جستجوی استاد راهنمای دانشگاهی

Rasha Karakchi serves as a Lecturer in the Department of Computer Science and Engineering at the University of South Carolina's Molinaroli College of Engineering and Computing, where she teaches diverse courses while maintaining an active research program in hardware acceleration and embedded systems. Her academic foundation includes: Ph.D. in Computer Science and Engineering, University of South Carolina (2020) M.E. in Computer Engineering, University of South Carolina (2016) Dr. Karakchi's research centers on high-performance reconfigurable embedded systems, with particular focus on hardware acceleration for automata processing, spiking neural networks, and genomic sequence alignment. Her work bridges theoretical computer science with practical hardware implementation, emphasizing energy efficiency and real-time performance in security-critical applications. Analysis of her 2023-2025 publications reveals a dominant research trajectory applying machine learning to optimize hardware configurations for domain-specific tasks. Key thematic clusters include ML-enhanced automata processors for pattern matching, lightweight encryption engines for embedded security, and specialized architectures for spiking neural network acceleration—all demonstrating consistent innovation in hardware-software co-design for computationally intensive workloads. Her research excellence has been recognized through: SPARC Award (South Carolina's Program to Advance Research and Creativity)

• High Performance Computing
• Reconfigurable Computing
• Embedded Systems
• +۳ مورد دیگر

Brent R. Klein is an Assistant Professor in the Department of Criminology and Criminal Justice at the University of South Carolina's McCausland College of Arts and Sciences . His research focuses on generating refined explanations of violence and empirical evidence for public policy, employing an interdisciplinary approach blending sociological criminology, developmental theory, situational crime prevention, and decision-making frameworks. Ph.D., 2020, Michigan State University, Criminal Justice M.S., 2015, University of Arkansas, Sociology B.S., 2013, University of Arkansas, Sociology & Criminal Justice Dr. Klein's work addresses urgent societal issues including school violence , firearms-related violence , mass shootings , domestic terrorism , and bias-motivated crimes . His methodological expertise centers on quantitative and mixed methods , particularly longitudinal studies and open-source data analysis. Key projects include the National Institute of Justice (NIJ)-funded pathways to school shootings study , American School Shooting Study (TASSS) , and Comparative Gun Violence Project (CGVP) . Dr. Klein's peer-reviewed publications in journals like JAMA Pediatrics , Justice Quarterly , and Crime & Delinquency reveal trends in adolescent firearm violence, gender dynamics in mass shootings, and systemic drivers of bias-motivated crimes. His research is supported by $2.53 million in current grants from the NIJ and U.S. Department of Homeland Security, focusing on extreme risk protection orders, mass violence interdiction, and school violence root causes. Fellow of Academy of Criminal Justice Sciences (ACJS) Doctoral Summit Fellow of National Institute of Justice (NIJ) Graduate Research Fellowship (GRF) Dr. Klein maintains affiliations with leading research consortia including the U.S. Extremist Crime Database (ECDB) , American Terrorism Study (ATS) , and Rockefeller Institute's Regional Gun Violence Research Consortium (RGVRC) . He previously served as a research consultant to the Michigan State Police and the inaugural student board member for ASC's Division on Terrorism & Bias Crimes .

• Violence Prevention
• Criminological Theory
• Gun Violence
• +۷ مورد دیگر

Prof. Anne-Wil Harzing is a Professor of International Management at Middlesex University, focusing on research culture and capabilities. With over 30 years of international academia experience, she previously served as Associate Dean Research at the University of Melbourne. Her work emphasizes multinational corporations (MNCs), expatriate management, language policies, and research impact metrics. She founded the CYGNA network and Positive Academia Network to promote inclusive academic practices and career development. Research Focus: Expatriate identity dynamics, MNC knowledge transfer, linguistic diversity in global firms, and open science initiatives. External Roles: CYGNA Founder (2014), Positive Academia Network Founder (2022), and frequent speaker on academic publishing/research strategies. Her recent articles analyze cultural identity negotiation in global mobility, diversity frameworks in MNCs, and comparative studies of scholarly databases (e.g., Google Scholar vs. Scopus). She advocates for equitable career advancement and gender inclusion in international assignments.

• International Management
• Multinational Corporations
• Expatriate Management
• +۳ مورد دیگر

Alwell Julius Oyet is a Professor of Statistics in the Department of Mathematics and Statistics at Memorial University of Newfoundland. He earned his B.Sc. (1986) and M.Sc. (1992) from the Federal University of Technology, Owerri, Nigeria, and his Ph.D. (1997) from the University of Alberta, Canada. His research focuses on longitudinal data analysis, spatial statistics, time series, statistical computing, multinomial data, and robust methods. He maintains active research collaborations in these areas. Oyet teaches undergraduate and graduate courses including Design of Experiments, Time Series Analysis, Multivariate Analysis, and Computational Statistics. He has extensive experience developing course materials and statistical computing resources.

• Longitudinal Data Analysis
• Spatial Data Analysis
• Time Series Analysis
• +۳ مورد دیگر

Monique Sénéchal is a Professor in the Department of Psychology at Carleton University, affiliated with the Faculty of Arts and Social Sciences. She holds a Ph.D. from the University of Alberta. Her research focuses on child language and literacy development, particularly how natural activities like shared book reading and home literacy practices influence learning. She investigates mechanisms underlying reading and writing acquisition in English and French, emphasizing the cognitive and linguistic foundations of literacy. Her work spans cross-cultural studies, bilingualism, and longitudinal analyses of developmental outcomes. Her research lab, the Child Language and Literacy Research Lab , explores topics such as invented spelling, morphological knowledge, and the impact of parental involvement. Recent studies highlight the role of home literacy environments, maternal mental health, and statistical learning in orthographic systems. Publications from 2016–2025 reflect a focus on cross-linguistic comparisons (e.g., French silent letters), longitudinal developmental trajectories, and interventions to improve literacy skills. Key themes include early vocabulary’s predictive role in later literacy, bilingual language processing, and the efficacy of shared reading practices.

• Child Development
• Developmental Psychology
• Early Childhood Education
• +۳ مورد دیگر

André Brinkmann is a full professor at the Department of Computer Science, Johannes Gutenberg University Mainz, leading the Efficient Computing and Storage Group. He previously served as head of the university's data center (2011–2021) and was an assistant professor at Paderborn University (2008–2011). He holds a Ph.D. in Electrical Engineering from Paderborn University (2004) and managed the Paderborn Centre for Parallel Computing (PC²). His research focuses on algorithm engineering for data center management, cloud computing, storage systems, and high-performance computing (HPC). Notable projects include: Development of ad hoc file systems like GekkoFS and IO-SEA for exascale architectures Optimization of storage systems (e.g., hybrid RAID, SSD garbage collection) Quantum computing compiler research for trapped-ion architectures Leadership in initiatives like the I/O Trace Initiative and BINARY (Big Data in Atmospheric Physics) He serves as Senior Associate Editor of ACM Transactions on Storage and co-chairs major conferences like FAST 2026 and ARCS 2026.

• Data Center Management
• Cloud Computing
• Storage Systems
• +۵ مورد دیگر

Sean Chester is an Assistant Professor in the Department of Computer Science at the University of Victoria, Canada. He is affiliated with the Faculty of Engineering and Computer Science and specializes in scalable data analytics, with a focus on data management, parallel computing, and algorithm engineering. His research interests include GPU-native algorithms, multicore optimization, spatio-temporal data processing, and graph-based analysis. He actively contributes to open-source projects and course materials on platforms like GitHub, emphasizing open science and education. Recent work highlights include advancements in skyline computation, GPU-accelerated algorithms, and efficient processing of large-scale datasets. His publications span topics such as kNN optimization, social network anonymization, and vectorized k-core decomposition. Sean is involved in teaching courses like CSC 485C/586C on data management on modern hardware and CSC 370 on database systems. No scientific awards or grants are explicitly mentioned in the provided texts. He collaborates with students and researchers through platforms like GitHub, where he maintains repositories related to algorithm engineering and educational materials.

• Data Management
• Parallel Computing
• Algorithm Engineering
• +۵ مورد دیگر

Peter Rigby is an Associate Professor at Concordia University's Department of Computer Science and Software Engineering. His research focuses on software engineering practices, AI-driven development tools, test automation, and developer productivity. He has contributed to industry-scale studies at Meta, Chrome, and Ericsson, addressing challenges in code reviews, flaky tests, and release management. Rigby's work emphasizes empirical software engineering and organizational dynamics in large-scale systems. His research interests span AI-assisted coding, test prioritization, code quality, and developer collaboration. He has explored the integration of large language models (LLMs) into release deployment and SQL authoring, aiming to enhance productivity and reduce risks. His studies also address practical challenges like dead code removal and batch testing optimization. Rigby's articles highlight trends in leveraging statistical models and empirical data to improve software development workflows. His work at Meta and Chrome includes analyzing developer focus, workload management, and knowledge retention amid high turnover. The research consistently bridges theory with industrial applications, emphasizing real-world impact.

• Software Engineering
• Artificial Intelligence in Development
• Test Automation
• +۳ مورد دیگر

Dr. Yuan Hong is an Associate Professor and Collins Aerospace Professor at the University of Connecticut's School of Computing, affiliated with the Connecticut Advanced Computing Center (CACC). He previously held an Assistant Professor position at Illinois Institute of Technology. His expertise spans Security, Privacy, and Trustworthy Machine Learning, with a focus on differential privacy, secure computation, adversarial attacks, and robustness in AI systems. He has received notable awards including the NSF CAREER Award and Cisco Research Awards, and his work has been published in top-tier venues like S&P, CCS, NeurIPS, and CVPR. Education: Ph.D. (Rutgers University), M.Sc. (Concordia University), B.Sc. (Beijing Institute of Technology). Research interests include adversarial machine learning, federated learning security, and privacy-preserving techniques. His recent work addresses challenges in machine unlearning, certified defenses, and robust watermarking for graph learning systems. He actively advises students (Ph.D., M.Sc., undergraduate) and leads the DataSec Lab. Current teaching includes Cybersecurity Lab, Computer Security, and Database Organization. Awards include the CCS Distinguished Paper Award (2024) and the Taylor L. Booth Graduate Fellowship for a student. He organizes conferences such as WPES'22 and DBSEC'22, and serves on editorial boards for IEEE Transactions on Dependable and Secure Computing, IEEE Transactions on Information Forensics and Security, and others. Key contributions include frameworks for certified adversarial robustness (e.g., UniCR), differential privacy mechanisms for federated learning, and defenses against poisoning attacks in video and code generation models.

• Security
• Privacy
• Trustworthy Machine Learning
• +۸ مورد دیگر

Annette Evans is an Assistant Professor of Biology at the University of Saint Joseph (USJ), joining in 2024. Her research focuses on eco-evolutionary dynamics of polymorphic systems and the impacts of invasive species and climate change on native communities. She holds a Ph.D. in Ecology and Evolutionary Biology from the University of Connecticut, an M.S. in Biosecurity and Conservation from the University of Auckland, and a B.S. in Biological Sciences and Geology from the same institution. Prior to USJ, she served as a Lecturer at Yale University (2021), Adjunct Professor at the University of Connecticut (2020–2021), and Teaching Assistant at UConn (2014–2020). Her work integrates ecological modeling and conservation strategies to address invasive species management and climate adaptation. Dr. Evans' research emphasizes how anthropogenic disturbances affect biodiversity and community structure. She has conducted fieldwork in the U.S. and New Zealand, studying salamander morph dynamics, seabird island restoration, and the ecological roles of sugar resources for gecko populations. Her current projects model invasive plant distribution under climate change to guide land management decisions in eastern North America. Her publications span topics including invasive plant geography, climate-driven species shifts, and amphibian conservation. She has collaborated on studies such as the 'Mercury Islands' project, exploring seabird ecosystem recovery, and the 'Priority research needs for amphibian conservation' initiative. Dr. Evans teaches courses in biology and ecology, emphasizing hands-on learning and interdisciplinary approaches to environmental challenges. While no specific grants or awards are listed, her work aligns with emerging priorities in ecological conservation and climate resilience. She contributes to academic programs at USJ, including the Biology B.S. and Environmental Science tracks, fostering student engagement in field research and sustainability initiatives.

• Invasive Species Management
• Climate Change Ecology
• Eco-Evolutionary Dynamics
• +۳ مورد دیگر

Mohammad Soleymani is a Research Fellow at the Swiss Center for Affective Sciences and the Department of Computer Science, University of Geneva, Switzerland. He leads the Multimedia Affective Analysis group within the Computer Vision and Multimedia Laboratory (CVML). His primary affiliation is with the Swiss NSF Ambizione fellowship program. Previously, he was a Marie Curie Fellow at Imperial College London (2012–2014). Education: PhD in Computer Science, University of Geneva, Switzerland (2011) Research Interests: Focuses on emotion recognition, affective computing, and multimodal analysis. His work integrates cognitive appraisal theory, brain-face interaction studies, and emotional analysis in multimedia, including music. He develops tools for implicit emotional tagging and visual interest assessment, leveraging interdisciplinary approaches across computer science and neuroscience. Professional Contributions: Served as Program Chair for ICMI 2018 and ACII 2017. Editor for IEEE Transactions on Affective Computing and guest editor for multiple journals. Active in organizing workshops at major conferences (ACM MM, ICCV, CVPR) and chairs for MediaEval benchmarking initiatives. Awards: Swiss NSF Ambizione Fellowship (ongoing) Marie Curie Fellowship (2012–2014) Grants & Labs: Leads the Multimedia Affective Analysis group. Developed databases such as DEAP (EEG/emotion analysis), Violent Scenes in Movies (MediaEval), and the Emotion in Music dataset. Collaborates on resources like the Visual Interest Database and GIF Interestingness Database.

• Affective Computing
• Multimedia Information Retrieval
• Multimodal Interactions
• +۴ مورد دیگر

Tara Maria Boland is a Postdoc in the Department of Physics at the Technical University of Denmark, specializing in Computational Atomic-scale Materials Design. She maintains an active research profile with significant contributions to materials science infrastructure. Her research spans critical areas of modern computational science: Computational Materials Science and Atomic-scale Modeling Materials Discovery and Design Database Integration and Data Exchange Systems API Development for Scientific Applications 2D Materials and Heterostructures Machine Learning Applications in Materials Science Boland's publication record reveals a dual focus on fundamental materials research and practical computational tools. Her work on the OPTIMADE API has established new standards for materials data exchange, while her contributions to GPAW provide essential infrastructure for electronic structure calculations. The research demonstrates strong international collaboration across 10+ institutions with notable media coverage. As part of DTU Physics' Computational Atomic-scale Materials Design group, Boland collaborates extensively on projects advancing computational methodologies for materials science, with particular emphasis on creating accessible research infrastructure for the global community.

• Computational Materials Science
• Materials Discovery
• Database Integration
• +۳ مورد دیگر

Philip R.O. Payne holds multiple prestigious roles at Washington University in St. Louis and the BJC Health System. As the Janet and Bernard Becker Professor , he leads the Institute for Informatics, Data Science and Biostatistics (I2DB) . He also serves as Vice Chancellor for Biomedical Informatics and Data Science at WashU Medicine and Chief Health AI Officer for BJC Health System and WashU Medicine. Additionally, he is the founding director of the Center for Health AI , a joint initiative between the two institutions. His academic appointments include professorships in General Internal Medicine and Computer Science and Engineering . Dr. Payne’s research focuses on four key areas: AI-driven biomolecular and clinical phenotype analysis , interventional applications of EHRs and clinical decision support systems , human factors and workflow optimization in healthcare IT , and data sharing and analytics platforms for healthcare systems and research initiatives . His work emphasizes leveraging advanced technologies to enhance healthcare outcomes and operational efficiency, such as developing the M3NetFlow AI model for multi-omic data analysis and the Cumulus federated EHR learning system. In terms of awards, he is an elected fellow of the American College of Medical Informatics (ACMI) American Medical Informatics Association (AMIA) American Institute for Medical and Biological Engineering (AIMBE) International Academy of Health Sciences Informatics (IAHSI) He currently serves as president-elect of AMIA, the leading professional organization in Biomedical and Health Informatics. Dr. Payne’s advising and grants narrative involves leading a research group with over 300 publications and fostering interdisciplinary collaboration. While no formal advisees or grant details are explicitly listed, his entrepreneurial ventures include founding digital health companies and advising health/life sciences organizations and venture capital firms. He emphasizes translating academic innovations into real-world solutions. He is affiliated with key labs/teams like the Institute for Informatics (I2DB) , Center for Health AI , and the Collaborative Resource for Intensive care Translational science, Informatics, Comprehensive Analytics, and Learning (CRITICAL) . These teams focus on AI-driven healthcare solutions, data integration, and clinical informatics advancements.

• Artificial Intelligence in Healthcare
• Biomedical Informatics
• Clinical Decision Support Systems
• +۷ مورد دیگر

Dr. H. Kevin Fulk is an Associate Professor of Information Systems in the School of Accounting, Finance, Information Systems, and Business Law at Western Carolina University's College of Business. He holds a Juris Doctor from the University of Kansas School of Law, an MBA from the University of Kansas, and a Ph.D. in Management Information Systems from the University of Houston. His research focuses on information systems implementation challenges, the positive societal impact of technology, and applications of technology in legal practice and access to legal services. Teaching interests include productivity applications, computer networking, IT project management, database management, and ethical technology use. Recent work emphasizes AI in education (e.g., generative AI’s effects on learning and ethics), legal technology (e.g., combating textbook piracy), and organizational compassion through IT. His 2022 article on AI-driven interview preparation won the Best Pedagogy Paper Award. He advises no listed students but has contributed to over 20 scholarly articles addressing topics like ERP implementation, cybersecurity laws, and disruptive innovation. His office is located in 203 Forsyth Building, and he uses pronouns He/His.

• Information Systems Implementation
• Positive Technology Applications
• Legal Technology
• +۵ مورد دیگر

Prof. Xiaokui Xiao is a Professor and Deputy Head (Research & Graduate Matters) at the Department of Computer Science, National University of Singapore (NUS). He previously held an Associate Professor position at Nanyang Technological University (NTU). His academic journey includes a PhD from the Chinese University of Hong Kong (2008) and a postdoctoral stint at Cornell University. His research focuses on data management and analytics, with emphasis on large data algorithms, privacy (e.g., differential privacy), and data mining. Notable contributions include the PrivBayes system for private data release and scalable network embedding techniques. Awarded the 2024 ACM SIGMOD Test-of-Time Award, IEEE Fellowship (2022), and ACM Distinguished Membership (2021), Xiao is also a trustee of the VLDB Endowment and Editor-in-Chief of Proceedings of the VLDB Endowment . He has advised over 30 PhD students and researchers, many of whom hold academic or industry leadership roles. His work bridges theoretical foundations with practical systems, addressing challenges in privacy, scalability, and machine learning integration.

• Data Management
• Data Analytics
• Data Privacy
• +۵ مورد دیگر