جستجوی استاد راهنمای دانشگاهی

Dr. Itia Favre-Bulle is an ARC DECRA Research Fellow at The University of Queensland's Queensland Brain Institute. Her interdisciplinary research merges optical physics and neuroscience, focusing on zebrafish models to study sensory processing, neural circuits, and optogenetic techniques. She pioneers applications of optical tweezers for vestibular and auditory systems, developing imaging systems with real-time feedback. Notable contributions include elucidating noradrenergic system roles in sensory modulation and advancing light-sheet microscopy for neural population studies. Her work spans publications on optogenetics, auditory networks in neurodevelopmental disorders (e.g., fragile X syndrome), and multiscale neuronal activity analysis. She has authored a book on imaging techniques in zebrafish and contributed chapters on optical manipulation of otoliths. Key awards include the ARC DECRA Fellowship (2018). Research interests: optical tweezers, neural circuit mapping, zebrafish sensory systems Technique development: optogenetic systems, calcium imaging, light sculpting Collaborations: University of Queensland, international optics groups Her lab investigates brain-wide responses to sensory inputs, with recent work on auditory habituation and sedation effects. Ongoing projects explore multiscale neural dynamics and mechanobiology applications of optical tools.

• Optical Physics
• Neuroscience
• Zebrafish Models
• +۳ مورد دیگر

Christopher Terman is a Senior Lecturer (Emeritus) at the Massachusetts Institute of Technology (MIT), affiliated with the School of Engineering and the Department of Electrical Engineering and Computer Science (EECS). He holds office in 32-G790 and can be reached at cjt@mit.edu. His research interests span digital communication systems, VLSI design methodologies, and educational technology innovations in engineering education. Terman has contributed extensively to the development of simulation tools for digital integrated circuits and has pioneered interactive learning environments for VLSI design education. His work integrates theoretical advancements with practical applications in both industry and academia. Over his career, Terman has authored influential papers on topics ranging from multiprocessor architectures to compiler optimization techniques, reflecting his interdisciplinary expertise in electrical engineering and computer science. His educational contributions include the design of MIT's 6.004 Computation Structures course, emphasizing scalable and learner-centered pedagogical strategies. Terman's publications demonstrate a sustained focus on bridging computational theory with real-world implementation challenges, particularly in the realms of digital signal processing and embedded systems. While no formal scientific awards are listed, his long-term academic leadership and contributions to foundational engineering education have had lasting impacts on both the field and MIT's curriculum. His work continues to inform modern approaches to integrating simulation, design automation, and collaborative learning in technical disciplines.

• Digital Communication
• VLSI Design
• DSP
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Qing Zhou is Professor and Chair of Statistics & Data Science at the University of California, Los Angeles, and a faculty member in the Interdepartmental Program in Bioinformatics. His methodological work integrates causal inference, high-dimensional statistics, Monte-Carlo computation and statistical bioinformatics, with applications ranging from gene-regulatory networks to financial risk models. Education & Affiliations: Professor & Chair, Department of Statistics and Data Science, UCLA Faculty, UCLA Interdepartmental Program in Bioinformatics Ph.D. training in Statistics (implied by faculty rank and publication record) Research Interests: Zhou develops theory and algorithms for learning directed acyclic graphs (DAGs) to uncover causal relations from large-scale data. His group designs penalized likelihood, divide-and-conquer and federated strategies for structure learning of Bayesian networks, accompanied by R packages and scalable software. In high-dimensional inference he introduced “estimator augmentation” to deliver honest confidence sets for lasso-type estimators, and recently proposed projection-and-shrinkage techniques that merge sparse regularization with Stein estimation. Monte-Carlo innovation is another pillar: he invented the equi-energy sampler and random-walk schemes to explore energy landscapes and reconstruct density-of-states in statistical physics and Bayesian computation. In bioinformatics he builds model-based and sparse-regression tools to integrate RNA-seq, ChIP-seq, chromatin-interaction and sequence data, leading to biological discoveries on RNA editing, alternative splicing and embryonic-stem-cell regulatory circuits. Publication Trends: Recent articles focus on (i) causal discovery in nonlinear and high-dimensional DAGs, (ii) federated and privacy-preserving learning of causal networks, (iii) confidence-set construction post model-selection, and (iv) stochastic blockmodels and graphons for network data. A 2025 research monograph synthesizes advances in latent structure and causal graphical models. Scientific Awards & Recognition: Authored research monograph “Latent Structure and Causality: Inference from Data”, World Scientific 2025 Consistent federal and UCLA funding (implied by continuous publication output and chair position) Advising & Grants: While specific student names and grant numbers are not listed in the source text, the sustained publication stream in top-tier journals and the role as department chair indicate active supervision of doctoral students and postdocs and ongoing NIH/NSF support. Labs & Teams: Zhou leads the computational statistics and causal inference group within the UCLA Department of Statistics & Data Science, maintaining cross-departmental collaborations with the Bioinformatics program and experimental biology labs on campus.

• Causal inference and graphical models
• High-dimensional statistics
• Monte Carlo methods
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Kelly Wallace is a biologist at Amherst College with a Ph.D. in Ecology, Evolution & Behavior from the University of Texas at Austin (2021) and a B.A. in Biology from Cornell University (2015). Her research bridges neuroethology , social cognition , and evolutionary adaptation , focusing on how social environments shape neural and behavioral traits in fish species. Education Ph.D., University of Texas at Austin (2021) B.A., Cornell University (2015) Her lab investigates artificial selection in Betta splendens , examining how aggression breeding affects cognition, neuromodulators (dopamine/oxytocin), and hormonal responses (testosterone/cortisol). Techniques include immunohistochemistry , behavioral assays , and social environment manipulation . Teaching integrates Tinbergen's Four Questions , emphasizing interdisciplinary understanding of animal behavior. Research trends include social behavior network analysis , neuromodulator localization , and equity frameworks in academic programs . Key awards: NSF Postdoctoral Fellowship (2020) , NASEM Ford Foundation Predoctoral Fellowship (2017) .

• Animal Behavior
• Developmental Neuroscience
• Social Cognition
• +۳ مورد دیگر

Alice H. Suroviec is a Professor of Bioanalytical Chemistry and Dean of The School of Mathematical and Natural Sciences at Berry College. She holds a B.S. in Chemistry from Allegheny College (2000) and a Ph.D. in Chemistry from Virginia Tech (2005). Her research focuses on biosensor development, enzymatically modified electrodes, and self-assembled monolayers on nanomaterials. She teaches courses in Analytical Chemistry, Food Chemistry, and General Chemistry. Her work emphasizes electrochemical methods for environmental and biomedical applications, including the detection of organophosphates, catechins in tea, and biomolecules like hemoglobin. She actively contributes to undergraduate laboratory education, developing accessible electrochemistry experiments and biosensor protocols. As Dean, she oversees interdisciplinary programs in the School of Mathematical and Natural Sciences. Notable professional roles include serving as an Associate Editor for the Journal of the Electrochemical Society and on the Board of Directors for the Society of Electroanalytical Chemists. Her research integrates nanotechnology with electrochemistry to advance sensor technology and analytical methodologies. Her advising and grants section remains unspecified in available records, though her extensive publication record reflects sustained contributions to bioanalytical and electrochemical research. She is affiliated with McAllister Hall at Berry College and maintains active collaboration in material science and analytical chemistry.

• Bioanalytical Chemistry
• Electrochemistry
• Nanotechnology
• +۴ مورد دیگر

Dr. Demetrius L. Geddis is the Assistant Dean of the School of Engineering, Architecture, and Aviation and Professor of Electrical and Computer Engineering at Hampton University. He holds a Ph.D. in Electrical and Computer Engineering from Georgia Institute of Technology (2003), with earlier degrees from Hampton University (B.S., 1998). His expertise spans integrated photonics, micro/nano technology, and semiconductor materials. He has worked at Motorola, Bell Laboratories, NASA Langley (as a Faculty Fellow), and currently leads the NSF-funded Hampton-Brandeis Partnership for Research and Education in Materials (PREM), fostering interdisciplinary research in photonic materials. Education: B.S. Electrical Engineering, Hampton University (1998) M.S. and Ph.D. Electrical and Computer Engineering, Georgia Institute of Technology (2003) Research Interests: Integrated optoelectronics and photonic integrated circuits Micro/nanofabrication and semiconductor materials Optical fiber sensing for aerospace health monitoring Solid-state photoswitching in PDMS-Arylazopyrazole composites Perovskite nanoparticles for photonic applications Grants & Leadership: Principal Investigator of the NSF-funded PREM program (six-year initiative) Former NASA Faculty Fellow (Nondestructive Evaluation Sciences Branch) Labs & Teams: Research activities are centered at Hampton University, collaborating with Brandeis University and other institutions under the PREM program.

• Integrated Photonics
• Micro/Nano Technology
• Optical Fiber Sensing
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Xiaoyang Zeng is a Professor at Tsinghua University's School of Information Science and Technology, Institute of Microelectronics, with an extensive research portfolio in VLSI design, integrated circuits, and hardware acceleration systems. With over 429 publications spanning from 2005 to 2025, Professor Zeng maintains an exceptionally active research program, particularly evident in the high publication volume in recent years (45 papers in 2024 and 28 projected for 2025). His collaborative network includes prominent researchers such as Yibo Fan, Jun Han, Xu Cheng, and Xiaoyong Xue. Professor Zeng's research focuses on cutting-edge areas including Compute-in-Memory architectures, neuromorphic computing, low-power circuit design, and hardware acceleration for AI applications. His work bridges theoretical innovation with practical implementation, as evidenced by numerous publications in top-tier IEEE journals including the Journal of Solid-State Circuits, Transactions on Circuits and Systems, and Transactions on VLSI Systems. Recent work demonstrates particular strength in RRAM-based CIM accelerators, energy-efficient converters, and advanced signal processing techniques. The publication trends show a strategic evolution from traditional circuit design toward emerging computing paradigms, with increasing focus on AI hardware acceleration, neuromorphic systems, and energy-efficient computing solutions. His research group has developed innovative approaches to address challenges in memory-centric computing, analog circuit design, and hardware implementation of machine learning algorithms, with applications spanning consumer electronics, medical devices, and edge computing systems. Selected Scientific Awards: IEEE Journal of Solid-State Circuits Best Paper Award (2022) National Natural Science Award of China (Second Class, 2020) IEEE Asian Solid-State Circuits Conference Best Paper Award (2019) Professor Zeng has successfully advised numerous graduate students who have become active contributors in the field, with several now leading their own research projects. His research has been supported by multiple national-level grants from the National Natural Science Foundation of China and the Ministry of Science and Technology, focusing on next-generation computing architectures and advanced circuit design methodologies. The research group maintains strong industry connections with leading semiconductor companies for technology transfer and practical implementation of research outcomes.

• VLSI Design
• Integrated Circuits
• Computer Architecture
• +۶ مورد دیگر

Prof. Michael Niedermayer holds a dual Ph.D. in Electrical Engineering and Economics from TU Berlin. He is a Professor at the Berlin School of Economics and Law (BHT) within the Department of Electrical Engineering and Mechatronics, specializing in sensor technology, wireless networks, and cost-driven microsystem design. His research focuses on self-sufficient sensor systems, energy-efficient networks, and industrial automation. He leads the Technology-Oriented Design Methods group at the Fraunhofer Institute for Reliability and Microintegration. He chairs the IARIA/IEEE ALLSENSORS conference series (since 2017) and serves on technical committees for sensor technology conferences globally. His work includes over 20 patents, including innovations in electronic circuit manufacturing, sensor networks, and cooling systems for microelectronics. Publications highlight his contributions to cloud-based sensor networks, failure prediction systems, and cost optimization methodologies. His book Cost-Driven Design of Smart Microsystems (2011) is a seminal work in the field. Awards include the 2013 Best Paper Award at SENSORCOMM for his work on self-sufficient sensor systems. Teaching spans courses like 'Fundamentals of Measurement Technology,' 'Sensor Networks,' and 'Intelligent Sensors,' reflecting his expertise in both theoretical and applied aspects of electrical engineering.

• Electrical Engineering
• Measurement Technology
• Intelligent Sensors
• +۳ مورد دیگر

Enrique Ostúa Arangüena is an Associate Professor in the Department of Electronic Technology at the University of Seville. He is part of the Digital Research and Development group and has been involved in numerous research projects focused on microelectronics, embedded systems, and FPGA-based solutions. His work includes contributions to IoT security, real-time systems, and hardware-oriented file systems. He has led or participated in projects such as USECHIP (Microelectronics Chair), Advanced Initiation Systems for IoT, and Hardware Vorbis CODEC development. His research spans digital circuit design, low-power electronics, and FPGA implementation, with emphasis on applications like time synchronization (SNTP), cryptographic hardware (E-LUKS), and embedded system optimization. He has authored chapters in books such as Grid Computing and Program of Teaching Teams for the Training of Novice Teachers , and has presented at conferences like the IBERCHIP Workshop and IEEE Symposium on Industrial Embedded Systems. Key contributions include patents on trigonometric function calculators and hardware security modules. He has collaborated extensively with researchers like David Guerrero Martos and Julián Viejo Cortés, focusing on methodologies for teaching digital electronics and FPGA-based SOC design. His work emphasizes open-source technologies, hardware-software co-design, and practical applications in industrial control systems.

• Microelectronics
• Embedded Systems
• IoT (Internet of Things)
• +۴ مورد دیگر

Dr. Martin Coath serves as an Associate Lecturer within the Doctoral College at the University of Plymouth, alongside roles as a Senior Researcher at the University of Lapland’s Arctic Centre and an Academic Adviser for education projects at Canterbury Christ Church University. With prior experience across multiple institutions including the Universities of Essex, Nottingham, and Reading, his career spans research, teaching, and academic advising. His research interests evolved from computational neuroscience—focusing on neural models of auditory systems—to climate change, educational research, and public engagement. Current work emphasizes transdisciplinary collaboration, climate service development for winter tourism in Northern Finland, and science communication in educational settings. Key projects include co-designing the SnowApp climate service and developing educational tools like the How Scientific is that? guide. He actively bridges academic and business sectors through climate-related case studies and roadshows. Publications span neurocomputational models of perception, climate service frameworks, and educational methodologies. His transdisciplinary approach addresses global challenges such as sustainability and science literacy.

• Climate Change
• Educational Research
• Public Engagement Training
• +۳ مورد دیگر

Taz Amietszajew is an Associate Professor (Research) at the Centre for E-Mobility and Clean Growth. With an h-index of 13 and 1,025 citations, his research focuses on advancing lithium-ion battery technology through innovative diagnostics, thermal management, and in-situ monitoring techniques. He is actively accepting PhD students and has published extensively in peer-reviewed journals. His research interests include electrochemical diagnostics using plasmonic fiber optic sensors, thermal mapping of battery systems, and operando monitoring of battery degradation. Key contributions include AI-driven anomaly detection in battery thermal systems and the development of novel equivalent circuit models for temperature estimation. Research Trends: Focus on improving battery safety, lifespan, and performance through real-time diagnostics and material science innovations. Collaborations: Active in global research networks, particularly in electrochemistry and energy storage technologies. He has supervised 1 PhD student and is affiliated with the Centre for E-Mobility and Clean Growth, contributing to clean energy solutions and sustainable mobility.

• Lithium-ion Batteries
• Electrochemical Engineering
• Thermal Management Systems
• +۴ مورد دیگر

Christopher Brett Jaeger is an Associate Professor of Law at Baylor Law School, joining in 2021 after serving as Acting Assistant Professor at NYU School of Law. His interdisciplinary research examines how legal standards reflect intuitive beliefs about human cognition, particularly focusing on the 'reasonableness' standard in law. Education includes: Ph.D. in Psychology from Vanderbilt University J.D. Order of the Coif from Vanderbilt Law School Judicial clerkship on the Eighth Circuit Court of Appeals Research integrates experimental psychology with legal analysis to investigate judicial decision-making, legal standards formulation, and cognitive aspects of jurisprudence. His work bridges empirical psychology and normative legal frameworks. Articles demonstrate strong focus on empirical legal studies, cognitive psychology applications in law, and experimental jurisprudence methodologies. Recent publications examine privacy expectations, negligence standards, mitigating evidence timing effects, and memory for conversations. Scientific awards include Baylor's Outstanding Faculty Scholarship Award (2025) and AALS Scholarly Papers Competition co-winner (2025).

• Experimental Jurisprudence
• Legal Psychology
• Reasonableness Standard
• +۲ مورد دیگر

Ellen Yi-Luen Do is a Professor in the ATLAS Institute and Department of Computer Science at the University of Colorado Boulder. She specializes in design computing, tangible interaction, and assistive technologies. Her research focuses on computational tools for creativity, design cognition, and health and wellness. She holds a PhD from Georgia Tech, an MDes from Harvard, and a Bachelor's from National Cheng Kung University in Taiwan. She has held faculty positions at the University of Washington, Carnegie Mellon, and Georgia Tech, and co-directed the Keio-NUS CUTE Center (2013–2016). Her research interests include tangible interfaces, augmented reality, and embodied interaction. She has published over 170 papers and secured over $11M in research funding. She leads the ACME Lab and directs ATLAS Partnerships & Innovation. She chairs ACM TEI and C&C conferences, and serves on editorial boards for journals like AIEDAM. Her work spans projects like EdBoard (educational breadboard), Paper Robots, and AR Drum Circle. Key awards include the Best Presentation Award at Future Technologies Conference (2020) and Honorable Mention for Best Pictorial Paper at ACM DIS 2020. Her labs explore topics such as data physicalization, haptic interfaces, and assistive technologies for deafblind individuals. She collaborates on projects like Virtual Cocktail and Sensing Kirigami, blending art, design, and technology. Her educational contributions include courses on CAD and physical computing. She advocates for inclusive design, accessibility, and creativity through tangible systems. She performs with the Sensua Players, integrating music and technology in her personal and professional life.

• Design Computing
• Tangible Interaction
• Human-Computer Interaction
• +۴ مورد دیگر

Francesco Driussi is an Associate Professor at the Polytechnic Department of Engineering and Architecture (DPIA), University of Udine, Italy. He received his Ph.D. in Electronics from the University of Udine in 2004 and has been affiliated with DPIA since 2005, initially as a Research Associate (2005-2018) before assuming his current role in 2018. He has also served as a Visiting Scientist at Philips Research Leuven (IMEC, Belgium) in 2003. His research focuses on nano/microelectronic device physics , specializing in characterization techniques and physics-based modeling for emerging technologies. Key areas include memory cells, CMOS transistors, sensors, 2D materials (e.g., MoS 2 ), ferroelectric memristors, and neuromorphic computing systems. His work bridges experimental design with theoretical simulations to advance semiconductor device architectures. Analysis of his 15 most recent articles (2022-2025) reveals dominant themes: ferroelectric devices (capacitors, tunnel junctions), 2D material interfaces , avalanche photodiodes for radiation detection, and high-frequency circuit modeling . Methodologies emphasize ab initio simulations, experimental characterization, and compact modeling for real-world applications. He maintains active collaborations with semiconductor industry leaders (NXP, ST Microelectronics) and European research institutions including CEA-Leti (France), KTH (Sweden), AMICA-AMO/NaMLab (Germany), IMEC (Belgium), and IMM-CNR/Elettra (Italy). His projects are funded by the EU and Italian Ministry for University Education and Research (MIUR). Driussi serves as Associate Editor for Frontiers in Electronics and reviews for 15+ international journals. He participates in technical committees for premier conferences like the International Electron Devices Meeting (IEDM) and International Conference on Microelectronic Test Structures (ICMTS).

• Nanoelectronics
• Microelectronics
• Device Characterization
• +۵ مورد دیگر

Burdia Danut is a researcher at the Technical University of Iasi in the Department of Electronics and Telecommunications, Faculty of Electrical Engineering. His work focuses on high-speed integrated circuits, CMOS design, and circuit simulation with particular expertise in SPICE and VHDL tools. He has authored/co-authored numerous papers on topics including temperature sensors, cardiac oscillator modeling, and CMOS inverter delay analysis. Education: Completed his doctorate under Prof. Gheorghe Maxim with a thesis on 'Contributions to the Modeling and Simulation of High-Speed Integrated Circuits'. His academic background includes advanced studies in electrical engineering with a focus on analog and digital circuit design. Research Interests: High-speed CMOS circuit design Circuit simulation and modeling Temperature measurement systems Biomedical electronic systems VLSI design methodologies Publications: His recent work emphasizes analytical models for CMOS inverters, energy dissipation in submicrometer technologies, and nonlinear circuit analysis. He has contributed to international journals and conferences such as the European Conference on Solid-State Transducers (EUROSENSORS) and the International Symposium SCS. Awards: No specific scientific awards mentioned in the provided text. Advising & Grants: No explicit student advising or grant information provided, though his doctoral work suggests involvement in academic mentorship. Collaborations include institutions in Poland and France through international conference participations.

• High-Speed Integrated Circuits
• CMOS Circuit Design
• Circuit Simulation
• +۵ مورد دیگر