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Events for July
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PhD Dissertation Defense - Jessie Hoegen
Mon, Jul 01, 2024 @ 01:00 PM - 03:00 PM
Thomas Lord Department of Computer Science
University Calendar
Title: Decoding Situational Perspective: Incorporating Contextual Influences into Facial Expression Perception Modeling
Location: GFS 104 / Zoom: https://usc.zoom.us/j/6871678093?pwd=VWdZZjJMaW9PK2cyRmMvNUJpbVV6UT09
Date and time: July 1, 1pm - 3pm
Committee: Jonathan Gratch (chair), Emilio Ferrara, Giorgio Coricelli
Abstract:
The work that I performed during my doctoral studies relates to facial expressions within the field of Affective Computing. In this field, facial expressions are a popular subject of study. State-of-the-art facial expression models and emotion perception models have gone through leaps of improvements and nowadays match the accuracy of professionally trained expression coders. Because of these improvements, one might expect that automatic emotion recognition has become an indispensable tool for analyzing and predicting human social behavior. Indeed, psychological theories argue that emotional expressions serve crucial social functions such as revealing intentions and shaping partner behavior. Yet these theoretical benefits have largely failed to materialize within the field of affective computing.
There is now growing understanding that one of the obstacles to the advancement of affective computing is how the concept of emotion is typically represented within affective computing. Influenced by early theories from psychology, expressions are often treated as universal and context-independent signifiers of an underlying emotional state. This latent state is then assumed to shape subsequent human behavior. Yet more recent psychological theories argue that expressions should be seen more like words and function to coordinate social behavior. My dissertation embraces this latter view and explores its consequences for affective computing.
Following recent ``pragmatic'' theories of emotional expressions, I adopt the perspective that expressions in social settings should be best treated like words. Like words, the meaning of expressions must be seen as context dependent. Just as ``bank'' might refer to the side of a river or a financial institution, a smile might refer to pleasure or anger depending on the surrounding context. And like words, expressions can be examined from multiple perspectives. We can consider the ``author's'' perspective (why did this person produce this expression? what was their intent? what does it signal they will do next?) but also the ``reader's'' perspective (how does this expression shape the observer's emotions, intentions and actions?).
I illustrate the utility of this perspective for analyzing human social behavior. Focusing on a series of social tasks such as social dilemmas and negotiations, I show how the interpretation of facial expressions is shaped by context, and that expressions, when combined with context, can usefully predict the author's intentions and consequences for the reader. Together, this body of research makes several important contributions. First, I add to the growing body of research that questions the utility of context-free methods for automatically recognizing emotional expressions. Second, from the perspective of the author, I show how both expressions and context are necessary for predicting an author's subsequent actions in a face-to-face negotiation from their expressions. Thirdly, from the perspective of the reader, I show how emotional expressions shape the readers actions in a social dilemma. Finally, I show how these models could inform the behavior of interactive synthetic agents, for example allowing them to strategically select emotional expressions that will benefit a team task. More broadly, my dissertation illustrates the potential benefits of incorporating a pragmatic perspective on the meaning of emotional expressions into the field of affective computing.
Location: Grace Ford Salvatori Hall Of Letters, Arts & Sciences (GFS) - 104
Audiences: Everyone Is Invited
Contact: Ellecia Williams
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Ph.D. Thesis Defense - Bingyi Zhang
Mon, Jul 01, 2024 @ 02:00 PM - 04:00 PM
Thomas Lord Department of Computer Science
University Calendar
PhD Thesis Defense - Bingyi Zhang
Committee Members: Prof. Paul Bogdan, Prof. Rajgopal Kannan, Prof. Viktor Prasanna (Chair), Prof. Weihang Wang
Title: Hardware-software Codesign for accelerating Graph Neural Networks on FPGA
Abstract: Graph Neural Networks (GNN) have revolutionized many real-world applications, such as recommendation systems, social networks, etc. However, current GNN libraries on general-purpose processors achieve sub-optimal performance due to several challenges: 1. Irregular data structure: the graphs in real-world applications are highly unstructured, with uneven degree distribution. Such irregularity leads to complex data access patterns. 2. Heterogeneous computation kernels: GNNs involve both sparse computation kernels and dense computation kernels. While general-purpose processors are efficient for dense computation, their data path and memory hierarchy are inefficient for sparse computation. 3. Dynamic data sparsity: In many applications, the graph connectivity and the data sparsity of vertex features are unknown before executing the GNN model. Such dynamic data sparsity makes it difficult for the compiler and runtime system to generate an optimal execution scheme for GNN. 4. Mixture of Models: Some GNN-based applications, such as GNN-based computer vision tasks, utilize a mixture of CNN and GNN models. Such a combination leads to complex data flow. In this dissertation, we address the above challenges through novel hardware-software codesign. First, to address the first two challenges, we develop an accelerator-compiler codesign on FPGA for GNN inference, named GraphAGILE, for the end-to-end acceleration of GNNs. Second, we propose Dynasparse, an efficient codesign of runtime system and hardware to exploit the dynamic sparsity in GNN inference. Third, we propose GCV-Turbo, a hardware-software codesign accelerating GNN-based computer vision (CV) tasks, which involves a mixture of GNN layers and CNN layers. Our codesigns achieve superior performance on various GNN-based applications compared with state-of-the-art graph machine learning libraries and hardware accelerators.
Bio: Bingyi Zhang is a fifth-year PhD candidate in Computer Engineering, advised by Professor Viktor K. Prasanna. He received the BS degree in microelectronics from Fudan University in 2017, and the MS degree in Integrated Circuit Engineering from Fudan University in 2019. His research interests include parallel computing, digital signal processing, digital circuit design.
Date: Monday, July 1st, 2024
Time: 2 pm
Location:
Zoom Link: https://usc.zoom.us/j/4520579668?pwd=eXNyaThLeFloNzBLVHlZQ0FYdzRGdz09Location: Zoom Only
Audiences: Everyone Is Invited
Contact: CS Events
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Photonics Seminar - Miguel Gonzalez Herraez, Tuesday, July 2nd at 9:30am in EEB 248
Tue, Jul 02, 2024 @ 09:30 AM - 11:00 AM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Miguel Gonzalez Herraez, University of Alcala, Madrid, Spain
Talk Title: Observing the deep oceans using submarine optical fibre cables
Series: Photonics Seminar Series
Abstract: Currently, submarine fibre-optic cables carry more than 98% of the international data traffic, dwarfing the amount carried by satellites. In this talk I will show that these essential infrastructures for communications also show potential for geophysical monitoring in the bottom of the oceans, where the sparsity of geophysical instrumentation is nowadays hampering efforts to quantify extremely important phenomena in our planet and climate change such as e.g. water mixing and stratification. The deployment and maintenance of a larger and denser network of traditional offshore sensors, which would be needed to produce more accurate estimations of climate change models, poses an important economic barrier that has so far proved unsurmountable. I will show that submarine optical fiber cables can be used, with no essential modification, to monitor sea currents across large distances, and also to obtain more accurate observations of water mixing phenomena occurring over tens of kilometers. Among other things, I will show that internal waves, a large-scale phenomenon generated by the interaction of barotropic tides with bathymetric changes in the sea-bottom, can be very accurately observed by deploying chirped-pulse Distributed Acoustic Sensing (DAS) technology over these cables. I will also explain the prospects for using some of these cables for early warning of tsunamis in exposed countries.
Biography: Miguel González-Herráez received the M.Eng. and D.Eng. degrees from the Polytechnic University of Madrid, Madrid, Spain, in 2000 and 2004, respectively. In October 2004, he was appointed Assistant Professor in the Department of Electronics, University of Alcalá, Madrid, Spain, where he was promoted to Associate Professor in June 2006 and later to Full Professor in January 2018. He is the author or coauthor of >150 papers in international refereed journals and >160 conference contributions, and has given >30 invited/plenary talks at prestigious international conferences. His research interests cover the wide field of nonlinear interactions in optical fibers, with particular focus on distributed optical fiber sensing. Prof. González-Herráez has received several important recognitions to his research career, including two European Research Council Grants, the "Miguel Catalan" prize for young scientists given by the Comunidad de Madrid and the "Agustin de Betancourt" prize of the Spanish Royal Academy of Engineering.
Host: Mercedeh Khajavikhan, Michelle Povinelli, Constantine Sideris; Hossein Hashemi; Wade Hsu; Mengjie Yu; Wei Wu; Tony Levi; Alan E. Willner; Andrea Martin Armani
More Information: Miguel Gonzalez Herraez Seminar Flyer.pdf
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
Audiences: Everyone Is Invited
Contact: Marilyn Poplawski
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PhD Dissertation Defense - Jun Yan
Mon, Jul 08, 2024 @ 12:00 PM - 02:00 PM
Thomas Lord Department of Computer Science
University Calendar
Title: Identifying and Mitigating Safety Risks in Language Models Abstract: Recent advancements in language models have revolutionized the field of Natural Language Processing, reshaping human-technology interactions. As these models become increasingly integrated in our daily lives, concerns about their safety risks have also escalated. In this thesis defense, I will present my work on identifying and mitigating safety risks in language models that could lead to system malfunctions and undermine user trust. My research addresses three key questions: (1) What threats can adversaries induce by poisoning the training data of language model classifiers? (2) Can practitioners reliably detect compromised language model classifiers before deployment? (3) What novel threats does data poisoning pose with the emergence of generative large language models? In conclusion, I will discuss future directions for the development of safer language models.
Committee Members: Prof. Xiang Ren (Chair), Prof. Robin Jia, and Prof. Morteza Dehghani
Date: Monday, July 8th, 2024
Time: 12pm – 2pm
Location: Ronald Tutor Hall of Engineering (RTH) - 306
Zoom Link: https://usc.zoom.us/j/6633659669Location: Ronald Tutor Hall of Engineering (RTH) - 306
Audiences: Everyone Is Invited
Contact: Ellecia Williams
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DEN@Viterbi - 'Limited Status: How to Get Started' Virtual Info Session
Tue, Jul 09, 2024 @ 05:00 PM - 06:00 PM
DEN@Viterbi, Viterbi School of Engineering Graduate Admission
Workshops & Infosessions
Join USC Viterbi for our upcoming Limited Status: How to Get Started Virtual Information Session via WebEx to learn about the Limited Status enrollment option. The Limited Status enrollment option allows individuals with an undergraduate degree in engineering or related field, with a 3.0 GPA or above to take courses before applying for formal admission into a Viterbi graduate degree program. USC Viterbi representatives will provide a step-by-step guide for how to get started as a Limited Status student and enroll in courses online via DEN@Viterbi as early as the Summer 2024 semester.
WebCast Link: https://uscviterbi.webex.com/weblink/register/r96b9f29a2a18e98200138a31c4447043
Audiences: Everyone Is Invited
Contact: Corporate & Professional Programs
Event Link: https://uscviterbi.webex.com/weblink/register/r96b9f29a2a18e98200138a31c4447043
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PhD Dissertation Defense - Shihan Lu
Thu, Jul 11, 2024 @ 02:00 PM - 04:00 PM
Thomas Lord Department of Computer Science
University Calendar
Defense title: Analysis, Synthesis, and Perception of Multisensory Feedback in Touch
Committee: Heather Culbertson (Chair), Jernej Barbic, Daniel Seita, Feifei Qian
Date: Thursday, July 11, 2 pm - 4 pm PST
Location: Ronald Tutor Hall of Engineering (RTH) - 306
Zoom Meeting Details: https://usc.zoom.us/j/92142744465?pwd=4N5dBtpYtJ7C80X3pmkFMO1vwWyRjy.1
Meeting ID: 921 4274 4465 Passcode: 160570
Abstract:
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Multisensory feedback, including haptic and auditory feedback, is often overlooked in interactive and contact-rich scenarios in the studies with both humans and robots, such as writing on the back of an envelope with a pen or grasping a block in a Jenga game. In this work, I focus on three perspectives related to the multisensory feedback in touch interactions: (1) Analysis – how to extract useful and interpretable features from multisensory feedback; (2) Synthesis – how to simulate realistic virtual feedback; and (3) Perception – how humans and robots respond to the feedback. I explore these perspectives through tasks of texture sound modeling, haptic texture design, large-scale texture classification, and state-aware robot sensing and manipulation. With these tasks, the objective is to enhance the interactive experience in virtual reality, improve the understanding of crossmodal relationships, and complement visual and tactile sensing in challenging robot manipulation tasks.
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Audiences: Everyone Is InvitedLocation: 306
Audiences: Everyone Is Invited
Contact: Ellecia Williams
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DEN@Viterbi - Online Graduate Engineering Virtual Information Session
Thu, Jul 11, 2024 @ 05:00 PM - 06:00 PM
DEN@Viterbi, Viterbi School of Engineering Graduate Admission
Workshops & Infosessions
Join USC Viterbi School of Engineering for a virtual information session via WebEx, providing an introduction to DEN@Viterbi, our top-ranked online delivery system. Discover the 40+ graduate engineering and computer science programs available entirely online. Attendees will have the opportunity to connect directly with USC Viterbi representatives during the session to discuss the admission process, program details, and the benefits of online delivery.
WebCast Link: https://uscviterbi.webex.com/weblink/register/rec92d64442e845079ee1749c9d277250
Audiences: Everyone Is Invited
Contact: Corporate & Professional Programs
Event Link: https://uscviterbi.webex.com/weblink/register/rec92d64442e845079ee1749c9d277250
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CS Seminar: Michael Pradel (University of Stuttgart) - Neuro-Symbolic Developer Tools for Analyzing, Executing, and Repairing Code
Fri, Jul 12, 2024 @ 11:00 AM - 12:00 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Michael Pradel, University of Stuttgart
Talk Title: Neuro-Symbolic Developer Tools for Analyzing, Executing, and Repairing Code
Abstract: Developer productivity and software quality critically depend on effective software development tools. Traditional, symbolic program analysis tools are often limited in their ability to understand developer intention and rely on various hand-crafted heuristics. Neural software analysis addresses these limitations, but remains unaware of the formal semantics of a program and hence easily misses facts and rules that are actually well known. This talk argues that carefully combining neural and symbolic reasoning provides an effective means to address various challenging software development problems. To illustrate this point, I will describe our 8-year long journey of creating neuro-symbolic developer tools, ranging from learning-based bug detectors and type predictors, to our most recent work on learning-guided execution and program repair based on an autonomous LLM-based agent. I will discuss lessons learned on this journey and conclude with an outline of open challenges waiting to be addressed in order to close the gap between symbolic and neural software developer tools.The talk is based (mostly) on these papers:https://arxiv.org/abs/2302.02343 https://arxiv.org/abs/2403.17134
Biography: Michael Pradel is a full professor at the University of Stuttgart, which he joined after a PhD at ETH Zurich, a post-doc at UC Berkeley, an assistant professorship at TU Darmstadt, and a sabbatical at Facebook. His research interests span software engineering, programming languages, security, and machine learning, with a focus on tools and techniques for building reliable, efficient, and secure software. In particular, he is interested in neural software analysis, analyzing web applications, dynamic analysis, and test generation. Michael has been recognized through the Ernst-Denert Software Engineering Award, an Emmy Noether grant by the German Research Foundation (DFG), an ERC Starting Grant, best/distinguished paper awards at FSE (3x), ISSTA, ASE, and ASPLOS, and by being named an ACM Distinguished Member.
Host: Chao Wang
Location: Ronald Tutor Hall of Engineering (RTH) - 115
Audiences: Everyone Is Invited
Contact: CS Faculty Affairs
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AI Seminar- Nexa AI – Functional Tokens for On-device Multimodal Models
Fri, Jul 12, 2024 @ 11:00 AM - 12:00 PM
Information Sciences Institute
Conferences, Lectures, & Seminars
Speaker: Alex Chen, CEO + Founder of Nexa AI and Zack Li, CTO + Co-Founder of Nexa AI, Nexa AI
Talk Title: Nexa AI -“ Functional Tokens for On-device Multimodal Models
Abstract: Zoom meeting ID: 944 0958 4905Passcode: 822247 Tokenizing corpora into semantic tokens has proven effective for large language models. However, this approach encounters challenges when applied to function calls, leading to inaccuracies and hallucinations. To address this issue, we have pioneered a new training methodology using functional tokens, transforming complex function calling tasks into language completion tasks. We also released Octopus-series models using functional tokens and achieved GPT4 level function calling accuracy with 2B parameter size. Our Octopus-V2 model achieved 35 times faster inference speed up and 70 times more energy efficiency compared to the RAG plus Llama3 solution, and is four times faster than OpenAI’s GPT-4O. The functional token is then applied to Octopus-V3, a sub-billion multimodal model, adept at both text and images, and fluent in English and Mandarin. Furthermore, Octopus-V4 extends these capabilities into a graph network structure, with Octopus-V2 as the master node and integration with other open-source models as worker nodes, Octopus-V4 achieved 74.8 MMLU and outperforms GPT3.5, and applied for cloud and edge collaboration. Nexa’s Octopus-V2 models ranked 2nd place among half a million models on HuggingFace between Apr 2 and Apr 15, surpassing XAI grok and Databrick DBRX model during that period, and was mentioned by Google Gemma team during the 2024 Google IO. Nexa’s Octopus models have also attracted industrial collaboration interest from AWS, Google, Volkswagen US, Qualcomm, ByteDance, Stellantis, Zoom, and more.
Biography: Alex Chen is the CEO and founder of Nexa AI, with PhD in Mechanics and Computation from Stanford University. His research interests lie in AI agent development empowered by large language models. He is a serial entrepreneur and served as President of the Chinese Entrepreneur Organization before. He is also a gold medalist in the Mathematics Olympiad. Zack Li is the CTO and co-founder of Nexa AI. Before this, he accumulated four years of industrial experience in on-device AI at Google and Amazon Lab126, focusing on model deployment, performance optimization, and edge-cloud collaboration. He received an MS in Operation Research from Stanford University. Alex and Zack are founders of Nexa AI and have authored Octopus series models. Nexa AI builds lightweight but powerful multimodal models for AI agents and provides on-device SDK infra to make models run fast and energy-efficiently. For more information, visit https://www.nexa4ai.com/ If speaker approves to be recorded for this AI Seminar talk, it will be posted on our USC/ISI YouTube page within 1-2 business days: https://www.youtube.com/user/USCISI. Subscribe here to learn more about upcoming seminars: https://www.isi.edu/events/
Host: Abel Salinas and Justina Gilleland
More Info: https://www.isi.edu/events/5009/nexa-ai-functional-tokens-for-on-device-multimodal-models/
Webcast: https://www.youtube.com/watch?v=MxAiFHSRrwQLocation: Information Science Institute (ISI) - Virtual Only
WebCast Link: https://www.youtube.com/watch?v=MxAiFHSRrwQ
Audiences: Everyone Is Invited
Contact: Pete Zamar
Event Link: https://www.isi.edu/events/5009/nexa-ai-functional-tokens-for-on-device-multimodal-models/
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DEN@Viterbi - 'Limited Status: How to Get Started' Virtual Info Session
Wed, Jul 17, 2024 @ 12:00 PM - 01:00 PM
DEN@Viterbi, Viterbi School of Engineering Graduate Admission
Workshops & Infosessions
Join USC Viterbi for our upcoming Limited Status: How to Get Started Virtual Information Session via WebEx to learn about the Limited Status enrollment option. The Limited Status enrollment option allows individuals with an undergraduate degree in engineering or related field, with a 3.0 GPA or above to take courses before applying for formal admission into a Viterbi graduate degree program. USC Viterbi representatives will provide a step-by-step guide for how to get started as a Limited Status student and enroll in courses online via DEN@Viterbi as early as the Summer 2024 semester.
WebCast Link: https://uscviterbi.webex.com/weblink/register/r872611deb65dabe1bd4839c9b77d73d1
Audiences: Everyone Is Invited
Contact: Corporate & Professional Programs
Event Link: https://uscviterbi.webex.com/weblink/register/r872611deb65dabe1bd4839c9b77d73d1
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PhD Dissertation Defense - Mehrdad Kiamari
Wed, Jul 17, 2024 @ 02:00 PM - 04:00 PM
Thomas Lord Department of Computer Science
University Calendar
Title: Advancing Distributed Computing and Graph Representation Learning with AI-Enabled Schemes
Date and Time: Wednesday, July 17, 2024 - 2:00p - 4:00p
Location: EEB 132
Abstract: "This thesis investigates the evolving challenges and opportunities within distributed computing and communications, emphasizing the optimization of performance, security, and efficiency. It is structured into interconnected chapters, each addressing key aspects of distributed systems research.
Initially, it focuses on robust consensus mechanisms for mobile distributed systems, crucial for maintaining the integrity and reliability of decentralized networks. This includes the introduction of Blizzard, the first mobile-based consensus protocol for distributed ledgers, as well as the novel application of graph convolutional networks (GCNs) in managing consensus.
Next, this thesis presents groundbreaking scheduling schemes for distributed resources, focusing on the "GCNScheduler," the first GCN designed to optimize task scheduling. The GCNScheduler significantly reduces scheduling times by several orders of magnitude and facilitates efficient task execution across a range of applications.
Finally, it introduces Graph Kolmogorov Arnold Networks (GKAN) for general purposes for the first time. Overall, this thesis advances distributed computing and graph neural networks by presenting new methodologies that enhance communication efficiency and computational performance, supporting the next generation of computing infrastructure to meet growing data and computational demands."
Zoom Link: https://usc.zoom.us/j/93725329030?pwd=OPLAvBwbZoJintRHm536nNhlN1VwH6.1Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
Audiences: Everyone Is Invited
Contact: Mehrdad Kiamari
Event Link: https://usc.zoom.us/j/93725329030?pwd=OPLAvBwbZoJintRHm536nNhlN1VwH6.1
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DEN@Viterbi: Active Duty Military and Veterans Info Session
Thu, Jul 18, 2024 @ 12:00 PM - 01:00 PM
DEN@Viterbi, Viterbi School of Engineering Graduate Admission
Workshops & Infosessions
Join USC Viterbi representatives for a step-by-step guide and tips for how to apply for formal admission into a Master's degree or Graduate Certificate program. The session is intended for individuals who wish to pursue a graduate degree program completely online via USC Viterbi's flexible online DEN@Viterbi delivery method. Attendees will have the opportunity to connect directly with USC Viterbi representatives and ask questions about the admission process throughout the session.
WebCast Link: https://uscviterbi.webex.com/weblink/register/r18f19b54ba2de135bd970b61056ed4f6
Audiences: Everyone Is Invited
Contact: Corporate & Professional Programs
Event Link: https://uscviterbi.webex.com/weblink/register/r18f19b54ba2de135bd970b61056ed4f6
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Photonics Seminar - Shirin Mozaffari, Thursday, July 18th at 2pm in EEB 248
Thu, Jul 18, 2024 @ 02:00 PM - 03:30 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Shirin Mozaffari, University of Tennessee, Knoxville
Talk Title: A tunable charge density wave in the kagome metal ScV6Sn6
Series: Photonics Seminar Series
Abstract: ScV6Sn6 is a newly discovered vanadium kagome metal which hosts a charge density wave (CDW) below a temperature of 92 K. I will present detailed electrical transport results on ScV6Sn6 and its isostructural counterpart, LuV6Sn66, which lacks CDW order. By comparing the electrical properties of these two materials, several important features about the CDW state that forms in ScV6Sn6 are unraveled. Three points stand out from the comparison between the Sc and Lu compounds. First, applying a magnetic field to ScV6Sn6 changes the resistivity vs temperature from metal-like to insulator-like. Next, a observe behavior akin to the anomalous Hall effect in the CDW phase of ScV6Sn6 is seen even without magnetic order. Lastly, the temperature dependence of the resistivity scales as T3/5 in ScV6Sn6, KV3Sb5, RbV3Sb5, and CsV3Sb5, suggesting that this sublinear behavior is universal among the vanadium kagome compounds which exhibit CDW. By contrast, resistivity in the non-CDW compound LuV6Sn6 has a linear temperature dependence in the same temperature region.
Biography: Shirin Mozaffari is a Post-Doctoral Research Associate at the University of Tennessee, Knoxville. She works at the group of Prof. David Mandrus at the Materials Science and Engineering Department. Shirin synthesizes single crystals of quantum materials and studies the electronic and magnetic properties of them by methods such as magnetotransport and torque magnetometry.
Host: Mercedeh Khajavikhan
More Information: Shirin Mozaffari Seminar Flyer.pdf
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
Audiences: Everyone Is Invited
Contact: Marilyn Poplawski
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DEN@Viterbi: How to Apply Virtual Info Session
Wed, Jul 24, 2024 @ 12:00 PM - 01:00 PM
DEN@Viterbi, Viterbi School of Engineering Graduate Admission
Workshops & Infosessions
Join USC Viterbi representatives for a step-by-step guide and tips for how to apply for formal admission into a Master's degree or Graduate Certificate program. The session is intended for individuals who wish to pursue a graduate degree program completely online via USC Viterbi's flexible online DEN@Viterbi delivery method. Attendees will have the opportunity to connect directly with USC Viterbi representatives and ask questions about the admission process throughout the session.
WebCast Link: https://uscviterbi.webex.com/weblink/register/r6dc3398565762c555f1aa2a481cf2107
Audiences: Everyone Is Invited
Contact: Corporate & Professional Programs
Event Link: https://uscviterbi.webex.com/weblink/register/r6dc3398565762c555f1aa2a481cf2107
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DEN@Viterbi - 'Limited Status: How to Get Started' Virtual Info Session
Thu, Jul 25, 2024 @ 12:00 PM - 01:00 PM
DEN@Viterbi, Viterbi School of Engineering Graduate Admission
Workshops & Infosessions
Join USC Viterbi for our upcoming Limited Status: How to Get Started Virtual Information Session via WebEx to learn about the Limited Status enrollment option. The Limited Status enrollment option allows individuals with an undergraduate degree in engineering or related field, with a 3.0 GPA or above to take courses before applying for formal admission into a Viterbi graduate degree program. USC Viterbi representatives will provide a step-by-step guide for how to get started as a Limited Status student and enroll in courses online via DEN@Viterbi as early as the Summer 2024 semester.
WebCast Link: https://uscviterbi.webex.com/weblink/register/r2028902355e9d890eb523e04a5c1602f
Audiences: Everyone Is Invited
Contact: Corporate & Professional Programs
Event Link: https://uscviterbi.webex.com/weblink/register/r2028902355e9d890eb523e04a5c1602f
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Alfred E. Mann Department of Biomedical Engineering
Mon, Jul 29, 2024 @ 11:00 AM - 12:00 PM
Alfred E. Mann Department of Biomedical Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Dean Ho, Ph.D., Provost, Chair Professor, Head of Department of Biomedical Engineering
Talk Title: Stories Over Snapshots: Optimizing Health with Digital Platforms
Abstract: This talk will highlight our human trial programs at the Institute for Digital Medicine (WisDM) at the NUS Yong Loo Lin School of Medicine. Our platforms do not use population-based Big Data to train algorithms to treat individuals. Instead, we use only a subject’s own data to manage only their own care - longitudinally. Importantly, we have also developed implementation strategies that span user engagement through co-design that have empowered the scale-up of our platforms.
Our platforms have led to lifesaving outcomes and are among the only approaches globally that have been prospectively used for treatment applications. We have also harnessed our approaches to address health optimization, understanding how a combination of health interventions can be used to drive changes in biomarkers to drive and sustain behavior change.
Implications of this platform can potentially be applied to fields such as population health, healthy aging, digital longevity medicine, athletic performance optimization, and other domains.
Biography: Prof. Ho and collaborators manage a portfolio of over 10 prospective, interventional human clinical trials. His team successfully developed and validated CURATE.AI, a powerful artificial intelligence platform that personalizes human treatment for a broad spectrum of indications ranging from oncology to digital therapeutics and infectious diseases, among others. Prof. Ho is an elected Fellow of the US National Academy of Inventors (NAI), American Association for the Advancement of Science (AAAS), the American Institute for Medical and Biological Engineering (AIMBE), and the Royal Society of Chemistry. He was also named to the HIMSS Future50 Class of 2021 for his internationally recognized leadership in digital health. Prof. Ho is a Co-Chair of the World Health Organization (WHO) Working Group for the regulation of AI for Health.
Host: Peter Wang
Location: Corwin D. Denney Research Center (DRB) - 145
Audiences: Everyone Is Invited
Contact: Carla Stanard
