جست‌وجوی استاد و پژوهشگر

Daniele Nardiمشاهده پروفایل

استاد

• Cognitive Robotics
• Robotic Soccer
• Emergency Robotics
• +۴ مورد دیگر

Daniele Nardi is a Full Professor at Sapienza University of Rome, affiliated with the Faculty of Information Engineering, Computer Science, and Statistics, and the Department of Computer, Control, and Management Engineering "A. Ruberti". He has held this position since 2000 and previously served as a researcher (1988) and associate professor (1992) at the same institution. His academic journey began with a Laurea in Electronic Engineering from Politecnico di Torino (1981) and a Specialization in Control Systems Engineering from Sapienza (1984). Research interests include: Cognitive Robotics Robotic Soccer Emergency Response Robotics Assistive Robotics for Elderly Precision Agriculture Robotics Recent article trends focus on: Synthetic data generation for agricultural monitoring LLM-driven multi-agent planning systems Signal temporal logic applications in robotics Self-supervised learning techniques Virtual reality-based HRI evaluation Embodied AI and online grounding Scientific recognition includes: IJCAI Publisher's Prize 1991 Intelligenza Artificiale award 1993 RoboCup Mid-Size II Place 1998 AAMAS Best Robotic Demo 2008 ECCAI Fellow 2009 He leads the Cognitive Robot Teams laboratory and serves as President of the RoboCup Federation since 2011. As Presidente del Consiglio d'Area in Computer Engineering since 2004, he has shaped academic governance. His teaching includes Seminars in Artificial Intelligence and Robotics at the Master in AI and Robotics program, and Complements of Programming at the undergraduate level.

• Computer Vision
• Machine Learning
• Robotics
• +۶ مورد دیگر

Dr Mehdi Hosseinzadeh is a Postdoctoral Research Fellow at the Australian Institute for Machine Learning (AIML) within the University of Adelaide . His research sits at the intersection of Computer Vision , Machine Learning , and Robotics , with a focus on self-supervised multi-modal learning for robotics and autonomous driving applications. He earned his PhD from the University of Adelaide, where he conducted pioneering work in real-time structure and object-aware semantic visual SLAM through the Australian Centre for Robotic Vision . His research integrates advanced 3D scene understanding and object detection to enhance traditional geometric SLAM frameworks. Currently, he supervises Master’s students in the Artificial Intelligence and Machine Learning program and contributes to projects advancing robotic vision technologies. His lab affiliations include the Australian Institute for Machine Learning, located in the AIML Building (Lot 14) on the University of Adelaide campus.

• Image Processing
• Pattern Recognition
• Multi-media
• +۳ مورد دیگر

Seiichiro Kamata is a Professor at Waseda University's Faculty of Science and Engineering, specifically within the Graduate School of Information, Production, and Systems. He holds a Doctor of Engineering degree from Kyushu Institute of Technology and maintains an active research laboratory focused on advanced image processing techniques. His professional affiliations include the Institute of Electrical and Electronics Engineers, Institute of Image Information and Television Engineers, Information Processing Society in Japan, and Institute of Electronics, Information and Communication Engineers. Professor Kamata's research spans image processing, pattern recognition, multi-media systems, and signal processing with particular emphasis on deep learning applications. His work bridges theoretical advancements with practical implementations across medical imaging, hyperspectral analysis, and real-time computer vision systems. Recent publications demonstrate his leadership in developing novel neural network architectures for medical diagnostics, video enhancement, and document analysis. His publication record shows consistent high-impact contributions, particularly in medical image analysis (including Alzheimer's disease classification, ADHD diagnosis, and skin lesion detection) and computer vision techniques (including real-time semantic segmentation, visual tracking, and hyperspectral image classification). The research demonstrates a clear trajectory from foundational image processing algorithms toward sophisticated deep learning frameworks. Best Paper Award at ICIPRoB2020 (2020) - Constant-Time Gaussian Filtering Best Paper Award at ICSIPA2019 (2019) - Edge-guided Hierarchically Nested Network Best Paper Award at ICIEV2018 (2018) - Deep Neural Networks with Mixture of Experts Best Paper Award at Image Media Processing Symposium (2017) Best Paper Award at ICARCV2010 (2010) - Fast Polar Harmonic Transforms Professor Kamata's research group maintains a strong publication record with 266 papers and 1,622 citations (h-index: 21) as of September 2025. His work demonstrates consistent innovation in both theoretical foundations of image processing and practical applications across medical diagnostics, robotics, and cultural heritage preservation. The laboratory continues to produce cutting-edge research with recent focus on transformer architectures, multi-modal fusion techniques, and medical AI applications.

• Supply Chain Logistics
• National Security
• Large-Scale Algorithm Design
• +۵ مورد دیگر

Dr. Chase E Rainwater is Professor and Head of the Department of Industrial Engineering at the University of Arkansas College of Engineering, serving since 2009 while co-directing the Arkansas Security Research and Education Institute. A University of Arkansas alumnus with bachelor's and doctoral degrees in Industrial Engineering from UF, he commands significant research funding and leadership recognition. His educational credentials: B.S.I.E., University of Arkansas Ph.D., University of Florida Rainwater's research integrates large-scale optimization with critical applications in supply chain security, food safety systems, and national infrastructure protection. His work bridges machine learning, cybersecurity, and homeland security through $20M+ in NSF, DoD, and USDA-funded projects, developing algorithms for drug interdiction networks, poultry supply chain safety, and aerial image analysis. Recent publications reveal accelerating interdisciplinary convergence: 2021-2025 works combine computer vision (wildfire segmentation, solar PV monitoring) with operations research (supply chain security, network interdiction). This reflects his strategic pivot toward AI-driven solutions for environmental monitoring and critical infrastructure resilience while maintaining core logistics expertise. Major honors include: University of Arkansas Teaching Academy Fellow (2022) Five-time IE Department Outstanding Teacher (2012,2014,2015,2017,2022) IISE Innovation in Education Award (2021) College of Engineering Collaborative Research Award (2018) Arkansas Academy of IE Outstanding Faculty (2017,2022) FIRST Tech Challenge Compass Award (2017) He has advised six Ph.D. graduates while securing $20M+ in grants including EPSCoR DART ($4.3M), Cybersecurity Workforce Development ($4.6M), and Walmart food safety initiatives ($3.2M+). His leadership spans IISE Board of Trustees, INFORMS committees, and Arkansas FIRST robotics mentorship since 2015. Rainwater co-directs the Arkansas Security Research Institute while mentoring FIRST robotics teams for over a decade, including coaching Team USA at the FIRST Global Challenge. His departmental leadership focuses on data science integration and cross-college security initiatives.

John O'Flynnمشاهده پروفایل

استاد

• Film Music
• Popular Music
• Intercultural Music Practices
• +۲ مورد دیگر

John O'Flynn serves as Professor of Music at Dublin City University (DCU), where he conducts research on film music (contextual and case studies), popular music, intercultural music practices, music in Ireland, and music education. His academic work bridges musicology, cultural studies, and pedagogy, with particular focus on Irish musical contexts and educational frameworks. Professor O'Flynn's research interests encompass the intersection of music and cultural identity, particularly examining how musical practices reflect and shape Irish identity in contemporary society. His work on intercultural music education explores how musical understanding can bridge cultural divides, while his research on vernacular music-making examines amateur musical practices across diverse communities. His studies of film music provide contextual analyses that connect cinematic narratives with musical expression. O'Flynn has made significant contributions to understanding music education challenges in Ireland and Northern Ireland, documenting systemic issues affecting musical provision in both policy and curricular discourse. His publication record demonstrates consistent scholarly output across multiple domains, with recent work focusing on contemporary challenges in music education and historical examinations of Irish musical identity. The trajectory of his research shows increasing attention to cross-border educational partnerships between Ireland and Northern Ireland, alongside continued exploration of how traditional and contemporary musical practices interact within Irish society. His contributions to the Bloomsbury Encyclopedia of Popular Music of the World demonstrate his expertise in regional Irish musical contexts. As an active member of the academic community, Professor O'Flynn has engaged with music teacher educators across Ireland and Northern Ireland to address challenges in initial teacher education. His research has documented how music teacher educators function as both advocates and confidence builders within their professional roles. His work emphasizes the importance of building communities of practice among music educators working in relative isolation within teacher education institutions.

• Piano Performance
• Classical Music
• Contemporary Music
• +۴ مورد دیگر

Maciej Gański is an accomplished Polish pianist and educator currently serving as an Adjunct Professor at the Piano Department of the Faculty of Instrumental at the Stanisław Moniuszko Academy of Music in Gdańsk. He has been actively teaching since 2009 and served as Dean of the Instrumental Department from 2020 to 2022. His academic journey began with distinguished studies at the same institution under Professor Andrzej Artykiewicz, followed by prestigious postgraduate studies at the Danish National Academy of Music under Professor Christina Bjørkøe. He earned his Doctor of Musical Arts from the Gdańsk Academy, with his doctoral thesis focusing on 'Transkrypcje pieśni i oper w twórczości Ferenca Liszta' (Transcriptions of Songs and Operas in the Works of Franz Liszt). Dr. Gański specializes in both classical and contemporary piano repertoire, with particular expertise in Franz Liszt's transcriptions and 20th-21st century works. His research interests encompass historical performance practice, particularly regarding period pianos, as demonstrated by his 2021 recital on the restored oldest Gdańsk piano from the 1830s/1840s. He has pioneered the performance of contemporary Polish compositions, including the Polish premiere of Miłosz Magin's IV Piano Concerto and the world premiere recording of Kamil Cieślik's Piano Concerto No. 1 'Multimirrors'. His scholarly output reveals a distinctive trajectory bridging historical performance practice with cutting-edge contemporary music. The progression from his Liszt transcriptions research through to his groundbreaking recordings of Philip Glass's complete Etudes demonstrates an evolving scholarly focus that connects 19th-century traditions with modern minimalist aesthetics. His work consistently emphasizes technical mastery while exploring the interpretative possibilities across diverse musical eras. Bradshaw & Buono International Piano Competition in New York (USA) Yamaha Music Foundation of Europe Scholarship Award Competition in Aarhus (Denmark) Multiple National Piano Competitions in Poland City of Gdańsk's Award for Young Artists in the Field of Culture Awards in two categories of the 2nd International 'Musical Eagles' Competition (2022) As an educator, Dr. Gański has mentored numerous students who have gone on to win awards at international and national competitions, with dozens of his piano class graduates now teaching at music institutions across Poland. His pedagogical approach combines rigorous technical training with deep musical understanding, developed through collaborations with renowned musicians including Philippe Entremont, Eugen Indjic, Andrzej Jasiński, and Lee Kum-Sing. His international masterclass activities, particularly in China, demonstrate his commitment to global musical exchange and the advancement of piano education worldwide. Dr. Gański maintains active performance collaborations with major orchestras including the Polish Baltic Philharmonic Orchestra, Odense Symphony Orchestra, and La Camerata Sa Nostra. His recording projects with DUX and other labels represent significant scholarly contributions to the piano repertoire, particularly his documentation of historically significant instruments and contemporary Polish compositions.

Luiza Naderمشاهده پروفایل

دانشیار

• Modern Art
• Contemporary Art
• Post-humanities
• +۷ مورد دیگر

Dr. hab. Luiza Nader is an accomplished art historian and academic at the Faculty of Artistic Research and Curatorial Studies (WBASK) of the Academy of Fine Arts in Warsaw, where she serves as head of the Department of Contemporary Polish Art and member of the WBASK Program Council. Her academic leadership extends to roles as senator, member of the Disciplinary Council, and member of the Doctoral School Program Council at the institution. Specializing in modern and contemporary art, Dr. Nader's research is deeply informed by post-humanities frameworks and explores theories of affect and emotion, memory, archival practices, and trauma. Her scholarly work particularly examines the relationship between art and liminal experiences, with significant focus on artistic works created in relation to the Holocaust. She has made substantial contributions to the field through publications including the books "Afekt Strzemińskiego. Pamięci mojego mojego Żydów" (2018) and "Konceptualizm w PRL" (2009), which have reshaped understandings of the Polish artistic field after 1939. As an active curator in the contemporary art scene, Dr. Nader co-curated the significant exhibition "Hanna Orzechowska. In Relationship" at the Arton Foundation in Warsaw (September-November 2023), which represented the artist's first solo exhibition since 1970. This exhibition explored multifaceted concepts of relationships in Orzechowska's work, including connections, interdependence, and interactions with the environment. Dr. Nader is a respected member of the scholarly community, serving in the Polish Section of the International Association of Art Critics (AICA) and the Association of Art Historians. Her research has been published in prestigious journals including "Zagłada Żydów. Studia i Materiały," "Teksty Drugie," "Konteksty," and "RIHA Journal," establishing her as a significant voice in contemporary art historical discourse.

• Robotics
• Computer Vision
• Simultaneous Localization and Mapping (SLAM)
• +۶ مورد دیگر

Niko Sünderhauf is a Professor in the School of Electrical Engineering and Robotics at Queensland University of Technology (QUT), specializing in robotics, computer vision, and autonomous systems. His research spans visual place recognition, simultaneous localization and mapping (SLAM), neural radiance fields, and out-of-distribution detection for robotics applications. His research interests focus on enabling robots to understand and navigate complex environments through advanced computer vision techniques. He has made significant contributions to visual place recognition, particularly for handling viewpoint and environmental changes. His work on switchable constraints has improved robustness in SLAM systems, while his more recent research explores neural radiance fields, Gaussian splatting, and integrating large language models with robotic perception. Prof. Sünderhauf's publication record demonstrates consistent research productivity with 115 publications spanning from 2005 to 2025. His recent work shows a clear progression from traditional SLAM techniques toward more advanced neural scene representations and integration with large language models. His research has been published in top venues including IEEE ICRA, CVPR, IROS, and the International Journal of Robotics Research. Among his scientific contributions are novel approaches to visual place recognition that work across seasons and viewpoints, robust SLAM techniques that handle outliers and non-linearities, and recent innovations in neural scene representations for robotics. His work on switchable constraints has been particularly influential in the robotics community. Prof. Sünderhauf actively supervises PhD students including Dimity Miller, Krishan Rana, and Jad Abou-Chakra, who frequently appear as first authors on publications. His collaborative network includes researchers from QUT and international institutions, demonstrating strong research leadership in the robotics community.

• Film Directing
• Screenwriting
• Film Education
• +۳ مورد دیگر

Andrzej Mellin (born October 7, 1950) is a distinguished Professor at the National Film School in Łódź, Poland, where he has served as a teacher and influential figure in Polish cinema education since graduating from the institution's Directing Department in 1978. He held the position of Dean of the Directing Department during two separate periods (1990-1993 and 2002-2008), demonstrating his significant leadership role within the institution. Mellin's research and professional interests span film directing, screenwriting, cinematic narrative structure, and Polish cinema. His extensive work as a script consultant and pedagogical supervisor on hundreds of student films demonstrates his commitment to developing the next generation of filmmakers. His expertise covers dramatic structure, visual storytelling techniques, and narrative development in both short and feature-length productions. His recent filmography shows consistent activity through 2025, with a focus on script consultation for both student etudes and professional feature films. The breadth of his work demonstrates expertise across multiple film genres and production contexts, from intimate student projects to international co-productions. Bronze Cross of Merit (1983/1998) Golden Cross of Merit (2013) CILECT Teaching Award (2016) Knight's Cross of the Order of Polonia Restituta (2024) Mellin has provided pedagogical supervision and script consultation for hundreds of student films throughout his career, shaping generations of Polish filmmakers. His approach combines technical expertise in cinematic language with deep understanding of dramatic structure, making him one of Poland's most respected film educators. He has also contributed to numerous feature films as a script doctor and consultant. As a member of the Polish Film Academy, Mellin remains actively engaged in the broader Polish film community, bridging the gap between academic film education and professional film production.

Katherine Dauge-Rothمشاهده پروفایل

دانشیار

• Early Modern French Literature
• Francophone Studies
• History of the Body
• +۷ مورد دیگر

Katherine Dauge-Roth is an Associate Professor of Romance Languages and Literatures at Bowdoin College, specializing in the literature, history, and culture of the early modern Francophone world with a focus on the history of the body and material culture. She is a core faculty member in both the Romance Languages and Literatures department and the Francophone Studies program, teaching across the curriculum from language instruction to advanced seminars. Professor Dauge-Roth earned her PhD and MA in French Literature from the University of Michigan, a DEUG in Lettres Modernes from Université de Caen, and an AB in French and History from Colby College. Her educational background reflects her dual expertise in French language and historical studies. Her research examines how the body served as a privileged surface for displaying authority and identity during periods of increased global circulation in the early modern period. She has made significant contributions to understanding skin marking practices including tattooing, branding, stigmata, and other corporeal inscriptions, with particular attention to their intersections with writing and print culture. Her work spans Native American tattooing practices, criminal branding, devotional stigmata, and the representation of race in early modern France. Professor Dauge-Roth's scholarly impact is evident in her monograph Signing the Body: Marks on Skin in Early Modern France (Routledge, 2020) and the co-edited volume Stigma: Marking Skin in the Early Modern World (Penn State University Press, 2023), which brings together international scholars to examine body marking from a global perspective. Karofsky Teaching Prize (2005) National Endowment for the Humanities grant (summer 2023) Executive Director of the Society for Interdisciplinary French Seventeenth-Century Studies President of Bowdoin's Alpha of Maine chapter of Phi Beta Kappa Professor Dauge-Roth is deeply committed to inclusive pedagogy and developing students' linguistic and cultural fluency. She has co-authored several pedagogical articles on teaching the early modern period and contemporary France. Her teaching portfolio includes innovative courses such as 'Spoken Word and Written Text,' which examines oral and written sources from the Middle Ages through the abolition of enslavement in 1848, and 'Contemporary France through the Media,' where students analyze current French social and political issues. She is an active member of the Early Modern Race reading group and the Skin Studies reading group, contributing to scholarly conversations that bridge historical inquiry with contemporary concerns about race, embodiment, and cultural representation.

• Auditory Working Memory
• Neural Mechanisms of Imagination
• Neuroscience of Music
• +۵ مورد دیگر

David Ricardo Quiroga Martinez is a Postdoctoral Researcher in the Department of Psychology at the University of Copenhagen's Faculty of Social Sciences. His research focuses on the neural mechanisms underlying auditory working memory and musical imagination using intracranial EEG and MEG techniques. He investigates how the brain represents and manipulates sounds during perception and imagination, with applications for understanding psychiatric disorders and brain-computer interfaces. His research interests span Auditory Working Memory , Neural Mechanisms of Imagination , Neuroscience of Music , and Reward Coding . He employs invasive and non-invasive neuroimaging to study how musical sequences are processed in the brain, examining temporal hierarchies in predictive processing from pure tones to complex songs. His work bridges cognitive neuroscience, computational modeling, and clinical applications. Key publications reveal trends in neural representation of musical thoughts (2024), asymmetric reward prediction coding (2023), and temporal hierarchies in melody processing (2023). His research consistently explores how musical structure, predictability, and expertise shape neural responses, with implications for understanding disorders involving auditory imagery abnormalities. Reintegration Fellowship from the Carlsberg Foundation: The representation of musical thoughts in neurons of the human brain International Postdoc from DFF: The neural basis of musical imagination His collaborative network spans international institutions, with significant work on congenital amusia, atonal music processing, and neural gain modulation. Current projects involve decoding imagined musical sounds and investigating reward prediction errors in cortical networks, supported by major Danish research foundations.

Torben Petersمشاهده پروفایل

مدرس

• 3D Computer Vision
• Deep Learning
• Generative Models
• +۲ مورد دیگر

Torben Peters is a Lecturer in the Department of Civil, Environmental and Geomatic Engineering at ETH Zürich. His research focuses on 3D computer vision, deep learning, and generative models applied to geospatial analysis and photogrammetry. Research Focus: Peters develops computational tools for processing LiDAR point clouds, aerial imagery, and satellite data. His work enables automated environmental monitoring (e.g., forest inventories and avalanche mapping) and urban modeling through advanced segmentation and 3D reconstruction techniques. Generative models like TetraDiffusion expand capabilities in geometric deep learning. Publication Trends: Recent articles emphasize scalable geospatial AI, including war damage assessment in Ukraine, global biomass datasets, and self-supervised shape completion. Methodological innovations center on reducing annotation dependencies and improving geometric accuracy. Teaching: Leads courses on image-based mapping and geodetic data processing at ETH Zürich.

Tianyu Jiangمشاهده پروفایل

استادیار

• Natural Language Processing
• Large Language Models
• Multimodality
• +۴ مورد دیگر

Tianyu Jiang is an Assistant Professor in the Computer Science department at the University of Cincinnati, where he directs the CincyNLP Lab. His research focuses on natural language processing, large language models, multimodality, and commonsense reasoning. Education includes a Ph.D. in Computer Science from the University of Utah (2023) and a B.S. in Mathematics from Nanjing University (2016). Research explores NLP techniques for emotion recognition, metonymy resolution, embodied cognition, and commonsense knowledge acquisition. His work integrates machine learning with linguistic and cognitive frameworks to advance multimodal AI systems. Awards: URC Faculty Scholars Award (2025). Advising includes 3 PhD students, 6 MS students, and 3 undergraduates in the CincyNLP Lab. Funded projects involve efficient LLM deployment and multimodal AI design with Siemens Corporation.

• Computer Vision
• Human Activity Forecasting
• First-Person Vision
• +۹ مورد دیگر

Kris M. Kitani is an Associate Research Professor at the Robotics Institute of Carnegie Mellon University and a Research Scientist at Meta's Artificial Intelligence division. He co-directs the Extended Reality Technology Center (XRTC) at CMU and holds courtesy appointments in the Electrical and Computer Engineering Department at CMU and as a Guest Professor at the University of Tokyo's Institute of Industrial Science. Education : BS in Electrical Engineering (University of Southern California), MS and PhD in Computer Science (University of Tokyo) Labs : Cognitive Assistance Laboratory His research focuses on computer vision , human activity forecasting , and inverse reinforcement learning with applications in human-centered robotics and assistive technologies . Recent work explores 3D scene understanding , multi-modal sensing , and generative models for physical simulation . Publications analyze pedestrian interaction modeling , human pose estimation , and zero-shot learning for robotic applications. Scientific Awards : Marr Prize Honorable Mention, ICCV 2017 Best Paper Honorable Mentions at CHI 2017/2020 Best Papers at W4A 2017/2019 Best Application Paper, ACCV 2014 Kitani has advised 8 current PhD students and 18 past PhD/MSc students. He has taught graduate-level courses in Computer Vision and Statistical Techniques in Robotics since 2013. The lab develops autonomous systems for real-world perception and interactive decision-making.

• Computer Vision
• Machine Learning
• Artificial Intelligence
• +۵ مورد دیگر

Dr. Chenyang Zhao is an Assistant Professor in the Department of Computer Science and Engineering at Shanghai Jiao Tong University's School of Electronic Information and Electrical Engineering. His research spans multiple domains at the intersection of computer vision, machine learning, and engineering applications. Dr. Zhao's primary research interests include: Computer Vision and Deep Learning Robotics and Autonomous Systems Medical Imaging and Healthcare Applications Hardware Acceleration for AI Precision Measurement and Instrumentation His recent work demonstrates a strong focus on practical applications of AI across diverse domains, from medical imaging to infrastructure inspection. Dr. Zhao has developed innovative approaches in areas such as sewer inspection systems using evidential deep learning, RGB-D semantic SLAM for robotics, and lightweight computing-in-memory architectures for edge AI applications. His research shows a consistent pattern of addressing real-world engineering challenges with cutting-edge machine learning techniques, particularly emphasizing trustworthiness, uncertainty quantification, and practical implementation constraints. Dr. Zhao's laboratory focuses on developing trustworthy AI systems with applications in: Infrastructure monitoring and maintenance Medical diagnostics and imaging Autonomous robotic systems Energy-efficient AI hardware