جست‌وجوی استاد و پژوهشگر

• Drone Autonomy
• Drone-Based Remote Sensing
• Aerospace Engineering
• +۷ مورد دیگر

Dr. Fernando Vanegas Alvarez is a Lecturer at the School of Electrical Engineering and Robotics at Queensland University of Technology (QUT). He holds a M.Sc. in Electrical Engineering from Halmstad University and a PhD in Aerial Robotics from QUT. His research focuses on Drone Autonomy, UAV navigation in GNSS-denied environments, and AI-assisted remote sensing. Education: M.Sc. in Electrical Engineering, Halmstad University PhD in Aerial Robotics, QUT Research Interests: Dr. Vanegas' work emphasizes motion planning for UAV exploration , POMDP , SLAM , Visual Odometry , and AI-driven remote sensing applications . His projects include UAV frameworks for planetary exploration, invasive species mapping, and multi-UAV coordination in challenging environments. Scientific Awards: Advanced Queensland Industry Research Fellowship Grant (2024) Supervision & Grants: Dr. Vanegas has supervised three postgraduate students, including topics like planetary exploration UAV systems and multi-agent UAV search algorithms. He actively accepts new students for Honours, Masters, and PhD programs. His research is supported by grants and collaborations with the QUT Centre for Robotics. Teams & Affiliations: He is a core member of the QUT Centre for Robotics and contributes to the School of Electrical Engineering & Robotics. His work bridges robotics, AI, and environmental science.

• Smart Cities
• Climate-Neutral Cities
• Urban Planning
• +۵ مورد دیگر

Annemie Bertha Marcella Wyckmans is a Professor and Head of the NTNU Smart Sustainable Cities initiative at the Norwegian University of Science and Technology (NTNU), within the Faculty of Architecture and Design. She co-leads the Gemini Centre on Climate-Neutral and Socially Innovative Cities and Communities with SINTEF, and coordinates major projects like the Horizon 2020-funded +CityxChange and NEB-STAR. Her background includes an MSc in Architectural Engineering from the Catholic University of Leuven, Belgium, and a PhD/postdoc in Building Technology and environment-friendly architecture at NTNU. Wyckmans pioneered NTNU's international MSc program in Sustainable Architecture and led interdisciplinary education initiatives. Her research focuses on smart cities, climate-neutral urban development, and cross-sector collaboration. Key contributions include frameworks for Positive Energy Districts (PEDs), zero-emission neighborhoods, and social innovation in urban energy systems. She has coordinated EU-funded projects involving academia, industry, and citizen groups, emphasizing participatory approaches to sustainability challenges. Her publications span urban energy policy, sustainable architecture, and interdisciplinary methodologies. Notable works include guidelines for PED implementation and analyses of urban CO2 emissions. She actively promotes Sino-European cooperation in sustainable urbanization through programs like URBAN-EU-CHINA. Her work bridges technical innovation with social and environmental equity, shaping policies for resilient, inclusive cities.

Noémie Sporticheمشاهده پروفایل

دانشیار

• Housing Policy
• Urban Planning
• Health Policy
• +۵ مورد دیگر

Noémie Sportiche is an Associate Professor in the Department of Economics at Harvard University, collaborating with Professor David Cutler to assess the impact of Massachusetts Chapter 40B housing policy on health outcomes. She is also a health policy researcher at Mathematica, focusing on how social policies improve health, equity, and social mobility. Her work integrates urban planning and social epidemiology, informed by her prior experience as an urban planner at the Metropolitan Area Planning Council. Education: PhD in Health Policy (Methods Track), Harvard University (2023) M.S. in Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health B.A. in Cognitive Science, UCLA Her research interests center on housing and land-use policies, causal inference, and policy impact evaluation, particularly in marginalized communities. She investigates how zoning reforms and housing market dynamics influence health equity and social mobility. Key topics include equitable neighborhood choice, spatiotemporal health analyses, and participatory action research. Funded by the Robert Wood Johnson Foundation, her work bridges academia and practice, addressing systemic challenges in housing and health. She contributes to policy design for evidence-based zoning and environmental health interventions. Grants & Partnerships: Collaborations with the California Department of Aging, CMS, and SSA through Mathematica. Labs/Teams: Harvard Economics Department and Mathematica's Policy Research Group.

• Aerospace Engineering
• Autonomous Systems
• Robotics
• +۵ مورد دیگر

Professor Jennifer Palmer is a leading academic in Aerospace Engineering at RMIT University, serving as Head of Department and Associate Dean. Her research focuses on autonomous systems, UAV propulsion, and urban environment operations. She previously led the Trusted Autonomous Systems (TAS) Defence CRC and held roles at the Defence Science and Technology Group (DSTG), emphasizing industry collaboration. Her career spans over 15 years in aerial autonomy and defense-related R&D, with expertise in hybrid power systems for UAVs and flapping flight mechanics. She has published extensively in top-tier journals across Aerospace, Mechanical, and Computer Science disciplines. Current projects include optimizing multimodal transport logistics and exploring fuel types for advanced propulsion systems. Professor Palmer’s work integrates academic research with practical defense and civilian applications, fostering innovation in autonomous technologies and robotic teaming strategies. She is open to supervising PhD and Masters students in aerospace engineering and related fields.

Jovan Brankovمشاهده پروفایل

استاد

• Medical Imaging
• Image Sequence Processing
• Pattern Recognition
• +۳ مورد دیگر

Jovan Brankov is a Professor of Electrical and Computer Engineering and Biomedical Engineering at the Illinois Institute of Technology (IIT), within the Armour College of Engineering. He joined IIT in 2002 as a researcher, became Research Assistant Professor in 2004, and was promoted to Assistant Professor in 2008. His research focuses on medical imaging, image sequence processing, pattern recognition, and data mining, with emphasis on biomedical applications such as tumor detection, motion tracking, and tomographic reconstruction methods. Education: Ph.D. in Electrical Engineering from IIT (2002), M.Sc. from IIT (1999), and Dipl. Ing. from the University of Belgrade (1996). Research interests include medical image quality assessment, multiple-image radiography, 4D/5D tomographic reconstruction, and the ADEPT cancer imager. He leads the Advanced X-ray Imaging Laboratory (AXIL) at IIT, which develops phase-sensitive x-ray imaging technologies. Key awards include the IOP Select Award (2006), AIP Editor's Pick (2015), and Nayar Prize phases I (2015) and II (2016). He serves as an associate editor for IEEE Transactions on Medical Imaging, Medical Physics, and SPIE's Journal of Medical Imaging. His work spans over 150 publications, including peer-reviewed articles and a book chapter. Ongoing projects involve deep learning applications in SPECT imaging, fluorescence-guided surgery, and paired-agent imaging for cancer detection.

• Augmented Reality
• Virtual Reality
• Computer Graphics
• +۶ مورد دیگر

Dieter Schmalstieg is the Alexander von Humboldt Professor of Visual Computing at the University of Stuttgart and an adjunct professor at Graz University of Technology. He leads research in augmented reality (AR), virtual reality (VR), and visualization, with contributions to tracking, rendering, and medical applications. His work spans academia and industry, with over 400 publications and numerous awards, including the IEEE ISMAR Career Impact Award and Fellow of the IEEE. Education: PhD (1997), Habilitation (2001) from Vienna University of Technology. Research: Focuses on AR/VR systems, medical visualization, and real-time graphics. Key projects include the Christian Doppler Laboratory for Handheld AR and collaborations with Qualcomm and VRVis. Awards: START Prize (2002), IEEE Technical Achievement Award (2012), Humboldt Professorship (2023). His teaching includes courses on computer graphics, VR, and real-time rendering. He has advised over 30 PhD students, many of whom hold academic or industry leadership roles. Current research explores situated analytics, mixed reality telepresence (MRUnion), and AR applications in mining and medicine (MiReBooks).

Tuomas Virtanenمشاهده پروفایل

استاد

• Audio signal processing
• Machine listening
• Sound source separation
• +۵ مورد دیگر

Tuomas Virtanen is a Professor at Tampere University's Signal Processing Research Centre within the Faculty of Information Technology and Communication Sciences. His primary affiliation is the Computing Sciences department, where he leads the Audio Research Group . His work focuses on computational analysis of audio signals, machine listening, and acoustic scene understanding. Research Interests: Audio signal processing, content analysis of audio, sound source separation, acoustic scene classification, speech processing (including noise-robust ASR and speaker recognition), and machine learning techniques such as deep neural networks and statistical modeling. His group develops methods for sound event detection, localization, and tracking in complex acoustic environments. Key Contributions: Leading the DCASE (Detection and Classification of Acoustic Scenes and Events) challenges, developing open-source datasets like TUT Acoustic Scenes and STARSS, and advancing techniques in audio captioning, privacy-preserving audio processing, and multimodal learning. Notable Projects: Creation of the Audio Research Group , development of the Clotho audio captioning dataset, and pioneering work in zero-shot audio classification using semantic embeddings. His research bridges signal processing fundamentals with modern machine learning paradigms.

• Artificial Intelligence
• Robotics
• Computer Vision
• +۴ مورد دیگر

Hulya Yalcin is an Assistant Professor in the Department of Mechanical Engineering at Istanbul Technical University. Her research focuses on artificial intelligence applications in robotics, computer vision, and precision agriculture. She leads projects in musculoskeletal modeling, plant phenology monitoring, and assistive technologies for elderly care. Her work contributes to UN Sustainable Development Goals related to innovation, health, and sustainable agriculture. Key projects include using deep learning for crop yield estimation and developing exergaming systems to improve elderly health. She has authored 52 research outputs and secured funding for initiatives like AISENSE (EU-funded exergames) and plant classification via computer vision. Publications span robotics control, medical engineering, and agricultural informatics. Notable contributions include knee orthosis gait learning via deep reinforcement learning and low-resource Turkish speech recognition improvements. As Principal Investigator, she manages projects on plant classification using CNNs, drone-based depth mapping, and multimodal assisted living systems. Her research bridges AI with practical applications in healthcare, agriculture, and robotics.

Jeffery M. Leonardمشاهده پروفایل

استاد

• Hebrew Bible Studies
• Ancient Near Eastern History
• Inner-Biblical Allusions
• +۳ مورد دیگر

Jeffery M. Leonard is a Professor in the Department of Biblical and Religious Studies at Samford University's Howard College of Arts and Sciences. He specializes in Hebrew, the Hebrew Bible, and the ancient Near East, teaching courses like Elementary Hebrew and Creation and Covenant. A highly regarded educator, he has received multiple awards for teaching excellence, including the 2016 Joe O. Lewis Faculty Scholar Award and the 2019 Howard College Outstanding Teaching Award. Leonard's research focuses on inner-biblical allusions, particularly in historical psalms and the relationship between Torah traditions. His notable publications include Creation Rediscovered (2020) and a two-volume commentary on Exodus (2023). He also explores themes like biblical creation narratives and the intersection of theology with historical texts. His academic journey includes a PhD from Brandeis University (2006) and an MDiv from Alliance Theological Seminary (1995). Beyond academia, Leonard is an ordained minister and actively engages with local communities through lectures and presentations on biblical themes.

Stefan Köhlerمشاهده پروفایل

استاد

• Human Memory
• Cognitive Neuroscience
• Human Brain Mapping
• +۳ مورد دیگر

Dr. Stefan Köhler is a Professor and Department Chair of Behavioral and Cognitive Neuroscience at Western University's Department of Psychology. He also serves as a Principle Investigator at the Western Institute for Neuroscience and holds affiliations with the Rotman Research Institute and Rotman Institute of Philosophy. His research focuses on the neural and cognitive mechanisms of human memory, particularly in aging, neurological, and psychiatric disorders. Dr. Köhler holds a Diplom (MSc) from the University of Bielefeld and a PhD from the University of Toronto (1995). He completed postdoctoral training at the Montreal Neurological Institute under Dr. Brenda Milner. His work employs techniques like fMRI, TMS, and behavioral experiments to study memory impairments and their neural substrates. Research Interests: The lab explores episodic memory's functional and anatomical organization, including interactions between memory systems and visual processing, neural correlates of novelty detection, and hippocampal contributions to pattern separation. Key themes include how brain regions differentiate memory types and support perceptual discrimination. Labs/Teams: Active in the Western Institute for Neuroscience and collaborates with the Rotman Research Institute. His lab integrates clinical neuroscience with advanced neuroimaging methods. Grants/Advising: Not explicitly listed, but his extensive publication record suggests sustained funding for studies on memory disorders and neuroimaging techniques. Advises graduate students in neuroscience and psychology programs.

Linnea Lorentzenمشاهده پروفایل

استادیار

• International Trade
• Labor Economics
• Globalization
• +۷ مورد دیگر

Linnea Lorentzen is a Tenure-Track Assistant Professor in the Department of Economics at the Faculty of Social Sciences, University of Oslo. Her research focuses on international trade and labor market dynamics, particularly how globalization, trade shocks, and automation impact inequality and labor reallocation across regions. Research Interests: International Trade and Labor Market Responses Effects of Globalization and Automation Income and Regional Inequality Sectoral Reallocation and Worker Mobility Trade Shocks (e.g., China Shock) Energy and Environmental Economic Shocks Her recent work analyzes the joint impacts of trade and automation on U.S. commuting zones and the wage implications of oil price shocks in Norway using advanced structural models. Her publications appear in top journals such as the Journal of International Economics . Scientific Awards: Best Paper Award at the 21st Annual GEP/CEPR Postgraduate Conference Advising and Grants: While specific students or grants are not listed, her active research agenda and conference recognition suggest involvement in academic mentoring and likely participation in research funding projects, particularly those related to trade, labor, and structural economic change. Labs and Research Teams: She is affiliated with the Department of Economics at the University of Oslo, contributing to research in applied microeconomics and international economics, though specific lab or team names are not mentioned in the provided texts.

• Biomembrane structure and dynamics
• Lipid monolayer dynamics
• Molecular dynamics simulations
• +۳ مورد دیگر

Matti Javanainen is an Assistant Professor and head of the BioInterfaces research group at the Computational Physics Laboratory within the Faculty of Engineering and Natural Sciences at Tampere University. His research focuses on computational biophysics, specifically using molecular dynamics simulations to study biomembrane structure, lipid dynamics, and protein-lipid interactions. He holds a Master of Science (Technology) from Tampere University (2012) and a Bachelor of Science (Technology) from the same institution (2010). Research interests include the dynamics of lipid monolayers and bilayers, pulmonary surfactant systems, and the development of simulation methodologies. Key contributions include work on interleaflet coupling in membranes, cholesterol's role in membrane viscosity, and force field improvements for coarse-grained modeling. Javanainen leads a team exploring computational approaches to understand biological interfaces at the molecular level. Recent articles highlight advancements in lipid diffusion analysis, membrane protein behavior in crowded environments, and the impact of omega-3 fatty acids on receptor dynamics. His work bridges computational methods with experimental insights, contributing to fields like drug delivery and membrane biology. Collaborations span international teams, emphasizing interdisciplinary approaches to membrane science.

Ashok Agrawalaمشاهده پروفایل

استاد

• Computer Systems
• Distributed Algorithms
• Real-Time Systems
• +۱۰ مورد دیگر

Ashok Agrawala is a Professor in the Department of Computer Science at the University of Maryland, with joint affiliations in the University of Maryland Institute for Advanced Computer Studies (UMIACS) and the Department of Electrical Engineering. He directs the Maryland Information and Network Dynamics (MIND) Lab, a leading research group focused on real-time systems, network performance, and wireless localization technologies. Education: B.E. and M.E. in Electrical Engineering, Indian Institute of Science, Bangalore M.A. and Ph.D. in Applied Mathematics, Harvard University His research interests span computer systems, distributed algorithms, real-time operating systems, network performance modeling, traffic shaping, and indoor localization . He is renowned for pioneering the Ricart-Agrawala distributed mutual exclusion algorithm, developing the Maruti real-time operating system, and creating the Horus and Locus indoor positioning systems. His work has led to significant advances in temporal guarantees, jitter-free data delivery, and calibration-free localization. His recent publications show sustained innovation in wireless localization, context-aware computing, breath analytics, and energy-efficient IoT systems , reflecting an evolving research trajectory toward smart health and urban computing. He has authored over 200 papers and seven books, with consistent publication activity into 2024. Scientific Recognition: Fellow, IEEE Member, ACM Member, AAAS Member, Sigma Xi Agrawala has advised over thirty Ph.D. students, many of whom now lead research in academia and industry. His research has been funded by DARPA, NSF, and AFOSR, with corporate partnerships from IBM, Novell, and AT&T. He previously worked at Honeywell Information Systems, where he designed an Optical Character Reader. He has also served as a consultant to the UNDP and the Government of India, and as a technical expert in legal cases. He leads the MIND Lab, which focuses on mobile computing, wireless networks, and context-aware systems , continuing to innovate in real-time and networked systems.

Francesco Picarielloمشاهده پروفایل

پژوهشگر

• Electrical and Electronic Measurements
• Data Acquisition Systems
• Compressive Sampling
• +۷ مورد دیگر

Francesco Picariello is a Researcher at the Department of Engineering (DING) at the University of Sannio, specializing in Electrical and Electronic Measurements (ING-INF/07). His academic profile shows extensive expertise in measurement systems, data acquisition, and signal processing with applications across multiple domains including biomedical engineering, structural health monitoring, and wireless communications. His research interests focus on the design, implementation, and metrological characterization of mobile measurement systems, wireless sensor networks, data acquisition systems based on compressed sensing, signal processing, and image processing. These research activities have been applied to intelligent transportation systems, aerial photogrammetry using UAVs, indoor navigation, motion tracking, power consumption analysis of processors, wideband data acquisition systems, and physiological monitoring applications. Dr. Picariello's work demonstrates significant trends in compressive sampling techniques, with numerous publications on ECG signal processing, RF emitter localization, and structural health monitoring systems. His research shows a clear progression toward IoT integration, wearable medical devices, and security applications for communication channels. His scientific collaborations include institutions such as the University of Naples 'Parthenope', Military University of Technology of Warsaw, National Institute of Standards and Technology (NIST), Keysight Laboratories, CERN Institute, and the University of Tokyo, reflecting the international recognition of his work. As an active researcher with publications spanning from 2016 to 2025, Dr. Picariello has made substantial contributions to measurement science, particularly in the development of novel techniques for data acquisition, signal processing, and system metrological characterization across multiple application domains.

Quentin Stiévenartمشاهده پروفایل

پژوهشگر

• Abstract Interpretation
• Concurrency
• Static Analysis

Quentin Stiévenart is a researcher at Université du Québec à Montréal, focusing on abstract interpretation, concurrency, and static analysis. His work spans programming language design, software verification, and tool development for WebAssembly and functional languages like Racket and Scheme. Active in organizing and reviewing for conferences including SPLASH, ICFP, ECOOP, and SAS Developed tools such as Wassail for WebAssembly static analysis and RacketLogger for educational purposes Contributions include theoretical work on effect-driven flow analysis and practical advancements in concolic execution abstraction His research addresses challenges in concurrency verification, cyclic reinforcement in incremental analysis, and security-focused taint tracking across multiple language paradigms.