جست‌وجوی استاد و پژوهشگر

Gierad Laputمشاهده پروفایل

استاد مدعو

• Human-Computer Interaction
• Machine Learning
• Sensing Systems
• +۷ مورد دیگر

Gierad Laput is a Senior Engineering Manager at Apple, leading the Perception and Interaction Engineering organization under Machine Intelligence Neural Design (MIND) at Apple AI/ML (AIML). He is also an Adjunct Professor at Carnegie Mellon University's School of Computer Science and Human-Computer Interaction Institute. His research sits at the intersection of sensing systems, interactive technologies, and machine learning, with applications in ambient intelligence, wearables, and AI-driven interactive experiences. Ph.D. in Computer Science from Carnegie Mellon University Founding member of CMU's Future Interfaces Group Former Google Ph.D. Fellow, Disney Imagineer, and recipient of 10 Best Paper Awards/Nominations His research agenda at Apple leverages cutting-edge hardware to develop multimodal ML systems for vision, audio, and motion sensors, enabling features like head gesture detection for AirPods, Apple Intelligence integrations, and health monitoring tools. Recent collaborative projects include Vision Pro hand interaction systems and WatchOS updates for cycling/fall detection. Key research areas include human-computer interaction , machine learning for sensor fusion , and smart environment sensing . Over 35 publications cover transformative technologies like ViBand (bio-acoustic sensing), EM-Sense (touch recognition), SkinTrack (arm as touchpad), and ElectroDermis (stretchable electronics). Scientific honors include: Fast Company Innovation by Design Award (2017) Google PhD Fellowship (2018) Swartz Entrepreneurial Fellowship (2018) Best Paper Awards at ACM UIST (2016) and ACM CHI (2015) As an educator, he has taught courses at CMU and the University of Michigan on on-device machine learning , signal processing , and human-centered design . His lab has mentored numerous researchers now pursuing PhDs at MIT, UW, CMU, and Northwestern.

Francesca Stradoliniمشاهده پروفایل

مدرس

• Bioelectronics
• IoT for Medical Monitoring
• Anesthesia Delivery Systems
• +۳ مورد دیگر

Francesca Stradolini is a Lecturer at École Polytechnique Fédérale de Lausanne (EPFL), affiliated with the Electrical Engineering Doctoral School (EDEE). She holds a PhD in Electrical Engineering from EPFL (2018), with prior education in Bio Engineering and Neuroscience from the University of Genoa (2012, 2015). Her current work focuses on R&D engineering for medical devices, emphasizing system lifecycle management, human factors engineering, and compliance with CE/FDA regulations. As an invited guest, she contributes to usability engineering education and interdisciplinary research at EPFL. PhD: IoT Bio-Electronic Multi-Panel Device for On-line Monitoring of Anaesthesia Delivery (EPFL, 2018) MSc: Bio Engineering (University of Genoa, 2015) BSc: Bio Engineering (University of Genoa, 2012) Her research spans bioelectronics, IoT-enabled medical monitoring, and electrochemical sensor development for clinical applications. Key areas include anesthesia delivery systems, wearable diagnostics, implantable devices, and human factors engineering. Her work integrates fluidic systems, noble metal nanostructures, and open-source hardware (e.g., Raspberry Pi) to address challenges in traceability, fouling mitigation, and pharmacokinetic modeling. Scientific recognition includes the Ville de Lausanne Award (2019) , EPFL Outstanding PhD Thesis Distinction (2018) , and a Best Paper Award at MOBIHEALTH (2016) . She has published extensively in journals like IEEE TBIOCAS, Sensors and Actuators B, and IEEE Sensors Journal, with collaborative studies on propofol monitoring, carbon nanoallotrope drug detection, and implantable sensor validation. Her technical expertise includes managing medical device development lifecycles, designing IoT architectures for intensive care, and optimizing electrochemical sensors for stability in undiluted biological fluids. She has contributed to conferences such as IEEE BioCAS, ISCAS, and MOBIHEALTH, focusing on translational studies in personalized medicine and 3D-printed medical systems.

Scott Hauckمشاهده پروفایل

استاد

• Reconfigurable Computing
• FPGA Architecture
• Quantum Computing Control
• +۵ مورد دیگر

Affiliation & Education Scott Hauck is a Professor at the University of Washington's Department of Electrical & Computer Engineering and an Adjunct Professor in Computer Science & Engineering. He leads the Adaptive Computing Machines and Emulators (ACME) Lab . He earned his BS in EECS from UC Berkeley (1990), and MS/PhD in CSE from the University of Washington (1992/1995). Research Focus Dr. Hauck specializes in FPGA-based reconfigurable computing with applications in: Quantum Computing: FPGA controllers for trapped-ion quantum systems enabling precise laser control and quantum state readout. Medical Imaging: Portable radiation sensors for personalized cancer therapy and PET scanner enhancements. High-Energy Physics: FPGA readout systems for ATLAS pixel detectors at CERN's Large Hadron Collider. AI Acceleration: Real-time machine learning inference for scientific applications via projects like hls4ml. His work bridges hardware innovation with computational physics, emphasizing real-time processing and low-latency systems. Publication Trends Recent research focuses on FPGA-accelerated machine learning for particle physics (e.g., transformer networks for LHC trigger systems) and quantum computing instrumentation. Earlier work established foundations in reconfigurable computing architectures and medical imaging electronics. Awards & Recognition Distinguished Teaching Award, University of Washington (2010) Advising & Funding Leads the ACME Lab with extensive funding from NSF, DARPA, NIH, DOE, and industry partners including Intel, Xilinx, and Microsoft. Mentored over 30 MS/PhD students in VLSI, reconfigurable systems, and scientific computing. Collaborations & Labs Directs the ACME Lab (EE1-307), collaborating with UW Radiology (Prof. Robert Miyaoka), UW Physics (Prof. Shih-Chieh Hsu), and Drexel University (Prof. Josh Agar). Projects include quantum control systems, LHC readout electronics, and medical sensor networks.

Kristofer S.J. Pisterمشاهده پروفایل

استاد

• Micro/Nano Electro Mechanical Systems (MEMS)
• Control Systems
• Robotics
• +۶ مورد دیگر

Kristofer Pister is a Professor in the Department of Electrical Engineering and Computer Sciences at the University of California, Berkeley. He co-directs the Berkeley Sensor and Actuator Center (BSAC) and the Ubiquitous Swarm Lab. His career spans groundbreaking innovations in Micro/Nano Electro Mechanical Systems (MEMS), Control Systems, and Low-Power Circuits, with a focus on Smart Dust and synthetic insects. Education: Ph.D. and M.S. in EECS from UC Berkeley (1992, 1989); B.A. in Applied Physics from UC San Diego (1986). His research areas include MEMS , Control Systems , Robotics , and Integrated Circuits , with recent work on self-powered micro-sensors, crystal-free radios, and interplanetary swarm networks. Key awards include the ISA Albert F. Sperry Founder Award (2009) , Alexander Schwarzkopf Prize (2006) , and the NSF CAREER Award (1996) . He has authored numerous influential publications in wireless sensor networks and microrobotics. His lab, Ubiquitous Swarm Lab , explores distributed robotics and swarm intelligence. Pister emphasizes open collaboration in research, ethical conduct in academia, and efficient resource utilization for graduate students.

Morteza Fayaziمشاهده پروفایل

استادیار

• Electronic Design Automation (EDA)
• Machine Learning (ML) in Analog Circuit Design
• System-on-Chip (SoC) Design Automation
• +۳ مورد دیگر

Morteza Fayazi is an Assistant Professor in the Department of Electrical and Computer Engineering at the University of Utah, with an adjunct position in the Kahlert School of Computing. His research focuses on Electronic Design Automation (EDA), applying machine learning to automate analog and mixed-signal circuit design, and developing high-performance computing systems. He holds a B.Sc. from Sharif University of Technology, and M.S.E./Ph.D. degrees from the University of Michigan. His research interests include AI-driven EDA, RF/circuit automation, and energy-efficient processors. Key achievements include the MEDAL lab’s work on terahertz radars, systolic-array processors (e.g., DAP and Versa), and open-source frameworks like FASCINET and Tablext. He has received awards such as the 2024 College of Engineering Dean’s ETR Fund and the 2017 Outstanding Undergraduate Thesis Award. Teaching responsibilities include multiple iterations of the Digital System Design course (ECE/CS 3700). His work spans over 15 peer-reviewed articles in IEEE Transactions, ACM, and top conferences like ICCAD and VLSI-SOC, emphasizing automation, efficiency, and AI integration in hardware design.

Qingguo Liمشاهده پروفایل

استاد

• Biomechanical system design
• Energy harvesting
• Wearable sensors
• +۴ مورد دیگر

Qingguo Li is a Professor and Associate Head at the Department of Mechanical and Materials Engineering , Queen's University , and a member of the Ingenuity Labs Research Institute . He specializes in biomechanical system design, energy harvesting, wearable sensors, gait analysis, and load carriage systems. His research integrates robotics, biomedical engineering, and sensor technology to develop human-centric devices and mobility aids. Current Roles : Professor, Associate Head, Queen's University Research Institute : Ingenuity Labs Research Institute Lab : Bio-Mechatronics and Robotics Laboratory His work focuses on biomechanical energy harvesting , IMU-based motion analysis , and assistive device development . Key applications include stroke rehabilitation, gait monitoring, and wearable power generation systems. Articles span cable-driven robots , smart walkers , and 3D printing mechanisms , emphasizing human-robot interaction and dynamic modeling . The lab explores sensor calibration , adaptive control algorithms , and human movement optimization . Areas of impact include rehabilitation engineering , load carriage stability , wearable sensor accuracy , and assistive robotics . His team develops solutions for gait asymmetry detection , post-stroke mobility , and low-cost energy systems , leveraging machine learning and kinetic modeling .

• Analytical Chemistry
• Microfluidics
• Biomedical Engineering
• +۲ مورد دیگر

JIANG Xingyu is Chair Professor and Head of the Department of Biomedical Engineering at the Southern University of Science and Technology (SUSTech) . Since 2018 he has led a multidisciplinary team developing advanced micro- and nano-scale tools for analytical chemistry, microfluidics and nanomedicine. Education Postdoctoral Research, Harvard University (2004–2005) Ph.D. in Chemistry, Harvard University (2004) B.S. in Chemistry, University of Chicago (1999) Research Interests Professor Jiang’s research integrates analytical chemistry , microfluidics , biomedical engineering and nanomedicine . His laboratory designs microfluidic chips for point-of-care diagnostics, engineers gold nanoclusters and nanoparticles for antimicrobial and anticancer therapy, and develops soft flexible bio-electronics for neural interfaces and wearable health monitoring. Across 400+ publications, recent work demonstrates a clear trend toward translational nanomedicine : point-of-care viral variant detection, nanoantibiotic strategies against multidrug-resistant bacteria, CRISPR delivery systems for cancer therapy, and conformal electronic tattoos for human-machine interfaces. Scientific Awards & Honours Fellow, American Institute for Medical and Biological Engineering (2020) Fellow, Royal Society of Chemistry (2016) Tencent Science Exploration Award (2019) Chief Scientist, National Key R&D Program (2019–) National Science Fund for Distinguished Young Scholars (2010) Young Investigator Award, Human Frontier Science Program (2007) Research Funding & Teams He currently directs the Nanoscience Laboratory at SUSTech, hosts National Key R&D Program projects as Chief Scientist, and serves on editorial boards of Advanced Healthcare Materials , Lab on a Chip , Nanoscale Horizons , Nanoscale and Nanoscale Advances . The group is actively recruiting post-docs, research professors and technicians across chemistry, materials, biology and medical engineering disciplines.

Annie BLANDINمشاهده پروفایل

استاد

• Digital Law
• Data Protection
• Internet Governance
• +۴ مورد دیگر

Annie BLANDIN is an Enseignant Chercheur (Professor) at IMT Atlantique, a leading French technological university, where she is affiliated with the Department of Network Systems, Cyber Security and Digital Law at the Rennes campus. Her academic work bridges legal studies and digital technology, focusing on the evolving relationship between law, governance, and the digital world. Professor BLANDIN's research interests center on digital law and governance, with particular emphasis on European digital sovereignty, data protection frameworks, internet regulation, telecommunications law, and the intersection of market forces with digital rights. Her work critically examines how legal frameworks can address the power dynamics between large digital platforms and nation-states, exploring whether law can serve as a tool for digital sovereignty rather than merely accommodating existing technological and economic power structures. Her recent publications (2020-2024) reveal a consistent focus on European regulatory approaches to digital challenges, with particular attention to data sovereignty, digital market regulation, and the geopolitical dimensions of internet governance. Her work demonstrates a sophisticated understanding of how digital sovereignty operates both as a factual reality shaped by platform dominance and as a legal construct that can be shaped through regulation and ethical frameworks. The research shows increasing attention to practical implementation challenges of digital rights, such as data portability, and the international dimensions of digital governance, particularly regarding EU-Asia and EU-Canada relations. Professor BLANDIN has maintained a productive academic career spanning nearly three decades, with publications dating back to 1996. Her early work focused on telecommunications regulation within the European context, evolving to address broader digital governance issues as technology advanced. She has authored significant books including Droits et souveraineté numérique en Europe (2016) and L'Union européenne et internet : entre logique de marché et préoccupations citoyennes (2001), demonstrating her longstanding engagement with the legal and policy challenges posed by digital technologies. Her scholarly contributions appear across various formats including peer-reviewed journal articles, conference papers, book chapters, and research reports. She frequently collaborates with other scholars from diverse disciplines, reflecting the interdisciplinary nature of digital governance issues. Her work has been cited in academic and policy contexts, particularly regarding European approaches to digital sovereignty and data protection.

Ronald G. Dreslinskiمشاهده پروفایل

استادیار

• Computer Architecture
• Hardware Design Automation
• Electronic Design Automation (EDA)
• +۳ مورد دیگر

Ronald G. Dreslinski is the Morris Wellman Faculty Development Assistant Professor in the Department of Electrical Engineering and Computer Science at the University of Michigan, within the College of Engineering. He leads the Computer Engineering Lab (CEL) and directs multiple government-funded research initiatives. His research focuses on Computer Architecture , Hardware Design Automation , and Electronic Design Automation (EDA) , specializing in autonomous system-on-chip synthesis and reconfigurable computing. His work aims to democratize hardware design by eliminating barriers of cost, expertise, and uncertainty through tools enabling no-human-in-the-loop implementation. Dr. Dreslinski manages significant funding from defense and science agencies. Current projects include: DARPA DSSoC (DASH) DARPA Space-BACN (Cochon) DARPA Prowess (Dr. Dash) IARPA Agile (PANDO) NSF Fuse (Regaining the Edge) Past projects encompass: DARPA CRAFT (CERTUS) DARPA PERFECT DARPA SDH (Transmuter) DARPA IDEA (FASoC, OpenROAD) NASA/AFRL (HPSC) He drives the OpenROAD project toward 24-hour autonomous chip design, with industrial adoption by Intel and IHP for shuttle services. His lab develops open-source tools like FASoC for synthesizable analog-digital SoC composition, advancing portability and correctness-by-construction methodologies.

Minjie Chenمشاهده پروفایل

دانشیار

• Power Electronics
• Energy Conversion
• Magnetics Design
• +۳ مورد دیگر

Minjie Chen is an Associate Professor of Electrical and Computer Engineering and the Andlinger Center for Energy and the Environment at Princeton University, serving as Acting Associate Director for Research at the Andlinger Center. He leads the Princeton Power Electronics Lab (PowerLab), which focuses on developing fundamental and novel power electronics solutions for a wide range of applications from mW-scale energy harvesting to MW systems in renewable energy integration. Dr. Chen received his Ph.D. in Electrical Engineering and Computer Science from MIT in 2015 and his B.S. in Electrical Engineering from Tsinghua University in 2009. Before joining Princeton as an Assistant Professor in February 2017, he was a postdoctoral associate at MIT Research Laboratory of Electronics. His research spans power electronics, magnetics design, and machine learning applications in energy systems. The PowerLab develops advanced power conversion architectures that enable order-of-magnitude higher power density through high-frequency designs, addressing circuit timing, parasitics, magnetics, and thermal management challenges. Their work targets applications ranging from portable devices to data centers and renewable energy systems. The research group has produced a remarkable series of high-impact publications, with seven IEEE Transactions on Power Electronics Prize Papers in seven consecutive years (2016-2023). Their recent work increasingly integrates machine learning techniques with power electronics, exemplified by the MagNet project which redefines how power magnetics are studied and modeled. NSF CAREER Award, 2019 IEEE PELS Richard M. Bass Outstanding Young Power Electronics Engineer Award, 2023 Power of Associations Silver Award from ASAE for MagNet project, 2024 Multiple IEEE Transactions on Power Electronics Prize Papers (2016-2023) Princeton Engineering Commendation List for Outstanding Teaching (2019, 2020) Dr. Chen advises approximately 15 graduate students who have received numerous awards including the IEEE PELS John G. Kassakian Fellowship, Princeton SEAS Honorific Fellowship, and multiple IEEE conference best paper awards. His research is supported by significant grants from NSF, DOE ARPA-E, Princeton Innovation Fund, C3.ai DTI, and industry partners including Intel, Google, and pSemi. The lab's MagNet project has become a major international initiative with a $60,000 prize pool challenge. The PowerLab maintains strong industry connections and has launched several collaborative projects with Intel, Google, and pSemi. Their MagNet project has evolved into an international challenge with participation from over 40 teams worldwide, demonstrating the growing impact of their approach to machine learning for power magnetics modeling.

Patricia H. Reiffمشاهده پروفایل

استاد

• Space Plasma Physics
• Magnetospheric Physics
• Aurorae
• +۳ مورد دیگر

Professor Patricia H. Reiff is a Professor in the Department of Physics and Astronomy at Rice University and Associate Director for Outreach Programs at the Rice Space Institute. Her research focuses on space plasma physics, magnetospheric dynamics, auroras, and space weather. She has led missions like the Magnetospheric Multiscale (MMS) and contributed to the Dynamics Explorer, Polar, and Cluster missions. Reiff has pioneered public education initiatives, including the Discovery Dome portable planetarium system and the 'Totality!' planetarium show, reaching global audiences. She has trained fourteen PhD students and directs the Master of Science Teaching (MST) program, which has produced 36 teacher alumni as of 2024. Education: B.S. Physics (Oklahoma State University, 1971), M.S. Space Science (Rice University, 1974), and Ph.D. Space Physics and Astronomy (Rice University, 1975). Her research uses data from missions like MMS and citizen science projects like Citizen CATE to study magnetic reconnection and space weather effects. Key research interests include solar wind-magnetosphere-ionosphere interactions, magnetospheric reconnection, and the societal impacts of space weather. She has authored over 160 refereed publications and holds an H-index of 40. Reiff’s awards include AGU Fellow (1997), the Athelstan Spilhaus Award (2009), and NASA Group Achievement Awards. She is a vocal advocate for STEM education, frequently appearing in media to discuss eclipses and space science, including her role as a solar eclipse tour guide and science commentator.

J. Edward Colgateمشاهده پروفایل

استاد

• Human-Robot Interaction
• Haptic Display
• Teleoperation
• +۴ مورد دیگر

J. Edward Colgate is the Walter P. Murphy Professor of Mechanical Engineering and Director of the Human Augmentation via Dexterity (HAND) Engineering Research Center at Northwestern University's McCormick School of Engineering. He also holds the title of Breed Senior Professor of Design. His academic career includes leadership roles as founding co-Director of the Segal Design Institute and director of the Master of Science in Engineering Design and Innovation program. Colgate earned his Ph.D. (1988), S.M. (1986), and S.B. in Physics (1983) from the Massachusetts Institute of Technology. Colgate's research focuses on physical human-robot interaction with specialization in surface haptic interactive design and electroadhesion technology development. His work spans three interconnected domains: haptic interfaces (including wearable haptic arrays and Touchbot systems), robot dexterity through Shape-Based Remote Manipulation (SBRM) for overcoming communication delays, and high-speed electroadhesive actuators. The Northwestern Haptics Lab under his direction aims to create realistic virtual environments by merging these research vectors. His publications demonstrate consistent focus on tactile perception mechanisms, electroadhesion applications, and haptic rendering algorithms. Recent work explores texture playback fidelity, wearable electroadhesive arrays, robotic manipulation, and human-swarm control systems, reflecting interdisciplinary integration of mechanical engineering, materials science, and neuroscience principles. Awards: Elected to National Academy of Engineering (2021) for contributions to haptics, human-robot systems, and design education Inducted into National Academy of Inventors (2015) Educational initiatives include developing Northwestern's Design Thinking and Communication curriculum, establishing the Certificate in Engineering Design, and creating the Master of Science in Engineering Design and Innovation. He teaches ME 390: Introduction to System Dynamics using a flipped classroom model. Colgate directs the Northwestern Haptics Lab within the Center for Robotics and Biosystems, focusing on fundamental haptics research with applications in virtual reality, prosthetics, and human-assistive devices. The lab maintains active industry partnerships for technology transfer of haptic innovations.

Leslie Yeoمشاهده پروفایل

استاد

• Microfluidics and nanofluidics
• Acoustics and acoustical devices; waves
• Mechanobiology
• +۶ مورد دیگر

Dist. Professor Leslie Yeo is a distinguished faculty member at RMIT University's School of Engineering, where he leads the Micro/Nanophysics Research Laboratory (MNRL). With a PhD from Imperial College London (2002), he has held positions at Monash University and the University of Notre Dame before joining RMIT. His research focuses on the interactions between high-frequency sound waves and matter at micro and nanoscales. Leslie Yeo's educational background includes a PhD from Imperial College London (2002), where he received the Dudley Newitt prize for outstanding computational/theoretical work. Prior to his academic career, he worked as a Mathematical Modeller at Det Norske Veritas UK. He held prestigious Australian Research Fellowships (2009-2017) that supported his groundbreaking work in micro and nanophysics. Professor Yeo's research interests center around high-frequency (MHz order) sound waves interacting with various materials including fluids, two-dimensional and bulk crystals, biomolecules, cells and microorganisms. His work explores both fundamental physicochemical phenomena and practical applications in microfluidics, drug delivery, diagnostics, tissue engineering, and materials synthesis. His research has significant implications for health technologies, environmental applications, and sustainable energy solutions, aligning with UN Sustainable Development Goals 3 (Good Health and Well-Being) and 7 (Affordable and Clean Energy). Analysis of Professor Yeo's recent publications reveals a strong focus on acoustofluidics and its diverse applications. His work demonstrates expertise in using surface acoustic waves for bacterial inactivation, synthesis of metal-organic frameworks, cell membrane manipulation, and energy conversion technologies. The research spans multiple disciplines including biomedical engineering, materials science, and environmental technology, with particular emphasis on practical applications that address real-world challenges. 2023: Fellowship of the Institution of Engineering & Technology (FIET) 2021: RMIT University Science, Technology, Engineering & Medicine College Research Impact Award 2019: RMIT University Distinguished Professorship 2018: RMIT University Vice-Chancellor's Award for Research Excellence 2016: Johnson & Johnson World Without Disease Quickfire Challenge Award 2007: Young Tall Poppy Science Award Professor Yeo has supervised numerous research students across engineering and science disciplines, with current projects focusing on acoustomicrofluidic synthesis of nanomaterials, high-frequency mechanobiology applications, and diagnostic technologies. His editorial roles include Editor-in-Chief of the American Institute of Physics journal Biomicrofluidics and Associate Editor of Frontiers in Bioengineering & Biotechnology. His work has been widely featured in media outlets including ABC's Catalyst, The Economist, and Nature. The Micro/Nanophysics Research Laboratory under Professor Yeo's leadership is at the forefront of fundamental and applied research on nonlinear high-frequency electroacoustic interactions. The laboratory has discovered novel physicochemical phenomena and actively develops theories to explain the fundamental mechanisms behind these discoveries, with applications ranging from medical diagnostics to sustainable energy solutions.

Yogananda Isukapalliمشاهده پروفایل

استاد آموزشی

• Signal Processing
• Computer Engineering
• Digital Design
• +۵ مورد دیگر

Yogananda Isukapalli is a Teaching Professor and Vice Chair in the Computer Engineering Program at the Electrical and Computer Engineering Department , University of California, Santa Barbara . He joined the faculty in Winter 2017 after a career as a staff scientist at Broadcom (2010–2017), where he designed Wi-Fi chips (11n/11ac/11ax) and worked on underwater wireless communication models during a postdoctoral stint at Scripps Institution of Oceanography (2009–2010). His PhD in Communication Theory and Systems from UC San Diego (2009) forms the basis of his expertise in wireless systems and digital design .

Charles J. Taylorمشاهده پروفایل

استاد

• Analytical Chemistry
• Chemical Sensing
• Environmental Chemistry
• +۳ مورد دیگر

Charles J. Taylor is Professor of Chemistry and Chair of the Chemistry Department at Pomona College, where he has served since 2002. An analytical chemist specializing in instrumental techniques for volatile organic compound (VOC) analysis, his work bridges medical diagnostics, environmental monitoring, and chemical sensing applications. His educational background includes: Ph.D. from University of Minnesota Bachelor of Arts from Macalester College Taylor's research focuses on developing rapid diagnostic methods through VOC analysis, leveraging microhotplate arrays, Raman spectroscopy, and polymer-carbon composites. His work spans biological systems (nematode chemotaxis, wine fermentation flavor compounds) and environmental applications (trace element profiling in coffee beans). Students in his lab gain hands-on experience with advanced analytical instrumentation and multivariate data analysis. Analysis of his publications reveals consistent themes in chemical sensing materials development, with strong emphasis on microsensor arrays, NASA-collaborative electronic nose projects, and applications in medical/environmental diagnostics. His work demonstrates interdisciplinary integration of materials science, analytical chemistry, and data analysis. His scientific achievements have been recognized with: NASA Board Award for Copolymers for Sensors (2013) NASA Board Award for SO 2 Detection (2012) Provisional U.S. Patent #60/861-617 (2007) Multiple NASA Tech Brief Awards (2007) Taylor actively mentors undergraduate researchers, with students co-authoring publications on diverse projects from medical diagnostics to environmental trace analysis. His teaching includes Advanced Analytical Chemistry, Environmental Chemistry, and General Chemistry, emphasizing practical laboratory experience. Research funding has supported instrumentation development and NASA-collaborative sensor projects. His laboratory focuses on chemical sensing materials development, particularly microhotplate-based sensor arrays and VOC analysis systems, with ongoing collaborations with NASA's Jet Propulsion Laboratory for electronic nose applications and environmental monitoring solutions.