Dr. Jozef Goetz is a Professor of Computer Science at the University of La Verne, affiliated with the College of Arts and Sciences. His work focuses on software engineering, cybersecurity, educational technology, and mobile applications. He has contributed to systems such as course management frameworks, geospatial meteorology tools, and expert systems for academic advising. Dr. Goetz has also explored mobile application performance optimization and cross-platform development strategies. Research interests span from foundational areas like concurrency modeling using Petri Nets to applied domains such as CRM systems and e-commerce validation. His projects emphasize practical implementations addressing real-world challenges in education, security, and enterprise software development.
Rita Kuo is a Visiting Assistant Professor in the Department of Computer Science and Engineering at New Mexico Institute of Mining and Technology (New Mexico Tech), where she teaches foundational and advanced courses in computer science, including Python programming, object-oriented programming, web development, and human-computer interaction. She holds a Ph.D. in Electronic Engineering from Chung-Yuan Christian University, Taiwan, and has prior academic experience at Mingdao University and Knowledge Square, Inc. Ph.D., Electronic Engineering, Chung-Yuan Christian University (2007) M.S., Information and Computer Engineering, Chung-Yuan Christian University (2002) B.S., Information and Computer Engineering, Chung-Yuan Christian University (2000) Her research focuses on innovative educational technologies, especially game-based learning, mobile and ubiquitous learning, automatic item generation, and intelligent tutoring systems. She explores how gamification, cognitive theory, and AI can enhance student engagement and learning outcomes. Her work integrates computational intelligence with pedagogical design to create adaptive and motivating learning environments. The most recent publications highlight trends in educational game design, learning analytics via Moodle plugins, gamified reward systems, and tools for improving cybersecurity awareness. These works emphasize usability, student engagement, and the integration of cognitive and motivational theories into digital learning platforms. Her scientific contributions have been recognized with awards including the Best Technical Design Paper Award at GCCCE 2018 and an Excellent Paper Award at the International Conference on Technology in Education (2018). Best Technical Design Paper Award, GCCCE 2018 Excellent Paper Award, International Conference on Technology in Education, 2018 Rita Kuo has led and co-led multiple research grants, including projects funded by Google CSR, New Mexico Department of Transportation, and the Computing Research Association. She mentors undergraduate and graduate students in research related to educational technology, gamification, and learning analytics. Her leadership extends to professional service as Vice Chair in Equity, Diversity & Inclusion for IEEE TCLT and Chair of the Educational Gamification SIG in APSCE. She is actively involved in the development of platforms such as GRACE (annotation and clustering), ICER (in-game rewards), and ERIC API, and leads the design of educational games like MEGA World. Her current research emphasizes behavior analytics, mobile learning tools, and inclusive educational technologies.
Rocco Oliveto is a Professor in the Department of Computer Science at the University of Salerno, Italy, with a distinguished research career spanning over two decades in empirical software engineering. His work bridges theoretical software engineering principles with practical applications, with recent expansion into healthcare informatics and machine learning applications. His research interests focus on code quality assessment, software maintenance practices, developer behavior analysis, and empirical studies of software engineering phenomena. He has made significant contributions to understanding code smells, bug prediction, API compatibility issues, and more recently, container technologies and smart contract analysis. His recent work demonstrates a strategic expansion into healthcare applications, leveraging software engineering techniques for medical diagnostics and rehabilitation systems. Oliveto's publication pattern shows consistent productivity with multiple high-impact publications each year across top venues including IEEE Transactions on Software Engineering, ACM Transactions on Software Engineering and Methodology, and Empirical Software Engineering journal. His recent articles (2023-2025) reveal a growing interest in applying software engineering techniques to healthcare domains while maintaining strong contributions to core software engineering topics. The research demonstrates sophisticated methodological approaches combining empirical studies with machine learning techniques. His collaborative network includes prominent researchers such as Simone Scalabrino, Gabriele Bavota, and Andrea De Lucia, with whom he has co-authored numerous high-impact publications. This collaboration spans both traditional software engineering topics and emerging interdisciplinary applications in healthcare.
Fabio Petrillo is an Associate Professor in the Department of Software Engineering and IT at École de Technologie Supérieure (ÉTS), Canada, since 2020. His research focuses on improving software engineers' lives through empirical studies and innovative techniques. Education: PhD in Computer Science (2016) and Master in Computer Science (2009) from Federal University of Rio Grande do Sul; Electrical Engineer (2001) from the same institution. Postdoctoral Fellow at Concordia University (2018). His research spans Empirical Software Engineering , Software Quality , Debugging , and Software Engineering for Computer Games . He pioneered Swarm Debugging , a collaborative debugging approach. His publications highlight trends in debugging techniques , cloud API compliance , and stream processing frameworks . He has contributed to datasets and models addressing software engineering challenges, though no formal scientific awards are mentioned. His work often involves collaborations with institutions like Concordia University and ÉTS.
André Leal Santos is an Assistant Professor at ISCTE - Instituto Universitário de Lisboa, affiliated with the Department of Information Science and Technology (ISTA) and the ISTAR-Iscte research center. He holds a PhD in Computing from the University of Lisbon (2009), co-supervised with Tampere University of Technology, and a Bachelor's degree in Computing from the same institution. His research focuses on the human aspects of software development, particularly in programming education and API usability. Key areas include pedagogical tools, automatic assessment systems, projectional editors, domain-specific languages, and software maintenance. He has developed tools like PandionJ, a pedagogical debugger for Java, and authored a digital book on Kotlin programming. His recent publications reflect a consistent focus on improving developer and learner experiences through innovative software tools and educational methodologies. Themes include API learning support, automated component integration, programming pedagogy, and empirical studies on software development practices. Scientific engagement highlights: Visiting researcher at Carnegie Mellon University (2014) under CMU-Portugal program with Brad Myers Visiting researcher at Aalto University (2020) with Lauri Malmi in LeTech Organizer of ICPEC’24 Program Committee member for ITiCSE, Koli Calling (2017–2023), SPLASH-E’24 Member of the International Committee of the SIGSCE Technical Symposium Participant in the Dagstuhl Seminar on Notional Machines He advises PhD students Afonso Caniço and Ricardo Miranda, and has supervised MSc students. His work bridges academic research and practical applications in both educational and professional software development contexts. He is actively involved in open-source development, with projects hosted on GitHub, and maintains a strong presence in the computing education research community.
Neena Sathi is a Lecturer in the Department of Information Systems at the Paul Merage School of Business, University of California, Irvine (UCI). She brings over 30 years of industry experience in artificial intelligence, analytics, and automation, and contributes to both academic instruction and applied AI development. Education: MBA, University of Pittsburgh MS in Chemical Engineering, University of Illinois, Chicago MS in Physics, Northwestern University Her research and professional interests center on Artificial Intelligence , Advanced Machine Learning , Conversational AI , and Analytics . She focuses on translating AI prototypes into production systems across industries including healthcare, telecommunications, retail, and public services. Her work emphasizes practical implementation, integration architecture, and cognitive technologies. The selected publications reflect a strong trend in applied AI, spanning venues like AAAI, IEEE, IBM Developer Works, and World of Watson. These works cover subfields such as natural language processing, enterprise AI, cloud integration, and intelligent automation, demonstrating a consistent focus on deploying AI in real-world business and technical environments. Scientific Awards and Certifications: Master Certified Integration Architect (IBM and Open Group) Certified Project Management Professional (PMP) Certifications in Cloud and Cognitive Technologies Neena Sathi has held leadership roles in AI innovation, including as Director at KPMG Lighthouse Labs and Principal at the Applied AI Institute. She develops hands-on training content and interactive solutions for AI and automation topics. While no formal student advising is mentioned, her educational contributions through lectures and training materials indicate a strong pedagogical impact. She is actively involved in AI solution development, bridging academic knowledge with industry application, and drives initiatives in AI integration, digital transformation, and cognitive computing.
Carles Farré Tost is an Associate Professor at the Universitat Politècnica de Catalunya (UPC), affiliated with the Facultat d'Informàtica de Barcelona (FIB) and the Departament d'Enginyeria de Serveis i Sistemes d'Informació. He leads research in software engineering, data engineering, and information systems through the inSSIDE and GESSI groups. His work focuses on agile methodologies, software quality, data-driven decision-making, and green AI. With over 92 professional activities, including 39 conference presentations and 17 competitive R&D projects, he has contributed to tools like QaSD and GLiDE for education and industry. Notable awards include the Best Forum Paper Award at RCIS 2023 and the Best Paper Award at CIbSE 2021. His research spans decades, from foundational database query validation (CQC method) to modern applications in gamified learning dashboards and sustainability in AI. Research Interests: Software Engineering: Agile development, quality assurance, and team-based project management Data Engineering: Schema validation, data-driven decision-making frameworks, and API design Green AI: Investigating environmental impacts and ethical considerations in AI systems Educational Technology: Tools for learning analytics and collaborative software education Grants & Projects: "Human-centred collaborative framework for accelerating software development" (2024) "Transición hacia sistemas de software verdes basados en IA" (2023) "Digital and Emerging Technologies for Competitiveness" (EU-funded, 2021) Lab/Teams: Active contributor to the inSSIDE (integrated Software, Services, Information and Data Engineering) and GESSI (Group of Software and Service Engineering) research groups at UPC.
Petar Jovanovic is a researcher at the Department of Service and Information Systems Engineering within the Barcelona School of Computer Science at Polytechnic University of Catalonia (UPC). His work focuses on Big Data management , data governance , and user-centered data integration platforms . PhD (2016) from UPC and Université Libre de Bruxelles Software Engineering degree from University of Belgrade Jovanovic created the Quarry platform, enabling non-technical users to perform data analysis for global health initiatives like WHO disease eradication programs. His 2017 SCIE/BBVA award recognized innovations in applying Big Data to combat diseases such as Chagas in underprivileged countries. Recent research emphasizes: Knowledge graph-based data governance frameworks (2024) Web API evolution prediction models (2024) Automated FAIR data lifecycle systems (2023-2024) He has co-authored 15+ high-impact publications and holds one patent as primary innovator. His work spans European Union research programs and WHO collaborations.
Raul Castro Fernandez is a prominent researcher in data management and database systems, with a focus on data discovery, integration, and marketplaces. He has collaborated extensively with leading institutions and researchers, contributing to projects like Data Station and Nexus for secure data sharing. His work bridges theoretical innovation with practical implementations in cloud optimization, differential privacy, and LLM-driven data tools. Key Contributions : Data market frameworks, LLM applications in databases, differential privacy platforms Collaborators : Yue Gong, Samuel Madden, Michael Stonebraker, Eugene Wu, Kyle Chard Research Themes Fernandez explores automated metadata management for data catalogs, spatiotemporal data sharing with privacy guarantees, and LLM-based data discovery . His work on stateful stream processing (e.g., SABER system) and cost optimization in cloud analytics shows technical depth. Recent Trends 2023-2025 publications highlight his pivot toward LLM applications in data management, including tabular data representation and hypothesis assessment tools. He also investigates sustainability in HPC through carbon credit systems.
Eric Horvitz is a distinguished researcher at Microsoft Research in Redmond, WA, with an extensive publication record spanning over three decades in artificial intelligence and related fields. His work demonstrates deep engagement with both theoretical foundations and practical applications of AI technologies. Horvitz's research interests encompass a broad spectrum of AI domains, with particular emphasis on human-AI collaboration , medical informatics , uncertainty reasoning , and ethical considerations in AI development . His scholarly contributions reveal a consistent focus on creating AI systems that augment human capabilities rather than replace them, with numerous publications exploring the complementary relationship between humans and AI systems. Analysis of his recent publication trends (2023-2025) shows a significant shift toward investigating large language models in practical contexts, particularly in healthcare applications and collaborative work environments. His work often bridges multiple disciplines, combining insights from computer science, cognitive psychology, and domain-specific knowledge to create more effective AI-human partnerships. ACM - AAAI Allen Newell Award (2015) Horvitz has established a robust collaborative network, frequently working with researchers across Microsoft Research and external institutions. His medical AI publications suggest substantial involvement in healthcare-focused research initiatives, likely supported by significant grants from both private and public sources. His work on human-AI teaming indicates leadership in developing frameworks for effective collaboration between humans and AI systems across various domains. His research appears to be conducted within Microsoft Research's broader AI initiatives, with particular emphasis on practical applications that address real-world challenges while carefully considering ethical implications, human factors, and societal impacts of emerging AI technologies.
Sławomir Zieliński is a Lecturer at the Institute of Computer Science within the Faculty of Computer Science at AGH University of Science and Technology in Kraków. His academic role involves teaching and research focused on cloud technologies and educational informatics. He maintains an office at D-17, ul. Kawiory 21, and can be contacted via email at slawek@agh.edu.pl or phone at +48 12 328 33 77. Zieliński's research explores intersections between cloud computing and educational technology, particularly: Cloud-native applications and serverless architectures for environmental monitoring Automated orchestration of educational services in cloud environments IoT-enhanced collaborative learning platforms Software-defined networking optimizations Remote teaching methodologies and pandemic-responsive education systems Performance evaluation frameworks for distributed systems His work demonstrates consistent innovation in adapting cloud infrastructure to educational challenges. Recent publications (2015-2024) reveal strong thematic focus on cloud-based educational technologies, distributed systems optimization, and pandemic-era teaching solutions. Dominant research threads include: Cloud infrastructure for remote education (6+ publications) Performance evaluation methodologies for networks and cloud services (4 publications) IoT integration in educational ecosystems (3 publications) Serverless computing applications in environmental systems
Hakkı ÇILGINOĞLU is an Assistant Professor at Kastamonu University's Faculty of Tourism, Department of Gastronomy and Culinary Arts, where he has been employed since 2019. He currently serves as Assistant Dean (since 2024), Head of Department (since 2020), and Head of Academic Discipline (since 2021). His academic work focuses on the intersection of gastronomy, tourism law, and tourism management, with particular emphasis on regional culinary heritage and health tourism. His educational background includes: PhD in Business Administration from Kastamonu University (2018) Master's in Public Administration from Sakarya University (2013) BA in Political Science and Public Administration from Anadolu University (2002) Dr. ÇILGINOĞLU's research primarily explores gastronomy tourism, regional culinary heritage, and the legal aspects of tourism. His work examines how traditional foods can be leveraged for tourism development, particularly focusing on Kastamonu region's culinary identity. He has conducted significant research on health tourism applications including speleotherapy and sound therapy, as well as exploring the relationship between religious tourism and local communities. His recent work increasingly incorporates AI applications in tourism education and analyzes gluten-free dietary trends within tourism contexts. His publication record shows strong growth since 2018, with increasing international collaborations and publications in both Turkish and international journals. The research demonstrates a clear progression from foundational tourism studies to more specialized areas like health tourism, gastronomy branding, and the application of technology in tourism education. Dr. ÇILGINOĞLU has successfully supervised seven graduate students through thesis completion and has led three research projects including 'Development of Valla Canyon as a Touristic Product' and 'Gastronomy Bridge from High School to University.' His work demonstrates strong regional engagement with Kastamonu's tourism development while maintaining international scholarly connections.
Dr. Qicheng Yu is an Associate Professor (Enterprise) at the School of Computing and Digital Media, London Metropolitan University. As Subject Standard Board Chair of Computer Science and Applied Computing, he leads the Data Analytics MSc and Information Technology (Distance Learning) MSc programs. His research spans AI, cyber security, and big data, with a focus on practical applications in education, finance, and urban development. His research interests include Artificial Intelligence , Machine Learning , and Cyber Security , with projects ranging from fraud detection to student performance prediction. Recent work highlights multimodal data analysis for fake review detection and data dashboard development for business intelligence. Fellow of the Higher Education Academy (FHEA) Member of Data Science Association and Cyber Security Systems Research Centre Recipient of Innovate UK grants (2022: £131,296; 2019: £19,200; 2015: £115,000) He supervises PhD students in data science and AI , while contributing to cross-disciplinary initiatives like the Empowering London Lab and SME cyber security clinics.
Carlos Guestrin is the Fortinet Founders Professor of Computer Science at Stanford University, Director of the Stanford AI Lab (SAIL), and Senior Fellow at the Stanford Institute for Human-Centered AI (HAI). He also serves as Chief Scientist at Visual Layer and Virtue AI, and is a Member of the National Academy of Engineering. His research centers on Machine Learning Methods, Explainability, Fairness & Ethics of AI, and Machine Learning Systems. He develops interpretable and reliable models, addresses algorithmic fairness, and builds efficient large-scale ML systems through frameworks like XGBoost. His work bridges theoretical rigor with real-world applications in healthcare and human-centered AI. His recent publications (2023–2025) demonstrate leadership in generative AI evaluation, model reliability, and ethical frameworks. Key trends include developing live benchmarks for research synthesis, on-device calibration techniques, multi-objective optimization with constraints, and societal impact assessment tools—showcasing a trajectory from foundational ML systems to responsible AI deployment. Honors include: Member of the National Academy of Engineering Details about his advising and grant activities were not provided in source materials, though his leadership roles indicate extensive mentorship and funding oversight. As Director of SAIL, he shapes one of the world’s premier AI research centers, while his HAI fellowship drives interdisciplinary initiatives ensuring AI advances human welfare. His industry roles at Visual Layer and Virtue AI translate academic research into practical AI solutions.
Prof. Dr. Andreas Johannsen is a Professor of System Development and Integration at the Brandenburg University of Technology (FH Brandenburg) in Germany. He serves as the Managing Director of the Institute for Business Application Systems (IBAW) and has been actively involved in teaching, research, and industry collaboration since joining the university in 2006. His academic journey includes an MBA from the University of Edinburgh (1993-1994) and Business Administration studies at Eberhard Karls University Tübingen (1991-1993). Prior to his academic career, he accumulated substantial industry experience at SAP Deutschland, Mummert Consulting, and KPMG Consulting/BearingPoint, bringing practical insights to his academic work. Member of the IPv6 Council at the Hasso-Plattner-Institute since 2014 Board member of the Computer Science Department Conference (2014-2016) Managing Director of the Institute for Business Application Systems since 2011 Practical Affairs Representative for Business Informatics since 2009 Professor Johannsen's research spans system development and integration, business application systems, and value-oriented corporate management with particular focus on telecommunications and energy supply industries. His recent work emphasizes IT-Governance, Risk and Compliance Management (IT-GRC) for small and medium enterprises, sustainable logistics solutions using machine learning, and security challenges in digital cooperation. His publication pattern reveals consistent contributions across multiple domains with recent emphasis on: ERP system implementation methodologies and evaluation IT security frameworks for resource-constrained organizations Machine learning applications for sustainable logistics optimization Cloud computing and cooperative business models for SMEs API security and IoT security vulnerabilities Digital sovereignty concerns in business contexts Professional Contributions Professor Johannsen has led numerous research projects including the development of the reference model 'Service- and Cloud-Oriented Architectures for Storage Management' (DICAS) with Berliner Verkehrsbetriebe (BVG) in 2017, Business Process Management implementation with Brandenburg's Central IT Service Provider (2013-2014), and multiple studies on ERP system performance in various business contexts. Teaching and Academic Leadership He has taught a wide range of courses including Information Management, ERP Reporting, Project and Risk Management, and Value-Oriented IT Management. His teaching approach integrates theoretical foundations with practical applications, drawing from his extensive industry experience. He has served in various academic leadership roles including program director for Business Informatics master's and bachelor's programs and as a member of the department council. Research Infrastructure Professor Johannsen leads the 'Process Integration and ERP Systems' competence field which maintains ERP laboratories at FH Brandenburg featuring various ERP installations, particularly SAP and Microsoft systems. This infrastructure supports hands-on teaching and applied research on enterprise systems implementation and integration.
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