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Philip AuslanderView profile

Professor

• Performance Studies
• Popular Musicology
• Gender Studies
• +4 more

Dr. Philip Auslander is a Professor in the School of Literature, Media, and Communication at Georgia Institute of Technology since 1999. He holds a PhD in Theatre from Cornell University (1983) and specializes in Performance Studies, Popular Musicology, and their intersections with media and technology. His research focuses on gender identity performance, media-performance relationships, and performance documentation. He has authored ten books, including the seminal Liveness: Performance in a Mediatized Culture (2023, 3rd ed.), In Concert: Performing Musical Persona (2021), and Women Rock!: Portraits in Popular Music (2023). He received the Callaway Prize for Liveness (1999 edition). Dr. Auslander teaches courses on performance studies, film acting, and music culture. He produced and acted in Dr. Blues (2019), a short film exploring blues music and collaboration. His art criticism contributions include ArtForum International and museum catalog essays across Europe and the U.S. He edits The Art Section , a journal of art and cultural commentary. His work bridges academic and creative realms, addressing topics like robotic performance, mediatized culture, and gender in music. Recent projects explore digital liveness and the intersection of human/machine interaction in art.

Amir GhalamzanView profile

Associate Professor

• Robot Learning
• Robot Grasping and Manipulation
• Teleoperation
• +3 more

Amir Ghalamzan is an Associate Professor at the University of Surrey's School of Computer Science and Electronic Engineering, leading the Intelligent Manipulation Lab. His research focuses on robot learning, robotic grasping, teleoperation, and agri-food robotics. Previously, he held roles at the University of Lincoln and University of Birmingham. Education: PhD in Robot Learning (Politecnico di Milano, 2015), M.Sc. in Mechanical Engineering (Iran University of Science and Technology, 2009). Research Interests: He addresses real-world challenges like labor shortages in agriculture through robots for extreme conditions, such as strawberry picking. His work integrates advanced perception, AI, and control systems. Notable projects include developing autonomous strawberry-picking robots and haptic-guided teleoperation systems. Key Projects: Led the £310K CERES Agtech project (2020-2021) for autonomous strawberry robots, and contributed to the £1.5M Agri Open-Core project (2023-2027) for open-source harvesting software. Collaborated with institutions like Imperial College London and companies like Saga Robotics. Labs/Teams: Directs the Intelligent Manipulation Lab, focusing on tactile sensors (e.g., AST Skin) and soft robotics innovations.

Lars WitellView profile

Professor

• Service Innovation
• Healthcare Management
• Customer Experience
• +3 more

Lars Witell is a Professor in Business Administration at Linköping University, affiliated with the Department of Management and Engineering (IEI). His research focuses on service innovation, healthcare management, customer experience, and circular economy strategies. He leads projects like Data-Driven Service Transformation and STIGMA, addressing waste prevention and sustainable product use. Witell has been recognized as a top 2% most cited researcher globally by Stanford University. He co-edited the Handbook of Service Experience and contributed to influential works on frontline employee behavior, healthcare innovation, and dishonesty in service encounters. His grants include a 9.5M SEK award from the Marianne and Marcus Wallenberg Foundation for digital service innovation research. Witell's work bridges academia and practice, emphasizing the importance of customer-centric strategies and ethical considerations in service design. He actively contributes to journals as an associate editor and mentors early-career researchers through his teaching and advising roles.

Lambert SchomakerView profile

Professor

• Artificial Intelligence
• Pattern Recognition
• Machine Learning
• +6 more

Prof. dr. Lambert Schomaker is a Full Professor of Artificial Intelligence at the University of Groningen, leading the Artificial Intelligence and Cognitive Engineering (ALICE) institute within the Faculty of Science and Engineering. His work spans perceptual intelligence, machine learning, and neuromorphic computing, with significant contributions to handwriting recognition, robotics, and historical document analysis. Affiliations: Bernoulli Institute, CogniGron (Cognitive Systems & Materials), and Data Science & Systems Complexity (DSSC) centers. Education: M.Sc. (1983) and Ph.D. (1991) in Psychophysiology/Psychology from Nijmegen University. Research Interests: AI, pattern recognition, neural networks, autonomous systems, and applications in cultural heritage (e.g., the MONK system for handwritten archive indexing). He has pioneered handwriting recognition methods used in modern devices like tablets and led the 30MEuro Target project for large-scale data mining. Grants & Projects: Includes NWO-funded initiatives (e.g., Catch, TriGraph) and EU projects (MANTIS, MANIC). Current focus areas include neuromorphic computing with electronic materials and AI-driven analysis of the Dead Sea Scrolls. Awards: IBM Faculty Awards (2011, 2012), IAPR Best Paper Award (2012), Ching Yee Suen Special Award (2012). Advising: Supervised over 20 PhD students in AI, robotics, and document analysis. Active in industry collaborations (e.g., HP, Microsoft). Labs/Teams: Director of ALICE, contributor to CogniGron, and leader of the MONK system team. Current research includes neuromorphic hardware development and AI applications in maintenance systems.

Roberto BresinView profile

Professor

• Expressive Music Performance
• Emotion in Sound and Music
• Sound in Human-Robot Interaction
• +3 more

Roberto Bresin is a Professor of Media Technology at KTH Royal Institute of Technology's Division of Media Technology and Interaction Design (MID), part of the School of Electrical Engineering and Computer Science (EECS). He leads the Sound and Music Computing group and serves as Director of Studies for the Media Technology program and Director of NAVET, a center for art, technology, and design research. His work bridges music, robotics, and human interaction. Research focuses include expressive music performance, emotion in sound, robot sound design, and sonification. He holds a PhD in Music Acoustics from KTH (2000) and has extensive experience in sound engineering and interactive systems. Key projects involve designing auditory feedback for robots and exploring light's psychological impacts. His publications span robotics, sonification, and human-centered technology. Recent articles address robot sound aesthetics, daylight effects on behavior, and sonification of computer processes. Bresin collaborates internationally, contributing to EU initiatives like SAME and Nordic SMC networks. His work emphasizes cross-disciplinary innovation, with applications in education, healthcare, and environmental science.

Danica Kragic JensfeltView profile

Professor

• Robotics
• Computer Vision
• Artificial Intelligence
• +3 more

Danica Kragic Jensfelt is a Professor and Head of Division at the Division of Robotics, Perception and Learning, KTH Royal Institute of Technology. She serves as Co-PI of the research project Robotic Matter under the Digital Futures Faculty. Her work focuses on advancing robotic technologies and their societal applications. She is actively involved in the Robotic Matter project, aiming to develop innovative robotic solutions for global challenges. As part of Digital Futures—a collaborative center with Stockholm University and RISE Research Institutes of Sweden—she contributes to interdisciplinary digital technology research. Research interests include robotics, perception systems, and AI-driven solutions for human-robot interaction. No specific awards or grants are listed in the provided text. Her affiliation with Digital Futures highlights her role in fostering industrial relevance and training future leaders in technology.

Richard SaveryView profile

Research Fellow

• Artificial Intelligence
• Robotics
• Human-Robot Interaction
• +3 more

Richard Savery is an Honorary Research Fellow at Macquarie University's Faculty of Arts, affiliated with the Performance and Expertise Research Centre and the Centre for Applied Artificial Intelligence. His work bridges artificial intelligence, robotics, and music, focusing on creative interactions and trust-building through robotic musicianship. He holds a PhD in Music Technology from Georgia Institute of Technology (2021) and a Master's from UC Irvine. Key roles include developing the NSF-funded Keirzo rapping/drumming robot and publishing the edited book Sound and Robotics (2023). Research interests include emotional musical prosody, human-robot collaboration, and robotic performance. Notable projects include Shimon the singing robot and IVF sonification. Awards include a GANG Award (2015) for game audio. Active in interdisciplinary collaborations, he has composed music for films, ads, and video games, including Gunman Taco Truck and Gathering Sky . His work spans academic grants ($800k NSF-NRI grant), industry partnerships, and public installations like the Un[contained] Arts Festival's beehive exhibit. Over 50 publications highlight his contributions to robotics, music tech, and AI ethics.

Michael BurkeView profile

Senior Lecturer

• Robotics
• Computer Vision
• Machine Learning
• +3 more

Dr. Michael Burke is a Senior Lecturer and Deputy Graduate School Coordinator at the Department of Electrical and Computer Systems Engineering, Monash University. He specializes in robotics, focusing on probabilistic machine learning and computer vision for autonomous systems. His roles include research supervision, curriculum development, and fostering graduate culture. Education: PhD in Statistical Signal Processing, University of Cambridge (2012–2016) MSc in Electronic Engineering, Stellenbosch University (2009–2011) BEng in Electronic Engineering, University of Pretoria (2005–2008) Research Interests: Robot learning and control Probabilistic machine learning for robotics Interpretable robotics systems and hybrid control architectures Robot perception and visuomotor control His work bridges robotics with machine learning to develop safe, adaptive autonomous systems for applications like surgical robotics and field robotics. Awards and Recognition: Best Paper Award at AMDO 2014 Runner-Up for Best Paper at CoRL 2019 Advising & Grants: Supervising over 20 PhD and Master’s students in robotics and related fields Principal Investigator for ARC-funded projects on robotic pharmaceutical formulation and human-robot interaction (2024–2027) Labs and Teams: Past leadership of the Mobile Intelligent Autonomous Systems group at CSIR, South Africa (2009–2018) Current collaborations with researchers at the University of Edinburgh and University of Melbourne

Pamela Carreno-MedranoView profile

Lecturer

• Human-Robot Interaction
• Robot Learning
• Socially Assistive Robotics
• +4 more

Dr. Pamela Carreno-Medrano is a Lecturer and Early Career Research Representative in the Department of Electrical and Computer Systems Engineering at Monash University. Her research focuses on Human-Robot Interaction (HRI), robot learning, and socially assistive robotics. She holds a PhD in Information & Communication Sciences (Université de Bretagne-Sud), Master's in Computer Science (École Nationale d’Ingénieurs de Brest), and a Bachelor's in Computer Systems Engineering (Universidad EAFIT). Her work emphasizes human-centered design for intelligent systems, including adaptive navigation algorithms, human-robot collaboration models, and affective computing applications. She leads projects on long-term human-robot interaction and has contributed to interdisciplinary studies on robot ethics and public space integration. Dr. Carreno-Medrano also serves as an Adjunct Lecturer at Universidad EAFIT and collaborates internationally on sustainable aging technologies through the ARC Training Centre for Optimal Ageing. Current research themes include aligning task representations between humans and robots, modeling non-goal-driven human behaviors, and socially aware navigation strategies. She actively supervises postgraduate students in HRI, offering projects on interactive robot learning and embodied AI systems.

Elizabeth CondliffeView profile

Assistant Professor

• Neurorehabilitation
• Exercise
• Movement Impairment
• +4 more

Dr. Elizabeth Condliffe is an Assistant Professor at the University of Calgary's Cumming School of Medicine, Department of Clinical Neurosciences, specializing in Physical Medicine and Rehabilitation. She holds adjunct roles in the Faculty of Kinesiology and is a Full Member of the Hotchkiss Brain Institute. Her clinical and research work focuses on neurorehabilitation strategies for children and adults with cerebral palsy and neurodisabilities, emphasizing robotic technologies, neurophysiological tools, and exercise interventions to enhance motor function and quality of life. Education: PhD in Biomedical Engineering, University of Alberta (2021) MD, University of Toronto (2008) MS in Biomedical Engineering, Boston University (2004) BSE in Mechanical & Aerospace Engineering, Princeton University (2002) Research Interests: Dr. Condliffe leads the Pediatric Onset Neuromotor Impairment (PONI) Lab, exploring robotic walking aids, neurostimulation, and clinical tools to address movement impairments. Key areas include: Robotic exoskeletons for bone/muscle health Neuroplasticity mechanisms in cerebral palsy Brain stimulation for motor recovery Adapted physical activity impacts on family dynamics Labs & Networks: She co-leads the Movement Impairment team in the RESTORE Network, participates in the NonInvasive Neurostimulation Network (N3), and is part of the Vi Riddell Pediatric Pain & Rehabilitation Centre.

• Machine Learning
• Computer Vision
• Robotics
• +4 more

Stéphane Lathuilière is currently a postdoctoral researcher at the University of Trento, having completed his PhD at INRIA under the supervision of Dr. Radu Horaud within the PERCEPTION team. His educational background includes: Engineering degree in Applied Mathematics and Computer Science from Ensimag, Institut polytechnique de Grenoble, France (2014) Master thesis conducted at the International Research Institute MICA, Hanoi, Vietnam His research spans machine learning for activity recognition and tracking, deep regression models, and reinforcement learning for audio-visual fusion in robotics, with primary applications in human-robot interaction and computer vision systems. Analysis of his 2014-2017 publications reveals consistent focus on multimodal machine learning approaches across computer vision domains, including head-pose estimation, group activity recognition, UAV imagery analysis, and mental health assessment through depression severity estimation. No scientific awards were documented in the source material. Information regarding student supervision or research grants is not provided in the available text. During his doctoral studies, he contributed to the PERCEPTION team at INRIA, specializing in perception systems for robotics and computer vision.

• Silicon-Based CMOS Sensors
• Flexible Tactile Sensors
• Biomedical Engineering
• +3 more

Vartika Verma is a doctoral candidate at the Technical University of Munich (TUM), affiliated with the Chair of Circuit Design under Prof. Ralf Brederlow since November 2020. She holds a bachelor's degree in Electronics and Communication Engineering from NIT Hamirpur and a master's in Electrical Engineering from IIT Mandi. Her master's thesis was completed in collaboration with STMicroelectronics, focusing on power management circuits. She previously worked at NXP Semiconductors in physical design and static timing analysis. Her research focuses on silicon-based CMOS stress sensors and flexible tactile sensors for biomedical and robotic applications. Key areas include piezoresistive sensor arrays, flexible electronics for prosthetic skin integration, and MEMS-based sensor design. Her work bridges biomedical engineering and robotics, addressing tactile perception challenges in smart prosthetics. Recent publications include studies on piezoresistive stress sensors in IEEE Transactions on Biomedical Circuits and Systems (2024) and IEEE SENSORS (2024), as well as contributions to the 2023 IEEE Biomedical Circuits and Systems Conference. No scientific awards are explicitly mentioned in the provided text. She has no listed advisees or grants in this dataset. Vartika is part of the Circuit Design team at TUM, contributing to projects involving tactile sensor development and MEMS technology.

• Computer Vision
• Machine Learning
• Video Analysis
• +5 more

Prof. Laura Leal-Taixé is an Associate Professor at the Technical University of Munich (TUM) leading the Dynamic Vision and Learning group. She holds the Rudolf Mößbauer Tenure Track Chair, promoted from a 2017 Tenure Track Assistant Professorship. Her work focuses on advancing computer vision and machine learning, particularly in video analysis, multi-object tracking, and autonomous systems. She received a Sofja Kovalevskaja Award (2017) for her project socialMaps, which integrates dynamic social data into traffic modeling. Education: B.Sc./M.Sc. in Telecommunications Engineering, Technical University of Catalonia (UPC), Barcelona Ph.D. in Information Processing, Leibniz University Hannover (2014) Postdoc at ETH Zurich (2014–2016), and Senior Researcher at TUM’s Computer Vision Group (2016–2019) Research Interests: Multi-object tracking and segmentation in videos Motion analysis and semantic segmentation for autonomous driving Deep learning for video understanding Social dynamics modeling in urban environments Awards & Grants: €1.65M Sofja Kovalevskaja Award (Humboldt Foundation, 2017) DAAD Australia-German Joint Research Scheme (2017) Multiple travel grants from CVPR and Women in Computer Vision Labs & Collaborations: Dynamic Vision and Learning Group at TUM Collaborations with ETH Zurich, Northeastern University, and NVIDIA

• Occupational Safety and Health
• Construction Management
• Project Management
• +7 more

Professor Patrick Manu is a faculty member at the University of the West of England (UWE Bristol), holding the position of Professor of Innovative Construction and Project Management within the School of Architecture and Environment. He specializes in construction management, project management, quantity surveying, and occupational safety and health. His research focuses on occupational health and safety, sustainable construction, digital construction technologies, and BIM integration. He has secured funding from EPSRC, DFID, and other institutions for projects like developing web-based safety tools and exploring immersive technologies for safety training. Patrick holds a PhD in Construction Project Management from the University of Wolverhampton, a BSc (First Class Honours) from Kwame Nkrumah University of Science and Technology, and a PGCert in Academic Practice from City University London. He is a Chartered Member of the Chartered Institute of Building and a Fellow of the UK Higher Education Academy. His research interests include BIM applications, Industry 4.0 technologies, circular economy in construction, and AI-driven safety solutions. He has published extensively on topics such as safety risk analysis, UAV applications, and pandemic-era construction safety. He serves as a reviewer for EPSRC, Newton Fund, and leading journals like Safety Science, and chairs committees for organizations like the International Construction Measurement Standards (ICMS). Patrick has held academic positions at institutions including The University of Manchester and KNUST, and his industry experience includes roles in quantity surveying and developing digital tools for construction cost estimation. He leads collaborative projects involving academia and industry partners, emphasizing practical solutions for construction challenges.

• Computer Security
• Privacy Engineering
• Data Science
• +4 more

UnivProf.Dr. Delphine Reinhardt is a Professor of Computer Science at the University of Göttingen, serving as Head of the Computer Security and Privacy group and Head of the Dean's Office of the Faculty of Mathematics and Computer Science. She is a core member of the Institute of Computer Science and the Campus Institute Data Science (CIDAS). Her work focuses on privacy engineering in emerging technologies like smart devices, extended reality (XR), and human-robot interaction. Research interests include privacy-preserving computation, IoT security, and ethical AI applications. Her recent work explores privacy challenges in smart speakers, telepresence robots for hospitalized children, and cross-platform XR privacy solutions. She leads multiple courses on security and privacy, including advanced seminars and lab internships. Her publications analyze user privacy perceptions across cultures and technologies, with a focus on quantifying privacy risks in smart environments. She actively contributes to standards through leadership roles, balancing academic research with institutional governance responsibilities. Lab affiliations include the Computer Security and Privacy research group, which develops tools like PrivXR and SensitivAlert. She collaborates on EU-funded projects addressing privacy in smart workplaces and autonomous systems.