جست‌وجوی استاد و پژوهشگر

Andrew Pavloمشاهده پروفایل

دانشیار

• Databases
• Distributed Systems
• Data-Intensive Computing
• +۳ مورد دیگر

Andrew Pavlo is an Associate Professor of Databaseology in the Computer Science Department at Carnegie Mellon University , part of the School of Computer Science . His research focuses on database systems, particularly self-driving architectures, transaction processing, and large-scale analytics. He is a member of the CMU Database Group and Parallel Data Laboratory. His awards include the NSF CAREER (2019), Sloan Fellowship (2018), and ACM SIGMOD Jim Gray Dissertation Award (2014). He co-founded OtterTune, a database tuning startup, though it later ceased operations. Current research interests emphasize autonomous database systems, query optimization, and distributed computing. Recent publications (2024) highlight work on self-driving DBMS, null representation in columnar formats, and UDF optimization techniques. Awards: NSF CAREER Award (2019) Sloan Fellowship (2018) ACM SIGMOD Jim Gray Dissertation Award (2014) Advising: Mentors students in database systems, including Sam Arch, Wan Shen Lim, and William Zhang. Labs/Teams: Leads the Database Group and collaborates with the Parallel Data Laboratory.

Alina Bialkowskiمشاهده پروفایل

مدرس ارشد

• Medical Imaging
• Biomedical Engineering
• Computer Vision
• +۶ مورد دیگر

Dr Alina Bialkowski is a Senior Lecturer at the School of Electrical Engineering and Computer Science , part of the Faculty of Engineering, Architecture and Information Technology at The University of Queensland. Her research focuses on interpretable machine learning and computer vision to enhance AI transparency and solve real-world challenges. Prior to joining UQ in late 2017, she held postdoctoral positions at University College London (2015–2017), where she studied human perception in driving, and Disney Research Pittsburgh (2014), analyzing team sports using spatiotemporal data. Dr Bialkowski earned her PhD and Bachelor of Engineering (Electrical Engineering) from Queensland University of Technology, Australia. Her doctoral research centered on group behavior analysis from visual and spatiotemporal data, with applications in sports analytics and intelligent surveillance systems. Her research interests span medical imaging (especially electromagnetic imaging of strokes), human attention modeling in driving, intelligent transport systems , surveillance systems , and sports analytics . She emphasizes explainable AI to bridge the gap between technical systems and human understanding, employing methods like feature visualization and attribution. Her work also explores sensors for non-invasive imaging and machine learning frameworks to ensure ethical AI. Dr Bialkowski has received significant recognition, including the Best Paper Prize at the 2017 IEEE Winter Conference on Applications of Computer Vision (WACV) . Her research has led to 6 international patents with collaborators such as Disney Research, Toyota Motor Europe, and The University of Queensland, focusing on electromagnetic imaging and AI-driven solutions. She actively contributes to interdisciplinary projects like The Lanyard Project (traffic sensor fusion) and co-authored a SmartSat CRC-funded research report on machine learning for satellites. Dr Bialkowski is available for supervision and advocates for AI systems that integrate human-centric principles into their design and evaluation.

Tong Zhangمشاهده پروفایل

استاد

• Computer Systems
• Memory and Data Storage
• Computer Architecture
• +۴ مورد دیگر

Tong Zhang is a Professor in the Electrical, Computer and Systems Engineering Department at Rensselaer Polytechnic Institute (RPI). He joined RPI in 2002 as an assistant professor, advancing to associate professor in 2008 and full professor in 2013. His research focuses on computer systems, particularly memory and data storage across software and hardware stacks, with interdisciplinary applications in computer architecture, VLSI signal processing, and error correction coding. He holds a B.S. and M.S. from Xian Jiaotong University (China) and a Ph.D. from the University of Minnesota. His work emphasizes energy-efficient storage solutions, transparent compression, and hardware-software co-design. Notable contributions include innovations in SSD arrays, computational storage drives, and database systems. He is an IEEE Fellow and maintains affiliations with RPI's Computer Science programs. Research interests span memory systems optimization, storage architectures, and emerging technologies like CXL-based AI acceleration. His publications highlight advancements in reducing energy consumption, improving data deduplication, and enhancing B+-tree performance on modern storage hardware. Awards: IEEE Fellow (2023) Grants/Advising: Extensive grant-funded research in storage systems; no student advisees explicitly listed. Labs/Teams: Engaged in interdisciplinary collaborations within RPI's computational storage and memory research groups.

• 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.

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.

Jens Lauritsenمشاهده پروفایل

استاد

• Public Health
• Injury Prevention
• Trauma Research
• +۱۲ مورد دیگر

Jens Lauritsen is a Professor at the Department of Clinical Research, Faculty of Health Sciences, University of Southern Denmark, and is affiliated with Odense University Hospital (OUH) and the Research Unit of Orthopaedic Surgery in Odense. His interdisciplinary work bridges clinical orthopaedics, public health, and injury prevention. His research interests focus on trauma epidemiology, injury prevention, public health policy, and medical informatics. Key areas include concussion trends, pediatric and traffic-related injuries, suicide prevention, and the clinical use of driving simulators for post-accident assessment. He employs nationwide register data and cohort studies to inform evidence-based interventions. The recent publications reflect a strong trend in population-level injury research using Danish national registries, with emphasis on bicycle and pedestrian safety, mental health after self-harm, and technological innovation in orthopaedic rehabilitation. His work combines quantitative epidemiology with practical clinical implementation. Assistant Editor, The Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine (2011) He has supervised several PhD and master’s students and leads or participates in multiple active research projects, including those on suicide prevention, driving simulators, and injury classification. His work is supported by institutional and national research funding. He collaborates extensively with public health agencies, municipal authorities, and clinical teams. Lauritsen is deeply involved in public engagement, contributing to over 695 media appearances on injury prevention, traffic safety, and public health policy. He leads initiatives to modernize clinical documentation and improve preventive strategies based on hospital data.

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.)

• Computer Vision
• Image Processing
• Autonomous Systems
• +۶ مورد دیگر

Antoine Manzanera is a Professor HDR at ENSTA Paris, affiliated with the Unité d'Informatique et d'Ingénierie des Systèmes (U2IS) and the Systèmes autonomes et Robotique (SAR) department. His research focuses on Computer Vision, Image Processing, and Autonomous Systems, with notable contributions to medical imaging applications and robotics. He holds a Habilitation Degree from Université Pierre et Marie Curie (2012) and has taught at ENSTA, Université Paris Sorbonne, and international institutions. BSc Mathematics, Université Claude Bernard Lyon 1 (1991) MSc Theoretical Computer Science, Université Claude Bernard Lyon 1 (1993) PhD Signal and Image Processing, Télécom ParisTech (2000) Research interests span Computer Vision fundamentals, including Video Analysis, Scene Reconstruction, and Autonomous Visual Learning. His work bridges theory and practice, addressing challenges in medical diagnostics (e.g., colonoscopy analysis, Parkinson's biomarkers) and robotics (e.g., drone navigation, autonomous driving datasets). Recent articles highlight advancements in multimodal data fusion, deep learning optimization, and medical imaging tools. Collaborations include projects on synthetic databases for colon depth estimation and Riemannian geometry for oculomotor analysis. His contributions to open-source frameworks like Video++ and educational initiatives (e.g., DroMOOC on drones) further his impact.

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.

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.