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Taekwang JangView profile

Associate Professor

• Analog and Mixed-Signal Circuits
• Energy-Efficient Systems
• Wireless Sensor Networks
• +3 more

Prof. Taekwang Jang is an Associate Professor at the Department of Information Technology and Electrical Engineering, ETH Zürich. He leads the Energy Efficient Circuits and IoT Systems Group, focusing on analog and mixed-signal circuits for energy-constrained applications such as wireless sensor nodes and biomedical electronics. His research includes sensor interfaces, energy harvesters, power converters, and communication systems. He holds 15 patents and has authored over 80 peer-reviewed publications. Key awards include the 2024 IEEE Solid-State Circuits Society New Frontier Award and the SNSF Starting Grant. Educations: B.S. and M.S. in Electrical Engineering, KAIST (2006, 2008) Ph.D. in Electrical Engineering, University of Michigan (2017) Affiliations: Chair of IEEE Solid-State Circuits Society, Switzerland Chapter Associate Editor for Journal of Solid-State Circuits (JSSC) Research Interests: His work spans energy-efficient integrated circuits, biomedical interfaces, and IoT systems. Notable contributions include low-power keyword spotting ICs, ultra-low-noise amplifiers, and neural stimulation systems. He emphasizes practical applications in healthcare and wearable devices. Awards: 2024 IEEE Solid-State Circuits Society Distinguished Lecturer 2022 IEEE ISSCC Jan Van Vessem Award 2009 IEEE CAS Guillemin-Cauer Best Paper Award Advising & Grants: Supervises a team of researchers and has secured grants including the SNSF Starting Grant. His lab collaborates with institutions like the Competence Center for Rehabilitation Engineering and Science. Labs & Teams: Leads the Energy-Efficient Circuits and Intelligent Systems group at ETH Zurich, focusing on interdisciplinary projects at the intersection of circuits, systems, and biomedical engineering.

Matthew LeineweberView profile

Assistant Professor

• Biomedical Engineering
• Medical Prosthetics and Orthotics
• Mobility-Assistive Technology
• +5 more

Matthew Leineweber is an Assistant Professor of Biomedical Engineering at San José State University. He holds a B.S. in Mechanical Engineering from the University of Portland and M.S. and Ph.D. degrees from Cornell University. His research focuses on mobility-assistive technologies, biofeedback systems for prosthetics, and computational modeling of gait mechanics. Education: B.S., Mechanical Engineering, University of Portland M.S., Mechanical Engineering, Cornell University Ph.D., Mechanical Engineering, Cornell University Research Interests: Dr. Leineweber designs and evaluates mobility aids, investigates biofeedback mechanisms for lower-limb prostheses, and develops computational models to understand prosthetic gait dynamics. His work integrates biomechanical principles with advanced sensor technologies to improve assistive devices for individuals with mobility impairments. Awards and Honors: MAE Excellence in Teaching Award (Cornell University) NSF GRFP Honorable Mention MAE Outstanding Service Award (Cornell University) University Scholar (University of Portland) Teaching and Advising: He teaches courses in Medical Imaging for Engineers, Numerical Methods in Biomedical Engineering, and Biomechanics. His advising focuses on biomedical engineering students exploring prosthetics, orthotics, and rehabilitation technologies. Labs and Collaborations: His research involves collaborations with institutions like Holland Bloorview Kids Rehab Hospital (Toronto, Canada), where he previously served as a Post-doctoral Scholar. His lab focuses on translating biomechanical insights into practical clinical solutions for mobility challenges.

• Human-Computer Interaction
• Posthumanism
• Entanglement HCI
• +13 more

Christopher Frauenberger is a Professor of Human-Computer Interaction at the IT University of Linz . His research bridges philosophy and design to explore relationships between humans and digital technologies, focusing on Entanglement HCI and PANDORA philosophy circle . He actively engages with neurodiverse groups , particularly autistic children, and examines ethics in design through roles like ACM SIGCHI Ethics Board and Interdisciplinary Transformation University affiliations. Education : PhD in Human-Computer Interaction Research Areas : Participatory Design, Assistive Technologies, Social Play, Ethics in HCI His recent work explores diversity computing and inclusive design spaces , emphasizing relational agency and performative perspectives . Publications address smart technologies for children , critical design methodologies , and value-driven innovation . Supervisions include doctoral work on post-project toolkits and value-driven meeting rooms . He advocates for posthumanist design and critical reflections on technology's societal impact.

Nicole GrobertView profile

Professor

• Nanomaterials
• Hierarchical nanostructures
• Nanoparticles
• +7 more

Nicole Grobert is Professor of Nanomaterials in the Department of Materials at the University of Oxford, holding this position since 2010. She also serves as an Ordinary Fellow at Corpus Christi College, Oxford (since 2012) and as Visiting Professor at the Bio-Nano Electronics Research Centre, Toyo University, Japan (since 2007). Her research focuses on the design and manufacturing of specialty nanomaterials, with significant breakthroughs in controlled production techniques that have led to multiple proof-of-concept projects. Her research spans several key areas: Hierarchical nanostructures and their assembly Nanoparticle synthesis and characterization Carbon nanotubes and 2D materials development Composite materials with enhanced properties Thermal management applications of nanomaterials Energy applications of advanced materials Professor Grobert's publication record demonstrates strong translational research, with recent work emphasizing industrial applications through her Royal Society Industry Fellowship at Williams Advanced Engineering. Her articles show consistent focus on scalable manufacturing techniques, thermal management solutions, and energy applications, reflecting her successful bridging of fundamental science and practical implementation. Her scientific achievements have been recognized with numerous prestigious awards: Chief Scientific Advisor to the European Commission (2018) Fellow of the Royal Society of Chemistry and Institute of Materials, Minerals and Mining (2018) Young Scientist at the World Economic Forum (2013) ERC Starting Grant and multiple Proof of Concept Grants International Carbon Pergamon Prize for her doctoral thesis Professor Grobert maintains significant involvement in science policy, serving on high-level advisory committees including the World Economic Forum Future Technology Pioneers Programme Committee, No 10 Round Table on Advanced Materials, Ministerial Nanotechnology Committee, and various Royal Society panels. She has spoken twice at the House of Lords Science and Technology Select Committee and served as Vice-President of the British Carbon Group.

Chaudret BrunoView profile

Research Professor

• Organometallic Chemistry
• Nanoparticles
• Magnetic Nanostructures
• +4 more

Bruno Chaudret is a Research Professor at INSA-Toulouse, France, and a member of the French Academy of Sciences since 2005. He serves as Director of the Laboratoire de Physique et Chimie des Nano-Objets (UMR 5215) since 2011 and has held leadership roles in CNRS and IFPEN. PhD, Imperial College London (1977) Doctorat d'État, Université Paul Sabatier Toulouse (1979) His research bridges organometallic chemistry and nanomaterials , focusing on: Magnetic nanostructures Catalysis via C-H bond activation Dihydrogen complexes Self-assembly of nanoparticles into superlattices Gas sensor materials His scientific work spans nanoparticle synthesis , magnetic properties , and catalytic applications , with significant contributions to controlled nanoparticle shapes and assemblies. Notable scientific awards include: Coordination Chemistry Award, French Chemical Society (1982) CNRS Silver Medal (1997) Geoffrey Wilkinson Prize, Royal Society of Chemistry (2008) Grand Prix Pierre Süe, SCF (2010) He has supervised 36 PhD students and 26 Post-Doc fellows , while contributing to 16 patents and 370+ refereed publications . His work extends to industrial applications through licencing.

• Low-power Integrated Circuits
• Very Large Scale Integration (VLSI) Circuit Design
• Sensors and Data Acquisition Systems
• +8 more

Yusuf Leblebici is a Turkish academic and current President of Sabanci University (2018-present), reappointed in December 2022. He previously served as a Chair Professor and Director of the Microelectronic Systems Laboratory at EPFL, Switzerland (2002-2018), and held academic roles at Worcester Polytechnic Institute (1997-1999), Istanbul Technical University (1993-1997), and the University of Illinois at Urbana-Champaign (1991-2000). His career spans microelectronics, VLSI design, and neuromorphic systems. BSc and MSc in Electrical Engineering from Istanbul Technical University (1984, 1986) PhD in Electrical and Computer Engineering from the University of Illinois at Urbana-Champaign (1990) His research focuses on low-power integrated circuits , VLSI design , sensor interfaces , semiconductor modeling , and neuromorphic computing . He has co-authored over 400 scientific articles and seven books, including two internationally acclaimed textbooks. Scientific Awards : 2020 ECE Distinguished Alumni Award (UIUC) 2009 IEEE Fellow 2009 IEEE Distinguished Lecturer 1999 WPI Satin Distinguished Fellow Award 1995 Turkish TUBITAK Young Investigator Award He has graduated 58 PhD students and over 100 MSc students, and played a pivotal role in establishing Sabanci University's Microelectronics Program (1999-2002) and directing EPFL's Microelectronic Systems Laboratory (2002-2018). As Sabanci University President, he has enhanced global visibility, attracted international talent, and strengthened global collaborations.

Quanxi JiaView profile

Professor

• Materials Science
• Electronic Materials
• Energy Materials
• +4 more

Quanxi Jia is a SUNY Distinguished Professor, Empire Innovation Professor, and National Grid Professor of Materials Research at the University at Buffalo. He holds appointments in the Department of Materials Design and Innovation within the School of Engineering and Applied Sciences and serves as Scientific Director of the New York State Center of Excellence in Materials Informatics (CMI). Education: PhD in Electrical and Computer Engineering, University at Buffalo, 1991 MS in Electronic Engineering, Jiaotong University, Xian, China, 1985 BS in Electronic Engineering, Jiaotong University, Xian, China, 1982 Research Focus: Jia's work centers on advanced electronic and energy materials, particularly epitaxial thin films and heterostructures. His research investigates processing-structure-property relationships, monolithic integration of functional materials, and superconductors for quantum/energy applications. Key methodologies include pulsed laser deposition and polymer-assisted techniques, with emphasis on oxide heterostructures , memristive devices , and multiferroic systems for next-generation electronics. Publication Trends: Recent publications (2023-2025) reveal dominant focus on neuromorphic computing via resistive switching devices (58% of sampled works), superconducting thin films for quantum applications (20%), and strain-engineered oxide heterostructures (22%). His group pioneers HfO 2 -based artificial neurons, NbN superconducting films on CMOS platforms, and multiferroic membranes, demonstrating strong industry-academia translation potential. Scientific Recognition: Fellow of Los Alamos National Laboratory Fellow of Materials Research Society (MRS) Fellow of American Physical Society (APS) Fellow of American Ceramic Society (ACerS) Fellow of AAAS Fellow of IEEE Fellow of National Academy of Inventors (NAI) Leadership & Infrastructure: As CMI Scientific Director, Jia oversees New York's flagship materials informatics initiative integrating AI with experimental materials science. His prior directorship of DOE's Center for Integrated Nanotechnologies (Los Alamos/Sandia) established expertise in national lab collaboration. The group maintains 50+ U.S. patents and 500+ publications, with current work targeting quantum device integration and sustainable neuromorphic hardware. Research Ecosystem: The CMI hub connects Jia's team with industry partners (including National Grid) and national labs, facilitating rapid prototyping of energy materials. Current thrusts include machine learning-guided ferroelectric design, CMOS-compatible superconductors, and recyclable perovskite sensors, positioning the group at the semiconductor-energy nexus.

Ashwin RamView profile

Researcher

• Human-Computer Interaction
• Wearable Computing
• Augmented Reality
• +4 more

Ashwin Ram is a postdoctoral researcher at Saarland University's Human-Computer Interaction & Interactive Technologies Lab, under Prof. Jürgen Steimle. He holds a PhD in Computer Science from the National University of Singapore (NUS), advised by Prof. Shengdong Zhao, and a Bachelor's in Electronics Engineering from NIT Trichy. His research focuses on wearable augmented reality, smart glasses, and accessibility, leveraging cognitive and behavioral theories to design intelligent interfaces. Notable contributions include Mindful Moments (DIS '23, Honorable Mention), a mindfulness tool for smart glasses, and a quadruped robot guidance system for visually impaired individuals (CHI '24, Honorable Mention). He has served as an Associate Chair (AC) for UIST 2025 and CHI 2025. His work bridges HCI with wearable computing, exploring topics like video learning optimization (LSVP, IMWUT '21), sound source localization via neural networks (NCC '18), and accelerating Hawkes processes for event modeling (ICML '17 workshop). He collaborates internationally, including a research visit at UCL's Multi-Sensory Devices Group. Key achievements include 17 peer-reviewed publications (Google Scholar, ORCID: 0000-0003-1430-8770) and interdisciplinary projects like semantic floor map-based robot navigation. Beyond academia, he practices Carnatic music, plays guitar, and is fluent in Malayalam, Tamil, and English, with proficiency in French, German, and Hindi.

Xuan ZhangView profile

Associate Professor

• Artificial Intelligence Hardware
• Machine Vision Sensors
• Electronic Design Automation
• +3 more

Xuan Zhang serves as Associate Professor in Electrical and Computer Engineering at Northeastern University, leading the Sensory AI Lab since joining in January 2024. Her research bridges computer architecture, integrated circuits, and artificial intelligence to develop miniaturized AI systems for autonomous physical platforms. She earned her PhD in Electrical and Computer Engineering from Cornell University in 2012. Her educational background forms the foundation for her interdisciplinary work spanning hardware and software co-design. Dr. Zhang's research focuses on artificial intelligence hardware, machine vision sensors, and security for autonomous systems. She pioneers techniques for efficient in-sensor computing, analog circuit optimization via machine learning, and hardware-level privacy preservation. Her work addresses critical challenges in energy efficiency, robustness, and security for edge AI deployment, particularly in resource-constrained environments like medical devices and autonomous vehicles. Analysis of her 2023-2025 publications reveals three dominant trends: (1) hardware-accelerated privacy mechanisms for sensors, (2) machine learning-driven analog circuit design automation, and (3) energy-efficient architectures for neural network inference. These works consistently target real-world applications in healthcare, autonomous systems, and semiconductor design. Her accolades include the prestigious NSF CAREER Award (2020) and leadership in a $10 million federal semiconductor initiative. She contributes to national efforts in AI-powered chip design through the National Center for the Advancement of Semiconductor Technology. Dr. Zhang advises graduate researchers in the Sensory AI Lab, securing significant funding for projects spanning hardware security, in-sensor computing, and autonomous system assurance. Her lab collaborates with federal agencies and industry partners on cutting-edge semiconductor research. The Sensory AI Lab operates at the hardware-software interface, developing novel architectures for intelligent edge devices. Current projects include optical privacy preservation, robust analog design tools, and energy modeling frameworks for in-sensor visual computing systems.

• Fracture Mechanics
• Advanced Materials
• Nanocomposites
• +6 more

Professor Yiu-Wing Mai is a University Chair and Professor of Mechanical Engineering at The University of Sydney, affiliated with the School of Aerospace, Mechanical and Mechatronic Engineering. He is a globally recognized authority in fracture mechanics and advanced materials science, with contributions spanning four decades. His research focuses on nanocomposites, electromagnetic materials, and fracture mechanics models for composites and ceramics. Mai has pioneered methods for strengthening and toughening materials, including the crack-wake bridging model and essential work of fracture framework. His academic distinctions include Fellowships from the Royal Society, Australian Academy of Science, and Chinese Academy of Engineering. He has received prestigious awards such as the AA Griffith Medal (2016), AGM Michell Medal (2016), and ICCM21 Scala Award (2017). Mai’s work has practical applications in industries like green manufacturing and battery technology. Research interests include polymer nanocomposites, multifunctional materials (e.g., fire-retardant composites), and energy storage systems. His recent studies emphasize nanotechnology-driven advancements in Li-ion batteries and thermal management materials. Mai has authored over 500 publications and holds honorary professorships at institutions worldwide.

Ali MeimandiView profile

Researcher

• Analog circuit design
• Biomedical circuits and systems
• Ultra-low-power integrated circuits
• +4 more

Ali Meimandi is a Doctoral Assistant and candidate in the Doctoral Program in Microsystems and Microelectronics at École Polytechnique Fédérale de Lausanne (EPFL), Switzerland. He conducts research in the BioCMOS Interfaces (BCI) Laboratory within the Institute of Electrical Engineering and Microengineering, School of Engineering, focusing on ultralow-power biomedical integrated circuits. His educational background includes: M.Sc. in Electronics Engineering from Politecnico di Milano (2022) B.Sc. in Electrical Engineering (Electronics) from Amirkabir University of Technology (2018) Meimandi's research centers on designing ultralow power and ultralow area analog/mixed-signal ICs for brain monitoring applications. His expertise spans biosensors, neural prosthesis, and miniaturized CMOS circuits, with emphasis on developing innovative biomedical systems that bridge electrical engineering with neuroscience. His work targets practical implementations for implantable and wearable health monitoring technologies. His publication record shows consistent advancement in miniaturized circuit design for biomedical applications, particularly in brain monitoring, sweat analysis, and hydration tracking systems. These works demonstrate his dual expertise in analog circuit design and biological interface implementation. Key recognition includes: 2024 IEEE Sensors Letters Best Paper Award for 'Flexible Sensor and Readout Circuitry for Continuous Ion Sensing in Sweat' As a Teaching Assistant for Bio-nano-chip design (EE-517) and Analog circuits for biochip (EE-518), Meimandi contributes to EPFL's educational mission while advancing his research in active Bio/CMOS interfaces. His work in the BCI Laboratory focuses on heterogeneous integration of nanostructures for next-generation biosensors. The BioCMOS Interfaces Laboratory provides an interdisciplinary environment where Meimandi develops novel electronic-biological interfaces, with applications ranging from neural prosthetics to continuous health monitoring systems through innovative circuit architectures.

• Nanotechnology
• Semiconductor Devices
• RF Circuits
• +3 more

Xiuling Li is the Donald Bigger Willett Professor in Engineering at the University of Illinois at Urbana-Champaign, holding appointments in the Department of Electrical and Computer Engineering and serving as Interim Director of the Holonyak Micro and Nanotechnology Laboratory. Her research focuses on semiconductor nanostructures and devices. Her work spans nanomaterials, RF/microwave circuits, and semiconductor fabrication. Key interests include nanowire growth, self-rolled membrane nanotechnology, and metal-assisted chemical etching. These innovations enable miniaturized electronics and novel device architectures. Li's recent articles demonstrate advancements in 3D nanofabrication, wide-bandgap semiconductors, and heterogeneous integration. Her group consistently publishes in high-impact journals like ACS Nano and Nature Electronics. IEEE Fellow (2017) APS Fellow (2018) OSA Fellow (2019) National Academy of Inventors Fellow (2020) NSF CAREER Award She leads substantial research initiatives including NSF and DARPA projects, advising doctoral students in nanofabrication and device physics. Her laboratory develops cutting-edge semiconductor processes and characterization techniques.

• Biomedical Engineering
• MEMS Technology
• Medical Diagnostics
• +3 more

Niclas Roxhed is a Professor at KTH Royal Institute of Technology, leading the Biomedical Microsystems team in the Division of Micro and Nanosystems. He holds affiliations with MIT's Koch Institute and directs MedTechLabs, a KTH-Karolinska Institutet-Region Stockholm collaboration. His research focuses on medical diagnostics sensors, MEMS-based drug delivery, and sampling systems. Roxhed has founded seven companies, authored over 150 papers, and holds 40+ patents. Education: M.Sc. (2003) and Ph.D. (2007) in Microsystem Technology from KTH. He teaches courses in Microsystem Technology and supervises degree projects in Electrical Engineering and Engineering Physics. Research Interests: Develops wearable and minimally invasive medical devices, including microneedle patches, aerosol drug delivery systems, and lab-on-a-chip technologies. His work spans environmental monitoring (plant sap analysis) to endovascular and neural implant technologies. Key Contributions: Pioneered dust-sized MEMS spray chips for lung drug delivery, self-sealing inhaler nozzles, and home-sampled dried blood spot diagnostics. His labs emphasize translational research, bridging microengineering with clinical applications. Grants & Teams: Leads MedTechLabs, a multidisciplinary center advancing medical technology. His teams collaborate internationally, contributing to IEEE MEMS conferences and editorial roles in journals like the IEEE Journal of MicroElectroMechanical Systems.

• Digital Communication
• Science and Technology Studies
• Augmented Reality
• +3 more

Luke Heemsbergen is a Senior Lecturer in Communication at Deakin University's School of Communication and Creative Arts and the Alfred Deakin Institute for Citizenship and Globalisation. His research explores the intersection of digital technologies and societal power structures, focusing on how emerging media reshape political communication, human-computer interaction, and cultural practices. He co-leads the Immersive Realities Theme at Deakin Motion Lab and coordinates the Critical Digital Interfaces and Infrastructures research group. Research interests include: Digital media's role in political engagement and activism Augmented/extended reality as tools for environmental and health communication Algorithmic governance in institutional contexts Critical approaches to synthetic media and AI creativity His recent publications demonstrate sustained focus on platform politics, with 9/15 articles analyzing social media's role in elections, activism, and misinformation. Methodologically, he employs innovative digital approaches like 'backend-in' platform analysis and multimodal data visualization. Thematically, articles cluster around: 1) Pandemic technologies and surveillance, 2) Algorithmic management in institutions, and 3) Immersive media design. Supervision includes 8 doctoral students working on projects like embodied human-machine interfaces, EdTech supply chains, and surveillance law reform. Funded projects include: Defining Communication in a Digital Era (ACCAN grant) Techno-Totalitarianism vs. Disruptive Technologies (Gerda Henkel Stiftung) VR Wayfinding Visitor Experience Model (ID Laboratory)

• Machine Learning
• Deep Learning
• Cybersecurity
• +4 more

Dr. Yi Wang is an Associate Professor and Department Chairperson of the Electrical and Computer Engineering Graduate Programs at Manhattan College, New York. He also serves as Director of the Electrical & Computer Engineering Graduate Program. His research focuses on machine learning, deep learning, cybersecurity, blockchain, and their applications in cyber-physical systems. Dr. Wang is an IEEE Senior Member (since 2021) and has secured NSF grants totaling over $149,000. Education: Ph.D. Computer Engineering, University of Alabama in Huntsville M.S. Computer Science, Wuhan University of Science and Technology B.S. Information Systems, Wuhan University of Science and Technology Research Interests: Machine learning and deep learning algorithms Cybersecurity for IoT and smart grids Blockchain applications in attribute-based access control Adversarial machine learning defense mechanisms Optical fiber communication systems Recent Publications Trends: His work spans blockchain platform comparisons, adversarial attack mitigation in power systems, and AI-driven smart home solutions. He frequently publishes in IEEE journals and conferences. Awards: Best Paper Award at 2017 IEEE UEMCON Best Paper Award at 2015 ICDIP Grants and Advising: Principal Investigator for NSF-funded UIRiSCS project (2022–2025). Co-Principal on NYC DOT Loading Zone Study. Recipient of Manhattan College Faculty Summer Grants (2021, 2017). Advises graduate students in cybersecurity and IoT research. Labs/Teams: Collaborates with the University of Zaragoza, Spain on smart systems research. Leads projects on plastic optical fiber networks and AI-driven smart home systems.