Find Academic Supervisors

Reid HolmesView profile

Professor

• Software Engineering
• Software Testing
• Code Search
• +7 more

Reid Holmes is a Professor in the Software Practices Lab at the University of British Columbia's Department of Computer Science, Faculty of Science. With over 15 years of academic experience, he has progressed from Assistant Professor at the University of Waterloo (2010-2015) to Associate Professor (2015-2022) and now full Professor (2022-present) at UBC. His research spans multiple dimensions of software engineering with a strong emphasis on the human aspects of development. Dr. Holmes' research interests focus on understanding the problems software engineers encounter when creating and evolving software systems. His work examines software testing and validation, source code reuse, code search, context-sensitive example location, API understanding, speculative analysis, code review, and team awareness. He believes that by better understanding how people create, explore, evolve, and reason about software systems, we can enhance developers' effectiveness and improve software quality. His research is characterized by its practical application to real-world software development challenges. His recent publications demonstrate a consistent focus on improving developer productivity through better tools and understanding of developer behavior. The publications reveal a trajectory from traditional software engineering topics toward newer areas involving AI-assisted development, with particular attention to how generative AI affects workflow and collaboration. His work consistently bridges theoretical software engineering concepts with practical developer experience considerations. ACM SIGSOFT Distinguished Paper Award (multiple times) FSE 2024 Most Impactful Paper Award 2024 ICSE Most Influential Paper Award Winner of the 2008 MSR Mining Challenge As an educator and mentor, Dr. Holmes has supervised numerous graduate students who have gone on to successful careers in academia and industry. He has served on program committees for major software engineering conferences including ICSE, FSE, and MSR, and has been an Associate Editor for TSE since 2016. His work on developer tools like CodeShovel, Devy, and Baker demonstrates his commitment to creating practical solutions that address real developer pain points.

Avinash SinghView profile

Senior Lecturer

• Machine Learning
• Cognitive Neuroscience
• Brain-Computer Interfaces
• +6 more

Dr. Avinash Singh is a Senior Lecturer at the School of Computer Science at the University of Technology Sydney (UTS), Australia. He serves as co-chair of the IEEE Neuroethics Framework for the Workplace, sponsored by IEEE Brain, and is a member of the IEEE Standards Committee on Unifying Brain-Computer Interfaces (BCI). He also serves as an expert advisor for UNICEF and The Centre of Neurotechnology and Law, UK. Dr. Singh completed his PhD in Computer Science in 2019 at UTS, collaborating with the Technical University of Berlin, Germany, the University of California San Diego, USA, and the US Army Research Lab. Prior to his doctorate, he earned a Master's in Software Systems from Birla Institute of Technology and Science Pilani, India, and earlier degrees in Computer Science and Mathematics from Indian institutions. Working at the intersection of machine learning, cognitive neuroscience, and mixed-reality, Dr. Singh focuses on designing and developing real-world neuroadaptive BCI systems. His research integrates AI technologies with cognitive neuroscience to explore cognitive functions, discover relationships between brain dynamics, evaluate everyday interactions, and develop robust next-generation neuroadaptive BCIs. His work spans areas including neuroadaptive BCI applications for improving interpersonal communication, sensory augmentation for blind individuals, and dream reconstruction from brain signals. Analysis of Dr. Singh's recent publications reveals a consistent focus on developing novel EEG signal processing techniques, creating neuroadaptive interfaces, and applying BCI technology to real-world problems. His work shows increasing integration of deep learning with neuroscience, particularly in the context of cognitive conflict detection, spatial navigation, and assistive technologies for the visually impaired. The research demonstrates strong interdisciplinary connections across computer science, neuroscience, and human-computer interaction. Google TensorFlow Faculty Award (2021) Dr. Singh actively supervises PhD students and has received multiple research grants, including ARC Linkage Projects and NHMRC Ideas Grants. His funded research spans neuro-AI for personalized image generation, sensory augmentation for blind individuals, and ethical frameworks for BCI technology. He leads the UTSxDream Recording project (formerly DreamMachine) and collaborates with international institutions on BCI standardization efforts. Dr. Singh founded the India Future Society, a think tank focused on transhumanism, and actively advocates for the ethical development of neurotechnology. His work bridges academic research with practical applications in assistive technology, human-robot collaboration, and spatial navigation systems.

• Edge Computing
• Cloud Computing
• Artificial Intelligence
• +7 more

Hadi Tabatabaee is an Assistant Professor at the School of Computer Science, University College Dublin (UCD), leading the Sustainable Orchestration in Computing Continuum (SOC² Lab). His research focuses on sustainable orchestration of services across edge-cloud environments, emphasizing energy efficiency, carbon-aware systems, and AI-driven applications like large language models (LLMs). Key roles include Associate Editor for IEEE Access and Management Committee member of COST Action CA22151 (CYPHER). He holds a PhD in Computer Engineering from the University of Isfahan and has held academic positions at Maynooth University, Shahid Beheshti University, and Trinity College Dublin's CONNECT research program. Education: PhD (Computer Engineering, University of Isfahan), MSc (Computer Engineering), with a research visit at TU Delft (2010-2011). Certifications include Epigeum's Research Leadership and Research Integrity courses. Languages: Persian (fluent), Azerbaijani (spoken). Research Interests: Edge-cloud continuum, dynamic service placement, distributed AI workloads, LLM optimization, and sustainable resource management. Recent work includes zero-trust vehicular networks, parallel algorithms for recommender systems, and geospatial event processing. Awards: None explicitly listed, though his contributions include over 20 journal articles in IEEE/Elsevier/Springer venues. Professional Activities: IEEE Senior Member, TPC member for IEEE conferences, and reviewer for multiple journals. Teaching: Coordinates/teaches Cloud Computing, Computer Networks, and Principles of Computer Organization at UCD.

Chris BevanView profile

Academic

• Virtual Reality
• Artificial Intelligence
• Social Robotics
• +4 more

Chris Bevan is an Honorary Research Fellow in the Department of Psychology at the University of Bath and currently teaches immersive technologies at the University of Bristol's School of Computer Science as part of the Bristol Interaction Group. He holds a PhD in Human-Computer Interaction (HCI) from the University of Bath, focusing on pervasive computing and trust in urban systems. His research spans virtual reality (VR), artificial intelligence (AI), social robotics, cybersecurity, and ancient history applications. He leads projects such as the Virtual Reality Oracle (VRO), exploring ancient divination through VR, and collaborates with institutions like Charisma.AI, Kilter Theatre, and the CREATE Laboratory. Key projects include AI in Antiquity (2025-2026), examining AI’s role in engaging with ancient history, and VRDocs (2017-2020), analyzing VR nonfiction media. His work often bridges academia, industry, and the arts, emphasizing ethical considerations and cross-disciplinary innovation. Notable awards include Honorable Mention Awards (2021, 2020) and a Best Paper Award (2016). Bevan’s research explores themes like attention synchrony in 360° video (2020), AI-driven museum interaction (2025), and the ethics of conscious AI in games (2024). He has pioneered location-based services (e.g., Mobile Bristol ) and contributed to foundational studies on trust in Wi-Fi hotspots (2008). His current projects address immersive documentary ethics, telepresence robotics, and VR’s societal impact.

Maria Ribera SanchoView profile

Professor

• Software Engineering
• Conceptual Modeling
• Ontologies
• +4 more

Dr. Maria Ribera Sancho is a Professor at the Polytechnic University of Catalonia (BarcelonaTech), holding roles as Dean of the Faculty of Informatics of Barcelona (2004–2010), Vice-Dean (1998–2004), and currently Manager of the Education and Training Department at the Barcelona Supercomputing Center (BSC-CNS). She chairs the EQANIE Accreditation Committee and serves on the ACM-W Europe Executive Committee. Her research focuses on Software Engineering, Conceptual Modeling, Ontologies, Learning Analytics, and IoT applications. Notable contributions include work on automated design using conceptual models, model-driven software development, and semantic-based IoT infrastructure monitoring. She leads projects like LinDaFIX (social welfare data tools) and REMEDiAL (ontology-driven software automation). Key awards include the UPC Quality in Teaching Prize (2005, 2021), Jaume Vicens Vives Distinction (2005), Sapiens Award (2011), and Festibity Award (2011). She advises doctoral and master’s students on topics like IoT semantic monitoring and educational ontology development. Academic director of the inLab FIB Talent Program, she also directs the PRACE Advanced Training Center at BSC. Main projects include TINTIN (SQL integrity tool), e-Catalunya (collaborative government platform), and PILARES (learning analytics for secondary education). Her work bridges academia and industry through competitive projects with companies and institutions.

Luis Velez QuinteroView profile

Assistant Professor

• Data Science
• Extended Reality (XR)
• Machine Learning
• +4 more

Luis Velez Quintero is an Assistant Professor at Stockholm University within the Department of Computer and Systems Sciences (DSV) . He is affiliated with the Data Science Research Group and the Stockholm Technology & Interaction Research (STIR) group, focusing on Human–Computer Interaction. His research spans adaptive immersive systems, affective computing, and physiological signal analysis in extended reality (XR) environments. Education & Background : Holds a PhD in Computer and Systems Sciences from Stockholm University (2023), MSc in Health Informatics from Karolinska Institutet (2019), and BSc in Electronics Engineering from the National University of Colombia (2015). He has led the startup PortalSense since 2018, developing VR solutions for real estate visualization. Research Interests : Combines data science and ML with XR technologies to create context-aware systems for healthcare, education, and professional training. Key themes include: Adaptive VR/AR systems using real-time physiological and behavioral signals Biosignal integration for personalized user experiences Immersive technologies for cognitive assessment and skill development Publications : Over 20 peer-reviewed articles, including work on affective databases (AVDOS-VR), biosignal frameworks (Excite-O-Meter), and XR applications in cybersecurity education. Recent efforts explore third-person locomotion in VR and early-stage Alzheimer’s detection via spatial navigation tasks. Awards & Grants : Wallenberg Foundation Grant (2023-2025): Analyzing non-verbal communication in psychotherapy Swedish Institute Scholarship (2017-2019): Fully funded Master’s and PhD studies Seed funding for PortalSense from Fondo Emprender SENA Colombia (2022-2023) Advising & Projects : Lead researcher in projects like AVDOS-VR and CS:NO . Co-designed the Excite-O-Meter open-source plugin for real-time physiological analysis in VR. Active in industry collaborations for scalable health interventions and immersive training systems. Labs & Teams : Collaborates with multidisciplinary teams at STIR and DSV, advancing human-centered AI and adaptive XR technologies.

Anil SomayajiView profile

Associate Professor

• Computer Security
• Operating Systems
• Intrusion Detection
• +3 more

Anil Somayaji is an Associate Professor in the School of Computer Science at Carleton University, serving as Associate Director of the Carleton Internet Security Lab (CISL). He holds a Ph.D. from the University of New Mexico (2002) and a B.S. in Mathematics from MIT. His research integrates biological principles with computer security, focusing on software diversity, Linux technologies like eBPF, and adaptive defense mechanisms inspired by the human immune system. Teaching responsibilities include courses such as Fundamentals of Web Applications (COMP 2406), Operating Systems (COMP 3000), and Distributed Operating Systems (COMP 4000/5102). He also leads graduate courses on Operating System/Web Security and Biological Approaches to Computer Security. Current advisees include Lavesh Kamalesh (MHCI), Savannah Sidle (MHCI), and John Shortt (PhD, co-supervised). Research interests span computer security, operating systems, intrusion detection, complex adaptive systems, and artificial life. Notable projects include ebpH (a Linux security tool) and contributions to program committees for the New Security Paradigms Workshop. His work emphasizes practical applications of theoretical concepts, such as using eBPF for runtime process confinement and developing context-aware authentication systems. He collaborates with the Carleton Cyber Security Lab (CCSL) and maintains active engagement in interdisciplinary cybersecurity initiatives. His lab focuses on mitigating vulnerabilities through diversity-based approaches and advancing secure system design principles.

• Human Factors in Privacy and Security
• Usable Security and Privacy
• Security/Privacy Awareness and Behavior Change
• +6 more

Prof. Nico Ebert is a Professor of Business Information Systems and Head of the Information Systems Human Factors & Risks Group at the ZHAW School of Management and Law. His work focuses on human factors in privacy/security, usable security, and organizational cybersecurity practices. He leads research projects such as the Cyber Resilience Network (Canton of Zurich) and studies TikTok privacy behavior among Swiss youth. Ebert has authored over 50 peer-reviewed articles, with recent emphasis on cybersecurity decision-making, privacy-aware design, and organizational data collaboration frameworks. Education background not explicitly stated in provided texts, but his academic career spans over 20 years with a focus on business information systems and cybersecurity. Active in professional networks including ACM's Swiss CHI Chapter and the Digital Society Initiative (DSI). Research integrates behavioral science principles with technical cybersecurity solutions. Key research areas include: human-centered cybersecurity strategies, privacy-by-design frameworks, and evaluating security technologies like trusted execution environments. His work bridges organizational practices with user behavior studies, often employing mixed-methods approaches. Grants and collaborations include leadership in multiple EU-funded projects and industry partnerships. Advises on cybersecurity policies for regulated industries and publishes regularly in top venues like Communications of the ACM and Computers & Security.

Alexandre de SpindlerView profile

Professor

• Conversational Agents
• Generative AI
• Information Systems
• +8 more

Prof. Dr. Alexandre de Spindler is a Professor of Information Systems at the Zurich University of Applied Sciences (ZHAW) within the School of Management and Law . He co-leads the Center for Information Systems and Technologies and focuses on application development frameworks for conversational interactions with information systems, leveraging multimodal foundation models while enhancing their controllability and reliability. His work extends to improving social skills in digital interactions and teaching agile requirements engineering. University: Zurich University of Applied Sciences School: School of Management and Law Department: Institute of Business Information Technology Academic Rank: Professor His research explores conversational systems , generative AI , and stateful prompt orchestration for complex interactions, particularly in healthcare and financial sectors. Recent work includes frameworks like PROMISE for model-driven prompt management and Science Fiction Prototyping for responsible AI innovation. Teaching contributions span data science programs (BSc, MSc, CAS) covering machine learning, generative AI, and full-stack application validation. He collaborates across disciplines including gerontology and forensic phonetics, with a focus on applying AI to societal challenges.

• Interaction Design
• User Experience Design
• Information Visualization
• +4 more

FH-Prof. Dr. Kerstin Blumenstein is a Professor in the Department of Media and Digital Technologies at the University of Applied Sciences St. Pölten. She has been with the institution since 2019, leading research in Interaction Design, User Experience, and Information Visualization. Her work focuses on multi-device ecologies, mobile computing, and digital media integration in cultural and educational contexts. Education includes a Bachelor's in Media Technology (2010) and a Master's in Digital Media Technologies (2012), both from St. Pölten University of Applied Sciences. Prior roles include student assistant at the Institute of Media Informatics and work as a Media Designer in Germany. Research projects like MEETeUX and Seekoi explore user-centered design for multi-device systems and context-aware mobile applications. Key interests span Human-Computer Interaction, second-screen applications, and visualization frameworks for real-time data. Publications emphasize cross-platform visualization tools, mobile interface design, and empirical evaluations of information displays. Current work addresses challenges in BYOD environments and cultural heritage digitalization through projects like KuKoNö . No scientific awards explicitly listed. Active in teaching across multiple programs including Media Technology (BA), Digital Healthcare (MA), and Interactive Technologies (MA).

Mara NikolaidouView profile

Professor

• Distributed Systems
• System Modeling
• Digital Libraries
• +9 more

Mara Nikolaidou is a Professor in the Department of Informatics and Telematics at Harokopio University of Athens since 2007 and has served as the university's Rector since 2016. She represents Greek universities in the European University Association (EUA) for 2023-2024. Her research focuses on distributed systems, system modeling, and responsible computing, with a strong emphasis on IoT, cloud/edge computing, and cyber-physical systems. She leads projects funded by national, EU, and international agencies, exploring topics like autonomous systems, ethical requirements in design, and human-in-the-loop systems. Her educational background includes roles as a computer engineer and IT consultant before academia. She is a member of IEEE (SMC Society and Systems Council) and participates in the Object Management Group (OMG) working groups for SysML and responsible computing. She organizes international conferences in software and systems engineering. Research interests span distributed systems, IoT, and ethical computing. Recent work investigates cost analysis in cloud markets, human-AI collaboration, and smart city technologies. Over 200 publications highlight her contributions to model-based systems engineering, including SysML extensions for cost/QoS analysis and frameworks for autonomous fog nodes. Grants and projects include EU-funded initiatives on smart farming, cloud brokerage, and organizational interoperability. Her lab focuses on autonomous systems and context-aware middleware. She advises on e-Government compliance frameworks and collaborates with industry partners on IoT management platforms.

• Interactive Digital Storytelling
• Children's Literature
• Media Education
• +7 more

Dr. Jim Pope is a Principal Academic in English and Communication at Bournemouth University, Faculty of Media and Communication. He is based at Talbot Campus and has been a key figure in advancing interactive digital storytelling in both academic and public spheres. His work bridges creative writing, media education, and digital technology, with a strong focus on reader engagement and narrative design. His research interests include: Interactive Digital Storytelling Children's Literature and Reader Response Media Education and Digital Literacy Narrative Design in New Media Arts-based Research Hyper-narrative and Non-linear Texts Jim Pope's recent publications reflect a consistent focus on digital narrative tools like Genarrator and the New Media Writing Prize, exploring how interface design, user experience, and interactivity shape reading and writing practices. His work spans journals in digital humanities, media studies, and creative writing education, demonstrating interdisciplinary reach and practical impact in both pedagogy and public engagement. He is actively involved in outreach, including co-chairing the digital art exhibition at the International Conference for Interactive Digital Storytelling (2019–2020) and contributing to the British Library’s Emerging Formats archive. He founded and maintains the Genarrator platform and the New Media Writing Prize, key resources in the digital storytelling community. Jim Pope supervises undergraduate dissertations and teaches courses in Children's Literature, Interactive Digital Storytelling, and Creative Writing. He holds a PhD from Bournemouth University (2007) on readers' responses to interactive fiction and is a member of NAWE and MeCCSA.

Gavin SimView profile

Professor

• Human Computer Interaction
• Child Computer Interaction
• Serious Games Design
• +3 more

Dr. Gavin Sim is a Reader in Human Computer Interaction at the University of Central Lancashire's School of Computing, Engineering and Physical Sciences. His research focuses on Human Computer Interaction (HCI) and Child Computer Interaction, emphasizing participatory design, usability evaluations, and serious games. He explores how technologies can be designed collaboratively with children for contexts like education, health, and gaming. Notable work includes studies on cross-cultural serious game design (e.g., Uganda-UK collaboration), heuristic evaluation methodologies for educational tools, and ethical frameworks for child participation in research. Sim also teaches undergraduate and postgraduate courses, integrating practical and theoretical insights into HCI practices. His contributions span academic publications on child-centred ethics, evaluation tools like the CHUX Toolkit, and frameworks such as CHECk for ethical design processes. He actively engages in global HCI conferences and initiatives, advocating for inclusive and ethical technology development.

Styliaras GeorgosView profile

Associate Professor

• Multimedia Systems
• Cultural Technology
• Spatial Hypermedia
• +3 more

Georgios Styliaras serves as an Associate Professor in the Department of Computer Engineering and Informatics at the University of Patras, where he teaches Informatics I and II courses. His office is located in the Old Building on the 1st floor at G. Seferi 2, with regular office hours Tuesday-Wednesday from 12:00-14:00. His research focuses on Multimedia Systems , Cultural Technology , and Spatial Hypermedia , with particular emphasis on applications in cultural heritage environments. His work bridges computer science with cultural preservation, creating innovative solutions for museums and educational contexts. Analysis of his publication record from 2009-2013 reveals a strong trajectory toward mobile applications for cultural heritage sites, with increasing focus on smartphone-based multimedia services. His research consistently addresses security, trustworthiness, and user experience in digital cultural environments, demonstrating both technical expertise and cultural sensitivity. His scientific contributions include collaborations with researchers like Dimitrios Koukopoulos across multiple publications in journals such as Journal of Educational Multimedia and Hypermedia, Journal of Cultural Heritage, and Electronic Commerce Research.

• Natural Language Processing
• Machine Learning
• Deep Learning
• +5 more

Derry Wijaya is an Associate Professor in the Data Science program at Monash University, Indonesia, specializing in natural language processing with a focus on multilingual applications, machine translation, and large language models. Her research bridges computational linguistics with social applications, examining how language technologies can address challenges in low-resource language settings. Her research interests center on natural language processing, with particular expertise in machine learning applications for multilingual contexts. Wijaya investigates how well-annotated languages can improve translation of less-documented languages, and explores the use of images, related tasks, data augmentation, and large language models to enhance representation and translation for languages with limited training data. Her work demonstrates strong interdisciplinary connections between technical NLP research and real-world social applications. Analysis of her recent publications (2023-2025) reveals a research trajectory that spans core NLP methodologies while increasingly incorporating social media analysis, policy applications, and cross-cultural communication challenges. Her work shows particular strength in addressing low-resource language challenges while maintaining relevance to Indonesian and global contexts, with notable publications examining climate change perception among Indonesian youth and comparative water quality issues between Indonesia and the United States. Wijaya maintains active research collaborations across multiple institutions, with numerous co-authored publications addressing diverse applications of NLP from public health communication to political discourse analysis. Her research demonstrates consistent productivity, with significant output in top computational linguistics venues.