جست‌وجوی استاد و پژوهشگر

Milos Popovicمشاهده پروفایل

استاد

• Neurorehabilitation
• Neuroprosthetics
• Functional Electrical Stimulation (FES)
• +۱۲ مورد دیگر

Milos Popovic is a Professor and Director at the Institute of Biomedical Engineering, University of Toronto, and serves as Senior Scientist and Director of Research at the Toronto Rehabilitation Institute (KITE), University Health Network. He holds the Toronto Rehab Chair in Spinal Cord Injury Research and Neural Engineering and co-leads the Centre for Research in Advanced Neural Implant Applications (CRANIA). His leadership spans academic, clinical, and translational research domains in neuroengineering and rehabilitation. His research focuses on neurorehabilitation, neuroprosthetics, functional electrical stimulation (FES), brain-machine interfaces, and assistive technologies . He develops physiological control systems and therapeutic robotics to restore motor function after spinal cord injury and stroke. His work integrates biomechanics, signal processing, and human-machine interfaces to innovate rehabilitative solutions. Dr. Popovic's recent publications emphasize electrical neuromodulation, FES therapy for motor recovery, deep brain stimulation for cognitive deficits, and wearable/implantable technologies . The articles reflect a strong trend toward closed-loop systems, translational research, and interdisciplinary innovation in neuroengineering and rehabilitation. Swiss National Science Foundation Technology Transfer Award - 1st place (1997) Engineering Medal for Research and Development, Professional Engineers of Ontario (2008) Elected to the College of Fellows, American Institute of Medical and Biological Engineering (2011) 1st Prize and Best Intellectual Property Award, TiEQuest Business Venture Competition (2012) Morris (Mickey) Milner Award for Assistive Technologies (2013) University of Toronto Inventor of the Year Award (2013) University Health Network’s Inventor of the Year Award (2015) Dr. Popovic has secured significant research funding and leads the Neural Engineering and Therapeutics team at KITE. He co-founded MyndTec Inc. and the Canadian National Spinal Cord Injury Conference, demonstrating strong mentorship, innovation, and national impact. He advises graduate students and postdoctoral fellows in biomedical engineering and rehabilitation sciences. He leads the Rehabilitation Engineering Laboratory and the Neural Engineering and Therapeutics Team at KITE, fostering collaboration across engineering, neuroscience, and clinical rehabilitation. His lab develops advanced neurotechnologies with a focus on clinical translation and commercialization.

Tianyi Zhangمشاهده پروفایل

استادیار

• Artificial Intelligence
• Machine Learning
• Natural Language Processing
• +۴ مورد دیگر

Tianyi Zhang is a Tenure-Track Assistant Professor in the Department of Computer Science at Purdue University, part of the College of Science. He leads the Human-Centered Software Systems Lab, focusing on AI-driven systems that synergize human expertise with machine intelligence to enhance programming productivity and software reliability. Prior to Purdue, he was a Postdoctoral Fellow at Harvard University under Dr. Elena Glassman and earned his Ph.D. from UCLA (2019) and B.Sc. from Huazhong University of Science and Technology (2013). Education: Ph.D. in Computer Science, University of California, Los Angeles (2019) Bachelor's in Computer Science, Huazhong University of Science and Technology (2013) Research Interests: His work spans Software Engineering, Human-Computer Interaction, and AI. Key areas include program synthesis, interactive debugging tools, autonomous driving system testing, and mitigating biases in AI models. He develops systems like Interpretable Program Synthesis and SQLucid to bridge human and machine intelligence. Recent Trends in Publications: Recent work emphasizes human-in-the-loop AI, including mixed-initiative systems for data wrangling (Dango), interactive program repair, and bias analysis in text representations (STILE). He also explores challenges in autonomous driving testing and LLM-based code generation errors. Awards & Grants: NSF Career Award (2024) Amazon Research Award Showalter Trust Research Award for pre-diabetes research $1.5M NSF grant for software supply chain security Best Paper Honorable Mentions at CHI and VAHC Advising & Teams: Supervises 12+ PhD/Master's students and 30+ research interns. Notable advisees include Bonan Kou (API misuse studies) and Yuan Tian (text-to-SQL systems). Collaborates with Harvard Medical School on healthcare data analysis. Labs & Initiatives: Directs Purdue's Human-Centered Software Systems Lab. Co-founded the Societal Impact Fellows program. Active in open-source projects like Examplore for API usage visualization and JShrink for Java debloating.

Yizhi Wangمشاهده پروفایل

استادیار

• Financialization
• Econometrics
• Climate Finance
• +۵ مورد دیگر

Dr Yizhi Wang, FHEA, is a Lecturer (Assistant Professor) in Finance at Cardiff Business School, Cardiff University, UK. He serves as Co-Director of the Cardiff Fintech Research Group and is the Editor-in-Chief of Elsevier’s Finance Research Letters . He is also Associate Editor for International Review of Financial Analysis and Research in International Business and Finance , and Guest Editor for International Review of Economics & Finance and Journal of Chinese Economic and Business Studies . Research Interests: Financialization and Econometrics Climate finance and carbon markets Cryptocurrency and FinTech indices Energy economics and risk management Green finance and ESG investing Behavioral and institutional finance Dr Wang has published extensively in world-leading journals such as Risk Analysis , European Journal of Operational Research , Journal of Economic Behavior & Organization , Energy Economics , and Journal of International Money and Finance . His work spans theoretical modeling, empirical econometrics, and policy-oriented studies. Scientific Awards: Shanghai Institute of International Finance and Economics Best Paper Award Teaching & Supervision: As a Fellow of the UK Higher Education Academy (FHEA), Dr Wang is module leader for undergraduate BS2514: Financial Markets and Institutions and postgraduate BST158: Big Data Analytics for Finance , earning consistently high teaching evaluations (4.8–4.9/5). He is available to supervise doctoral students in Financialization and has mentored graduates now employed at the University of Oxford, Morgan Stanley, and JPMorgan Chase. Labs & Research Groups: Co-Director, Cardiff Fintech Research Group Member, Cardiff Sustainable Finance Research Group Member, Environmental, Ecological, Extinction Accounting, Governance and Economics Research Group Member, Cardiff Business School Research Committee Dr Wang also curates multiple quarterly-updated indices (UCRY, ICEA, CBDCAI, NFTsAI, ACCC, FinTech Index) publicly available at https://sites.google.com/view/cryptocurrency-indices/home .

• Robotics
• Rehabilitation Engineering
• Control Systems
• +۵ مورد دیگر

Mohamed Bouri is a Senior Lecturer and Researcher at École Polytechnique Fédérale de Lausanne (EPFL), where he is affiliated with the School of Engineering (STI) and specifically the Microengineering Department (SCI-STI-MB). He is part of the ReHAssist research group (http://rehassist.epfl.ch), which focuses on rehabilitation robotics and human-robot interaction. His office is located in the MED Building (MED 3 1016) at Station 9, 1015 Lausanne. Dr. Bouri's research spans several key areas in robotics and rehabilitation engineering. His primary focus is on the development and control of exoskeleton systems for mobility assistance and rehabilitation. He has made significant contributions to hip exoskeleton technology, adaptive control strategies, and human-robot interaction paradigms. His work bridges engineering principles with clinical applications, particularly for individuals with mobility impairments and neurological conditions. Additional research interests include sensory substitution techniques, balance control systems, and astronomical instrumentation involving robotic fiber positioners for multi-object spectrographs. Analysis of Dr. Bouri's recent publications reveals a strong emphasis on practical applications of robotics in rehabilitation settings. His work increasingly focuses on user-centered design, adaptive control systems that respond to individual user needs, and ecological validity in testing environments. There's a clear trend toward developing systems that can function effectively in real-world scenarios rather than controlled laboratory settings. His research also shows growing integration of physiological feedback mechanisms and multimodal sensing to enhance human-robot cooperation, with applications spanning from Parkinson's disease rehabilitation to astronomical instrumentation. Dr. Bouri has supervised numerous doctoral students whose theses reflect the breadth of his research interests, including work on lower-limb exoskeletons, robotic control systems, and rehabilitation technologies. His collaborative approach is evident in the extensive list of co-authored publications across multiple institutions and disciplines, demonstrating his ability to bridge engineering with clinical and astronomical applications. Based at EPFL's Microengineering Department, Dr. Bouri leads research activities within the ReHAssist laboratory, which specializes in rehabilitation assistance technologies. The lab focuses on developing innovative robotic solutions for mobility assistance, with particular expertise in exoskeleton design, control algorithms, and human-robot interaction paradigms. His work on projects like TWIICE One has demonstrated real-world impact in assistive technology development.

Jiao Lichengمشاهده پروفایل

استاد

• Artificial Intelligence
• Machine Learning
• Image Understanding
• +۶ مورد دیگر

Jiao Licheng is a Distinguished Professor and Doctoral Supervisor at Xidian University, leading the School of Artificial Intelligence and the Department of Computer Science and Technology. He holds prominent roles such as Director of the Key Laboratory of Intelligent Perception and Image Understanding (Ministry of Education) and the International Joint Research Center for Intelligent Perception and Computing. His research focuses on Artificial Intelligence, Deep Learning, Evolutionary Computation, and Remote Sensing, with significant contributions to image understanding and brain-inspired computing. Education: B.E. (1982) from Shanghai Jiao Tong University, M.E. (1984) and Ph.D. (1990) from Xi'an Jiaotong University. Postdoctoral research at Xidian University (1990–1992). Research Interests include AI, Machine Learning, Image Processing, and Big Data Analysis. His work bridges theoretical advancements and practical applications, such as medical imaging, SAR image analysis, and autonomous systems. Recent articles emphasize innovations in remote sensing, deep learning architectures, and evolutionary algorithms. Awards include IEEE Fellow, IET Fellow, and the Wu Wenjun Artificial Intelligence Outstanding Contribution Award. Labs/Teams: Key Lab of Intelligent Perception, International Joint Research Center, and leadership in national innovation bases. Active in academic societies, including editorial roles in IEEE Transactions on Cybernetics and Geoscience and Remote Sensing.

Josh Atkinsonمشاهده پروفایل

استادیار

• Synthetic Biology
• Protein Engineering
• Electrochemistry
• +۷ مورد دیگر

Josh Atkinson is an Assistant Professor in the Department of Civil and Environmental Engineering and the Omenn-Darling Bioengineering Institute at Princeton University. His research focuses on using synthetic biology and protein engineering to control electron transport in microbes for environmental applications, such as bioelectronic sensors and bioremediation. The Atkinson Lab investigates microbial energy processing, biofilm-electronic interfaces, and sustainable biotechnologies. Affiliations: Princeton University, Omenn-Darling Bioengineering Institute Research Interests: Microbial electron transport, bioelectronic systems, environmental monitoring, sustainable catalysis His work bridges disciplines like electrochemistry, bioengineering, and environmental science to engineer living materials for real-world challenges. The lab recruits students across levels, emphasizing diversity and interdisciplinary collaboration. Recent projects include real-time contaminant sensors and light-controlled biofilm patterning. Articles highlight innovations in bioelectronics and microbial systems engineering. The lab’s future directions involve scaling-up bioelectronic devices and enhancing microbial community understanding.

• Nutritional Systems Biology
• Food Science
• Bioactive Compounds
• +۳ مورد دیگر

Prof. Veronika Somoza is a leading academic in Nutritional Systems Biology, currently affiliated with the University of Vienna and Technical University of Munich (TUM). She holds a professorship in Molecular Food Science and has led key research groups such as the Institute of Physiological Chemistry and the Christian Doppler Laboratory for Bioactive Aromatics. Her career includes roles at institutions like the German Research Institute for Food Chemistry (Garching) and the University of Wisconsin-Madison. Education: Diplom (Justus Liebig University Giessen, 1991), PhD (University of Vienna, 1995), Habilitation (Kiel University, 2002) Research Focus: Bioactive food compounds, flavor chemistry, taste receptor signaling, and gastrointestinal physiology Her work bridges food science and human health, particularly in understanding how food ingredients influence digestion, inflammation, and disease. Notable contributions include discoveries on bitter peptide effects on gastric acid secretion and flavor perception modulation. Awards: FEMA Excellence in Flavor Science (2016), ACS AGFD Fellow (2020), Hans Adolf Krebs Prize (2004) Prof. Somoza has pioneered methodologies in atomic force microscopy for foodborne virus detection and developed bitterness-masking compounds for pharmaceuticals. Her interdisciplinary approach integrates nanobiophysics with nutrition to advance functional food design and clinical applications.

Ningning Houمشاهده پروفایل

مدرس

• Low Power Wide Area Networks (LPWANs)
• Internet-of-Things
• Wireless Sensing
• +۳ مورد دیگر

Ningning Hou is a Lecturer in Computing (IoT/Networking) at Macquarie University's School of Computing. They are affiliated with the Future Communications Research Centre and Data Horizons Research Centre. Previously, they served as a Postdoctoral Fellow at The Hong Kong Polytechnic University (PolyU) and earned their PhD in Computer Science from PolyU in 2021, followed by a B.Eng. in Telecommunication Engineering from Beijing University of Posts and Telecommunications (2017). Research Interests: Low Power Wide Area Networks (LPWANs) Internet-of-Things (IoT) Wireless Sensing and Networking Wireless Security Recent research focuses on enhancing LoRa communication through innovations like full-duplex gateways (FDLoRa) and scalable logical channels (XGate), addressing challenges in network scalability, signal interference, and security threats. Their work spans topics such as data aggregation efficiency, antenna diversity, and covert channel mitigation. Advising: Actively seeking self-motivated PhD students and researchers for projects in LPWANs, edge computing, and wireless security. Labs/Teams: Involved with Future Communications Research Centre and Data Horizons Research Centre.

• Self-organized criticality
• Neuronal network dynamics
• Excitation/Inhibition balance
• +۵ مورد دیگر

Anna Levina is an Assistant Professor for Computational Neuroscience at the University of Tübingen , affiliated with the Department of Computer Science under the Faculty of Science. Her research focuses on the self-organization of neuronal activity, critical dynamics in neural networks, and the excitation/inhibition balance in cortical circuits. Current positions: Assistant Professor (since 2018), Group Leader (2017-2018), Equality Officer (Computer Science) Previous roles: IST Fellow (2015-2017), Associated Researcher (2011-2015), Postdoc/PI (2011-2015), Postdoc (2008-2011) Her research integrates mathematical modeling , statistical physics , and computational neuroscience to study criticality phenomena, neural avalanches, and adaptive network dynamics. Key interests include: Self-organized criticality in neural systems Excitation/Inhibition balance mechanisms Network topology and dynamics Timescale analysis in neural processing Stochastic modeling of neural activity Recent publications reveal trends in understanding critical dynamics across biological and artificial networks, with applications to memory systems, sensorimotor integration, and disease modeling. She has received recognition as an IST Fellow .

Stéphanie P. Lacourمشاهده پروفایل

استاد

• Bioelectronics
• Neuroprosthetics
• Soft Electronics
• +۹ مورد دیگر

Stéphanie P. Lacour is a Full Professor at the School of Engineering, École Polytechnique Fédérale de Lausanne (EPFL), where she holds the Foundation Bertarelli Chair in Neuroprosthetic Technology. She leads the Laboratory of Soft Bioelectronic Interfaces (LSBI) and is affiliated with multiple departments including INX-STI, STI-SMT, SV-SSV, and AVP-DLE-EDOC. Since 2025, she has served as EPFL’s Vice-President for Support to Strategic Initiatives, overseeing institutional research strategy. Her research is centered at Campus Biotech in Geneva, where she was the founding director of the Neuro-X Institute. PhD in Electrical Engineering, INSA Lyon, France (1998–2001) Postdoctoral Research, Princeton University and University of Cambridge Joined EPFL in 2011 Her research focuses on soft bioelectronic interfaces that seamlessly integrate with biological tissues. She pioneers the development of stretchable, compliant electronics for implantable and wearable applications, using techniques from MEMS and microelectronics adapted to elastomeric substrates. Her work enables long-term, minimally invasive neural interfacing for applications in neuroprosthetics, rehabilitation, and health monitoring. Key innovations include soft electrocorticography arrays, liquid metal sensors, and encapsulation methods for chronic implants. Her recent publications span high-impact journals such as Nature , Science Robotics , Advanced Materials , and Nature Nanotechnology , covering topics like neural stimulation, soft robotics, wireless implants, and hydrogel-based interfaces . The work demonstrates a strong trend toward multimodal, closed-loop, and translational neurotechnologies with real-world clinical potential. Scientific Awards: No scientific awards explicitly mentioned in the provided text. She advises a large cohort of PhD students and postdoctoral researchers, many of whom have completed their theses under her supervision. Her team has received funding for projects in neural interfacing, bioelectronics, and soft robotics. She is actively involved in teaching courses such as Soft Microsystems Processing and Devices and Neural Interfaces . Lacour leads the Laboratory of Soft Bioelectronic Interfaces (LSBI) , a multidisciplinary research team focused on the fabrication, characterization, and in vivo evaluation of soft bioelectronic systems. The lab collaborates extensively across EPFL and with clinical partners to translate technologies from bench to bedside.

Jeff Schoreyمشاهده پروفایل

استاد

• Microbiology
• Immunology
• Infectious Diseases
• +۹ مورد دیگر

Jeff Schorey is the George B. Craig Jr. Professor and a full Professor in the Department of Biological Sciences at the University of Notre Dame, where he has been a faculty member since 2004. He currently serves as Director of the Integrated Biomedical Sciences (IBMS) graduate program and previously held leadership roles including Chair of the Institutional Animal Care and Use Committee (IACUC) and Associate Director of the Eck Institute for Global Health. His research focuses on the pathobiology of mycobacterial diseases, particularly Mycobacterium tuberculosis and M. avium . His work investigates the molecular interactions between mycobacteria and host macrophages, with a special emphasis on the role of exosomes in immune modulation, diagnostics, and vaccine development. He also explores novel antibiotic development in collaboration with chemists at Notre Dame and global partners. His recent publications reveal a strong trend in extracellular vesicle biology, host-pathogen signaling, and translational applications in TB diagnostics and treatment. The articles span immunology, microbiology, and molecular biology, with recurring themes in exosome function, RNA sensing, and antimicrobial development. George B. Craig Jr. Collegiate Professor Dr. Schorey has advised graduate students and leads an active research lab focused on mycobacterial pathogenesis. His work is supported by collaborations across disciplines and institutions, particularly in drug development and clinical translation. He has contributed significantly to understanding how exosomes can serve as both biomarkers and therapeutic tools. His lab employs cellular immunology, animal models, and clinical sample analysis to study mycobacterial infections. He leads the IBMS program, shaping graduate education in biomedical sciences at Notre Dame.

W. Hong Yeoمشاهده پروفایل

استاد

• Flexible Electronics
• Human Augmentation
• Micro and Nano Device Engineering
• +۶ مورد دیگر

W. Hong Yeo is a Professor in the Woodruff School of Mechanical Engineering and Program Faculty in Bioengineering at the Georgia Institute of Technology, where he also directs the WISH Center. He holds adjunct appointments in the Wallace H. Coulter Department of Biomedical Engineering. Previously, he was an Assistant Professor at Virginia Commonwealth University (2014-2016) and a postdoctoral fellow at the University of Illinois Urbana-Champaign's Beckman Institute. Dr. Yeo's research integrates nanomechanics, soft materials, and nano-microfabrication to develop bio-interfaced systems. Key areas include: Flexible Bioelectronics : Wearable/implantable sensors for health monitoring Human-Machine Interfaces : Neural prosthetics and soft robotics Translational Nanoengineering : Nanoparticle biosensing and diagnostics His publications (2023-2025) demonstrate strong focus on wireless health technologies, including multi-modal wearable systems, implantable sensors for cardiovascular/neurological monitoring, and AI-integrated diagnostics. Trends show increasing emphasis on closed-loop therapeutic systems and scalable manufacturing. Awards & Recognition : BMES Innovation and Career Development Award Virginia Commercialization Award Blavatnik Award Nominee NSF Summer Institute Fellowship Research funding sources include MEDARVA Foundation, NIH, DARPA, and industry partners like CooperVision. He leads the Center for Human-Centric Interfaces & Engineering , developing next-generation bio-interfaced systems.

Frederick A. A. Kingdomمشاهده پروفایل

استاد

• Perception
• Cognition and Cognitive Neuroscience
• Spatial Vision
• +۸ مورد دیگر

Frederick A. A. Kingdom is a Professor in the Department of Ophthalmology at McGill University's Faculty of Medicine, focusing on Perception, Cognition and Cognitive Neuroscience . His research explores the interplay between early visual feature detection (edges, bars) and intermediate stages forming contours, textures, and surfaces through spatial vision, color vision, stereopsis, texture perception, brightness/lightness perception, and transparency studies . Email: fred.kingdom@mcgill.ca Key research domains include: Perceptual Mechanisms : Lateral inhibition, contrast normalization, spatial bandpass filters, and their role in brightness/lightness perception and illusions like simultaneous brightness contrast. Color Vision : Red-green vs blue-yellow system distribution, chromatic contrast requirements for stereopsis, color-based depth processing limitations, and color-shading effects that parse surfaces vs illumination. Texture Analysis : Detection thresholds for orientation/frequency/contrast modulated textures, co-circularity in texture perception, and texture statistical sensitivity (e.g., kurtosis importance). Shape Processing : Shape-frequency/shape-amplitude aftereffects, global vs local shape coding, and contour inflection adaptation. His work combines psychophysics , fMRI , image processing , and computational modeling to dissect visual system architecture, particularly how color and luminance signals are integrated/separated in early cortical processing.

Richard M. Sternمشاهده پروفایل

استاد

• Speech Recognition
• Audio Signal Processing
• Music Information Retrieval
• +۳ مورد دیگر

Richard M. Stern is a Professor of Electrical and Computer Engineering at Carnegie Mellon University (CMU), holding courtesy appointments in the Language Technologies Institute and Department of Computer Science, and serving as an Artist Lecturer in the School of Music since 2007. His interdisciplinary work bridges engineering and music technology through the School of Music's programs. Education: Ph.D. in Electrical Engineering from Massachusetts Institute of Technology (MIT), 1976 Professor Stern's research spans sound, speech, hearing, and music, with core emphases on robust speech processing in variable acoustic environments, music information retrieval, automated accompaniment, and foundational contributions to binaural perception theory. His work integrates psychoacoustic principles with machine learning to address challenges in speech recognition and human-robot interaction. Recent publications (2022-2025) reveal intensified focus on deep learning for speech enhancement in reverberant/noisy conditions, human-robot interaction scenarios, and music tagging—highlighting innovations in beamforming, source separation, and temporal modulation modeling. Awards and Honors: Fellow of the IEEE Fellow of the Acoustical Society of America Fellow of the International Speech Communication Association (ISCA) ISCA Distinguished Lecturer Allen Newell Award for Research Excellence (1992) Lutron Award for Teaching Excellence (2018) Professor Stern has advised numerous graduate students in speech and audio research, though specific names are unlisted in source materials. His grant portfolio includes significant National Science Foundation and industry-funded projects in speech technology, with leadership roles in initiatives like Interspeech 2006. He actively collaborates with CMU's Language Technologies Institute and Music and Technology program. He maintains strong ties to CMU's interdisciplinary ecosystem through the Language Technologies Institute and School of Music's Music and Technology program, contributing to research that merges acoustic engineering with musical applications.

Oya Celiktutanمشاهده پروفایل

دانشیار

• Multimodal Machine Learning
• Human-Robot Interaction
• Human Behavior Analysis
• +۵ مورد دیگر

Oya Celiktutan is a Reader (Associate Professor) at King’s College London in the Department of Engineering, leading the Social AI & Robotics (SAIR) Lab within the Centre for Robotics Research. She holds a BSc in Electronics Engineering from Uludag University, and an MSc and PhD in Electrical and Electronics Engineering from Bogazici University, Turkey. Her doctoral work included a visiting research period at the National Institute of Applied Sciences in Lyon, France. She has held postdoctoral positions at Queen Mary University London, the University of Cambridge, and Imperial College London before joining King’s College in 2018. Her research focuses on multimodal machine learning for autonomous agents, addressing challenges in human-robot interaction, social awareness, and navigation. Key areas include human behavior analysis, generative models, and continual learning. Her work is supported by EPSRC, The Royal Society, EU Horizon, and industry partners like Toyota and NVIDIA. Notable awards include the EPSRC New Investigator Award (2021) and a Best Paper Award at IEEE Ro-Man 2022. Dr. Celiktutan’s lab explores socially assistive robotics, extended reality systems, and ethical AI. Recent projects include the LISI initiative to enable robots to learn social interactions from human-human data and the CL-HRI project advancing continual learning in human-centric robotics. Her research has led to datasets like MHHRI and RICA, and collaborations with companies like SoftBank Robotics. She teaches modules on Sensing and Perception, and Sensors and Actuators, emphasizing practical applications in robotics and mechatronics. Current research interests span socially-aware navigation, algorithmic fairness, and multimodal data fusion for robotics in healthcare and urban environments.