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SUNMONTUEWEDTHUFRISAT
Events for the 4th week of April
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ITEMS Seminar - Claudia Cea, Tuesday, April 23rd at 11:15am in EEB 132 & Zoom
Tue, Apr 23, 2024 @ 11:15 AM - 12:30 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Claudia Cea, Massachusetts Institute of Technology
Talk Title: Conformable Neuroelectronics
Abstract: The diversity of network disruptions that occur in patients with neuropsychiatric disorders creates a strong demand for personalized medicine. Such approaches often take the form of implantable bioelectronic devices that are capable of monitoring pathophysiological activity for identifying biomarkers to allow for local and responsive delivery of intervention. They are also required to transmit this data outside of the body for evaluation of the treatment's efficacy. However, the ability to perform these demanding electronic functions in the complex physiological environment with minimum disruption to the biological tissue remains a big challenge. An optimal fully implantable bioelectronic device would require each component from the front-end to the data transmission to be conformable and biocompatible. For this reason, organic material-based conformable electronics are ideal candidates for components of bioelectronic circuits due to their inherent flexibility, and soft nature. Throughout her research, Claudia pioneered the development of the first all-flexible, standalone neural recording device, composed entirely of soft, biocompatible components. This device enabled recordings at the level of individual neurons and facilitated real-time detection of epileptic discharges in vivo. The wireless data and power transfer system operated on an innovative ion-based communication method, allowing for wireless operation in freely moving animals. Unlike conventional silicon-based devices, every component of this system is soft, conformable, and biocompatible, ensuring long-term performance stability and low-voltage operation to prevent tissue damage. This fully soft and conformable implant enabled recording and transmission of high- resolution neural activity from both the cortical surface and deep within the brain.
Biography: Claudia Cea earned her B.S. in Biomedical Engineering from the University of Pisa and completed her M.Sc. in Bioengineering in San Diego, where she focused on developing innovative origami-based neural probes for both epidural and intradural recording and neurotransmitter detection. She then pursued a Ph.D. in Electrical Engineering at Columbia University, specializing in the creation of fast and sensitive soft bioelectronics that that interact with signals generated by the neural tissue. Notably, she developed the first fully-flexible, standalone neuroelectronic devices using organic electrochemical transistors, composed entirely of soft, biocompatible materials-including integrated power supply and data transmission-for high- resolution recordings. Currently, she is a postdoctoral associate in the Bioelectronics group under Professor Polina Anikeeva at MIT, working on developing novel soft bioelectronic devices to explore electrophysiology in the gut-brain axis.
Host: Keck - Gianluca Lazzi
More Information: Claudia Cea Flyer.pdf
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
Audiences: Everyone Is Invited
Contact: Marilyn Poplawski
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ECE Seminar: Dr. Yuejie Chi, "Solving Inverse Problems with Generative Priors: From Low-rank to Diffusion Models"
Wed, Apr 24, 2024 @ 10:00 AM - 11:00 AM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Yuejie Chi, Sense of Wonder Group Endowed Professor in AI Systems | Department of Electrical and Computer Engineering | Carnegie Mellon University
Talk Title: Solving Inverse Problems with Generative Priors: From Low-rank to Diffusion Models
Abstract: Generative priors are effective countermeasures to combat the curse of dimensionality, and enable efficient learning and inversion that otherwise are ill-posed, in data science. This talk begins with the classical low-rank prior, and introduces scaled gradient descent (ScaledGD), a simple iterative approach to directly recover the low-rank factors for a wide range of matrix and tensor estimation tasks. ScaledGD provably converges linearly at a constant rate independent of the condition number at near-optimal sample complexities, while maintaining the low per-iteration cost of vanilla gradient descent, even when the rank is overspecified and the initialization is random. Going beyond low rank, the talk discusses diffusion models as an expressive data prior in inverse problems, and introduces a plug-and-play posterior sampling method (Diffusion PnP) that alternatively calls two samplers, a proximal consistency sampler solely based on the forward model, and a denoising diffusion sampler solely based on the score functions of data prior. Performance guarantees and numerical examples will be demonstrated to illustrate the promise.
Biography: Dr. Yuejie Chi is the Sense of Wonder Group Endowed Professor of Electrical and Computer Engineering in AI Systems at Carnegie Mellon University, with courtesy appointments in the Machine Learning department and CyLab. She received her Ph.D. and M.A. from Princeton University, and B. Eng. (Hon.) from Tsinghua University, all in Electrical Engineering. Her research interests lie in the theoretical and algorithmic foundations of data science, signal processing, machine learning and inverse problems, with applications in sensing, imaging, decision making, and generative AI. Among others, Dr. Chi is a recipient of the Presidential Early Career Award for Scientists and Engineers (PECASE), the inaugural IEEE Signal Processing Society Early Career Technical Achievement Award for contributions to high-dimensional structured signal processing, and multiple paper awards including the SIAM Activity Group on Imaging Science Best Paper Prize and IEEE Signal Processing Society Young Author Best Paper Award. She is an IEEE Fellow (Class of 2023) for contributions to statistical signal processing with low-dimensional structures.
Host: Dr. Richard Leahy, leahy@usc.edu
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
Audiences: Everyone Is Invited
Contact: Mayumi Thrasher
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AAI-CCI-MHI Seminar on CPS
Wed, Apr 24, 2024 @ 02:00 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Rose Faghih, Associate Professor New York University
Talk Title: Smartwatch-Brain Interface Architectures for Mental Well-Being and Productivity
Series: EE598 Seminar Series
Abstract: Smartwatch-like wearables have enabled seamless tracking of vital signs and physical activities. An unexploited capability is that the pulsatile physiological time series collected by wrist-worn wearable devices can be used for recovering internal brain dynamics. We design algorithms for a closed-loop brain-aware wearable architecture called MINDWATCH for tracking and regulating neurobehavioral states of arousal and performance. This closed-loop smartwatch-brain interface framework includes (1) an inference engine for recovering arousal-related autonomic nervous system (ANS) activations, (2) Bayesian state-space decoders for tracking cognitive arousal and performance states, (3) control algorithms for maintaining these neurobehavioral states within desired ranges, and (4) neurofeedback experiments for closing the loop via safe actuation. The methods are validated by analyzing experimental data as well as simulation studies. Results demonstrate a promising approach for tracking and regulating neurocognitive arousal and performance states through wearable devices. Since smartwatches can be used conveniently in one’s daily life, smartwatch-brain interface architectures have a great potential to monitor and regulate one’s neurocognitive stress seamlessly in real-world situations.
Biography: Rose T. Faghih is an associate professor of Biomedical Engineering at the New York University (NYU) where she directs the Computational Medicine Laboratory within the NYU Langone Health's Tech4Health Institute. She received a bachelor’s degree (summa cum laude) in Electrical Engineering (Honors Program Citation) from the University of Maryland, and S.M. and Ph.D. degrees in Electrical Engineering and Computer Science with a minor in Mathematics from Massachusetts Institute of Technology (MIT). She completed her postdoctoral training at the Department of Brain and Cognitive Sciences and the Picower Institute for Learning and Memory at MIT as well as the Department of Anesthesia, Critical Care and Pain Medicine at the Massachusetts General Hospital. Rose is the recipient of various awards including a 2023 National Institutes of Health (NIH) Maximizing Investigators' Research Award for Early-Stage Investigators, a 2020 National Science Foundation CAREER Award, a 2020 MIT Technology Review Innovator Under 35 award, and a 2016 IEEE-USA New Face of Engineering award. In 2020, she was featured by the IEEE Women in Engineering Magazine as a “Woman to Watch”. She is on the editorial board of PNAS Nexus by the National Academy of Sciences and IEEE Transactions on Neural Systems and Rehabilitation Engineering. Her research interests include wearable technologies, and medical cyber-physical systems, as well as neural and biomedical signal processing.
Host: Pierluigi Nuzzo
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
Audiences: Everyone Is Invited
Contact: Ariana Perez
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AAI-CCI-MHI Seminar on CPS
Fri, Apr 26, 2024 @ 10:00 AM - 11:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Joerg Lahann, Professor University of Michigan
Talk Title: Protein Nanoparticles as multifunctional drug delivery carriers
Series: EE598 Seminar Series
Abstract: Precise control of the physical and biochemical properties of nanoparticle-based drug delivery vehicles is a
prerequisite for effective transport of drugs across a range of biological barriers. To date, the range of biodegradable
macromolecular systems with appropriate biocompatibility, low levels of immunogenicity and extended structural stability
that can be prepared at scale remains rather limited. Towards that end, nanoparticles comprised of protein/polymer
conjugates offer a range of unique features, such as biodegradability and extended in vivo stability, active targeting and
stimuli-responsiveness, or the potential for delivery of small-molecule drugs and biopharmaceuticals.
Electrohydrodynamic (EHD) co-jetting, an adaptive manufacturing process that involves transferring two or more
capillary needles in a side-by-side configuration, can be used to create a wide range of multicompartmental protein/
polymer nanoparticles. The protein nanoparticles combine the processability of synthetic polymers with the biological
properties of proteins. In the context of glioblastoma multiforme, protein nanoparticles have been devised that enable
systemic delivery of RNAi to intracranial brain tumors. Protein nanoparticles that can enable controlled release of
combination drugs from the same nanoparticle will also be discussed
Biography: Joerg Lahann is the Wolfgang Pauli Collegiate Professor of Chemical Engineering. Since 2012, he has been the
founding director of the University of Michigan Biointerfaces Institute. Prof. Lahann is a co-author of more than 325
publications including papers in Science, Nature Materials, Nature Biotechnology, or PNAS and has contributed to 50
patents and patent applications. He is an elected fellow of the National Academy of Inventors (NAI), the American
Association for the Advancement of the Sciences (AAAS), and the American Institute for Medical and Biological
Engineering (AIMBE). He has been selected by Technology Review as one of the top 100 young investigators and the
recipient of the 2007 Nanoscale Science and Engineering Award, a NSF-CAREER award, and both a single-PI and a
team Idea award (2006 & 2011) from the US Department of Defense. Prof. Lahann has contributed to the development
of 3D printing methods for ultraporous, precisely engineered organoids, multicompartmental nanoparticles for drug
delivery applications, and vapor-based polymer coatings.
Host: Paul Bogdan
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
Audiences: Everyone Is Invited
Contact: Ariana Perez
