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Pietro ValdastriView profile

Professor

• Surgical Robotics
• Robotic Endoscopy
• Medical Robotics
• +5 more

Professor Pietro Valdastri is a Full Professor and Chair in Robotics & Autonomous Systems at the University of Leeds. He directs the Science and Technologies Of Robotics in Medicine (STORM) Lab, the Institute of Robotics, Autonomous Systems and Sensing (IRASS), and the Robotics at Leeds network. His expertise spans surgical robotics, robotic endoscopy, and magnetic manipulation, with a focus on developing soft magnetic surgical robots (SMSRs) for minimally invasive medical procedures. Valdastri holds a Laurea in Electronic Engineering (University of Pisa, 2001) and a PhD in Biomedical Engineering (Scuola Superiore Sant’Anna, 2006). He previously served as Assistant Professor at Scuola Superiore Sant’Anna (2006–2011) and Vanderbilt University (2011–2016) before joining Leeds in 2016. His research aims to leverage magnetic actuation for surgical navigation, with applications in cancer therapy and endoscopy. Key awards include the NSF CAREER Award (2015), ERC Consolidator Grant (2019), and KUKA Innovation Award (2019). He is a Royal Society Wolfson Research Fellow, IEEE Fellow, and editor for IEEE Robotics and Automation Letters. His work has been featured in major media outlets like the BBC, New Scientist, and WIRED. Valdastri has secured over £25M in grants from NSF, NIH, ERC, EU-H2020, and industry partnerships. He co-founded WinMedical srl (acquired in 2017) and Atlas Endoscopy Limited, advancing robotic colonoscopy platforms. Current research emphasizes autonomous robotic systems, magnetic tentacles for lung therapy, and patient-specific surgical tools.

Apostolos GeorgakisView profile

Associate Professor

• Biomedical Signal Processing
• Audio Engineering
• Electroglottography
• +7 more

Dr. Apostolos Georgakis is an Associate Professor in Electrical and Electronic Engineering at the School of Computing and Engineering, University of West London (UWL). He joined UWL in 2017 after serving at King’s College London’s Division of Engineering. His academic role involves teaching and research in engineering with a strong focus on signal processing and biomedical applications. University: University of West London School: School of Computing and Engineering Department: Department of Electrical and Electronic Engineering Academic Rank: Associate Professor Email: apostolos.georgakis@uwl.ac.uk Dr. Georgakis holds an MSc in Mathematics and Statistics and a PhD in Engineering. His research interests center on biomedical signal processing, audio engineering, and medical diagnostics using advanced signal analysis techniques. He has made significant contributions to the fields of electroglottography for vocal tract pathology detection and heart rate monitoring via tracheal audio signals. His work bridges engineering with healthcare applications, particularly in non-invasive monitoring and diagnostic systems. His recent publications (2022–2024) demonstrate a clear trend toward applying digital signal processing and machine learning methods to medical diagnostics. Topics include laryngeal pathology detection using MFCC/GTCC features, systematic reviews on electroglottography, and automatic heart rate estimation during sleep. Earlier works (2014–2015) focus on theoretical signal restoration and denoising techniques using fractional Fourier transforms and mask operations, showing a strong foundation in mathematical signal processing. A 2019 publication also highlights his interdisciplinary work in thermal engineering involving liquid desiccant systems. Dr. Georgakis teaches across multiple programs, including: MSc Electronic and Robotic Engineering BEng (Hons) Electrical and Electronic Engineering (with and without Foundation Year) BSc (Hons) Sound Engineering (with and without Foundation Year) BSc (Hons) Mathematics and Statistics (with and without Foundation Year) MSc Digital Audio Engineering PhD Engineering While no specific scientific awards are listed, his sustained publication record in high-impact journals such as Digital Signal Processing , Signal Processing , and MDPI Diagnostics reflects active research engagement. He collaborates with researchers internationally, particularly in biomedical signal analysis and veterinary monitoring. Dr. Georgakis advises postgraduate students and supervises PhD candidates in engineering disciplines, though specific student names are not listed. He has not received mention of external research grants in the provided text, but his involvement in applied research suggests potential grant-funded projects. His work in wireless acoustic sensors and medical diagnostics may involve future expansion into wearable health technologies and AI-driven diagnostic tools. There is no mention of a dedicated lab or research team in the provided text, but his research themes suggest potential affiliation with biomedical engineering or audio signal processing groups within the School of Computing and Engineering at UWL.

Yichuang SunView profile

Professor

• Wireless Communications
• 5G/6G Technologies
• RF Circuits and Systems
• +7 more

Yichuang Sun is a Professor of Communications and Electronics at the University of Hertfordshire, leading the Communications and Intelligent Systems Research Group and the Electrical and Electronic Engineering Department. He holds a PhD from the University of York (1996) and has over 450 peer-reviewed publications, 5 authored books, and 40+ supervised PhD students. His research focuses on wireless communications (5G/6G, RIS-aided systems), RF/microwave circuits, neuromorphic computing, and machine learning applications. He serves as Editor or Guest Editor for 12+ IEEE/IET journals and chairs technical committees for IEEE conferences. Notably ranked in the World's Top 2% Scientists since 2019, he also advises global institutions like Oxford and the Royal Academy of Engineering. Education: PhD in Electronics, University of York, UK (1996) Research Interests: Wireless/Mobile Communications and Networks RF and Microelectronic Circuits Neuromorphic Computing and Machine Learning Memristor-based Systems Secure and Energy-Efficient Communications Grants & Projects (selected): Advanced mmWave MIMO 4D Radar for Traffic Detection (2024–2027) Wireless Power Transfer for Implantable Medical Devices (2023–2025) RFID System for Sample Management (2021–present) Labs/Teams: Leads the Communications and Intelligent Systems Research Group, collaborating on 6G, neuromorphic hardware, and IoT systems.

Amit PujariView profile

Associate Professor

• Biomedical Engineering
• Neurorehabilitation Engineering
• Neuromodulation
• +5 more

Associate Professor Amit Pujari is a biomedical engineer and neuroscientist at the University of Hertfordshire, leading the Neu(RAL)² Laboratory. He holds an honorary position at the University of Aberdeen and is a Royal Academy of Engineering Industrial Fellow. His work focuses on developing non-invasive neuromodulatory devices for stroke and spinal injury rehabilitation. Education: PhD in Biomedical Engineering, University of Aberdeen (2016) MSc in Biomedical Engineering, University of Strathclyde (2007) BE in Instrumentation & Control Engineering, Pune University (2003) Research Interests: Optimizing neuromodulatory stimuli (vibrotactile/electrical) for rehabilitation, neurophysiological basis of vibration therapy, and assistive technologies. His lab is equipped with advanced tools like high-density EMG systems, TMSi devices, and custom vibration stimulators. Awards: Academy of Medical Sciences’ Top 25 Emerging Leaders (2023) British Science Association Award Lecture (2022) Winston Churchill Memorial Trust Fellowship (2017) Grants/Projects: VECTOR: Randomized controlled trial for Crohn’s disease rehabilitation (2024–2027) SPASMS: Wearable sensor technology for spasticity management (2023–2025) User-led design of neurotechnologies for stroke survivors (2023–2025) Labs: Neu(RAL)² Laboratory focuses on neural systems rehabilitation, housing state-of-the-art equipment for EMG/EEG, TMS, and custom devices.

Claudia PagliariView profile

Senior Lecturer

• Digital Health
• eHealth
• Medical Informatics
• +5 more

Claudia Pagliari is a Senior Lecturer in Primary Care and Informatics at the University of Edinburgh's Usher Institute, within the College of Medicine and Veterinary Medicine. She co-directs the MSc in Global eHealth and leads the NHS Digital Academy, while contributing to global health ethics advisory roles. Her work spans digital health, data science, and policy studies. Education : First-class Psychology degree (University of Ulster), PhD in Human Intelligence/Data Science (University of Edinburgh). Research Focus : Claudia directs the Interdisciplinary Research Group in eHealth, examining digital health ethics, governance, and equity. Her studies include contact-tracing apps, empathic robots, and social media misinformation, with cross-cutting interests in low- and high-income countries. Scientific Awards : Elected Honorary Fellow of the Royal College of Physicians of Edinburgh (2012). Chair of the National Expert Group in Digital Ethics (Scotland, 2020). Member of WHO Roster of Experts in Digital Health (2019). Chair of Scientific Board for NHS App Evaluation (2021). Advisory & Leadership : She advises the Scottish Government and WHO, contributes to national review boards, and serves as External Examiner for health informatics programs. Her teaching includes the Data Ethics MOOC and the Data Controversies lecture series.

Thomas KennyView profile

Professor

• Microengineering
• Microsystems Technology
• Physics
• +3 more

Thomas Kenny is the Senior Associate Dean for Education and Student Affairs and holds the Richard W. Weiland Professorship in the School of Engineering at Stanford University. His research focuses on micromechanical structures, utilizing silicon wafer fabrication techniques to develop devices like accelerometers, infrared detectors, and force-sensing cantilevers. Education: PhD in Physics, UC Berkeley (1989) His work spans applications in integrated packaging, inertial navigation, bio-molecule experiments, and bio-analytical instruments, driven by multidisciplinary collaborations with departments and industry. Contact: (650) 725-9210 | Mail Code 3030 | MEMS Lab Website

Hongyu AnView profile

Assistant Professor

• Neuromorphic Computing
• Energy-efficient Neuromorphic Electronic Circuit Design
• Artificial Intelligence
• +8 more

Hongyu An is an Assistant Professor in the Department of Electrical and Computer Engineering at Michigan Technological University. He holds affiliations with the Computer Science and Biomedical Engineering departments. Dr. An leads the BrainX Lab (Neuromorphic Robotics Lab and Neuromorphic Brain-Machine Interface Lab) and collaborates with the Institute of Computing and Cybersystems (ICC). He earned his PhD, MS, and BS in Electrical Engineering from Virginia Tech, Missouri University of Science and Technology, and Shenyang University of Technology respectively. Research Interests: Dr. An focuses on neuromorphic computing and its applications in AI hardware , robotics , and medical devices . His work spans memristor-based circuits , spiking neural networks , and energy-efficient AI systems . Key projects include associative learning in neuromorphic robots , neural prosthetics for memory restoration , and power-efficient adaptive deep brain stimulation systems . Publications & Research: With over 15 significant publications since 2016, Dr. An's work demonstrates expertise in 3D neuromorphic IC design , memristor reliability , and self-learning robotic systems . His research has appeared in journals like IEEE Transactions on Computing Aided Design and Frontiers in Computational Neuroscience. Awards & Funding: Bill and LaRue Blackwell Dissertation Award NSF CRII and ERI Awards USAF VFRP Fellowship Best Paper Nomination (2017 ISQED) Students & Collaborations: Dr. An mentors PhD students Tianze Liu and Md Abu Bakr Siddique, undergraduate Lucas Haddad, and volunteers like Vinay Kumar Pillalamarri. His team collaborates with Dr. Yan Zhang on neuromorphic brain-machine interfaces . The lab operates advanced infrastructure including LabLynx wireless neural recording systems and Intel Loihi-2 neuromorphic servers .

Martin BrookeView profile

Associate Professor

• Analog Circuits
• RF Circuits
• Optoelectronic Circuits
• +4 more

Martin Brooke is an Associate Professor of Electrical and Computer Engineering at Duke University's Pratt School of Engineering. He earned his B.E. in Electrical Engineering (First Class Honors) from Auckland University, New Zealand (1981), followed by M.S. (1984) and Ph.D. (1988) degrees from the University of Southern California. His career includes positions at Georgia Institute of Technology (1988-2003) before joining Duke. Dr. Brooke's research spans analog/RF/optoelectronic circuits, sensor interfaces, and deployable sensor systems with applications in ocean engineering and biomedical imaging. He leads innovative projects including ocean pH monitoring sensors and X Prize seafloor mapping initiatives, focusing on solving 'open-ended problems' through interdisciplinary approaches combining engineering with marine science. His extensive publication record (160+ articles) demonstrates consistent focus on sensor technologies, integrated circuits, and engineering education. Recent works emphasize biomedical applications (cancer margin assessment), environmental monitoring (ocean sensors), and educational innovations (remote microelectronics labs), showing a trend toward multidisciplinary solutions for real-world challenges. Awards and Honors: Capers and Marion McDonald Award for Teaching/Research Excellence (2022) Georgia Tech Outstanding Thesis Advisor Award (2003) IEEE Midwest Symposium Best Paper Award (1992) NSF Research Initiation Award (1990) Analog Devices Career Development Award (1988-1993) He has graduated 23 PhD students and mentors teams for major challenges like the X Prize ocean robotics competition. His research group develops deployable sensor systems with funding from NSF, X Prize Foundation, and industry partners. Current projects include drone-based ocean floor mapping systems and advanced pH sensors for marine ecosystem monitoring. Dr. Brooke leads the Brooke Research Group focusing on analog/RF systems and sensor integration. The team collaborates with Duke Marine Lab on ocean engineering initiatives and maintains eight U.S. patents. Future work emphasizes scalable sensor networks for environmental monitoring and biomedical diagnostics.

• Machine Learning
• Computational Biology
• Medical Informatics
• +9 more

Günter Klambauer is a Professor at the Institute for Machine Learning , Johannes Kepler University Linz, and leads the LIT Artificial Intelligence Lab in Austria. His research bridges artificial intelligence with life sciences , focusing on deep learning applications in retinal imaging , drug discovery , and hydrological modeling . Affiliation: JKU Institute for Machine Learning & LIT Artificial Intelligence Lab Key Research Areas: Medical Imaging AI, Biological Sequence Modeling, Generative Models for Molecules, Time-Series Forecasting His recent publications highlight extended LSTM architectures (xLSTM) for biological sequence modeling, contrastive learning in retinal imaging, and in-context learning for low-data drug discovery. He has pioneered frameworks like TiRex for zero-shot forecasting and LaM-SLidE for spatial dynamical systems. Scientific Awards: Austrian Life Science Award (2012) Award of Excellence (2014) ELLIS Society Scholar (2020) Director, ELLIS Machine Learning for Molecules Discovery Program (2023) Professor Klambauer collaborates extensively on AI-driven biomedical projects , including retinal image analysis and antibody design, while advancing foundational neural network architectures for diverse domains from healthcare to climate modeling.

Juan Antonio Corrales RamónView profile

Research Fellow

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

Juan Antonio Corrales Ramón is a Research Fellow at the University of Santiago de Compostela's CiTIUS laboratory under the prestigious Beatriz Galindo program. Previously, he served as an Associate Professor at Sigma Clermont Engineering School (2014-2020) and conducted research at UPMC/ISIR in France. His academic credentials include a PhD in Automatic Control and Robotics (2011) and a Computer Engineering degree (2005) from the University of Alicante. Dr. Corrales' research centers on robotics with specialized interests in: Human-robot physical interaction for industrial applications Deformable object manipulation and control theory Tactile sensing technologies and sensor fusion Robotic grasping and in-hand manipulation Multi-robot coordination systems His recent publications demonstrate strong focus on adaptive control systems for deformable objects, tactile sensor development, and human-robot collaboration frameworks. He has participated in significant EU projects including: H2020 SoftManBot (soft material handling) H2020 Bots2Rec (recycling robotics) FUI Aerostrip (aerospace applications) Sudoe Commandia (service robotics) Honors include competitive fellowships: FPU Program Fellowship (Spanish Ministry of Education) Beatriz Galindo Program Fellowship (research excellence) At CiTIUS laboratory, he contributes to advanced robotics research with applications in industrial automation, healthcare, and agricultural robotics.

Khalil EsperView profile

Researcher

• Verification and Model Checking
• Energy Optimization
• Real-time Systems
• +4 more

Khalil Esper is a Researcher at the Department of Computer Science, Faculty of Engineering, Friedrich-Alexander-University Erlangen-Nuremberg (FAU), where he works at the Chair of Computer Science 12 (Hardware-Software Co-Design). His research focuses on verification, energy optimization, and runtime requirement enforcement in embedded systems and MPSoCs. His educational background includes: Informatics Engineering from Aleppo University, Syria (2010-2015) European Master in Embedded Computing Systems (EMECS) from Rhineland-Palatinate University of Technology Kaiserslautern-Landau (Germany) and Norwegian University of Science and Technology (Norway) (2017-2019) Esper's research interests center around verification and model checking, energy optimization on MPSoC, real-time systems and embedded systems, and autonomic computing. His work particularly focuses on runtime requirement enforcement mechanisms for non-functional properties in multi-processor systems-on-chip, with applications extending to medical devices and human-robot interaction systems. He has developed approaches using finite state machines, reinforcement learning, and evolutionary algorithms to ensure system properties are maintained during execution. His publication record shows a strong trend toward applying formal methods and runtime enforcement techniques to increasingly complex systems, with recent work expanding into safety-critical applications like orthoses and human-robot interaction. The interdisciplinary nature of his research bridges computer science, embedded systems engineering, and biomedical applications. Esper has supervised multiple theses including: Sascha H.: Runtime Requirement Enforcement of Non-Functional Requirements on MPSoCs Using Fuzzy Logic (2022) Iana S.: Feedback-Based Control of Non-functional Program Execution Properties on Linux (2023) Philipp L.: Runtime Requirement Enforcement of Functional and Non-Functional Requirements of a Knee Orthosis Based on a Digital Twin (2024) Avinash N.: Runtime Requirement Enforcement of Safety Properties of an Ankle Orthosis Based on a Digital Twin (2024) Zhiyi T.: Generation of Environment FSMs Using Machine Learning Techniques (2025) Moustafa A.: Runtime Requirement Enforcement of Safety Properties of Human-Robot Interaction Based on a Digital Twin (2025) Florian K.: Runtime Requirement Enforcement of Safety Properties of Human-Robot Interaction (2025) He has been actively teaching courses on Approximate Computing and Embedded Systems since the 2021/2022 academic year, demonstrating his commitment to academic instruction alongside his research activities. Esper is involved in the InvasIC research project, part of the DFG Transregional Collaborative Research Center 89 on Invasive Computing, which explores novel approaches to resource management in parallel computing systems.

• Human-Computer Interaction
• Digital Transformation
• User Experience Design
• +6 more

Professor Maurizio Caon is a faculty member at HES-SO (University of Applied Sciences and Arts Western Switzerland). His primary research areas include Human-Computer Interaction, Digital Transformation, and User Experience Design, with a focus on aging populations and health technology. He leads the HumanTech Institute and contributes to projects like NESTORE COACH and PEGASO, which develop virtual coaching systems for elderly well-being and adolescent health behavior change. His research explores tangible interfaces for e-coaching, gestural interaction design for professional cyclists, and data privacy mechanisms using pictograms. While his publications span topics from AI implementation in HRM to posthumanist perspectives on enhancement, his core work centers on applying digital technologies to improve health outcomes across age groups. He collaborates with institutions like Politecnico di Milano and contributes to European Union-funded initiatives. Professor Caon's recent work examines conversational agents for life-course health interventions, virtual reality exergame design, and wearables' impact on body awareness. His projects integrate behavioral change theories with IoT architectures and human-centered design principles. Despite active research engagement, no scientific awards are explicitly mentioned in the provided texts.

Jan MehnerView profile

Professor

• Microsystems (MEMS)
• MEMS Design
• Modeling and Simulation of Coupled Fields
• +7 more

Professor Jan Mehner is a faculty member at Chemnitz University of Technology, where he holds the Chair of Microsystems and Medical Technology within the Faculty of Electrical Engineering and Information Technology. His work focuses on advanced modeling, simulation, and design automation of microelectromechanical systems (MEMS) with applications across industrial, automotive, and biomedical domains. His research expertise spans MEMS design , coupled field simulations , finite and boundary element methods (FEM/BEM) , and reduced order modeling (ROM) . These methodologies enable efficient development and optimization of complex microsystems. Applications of his work include structural health monitoring, sensor integration, and smart systems for automation and medical technology. Prof. Mehner is actively contributing to the academic and research community, recently recognized through membership in the Saxon Academy of Sciences. He is involved in cross-disciplinary initiatives such as the Robotic Institute Germany (RIG) at TU Chemnitz, demonstrating strong engagement in emerging technological frontiers. He advises students and leads a research group focused on microsystem innovation. While specific grant details are not listed, his participation in DFG-funded research groups like FOR 5242 suggests active involvement in nationally supported scientific projects. The laboratory under his leadership, the Professorship of Microsystems and Medical Technology, develops cutting-edge solutions in sensor-integrated materials and intelligent microsystems, contributing to advancements in smart manufacturing and medical devices.

Joy HirschView profile

Professor

• Neuroscience
• Social Neuroscience
• Neuroimaging
• +6 more

Joy Hirsch is a Professor of Psychiatry, Comparative Medicine, and Neuroscience at the Yale School of Medicine. She directs the Brain Function Laboratory, which focuses on the neural mechanisms of social interactions using functional near-infrared spectroscopy (fNIRS). Her work bridges single-brain and multi-brain neuroimaging to explore dynamic social behaviors under natural conditions. Education: PhD, Columbia University (1977) MA, Portland State University (1970) BS, University of Oregon (1967) Research Interests: Dr. Hirsch investigates the 'neuroscience of two,' emphasizing cross-brain neural synchrony and the 'interactive brain hypothesis.' Her lab develops multimodal technologies to study face-to-face interactions, focusing on conflict, cooperation, nonverbal cues, and social anxiety. Key themes include autism research, emotional contagion, and the impact of virtual communication on brain activity. Scientific Trends: Her recent articles highlight applications of fNIRS in psychiatric disorders, machine learning for neural diagnostics, and comparative studies of in-person vs. virtual interactions. Collaborations span interdisciplinary domains, including cognitive modeling, neuroimaging, and behavioral analysis. Scientific Awards: George Gamow Science Award (2009) Leah M Lowenstein Teaching Award (1990) Advising and Grants: Dr. Hirsch mentors students in social neuroscience and neuroimaging. She leads clinical trials, including Neural Mechanisms for Social Interactions and Eye Contact in ASD (HIC ID 1512016895), with primary completion in 2026. Lab and Teams: The Brain Function Laboratory, established at Yale in 2013, continues her legacy from Columbia's fMRI Research Center. The lab explores ecological validity in social neuroscience using head-mounted cameras, physiological sensors, and multimodal data synchronization.

• Turbulent Flow Modeling
• Wind Energy
• Renewable Energy Integration
• +8 more

Luciano Castillo is a Professor at the School of Mechanical Engineering within the College of Engineering at Purdue University . His research spans turbulent boundary layers, wind energy, renewable energy integration, and bio-inspired engineering, with a focus on societal impacts such as energy-water nexus and social equality. Turbulent Flow Modeling with emphasis on initial conditions and micro-surfaces Wind Energy optimization and boundary layer interactions Renewable Energy Integration with water and thermal storage Biomedical Engineering applications in respiratory flow studies His recent publications explore robotics for classroom safety, mangrove-inspired erosion prevention, and renewable-powered desalination. Awards include the Alumni Distinguished Career Award (2023), ASME Fellow (2013), and multiple best paper awards. He leads initiatives like the US-Mexico Energy Corridor and contributes to interdisciplinary labs focusing on energy and societal challenges.