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Francesca SpezzanoView profile

Associate Professor

• Social Network Analysis
• Misinformation Detection and Mitigation
• Information Diffusion
• +5 more

Francesca Spezzano is an Associate Professor in the Computer Science Department at Boise State University, part of the College of Engineering. She holds a Ph.D. in Computer Science Engineering from the University of Calabria, Italy (2012), with postdoctoral research at the University of California Santa Cruz and the University of Maryland Institute for Advanced Computer Studies. Her research focuses on social network analysis, misinformation detection, information diffusion, and national security, with emphasis on applying machine learning and graph-based methods to combat online deception. Education: Ph.D. in Computer Science Engineering, University of Calabria, Italy (2012) Visiting Scholar, UC Santa Cruz Database Group (2010–2011) Postdoctoral Research Associate, University of Maryland (2013–2015) Research Interests: Misinformation detection and mitigation Social network analysis and mining Graph databases and link prediction National security applications Awards & Grants: NSF CAREER Award (2020) for studying misinformation diffusion Funding from the National Science Foundation, U.S. Army Research Office, and National Security Agency Service & Leadership: General Chair of WSDM 2026, CIKM 2024, and MISDOOM 2022 PC Co-Chair of ASONAM 2019 and FOSINT-SI 2020 Recipient of the Best Paper Award at FOSINT-SI 2018

• Collaborative Research and Discovery
• IT-Enabled Business Process Innovation
• Knowledge Mining and Visualization
• +3 more

Christopher Asakiewicz is a Teaching Professor at the School of Business, Stevens Institute. His research focuses on Collaborative Research and Discovery, IT-Enabled Business Process Innovation, Knowledge Mining and Visualization, Healthcare Analytics, Cognitive Systems, and Artificial Intelligence. PhD in Information Management (2003), Stevens Institute MS in Electrical Engineering (1983), Stevens Institute BS in Electrical Engineering and Computer Science (1977), Columbia University His research explores the intersection of artificial intelligence and healthcare, particularly in accelerating translational research through knowledge mining, cognitive systems, and data integration. He has pioneered methods for leveraging AI in biobanking, collaborative discovery, and healthcare analytics, with a focus on enterprise-level applications. Recent publications highlight applications of AI and machine learning in translational research, healthcare analytics, and IT-enabled business process innovation. His work often bridges computer science, systems engineering, and life sciences. Asakiewicz contributes to institutional service through roles on the Institute Curriculum Committee and BI&A Advisory Board. He has secured significant research funding for projects involving Merck Pharmaceuticals, Genesis Research, and the Department of Defense.

Raman AdaikkalavanView profile

Professor

• Information Security (IoT, Android)
• Data Streaming
• Computer Science Education
• +3 more

Dr. Raman Adaikkalavan is a Professor in the Department of Computer and Information Sciences at Indiana University South Bend (IUSB), and serves as Associate Vice Chancellor for Enrollment Management. He holds a Ph.D. in Computer Science and Engineering from the University of Texas at Arlington (2006), and has extensive academic leadership experience. His research focuses on information security (particularly IoT and Android), data streaming, and computer science education. Notable contributions include developing the IU Test web-based assessment tool and advancing secure data stream processing architectures. Education: B.E. (1999) from Bharathidasan University, M.S. and Ph.D. (2002/2006) from University of Texas at Arlington, with additional certificates in online teaching (2013). Research emphasizes practical applications like secure stream processing in cloud environments and improving pedagogical methods through active learning. His work has been supported by NSF grants and institutional funding. Awards include the IU Trustees' Teaching Award (2011) and recognition as a University Scholar (UT Arlington). He advises students on topics like secure data stream processing and software engineering. Collaborations include projects with Dr. Indrakshi Ray (Colorado State) and Dr. Sharma Chakravarthy (UT Arlington). His IU Test system aids in program assessment and accreditation reporting for ABET.

Aftab AhmadView profile

Professor

• Machine Learning
• Cyber Security
• Public Health Prediction
• +5 more

Aftab Ahmad is a Professor in the Department of Computer Science at the City University of New York (CUNY), specializing in cybersecurity and machine learning applications. He holds a Doctor of Science from George Washington University. His research focuses on developing machine learning algorithms for cyber threat intelligence (CTI) and public health prediction, along with designing secure generative deep learning models resistant to reverse-engineering. Key research areas include: Cybersecurity frameworks and privacy-preserving architectures Generative adversarial networks (GANs) with embedded security features Biomedical signal analysis and human body channel modeling Secure wireless protocols for critical infrastructure His publication trends emphasize: Privacy metrics and data protection mechanisms Smart grid and IoT security Neuroscience-inspired machine learning models Wireless network vulnerability assessments No scientific awards or grants were explicitly mentioned in the provided texts. He teaches advanced courses in computer security and network forensics at undergraduate and graduate levels. No advising relationships or lab affiliations were detailed in the available information.

Kirsten RichardsView profile

Assistant Professor

• Technology Solutions in Healthcare
• Healthcare Management
• Applied Interaction Design
• +3 more

Dr. Kirsten Richards is an Assistant Professor in the CISC & ISEM departments at Harrisburg University of Science and Technology. She teaches graduate courses in the ISEM program, focusing on healthcare, management, and security topics. Her professional background combines healthcare practice, nursing, and academic teaching, enriching her classroom approach with real-world applications. Education: Ph.D. in Information Systems, University of Maryland, Baltimore County (2017) Graduate Certificate in Database Technology, University of Maryland, University College (2015) M.Sc. in Information Systems, University of Maryland, Baltimore County (2012) Associate in Science (Registered Nursing), Antelope Valley College (2010) Bachelor’s in Ministry and Leadership, Life Pacific College (2009) Associate in Arts, Antelope Valley College (2005) Research Interests: Dr. Richards focuses on technology-driven solutions for healthcare and management systems, including applied interaction design for user interfaces and data mining techniques. She specializes in privacy-focused interface design for healthcare contexts. Her work bridges technology, human-centered design, and ethical data practices. Teaching Philosophy: She emphasizes student interaction as a cornerstone of education, leveraging her experience as a peer tutor and healthcare professional to create practical, engaging learning environments.

Frédéric KeckView profile

Research Fellow

• Biopolitics
• Food Safety
• Health Crises
• +4 more

Frédéric Keck is a Research Fellow at the French National Centre for Scientific Research (CNRS) and heads the Social Anthropology Laboratory (Laboratoire d'Anthropologie Sociale, LAS) at the École des hautes études en sciences sociales (EHESS). He specializes in medical anthropology, focusing on health crises, zoonoses, and biosecurity. His work bridges philosophy, epidemiology, and ecological studies, with notable research on avian flu in Hong Kong and pandemic preparedness. Education: PhD in Philosophy (2003) from University of Lille-III DEA in Philosophy (1999) from University of Paris X-Nanterre Aggregation in Philosophy (1997) Exchange at UC Berkeley (1998-1999) Research Themes: Biopolitics, food risks, scientific networks, ecological disasters, conservation, and zoonotic diseases. His interdisciplinary approach spans anthropology, epidemiology, and policy analysis, with a focus on how scientific expertise shapes global health governance. Publications: Over 20 books and articles, including A World with Flu (2010), Pandemic Sentinels (2020), and works on avian influenza's societal impacts. His writing emphasizes the interplay between human and animal health, surveillance systems, and cultural perceptions of risk. Awards: CNRS Bronze Medal (2011), Fyssen Foundation Grant (2007), and membership in the Canadian Institute for Advanced Research (2015). Roles: Directed the Musée du Quai Branly's research department (2014–2018) and currently leads LAS. Engaged in global health initiatives and collaborative projects on veterinary anthropology and disaster preparedness. Labs/Teams: LAS (CNRS UMR 7130), collaborating with international networks on biosecurity, zoonoses, and environmental anthropology.

Maria Laura CARRANZAView profile

Professor

• Ecology
• Remote Sensing
• Plant Invasion Dynamics
• +5 more

Prof. Maria Laura CARRANZA is a Full Professor at the University of Molise, Department of Biosciences and Territory. Her work focuses on ecology, remote sensing, and environmental conservation, particularly in Mediterranean coastal ecosystems. She leads the Envix Lab, emphasizing vegetation mapping, invasive species dynamics, and climate change impacts. Her research integrates multi-source remote sensing (e.g., Sentinel, UAVs) with field data to assess biodiversity, dune ecosystems, and human-environment interactions. Key projects include monitoring plant invasions (e.g., Acacia saligna), coastal resilience, and citizen science contributions to ecological data collection. Education background and formal qualifications are not explicitly detailed in the provided text. Her research spans over 15 years, with recent emphasis on Mediterranean dunes, urban biodiversity, and global change effects on alpine grasslands. She collaborates internationally, notably in Argentina (Gran Chaco forests) and Pakistan (yak herding dynamics). Research interests include functional traits of plant communities, spectral diversity metrics, and conservation strategies for threatened ecosystems. Her work highlights the role of protected areas in mitigating litter accumulation and preserving cultural services. She has contributed to policy frameworks like Natura 2000 and the EU’s Invasive Species Directive through applied research. Publications emphasize the synergy between remote sensing and field ecology, with over 30 peer-reviewed articles since 2016. Her work on Acacia saligna invasion models and dune eco-geomorphology via UAVs has advanced management practices. She also explores educational innovations, such as online course efficacy for field subjects like bird recognition.

Ian SpoonerView profile

Professor

• Environmental Change
• Paleolimnology
• Hydrogeology
• +3 more

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.

• Computer Operating Systems
• Computer Systems Analysis
• Distributed Systems
• +5 more

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 BarrantesView profile

Senior Lecturer

• Bibliometrics
• Scientometrics
• Citation Analysis
• +7 more

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 HalesView profile

Professor

• Ocean Acidification
• Coastal Oceanography
• Biogeochemical Cycling
• +3 more

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 HeflinView profile

Associate Professor

• Semantic Web
• Ontology Development
• Artificial Intelligence
• +3 more

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.

• Blockchain Technology
• Distributed Systems
• Consensus Protocols
• +6 more

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.

• Database Systems
• Data Management
• Graph Databases
• +5 more

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.

• Databases
• Data Provenance
• XML
• +5 more

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.