous forest machinery path-tracking systems Recipient of multiple research grants for medical imaging projects Labs & Teams: Principal investigator in the Medical Imaging Analysis Lab and Autonomous Systems Group at Umeå University.

Jelmer WolterinkView profile

Assistant Professor

• Machine Learning
• Medical Image Analysis
• Deep Learning
• +7 more

Dr. Jelmer Wolterink is an Assistant Professor in the Department of Systems, Analysis and Computational Science (SACS) within the Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) at the University of Twente. He is a member of the Mathematics of Imaging & AI (MIA) group and contributes to the Digital Society Institute and TechMed Centre. His research bridges artificial intelligence and medical imaging, with a strong focus on cardiovascular disease analysis. His educational background includes a Master's in Artificial Intelligence from Radboud University and a second Master's in Mathematical Sciences and Scientific Computing from Utrecht University. He earned his PhD in 2017 from Utrecht University (UMC Utrecht) on machine learning for coronary artery calcification analysis. Dr. Wolterink's research interests lie in machine learning for medical image analysis , particularly deep learning , generative models , and geometric deep learning . His work aims to extract more information from medical images (CT, MRI, ultrasound) to improve diagnosis and enable personalized treatment in conditions like abdominal aortic aneurysm. He develops AI methods to predict aneurysm growth and rupture risk beyond simple diameter measurements, using biomechanical and morphological features. He has secured significant research funding, including an NWO Veni grant and multiple project grants, and is part of the 4TU Precision Medicine program. His work enables better use of existing clinical images for secondary analysis, such as detecting aortic data in gallstone CT scans. NWO Veni Grant (2020) – €250,000 TURBO Program Grant – €80,000 Pioneers in Health Care Grant – €60,000 Dr. Wolterink teaches the course Deep Learning for Medical Imaging Analysis in the Applied Mathematics master’s track Artificial Intelligence for Health . He supervises Technical Medicine students on internships at hospitals, focusing on AI applications in vascular surgery, orthopedics, and gastroenterology. These collaborations foster innovation and clinical partnerships. He is actively involved in research teams within the MIA group and the broader 4TU network, contributing to interdisciplinary efforts in precision medicine and AI-driven healthcare transformation.

• Mathematical Analysis
• Calculus of Variations
• Homogenization Theory
• +3 more

Giuliano Gargiulo is a Researcher in Mathematical Analysis (MAT/05) at the Department of Science and Technology (DST) of the University of Sannio, Italy. His academic career spans over two decades with numerous publications in mathematical analysis, particularly in calculus of variations, homogenization theory, and fracture mechanics. Dr. Gargiulo's research interests focus on: Calculus of Variations and Homogenization Theory Mathematical aspects of Fracture Mechanics SBD spaces and lower semicontinuity problems Dimension reduction for thin structures Applications to continuum mechanics and materials science His publication record shows consistent research output from 1995 to 2021, with recent work focusing on multiscale homogenization in Orlicz-Sobolev settings and dimension reduction problems. His research bridges pure mathematical analysis with applications in materials science and physics, including studies on Josephson junctions and educational tools for differential equations. Dr. Gargiulo has collaborated with researchers across multiple institutions, with international publications spanning Europe, Asia, and the Americas. His work appears in reputable mathematical journals covering analysis, partial differential equations, and applied mathematics.

• Games Design
• Interactive Storytelling
• Virtual Reality
• +4 more

Dr. Huiwen Zhao is a Senior Lecturer in Games Design at Bournemouth University , with a focus on interactive storytelling, virtual reality (VR), and mass customization. Her work bridges user experience (UX) research with practical game design and VR applications. Contact: hzhao@bournemouth.ac.uk Education: PhD in Emotion-driven Interactive Storytelling (China Scholarship Council, 2012) Research Interests: Dr. Zhao’s research centers on creating immersive, emotion-aware digital experiences through games design and VR. Her work explores consumer behavior in mass customization, affective storytelling techniques, and innovative applications of VR for education and training. She also investigates how digital narratives can be optimized for user engagement and educational impact. Grants & Projects: She has led or contributed to projects funded by the EU Horizon 2020 MSCA, National Social Science Foundation of China, and Bournemouth University’s Centre for Excellence in Media Practice. Topics include affective storytelling, VR training simulators, and interactive video design. Collaborations: Dr. Zhao collaborates with researchers like Dr. L. McLoughlin, Prof. A. Pasko, and Dr. V. Hulusic. She co-developed the StoryPlaces Authoring Tool for locative storytelling and has published extensively on emotion-driven design and 3D customization toolkits.

Lindsey KuperView profile

Assistant Professor

• programming languages
• distributed computing
• concurrency
• +5 more

Lindsey Kuper is an Assistant Professor in the Computer Science and Engineering Department at the Baskin School of Engineering, University of California, Santa Cruz. Her research focuses on programming languages, distributed systems, concurrency, parallelism, and software verification. Ph.D., Indiana University (2015) Research interests include: Programming-language-based approaches for concurrent/distributed systems Library-level choreographic programming (Haskell, Rust, TypeScript) Dependently-typed diagrams for inductive reasoning Causal message delivery with refinement types Key research projects: 2025: KameraBag (Kubernetes observability) 2024: Sender-side causal message protocol 2023: HasChor (Haskell choreographic programming) 2022: Liquid Haskell causal broadcast verification Scientific awards: NSF CAREER Award Stellar Development Foundation Grant Google Faculty Research Award Amazon Web Services gift Zulip in-kind sponsorship Teaching history includes courses on: Foundations of Programming Languages (CSE114A) Distributed Systems (CSE232/CSE138) SMT Solving and Solver-Aided Systems Programming Abstractions (Python) Service contributions: Co-founded !!Con and !!Con West Chaired: Choreographic Programming 2024, PLMW workshops, DSLDI, OBT ICFP/OOPSLA/PLDI program committee member Research group: CASL Group (Concurrency and Safety Lab) Languages, Systems, and Data (LSD) Lab Current members: 6 PhD students

Jacek CichoszView profile

Researcher

• System Identification
• Biomedical Engineering
• Signal Processing
• +3 more

Jacek Cichosz is an academic researcher affiliated with the Faculty of Information and Communication Technology at Wrocław University of Science and Technology , specializing in the Department of Systems and Computer Networks . Holding a PhD, he focuses on system identification, biomedical engineering, and signal processing applications. University: Wrocław University of Science and Technology School: Faculty of Information and Communication Technology Department: Department of Systems and Computer Networks His research spans system identification , medical imaging analysis , and fuzzy logic applications in diagnostics , particularly for laryngeal pathology and ECG interpretation. He has developed educational tools like the CARDIO system and contributed to computer-aided diagnosis frameworks. Recent publications highlight trends in recursive identification , image analysis , and fuzzy rule-based diagnostic systems , with interdisciplinary applications in healthcare and computer science. Keywords include system identification , medical imaging , and biomedical signal processing . Contact: jacek.cichosz@pwr.edu.pl

Congyi ZhangView profile

Research Fellow

• Computer Science
• Neural Shape Representation
• 3D Reconstruction
• +3 more

Congyi Zhang is a postdoctoral research and teaching fellow in the Department of Computer Science at the University of British Columbia. He earned his Ph.D. in Computer Science from Peking University and a B.Sc. in Mathematics from Fudan University. Prior to his current role, he served as a research associate at the Department of Computer Science, Hong Kong University, and as a visiting researcher at the Max Planck Institute for Informatics. His research focuses on neural shape representation, AI-driven 3D content generation, human-computer interaction, and 3D reconstruction techniques. He has contributed to methods that improve geometric accuracy, optimize sampling strategies, and enable efficient local editing of 3D models. Recent publications highlight advancements in neural implicit fields, multiview diffusion models, and efficient 3D mesh creation from 2D inputs. His work balances theoretical innovation with practical applications in digital media, orthodontics, and archaeology. He is currently transitioning to an Assistant Professor position at the Computer Science Department, University of Texas at Dallas, where he seeks motivated Ph.D. students for Spring/Fall 2026 cohorts.

• Computer Vision
• Robotics
• Image Processing
• +3 more

ROI SANTOS MATEOS is an Assistant Professor at the University of Santiago de Compostela, affiliated with the Department of Electronics and Computing under the Higher Technical School of Engineering. His research group focuses on Artificial Vision, with expertise in computer vision, robotics, and 3D reconstruction. He completed his doctoral studies at the University of Santiago de Compostela in 2019, with a thesis titled 'From line matching to 3D abstraction,' supervised by Dr. Xosé Manuel Pardo López and Dr. José Ramón Fernández Vidal. His research emphasizes scene wireframe sketching for unmanned aerial vehicles, outlier detection in line matching, and adaptive algorithms for low-textured images. Key themes in his work include unmanned systems navigation, 3D modeling, and robust feature matching in challenging imaging conditions. Publications highlight contributions to drone vision systems, autonomous navigation, and computer vision applications in art authentication. No scientific awards or grants are explicitly mentioned in the provided text. He advises no listed students and has no mentioned labs or teams beyond his affiliation with the Artificial Vision research group.

Henrik StigbergView profile

Assistant Professor

• Mathematics Education
• Digital Fabrication in Education
• Teacher Training
• +3 more

Henrik Stigberg is an Assistant Professor at Østfold University College, affiliated with the Department of Natural Sciences, Practical-Aesthetic, Social and Religious Studies. His research focuses on mathematics education, digital fabrication, and integrating technology into teaching. He holds a Master's degree in Mathematics and Physics from Linköping University, Sweden. Education: Teacher Education at Linköping University (2004-2009) Work Experience: Østfold University College (2018–present), Strömstad schools (2009–2018), and national educational initiatives like 'Matematiklyftet' (2013–2015) Research Interests: Digital fabrication for mathematics learning, programming integration in teacher education, and the use of manipulatives to enhance mathematical thinking. Current projects explore digital competences, making tools for mathematics, and programming in primary education. Publications emphasize critical reflections on educational technologies, teacher training strategies, and innovative teaching methods. Notable works include studies on digital fabrication's role in mathematics education and programming approaches for secondary teachers.