Find Academic Supervisors

• Human-Computer Interaction
• End-User Development
• Mobile Application Privacy
• +7 more

Juan Pablo Saenz Moreno is a Fixed-term Assistant Professor in the Department of Control and Computer Science (DAUIN) at the Polytechnic University of Turin, affiliated with the College of Computer, Film and Mechatronics Engineering. His work bridges research and teaching in information processing systems and human-computer interaction. His research interests focus on Human-Computer Interaction , End-User Development , Mobile Application Privacy , Internet of Things , and Computing Education . He explores how users interact with intelligent systems, develop software themselves, and manage privacy in mobile environments. His work emphasizes user empowerment and interactive design. The recent publications highlight a strong trend in interactive computing systems, particularly in education, privacy, and creative applications of code. The research spans journals and top-tier conferences like ACM CHI and EICS, showing interdisciplinary engagement across computing, education, and art. Keywords include human-computer interaction, cybersecurity, software engineering, and digital creativity. Scientific contributions include work on collaborative computing education, privacy tools for end-users, IoT interaction models, voice-assisted debugging, and code-based art. Though no formal awards are listed, the publication record reflects impactful research in niche but growing areas of computer science. He has actively contributed to teaching across multiple degree programs, serving as course instructor and collaborator for Introduction to Web Applications , Web Applications I , Business Information Systems , and Empirical Research Methods at bachelor's, master's, and PhD levels. No formal advisees or grants are mentioned in the available text. He is a member of the ELITE - Intelligent and Interactive Systems research group within DAUIN, which focuses on developing intelligent, user-centered technologies for real-world applications.

Michael J SilvermanView profile

Professor

• Music Therapy
• Mental Health
• Substance Use Disorders
• +7 more

Michael J Silverman is a Professor in the Department of Music at the University of Minnesota – Twin Cities, where he conducts extensive research in music therapy and its clinical applications. His work bridges music, psychology, and healthcare, focusing on evidence-based interventions for mental health and substance use disorders. Position: Professor Department: Music Institution: University of Minnesota – Twin Cities Email: silvermj@umn.edu His research interests lie at the intersection of music therapy, mental health, and clinical psychology. He investigates the effectiveness of music-based interventions—particularly songwriting and group music therapy—in treating conditions such as alcohol use disorder, depression, and anxiety. His work often employs rigorous methodologies including cluster-randomized trials, scoping reviews, and case studies. The most recent publications highlight a strong trend in evaluating music therapy's role in substance use recovery, psychometric tool development, and care for older adults. His studies frequently appear in leading journals such as Music Therapy Perspectives , Nordic Journal of Music Therapy , and Psychology of Music , reflecting a consistent, high-impact research trajectory in applied music therapy. Michael J Silverman has received research funding, including a 2010 grant from the American Music Therapy Association for a project on family-based educational music therapy. While specific awards are not listed, his sustained publication record and funded research indicate recognition within the field. He has advised or collaborated with researchers on various studies, though formal students are not named in the provided text. His scholarly work contributes to UN Sustainable Development Goals related to mental health and well-being. He is actively involved in shaping clinical music therapy practices through research on program development, patient engagement, and therapeutic outcomes in diverse populations including seniors, individuals in detoxification, and those with co-occurring psychiatric conditions.

Matthias HauswirthView profile

Associate Professor

• Computer Science Education
• Programming Languages
• Conceptual Change
• +3 more

Matthias Hauswirth is an Associate Professor at the Università della Svizzera italiana (USI) in Lugano, Switzerland, leading the Lugano Computing Education (LuCE) research lab . His work focuses on programming education, conceptual change in learning, and notional machines. He actively contributes to Swiss high school informatics teacher training programs and maintains the programming misconceptions repository . Education: Not explicitly detailed in provided texts Research: Centers on programming education, language design for learning, and empirical studies of programming practices Publications: Span 2011-2025 with emphasis on educational tools, Java analysis, and graphics-based learning Service: Program committee roles in OOPSLA, SPLASH, ICER, and co-organizer of SPLASH-E 2016 Projects: ExpressionTutor.org, PyTamaro, Progmiscon.org

Laia Riera NegreView profile

Researcher

• Hospital Pedagogy
• Quality of Life
• Pediatric Palliative Care
• +3 more

Laia Riera Negre is a pre-doctoral researcher under the Research Staff Training (FPI) program and PhD candidate at the University of the Balearic Islands (UIB) in the Department of Applied Pedagogy and Educational Psychology. She is an active member of the Inclusive Education and Diversity Research Group (GREID) and contributes to multiple significant research projects including the R&D+i project 'Palliative care and quality of life in childhood and adolescence' [PID2020-114712RB-I00] and the European project 'Transform to improve inclusion at university' in collaboration with the University of Barcelona and Université de Montpellier. Her primary research interests focus on: Hospital Pedagogy - developing educational approaches for hospitalized children Quality of Life assessment in pediatric palliative care contexts Pediatric Palliative Care educational responses Social Robotics applications in healthcare education settings Research Methodologies for inclusive educational interventions Digital inclusion for vulnerable student populations Analysis of her recent publications (2023-2025) reveals a cohesive research trajectory centered on improving educational experiences for children with serious health conditions. Her work demonstrates increasing sophistication in developing assessment tools like the PACOPED QL, examining digital accessibility challenges, and exploring innovative applications of technology in hospital pedagogy. She frequently employs mixed-methods approaches and shows particular expertise in qualitative methodology. Riera Negre serves as a reviewer for the Electronic Journal of Educational Technology EDUTEC-E and coordinates the volunteer team of the InèditHos association focused on 'Educational and Technological Research and Intervention in the field of Hospital Pedagogy.' Her teaching portfolio includes courses in Inclusive Education, Qualitative Methodology, and supervision of Master's theses and internships related to hospital pedagogy. She actively participates in multiple research initiatives including the innovation project 'Promotion of the ApS methodology for raising awareness of the university community regarding the SDGs with InèditNet' and the 'GeniusUp' project developing educational video games for VR/RV and iTV. Her work bridges education, healthcare, and technology with practical implications for improving educational support systems for children in palliative care settings.

Thomas ZeiserView profile

Researcher

• High-Performance Computing
• Lattice Boltzmann Methods
• Computational Fluid Dynamics
• +3 more

Dr. Thomas Zeiser serves as Head of Systems & Services and Chief Operating Officer HPC at NHR@FAU (Center for National High Performance Computing Erlangen) at Friedrich Alexander University Erlangen-Nuremberg. He leads the Systems & Services group of NHR@FAU and HPC4FAU since the end of 2020 and serves as deputy for NHR@FAU in the NHR Betreiberausschuss. His work focuses on transitioning from serving FAU only to national center operations, managing HPC systems, procuring new infrastructure, financial controlling of NHR@FAU's budgets, and supporting planning for a new data center building. Dr. Zeiser's research interests center around High-Performance Computing with specific expertise in Lattice Boltzmann Methods , large-scale simulations, evaluation of HPC hardware and software, and efficient operation of HPC systems. His work bridges the gap between theoretical computational methods and practical implementation in high-performance environments. He has implemented the first job-based job and performance monitoring for RRZE's HPC systems and has extensive experience in procurement of HPC infrastructure. Analysis of Dr. Zeiser's publication record reveals a consistent focus on practical applications of computational methods in HPC environments. His research demonstrates a progression from fundamental lattice Boltzmann method development toward increasingly complex system-level concerns including fault tolerance, performance monitoring, energy efficiency, and scalable implementations. The publications show strong collaboration patterns with researchers at FAU and other German institutions, particularly in the areas of computational fluid dynamics and parallel computing. Dr. Zeiser regularly serves as a reviewer for various journals and compute time commissions of different HPC centers. He is also one of the local organizers for the Ferienakademie of TUM, FAU, and Universität Stuttgart held in Sarntal. His work with NHR@FAU positions him at the forefront of national high-performance computing infrastructure in Germany. At NHR@FAU and RRZE (Regional Computing Center Erlangen), Dr. Zeiser leads teams responsible for operating some of Germany's most powerful academic supercomputing resources. His group plays a critical role in supporting computational research across multiple disciplines at FAU and increasingly at the national level through the NHR initiative.

• Multimedia
• Virtual Reality
• 360-degree Video
• +2 more

Dr. Antoni Oliver Tomàs is a Professor at the Department of Mathematical Sciences and Computer Science (DMI) at the University of the Balearic Islands (UIB), where he has been affiliated since 2011. His academic journey includes a Technical Degree in Management Computing (2011), a Computer Engineering Degree (2015), a Master's in Computer Engineering (2017), and a PhD in Information and Communication Technologies (2022). Education: Technical Degree in Management Computing (2011), Computer Engineering (2015), Master's in Computer Engineering (2017), PhD in Information and Communication Technologies (2022). His research focuses on multimedia technologies , specifically in interactive television , virtual reality , and 360-degree video . He has been associated with the Multimedia Information Technologies (TIM) research group and the Multimedia Information Technologies Laboratory (LTIM) since 2011, contributing to several projects and international conferences. He actively supervised a dozen final degree projects and participated in teaching innovation initiatives. Scientific Contributions : His 2022 article demonstrates how LSTM neural networks classify video types and user devices in 360-degree video consumption with over 90% accuracy. This work aligns with his PhD thesis on user behavior analysis across immersive and non-immersive interfaces. Scientific Awards: Third prize at iemprèn (2022) for an end-of-degree VR project. Teaching Roles: He teaches programming and multimedia subjects across Computer Engineering, Mathematics, and Telematics Engineering programs, including courses like Programming Languages and Final Degree Projects . He also contributed to the organization of the International Conference on Interactive Digital Television within the LTIM framework.

Daniel W. BarowyView profile

Associate Professor

• Programming Languages
• End-User Programming
• Spreadsheet Debugging
• +5 more

Daniel W. Barowy is an Associate Professor in the Department of Computer Science at Williams College . His research focuses on programming languages , particularly end-user programming , crowdsourcing , and spreadsheet debugging . He integrates program analysis with statistical techniques to improve software usability and robustness. Current affiliations: Williams College (2017-present) Education: University of Massachusetts Amherst (PhD, 2017) His research explores language abstractions for human-computer integration , with notable projects like ExceLint (spreadsheet error detection), FlashRelate (spreadsheet data extraction), and Riker (incremental build systems). He emphasizes artifact verification , securing PLDI 2015 Distinguished Artifact Award and USENIX ATC 2022 Best Paper . Recent publications demonstrate trends in spreadsheet reliability , crowdsourcing frameworks , and scalable educational tools . He has received "Artifact Verified" badges for multiple projects and actively contributes to software tool development , including AutoMan , ExceLint , and CheckCell . USENIX ATC 2022 Best Paper PLDI 2015 Distinguished Artifact Award Multiple "Artifact Verified" badges As an educator, he teaches CSCI 334: Principles of Programming Languages and CSCI 331: Computer Security . His work bridges theoretical PL research with practical applications in spreadsheet programming and crowdsourcing platforms .

• Cloud Computing
• Database Systems
• Parallel Processing
• +3 more

Mariusz Fraś is a researcher affiliated with the Faculty of Information and Communication Technology at Wrocław University of Science and Technology. He works within the Department of Computer Science and Systems Engineering , focusing on computational systems' performance and cloud-based architectures. His research spans database optimization, parallel processing, and mobile application frameworks. Research interests include: Computational cloud scalability and cost optimization Database application performance analysis Parallel processing frameworks Mobile sensor data processing Web content delivery efficiency His publications demonstrate expertise in cloud computing trends, with 10 peer-reviewed works since 2014. Notable collaborations include researchers like Piotr Karwaczyński and Bogdan Marczuk. Current research likely continues exploring hybrid cloud environments and software performance metrics. Contact: mariusz.fras@pwr.edu.pl , Room 301, Building C-3, Wrocław University of Science and Technology.

Stefan GrunerView profile

Professor

• Formal Methods
• Software Engineering
• Model Checking
• +9 more

Stefan Gruner is a Professor in the Department of Computer Science, Faculty of Engineering, Built Environment and Information Technology, at the University of Pretoria, South Africa. He holds advanced degrees in Informatics (PhD, MSc) and Philosophy (MA), reflecting his interdisciplinary research that bridges formal software engineering, digital forensics, and the philosophy of technology. His work is widely published in international journals and conferences, and he is deeply involved in academic service, including supervision, examination, and program committees. Education: MA in Philosophy, Germany, 2010 PhD in Informatics, RWTH Aachen, Germany, 1999 MSc (Dipl.-Inform.) in Informatics, Germany, 1996 His research interests center on Formal Methods , Software Engineering , and the Philosophy of Computer Science . He has made significant contributions to parameterized and three-valued model checking, formal methods for railway systems, and the scientific foundations of digital forensics. His recent work explores historical semantics in software architecture and the philosophical underpinnings of informatics. His publications from the last few years reveal a strong trend towards formal verification, safety-critical systems, and the epistemological aspects of digital investigation and software engineering. Scientific Recognition: Biographic entry in Who's Who in the World (2010 edition) Member of the selection committee for the Annual Best Dissertation Award (EAPLS) Stefan Gruner is an active advisor and supervisor, having guided numerous MSc and PhD students to completion. He has secured research funding from the South African National Research Foundation (NRF) and international partners for projects on model-driven development, CSP protocol verification, and visualization of distributed algorithms. His academic service is extensive, including roles as program chair for workshops like FM+AM and SEFM, editor for conference proceedings, and external examiner for multiple universities. He has also been a visiting researcher at institutions in Bordeaux and Swansea. He was a central organizer of the Distributed Systems Research Group at the University of Pretoria and has fostered international collaborations, particularly within the formal methods and software engineering communities.

• Cognitive Capitalism
• Digital Technology and Democracy
• Philosophy of Techniques
• +3 more

Fabien Granjon is a Professor of Sociology at Université Paris 8. His research focuses on cognitive capitalism, digital technology's societal impacts, and the philosophy of technological mediation. He actively contributes to interdisciplinary studies on sustainable innovation, education technology, and the socio-political dimensions of digital practices. Granjon co-edits sections on 'Cognitive Capitalism' and 'Democracy and Digital Technology' in Cahiers Costech, a journal he collaborates with through its editorial committee. His work bridges sociology, cognitive science, and technological design, emphasizing how tools shape perception and cognition. Research Interests: Cognitive Capitalism, Digital Democracy, Enactive Design, Sustainable Innovation in Engineering Editorial Roles: Section Editor for 'Cognitive Capitalism' and 'Democracy and Digital Technology' (Cahiers Costech) Key Contributions: Exploring code as a semiotic tool, digital literacy frameworks, and the societal implications of AI Granjon’s recent work analyzes how technical models from diverse disciplines (e.g., neurophysiology, computer vision) are reframed into computational tools, influencing both developer perception and end-user experiences. He emphasizes the role of code as a mediating artifact in collaborative innovation processes.

Ronald GarciaView profile

Associate Professor

• Programming Languages
• Gradual Typing
• Type Systems
• +6 more

Ronald Garcia is an Associate Professor in the Department of Computer Science at the University of British Columbia, affiliated with the Faculty of Science and the Software Practices Lab. His research focuses on programming language theory, emphasizing gradual typing, type systems, and end-user programming. He teaches courses such as Programming Language Principles (CPSC 509) and Compiler Construction (CPSC 411). Education details are not explicitly stated in the provided texts, but his extensive academic contributions span over two decades. Research interests include formal semantics of programming languages, typestate systems, dependent types, and improving software practices for end-users. He has advised numerous Ph.D. and Master's students, contributing to over 30 academic publications. Recent work explores hybrid programming environments for end-users, runtime type slicing for debugging, and foundational frameworks for gradual dependent types. Garcia actively participates in academic conferences as a PC member and keynote speaker, notably in PLDI, POPL, and ICFP. His lab and collaborations focus on advancing theoretical foundations while addressing practical challenges in software development and education.

Reid HolmesView profile

Professor

• Software Engineering
• End-user Programming
• Software Maintenance
• +3 more

Reid Holmes is a Professor in the Department of Computer Science at the University of British Columbia , part of the Faculty of Science . His research focuses on improving software engineering practices, particularly in end-user programming, developer tool design, and empirical software engineering. He leads the Software Practices Lab and has contributed extensively to understanding developer workflows, testing methodologies, and educational tools for programming. Education: PhD in Computer Science, University of Calgary (2008) MSc in Computer Science, University of British Columbia (2004) BSc in Computer Science, University of British Columbia (2002) Research Interests: End-user programming environments, software testing, developer productivity tools, human-centered AI, educational technology, and empirical studies on software development practices. His work emphasizes bridging the gap between theoretical advancements and practical usability for both professional developers and novice programmers. Recent Article Trends: Focus on hybrid programming environments (e.g., block-based and graph-based systems), human-AI collaboration in testing/assertion generation, and age-inclusive IDE design. His research often involves empirical evaluations of tool effectiveness and developer workflows. Awards: FSE Most Influential Paper Award ICSE Most Influential Paper Award UBC Computer Science Teaching Award CS-Can/Info-Can Outstanding Research Prize Advising & Grants: Supervised over 30 graduate students and postdocs. Noted for collaborative projects with industry partners (e.g., Mozilla, Microsoft). Active in curriculum development for software engineering education. Labs/Teams: Leader of the Software Practices Lab , collaborating with industry and academic partners on tools like CodeShovel , AutoAssert , and Devy (conversational developer assistant).

• Cybersecurity
• Network Security
• Mobile Application Security
• +4 more

Prof. Dr. Zoran Đurić is a full professor at the Faculty of Electrical Engineering, University of Banja Luka, specializing in computer science and informatics. He focuses on cybersecurity, network security, and secure communication protocols. His research includes cryptographic protocols like CryptoCloak, intrusion detection systems, mobile application security, and payment system architectures such as FEIPS. He leads projects like the 'Predictive Model Development' funded by NLB Banka and collaborates with institutions like the City of Banja Luka on IT modernization. Đurić has authored textbooks including Network and Distributed Programming and Java Programming , and has published extensively in journals like Computer Networks and Advances in Electrical and Computer Engineering . Educations: Not explicitly listed in text but inferred through academic rank and publications. Research Trends: Over 20 years of work focuses on practical security solutions for modern systems, including Android vulnerabilities, steganography, and adaptive streaming security. Grants/Projects: Active in EU-funded projects (e.g., 'Resilience Against Emerging Cyber Threats') and industry collaborations (e.g., NLB Banka). Labs/Teams: Head of research groups focused on cyber defense, secure payment systems, and software security tools.

Sarah HodkinsonView profile

Teaching Professor

• Music Therapy
• Healthcare Applications of Music
• Cochlear Implant Rehabilitation
• +3 more

Sarah Hodkinson is a Principal Teaching Fellow at the University of Southampton, specializing in Music Therapy and its applications in healthcare and education. She holds a multidisciplinary role combining teaching, clinical practice, and research. Her affiliations include the University’s Music Focus Group, School of Medicine, and collaborations with the Institute of Sound and Vibration Research (ISVR) and University Hospital Southampton. Education: She graduated from the University of Southampton, then pursued postgraduate music therapy training at the Guildhall School of Music and Drama, followed by a Master’s at the University of the West of England. Research Interests - Music therapy in healthcare and education - Cochlear implant rehabilitation (via projects like IMAP) - Music therapy in pediatric palliative care - Cross-cultural therapeutic practices (e.g., ‘Commusicating’ approach in Moldova) - Multidisciplinary clinical work in children’s hospices Her work emphasizes translating research into practical tools, such as the IMAP online program and Good Practice Guide for therapists. Notable recognition includes parliamentary receptions for her Moldova-based initiatives. Teaching Leads the Music Therapy curriculum in Southampton’s Music program, teaching modules like ‘Music Therapy: Fundamentals’ and ‘Music Therapy: Beneath the Surface’. Integrates clinical examples and international case studies into pedagogy. Clinical Roles Clinical Lead at Shooting Star Children’s Hospices, managing multidisciplinary teams supporting 700 families. Specializes in psychotherapeutic care for children with life-limiting illnesses and post-bereavement therapy.

• Clinical Pharmacology
• Pharmacotherapy
• Patient Safety
• +4 more

Maria Reinhilde Casteels serves as a full professor in the Department of Pharmaceutical and Pharmacological Sciences at KU Leuven's Faculty of Medicine. Her institutional base is the Clinical Pharmacology and Pharmacotherapy unit (ON2 Herestraat 49, box 521, Leuven), with office room 05.115. Key administrative roles include: Chair of the Ethics Committee Research UZ/KU Leuven Member of the Council of the Faculty of Medicine Member of the Council of the Department of Pharmaceutical and Pharmacological Sciences External member of the Education-Support Committee Group Biomedical Sciences Member of the University Day Care Centres Executive Committee Her research program centers on clinical pharmacology with dedicated focus areas: Development and validation of clinical decision support systems for medication safety Bedside medication appropriateness checks in specialized wards (hematology, trauma surgery) High-risk medication management in home care nursing environments Prediction modeling for medication discrepancies in emergency departments Optimization of pharmacotherapy through intravenous-to-oral switch protocols Analysis of her 2020-2025 publications reveals a consistent trajectory toward technology-driven medication safety solutions. Her work demonstrates increasing sophistication in integrating real-world clinical data with decision support tools, with recent studies emphasizing customized alert systems to reduce alert fatigue and mixed-methods approaches to evaluate implementation effectiveness across diverse healthcare settings from hospital wards to home care. As co-promotor of the major research project "Optimalisation of pharmacotherapy and patient safety by development of advanced clinical decision support systems" (2020-2025), she actively secures competitive funding. Her teaching responsibilities span multiple pharmacology courses including "Pharmacology and Pharmacokinetics" (E07U0A), "Legislation and Quality Management" (E02Z2A), and case-based learning modules for master's thesis preparation (E0H90A/E0H91A), demonstrating commitment to both foundational and advanced pharmacological education.