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Shuting WangView profile

Assistant Professor

• Big Data in Marketing
• Data Science/Analytics
• IT Strategy
• +10 more

Shuting Wang is an Assistant Professor in the Paul H. Chook Department of Information Systems and Statistics at Baruch College's Zicklin School of Business. With a PhD in Management Information Systems from Temple University and prior degrees in Operations Management and Logistics Management, her research focuses on social media risks, fake news detection, and digital health platforms. PhD: Temple University (Management Information Systems) MSc: Shanghai University of Finance and Economics (Operations Management) BSc: Zhongnan University of Economics and Law (Logistics Management) Her expertise spans Big Data Marketing , Social Media Analytics , Technology Strategy , and Digital Health . Current research examines: Fake news mitigation through multimedia elements Telemedicine accessibility via SMS technology Social media's impact on business reputation FinTech startup success factors Psychological impacts of digital appearance Cybersecurity effects on startup funding Key Scientific Awards : Research Cluster Interdisciplinary Incentive Grants (2025) Eugene M. Lang Fellowship (2021) Presidential Fellowship at Temple University (2014) Full Tuition Scholarship at Shanghai University of Finance and Economics (2009) Active in teaching roles including Data Mining for Business Analytics and Database Management, she has received grants from the National Science Foundation and CUNY Central Office. Her work has been featured in outlets like NPR and Campaign US.

Laura E. Mercer TraavikView profile

Associate Professor

• Negotiation
• Diversity Management
• Inclusive Leadership
• +4 more

Laura E. Mercer Traavik serves as Associate Professor in the Department of Leadership and Organization at Kristiania University College's School of Communication, Leadership and Marketing. Her expertise spans negotiation strategies, diversity management, and inclusive leadership frameworks within Norwegian organizational contexts, with particular focus on workplace inclusion for caregivers and seniors. Her research examines intersectional dynamics of diversity through lenses of cross-cultural management, economic psychology, and negotiation theory. Current investigations address AI ethics implications for inclusive workplaces, individual motivations for inclusive behavior, and structural barriers faced by women in leadership. She analyzes how fixed mindsets about technology impact virtual team performance and explores employer branding strategies that authentically integrate diversity values. Analysis of her recent publications reveals intensifying focus on practical applications of inclusion science in Scandinavian workplaces. Key trends include caregiver employee integration, senior workforce retention strategies, and the ripple effects of egalitarian team structures. Her work increasingly bridges digital transformation challenges with human-centered inclusion practices, emphasizing contextual Norwegian workplace dynamics while contributing to global diversity discourse through empirical studies on mindset interventions and policy rationales. Traavik actively disseminates findings through NEON Days and EDI conferences, presenting on topics including caregiver inclusion frameworks, senior career development pathways, and cross-cultural negotiation patterns. Her research methodology combines organizational case studies with large-scale policy analysis, notably through MIPEX database applications in Scandinavian contexts.

İsmail ArıView profile

Assistant Professor

• Cloud Computing
• Big Data
• Machine Learning
• +12 more

Dr. İsmail Arı is an Assistant Professor in the Computer Science department at Özyeğin University . He holds a PhD from the University of California, Santa Cruz (2004), MS from University of Maryland (2000), and BS in Electrical & Electronics Engineering from Boğaziçi University (1998).

Virginia Frances J. NewcombeView profile

Academic

• Traumatic Brain Injury
• Magnetic Resonance Imaging
• Neurotrauma
• +5 more

Dr Virginia Newcombe is an Honorary Consultant in the Department of Medicine, Division of Anaesthesia, at the University of Cambridge’s School of Clinical Medicine, based at the Wolfson Brain Imaging Centre. She is also an active Principal Investigator within Cambridge Neuroscience, contributing to the Brains and Machines and Lifelong Brain Development and Brain Ageing research themes. Education and Training: While specific degrees are not listed in the provided text, Dr Newcombe’s extensive peer-reviewed output and honorary consultant status indicate advanced clinical and research training in medicine, neuroimaging and neurotrauma. Research Focus: Her programme centres on translating advanced magnetic resonance imaging into clinically actionable biomarkers for traumatic brain injury (TBI). Key themes include: Prediction of short- and long-term outcomes after mild, moderate and severe TBI. Influence of acute management strategies (Emergency Department and Neuro-critical Care) on patient trajectories. Multimodal integration of MRI, blood-based biomarkers, neuropsychological testing and machine-learning approaches. Neuroinflammatory and neurodegenerative sequelae of TBI and COVID-19. Publication Trends: Across >60 publications (2013-2025), her work spans high-impact journals such as Brain , JAMA Neurology , Neurosurgery , Critical Care and Neuroimage . The corpus reveals a rapid acceleration of output post-2020, with particular emphasis on large-scale collaborative studies (CENTER-TBI, Cambridge NeuroCOVID), methodological harmonisation of multi-centre MRI data, and the integration of blood biomarkers with advanced neuroimaging to improve prognostic accuracy. Scientific Awards and Recognition: Although no explicit awards are listed, her leadership roles in international consortia, frequent keynote-level publications and invitations to co-author NINDS/NICE guidance documents indicate significant peer recognition. Collaborations & Funding: Dr Newcombe collaborates closely with Cambridge colleagues including Prof David Menon, Dr Guy Williams, Prof Peter Hutchinson, Dr Marta Correia and Dr Adel Helmy. She is also a key member of the CENTER-TBI, TRACK-TBI and Cambridge NeuroCOVID initiatives, securing multi-million-pound grants from NIHR, EU Horizon 2020 and UK research councils. Laboratory & Teams: She leads a translational neuroimaging group embedded within the Wolfson Brain Imaging Centre, equipped with 3 T and 7 T MRI, state-of-the-art post-processing pipelines and dedicated Emergency Department/ICU recruitment infrastructure. The team currently welcomes doctoral applications and hosts post-doctoral researchers, clinical research fellows and imaging analysts.

Chiquito J. CrastoView profile

Research Professor

• Computational biology
• Bioinformatics
• Neuroscience
• +5 more

Chiquito J. Crasto is a Research Professor at Texas Tech University's Center for Biotechnology and Genomics, with an Adjunct faculty position in the Department of Computer Science and University Studies. He specializes in bioinformatics, computational biology, and neuroscience, supporting research in genomics, proteomics, and chemical senses. Education: Indian Institute of Technology (undergraduate), University of New Orleans (Ph.D. in Chemistry) Key Research Areas: Bioinformatics, chemical senses, biological networks, bacterial genomics, proteomics, and computational biology software development Awards: Government of India National Merit Scholarship, Plain and Fancy Postdoctoral Fellowship, TTU President Leadership Fellow Leadership: Manager of CBG's Bioinformatics core, expanded graduate programs, and developed undergraduate computing applications minor His work spans chemical senses, biological networks, bacterial genomics, and computational biology software tools. He has edited books on neuroinformatics and olfactory receptors, taught graduate bioinformatics courses, and advocated for e-education through online courses like Bioinformatics Methods and Biocomputing. Dr. Crasto collaborates with Yale University's Department of Neuroscience and Center for Medical Informatics, maintaining olfactory databases for the SenseLab project.

Michael SirivianosView profile

Associate Professor

• Cybersecurity
• Social Media Analysis
• Disinformation Detection
• +5 more

Michael Sirivianos is an Associate Professor at the Cyprus University of Technology (CUT), where he serves as Dean of the School of Engineering and Technology. He holds a PhD in Computer Science from Duke University (2010) and leads research in cybersecurity, disinformation detection, and social media analysis. He coordinates multiple EU-funded projects including ReCRED (Horizon 2020) and ENCASE (Marie Curie RISE), securing over €3M in research funding. Research Focus His work spans: Cybersafety : Detection of cyberbullying, hate speech, and inappropriate content targeting children Trust Systems : Device-centric authentication and blockchain applications Disinformation Analysis : Graph-based detection of fake news and state-sponsored manipulation Scalable Systems : Distributed databases and network infrastructure Achievements & Recognition Best Paper Award (2019) for work on state-sponsored disinformation Distinguished Paper (2018) for fringe web community analysis Spotlight Session recognition (2020) for child protection research Featured in NYT, Washington Post, and Wired for YouTube content analysis Leadership Co-directs the Network Systems Research Lab, serves on the Board of CYENS Centre of Excellence, and coordinates the Fact-check Cyprus Centre against Disinformation.

• Mobile Computing
• Mobile Cloud Computing
• Context-aware and -adaptive Applications
• +1 more

Dr. Gabriel Orsini is a researcher at the Department of Computer Science, Faculty of Mathematics and Natural Sciences, University of Hamburg. He works on context-adaptive systems for mobile cloud computing and has developed the CloudAware middleware framework. PhD (2017): Kontextadaptive Anwendungsarchitekturen für das mobile Cloud Computing Diploma Thesis (2008): Maschinelles Lernen zur Prognose von Erlösen im Luftverkehr His research focuses on mobile cloud computing , context-aware systems , and resource optimization through dynamic adaptation. Article trends show expertise in context adaptation , energy efficiency , and IoT integration . Professional activities include: Guest Editor for Forecasts in the Internet of Things Reviewer Board Member for Future Internet and Machine Learning and Knowledge Extraction Conference TPC Member for FNC 2021 and FNC 2020 He has supervised 18+ student theses across blockchain systems , context-aware computing , and mobile resource management , including advising on AutoML applications , decentralized ledgers , and probabilistic databases .

Felix NaumannView profile

Professor

• Data Profiling
• Data Quality
• Data Integration
• +4 more

Professor Felix Naumann is Chair for Information Systems at the Hasso Plattner Institute (HPI) at the University of Potsdam in Germany, where he leads the Information Systems research group. He is also Coordinator for MSc. Data Engineering and for the Data and AI track for MSc. Computer Science, and Speaker of the Research School on Data Science and Engineering. His extensive academic career includes visiting positions at CIRES Centre in Brisbane (2024-2025), SAP's Innovation Center (2020), AT&T Research (2016), and QCRI (2012). Professor Naumann's research focuses on data profiling, data cleansing, data integration, and data quality assessment with over 200 scientific publications. His work spans theoretical foundations and practical applications, with significant contributions to data quality metrics, metadata extraction, and AI-driven data preparation techniques. His research group develops prominent systems like Metanome for data profiling and Metis for data quality assessment. His recent publications demonstrate continued innovation in data management, with a growing intersection between traditional database research and AI applications. The 15 most recent papers show increasing focus on data quality for AI applications (KITQAR), multimodal data analysis (MELArt), and practical data cleaning frameworks that bridge database systems with machine learning pipelines. GI Dissertationspreis 2000 for best computer science PhD thesis IBM Research Division Award, 2002 Distinguished ACM member since 2021 Distinguished Reviewer Award - SIGMOD 2023 Best paper award at EDBT 2024 for Tasheeh paper Professor Naumann has successfully advised over 30 PhD students who now hold prominent positions at institutions like MIT, Google, Snowflake, and universities worldwide. His research has been funded by major grants including DFG Nachwuchsforschergruppe (2003-2008), IBM SUR Grant (2007), and DFG Forschergruppe Stratosphere (2010-2016). He leads the Information Systems research group at HPI, which includes PostDocs, PhD students, and student assistants working on projects like Metanome, Metis, KITQAR, and Janus, focusing on data profiling, quality assessment, and change exploration in data systems.

Inés IbáñezView profile

Professor

• Forest Ecology
• Climate Change Impacts
• Ecosystem Resilience
• +3 more

Inés Ibáñez serves as a Professor and Associate Dean for Academic Affairs at the University of Michigan School for Environment and Sustainability (SEAS), where she leads research in the Ecosystem Science and Management program. Her work focuses on forest ecosystem functioning, climate change impacts, and conservation strategies to inform sustainable resource management under global environmental change. Her educational qualifications include: PhD in Ecology from Duke University MS in Range Sciences from Utah State University BS in Botany from Universidad Complutense de Madrid Professor Ibáñez investigates how climate change affects forest community structure, species recruitment constraints, and ecosystem resilience to disturbances. She develops integrative models linking physiological processes to landscape-scale patterns, emphasizing practical applications for forest conservation and adaptive management in vulnerable ecosystems. Analysis of her 2022-2023 publications reveals consistent focus on forest dynamics, seed ecology, and spatial biodiversity patterns. Her collaborative work leverages large-scale datasets to examine tree fecundity gradients, latitudinal growth responses, and herbivory impacts, contributing to predictive frameworks for forest adaptation under climate stressors. She mentors graduate researchers including master's student Ezekiel Herrera-Bevan who conducted fieldwork at the U-M Biological Station. Her research program operates through extensive national and international collaborations, though specific grant details are not documented in the source material. Professor Ibáñez directs a multidisciplinary research group integrating field ecology, remote sensing, and modeling approaches. Her team collaborates across institutions to study forest resilience mechanisms, with projects spanning experimental manipulations, long-term monitoring, and spatial analysis of community vulnerability.

Xiaoyang WangView profile

Senior Lecturer

• Graph Processing
• Graph Neural Networks
• Spatial Data Processing
• +10 more

Xiaoyang Wang is a Senior Lecturer in the School of Computer Science and Engineering (CSE) at the University of New South Wales (UNSW). He holds a Bachelor's and Master's degree in Computer Science from Northeastern University, China, and earned his PhD from CSE UNSW. Dr. Wang's research focuses on database systems with a special emphasis on query processing and data mining on large-scale graph, spatial, and streaming data. His expertise extends to data-driven machine learning, smart contract analysis on blockchain, and FinTech with financial network analysis. His work spans Graph Processing, Graph Neural Networks, Spatial Data Processing, AI for Databases (AI4DB), Database for AI (DB4AI), and FinTech applications. His publication record shows significant contributions to the field with 7 book chapters, 56 journal articles, 61 conference papers, 7 edited conference proceedings, and 4 conference abstracts. Recent publications (2022-2025) demonstrate his strong research trajectory in advanced graph processing techniques, neural network applications, and innovative database approaches. Key themes include hierarchical contrastive learning, robust attack frameworks, temporal graph processing, influence maximization, knowledge graph-enhanced reasoning, and rumor mitigation. Dr. Wang actively recruits PhD students interested in pursuing research in related fields and encourages current undergraduate and master's students at UNSW to contact him about research opportunities. He maintains an active research agenda with practical implications for industries dealing with large-scale network data, financial technology applications, and data-intensive systems. He can be reached at xiaoyang.wang1@unsw.edu.au and is located in Engineering building K17-501D at UNSW.

Antonios DeligiannakisView profile

Professor

• Databases
• Sensor Networks
• Analytical Data Processing
• +4 more

Antonios Deligiannakis is a Professor at the School of Electronic and Computer Engineering of the Technical University of Crete, specializing in database systems and distributed data processing. His academic career includes a postdoctoral position at the National and Kapodistrian University of Athens (2006-2007) and a visiting researcher role at AT&T Labs-Research (2003). His educational background includes: PhD in Computer Science, University of Maryland, USA (2005) Master's Degree in Computer Science, University of Maryland, USA (2001) Diploma in Electrical and Computer Engineering, National Technical University of Athens (1999) Professor Deligiannakis's research spans Databases , Stream Processing , and Sensor Networks , with pioneering work in Approximate Query Evaluation for massive datasets and Complex Event Processing in distributed environments. His contributions enable efficient analytics in resource-constrained settings through techniques like synopses-based engines and windowed outlier detection. His 15 most recent publications (2020-2025) reveal a dominant focus on distributed streaming analytics, with recurring themes of cross-platform integration, federated learning, and extreme-scale interactive systems. Key innovations include the INFORE framework for interactive analytics, DAG* for IoT workflow optimization, and communication-efficient federated learning techniques—demonstrating consistent translation of theoretical advances into production-ready platforms. Scientific Awards: No specific awards were listed in the provided material. Information about advisees and research grants was not provided in available documentation, though his leadership in the Distributed Information Systems and Applications laboratory suggests active mentorship and project direction. He directs research in the Distributed Information Systems and Applications laboratory, developing systems for real-time analytics across domains including maritime surveillance, financial technology, and IoT platforms, with emphasis on scalability and fault tolerance in geo-distributed environments.

Michel DeshaiesView profile

Professor

• Resource Exploitation
• Environmental Impact
• Landscape Changes
• +4 more

Michel Deshaies is a Professor at the University of Lorraine, serving as director of CERPA since 2006 and LOTERR since 2012. His academic career began with an aggregation in geography in 1989 and doctorate in 1994 from the University of Nancy 2, where he was a lecturer until 2006 before attaining full professorship. His educational trajectory includes higher education at the University of Le Mans, aggregation of geography (1989), doctoral research on limestone plateau meanders in Eastern France (1994), and HDR accreditation on mining landscapes (2005). These qualifications established his expertise in physical and human geography. Deshaies' research centers on resource exploitation impacts, environmental transformations, and rapid landscape changes with regional specialization in Germany and Central Europe. His work integrates geographical analysis of energy transitions, mining landscape metamorphosis, and socio-ecological conflicts, emphasizing spatial dimensions of human-environment interactions. Key contributions examine territorial anchoring of energy projects and post-mining landscape rehabilitation. Analysis of his 2016-2020 publications reveals consistent focus on energy transition dynamics, mining landscape transformations in Germany, and socio-spatial dimensions of resource conflicts. The corpus demonstrates interdisciplinary methodology combining field observations, spatial analysis, and qualitative approaches to address territorial challenges in European contexts. He currently supervises three doctoral students: Jimmy GRIMAULT (energy transition conflicts), Manuel ISNARDON (radioactive waste storage projects), and Arsène KOUADIO (rural electrification in Côte d'Ivoire). His research funding includes ANR COLLENER (2012-2016) on German renewable energy, the Land Transport Infrastructure Twinning project (2012-2015), and the Gazhouille project on coal gas exploitation. As LOTERR director, he leads research across three thematic axes: Water and Environments, Landscape and Territorial Transitions, and Transitions, Actors and Planning. The laboratory operates advanced technical platforms for hydrometry, topography, sedimentology, and drone-based remote sensing, including specialized tools like IKARE for karst phenomena inventory and a 30,000-image aerial photograph database.

Jamie FerrillView profile

Senior Lecturer

• Financial Crime
• Money Laundering
• Transnational Organized Crime
• +7 more

Jamie Ferrill is a Senior Lecturer and Discipline Lead of Financial Crime Studies at the Australian Graduate School of Policing and Security , Charles Sturt University. She holds a PhD in Organizational Behavior (Loughborough University), an MPS in Homeland Security Leadership (University of Connecticut), and a BCJ in Criminal Justice (Mount Royal University). Her research focuses on financial crime, money laundering, transnational organized crime, and national/economic security. 2025 : 7 publications including metaverse policing, cryptocurrency scandals, and cannabis regulations 2024 : 3 publications on AML law, green trade initiatives, and cannabis policy 2023 : 7 publications covering trade-based money laundering, cannabis legalization, and police wellbeing Jamie’s recent work includes systematic reviews on trade-based money laundering (2025) and metaverse policing (2025), alongside policy analysis of cannabis regulations (2024) and beneficial ownership registries (2025) to combat financial crime. She also contributed to the edited volume Dirty Money: Financial Crime in Canada (2022) as co-editor.

• Greek History
• Ancient Religions
• Polytheism
• +6 more

Sylvain Lebreton serves as a Lecturer in Greek History at the University of Toulouse - Jean Jaurès within the History Department and PLH-Erasmus Laboratory Heritage, Literature, History. His academic trajectory spans multiple institutions including the University of Liège and the University of the Littoral Côte d'Opale, with his current faculty position commencing in 2023 following six years as a postdoctoral researcher in the Mapping Ancient Polytheism ERC program. Dr. Lebreton's research centers on Greek religion across the longue durée, particularly examining structures and dynamics of polytheisms through divine onomastics (theonyms, epithets) during Classical and Hellenistic periods. His methodological approach uniquely combines traditional philological analysis with innovative digital humanities applications. His scholarly output reveals consistent focus on epigraphy, history of Greek cities, and the intersection of religion with political and social structures in ancient Greece. Recent publications demonstrate evolving research interests in sanctuary management from ecological perspectives, divine ubiquity through onomastic attributes, and decision-making processes involving divine consultation in Athenian democracy. His work bridges conventional historical inquiry with cutting-edge database development, most notably through his coordination of the Data Bank of Greek Epicleses (BDEG) since 2013. ERC 74118 Mapping Ancient Polytheism project (2017-2023) IN BeIPD COFUND postdoctoral fellowship at University of Liège (2014-2016) Ongoing collaboration with Dodona On Line (DOL) project since 2015 Dr. Lebreton maintains active leadership in digital humanities initiatives through his coordination of the BDEG research program and contributions to the Dodona On Line project. These collaborative efforts have produced significant scholarly resources for researchers studying ancient Mediterranean religions, particularly through the development of structured databases mapping divine epithets and religious practices across the ancient Greek world.

• Data Mining
• Bioinformatics
• Machine Learning
• +3 more

Domingo Savio Rodríguez Baena is a Professor at Pablo de Olavide University, affiliated with the Department of Computer Languages and Systems. His research focuses on data mining, bioinformatics, and computational biology, with a particular emphasis on biclustering algorithms, gene co-expression networks, and high-performance computing applications. PhD in Engineering, Data Science, and Bioinformatics (2012) from Pablo de Olavide University His work spans interdisciplinary domains, including recommender systems , livestock behavior analysis , and biological data interpretation . Recent articles highlight his contributions to multi-GPU optimization , ensemble learning , and historical database construction . Key collaborations include the DATAi Intelligent Data Analysis and DASE Data Analytics Science & Engineering research groups. He has developed tools like the CyEnGNet–App for gene network visualization and BIGO for gene enrichment analysis. Contact: dsrodbae@upo.es