جست‌وجوی استاد و پژوهشگر

• Image Processing
• Computer Vision
• Remote Sensing
• +۴ مورد دیگر

Gabriele Facciolo is a Professor at the Centre Borelli, ENS Paris-Saclay, France. He is a Senior Member of the Institut Universitaire de France (IUF) and holds an Innovation Chair (2025). His research focuses on image and video processing, remote sensing, and super-resolution techniques. Current affiliations: Centre Borelli (ENS Paris-Saclay), Institut Universitaire de France His research explores advanced algorithms for satellite stereo pipelines, real-time deblurring, denoising, and explainable AI systems for legal evidence enhancement. He coordinates projects like ANR SURECAVI (Super-resolution for visible camera systems) and ANR IMPROVED (video enhancement for judicial use), with recent work on Gaussian Splatting for Earth Observation and multi-date satellite super-resolution. Notable scientific achievements include the IGARSS 2025 Top 10 Student Paper Award and leadership in projects funded by ANR (€890k) and Prime Minister's entities (SGDSN/ANSSI). His work bridges computational imaging, defense applications, and digital forensics. Project leadership: SURECAVI, IMPROVED, BOFOR Key technologies: GPU acceleration, real-time processing, optical flow estimation, RPC refinement Gabriele actively contributes to open-source tools like S2P (Satellite Stereo Pipeline), MGM (MultiGlobal Matching), and OMNIflip. He teaches in the Master MVA program and collaborates across institutions (ENPC, UPF).

Leila Notashمشاهده پروفایل

استاد

• Robotics
• Mechatronics
• Kinematics
• +۳ مورد دیگر

Dr. Leila Notash is a Professor in the Department of Mechanical and Materials Engineering at Queen's University, where she has been a faculty member since 1997. She is a Fellow of Engineers Canada (FEC) and a licensed Professional Engineer with Professional Engineers Ontario (PEO), with significant contributions to engineering education and professional service. Her educational background includes: Bachelor of Science in Mechanical Engineering, Middle East Technical University (Ankara, Turkey) - High Honor Student (2nd out of 166) Master of Applied Science in Mechanical Engineering, University of Toronto PhD in Mechanical Engineering, University of Victoria Dr. Notash's research centers on robotics and mechatronics, with specialized expertise in cable-driven parallel manipulators. Her work integrates kinematics, fault-tolerant design, and neural network applications to address challenges in robot calibration, workspace analysis, and motion control under real-world constraints like cable mass and elasticity. She investigates both theoretical frameworks and practical implementations for industrial and specialized robotic systems. Analysis of her recent publications (2020-2024) reveals a clear trajectory toward intelligent control systems, where machine learning techniques—particularly neural networks and reinforcement learning—are increasingly applied to solve complex problems in cable-driven robotics. This includes motion control optimization, path generation, and kineto-static analysis while accounting for physical limitations such as cable elasticity and mass effects, demonstrating a shift from traditional mechanical analysis to data-driven adaptive control methodologies. Her scientific recognition includes: Fellow of Engineers Canada (FEC) University of Toronto Open Fellowship University of Toronto International Differential Fee Waiver Charles S. Humphrey Graduate Student Award NSERC Doctoral Prize Nominee (1996) Dr. Notash has mentored 161 undergraduate students as Faculty Advisor for the Mechanical '06 cohort and pioneered international educational initiatives like the International Undergraduate Student Design project (IVDS), connecting Queen's University with Middle East Technical University and Union College. Her service extends to editorial leadership for Mechanism and Machine Theory and ASME journals, and governance roles including Faculty Senator at Queen's University (2009-2025) and PEO Council Councillor-at-Large (2019-2025). She has established collaborative research networks through initiatives like the Reading Week shop course 'Design Basics 1.0' and sustained leadership in the Canadian Committee for the Promotion of Mechanism and Machine Science (CCToMM) and the International Federation for the Promotion of Mechanism and Machine Science (IFToMM), where she chaired the Permanent Commission on Communications (2006-2011).

Jørgen Arendt Jensenمشاهده پروفایل

استاد

• Medical Ultrasound
• Biomedical Signal Processing
• Digital Signal Processing
• +۴ مورد دیگر

Jørgen Arendt Jensen is a Professor of Biomedical Signal Processing at the Technical University of Denmark (DTU), with dual affiliations in the Department of Health Technology and the Department of Electrical Engineering (DTU Elektro). He leads the Center for Fast Ultrasound Imaging (CFU), a collaborative initiative involving DTU, BK Medical, Rigshospitalet, and DTU Nanotech. His research focuses on advanced medical ultrasound technologies, including synthetic aperture imaging, vector flow imaging, and ultrasound simulation, aiming to improve clinical image acquisition efficiency and accuracy. He teaches medical imaging courses and co-initiated the joint biomedical engineering program between DTU and the University of Copenhagen. Jensen’s work contributes to UN Sustainable Development Goals related to health and innovation. His research interests span algorithm development for fast ultrasound imaging, blood velocity characterization, and simulation of ultrasound systems. He supervises multiple PhD students and collaborates on projects involving transducer design, real-time imaging systems, and microvascular pathology analysis. Recent publications emphasize advancements in super-resolution ultrasound imaging, transducer optimization, and pressure gradient estimation. His lab, CFU, develops cutting-edge imaging solutions for clinical applications. Jensen’s contributions include patents on ultrasound imaging techniques and collaborative ventures to enhance diagnostic capabilities through interdisciplinary engineering.

Maurice Smithمشاهده پروفایل

استاد

• Motor Control
• Sensorimotor Learning
• Neuromotor Adaptation
• +۳ مورد دیگر

Maurice Smith serves as the Gordon McKay Professor of Bioengineering at Harvard University's School of Engineering and Applied Sciences (SEAS), where he leads the Neuromotor Control Lab. His primary appointment resides within the Department of Bioengineering, focusing on the computational and neural mechanisms underlying human movement control. Smith's research centers on sensorimotor learning , motor adaptation , and neuromotor control systems . He investigates how the brain forms and retains motor memories, particularly examining cerebellar contributions to long-term sensorimotor memory and the dissociation between implicit and explicit learning pathways. His work frequently employs computational modeling to dissect neural tuning properties and motor variability regulation. Analysis of his recent publications reveals a strong emphasis on temporal dynamics in motor learning , cerebellar function in memory consolidation , and Bayesian frameworks for understanding sensorimotor adaptation . His research demonstrates consistent focus on how error processing, uncertainty, and neural plasticity shape motor memory formation across multiple timescales. Smith maintains active collaborations with researchers including Wilsaan M. Joiner, Yohsuke R. Miyamoto, and Nathan Sandholtz, as evidenced by frequent co-authorship patterns. His laboratory investigates fundamental questions in motor control with implications for neurorehabilitation and adaptive robotics.

Ebrahim Bedeer Mohamedمشاهده پروفایل

استادیار

• Signal Processing
• Wireless Communications
• Artificial Intelligence
• +۳ مورد دیگر

Ebrahim Bedeer Mohamed is an Assistant Professor in the Department of Electrical and Computer Engineering at the University of Saskatchewan. He joined in July 2019, following roles as an Assistant Professor (Lecturer) at Ulster University, UK, and postdoctoral fellowships at Carleton University and the University of British Columbia. He holds a Ph.D. (Distinction) from Memorial University of Newfoundland (2014), with expertise in signal processing and wireless communications. His research focuses on optimizing communication systems through advanced signal processing techniques, including faster-than-Nyquist signaling, IoT network design, AI integration, and energy-efficient protocols. Key areas include next-generation communication networks, non-orthogonal modulation, and MIMO systems. Notable contributions include work on channel estimation for FTN signaling, RIS-aided wireless systems, and LR-FHSS protocols in IoT. His publications span spectral efficiency, interference minimization, and energy management in 5G/6G contexts. He actively seeks Ph.D. students with strong backgrounds in signal processing fundamentals. Awards and grants are not explicitly listed in the provided texts. His work emphasizes practical applications, such as UAV trajectory optimization for IoT data collection and energy-efficient caching strategies in dynamic networks.

• Japanese Applied Linguistics
• Second Language Acquisition
• Language Education Policy
• +۷ مورد دیگر

Satoshi Miyazaki is a Professor at Waseda University's Graduate School of Japanese Applied Linguistics and affiliated with the Faculty of International Research and Education . With a Ph.D. from Monash University, his work bridges Japanese language education, second language acquisition, and cross-cultural communication. Education Background: Doctor of Philosophy (Japanese Applied Linguistics) - Monash University (1997) Graduate School of Japanese Applied Linguistics - Waseda University (1982) Research Interests focus on Japanese language pedagogy, natural acquisition mechanisms, and interactional strategies for non-native learners. His innovative use of Eye Mark Recorders (EMR) and Event-Related Potentials (ERP) has advanced understanding of cognitive processes in language learning. Recent Articles (2011-2001) reveal trends in Japanese language education reform, cross-cultural learning challenges, and technology-enhanced teaching methods. Key themes include correctional language programs for foreign inmates, immersion environments, and brain processing studies using advanced neuro-linguistic techniques. Research Projects have received continuous funding from Japan Society for the Promotion of Science, including prison language education programs, foreign care worker competence frameworks, and EMR-based lecture comprehension analysis. His work extends to international collaborations with institutions in Australia, the U.S., and Europe.

Sarah E. Steinمشاهده پروفایل

دانشیار

• Auditing
• Corporate Governance
• Accounting Associations and Networks
• +۴ مورد دیگر

Sarah E. Stein is an Associate Professor and Deloitte Foundation Faculty Fellow in the Department of Accounting and Information Systems at Virginia Polytechnic Institute and State University (Virginia Tech). She serves as Director of the Ph.D. Program within the Pamplin College of Business. Her academic journey includes a Ph.D. from the University of Missouri, a B.S. and M.S. in Accounting from Truman State University, and CPA licensure in Colorado. Prior to academia, she worked as an audit manager at Deloitte in Denver. Education: Ph.D., University of Missouri; B.S. and M.S., Truman State University; CPA (Colorado) Roles: Deloitte Foundation Faculty Fellow, Director of Ph.D. Program Dr. Stein’s research focuses on auditor expertise, corporate governance, auditing networks, and financial reporting challenges. Her work has been published in top journals like The Accounting Review and Auditing: A Journal of Practice & Theory . She received the 2019 Best Paper Award in Issues in Accounting Education and the 2020 Innovation in Auditing Education Award for her data visualization audit case. Her recent articles (2023–2025) highlight themes such as audit committee responsibilities, CFO-audit partner dynamics, and small accounting firm strategies. Her teaching includes graduate auditing courses and PhD seminars. Research trends in her articles emphasize audit quality, governance evaluation, and emerging technologies in auditing. She actively contributes to professional standards through commentaries on PCAOB releases. Awards: 2019 Best Paper Award, 2020 Innovation Award, Deloitte Doctoral Fellowship Dr. Stein advises the Ph.D. program and collaborates with industry on audit innovation. Her lab focuses on auditing education and case development, reflecting her commitment to bridging academic research and practical application.

Patricia K. Tongمشاهده پروفایل

عضو هیئت علمی

• Economic Policy
• Public Finance
• Labor Economics
• +۱۲ مورد دیگر

Patricia K. Tong is an economist at RAND and a Professor of Policy Analysis at the RAND School of Public Policy. She specializes in public finance and labor economics, with a strong focus on military and civilian personnel policy, compensation, and health economics. Her research addresses critical issues in military personnel retention, family caregiving, retirement benefits, and access to mental and behavioral health services. Research Interests: Tong’s work combines qualitative and quantitative methods to evaluate monetary and nonmonetary compensation policies, labor market outcomes, and social welfare impacts. Her expertise spans economic policy, health economics, military personnel systems, and family support structures. She has led studies on Social Security survivor benefits, tax policy anti-poverty effects, and nurse staffing standards. Publication Trends: Her recent research centers on military compensation, health care access for service members and families, and financial inclusion. Articles reflect a consistent policy-oriented focus, often supporting governmental reviews such as the Quadrennial Review of Military Compensation, and addressing timely issues like pandemic caregiving and unbanked populations. Scientific Contributions: Published in top journals including American Economic Review and Health Economics Key contributor to national policy discussions on military pay, retention, and health care Research used to inform federal and state-level policy decisions Advising and Grants: While specific students are not listed, her leadership in major research projects indicates a supervisory and mentoring role. She has led federally funded studies on military compensation, health care access, and financial inclusion, demonstrating sustained grant support from defense and public policy agencies. Labs and Teams: Tong conducts research within RAND’s interdisciplinary policy teams, particularly those focused on defense, health, and economic security. Her work often involves collaboration with military stakeholders, federal agencies, and public health experts to develop actionable policy solutions.

Miguel Rico-Ramirezمشاهده پروفایل

دانشیار

• Radar Hydrology
• Hydroinformatics
• Flood Forecasting
• +۳ مورد دیگر

Dr. Miguel Rico-Ramirez serves as Associate Professor of Radar Hydrology and Hydroinformatics at the University of Bristol's School of Civil, Aerospace and Design Engineering. His research integrates advanced radar technology with hydrological modeling to address critical water resource challenges including flood forecasting, drought management, and precipitation measurement across diverse global contexts from South Korea to Mexico City. Education: Bachelor of Engineering (Eng.) Master of Engineering (M.Eng.) Ph.D. in Engineering, University of Bristol His research program focuses on radar-based precipitation estimation, hydroinformatics, and flood prediction systems. He pioneers deep learning applications for rainfall nowcasting and develops innovative methods for uncertainty quantification in hydrological modeling. Current work emphasizes cosmic-ray neutron sensor validation, satellite-based flood mapping, and seasonal forecast applications for reservoir operations, with strong emphasis on translating research into operational water management solutions. Recent publications (2023-2025) reveal three dominant research thrusts: (1) deep learning frameworks for spatiotemporal rainfall prediction, (2) global validation of precipitation and soil moisture datasets using novel sensor networks, and (3) operational implementation of seasonal forecasts for drought mitigation in South Korea. His work consistently bridges radar meteorology with practical hydrological applications across urban and data-scarce environments. Scientific Awards: No specific awards documented in source materials Dr. Rico-Ramirez supervises postgraduate researchers in radar hydrology and hydroinformatics, with projects spanning flood early warning systems, precipitation nowcasting, and climate adaptation strategies. His research receives funding for international collaborations focused on water security challenges, particularly in drought-prone regions and data-scarce basins like the Nile Delta. Current grants support development of integrated forecasting systems combining global datasets with machine learning for extreme event management. He leads the Radar Hydrology research group within Bristol's Water and Environmental Engineering division, collaborating closely with Professor Dawei Han on hydroinformatics and Dr. Rafael Rosolem on water-climate interactions. The team maintains active partnerships with meteorological agencies and water authorities globally, particularly in flood forecasting system implementation across South Korea and Mexico.

Fulvio Dominiمشاهده پروفایل

استاد

• 3D Vision
• Perception and Action
• Visual Neuroscience
• +۳ مورد دیگر

Fulvio Domini is a Professor in the Department of Cognitive, Linguistic and Psychological Sciences at Brown University. He joined Brown in 1999 after completing his MSc in Electrical Engineering and PhD in Experimental Psychology at the University of Trieste, Italy. His research focuses on how the human visual system processes 3D information to enable interaction with the environment, combining computational modeling with behavioral experiments. Key areas include perception-action coupling, depth cue integration, and visuomotor adaptation. Education: Masters in Electrical Engineering, University of Trieste, Italy PhD in Experimental Psychology, University of Trieste, Italy Research Interests: 3D vision and depth perception Integration of stereo and motion cues Perception-action link in grasping movements Computational modeling of visual processing Funded Research: Multiple NSF grants including BCS #1827550 ($523,550, 2018) Investigates temporal integration of visual cues and affine shape representations Teaching: Courses include Computational Vision, Perception, and immersive reality simulations. Recent courses: CLPS 1591 (Vision for Action/Perception), CLPS 0540 (Simulating Reality). Lab: Active research on visuomotor control and perception mechanisms, with a focus on dynamic environments and adaptive systems.

Cristi A. Gleasonمشاهده پروفایل

استاد

• Financial Reporting
• Corporate Taxation
• Earnings Management
• +۳ مورد دیگر

Cristi A. Gleason is a Professor of Accounting at the Tippie College of Business, University of Iowa, holding the prestigious Carlson-KPMG Research Professorship. As Editor of The Accounting Review , she shapes scholarly discourse in the field. Her 20-year academic career spans roles at the University of Arizona and leadership as Department Executive Officer (2020-2024). PhD in Management, Cornell University MS in Business and Public Administration, Cornell University MAC in Accounting, Brigham Young University BS in Accounting, Brigham Young University Professor Gleason's research focuses on corporate financial reporting , particularly income tax disclosures , analyst forecasts , and corporate governance . Her work examines how firms strategize around unrecognized tax benefits , interim reporting , and the information environment created by analyst interactions. Over 20 publications in top journals explore these intersections, emphasizing regulatory impacts like FIN 48 and strategic board composition. Recent research trends include: Worker representation effects on corporate tax behavior Accuracy of tax expense estimation frameworks Contagion risks in accounting restatements Construct validity in accounting measurement Post-Reg FD selective disclosure mechanisms Political economy of accounting standard adoption Scientific Recognition : American Tax Association Manuscript Award (2007) Public Interest Section AAA Best Paper (2020) Recipient of multiple teaching honors, including the Gilbert P. Maynard Award (2013, 2017) and Dean's Teaching Award (2006), she mentors doctoral students through her PhD seminar while maintaining editorial service on Contemporary Accounting Research (2010-2021).

• Optimization for Machine Learning
• Collaborative Learning
• Federated Learning
• +۶ مورد دیگر

Sebastian U. Stich is a tenured Professor at CISPA Helmholtz Center for Information Security and a member of the European Lab for Learning and Intelligent Systems (ELLIS). His research focuses on optimization for machine learning, collaborative learning (distributed, federated, and decentralized methods), efficient optimization techniques, adaptive stochastic methods, and privacy/security in machine learning. Recent appointments include ERC Consolidator Grant 2024 for the CollectiveMinds project. Key contributions in federated/decentralized learning, uncertainty estimation, and communication-efficient optimization. Active in workshop organization, including the Optimization for Machine Learning workshop at NeurIPS 2024. Teaching modern optimization methods at Saarland University (2023-2025). His work has been recognized with awards such as the Google Research Scholar Award (2023) and Meta Privacy-Enhancing Technologies Award (2022) . His research group includes postdocs Dr. Anton Rodomanov and Dr. Rotem Mulayoff, and PhD students Xiaowen Jiang and Yuan Gao.

• Positioning and Navigation Systems
• Transportation Engineering
• Intelligent Transport Systems
• +۶ مورد دیگر

Professor Washington Yotto Ochieng serves as Head of the Department of Civil and Environmental Engineering and Chair Professor in Positioning and Navigation Systems at Imperial College London. He directs the Centre for Active Resilience and Security (CARS) and maintains key affiliations with the Centre for Systems Engineering and Innovation, Centre for Transport Engineering and Modelling, Institute for Molecular Science and Engineering, and Space Lab. His extensive advisory roles include the Science Museum Group Board of Trustees, Royal Institute of Navigation Presidency, and Royal Academy of Engineering Africa Steering Committee. His educational background includes a BSc (First Class) in Engineering from the University of Nairobi and MSc (Distinction) and PhD in Civil Engineering from the University of Nottingham. He received an honorary DSc from Technical University of Kenya in 2023. Ochieng's research pioneers critical infrastructure resilience, user-centric mobility, and positioning/navigation/timing (PNT) systems. He has designed satellite navigation systems (including Europe's EGNOS and GALILEO) for multi-domain applications and advanced Air Traffic Management and Intelligent Transport Systems. His work integrates geomatics, transportation engineering, and sustainable mobility to solve global urban infrastructure challenges, with recent emphasis on decarbonization and AI-driven solutions. His 2024-2025 publications reveal strong trends in sustainable transportation decarbonization, AI-optimized traffic management, and resilient urban positioning systems. Research focuses on hydrogen fuel cell trains, carbon-efficient aviation, and deep reinforcement learning applications for emission reduction, demonstrating interdisciplinary integration of engineering, environmental science, and artificial intelligence to address climate challenges. Fellow of the Royal Academy of Engineering (2013) Harold Spencer-Jones Gold Medal from Royal Institute of Navigation (2019) Doctor of Science (honoris causa) from Technical University of Kenya (2023) Elder of the Order of the Burning Spear (EBS) from Kenya (2023) Commander of the Order of the British Empire (CBE) (2024) Ochieng provides strategic guidance to UK Government bodies (Government Office for Science, Department for Transport, FCDO), European Parliament, and European Court of Auditors. His advisory work shaped the Blackett Review on Satellite-derived Time/Position, UK Space Strategy, and Future of Mobility report. He chairs the Science Museum London Advisory Board and leads FCDO's Sustainable Urban Economic Development program in Africa, with significant grant influence through UK National Physical Laboratory and Department for International Development. He directs the Centre for Active Resilience and Security (CARS) and leads Space Lab initiatives, focusing on mission-critical PNT systems and infrastructure resilience. His teams collaborate with international consortia including RTCM Special Committee 134 and US Institute of Navigation, developing next-generation navigation solutions for safety-critical applications across transport, aviation, and urban environments.

Amir Keyvan Khandaniمشاهده پروفایل

استاد

• Information Theory
• Wireless Communications
• Optical Communications
• +۵ مورد دیگر

Dr. Amir Keyvan Khandani is a Professor and Senior Ciena-NSERC Industrial Research Chair in the Department of Electrical and Computer Engineering at the University of Waterloo. He holds prestigious research chairs including Tier 1 Canada Research Chair in Wireless Communications and former Senior NSERC Chairs with Blackberry and Nortel. His research focuses on information theory, wireless and optical communications, and signal processing, emphasizing foundational principles and practical applications. Dr. Khandani earned his BEng and MEng from Tehran University (1985) and PhD from McGill University (1992). He joined Waterloo in 1993, supervising over 45 PhD students, 35 master’s candidates, and numerous postdoctoral researchers. His alumni work globally in academia and industry. Research interests include Network Information Theory , Media-Based Modulation , Full-Duplex Systems , and Quantum-Safe Encryption . Recent work explores secure key generation, interference management, and next-generation wireless innovations. Notable awards include NSERC/Ciena Industrial Research Chair and multiple Canada Research Chairs. His publications span foundational and applied topics in communications, with recent focus on cybersecurity and 5G/6G technologies. Dr. Khandani actively contributes to conferences, consults for industry/government, and teaches ECE 307 - Probability Theory and Statistics . His lab develops cutting-edge solutions in wireless networks, optical systems, and secure communication protocols.

• Financial Literacy
• Superannuation
• Corporate Governance
• +۵ مورد دیگر

Elizabeth Ooi is a Senior Lecturer of Finance at the UWA Business School, University of Western Australia. She holds a PhD from Monash University and has extensive experience in financial literacy and personal finance research, including consulting for the OECD. Her research focuses on superannuation governance, financial education, and corporate governance, with notable contributions to policy reports and peer-reviewed journals. She has secured over $140,000 in research grants and co-founded the UnderstandingSuper initiative to enhance financial literacy. Education: BA, BCom, PGradDipEc&Com (Monash University), PhD (Monash University). Research interests include financial literacy measurement, gender disparities in financial knowledge, superannuation fund governance, and socially responsible investing. Her work aligns with UN Sustainable Development Goals related to economic empowerment and financial inclusion. Grants and funding include projects with CPA Australia, Industry Superannuation Australia, and the NSW TechVoucher grant. She has supervised multiple PhD and honours students, contributing to academic and policy discussions on financial systems reform. Professional roles include Deputy Director of External Engagement (2018-2022), seminar series coordinator, and board memberships. She has presented globally at institutions like the OECD and the United Nations, and her media engagements include contributions to The Conversation, The Australian, and Sydney Morning Herald.