Find Academic Supervisors

Silvia MikschView profile

Professor

• Visualization & Visual Analytics
• Information Visualization
• Interaction Design
• +8 more

Silvia Miksch is a Full Professor of Visual Analytics at the Vienna University of Technology (TU Wien), leading the Research Unit Visual Analytics (E193-07) and coordinating the Research Focus on Visual Computing and Human-Centered Technology. She holds a PhD from TU Wien and has held academic roles at institutions like Stanford University (FWF postdoc), Danube University Krems (2006–2010 as University Professor), and TU Wien. Her research focuses on visualization, visual analytics, interaction design, and temporal data analysis with applications in medical informatics, process engineering, and cultural heritage. Education: Master of Social and Economic Science (University of Vienna, 1987), PhD (TU Wien, 1990). Former roles include Chair of the Austrian Society for Artificial Intelligence (ÖGAI) and leadership in EU projects like VALCRI and KAVA-Time. She has authored over 200 publications and received awards such as the IEEE VGTC Visualization Technical Award (2023) and induction into the IEEE VGTC Visualization Academy (2020). Research interests include knowledge-assisted visual analytics, task-driven guidance systems, and spatiotemporal data exploration. She oversees the Laura Bassi Centre of Expertise 'CVAST' and advises numerous PhD and master’s students. Her work bridges theory and practice, with notable projects like the Marvel Cinematic Universe infographic (GD 2019 Best Creative Challenge) and Game of Thrones character networks (GD 2018 Third Prize). Key Awards: Best Paper Award at vis4dh 2019, IEEE VGTC Technical Award 2023 Editorial Roles: Associate Editor of Transactions on Visualization and Computer Graphics (2011–2015), Editorial Board of Journal of Biomedical Informatics (2012–2020) Leadership: Chair of EuroVis Steering Committee (2023–2027), Member of VIS Executive Committee (2015–2020)

Zhenyu CaiView profile

Research Fellow

• Quantum Error Correction
• Quantum Error Mitigation
• Quantum Computing
• +3 more

Dr. Zhenyu Cai is an EPSRC Quantum Technologies Fellow and Principal Investigator in the Department of Engineering Science at the University of Oxford. He previously held a Junior Research Fellowship in Physics at St John’s College (2020–2024). His research focuses on quantum error correction, error mitigation, and their hardware-adapted implementation for scalable quantum computing. He leads a £2.2M EPSRC Fellowship (with £500k industrial support) and contributes to £1.3M+ in additional grants. He is a lead inventor on four patents and actively collaborates with industry partners. Education: DPhil in Materials (Lincoln College, Oxford, 2017–2020), MSci & BA in Physics (Trinity College, Cambridge, 2013–2017). Teaching roles include Lecturer for 'Magnetic Properties of Materials' and Guest Lecturer for 'Introduction to Quantum Information' at Oxford's Mathematical Institute. Research Interests: Quantum Error Correction, Quantum Error Mitigation, Hardware Implementation, and Quantum Algorithms. He organizes the £3M RoaRQ Programme and the SEEQA conference, advancing UK quantum technologies. His work bridges theoretical innovation with practical hardware solutions, emphasizing noise-robust and resource-efficient pathways. Awards include the EPSRC Fellowship, Junior Research Fellowship, and scholarships from Singapore's Ministry of Education, Cambridge Overseas Trust, and Trinity College. His grants total over £4M, combining public and industrial funding. Patents and collaborations highlight his translational impact in quantum computing.

Alyse LancasterView profile

Associate Professor

• Public Service Advertising
• Advertising Effects
• Health Communication
• +5 more

Alyse Lancaster is an Associate Professor and Vice Dean for Academic Affairs at the University of Miami's School of Communication. She joined the university in 1999 with a Ph.D. in Mass Communication from the University of Florida. Her research focuses on targeted health messages, public service advertising, advertising effects, and branding strategies, with notable work on Taylor Swift’s brand management. She teaches courses in advertising and social media, including a specialized class on Taylor Swift’s branding tactics, which was featured in the Peacock documentary series “The Taylor Swift Effect.” Before becoming Vice Dean in 2023, Lancaster led the Department of Strategic Communication as Chair for 11 years and directed the Advertising Program for six years. She co-advised the University of Miami’s National Student Advertising Competition Team (2010–2014), which achieved two national victories and top placements. Her professional contributions include active membership in the American Academy of Advertising, where she currently chairs the Publications Committee. Her research spans public health communication, media effectiveness, and consumer behavior in magazines and digital platforms. Key studies include analyses of pharmaceutical advertising strategies, magazine ad exposure, and the impact of public service announcements on behavior change. Her work bridges academic research with practical applications in industry and education.

• Visual Communication
• User Experience
• E-Learning
• +36 more

Antonio Fernández Coca is a Full Professor at the University of the Balearic Islands (UIB) in the Department of Mathematics and Computer Science, specializing in Architectural Graphic Expression. With a career spanning over three decades, he has pioneered transmedia educational strategies, integrating podcasts, YouTube channels, and MOOC courses like “A dibujar se aprende dibujando” to modernize architectural drawing pedagogy. His research focuses on the convergence of technology and creativity, particularly in user experience (UX), visual communication, and digital transformation in higher education. He has led projects such as “The speaking landscape” and “Genius - Up! Multimodal Educational Video Game” , while advocating for generational language adaptation and collaborative learning models. Doctorate in Computer Science (UIB, 2003) European Master of Arts in Image Synthesis and Computer Animation (Middlesex University, 1991) Licenciatura in Fine Arts (University of Seville, 1989) His academic output includes 15 recent publications analyzing transmedia education, digital platforms, and architectural visualization. Notable awards include the 2013 Universia/Santander Universities Award for OpenCourseWare (OCW) innovation. Current projects involve inter-university collaborations (e.g., with Universitat Rovira i Virgili) and developing digital tools for architectural drawing. His philosophy emphasizes “connecting, transforming, and inspiring” through technology-driven, student-centric methodologies.

• Construction Management
• Building Information Modelling (BIM)
• Project Management
• +7 more

Naimah Muhammed-Yakubu is a Lecturer in Strategic Operations and Management at the Faculty of Business and Law, University of the West of England (UWE Bristol). She combines academic expertise with practical industry experience in Architecture, Project Management, Modern Methods of Construction (MMC), Building Information Modelling (BIM), and Big Data Analytics. Educational Background: PhD MTech PGCert LTHE (Postgraduate Certificate in Learning and Teaching in Higher Education) Professional Designations: FHEA (Fellow of the Higher Education Academy), ACIOB (Associate of the Chartered Institute of Building) Dr. Muhammed-Yakubu's research focuses on digital transformation in the construction industry through advanced technologies. Her work examines Building Information Modelling (BIM) integration with conversational AI and augmented reality for collaborative construction processes, computer vision and IoT for real-time site monitoring, and predictive analytics for infrastructure efficiency. She develops frameworks for embodied carbon prediction in infrastructure projects and investigates how edge computing can enhance construction management education. Her publications demonstrate a consistent research trajectory examining how digital technologies can optimize construction workflows, improve safety through behavior-based monitoring, and enhance sustainability in infrastructure development. The research spans practical applications of BIM, risk management frameworks, and data-driven approaches to resource allocation in construction projects. Professional Collaborations: Industry projects with Oyo State Government in Nigeria for sector-based feasibility research Joint research with Tecnológico de Monterrey, Mexico on Edge Computing applications in higher education Collaborations with industry partners on Transport and Infrastructure Efficiency Living Labs (TIES Living Labs) Dr. Muhammed-Yakubu leads the Strategic Operations Management (SOM) subject group, focusing on delivering exceptional learning experiences and curriculum development that integrates research findings with teaching practice. Her current research initiatives include Conversational BIM, CV-SMART (Computer Vision and IoT for personalized Site Monitoring Analytics in Real-Time), and ASPEC (AI System for Predicting Embodied Carbon).

Chris BayView profile

Researcher

• Wind Energy
• Control Algorithms
• Optimization
• +4 more

Chris Bay is a Researcher IV in Mechanical Engineering at the National Renewable Energy Laboratory (NREL) , specializing in wind plant optimization and control algorithms. His work focuses on distributed optimal control, turbine layout optimization, and resilient energy systems. Education: PhD in Mechanical Engineering from Texas A&M University Master’s and Bachelor’s in Mechanical Engineering from University of Colorado Boulder Research Interests: Design of control and optimization algorithms for wind plants, building energy systems, and grid integration Core developer of FLORIS, a steady-state flow modeling tool Hybrid renewable energy systems and resilient energy infrastructure Recent Research Trends: 2025 publications highlight advancements in reinforcement learning for energy systems Development of the FLOWERS AEP model for fast annual energy production estimation Focus on Gaussian wake modeling and hybrid system optimization Collaborative work on load assessment for wind turbines with yaw misalignment Professional Activities: Active member of the American Institute of Aeronautics and Astronautics (AIAA) Member of the American Society of Mechanical Engineers (ASME)

• Machine Learning
• Deep Learning
• Neural Networks
• +3 more

Enrique Romero Merino is an Associate Professor at the Department of Computer Science within the Barcelona School of Informatics (FIB) at the Polytechnic University of Catalonia (UPC). He is a key member of the IDEAI-UPC (Intelligent Data Science and Artificial Intelligence Research Group) and the SOCO (Soft Computing) research group. His expertise spans machine learning, deep learning, and neural networks, with interdisciplinary applications in medical imaging, computational architecture, and data science. His research focuses on developing advanced machine learning methodologies, including restricted Boltzmann machines, radiomics for medical diagnostics, and generative design in architecture. He actively collaborates on projects like diabetic retinopathy prediction using OCTA imaging, automated social housing layout generation, and glioblastoma treatment response analysis. Romero Merino has contributed to 147 academic activities, including journal publications, competitive R&D projects, and conference presentations. His recent work emphasizes the intersection of AI with healthcare and sustainable architectural design, leveraging techniques like radiomics and deep learning for real-world problem-solving.

• Computational Geometry
• Program Testing
• Software Reliability Estimation

Simeon Ntafos is a Professor in the Department of Computer Science at the University of Texas at Dallas, serving as Associate Dean for Undergraduate Education and Director of the Office of Student Services. His research focuses on computational geometry, program testing, and software reliability estimation. Ph.D., Northwestern University (1979) M.S. in Electrical Engineering, Northwestern University (1977) B.S. in Electrical Engineering, Wilkes College (1974) His computational geometry work includes terrain guarding, watchman routes, and polygon partitioning, while his software engineering research compares testing strategies like random and partition testing. Publications span from 1988 to 2005, showing sustained contributions to geometric algorithms and software reliability. As an academic leader, he has organized conferences including the 21st Symposium on Computational Geometry and contributed to journals such as IEEE Transactions on Software Engineering and Algorithmica. His methodological innovations include greedy algorithms for VLSI routing and visibility-based optimization techniques.

Phillip S. ColesView profile

Associate Professor

• Supply Chain Management
• Economics
• Business
• +3 more

Phillip S. Coles is a Teaching Associate Professor at Lehigh University in the Decision and Technology Analytics (DATA) department. With over 30 years of industry experience, he specializes in Supply Chain Management , Economics , and Business . Education : Bachelor's degree in Agricultural Science from Pennsylvania State University M.B.A. in Supply Chain Management from Lehigh University M.S. in Applied Economics and Management from Cornell University Lean and Continuous Improvement training from The Kaizen Institute, Manufacturer's Resource Center, and Toyota Supplier Support Center Research Focus : Supply chain economics Manufacturing systems optimization Trade policy and globalization Behavioral aspects of resource allocation Media Contributions : Regular columnist for Discourse Magazine Freelance contributor to The Wall Street Journal , The Hill , Pittsburgh Post-Gazette , and Washington Examiner Expert commentary on inflation dynamics, labor policy, and supply chain disruptions Industry Experience : Vice President of Strategic Management at a multi-million dollar produce company Consulting firm focused on plant layout optimization and assembly line balancing

Ok-Youn YuView profile

Professor

• UAV Technology in Construction
• Sustainable Energy Systems
• Infrastructure Sustainability
• +13 more

Dr. Ok-Youn Yu is a Professor and current Department Chair of the Department of Sustainable Technology and the Built Environment at Appalachian State University, where he has been a faculty member since 2010. He holds a Ph.D. in Civil Engineering from Texas A&M University and brings both academic excellence and five years of industry experience as a bridge and tunnel engineer to his role. Ph.D., Civil Engineering, Texas A&M University, 2009 M.S., Construction Management, Texas A&M University, 2005 B.S., Civil Engineering, Konkuk University, Seoul, Korea, 1999 Dr. Yu’s research focuses on advancing sustainable technologies in civil infrastructure, particularly through the integration of UAVs (drones) in construction surveying, erosion monitoring, and building energy analysis. His work also spans sustainable energy systems such as biomass heating and landfill gas monitoring, alongside infrastructure sustainability, remote health monitoring, and natural hazard early warning systems. He applies advanced decision-making tools like Bayesian networks, influence diagrams, and life cycle assessment to project risk management and optimal modeling. His recent publications reflect a strong trend toward interdisciplinary innovation, combining remote sensing, data analytics, and sustainable design. These works span applications in construction accuracy, energy-efficient buildings, and resilient infrastructure. The integration of Building Information Modeling (BIM) and 4D CAD into energy performance management is another key theme. Dr. Yu has successfully secured nearly $2 million in research funding from prestigious agencies including the National Science Foundation (NSF), Environmental Protection Agency (EPA), U.S. Department of Agriculture (USDA), North Carolina Department of Transportation (NCDOT), and the North Carolina Department of Agriculture and Consumer Services. He has mentored over 30 graduate students and numerous undergraduates, fostering the next generation of sustainable technology leaders. He leads multiple research initiatives including UAV-based monitoring, sustainable energy systems, and web-based early warning platforms for infrastructure. His lab supports hands-on student research in drone technology, energy modeling, and risk analysis.

Seokhyun ChungView profile

Assistant Professor

• Internet of Things (IoT)
• Data-Driven Analytics
• Federated Learning
• +4 more

Seokhyun Chung is an Assistant Professor at the University of Virginia, located in Lab 257 of Olsson Hall. His research focuses on IoT-enabled systems, leveraging data-driven methods such as federated learning, multi-task learning, and Bayesian probabilistic modeling to address challenges in statistical heterogeneity, scalability, and personalization in connected systems. Applications span smart healthcare and manufacturing systems, emphasizing reliability and efficiency. Research Interests: Chung's work integrates IoT, machine learning, and systems engineering to develop collaborative analytics frameworks. He explores federated learning architectures for distributed data fusion, probabilistic modeling for uncertainty-aware predictions, and optimization techniques for resource allocation in edge computing environments. His healthcare focus includes gait analysis and load estimation for wearable devices, while manufacturing applications involve job scheduling and additive manufacturing quality control. Key Contributions: Recent work highlights include federated multi-output Gaussian processes for heterogeneous systems, real-time adaptation of time-series predictions, and fairness-aware machine learning for load carriage tasks. His interdisciplinary projects address both technical and operational challenges, such as emergency department layout optimization and toxic gas monitoring networks. Labs & Infrastructure: Chung's research is conducted in Olsson Hall's advanced labs, leveraging IoT sensor networks, edge computing setups, and collaborative simulation environments to prototype innovative smart systems solutions.

• Academic Writing
• Written Communication
• Oral Communication
• +6 more

Leen Pollefliet is an academic communication specialist at Ghent University's Faculty of Engineering and Architecture , specifically within the Department of Information Technology . With a 1985 Master of Languages (magna cum laude) from Ghent University, she has been teaching engineering students since 1988, developing a comprehensive communication learning pathway for bachelor's to master's level curricula. Specializes in academic writing and oral communication Authored 8+ educational handbooks since 2009 Focus on practical skills: thesis writing, presentations, job applications Created QR-code-based interactive learning tools for digital teaching Her research focuses on professional communication challenges in engineering education, particularly: Structural integrity in technical documents Modern APA referencing practices Effective academic poster design Business presentation techniques Writing process optimization Language education for STEM students Key publication trends show sustained focus on engineering communication since 2009, with 2024 conference paper "Connecterend presenteren" emphasizing audience engagement strategies. Her 2022 book "Scoring with Your Thesis" integrates digital learning materials through QR codes. Notable contributions include: 2024 Conference Paper on Presentation Techniques 2022 Thesis Writing Handbook 2016 8th Edition Communication Guide

• Human-Computer Interaction (HCI)
• Computer Vision
• Deep Learning
• +6 more

Yue Jiang is an incoming Assistant Professor at the University of Utah (Fall 2025) and is currently finishing her Ph.D. at Aalto University and the Finnish Center for Artificial Intelligence (FCAI). Her research focuses on human-centered technologies in HCI, computer vision, and deep learning, particularly in computational user interface understanding, eye tracking, and adaptive GUI layouts. She has held visiting roles at Carnegie Mellon University (CMU) and collaborated with institutions in Canada and the UK. She serves on program committees for CHI, VL/HCC, and IUI, and has organized computational UI workshops at CHI conferences. Education: Ph.D. in Intelligent Systems (Aalto University & FCAI, 2025) Visiting Ph.D. Student (CMU, 2024) M.Sc. in Computer Science (University of Maryland, 2020) B.Sc. in Computer Science (University of Toronto, 2018) Research Interests: Yue explores computational representations of UIs, human behavior modeling via eye tracking and motion capture, and adaptive interfaces. Her work bridges HCI, computer vision, and machine learning to enhance human capabilities through AI-driven systems. Awards: Meta Research PhD Fellowship (2023–2025) Heidelberg Laureate Forum Young Researcher (2024) Google Europe Students with Disabilities Scholarship (2022) Advising & Grants: Yue mentors students in areas like multimodal generative AI and seeks researchers for her group. She has received grants from FCAI, Adobe Research, and the National Science Foundation. Labs & Collaborations: Active in the Computational Behavior Lab (Aalto) and BIG Lab (CMU), she collaborates on projects like OR-Constraints for adaptive GUIs and graph-based UI modeling.

Marius HadryView profile

Researcher

• Self-aware Computing Systems
• Self-adaptive Systems
• Internet of Things (IoT)
• +6 more

Marius Hadry is a doctoral researcher at the Chair of Software Engineering (Computer Science II) at the University of Würzburg, under the supervision of Prof. Samuel Kounev. He is affiliated with the Department of Computer Science within the Faculty of Mathematics and Computer Science. His research focuses on Self-aware Computing Systems , Sel-adaptive Systems , IoT and Cyber-physical Systems , Industry 4.0 , Platooning , and Intelligent Transportation Systems . Marius holds a Master's (2021) and Bachelor's (2019) in Computer Science from the University of Würzburg. Education: Master of Computer Science (2019-2021), Bachelor of Computer Science (2016-2019), both at the University of Würzburg. His work emphasizes practical applications of adaptive systems in transportation and logistics. Recent research explores traffic forecasting models, failure prediction in HDDs, and performance analysis of microservices. Marius actively contributes to international conferences like MASCOTS, SEAMS, UCC, and ICPE. Teaching activities include supervising Bachelor/Master theses, coordinating software architecture lectures, and organizing seminars on software engineering. He has also taught operating systems and contributes to academic initiatives like the Secure Software Systems Group.

Jean HeemskerkView profile

Professor

• Building Construction
• Architectural Design
• Technical Construction
• +5 more

Prof. Jean Heemskerk (Frankfurt University of Applied Sciences, Faculty of Architecture, Civil Engineering and Geomatics) serves as Dean of Department 1 since 2022. His work focuses on building construction, architectural design, and technical construction while bridging theory with practice in urban development projects. He has established a reputation for integrating sustainable concepts and material innovation into architectural education. Bachelor of Architecture, TU Karlsruhe (1989) Diploma, TU Darmstadt (1996) Co-founder of motorplan Frankfurt (1996) His research interests center around technical construction , urban design , and renewable energy integration through projects like wind energy architectural potential studies and early childhood MINT education initiatives using play objects. He emphasizes material experimentation (particularly concrete) and spatial problem-solving in complex urban contexts. Students under his supervision have received numerous awards including: Master students: 1st prize in Green Campus Award (2016), Dachwelten competition (2015) Bachelor students: multiple awards from Fachvereinigung Deutscher Betonfertigteilbau e.V. and Heidelbergcement AG His recent work includes the Z1 Bahnstadt masterplan development (2022) and Planetarium design for Senckenberg Museum expansion.