جست‌وجوی استاد و پژوهشگر

• Bio-inspired robotics
• Soft robotics
• Magnetic micro-robotics
• +۱ مورد دیگر

Hamidreza Marvi is an Associate Professor in the School for Engineering of Matter, Transport and Energy at Arizona State University , with additional affiliations as a Senior Global Futures Scientist . His work bridges bio-inspired robotics , soft robotics , and mechanics of animal locomotion . Education : Ph.D. in Mechanical Engineering (Georgia Tech, 2013), M.S. in Biomedical Engineering (Sharif University, 2007), M.S. in Mechanical Engineering (Clemson, 2009), B.S. in Mechanical Engineering (Iran University of Science and Technology, 2004). Marvi’s research focuses on biological systems interacting with solid, granular, and fluidic environments , translating these insights into bio-inspired robotic systems for search-and-rescue, medical, and planetary exploration. His work has been featured in Science , PNAS , and popular media like the New York Times and BBC . Recent publications highlight trends in magnetic microrobotics , soft robot control , and locomotion in granular media , with applications in medical devices, underwater inspection, and space exploration. His BIRTH Lab develops programmable interfacial structures and adaptive locomotion systems. Scientific Awards : KEEN Professorship (2017), Peebles Award (2015), Sigma Xi Best Ph.D. Thesis (2014), TechSTAR Award (2012), Emerald Publishing Literati Network Award (2011). Marvi has supervised teams for NASA competitions, co-organized robotics workshops, and served as a reviewer for journals like Nature-Scientific Reports and conferences including IEEE-IROS. His teaching portfolio includes courses in system dynamics, robotic control, and applied projects .

Pavel V. Tsvetkovمشاهده پروفایل

استاد

• Nuclear Engineering
• System Analysis & Optimization Methods
• Complex Engineered Systems
• +۶ مورد دیگر

Professor Pavel V. Tsvetkov is a faculty member at Texas A&M University , holding the rank of Professor of Nuclear Engineering and serving as the Director of the Graduate Program in Nuclear Engineering . He is also an Affiliated Faculty member of the Multidisciplinary Engineering program . His office is located in the AIEN M205B building, and he can be contacted at tsvetkov@tamu.edu . Educational Background: Ph.D. in Nuclear Engineering, Texas A&M University (2002) M.S. in Theoretical & Experimental Reactor Physics, Moscow State Engineering Physics Institute (1995) Research Interests: Professor Tsvetkov's research spans a wide range of advanced nuclear engineering topics. His primary focus includes system analysis and optimization methods , complex engineered systems , and symbiotic nuclear energy systems . He is deeply involved in waste minimization and sustainability , particularly through the development of high-temperature gas-cooled reactors (HTGRs) and molten salt reactors (MSRs) . His work also explores direct nuclear energy conversion systems and the integration of AI and deep learning into nuclear reactor control and monitoring systems. Research Trends in Publications: Over the past few years, Professor Tsvetkov has published extensively on the application of machine learning and deep learning in nuclear engineering. His recent works focus on autonomous reactor control , reactor dynamics simulation , and remote monitoring systems using satellite data and AI. He has also contributed to the design and analysis of microreactors for space applications and molten salt reactor dynamics . Scientific Awards: George Armistead, Jr ’23 Faculty Excellence Teaching Award Advising and Grants: As Director of the Graduate Program in Nuclear Engineering, Professor Tsvetkov plays a key role in mentoring and advising graduate students. While specific student names are not listed, his leadership in the program and extensive research output suggest active involvement in student research and training. Labs and Teams: Professor Tsvetkov is associated with the Nuclear Power Engineering group at Texas A&M University, contributing to both academic and applied research in nuclear systems design and safety.

• Modelling and Control of Electrical and Electromechanical Systems
• HVDC Systems and DC Grids
• High Power AC/DC and DC/DC Converters
• +۳ مورد دیگر

Dr. Aliakbar Jamshidi Far is a Lecturer at the School of Engineering, University of Aberdeen, since December 2017. Previously, he served as a Research Fellow at the Aberdeen HVDC Centre (2012-2017) and as an Assistant Professor at the Iranian Research Organization for Science and Technology (2008-2012). Dr. Jamshidi Far holds a PhD in Electrical Engineering from AmirKabir University (2008), an MSc from Iran University of Science and Technology (1996), and a BSc from Sharif University of Technology (1992). He is an IET Chartered Engineer, Senior Member of IEEE, and member of CIGRE Working Group B4.76. His research focuses on Modeling and control of HVDC systems and DC grids High-power AC/DC and DC/DC converters Hybrid DC circuit breakers Ultrasound applications in Oil & Gas Renewable energy integration Recent publications highlight trends in Modular Multilevel Converters (MMC) for DC grids Flux Switching Machine optimization Ultrasound-based scale removal technology Wave energy for remote islands Smart microgrids for Indonesia and Nigeria Advanced DC circuit breaker designs Dr. Jamshidi Far has secured significant funding including £204k from the Oil & Gas Technology Centre (2019-2021, Co-PI) £42k Consultancy from BP PLC (2019-2020, PI) EU Horizon 2020 PROMOTion Project (2016-2017, Research Fellow) SSE-funded DC converter research (2015-2016, Research Fellow) ERC-funded DC systems modeling (2012-2014, Research Fellow) Teaching responsibilities include Undergraduate: EE3579 - Electrical and Electronic Engineering Design Postgraduate: EG551K/55M5 - Renewable Energy Integration to Grid (Coordinator) EG503V/503W - Solar Energy (Coordinator) EG501H/504B - Electrical Systems for Renewable Energy (Coordinator) He supervises MEng/BEng and MSc students in Renewable Energy, Oil & Gas, and Subsea programs.

Soroosh Sorooshianمشاهده پروفایل

استاد

• Hydrometeorology
• Water Resources Systems
• Climate Studies
• +۳ مورد دیگر

Soroosh Sorooshian is a Professor at the Samueli School of Engineering , University of California, Irvine, with joint appointments in Civil and Environmental Engineering and Earth System Science . He serves as Founding Director of the Center for Hydrometeorology and Remote Sensing (CHRS) and holds the Samueli Endowed Chair in Engineering . His expertise spans hydrometeorology, climate-water interactions, remote sensing applications, and water resource management in arid regions. Education : Ph.D. in Engineering (1978), Engineer Degree in Systems Engineering (1977), M.S. in Operations Research (1973), B.S. in Mechanical Engineering (1971). Leadership & Affiliations : Member of US National Academy of Engineering , International Academy of Astronautics , and multiple scientific bodies (AAAS, AGU, AMS, IWRA). Former advisor to NASA, NOAA, and UNESCO initiatives. Recent research focuses on machine learning integration for hydrological modeling , satellite precipitation product development , and climate change impact assessments . Key trends include deep learning for bias correction , multi-sensor precipitation fusion , and atmospheric river hydrology in California. Awards include the AGU Horton Medal , NASA Distinguished Public Service Medal , and Prince Sultan Bin Abdulaziz International Water Prize . He consults on urban flooding and surface hydrology challenges. Scientific Honors : Chinese Academy of Sciences Einstein Professorship (2014) UNESCO Great Man-Made River Water Prize (2007) AMS Walter Orr Roberts Lecturer (2009) Multiple Distinguished Educator Awards Advisory Roles : Served on committees for NASA, DOE, and World Climate Research Programme's Hydrology Commission.

• Computer Supported Cooperative Work (CSCW)
• Human-Centered Computing
• Human-Computer Interaction
• +۷ مورد دیگر

Pernille Bjørn is a Professor in Computer Supported Cooperative Work (CSCW) at the Department of Computer Science , University of Copenhagen (DIKU), where she has been since May 2015. Her research investigates collaborative work practices to design cooperative technologies, focusing on domains like healthcare, global software development, startup companies, and digital fabrication. Faculty of Science, University of Copenhagen Human-Centred Computing Section Research Interests : Bjørn’s work spans CSCW , Human-Computer Interaction , and Digital Fabrication , with applications in healthcare systems, cross-cultural software development, and inclusive technology design. She explores collaborative virtual reality training, FemTech, and crisis computing. ACM Distinguished Member (2024) Publications : Published in top venues like ACM Transactions on Computer-Human Interaction , CSCW , and CHI , her recent work examines hybrid work asymmetry, neurodiverse accessibility, and art-driven collaborative research.

• Quantum Optics
• Quantum Metrology
• Gravitational Waves
• +۳ مورد دیگر

Daniel Braun is a Professor at the University of Tübingen, affiliated with the Faculty of Mathematics and Natural Sciences and the Department of Physics. He holds the Theoretical Physics (Braun Chair) and has been active in academia since October 1, 2013. Email: daniel.braun@uni-tuebingen.de Research Interests: His work bridges quantum optics, metrology, and gravitational physics. He explores quantum-enhanced measurement techniques, nonlinear optical phenomena in curved spacetime, and mechanical systems for fundamental tests of physics. Institutional Affiliation: Institute for Theoretical Physics (ITP) Recent Publications (2025-2024): Focus on quantum-limited interferometry, machine learning applications in quantum channels, gravitational effects in particle accelerators, and nonlinear soliton dynamics in relativistic settings. Scientific Awards: No specific awards mentioned in the provided data.

Naren Ramakrishnanمشاهده پروفایل

استاد

• Data Science
• Machine Learning
• Urban Analytics
• +۲ مورد دیگر

Naren Ramakrishnan is the Thomas L. Phillips Professor of Engineering in the Department of Computer Science at Virginia Tech, where he directs the Sanghani Center for AI and Data Analytics. He also serves as AI and Machine Learning Lead for the Virginia Tech Innovation Campus. His research spans data science, machine learning, urban analytics, forecasting, and computational epidemiology. Recent publications (2024-2025) focus on language model optimization, AI applications in government and environmental conservation, and spatiotemporal data analysis. Work demonstrates strong emphasis on real-world AI deployments in regulatory compliance, supply chain verification, and network optimization. Methodological innovations include prompt engineering techniques, world models for reinforcement learning, and specialized embedding methods. Dr. Ramakrishnan has received prestigious fellowships from ACM, AAAS, and IEEE. His research has been supported by numerous agencies including DARPA, NSF, NIH, and industry partners like Amazon and Boeing, with 36 PhD students mentored to completion.

• Intellectual Property Law
• Copyright and Artificial Intelligence
• IP and Right to Repair
• +۵ مورد دیگر

Kanchana Kariyawasam serves as Associate Professor in the Department of Accounting, Finance and Economics within Griffith University's Business School. Holding a PhD in IP Law from Griffith University, an LL.M (Advanced) in IP Law from The University of Queensland, and an LL.B (Hons) from the University of Colombo, she maintains active research affiliations with the Law Futures Centre (2009-2024) and Griffith Asia Institute (2019-present). Her research spans Intellectual Property Law with specialized focus on Copyright and Artificial Intelligence, IP and Right to Repair, Patent Law in Biotechnology, and Gender Equality in IP systems. Current projects examine AI-generated works, digital exhaustion doctrine, and NFT legality under Australian copyright frameworks, reflecting strong alignment with Sustainable Development Goals 4 (Quality Education) and 9 (Industry Innovation). Professor Kariyawasam's funded research portfolio includes significant projects such as the WIPO Study on Illegal Retransmission of Live Broadcasts (2023), Queensland Government Ewaste initiatives (2022), and Griffith University's Right to Repair Workshop (2020). Her publications demonstrate consistent output in high-impact journals including European Intellectual Property Review and International Journal of Law and Information Technology , with recent works analyzing AI copyright challenges, spatial data protection, and medical device repair rights. Deputy Vice-Chancellor's 2024 Student Experience of Teaching Survey Commendation Green Impact Gold Award Recipient (2023, Griffith Repair Cafe) Highly Commended Griffith Award for Excellence in Teaching (Large Classes) Two GBS teaching citations She currently supervises five doctoral candidates researching AI data privacy, patent law intersections, and agricultural IP issues, while having successfully completed supervision of four doctoral theses including works on female entrepreneurship and agribusiness marketing. As Coordinator of Griffith Repair Cafe and Steering Committee Member of Australian Repair Network, she bridges academic research with community engagement on repair rights and e-waste reduction.

Florian Börgelمشاهده پروفایل

پژوهشگر

• Climate Science
• Oceanography
• Computational Modeling
• +۳ مورد دیگر

Dr. Florian Börgel is a Senior Research Scientist and leader of the Junior Research Group Large-Scale Circulation and North European Climate Variability at the Leibniz Institute for Baltic Sea Research (IOW) in Warnemünde. He holds a Dr. rer. nat. in Physical Oceanography (2020) from IOW, an M.Sc. in Engineering Physics from the University of Oldenburg (2017), and a B.Eng. from the University of Applied Sciences Münster (2014). His research focuses on large-scale ocean-atmosphere interactions, regional climate dynamics in Northern Europe and the Baltic Sea, and the application of machine learning to improve climate models and river runoff forecasting. Key areas include Atlantic Multidecadal Variability (AMV), teleconnections between the North Atlantic and regional climates, and the impacts of climate drivers on marine environments. Notable achievements include the Outstanding Early Career Scientist Award (EGU 2023) and membership in expert groups such as the UN’s World Ocean Assessment III and the CMIP7 Data Analysis Working Group. He co-leads the Baltic Earth Teleconnections Working Group, focusing on North Atlantic-Baltic Sea linkages. Awards: EGU Early Career Award (2023), Fulbright Scholarship (2015-16) Grants/Positions: IOW appointee to Deutsches Klima-Konsortium (DKK), Parental Leave (2019-2020) Labs/Teams: Leads the Large-Scale Circulation group; contributes to the Baltic Sea Model Intercomparison Project (BMIP) and Validator tool development

Kevin Pontoمشاهده پروفایل

استادیار

• Virtual Reality (VR)
• Augmented Reality (AR)
• Human Factors Engineering
• +۴ مورد دیگر

Kevin Ponto is an Assistant Professor at the University of Wisconsin, Madison, holding dual affiliations with the Department of Industrial and Systems Engineering and the Living Environments Lab. His work bridges engineering, design, and digital humanities, focusing on virtual and augmented reality technologies for education, healthcare, and cultural heritage preservation. Ponto earned his B.S. in Computer Engineering from UW-Madison, followed by an M.S. and Ph.D. in interdisciplinary fields from UC Irvine and UC San Diego, respectively. His research interests include immersive visualization systems, AR/VR interfaces for accessibility, and embodied learning experiences. Notable projects include the Augmented Reality Home Assessment Tool (ARHAT) for home safety evaluations and Waddle , a VR empathy project simulating the life of an Adélie penguin. Ponto has collaborated on interdisciplinary initiatives such as the Center of Interdisciplinary Science for Art, Architecture and Archaeology (UCSD) and the Computation and Informatics in Biology and Medicine program. He explores spatiotemporal gait analysis in virtual environments, low-cost immersive display systems, and the usability of AR tools in healthcare and emergency response. His work emphasizes translating cutting-edge VR/AR technologies into practical applications for education, rehabilitation, and cultural preservation. Ponto actively publishes in journals and conferences covering human factors, computer graphics, and digital humanities, contributing to both theoretical and applied research in immersive technologies.

• Neural control of movement
• Infant development
• Motor control
• +۵ مورد دیگر

Beth Smith, PT, DPT, PhD is an Associate Professor of Pediatrics and Biokinesiology & Physical Therapy at the University of Southern California. She directs the Infant Neuromotor Control Laboratory, where she leads research on neural control of movement during infancy and develops interventions for infants with or at risk for developmental delay. Dr. Smith's research focuses on several critical areas in pediatric development: Neural mechanisms underlying infant motor development Application of wearable sensor technology for objective movement measurement Early identification of developmental delays through quantitative analysis Evaluation of intervention effectiveness for at-risk infants Cross-cultural studies of infant development in diverse settings including rural Guatemala Her work demonstrates a strong integration of technology and clinical practice, with recent publications highlighting innovative approaches to measuring infant movement in natural environments. Dr. Smith's research on algorithmic detection of developmental disabilities using wearable sensors represents a significant advancement in early identification methods. Her studies on telehealth administration of developmental assessments have gained particular relevance following the COVID-19 pandemic, potentially expanding access to early intervention services globally. As director of the Infant Neuromotor Control Laboratory, Dr. Smith oversees a research program that bridges neuroscience, engineering, and clinical practice to improve outcomes for infants with developmental challenges. Her work has important implications for developing evidence-based interventions that can be implemented across diverse healthcare settings.

• Machine Learning
• Biomedical Image Analysis
• Medical Imaging
• +۳ مورد دیگر

Professor Jinman Kim is a Professor in the School of Computer Science at the University of Sydney and Director of the Biomedical Data Analysis and Visualisation (BDAV) Lab. He also serves as Research Director of the Telehealth and Technology Centre at Nepean Hospital. His research focuses on machine learning applications in biomedical image analysis, visualization, and multi-modal data processing. Kim holds a PhD in Computer Science from the University of Sydney (2006) and has held roles including Senior Lecturer (2013), Associate Professor (2016), and Professor (2022). He is an Area Editor for Computer Methods and Programs in Biomedicine and actively contributes to AI-driven healthcare initiatives. His academic journey includes a Marie Curie Fellowship at the University of Geneva (2010) and leadership roles in projects like the ARC Training Centre in Innovative Biomedical Engineering. He co-leads the Digital Health Imaging initiative under the Faculty of Engineering’s Digital Science Initiative. Kim has developed teaching programs such as the Master of Digital Health and Data Science, co-taught with the Faculty of Medicine and Health. Research interests span AI in medical imaging, telehealth systems, and interdisciplinary biomedical engineering. His work includes advancements in PET/CT fusion, tumor segmentation, and medical visual analytics. Kim’s lab explores applications like AI in dental education, cutaneous lymphoma detection, and fair AI models for healthcare. Notable collaborations include the Telehealth Remote Monitoring System for chronic patients and contributions to datasets like the HRDC Challenge for hypertension classification. His labs prioritize translating AI innovations into clinical tools for improved healthcare accessibility and precision.

Jennifer Whyteمشاهده پروفایل

استاد

• Infrastructure Projects
• Project Leadership
• Systems Integration
• +۵ مورد دیگر

Professor Jennifer Whyte is a Professor and Director of the John Grill Institute for Project Leadership at the University of Sydney's School of Project Management (Faculty of Engineering). Her research focuses on project leadership, systems integration, digital transformation in construction, and future-making practices. She previously led the School of Project Management (2021-23) and holds a retained Professorship at Imperial College London's Department of Civil and Environmental Engineering. She is a Policy Fellow of the Institution of Civil Engineers, contributing to industry policy and advisory boards such as the UK Construction Leadership Council. Education: Holds a PhD and is a Fellow (FICE) of the Institution of Civil Engineers. Her work bridges academia and industry, emphasizing practical impact through tools like digital twins and visualization technologies. Current projects include the Alan Turing Institute's Data-Centric Engineering Programme (Grand Challenge III) and the EPSRC-funded VENTURA Project's Virtual Decision Room initiative. Research interests span infrastructure projects, innovation ecosystems, and leadership in complex environments. She actively supervises doctoral students exploring areas like risk management in construction and digital transformation in public institutions. Awards include recognition for policy contributions and leadership in project-based organizations. Grants include funding for Big Data-driven stakeholder engagement in mega-projects and collaborations on new energy technologies. Her global links include Imperial College London and ongoing partnerships with institutions in the UK and Australia.

William F. Speierمشاهده پروفایل

دانشیار

• Medical Informatics
• Biomedical Engineering
• Neurology
• +۳ مورد دیگر

William F. Speier is an Associate Professor in the Department of Radiological Sciences at the University of California, Los Angeles (UCLA) School of Medicine . His work spans Medical Informatics , Biomedical Engineering , and Neurology , focusing on applying Artificial Intelligence and Deep Learning to medical imaging and patient monitoring systems. Speier's research emphasizes improving diagnostics for Thyroid Cancer via multimodal ultrasound and molecular testing, advancing Brain-Computer Interfaces (BCIs) for ALS patients, and optimizing Heart Failure remote monitoring through biometric data analysis. He leads the NIH-funded project Predicting Clinically Significant Thyroid Cancer using Ultrasound (R21EB030691), integrating AI into clinical workflows. His recent publications highlight trends in High-Frequency Oscillations for epilepsy, Gleason Grading in prostate cancer, and Language Models for BCI communication. Collaborations with co-authors like Corey Arnold and Hiroki Nariai underscore his interdisciplinary approach. Speier's work also addresses Diagnostic Imaging , Neural Signal Processing , and Health Technology accessibility. Grants and clinical trial integrations further demonstrate his commitment to translating AI into practical healthcare solutions. His methodologies include 3D ConvNets , Federated Learning , and Active Learning frameworks for histopathology and radiology.

• Primary Science Education
• Early Years Science
• Teacher Professional Learning
• +۲ مورد دیگر

Associate Professor Christine Preston at the University of Sydney's Faculty of Education and Social Work specializes in primary science education with a focus on early childhood development. She maintains active classroom experience through her kindergarten science teaching and leads research on science diagrams, toy-based learning, and teacher professional development. Her work integrates embodied learning and representational pedagogies to enhance conceptual understanding in STEM subjects. Dr. Preston's research examines innovative approaches including citizen science integration, digital technologies, and adaptive curriculum design. She currently lectures in primary science and technology education, while supervising doctoral candidates exploring computational thinking and marine biology education. Her scholarly contributions emphasize practical classroom applications and teacher support resources. Award recognition includes multiple Excellence in Teaching awards (2007, 2016) and the 2001 NSW Quality Teaching Award. She maintains active membership in international science education associations including ASTA, ESERA, and NSTA, serving on editorial boards for science education journals.