جست‌وجوی استاد و پژوهشگر

• Energy Storage Systems
• High-power Power Converters
• Electrically Propelled Vehicles (Electric, Hybrid, Fuelcell)
• +۱۰ مورد دیگر

Dr. John G. Hayes is a Senior Lecturer at University College Cork (UCC) in the Department of Electrical & Electronic Engineering . He holds a Ph.D. from UCC (1998), an M.S.E.E. from the University of Minnesota (1989), an M.B.A. from California Lutheran University (1993), and a B.E. from UCC (1986). His academic career began at UCC in 2000, and he directs the Power Electronics Research Laboratory (PERL) , focusing on industrial collaborations with companies like Analog Devices and General Motors. Research Interests : Power electronics, magnetic components, electric vehicles, renewable energy systems, smart grids, and energy storage. Notable Work : Joint author of Electric Powertrain: Energy Systems, Power Electronics and Drives for Electric, Hybrid and Fuel Cell Vehicles (Wiley, 2018) and its Chinese edition (2021). Scientific Awards : 2011 IEEE William M. Portnoy Award for Best Paper/Presentation at IEEE ECCE. Advising : Supervised 10+ Ph.D. students across powertrain modeling, magnetic materials, and converter control. Current advisee: Conor Healy (Doctoral Degree). Labs : Leads PERL, which develops high-power converters for automotive and renewable energy applications, partnering with industry leaders like SMA Magnetics and United Technologies.

• Transport Planning
• Urban Sustainability
• Data Analysis
• +۵ مورد دیگر

Roles and Affiliations: Doina Olaru is a Professor in the Department of Management and Organisations at the University of Western Australia (UWA) Business School. She is affiliated with the Planning and Transport Research Centre and holds a visiting position at the University of Burgos, Spain. Her work focuses on transport planning, urban sustainability, and data-driven decision making. Education: PhD in Transport Engineering (University Politehnica of Bucharest, 2000). Prior industry experience includes roles as a railway engineer and Postdoctoral Research Scientist at CSIRO. Research Interests: Urban transport systems, travel behavior modeling, accessibility analysis, environmental impacts of transport, and applications of artificial intelligence. She emphasizes sustainable solutions integrating land-use and transport policies. Grants and Collaborations: Principal investigator on 31 grants, including ARC Linkage Projects and industry partnerships with iMOVE CRC. Collaborates with institutions like the University of Oxford, University of Leeds, and University of Sydney. Awards: Multiple teaching awards (UWA Business School) and recognition for contributions to transport research, including the Dennis Moore Australian Computer Society Orator honor. Teaching: Courses include Data Analysis and Decision Making, and Quantitative Data Analysis. Over 10 teaching excellence nominations. Current Projects: Focus areas include smart transport technologies, roundabout modeling via drone analytics, and hybrid work impacts on transport demand.

• Power System Protection
• Power Electronics
• High Voltage Engineering
• +۴ مورد دیگر

Michael Kleemann is an Associate Professor at the Faculty of Engineering Technology within KU Leuven , affiliated with the Department of Electrical Engineering (ESAT) . His research focuses on Power System Protection , Wireless Power Transfer , and Renewable Energy Integration , with a particular emphasis on inverter-based grid dynamics and fault analysis. Key Research Areas : Power system protection algorithms, capacitive wireless power transfer, fault location methods in medium voltage cables, and grid stability with high renewable penetration. Notable Projects : Lead projects on Protection of Future Distribution Grids (2021-2025), Capacitive Wireless Power Transfer (2020-2024), and Flux 50 ICON (2024-2026) for low-voltage DC grid protection. Publication Trends : Recent work explores capacitive wireless power transfer materials and control systems (2024-2025), fault detection algorithms for inverter-dominated grids (2023-2025), and machine learning applications in voltage regulation for photovoltaic-rich networks (2024). Teaching : Courses include Power System Protection (JPI322), Power Electronics (JPI0L8/JPI318), and Capacitive Wireless Transfer topics in graduate seminars.

Bart J. Hengeveldمشاهده پروفایل

استادیار

• Internet of Things (IoT) Interaction Design
• Sound Design
• Tangible Interaction
• +۳ مورد دیگر

Bart J. Hengeveld is an Assistant Professor at Eindhoven University of Technology (TU/e), affiliated with the Industrial Design department within the Faculty of Industrial Design. He leads the Future Everyday research cluster, focusing on the intersection of sound design and IoT systems. His work explores how embedded technologies can communicate through sound and tangible interaction in ways that enhance human experience. Education: BSc/MSc in Industrial Design Engineering, Delft University of Technology (2003) PhD in Industrial Design, TU/e (2011), with concurrent training in double bass at Codarts Conservatory Research Interests: Acoustic communication in IoT systems Tangible interaction design Social implications of ubiquitous computing Sound as a medium for human-technology interaction Recent Research Trends: Focus on multimodal interfaces combining sound/light/haptics Studies on sound design for healthcare and smart living environments Investigations into ethical and inclusive IoT soundscapes Awards: Two Teacher of the Year awards at TU/e, reflecting his commitment to pedagogical excellence. Advising & Projects: Supervised 113 student projects including interactive installations like 'Naktis' and 'Sonostapp' Leading the €1.5M 'Role of Sound in Hybrid Work Environments' project (2023–2026) Organized TEI 2016 conference and serves on its steering committee Teams/Labs: Core member of TU/e's Future Everyday cluster, collaborating with multidisciplinary teams on embodied interaction research.

Jeffrey T. Glassمشاهده پروفایل

استاد

• Electronic Materials
• Nanotechnology
• Energy Conversion and Storage
• +۵ مورد دیگر

Jeffrey T. Glass is a Professor of Electrical and Computer Engineering and Hogg Family Director of Engineering Management & Entrepreneurship at Duke University's Pratt School of Engineering. He holds the Hogg Family endowed chair in Engineering Management and Entrepreneurship. Previously, he served as Co-Director of The Institute for the Integration of Management and Engineering at Case Western Reserve University and held roles at Kobe Steel USA Inc. and North Carolina State University. Education: Bachelor of Science in Engineering (B.S.E.), Johns Hopkins University, 1981 Master of Science in Engineering (M.Sc.Eng.), Johns Hopkins University, 1983 Ph.D. in Materials Science and Engineering, University of Virginia, 1986 M.B.A., Duke University's Fuqua School of Business (Global Executive Program), 1999 Research Interests: His work focuses on electronic materials, miniature mass spectrometry, energy conversion/storage, and waste treatment systems. Key projects include developing nanomaterials (e.g., carbon nanotubes, graphene), advanced sensors, and applications like smart toilets and photoelectrochemical energy devices. His lab, the J.T. Glass Nanomaterials and Thin Films Lab, explores carbon nanostructures for supercapacitors, field emitters, and neural stimulation electrodes. Awards: Stansell Family Distinguished Research Award (2015) Highly Cited Researcher (2001) National Science Foundation Presidential Young Investigator Award Maurice Holland Award (2004) Grants & Advising: Glass has secured over $97M in research funding, advising numerous students and leading interdisciplinary initiatives. He consults for materials-related companies and serves on technical advisory boards. His innovation management work bridges business and technology, with courses like EGRMGMT 572. Labs & Teams: Leads the Nanomaterials and Thin Films Lab, collaborating on coded aperture mass spectrometers, supercapacitors, and waste disinfection systems. Teams include engineers, materials scientists, and industry partners.

Ray Willsمشاهده پروفایل

استاد مدعو

• Sustainability
• Climate Change
• Renewable Energy
• +۴ مورد دیگر

Ray Wills serves as Adjunct Professor at the University of Western Australia's School of Agriculture and Environment while leading multiple sustainability enterprises including Future Smart Strategies (Managing Director), Blue by Design (Chair and Partner), and Sundrop Estates Pty Ltd (Chair, Partner, Director). His academic foundation includes a Bachelor of Science Degree with Honours in Mycology and Doctor of Philosophy in Ecology from the University of Western Australia. Professor Wills specializes in sustainability technology applications across energy infrastructure and built environments, with research addressing climate change mitigation through renewable energy systems. His work bridges technical innovation and socio-economic implementation strategies for global sustainability challenges. Recent publications analyze disruptive trends in customer-driven energy transitions and decentralized renewable systems in Africa, revealing patterns in battery storage adoption and socio-technical barriers to clean energy deployment. Earlier ecological research examined plant-pollinator relationships in Western Australian ecosystems. Key recognitions include: Fellow of the Australian Institute of Energy Top 100 Global Leaders in Sustainability, Climate Change and Energy He has supervised academic work as indicated by institutional records, and directs nationally significant projects including the 'Lithium Valley' report and Cunderdin solar farm with battery storage. His current initiatives focus on globally scalable energy solutions through Western Australian partnerships.

Michael Stevensمشاهده پروفایل

مدرس ارشد

• Biomedical Engineering
• Advanced Manufacturing
• Digital Manufacturing
• +۶ مورد دیگر

Dr. Michael Stevens is a Senior Lecturer at University of New South Wales (UNSW) Canberra , where he focuses on advanced manufacturing and biomedical device control systems . His work bridges digital manufacturing for SMEs with smart artificial heart technologies , emphasizing industry collaboration and translational research. Specializes in physiological control systems for rotary blood pumps Develops unobtrusive fall detection systems for dementia patients Leads international projects on total artificial heart development Education : B.Eng (Medical - First Class Honours), Queensland University of Technology (2010) PhD in Physiological Control for Biventricular Assist Devices, University of Queensland (2014) Research Trends show consistent focus on: Machine learning for biomedical diagnostics (2018–2025) mmWave radar and thermal sensors in patient monitoring (2021–2024) Computational fluid dynamics in artificial heart modeling (2016–2024) Physiological control algorithms for rotary blood pumps (2011–2025) Scientific Awards : UNSW Scientia Education Award (2021) for contextual teaching Heart Foundation Runner-up for "Smart Artificial Hearts" pitch (2021) ARC PGC Supervisor Award (2017) for mentoring Grants & Supervision : Holds over $6 million in competitive funding including MRFF and ARC grants. Currently supervises 4 PhD students while maintaining industry partnerships with VitalCare and BiVACOR. Labs & Facilities : Works across UNSW Engineering labs and Graduate School of Biomedical Engineering platforms, including mock circulation loops and high-performance computing clusters for CFD simulations.

Roland Zengerleمشاهده پروفایل

استاد

• Microfluidics
• Lab-on-a-Chip
• Bio-MEMS
• +۶ مورد دیگر

Prof. Dr. Roland Zengerle serves as Full Professor for Application Development at the Institute of Microsystems Technology within the Faculty of Engineering at Albert Ludwigs University of Freiburg, concurrently holding the position of Director at Hahn-Schickard Institute for Microanalysis Systems in Freiburg. His academic leadership spans microsystems engineering with a focus on translational research bridging fundamental science and clinical applications. Zengerle's research expertise centers on Microfluidics, Lab-on-a-Chip systems, Bio-MEMS, Electrochemical Energy Systems, and Tomographic Reconstruction of Mesoporous Materials. He pioneers hybrid manufacturing techniques integrating molten metal printing with polymer processing to develop point-of-care diagnostic platforms and advanced energy systems. Current projects include UTI-Diag for urinary tract infection diagnosis and PhotonMed, a 32-million-euro medical technology initiative where his MEMS Applications Laboratory develops centrifugal microfluidic solutions. Analysis of his recent publications reveals a dominant trend toward multi-technology integration: centrifugal microfluidics combined with 3D bioprinting for organoid-based drug testing, molten metal printing for flexible electronics, and bead-based immunoassays for infectious disease detection. The work demonstrates strong clinical translation focus, particularly in cancer diagnostics (circulating tumor cell isolation), infectious disease testing (TB diagnostics), and regenerative medicine (spheroid/organoid handling). His laboratory has secured significant funding for high-impact projects including: UTI-Diag: Molecular diagnostics for urinary tract infections PhotonMed: Medical technology innovation consortium livMatS: Living, Adaptive and Energy-autonomous Materials Systems Zengerle actively mentors researchers through Freiburg's Master Lab program and Writer's Studio initiative while promoting young talent via Bootcamp training. His group maintains strategic alliances with Hahn-Schickard spin-offs and industry partners, leveraging university cleanroom facilities and specialized service centers for microfabrication. The MEMS Applications Laboratory operates as a hub for interdisciplinary innovation, combining microfabrication expertise with clinical insights to develop commercializable diagnostic solutions. Current infrastructure supports centrifugal microfluidic cartridge development, 3D-bioprinting of tissue models, and electrochemical sensor integration, with ongoing work focused on automating complex biological workflows for point-of-care applications.

Jian Liuمشاهده پروفایل

استادیار

• Robust and Trustworthy AI
• Machine Learning
• Human-Computer Interaction
• +۶ مورد دیگر

Jian Liu is an Assistant Professor in the Min H. Kao Department of Electrical Engineering and Computer Science at the University of Tennessee, Knoxville. He leads the Mobile Sensing and Intelligence Security (MoSIS) Lab, focusing on robust AI, mobile security, computational sensing, and smart healthcare. His research has been published in top-tier venues like S&P/Oakland, CVPR, and IEEE journals, with over 6,400 citations. He holds seven U.S. patents, including two licensed to industry. Education: PhD in Electrical and Computer Engineering from Rutgers University (2019), ME and BE in Communication Engineering from Wuhan University of Technology (China). Research interests include trustworthy AI, federated learning, privacy-preserving technologies, and adversarial machine learning. His recent work includes HarmonyCloak (music copyright protection against generative AI), 3D facial authentication systems, and robust backdoor attack defenses. Notable awards include the University of Tennessee’s Professional Promise in Research Award (2025), Stanford’s World’s Top 2% Cited Scientists, and multiple best paper awards. He teaches Mobile and Embedded System Security (ECE 469/569) and has supervised projects funded by UT Grand Challenges grants. Labs/Teams: MoSIS Lab focuses on AI-driven security solutions, wearable sensing, and healthcare applications. Collaborations involve interdisciplinary projects with UT’s engineering and medical schools.

• Human-Computer Interaction
• Extended Reality (XR)
• Mobile Health Sensing
• +۶ مورد دیگر

Karan Ahuja is the Lisa Wissner-Slivka & Benjamin Slivka Assistant Professor of Computer Science at Northwestern University, directing the Sensing, Perception, Interactive Computing & Experiences (SPICE) Lab. He earned his Ph.D. in Human-Computer Interaction from Carnegie Mellon University (2023) and a B.Tech. in Computer Science (2017). His research focuses on creating technologies that sense and understand human behavior, with applications in mobile health, extended reality, and natural user interfaces. Key projects include LemurDx for ADHD diagnosis, EITPose for wearable hand pose tracking, and MobilePoser for full-body pose estimation via consumer IMUs. Awards include Forbes 30 Under 30 (2024), MIT 35 Innovators Under 35 Asia Pacific, and ACM SIGCHI's Outstanding Dissertation Award. He has worked at Google, Apple, Microsoft Research, Meta Reality Labs, and IBM Research. His lab emphasizes real-world deployments, with technologies licensed and integrated into products used by millions. Prospective students are invited to join his lab at Northwestern via a dedicated application form. Research spans embedded systems, computer vision, and on-device ML, with a focus on impactful applications in healthcare and XR.

Daniel Heinمشاهده پروفایل

پژوهشگر

• Business Digitization
• Customer Relationship Management
• Augmented Reality
• +۳ مورد دیگر

Dr. Daniel Hein is a researcher affiliated with the University of Bamberg's Faculty of Social Sciences, Economics, and Business Administration, specifically within the Chair of Sales & Marketing. His work focuses on Business Digitization, Customer Relationship Management (CRM), and Augmented Reality (AR) technologies. He has contributed to studies exploring the digitization of services and CRM systems, societal implications of emerging technologies like AR smart glasses, and strategic frameworks for digital transformation in non-digital enterprises. His research emphasizes bridging theoretical concepts with practical business challenges, particularly in leveraging digital tools to enhance customer engagement and operational efficiency. Notable themes include analyzing adoption barriers for technologies like autonomous vehicles and smartwatches, and evaluating how analytics drive innovation performance. Dr. Hein has also explored ethical dimensions of wearable technologies and the psychological factors influencing consumer preferences, such as the role of disease avoidance in color choices. His publications span academic journals and conference proceedings, reflecting a keen interest in both technological innovation and its societal ramifications. While no specific grants or awards are listed, his work contributes to interdisciplinary discussions at the intersection of marketing, technology, and organizational strategy. As part of the Chair of Sales & Marketing, Dr. Hein collaborates with academic and industry partners to advance research in digital business practices, CRM effectiveness, and the strategic implications of emerging technologies.

• Biosensors
• Microfluidics
• Microfabrication
• +۸ مورد دیگر

Renny Edwin Fernandez is an Associate Professor in the Department of Engineering at Norfolk State University's College of Science, Engineering and Technology. His multidisciplinary research focuses on microsensing platforms for healthcare, pollution control, and agriculture applications. Education: PhD in Electrical Engineering (2010) from Indian Institute of Technology Madras His research integrates microfabrication, microfluidics, and machine learning to develop wearable biosensors, disposable electrodes, and IoT-enabled soil monitoring systems. Key trends in his recent publications include: Real-time health monitoring via flexible nanosensors Machine learning integration in agricultural IoT Plasma-aided printing of conductive nanomaterials Smart PPE systems with NFC technology Scientific Awards: Research Initiation Award (2020) for cognitive monitoring systems in extreme environments Dr. Fernandez mentors graduate and undergraduate researchers at NSU, with prior teaching experience at University of Indianapolis and Florida International University. He holds a patent for biosensor technology and has developed innovative solutions for: Salivary cortisol detection Soil nutrient analysis Cell viability assessment Smart irrigation systems

Heikki Handroosمشاهده پروفایل

استاد

• Mechatronics
• Robotics
• Machine Automation
• +۵ مورد دیگر

Heikki Handroos is a Full Professor of Mechanical Engineering at LUT University, leading the Laboratory of Intelligent Machines since 1993. He holds a DSc (Technology) from Tampere University of Technology and has served as Vice-Dean of the Faculty of Technology (2007-2009) and currently chairs the Collegiate Body of LUT University. His research focuses on mechatronics, robotics, control systems, and fluid power, with over 300 publications and 2,400+ citations. He has supervised 34 doctoral theses and 150+ MSc projects, managed R&D projects exceeding €20M, and co-founded four tech startups. His work spans industrial collaborations, digital twin applications, and innovative robotics for nuclear energy (e.g., DEMO reactor maintenance systems). He has held visiting professorships in the U.S., Japan, and Russia, and actively contributes to academic editorial roles and professional societies like ASME and IEEE.

Andres Kwasinskiمشاهده پروفایل

استاد

• Cognitive Radios and Networks
• Machine Learning for Wireless Communications
• 5G/6G/NextG Networks
• +۵ مورد دیگر

Andres Kwasinski is a Professor in the Department of Computer Engineering at Rochester Institute of Technology (RIT), part of the Kate Gleason College of Engineering. He serves as Graduate Program Director for the Ph.D. in Electrical and Computer Engineering and M.Sc. in Computer Engineering. He co-directs the Networking and Information Processing (NetIP) Lab and holds editorial roles with IEEE publications, including Chief Editor of the IEEE Signal Processing Repository and Associate Editor of IEEE Signal Processing Magazine. Education: Ph.D. and M.Sc. in Electrical and Computer Engineering from the University of Maryland, College Park (2004 and 2000), and B.Sc. in Electrical Engineering from the Buenos Aires Institute of Technology (1992). Prior to RIT, he worked at Texas Instruments, Lucent Technologies, and the University of Maryland. Research Interests: Cognitive radios, machine learning for dynamic spectrum access, 5G/6G networks, VR communications, cross-layer resource allocation, smart infrastructures, and signal processing. His work emphasizes sustainable and resilient communication systems, integrating renewable energy and AI-driven solutions. Notable Contributions: Authored/co-authored books on cooperative communications and 3D visual communications. Over 70 peer-reviewed publications, including works on energy-efficient wireless networks, microgrid integration for base stations, and deep reinforcement learning in cognitive radio. His research is funded by the NSF, Harris Corporation, and the Air Force Research Laboratory. Grants & Awards: Supported by grants from NSF and industry partners. Recognized for contributions to IEEE standards and technical leadership in signal processing and communications. Labs & Teams: Co-director of the NetIP Lab, focusing on networking, signal processing, and smart infrastructure. Collaborates on interdisciplinary projects in robotics, warehouse automation, and 5G/B5G systems.

Bing Yanمشاهده پروفایل

استادیار

• Power System Optimization
• Grid Integration of Renewables
• Microgrid Operation
• +۳ مورد دیگر

Bing Yan is an Assistant Professor in the Department of Electrical and Microelectronic Engineering at Rochester Institute of Technology (RIT), affiliated with the Kate Gleason College of Engineering. She holds a B.S. in Information Management from Renmin University of China (2010), and M.S. and Ph.D. degrees in Electrical Engineering and Statistics from the University of Connecticut (2012–2017). Prior to RIT, she was an Assistant Research Professor at the University of Connecticut. Dr. Yan’s research focuses on power system optimization , including grid integration of renewables (wind/solar), microgrid operations, distributed energy systems, and manufacturing scheduling. She has published over 30 peer-reviewed articles and secured grants from the National Science Foundation (including a CAREER Award), Department of Energy, and industry partners like Brookhaven National Laboratory and ABB. Her work emphasizes mixed-integer linear programming and machine learning applications in energy systems. Notable contributions include stochastic unit commitment models for wind farms, voltage control via deep reinforcement learning, and multi-layer weather models for PV prediction. She advises on projects involving grid resilience, smart manufacturing, and data-driven optimization. Awards: National Science Foundation Faculty Early Career Development (CAREER) Award Multiple NSF grants, DOE grants, and industry contracts Teaching: Courses include Circuits I , Electric Power Transmission & Distribution , and Advanced Power Systems . She also mentors students through co-op programs and independent studies. Labs/Teams: Leads the Intelligent Lab of Power and Manufacturing (ILPM), focusing on multidisciplinary solutions for energy and manufacturing systems. The lab emphasizes hands-on training and innovation in smart grid technologies and sustainable energy systems.