Alessandro Aimasso is a PhD student in Aerospace Engineering (38th cycle, 2022-2025) at the Polytechnic University of Turin's Department of Mechanical and Aerospace Engineering (DIMEAS), where he also serves as an external lecturer and teaching assistant. He contributes to research activities at the ASTRA group (Additive Manufacturing for Systems and Structures in Aerospace) and the interdepartmental Center for Photonic Technologies PhotoNext. His research focuses on optical sensors for aeronautical and space applications, particularly Fiber Bragg Grating (FBG) technology for system lifecycle management. Specific interests include: Augmented reality visualization of sensor data Thermal and structural monitoring of aerospace systems Smart composites manufacturing with embedded sensors Lunar habitat construction technologies Real-time monitoring systems for spacecraft Analysis of his recent publications shows strong focus on experimental validation of FBG sensor applications in extreme environments, development of real-time monitoring systems, and integration of augmented reality for data visualization. His work frequently involves rapid prototyping and multidisciplinary approaches to aerospace challenges. He holds two patents: USE AND INTEGRATION OF SENSORS IN THE STRUCTURE AND EQUIPMENT OF COMPLEX MACHINES FOR THE DEVELOPMENT OF INTELLIGENT MONITORING SYSTEMS AND CREATION OF MULTIFUNCTIONAL VIRTUAL SENSORS Gas-dynamic nozzle for an end-jet engine, specifically a launcher As a teaching assistant, he contributes to courses on Modeling, Simulation, and Testing of Aerospace Systems, and Photonics in the Digital Revolution. His laboratory work involves the ASTRA group's facilities focusing on additive manufacturing and photonic technologies.
جستوجوی استاد و پژوهشگر
استاد راهنما، استاد دانشگاه یا پژوهشگر مناسب برای مسیر پژوهشیتان را پیدا کنید و با او ارتباط بگیرید.
نمایش ۶۹۱-۷۰۵ از ۲٬۴۹۴ استاد راهنما
اطلاعات این پروفایلها از صفحات عمومی دانشگاهها جمعآوری شده و ممکن است بهروز نباشد.
Karl Deisseroth is the D.H. Chen Professor of Bioengineering and of Psychiatry and Behavioral Sciences at Stanford University, where he leads a research laboratory focused on developing innovative technologies for neuroscience. He is also an Investigator with the Howard Hughes Medical Institute (HHMI) and serves as an attending physician at Stanford Hospital and Clinics. Deisseroth earned his A.B. in Biochemical Sciences from Harvard University in 1992, followed by an M.D. and Ph.D. in Neuroscience from Stanford University in 1998. He completed his medical internship and psychiatry residency at Stanford University School of Medicine. Deisseroth is renowned for pioneering two revolutionary neurotechnologies: optogenetics, which uses light to control specific neurons, and hydrogel-tissue chemistry (including CLARITY and STARmap), which makes biological tissues transparent for detailed examination. His research integrates these technologies to study neural circuit function in both healthy and diseased states, with particular emphasis on understanding the neural basis of psychiatric disorders. His work spans multiple disciplines including neuroscience, bioengineering, and psychiatry, with applications in understanding depression, anxiety, addiction, and other neurological conditions. Analysis of his recent publications reveals a continued focus on advancing both optogenetics and hydrogel-tissue chemistry technologies while applying them to increasingly complex questions in neural circuit function. His work has evolved from foundational technology development to sophisticated applications examining causal relationships in neural circuits underlying behavior and disease. National Academy of Medicine (2010) National Academy of Sciences (2012) National Academy of Engineering (2019) Breakthrough Prize in Life Sciences (2016) Kyoto Prize (2018) Albert Lasker Award for Basic Medical Research (2021) Japan Prize (2023) As a mentor, Deisseroth has guided numerous students and postdoctoral fellows who have gone on to establish their own successful research programs. His laboratory has received substantial funding from the NIH, HHMI, and various private foundations to support its innovative work at the intersection of engineering, neuroscience, and psychiatry. The Deisseroth Lab at Stanford maintains a strong emphasis on interdisciplinary collaboration, bringing together experts from diverse fields to tackle complex problems in brain science. The Deisseroth Lab operates as a highly collaborative environment where engineers, neuroscientists, and clinicians work together to develop and apply cutting-edge technologies. The lab has established numerous resources for the scientific community, including detailed protocols for optogenetics and tissue-clearing techniques, fostering widespread adoption of these methods across neuroscience research worldwide.
Stefan Hägeleمشاهده پروفایل
پژوهشگر
Stefan Hägele is a researcher at the Chair of Media Technology, Technical University of Munich, affiliated with the Munich Institute of Robotics and Machine Intelligence (MIRMI). He completed his B.Sc. and M.Sc. in Electrical and Computer Engineering at TUM, graduating with distinction in 2022. B.Sc. in Electrical and Computer Engineering, TUM (2019) M.Sc. in Electrical and Computer Engineering, TUM (2022) His research focuses on signal processing applications in communications, radar, and image processing, combined with applied machine learning. Key areas include mmWave radar analysis, WiFi-based indoor positioning, privacy-preserving rehabilitation systems, and complex-valued neural networks. Recent publications highlight his work in radar-based object classification (using MIMO architectures), material recognition (SMCNet), visible light positioning (VLP-KAN), and skeleton estimation for rehabilitation (PoinTS). His contributions also appear in projects like 6G-Life, DFG Teleoperation over 5G, and CeTI (Tactile Internet).
Slimane Ben Slimane is an Associate Professor and University Lecturer at the Royal Institute of Technology (KTH) in Stockholm, Sweden, where he is affiliated with the School of Electrical Engineering and Computer Science. His academic position combines teaching responsibilities with active research in communication systems. Dr. Ben Slimane's research focuses on critical areas of modern wireless communications: Wireless Communication Systems and 5G/6G Technologies Radio Network Design and Optimization Signal Processing for Communication Systems Network Coding and Cooperative Communications IoT Security and Industrial Wireless Networks Cognitive Radio and Spectrum Management His publication record demonstrates a strong progression from fundamental wireless communication research to addressing contemporary challenges in next-generation networks. Recent work focuses on mmWave communications, beam alignment issues in 3GPP standards, C-RAN architectures for beyond 5G, and security solutions for industrial IoT deployments. His research consistently bridges theoretical frameworks with practical implementation challenges faced by industry. At KTH, Dr. Ben Slimane serves as examiner and course coordinator for numerous advanced courses including Wireless Communication Systems (IK2507), Radio Networks (IK2510), and Signal Processing (II1303). He also oversees degree projects across multiple programs in computer science, electrical engineering, and information technology. Dr. Ben Slimane actively contributes to academic development through examination of bachelor's and master's theses, with particular focus on communication systems, embedded systems, and ICT innovation specializations. His teaching portfolio reflects the interdisciplinary nature of modern communication engineering education at KTH.
Khoi Dang Lyمشاهده پروفایل
پژوهشگر ارشد
Dr. Khoi Dang Ly is a Postdoctoral Research Associate at Cornell University, specializing in robotics with a focus on embedded control systems and soft robotics. He holds a Ph.D. in Mechanical Engineering (2021) from the University of Colorado Boulder and a B.Sc. in Mechanical Engineering (2017) from Texas Tech University. His research targets the integration of high-speed electro-hydraulic actuators, self-sensing mechanisms, and model predictive control to advance the autonomy of soft robotic systems. Ph.D. in Mechanical Engineering (University of Colorado Boulder, 2021) B.Sc. in Mechanical Engineering (Texas Tech University, 2017) Dr. Ly's work bridges theoretical innovation and practical application, with projects on soft robotic shape displays, electro-hydraulic rolling wheels, and magnetic sensing for actuator control. His research extends to tactile interfaces, bio-inspired locomotion, and energy-efficient designs. He has secured over $800,000 in grants from ARPA-E and DOE for robotics applications in subterranean excavation and renewable energy harvesting. His 15 most recent publications highlight expertise in soft robotics, nonlinear control, and embedded sensing technologies. Key areas include high-speed actuation, magnetic displacement sensing, and model predictive control for hybrid dynamic systems. While no formal scientific awards are explicitly listed, his grants and patent filings underscore significant contributions to the field. Advised 5 students on projects ranging from wave tanks to HASEL actuator characterization Developed embedded high-voltage power systems and control algorithms Co-invented 3 U.S. patents, including a magnetic sensing method for soft actuators Dr. Ly's work aligns with future goals of applying system design innovations to human-centric challenges, such as improving sensorimotor function for the elderly and enhancing human-robot interaction through tangible interfaces.
Pavel Kejik is a part-time Lecturer at the Swiss Federal Institute of Technology Lausanne (EPFL), affiliated with the School of Engineering. He joined EPFL's Institute of Microelectronics and Microsystems in 1999 and concurrently works at Monolithic Power Systems (formerly Sensima Technology SA) since 2014. His dual industry-academia role focuses on magnetic sensor industrialization. Education: Diploma degree, Czech Technical University in Prague (1994) PhD, Czech Technical University in Prague (1999) Research Interests: Dr. Kejik specializes in integrated magnetic sensor systems, including Hall effect and fluxgate magnetometry. His work emphasizes low-noise circuit design, offset cancellation techniques, CMOS integration, and applications in contactless current measurement, angular sensing, and non-destructive testing (NDT). Key innovations involve micro-Hall probes, orthogonal fluxgate structures, and noise-reduction methodologies for industrial applications. Publication Trends: His recent articles (2007-2014) demonstrate a consistent focus on CMOS-integrated magnetic sensors, particularly Hall effect devices and fluxgate systems. Research themes include miniaturization, power efficiency optimization, angular position detection, and novel compensation architectures for industrial sensing applications. Advising: Supervised one PhD student: Özge Zorlu. No grants or awards mentioned. Industry Collaboration: Active in sensor industrialization through Monolithic Power Systems and contributes to the Europractice course 'Smart Sensor Systems'. Patents cover innovations in Hall arrays, fluxgate structures, and magnetic anomaly detection.
Jin Woo Songمشاهده پروفایل
دانشیار
Jin Woo Song is an Associate Professor in the Department of Artificial Intelligence and Robotics at Sejong University's School of Intelligent Mechatronics Engineering. He has held academic positions at Seoul National University and Hoseo University prior to joining Sejong University in 2017. His professional experience also includes serving as CTO/COO at Microinfinity Co., Ltd. from 2004-2014. Currently, he holds multiple leadership roles including Director of Sejong Enterprise Support Foundation, Director of SW-AI Convergence Center, and Provost of Sejong University. Dr. Song received his B.S., M.S., and Ph.D. in Control and Instrumentation Engineering/Electrical Engineering from Seoul National University. His educational background laid the foundation for his expertise in navigation systems and control theory. Dr. Song's research focuses on navigation and sensor systems, control theory, and estimation theory with applications in unmanned systems. His work spans MEMS inertial sensor technologies, Kalman filtering techniques, optimal and robust control theories, and fault detection algorithms. His research has significant applications in unmanned aircraft systems, autonomous vehicles, robotics, and military intelligence systems. His recent publications (2023-2025) demonstrate continued innovation in navigation systems, with emphasis on fault tolerance, sensor fusion, and improved positioning accuracy in challenging environments. His work shows strong trends toward integrating multiple sensor modalities and developing robust algorithms for real-world navigation challenges. Best student paper award, NAECON2000 (IEEE, National Aerospace and Electronics Conference), USA, 2000 Ministry Award, 'IT R&D Engineer of the Year', Ministry of Information and Communication, Republic of Korea, 2005 Best Presentation Award, ICASS 2015, 2015 Best Paper Award, KIEE Conference, 2019 Distinguished Teaching Award, Sejong University, 2021 Distinguished Research Award, Sejong University, 2022 Distinguished Professor, Sejong University, 2024 Dr. Song has served as Editor-in-Chief for ICROS journal and holds editorial positions for multiple prestigious journals including the International Journal of Aeronautical and Space Sciences. He has been actively involved in numerous research grants and industry collaborations, including a recent academic-industrial partnership with Hanwha Systems. As Vice-President of The Institute of Control, Robotics and Systems (ICROS) and various other professional organizations, he plays a significant role in shaping research directions in his field. He leads the Intelligent Navigation and Control Systems Lab at Sejong University, where his team develops cutting-edge navigation sensors and systems, optimal controllers for autonomous systems, and embedded systems for reliable navigation and control. The lab's work has direct applications in unmanned aircraft systems, autonomous vehicles, robotics, and military intelligence systems.
He David Zhangمشاهده پروفایل
استادیار
- Computer Vision
- Robotics
- SLAM
- +۳ مورد دیگر
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)
Professor Ivan Andonovic is a senior academic in the Department of Electronic and Electrical Engineering at the University of Strathclyde, Faculty of Engineering. He is a key member of the Centre for Dynamic Intelligent Communications (CIDCOM) and serves on the board of CENSIS, the Innovation Centre for Sensor and Imaging Systems. He has co-founded two technology companies: Kamelian Ltd. and Silent Herdsman Ltd., the latter focusing on animal health through wireless sensor platforms. His research interests include broadband networks, optical communications, photonic switching, wireless sensor networks, and precision livestock farming. These are supported by extensive project leadership and co-investigator roles in major UK-funded initiatives such as FLORA-SAGE, Digital Dairy Chain, and DEFGRID. His work bridges academic innovation with industrial application, contributing to UN Sustainable Development Goals in sustainable agriculture and industry. The recent publications highlight a strong trend in sensor-based systems applied across diverse domains: from animal tracking and agricultural monitoring to infant development and autism research. These works integrate computer vision, machine learning, and embedded sensor networks, reflecting a multidisciplinary approach grounded in electrical engineering and applied informatics. Finalist, Herald Higher Education Awards - Outstanding Business Engagement in Universities (2022) Innovate UK KTP Engineering Excellence Award (2021) Strathclyde Team Medal for Innovation in Autism (2018) Member, Optical Society of America (2001) Prof. Andonovic has secured over £10 million in research funding and has been a co-investigator on numerous projects involving industry collaboration and knowledge transfer. He has held a Royal Society Industrial Fellowship and has served as Technical Programme Co-Chair for IEEE ICC07 and Topical Editor for IEEE Transactions on Communications. He mentors junior researchers and collaborates widely across engineering, biomedical sciences, and agriculture. He is actively involved in innovation ecosystems through Silent Herdsman Ltd. and CENSIS, and leads research teams focusing on sensor integration, data analytics, and intelligent communication systems. His lab work emphasizes real-world deployment of wireless sensor networks in both healthcare and agri-tech domains.
J.M.P. Geraedts is a Professor in the Faculty of Industrial Design Engineering at Delft University of Technology, specializing in Emerging Materials. His interdisciplinary work bridges design, engineering, and advanced manufacturing technologies. His research focuses on digital fabrication , 3D printing of functional systems , soft robotics , and structural electronics . He explores how novel materials and computational methods can enable next-generation smart products and human-robot interaction. His interests span from inductive power transfer to embedded sensors and computational design . The recent publications highlight a strong trend in integrating electronics directly into 3D-printed structures, advancing soft robotics control through learning, and reconstructing cultural artifacts digitally. His work lies at the intersection of mechatronics , design engineering , and emerging materials . Member of EISA Green Awards 2012-2013 He has supervised multiple student projects (8 listed), delivered keynotes on mechatronics and digital manufacturing, and engaged with the public through media discussions on robotics and industry 4.0. His activities include presentations at major forums such as EUROGRAPHICS and workshops on the convergence of hardware and software. He is involved in research groups focusing on digital fabrication , soft robotics , and design innovation , contributing to both academic and industrial advancements in smart manufacturing.
Kay Römer is Professor and Director of the Institute for Technical Informatics at Graz University of Technology, Austria. He previously held a professorship at the University of Lübeck, Germany, and was a senior researcher at ETH Zurich, where he obtained his doctorate in computer science in 2005. His research focuses on networked embedded systems, particularly in the domains of Wireless Sensor Networks, Internet of Things (IoT), and Cyber-Physical Systems. Key areas include wireless networking, operating systems, programming models, dependability, and deployment methodologies for large-scale embedded networks. The most recent publications reflect a consistent trend in dependable and scalable IoT systems, with emphasis on wireless protocols, fault tolerance, real-time operation, and system robustness. His work bridges theoretical innovation with practical deployment, often involving cross-layer design and energy efficiency. Associate Editor, IEEE Transactions on Mobile Computing Associate Editor, IEEE Transactions on Computers Program Co-Chair, ACM SenSys 2011 Program Co-Chair, ACM/IEEE IPSN 2013 Coordinator, EU FP7 FIRE Project RELYonIT Coordinator, TU Graz Excellence Project "Dependable Internet of Things" Kay Römer has advised multiple research teams and coordinated major international projects funded by the Swiss National Science Foundation, European Commission, German Science Foundation, German Federal Ministry of Education and Research, and the Austrian Federal Ministry of Science, Research, and Economy. He has delivered invited keynote talks and co-directed five international summer schools, demonstrating strong leadership in research dissemination and mentoring. He leads research activities within the Institute for Technical Informatics at TU Graz, focusing on dependable and secure IoT systems, with active collaborations across Europe and industry partners.
Professor Tughrul Arslan holds the Chair of Integrated Electronic Systems at the School of Engineering, University of Edinburgh . He leads the Embedded Wireless and Wearable Sensor Systems (EWireless) Group and co-founded sensewhere Ltd. and Sofant Technologies . His research spans reconfigurable architectures, low-power wireless systems, and biomedical RF sensing. Academic Background: BEng and PhD in Electronics Professional Affiliations: Senior Member IEEE, Fellow IET, Chartered Engineer His work focuses on smart wearable devices , indoor positioning systems , and AI-driven healthcare monitoring . Recent publications emphasize microwave imaging for dementia detection , edge AI accelerators , and non-invasive tremor monitoring . Key contributions include patented technologies like the Reconfigurable Instruction Cell Architecture (RICA) . Award-winning academic, he has supervised over 40 PhD students and authored 400+ peer-reviewed papers. His external roles include Chief Technology Officer at sensewhere , driving commercialization of indoor navigation solutions.
Igor Paprotnyمشاهده پروفایل
دانشیار
- MEMS/NEMS
- Robotics
- Sensor Technology
- +۵ مورد دیگر
Igor Paprotny is an Associate Professor at the Department of Electrical and Computer Engineering, University of Illinois at Chicago. As Faculty Research Director of the Nanotechnology Core Facility, he leads research in MEMS/NEMS, microscale robotics, and environmental sensing. PhD in Engineering Sciences (MEMS) from Dartmouth College, 2008 His research focuses on applying micro/nano-systems to airborne pathogen detection, microscale flight dynamics, photonic sensing, and physical computing paradigms. He has pioneered MEMS-based sensors for methane leak detection, coal mine safety, and real-time particulate monitoring. Recent publications highlight advancements in air-microfluidic circuits , carbon nanotube functionalization , and microscale robotics , reflecting interdisciplinary work at the intersection of Environmental Engineering , Biomedical Monitoring , and Wearable Sensor Technology . He directs the Micromechatronic Systems Laboratory (MSL) and the Air Microfluidic and Bio-surveillance Group (AMFBG) , with over 15 years of experience in MEMS design, energy harvesting, and distributed sensor networks.
- Biomedical Engineering
- Biosensors
- Microfluidics
- +۵ مورد دیگر
Dr. Orhan Erdem Haberal serves as a Lecturer in the Biomedical Engineering Program at Başkent University's Faculty of Engineering. His academic work focuses on cutting-edge biomedical technologies with applications in diagnostics, medical devices, and tissue engineering. With a strong publication record spanning over a decade, Dr. Haberal has established himself as an active researcher in Turkey's biomedical engineering community. Dr. Haberal's research interests primarily center around biomedical sensors, microfluidics, and nanotechnology applications in medicine. His work spans from developing point-of-care diagnostic devices like PCR microchips and QCM-based biosensors to exploring 3D bioprinting techniques and cardiovascular monitoring systems. His research demonstrates a strong interdisciplinary approach, bridging engineering principles with clinical applications, particularly in the areas of diagnostic technology development and biomaterials. Analysis of Dr. Haberal's recent publications reveals a consistent focus on practical biomedical solutions with immediate clinical relevance. His work shows particular strength in developing diagnostic technologies for point-of-care settings, with multiple publications on microfluidic PCR systems, biosensors for blood analysis, and pathogen detection devices. Additionally, his research extends into cardiovascular engineering with studies on oxygenator systems and pulsatile flow effects, as well as tissue engineering with work on angiogenesis and 3D bioprinting. Dr. Haberal actively contributes to academic education through teaching courses including Biomedical Engineering Introduction, Microcontrollers, System Physiology for Engineers, Modeling in Biological Systems, Electronics, Mathematical Physiology, Human Anatomy and Physiology, and Introduction to Biological Science. His teaching portfolio reflects the interdisciplinary nature of biomedical engineering, spanning both engineering fundamentals and biological sciences. Professional activities show Dr. Haberal's involvement with the Biomedical & Biotechnology R&D center, Biyotek Technology Development Center, and ilab Technology Research and Development Ltd. His work appears to have practical industry applications alongside academic contributions, as evidenced by the multiple projects and company affiliations mentioned in his profile.
Julia F. Christensenمشاهده پروفایل
پژوهشگر ارشد
- Emotion
- Movement expertise
- Dance
- +۹ مورد دیگر
Dr. Julia F. Christensen is a postdoctoral research fellow at the Warburg Institute, London, working with the B.I.A.S. project under Prof Manos Tsakiris, while maintaining an active affiliation with City St George's, University of London as an academic researcher. She is also an honorary member of University College London's Institute of Cognitive Neuroscience, reflecting her cross-institutional collaborations in cognitive neuroscience and psychology. Her educational background combines professional dance training with advanced neuroscience research, culminating in a PhD from the University of the Balearic Islands and University of Vienna. Her doctoral work investigated affective responses to expressive body movement, supervised by Professor Camilo Cela-Conde and Dr. Marcos Nadal. Dr. Christensen's research focuses on the cognitive and neural underpinnings of emotional expertise, particularly in dancers and artists. She examines how movement expertise modulates emotional perception, interoception, and sense of agency through behavioral, psychophysiological, and neuroimaging methods. Her work bridges dance science, moral psychology, and neuroethics, exploring topics from evolutionary functions of art to legal responsibility in emotional contexts. Analysis of her publications reveals strong interdisciplinary trends connecting emotion science with movement expertise, particularly in dance perception and agency modulation. Her research consistently demonstrates how specialized training alters neural processing of emotional stimuli, with significant contributions to understanding autism through interoceptive frameworks and exploring moral cognition through intentional binding paradigms. Her scientific recognition includes: Newton International Research Fellow (British Academy, 2015-2017) Dr. Christensen has secured competitive research funding from the British Academy (2015-2017) and Spanish Ministry of Science and Innovation (2010-2014). Her current collaborations include the B.I.A.S. project at the Warburg Institute and ongoing work with City St George's on emotion perception frameworks, building on previous affiliations with City University's Cognitive Neuroscience Research Unit and Autism Research Group. She is embedded in multiple research ecosystems including the Warburg Institute's dance movement library project, City St George's psychology department collaborations, and UCL's Institute of Cognitive Neuroscience networks, where she previously investigated sense of agency under Professor Patrick Haggard.
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