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Anthony RoweView profile

Professor

• Networked Embedded Systems
• Sensor Networks
• Extended Reality (XR) Systems
• +6 more

Anthony Rowe is the Siewiorek and Walker Family Professor of Electrical and Computer Engineering at Carnegie Mellon University (CMU) and a Chief Scientist at Bosch Research. His primary affiliation is with the CyLab and the Wireless, Sensing and Embedded Systems (WiSE Lab) at CMU. He specializes in networked embedded systems, sensor networks, and extended reality (XR) technologies. His research emphasizes energy-efficient sensing, real-time localization, and XR integration with physical systems. Research Focus: His work spans XR systems (e.g., AR/VR edge networking in ARENA), mmWave radar for sensing (e.g., tire wear monitoring via Osprey), distributed edge computing (Silverline), and low-power wide-area networking (OpenChirp). Recent efforts include AI-integrated XR platforms (XaiR) and radar tomography (DART). Grants & Projects: Leads the CONIX Research Center ($27.5M NSF/DARPA grant), Bosch-funded edge computing projects, and DOE initiatives on microgrids. Notable projects include ARENA (XR edge architecture), GridBallast (smart grid control), and rural microgrid deployments in Haiti. Awards: Best Student Paper (ISMAR 2024), Best Paper (IPSN 2020), and the Steven J. Fenves Research Award (2015). Recognized for innovations in localization (MobiCom 2021), radar (ICRA 2023), and energy systems (BuildSys 2010). Teaching: Teaches courses on embedded systems (18-349/18-449), real-time systems, and mixed reality (18-453). Courses emphasize hands-on design and real-world applications. Labs & Teams: Directs the WiSE Lab, collaborating with Bosch Research and industry partners. The lab develops open-source frameworks like ARENA and OpenChirp, and contributes to standards for edge computing and sensing.

Thomas GrayView profile

Assistant Professor

• Human Strength Amplification
• Wearable Robotics
• Force and Torque Feedback
• +6 more

Thomas Gray is an Assistant Professor in the Mechanical Engineering Department at Texas A&M University, affiliated with the Mike J. Walker ’66 Department. His research focuses on Human Strength Amplification, Wearable Robotics, and Control Systems, with a particular emphasis on exoskeleton design and biomechanical interaction. He leads the HERC Lab, aiming to advance direct control paradigms for physically interactive robots. Educational Background : Ph.D., Mechanical Engineering, University of Texas at Austin (2019) B.S., Engineering: Robotics, Olin College of Engineering (2012) Research Interests : Gray’s work centers on enhancing human performance through advanced robotic systems. Key areas include: Development of wearable devices for strength amplification and fatigue mitigation Design of series-elastic actuators and force/torque feedback mechanisms System identification for robust control in dynamic environments Optimization of mechanical impedance rendering for natural human-robot interaction Awards & Recognition : IEEE ICRA Best Manipulation Paper Award (2017) IJHR Best Paper Award (2016) NASA Space Technology Research Fellowship (2015) DARPA Virtual Robotics Challenge Winner (Team IHMC, 2013) Grants & Advising : Gray has secured significant funding for his research, including grants from NASA and DARPA. He advises students in robotics and control systems, though specific student names are not listed. Labs & Teams : He directs the Human-Empowering Robotics and Control (HERC) Lab, which explores next-generation robotics for human augmentation and direct control methodologies.

Qingguo LiView profile

Professor

• Biomechanical system design
• Energy harvesting
• Wearable sensors
• +4 more

Qingguo Li is a Professor and Associate Head at the Department of Mechanical and Materials Engineering , Queen's University , and a member of the Ingenuity Labs Research Institute . He specializes in biomechanical system design, energy harvesting, wearable sensors, gait analysis, and load carriage systems. His research integrates robotics, biomedical engineering, and sensor technology to develop human-centric devices and mobility aids. Current Roles : Professor, Associate Head, Queen's University Research Institute : Ingenuity Labs Research Institute Lab : Bio-Mechatronics and Robotics Laboratory His work focuses on biomechanical energy harvesting , IMU-based motion analysis , and assistive device development . Key applications include stroke rehabilitation, gait monitoring, and wearable power generation systems. Articles span cable-driven robots , smart walkers , and 3D printing mechanisms , emphasizing human-robot interaction and dynamic modeling . The lab explores sensor calibration , adaptive control algorithms , and human movement optimization . Areas of impact include rehabilitation engineering , load carriage stability , wearable sensor accuracy , and assistive robotics . His team develops solutions for gait asymmetry detection , post-stroke mobility , and low-cost energy systems , leveraging machine learning and kinetic modeling .

Irem DikmenView profile

Professor

• Construction Project Risk Management
• Climate Risk and Resilience in Built Environment
• Digital Construction Technologies
• +5 more

Professor Irem Dikmen is a leading academic in Construction Engineering and Management at the University of Reading, where she serves as School Director of Internationalisation in the Chancellor's Building. Her research integrates engineering, management, and information sciences to advance construction project risk management, particularly focusing on climate resilience, digital technologies, and social value in infrastructure systems. PhD, MSc, and BSc in Civil Engineering from Middle East Technical University Her work leverages systems thinking, artificial intelligence, and digital tools to develop decision-support frameworks for megaprojects and climate adaptation. Recent publications highlight innovations in NLP contract analysis, energy performance ontologies, and risk visualization techniques. She supervises students on topics spanning IoT lifecycle management, ESG risks, and NLP defect detection. Key collaborations include the Climate and Finance Research Cluster and Walker Institute , with contributions to digital construction technologies and sustainability risk assessment. Teaching modules include Construction Risk Management, Economics, and Business Organisation.

• Industrial Automation
• Control Systems
• Machine Learning Applications
• +5 more

Valeriy Vyatkin is a Professor at the Department of Electrical Engineering and Automation, Aalto University. His research focuses on advancing industrial automation, control systems, and their integration with emerging technologies like machine learning and digital twins. He specializes in standards such as IEC 61499, addressing interoperability, formal verification, and performance optimization in distributed automation systems. Key research interests include: Physics-informed machine learning for industrial processes (e.g., steel rolling, reservoir engineering) Formal methods for control system validation and safety-critical applications Development of adaptive automation frameworks for Industry 5.0 challenges, including human-robot collaboration and energy systems Interoperability between legacy and modern industrial standards (OPAS, OPC UA) Recent work emphasizes real-time simulation, FPGA-based control prototyping, and AI-driven solutions for energy efficiency and sustainability in manufacturing, horticulture, and process industries. Publications span topics like robotic walker design, probabilistic model checking, and decentralized learning management systems. He collaborates on EU and industry-funded projects, focusing on digital twin implementation, edge computing, and virtual commissioning. His team develops tools for automated code generation, system migration, and anomaly detection in complex industrial settings.

Carolyn Conner SeepersadView profile

Professor

• Design for Additive Manufacturing
• Engineering Design
• Additive Manufacturing
• +4 more

Carolyn Conner Seepersad serves as the J. Mike Walker Professor of Mechanical Engineering at the University of Texas at Austin and directs the Center for Additive Manufacturing and Design Innovation. She holds membership in the U.T. System Academy of Distinguished Teachers and maintains active leadership in the additive manufacturing community through roles such as co-organizer of the Solid Freeform Fabrication Symposium and ASME Design Engineering Division Executive Committee membership. Her academic credentials include: PhD in Mechanical Engineering from Georgia Tech (2004) MA/BA in Philosophy, Politics and Economics from Oxford University (1998, Rhodes Scholar) BS in Mechanical Engineering from West Virginia University (1996) Dr. Seepersad's research centers on computational design methodologies and additive manufacturing innovation , with particular expertise in simulation-based design of complex systems, environmentally conscious product development, and materials engineering. Her work bridges theoretical design frameworks with practical manufacturing applications, emphasizing sustainability and performance optimization across aerospace, automotive, and energy systems. Current projects explore reactive extrusion additive manufacturing, negative stiffness materials, and machine learning integration for process-aware design. Analysis of her 15 most recent publications reveals a dominant focus on process innovation in additive manufacturing (70%), particularly stereolithography and selective laser sintering, with growing emphasis on data-driven design approaches (20%) and sustainable engineering applications (10%). Her work demonstrates consistent progression from fundamental material design toward integrated system optimization and industrial scalability. Her scientific recognition includes: International Outstanding Young Researcher Award in Freeform and Additive Manufacturing (2009) UT System Regents’ Teaching Award (2010) ASME Design Automation Committee Outstanding Young Investigator Award (2010) ASEE Outstanding New Mechanical Engineering Educator Award (2013) Multiple ASME and ASEE best paper awards U.T. System Academy of Distinguished Teachers membership Dr. Seepersad maintains an extensive advising portfolio with 48 graduate students (16 PhD, 24 MS, and 8 current) plus 2 postdoctoral researchers, reflecting sustained research productivity and educational impact. Her Product, Process, and Materials Design Lab fosters interdisciplinary collaboration between mechanical engineering, materials science, and computational design teams.

Craig KnoblockView profile

Research Professor

• Knowledge Graphs
• Data Semantics
• Schema Alignment
• +5 more

Craig Knoblock serves as Keston Executive Director of the Information Sciences Institute (ISI) at the University of Southern California (USC), Vice Dean of the USC Viterbi School of Engineering, and Research Professor of Computer Science and Spatial Sciences. He also directs the Data Science Program and the Center on Knowledge Graphs at USC. His educational background includes a Ph.D. and M.S. in Computer Science from Carnegie Mellon University (1991, 1988) and a B.S. with honors in Computer Science from Syracuse University (1984). Knoblock's research focuses on data semantics , specializing in source modeling, schema and ontology alignment, entity and record linkage, data cleaning, Web data extraction, and knowledge graph construction. His work bridges computer science, geospatial analysis, and artificial intelligence to solve complex data integration challenges. Recent projects emphasize historical map digitization, geospatial knowledge graphs, and smart city applications. His 300+ publications demonstrate consistent contributions to knowledge graphs and geospatial data integration, with a growing emphasis on historical map analysis and urban applications. The research trajectory shows increasing interdisciplinary collaboration across computer vision, geoinformatics, and domain-specific applications. IEEE Fellow (2020) ACM Fellow (2017) AAAI Fellow (2004) Robert S. Engelmore Memorial Lecture Award (2014) Donald E. Walker Distinguished Service Award (IJCAI, 2018) Use-Inspired Research Award (USC Viterbi, 2018) As Executive Director of ISI, Knoblock oversees one of USC's premier research centers with significant federal funding. His leadership extends to directing the Center on Knowledge Graphs and the Data Science Program. While specific grant details aren't provided, his extensive publication record and leadership roles indicate substantial research funding across data integration, knowledge representation, and geospatial applications. His work bridges theoretical computer science with practical applications in historical preservation, urban planning, and resource management through collaborative projects with government agencies and industry partners. Knoblock leads the Center on Knowledge Graphs at USC, focusing on developing techniques for building and utilizing knowledge graphs across diverse domains. His team combines expertise in artificial intelligence, geospatial analysis, and data integration to tackle challenges in historical map digitization, urban applications, and resource discovery. The research group maintains strong connections with both academic and government partners through the Information Sciences Institute's extensive network.

• Human-Robot Interaction
• Rehabilitation Robotics
• Socially Assistive Robotics
• +7 more

Carlos Cifuentes is an Associate Professor in Human-Robot Interaction at the Bristol Robotics Laboratory (BRL) , part of the University of the West of England (UWE Bristol) . He also serves as the Deputy Director of the VIVO Hub , a £13.4M UK-funded research initiative (2024-2030) focused on robotics for rehabilitation and healthcare. His research spans Human-Robot Interaction , Rehabilitation Robotics , Healthcare Robotics , and Socially Assistive Robotics , with applications for conditions such as cardiac diseases , post-stroke recovery , spinal cord injuries , cerebral palsy , Parkinson's disease , musculoskeletal disorders , and autism spectrum disorder (ASD) . Carlos has over 15 years of experience and 200+ publications in robotics for rehabilitation and assistive technologies. His recent work explores smart walkers with multimodal feedback, soft prosthetics using polymeric optical fiber sensors , and machine learning models for fatigue and stress estimation. He also investigates inclusive design for social robots in global contexts , including a CASTOR Robot for ASD therapy and collaborative design processes with Colombian communities. Carlos serves as an Associate Editor for IEEE Robotics and Automation Magazine (since 2021), ICRA , and IROS (since 2023). He leads projects integrating wearable sensors , deep learning , and haptic feedback to enhance mobility, autonomy, and quality of life for individuals with disabilities. As Deputy Director of the VIVO Hub, he focuses on long-term deployment of robotic systems in real-world healthcare settings, emphasizing collaboration with clinicians , caregivers , and neurodiverse communities . His work bridges robotics , biomedical engineering , and human-centered design .

• Human-robot physical interaction
• Elderly people
• Smart-walker
• +3 more

Ludovic Saint-Bauzel is a lecturer at Sorbonne University and head of the IRIS team at the Institute of Intelligent Systems and Robotics (ISIR). His work focuses on improving physical human-robot interaction for individuals with autonomy loss through disability or aging. Specializes in computational models of disabilities Develops user intent detection through sensor fusion Active in IFRH and Fedrha federations IEEE and True Life Lab member Research interests His research centers on Human-robot physical interaction with applications in Elderly care , Smart-walker development, and Walking exoskeleton systems. Key methodologies include: Sensor fusion (depth cameras, force sensors, IMUs) Adaptive robot control systems Pathological movement modeling Motor intent prediction algorithms Article trends show consistent focus on haptic communication (6/15), assistive robotics (9/15), and sensorimotor interaction (11/15) across 2013-2022 publications. Laboratory involvement : Leads the IRIS team at ISIR, part of Fedrha (Federation for Research on Disability and Autonomy) with 50+ research teams.

John D. AlbertsonView profile

Professor

• Fluid Dynamics and Rheology
• Energy and the Environment
• Computational Fluid Dynamics
• +8 more

John D. Albertson is a Professor in the School of Civil and Environmental Engineering at Cornell University, where he has been since 2015. Previously, he served as Department Chair of Civil and Environmental Engineering at Duke University. He holds visiting appointments at the University of Cork, University of Cagliari, University of Padova, and EURAC (Italy). His research focuses on mass, energy, and momentum exchange between land and atmosphere, with applications in hydrometeorology, air quality, and model-data fusion. B.S. in Civil Engineering (SUNY Buffalo, 1985) M.B.A. in Finance (University of Hartford, 1989) M.E.S. in Hydrology (Yale University, 1993) Ph.D. in Hydrology (UC Davis, 1996) Research interests include fluid dynamics, environmental fluid mechanics, remote sensing, and sustainable energy systems. His work integrates computational methods with field measurements to advance environmental science and engineering solutions. Awards: Croll Fellow Professor (2015), Natural Resource Institute Award (2000), NASA New Investigator Award (1999) Teaching includes courses on hydrology, environmental transport processes, and smart cities. His lab (Albertson Lab) develops innovative approaches for environmental monitoring and sustainable systems.

• Socially Assistive Robotics
• Assistive Robotics
• Rehabilitation Robotics
• +2 more

Marcela Munera is an Associate Professor in Assistive Robotics at the University of the West of England (UWE Bristol). Her research focuses on robotic devices for rehabilitation, human-robot interaction, biomechanics, and movement analysis, with a particular emphasis on user-centered design approaches. Bioengineer, Universidad de Antioquia (Colombia) MSc in Mechanics and Materials, Ecole Nationale de Metz (France) PhD in Mechanics and Biomechanics, Université de Reims Champagne Ardenne (France) Key research areas include socially assistive robotics, rehabilitation robotics, and biomechanical modeling. She has led projects involving exoskeletons, smart walkers, and wearable sensors, often integrating participatory design and multimodal feedback mechanisms. Her publications highlight interdisciplinary applications in neurological rehabilitation (e.g., stroke, Parkinson's disease), autism therapy, and occupational health. Recent work explores smart upper-limb exoskeletons for construction workers, stress classification via novel sensors, and adaptive control systems for mobility assistance. FEDER, Region Champagne Ardenne Doctoral Grant Her doctoral research focused on industrial biomechanical assessments for sports performance and injury prevention, later expanding to human-centered rehabilitation robotics. She has collaborated on projects involving brain-computer interfaces, serious games, and cloud robotics frameworks like PoundCloud.

Luigi PalopoliView profile

Professor

• Hybrid Systems
• Real-Time Scheduling
• Quality of Service Control
• +12 more

Luigi Palopoli is a Full Professor and Director at the Department of Information Engineering and Computer Science (DISI), University of Trento, Italy. He is also a member of the University Council. His research spans hybrid systems, real-time scheduling, quality of service control, robotics, embedded systems, and cyber-physical systems. His research interests include: Hybrid Systems and Real-Time Scheduling Service and Assistive Robotics for Elderly Support AI Applications in Robotics and Embedded Systems Outlier Detection and Anomaly Explanation Audio Super-Resolution and Signal Processing Biological Network Analysis and Graph Alignment His recent publications reflect a strong interdisciplinary focus, combining AI, robotics, real-time systems, and bioinformatics. Trends show increasing work in explainable AI, assistive technologies, and multimodal learning (e.g., vision transformers for audio). He has made notable contributions to robotic navigation for the elderly, real-time embedded systems, and logic-based outlier detection. Scientific awards include: Outstanding Paper Award at RTAS 2017 He advises students and collaborates widely, especially with Daniele Fontanelli, Luca Abeni, and other researchers in robotics and AI. He maintains an active research group, evidenced by a dedicated YouTube channel for the Embedded Intelligence and Robotic Systems group. He is involved in teaching, including courses on Robot Planning and Real-Time Operating Systems, and participates in AI seminar series. There is no indication of retirement or former status; he is actively engaged in research, teaching, and academic service.

He David ZhangView profile

Assistant Professor

• Computer Vision
• Robotics
• SLAM
• +3 more

He David Zhang is an Assistant Professor of Computer Science at Governors State University and a Postdoctoral Associate at Virginia Commonwealth University (VCU) Robotics Lab. His research focuses on computer vision, robotics, and assistive technologies for visually impaired individuals. Ph.D. in Electrical & Computer Engineering, University of Arkansas at Little Rock (2018) B.S. in Computer Science & Technology, Chinese University of Mining and Technology at Beijing (2009) Study Certificate in Computer Architecture, University of Chinese Academy of Sciences (2010) Dr. Zhang's research integrates vision-based algorithms with inertial sensors to create robust systems for indoor localization, 3D mapping, and human-robot interaction. Key projects include Smart Cane, CoRobotic Cane (CRC), Wearable Robotic Object Manipulation Aid (W-ROMA), and Quadrupedal Human-Assistive Robotic Platform (Q-HARP), which aim to enhance mobility for the visually impaired and elderly populations. His recent publications emphasize improving Visual-Inertial Odometry (VIO) accuracy through depth uncertainty modeling and hybrid perspective-n-point methods. He has contributed to benchmark datasets like VCU-RVI and explored SLAM applications in real-time assistive robotics. Awards include Best Conference Paper honors and competitive recognitions in IROS and 3MT competitions. Best Conference Paper Award, IEEE HSI 2019 2nd Place, IROS 2020 UZH-FPV VIO Competition System Engineering Award for Excellent Ph.D. Student, UA Little Rock (2018)

Mark BalasView profile

Professor

• Control Systems Engineering
• Quantum Systems Control
• Adaptive Control Theory
• +3 more

Mark Balas is a Professor in the J. Mike Walker ’66 Department of Mechanical Engineering at Texas A&M University, holding the Leland T. Jordan Professorship. His research focuses on adaptive control systems, quantum systems, and aerospace engineering. Notable awards include the AIAA GNC Control Heritage Award (2018), ASME Fellow (2015), IEEE Fellow (2006), and AIAA Fellow (2001). Education: Ph.D., Applied Mathematics, University of Denver — 1974 M.S., Electrical Engineering, University of Denver — 1974 M.S., Mathematics, University of Maryland — 1970 B.S., Electrical Engineering, University of Akron — 1965 Research Interests: Control and Estimation of Quantum Systems, Nonlinear Systems, Aerospace Engineering, and Adaptive Control Theory. Awards & Honors: AIAA GNC Control Heritage Award (2018) ASME Fellow (2015) IEEE Fellow (2006) AIAA Fellow (2001) Advising & Grants: Active in the Morpheus Lab, focusing on adaptive systems and control. His research spans wind turbine control, spacecraft formations, and autonomous systems. Collaborates on projects involving distributed parameter systems and quantum engineering. Labs/Teams: Morpheus Lab at Texas A&M University, dedicated to advancing adaptive control and systems engineering.

Arkasama BandyopadhyayView profile

Assistant Professor

• Engineering Education
• Distributed Energy Systems
• Building Energy Efficiency
• +1 more

Arkasama Bandyopadhyay is Instructional Assistant Professor in Mechanical Engineering at Texas A&M University. Her research bridges engineering education with sustainable energy systems including building efficiency and smart grid technologies. She develops statistical machine learning approaches for energy consumption analysis and HVAC optimization in built environments. Awards: UT Austin Energy Week Student Research Competition (2020) WPI STEM Faculty Launch Program (2019)