جستجوی استاد راهنمای دانشگاهی

Margo I. Seltzerمشاهده پروفایل

استاد

• Systems
• Data Provenance
• File Systems
• +۵ مورد دیگر

Margo I. Seltzer is a distinguished academic and researcher in computer science, serving as Co-Head of the Department of Computer Science at the University of British Columbia and Director of the Berkman Klein Center for Internet & Society at Harvard University. She holds prestigious positions such as Canada 150 Research Chair in Computer Systems and Cheriton Family Chair in Computer Science. Her work spans systems research, data provenance, file systems, databases, and healthcare technology. Seltzer has made significant contributions to the field through her research, including co-founding Sleepycat Software (developers of Berkeley DB), which earned the ACM SIGMOD Systems Award in 2020. She is an ACM Fellow and Sloan Foundation Fellow, among other accolades. Her research interests emphasize interpretable machine learning, graph analytics, and reproducibility in computational experiments. Education: A.B. in Applied Mathematics from Harvard/Radcliffe College; Ph.D. in Computer Science from UC Berkeley. Research Interests: Her work focuses on systems, provenance, and healthcare applications. Key areas include program synthesis, graph partitioning, differential privacy, and anomaly detection in healthcare. She has pioneered projects like CamFlow for provenance-aware security and contributed to frameworks like Tribuo for interpretable machine learning. Publications: Her recent work includes advancements in graph partitioning (CUTTANA), memory translation (Velosiraptor), and interpretable models for medical data (HyperBrain). These reflect her interdisciplinary approach, blending systems research with healthcare and AI. Awards: Beyond the ACM and Sloan honors, she has been recognized for teaching excellence, mentoring, and contributions to open-source software. She serves on advisory boards for the Canadian COVID Alert App and the US National Academies' CSTB. Advising & Grants: While currently focused on postdoctoral researchers, Seltzer has mentored numerous students, earning awards for her mentorship. Her grants include funding from the Swedish Research Council and collaborations with industry partners like Intel. Labs/Teams: Active in the Systopia lab at UBC, focusing on systems research, and involved in interdisciplinary initiatives like the Self-Driving Labs project for automated experimentation.

António Coelhoمشاهده پروفایل

دانشیار

• Computer Graphics
• Virtual Reality
• Serious Games
• +۷ مورد دیگر

António Coelho is an Associate Professor with Habilitation at the University of Porto's Department of Informatics Engineering and a senior researcher at INESC TEC. He coordinates the Computer Graphics and Virtual Environments area within the HUMANISE research group and leads the Doctoral Program in Digital Media. His roles include academic leadership in the European University Alliance for Global Health (EUGLOH). Coelho has been at INESC TEC since 1995 as an Area Manager, focusing on interdisciplinary research projects ranging from EU-funded initiatives to industry collaborations. His teaching spans Computer Graphics, Programming, and Digital Games, reflecting his expertise in Virtual Reality, Serious Games, and Geospatial Systems. Key research interests include procedural modeling, games-based learning, and location-based systems. Over 20 supervised theses demonstrate his mentorship in topics like immersive learning, AR solutions for heritage, and medical applications of serious games. Coelho’s recent work integrates AR/VR into education and healthcare, such as Histopoly (histology teaching) and Spot (melanoma prevention). Collaborative projects like the FRONTOWNS medieval town reconstruction highlight his multidisciplinary approach. He actively contributes to advancing digital media through both academic leadership and cutting-edge research in immersive technologies.

Julie Bernhardtمشاهده پروفایل

استاد

• Stroke Rehabilitation
• Neurorehabilitation
• Clinical Trials
• +۳ مورد دیگر

Professor Julie Bernhardt co-leads The Florey's Stroke theme and directs the AVERT Early Intervention Research Program at The Florey Institute of Neuroscience and Mental Health in Melbourne, Australia. As Australia's foremost stroke rehabilitation clinical trialist, she heads the NHMRC Centre of Research Excellence in Stroke Rehabilitation and Recovery and chairs the International Stroke Recovery and Rehabilitation Roundtable, driving global innovation in post-stroke care. Her research pioneers transformative approaches to stroke recovery through early mobility interventions, hospital environment redesign, and patient-centered rehabilitation. Key focus areas include optimizing dose-response relationships in mobility training, integrating virtual reality for therapeutic environments, and addressing disparities in rehabilitation access. She champions co-design methodologies involving stroke survivors to ensure research directly impacts clinical practice and policy. Analysis of her recent publications reveals a strategic shift toward interdisciplinary collaboration, blending clinical neuroscience with architectural design and digital health solutions. Her work increasingly emphasizes real-world implementation of evidence-based practices across diverse healthcare systems, with growing attention to young stroke survivors' unique needs and telehealth scalability post-pandemic. Her notable awards include: Honorary Life Membership, Stroke Foundation Australia (2018) Australian Financial Review/Westpac 100 Women of Influence (Global category, 2016) Austin Medical Research Foundation Distinguished Scientist (2016) American Heart Association Stroke Rehabilitation Award (2016) Chief Executive Women Scholarship MIT Sloan (2016) Viscount Linley Award, Stroke Association (2016) Male or Female Change Champion of the Year (2015) Professor Bernhardt leads the AVERT Early Rehabilitation Research Group, which operates as a nexus for international collaboration involving 40+ institutions. The group pioneers novel trial methodologies like the multi-arm adaptive AVERT DOSE study while developing practical tools for rehabilitation environments through partnerships with architects and designers. Current initiatives focus on translating research into hospital design standards and community-based rehabilitation frameworks.

Joy Arulrajمشاهده پروفایل

دانشیار

• Database Systems
• Machine Learning
• Data Analytics
• +۳ مورد دیگر

Joy Arulraj is an Associate Professor at Georgia Institute of Technology, affiliated with the School of Computer Science and the Database group. His research focuses on developing innovative data systems for video analytics, non-volatile memory optimization, and self-driving database management systems. Research Interests: Database systems Machine learning Non-volatile memory Self-driving databases Query optimization Geo-distributed data management Notable Research Contributions: Developed EVA , a video analytics system using deep learning Created APOLLO for automated database debugging Designed EQUITAS to minimize SQL computation overlap Explored NVM-based database architectures ( BzTree , Write-Behind Logging ) Investigated self-tuning databases Key Awards: IEEE Rising Star Award Students: Co-advised multiple graduate students including Pramod Chunduri, Gaurav Tarkok Kakkar, and Jiashen Cao Graduated students: Xinyu Liu, Qi Zhou, Jinho Jung Labs & Teams: Member of Georgia Tech's Database group Collaborates with international institutions (MIT, Stanford, Microsoft Research, etc.)

Ernest Tenienteمشاهده پروفایل

استاد

• Software Engineering
• Database Systems
• Conceptual Modeling
• +۴ مورد دیگر

Ernest Teniente is a full professor at the Universitat Politècnica de Catalunya — BarcelonaTech and director of the inLab FIB . He specializes in software engineering, databases, and IoT systems, with a focus on conceptual modeling, data integration, and automated reasoning. His research spans 20 years, yielding over 60 peer-reviewed publications and leading roles in national/international projects like SUDOQU and DAGIA. He has supervised numerous students across BSc, MSc, and PhD levels, contributing to projects such as an AI-based police patrol tool and semantic IoT infrastructure monitoring. Teaching experience includes undergraduate/postgraduate courses on software analysis, requirements engineering, and advanced databases. He has collaborated with institutions like Mossos d’Esquadra and Barcelona City Council on projects like the Artificial Intelligence-assisted police patrol manager and LinDaFIX for social welfare data analysis. His work bridges academia and industry, emphasizing practical applications in transportation optimization (SORT project) and cybersecurity. Research Highlights : Conceptual modeling and automated reasoning for database schemas IoT semantic integration and critical infrastructure monitoring Artifact-centric business process modeling in UML Projects : SUDOQU (data quality via ontologies) DAGIA (threat detection in ICT infrastructures) REMEDiAL (ontology-based software development) He regularly serves on program committees for top conferences and has coordinated projects funded by Spain’s Ministry of Science. His labs and teams, notably inLab FIB, drive innovation in AI applications, DevOps benchmarking, and IoT ecosystems.

• Traumatic Brain Injury
• Neurorehabilitation
• Cognitive Recovery
• +۵ مورد دیگر

Thomas Novack is a Clinical Professor in the Department of Physical Medicine & Rehabilitation at the University of Alabama at Birmingham's School of Medicine. He holds a Doctor of Philosophy in Psychology from the University of Tennessee System and an MA in Experimental Psychology from Wake Forest University. His research focuses on neurorehabilitation outcomes following traumatic brain injury (TBI), with interdisciplinary collaborations across neuroscience, psychology, and public health. Dr. Novack's research examines cognitive recovery trajectories, medical decision-making capacity, driving rehabilitation, sleep disorders, and long-term psychosocial outcomes in TBI populations. His longitudinal studies utilize large-scale datasets like the TBI Model Systems National Database to identify predictors of functional recovery and comorbidities. His publications demonstrate consistent focus on translating clinical findings into rehabilitation frameworks, with emphasis on personalized interventions, outcome measurement, and quality-of-life improvements. Research frequently addresses both acute and chronic phases of TBI recovery across diverse demographics. Awards: Roger G. Barker Award (2015), Fellow distinctions (2001, 2006, 2011), Non-Physician Healthcare Provider of the Year (2006) Advising: Mentored 11+ graduate students in neuropsychology and rehabilitation research Grants: Principal investigator for federally funded projects including the TBI Model System (Administration for Community Living) and DOD-funded studies on neuroplasticity and dementia care Dr. Novack directs research initiatives within UAB's Comprehensive Neuroscience Center and maintains active clinical research programs focused on evidence-based rehabilitation protocols.

• In-Memory Databases
• Data Stream Processing
• Database Systems
• +۱۲ مورد دیگر

Matthias Uflacker is a Professor at the Hasso Plattner Institute (HPI), University of Potsdam, Germany, where he conducts research in database systems, in-memory computing, and data-driven enterprise applications. His work bridges systems research and practical applications in Industry 4.0, education, and bioinformatics. University: University of Potsdam School: Hasso Plattner Institute Department: Department of Digital Engineering Research Focus: In-Memory Databases, Stream Processing, Causal AI, and Database Education His research interests span in-memory database systems , real-time data stream processing , GPU-accelerated analytics , and causal structure learning . He also contributes to computer science education , particularly in agile software engineering and interactive learning tools for K-12. The recent publications reflect a strong trend in enterprise data management , with a focus on benchmarking (e.g., ESPBench), performance optimization (e.g., Kafka, Hyrise), and intelligent decision support using causal models in industrial contexts. His work increasingly integrates AI for monitoring and automation in manufacturing and e-commerce. He has co-authored numerous publications in top-tier venues such as VLDB, ICDE, EDBT, and KDD, often in collaboration with Hasso Plattner and other HPI researchers. Matthias Uflacker leads and contributes to research projects on autonomous database systems , dynamic pricing simulations , and educational technology platforms for programming exercises. His team develops tools for real-time data integration, causal analysis, and classroom software engineering assessment.

Seongbae Limمشاهده پروفایل

استاد

• Innovation Management
• Blockchain Technology
• Service Management
• +۳ مورد دیگر

Seongbae Lim serves as Professor of Information Systems within the Department of Finance and Quantitative Management at St. Mary's University, San Antonio. His expertise spans IT-driven innovation, blockchain technology, and database management, with prior academic appointments at the University of Nebraska-Lincoln and SUNY Geneseo. Lim maintains active leadership in global academic initiatives including UN collaborations and international keynote engagements. His educational foundation includes a Ph.D. in Business from the University of Nebraska (2003), M.A. from Sogang University, South Korea (1999), and B.B.A. from Kyonggi University, South Korea (1997). These credentials underpin his interdisciplinary approach to complex business challenges. Lim's research synthesizes innovation management , blockchain applications , and service systems with distinctive focus on convergence strategies and entrepreneurial ecosystems. His methodology bridges theoretical frameworks with real-world implementation, particularly evident in cross-cultural studies spanning Asia, Europe, and North America. The Living Innovation paradigm represents his signature contribution to value creation theory. Publication trends reveal progressive deepening of blockchain governance models alongside expanding socio-technical dimensions of innovation. Recent works integrate religious/cultural variables into entrepreneurial psychology while earlier research established foundational co-creation frameworks for manufacturing SMEs. This trajectory demonstrates consistent evolution from technical implementation toward holistic societal impact. Marquis Who's Who in America (continuous listing since 2005) Marquis Who's Who in the World (continuous listing since 2005) As director of operations for the Pan Pacific Business Association and secretary general of the Global Forum for Building School Bullying Prevention Systems, Lim drives cross-border academic collaboration. His editorial roles at Service Business and Journal of Convergence Information Technology further extend his influence, while Guideposts columns on spiritual capital demonstrate unconventional interdisciplinary reach. Current activities include advising doctoral candidates and developing blockchain governance frameworks for public institutions.

Margo Seltzerمشاهده پروفایل

استاد

• Computer Systems
• Operating Systems
• Database Systems
• +۷ مورد دیگر

Margo Seltzer is a Professor and Co-Head of the Department of Computer Science at the University of British Columbia (UBC). She holds the Canada 150 Research Chair in Computer Systems and the Cheriton Family Chair in Computer Science. Her research focuses on computer systems, including operating systems, databases, data provenance, graph analytics, and interpretable machine learning. She is also involved in educational initiatives and has held leadership roles in academia, including serving as Dean of Computer Science and Engineering at Harvard University. Education: PhD in Computer Science from UC Berkeley (1992), AB in Applied Mathematics from Harvard (1983). Professional roles include Chief Technology Officer at Sleepycat Software and architect at Oracle Corporation. She has received prestigious awards such as the ACM Athena Lecturer Award, Killam Teaching Prize, and membership in the National Academy of Engineering. Research Interests: Systems, databases, transaction processing, provenance capture, healthcare informatics, and cybersecurity. Her work emphasizes practical applications of systems research, including optimizing storage, improving operating system performance, and enhancing data security. She has contributed to open-source projects like Berkeley DB and CamFlow provenance system. Key Contributions: Developed systems for provenance-aware storage, sparse decision trees (e.g., GOSDT), and intrusion detection (FRAPpucino). She advocates for reproducible research through tools like Encapsulator and Rclean. Her teaching and mentorship have influenced countless students and junior faculty in computer science. Awards: ACM Athena Lecturer (2023), SIGMOD Systems Award (2020), USENIX Lifetime Achievement Award (2019), and election to the American Academy of Arts and Sciences (2021). Her work bridges theoretical computer science with real-world applications, emphasizing both technical innovation and societal impact.

• Cyber Autonomy
• Binary Analysis
• Game Theory
• +۴ مورد دیگر

Tiffany Bao serves as an Assistant Professor at Arizona State University's School of Computing and Augmented Intelligence and holds the strategic position of Associate Director of Research Acceleration within the Center for Cybersecurity & Trusted Foundations (part of the Global Security Initiative). Her dual role bridges cutting-edge academic research with real-world cybersecurity infrastructure development, focusing on creating autonomous defense systems through interdisciplinary collaboration. Her educational foundation includes a Ph.D. from Carnegie Mellon University, where she earned the prestigious Presidential Fellowship. This rigorous training underpins her technical expertise in low-level system security and analytical frameworks. Dr. Bao's research program centers on cyber autonomy, specializing in binary analysis techniques and game-theoretical defense strategies. She pioneers methods for vulnerability discovery, exploitation mitigation, and fraud detection, with particular emphasis on making security systems self-adaptive. Her work integrates machine learning with traditional security paradigms to address evolving threats in software ecosystems and financial platforms. Analysis of her 15 most recent publications reveals a strong trajectory toward explainable AI-driven security solutions, with significant output in phishing detection (27% of recent work), fraud prevention systems (20%), and advanced binary analysis techniques (33%). Notably, 40% of her 2024-2025 publications combine game theory with practical defense mechanisms, reflecting her signature approach to cybersecurity as a strategic interaction space. Her distinguished contributions have earned recognition through: Carnegie Mellon University Presidential Fellowship NSA's Best Scientific Cybersecurity Paper award Dr. Bao actively mentors graduate researchers through thesis supervision (CSE 599/799) and directs advanced security courses including Computer Systems Security (CSE 466) and Software Security (CSE 545). Her administrative leadership in research acceleration indicates substantial grant management responsibilities, though specific funding sources aren't detailed in available materials. She maintains strong industry-academia connections through longitudinal studies on client-side security solutions. As a core contributor to ASU's Center for Cybersecurity & Trusted Foundations, she drives initiatives in reproducible vulnerability research and trusted computing architectures. Her lab environment emphasizes state-aware security systems, with recent work on deep-state fuzzing and taint analysis optimization demonstrating practical applications for open-source software ecosystems.

Zhixiang Chenمشاهده پروفایل

مدرس

• Computer Vision
• Machine Learning
• Human Analysis
• +۲ مورد دیگر

Dr. Zhixiang Chen is a Lecturer in Machine Learning at the Department of Computer Science, University of Sheffield, and an active member of both the Machine Learning and Computer Vision research groups. Previously, he held postdoctoral positions at Imperial College London and Tsinghua University. Education: PhD in Computer Science, Tsinghua University, China B.Eng. in Computer Engineering, Xi'an Jiaotong University, China His research focuses on advancing Computer Vision and Machine Learning through human analysis, object detection, and image retrieval systems. Recent work integrates deep learning for industrial applications like PCB inspection and autonomous systems, while earlier contributions pioneered video hashing techniques for efficient multimedia search. His methodology emphasizes robust feature representation and scalable algorithm design. Publication trends reveal a strategic shift from foundational hashing research (2016-2019) toward applied 3D vision and industrial automation (2020-2024), with increasing emphasis on uncertainty-aware models and sensor fusion for real-world deployment. Scientific Awards: China Society of Image and Graphics Doctoral Dissertation Award (2019) IEEE International Conference on Multimedia and Expo Best Paper Award (2018) China National Postdoctoral Program for Innovative Talents (2017) Dr. Chen currently leads the EPSRC-funded project 'VIM: towards a Vision based System for Inventory Management with Deep Learning' (2024-2026, £46,354) as Principal Investigator. He serves as a Grant Reviewer for UKRI-FLF and NSFC, Senior Program Committee Member for AAAI 2023, and regularly reviews for top-tier conferences (CVPR, ICCV, NeurIPS) and journals (IEEE T-PAMI, IEEE T-MM). As a core member of Sheffield's Machine Learning and Computer Vision research groups, he contributes to collaborative projects involving industrial partners and interdisciplinary teams focused on AI-driven solutions for healthcare, manufacturing, and autonomous systems.

• Empirical Legal Studies
• Law and Economics
• Law and Technology
• +۶ مورد دیگر

Jerrold SOH is an Assistant Professor of Law at the Yong Pung How School of Law, Singapore Management University (SMU), serving concurrently as Deputy Director of the Research Programme in Computational Law at the Centre for Digital Law. He holds an LL.M. from Harvard University and dual first-class honors degrees in Law (LL.B.) and Economics (B.Soc.Sci.) from the National University of Singapore (NUS). His academic journey includes roles as Deputy Director at the Centre for Computational Law (2021–2024) and Lecturer of Law at SMU (2018–2020). SOH’s research focuses on empirical legal studies, law and technology intersections, and computational methods in jurisprudence. He investigates topics such as judicial citation patterns, algorithmic accountability, AI-driven legal systems, and tort liability for automated vehicles. His work often bridges legal theory with data science, exemplified by projects like legal text formalization, network analysis of case law, and blockchain applications in property law. SOH has published widely in journals like the Asian Journal of Comparative Law , Frontiers in Physics , and American Business Law Journal , with recent work addressing AI legal implications, blockchain land transfers, and antitrust regulation. He is a Chief Data Scientist at Lex Quanta Pte Ltd and has received honors such as the SMU START Overseas Postgraduate Scholarship and multiple Dean’s Lists at NUS. His professional contributions span computational law infrastructure development, legal innovation advocacy, and educational initiatives in technology law. Current research priorities include AI ethics in legal contexts, control-centric liability frameworks, and empirical analyses of judicial decision-making processes.

Margo Seltzerمشاهده پروفایل

استاد

• Computer Systems
• Data Management
• Machine Learning
• +۵ مورد دیگر

Margo Seltzer is the Canada 150 Research Chair in Computer Systems and Cheriton Family Chair in Computer Science at the University of British Columbia (UBC), where she is a Professor in the Department of Computer Science, Faculty of Science. She currently serves as co-Head of the UBC Computer Science Department, managing its academic and operational affairs. Her research focuses on systems, provenance, machine learning, and security, with notable contributions to graph databases, program synthesis, and reproducibility frameworks. She holds prestigious awards including election to the Royal Society of Canada (2023) and was nominated for the ACM Athena Lecturer Award. Her work emphasizes interdisciplinary applications, such as healthcare anomaly detection and interpretable AI models for datasets with missing values. Dr. Seltzer leads the Systopia research group, which explores systems and machine learning intersections. Recent projects include Velosiraptor (code synthesis for memory translation), HyperBrain (anomaly detection in brain networks), and NetShaper (differentially private network security). She actively publishes in top conferences like NeurIPS, ICML, and USENIX. Her lab develops tools like Provenance-Aware Storage Systems (PASS) and frameworks for reproducible research. She mentors postdoctoral researchers but is not currently admitting new graduate students, emphasizing alignment between student interests and her research areas.

• Legal Information Management
• Law Librarianship
• Technology in Legal Practice
• +۳ مورد دیگر

David Whelan serves as Assistant Professor and Director of Law Library & Instructional Technology at the University of Illinois Chicago School of Law, where he integrates academic instruction with leadership in legal information systems and technology infrastructure. His research focuses on practical applications of technology in legal environments, including digital library management, cloud-based legal practice solutions, and cost-effective research methodologies. Key areas include electronic licensing negotiation, wireless networking implementation in libraries, and digital marketing metrics for legal services, reflecting his commitment to enhancing accessibility and efficiency in legal information systems. Whelan's publication trajectory from 2000-2024 demonstrates evolving expertise from foundational internet research tools to contemporary leadership development for law librarians and DIY digital analytics, consistently addressing technological adaptation challenges within legal practice and education. No scientific awards or fellowships are documented in the available materials. He has managed research grant projects as evidenced by 2002-03 completed reports, though no student advisement or current grant funding details are provided. His administrative role as Library Director encompasses oversight of instructional technology services at UIC Law. Whelan leads the Law Library and Instructional Technology team, driving the integration of digital resources and infrastructure within the law school's academic framework.

• Chemical Informatics
• Data Science
• Semantic Integration
• +۳ مورد دیگر

Stuart J. Chalk is a Professor in the Department of Chemistry and Biochemistry at the University of North Florida. His research spans Chemical Informatics and Data Science, with a focus on semantic data integration, AI applications in chemistry, and blockchain for research data management. Dr. Chalk's research interests include chemical informatics, data science, and the development of tools for scientific data management. Notable projects include the KnowLedger digital research notebook (funded by NIST in 2021) and an NSF-funded project on semantic integration of heterogeneous datasets from toxicology, medicine, materials, biodiversity, and chemistry. His work also involves machine accessibility of solubility data, enhancements to the IUPAC Gold Book, and automated extraction of chemical property data from PDF files. His recent publications highlight trends in applying artificial intelligence to deep space research, blockchain technology for scientific workflows, and chemical data evaluation standards. These articles reflect interdisciplinary collaborations across chemistry, biology, computer science, and space medicine. Dr. Chalk leads the Chalk Lab, which has produced 27 datasets including the ChemTwins project (digital twins of chemical substances) and tools for processing thermophysical property data. He has secured significant grants from NSF and NIST, demonstrating the impact of his work on scientific data infrastructure.