جست‌وجوی استاد و پژوهشگر

Marcelo Santosمشاهده پروفایل

استاد

• Geodesy
• GNSS and Navigation
• Space Geodesy
• +۳ مورد دیگر

Marcelo Santos is a Professor in the Department of Geodesy and Geomatics Engineering at the University of New Brunswick (UNB), where he has been a faculty member since 2000. He holds a PhD in Geodesy (1995, UNB), M.Sc. in Geophysics (1990, Rio de Janeiro National Observatory), and B.Sc.E. in Cartographic Engineering (1982, Rio de Janeiro State University). His academic career includes roles such as Head of the Department (2012–2017) and international leadership in organizations like the International Association of Geodesy (IAG), where he served as President of Commission 4 (2015–2019) and Senior National Delegate of Canada (2007–2011). Research interests focus on Space and Physical Geodesy, GNSS navigation, and atmospheric delay modeling. His work emphasizes rigorous height systems, geoid determination, and integration of geodetic techniques with numerical weather models. Key contributions include the development of UNB’s atmospheric delay models and the Stokes-Helmert geoid computation methodology. Professional activities include chairing IAG commissions, directing UNB’s Space Geodesy Laboratory (1996–1999), and advising on geodetic infrastructure projects in Brazil and Canada. His publications span over 150 peer-reviewed articles, covering topics like tropospheric modeling, geoid determination, and GNSS applications in environmental monitoring. Led research grants include projects on global topographical density models and climate applications of GNSS-derived tropospheric parameters. Collaborations involve institutions like NASA, ESA, and Brazil’s IBGE. Current projects focus on enhancing geoid models and improving vertical datum systems for precision geomatics applications.

Chao Fanمشاهده پروفایل

استادیار

• Climate Change Adaptation and AI
• Dynamics of Integrated Socio-Environmental Systems
• Human Networks and Data Science
• +۴ مورد دیگر

Dr. Chao Fan is an Assistant Professor in Civil Engineering and Environmental Engineering and Earth Sciences at Clemson University, affiliated with the Glenn Department of Civil Engineering. His research focuses on climate change adaptation, socio-environmental systems dynamics, and urban resilience, leveraging AI and data science. He holds a Ph.D. from Texas A&M University (2020), an M.S. from UC Davis (2017), and a B.S. from China University of Mining and Technology (2016). Dr. Fan's work integrates interdisciplinary approaches to address challenges in disaster management, smart cities, and environmental justice. Key interests include social sensing for infrastructure disruptions, equity in urban mobility networks, and leveraging digital twins for resilience planning. His recent publications explore topics like wildfire impacts, PM2.5 exposure inequity, and carbon market mechanisms for infrastructure adaptation. Professional memberships include ASCE, ACM SIGKDD, AGU, and AAAS. His lab (fanchaolab.com) develops innovative solutions for climate adaptation and equitable urban systems, emphasizing fairness in AI-driven models and network analysis.

Arezoo Hasankhaniمشاهده پروفایل

استادیار

• Control Engineering
• Optimization
• Renewable Energy Systems
• +۵ مورد دیگر

Dr. Arezoo Hasankhani is an Assistant Professor at the University of New Hampshire (UNH) in the College of Engineering and Physical Sciences, affiliated with the Department of Electrical and Computer Engineering and the Ocean Engineering program. She leads the Energy Control and Optimization (ECO) Lab, focusing on marine renewable energy systems, control systems design, and optimization for sustainable ocean resource use. Prior to joining UNH in January 2024, she earned her Ph.D. in Electrical Engineering from Florida Atlantic University and completed a postdoctoral fellowship at Cornell University. Research Interests: Her work integrates control engineering, optimization, and machine learning (e.g., reinforcement learning) to address challenges in ocean energy systems, autonomous underwater vehicles, and marine spatial planning. Key areas include: Design and control co-optimization of marine current turbines Path planning for autonomous systems in uncertain ocean environments Multi-disciplinary approaches to enhance the 'blue economy' through sustainable ocean energy Integration of renewable energy systems into microgrids and power networks Teaching: She teaches graduate-level courses in control systems (ECE/ME 772/872) and ocean instrumentation (OE 610), alongside doctoral research supervision. Collaborations: Her interdisciplinary research bridges control systems, mechanical design, and ocean engineering, supported by close ties with UNH's Ocean Engineering program. Recent projects include wave-powered offshore aquaculture farm planning and reinforcement learning-driven path optimization for marine turbines. Labs/Teams: Leads the ECO Lab, fostering innovation in energy control systems and ocean technology. Collaborates with industry and academic partners on marine energy solutions.

Jody Clarke-Miduraمشاهده پروفایل

استاد

• STEM Education
• Computational Thinking
• Game-Based Learning
• +۳ مورد دیگر

Dr. Jody Clarke-Midura is a Professor and Associate Dean of Graduate Studies in the Emma Eccles Jones College of Education and Human Services at Utah State University. She holds an Ed.D. from Harvard Graduate School of Education, an M.Ed. in Technology in Education, and a B.A. in English and Women’s Studies from the University of Massachusetts. Her research focuses on designing playful, technology-enhanced learning environments to foster STEM engagement and computational thinking in K-12 and early childhood education. Key areas include game-based learning, computational thinking integration, and technology-enhanced assessments. She collaborates on interdisciplinary teams and leads externally funded projects. Clarke-Midura co-directs the Playful Explorations Lab (PEL), which designs STEM learning experiences for elementary classrooms. Her work emphasizes hands-on, student-driven exploration and connects theory to classroom practice. She mentors graduate and undergraduate students, supporting their research development. Her publications address topics like formative assessments, computational thinking assessment frameworks, and the role of coding toys in early math learning. She has contributed to curriculum models integrating computer science and mathematics, and explored cultural relevance in co-design processes. Professional activities include leading graduate studies administration, advising on educational technology initiatives, and advancing inclusive pedagogical practices.

Robert Jacobمشاهده پروفایل

استاد

• Human-Computer Interaction
• Brain-Computer Interfaces
• Implicit Interaction Techniques
• +۳ مورد دیگر

Robert Jacob is a Professor of Computer Science at Tufts University's School of Engineering, where he leads research in human-computer interaction with particular focus on implicit brain-computer interfaces. His work bridges computer science, cognitive science, and interface design to create adaptive systems that respond to users' cognitive states without explicit input. His educational background includes a Ph.D. from Johns Hopkins University. Professional milestones include: ACM CHI Academy membership (2007) ACM Fellow designation (2016) Leadership roles as ACM SIGCHI Vice President and conference chair for CHI, UIST, and TEI Professor Jacob's research centers on implicit interaction techniques, particularly using fNIRS brain sensing to create adaptive interfaces. His work has evolved from foundational studies in reality-based interaction and tangible programming to current neuroadaptive systems that measure cognitive workload in real-time. This research spans domains including music learning, museum education, and general user interface adaptation. His publications reveal consistent focus on brain-computer interfaces since 2012, with increasing sophistication in physiological measurement and machine learning techniques. Recent work integrates multiple physiological signals beyond brain data to create comprehensive user state models. Major recognitions include: CHI 2016 Best Paper Award for music learning research CHI 2014 and 2012 Best Paper Honorable Mentions Keynote addresses at major conferences including Neuroadaptive Technology Conference (2017) Extensive media coverage in New Scientist, IEEE Computer, and Boston Globe Professor Jacob has mentored 17 PhD students who now hold faculty positions at institutions including Worcester Polytechnic Institute, Northwestern University, and Carleton University. His HCI Lab, located in the Joyce Cummings Center, receives funding from NSF and other sources supporting neuroadaptive interface research. Current projects focus on broadening implicit interaction to include multiple physiological measurements while maintaining user privacy and system transparency.

Ziqi Songمشاهده پروفایل

دانشیار

• Transportation network modeling
• Transportation Electrification
• Intelligent Transportation Systems
• +۲ مورد دیگر

Ziqi Song is an Associate Professor in the Department of Civil, Structural and Environmental Engineering at the School of Engineering and Applied Sciences, University at Buffalo. Their research focuses on Transportation Engineering, with expertise in transportation network modeling, electrification, intelligent transportation systems, and traffic operations. Recent work includes zero-emission mobility strategies , electric bus charging infrastructure , autonomous vehicle lane deployment , and pedestrian group dynamics . Key themes involve optimizing transportation systems for electrification, integrating renewable energy into transit networks, and addressing equity in mobility through accessibility studies. Publications show strong emphasis on electric vehicle integration , urban transit optimization , and pedestrian behavior modeling . The work spans multi-disciplinary approaches combining transportation network analysis , renewable energy , and machine learning techniques.

Muhammad R. Hajjمشاهده پروفایل

استاد

• Nonlinear Dynamics
• Fluid Mechanics
• Structural Dynamics
• +۱۲ مورد دیگر

Muhammad R. Hajj is the George Meade Bond Professor, Chair of the Department of Civil, Environmental and Ocean Engineering, and Director of the Davidson Laboratory at Stevens Institute of Technology. With a distinguished career spanning over three decades, his expertise lies in nonlinear dynamics , fluid-structure interactions , and energy harvesting , applying these to ship hydrodynamics , biomimetic flight/underwater vehicles , and coastal resilience . He has mentored 32 PhD students and authored over 170 journal publications. Education PhD (1990), MS (1985), Civil Engineering , University of Texas at Austin BE (1983), Civil Engineering (with Distinction) , American University of Beirut Research Interests Dr. Hajj’s work bridges nonlinear dynamics and fluid mechanics to address challenges in structural/aeroelastic stability , bio-inspired design , and renewable energy systems . His fluid-structure interaction studies focus on ship hydrodynamics , transonic flutter , and storm surge prediction , while his energy harvesting research explores piezoelectric systems , self-powered sensors , and biomimetic energy conversion . Recent Trends in Publications His 2022-2021 publications emphasize coastal extreme weather resilience via AI-driven storm surge modeling , bio-inspired robotic fish for underwater energy harvesting , and nonlinear aeroelastic systems to enhance renewable energy extraction . Themes include high-efficiency piezoelectric designs , vortex-induced vibration control , and ultrasonic contactless power transfer , reflecting his commitment to integrating nonlinear dynamics with practical engineering applications . Scientific Honors Fellow, Engineering Mechanics Institute, ASCE Distinguished Civil Engineering Alumni (AUB, 2019) Dean’s Award for Excellence in Research (VT, 2016) Distinguished Leader in Research (VT, 2016) Excellence in Research Award (VT, 2015) Advising and Grants Dr. Hajj has supervised 32 PhD students , many of whom hold prestigious roles in academia and industry. He has secured major grants, including $1.8M from the Department of Energy for floating wave energy converters , $4.94M from the Port Authority for storm surge forecasting , and $200K from the NSF for bio-inspired telemetry energy harvesting .

Di Zhuمشاهده پروفایل

استادیار

• Geographic Information Science
• Geospatial Artificial Intelligence (GeoAI)
• Spatial Networks
• +۶ مورد دیگر

Di Zhu is an Assistant Professor of Geographic Information Science at the University of Minnesota's Department of Geography, Environment and Society. He directs the Geospatial Data Intelligence (GeoDI) Lab, focusing on GeoAI and social sensing to analyze human-environment interactions in urban systems, public health, and socioeconomic dynamics. His educational background includes a PhD in Cartology and GIScience from Peking University, complemented by a BSc in GIS and a BA in Economics from the same institution. Key research interests include spatial regression models, human mobility patterns, and GeoAI applications. He has collaborated on projects funded by NIH, NSF, and other agencies, exploring topics like spatiotemporal data imputation, urban flow analysis, and pandemic spatial dynamics. His work bridges traditional GIScience with modern machine learning techniques, emphasizing actionable insights from big geospatial data. Teaching focuses on advanced GIS, numerical spatial analysis, and urban sensing. He actively mentors students through the University of Minnesota's Master of GIS program and serves on academic boards including CPGIS. Current projects include analyzing Twin Cities mobility networks and developing intelligent spatial prediction frameworks.

Christos Nicolaidesمشاهده پروفایل

استادیار

• Data Science
• Machine Learning
• Social Networks
• +۵ مورد دیگر

Christos Nicolaides is an Assistant Professor at the Department of Business and Public Administration within the School of Economics and Management at the University of Cyprus (UCY), holding a secondary appointment as a Digital Fellow at MIT's Initiative on the Digital Economy. Previously, he spent three years as a James McDonnell Foundation-funded Postdoctoral Fellow at MIT Sloan School of Management. His educational background includes a PhD in Engineering from Massachusetts Institute of Technology (2014), SM from MIT (2011), MSc in Applied Mathematics from Imperial College London (2009), and BSc in Physics from University of Thessaloniki (2008). Nicolaides' research applies mathematical, statistical, and computational tools to large-scale empirical questions in social influence mediated by digital technologies. His work spans Data Science , Machine Learning , Social Networks , and Computational Social Science , with significant contributions to understanding human mobility patterns, disease transmission dynamics, and social contagion effects. His research has established novel methodologies for analyzing complex network structures in mobility data and social interactions. Analysis of his 15 most recent publications reveals a consistent focus on applying network science to real-world problems, particularly in pandemic response (12 publications), human mobility analytics (9 publications), and social contagion dynamics (7 publications). His work demonstrates increasing interdisciplinary integration, combining computer science, epidemiology, and organizational behavior since 2020. Marie S. Curie Fellow Two Highly Cited Papers by Web of Science (2017, 2020) Best Paper Award by Risk Analysis Society (2019) Professor of The Week by Poets & Quants (2020) As principal institutional investigator, Nicolaides has secured over €1 million in research funding from the European Commission, industry partners, Cyprus Innovation and Research Foundation, and Cyprus Ministry of Health. His current teaching includes Social Networks and Entrepreneurship, Introduction to Operations Management, and Quantitative Methods in Management. Media coverage of his work spans major outlets including The New York Times, CNN, Nature, and Science, with significant impact on public health policy discussions during the COVID-19 pandemic.

Seth Polsleyمشاهده پروفایل

استادیار

• Human-Computer Interaction
• Intelligent Systems
• Educational Technology
• +۴ مورد دیگر

Seth Polsley is an Assistant Professor in the Jeffrey S. Raikes School of Computer Science and Management at the University of Nebraska-Lincoln. His academic home resides in the School of Computing, where he bridges intelligent systems design with human-computer interaction to enhance educational and universal computing experiences. BS in Computer Engineering (2014) - University of Kansas MS (2017) & PhD (2023) in Computer Engineering - Texas A&M University His research explores: Intelligent tutoring systems Brain-computer interfaces Accessible educational technologies Machine learning for child development assessment Sketch recognition in STEM learning Recent publications demonstrate expertise in tactile learning interfaces, sketch-based developmental assessment, and equitable AI systems. Key disciplines span Human-Computer Interaction, Machine Learning, and Educational Technology. Scientific recognition includes: James Blackiston Memorial Graduate Fellowship Sigma Xi Research Award With professional experience at Lexmark International and MIT Lincoln Lab, Polsley combines practical engineering with educational innovation. His work on sketch-based tools and wearable systems addresses both technical and societal challenges in computing.

Guy Brownمشاهده پروفایل

استاد

• Computational Auditory Scene Analysis
• Speech Recognition
• Auditory Modelling
• +۳ مورد دیگر

Professor Guy Brown is Chair of Computer Science at the University of Sheffield's School of Computer Science. He holds a BSc in Applied Science (1984), PhD in Computer Science (1992), and MEd in Teaching and Learning (1997). His research focuses on Computational Auditory Scene Analysis (CASA), noise-robust speech recognition, auditory modeling, and binaural processing. Research interests include: Machine hearing systems for sound source separation Reverberation-robust speech processing Auditory scene analysis models for normal/impaired hearing Applications in robotics and healthcare technologies Publication trends show recent focus on deep learning approaches for biomedical applications including sleep apnea detection, respiratory sound analysis, and multimodal health monitoring systems using neural networks. Honors include: University Senate Award for Excellence in Teaching (2014) Microsoft Software Engineering Innovation Award (2013) He leads doctoral supervision for 15+ students and has secured research funding from EPSRC, Innovate UK, EU FP7, and AHRC. Manages the Speech and Hearing research group and has held visiting positions at international institutions including LIMSI-CNRS and ATR Japan.

Adam Mooreمشاهده پروفایل

استاد

• Geopolitics
• Political Violence
• Ethnic Conflict
• +۵ مورد دیگر

Adam Moore is a Professor in the Department of Geography at UCLA's College of Social Sciences, with a PhD from the University of Wisconsin, Madison (2010). His research examines geopolitical dynamics of conflict and peacebuilding, with expertise in military labor, ethnic conflicts, and post-war reconstruction. Research interests focus on political violence, ethnic conflict dynamics, military contracting, and peacebuilding processes, particularly in Southeast European contexts. His investigations explore how militarization shapes foreign policy and spatial organization. Publications demonstrate sustained focus on conflict geography, military logistics, and peace studies, with recent work examining spatial dimensions of peacebuilding and decolonial geopolitics. Earlier scholarship analyzed military outsourcing and ethnic territoriality. Awards: Globe Book Award for Public Understanding of Geography Julian Minghi Distinguished Book Award Advises PhD students on topics including police violence, migration, and humanitarian infrastructure. Current students include Lindsey Rogers and Irma Losada Olmos.

Amanda Prorokمشاهده پروفایل

استاد

• Multi-Agent Systems
• Robotics
• Collective Intelligence
• +۶ مورد دیگر

Professor Amanda Prorok leads the Prorok Lab at the University of Cambridge's Department of Computer Science and Technology, focusing on multi-agent and multi-robot systems. Her work integrates machine learning, planning, and control to coordinate intelligent agents in shared environments, with applications in transport, environmental monitoring, and search-and-rescue. She is a Fellow of Pembroke College and holds editorial roles at IEEE Robotics and Automation Letters and Autonomous Robots. Education: Ph.D., EPFL (Switzerland); Postdoctoral Research, University of Pennsylvania (USA). Research Interests: The lab pioneers methods like differentiable communication between learning agents and develops decentralized algorithms for navigation, coverage, and coordination. Key themes include neural diversity in collective learning, resilient swarm systems, and environment-aware control. Notable Achievements: ERC Starting Grant, Amazon Research Award, EPSRC New Investigator Award ABB Prize for Best Thesis in Computer Science (EPFL) Teaching: Leads Computing for Collective Intelligence (MPhil/Part III) modules. Lab & Infrastructure: The Prorok Lab operates the Cambridge RoboMaster platform and develops testbeds for connected vehicles and robot swarms. Recent work emphasizes scalable reinforcement learning and graph neural networks for decentralized decision-making.

• Biomedical Engineering
• Tissue Engineering
• 3D Printing
• +۵ مورد دیگر

Neil Lin is an Assistant Professor in the Department of Mechanical and Aerospace Engineering at the University of California, Los Angeles (UCLA), with a joint appointment in Bioengineering. His research focuses on developing 3D-printed tissues that replicate the structure, mechanics, and functionality of human organs, with applications in drug screening and regenerative medicine. Lin leads the Lin Lab - Living Soft Material Engineering , advancing soft and living material engineering through interdisciplinary approaches. Lin holds a Ph.D. and M.S. in Engineering from Cornell University (2016 and 2013) and a B.S. in Engineering from National Tsing Hua University, Taiwan (2008). His work spans biomaterials mechanics, quantitative imaging, and AI-driven biological analysis. Research interests include the structure and dynamics of soft biomaterials, image-based force measurements, and quantitative imaging techniques for material characterization. Recent work explores cell morphology regulation, AI applications in microscopy, and mechanical heterogeneity in live tissues. Lin’s publications highlight advancements in cell trapping, AI-based image translation, and prostate cancer metabolism modeling. He has received prestigious awards, including the Young Investigator Award (2022), Hellman Fellowship, and NIH Maximizing Investigators' Research Award (2022). His lab integrates engineering and biology to address challenges in tissue engineering, with ongoing projects on 3D kidney models, drug response assays, and AI-driven phenotyping of senescent cells.

Douglas H Fisherمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Machine Learning
• Computational Sustainability
• +۳ مورد دیگر

Douglas H Fisher is an Associate Professor of Computer Science and Computer Engineering at Vanderbilt University's School of Engineering. His research focuses on artificial intelligence, particularly machine learning, and computational sustainability. He holds a Ph.D., M.S., and B.S. in Computer Science from the University of California - Irvine. His work bridges AI with societal challenges, emphasizing sustainability, education technology, and cognitive modeling. Notable areas include integrating sustainability into computing curricula, leveraging AI for peer review systems (pReview), and exploring bias mitigation in neural networks. He has contributed to foundational machine learning techniques, such as rule induction for medical data analysis and decision tree optimization. Fisher's research spans interdisciplinary applications: from geospatial water resource modeling to MOOCs' social incentives. His educational contributions include blended learning frameworks and open educational resources advocacy. He has authored over 100 publications across AI, sustainability, and education, reflecting a commitment to both technical innovation and societal impact.