جست‌وجوی استاد و پژوهشگر

Natasha Anne Rappaمشاهده پروفایل

دانشیار

• Educational Technology
• Teacher Education
• Higher Education
• +۹ مورد دیگر

Natasha Anne Rappa is an Associate Professor in the School of Education at Murdoch University, within the College of Health and Education. Her research focuses on educational technology, generative AI, virtual/mixed reality learning, and 21st-century skills. She holds a PhD from the University of Sheffield and an MA from the University of Michigan. Education: PhD in Education, University of Sheffield (2011–2015) MA in Educational Studies, University of Michigan–Ann Arbor (2010–2011) Postgraduate Diploma in Education, Nanyang Technological University (1996–1997) Bachelor of Arts with Honours, National University of Singapore (1992–1996) Awards: 2024 Vice Chancellor's Award for Excellence in Postgraduate Supervision 2021 Vice Chancellor’s Award for Excellence in Research and Innovation 2008 Lenovo Innovation Merit Award 2003 Service Excellence Award (Ministry of Education, Singapore) Her work explores AI-driven pedagogy, simulation-based learning, and MOOCs. Recent projects include dialogic approaches to AI integration in secondary education and the validation of work readiness scales. She actively contributes to journals like British Journal of Educational Technology and Asia-Pacific Education Researcher .

Kevin Schneiderمشاهده پروفایل

استاد

• Software Architecture and Design
• Software Evolution and Maintenance
• Software Analysis and Navigation
• +۶ مورد دیگر

Dr. Kevin Schneider is a Professor in the Department of Computer Science at the University of Saskatchewan. His research focuses on software architecture, evolution, analysis, and visualization, with notable work in quantum computing applications and machine learning. He also explores collaborative software teams and domain-specific languages to enhance development processes. Education: Ph.D., Computing and Information Science, Queen’s University (2000) Research Associate, Computing and Information Science, Queen’s University (1991–94) M.Sc., Computing and Information Science, Queen’s University (1990) B.Sc.(Hon), Computational Science, University of Saskatchewan (1980) Research interests include software design principles, maintenance strategies, and the integration of AI/quantum computing into software engineering. He emphasizes reproducibility in scientific workflows and tools like VizSciFlow. His work often bridges theory and practice, addressing challenges in code clone stability, user feedback management, and healthcare-related machine learning frameworks. Scientific Awards: Most Influential Paper at SCAM 2001 for his work on software engineering via source transformation. Advising and grants: While no specific advisees are listed, his research involves large-scale projects such as the Nutrient App and automated polyp segmentation tools. He collaborates on grants related to quantum computing applications and cloud-based software systems. Labs and teams: His work centers on collaborative scientific data analysis groups and developing tools for real-time groupware systems in complex workflows. He contributes to projects like CloneCognition and FSECAM, aiming to improve software design and maintenance through advanced analytics.

Michael P. Barryمشاهده پروفایل

پژوهشگر ارشد

• Neuroprosthetics
• Artificial Vision
• Low-Vision Rehabilitation
• +۳ مورد دیگر

Dr. Michael P. Barry is the Associate Director for Translational Research and a Senior Research Fellow at the Pritzker Institute of Biomedical Science and Engineering, Illinois Institute of Technology. His work focuses on neuroprosthetic design, artificial vision systems, and low-vision rehabilitation. He earned a PhD in Biomedical Engineering from Johns Hopkins University (2018) and a B.A./M.S. in Neuroscience from the same institution (2010). His research includes pioneering contributions to the Argus II retinal prosthesis and the Intracortical Visual Prosthesis (ICVP), emphasizing psychophysical evaluations and device optimization. Dr. Barry has published over 40 peer-reviewed articles and holds a patent for spatial fitting by percept location tracking (2018). He received the Envision-Atwell Award for Low Vision Research in 2017. Key projects include managing the RES-MATCH program for IIT undergraduates and advancing thermal imaging and distance-filtering systems to enhance prosthetic vision. His work integrates neurophysiological studies, clinical trials, and software development to improve visual perception for blind individuals. Collaborations span academic institutions and industry partners like Second Sight Medical Products. Professional memberships include the Association for Research in Vision and Ophthalmology (2010–2020, 2023–2024) and the Society for Neuroscience (2019, 2023). Current research emphasizes optimizing ICVP performance through EEG recordings and electrode stability analysis, while exploring applications in mobility assistance and environmental interaction.

Jeffrey Zabelمشاهده پروفایل

استاد

• Urban Economics
• Housing Economics
• Education Economics
• +۳ مورد دیگر

Jeffrey Zabel is a Professor of Economics and Director of the MS Program in Data Analytics at Tufts University's School of Arts and Sciences. He holds a PhD in Economics from UC San Diego (1987) and a BA in Mathematics from Swarthmore College (1979). His research focuses on applied micro-economics, particularly urban, housing, education, environmental, and labor economics, leveraging econometric methodologies. He has served as co-editor of the Journal of Housing Economics , associate editor at Regional Science and Urban Economics , and editorial board member at Real Estate Economics . His professional roles include Fellow at the Weimer School of Advanced Studies in Real Estate, Research Affiliate at NYU’s Institute for Education and Social Policy, and Board Member of the Boston Research Data Center (BRDC). Education: PhD in Economics, University of California, San Diego (1987) BA in Mathematics, Swarthmore College (1979) Research Interests: Urban and housing economics emphasize spatial market dynamics and policy impacts. His work on education economics explores school choice mechanisms and equity, while environmental studies assess natural resource valuation. Labor economics research examines job displacement and mobility. He also develops econometric tools for hedonic pricing and spatial analysis. Key Research Trends: Recent articles address property value analysis (e.g., ZTRAX applications), national park environmental impacts, and labor-market-housing interdependencies. His work bridges econometric innovation with policy-relevant insights in urban and environmental domains. Grants & Awards: Recent funding includes the Smith Richardson Foundation and Russell Sage Foundation grants for studies on worker adaptation and geographic mobility. While no explicit awards are listed, his editorial roles and fellowships reflect peer recognition in real estate and urban economics. Teaching & Advising: Teaches graduate/undergraduate courses in econometrics and data analytics. Advises students through independent studies and research assistantships, though specific advisee names are not documented here. Labs/Teams: Engaged in interdisciplinary collaborations through Tufts’ Data Analytics program and external partnerships like NYU’s Institute for Education and Social Policy, focusing on data-driven policy analysis.

Tommaso Schettiniمشاهده پروفایل

استادیار

• Electric Vehicle Charger Location
• Public Transit
• Metro Timetabling
• +۴ مورد دیگر

Dr. Tommaso Schettini is an Assistant Professor in the Department of Mechanical, Industrial and Aerospace Engineering at Concordia University. His research focuses on transportation systems optimization, including electric vehicle charger location, metro timetabling, and demand-driven scheduling strategies. He holds an ORCID identifier (0000-0003-2578-1539) and supervises Master's and PhD students in Industrial Engineering. His work integrates operations research techniques like Benders decomposition and metaheuristics to solve real-world transportation and manufacturing challenges. Research Areas: Electric Vehicle Infrastructure Planning, Metro Timetabling Strategies, Integer Programming, Discrete Simulation-based Optimization, and Combinatorial Optimization. Notable contributions include developing pattern-based algorithms for short-turning metro lines and optimizing micro-mobility integration with public transit. His articles span 2016–2024, emphasizing demand-driven approaches in transportation and manufacturing systems.

Eren Erman Ozguvenمشاهده پروفایل

دانشیار

• Emergency Evacuation Operations
• Traffic Safety
• Intelligent Transportation Systems
• +۶ مورد دیگر

Eren Erman Ozguven is an Associate Professor and Director of the Resilient Infrastructure and Disaster Response (RIDER) Center at the FAMU-FSU College of Engineering's Department of Civil and Environmental Engineering. His research focuses on emergency evacuation modeling, traffic safety, and disaster resilience. He holds a Ph.D. from Rutgers University (2012) and M.S./B.S. degrees from Bogazici University (2006/2002). University: Florida A&M University-Florida State University School: FAMU-FSU College of Engineering Department: Civil and Environmental Engineering Research interests include GIS-based analysis of transportation networks, hurricane evacuation planning, and smart city infrastructure. Ozguven leads projects funded by NSF and FDOT, addressing vulnerable populations' needs during disasters. His work integrates AI, remote sensing, and simulation tools for resilience. Key articles focus on disaster risk reduction, evacuation modeling, and roadway safety using advanced data analytics. Notable grants include NSF projects on rural resiliency hubs and hurricane-pandemic shelter planning. Ozguven advises 10+ students and collaborates with RIDER Center to develop tech-driven solutions for community resilience. Labs/Teams: RIDER Center, ASAP Center (Aging Population Safety).

Kevin A. Haasمشاهده پروفایل

استاد

• Coastal Engineering
• Numerical Modeling
• Sediment Transport
• +۵ مورد دیگر

Kevin A. Haas is a Professor of Civil Engineering and Associate Chair for Undergraduate Programs at the Georgia Institute of Technology's School of Civil and Environmental Engineering, part of the team developing Coastal Engineering programs in Savannah. He holds a B.S. (Ohio State University, 1994), M.S. (Ohio State University), and Ph.D. (University of Delaware, 2001) in Civil/Coastal Engineering, followed by a postdoctoral fellowship at the University of Delaware. Education: B.S. in Civil Engineering (Distinction), The Ohio State University, 1994 M.S. in Civil Engineering, The Ohio State University, 1997 Ph.D. in Coastal Engineering, University of Delaware, 2001 Research Interests: Focuses on coastal dynamics, numerical modeling of nearshore circulation, sediment transport, and hydrodynamics of rip currents. Explores wave energy extraction, tidal marsh sediment transport, and applications of video-based field observations. His work bridges environmental engineering and renewable energy, emphasizing sustainable coastal systems. Key Achievements: Recipient of the Delaware Sea Grant Award for outstanding Ph.D. research on rip currents Lead in securing a $1M educational grant for undergraduate programs at Georgia Tech Active in developing tidal and wave energy assessment methodologies Grants & Labs: Principal investigator on projects funded by federal agencies and industry partnerships Conducts fieldwork and modeling at Georgia Tech's Savannah campus and coastal sites Collaborates with USGS, NOAA, and international teams on marine energy initiatives

Mikael Eklundمشاهده پروفایل

استاد

• Autonomous Systems
• Nonlinear System Identification and Control
• Health Informatics
• +۳ مورد دیگر

Dr. Mikael Eklund is a Professor in the Department of Electrical, Computer and Software Engineering at Ontario Tech University, within the Faculty of Engineering and Applied Science. He holds a PhD (2003), MSc (1996), and BSc (1989) in Electrical and Computer Engineering from Queen’s University. His research focuses on Autonomous Systems , Nonlinear System Identification and Control , Health Informatics , and Pervasive and Mobile Computing . He has expertise in medical image processing, robotic vehicles, and smart sensors for assisted living. Education and Work Experience : - PhD (Electrical and Computer Engineering), Queen’s University (2003) - MSc and BSc from Queen’s University (1996, 1989) - Visiting Postdoctoral Scholar at UC Berkeley (2003–2006) - Adjunct Assistant Professor at Queen’s University (2003) - Former Teaching Fellow at Queen’s University (1996–2001) - Industrial experience in flight control system engineering (CAE Inc., 1989–1996) Research Contributions : - Developed SensorNet, a wireless infrastructure for assisted living. - Advanced methods for nonlinear system identification in chemical processes and aerospace systems. - Pioneered real-time UAV safety protocols and model predictive control algorithms for aerial pursuit-evasion games. - Explored EMG signal processing for hand force estimation and MEG signal source localization in neuroscience. Teaching and Outreach : - Teaches courses like Medical Image Processing and Electric Circuits. - Active in interdisciplinary projects like the ITALH initiative for elder tech integration. - Presented at conferences such as IEEE EMBC, ACC, and CDC, emphasizing healthcare IT and autonomous systems.

• Coding and K-12 education
• Inclusive mathematics education
• Learning through technology
• +۳ مورد دیگر

Dr. Diane Tepylo is an Associate Teaching Professor at the Faculty of Education, Ontario Tech University. She is located at Charles Hall, Room 336 in the Downtown Oshawa campus. Her contact information includes the email diane.tepylo@ontariotechu.ca and phone number 905.721.8668 ext. 3768. Dr. Tepylo holds a PhD in Applied Psychology and Human Development from the Ontario Institute for Studies in Education (OISE), focusing on mathematics teaching and learning within STEM fields. Her research interests include Coding and K-12 education, Inclusive mathematics education (particularly for at-risk students, English language learners, and culturally responsive pedagogy), Learning through technology, Spatial reasoning in STEAM education, and STEAM teacher development for both pre-service and in-service educators. She emphasizes innovative pedagogical approaches, such as flipped classrooms and problem-solving challenges to enhance student engagement and learning outcomes. Dr. Tepylo teaches a diverse range of courses across multiple programs, including: Bachelor of Commerce: BUSI 1915U (Business Mathematics I) Bachelor of Education: EDUC 1311U and EDUC 2408U (Coding and Communication), CURS 4140U and CURS 4141U (Mathematics Curriculum Studies) Bachelor of Arts, Educational Studies: EDST 1000U (Foundations of Learning), EDST 1100U (Problem and Inquiry-Based Learning), EDST 3170U (Developing Numeracy), EDST 4000U (Inquiry and Professional Practice), EDST 4120U (Games and Simulations for Learning), EDST 4610U (Coding and Maker Pedagogies for Young Children) No scientific awards or grants are explicitly mentioned in the provided information. Her work focuses on bridging educational theory and practice, with a strong emphasis on student-centered learning and technology integration.

• 5G Networks
• Self-Organizing Networks (SON)
• Long Term Evolution (LTE)
• +۴ مورد دیگر

Prof. Dr.-Ing. Ingo Viering is an Honorary Professor at TU Munich's Chair of Communications Engineering and Co-Founder/CEO of Nomor Research GmbH. He also serves as a consultant at Nokia Bell Labs. His academic role focuses on system aspects in communications, particularly in 5G networks, self-organizing networks (SON), and LTE evolution. Viering holds a PhD from the University of Ulm (2003) and a Diploma in Electrical Engineering from TU Darmstadt (1999). His research spans 5G mobility, heterogeneous networks, antenna concepts (e.g., MIMO), and cognitive radio systems. Over 50+ publications highlight his contributions to radio resource management, network slicing, and SON algorithms. Notable work includes frameworks for slice-aware resource management using AI and beamforming optimizations in 5G. His academic leadership includes guiding diploma theses in MIMO systems and antenna array concepts. Current affiliations include active teaching and research at TU Munich.

• Lattice Dynamics
• Thermoelectrics
• Computational Chemistry
• +۶ مورد دیگر

Jonathan Skelton is a Senior Lecturer in Computational and Theoretical Chemistry at the University of Manchester's School of Chemistry. He holds a Ph.D. in Computational Chemistry from the University of Cambridge (2010–2013) and a B.A. and M.Sc. in Natural Sciences from Trinity College, Cambridge (2006–2010). His research focuses on lattice dynamics and computational modeling of materials, particularly thermoelectrics, to enhance energy efficiency and sustainability. Education Ph.D. in Computational Chemistry, University of Cambridge (2010–2013) M.Sc. and B.A. Natural Sciences, Trinity College, University of Cambridge (2006–2010) Research Interests : Lattice dynamics, density-functional theory (DFT), thermoelectric materials, thermal transport, and computational materials design. His work emphasizes structural dynamics' role in material properties and the development of open-source tools for broader accessibility. Recent Research Trends : Recent publications explore thermoelectric properties of oxides (e.g., LaCoO₃), lanthanide frameworks, and 2D materials. His studies highlight advances in thermal conductivity reduction and phonon engineering for energy applications. Awards & Memberships : Associate Fellow of the UK Higher Education Academy, Member of the Royal Society of Chemistry. Grants & Supervision : Advised multiple PhD theses on topics like actinide systems and functional perovskites. Active in reviewing and conference participation. Labs & Collaborations : Works on open-source software development and collaborates globally on energy materials research.

Daniel Harrisمشاهده پروفایل

مدرس ارشد

• Climate Change Impacts
• Coastal Morphodynamics
• Coral Reef Geomorphology
• +۳ مورد دیگر

Dr Daniel Harris is a Senior Lecturer in the Department of Geography at the School of the Environment, University of Queensland (UQ). His research focuses on coastal and coral reef morphodynamics, integrating physical processes like waves and tides with ecological and geological systems. Prior to UQ, he held positions at the University of Sydney and the Leibniz Center for Tropical Marine Ecology (ZMT). He leads The BeachLab, dedicated to developing tools for coastal resilience in a warming world. Research interests include coral reef structural complexity, coastal protection under climate change, and surf zone processes. His work combines field data, remote sensing (e.g., LiDAR, drones), and numerical modeling to address both fundamental and applied questions. Notable projects involve quantifying coral rubble mobility, analyzing Holocene reef evolution, and assessing shoreline change via satellite imagery. His expertise spans marine geoscience, physical oceanography, and environmental adaptation strategies. Publications emphasize coral reef dynamics, coastal geomorphology, and climate impacts. He collaborates with ecologists, geologists, and coastal engineers to advance interdisciplinary solutions. Teaching focuses on geography and marine science, reflecting his commitment to educating future researchers and practitioners. Key contributions include advancing methods for shoreline monitoring using Bayesian networks and Google Earth Engine. His research highlights the critical role of coral reefs in coastal protection, particularly under rising sea levels and extreme weather events. The BeachLab’s work bridges academic inquiry with practical management strategies for vulnerable coastal ecosystems.

• Optical Communications
• Quantum Computing
• Quantum Key Distribution
• +۳ مورد دیگر

Professor Dominic O'Brien is a Professor of Engineering Science at the University of Oxford and Senior Research Fellow at Balliol College. He serves as Director of the UK National Hub in Quantum Computing and Simulation. His research focuses on optoelectronics, optical wireless communications, and quantum key distribution. He leads the optical communications group and has authored over 200 publications in these areas. His work emphasizes high-speed free-space optical systems, UV-based secure communication, and beam-steering technologies. Education: MA and PhD from the University of Cambridge, followed by a DPhil from the University of Oxford. His research interests include quantum networks, photonics, and energy-efficient optical systems. Notable projects include handheld low-cost quantum key distribution systems and terabit-per-second fiber-wireless links. He collaborates on initiatives like the WORTECS project for virtual reality applications using optical wireless. Publications span topics from UV solar-blind OWC to liquid crystal beam steering. His work bridges academic and industrial applications, addressing challenges in both classical and quantum communication systems. He contributes to standards for visible light communications and next-generation wireless infrastructure.

Anu Lehtovuoriمشاهده پروفایل

مدرس

• Electronics Engineering
• Nanoengineering
• Antenna Design
• +۳ مورد دیگر

University Lecturer Anu Lehtovuori is affiliated with the Department of Electronics and Nanoengineering at Aalto University, where she actively bridges teaching and research. Her roles encompass academic teaching, project leadership, grant writing (e.g., Academy of Finland applications), and collaboration with doctoral students. She specializes in cutting-edge topics such as antenna design for 5G/6G systems, reconfigurable MIMO architectures, and RF technology for mobile devices. Her research focuses on optimizing antenna performance in compact environments, mitigating interference, and enhancing wireless communication efficiency. Notable areas include wideband antenna systems, decoupling techniques for multi-element arrays, and adaptive antenna-amplifier integration. Lehtovuori emphasizes practical applications, addressing challenges like user interaction effects on mobile antenna performance and minimizing electromagnetic emissions. Research Trends: Dominant themes include 6G IoT antenna solutions, mmWave component integration, and reconfigurable systems leveraging mutual coupling. Grants: Actively pursuing funding through initiatives like the Academy of Finland. Her contributions span both theoretical advancements (e.g., bandwidth optimization algorithms) and industrial applications (e.g., antenna cluster techniques for full-screen smartphones). While no specific awards are documented, her work reflects a strong focus on impactful, industry-relevant innovations.

Jill L McNitt-Grayمشاهده پروفایل

استاد

• Biomechanics
• Multijoint Movement
• Motor Control
• +۷ مورد دیگر

Dr. Jill L. McNitt-Gray is a Professor of Biological Sciences and Biomedical Engineering at the University of Southern California (USC), serving as Director of the USC Biomechanics Research Laboratory. She also leads the Integrative and Evolutionary Biology Graduate Program, focusing on interdisciplinary research at the intersection of genomics, evolution, and physiology. Her academic roles include joint appointments in Biomedical Engineering and affiliations with the Center for Robotics and Embedded Systems, Center for Excellence in Genomic Science, and the Department of Veterans Affairs. Education: PhD in Biomechanics (Pennsylvania State University, 1989), MA in Biomechanics (UNC Chapel Hill, 1985), and AB in Mathematics/Statistics (Miami University, 1980). Her research explores mechanisms of multijoint movement control, injury prevention, and human performance optimization across sports, music, and clinical populations. She pioneered biomechanical analysis of wheelchair propulsion mechanics and movement strategies in athletes and musicians. Research Interests: Biomechanics of physically-demanding movements, motor control dynamics, neuromuscular coordination, injury prevention in sports/dance/music, rehabilitation engineering, and comparative biomechanics in mammals. She integrates experimental techniques, computational modeling, and field studies to address these topics. Awards: Recognized as a Fellow of the National Academy of Kinesiology (2023), International Society of Biomechanics (2015), and American Society of Biomechanics (2013). Honored with the Hay Award (2016), Harmon Brown Award (2016), and USC Distinguished Professorship (2016–2019). Her mentorship was acknowledged via the Mellon Award (2010) and leadership of STEM outreach programs. Labs/Teams: Directs USC Biomechanics Research Lab and collaborates with the Sports Science, Engineering, and Technology Academy. Leads the GREU mentorship program and consults for USC Athletics, the Colburn School of Music, and Rancho Los Amigos Rehabilitation Center.