جست‌وجوی استاد و پژوهشگر

Daragh Byrneمشاهده پروفایل

عضو هیئت علمی

• Human-Computer Interaction
• Internet of Things (IoT)
• Tangible Interaction Design
• +۴ مورد دیگر

Daragh Byrne is an Associate Teaching Professor at the Carnegie Mellon University School of Architecture , with courtesy appointments in the School of Design and Human-Computer Interaction Institute (HCII) . Previously an Assistant Research Professor at Arizona State University’s School of Arts, Media and Engineering, he manages the NSF-funded XSEAD project and leads MakeSchools , a catalog of making practices in higher education. PhD in Digital Media from Dublin City University (2011) M.Res. in Design and Evaluation of Advanced Interactive Systems from Lancaster University B.Sc. in Computer Applications from Dublin City University His research explores experiential media systems through Internet of Things and tangible interaction design , focusing on how computational tools can capture human experience and enable multidisciplinary collaboration. Key projects include Sentient Concrete (thermochromic architectural surfaces) and Spooky Technology (speculative design around invisible technologies). He has developed CMU’s Designing for the Internet of Things course since 2016, creating hands-on curricula for connected product design. Recent publications examine creative physical computing education , AI-driven documentation systems , and XR-enabled skill training . Awards include multiple CMU research grants and the CHI 2018 Best Paper Award . He actively advises PhD and Masters students in Computational Design, emphasizing human-centered design and speculative technology research .

• Numerical Modeling
• Geotechnical Engineering
• Renewable Energy Systems
• +۳ مورد دیگر

Dr. Liang Cui is an Associate Professor at the University of Surrey , affiliated with the School of Sustainability, Civil and Environmental Engineering and Institute for Sustainability . With a PhD from University College Dublin (2006) and BE (1st honor) from Tsinghua University (2002) , his career spans geotechnical research and education since joining Surrey in 2009. Key roles: Undergraduate Programme Leader (2020-2022, 2023-on), MSc Programme Leader for Advanced Geotechnical/Civil/Structural Engineering (2022-2023) Professional memberships: Chartered Engineer (CEng), Member of Institution of Civil Engineers (MICE), Fellow of Higher Education Academy (FHEA) His primary research focuses on numerical modeling (DEM/FEM) for geotechnical applications including offshore wind foundations , geothermal energy systems , methane hydrate exploitation , and extra-terrestrial soil mechanics . Secondary interests involve material characterization of polymeric foams , porous media , and biological tissues . Recent 15 publications (2023-2025) demonstrate expertise in soil-structure interaction for renewable energy infrastructure, thermal feedback in groundwater heat pumps, and hypothesis-driven DEM simulations for lunar/martian environments. Collaborative projects span institutions including Tsinghua University , University of Bristol , and Indian Institute of Technology Bhubaneswar . Scientific Awards: Sustainability Fellow (University of Surrey, 2023) Chartered Engineer (CEng) and MICE FHEA for educational contributions Dr. Cui supervises 7 postgraduate researchers and contributes to teaching modules in soil mechanics and energy geotechnics. His work addresses challenges in hybrid marine energy systems , needleless drug delivery , and seismic resilience of critical infrastructure.

Luca Barraمشاهده پروفایل

استاد

• Media Studies
• Television History
• Transnational Media Circulation
• +۵ مورد دیگر

Luca Barra is Full Professor of Television and Digital Media at the Department of Arts, University of Bologna. His research focuses on media studies, particularly television history and contemporary evolution, transnational circulation of content, serialization, and comic/humorous genres. He has coordinated the Master's Degree in Information, Cultures and Media Organization since 2021 and serves as editor-in-chief of VIEW. Journal of European TV History and Culture. University of Bologna, Department of Arts Research areas: Television History, Transnational Media, Digital Transformation, Italian TV Production Barra's work examines the international mediation of ready-made TV formats, Italian streaming partnerships, and the cultural implications of digital television. His recent articles analyze dystopian narratives, sitcom reception in Italy, and the redefinition of celebrity during the pandemic. He contributes to academic discourse through editorial roles in journals like SERIES and Comunicazioni Sociali. His publications include monographs on Italian television programming, sitcoms, and co-edited volumes exploring European premium TV fiction and digital media frameworks. Barra has led research projects such as ATLas and F-ACTOR, and collaborates with international institutions including Brown University and NECS.

Shawn Litsterمشاهده پروفایل

استاد

• Energy Conversion Technologies
• Fuel Cells
• Batteries
• +۱۵ مورد دیگر

Shawn Litster is a Professor in the Department of Mechanical Engineering at Carnegie Mellon University, where he leads cutting-edge research in sustainable energy conversion technologies. He is affiliated with the Wilton E. Scott Institute for Energy Innovation and serves as a Scott Institute Energy Fellow, contributing to major national initiatives in hydrogen and fuel cell systems. His work is supported by significant funding from the U.S. Department of Energy (DOE), ARPA-E, and the Office of Naval Research. Education: Ph.D. in Mechanical Engineering, Stanford University (2008) Master of Applied Sciences, University of Victoria (2005) Bachelor of Engineering, University of Victoria (2004) His research focuses on micro- and nanoscale transport phenomena in electrochemical energy systems such as fuel cells, batteries, and electrolyzers. Key interests include electrochemistry, multiphase flow in porous media, microfluidics, catalytic gasification, and computational fluid dynamics . He pioneers innovations in ionomer-free electrodes, high-oxygen-permeability materials, and low-iridium anodes to improve efficiency, durability, and cost-effectiveness. His recent publications (2021–2025) reveal a strong trend toward advanced diagnostics, operando characterization, machine learning integration, and multiscale modeling of fuel cell and electrolyzer systems. These works emphasize performance optimization, degradation analysis, and material innovation for heavy-duty and transportation applications. Scientific Awards: George Tallman Ladd Research Award, Carnegie Mellon University National Science Foundation CAREER Award Lieutenant Governor’s Silver Medal, University of Victoria Best Paper/Presentation Award, The Electrochemical Society Best Paper/Presentation Award, American Society of Mechanical Engineers (ASME) Litster has secured over $50 million in research funding as a sub-awardee in DOE hydrogen projects and led a $3.2M ARPA-E OPEN 2021 project on disruptive fuel cell electrodes. He is an inventor on two U.S. patents related to fuel cell design. He advises graduate students and leads the Laboratory for Transport Phenomena in Energy Systems , where his team develops novel materials and diagnostics for next-generation energy technologies.

David Orrego-Carmonaمشاهده پروفایل

دانشیار

• Translation Studies
• Audiovisual Translation
• Subtitling
• +۷ مورد دیگر

David Orrego-Carmona is an Associate Professor in Translation Studies at the University of Warwick, where he also serves as Deputy Director of Graduate Studies. He is affiliated with the School of Modern Languages and Cultures, specifically within the Translation and Transcultural Studies team. Prior to joining Warwick in 2022, he held academic positions at Aston University and was a visiting lecturer at the University of Warsaw. He maintains a research associate position at the University of the Free State in South Africa. His academic background includes a PhD and MA in Translation and Intercultural Studies from Universitat Rovira i Virgili, Spain, and a BA in English-French-Spanish Translation from Universidad de Antioquia, Colombia. David Orrego-Carmona’s research centers on the intersection of translation, technology, and users. He investigates how translation technologies empower both professional and non-professional translators, and how the democratization of these tools transforms users into active participants in translation processes. His work employs mixed-methods approaches, including eye-tracking experiments, to study subtitle reception, machine translation adoption, and the societal implications of AI in media localization. He is particularly interested in how translation fosters social equity and inclusion in multilingual societies. His recent publications reflect a strong trend in empirical and technological aspects of audiovisual translation. Key themes include AI-powered media localization, viewer comprehension under various subtitling conditions, the quality of machine-translated subtitles, and the methodologies for studying subtitle reading through eye-tracking. His research bridges academic inquiry with real-world applications, often involving collaboration with industry and public sectors. He is actively involved in the academic community, serving as treasurer of the European Association for Studies in Screen Translation (ESIST), associate editor of Translation Spaces , and deputy editor of JoSTrans, the Journal of Specialised Translation . He also contributes to organizing academic events such as IPCITI 2025 at the University of Warwick. David teaches modules on digital translation, audiovisual translation, translation technologies, and professional aspects of translation. He welcomes PhD proposals aligned with his research interests. He supervises students in areas related to subtitling, machine translation, and translation technology, though specific student names are not listed in the provided texts. He has led interdisciplinary initiatives to connect academic research with private and public sector challenges in translation and communication. He leads research projects focused on media localization, translation reception, and the impact of AI, often involving collaboration with international scholars. His lab and team activities emphasize experimental methods like eye-tracking and mixed-methods research in audiovisual translation contexts.

• Hydrogeology
• Groundwater Hydrology
• Fractured Rock Hydrology
• +۳ مورد دیگر

Dr. Farkas-Karay Gyöngyi serves as Assistant Professor at the Department of Hydraulic and Water Resources Engineering within the Faculty of Civil Engineering at Budapest University of Technology and Economics (BME). She teaches core courses including Groundwater (BMEEOVVMV63), Hydrogeology (BMEEOGMMG62), and Hydraulic Engineering, Water Management (BMEEOVVAT43), maintaining office hours Fridays 10:00-12:00 in room K. ép / mf. 12/7. Education: Civil Engineering BSc (2011) Structural Engineering MSc (2013) PhD (2018) Research Focus: Her expertise centers on fractured and karst aquifer systems, conducting hydraulic investigations of complex rock formations, developing methodologies for pumping test evaluation in fractured media, and implementing numerical models for groundwater flow characterization. This work bridges theoretical hydrogeology with practical water resource management applications. Publication Trends: Analysis of her 2013-2017 publications reveals consistent advancement in fractured/karst aquifer characterization techniques. Key contributions include non-linear flow analysis in pumping tests, transmissivity determination from mining operations, and integrated physical-numerical modeling approaches. Her research demonstrates strong methodological rigor across laboratory experiments, field data interpretation, and computational simulation. Scientific Awards: No awards documented. Advising and Grants: Available materials contain no information regarding student supervision, research grants, or funded projects.

• Fluid structure interaction
• Calculus of Variations
• Partial differential equations
• +۱ مورد دیگر

Malte Laurens Kampschulte serves as Assistant Professor at the Department of Mathematical Analysis, Faculty of Mathematics and Physics, Charles University in Prague. He leads research within S. Schwarzacher's fluid structure interaction group and the OP JAK project FerrMion, following his role as Substitute Professor at the University of Leipzig during Summer 2024. His academic credentials include: B.Sc in Mathematics (2009) and Computer Science (2010) from RWTH Aachen M.Sc in Mathematics (2012) from RWTH Aachen Ph.D. in Mathematics (2018) with thesis "Gradient flows and a generalized Wasserstein distance in the space of Cartesian currents" Dr. Kampschulte's research centers on fluid structure interaction, calculus of variations, partial differential equations, and geometric measure theory. His work examines variational aspects of Eulerian-Lagrangian frameworks, relaxation methods for generalized solutions, topological invariants in PDEs, and current transport on manifolds. This integrated approach bridges theoretical analysis with physical applications in continuum mechanics. Analysis of his 2023-2024 publications reveals concentrated focus on three-dimensional fluid-structure systems with viscoelastic solids, compressible fluids, and self-collision phenomena. Key contributions include global weak solution frameworks for contact problems, variational approaches to hyperbolic evolutions, and regularity analysis for free surface dynamics—demonstrating both mathematical rigor and physical relevance. As Principal Investigator for the PRIMUS grant "Qualitative and quantitative Analysis for non-linear non-uniformly elliptic models" (previously held by Anna Balci), he oversees active research funding while mentoring through an open PostDoc position. His leadership extends to the FerrMion project where he develops mathematical frameworks for fluid-matter interactions. Based in the Department of Mathematical Analysis at Charles University, Dr. Kampschulte collaborates within S. Schwarzacher's research group to advance mathematical understanding of fluid-structure systems through both theoretical innovation and computational modeling.

• Numerical Analysis
• Stochastic Partial Differential Equations
• Computational Physics
• +۱۲ مورد دیگر

Prof. Dr. Lubomir Banas is a full-time Professor at the Faculty of Mathematics , University of Bielefeld. His research focuses on numerical analysis of stochastic partial differential equations (SPDEs) , particularly in micromagnetism, phase field models, and stochastic games. He leads Subproject B03 in the SFB 1283 project 'Taming Uncertainty and Profiting from Randomness and Low Regularity in Analysis, Stochastics and Their Applications.' Research Interests: Numerical methods for SPDEs and singular-degenerate PDEs Adaptive finite element techniques and a posteriori estimates Phase field models (Cahn-Hilliard, obstacle potentials) Stochastic games with asymmetric information Computational micromagnetism and magnetostriction Self-organized criticality and nonlinear stochastic flows Recent work includes: 2025: Numerical approximation of biharmonic wave maps and stochastic games 2024: Sharp interface limits for stochastic Cahn-Hilliard equations 2023: Singular-degenerate SPDEs and a posteriori estimates 2022: Stochastic total variation flow and Hamilton-Jacobi-Bellman equations 2021: Nematic electrolytes and homogenization of two-phase flows He serves on examination boards for Bachelor's and Master's programs in Mathematics and Mathematical Physics, and supervises graduate students within the Bielefeld Graduate School in Theoretical Sciences . His publications (over 30) address convergence analysis, error estimation, and computational modeling in applied mathematics.

Ryo Ikeshiroمشاهده پروفایل

استادیار

• Sound Art
• Sonification
• Computational Creativity
• +۳ مورد دیگر

Ryo Ikeshiro is an Assistant Professor at the School of Creative Media, City University of Hong Kong, and co-director of the spatial audio art/research unit SoundLab. His work bridges sound art, computational creativity, and cultural studies through immersive installations, algorithmic audio-visual systems, and sonification techniques. PhD in Creative Practice (Goldsmiths, University of London) MPhil in Music (University of Cambridge) BMus (King's College London) Ikeshiro's research interrogates the materiality of sound through: Multichannel Ambisonics and directional audio Neural network-driven temporal dislocation Sonification of climate data and historical soundscapes Machine learning for artistic interpretation Interplay of identity and technology East Asian ideophonic traditions His 2010-2024 publications and installations reveal cross-disciplinary engagement with: Fractal mathematics in audiovisual art Algorithmic composition systems Interactive installation technologies Sonic cartography Historical memory in sound Collaborative research frameworks SoundLab, which he co-directs, develops spatial audio research at the intersection of: Technical innovation Cultural representation Experimental pedagogy Public engagement International artistic exchange Practice-based research

• Cybersecurity
• Machine Learning
• Data Analytics
• +۵ مورد دیگر

Dr Zhiyuan (Thomas) Tan is an Associate Professor at Edinburgh Napier University’s School of Computing, Engineering and the Built Environment . He is internationally recognised for his cybersecurity research and has been listed among Stanford University’s Top 2% Scientists for 2021–2023. Education BEng (2005) with high distinction – North-eastern University, China MEng (2008) – Beijing University of Technology, China PhD in Computer Systems (2014) – University of Technology Sydney, Australia Research Interests Dr Tan’s research integrates cybersecurity with machine learning and data analytics. His core areas include: Intrusion detection and defence of critical service systems Adversarial machine learning for malware and anomaly detection Virtualisation security through non-parametric behaviour modelling IoT and vehicular network security—cloud/edge/cloudlet frameworks Privacy-preserving AI and federated machine unlearning Smart-city digital forensics and cyber-physical system resilience Research Output Trends His recent articles (2020–2025) reveal a strong focus on federated learning, edge & mobile computing, UAV coordination, and AI-driven security. Topics span advanced steganography, metamorphic malware, graph injection attacks, and trustworthiness in vehicular platoons, all anchored in real-world IoT and transportation applications. Awards & Distinctions Stanford University Top 2% Scientists List (2021, 2022, 2023) National Research Award 2017 – Research Council of the Sultanate of Oman Best Paper Awards (three instances) Kaspersky Lab Student Cyber Security Conference – Finalist Award SICSA Supervisor of the Year 2019 – Honourable Mention Grants & Leadership Dr Tan has attracted over £200k in external funding including: Carnegie Trust (£73,564) – Federated Machine Unlearning ENU Development Trust (£29,998) – Machine Unlearning Royal Society (£12,000) – VANET Security & Privacy SICSA & other awards for MemoryCrypt, AI Secrets, behaviour biometrics, and visiting-fellow schemes. Supervision & Mentoring Since 2013 he has supervised or co-supervised 16 doctoral candidates and several master’s students; six PhDs have successfully graduated. Roles range from Director of Studies to additional supervisor across diverse topics from malware evolution to VR olfactory interfaces. Research Groups & Collaboration He is affiliated with the Centre for Artificial Intelligence and Robotics , the Centre for Distributed Computing, Networking and Security , and the Centre for Cybersecurity, IoT and Cyber-physical Systems at ENU, fostering interdisciplinary collaboration with national and international partners.

Sojung Bahngمشاهده پروفایل

استادیار

• Digital Storytelling
• Cinematic Virtual Reality
• New Media Narrative & Aesthetics
• +۳ مورد دیگر

Sojung Bahng is an Assistant Professor in the Department of Film and Media at Queen’s University, with a cross-appointment to the DAN School of Drama and Music. Her work bridges multidisciplinary art, practice-based research, and digital media innovation. She holds a PhD from Monash University’s SensiLab (Australia), recognized with the 2020 Mollie Holman Medal for her thesis on cinematic VR. Her research focuses on digital storytelling, VR aesthetics, and the intersection of technology with cultural narratives. Education: PhD in Information Technology (SensiLab, Monash University) Masters in Culture Technology (KAIST, South Korea) BFA in TV/Film Production & Art Theory (Korea National University of Arts) Research explores VR’s potential for reflexive storytelling beyond immersion, emphasizing ethical engagement and cross-cultural narratives. Notable projects include Sleeping Eyes (narcolepsy simulation), Anonymous (VR identity exploration), and Floating Walk (autobiographical documentary). She curates Somplexity , a posthumanist art project funded by Seoul Foundation for Arts and Culture. Awards include the Mollie Holman Medal (2020) and Excellence in Experience Design (Sleeping Eyes). Current SSHRC-funded project Meta-Metaverse investigates digital art approaches to the metaverse. Her work is exhibited globally at venues like Heide Museum (Melbourne), ISEA (Dubai/Montreal), and festivals such as BIAF and TSFM. Grants and collaborations include SSHRC funding and leadership in Research-Practice , a framework exploring research/practice intersections. Her academic contributions span peer-reviewed journals (SIGCHI, ACM Interactions) and conferences (ISEA, ICIDS).

• Architecture
• Urban and regional planning
• Design
• +۵ مورد دیگر

Professor Alan Penn is a leading academic at University College London's The Bartlett School of Architecture , where he holds the title of Professor in Architectural and Urban Computing. He previously served as Dean of the Bartlett Faculty of the Built Environment from 2009 to 2019 and has been instrumental in establishing Space Syntax Ltd , a UCL knowledge transfer spin-out company. His affiliations include membership in the Space Syntax Laboratory, board membership of UCL Consultants Ltd, and trustee status at Shakespeare North Trust. Education: BSc (1978), Dip Arch (1980), MSc (1983) - all from University College London Alan Penn’s research investigates how spatial design influences social and economic behaviors through innovative space syntax methodologies . Key areas include: Agent-based simulations of human behavior Spatio-temporal representations of built environments Urban spatial network analysis Urban sustainability across multiple dimensions Cognitive markers in architectural design Historical urban growth modeling His recent publications demonstrate a strong focus on computational urbanism, evolutionary city patterns, and behavioral architecture. Research trends show interdisciplinary approaches combining architectural theory with: Machine learning applications Network science analysis Behavioral psychology insights Historical GIS techniques Complex systems modeling Public health considerations Scientific recognition includes: HEFCE Business Fellowship (2001-2005) KTP SE Region Award (2010) Multiple UCL Enterprise awards ‘Spirit of Enterprise’ Award (2008) As Principal Investigator he leads the £5m EPSRC-funded Urban Dynamics Lab , demonstrating sustained research excellence. His work extends to public engagement through: Shakespeare North Trust educational theatre development Media appearances (New Scientist, Slashdot) Public policy contributions

Niels Otaniمشاهده پروفایل

دانشیار

• Cardiac Electrophysiology
• Computational Biology
• Biomechanical Imaging
• +۹ مورد دیگر

Niels Otani is an Associate Professor in the School of Mathematics and Statistics at the College of Science, Rochester Institute of Technology (RIT). He holds a BA from the University of Chicago and a Ph.D. from the University of California, Berkeley. His research focuses on cardiac electrophysiology, computational biology, and biomechanical imaging, with a particular emphasis on understanding and controlling cardiac arrhythmias such as ventricular fibrillation. Dr. Otani has pioneered methods for visualizing action potential propagation using ultrasound and developed novel defibrillation strategies that reduce energy requirements. He also investigates the role of ephaptic coupling in cardiac dynamics and the mechanisms underlying spiral wave formation and termination. His work bridges mathematics, physics, and cardiology, with applications in clinical therapies and biomedical engineering. Dr. Otani's research has been supported by grants such as an NSF award for developing diagnostic tools for cardiac disease. He teaches advanced courses in multivariable calculus, linear algebra, and research thesis supervision. Collaborations span interdisciplinary teams, including veterinary cardiology and biomedical imaging groups. His contributions include over 50 publications on topics ranging from action potential dynamics to computational modeling of cardiac tissue, with a focus on translating theoretical findings into clinical solutions.

• Numerical Analysis
• Numerical Methods for Partial Differential Equations
• Virtual Element Methods
• +۱۴ مورد دیگر

Stefano Scialo' is an Associate Professor in the Department of Mathematical Sciences "G.L. Lagrange" (DISMA) at the Polytechnic University of Turin. He is also a member of the Interdepartmental Center Ec-L - Energy Center Lab and serves as the contact person for the Bachelor's Degree Program in Mathematics for Engineering (L3). His academic journey began with a Master’s in Aerospace Engineering (2007), followed by a PhD in Mathematics for Engineering (2014), both from the same institution. After his PhD, he held postdoctoral and Assistant Professor positions at DISMA before being promoted to Associate Professor. Education: PhD in Mathematics for Engineering, Politecnico di Torino, 2014 Master in Aerospace Engineering, Politecnico di Torino, 2007 His research focuses on advanced numerical methods for partial differential equations, particularly in the context of complex multiscale and multiphysics systems. Key areas include the Virtual Element Method (VEM), domain decomposition techniques based on PDE-constrained optimization, and the simulation of flows in fractured porous media. He has made significant contributions to 3D-1D coupled problems, with applications in geosciences and biomedical modeling such as tumor-induced angiogenesis. His methodological work emphasizes robustness, scalability, and applicability to non-conforming and polygonal meshes, enabling high-performance computing solutions. The trend in his recent publications reveals a strong emphasis on developing and analyzing mixed virtual element methods, optimization-based coupling strategies, and their applications to engineering and biological systems. His work bridges theoretical numerical analysis with practical implementations in fluid dynamics and subsurface flow. Scientific Contributions: Principal Investigator of the FREYA project (2023–2026) on hybrid numerical approaches for fault reactivation. Coordinator of the INdAM-GNCS research project (2018–2019). Member of the research group "Numerical Analysis and Scientific Computing" at DISMA. Stefano Scialo' actively supervises doctoral students, including Matteo Trombini in the PhD program in Mathematical Sciences. He teaches a range of courses such as Advanced Scientific Programming in MATLAB, Numerical Methods and Scientific Computing, and specialized topics on Virtual Element Methods. He also contributes to curriculum development and academic governance through roles in doctoral colleges and degree program committees, including those for Mathematical, Mechanical, Aerospace, and Automotive Engineering. Laboratories and Research Groups: Member, Interdepartmental Center Ec-L - Energy Center Lab Research Group: Numerical Analysis and Scientific Computing (DISMA)

Thilini Jayasingheمشاهده پروفایل

استادیار

• Statistics
• Regression Analysis
• Data Analysis
• +۵ مورد دیگر

Thilini Jayasinghe is an Assistant Professor in the Department of Mathematics at the University of Dayton, part of the College of Arts and Sciences. She joined the faculty in Fall 2023 as a full-time academic member. Her research focuses on statistical modeling, data analysis, and machine learning applications. Research Interests: Regression Analysis Data Analysis Shape Analysis Statistical Machine Learning Her recent publications show a strong trend in applying statistical and machine learning techniques to real-world problems, including cost forecasting in the newspaper industry and fraudulent online review detection using deep neural networks. This reflects a growing interdisciplinary focus combining traditional statistics with modern AI methods. Scientific Awards: No awards listed in the provided text. Dr. Jayasinghe advises students and is involved in research and teaching activities. She previously served as an adjunct instructor at Wittenberg University before joining the University of Dayton. Her work contributes to both theoretical and applied statistics, with a practical orientation toward industrial and technological applications. Labs and Research Teams: No specific labs or research teams are mentioned in the provided information.