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Christopher WilliamsView profile

Research Professor

• Remote Sensing
• Earth & Space Sciences
• Radar Remote Sensing
• +3 more

Christopher Williams is a Research Professor at the University of Colorado Boulder's Department of Aerospace Engineering Sciences, affiliated with the Colorado Center for Astrodynamics Research (CCAR). He holds a PhD in Electrical Engineering from the University of Colorado (1994), an MS from Purdue University (1986), and a BS from California Polytechnic State University (1984). His research focuses on radar remote sensing of precipitation, tropospheric microphysics, and cloud dynamics, with emphasis on satellite, airborne, and ground-based systems. He has contributed to projects like the Global Precipitation Measurement (GPM) mission and led validation efforts using disdrometers and profilers. Key awards include the NASA Goddard Robert H. Goddard Award (2015) and CIRES Outstanding Scientist (2006). Research interests include calibrating cloud radars, analyzing raindrop size distributions, and understanding precipitation processes in diverse environments. His work bridges observational techniques (e.g., Doppler radar, microwave radiometry) with theoretical modeling to improve satellite rainfall algorithms. Recent studies address attenuation effects in radar signals, vertical air motion estimation, and the impact of anthropogenic pollution on Arctic cloud properties. Educations : PhD, Electrical Engineering, University of Colorado, 1994 MS, Electrical Engineering, Purdue University, 1986 BS, Electronic Engineering, California Polytechnic State University, 1984 Key Projects : ARM Climate Research Facility NOAA Earth System Research Laboratory GPM Ground Validation campaigns Publications emphasize radar-based precipitation analysis, with recent trends in airborne W-band applications, PIA modeling, and parameterization of rain variability for large-scale models. His lab collaborations include CIRES and NASA, advancing technologies for climate monitoring and disaster response.

Chad G. RoseView profile

Assistant Professor

• Robotics
• Human-Robot Interaction
• Robotic Rehabilitation
• +3 more

Chad G. Rose is an Assistant Professor of Mechanical Engineering at Auburn University's College of Engineering. He holds a Ph.D. and M.S. from Rice University and a B.S. from Auburn University. His research focuses on robotics, particularly in human-robot interaction, rehabilitation robotics, and wearable devices. He actively collaborates on projects like robotic rehabilitation systems and virtual reality empathy training for healthcare professionals. Dr. Rose has received internal research funding from Auburn University and contributes to multidisciplinary initiatives with Toyota and European institutions. Education : Ph.D. Mechanical Engineering, Rice University M.S. Mechanical Engineering, Rice University B.S. Mechanical Engineering, Auburn University His research interests emphasize robotic rehabilitation , including exoskeleton design for functional tasks and neuromechanical modeling of injuries. He also explores virtual reality applications to enhance empathy in medical training and collaborative assembly frameworks for industrial robotics. His work bridges biomechanics, control systems, and human-centered design. Recent publications span topics like soft hand exoskeleton control, human-robot collaborative assembly, and predictive haptic feedback for autonomous systems. His research has been highlighted in interdisciplinary collaborations and competitions like the NASA Robotic Mining Challenge. Awards : Recipient of Auburn University's internal research funding (2023) Dr. Rose advises projects in robotic systems development and has contributed to Auburn's Robotic Mining Team. His lab focuses on wearable robotics, sensorimotor interfaces, and human-centered automation. He collaborates with industry partners like Toyota and international institutions to advance safety and accessibility in robotics.

Philipp LensingView profile

Professor

• Virtual Reality
• Augmented Reality
• Mixed Reality
• +5 more

Prof. Dr.-Ing. Philipp Lensing serves as a Professor in the Faculty of Engineering and Computer Science at Osnabrück University of Applied Sciences. His academic work focuses on cutting-edge developments in virtual and augmented reality systems, computer graphics, and game programming. His research interests span Virtual Reality , Augmented Reality , Mixed Reality , Game Programming , Computer Graphics , and Natural User Interfaces . Prof. Lensing has pioneered work in real-time global illumination techniques, avatar calibration systems, and the integration of virtual content with real environments. His research has been applied across diverse domains including landscape planning, physics education, medical rehabilitation, and industrial engineering. Prof. Lensing's recent publications reveal a strong trend toward practical applications of VR/AR technologies in scientific, educational, and industrial contexts. His work increasingly focuses on multimodal interaction, haptic feedback systems, and the integration of VR with complex scientific instrumentation like scanning probe microscopy. He has supervised numerous student projects focused on VR/AR applications, game development, and 3D modeling. His teaching includes courses on Computer Graphics, 3D Game Programming, Virtual and Augmented Realities, and 3D Modeling and Animation. Prof. Lensing leads several research projects including GROWTH (funded by BMBF), VRnano (BMBF), VRFlow Suite, VR-Physio-BOX, and MoDal-MR, all exploring innovative applications of immersive technologies in various practical contexts.

Richard MolyetView profile

Senior Lecturer

• Automatic Control
• Robotics
• Sensor Development
• +7 more

Dr. Richard Molyet is a Senior Lecturer and Undergraduate Director in the Department of Electrical Engineering and Computer Science at the University of Toledo's College of Engineering. After retiring as Associate Professor in 2002, he returned to academia in 2005 as Visiting Professor and transitioned to Associate Lecturer in 2008. Education: Ph.D. in Engineering Science (1981) from University of Toledo His research spans Automatic Control , Robotics , Smart-Grid Systems , and Biomedical Applications . Recent publications focus on deep learning for medical diagnostics and hybrid power network optimization , while earlier work explored repetitive control algorithms and microprocessor-based motion analysis . Scientific Recognition: IEEE Third Millennium Medal (2000) IEEE-USA Professional Achievement Award (2002) University of Toledo Outstanding Teacher Award (2016) Currently advising 3 PhD students and multiple Master’s candidates, Dr. Molyet has served on numerous academic committees since the 1980s. He maintains an active role in IEEE Toledo Section's executive board for 39 years .

Davi V. Q. RodriguesView profile

Assistant Professor

• Signal Processing
• Microwave/Millimeter-Wave Circuits
• Radar Systems
• +7 more

Dr. Davi V. Q. Rodrigues is an Assistant Professor in the Department of Electrical and Computer Engineering at the University of Texas at El Paso (UTEP). His research focuses on microwave/millimeter-wave circuits and signal processing for radar, communication systems, and smart living applications. He holds a B.S. in Communications Engineering from the Military Institute of Engineering (Brazil) and a Ph.D. in Electrical Engineering from Texas Tech University. Prior to academia, he served in the Brazilian Navy and Army, and worked at Uhnder, Inc., Abbott Laboratories, and Dell Technologies. His work emphasizes radar-based smart home, healthcare, and autonomous systems, with contributions in structural health monitoring, human activity recognition, and joint communication-sensing technologies. Dr. Rodrigues has received prestigious awards including the 2022 IEEE MTT-S Tom Brazil Fellowship and the 2023 Texas Tech Horn Distinguished Professors Award. His research group, the Microwave Circuits & Sensing Systems Group, develops algorithms and hardware for biomedical sensing, non-contact health monitoring, and 6G-enabled applications. He actively seeks motivated graduate students interested in radar systems, signal processing, and wireless technologies. Education: B.S., Communications Engineering, Military Institute of Engineering (2017) Ph.D., Electrical Engineering, Texas Tech University (2023) Research Interests: Microwave/mm-wave radar systems Human activity monitoring and gesture recognition Structural health monitoring 6G/ B5G communication-sensing fusion Passive and opportunistic RF sensing His publications span radar-based smart living solutions, biomedical sensors, and reconfigurable intelligent surfaces (IRS). He is an IEEE MTT-S member and has contributed to industry partnerships through collaborations with Uhnder and Dell Technologies. Current projects integrate AI-driven radar signal analysis and low-cost sensor networks for healthcare and infrastructure monitoring.

Engin ErzinView profile

Professor

• Artificial Intelligence
• Multimedia Systems
• Computer Vision
• +6 more

Engin Erzin is a Professor at Koç University's College of Engineering, leading the KUIS AI Lab and Multimedia, Vision and Graphics Lab . His research focuses on AI-driven human-centric systems, affective computing, and multimodal interaction analysis. He has contributed extensively to robotics, speech processing, and human-robot interaction through over 70 peer-reviewed publications since 2008. Research interests include: Affective computing and emotion recognition from speech/gestures Human-robot interaction and socially engaging agents Speech-driven animation and gesture synthesis Multimodal data fusion for interaction analysis Deep learning applications in robotics and biomedical engineering Recent work emphasizes: Developing adaptive pHRI controllers for manufacturing tasks Creating engagement measurement frameworks for human-machine interfaces Advancing Turkish speech recognition through self-supervised learning Designing multimodal databases for interaction studies Labs: KUIS AI Lab : Focuses on AI applications in robotics and human-computer interaction Multimedia Lab : Specializes in vision, graphics, and audiovisual analysis

Enrico RukzioView profile

Professor

• Human-Computer Interaction (HCI)
• Automotive User Interfaces
• Extended Reality (XR)
• +5 more

Enrico Rukzio is a Full Professor of Human-Computer Interaction at the University of Ulm, leading the Human-Computer Interaction group and directing the Institute for Media Research and Media Development. His research spans interactive systems design, focusing on automotive UIs, extended reality, accessibility, and sustainable interaction. He holds a Ph.D. in Computer Science from the University of Munich and has held prior roles at Lancaster University and the Ruhr Institute for Software Technology. Roles: Faculty Dean (2017–2020), Admissions Committee Chairman, Doctoral Committee Chairman Educations: Ph.D., Munich; Lecturer qualifications from Lancaster and Duisburg-Essen Research emphasizes enabling efficient, inclusive, and sustainable interactions through novel interfaces. His work addresses automated vehicles, health-supporting tech, and accessibility for visually impaired users. Recent articles explore Bayesian optimization for UI design, automated vehicle communication, and urban air mobility visualization. Notable awards include best paper recognitions at CHI, EuroVR, and IEEE VR. His grants come from BMBF, DFG, and industry partners like Mercedes-Benz Group. Advises on over 20 funded projects and has mentored award-winning students.

Michael R. VannerView profile

Professor

• Quantum Optomechanics
• Quantum Photonics
• Hybrid Quantum Systems
• +3 more

Michael R. Vanner is a Professor at Imperial College London leading the Quantum Measurement Lab. His research focuses on experimental and theoretical quantum optomechanics, quantum photonics, and hybrid quantum systems. He explores foundational questions in quantum mechanics and develops quantum technologies for sensing and entanglement generation. Key projects include laser cooling of mechanical resonators, Brillouin scattering in optical fibers, and generating non-Gaussian mechanical states. Vanner has supervised over a dozen PhD/MSc students and postdocs, many of whom have transitioned to prestigious academic and industry roles. His lab has secured £multi-million grants, including a UKRI Future Leaders Fellowship and EPSRC Strategic Capital Equipment funding. Notable awards include Australia's National Measurement Institute Prize (2018) for contributions to precision measurement in cavity quantum optomechanics. Research Highlights: Developed techniques for enhanced laser cooling via zero-photon detection Explored quantum-to-classical transition interfaces with mechanical systems Pioneered single/multiphonon subtraction to engineer non-Gaussian states Collaborated with global institutions like AMOLF, ANU, and NPL Awards & Recognition: 2018: Australia's National Measurement Institute Prize 2019: Royal Society Research Grant 2022: EPSRC Strategic Capital Equipment Grant (£1.6M) Labs/Teams: Quantum Measurement Lab at Imperial College London, collaborating with the Del'Haye Lab (Erlangen), ANU Quantum Optics Group, and ORCA Computing. Current facilities include dilution refrigerators and advanced optomechanical setups.

Hande BensonView profile

Professor

• Optimization
• Nonlinear Optimization
• Interior-Point Methods
• +12 more

Hande Benson is a Professor in the Department of Decision Sciences and MIS at LeBow College of Business, Drexel University. She serves as the academic director of the Business and Engineering program and teaches in undergraduate and graduate programs in Business Analytics and Operations and Supply Chain Management. Research Interests: Dr. Benson specializes in optimization, particularly addressing modeling and computational challenges in large-scale nonlinear and mixed-integer optimization. Her work includes interior-point methods, regularization techniques, and the development of optimization software such as LOQO and MILANO. Recent Research Trends: Her recent publications span decision aggregation, multi-vehicle motion planning under communication constraints, and advanced interior-point algorithms. These works reflect a strong focus on algorithmic innovation, real-world applications in robotics and supply chains, and theoretical advancements in nonconvex optimization. Scientific Awards: Outstanding STAR Mentor, Drexel University (2017-2018) Distinguished Fellow, Center for Research Excellence, LeBow College of Business (2009-2012) Excellence in Research Award, LeBow College of Business (2005) Advising and Grants: While direct student advising is not explicitly listed, Dr. Benson has led significant research projects, including Multivehicle Path Coordination under Communication Constraints (Drexel Interdisciplinary Research Grant, $15,000) and Efficient Interior-Point Methods for Mixed-Integer Nonlinear and Conic Programming (NSF, $59,960). She has also contributed to executive education and consulting in financial, industrial, and governmental sectors. Editorial and Professional Service: Dr. Benson is actively involved in the academic community as Associate Editor for several leading journals, including Computational Optimization and Applications , Journal of Optimization Theory and Applications , Mathematical Programming Computation , and Optimization and Engineering .

• Quantum Computing
• Quantum Information Science
• Quantum Networking
• +3 more

Norbert Linke is an Adjunct Assistant Professor in the Department of Physics at the University of Maryland , affiliated with the Joint Quantum Institute . His research focuses on experimental quantum computing with trapped atomic ions, emphasizing quantum information processing, quantum algorithms enhanced by machine learning, quantum simulation, and quantum networking using entangled photons. He holds a Dipl. Phys. from the University of Ulm (2007) and a D.Phil. in Atomic & Laser Physics from the University of Oxford (2013), where he worked under David Lucas. Before joining UMD, he conducted postdoctoral research at Oxford. Education: Bachelor's (Dipl. Phys.): University of Ulm, Germany (2007) Doctorate (D.Phil.): University of Oxford, U.K. (2013) Research Interests: Quantum algorithms with machine learning integration Quantum simulation of complex systems (e.g., quantum chromodynamics) Quantum networking via Sr+ ion-photon entanglement Development of robust quantum hardware (e.g., 3D monolithic traps) His recent work explores quantum advantage in finance, blind calibration of quantum computers, and optical control of qubits. The lab emphasizes scalable architectures and hybrid analog-digital simulations. While no scientific awards are explicitly listed, his contributions to trapped-ion systems and quantum networking are widely recognized in the field. Norbert advises researchers at the Joint Quantum Institute and collaborates on grants related to quantum computing hardware and algorithms. His team’s lab focuses on advancing ion-trap technology and explores future applications in quantum communication and computation.

Po Wen ChengView profile

Professor

• Wind Energy
• Aerospace Engineering
• Aerodynamics
• +6 more

Prof. Dr. Po Wen Cheng is a Professor and Head of the Stuttgart Chair of Wind Energy (SWE) at the Institute of Aircraft Design, University of Stuttgart. His research focuses on wind energy systems, including floating offshore wind turbines, lidar applications in wind farm control, and structural dynamics of renewable energy systems. He leads interdisciplinary projects addressing challenges in mooring systems, aeroelastic analysis, and noise mitigation. Key areas of expertise include aerodynamic load optimization, lidar-assisted control strategies, and numerical modeling of wind farm interactions. His work integrates advanced machine learning techniques for predictive maintenance and performance enhancement. Cheng collaborates with international institutions and participates in high-profile wind energy initiatives like the Alpha Ventus offshore wind farm study. Teaching: Courses on Wind Turbine Design and Wind Energy Utilization Research Labs: Stuttgart Chair of Wind Energy, Institute of Aircraft Design Recent Projects: Scaled Flight Demonstrator e-Genius-Mod, Passively Self-Adjusting Floating Wind Farms, Lidar-Based Virtual Sensors His research emphasizes sustainable energy transitions, with particular attention to offshore wind infrastructure and turbulence mitigation in complex environments.

Thor Inge FossenView profile

Professor

• Marine craft hydrodynamics
• Motion control systems
• Navigation systems
• +7 more

Thor Inge Fossen is a Professor of Navigation and Marine Craft Control at the Department of Engineering Cybernetics, Faculty of Information Technology and Electrical Engineering at the Norwegian University of Science and Technology (NTNU). He is a key scientist at the Norwegian Centre for Embodied AI (NCEI) and internationally recognized for his work in navigation systems, guidance systems, and control of marine vessels, aircraft, and drones. Professor Fossen holds a PhD in Engineering Cybernetics and an MSc in Marine Technology. His academic journey has led him to become a Fellow of AAIA, IEEE, and IFAC, reflecting his significant contributions to the field. His research spans several critical areas in marine and aerospace systems: Marine craft hydrodynamics and motion control Navigation, guidance, and control systems for marine craft, aircraft, and drones Cybersecurity of autonomous vehicles Sea-state estimation and wave analysis Attitude control and estimation Fossen's marine craft model, which is widely used in the industry Professor Fossen's publication record demonstrates a strong focus on adaptive control systems, particularly Line-of-Sight (LOS) guidance laws, with numerous papers on 3D path following for marine and aerial vehicles. His recent work (2023-2025) shows increasing integration of machine learning techniques with traditional control systems, particularly in areas like constrained control allocation using deep neural networks. There's also a growing emphasis on cybersecurity aspects of autonomous vehicle guidance systems. His scientific recognition includes: Fellow of the American Institute of Aeronautics and Astronautics (AAIA) Fellow of the Institute of Electrical and Electronics Engineers (IEEE) Fellow of the International Federation of Automatic Control (IFAC) Professor Fossen has been actively involved in advising graduate students, with numerous PhD and MSc graduates. He has led significant research projects including the Marine Systems Simulator (MSS) and the Python Vehicle Simulator, which are widely used tools in the field. His current appointments include being a Study Program Coordinator for the Master's program in Cybernetics and Robotics at NTNU and a Key Scientist at the Norwegian Centre for Embodied AI. He leads research teams focused on embodied AI applications for marine systems, with particular emphasis on safe and secure autonomous operations in complex maritime environments. His work bridges theoretical control systems with practical marine applications, making significant contributions to both academic research and industry implementation.

Davide TateoView profile

Visiting Professor

• Reinforcement Learning
• Robotics
• Safe and Reliable Robot Learning
• +3 more

Davide Tateo is a postdoctoral researcher and visiting professor at TU Darmstadt, leading the Safe and Reliable Robot Learning Research Group within the Intelligent Autonomous Systems group of the Computer Science Department. His research focuses on developing safe and efficient reinforcement learning algorithms for real-world robotics applications. His work spans Reinforcement Learning (Safe RL, Deep RL) and Robotics (fast motion planning, locomotion). He is involved in multiple funded projects including KIARA (advanced manipulation in risky scenarios), DeepWalking (human gait learning), and INTENTION (active perception for legged robots). Recent publications highlight his expertise in Safe RL (inductive biases, collision probability fields), Locomotion (multi-embodiment, morphology-aware policies), and Optimization (contact planning, trajectory distillation). He collaborates with the PEARL lab at TU Darmstadt and has contributed to key workshops like CoRL 2024 and RSS 2024. Contact details: Email: davide.tateo@tu-darmstadt.de Room E303, Building S2|02, Hochschulstr. 10, Darmstadt Phone: +49-6151-16-20811

Mika SillanpääView profile

Professor

• Quantum Technology
• Nanophysics
• Microwave Optomechanics
• +5 more

Mika Sillanpää is a Professor at the Department of Applied Physics , Aalto University , and serves as a Professor (Associate Professor) at the Centre of Excellence in Quantum Technology and the Quantum Nanomechanics group. His research focuses on experimental superconducting nanoelectronics at milli-Kelvin temperatures, particularly Josephson junction quantum circuits and microwave optomechanics. Doctoral degree from Helsinki University of Technology (2005) Master's degree from Helsinki University of Technology (1999) Research Interests: Prof. Sillanpää has pioneered low-noise amplification schemes using microwave optomechanics and demonstrated quantum squeezing/entanglement in micromechanical devices. Key projects include GUANTUM (quantum-gravity limits) and MQSens (quantum sensing with mechanical resonators). Scientific Contributions: His work spans quantum back-action evading measurements, noiseless amplification, and TLS detection in resonators. Recent publications highlight Casimir force measurements between superconductors and long-lived electromechanical systems using silicon-carbide membranes. ERC Consolidator Grant (2013) ERC Starting Grant (2009) IUPAP C5 Young Scientist Prize (2011) Väisälä Prize (2015)

• Adaptive and robust control
• Nonlinear control
• Precision control
• +4 more

Bin Yao is a Professor of Mechanical Engineering at Purdue University, located in West Lafayette, Indiana. He holds positions within the School of Mechanical Engineering and has affiliations with Purdue's broader Engineering College. His research focuses on adaptive and robust control systems, nonlinear control, precision mechanical systems, vehicle control, and robotics, with applications in human-machine interaction, transportation, and advanced robotics. Yao earned his B.Eng. from Beijing University of Aeronautics & Astronautics (1987), M.Eng. from Nanyang Technological University (1992), and Ph.D. from UC Berkeley (1996). He has received numerous awards, including the 2010 Changjiang Chair Professorship and the 2007 ASME Outstanding Young Investigator Award. His work emphasizes theoretical advancements in control systems and their practical implementation in industrial and robotic applications. Key research trends in his publications include precision motion control of gantry systems, adaptive strategies for hydraulic manipulators, and teleoperation systems with haptic feedback. His articles often bridge theoretical control methodologies with real-world mechanical systems, emphasizing robustness and adaptability. Awards: Over 10 prestigious awards spanning from 1985 to 2010, including international recognitions in control systems and academic excellence. Grants: Secured major funding through NSF CAREER Award (1998) and other industrial collaborations. His research lab focuses on advanced control systems integration in mechanical and robotic platforms, with ongoing projects in precision manufacturing and autonomous vehicle dynamics.