جستجوی استاد راهنمای دانشگاهی

Mikhail Shapiroمشاهده پروفایل

استاد

• Biomedical Engineering
• Synthetic Biology
• Neuroscience
• +۳ مورد دیگر

Mikhail Shapiro is the Max Delbrück Professor of Chemical Engineering and Medical Engineering at the California Institute of Technology , and an Howard Hughes Medical Institute Investigator since 2021. His research laboratory develops acoustic and magnetic biomolecular tools for imaging and controlling cellular function in vivo. Chemical Engineering Faculty Medical Engineering Affiliation Howard Hughes Medical Institute Investigator Research focuses on noninvasive control of biological systems through: Acoustic reporter genes (ARG 2.0) for real-time tumor monitoring Ultrasound neuroimaging via acoustically transparent cranial windows Gas vesicle engineering for cellular manipulation Microrobotics with acoustic hydrogels His 2024-2025 publications demonstrate breakthroughs in: Nonlinear ultrasound for deep-tissue visualization Acoustic percolation switches for targeted drug delivery SEMPER systems for multi-gene expression control Scientific recognition includes: HHMI Investigator (2021-) Vilcek Foundation Prize in Biomedical Innovation Roger Tsien Award for Chemical Biology Packard Fellowship in Science and Engineering

Jeffrey Derbyمشاهده پروفایل

استاد مدعو

• Signal Processing
• Telecommunications
• Digital Communications
• +۳ مورد دیگر

Jeffrey Derby serves as Adjunct Professor of Electrical and Computer Engineering at Duke University, a position he has held since 1984 while concurrently working as Senior Technical Staff Member in IBM's PowerPC Technology Development area at Research Triangle Park. His dual academic-industry career spans decades with significant contributions to signal processing subsystems for telecommunications applications. Dr. Derby earned his Ph.D. in electrical engineering from Columbia University in 1975, following which he spent seven years at Bell Laboratories before joining IBM in 1982. His research focuses on analog and digital signal processing with direct applications in telecommunications, particularly in digital communications and speech processing systems. Key contributions include low-power programmable signal processors, pole-zero approximation techniques, and multirate subband coding methodologies as evidenced by his publications spanning 16 years. Dr. Derby's publication record from 1987-2003 demonstrates consistent innovation in signal processing hardware design, with increasing emphasis on power efficiency and high-performance architectures for communication systems. His work bridges theoretical signal processing concepts with practical telecommunications implementations. No scientific awards, fellowships, or medals are documented in the source material. At Duke, Dr. Derby teaches ECE 590: Advanced Topics in Electrical and Computer Engineering, sharing his industry expertise with graduate students. While his IBM role involves active patent development (22 US patents as inventor/co-inventor), the text provides no details about research grants or student advising activities. Within IBM Microelectronics Division, Dr. Derby contributes to the PowerPC Technology Development team, focusing on analog/digital signal processing subsystems for next-generation telecommunications infrastructure.

Brian R. Stonerمشاهده پروفایل

استاد پژوهش

• Environmental Engineering
• Nanotechnology
• Electrochemical Systems
• +۳ مورد دیگر

Brian R. Stoner is a Research Professor in the Department of Electrical and Computer Engineering at Duke University. He holds a Ph.D. from North Carolina State University (1993) and leads interdisciplinary research in environmental engineering, nanotechnology, and sustainable sanitation. His work focuses on developing practical solutions for global challenges, including electrochemical disinfection, waste valorization, and water resource management. Stoner's research integrates materials science with environmental systems. Key interests include: Carbon nanostructures for electronic and sensing applications Electrochemical processes for wastewater treatment Non-sewered sanitation technologies Resource recovery from human waste Field-deployable analytical instruments His publications (2017-2024) demonstrate a strong focus on sustainable sanitation, with 60% addressing wastewater treatment, 25% on sensor technology, and 15% on fundamental materials science. Trends show increasing emphasis on field implementation in India/South Africa and miniaturized diagnostic systems. Stoner collaborates extensively through Duke's Global Health Institute and RTI International, notably on the Gates Foundation's Reinvent the Toilet Challenge . Projects include developing self-contained toilets converting waste to fuel and decentralized water reclamation systems.

Luis Miguel Hernández Acostaمشاهده پروفایل

دانشیار

• Software Engineering
• Mobile Computing
• Computer Vision
• +۳ مورد دیگر

Luis Miguel Hernández Acosta serves as an Associate Professor in the Department of Telematics Engineering at the University of Las Palmas de Gran Canaria (ULPGC), affiliated with both the GIR IUMA: Information and Communications Systems research group and the IU of Applied Microelectronics. His academic work spans software engineering and telematics systems within the School of Engineering. His research interests focus on Software Engineering , Mobile Computing , and Computer Vision , with significant contributions to practical applications including web/mobile platforms for service management, computer vision for medical diagnostics, and communication systems. Current projects demonstrate strong industry alignment in restaurant management, transportation optimization, and telemedicine solutions. Analysis of recent publications reveals consistent expertise in full-stack development, real-time systems, and cross-platform frameworks, with increasing integration of machine learning techniques since 2022. Key thematic trends include Practical implementation of publish/subscribe architectures for real-time notifications Computer vision applications in medical diagnostics Optimization algorithms for transportation and service platforms Advising Activities: Supervised 28 bachelor/master theses (2021-2025) Specializes in guiding telecommunications and computer engineering students Projects span mobile development (65%), web platforms (25%), and AI applications (10%) Research Infrastructure: Works within the Department of Telematics Engineering's ecosystem, leveraging resources from both GIR IUMA and the Applied Microelectronics Institute for hardware-software integration projects.

Hanspeter Schmidمشاهده پروفایل

استاد

• Signal Integrity
• Sigma-Delta Modulation
• Low-Power Electronics
• +۷ مورد دیگر

Prof. Dr. Hanspeter Schmid is a Lecturer for Microelectronics and Signal Processing at the University of Applied Sciences and Arts Northwestern Switzerland (FHNW) within the School of Engineering and the Environment. He also serves as a part-time Senior Lecturer at ETH Zurich for Analog Signal Processing and Filtering. Diploma, Postgraduate, and Doctoral degrees from ETH Zurich His research focuses on fast low-power circuits for sensor electronics, signal integrity in analog systems , and sigma-delta modulation . Recent publications address noise analysis, statistical fallacies in small sample measurements, and mixed-signal circuit design. Key article trends include analog/digital filter design, signal-flow graphs, and FFT applications in noise measurement. His work bridges theoretical mathematics with practical circuit implementation, as seen in his 3σ Fallacy study and switched-capacitor tutorials. IEEE CAS Society : Co-Chair (2008-2010), Associate Editor (TCAS-I 2007-2011, TCAS-II 2016-2017) Distinguished Lecturer (2011-2012) and ESSCIRC committee member until 2019 He supervises research projects like Authenticity in Music Production , collaborating with digital music research centers to simulate electronic equipment. His professional affiliations include FHNW’s Institute for Sensors and Electronics and ETH Zurich.

• Digital Microelectronics
• FPGA Design
• ASIC Design
• +۳ مورد دیگر

Stefan Brantschen is a Lecturer at the University of Applied Sciences and Arts Northwestern Switzerland , affiliated with the School of Engineering and Environment . He works at the intersection of digital microelectronics, algorithm development, and hardware verification using VHDL. Role: Research associate and lecturer in digital design Expertise: FPGA/ASIC implementation, architecture development, functional safety standards (DO-254) His research focuses on digital microelectronics , emphasizing practical implementation from concept to real-world deployment. He also contributes to functional safety verification frameworks in industrial applications. Stefan supervises Master projects in digital microelectronics and teaches VHDL programming and digital design methodologies.

• Discrete-time analog circuits
• Phase-locked loops (PLL)
• Low power circuit design
• +۳ مورد دیگر

Markus Dietl is a researcher at the Technical University of Munich affiliated with the Chair of Circuit Design (Prof. Brederlow). He holds a Dipl.-Ing. degree from TUM and has over 25 years of industry experience as a microchip designer at Texas Instruments, specializing in precision amplifiers and clock generators. Currently, he is pursuing doctoral research focused on discrete-time analog circuits and PLL optimization. Education: Studied at TU Munich (1989-1995) Industry Experience: 25 years at Texas Instruments (Freising) His research interests center on discrete-time analog circuits and phase-locked loop (PLL) design , with particular emphasis on reducing power consumption, minimizing die size, and optimizing capacitance requirements. Recent publications highlight innovations in semi-digital PLLs, bandwidth tracking, and jitter reduction techniques across various CMOS technologies. Key publication trends include: Capacitance reduction techniques (loop filter optimization) Low-power and area-efficient PLL architectures Jitter minimization and temperature compensation Advancements in semi-digital circuit integration As part of his academic role, Dietl has supervised international master's students from Germany, USA, Sweden, Italy, and India, collaborating with universities in Ulm, Stuttgart, Paderborn, and Munich.

Jennifer S. Linvillمشاهده پروفایل

استادیار

• Workforce development
• STEM education
• Microelectronics engineering
• +۶ مورد دیگر

Jennifer S. Linvill is an Assistant Professor in the Department of Technology Leadership & Innovation at the Purdue Polytechnic Institute, Purdue University. Her research advances workforce development at the intersection of policy, practice, and institutional coordination in emerging technical domains. Dr. Linvill leads qualitative and mixed-methods research efforts focused on assessing workforce needs and technical skill gaps across national public-private-academic ecosystems in STEM-related sectors including microelectronics engineering, cybersecurity, and artificial intelligence. Dr. Linvill earned her Ph.D. and Master's degree in Organizational Communication and Bachelor's degree in Law and Society, all from Purdue University. Previously serving as the Institutional Review Board (IRB) Administrator at Purdue, she brings deep expertise in research ethics and regulatory compliance to her current work. Her research has directly informed federal policy and workforce development strategies, notably through co-creating a certification framework for microelectronics engineering workforce competencies that has shaped curriculum development nationwide. Dr. Linvill serves as co-principal investigator on the Department of Defense-funded SCALE production team, a $10.8 million initiative focused on developing the next generation of microelectronics engineers for national security. Her recent work examines radiation hardening for defense applications and professional skills certification frameworks, with publications spanning workforce development, organizational communication, and STEM education. She presented her research on defense microelectronics workforce development at Purdue President Mung Chiang's Westwood Lecture Series in September 2024. John P. Lisack Early-Career Engagement Award (2023-2024) Outstanding Faculty in Discovery in the Department of Technology Leadership & Innovation (Spring 2023 and Spring 2024) Purdue University Bravo Award - Department of Defense-funded SCALE Recognition Award (Spring 2024) SCALE recognition award for contributions to SCALE and nanoHUB Dr. Linvill's research portfolio demonstrates a strong commitment to bridging education and industry needs, with particular emphasis on creating career-ready engineering graduates through evidence-based workforce assessments. Her work spans multiple sectors including academia, government, and industry, creating a comprehensive approach to workforce development challenges in emerging technical fields.

R. Bruce Eldridgeمشاهده پروفایل

مدرس ارشد

• Separations Technologies
• Distillation
• Extraction
• +۳ مورد دیگر

R. Bruce Eldridge serves as Program Head of the Process Science and Technology Center and Distinguished Senior Lecturer in the Department of Chemical Engineering at The University of Texas at Austin, specializing in industrial separations technologies development. His academic credentials include: Ph.D. in Chemical Engineering, The University of Texas at Austin (1986) M.S. in Chemical Engineering, University of Arkansas (1981) B.S. in Chemical Engineering, University of Arkansas (1980) His research program spans three interconnected domains: Traditional separations technologies focusing on mechanistic modeling of distillation and extraction processes; Novel separations technologies targeting reduced energy consumption and capital costs through selective methods; and New applications of established techniques in emerging fields like biotechnology and microelectronics fabrication. This work addresses fundamental mass transfer and hydraulic challenges while developing practical industrial solutions. His distinguished honors comprise: Fellow, American Institute of Chemical Engineers (2010) University of Arkansas Academy of Chemical Engineering (2008) TEAChE undergraduate teaching award (2015, 2009) Young Engineer of the Year awards from Oklahoma Society of Professional Engineers and Bartlesville Chapter (1993) As Program Head, Eldridge leads the Separations Research Program (SRP) and Process Science and Technology Center (PSTC), directing collaborative research with industry partners on critical separation challenges. His work bridges theoretical modeling with practical implementation across chemical engineering applications, emphasizing sustainable process design and educational excellence through undergraduate mentorship.

• Robotics
• Artificial Intelligence
• Cognitive Science
• +۴ مورد دیگر

Vishwanathan Mohan is a Lecturer (US equivalent: Assistant Professor) in Robotics and Artificial Intelligence at the University of Essex, UK. He was formally trained in Microelectronics and VLSI design at the Indian Institute of Technology Madras, and his scientific career began with neuromorphic VLSI models of associative memories. Education: Indian Institute of Technology Madras (Microelectronics and VLSI design) His research focuses on human-robot symbiosis, cognitive robotics, and embodied language learning. Key themes include goal-directed reasoning, cooperative robotics in shared workspaces, and neural frameworks for memory and body schema organization in robots. His work spans applications in industrial and humanoid robotics. Recent publications highlight neural models for social cognition, physical reasoning, and episodic memory systems. Collaborators include notable researchers such as Giulio Sandini and Pietro Morasso from the Italian Institute of Technology. As a Guest Associate Editor for Frontiers in Neurorobotics, he contributes to editorial roles. No scientific awards or advising details were explicitly mentioned in the available text.

Hilde Hardtdegenمشاهده پروفایل

پژوهشگر

• Nanomaterials characterization
• Optoelectronics
• Thin film growth
• +۳ مورد دیگر

Dr. Hilde Hardtdegen is a scientific staff member at the Ernst Ruska Center for Electron Microscopy and Spectroscopy (ER-C) within the Research Center Jülich GmbH . Her work focuses on the characterization of nanomaterials for applications in information technology and energy systems. Institution: Research Center Jülich GmbH Division: Ernest Ruska Center (ER-C) Department: Materials Science and Engineering (ER-C-2) Research interests include: Metalorganic gas phase epitaxy of III-V semiconductors and III-nitrides Optoelectronic and structural characterization of nanostructures Correlative analysis of functional properties (Raman/photoluminescence) with atomic structure via transmission electron microscopy In situ optical characterization during thin film growth Her work addresses fundamental and applied aspects of nanomaterials for advanced technologies, particularly in energy and microelectronics. Laboratory affiliation: Applied Nanomaterials group at ER-C-2 (Building 05.7, Room 2010).

• Neuroscience
• Biomedical Engineering
• Nanotechnology
• +۳ مورد دیگر

Dr. Scott GREENHORN is a Research Fellow at Grenoble Institute of Technology, affiliated with the College of Microelectronics and Nanotechnology Engineering (CMNE). His research focuses on the development of implantable silicon carbide (SiC) electrode arrays for brain-machine interfaces (BMI) within the ANR SiCNeural project, a collaboration between LMGP, IMEP-LaHC, and FORTH, Heraklion. His work encompasses material and device characterization, optimization of device-tissue interfaces, and integration of nanowire networks for in vivo applications.

Olivier Fercoqمشاهده پروفایل

استاد

• First-order optimization algorithms
• Primal-dual methods
• Coordinate descent methods
• +۷ مورد دیگر

Olivier Fercoq is a Professor at Télécom Paris in the Information Processing and Communication Laboratory (LTCI) . He holds a PhD in Applied Mathematics from École Polytechnique (2012) and a Master's degree from Paris 6 and ENSTA Paris. His research focuses on first-order optimization algorithms , primal-dual methods , coordinate descent , and applications in web ranking , chronotherapy for cancer , and statistical learning . Education : PhD in Applied Mathematics (École Polytechnique), Master's (Paris 6), Engineering degree (ENSTA Paris) Research Themes : Optimization for machine learning, primal-dual algorithms, web ranking, chemotherapy scheduling His recent work spans stochastic optimization , nonconvex-nonconcave minimax problems , and scalable semidefinite programming . Articles highlight advancements in primal-dual coordinate descent , power-aware signal processing , and duality gap analysis . Awards include the IMA Leslie Fox Prize (2015) and the Gaspard Monge PhD Thesis Award (2013) . Olivier has supervised numerous PhD students including Eyal Vayness (2024-), Iyad Walwil (2022-), and Eugène Ndiaye (2016-2018). He organized the Paris-Saclay Junior Conference on Data Science and Engineering (2018) and co-led the workshop Optimization, Distributed Computation, and Machine Learning (2016) . His software contributions include APPROX for parallel coordinate descent and tools for scikit-learn .

• Microelectronics Technology
• Nanoelectronics Technology
• Photovoltaic Technology
• +۴ مورد دیگر

Dr. Philippos Farmakis is an Assistant Professor at the Department of Electrical and Computer Engineering , Democritus University of Thrace , Greece. He has held academic positions since 2012 and continues active research in microelectronics, photovoltaics, and energy storage technologies. PhD (2000) and Master's (1997) in Physics from Grenoble INP, France BSc in Physics (1996) from Aristotle University of Thessaloniki His research interests focus on: Microtechnology & Nanotechnology Thin film deposition for photovoltaics Advanced lithium-ion battery materials 2D materials engineering Chemical sensor development He has led multiple research programs funded by the European Space Agency and General Secretariat for Research and Technology, including projects on: Safe high-energy lithium-ion cells (SHELION) Space exploration batteries Low-temperature solid electrolytes Scientific contributions include: Best Paper Awards at SEST 2022 and MEDPOWER 2020 conferences NASA Letter of Appreciation Recognition in global scientist rankings As a faculty member, he teaches courses in: Physics and Materials Science Microelectronic Technology Large Area Microelectronics He works in the Microtechnology and Nanotechnology Laboratory , specializing in thin-film technologies for energy and sensing applications.

• Molecular electronics
• Nanoelectronics
• Nanophysics
• +۳ مورد دیگر

Yuri Ardesi is a Fixed-term Assistant Professor at the Department of Electronics and Telecommunications (DET) of Politecnico di Torino. His research focuses on molecular electronics, nanoelectronics, and nanophysics with specific applications in field-coupled nanocomputing and sustainable microelectronics education. Scientific sector: IINF-01/A - Electronics ERC sectors: PE3_12 (Molecular electronics), PE3_10 (Nanophysics) SDGs: Quality education, Industry innovation, Responsible consumption Research Highlights include developing computational models for single-molecule optoelectronic devices, investigating field-coupled nanocomputing architectures, and exploring sustainable microelectronics education ecosystems. His recent work analyzes hydrogen passivation for metal deposition and molecular ensemble electrostatics. Scientific Awards Learning to Teach (L2T) Open Badge for educational innovation Teaching Roles span multiple academic years (2019-2025) across: Master's Degree: Technology for Nanoelectronic Systems Bachelor's Degree: Digital Systems Electronics Workshop: Innovative Systems