جست‌وجوی استاد و پژوهشگر

Hyoduk Shinمشاهده پروفایل

استاد

• Supply Chain Management
• Information Technology Economics
• Cybersecurity
• +۶ مورد دیگر

Hyoduk Shin holds the Jimmy Anklesaria Presidential Chair in Innovation and Entrepreneurship as a Professor of Innovation, Information Technology, and Operations at UC San Diego's Rady School of Management. His research bridges operations management, information systems, and strategic decision-making across multiple industries. His educational background includes: Ph.D. from Stanford University M.S. in Statistics from the University of Chicago M.S. in Management Engineering from Korea Advanced Institute of Science and Technology B.S. in Industrial Engineering from Korea Advanced Institute of Science and Technology Professor Shin's research explores critical intersections of supply chain transparency , information economics , and innovation dynamics . He investigates how forecast sharing impacts supply chain coordination, how cybersecurity investments affect open source ecosystems, and how operational constraints shape competitive strategies. His work in pharmaceutical supply chains addresses drug shortages through mandated reporting systems, while his entertainment industry research analyzes release strategies amid digital disruption. This multidisciplinary approach reveals fundamental principles about information value in complex business environments. His publication portfolio (2013-2021) demonstrates consistent contributions to top-tier journals including Management Science , Operations Research , and Information Systems Research , with emerging emphasis on healthcare operations and cybersecurity. Key thematic clusters include supply chain transparency mechanisms, open source software economics, and innovation in constrained environments. His recognition includes: Best paper award at Conference on Information Systems and Technology (2012) Management Science Meritorious Service Award (2011) Lieberman Fellowship from Stanford University (2006-2007) Chairs’ Core Course Teaching Award at Kellogg School of Management While specific grant details aren't documented in available materials, Shin's research program demonstrates sustained external validation through publication in premier outlets and industry-relevant findings. His prior position as Assistant Professor at Northwestern University's Kellogg School indicates progressive academic leadership, and his current named professorship reflects institutional recognition of research impact. The absence of student listings suggests primary focus on independent or collaborative research rather than doctoral supervision.

Christos Gatzidisمشاهده پروفایل

استاد

• Computer Graphics
• Virtual Reality
• Serious Games
• +۵ مورد دیگر

Christos Gatzidis serves as Executive Dean of Bournemouth University's Faculty of Science and Technology since October 2023, overseeing six departments including Computing and Informatics, Creative Technology, and Psychology. Previously Deputy Dean (2021-2023) and Head of Creative Technology Department (2016-2021), he was appointed Professor in Creative Technology in November 2019. The Faculty leads five REF Units of Assessment and secures funding from AHRC, NIHR, and Innovate UK for research spanning digital healthcare, gaming technologies, and cultural heritage applications. His educational qualifications include: PhD in Information Science, City University London (2010) PG Cert in Research Degree Supervision, Bournemouth University (2010) MA in Computer Animation, Teesside University (2003) BSc (Hons) in Computer Studies (Visualisation), University of Derby (2002) Professor Gatzidis specializes in computer graphics with research spanning virtual reality, serious games, and digital healthcare applications. His work bridges technical innovation and practical implementation, particularly in mindfulness prototypes for healthcare and stroke rehabilitation systems. Current projects focus on the multidisciplinary application of gaming technologies in medical contexts, emphasizing user experience and therapeutic outcomes through collaborations with industry partners. His publication record (2014-2025) demonstrates evolving expertise from foundational computer graphics research in terrain generation and deformation to applied work in healthcare, cultural heritage, and music education. Key trends include virtual reality for therapeutic mindfulness, usability studies in mobile gaming, and digital cultural presentation techniques, reflecting a trajectory toward socially impactful technological solutions with strong industry translation. No scientific awards are documented in the provided information. He has supervised PhD students and secured competitive research funding, including two Innovate UK Knowledge Transfer Partnerships. His principal investigator role in a virtual reality mindfulness prototype project exemplifies his approach to translating academic research into practical industry solutions, with current focus on expanding knowledge exchange activities to support the University's civic engagement mission. As Executive Dean, he leads faculty-wide research strategy across six departments, fostering interdisciplinary collaborations particularly in digital healthcare and cultural heritage. His personal research integrates computer graphics expertise with clinical applications through partnerships with healthcare providers and technology companies, driving innovation in therapeutic VR systems and educational gaming platforms.

Giansalvatore Meccaمشاهده پروفایل

استاد

• Data Quality
• Data Analytics
• Data Integration
• +۷ مورد دیگر

Giansalvatore (Gianni) Mecca is a full professor at the Department of Mathematics, Computer Science and Economics at the University of Basilicata. Born in Potenza, he earned his Computer Engineering degree and PhD from Sapienza University of Rome under Prof. Paolo Atzeni. He joined the University of Basilicata in 1995, initially as a research associate and later as an associate professor. He has held visiting positions at the University of Toronto, Qatar Computing Research Institute, Arizona State University, and Roma Tre University. His research focuses on data quality, analytics, integration, and information extraction, alongside cooperative database systems. He teaches courses in computer programming, databases, and web development for Computer Science and Engineering programs. Key initiatives include the Diogene project, which innovates teaching methodologies in procedural programming and database systems, emphasizing layered instruction and dual-language (C++/FORTRAN) approaches. Diogene’s framework tools like pinco (Web MVC) and PdD (questionnaire generator) reflect his contributions to educational software. His work integrates practical coding examples with layered theoretical explanations, emphasizing algorithmic clarity and cross-language comparisons. Publications include methodological papers on educational systems and teaching practices, such as the 2006 Diogene Working Report on certification frameworks. His teaching materials span procedural programming, XML, and object-oriented design, distributed under Creative Commons licenses.

Yading Yuanمشاهده پروفایل

دانشیار

• Artificial Intelligence in Radiation Oncology
• Medical Imaging Analysis
• Data Science Applications in Healthcare
• +۳ مورد دیگر

Yading Yuan, PhD is an Associate Professor of Radiation Oncology (Physics) at Columbia University Irving Medical Center and a member of the Data Science Institute. He holds a PhD in medical physics from the University of Chicago (2010) and completed clinical residency at Harvard Medical Physics Program (2013). His research focuses on AI-driven innovations in radiation oncology, including automated medical image analysis systems, federated learning frameworks for tumor segmentation, and data-driven approaches to personalized cancer treatment. He is certified by the American Board of Radiology and licensed in New York State. Education: PhD in Medical Physics (University of Chicago, 2010); Clinical Residency (Harvard Medical Physics Program, 2013). Research interests include: automated knowledge-based treatment planning, large-scale clinical AI systems, medical image reconstruction algorithms, and panomics integration for precision oncology. His work emphasizes translating data science advancements into clinical practice to improve patient outcomes. Key trends in his publications include federated learning for privacy-preserving medical AI, tumor segmentation in multi-modal imaging (PET/CT, MRI), and AI-driven prediction of treatment outcomes and recurrence risks. Recent work emphasizes decentralized learning architectures and cross-institutional collaboration systems. Scientific Awards: Distinguished Reviewers 2013 (selected by peer review committees) Advising/grants: No specific student names or grant details listed in provided text. His work is supported through institutional and collaborative research initiatives. Labs/teams: Active member of Columbia's Data Science Institute and Radiation Oncology department, contributing to interdisciplinary medical AI research groups.

Jean Provostمشاهده پروفایل

استاد

• Biomedical Engineering
• Biomedical Technology
• Digital Signal Processing
• +۵ مورد دیگر

Jean Provost is a Full Professor in the Department of Engineering Physics at Polytechnique Montréal , with affiliations to the Montreal Heart Institute , IVADO , and the Institute of Biomedical Engineering . His research focuses on ultrasound imaging , cardiac and cerebral vascular imaging , and superresolution image reconstruction using machine learning and optimization . Based on 96 publications, his work emphasizes ultrasound localization microscopy , neural network applications , and microvascular hemodynamics . Education : Ph.D. (Columbia University), MPhil (Columbia University), M.Sc.A. (École Polytechnique Montréal), Engineering Degree (École Centrale Paris), License (Université Paris XI), B.Eng. (École Polytechnique Montréal) Research trends from 15 recent articles include: 3D and dynamic ultrasound localization microscopy for microvascular mapping Deep learning for image reconstruction and neural network pruning Machine learning-driven aberration correction and superresolution imaging Acoustoelectric and cavitation-based imaging techniques Applications in cardiac diagnostics and dementia detection Supervision includes 2 Ph.D. and 8 Master's theses completed at Polytechnique Montréal (2023), covering topics like optical ultrasound detection , microbubble modulation , and spatiotemporal sampling .

Bertram O. Ploogمشاهده پروفایل

استاد

• Autism Spectrum Disorders
• Behavioral Analysis
• Applied Behavior Analysis
• +۱۰ مورد دیگر

Bertram O. Ploog is a Professor at the College of Staten Island, City University of New York, and is affiliated with the CUNY PhD program in Cognition & Comparative Psychology. He teaches courses in behavior analysis and statistics at both undergraduate and graduate levels. Research Interests: His research focuses on autism spectrum disorders, with emphasis on selective attention, stimulus overselectivity, and emotion recognition. He employs behavioral animal models, including studies with squirrel monkeys and dogs, to explore cognition and Theory of Mind. His work extends to the development and evaluation of computer-assisted technologies (CAT) for enhancing social, communicative, and language skills in children with autism. Recent Research Trends: His recent publications reflect a strong focus on attention processes in autism, the use of educational technology and computer games in developmental disabilities, and cross-species cognitive studies. His work bridges experimental psychology, clinical applications, and technological innovation in autism research. Professional Recognition: He is a Board-Certified Behavior Analyst and a licensed psychologist and behavior analyst in New York State. Education and Training: He earned his Ph.D. from the University of California, San Diego, mentored by Laura Schreibman and Ben Williams. His academic foundation was shaped by George Reynolds and Edmund Fantino in experimental behavior analysis. Advising and Grants: While no specific students or grants are listed, his active research and doctoral program affiliation suggest involvement in mentoring graduate students and securing research funding. His ongoing publications and program affiliation indicate sustained scholarly engagement. Labs and Teams: Specific lab or research team names are not mentioned in the available text.

• Obsessive-Compulsive Disorder (OCD)
• Cognitive-Behavioral Therapy (CBT)
• Exposure Therapy
• +۵ مورد دیگر

Brian Zaboski, PhD, is an Assistant Professor of Psychiatry at the Yale School of Medicine. He holds dual expertise as a licensed Connecticut psychologist and Nationally Certified School Psychologist. His primary academic affiliation is with the Obsessive Compulsive Disorder Research Clinic within the Department of Psychiatry. Dr. Zaboski completed his PhD in School Psychology at the University of Florida, gaining clinical experience across school-based to acute inpatient settings. He specializes in cognitive-behavioral therapy (CBT) and exposure-based interventions for psychological disorders, with particular focus on OCD neurobiology and treatment innovation. His research integrates advanced quantitative methods and translational neuroscience to improve exposure therapy efficacy. Key areas include neurobiological network analysis, machine learning applications for OCD severity prediction, and neurofeedback treatment trials. He leads clinical trials investigating psilocybin therapy, pharmacotherapy combinations, and brain network changes in OCD patients. Dr. Zaboski's work has been funded by prestigious grants including the 2022 Brain & Behavior Research Foundation Young Investigator Award. Collaborations include prominent researchers like Christopher Pittenger, Terence Ching, and Michelle Hampson. His publications span peer-reviewed journals in psychiatry, neuroscience, and school psychology, with a focus on OCD mechanisms, treatment innovation, and school-based mental health interventions. Clinical trials he participates in explore novel treatments like troriluzole and psilocybin while investigating biomarkers for treatment response prediction.

• Mathematical Optimization
• Algorithmic Intelligence
• Energy Systems Modeling
• +۵ مورد دیگر

Thorsten Koch serves as Head of the Department of Applied Algorithmic Intelligence Methods within the Division of Mathematical Algorithmic Intelligence at Zuse Institute Berlin (ZIB). His research spans mathematical optimization, energy systems modeling, quantum computing applications, and scientometrics. Koch leads significant research projects including FAN (focusing on AI in scholarly communication), UNSEEN (energy scenarios), HPO-NAVI (research software visibility), and Multi-Energy Models for European Energy System Planning. Koch's research interests center on developing advanced optimization algorithms for complex systems, particularly in energy networks and scientific data analysis. His work bridges theoretical mathematics with practical applications in gas network optimization, wind farm design, portfolio management, and quantum computing. He has pioneered methods for large-scale mixed-integer programming, scenario generation, and the integration of machine learning with traditional optimization techniques. His recent publications demonstrate growing emphasis on quantum optimization, scientometrics, and the application of AI to scientific communication infrastructure. His publication trends reveal a strategic expansion from traditional mathematical optimization into quantum computing applications and scientific data infrastructure. Recent work shows increasing collaboration across disciplines - connecting energy systems analysis with financial modeling, integrating machine learning with optimization solvers, and applying computational methods to scientometrics. The 15 most recent articles highlight three major thrusts: quantum optimization (33%), energy systems modeling (27%), and scientific data infrastructure (40%), reflecting his leadership in both theoretical algorithm development and practical implementation for societal challenges. Koch actively contributes to research infrastructure through leadership roles in projects like KOBV (Berlin-Brandenburg Cooperative Library Network), HDC (Humanities Data Centre), and CIB (future library networks). His work on the DeepGreen initiative focuses on establishing legally secure workflows for implementing open-access components in scientific publication licensing agreements, demonstrating his commitment to open science principles and research data management.

Arti K. Raiمشاهده پروفایل

استاد

• Intellectual Property Law
• Patent Law
• Biotechnology
• +۶ مورد دیگر

Arti K. Rai is the Elvin R. Latty Professor of Law and Co-Director of the Center for Innovation Policy at Duke Law School. She is an internationally recognized expert in Intellectual Property Law , Biotechnology , Administrative Law , and Health Law , with research funded by NIH, NSF, Arnold Ventures, and other institutions. Her work spans peer-reviewed journals like Science , New England Journal of Medicine , and Nature Biotechnology . Recent articles focus on AI challenges in patent law , biologics manufacturing patents , orphan drug policies , and data privacy in medical information commons . She has served in federal advisory roles, including the Department of Commerce and the National Academies’ Forum on Drug Discovery . Key themes in her research include trustworthiness in data-sharing systems , participant-centric governance , and legal frameworks for biomedical innovation . Her policy work addresses drug pricing , patent reform , and government licensing authority .

• Algorithmic and data justice
• Internet studies
• Technology and society
• +۹ مورد دیگر

Juan Carlos De Martin is a Full Professor of Computer Engineering at the Polytechnic of Turin, where he is also co-founder and co-director of the Nexa Center for Internet & Society. He holds a Faculty Associate position at the Berkman Klein Center for Internet & Society at Harvard University and is a member of the Scientific Council of the Treccani Institute and the Steering Committee of Biennale Democracy. He previously served as Vice Rector for Culture and Communication at the Polytechnic of Turin (2018–2023) and as president of its libraries (2007–2015). His research centers on the societal implications of digital technologies, with a strong emphasis on algorithmic and data justice, digital power, and the democratic challenges posed by modern technology. He advocates for a more democratic and ethical technological future, particularly critiquing the dominance of smartphones and promoting digital sovereignty. His recent publications reflect a clear trend toward ethical AI, data protection, and the social impact of algorithms. He has published on gender bias in language models, GDPR compliance tools, and non-discrimination audits in software, demonstrating a sustained commitment to fairness, transparency, and accountability in digital systems. Best Student Paper Award IEEE ISCC 2011 Best Student Paper Award IEEE ICME 2005 Fellow at Harvard University (Berkman Klein Center) (2011–2015, 2016–2024) Faculty Associate at Collège d'études mondos, France (2016) De Martin has advised PhD students like Marco Rondina on Responsible AI and has led numerous EU-funded research projects such as COMMUNIA and DECODE. He has also played a key role in public policy, serving on ministerial working groups on AI and online hate. He is the founder of the Biennale Tecnologia and has authored influential books on the future of universities and technology, all published under Creative Commons licenses. He leads the Nexa Center for Internet & Society, a multidisciplinary research group focused on the legal, economic, and social aspects of the Internet. The center fosters collaboration between computer scientists, legal scholars, and social scientists to address pressing digital challenges.

Daniel Allenمشاهده پروفایل

مدرس

• Human-Animal Relations
• Otter Conservation
• Animal Companionship
• +۳ مورد دیگر

Dr. Daniel Allen is a Lecturer in Human Geography at Keele University's School of Life Sciences, specializing in human-animal relations. An IUCN/SSC otter specialist, his research on otter conservation and dog theft informs policy and advocacy. He led an Environment Agency project on otter predation perceptions and founded the 'Pet Theft Reform' campaign, influencing UK legislation (Pet Abduction Act 2024). His research examines human-animal bonds, including dog theft impacts and mental health benefits. Current projects include 'No pets! Young people’s transitions to campus living,' funded by the Society for Companion Animals Studies. Teaching includes modules on Nature Conservation, Space and Society, More-than-human Geographies, and Animals and Society. He supervises PhD student Emma Randall on eco-therapy. Awards include the Daily Mirror’s Peoples Pet Awards Special Recognition (2021) and the PM’s Points of Light Award (2022). Publications emphasize spatial justice, animal advocacy, and policy impacts, with recent work on pet theft trends and human-animal bonds in crises.

Jürgen Gaussمشاهده پروفایل

استاد

• Quantum Chemistry
• Quantum-chemical treatment of relativistic effects
• Quantum-chemical calculation of NMR chemical shifts
• +۷ مورد دیگر

Jürgen Gauss is a Professor of Theoretical Chemistry at Johannes Gutenberg-Universität Mainz, Germany. With over 350 publications and an h-index of 85 (ISI WebOfScience)/96 (Google Scholar), his work focuses on high-accuracy quantum-chemical methods for energy and property calculations. Education: PhD in Theoretical Chemistry (1988), Universität zu Köln Positions: Full Professor (2001-present), Associate Professor (1995-2001), Research Associate (1991-1995), Postdoctoral Researcher (1990-1991) His research revolutionized NMR chemical shift calculations through the GIAO-MP2 scheme, extended to Cholesky decomposition techniques. He pioneered the first CCSD(T)-level analytic second derivatives for magnetic properties and developed the HEAT protocol for sub-kJ/mol thermochemical accuracy. Scientific Awards: Carl-Duisberg Gedächtnispreis (1996) Medal of International Academy of Quantum Molecular Science (1997) Akademiepreis (2003) Gottfried-Wilhelm Leibniz-Prize (2005) Foreign Member, Norwegian Academy of Science and Letters (2018) Advisees: Current PhD students include Sophia Burger, Florian Mast, Max Erichsen, and Malte Hellmann. His group develops the widely-used CFOUR quantum chemistry software package (over 1,000 licenses).

Nicholas Vincentمشاهده پروفایل

استادیار

• Human-Computer Interaction
• Responsible Artificial Intelligence
• Human-Centric Machine Learning
• +۳ مورد دیگر

Nicholas Vincent is an Assistant Professor in the School of Computing Science at Simon Fraser University. His research focuses on Human-Computer Interaction (HCI), Responsible Artificial Intelligence, and Human-Centric Machine Learning. He holds a Ph.D. in Technology and Social Behavior from Northwestern University (2022) and a B.Sc. in Electrical Engineering from UCLA (2016). Education: Ph.D., Northwestern University (2022); B.Sc., UCLA (2016) Affiliations: Simon Fraser University School of Computing Science His work examines the societal implications of AI, including data labor rights, algorithmic governance, and ethical design. Notable contributions include frameworks for measuring attentional agency on digital platforms and studies on collective action in tech contexts. He received the SIGCHI Outstanding Dissertation Award in 2024. Recent publications explore topics like AI ethics, governance of generative models, and Wikipedia's role in content ecosystems. He actively participates in policy discussions through media engagements and conference talks, advocating for public-oriented AI development.

• Nuclear Engineering
• Reactor Physics
• Particle Physics
• +۴ مورد دیگر

Adriaan Buijs is a Professor in the Engineering Physics Department at McMaster University in Hamilton, Canada. He previously held roles at Atomic Energy of Canada Limited (AECL) from 2001 to 2008, including Senior Scientist and Section Head for neutronic overpower protection in CANDU reactors. Education: Master’s and PhD in Experimental Physics from Utrecht University , with research at Stanford Linear Accelerator Center . Academic History: Fellow and Staff Member at CERN (1986–1994), then Full Professor at Utrecht University (1994–2001). Research Interests : Nuclear Engineering : Specializing in Small Modular Reactors (SMRs) and Canadian Supercritical Water-Cooled Reactors (SCWR) . Reactor Physics : Focused on neutron transport calculations , gamma heating estimation , and safety analysis for reactor systems. Particle Physics : Past contributions include studies on photon-photon collisions , charmonium states , and supersymmetric particles at CERN and LEP. Publications include work on nuclear reactor simulations , fuel cycle assessments , and Monte Carlo methods for reactor kinetics. He has served as Associate Chair and Acting Chair in his department.

• Semiconductor Materials
• Laser Crystallization
• Phase Transformations
• +۴ مورد دیگر

Professor James Im serves as Professor of Materials Science in the Departments of Earth and Environmental Engineering and Applied Physics and Applied Mathematics at Columbia University, with an office at 1106 S.W. Mudd (Mail Code 4701). His academic career spans over three decades at Columbia, where he progressed from Assistant Professor (1991-1994) to Associate Professor (1995-2002), and ultimately to full Professor (2002-present), including a tenure as Chair of the Materials Science and Engineering Program (2002-2014). His educational background includes a B.S. with Distinction in Materials Science from Cornell University (1984) and a Ph.D. in Electronic Materials from MIT (1989), followed by postdoctoral research at Caltech (1989-1991). Cornell University: B.S. Materials Science (1984) MIT: Ph.D. Electronic Materials (1989) Caltech: Postdoctoral Scholar (1989-1991) Im's research centers on ultra-rapid phase transitions in beam-irradiated thin films, specifically focusing on laser crystallization of silicon films , energy-beam-induced melting and solidification , and nucleation in discontinuous phase transitions . His work employs experimental, computational, and theoretical approaches to develop innovative semiconductor materials for advanced displays, solar cells, and integrated circuits. Notably, his invention of Sequential Lateral Solidification (SLS) technology has been licensed to major display manufacturers (Samsung, LG, Sharp) and implemented in products by Apple, Blackberry, and Nokia. Current research focuses on advancing the Spot-Beam Crystallization (SBC) platform using fiber lasers for next-generation microelectronics. His publication record spans environmental aerosol studies (2019-2024), oilfield operations technology (2002-2014), and foundational atmospheric research (1980s), reflecting interdisciplinary expertise bridging materials science, environmental engineering, and petroleum technology. The most recent works emphasize low-cost sensor development and aerosol monitoring. Professional recognition includes membership in prestigious societies: Bohmisch Physical Society Sigma Xi Alpha Sigma Mu Materials Research Society American Physical Society Im's research group maintains strong industry connections through technology licensing and collaborative projects, particularly in display manufacturing. His leadership as former department chair demonstrates administrative commitment alongside scientific innovation. The laboratory leverages state-of-the-art laser systems and beam delivery optics for materials development, with recent focus shifting toward environmental monitoring applications while maintaining core semiconductor research.