Dr. Ian Spooner is a Professor in the Department of Earth and Environmental Science at Acadia University, where he has worked for 31 years. His research focuses on environmental change, surface water-groundwater interactions, and contamination assessment across eastern Canada. Ph.D. in Geoscience (University of Calgary, 1994) M.Sc. in Geology (Queen's University, 1988) B.Sc. (Honours) in Geology (Queen's University, 1984) His scholarly work spans three decades, with recent publications highlighting mercury contamination in seabird soils, sediment dewatering techniques, and paleolimnological tools for pollution assessment. He has developed tidypaleo , an R package for visualizing environmental archives. Key research trends include industrial pollution impacts on coastal ecosystems, long-term contamination records in lake sediments, and geological responses to climate change. His work bridges field studies with computational methods for environmental data analysis. Distinguished Service Award (Atlantic Geoscience Society) 2020 Acadia Faculty Award for Excellence in Teaching 2022 Donald Stanley Award (Canadian Society for Civil Engineering) As Manager of the Morton Centre and coordinator of the M.Sc. Applied Geomatics program, he leads collaborative projects in Nova Scotia, Newfoundland, and British Columbia. Funding sources include NSERC grants and industry partnerships.
Liuba Shrira is a Professor of Computer Science at Brandeis University, affiliated with the Michtom School of Computer Science and the Benjamin and Mae Volen National Center for Complex Systems. Her research focuses on distributed systems, storage systems, blockchain technology, concurrent programming, and system architectures. She holds a Ph.D., M.S., and B.S. from the Technion – Israel Institute of Technology. Her work emphasizes reliable and highly available systems, including innovations in snapshot management, transactional memory, and adversarial cross-chain commerce. She has been recognized with awards such as the ACM Distinguished Scientist (2009), Lady Davis Fellowship (2010-2011), and a Best Paper Award (2020). Her research has been supported by grants from the National Science Foundation and other institutions. Recent publications highlight advancements in optimistic concurrency control, blockchain interoperability, and modular past-state systems. Shrira has also contributed to middleware design and distributed computing frameworks, with applications in both academic and industry settings.
Barbara S. Lancho Barrantes is a Senior Lecturer at the University of Brighton's School of Architecture, Technology and Engineering within the Computing and Mathematical Sciences department. She specializes in bibliometrics, scientometrics, and research analytics, with a focus on citation analysis, sustainable development goals, and research integrity. She holds a PhD in Bibliometrics from the University of Extremadura and has received prestigious awards including the Extraordinary PhD Award (2014) and the Responsible Research and Innovation Award (2022). Education includes a Bachelor's in Information Science (First Class Honours, 2006), a Master's in Digital Information Management (2007), and a PhD in Bibliometrics (2012). She is a Fellow of the Higher Education Academy and has held roles at institutions like the University of Leeds and Tecnologico de Monterrey. Research interests span citation dynamics, SDG mappings, and the impact of economic factors on scientific productivity. She leads the LIS Bibliometrics committee and organizes the annual international conference. Recent work includes exploratory factor analysis of SDG indicators and multilingual research dissemination practices. Key Awards: Extraordinary PhD Award, Responsible Research and Innovation Award Professional Affiliations: Chair of LIS Bibliometrics Committee, External Examiner at University of Wolverhampton Supervision Focus: Bibliometric methodologies, data science integration with research metrics Her articles analyze citation flows, SDG contributions, and questionable publishing threats. She advocates for responsible research metrics through workshops and peer-review activities in journals like Scientometrics and Education for Information .
Burke Hales is a Professor in the College of Earth, Ocean, and Atmospheric Sciences at Oregon State University, serving as Chief Scientist for PacWave with expertise in Biogeochemical Oceanography. His research focuses on coastal carbon cycling and ocean acidification dynamics in estuarine and shelf systems. Dr. Hales earned his educational degrees from the University of Washington: BS in Chemical Engineering (1988) MS in Chemical Oceanography (1992) PhD in Chemical Oceanography (1995) His research spans critical oceanographic domains: Ocean-Margin Carbon Cycling: Investigating carbonate chemistry processes in coastal waters and their impacts on acidification and hypoxia Coastal Oceanography: Analyzing physics-biology-chemistry interactions using high-speed sampling systems Mesoscale Surface Processes: Studying surface ocean dynamics through advanced observational techniques Analytical Environmental Chemistry: Developing robust sensors for ocean chemistry measurements Benthic Biogeochemistry: Conducting in situ sediment porewater studies and transport modeling Recent publications (2021-2024) reveal strong emphasis on coastal acidification mechanisms, SOCAT database development, Arctic productivity studies, and biological responses to changing carbonate chemistry. His work integrates field observations with experimental approaches to address anthropogenic impacts on marine systems. No scientific awards were documented in the provided materials. Information regarding student advising and research grants was not specified in available documentation. As PacWave Chief Scientist, Dr. Hales leads wave energy research while maintaining active field programs in coastal upwelling zones and estuaries, utilizing specialized high-resolution measurement technologies for carbonate system analysis.
Jeff Heflin is an Associate Professor in the Department of Computer Science and Engineering at Lehigh University, and Director of the Cognitive Science Program. He holds a PhD from the University of Maryland, College Park, and a B.S. from The College of William and Mary. His research focuses on AI for Data Management, Scalable Reasoning, and Data Exploration, with significant contributions to Semantic Web technologies like SHOE, DAML+OIL, and OWL. Education: Ph.D. in Computer Science, University of Maryland, 2001 M.S. in Computer Science, University of Maryland, 1999 B.S. in Computer Science, The College of William and Mary, 1992 Research Interests: Heflin’s work advances Semantic Web infrastructure, including ontology development, scalable reasoning systems, and data integration. His contributions include foundational benchmarks like LUBM and innovations in entity matching (DAME), table search (StruBERT), and neural-augmented logical reasoning. Awards: Winner of the Billion Triple Challenge (ISWC 2012) Best Paper Award, ISWC 2004 Ruth and Joel Spira Award for Excellence in Teaching (2017) Service & Leadership: Served as Vice-President of the Semantic Web Science Association (SWSA), Editorial Board member of the Artificial Intelligence Journal , and General Chair of ISWC 2017. Active in conference organization (CIKM 2020, COLING 2022) and journal special issues on Semantic Web evaluation. Labs & Collaborations: Leads the Semantic Web and Agent Technologies (SWAT) Lab at Lehigh, focusing on AI-driven data management and scalable reasoning systems. Collaborates on NSF-funded projects like CRISPS (cell-centric image similarity search) and Domain-Agnostic Dataset Search.
Mohammad Sadoghi is a Professor at the University of California, Davis, with former affiliations at Purdue University, IBM T.J. Watson Research Center, and the University of Toronto. His research focuses on distributed systems, blockchain technologies, consensus protocols, and fault-tolerant computing. He has contributed extensively to transaction processing, stream processing architectures, and the integration of edge-cloud systems with blockchain frameworks. Current Affiliation: University of California, Davis Former Affiliations: Purdue University, IBM, University of Toronto Research Interests include consensus algorithms, Byzantine fault tolerance, distributed ledger technologies, and scalable data processing. He has pioneered systems like ResilientDB and ByShard, addressing challenges in global-scale distributed systems and blockchain fabrics. His work bridges theoretical foundations with practical implementations, emphasizing real-world applications in edge computing and hybrid cloud-edge environments. Key publications highlight advancements in consensus protocols, blockchain scalability, and fault-tolerant architectures. Recent trends in his work focus on concurrent consensus mechanisms, DAG-based systems, and secure geo-replication. Contributions span both academic publications and industry-oriented solutions, such as the Bedrock platform for BFT protocol analysis. Grants and advising roles are implied through his extensive research output, though specific grants are not detailed in the provided text. His collaborations include projects on self-curating databases (e.g., L-Store) and systems like SplitJoin for stream processing.
Alin Deutsch is a Professor of Computer Science at the University of California, San Diego (UCSD), specializing in database systems, graph databases, and formal verification. He has contributed significantly to research areas including query optimization, data integration, and privacy-preserving systems. His work spans theoretical foundations and practical implementations, such as the Linked Data Benchmark Council (LDBC) and the TigerGraph database system. He co-authored over 100 papers and has been involved in major conferences like SIGMOD and VLDB. Research interests include graph query processing, parallel computing, data-centric business processes, and automated system verification. Recent work focuses on scalable hybrid analytics and graph databases. Deutsch is also active in database education, co-authoring a paper on UCSD's database curriculum. He has led projects in privacy-aware systems, such as policy-aware location-based services, and contributed to tools like CLIDE for interactive query formulation in service-oriented architectures. His collaborations involve industry partners like TigerGraph and academic institutions globally.
Peter Buneman is a prominent academic affiliated with the University of Edinburgh, UK. His research primarily focuses on databases, data provenance, XML, and semistructured data. He has held significant roles in advancing computational models for data citation, provenance tracking, and distributed systems. Key areas of expertise include database systems, graph algorithms, and collaborative data curation platforms. Buneman's work integrates theoretical foundations with practical applications in pharmacology data, digital libraries, and scientific data management. His contributions to data provenance and citation systems have shaped standards in academic and industrial settings. Notable projects include the Database Wiki platform for collaborative data management and the MITra framework for graph traversal. Buneman collaborates extensively with co-authors like Susan Davidson, Wenfei Fan, and Val Tannen. Publications span 1974–2025, emphasizing methodologies for data integration, distributed computing, and computational biology. His work bridges theoretical computer science with real-world applications in biomedicine and information systems.
Masahiro Ryo is a Professor of Environmental Data Science at Brandenburg University of Technology (BTU) and leads the working group "Artificial Intelligence for Smart Agriculture" at the Leibniz Centre for Agricultural Landscape Research (ZALF). His research integrates machine learning with ecological systems to address global sustainability challenges, focusing on biodiversity, soil health, and AI-driven agricultural solutions. His work spans environmental data science, ecosystem services, and smart agriculture. Key themes include explainable AI for biodiversity monitoring, soil organic carbon prediction, and machine learning applications in ecological modeling. Recent publications highlight trends in environmental AI, with applications in yield mapping, fungal taxonomy, and global change ecology. He emphasizes the integration of ecological theory with deep learning to tackle small-data problems and improve model transferability. Contact: masahiroryo@gmail.com | Personal Website
Roy Jones is a Clinical Professor at the Simon Business School. His expertise spans Health Science Management and Information Systems, focusing on the economics of information systems, electronic business, and health information technology. Before pursuing his PhD, he was a lecturer in the Computer Science Department at Stanford University and founded a relational database consulting firm, collaborating with Fortune 500 companies and startups. His research examines markets for information goods, the impact of development costs on market structures, and healthcare IT’s role in managing patient outcomes. Recent work emphasizes reducing hospital readmissions through health IT solutions. Professor Jones teaches courses in Digital Business Strategy, Health IT & Analytics, and Information Systems for Management. His publications reflect interdisciplinary interests, bridging healthcare outcomes analysis with business strategy and information systems economics.
Dr. Michelle Zhu is a Professor and Associate Director for Faculty and Academic Affairs at the School of Computing, Montclair State University. She previously held roles as Associate Professor and Director of Undergraduate Programs at Southern Illinois University Carbondale. Dr. Zhu holds a Ph.D. in Computer Science from Louisiana State University and a B.S. in Biomedical Engineering from Zhejiang University. Her research focuses on parallel/distributed computing, big data analytics, and high-performance networking, supported by grants from NSF, DOE, and NVIDIA. She has authored over 150 peer-reviewed publications. Education: Ph.D., Computer Science, Louisiana State University (2005) M.Sc., Computer Science, Louisiana State University (2002) B.S., Biomedical Engineering, Zhejiang University (1996) Her research interests span parallel computing architectures, cloud workflow scheduling, and cybersecurity. She has led initiatives integrating computational thinking into STEM education and developed robotics-based learning tools. Her work has been funded through NSF grants such as the $1.1M "Assimilating Computational and Mathematical Thinking into Earth and Environmental Science" project (2017–2022). Dr. Zhu’s articles explore topics like blockchain-based cloud security, GPU-accelerated Gibbs sampling, and edge computing deployment strategies. She actively contributes to academic governance, serving on Montclair State’s Middle States accreditation committee and the University Academic Assessment Council. Key Grants: NSF MRI: Multimodal Collaborative Robot System (MCROS), $321,737 (2021–2024) DOE: Scalable Application Support Platform for E-Sciences, $389,398 (2009–2013) Service Roles: Curriculum Committee Chair, Computer Science Department Blue Ribbon Task Force for Gen Ed Redesign (2019–2020) She collaborates on robotics projects like MCROS and leads outreach efforts to engage pre-university communities in AI and robotics education.
Hiroyuki Okamuro is a Professor and Dean of the Graduate School of Economics at Hitotsubashi University, where he has held academic positions since 1993. He also serves as a visiting research fellow at the National Institute of Science and Technology Policy (NISTEP) and has held international visiting roles, including at the University of Birmingham (UK) and Wissenschaftszentrum Berlin (Germany). His academic leadership extends to managing the Student Support Center and Harassment Consultation Office at Hitotsubashi, and he has directed the Teikoku Databank Center for Advanced Empirical Research on Enterprise and Economy (CAREE). Education: Okamuro earned a B.A. (1984), M.A. (1986), and Ph.D. in Economics (1992) from Hitotsubashi University and the University of Bonn, Germany. His doctoral studies focused on industrial economics under Prof. Horst Albach. Research Interests: He specializes in entrepreneurship, innovation, industrial organization, and small business economics, with a focus on policy evaluation and university-industry collaboration. Key areas include SME innovation dynamics, R&D consortium governance, and regional policy effectiveness in fostering startup ecosystems. Scientific Awards: He received the 63rd Economist Award (2023) for contributions to R&D policy research. His work bridges theoretical and empirical approaches, emphasizing microeconomic data analysis to inform policy. Advising & Grants: Okamuro has led major research projects such as JSPS Kakenhi Basic Research B (2015–2017) and the Volkswagen Foundation study on innovation systems (2007–2011). He advises on grant initiatives like the Teikoku Databank CAREE and collaborates internationally via the Erasmus Mundus Program. His roles include Head of the Harassment Consultation Office and Dean of the Graduate School, reflecting his commitment to academic governance and student support. Labs & Teams: He is affiliated with The Circle Lab and the Teikoku Databank CAREE . His interdisciplinary teams analyze long-term SME databases, such as the prefecture-specific 'Teikoku Bank Company Summary,' to study post-war industrial policies and contemporary innovation challenges.
Gerti Kappel is a full professor at the Institute of Information Systems Engineering at TU Wien, affiliated with the Business Informatics Group (BIG). Since 2020, she has served as Dean of the Faculty of Informatics at TU Wien, previously holding the role of Dean’s team member responsible for research, diversity, and financial affairs (2016–2019). She previously held a full professorship in computer science (database systems) and led the Department of Information Systems at Johannes Kepler University Linz (1993–2001). Her research focuses on Model Engineering, Web Engineering, and Process Engineering, particularly in cyber-physical production systems. She has co-authored influential works such as UML@Work (2005), UML@Classroom (2015), and Web Engineering (2006). Key projects include leadership roles in Vienna Informatics Living Lab (2018–2019), MPM4CPS (2014–2019), and ARTIST (2012–2015), addressing topics like model versioning, cloud architecture modeling, and inter-organizational systems. Her recent articles explore circular systems engineering, IoT-based simulation environments, and model-driven approaches for time-series analytics and cloud applications. She actively contributes to academic governance, including managing the Office of the Dean (E199-01) and overseeing faculty services. Her work emphasizes bridging theory and practice through collaborative frameworks like ERPEL and TROPIC . Grants: Projects funded by Austrian Research Promotion Agency, European Cooperation in Science and Technology, Vienna Business Agency, and others. Advising: Supervised over 15 graduate theses, including recent works on model-driven techniques for railway planning, debugging frameworks for modeling tools, and cloud-based IDEs. Labs/Teams: Leads research within the Business Informatics Group (BIG) and collaborates with the Vienna Informatics Living Lab for applied systems engineering.
Takashi Gojobori (born October 24, 1951) is a Japanese molecular biologist who serves as Vice-Director of the National Institute of Genetics (NIG) and Professor at the Center for Information Biology and DNA Data Bank of Japan (DDBJ) in Mishima, Japan. He also holds multiple visiting positions including Special Research Consultant at the National Institute of Advanced Industrial Science and Technology (AIST), Visiting Professor at Keio University, Tokyo University, and Tokyo Institute of Technology, and Visiting Research Director at RIKEN. His educational background includes a Ph.D. from Kyushu University (1979), followed by research positions at the University of Texas at Houston (1979-1983), Washington University in St. Louis (1985, 1986), and the Imperial Cancer Research Fund in London (1989). Professor Gojobori's research spans multiple areas of molecular and evolutionary biology. His work focuses on comparative genomics, molecular evolution, viral evolution, and bioinformatics. He has made significant contributions to understanding the rates of synonymous and non-synonymous substitutions, positive selection, horizontal gene transfer, and genome evolution. More recently, he has been investigating the evolution of the brain and central nervous system. His extensive publication record includes 389 peer-reviewed articles as of May 2012, reflecting his broad impact across multiple fields of biological research. His work shows a consistent focus on evolutionary mechanisms at the molecular level, with applications ranging from viral evolution to comparative genomics across diverse organisms including humans, plants, and model organisms like Hydra. Scientific Awards 2009: The Medal with Purple Ribbon from the government of Japan 2007: Academician Member of the Pontifical Academy of Sciences, Vatican 2006: Foreign Honorary Member of the American Academy of Arts and Sciences, USA 2005: Fellow of the American Association for the Advancement of Science (AAAS), USA 2005: Society Prize (Kihara Medal), The Genetic Society of Japan 2004: Society Prize (Motoo Kimura Medal), The Society of Evolutionary Studies, Japan 2004: The Gaetano Salvatore Gold Medal, Statione Zoologica, Anton Dohrn, Italy 1997: Science Award from Japan Science and Technology Corporation (JST), Japan 1995: Science Award from Hitoshi Kihara Memorial Foundation, Japan 1987: Promotion Award from Japanese Society of Genetics, Japan Professor Gojobori has served in numerous editorial capacities, including as Founding Editor of Genome Biology and Evolution, Executive Editor of GENE, and Associate Editor for several major journals. He has also held significant administrative roles including Program Director of the Council for Science and Technology Policy (CSTP) of the Japanese government and Science Officer of MEXT. His contributions to international genomic databases including DDBJ/GenBank/EMBL and the H-Invitational human gene database have been instrumental in advancing global genomics research. As Director of the Center for Information Biology and DNA Data Bank of Japan from 1994-2009, Professor Gojobori led important initiatives in biological data management and analysis. His work continues to influence the field through his leadership roles in international scientific organizations including the International Genetics Federation and CODATA/ICSU.
Wolfgang Nejdl is a Full Professor of Computer Science at Leibniz Universität Hannover since 1995 and the Head of the L3S Research Center since 2001. His research focuses on Web Science, search and information retrieval, semantic web technologies, peer-to-peer infrastructures, databases, technology-enhanced learning, and artificial intelligence. Education: M.Sc. (1984) and Ph.D. (1988) in Computer Science from Vienna University of Technology. Previous Positions: Assistant Professor in Vienna (1988–1992), Associate Professor at RWTH Aachen (1992–1995), and visiting professor/researcher at Xerox PARC, Stanford, University of Illinois at Urbana-Champaign, EPFL Lausanne, and PUC Rio. His research spans foundational and applied Web technologies, including social networks, trust and reputation, Web infrastructure, digital libraries, semantic web, collaborative filtering, and privacy-preserving systems. Recent projects like PHAROS, OKKAM, LiWA, and LivingKnowledge highlight his work in audio-visual search, web entities, web archive management, and diversity bias algorithms. Wolfgang Nejdl published over 230 scientific articles and held leadership roles as General Chair for AH'08 and PC Chair for WWW'09. He co-founded iSearch IT Solutions in 2006 to commercialize digital library and web engineering research from L3S projects. Scientific Awards: Founding member and head of the L3S Research Center The L3S Research Center, with a 2009 budget of €6 million (75% third-party funding), focuses on connecting the Web to real-world entities through research in Web Science, service computing, and security. Funding comes equally from the European Union and national/industry sources.
