جست‌وجوی استاد و پژوهشگر

• Music Composition
• Jazz Studies
• Music Entrepreneurship
• +۳ مورد دیگر

Ben Allison is a Professor and educator at The New School's College of Performing Arts, specializing in music composition, jazz studies, and music entrepreneurship. He is a renowned bassist, composer, and producer with 19 albums released, including Moments Inside (2021) on his label Sonic Camera Records. His work spans international performances and festivals, including Carnegie Hall and the Newport Jazz Festival. He co-founded and directed the Jazz Composers Collective (1992-2005), fostering new music through 100+ concerts and residencies. A vocal advocate for artists' rights, he testified in Congress for the Music Modernization Act and chairs university committees like the University Faculty Senate. His teaching includes courses on entrepreneurship, music technology, and socially engaged artistry. Awarded 9 SESAC Performance Awards and recognized in Downbeat Critics Polls, Ben's research focuses on Herbie Nichols' unpublished works, with four albums planned. He has received grants from the National Endowment for the Arts, Chamber Music America, and others.

Gergely Vakulyaمشاهده پروفایل

دانشیار

• Cybersecurity
• Agricultural Technology
• Sensor Networks
• +۳ مورد دیگر

Dr. Gergely Vakulya is an Associate Professor and Research Fellow at Óbuda University. He specializes in interdisciplinary research spanning cybersecurity, agricultural technology, sensor networks, and image processing. His work integrates hardware design, algorithm development, and real-world applications. Dr. Vakulya’s recent focus includes developing rumen bolus sensors for dairy cattle health monitoring, gamification of cybersecurity training, and innovative methods in camera exposure time measurement. He is affiliated with Óbuda University’s Budai Road and Pirosalma Street campuses, with an office at building F room 316. His research frequently addresses challenges in data collection, sensor fusion, and embedded systems. Research Interests: Dr. Vakulya’s expertise includes cybersecurity frameworks (e.g., CTF challenges), agricultural IoT systems (e.g., rumen bolus sensors for livestock monitoring), and image processing techniques (e.g., genetic algorithms for shape approximation). His work on visible light communication (VLC) and wireless sensor networks highlights his contributions to communication protocols and energy-efficient systems. Recent trends in his publications emphasize cross-disciplinary approaches, such as applying AI methods to agricultural sensor data and optimizing sensor networks for real-time applications. Advising & Grants: No specific advising relationships or grants are listed in available materials. His research infrastructure is likely supported through institutional and collaborative projects. Labs/Teams: While not explicitly stated, his research likely involves collaborations within Óbuda University’s engineering and computer science departments. His work on rumen sensors and VLC systems suggests potential affiliations with robotics, biomedical engineering, or smart agriculture research groups.

• Embedded Systems
• AI Algorithms
• FPGA/VHDL Design
• +۵ مورد دیگر

Jürgen Wassner is a Professor of Edge Computing and Co-Head of the Competence Center for Intelligent Sensors and Networks at the Lucerne School of Engineering and Architecture (HSLU T&A). He holds a master's degree from Technical University of Dresden and a PhD from ETH Zurich. His career spans industry roles in Silicon Valley Group Inc. and telecommunication R&D before joining academia in 2007. His research focuses on embedded systems, AI at the edge, FPGA/VHDL design, real-time systems, and powerline communication . He leads projects such as 'Visual-Servoing Testbed with AI-Hardware in the Loop' and 'Low-Cost High-Performance Intelligent Camera for Space Debris Mitigation,' collaborating with companies like Diehl Aerospace. Recent publications emphasize wire fault detection using powerline communication, AI-based odor classification systems, and hardware acceleration for CNNs. His work bridges theoretical research with practical applications in avionics, rail freight, and space debris mitigation. Wassner advises Master of Science in Engineering students and has been recognized for his media engagement including a feature in the Luzerner Zeitung. He teaches Digital Design (FPGA, VHDL) and Digital Signal Processing , emphasizing hands-on implementation of cutting-edge systems.

Florian Krautkrämerمشاهده پروفایل

استاد

• Author Film
• Experimental Film
• Documentary Film
• +۱۲ مورد دیگر

Florian Krautkrämer is Professor at the Lucerne University of Applied Sciences and Arts – School of Design, Film and Art since 2018, where he serves as Head of the +Colabor-Module. His academic journey includes a visiting professorship in Film Studies at Johannes Gutenberg-Universität Mainz (2017/2018) and prior work as a research assistant in Media Studies at HBK Braunschweig (2005-2016). He completed his PhD in 2011 with the dissertation 'Schrift im Film' (Writing in Film). His research spans multiple dimensions of contemporary film practice and theory. Krautkrämer focuses on author film, experimental film, and documentary film, with special attention to mobile media and portable technologies. His work examines discourses, theories and aesthetics of digital film, media industries & production cultures, and post-cinematographic film reception and distribution. He has developed significant expertise in film history, theory and aesthetics, film funding mechanisms, and media paratexts. Recently, his research has expanded into interactive documentary forms, camera studies, and sustainable film production practices. Krautkrämer's recent publications reveal a trajectory moving from traditional film studies toward emerging media forms and production practices. His work shows increasing focus on participatory filmmaking, camera technology's impact on aesthetics, and the transformation of documentary practices in the digital age. The emergence of interactive documentary as a research focus since 2021 represents a significant shift in his scholarly attention, alongside continued engagement with historical film forms and zombie film studies as cultural critique. As principal investigator, Krautkrämer leads multiple significant research projects including an SNSF-funded project on Interactive Documentary Film (since September 2021) and a newer SNSF-funded project researching analog film equipment from private Swiss collections. He co-directs the DFG network 'Camera Studies' with Prof. Winfried Gerling, launching in April 2024. Additionally, since 2023 he has been offering Switzerland's first certified Green Consultant training for Film and Media Productions in Lucerne.

Morgan Sandlerمشاهده پروفایل

دانشیار

• Digital Cinematography
• Film Production
• Visual Storytelling
• +۳ مورد دیگر

Morgan Sandler is an Associate Professor of Digital Film Production at the University of La Verne’s College of Arts and Sciences. He serves as part of the Academic Advisors team and teaches courses in video production, cinematography, and film directing. Prior to joining La Verne in 2016, he designed the digital cinematography program at California State University, Los Angeles, and previously led the Cinematography department at the Los Angeles Film School. His professional career spans 17 years in cinematography, with clients including Disney, MTV, ABC, and Funny or Die. Education: Masters of Fine Arts in Film, Television, and Theatre, California State University, Los Angeles Bachelor of Arts in Directing, Los Angeles Film School Research & Creative Work: Sandler specializes in visual storytelling techniques, as demonstrated in his authored book *Visual Storytelling: How to Speak to the Audience Without Saying a Word*. His expertise bridges academic instruction and industry practice, emphasizing practical skills in digital cinematography and narrative filmmaking. Professional Affiliations: RED Camera certified instructor, active photographer, and former department head at the Los Angeles Film School.

Juan Andrade Cettoمشاهده پروفایل

پژوهشگر

• Mobile Robotics
• Computer Vision
• Neuromorphic Systems
• +۳ مورد دیگر

Juan Andrade Cetto is a Researcher at the Institute of Robotics and Industrial Informatics (IRI), part of the Spanish National Research Council (CSIC). He previously served as Director of IRI from 2014 to 2020. His expertise spans mobile robotics, computer vision, and neuromorphic systems. He holds a BSEE from CETYS University (1993), an MSEE from Purdue University (1995), and a PhD in Robotics from the Universitat Politècnica de Catalunya (UPC, 2003), recognized with the EURON Georges Giralt Best PhD Award in 2005. Research Interests: - Mobile Robotics and Autonomous Systems - Event-based Vision and Neuromorphic Sensors - Real-time Sensor Fusion and SLAM - Control Systems for Energy Conversion (e.g., PEM Fuel Cells) - Probabilistic Methods for Robotics and Computer Vision Recent Research Trends: His work emphasizes neuromorphic computing and event-based systems for robotics applications, including optical flow estimation, ego-motion tracking, and real-time SLAM. Collaborations include EU projects like ALLIES (AI for Sustainable Development Goals) and RAMON LLULL (AIRA Postdoctoral Programme). He leads the BOMBUS project (Perception and Navigation for Agile Robotics, 2024–present). Scientific Awards: EURON Georges Giralt Best PhD Award 2005 Grants & Leadership: Principal Investigator in multiple national/EU projects including BOMBUS (CSIC) and ALLIES (European). Advising: - Current Students: José Agustín Aguilar Plazaola (Fuel Cell Control), Raquel De Frutos Arranz (Event Camera-based Collision Avoidance) - Past Students: Not explicitly listed in provided text. Labs & Teams: Active in IRI’s Robotics and Industrial Informatics research groups, focusing on applied robotics and sensor systems.

Leonidas Guibasمشاهده پروفایل

استاد

• Computer Vision
• Computer Graphics
• Machine Learning
• +۵ مورد دیگر

Leonidas Guibas is the Paul Pigott Professor of Computer Science at Stanford University, leading the Geometric Computation group. He is a Hans Fischer Senior Fellow at the Technical University of Munich (TUM), associated with the Visual Computing Focus Group under Prof. Matthias Nießner. His research bridges computer vision, graphics, and machine learning, focusing on 3D data processing, geometric modeling, and sensor networks. Guibas holds prestigious awards including the Vannevar Bush Fellowship and ACM Allen Newell Award, and is a member of the US National Academy of Engineering and American Academy of Arts and Sciences. Education: Ph.D. from Stanford University under Donald Knuth, with prior appointments at Xerox PARC, MIT, and international institutions. His work emphasizes algorithms for sensing, reasoning, and acting in physical environments, with contributions to robotics, computational geometry, and discrete algorithms. Research interests span 3D vision (e.g., generative models for shape synthesis), deep learning architectures for spatiotemporal data, and multimodal sensor integration. Recent projects include object pose estimation, functional relationship learning in scenes, and deformation-aware 3D model retrieval. Publications highlight advancements in 3D reconstruction, point cloud analysis, and geometric deep learning. His TUM fellowship supported work on digital twins and visual computing, emphasizing high-fidelity environmental modeling. Awards also include IEEE and ACM Fellowships, underscoring his impact on theoretical and applied computer science.

• Robotics
• Control Systems
• Medical Engineering
• +۳ مورد دیگر

Liangjing Yang is an Adjunct Associate Professor at the University of Illinois at Urbana-Champaign and an Assistant Professor at Zhejiang University. He holds a Doctor of Engineering from the University of Tokyo (2014), a Master of Engineering from the National University of Singapore (2011), and a Bachelor of Engineering from the same institution (2008). His academic positions include research fellowships at MIT, SUTD, and the University of Tokyo, alongside his current faculty roles. His research focuses on robotics, control systems, and medical engineering , with applications in image-guided surgery, human-robot interaction, and precision engineering. Key areas include robotic micromanipulation, adaptive control strategies, and vision-based tracking systems for surgical navigation. Yang's teaching contributions include courses such as Resident Instruction Dynamics of Mechanical Systems , Signal Processing , and Control Systems at ZJUI (Zhejiang University-UIUC Institute). He has received accolades like the First Prize in ZJU-UIUC Junior Faculty Course Design Competition (2022) and the SUTD-MIT Postdoctoral Fellowship (2016) . His research articles span topics like robotic solutions for 3D printing, medical imaging integration, and collaborative human-robot systems. Notable work includes Detect-Remove-Replace: A Robotic Solution That Enables Unmanned Continuous 3D Printing (2022) and Review on Vision-Based Tracking in Surgical Navigation (2020).

Marcus Holzingerمشاهده پروفایل

استاد

• Space Policy
• Space Situational Awareness
• Information Theory
• +۴ مورد دیگر

Dr. Marcus Holzinger is the Joseph T. Negler Professor and Hatfield Endowed Professor in Space Policy & Law at the University of Colorado Boulder's Department of Aerospace Engineering Sciences. He leads the Colorado Center for Astrodynamics Research (CCAR) and the VADeR Laboratory, focusing on advancing space exploration through interdisciplinary research in space policy, autonomy, and space situational awareness. His work emphasizes collaboration and sustainable practices in space. Education: PhD in Aerospace Engineering Sciences, University of Colorado Boulder (2011) MS in Aeronautics & Astronautics Engineering, University of Washington (2005) BS in Aeronautics & Astronautics Engineering, University of Washington (2003) Research Interests: Space Policy & Law Space Domain Awareness Autonomy & Decision Support Systems Cislunar Space Dynamics Information Theory & Estimation Space Traffic Management Recent Research Trends: Holzinger’s work prioritizes cislunar space exploration and decentralized decision-making for space systems, with applications in orbital debris mitigation, sensor tasking, and spacecraft autonomy. His publications frequently address challenges in initial orbit determination and spacecraft maneuver detection . Awards: American Astronautical Society Fellow (2022) AIAA Associate Fellow (2018) AFOSR Young Investigator Award (2017) Advising & Labs: Holzinger mentors students in the STARLIT and VADeR Observatories. Notable advisees include Sam Fedeler (2023 PhD) and Katie Melbourne (PhD student). His labs develop technologies like astrographic mapping and sensor networks for space surveillance. Labs/Teams: CCAR and the VADeR Lab collaborate on projects funded by NASA, AFRL, and industry partners, emphasizing hardware-in-the-loop testing and space policy frameworks.

• Computer Vision
• Machine Learning
• Document Analysis
• +۵ مورد دیگر

Ujjwal Bhattacharya is affiliated with the Indian Statistical Institute, India. His primary research focuses on computer vision, machine learning, and document analysis with a strong emphasis on multimodal perception systems and deep learning applications. He has published extensively in top-tier venues like ICPR, ICDAR, CVPR, and BMVC, contributing to advancements in autonomous driving, image processing, and privacy-aware machine learning. His work spans from developing robust pedestrian detection systems using multimodal sensors to enhancing degraded document image processing through domain adaptation and advanced neural architectures. Recent contributions include semi-supervised 3D object detection frameworks and privacy-preserving clustering techniques. Key research areas include: Multimodal sensor fusion for autonomous systems Deep learning for document analysis and OCR Privacy-aware metric learning Efficient neural network compression techniques Image enhancement and restoration His publication trends reflect a focus on solving real-world challenges in autonomous driving, degraded document processing, and privacy-sensitive machine learning applications.

Thy Phuمشاهده پروفایل

استاد

• Visual Studies
• Critical Race Studies
• Transnational American Studies
• +۳ مورد دیگر

Thy Phu is a Professor in the Department of English and Writing Studies at Western University's Faculty of Arts and Humanities. She holds a PhD from UC Berkeley (2003), an MA (1998), and BA (1997) from McMaster University. Her institutional affiliations include Senior Visiting Research Fellow at the Asia Research Institute (National University of Singapore) and Visiting Bicentennial Associate Professor of Canadian Studies at Yale University. She is currently a Member of the College of New Scholars at the Royal Society of Canada. Her research spans visual studies, critical race theory, and transpacific critique. Key projects include the SSHRC-funded Family Camera Network (familycameranetwork.org), which preserves diasporic photo histories, and collaborative works like States of Refuge with Vinh Nguyen. Her scholarship interrogates racialized citizenship, war imagery, and refugee narratives through decolonial frameworks. Analysis of her publications reveals consistent focus on visual archives as sites of political struggle, particularly examining Asian American and Vietnamese diasporic experiences. Her work bridges affect theory, critical race studies, and transnational history, demonstrating how photographs mediate citizenship claims and trauma across geopolitical boundaries. SSHRC Insight, Connection, and Partnership Development Grants Mellon Postdoctoral Fellowship (University of Toronto) Royal Society of Canada College Membership Yale University Visiting Professorship As Principal Investigator for the Family Camera Network , she leads a multi-institutional team digitizing community photo collections to explore migration narratives. Her current projects include the monograph Warring Visions and collaborations examining humanitarian exceptionalism in Canadian refugee policy. She serves on editorial boards for major journals in visual culture and American studies.

Janne Gaubمشاهده پروفایل

دانشیار

• Policing Practices
• Body-Worn Cameras (BWCs)
• Police Misconduct
• +۴ مورد دیگر

Dr. Janne Gaub is an Associate Professor in the Department of Criminal Justice and Criminology at the University of North Carolina at Charlotte, with affiliate roles in Public Health Sciences and Public Policy Ph.D. programs. Her research focuses on policing practices, particularly body-worn cameras (BWCs), police misconduct, gender dynamics in law enforcement, and specialized units. She holds a Ph.D. in Criminology and Criminal Justice from Arizona State University (2015), along with an M.A. (2009) and B.S. (2008) from Arizona State and the University of Arizona respectively. Dr. Gaub’s work emphasizes empirical and policy-oriented studies, including analyses of BWC utility, misconduct typologies, and gender disparities in policing. She has contributed to high-impact journals like Criminology and Police Quarterly , and serves as Chair of the American Society of Criminology’s Division of Policing, Executive Counselor for the Division of International Criminology, and editorial board member for Criminal Justice & Behavior . Her research bridges academic and practical domains, addressing contemporary policing challenges such as technology integration, officer accountability, and organizational reform. Key themes include the societal implications of policing practices and equitable policy development.

Daniel Göhringمشاهده پروفایل

استاد

• Autonomous Vehicles
• Mobile Robotics
• Computer Vision
• +۶ مورد دیگر

Prof. Daniel Göhring is a professor in the Department of Computer Science at the Free University of Berlin, leading the Autonomous Cars Lab and part of the Dahlem Center for Machine Learning and Robotics. His research emphasizes robotic perception, object tracking, and real-time planning under computational constraints, with a focus on autonomous vehicles and cooperative systems. Education: Bachelor's/Master's in Robotics (exact program unspecified) PhD in Computer Science at Humboldt University Berlin Postdoctoral Research at International Computer Science Institute (ICSI), Berkeley, CA Research Interests: Daniel's work integrates machine learning and sensor technologies like LiDAR and cameras to address challenges in autonomous driving. Key areas include SLAM algorithms, trajectory prediction, cooperative perception, and real-time systems. He explores how limited sensor data and computational resources can be optimized for dynamic traffic environments. Grants and Projects: Leader of the Autonomous Cars Lab Involved in EU-funded projects such as H2020 HIVEOPOLIS and KIS-M (AI-based mobility systems) Past projects include CRTX (recycling optimization), Open.Make (open hardware), RoboFish (biological swarm analysis), and SAFARI Awards: Best Poster Award at IAAS Workshop 2024 Best Paper Award at ICAIR-CACRE 2019 Teaching: He has taught courses such as Image Processing, Robotics, and Advanced Robotics. Recent semesters include modules on self-supervised learning, autonomous vehicle research, and continuous learning software projects. Labs and Teams: Daniel heads the Autonomous Cars Lab and collaborates with the BioRobotics Lab, focusing on interdisciplinary projects like 'Robots Communicating with Fish' and 'Open Hardware for FAIR Robotics.'

• Biodiversity
• Pollinator Ecology
• Microbiome Analysis
• +۵ مورد دیگر

Arjen de Groot is a Researcher in Animal Ecology at Wageningen University & Research. His work focuses on biodiversity, microbiome analysis, and remote sensing applications in forest ecosystems. He leads projects on biomonitoring, sustainable land use transitions, and pollinator conservation. Notably, he investigates fungal communities in beech forests and eDNA biodiversity using satellite technology. His research integrates environmental genomics with ecology to address conservation challenges. Education: No specific education details provided. Projects: 13 active projects, including biomonitoring systems and agroecosystem diversification. Research Interests: Biodiversity patterns, pollinator ecology, microbial communities, and the application of remote sensing and eDNA for ecological monitoring. His work bridges ecological theory with technological innovation, such as using satellite data to predict soil microbiota diversity. Articles Trends: Recent work emphasizes eDNA validation, forest microbiome dynamics, and spatial genetic analysis. Key themes include environmental monitoring, conservation tool development, and interdisciplinary applications of genomics. Grants & Advising: Project leader for initiatives like 'Integrated biomonitoring for land use transitions' and 'Designing biodiverse agroecosystems.' Advises on PhD projects on insect biodiversity in solar parks. Labs/Teams: Involved in the Wageningen Biodiversity Initiative and collaborates on projects like EBEO2.0 Living Labs and the Azobé timber genetics study.

Steven Waslanderمشاهده پروفایل

دانشیار

• Autonomous Vehicles
• Robotics
• Simultaneous Localization and Mapping (SLAM)
• +۱۲ مورد دیگر

Steven Waslander is an Associate Professor at the University of Toronto Institute for Aerospace Studies and an Adjunct Professor in Mechanical and Mechatronics Engineering at the University of Waterloo. He previously directed the Waterloo Autonomous Vehicles Laboratory (WAVELab). Education: Doctorate in Aeronautics and Astronautics from Stanford University (2007) Master's in Aeronautics and Astronautics from Stanford University (2002) Bachelor's in Applied Mathematics and Mechanical Engineering from Queen's University (1998) His research focuses on autonomous vehicles , including aerial and ground systems, with an emphasis on Simultaneous Localization and Mapping (SLAM) , nonlinear estimation , multi-robot systems , and autonomous driving . He also explores convolutional and recurrent neural networks for motion planning and object detection . Recent articles highlight trends in 3D detection , LiDAR-based tracking , neural radiance fields for autonomous driving, and model-agnostic pretraining for motion prediction. These works span journals like IEEE Transactions on Robotics and conferences such as ICCV and NeurIPS . Professor Waslander has advised the University of Waterloo Robotics Team, mentored students like Evan Cook, Barza, and Marc, and collaborated with industry partners including Aeryon Labs and Clearpath Robotics. He is a member of the NSERC Canadian Field Robotics Network .