Ravi Chugh is an Associate Professor in the Department of Computer Science at the University of Chicago. His work bridges Programming Languages (PL) and Human-Computer Interaction (HCI), focusing on direct manipulation programming systems and hole-driven development. Affiliation: University of Chicago Role: Director of Undergraduate Studies Research interests: Direct Manipulation Programming Systems Type Systems Program Synthesis Structured Editing Visual Programming His recent work includes Ragged Blocks (UIST 2025) for structured text rendering, Code Style Sheets (OOPSLA 2025) for styling code, and projects like Sketch-n-Sketch and Hazel for bimodal programming environments. Professional Activities: Program Committee: HATRA 2025, VL/HCC 2023, PLDI 2022, POPL 2021 Artifact Evaluation Co-Chair: PLDI 2018-2020 Editorial Board: Journal of Functional Programming (2020–)
Zachary Tatlock is an Associate Professor at the Paul G. Allen School of Computer Science & Engineering , University of Washington , with a focus on Programming Languages . His research spans formal verification , compiler design , floating-point accuracy , and machine learning frameworks , unified by themes of making tricky code easier to write and ensuring correctness through rigorous proofs and empirical systems. His recent work includes unifying Datalog and equality saturation (PLDI 2023), exploring LLM-driven document markup (Programming with AI 2024), and advancing floating-point error analysis via interactive tools like Odyssey (UIST 2023). He leads the UW PLSE research group and co-organizes events like EGRAPHS and FPTalks . Key collaborations include verifying distributed systems in CakeML (ECOOP 2022) and developing egglog , an e-graph library with relational extensions (PLDI 2023). His teaching includes Solver-Aided Programming (CSE 507) and Grad PL (CSE 505), emphasizing both Greek (formalism) and graphs (empiricism) .
Andrea Sanna is a Full Professor at the Department of Control and Computer Engineering (DAUIN) of the Polytechnic University of Turin, Italy. His research focuses on 3D computer graphics , virtual and augmented reality , human-machine interaction , and scientific visualization . He has led numerous teaching initiatives, including courses on Computer Animation , Human-Machine Interaction , and 3D Graphics in Biometric Applications , with a strong emphasis on education technology and curriculum design. Scientific Branch: Information Processing Systems (Area 0009 - Industrial and Information Engineering) ERC Sectors: PE6_8 (Computer Graphics), PE6_9 (Human-Computer Interaction), PE6_11 (Machine Learning) His research spans peer-to-peer architectures , cloud solutions , and deep learning for 3D object reconstruction , with applications in augmented maintenance and synthetic dataset generation . He has contributed to European projects like OASIS and regional initiatives EASE-R3 and HUMANS. Recent publications highlight his work in AI-driven industrial design , VR/AR for sports analytics , and multimodal HMI systems . Awards include three Best Paper Awards (UCMEDIA 2009, HUCAPP 2017, SalentoAVR 2018) and a CNR fellowship (2002-2003). Advising : Supervising PhD candidate Luca Francesco Rossi on "Who’s What: From Recognition to Identification" and mentoring via the Mentoring Polito Project (M2P). Grants include funding for projects like Impressed: 3D Body Angle Calculation and Human-Robot Collaboration via AR .
Peter André Busch is an Associate Professor at the Department of Information Systems, University of Agder, Norway. His research focuses on technology's societal impacts, particularly in public sector contexts, decision-making processes, and generative AI ethics. He holds a Master's in Information Systems and dual Bachelor's degrees in IT & Information Systems (University of Agder) and Theology (Ansgar Theological College). He teaches three core courses: IS-115 Web Programming in PHP, TFL102/119 IT and Society, and Research Methodology. His academic work emphasizes qualitative and quantitative methods, especially PLS-SEM analysis. Research interests include digital discretion in public services, problematic technology use, e-government frameworks, and human-centered AI applications. He participates in research groups such as CIEM (Integrated Emergency Management), CeDiT (Digital Transformation), and HCAI (Human-Centered AI). Recent publications analyze AI's role in bureaucratic decision-making, autonomous technology acceptance, and generative AI capabilities. No scientific awards are listed, but his work demonstrates strong theoretical contributions to digital government and IS research. Advising: No formal advisees listed. Grants and funding details are not explicitly mentioned. Active in research teams exploring crisis management technologies and digital governance innovations. Labs/Teams: Member of CIEM, CeDiT, and HCAI research centers focused on emergency systems, digital transformation strategies, and ethical AI implementation in public institutions.
Willard Rafnsson is an Associate Professor in the Department of Computer Science at the IT University of Copenhagen (ITU), where he conducts research in language-based security, programming-language theory, and formal methods. He is a member of the Center for Information Security and Trust (CISAT), the Programming, Logic and Semantics (PLS) group, and the Software Quality Research (SQUARE) group. He has held visiting and postdoctoral positions at Carnegie Mellon University and the Max Planck Institute for Software Systems. His research focuses on enabling developers to build trustworthy software through program analysis, transformation, and information-flow control. He has led and contributed to multiple funded projects in cybersecurity, including static analysis for JavaScript, privacy risk modeling, and secure software education. His recent publications span top venues in security and programming languages, demonstrating a consistent focus on formal techniques for enforcing security policies and quantifying privacy risks. Willard Rafnsson has served on program committees for IEEE SecDev, NordSec, FORTE, POST, and FCS, and regularly peer-reviews for CCS, S&P, CSF, NDSS, and other leading journals and conferences. He teaches courses in operating systems, program verification, and information security, and has developed educational materials for public cybersecurity awareness. PhD: Chalmers University, supervised by Andrei Sabelfeld Postdoc: Max Planck Institute for Software Systems (Deepak Garg), Carnegie Mellon University (Limin Jia, Lujo Bauer) Visiting Researcher: Carnegie Mellon University (Stephanie Balzer, 2022) He actively supervises student projects in areas such as binary analysis, vulnerability fixing, formal verification, and privacy risk visualization, many of which have led to publications. He is also involved in public outreach, having participated in media interviews and educational videos on cybersecurity topics.
Dr Michael Lane is a Senior Lecturer in Information Systems at the University of Southern Queensland (USQ), School of Business. He serves as Vice-Chair of the ACS Downs and South West Chapter and Chair of the USQ ICT Programs Leadership and Governance Committee. With over 20 years of experience in teaching, research, and service, his expertise spans Digital Transformation, Business Analytics/AI, and Cybersecurity at organizational and societal levels. He supervises multiple PhD/DBAR students and has published extensively in high-impact journals and conferences. Educations: ADipMC (University of Southern Queensland) BIT(Hons) (University of Southern Queensland) PhD (University of Southern Queensland) Research Interests: Digital Transformation of Organizations Cybersecurity Management (Risk, Governance, Compliance) Business Analytics and Artificial Intelligence His research bridges theory and practice, addressing real-world challenges through rigorous methodologies. Articles Trends: Recent works focus on AI-driven educational design, healthcare supply chain safety, and digital transformation maturity models. Notable contributions include frameworks for ERP system effectiveness and cross-cultural innovation analysis. Awards: Best Conference Paper Award (2021) ACPHIS Kit Dampney Best Paper Award (2013) Advising & Grants: Supervises over a dozen PhD/DBAR students, including projects on healthcare app development and ICT strategic investment. Active in grants like the USQ CRN Project on broadband ecosystems. Labs & Affiliations: Affiliated with the Institute for Resilient Regions (IRR), Rural Economies Centre of Excellence (RECE), and Centre for Health Research (CHR). Active in collaborative research on rural ICT impacts and health informatics.
Nozha Boujemaa is a Research Director at Inria and Director of DATAIA Institute, leading projects in Data Sciences, Algorithmic Transparency, and Societal Impact. She co-founded the Digital Society Institute (ISN) and serves as a Senior Scientific Advisor for AI initiatives. Expert in Large Scale Multimedia Content Search, Pattern Recognition, and Machine Learning Developed methods for visual content enrichment, interactive retrieval, and satellite image analysis Scientific leader of Pl@ntNet (plant identification), CHORUS (multimedia search engines), VITALAS, MUSCLE, and TRENDS projects Her research spans Multimedia Retrieval , Big Data Applications , and Algorithmic Transparency , with over 150 publications. She has supervised 25+ PhD/Master's students and organized conferences like ACM Multimedia 2013 and European Big Data Value Forum 2017. Key scientific awards include: Knight of the National Order of Merit (France) She has contributed to international projects (NSF, European Commission), served on editorial boards for Multimedia Tools and Applications , and co-chaired workshops on visual digital libraries and AI ethics. Her work impacts web search, cybersecurity, biodiversity, and earth observation.
Dr. Elaheh Yadegaridehkordi is a Lecturer in Information & Communications Technology at CQUniversity's School of Engineering and Technology, where she teaches courses including Business Process Management, Professional Communications Skills for ICT, and Foundations of Business Computing. She has earned international recognition including being named among the World's Top 2% Scientists by Stanford University and Elsevier in 2023 and receiving a Teaching Excellence Award for her innovative instructional methods. Her research focuses on management information technology, technology adoption, sustainability, big data, educational technology, health information systems, and tourism management. With over 80 impactful publications in leading academic journals and more than 3,300 citations, her work spans diverse areas including AI applications, sustainable business practices, and technology adoption across multiple sectors. She has published 44 articles in Q1/Q2 WoS journals, with 11 receiving the highest A*/A designation according to the Australian Business Deans Council list. Dr. Yadegaridehkordi has successfully supervised master's and PhD students while securing research grants that advance knowledge in her fields of expertise. Her research demonstrates consistent trends toward applying advanced analytical methods (PLS-SEM, ANFIS, SEM-ANN) to understand technology adoption across diverse contexts including autonomous vehicles, food delivery apps, and sustainable manufacturing. Her work bridges technical AI/ML approaches with practical business and societal applications. World's Top 2% Scientists (Stanford University and Elsevier, 2023) Teaching Excellence Award (2023) Qualified as a Global Talent by the Australian Government (2022) Prestigious fellowship from Iranian Vice-Presidency for Science and Technology (2020) Full PhD Scholarship from Ministry of Education Malaysia (2011-2015) Three Minutes Thesis (3MT) Competition Winner (2015) Dr. Yadegaridehkordi is actively involved in research supervision across multiple fields including Information Systems, Education Systems, Commerce and Management, Artificial Intelligence, Data Management, and Machine Learning. She serves on editorial boards and as a committee member for numerous international conferences, contributing to the advancement of knowledge in her fields. Her current research projects focus on the intersection of technology adoption, sustainability, and advanced analytical methods across diverse sectors.
Stefano Lambiase is a researcher in Computer Science currently affiliated with Aalborg University in Denmark, where he holds an institutional email address (stla@cs.aau.dk). He earned his PhD in Computer Science from the University of Salerno at the Software Engineering Laboratory (SESA Lab), with a doctoral project titled "Longitudinal Data-Driven Software Project Management" focusing on the social and human aspects of Software Development and Management. His educational background includes: PhD in Computer Science from University of Salerno (2019-present) Master's Degree in Computer Science from University of Salerno (2019-2021), with thesis on "Cultural and Geographical Dispersion Impact on Communication and Collaboration of Software Development Teams" Bachelor's Degree in Computer Science from University of Salerno (2015-2019), with thesis on "Test Smell Detection and Suggestions (TESEUS)" Stefano's research interests center around the human and social dimensions of software engineering , with particular focus on cultural and geographical dispersion in software development teams, community smells (socio-technical anti-patterns), and their impact on productivity and software quality. His work bridges theoretical frameworks with practical applications, developing tools like CADOCS (a conversational agent for community smell detection) and DARTS (a test smell detection and refactoring plugin). He has also explored emerging areas including quantum software communities, metaverse development, and the integration of large language models in software engineering practices. His publication record demonstrates a consistent focus on socio-technical aspects of software development, with recent work examining cultural dispersion effects, community smells in various contexts (including machine learning systems and quantum computing), and educational applications in the metaverse. His research employs diverse methodologies including empirical studies, surveys, interviews, and tool development. Stefano has received recognition for his work, including a Best Paper Award at the 25th Euromicro Conference on Software Engineering and Advanced Application (SEAA 2022) for his paper "'There and Back Again?' On the Influence of Software Community Dispersion Over Productivity". He has been actively involved in the software engineering research community, serving on program committees for major conferences including ICSE-SEET 2024, SANER 2024, ICSEA 2023, MSR 2023, and SCAM-NIER 2023. Additionally, he served as Social Media and Web Chair for the Third Workshop on Gender Equality, Diversity, and Inclusion in Software Engineering (GE@ICSE 2022). Stefano has developed several research tools and projects: DARTS (Detection And Refactoring of Test Smells): An IntelliJ plugin for detecting and refactoring test smells CADOCS : A conversational agent for community smell detection and refactoring in Slack Erwin Bot : A chat bot for management support built with Azure Cloud Services BiblioNet : A Spring Boot Web App for library support QuantuMoonLight : A low-code platform to experiment with quantum machine learning SENEM : A software engineering-enabled educational metaverse SERGE : A serious game for risk management education in software project management
Jeng-Chung Chen is a Professor and Distinguished Professor at the Institute of International Management (IMBA), College of Management, National Cheng Kung University (NCKU), Taiwan. He has held leadership roles including Director of the Institute of International Management (2012–2018) and currently serves as Director of the Taiwan Pan-Asia Prospect Research Center since 2016. Education: Ph.D. in Communication and Information Sciences, University of Hawaii at Manoa (2002) His research centers on electronic commerce, information systems, information ethics, project management, and IS service quality. His work explores user behavior in digital environments, including social media engagement, cloud computing adoption, privacy concerns, and consumer impulse buying in augmented and virtual reality shopping. He has made significant contributions to understanding user satisfaction, online trust, and the impact of technology design on user behavior. His recent publications (2025–2011) span top journals in human-computer interaction and information systems, revealing a strong trend toward studying immersive technologies (AR/VR), live streaming commerce, and coping with digital overload. These works integrate behavioral theories with empirical methods, often using PLS-SEM and experimental designs. Scientific Awards: Mr. Lu Feng Zhang Memorial Medal, Chinese Management Association (2013) Service Science International Collaborative Research Award, Taiwan Service Association (2012) Distinguished Research Paper in Information Technology, Decision Sciences Institute (2012) President of the Association for Chinese Management Educators (2012) President of International Chinese Information Systems Association (2011) Scopus Young Scientists Nomination (2015) Who's Who in the Word (33rd Edition) (2016) Dr. Chen has supervised 89 academic works and led 13 research projects as Principal Investigator, focusing on social media strategies, cloud storage adoption, and digital privacy. His projects are typically funded at the national level and emphasize practical implications for organizations and policy. He actively contributes to advancing research in digital innovation and sustainable technology use. He is affiliated with key research centers at NCKU, including the Taiwan Pan-Asia Prospect Research Center, where he leads initiatives on regional digital transformation and cross-border e-commerce. His lab and research team focus on behavioral experiments, survey-based studies, and data analytics in digital consumer behavior and organizational IT adoption.
Hila Peleg is an Assistant Professor at the Technion - Israel Institute of Technology , working at the intersection of Programming Languages , Software Engineering , and Human-Computer Interaction . She co-leads the TecSE lab with Prof. Shachar Itzhaky, focusing on programmer tooling inspired by programming language theory.
Michael Greenberg is an Assistant Professor in the Department of Computer Science at Stevens Institute of Technology's Schaefer School of Engineering. His research develops formal methods for practical systems, focusing on POSIX shell semantics, gradual typing, and network programming abstractions. He has received multiple awards including a Distinguished Paper Award at PLDI 2022 and Most Influential Paper for Flapjax (OOPSLA 2009). Dr. Greenberg's work spans programming language theory, executable semantics for shell scripting, and software-defined networking. His publications demonstrate strong integration of theoretical foundations with systems applications, particularly in improving shell script reliability and developing network verification frameworks. Recent work includes Kleene algebra extensions and parallelization techniques for shell scripts. He holds a PhD in Computer Science from the University of Pennsylvania (2013) and BA degrees in Computer Science and Egyptology from Brown University (2007). Dr. Greenberg actively contributes to program committees for PLDI, OOPSLA, and POPL, and serves on the POPL Steering Committee (2021-2024).
Russell Haines is a Professor at Appalachian State University's Department of Computer Information Systems (USA) and currently serves as a Visiting International Professor (VIP) at the University of Münster's School of Business and Economics (Germany) from June 1 to July 31, 2025. His primary research focuses on the impact of information technology on group interaction, including ethical decision-making in IT use, supply chain coordination, and awareness in computer-mediated communication. He employs interdisciplinary methods from sociology, organizational psychology, and quantitative techniques like structural equation modeling (AMOS/PLS), alongside qualitative approaches such as ethnography. Since 2011, he has regularly taught the 'Networks Economics' Master's course at Münster's Information Systems department. His technical interests span communication technology, database design, and human-computer interaction. He has developed multiple computer-based group experiments, often collaborating with colleagues to extend his dissertation work and address interdisciplinary research questions. No scientific awards or grants are explicitly mentioned in the provided texts. His office during the visit is Leonardo-Campus 3, Room 313.
Nisreen Ameen is a Senior Lecturer (Associate Professor) in Digital Marketing at Royal Holloway, University of London, and Director of the Digital Organisation and Society Research Centre. She also serves as Vice President of the UK Academy of Information Systems (UKAIS). Previously, she held academic positions at Queen Mary University of London, Birkbeck University of London, and Anglia Ruskin University. Her research focuses on consumer interactions with new technologies, organizational use of data for service improvement, and cross-national entrepreneurship studies, with expertise in qualitative and quantitative methods like PLS-SEM and SEM. Dr. Ameen has published in top-tier journals such as the British Journal of Management and Psychology & Marketing. She is an Associate Editor for Information Technology and People, Computers in Human Behavior, and the International Journal of Consumer Studies. Notable awards include the Neil Doherty Best Paper Prize (2018) and the Best Researcher Award (2019). She actively participates in international conferences and contributes to policy projects like the British Academy-funded 'Understanding AI Skills Inequalities in the UK.' In teaching, she emphasizes student-centric approaches, offering modules in Marketing Strategy, Consumer Behavior, and AI in Education. She advocates for integrating advanced technologies like robotics and AI into pedagogy, highlighted by her 2019 panel discussion on AI in higher education at the University of Buckingham.
Ben Volmer is a Lecturer in the UniSA STEM unit at the University of South Australia. His research focuses on the intersection of augmented reality (AR), virtual reality (VR), and neuroscience, particularly examining how these technologies affect cognitive processes and human performance. He investigates EEG responses to incongruent sensory information in AR environments, spatial AR predictive cues' impact on mental effort, and VR applications for remapping motor control in prosthetic systems. Key research areas include: EEG-based analysis of cognitive load in AR/VR contexts Optimizing AR interfaces for procedural task guidance Neural adaptation in extended reality environments His recent work explores: Real-time neural decoding of incongruent stimuli (2024) Effects of predictive cues on sleep-deprived users (2022) Third-arm remapping in VR (2019) Ben has conducted studies on: Storyline visualization for wargame analysis (2024) Multi-level AR precues for workspace navigation (2023) No scientific awards or major grants were explicitly mentioned in the provided information.
