Find Academic Supervisors

Sabine TimpfView profile

Professor

• Geoinformatics
• Spatial Cognition
• Wayfinding and Navigation
• +7 more

Prof. Dr. Sabine Timpf, Chair of Geoinformatics at the University of Augsburg 's Faculty of Applied Computer Science , leads pioneering research at the intersection of spatial cognition , urban navigation systems , and agent-based modeling . Her work transforms how we understand wayfinding processes , landmark-based route planning , and urban space appropriation through computational approaches. Dr. techn. from TU Vienna (1998), Dipl.-Ing. from University of Hannover (1993), M.Sc. from University of Maine (1992) Research spans spatiotemporal data mining , cognitive GIS , and smart city applications . Key contributions include: Pioneering landmark salience metrics for navigation systems Developing affordance-based urban accessibility models Integrating LLMs with GIScience for intelligent urban systems Mapping olfactory and acoustic wayfinding cues in urban environments Agent-based simulations of public park usage and climate change impacts on allergenic plants Her recent publications analyze: 2025: Foundational work on olfactory navigation and LLM-GIS integration 2023-2024: Landmark modeling, sound mapping, and microplastic soil analysis 2021-2022: Pedestrian simulation frameworks and climate change pollen studies Teaching focuses on GIScience , 3D modeling , and spatial data analysis . She supervises research teams exploring urban green space ontologies , route probability models , and multi-agent transport simulations .

• Cryptography
• Secure Multi-Party Computation
• Blockchain
• +3 more

Dr Aydin Abadi is a Research Fellow at Newcastle University specializing in cryptography and security systems. His research spans privacy-preserving technologies, blockchain architectures, and secure multi-party computation protocols, with active publication output from 2015 through 2025. His primary research domains include Cryptography, Secure Multi-Party Computation (particularly Private Set Intersection variants), Blockchain Applications, Privacy-Preserving Computation, Distributed Systems Security, and Federated Learning. He has pioneered protocols for verifiable delegated computation on outsourced datasets and developed novel approaches to Byzantine fault tolerance in distributed ledgers. Analysis of his 9 publications (2015-2025) reveals an evolutionary trajectory from foundational cryptographic protocols (2015-2019) toward applied blockchain systems and machine learning security (2023-2025). His recent work integrates cryptographic techniques with federated learning frameworks and develops commercial-grade blockchain alternatives, demonstrating consistent innovation in bridging theoretical cryptography with real-world system implementations.

John McCarthyView profile

Professor

• Human-Computer Interaction
• User Experience Design
• Technology for Vulnerable Populations
• +4 more

John McCarthy is Professor of Applied Psychology at University College Cork, Ireland, where he leads the People and Technology research group. He maintains active visiting positions as Research Fellow at Open Lab, Newcastle University UK, and previously held visiting appointments at Sodertorn University College in Stockholm and with the Interaction Design Centre at University of Limerick. His research focuses on understanding how emerging technologies influence people's lived experiences, with particular emphasis on designing usable and enriching technologies. Current work centers on developing technologies and services for vulnerable populations including older adults with dementia and individuals with health-related difficulties. His approach prioritizes making lived experience a primary reality in technology design and discourse. McCarthy has published extensively in human-computer interaction, including two books on conceptualizing user experience and critically engaging with contemporary methods of experience-centered design. His most recent significant work involves the Ticket to Talk mobile application designed to facilitate intergenerational interactions through digital media. His research methodology often involves participatory design with end-users as experts on their own experiences. Through his People and Technology research group, McCarthy investigates how technology design can be oriented toward what matters to people who live with these technologies, particularly focusing on maintaining agency in social settings for vulnerable populations. His work bridges theoretical frameworks of human experience with practical design applications in healthcare and social contexts.

Mari W. BucheView profile

Professor

• Management Information Systems
• Gender in STEM
• IT Workforce Management
• +4 more

Mari W. Buche serves as Associate Dean and Professor of Management Information Systems in the College of Business at Michigan Technological University, with an additional affiliation in Data Science. Since joining in 2003, she has actively contributed to campus and community life through Houghton Rotary Club service and enthusiastic support for Michigan Tech athletics. Her educational background includes: PhD in Business Administration/Management Information Systems, University of Kansas MAIS in Accounting and Information Systems, University of Kansas BA in Psychology, University of Georgia, Athens Dr. Buche's research centers on the impact of IS/IT changes on professionals, exploring career transitions (e.g., programmer to systems analyst) and technological shifts' radical effects on professional identity. She investigates computer anxiety, self-efficacy, mentoring via ICT, and IT service management standards like ITIL, with strong emphasis on improving gender balance in STEM fields and IT workforce retention. Her recent publications (2015-2023) reveal dominant themes of gender diversity in IT (including job crafting for women's retention and men's workplace challenges), information security policy design, and technology acceptance in educational contexts, demonstrating consistent focus on human aspects of information systems across diverse application areas. Dr. Buche's teaching excellence has been recognized with multiple awards: Finalist for Michigan Tech Distinguished Teaching Award (2008) College of Business Teaching Award (2005) College of Business Teaching Award (2012) College of Business Teaching Award (2014) She has actively mentored students as advisor to Association of IT Professionals, Houghton-Hancock Rotaract Club, Beta Gamma Sigma, and Alpha Gamma Delta, while contributing to university governance through the Provost Search Committee and Senate Alternate service.

Banu AysolmazView profile

Assistant Professor

• Business Process Management
• Digital Innovation
• Data Analytics
• +3 more

Banu Aysolmaz is an Assistant Professor at Eindhoven University of Technology (TU/e) in the Information Systems group within the Industrial Engineering and Innovation Sciences school. She is affiliated with EAISI and actively supervises PhD candidates Paola Lara Machado, Montijn van de Ven, and Ginger Korsten. Her research focuses on business process management , digital innovation , and the integration of intelligent systems with organizational processes. She explores how organizations develop data analytics capabilities and align business models with operational processes. Her work includes process model visualization techniques like animation and virtual environments. Recent publications emphasize greenhouse gas emission management , network-based business models , and capability maturity models for data analytics. Her research spans process mining , sustainability in production , and critical success factors in digital transformation projects. Scientific Awards I3E 2024 Runner-up Best Paper Award Marie Curie Individual Fellowship NWO Creative Industry Grant (2020) Banu is involved in educational activities including Design of service operations , Business process management , and Green and digital transformation: sustainability in the era of AI . She contributes to academic peer-review for journals like International Journal of Production Economics and European Conference on Information Systems .

Konstantinos TsilionisView profile

Assistant Professor

• Agile Software Development
• Business and IT Alignment
• Model-Based Systems Engineering
• +4 more

Konstantinos Tsilionis is an Assistant Professor in the Department of Industrial Engineering & Innovation Sciences at Eindhoven University of Technology (TU/e), where he conducts research at the intersection of agile software development, business-IT alignment, and enterprise architecture. His work focuses on reconciling agile software development practices at the operational level with strategic organizational intents, with applications particularly in healthcare and telecommunications sectors. His academic background includes: Bachelor's degree in Physics from Aristotle University of Thessaloniki, Greece Master's degree in Business Economics from KU Leuven, Belgium Master's degree in Business Administration (MBA) with specialization in Business Information Management from KU Leuven, Belgium Ph.D. from the Research Center for Information Systems Engineering at KU Leuven, Belgium Tsilionis' research interests span multiple interconnected domains in software engineering and business-IT alignment. He investigates modeling-oriented approaches to drive feature-oriented development processes that deliver value to both end-users and strategic organizational layers. His work explores how agile methodologies can be scaled effectively in large software development projects while maintaining business-IT alignment. He has made significant contributions to understanding the complementarity between different modeling techniques like CMMN and iStar for complex domain problems. Additionally, his research examines diversity-driven power dynamics in software engineering environments, particularly focusing on gender and racial diversity impacts on workplace behaviors. His recent publications demonstrate a strong focus on the intersection of agile software development, enterprise architecture, and business-IT alignment. The research shows a progression from tactical agile implementation concerns toward strategic alignment considerations. Key themes include capability-based management, digital transformation in specific industries, scaling agility in large organizations, and the integration of different modeling approaches to address complex organizational challenges. Tsilionis actively contributes to the academic community through service activities: Program committee member for the International Conference on Business Informatics and ACM Symposium on Applied Computing Reviewer for high-impact journals including Information and Software Technology, IEEE Transactions on Services Computing, and IT Professional He teaches courses on Digitalization and Enterprise Systems and the Design of Business Information Systems at TU/e, connecting theoretical frameworks with practical applications for students. His educational background in both physics and business economics informs his interdisciplinary approach to software engineering research.

Joey S. KimView profile

Assistant Professor

• Nineteenth-century British Literature
• Romanticism
• Asian American Literature
• +5 more

Joey S. Kim is an Assistant Professor of English and Director of Graduate Studies at the University of Toledo in the Department of English Language & Literature within the College of Arts and Letters. She holds a Ph.D. from Ohio State University and specializes in nineteenth-century British literature, Asian American literature, and creative writing, with a particular focus on Romanticism, poetics, and cultural representation. Ph.D., Ohio State University Dr. Kim's research explores the intersections of global Anglophone literature with a focus on 18th- and 19th-century poetics and aesthetics. Her work investigates how cultural difference shapes literary production, particularly examining what she terms a "poetics of orientation" in Romantic literature. She also conducts significant research on Asian American representations, Korean history, and U.S. foreign policy, with her next book project "The Yellow Nineteenth Century" tracing Asian American culture through print history. Her scholarly output reveals consistent engagement with themes of cultural representation, Orientalism, and the formation of identity across time. Kim's work bridges historical literary analysis with contemporary social issues, particularly examining how nineteenth-century literary formations continue to shape modern conceptions of race, gender, and cultural difference. Her publications demonstrate expertise in both traditional literary scholarship and public-facing writing that addresses current events. 2022 Ohioana Book Award finalist for Poetry (for "Body Facts") 2020 recipient of the Arthur Williams Award for Meritorious Service to the Arts 2020 Pushcart Prize nominee for her poem "Plunder" Dr. Kim has received research support from prestigious organizations including the National Endowment for the Humanities (NEH), the American Antiquarian Society, the Boston Athenaeum, and the Society of Nineteenth-Century Americanists. Her creative and scholarly work has been widely published in venues ranging from academic journals like Essays in Romanticism and Nineteenth-Century Gender Studies to public platforms like the Los Angeles Review of Books and Shondaland. As both a scholar and creative writer, Dr. Kim maintains an active presence in literary communities, participating in readings, workshops, and public discussions about Asian American literature, Romanticism, and contemporary social issues. Her dual focus on academic scholarship and creative production creates a unique interdisciplinary approach to literary studies.

Deniz BALTAView profile

Assistant Professor

• Machine Learning
• Computer Vision
• Biometrics
• +2 more

Deniz BALTA serves as an Assistant Professor in the Department of Software Engineering at Sakarya University's Faculty of Computer and Information Sciences, a position held since 2020. His academic background includes a Doctorate (2012-2019) and Master's degree (2010-2012) from Sakarya University's Institute of Science in Computer and Information Engineering, with doctoral research on fuzzy logic-based indoor air quality monitoring systems and master's work on security infrastructure for service-oriented architectures. He completed his Licence degree (2005-2010) in Computer Engineering at Eskişehir Osmangazi University. His research spans Machine Learning (feature selection, K-Nearest Neighbors, Marine Predators Algorithm), Computer Vision (pose-based monitoring, face anti-spoofing), Biometrics (two-factor facial authentication), and Health Informatics (anxiety, depression, and perinatal period applications), with strong emphasis on Computer Security for critical infrastructure. Prior to his current role, he served as a Research Assistant in the Department of Computer Engineering at the same faculty from 2010 to 2020.

Saulius GudasView profile

Professor

• Software Engineering
• Enterprise Modelling
• Information Systems Engineering
• +5 more

Prof. Dr. (HP) Saulius Gudas is an Affiliated Professor in the Cybersocial Systems Engineering Group of the Institute of Data Science and Digital Technologies at Vilnius University . His office is located at Akademijos St. 4, room 603, Vilnius, Lithuania. Education & Background: While explicit degrees are not listed in the provided source, his long-standing professorship and extensive publication record spanning over a decade indicate advanced doctoral training and senior academic status. Research Interests: Prof. Gudas focuses on the intersection of software engineering, enterprise modelling, and knowledge-based systems . Core themes include: Causal knowledge modelling to enhance agile enterprise application development. Model-driven approaches for ensuring business-IT alignment. Deep knowledge-based evaluation and interoperability of enterprise applications. Quality modelling of web services and financial process mining. Publication Trends: Across the most recent works (2017–2024), a clear trajectory emerges from foundational enterprise modelling and interoperability assessment toward leveraging causal models and data analytics to improve agile development processes, service quality, and financial anomaly detection. Doctoral Supervision & Training: Prof. Gudas has successfully supervised the following PhD projects: Andrius Valatavičius – “Assessment of application program interoperability using autonomous computing technologies” (defended 2019). Mindaugas Jusis – “Research on synchronization methods for autonomous port loading processes” (2016–2020). Karolis Noreika – “Evaluation of the application development process using an improved Agile project management method” (2019–2023). Laboratory & Team Involvement: As a senior member of the Cybersocial Systems Engineering Group, he contributes to interdisciplinary projects that integrate software engineering methodologies with socio-technical system analysis within the larger Institute of Data Science and Digital Technologies.

• Internet of Things
• Edge Computing
• Distributed Systems
• +7 more

Andreas Menykhtas serves as an Assistant Professor at the Department of Digital Systems within the School of Information and Communication Technologies at the University of Piraeus. His academic journey began at the National Technical University of Athens where he completed his undergraduate studies in Electrical and Computer Engineering in 2004, followed by postgraduate and doctoral studies at the same institution, earning his PhD in Engineering in 2009 with a specialization in service-oriented infrastructure. His research spans the evolving landscape of modern information systems infrastructure, with particular emphasis on Internet of Things, Edge Computing, distributed systems, and cloud computing environments. Dr. Menykhtas has developed expertise in software development, artificial intelligence, machine learning applications, smart cities infrastructure, and e-health systems. His scholarly contributions include over 100 publications in scientific journals, international conferences, and book chapters that have collectively garnered more than 1,900 citations. His publication record reveals a strong trajectory in distributed computing architectures, with recent work focusing on the integration of AI techniques at the network edge, optimization of resource allocation in multi-tenant environments, and development of service-oriented frameworks for smart city applications. The interdisciplinary nature of his research bridges computer science, engineering, and practical applications in urban and healthcare contexts. Dr. Menykhtas has extensive teaching experience across multiple Greek institutions, having delivered undergraduate and graduate courses on distributed computing, programming, and information systems development at the University of West Attica, the Hellenic Open University, and the University of Piraeus. His research activities include participation as scientific manager, researcher, and engineer in numerous European and national research projects.

• Computer Science
• Process Mining
• Service Level Agreements
• +3 more

Andrew Reeves serves as a Research Fellow at Ulster University's School of Computing within the Faculty of Computing, Engineering and the Built Environment. Based at the Belfast campus in Room BB-02-010 (2-24 York Street, BT15 1AP), he maintains active institutional affiliation with contact details including phone +44 28 9536 7620 and email a.reeves@ulster.ac.uk. His research centers on Computer Science with specialized focus in Process Mining and Service Level Agreement formalization. Reeves investigates technical frameworks for service allocation systems, particularly examining how process mining methodologies can standardize SLA implementation in service-oriented architectures. His work bridges theoretical computer science with practical service management applications. Reeves' primary research output includes a 2021 IEEE conference contribution on SLA allocation formalization that has garnered 3 Scopus citations. This work demonstrates consistent specialization in service allocation processes and technical knowledge application within computing systems, reflecting focused expertise rather than broad disciplinary exploration.

• Health and aging
• Family caregiving
• End-of-life care transitions
• +7 more

Dr. Rebecca Utz is Professor of Sociology and Criminology at the University of Utah, with adjunct appointments in Family & Consumer Studies and the College of Nursing (Gerontology). She serves as Senior Associate Dean in the College of Social and Behavioral Science and has been a faculty member since 2004. Her interdisciplinary work bridges sociology, gerontology, and health services research with practical applications for family caregivers. Dr. Utz earned her PhD in Sociology from the University of Michigan (2004) following a Master's degree in gerontology (long term care administration) from Miami University. Her academic path reflects integration of theoretical sociological perspectives with applied gerontological knowledge. Her research centers on health and aging in America, specifically examining how families manage end-of-life and chronic disease care transitions. As a lifecourse sociologist, she investigates bereavement/widowhood, family caregiving dynamics, and develops supportive interventions for caregivers, particularly in dementia care, respite services, and advance care planning. Her work consistently emphasizes community-engaged approaches that directly address caregiver needs. Dr. Utz's recent scholarship reveals an evolving trajectory toward technology-enhanced interventions for caregivers, with growing emphasis on digital inequality considerations, rural-urban disparities in caregiving resources, and innovative approaches to advance care planning for dementia patients. Her research increasingly examines how family structure influences end-of-life care experiences and outcomes. Her significant contributions have been recognized through numerous honors: Distinguished Teaching Award (2017, University of Utah) Distinguished Mentor Award (2016, University of Utah Graduate School) W. Fred Cottrell Distinguished Alumni Award (2016) Fellow, Gerontological Society of America (2012) Superior Research Award (2012) Superior Teaching Award (2010) As an educator, Dr. Utz teaches research methods, epidemiology, population studies, and families & health courses while mentoring numerous students in hands-on research experiences. Her substantial grant portfolio includes major projects like 'The Center for Dementia Respite Innovation' and 'Leading End-of-Life Dementia Care Conversations,' demonstrating sustained funding for impactful caregiver research. Dr. Utz actively contributes to research infrastructure through leadership in the Consortium for Families & Health Research and the Family Caregiving Collaborative. She serves on the Utah Special Committee of Family Caregiving and influences national policy as a delegate to the National Strategy to Support Family Caregivers, effectively bridging academic research with practical applications for family caregivers.

Francesco LeottaView profile

Assistant Professor

• Ubiquitous Computing
• Human-Computer Interaction
• Digital Humanities
• +8 more

Francesco Leotta is a Tenure Track Assistant Professor in the Department of Computer, Control and Management Engineering at Sapienza University of Rome, specializing in ubiquitous computing, human-computer interaction, and digital humanities with applications in smart spaces, smart manufacturing, and cultural heritage. His educational background includes a PhD in Engineering in Computer Science (2014), Master Degree in Computer Science Engineering (2010), and Bachelor Degree in Computer Science Engineering (2006), all with honors from Sapienza University of Rome. He has been qualified to practice as a Computer Science Engineer since 2010. Leotta's research pioneers 'habit mining' for learning human behaviors from unlabeled sensor data, focusing on usability for technicians through readable process models and for end users via accessible interfaces including chatbots and solutions for people with disabilities. His recent work centers on Industry 4.0, developing AI-driven digital twin architectures for industrial automation. Key projects include privately funded Rotalaser Fustella 4.0 and publicly funded initiatives FIRST and ElectroSpindle 4.0. Analysis of his 2024-2025 publications reveals strong interdisciplinary trends bridging business process management with IoT and AI, particularly in smart manufacturing maturity models, digital twin composition, and multimodal human-robot interaction. His work consistently integrates theoretical frameworks with practical industrial applications. Scientific recognition includes: Best Paper Award at IEEE International Conference on Web Services (ICWS 2019) Leotta actively contributes to research groups in Human-Computer Interaction, Data Management, and Semantic Technologies, with current projects focusing on adaptive smart manufacturing systems. His grant portfolio demonstrates successful collaboration between academic research and industrial applications in the manufacturing sector. He maintains active involvement in the computing continuum ecosystem through projects like DataCloud, addressing big data pipelines and dark data utilization in industrial contexts.

Daniele NardiView profile

Professor

• Cognitive Robotics
• Robotic Soccer
• Emergency Robotics
• +4 more

Daniele Nardi is a Full Professor at Sapienza University of Rome, affiliated with the Faculty of Information Engineering, Computer Science, and Statistics, and the Department of Computer, Control, and Management Engineering "A. Ruberti". He has held this position since 2000 and previously served as a researcher (1988) and associate professor (1992) at the same institution. His academic journey began with a Laurea in Electronic Engineering from Politecnico di Torino (1981) and a Specialization in Control Systems Engineering from Sapienza (1984). Research interests include: Cognitive Robotics Robotic Soccer Emergency Response Robotics Assistive Robotics for Elderly Precision Agriculture Robotics Recent article trends focus on: Synthetic data generation for agricultural monitoring LLM-driven multi-agent planning systems Signal temporal logic applications in robotics Self-supervised learning techniques Virtual reality-based HRI evaluation Embodied AI and online grounding Scientific recognition includes: IJCAI Publisher's Prize 1991 Intelligenza Artificiale award 1993 RoboCup Mid-Size II Place 1998 AAMAS Best Robotic Demo 2008 ECCAI Fellow 2009 He leads the Cognitive Robot Teams laboratory and serves as President of the RoboCup Federation since 2011. As Presidente del Consiglio d'Area in Computer Engineering since 2004, he has shaped academic governance. His teaching includes Seminars in Artificial Intelligence and Robotics at the Master in AI and Robotics program, and Complements of Programming at the undergraduate level.

• Discrete-Event Simulation
• Supply Chain Management
• Logistics Optimization
• +5 more

Guilherme Augusto Borges Pereira serves as an Associate Professor at the School of Engineering, University of Minho, and holds the position of Senior Researcher at Centro ALGORITMI. He is actively involved with the IEM R&D Group and SLOTS R&D Lab, contributing to research in industrial engineering and simulation. With a PhD credential and substantial academic output (93 publications, 645 citations, h-index 13), his work appears prominently in Q1/Q2 journals across operations research and industrial engineering domains. His research program centers on discrete-event simulation methodologies applied to complex industrial systems, with particular expertise in supply chain management, logistics optimization, and big data integration. Key application areas include warehouse automation systems, production line control mechanisms, automotive supply chains, cement industry logistics, and healthcare transportation services. His methodological contributions frequently combine simulation with optimization techniques such as genetic algorithms and integer programming to solve real-world operational challenges. Analysis of his publication trajectory reveals a strategic evolution toward integrating big data analytics with traditional simulation frameworks, particularly for supply chain risk management and data validation purposes. His work demonstrates remarkable cross-sector applicability, spanning automotive manufacturing, cement production, cork industry processes, and urban traffic systems. Recent publications emphasize computational experiments with simulation tools in big data contexts, semantic validation techniques, and comparative studies of simulation software platforms. As an academic leader, Pereira has chaired significant conferences including the European Modeling and Simulation Symposium (EMSS) 2019. His research maintains strong industry relevance through case studies addressing material handling systems, warehouse design optimization, production flow control, and non-emergency patient transportation logistics. His technical proficiency extends across multiple simulation environments with particular emphasis on the Simio platform for industrial applications.