جست‌وجوی استاد و پژوهشگر

Martin Magnussonمشاهده پروفایل

استاد

• Robotics
• Artificial Intelligence
• Autonomous Systems
• +۵ مورد دیگر

Martin Magnusson is a Professor at the Department of Natural Sciences and Technology, Örebro University, leading the Center for Applied Autonomous Sensor Systems (AASS) and the Robot Navigation and Perception Lab . His research focuses on robotics and artificial intelligence , particularly 3D mapping, localization, radar-based navigation, and human-robot interaction . Email: martin.magnusson@oru.se Phone: +46 19 303870 Location: Room T1222 His work addresses fundamental challenges in achieving robust autonomy through innovations like the 3D Normal Distributions Transform (3D-NDT) and methods for scan registration in dynamic environments. Recent research extends to radar-based navigation and heterogeneous map data integration , with ethical implications regarding military applications of autonomous systems. Key research themes include: Autonomous Perception: Radar and lidar sensor fusion for localization Dynamic Mapping: Flow-aware and quality-assessed environmental models Human-Aware Robotics: Predictive modeling for safe shared-space navigation Professor Magnusson teaches Computer Graphics , connecting academic principles (e.g., ray tracing, light scattering) to applied research in radar simulation models and neural rendering . His research projects span DARKO (agile production robots), NiCE (changing environment navigation), and Radarize (underground autonomous vehicles).

• Electrophysiology
• Neuroethology
• Sensory Information Processing
• +۶ مورد دیگر

Dr. Jan Grewe is a Senior scientific employee at the Institute for Neurobiology, Department of Biology, Faculty of Science at Eberhard-Karls University Tübingen. His research focuses on neuroethology and electrophysiology, particularly studying sensory information processing in weakly electric fish. He is affiliated with the Neuroethology research group led by Prof. Dr. Jan Benda. Dr. Grewe's primary research interests include neural coding, electrosensory processing, and computational neuroscience. He investigates how sensory information is processed by the nervous system to guide behavior, with a specific focus on weakly electric fish as a model system. His work combines electrophysiological recordings with computational approaches to understand neural mechanisms. He is also a strong advocate for open science and open data practices. His recent publications demonstrate expertise in neural coding, electrosensory systems, and data management. The research spans from basic neural mechanisms in weakly electric fish to developing computational models and data standards. His work shows a consistent focus on understanding how neural systems process information efficiently, with applications to both biological and artificial systems. Dr. Grewe has been actively involved in teaching and mentoring, including organizing the G-Node Course on Neural Data Analysis and mentoring in the Google Summer of Code program. His GitHub profile shows active contributions to neuroscience software projects like NIX and odML, which facilitate data sharing and reproducibility in neuroscience research.

• Marine Ecology
• Elasmobranch Biology
• Spatial Modeling
• +۴ مورد دیگر

Dr. James Thorburn is an Associate Professor in Marine Ecology at Edinburgh Napier University's School of Applied Sciences, where he leads research on the spatial ecology and biology of large marine vertebrates. His work focuses on conserving threatened elasmobranchs (sharks, skates, rays) through field research, spatial modeling, telemetry, and habitat assessment, aiming to inform evidence-based conservation policy. He serves as Principal Investigator on national projects, collaborating with academic, NGO, and government partners, while shaping international conservation strategies. PhD: University of Aberdeen on movement and connectivity of spurdog and tope sharks Leadership: People, Culture and Environment Lead; convenor of Animal Welfare and Ethical Review Body Projects: SIORC Report (NatureScot, £20,001), Tiree Tope (NatureScot, £15,568), BlueFish (Scottish Government, £496,331) His recent publications address critical topics in elasmobranch conservation, including habitat assessment for endangered batoids, particle algorithms for tracking, AUV-based ecological studies, and ethical research methodologies. His research supports strategic leadership in institutional governance and mentoring early-career scientists, with a strong emphasis on public engagement and science communication.

Michael Kesslerمشاهده پروفایل

پژوهشگر

• Plant Taxonomy
• Community Ecology
• Plant Autecology
• +۸ مورد دیگر

Michael Kessler is a Researcher at the University of Zurich , affiliated with the Department of Systematic and Evolutionary Botany and Botanical Garden. His work focuses on tropical plant biodiversity and biogeography, investigating the interplay of biotic and abiotic factors with evolutionary processes in regions such as the Andes, Central America, Africa, Indonesia, and the Philippines. Key research areas include fern flora systematics, epiphytic plant ecology, and climate-vegetation interactions in alpine and tropical ecosystems. He employs GIS modeling to analyze plant distribution-climate relationships and explores functional diversity drivers in fern communities. His recent publications highlight global patterns in fern phylogenetics, conservation challenges in tropical cloud forests, and elevational biodiversity dynamics. Collaborations span institutions in the USA (A.R. Smith, J. Grant), Germany (A. Widmer), and Switzerland (G. Zotz, D. Croll).

• Fluid Power Technology
• Hydraulic Systems Design
• Renewable Energy Engineering
• +۳ مورد دیگر

Andrea Vacca is a Professor of Agricultural and Biological and Mechanical Engineering at Purdue University, holding the MAHA Fluid Power Faculty Chair. He is affiliated with the Agricultural & Biological Mechanical Engineering department and contributes to interdisciplinary research in fluid power systems, electro-hydraulic actuation, and energy-efficient mobile hydraulics. Vacca leads research initiatives in hydraulic machinery design, renewable energy integration, and tribology, with a focus on off-road vehicles and agricultural applications. His research interests span fluid power technology advancements, including hydraulic pump dynamics, energy efficiency optimization, and the integration of hydrogen-fueled systems. He has pioneered methodologies for compact electro-hydraulic unit design and has developed novel approaches to fault diagnostics in hydraulic systems using particle filter algorithms. Vacca also focuses on curriculum development, having created virtual reality tools for fluid power education and hands-on hydraulic trainer systems. Vacca’s work bridges mechanical engineering with renewable energy, addressing challenges in wind turbine hydrostatic transmissions and low-energy water desalination systems. His recent efforts include energy regeneration systems for construction equipment and multi-pressure rail architectures for agricultural machinery. He actively participates in academic committees, including the Engineering Named Professorships Committee at Purdue. His contributions to hydraulic system design, fault detection, and energy-efficient technologies have been validated through experimental studies and industry partnerships. Vacca’s research emphasizes practical applications of fluid power innovation in agricultural, construction, and renewable energy sectors.

Caleb Kemereمشاهده پروفایل

دانشیار

• Neuroengineering
• Data Science
• Computer Engineering
• +۷ مورد دیگر

Caleb Kemere is an Associate Professor in the Departments of Electrical and Computer Engineering and Bioengineering at Rice University. His work bridges neuroscience, engineering, and computer science, focusing on neuroengineering, neural decoding, and real-time brain-computer interfaces. He holds a B.S. in Electrical Engineering (with Honors) and a B.A. in Economics from the University of Maryland, College Park, and a Ph.D. in Electrical Engineering from Stanford University. Before joining Rice in 2011, he was a postdoctoral fellow at the Keck Center for Integrative Neurosciences at UCSF. His research explores hippocampal function in spatial navigation and memory, signal processing for neural interfaces, and developing technologies like miniature microscopes and low-power sensors. He has pioneered frameworks such as Spyglass for reproducible neuroscience research and RealtimeDecoder for online neural decoding. Kemere has received prestigious awards including the NSF CAREER Award (2013), HFSP Young Investigator Award (2014), and BRAIN: EAGER Award (2015). His grants include a five-year NSF grant to study Deep Brain Stimulation (DBS) and a neural engineering IGERT grant. His lab, the Realtime Neural Engineering Lab (RNEL), develops tools for understanding and modulating neural activity. Ongoing work addresses closed-loop brain stimulation, environmental uncertainty modeling in foraging behavior, and sleep-based memory consolidation.

Dominik Moritzمشاهده پروفایل

استادیار

• Human-Centered Machine Learning
• Data Science
• Interactive Systems
• +۶ مورد دیگر

Dominik Moritz is an Assistant Professor at the Human-Computer Interaction Institute (HCII) of Carnegie Mellon University and Machine Learning researcher at Apple. He leads the Data Interaction Group and develops systems for interactive data visualization. Ph.D. in Computer Science from University of Washington (2019) B.S. in Computer Science from Hasso Plattner Institute (2013) His research focuses on: Human-Centered Machine Learning Data Visualization Toolkits Interactive Systems Design Accessibility in Visual Analytics Scalable Web-Based Visualization Recent publications address visualization design knowledge formalization (Draco), cross-filtering frameworks (Mosaic), and accessibility evaluation (Chartability). He has received Best Paper Honors at VIS and EuroVis conferences. Professional Collaborations: Co-founder of Vega-Lite visualization grammar Collaborations with Jeff Heer, Bill Howe, Jock MacKinlay Projects with Microsoft Research and Google Research

Torsten Reinersمشاهده پروفایل

مدرس ارشد

• Supply Chain Management
• Logistics and Operations
• Decision Support Systems
• +۵ مورد دیگر

Dr. Torsten Reiners is a Senior Lecturer at Curtin University's School of Management and Marketing, part of the Faculty of Business and Law. His research focuses on Supply Chain Management, Operations Optimization, Emerging Technologies (IoT, Mixed Reality), and Decision Support Systems. He holds a PhD in Information Systems/Education and has expertise in programming and development related to virtual reality and IoT. Key research areas include end-to-end supply chain transparency, urban logistics, cyber-physical systems, and gamification in training. His work bridges Computer Science and Business, with over 50 publications in journals like International Journal of Production Economics and Australasian Journal of Information Systems . He has led projects funded by OLT grants and industry partnerships, including the nDiVE VR training environment for Logistics education. Reiners' contributions span gamification design, virtual world pedagogy, and sustainable supply chain analytics. His current projects explore IoT adoption impacts and agricultural logistics optimization. He advises on digital ecosystems, geospatial analytics, and mental health systems in pandemic contexts.

Timo Gerkmannمشاهده پروفایل

استاد

• Statistical Signal Processing
• Machine Learning
• Speech and Audio Processing
• +۳ مورد دیگر

Prof. Timo Gerkmann is a Professor at the University of Hamburg's Department of Informatics, leading the Signal Processing Research Group. His research focuses on statistical signal processing and machine learning for speech and audio applications, including communication devices, hearing aids, audiovisual media, and human-machine interfaces. He previously held roles at Technicolor Research & Innovation, KTH Royal Institute of Technology, and Siemens Corporate Research. His work emphasizes generative models, diffusion-based approaches, and acoustic signal enhancement. He currently serves as Senior Area Editor of the IEEE/ACM Transactions on Audio, Speech, and Language Processing. Research Interests: Statistical Signal Processing for Speech and Audio Machine Learning Applications in Acoustic Environments Diffusion Models for Audio Restoration Audio-Visual Speech Enhancement Human-Machine Interaction Systems Acoustic Scene Analysis Publications Highlight Trends: Recent works focus on diffusion models for speech enhancement, generative approaches to dereverberation, and audiovisual multimodal analysis. He has pioneered frameworks like ReverbFX datasets and FlowDec codecs, emphasizing perceptual quality and unsupervised domain adaptation. Advising & Grants: While no specific students or grants are listed, his research group actively publishes in top venues, indicating sustained academic contributions. His work bridges theoretical signal processing with applied systems engineering. Labs/Teams: Leads the Signal Processing (SP) Research Group at UHH, specializing in cutting-edge audio technologies and human-centric signal processing solutions.

Aveek Duttaمشاهده پروفایل

دانشیار

• Wireless Communications
• Cognitive Radio
• Signal Processing
• +۲ مورد دیگر

Aveek Dutta is an Associate Professor in the Department of Electrical and Computer Engineering at the University at Albany's College of Nanotechnology, Science, and Engineering. He co-directs the Mobile Emerging Systems and Application (MESA) Lab and holds a PhD in Electrical Engineering from the University of Colorado Boulder (2013), an MS from the same institution (2008), and a Bachelor of Technology from Kalyani University (2002). Dr. Dutta's research spans wireless communications, cognitive radio, signal processing, and radio astronomy. His work focuses on developing advanced techniques for interference cancellation, spectrum sharing, and signal processing in non-stationary wireless environments, with applications in 5G networks, radio astronomy, and vehicular communications. His publications demonstrate consistent focus on wireless system optimization, featuring recent work on reconfigurable intelligent surfaces, MU-MIMO capacity optimization, eigenwave multiplexing, and blockchain applications for spectrum management. Research often bridges theoretical foundations with practical implementations in communication platforms.

Janet Franklinمشاهده پروفایل

استاد

• Landscape Ecology
• Global Change Biology
• Conservation Biogeography
• +۳ مورد دیگر

Janet Franklin is the Endowed Campanile Foundation Professor of Geography at San Diego State University (SDSU), affiliated with the College of Arts and Letters and the Center for Open Geospatial Sciences. Her research focuses on Landscape Ecology, Global Change Biology, and Conservation Biogeography, addressing ecological resilience to human-induced environmental changes. She holds a Ph.D. in Geography from the University of California, Santa Barbara (1988). Franklin’s career includes roles as Distinguished Professor Emerita at UC Riverside, Distinguished Biogeographer, and Adjunct Professorships at Arizona State University and the University of Queensland. She has led interdisciplinary projects on species distribution modeling, climate change impacts, and geospatial technologies. Her research emphasizes understanding plant community dynamics in forests, shrublands, and other ecosystems under global change. Collaborations with international scholars and practitioners drive solutions to ecological challenges. Notable awards include the James J. Parsons Award (2020), election to the National Academy of Sciences (2014), and Distinguished Fellow of the International Biogeography Society (2024).

Ryan Qi Wangمشاهده پروفایل

استادیار

• Urban Informatics
• Human Mobility
• Resilience Engineering
• +۲ مورد دیگر

Ryan Qi Wang is an Assistant Professor of Civil and Environmental Engineering at Northeastern University, jointly appointed with the College of Social Sciences and Humanities. He serves as Associate Research Director for Social Media at the Boston Area Research Initiative (BARI), investigating urban mobility patterns, disaster resilience, and geosocial networks. His research combines urban informatics with complex systems analysis to understand human movement during crises, urban inequalities, and sustainable city development. Recent publications examine mobility responses to environmental hazards, algorithmic biases in mobility models, and data-driven approaches to urban sustainability.

Jun (Brandon) Choiمشاهده پروفایل

دانشیار

• Microwave Circuits and Systems
• Antennas and Antenna Arrays
• Periodic Structures
• +۱ مورد دیگر

Jun (Brandon) Choi is an Associate Professor in the Department of Electrical Engineering at the University at Buffalo, State University of New York . Previously, he taught at Syracuse University and co-advised students at Nazarbayev University and INSA Strasbourg . Education: PhD, Electrical Engineering, University of California, Los Angeles (2014) MS, Electrical Engineering, University of California, Los Angeles (2007) BS, Electrical Engineering, University of California, Irvine (2003) His research focuses on Microwave Circuits and Systems , Antennas and Antenna Arrays , Composite Right/Left-Handed (CRLH) Transmission Lines , and Metamaterials . Key areas include tunable/reflectarray antennas, liquid metal-based flexible devices, high-power microwave systems, and frequency scanning arrays. Recent publications highlight advancements in liquid-metal-tuned metamaterials , CRLH leaky-wave antennas , and plasma-based absorbers . His work intersects Microwave Engineering with Flexible Electronics and High-Power Applications . Award: Highlight Paper in IEEE Trans. Plasma Sci. (2018). Students include current and former graduate researchers at University at Buffalo and Syracuse University , such as Kevin Xu, Nathan Chordas-Ewell, Zhi Li, and Komlan Payne. He also mentors summer visiting students from Nazarbayev University and INSA Strasbourg . He leads the University at Buffalo Microwave Lab , which explores metamaterials , reconfigurable antenna systems , and microwave fabrication techniques .

Bin Zhangمشاهده پروفایل

دانشیار

• Prognostics and Health Management
• Fault Detection and Isolation
• Failure Prognosis
• +۸ مورد دیگر

Dr. Bin Zhang is an Associate Professor in the Department of Electrical Engineering at the Molinaroli College of Engineering and Computing, University of South Carolina. With over 20 years of experience in prognostics and health management, intelligent systems and control, and robotics, he has established himself as a leading researcher in battery management systems, power electronics, and fault-tolerant control systems. Dr. Zhang's educational background includes: Ph.D. in Electrical Engineering from Nanyang Technological University, Singapore M.E. in Mechanical Engineering from Nanjing University of Science and Technology, China B.E. in Mechanical Engineering from Nanjing University of Science and Technology, China His research focuses on active approaches to achieve intelligent smart systems with self-situational-awareness and self-adapting capabilities. Primary interests include prognostics and health management (PHM), which covers fault detection and isolation, failure prognosis, and fault tolerance; robotics and unmanned systems; intelligent systems and control; and dynamic systems design, modeling, simulation and control. His work integrates physics-based models with data-driven techniques and computational intelligence, including pattern recognition and machine learning. Analysis of Dr. Zhang's recent publications reveals a strong emphasis on battery modeling (particularly lithium-ion batteries), power electronics control (including fractional order delay and virtual variable sampling techniques), and deep learning methods (including graph neural networks, deep residual convolutional neural networks, and deep belief networks). His research spans multiple application domains including power grids, batteries, aircraft, helicopters, and manned/unmanned vehicles. Dr. Zhang serves as Associate Editor for prestigious journals including IEEE Transactions on Industrial Electronics, IEEE Transactions on Systems, Man, and Cybernetics: Systems, and Neurocomputing. He is a Senior Member of IEEE and a member of ASME. As director of the Resilient Systems Laboratory, Dr. Zhang advises numerous graduate students working on cutting-edge research in battery technology, power cable insulation, and control systems. His lab is equipped with advanced facilities including an 8-channel ARBIN BT-Smart battery testing system, power electronics control systems, cable/wire testing systems, rotating machinery testing systems, and unmanned vehicles including quadrotors and hexacopters.

• Cognitive Neuroscience
• Interpersonal Coordination
• Joint Action
• +۴ مورد دیگر

Janeen Loehr is a Professor in Psychology and Health Studies at the University of Saskatchewan's College of Arts and Science. Her research focuses on the cognitive and neural mechanisms underlying interpersonal coordination, joint action, and ensemble music performance, employing EEG techniques to study action monitoring and self-other distinctions. She holds a B.A. (Honors) and Ph.D. in Psychology. Her work investigates how individuals synchronize actions in contexts like musical ensembles or conversations, emphasizing sensory attenuation, neural correlates of feedback processing, and shared agency. Key themes include temporal coordination, motor control, and the social neuroscience of collaborative behavior. Loehr has taught courses such as Advanced Human Neuropsychology and Neuroscience Seminars, contributing to both undergraduate and graduate education. Her publications span topics from EEG hyperscanning methodologies to therapeutic applications of music in dementia care, reflecting her interdisciplinary approach to understanding human interaction. Ongoing research explores the neural basis of joint agency and the development of assistive technologies for neurological conditions.