جست‌وجوی استاد و پژوهشگر

Asad Khattakمشاهده پروفایل

استاد

• Intelligent Transportation Systems
• Transportation Safety
• Sustainable Transportation
• +۳ مورد دیگر

Professor Asad Khattak is the Beaman Distinguished Professor in the Department of Civil and Environmental Engineering at the University of Tennessee, Knoxville, within the College of Engineering. He serves as the Transportation Program Coordinator and leads multiple national and regional research initiatives. He is affiliated with the UT Center for Transportation Research and the Howard H. Baker Jr. Center for Public Policy. Research Interests: His work centers on intelligent transportation systems , transportation safety , and sustainable transportation . He leverages big data and connected vehicle technologies to improve safety monitoring and urban mobility. His research has strong applications in policy, environmental protection, and smart infrastructure. Publications and Research Trends: Recent articles emphasize the use of large-scale trajectory data, connected vehicle communications, and multi-agency coordination to enhance transportation safety and efficiency. Themes include real-time incident analysis, fuel economy validation, and proactive safety management using emerging technologies. Scientific Awards: Shining Star Award, Old Dominion University Nationally ranked 4th in faculty publications among U.S. graduate planning schools (2004) Advising and Grants: As Principal Investigator and Co-Director of major initiatives, Dr. Khattak has secured 66 sponsored research and educational projects from agencies including the US Department of Transportation, NSF, EPA, and state DOTs. He mentors students and researchers through active research programs, though specific advisees are not listed. Labs and Teams: He leads the ‘Big Data for Safety Monitoring, Assessment, and Improvement’ project and co-directs the Initiative for Sustainable Mobility. He is also a key member of the National University Transportation Center partnership led by UNC-Chapel Hill.

• Geochemistry
• Climate change science
• Hydrology
• +۹ مورد دیگر

Gabriel Bowen is a Professor in the Department of Geology & Geophysics at the University of Utah, where he has held academic positions since 2012, advancing to full Professor in 2016. His work is centered on isotope geochemistry and its applications to Earth system science, climate, hydrology, and environmental change. His research spans climate change science, hydrology, atmospheric sciences, paleoclimatology, ecology, and forensic geolocation . He uses stable isotopes (oxygen, hydrogen, carbon, strontium) to investigate paleoenvironments, animal and human movement, groundwater dynamics, and land-atmosphere interactions. His work integrates field data, modeling, and large-scale data synthesis. His recent publications (2024–2025) reveal a strong focus on isotopic methods in environmental reconstruction , including evapotranspiration partitioning, urban water isoscapes, strontium provenance models, and paleo-CO2 reconstructions. He leads major collaborative initiatives such as IsoBank and CO2PIP , which aim to standardize and centralize isotopic and paleoclimate data. Scientific Awards: Distinguished Research Award, University of Utah (2025, 2024) Distinguished Visiting Fellowship, Tongji University (2019) Fellow, Geological Society of America (2016) James B. Macelwane Medal, American Geophysical Union (2012) Fellow, American Geophysical Union (2012) He has secured numerous grants from the National Science Foundation, American Chemical Society, and US Environmental Protection Agency , supporting research on paleoclimate, isotope systems, and environmental monitoring. He teaches courses such as Isoscapes , Carbon Cycle , and Thesis Research at both Master’s and PhD levels. He also engages in community outreach, including collaborative research with the Jordan Valley Water Conservancy District. He is actively involved in professional service, including membership on the Petroleum Research Fund Advisory Board (ACS) and the Urbino Summer School on Paleoclimatology Board of Directors .

Jim Bamfordمشاهده پروفایل

مدرس ارشد

• Project Management
• Knowledge Transfer Partnerships (KTPs)
• Systems of Innovation
• +۳ مورد دیگر

Dr. Jim Bamford is a Senior Lecturer in Project Management at York Business School, York St John University. He leads the Project Management MSc and Degree Apprenticeship programs, leveraging his extensive NHS leadership experience in strategic change projects and healthcare logistics. His research focuses on systems of innovation, knowledge transfer partnerships, and agile operations management. Education: PhD in Systems of Innovation (University of Huddersfield) Industry Expertise: Strategic healthcare logistics across Manchester, York, Leeds, Bradford, and Airedale Dr. Bamford’s work bridges academic research and practical application, evidenced by his ESRC and TSB award-winning KTP projects. His publications span healthcare logistics, agile project management, and sports operations benchmarking, with a focus on translating theoretical insights into real-world solutions. Recent research trends highlight his commitment to knowledge transfer and operational excellence , including case studies on healthcare systems, manufacturing logistics, and large-scale sports venue management. Scientific Awards: ESRC KTP Prize for Best Application of Social/Management Science TSB Best Partnership Award, North East England As a Postgraduate Research Supervisor and Fellow of the Higher Education Academy, Dr. Bamford contributes to academic-industry collaboration. His work with organizations like Deluxe Beds, The Travelspirit Foundation, and NHS England demonstrates practical global impact.

• Database Systems
• Data Management
• Cloud Computing
• +۵ مورد دیگر

Abdelkader Hameurlain is an active academic researcher specializing in database systems, data management, and cloud computing with a prolific publication record spanning over three decades (1990-2025). He has authored or co-authored more than 170 publications and serves as an editor for the prestigious 'Transactions on Large-Scale Data- and Knowledge-Centered Systems' series published by Springer as part of the Lecture Notes in Computer Science. His research interests focus on database systems, data management, cloud computing, query optimization, data replication, and big data analytics. Hameurlain has made significant contributions to multi-tenant database management systems, SLA-aware query optimization, data replication strategies in cloud environments, and knowledge-based systems. His work bridges theoretical foundations with practical applications in large-scale data processing environments. Analysis of his recent publications (2021-2025) reveals a continued focus on cloud database performance optimization, with particular emphasis on multi-tenant systems, SLA compliance, and cost-effective resource allocation. His research demonstrates a consistent trajectory from traditional database systems toward cloud-native and distributed data management solutions, reflecting the evolving landscape of data-intensive computing. Hameurlain has established long-term collaborations with prominent researchers including Franck Morvan (63 joint publications), Roland R. Wagner (50 joint publications), Josef Küng (40 joint publications), and A Min Tjoa (26 joint publications), indicating his central position in the database research community. As an editor of the Transactions on Large-Scale Data- and Knowledge-Centered Systems series, he has played a significant role in shaping research directions in data management through numerous special issues covering database technologies, big data analytics, cloud computing, and knowledge systems. His editorial work spans multiple volumes from TLS-DCS XIII (2014) through TLS-DCS LVI (2024), demonstrating sustained leadership in the field.

• Database Systems
• Web Data Extraction
• Information Integration
• +۴ مورد دیگر

Jayant Madhavan is a researcher at Google specializing in database systems, web data extraction, and information integration. His work primarily focuses on extracting structured data from the web, schema matching, and developing techniques for managing and visualizing large datasets, particularly through projects like Google Fusion Tables and WebTables. Madhavan's research interests center around the challenges of working with web data. His work explores methods for extracting structured information from unstructured web content, particularly focusing on tables and lists. He has made significant contributions to the field of schema matching, developing techniques that enable integration of data from diverse sources. His research also extends to geospatial data processing and visualization, where he has developed algorithms for efficiently handling large geographical datasets for map visualization. His publication record shows a consistent focus on practical applications of database research to web-scale problems. The evolution of his work demonstrates a progression from foundational research on schema matching and data integration to applied work on Google products like Fusion Tables, which enable non-experts to work with structured data. His most recent work examines the ecosystem of structured data on the web and how to effectively extract and utilize this information. Madhavan has collaborated extensively with Alon Y. Halevy (43 co-authored papers) and other researchers at Google, forming a core group that has advanced the state of the art in web data management. His work bridges theoretical database research with practical applications, making significant contributions to both academic literature and real-world data management systems.

• Database Systems
• Information Retrieval
• Probabilistic Databases
• +۴ مورد دیگر

Martin Theobald is a Professor in the Department of Computer Science at the University of Luxembourg's Faculty of Science, Technology and Communications. Previously affiliated with University of Ulm, Germany, his research spans database systems, information retrieval, and knowledge extraction with over 120 publications since 2002. His work bridges theoretical database foundations with practical applications in large-scale data processing. His research focuses on: Probabilistic and uncertain database systems Stream processing frameworks (notably the AIR architecture) Knowledge extraction from heterogeneous data sources Integration of machine learning with database systems Efficient query processing for structured and semi-structured data Recent publications demonstrate an evolving research trajectory toward real-time data stream processing with machine learning integration. His work on the AIR (Asynchronous Iterative Routing) framework and its extensions (TensAIR, OPTWIN) addresses critical challenges in concept drift detection, neural network training on streaming data, and efficient resource utilization. These contributions sit at the intersection of database systems, distributed computing, and machine learning, with applications in knowledge graph construction and question answering systems. Martin Theobald has mentored numerous researchers including Mauro Dalle Lucca Tosi, Alessandro Temperoni, and Vinu E. Venugopal, who have become active contributors to the database community. His collaborative network spans institutions across Europe, with frequent partnerships with researchers from University of Ulm, Max Planck Institute, and other European universities. His laboratory work focuses on developing scalable systems for processing evolving data streams, with particular emphasis on creating lightweight architectures that maintain high performance while minimizing resource consumption. Current projects involve integrating knowledge graphs with real-time analytics and developing adaptive systems that can handle concept drift in streaming environments.

Adrian Spătaruمشاهده پروفایل

مدرس

• Cloud Computing
• Distributed Systems
• Edge Computing
• +۴ مورد دیگر

Adrian Spătaru serves as a Lecturer at the Faculty of Mathematics and Computer Science, West University of Timisoara, Romania, with his office located in room 058. He maintains active academic engagement through direct contact channels including email (adrian.spataru@e-uvt.ro) and phone ((0256) 592 157), reflecting ongoing institutional affiliation and research activities within computer science. His research centers on the integration of edge, cloud, and high-performance computing resources within the cloud continuum framework. Key focus areas include service orchestration, resource management, blockchain applications for decentralized systems, and AI-driven optimization of cloud infrastructures. His work addresses critical challenges in heterogeneous platform integration, fault tolerance, and predictive maintenance across large-scale distributed environments, with notable contributions to container deployment and accelerator-aware application specification. Analysis of his publication trends reveals sustained emphasis on the edge-cloud-HPC continuum since 2018, evolving toward intent-based AI orchestration and heterogeneous hardware integration in recent works. His research bridges theoretical distributed systems concepts with practical applications in environmental monitoring (solar forecasting, freshwater quality assessment) and industrial cloud reliability, demonstrating both academic rigor and real-world impact. No scientific awards are documented in the provided institutional information. Details regarding student supervision, research grants, or laboratory affiliations are not specified in the available materials. Current research directions appear focused on advancing the edge-cloud-HPC continuum through heterogeneous platform integration, with 2025 publications indicating active development in this domain.

• Genetic Analysis of Parasite Biology
• Mechanisms of Drug Action and Resistance
• Bioinformatics
• +۳ مورد دیگر

David Roos is a Professor of Biology at the University of Pennsylvania within the College of Arts & Sciences. His research focuses on Genetic Analysis of Parasite Biology and Mechanisms of Drug Action and Resistance , leveraging bioinformatics and functional genomics to study eukaryotic pathogens, vectors, and their interactions with hosts. Recent publications highlight his work in bioinformatics resource development ( VEuPathDB , FungiDB ), pharmacokinetic methods ( Immunocapture LC–MS ), and global health challenges (e.g., Artemisinin Resistance ). Key subfields include parasite genomics, database tools, and analytical chemistry. For correspondence, contact droos@sas.upenn.edu . Further details on his research and publications are available via his lab website and affiliated databases.

Nathaniel Hupertمشاهده پروفایل

دانشیار

• Public Health Emergency Preparedness
• Healthcare Operations Research
• Infectious Disease Modeling
• +۱۲ مورد دیگر

Nathaniel Hupert, MD, MPH is an Associate Professor of Population Health Sciences and Associate Professor of Medicine at Weill Cornell Medical College, Cornell University, and an Associate Attending Physician at NewYork-Presbyterian Hospital. A practicing internist and internationally recognized public-health modeler, he directs his research toward healthcare-process optimization and emergency-response logistics for both routine care and large-scale crises. Education A.B., Harvard College (1988) M.D., Harvard Medical School (1994) M.P.H., Harvard School of Public Health (2000) Research Focus Dr. Hupert’s scholarship integrates process mining , discrete-event simulation , and data-driven decision science to strengthen preparedness for bioterrorism, pandemic influenza, COVID-19, and anthrax events. His models of mass antibiotic dispensing (BERM Point-of-Dispensing staffing model) and hospital surge capacity (AHRQ Surge Model) have been downloaded and applied by public-health agencies worldwide. Current work extends to heterologous vaccination strategies, social determinants of COVID-19 transmission, and equity in child mortality. Scientific Awards & Honors Rotary Foundation Scholarship, University of Otago (1989) Rose Seegal Essay Prize, Harvard Medical School (1994) Outstanding Volunteer Service, University of Pittsburgh Medical School (1997) Pforzheimer Public Service Award, Harvard School of Public Health (1999–2000) Most Outstanding Abstract, AcademyHealth Annual Research Meeting (2003) Grants & Leadership Roles Principal Investigator on multiple federally funded projects including Managing Epidemics by Managing Mobility (NIAID, 2022-2025) and sub-awards from the National Institute of Allergy and Infectious Diseases. He founded and led the CDC Preparedness Modeling Unit (2008-2010), served on the DHHS Anthrax Modeling Working Group (2003-2009), and currently acts as Policy Lead for the Oxford-based COVID-19 International Modeling Consortium (CoMo). Laboratory & Collaborative Networks Dr. Hupert heads interdisciplinary teams that bridge Weill Cornell, the NewYork-Presbyterian healthcare system, and global partners such as the CoMo consortium. These collaborations translate simulation insights into operational tools for hospitals, public-health departments, and federal agencies.

• Artificial Intelligence
• Legal Informatics
• Information Retrieval
• +۵ مورد دیگر

Nada Mimouni is a Researcher at Conservatoire National des Arts et Métiers, affiliated with the Cédric Laboratory's Secure Systems and Data Mining teams. She has authored 15+ peer-reviewed publications across 2012–2025, focusing on knowledge graphs, legal informatics, and cybersecurity. Her Contextual cybersecurity Semantic knowledge representation Legal information systems Ontology engineering Medical system protection Policy analysis research spans interdisciplinary applications including EU regulatory frameworks and healthcare infrastructure security. Recent publications demonstrate expertise in contextual knowledge graphs, analogical reasoning, and cyber-physical incident management. Notable recognition includes the Most Inspiring Managerial Implications Award (2019).

Md. Mehedi Hasanمشاهده پروفایل

پژوهشگر ارشد

• Reproductive Health
• Maternal Health
• Newborn Health
• +۹ مورد دیگر

Dr. Md. Mehedi Hasan is a Postdoctoral Research Fellow at the UQ Poche Centre for Indigenous Health, Faculty of Health, Medicine and Behavioural Sciences, University of Queensland. With over eight years of professional experience in public health research across developing and developed countries, he has established expertise in quantitative data analytics and addressing critical health issues in low- and middle-income contexts. Dr. Hasan completed his PhD from the University of Queensland in 2022. His doctoral thesis, "Future direction of maternal and child health in low- and middle-income countries," utilized data from over 4.3 million participants across 284 national surveys in 75 countries to analyze future projections of maternal and child health indicators. Dr. Hasan's research focuses on reproductive, maternal, newborn, and child health (RMNCH), nutrition, non-communicable diseases, mental health, sleep health, and social determinants of health. His work examines geographical variations and socioeconomic inequalities in health outcomes across low- and middle-income countries, with particular emphasis on Bangladesh and Southeast Asia. He employs large-scale population data to identify patterns, risk factors, and opportunities for intervention. His extensive publication record demonstrates consistent focus on health inequalities, maternal and child health indicators, and the double burden of malnutrition. The research shows strong engagement with Global Burden of Disease methodology and cross-national comparative analyses, particularly examining how socioeconomic factors influence health outcomes across diverse cultural contexts. Dr. Hasan has received notable recognition for his work: Global Change Scholar (2018 cohort) of the University of Queensland National award in the Pregnancy Monitoring Innovation Challenge 2022 funded by Aspire to Innovate (a2i), Bangladesh Dr. Hasan is actively engaged in research mentorship as an Associate Advisor for PhD candidates. He serves as a peer reviewer for eight international journals and has contributed to numerous collaborative research projects. His current research focuses on environmental exposures in pregnancy and their relationship to adverse birth outcomes in Queensland, Australia. As an active member of several professional international collaborative groups including Global Burden of Diseases, the American Society for Nutrition, the International Health Economics Association, the Society for Research in Child Development, and Health Systems Global, Dr. Hasan maintains strong connections with the global public health research community.

Shashikant Ilagerمشاهده پروفایل

استادیار

• Distributed Systems
• Energy Efficiency
• Machine Learning
• +۴ مورد دیگر

Dr. Shashikant Ilager is an Assistant Professor at the Informatics Institute (IVI) , University of Amsterdam. His research focuses on distributed systems , energy efficiency , and machine learning , with a specific emphasis on sustainable large-scale AI platforms. Current affiliation: University of Amsterdam (Oct 2024–present) Previous roles: Postdoctoral Researcher at TU Wien; Visiting Research Scientist at IBM PhD: CLOUDS Lab, University of Melbourne Research Focus Dr. Ilager develops data-driven approaches to optimize cloud/edge platforms for environmental and economic sustainability , particularly in AI workloads. His work bridges system characterization with learn-centric optimization techniques. Recent Publications 2025: ACM e-Energy (LLM carbon amortization), TAAS (self-adaptive edge monitoring), CCGRID (code generation efficiency). 2024: ICSOC (edge time series classification), EdgeSys (federated learning with GANs). Awards Best Paper Award @ ACM/IEEE UCC 2023 Community Engagement Organizer of the GreenSys workshop (2025) at EuroSys. Member of HPDC 2025 Technical Program Committee.

Jeffrey Huntsingerمشاهده پروفایل

دانشیار

• Social Psychology
• Cognitive Psychology
• Affect-Cognition Interactions
• +۴ مورد دیگر

Jeffrey Huntsinger is an Associate Professor and Department Chair of Psychology at Loyola University Chicago. His research focuses on the flexible influence of affective feelings on cognition, judgment, and social behavior. Ph.D. in Social Psychology, University of Virginia (2007) M.A. in Social Psychology, University of Virginia (2003) B.A. in Psychology, Pennsylvania State University (1999) His theoretical work challenges the traditional view of fixed links between emotion and cognition, proposing instead that affect acts as feedback to dynamically regulate mental processes. Research spans stereotype activation, group decision-making, and moral foundations in health behaviors. Recent publications highlight trends in affective feedback, vaccine hesitancy, historical psychology, and emotion's role in decision-making. He co-organizes large-scale replicability projects like Many Labs 2 and directs the ESC Lab, which investigates affective regulation of thought and judgment. Teaching includes courses on social psychology and gender differences. Contact: jhuntsinger@luc.edu | Office: 120 Coffey Hall.

Lynn Christina Gribbleمشاهده پروفایل

دانشیار

• Artificial Intelligence in Education
• Academic Integrity
• Technology in Teaching
• +۵ مورد دیگر

Lynn Christina Gribble is an Associate Professor at the University of New South Wales Business School, specializing in Artificial Intelligence in Education, Academic Integrity, and Technology-Enhanced Teaching. As an Education Focused Academic, she teaches Masters students in courses including Professional Skills and Ethics, Managing People and Organisations in Context, and Change Management. She serves as the School of Management Student Integrity Advisor and co-leads the AI Education Focused Community of Practice. Her educational background includes a PhD from SCU (2001) on psychological underpinnings of retrenchment, Master of Labour Law and Relations from Sydney University (2004), Master of Education (Training & Development) from SCU (1998), and Graduate Diploma in Tourism Management from University of Technology (1995). Gribble is nationally and internationally recognized for thought leadership in AI teaching and learning, having created and co-led the AI Community of Practice at UNSW. Her research focuses on how AI transforms educational practices while maintaining academic integrity, with emphasis on ethical implementation, student engagement at scale, and preserving human elements in learning. She pioneered voice feedback systems (2011) and technology-enhanced grading approaches. Her recent publications show a clear trajectory toward responsible AI integration in education, addressing critical issues like student overconfidence with generative AI, maintaining academic integrity in AI-assisted learning, and developing AI literacy frameworks. The work consistently emphasizes human-centered approaches where technology serves pedagogical goals rather than driving them. Australian Awards for University Teaching Citation for Outstanding Contributions to Student Learning (2020) Vice Chancellor's Award for Teaching Excellence (2011) ASCILITE Community Fellow Award (2023) Turnitin Global Innovation Award (2019) Senior Fellow of the UK Higher Education Academy (2020) Responsible Management Education Award (2023) Gribble has supervised eight doctoral completions (seven as sole supervisor) and led multiple Education Focused Fellowships investigating assessment and feedback practices. She has secured significant grant funding including Education Focused Initiative Funding for the Digital Online Learning and Innovation Moodle hub (2023) and multiple Education Focused Fellowships (2020-2022). As co-leader of the AI Community of Practice and member of the UNSW Business School AI taskforce, she shapes institutional approaches to educational technology adoption.

Kaie Maennel, Agnė Brilingaitė, Linas Bukauskasمشاهده پروفایل

پژوهشگر

• Cybersecurity Education
• Cyber Defense Exercises (CDX)
• Psychological Safety in Teams
• +۴ مورد دیگر

Dr. Kaie Maennel, Dr. Agnė Brilingaitė, and Linas Bukauskas are cybersecurity education researchers who have co-authored studies on multidimensional approaches to Cyber Defense Exercises (CDX). Their work emphasizes integrating psychological safety , intrinsic motivation , and cognitive agility into cybersecurity training frameworks. They have contributed to understanding how behavioral aspects and educational theory can enhance technical skill development and team coordination during large-scale exercises like Locked Shields and Amber Mist. Key areas of focus include: Applying Self-Determination Theory (SDT) to improve participant motivation and learning outcomes. Developing adaptive performance metrics that evaluate non-technical skills such as communication and decision-making under stress. Advancing slow education techniques to scaffold technical and soft skill development in cyber operators. They have secured significant funding through the EEA Grants project ADVANCES , which aims to personalize cybersecurity competence development. Their research has been published in journals like Computers & Security and International Journal of Cyber Warfare and Terrorism , influencing pedagogical practices in hybrid cybersecurity exercises and incident response training.