Liao Lizi is an Assistant Professor and Lee Kong Chian Fellow at Singapore Management University's School of Computing and Information Systems. She received her Ph.D. from the National University of Singapore under Professor Tat-Seng Chua. Her research explores the intersection of Machine Learning, Natural Language Processing, and Multimedia, focusing on developing conversational AI systems. Key areas include: Proactive conversational agents that anticipate user needs Multimodal conversational search and recommendation systems Task-oriented dialogue frameworks Human-machine collaborative systems Emotional support and empathetic response generation Her publications demonstrate a strong focus on advancing conversational AI through novel architectures for dialogue planning, multimodal understanding, and knowledge-enhanced generation. Recent work shows increasing emphasis on LLM optimization, financial reasoning benchmarks, and emotional intelligence in dialogue systems. Scientific Awards: Lee Kong Chian Fellowship Google South Asia & Southeast Asia Research Awards 2023 She leads the CoAgent Lab and advises multiple PhD students including recipients of the SMU Presidential Doctoral Fellowship. Current teaching includes Visual Analytics for Business Intelligence (IS428) and Text Analytics and Application (ISSS609).
Mirco Stern is a researcher at the Institute of Information Management (IPD Böhm) at Karlsruhe Institute of Technology. His work focuses on sensor networks, database systems, and service composition technologies. Key research areas include distributed query processing, data quality guarantees, and optimization of join operations in resource-constrained environments. Role : Researcher, Institute of Information Management Location : Karlsruhe, Germany Research trends highlight his expertise in sensor network optimization (join processing, wavelet transforms) and service composition (semantic matchmaking, automated integration). Publications span ACM SIGMOD, VLDB, and ECOWS conferences, emphasizing algorithm design and system efficiency.
David Stotts is a Professor in the Department of Computer Science at the University of North Carolina at Chapel Hill. With a Ph.D. from the University of Virginia (1985), he has held academic positions at UNC since 1992, previously serving at the University of Maryland (1985-1991) and the University of Florida (1991-1992). His affiliations include NASA Goddard Space Flight Center and NIST. Research Interests span collaborative distributed systems, formal methods in software engineering, hypermedia, and active learning pedagogy for programming education. He pioneered the Trellis hypermedia system and the Bricks teaching platform for introductory programming, focusing on concurrent computation models and educational technology. Publications emphasize interdisciplinary applications of software engineering in bioinformatics, environmental science, and assistive technologies, with a strong focus on collaborative interfaces and formal verification. His work includes over 50 refereed publications and book chapters. Honors include the i3@UNC Fellowship for instructional innovation, Best Paper Award at XP/Agile Universe 2004, and memberships in Tau Beta Pi and Phi Beta Kappa. He secured over $4.2 million in research grants from NSF, EPA, DARPA, IBM, and other agencies. Teaching highlights include leading team-based software development courses (COMP 523) and advanced programming seminars (COMP 590). He has supervised 24 graduate students across UNC, University of Maryland, and University of Florida, covering topics like collaborative hypermedia, software process modeling, and assistive technologies.
Thomas Devogele is a Professor at the University of Tours, France, where he serves as Head of the Computer Science Department within the Faculty of Sciences and Technology. He is also Head of the Master 2 in IT and apprenticeships program and deputy director of LIFAT (Tours Fundamental and Applied Computer Science Laboratory). His academic career spans more than two decades, having previously served as an Assistant Professor at the French Naval Academy from 1998 to 2010. His primary research focuses on Geographic Information Systems (GIS), spatio-temporal data mining, and moving object analysis. Dr. Devogele's work specializes in trajectory data-mining, similarity measures between lines or trajectories using Fréchet distance, classification and outlier detection of trajectories, and spatio-temporal database integration. He currently leads research projects DOPAN and PERSONAE. His recent publications (2021-2025) demonstrate an expansion of his research into cycling infrastructure analysis, blockchain applications for business processes, personalized web service recommendations, and health data narratives (particularly tuberculosis in Gabon), while maintaining his core expertise in trajectory analysis and spatial data. His work bridges theoretical computer science with practical applications in transportation, public health, and urban planning. Dr. Devogele has supervised numerous PhD students who have gone on to successful academic and industry careers, including Fournier Sébastien (Assistant Professor at Université de Provence), Noyon Valérie (Leader of GIS department at the city of Niort), and Etienne Laurent (Assistant Professor at Tours University). His teaching responsibilities include Software Engineering, Object-Oriented Programming (Java), Geographic Information Systems, Artificial Intelligence, and Database courses for Computer Science students at the Blois campus. He has made significant contributions to the field through his extensive publication record spanning from 1996 to the present.
Maria Deldén serves as Associate Senior Lecturer and Program Manager for the Subject Teacher Program at Mid Sweden University's Department of Humanities and Social Sciences. Holding a Doctor of Philosophy from Umeå University, she integrates extensive high school teaching experience in history, Swedish, and Spanish with academic research since 2014. Education: Doctor of Philosophy (2017), Umeå University: Dissertation 'Perspectives on historical film literacy: a didactic study of high school students' historical and emotional meaning-making in the encounter with film' Licentiate of Philosophy (2014), Umeå University: Thesis 'History as Fiction: High School Students' Experience of Feature Films in History Teaching' Her research centers on practical history didactics, non-formal learning in international contexts, and motivation dynamics in education. Current projects examine sustainability perspectives in history teaching and Colombian non-formal learning models through Surcolombiana University collaboration. She analyzes student meaning-making through historical films, metaphors, and empathy frameworks while developing teacher-student interaction strategies to enhance motivation. Recent publications (2023-2024) reveal thematic convergence around narrative analysis in conflict zones (Jerusalem studies), metaphorical frameworks in non-formal learning, and empathy development in historical education. International collaborations dominate her output, particularly with Colombian institutions exploring resocialization and peace education, demonstrating consistent integration of global perspectives into Swedish teacher training contexts. Active in supervising teacher education programs and developing educational science courses focused on didactics and leadership, Deldén contributes to VFU (practical teaching) supervision and curriculum development. Her work bridges theoretical research with classroom implementation through ongoing partnerships with Colombian universities and Swedish teacher training programs. She participates in research teams examining non-formal learning through idea-based organizations, particularly via the Surcolombiana University collaboration. This international network investigates how community-based educational models can transform formal teacher education, with emphasis on conflict resolution and sustainable development frameworks.
Francesco Zanichelli is an Associate Professor at the Department of Engineering and Architecture, University of Parma, where he teaches Information Systems for Master's in Computer Engineering and Operating Systems for Bachelor's in Computer, Electronics, and Telecommunications Engineering. He also teaches Industrial Software Development Technologies in Information Systems Engineering. PhD in Information Technology (University of Parma, thesis: Programming Autonomous Robots) Industrial Robotics experience (IBM Fellow) Mobile Robotics research (University of Florida) His research spans: Intelligent robotic systems: software architectures, sensor-based interaction, real-time scheduling algorithms Distributed systems: peer-to-peer middleware, cloud-IoT integration, predictive maintenance Location-based services: blockchain-secured privacy, network-aware distribution Performance evaluation via simulation, PlanetLab testbed, and prototyping He leads the DSG distributed systems research group and participates in national/international projects (FP7, NATO, CNIT). He co-founded spin-offs for vehicle multimedia systems (Etheria Srl) and digital payment solutions (Simplycity Srl).
Eline Visser is a Research Fellow at Uppsala University's Department of Linguistics, funded by the Wenner-Gren Foundations. She specializes in the endangered languages of eastern Indonesia, particularly Kalamang (Papuan) and Uruangnirin (Austronesian), and leads the Mapping Bomberai project (2024-2026) documenting understudied languages of the Bomberai peninsula. Her work bridges academic research with community-led language preservation initiatives. Her educational background includes: PhD in Linguistics from Lund University (2020), with a dissertation on Kalamang grammar Visser's research centers on language documentation and typology, with deep expertise in Austronesian and Papuan languages of eastern Indonesia. She investigates grammatical relations, narrative structures, prosody, and language contact phenomena through rigorous fieldwork. Her methodological contributions include integrating legacy materials with new field data and developing mobile dictionary apps for community use. She actively engages with ethical considerations in language documentation and promotes digital tools for endangered language preservation. Her publications from 2015-2025 reveal consistent focus on eastern Indonesian languages, particularly grammatical relations in Kalamang/Uruangnirin and methodological innovations in field linguistics. Key trends include the interplay between legacy data and new fieldwork, narrative analysis in Papuan languages, and applying computational approaches to language documentation. Her collaborative work spans syntax, phonology, and discourse analysis across diverse language families. Her scientific recognition includes: Wenner-Gren Fellowship for the Mapping Bomberai project Visser leads the Wenner-Gren-funded Mapping Bomberai project (2024-2026), supporting fieldwork on multiple Bomberai peninsula languages including Bedoanas, Erokwanas, Geser-Gorom, and Mbaham. She collaborates with researchers from Google on applying large language models to grammar reading and audio processing, and supports Wancho language documentation in India. Her community-oriented work includes developing mobile dictionary apps for Kalamang and Uruangnirin speakers. She is an active member of the 'Serial Verb Constructions across modalities' research group at the University of Amsterdam and previously contributed to the 'Where does grammar come from?' group. Her earlier work included the ExSynOp project at UiT The Arctic University of Norway on Scandinavian prosody, demonstrating her cross-linguistic research scope.
Mile Katic is a Lecturer in Innovation Management at the University of Technology Sydney (UTS) Business School. His work bridges theory and practice in technology and innovation management, operations management, and strategic management. He holds a PhD and Master's from UTS, along with a Bachelor's in Engineering from the University of Western Sydney. His research focuses on industrial energy efficiency, organizational ambidexterity in high-variety manufacturing, and strategic decision-making under uncertainty. Collaborations include government agencies like DIIS and universities such as Technical University of Berlin. Key areas of exploration include Industry 4.0 applications for energy productivity, frameworks linking energy efficiency to production resources, and dynamic capabilities in global value chains. His funded research includes projects on anaerobic digestion for energy displacement, Industry 4.0 adoption in Australia, and strategic positioning during technology convergence. He contributes to academic service through conference organizing (e.g., EUROMA, PICMET) and peer reviewing for journals like IEEE Transactions on Engineering Management and Australasian Conference on Information Systems. Teaching spans innovation management, operations strategy, judgment and decision-making, and project management. Courses include 'Dynamic Managerial Capabilities' and 'Quality Planning and Analysis,' demonstrating his commitment to translating research into pedagogy.
Pamela Meredith serves as Professor and Discipline Lead of Occupational Therapy within the School of Health at the University of the Sunshine Coast (UniSC), Queensland, Australia. She maintains an honorary appointment as Associate Professor at The University of Queensland (UQ). With over 120 publications and an h-index of 28 (Scopus), Meredith demonstrates significant scholarly impact in occupational therapy research. Her leadership extends to directing the ConnectPlayLearn research partnership and contributing to multiple funded research initiatives focused on trauma-informed care and sensory approaches. BOccThy (1982–1986), University of Queensland BSc (Psychology) (1992–1995), University of Southern Queensland (Deans Commendation) BA (Hons) Psychology (1997–1998), University of Queensland PhD (2002–2006), University of Queensland (Deans Commendation) Meredith's research program investigates how childhood experiences shape lifelong physical and mental health outcomes, with particular emphasis on attachment theory and sensory processing patterns. Her work spans four interconnected domains: parenting and child trauma, persistent/chronic pain, mental illness with substance use, and palliative care with grief/loss. This research informs clinical reasoning and therapeutic processes across prevention, early intervention, and evidence-based practice. Her innovative Sense of Safety theoretical framework provides a trauma-informed approach to whole person care that bridges multiple disciplines. Analysis of Meredith's recent publications reveals a strengthening focus on implementation science and co-design methodologies to translate sensory and attachment-informed approaches into clinical practice. Her work increasingly addresses cultural safety, particularly through yarning methodologies with First Nations communities, while maintaining core investigations into sensory processing across lifespan contexts from infancy through dementia care. The interdisciplinary nature of her research is evident in collaborations spanning occupational therapy, psychology, nursing, and allied health fields. 2024 - UniSC School of Health Research Excellence Award 2021 - Fellow of Occupational Therapy Australia Research Academy (FOTARA) 2019 - CQUniversity Commendation for Research Higher Degree Supervision Multiple University of Queensland teaching and supervision awards (2009-2017) 2006 - UQ Dean's Commendation for Outstanding PhD Thesis Meredith has supervised 55 honours students, 19 PhD candidates, and 1 MPhil student to completion while currently advising 12 HDR students. Her research program attracts significant competitive funding including a Dementia Australia Research Foundation Grant ($50,000), Mamré Association Inc. funding ($77,000), and Physiotherapy Research Foundation Seeding Grant ($10,000). Current projects include 'Reaching Pawtential' (canine-assisted therapy for dementia), 'The road less travelled' (dementia-friendly travel), and 'Diagnosis of young children with FASD', demonstrating both clinical relevance and methodological diversity across implementation trials, co-design studies, and systematic reviews. Meredith leads the ConnectPlayLearn research concentration in partnership with Mamré, developing evidence-based training for therapists and parents. Her work with the International Occupational Therapy Attachment and Trauma Network fosters global collaboration on trauma-informed practice. Through the Occupational Therapy Australia Research Academy fellowship, she contributes to national research capacity building while maintaining active clinical connections that ensure her research remains grounded in real-world practice challenges across mental health, pain management, and developmental contexts.
Dr. Rejwanul Haque is a Lecturer in the Department of Computing at South East Technological University (SETU), Carlow, Ireland. He holds a PhD in Computer Science and Engineering from Dublin City University (DCU), where he was supported by an SFI PhD Fellowship (2008–2011). His career spans industry and academia: he contributed to MT systems at Lingo24 and Applied Language Solutions, developed cloud-based MT solutions like SmartMATE, and led industry-oriented research at ADAPT Centre for Huawei Noah’s Ark. He was a Research Fellow at ADAPT (2019–2021) with Marie Sklodowska-Curie Fellowship funding, and Programme Director for MSc AI at National College of Ireland (2020–2022). His research focuses on AI, NLP, and machine translation challenges, including low-resource translation, ethical MT use, and adaptive systems. He has published 70+ peer-reviewed papers and collaborates with institutions like DCU, Trinity College Dublin, and French universities. He currently supervises two PhD students at SETU and secured funding for SETU’s PhD programme. Education: PhD in Computer Science and Engineering (Dublin City University, 2011) Research Interests: Dr. Haque’s work addresses cutting-edge NLP topics such as interactive machine translation, fairness in AI, domain adaptation, and sustainable MT models. He explores applications in biomedical translation, social media analytics, and question-answering systems. His recent projects include developing adaptive MT systems using large language models and improving low-resource language translation through novel techniques. Grants & Collaborations: He secured €189,924 via a Marie Sklodowska-Curie Fellowship and attracted SETU PhD scholarships (2023–2024). Collaborators include Microsoft Ireland, ADAPT Centre, and researchers from University Saint-Etienne, La Rochhelle University, and TCD. His work on the Citizen’s Assembly for COVID-19 earned the ADAPT Recognition Award (2020). Labs/Teams: Active contributor to the ADAPT Centre’s NLP initiatives and collaborates with DCU’s MT group. Engages in cross-institutional projects with French academic partners to advance multilingual systems and ethical AI practices.
Dr. Gordon Wright is a Lecturer in Psychology at Goldsmiths, University of London, researching deceptive behaviors, interpersonal perception, and investigative methodologies. His work examines: Cognitive/social processes in deception Antisocial behavior prediction Ecological perspective-taking Investigative interviewing efficacy Wright's research has been funded by security organizations including the Centre for Protection of National Infrastructure and College of Policing. He developed the interactive Deceptive Interaction Task (DeceIT) methodology and contributes to BBC science programming.
Prof. Manfred Reichert is a full professor at the University of Ulm, serving as Director of the Institute of Databases and Information Systems and Dean of Studies at the Faculty of Engineering and Computer Science. He holds dual expertise in Computer Science and Mathematics, with academic leadership roles including chairing examination boards and strategic research initiatives. His interdisciplinary affiliations include co-opted membership in the Faculty of Mathematics and Economic Sciences. Reichert's research focuses on Business Process Management (BPM), IoT-driven processes, service-oriented architectures, and e-health applications. Notable contributions include co-developing the ADEPT process management system and pioneering object-centric process modeling. He has led over 20 international research projects (EU FP7, DFG, Industry) and authored >200 peer-reviewed papers, earning an h-index of 60+ and prestigious awards like the Merckle Forschungspreis. Education: PhD in Computer Science & Mathematics Diploma Leadership: Former associate professor at University of Twente, former director of CTIT research center Service: Conference chair for BPM, CoopIS, EDOC; steering committee member for GI SIG Databases Recent work explores IoT integration in BPM, generative AI for process models, and neuroscience-informed usability studies. His research bridges technical innovation with human-centric design, addressing challenges in process lifecycle management, federated learning, and mobile health interventions. Awards: IFIP TC2 Manfred Paul Award, doIT Software Award Key Projects: BPMN extensions for IoT, data-driven healthcare solutions
Eman AlOmar is an Assistant Professor in the Department of Systems and Enterprises at Stevens Institute of Technology, affiliated with the Charles V. Schaefer, Jr. School of Engineering and Science. She holds a PhD in Computing and Information Sciences from Rochester Institute of Technology (2021). Her research focuses on the intersection of Software Engineering (SE) and Artificial Intelligence (AI), emphasizing software quality, refactoring, maintenance, technical debt, empirical studies, and mining software repositories. Education: PhD in Computing and Information Sciences (Rochester Institute of Technology, 2021). Research Interests: Software Maintenance & Evolution Empirical Software Engineering Mining Software Repositories Code Refactoring and Documentation Technical Debt Management AI Applications in Software Development Awards: 2024 Jess H. Davis Memorial Award for Research Excellence 2024 Best Mining Challenge Paper Award at MSR 2023 Distinguished Doctoral Research Award at MSR 2022 Best Reviewer Award at Journal of Systems and Software Grants: Co-PI on NSF DUE grant (2022-2025) to cultivate performance-aware software engineers, totaling $299,754. Teaching: Courses include Artificial Intelligence for Software Engineering, Software Testing & Quality Assurance, Object-oriented Software Engineering, and Informatics.
Milton Halem is a Research Professor in the Department of Computer Science and Electrical Engineering at the University of Maryland, Baltimore County (UMBC), affiliated with the College of Engineering and Information Technology. He also holds an Emeritus position as Chief Information Research Scientist at NASA Goddard Space Flight Center's Earth Sciences Directorate. His expertise spans machine learning, quantum computing, atmospheric science, and climate modeling. Halem's research focuses on integrating AI with environmental systems, including wildfire digital twins, planetary boundary layer estimation, and climate forecasting. Key research interests include applying deep learning to wildfire prediction, developing quantum algorithms for optimization, and advancing climate observation systems. His work bridges disciplines like remote sensing, cybersecurity, and geophysical data analytics. Awards include NASA's Exceptional Scientific Achievement Medal (2022), Outstanding Leadership Medal (2018), and the Distinguished Service Medal (1996). Affiliations: UMBC CSEE, NASA Goddard (Emeritus) Notable Projects: Wildfire Digital Twin Initiative, SOAR atmospheric radiances system, AI-enhanced air quality forecasting Publications emphasize machine learning applications in climate science, quantum computing, and environmental monitoring. Collaborations include NASA, NOAA, and academic partners worldwide. Current projects explore AI-driven climate models and real-time wildfire impact assessment systems.
Ioannis Kotidis is an Associate Professor in the Department of Informatics at the Athens University of Economics and Business (AUEB), School of Information Sciences and Technology. He holds a Diploma in Electrical and Mechanical Engineering from the National Technical University of Athens (1995), and Master's and Ph.D. degrees from the University of Maryland (1997, 2000). Prior to joining AUEB, he worked as a Senior Technical Specialist at AT&T Labs-Research in Florham Park, New Jersey until January 2006. His research spans multiple areas of database systems with particular focus on On-Line Analytical Processing (OLAP) and data warehousing, data mining, sensor/P2P networks, mobile data management, data fusion & dissemination, data streams, RFID data management, approximate query answering, and database preservation . His work bridges theoretical foundations with practical implementations, as evidenced by numerous publications in top-tier database conferences and journals. Professor Kotidis leads several significant research projects including RECOST (REal time management of COmplex STreams), DBSENSE (Information Management in Wireless Sensor Networks), INFORE (Interactive Extreme-Scale Analytics and Forecasting), and DeLorean (Storage, Indexing and Analysis Techniques for Time-Series Management). His recent work focuses on blockchain applications for decentralized OLAP processing, complex event processing frameworks, and advanced techniques for managing complex data streams. Among his notable achievements is the best paper award at the ACM SIGMOD International Conference on Management of Data for his work on DynaMat: A Dynamic View Management System for Data Warehouses. His publications consistently address challenging problems in database systems with innovative approaches that have influenced both academic research and practical implementations. He has supervised numerous undergraduate theses on topics including blockchain-based OLAP view management, complex event processing using FlinkCEP, and graph similarity learning. His research has attracted significant funding through various research programs at AUEB, including Basic Research Funding Programs 1 & 2.
