جست‌وجوی استاد و پژوهشگر

Gretchen Helmkeمشاهده پروفایل

استاد

• Democratic Norms
• Judicial Politics
• Rule of Law
• +۵ مورد دیگر

Gretchen Helmke is the Thomas H. Jackson Distinguished University Professor in the Department of Political Science at the University of Rochester, serving as Faculty Director of the University of Rochester's Democracy Center. She holds a Ph.D. in Political Science from the University of Chicago (2000) and has held fellowships at the Kellogg Institute for International Studies (Notre Dame), Harvard’s Weatherhead Center, and the Woodrow Wilson International Center for Scholars. Her research focuses on political institutions, judicial politics, democratic norms, and institutional instability in Latin America and the United States. Recent work includes analyzing democratic erosion, selective accountability for corruption in democracies, and the role of informal institutions. Her current book project examines the political dynamics of prosecuting democratically elected leaders for corruption, with a transnational comparative lens. Helmke co-founded Bright Line Watch, a non-partisan initiative tracking threats to U.S. democracy. Her publications span leading journals like the American Political Science Review and the Journal of Politics, with major books including *Institutions on the Edge* (2017) and *Courts in Latin America* (2011). Her work bridges theory and practice, addressing real-world challenges in democratic governance and institutional resilience. Key awards include the 2025 Guggenheim Fellowship. Her research has explored topics such as judicial independence, electoral integrity, and the strategic interactions between political actors and legal frameworks.

Raissa DE GRUTTOLAمشاهده پروفایل

پژوهشگر

• Chinese Christianity
• Biblical Translation into Chinese
• Franciscans in China
• +۹ مورد دیگر

Raissa DE GRUTTOLA is a fixed-term Researcher in the Department of Asian and North African Studies at Ca' Foscari University of Venice, where she conducts research under the National Recovery and Resilience Plan (PNRR) on cultural resources for sustainable tourism. Her academic focus lies at the intersection of religious studies, Sinology, and cultural history, particularly in the context of Christianity in China. Her research interests include: The translation of the Bible into Chinese The role of Franciscans and Jesuits in China The thought of Simone Weil in relation to China Chinese Catholic communities in Italy The legacy of Marco Polo Religious and cultural mediation between East and West Her recent scholarly output centers on comparative analyses of Chinese biblical versions, such as the Union Version and the Sigao Bible, and explores how religious texts were adapted within Chinese cultural and theological contexts. These works reflect a deep engagement with translation theory, missionary history, and indigenous religious identity formation. She has obtained the National Scientific Qualification for the position of Associate Professor in Cultures of Central and Eastern Asia, affirming her standing in the Italian academic system. Raissa DE GRUTTOLA actively contributes to the academic community through: Service on the scientific committee of the journal La Nottola di Minerva Participation in the international research group China Historical Christian Database at Boston University Peer reviewing for journals including Religions , Antonianum , and Orientis Aura Teaching Chinese language and culture at both undergraduate and graduate levels She has previously held research fellowships at the University of Perugia and taught at the University of Enna "Kore", demonstrating a sustained commitment to higher education and research in Asian studies.

Hannah Wunschمشاهده پروفایل

استاد

• Critical Care Medicine
• Anesthesiology
• Sepsis
• +۶ مورد دیگر

Hannah Wunsch is a Professor of Anesthesiology at Weill Cornell Medical College , Cornell University. She serves as an Attending Anesthesiologist at NewYork-Presbyterian/Weill Cornell Medical Center. M.D. from Washington University School of Medicine (2003) M.Sc. from London School of Hygiene and Tropical Medicine (2002) A.B. from Harvard University (1997) Her research focuses on critical care medicine , with particular emphasis on sepsis outcomes , mechanical ventilation practices , opioid use in postoperative and ICU settings , and health services research utilizing large administrative datasets. Key trends in her recent publications include ICU staffing models , opioid prescription patterns , mechanical ventilation strategies , and long-term outcomes after critical illness . She has published extensively in top-tier journals like Critical Care Medicine , JAMA , and The Lancet .

Zhenghao Chenمشاهده پروفایل

مدرس

• Computer Vision
• Natural Language Processing
• Machine Learning
• +۳ مورد دیگر

Dr. Zhenghao Chen is a Lecturer in Data Science at the University of Newcastle, affiliated with the School of Information and Physical Sciences. He earned his Ph.D. from the University of Sydney in 2022, following a B.Eng. H1 degree from the same institution in 2017. Prior to his current position, Dr. Chen served as a Postdoctoral Research Fellow at the University of Sydney (2022-2024), a Research Engineer at TikTok (2024), and as a Visiting Research Scientist at Microsoft Research and Disney Research (2022-2023). Dr. Chen's educational background includes: Doctor of Philosophy, University of Sydney (2022) Bachelor of Information Technology (B.Eng. H1), University of Sydney (2017) Dr. Chen's research spans multiple domains within artificial intelligence, with particular expertise in Computer Vision, Natural Language Processing, and Machine Learning. His work in Generative AI has garnered significant recognition, with applications in both academic and industrial settings. His research interests are reflected in his Fields of Research percentages: Deep Learning (30%), Computer Vision (30%), Natural Language Processing (20%), and Multimodal Analysis and Synthesis (20%). His publications in top-tier venues like CVPR, ICCV, ECCV, and journals like IEEE TPAMI demonstrate the breadth and impact of his work. Analysis of Dr. Chen's recent publications (2022-2025) reveals a consistent focus on neural compression techniques, 3D perception, and multimodal AI systems. His work spans medical imaging (CXR bone suppression), video compression, point cloud processing, and neural surface reconstruction. A notable trend is his exploration of efficient AI systems that work well under resource constraints, as evidenced by his involvement in the EMCLR workshop. His research often bridges theoretical advances with practical applications across multiple domains. Dr. Chen has received several prestigious awards: Microsoft Research Asia StarTrack Fellowship (2025) ACM SIGMM Award for Outstanding PhD Thesis in Multimedia Computing (2024) Australia Government Research Training Program (RTP) Fellowship (2019) Google Australia Prize for Excellence in Computer Science (2017) Dr. Chen is actively involved in the academic community, serving on the Program Committee for major AI conferences including CVPR, ICCV, ECCV, SIGGRAPH, AAAI, and others. He also organizes workshops in Multimedia and ICCV conferences, and serves as a reviewer for prestigious journals. His teaching responsibilities include courses on Intelligent Visual Signal Understanding, Video Intelligence and Compression, Database and Information Management, and Computing Fundamentals at both the University of Sydney and University of Newcastle.

• Building Information Modeling (BIM)
• Geographic Information Systems (GIS)
• Digital Twin Technology
• +۳ مورد دیگر

Prof. Bernd Domer is an Associate Professor at the Geneva School of Landscape, Engineering and Architecture (HES-SO) specializing in Building Information Modeling (BIM) , Geographic Information Systems (GIS) , and digital transformation of civil engineering . He leads multiple ongoing research projects including CU_OFROU_PAB (CHF278,844) focused on BIM-GIS workflows for noise barriers, and SousEtoile (CHF50,000) developing subsurface prediction models for urban planning. His work addresses critical challenges in software interoperability and point cloud processing for infrastructure digital twins. BA HES-SO in Architecture (HEPIA) BSc Civil Engineering (EPFL) BSc HES-SO in Civil Engineering (HEPIA) MSc HES-SO in Engineering (HES-SO Master) His research explores digital workflows for infrastructure projects, with over 15 recent publications examining topics like: Semantic segmentation of point clouds (2024) IFC standard optimization (2023) Underground confidence level modeling (2021) Swiss BIM implementation frameworks (2020) Construction waste management platforms (2018) He serves as Head of the MIC Group and co-directs the CAS in BIM Coordination . Active in international committees like EG-ICE and Bauen digital Schweiz , his work bridges academic research with practical implementation through collaborations with HEPIA , HEIG-VD , and institutions like the Swiss Federal Roads Office (OFROU) .

Farah Kamwمشاهده پروفایل

استادیار

• Information Visualization
• Visual Analytics
• Spatial-Temporal Data Analysis
• +۴ مورد دیگر

Farah Kamw is an Assistant Professor in the Department of Computer Science at Wayne State University. With a PhD in Computer Science (2019) from Kent State University, her expertise spans 18 years of software development, academic teaching, and research in information visualization and database management. Education : PhD (Kent State), MSc (University of Zakho), BSc (University of Baghdad) Her research focuses on Information Visualization and Visual Analytics of spatial-temporal data, particularly through 8 publications (2013-2021) addressing urban mobility patterns, trajectory analysis, and geospatial data integration. She has developed several open-source visual analytics tools including TrajAnalytics and SparseTrajAnalytics, applying both document and graph database techniques. Farah teaches core Computer Science courses such as Algorithm Design , Programming Languages , and Database Systems . Her technical skills include Python, C++, Java, SQL, NoSQL databases, and GIS technologies.

Lisa Kalisch Ellettمشاهده پروفایل

دانشیار

• Quality Use of Medicines
• Pharmacy Research
• Adverse Drug Reactions
• +۷ مورد دیگر

Lisa Kalisch Ellett is an Associate Professor at the University of South Australia, where she works at the Quality Use of Medicines and Pharmacy Research Centre. Her research focuses on improving medication use and health outcomes for Australians, with particular emphasis on studying adverse events associated with medicines. Professor Kalisch Ellett's research interests span several critical areas in pharmacy and medication safety. Her work examines quality use of medicines, adverse drug reactions, pharmacovigilance systems, and medication safety issues particularly affecting vulnerable populations such as older adults and people with dementia. She has conducted significant research on medicine shortages in Australia, including recent studies on ADHD medication shortages. Her work also explores polypharmacy issues, antipsychotic medication use in aged care, and innovative approaches to medication safety monitoring through digital health technologies. Analysis of Professor Kalisch Ellett's recent publications reveals a strong focus on practical applications of pharmacy research to improve real-world medication outcomes. Her work spans multiple methodologies including observational studies, database analyses, and consumer-focused research. Key trends in her research include examining medication safety in vulnerable populations, developing better systems for adverse drug reaction reporting, and addressing medication-related challenges in dementia care. Her research often has direct policy implications for improving medication use in the Australian healthcare system. President of the Australasian Pharmaceutical Science Association Member of the Pharmaceutical Society of Australia Professor Kalisch Ellett serves as president of the Australasian Pharmaceutical Science Association and is a member of the Pharmaceutical Society of Australia, indicating her active engagement with professional organizations in her field. While specific details about her advising and grant activities are limited in the available information, her extensive publication record suggests active research supervision and grant-funded projects. As a researcher at the Quality Use of Medicines and Pharmacy Research Centre, Professor Kalisch Ellett contributes to a collaborative research environment focused on optimizing medication use across various healthcare settings. Her work bridges clinical pharmacy practice with population health approaches to medication safety.

Arnab Nandiمشاهده پروفایل

استاد

• Database Systems
• Human-Computer Interaction
• Human-in-the-Loop Data Analytics
• +۵ مورد دیگر

Arnab Nandi is a Professor of Computer Science and Engineering at The Ohio State University, with a courtesy appointment in Biomedical Informatics. He holds leadership roles including Steering Committee Member for the Human-in-the-Loop Data Analytics (HILDA) Workshop and has served as Workshops co-chair for SIGMOD 2025-26 and Demonstrations co-chair for SIGMOD 2024. His research focuses on bridging human interaction and data infrastructure, spanning database systems, human-in-the-loop data analytics, and next-generation query interfaces. Nandi's work emphasizes interactive data exploration through projects like DICE (Distributed Interactive Cube Exploration), GestureDB (Querying Beyond Keyboards), and Omni (Multimodal Data Exploration). His recent research explores integrating LLMs into database education, augmented reality interfaces for data analytics, and multimodal approaches to video querying. Nandi has received numerous honors including the NSF CAREER Award, Google Faculty Research Award, IEEE TCDE Early Career Award, and the University's Alumni Award for Distinguished Teaching. He was also named to Columbus Business First's '40 under 40' and became an ACM Distinguished Member in 2024. As an educator, he teaches courses including CSE 3241 (Introduction to Database Systems), CSE 5242 (Advanced Database Systems), and CSE 5251 (Introduction to Software Startups). His educational innovations include DBTutor, which integrates LLMs into database systems education. At Ohio State, Nandi co-founded the OHI/O Program, which fosters tech culture through hackathons, and The STEAM Factory, an interdisciplinary research collaboration network. Prior to academia, he was founder and CEO of Mobikit, a connected vehicles data analytics startup acquired by Azuga Inc. (a Bridgestone company). His research has been supported by the NSF and industry partnerships, with applications spanning precision agriculture (CropFusion), clinical data pipelines (ICARUS), and interactive visualization systems (Perceptvis).

• Cryptography
• Security
• Blockchain Technology
• +۴ مورد دیگر

Elaine Shi is a Professor at Carnegie Mellon University's Computer Science Department and Electrical and Computer Engineering Department, with an Adjunct Professor appointment at the University of Maryland. Her research spans cryptography, security, blockchain technology, algorithms, and privacy-enhancing techniques. Co-founder of Oblivious Labs, Inc. Co-developer of cryptographic protocols adopted by Signal, Meta, and Google Co-founder of CyLab's crypto seminar series Her work has been recognized with prestigious awards including the Packard Fellowship, Sloan Research Fellowship, ACM Fellow, and IACR Fellow. She has advised numerous PhD students and postdocs, many of whom now hold academic or industry positions. 2023 ACM CCS Test of Time Award 2020 CyLab Distinguished Alumni Award 2016 ONR YIP Award Recent publications focus on advancing cryptographic protocols, privacy-preserving algorithms, and blockchain security, with key contributions in garbled RAM, oblivious computation, and differentially private mechanisms.

Shuangshuang Jinمشاهده پروفایل

دانشیار

• High-Performance Computing
• Parallel Computing
• Distributed Computing
• +۶ مورد دیگر

Dr. Shuangshuang Jin is an Associate Professor in the School of Computing with a joint appointment in the Department of Electrical and Computer Engineering at Clemson University's College of Engineering, Computing and Applied Sciences. Previously, she served as a Senior Research Scientist at Pacific Northwest National Laboratory. Her educational background includes a Ph.D. in Computer Science (2007), M.S. in Computer Science (2003) from Washington State University, and a B.S. in Computer Science (2001) from Wuhan University. Ph.D., 2007 - Washington State University, Computer Science M.S., 2003 - Washington State University, Computer Science B.S., 2001 - Wuhan University, Computer Science Dr. Jin specializes in high-performance computing (HPC), distributed and parallel computing, general-purpose computation on graphical processing units (GPGPU), and HPC-based big data analysis, machine learning, scientific computation, and visualization. Her research focuses on applying these technologies to electrical engineering (power and energy systems, power electronics), automotive engineering, systems biology, and computer graphics. She leads the High-Performance Computing Enabled Science and Engineering (HPCeSE) Lab, where she supervises six PhD students working on HPC implementations for power system dynamic simulation, GridPACK application development, data-driven model-based smart control of power electronics converters, and other cutting-edge projects. Her recent publications demonstrate expertise in accelerating power system simulations, PV inverter reliability assessment, edge computing for power systems, and virtual prototyping of vehicle powertrain systems. The research trends show increasing focus on GPU acceleration, real-time simulation capabilities, and integration of HPC with emerging power system challenges. Junior Faculty Excellence in Teaching award (2021) Churchill Carter Fellowship (2022-2023) Zucker Graduate Education Center PhD Grant (2023) Doctoral Dissertation Completion Award (2023-2024) Outstanding Masters Student in Computer Science award (2022) Dr. Jin has successfully secured multiple grants from DOE, DOD, and other agencies for projects including 'Vehicle Propulsion Digital Twins', 'GridPACK-Wind', and 'Tool for Reliability Assessment of Critical Electronics in PV (TRACE-PV)'. She has advised numerous PhD and Master's students who have gone on to positions at national laboratories and industry. Her HPCeSE Lab maintains strong connections with Pacific Northwest National Laboratory, Fermi National Accelerator Laboratory, and other research institutions, providing students with valuable internship opportunities. Dr. Jin leads the High-Performance Computing Enabled Science and Engineering (HPCeSE) Lab at Clemson University, which focuses on developing optimized HPC-based parallel programming algorithms and architectures to solve complex scientific and engineering domain problems. The lab works on smart grid modeling and simulation, power electronics reliability assessment, ground vehicle systems prototyping, and advanced grid analytics, utilizing OpenMP, MPI, Pthreads, and CUDA/OpenCL on various computing platforms.

Guimu Guoمشاهده پروفایل

استادیار

• Parallel Computing
• Graph Mining
• GPGPU
• +۲ مورد دیگر

Guimu Guo is an Assistant Professor in the Department of Computer Science at Rowan University's College of Science & Mathematics. His research focuses on parallel and distributed computing techniques for large-scale graph mining problems, with applications in bioinformatics and transportation engineering. Ph.D. in Computer Science from University of Alabama at Birmingham M.Sc. in Computer Science from Tongji University Dr. Guo has published extensively in top-tier venues like VLDB, ICDE, and IEEE BigData. His work spans graph mining algorithms, parallel computing, and interdisciplinary applications in transportation and genomics. He actively mentors PhD and Master's students, offering fully funded positions. Key research trends include: Advancing GPU-accelerated graph decomposition techniques Developing distributed frameworks for subgraph querying and task concurrency Exploring parallel algorithms for frequent pattern mining and clique-like subgraphs Scientific Recognition: NSF CRII Award UAB Outstanding PhD Student Award Alabama GRSP Awards (Rounds 15 & 16) Teaching spans from foundational object-oriented programming to advanced graduate courses in parallel programming. His lab group has produced significant contributions to subgraph mining, transportation simulation, and genome assembly systems.

H. V. Jagadishمشاهده پروفایل

استاد

• Database Systems
• Data Science
• Data Integration
• +۴ مورد دیگر

H. V. Jagadish serves as the Edgar F Codd Distinguished University Professor and Bernard A Galler Collegiate Professor of Electrical Engineering and Computer Science at the University of Michigan's College of Engineering. He directs the Michigan Institute for Data Science (MIDAS) and leads the NSF-funded Framework for Integrative Data Equity Systems (FIDES), following a career that included heading AT&T Labs' Database Research Department prior to joining Michigan in 1999. His academic foundation includes a Ph.D. from Stanford University, with prior appointments at AT&T Labs and the University of Illinois. Research spans database systems, data management, and data science, emphasizing data integration across heterogeneous sources and usability for non-technical users through schema design, natural language querying, and analytics with missing data. Current work focuses on equity, ethics, and fairness in AI, developing methods to identify and mitigate data inequities while ensuring societal benefits of data science. His white papers and National Academies presentations have shaped big data research agendas. Major honors include: Fellow of the ACM (2003) Fellow of the AAAS (2018) ACM SIGMOD Contributions Award (2013) David E Liddle Research Excellence Award (2008) Stephen S. Attwood Award Distinguished Faculty Award from the University of Michigan (2019) He has secured multiple NSF grants (IIS 0741620, IIS 1017296, IIS 1250880, 1741022, 1934565) supporting database usability and data equity research, mentored numerous graduate students, and created the widely adopted Data Science Ethics MOOC available on EdX, Coursera, and FutureLearn. His h-index of 96 reflects 200+ major publications and 38 patents. As MIDAS Director, he oversees university-wide data science initiatives while leading the EECS database research group and formerly directing the Software Systems Laboratory. His FIDES institute remains central to developing equitable data systems, with ongoing work expanding into AI policy frameworks.

Anna Hattonمشاهده پروفایل

مدرس ارشد

• Sensory stimulating footwear devices
• Balance rehabilitation
• Gait analysis
• +۵ مورد دیگر

Dr. Anna Hatton is a Senior Lecturer at the School of Health and Rehabilitation Sciences , The University of Queensland. As Co-Director of the UQ Centre for Neurorehabilitation, Ageing and Balance Research and Associate Editor for Gait & Posture , she leads interdisciplinary research into sensory-based rehabilitation technologies. Her work bridges clinical practice with engineering innovation, focusing on footwear devices for balance enhancement. Research themes: novel textured/vibratory insoles , neurological gait analysis , age-related mobility Key funding: NHMRC IDEAS Grants , Bionics Queensland Challenge , Diabetes Australia , PA Research Foundation Her Young Tall Poppy Science Award (2016) recognizes contributions to plantar sensory stimulation. Current supervised projects explore bionic insole neurophysiology , combat sports injury prevention , and sport performance optimization . Media engagements focus on electromyography , sensorimotor function , and footwear interventions .

Amir Aryaniمشاهده پروفایل

دانشیار

• Data Science
• Social Data Analytics
• Public Health Informatics
• +۵ مورد دیگر

Amir Aryani is an Associate Professor at the School of Business, Law and Entrepreneurship , Swinburne University of Technology . He leads the Social Data Analytics (SoDA) Lab within the Social Innovation Research Institute , focusing on data-driven solutions for health and social challenges. His work involves large-scale cross-institutional projects with international collaborators including the British Library , ORCID , and NIH . Research Focus: Data modeling, real-time analytics, and information retrieval for social-good initiatives Collaborations: CERN, Data Archiving and Networked Services (DANS), and Global Information Systems (GESIS) His research explores data science applications in mental health, community resilience, and sustainable development. Key trends in his publications include: Mapping research to United Nations Sustainable Development Goals Developing hybrid expert-finding models using NLP and graph algorithms Creating interoperable research graphs for cross-platform discovery Assessing social impact of data projects in non-profit sectors Amir is actively involved in PhD supervision and has secured funding from Australian Research Council , National Health and Medical Research Council , and philanthropic foundations . He also contributes to community data projects through the SoDA Lab , which builds tools for social connection analysis and humanitarian response optimization.

• Chemical modeling of planetary atmospheres
• Exoplanetary atmospheres
• Astrochemistry
• +۷ مورد دیگر

Dr. Éric Hébrard is a Senior Lecturer in Astrophysics at the University of Exeter since 2018, with prior academic roles including NASA Goddard Senior Research Fellow and CNRS Research Associate. His work bridges planetary atmospheres, astrochemistry, and combustion modeling with expertise in 3D chemical simulations. PhD in Physics and Chemistry of Planetary Atmospheres, Université Paris 7 (2006) Magna cum laude Magistère Interuniversitaire de Chimie, ENS Paris (2003) Research focuses on: Exoplanetary atmosphere modeling (hot Jupiters, TRAPPIST-1e) Photochemical kinetics and UV absorption Coupling of atmospheric circulation and chemistry Cross-disciplinary combustion-atmosphere analogs Chemical validation strategies for model accuracy Scientific contributions include: NASA-funded research on organic-rich habitable zones Development of KIDA kinetic database for astrochemistry STFC Consolidated Grant for multi-dimensional chemical models Quantum chemistry integration for Titan atmosphere studies Awards: Higher Education Academy Fellowship (ASPIRE program) NASA Postdoctoral Fellowship (2015-2017) CNES Postdoctoral Fellowship (2007-2009)