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Events for the 4th week of March
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Spring 2025 Viterbi Trek Mon, Mar 17, 2025 @ 10:00 AM - 05:00 PM
Viterbi School of Engineering Career Connections
Receptions & Special Events
Viterbi Trek is an exclusive opportunity for a select group of Viterbi students to visit companies during the Fall Recess! Explore industries, career options, and cultures at partner organizations. Trek is a wonderful opportunity to engage directly with employers and gain insights into your field of interest while learning about potential career paths. Trek provides a unique opportunity for Viterbi students to: Tour company offices to experience workplace environments. Meet employers and talk about career paths, current projects, and industry trends. Learn about company culture and potential job/internship opportunities. If selected, you will be assigned to attend 1 site visit, and will have the opportunity to participate in a company visit! Matches are based on your major and availability, and each visit is in-person. Apply only if you are available on all dates listed. Trek is open to undergraduate and graduate students with priority given to sophomores, juniors, and first-year graduate students. Eligibility: Viterbi Engineering Student GPA of 3.0+ Updated resume with VMock score of 80%+ Must be available on Trek dates
Location: Off Campus
Audiences: All Viterbi
Contact: RTH 218 Viterbi Career Connections
Event Link: https://usc.joinhandshake.com/
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor.
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EiS Communications Hub - Tutoring for Engineering Ph.D. Students
Mon, Mar 17, 2025 @ 10:00 AM - 12:00 PM
Viterbi School of Engineering Student Affairs
Workshops & Infosessions
Viterbi Ph.D. students are invited to drop by the Hub for instruction on their writing and speaking tasks! All tutoring is one-on-one and conducted by Viterbi faculty.
Location: Ronald Tutor Hall of Engineering (RTH) - 222A
Audiences: Viterbi Ph.D. Students
Contact: Helen Choi
Event Link: https://sites.google.com/usc.edu/eishub/home
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
USC-ISI Networking and Cybersecurity Seminar Talk
Mon, Mar 17, 2025 @ 11:00 AM - 12:00 PM
Information Sciences Institute
Conferences, Lectures, & Seminars
Speaker: Dr. Bhavani Thuraisingham, University of Texas at Dallas
Talk Title: Trustworthy Artificial Intelligence for Securing Transportation Systems
Series: Networking and Cybersecurity
Abstract: Artificial Intelligence (AI) techniques are being applied to numerous applications from Healthcare to Cyber Security to Finance. For example, Machine Learning (ML) algorithms are being applied to solve security problems such as malware analysis and insider threat detection. However, there are many challenges in applying ML algorithms for various applications. For example, (i) the ML algorithms may violate the privacy of individuals. This is because we can gather massive amounts of data and apply ML algorithms on the data to extract highly sensitive information. (ii) ML algorithms may show bias and be unfair to various segments of the population. (iii) ML algorithms themselves may be attacked possibly resulting in catastrophic errors including in cyber physical systems such as transportation systems.
In this presentation, we discuss our research we are conducting as part of the USDOT National University Technology Center TraCR (Transportation Cybersecurity and Resiliency) led by Clemson University. In particular, we describe (i) the application of federated machine learning techniques for detecting attacks in transportation systems; (ii) publishing synthetic transportation data sets that preserves privacy, (iii) fairness algorithms for transportation systems, and (iv) examining how GenAI systems are being integrated with transportation systems to provide security. Finally, we discuss resiliency issues with respect to transportation systems where such systems and applications must continue to operate in the midst of attacks and failures.
Biography: Dr. Bhavani Thuraisingham is the Founders Chair Professor of Computer Science and the Founding Executive Director of the Cyber Security Research and Education Institute at the University of Texas at Dallas (UTD). She is an elected Fellow of the ACM, IEEE, the AAAS, and the NAI. Her research interests are on integrating cyber security and artificial intelligence/data science including as they relate to the cloud, social media, and Transportation Systems. She has received several technical, education and leadership awards including the IEEE CS 1997 Edward J. McCluskey Technical Achievement Award, the IEEE CS 2023 Taylor L. Booth Education Award, ACM SIGSAC 2010 Outstanding Contributions Award, the IEEE Comsoc Communications and Information Security 2019 Technical Recognition Award, the IEEE CS Services Computing 2017 Research Innovation Award, the ACM CODASPY 2017 Lasting Research Award, and the ACM SACMAT 10 Year Test of Time Awards for 2018 and 2019 (for papers published in 2008 and 2009). Her 44+ year career includes industry (Honeywell), federal research laboratory (MITRE), US government (NSF) and US Academia. Her work has resulted in 140+ journal articles, 300+ conference papers, 200+ keynote and featured addresses, seven US patents, sixteen books, and over 120 panel presentations including at Fortune Media, Lloyds of London Insurance, Dell Technologies World, United Nations, and the White House Office of Science and Technology Policy. She has also written opinion columns for popular venues such as the New York Times, Inc. Magazine, Womensday.com and the Legal 500. She received her PhD from the University of Wales, Swansea, UK, and the prestigious earned higher doctorate (D. Eng) from the University of Bristol, UK. She also has a Certificate in Public Policy Analysis from the London School of Economics and Political Science. She has been featured in the book by the ACM in 2024 titled: “Rendering History: The Women of ACM-W” as one of the 30+ “Women that Changed the Face of World Wide Computing Forever.”
Host: David Balenson and Jelena Mirkovic
More Info: https://www.isi.edu/events/5645/trustworthy-artificial-intelligence-for-securing-transportation-systems/
Webcast: https://www.isi.edu/events/5645/trustworthy-artificial-intelligence-for-securing-transportation-systems/Location: Information Science Institute (ISI) - 1135/37
WebCast Link: https://www.isi.edu/events/5645/trustworthy-artificial-intelligence-for-securing-transportation-systems/
Audiences: Everyone Is Invited
Contact: Matt Binkley / Information Sciences Institute
Event Link: https://www.isi.edu/events/5645/trustworthy-artificial-intelligence-for-securing-transportation-systems/
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
"Keys to Life" series at USC ORSL
Mon, Mar 17, 2025 @ 12:00 PM - 01:00 PM
USC Viterbi School of Engineering
University Calendar
"Keys to Life" with Prof. Weiss is a motivational discussion series designed to promote student success and well-being. This series is for students who want to develop their "keys" in a small group setting and a peaceful, reflective environment. Finding purpose is essential to living a meaningful life and key to personal fulfillment. This series will help students identify and articulate their purpose and provide group motivation to work towards it. A unique feature of the series will be its peripatetic "Purpose Walks" through campus.
More Information: Keys to Life with Prof. Weiss.jpg
Location: University Religious Center (URC) - courtyard
Audiences: Everyone Is Invited
Contact: Elisabeth Arnold Weiss
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
USC-ISI Networking and Cybersecurity Seminar Talk
Mon, Mar 17, 2025 @ 01:30 PM - 02:30 PM
Information Sciences Institute
Conferences, Lectures, & Seminars
Speaker: Dr. Latifur Khan, University of Texas at Dallas
Talk Title: Generative AI including Large Language Models for Cyber-Security
Series: Networking and Cybersecurity
Abstract: In this presentation, I will explore three applications of generative AI, specifically Large Language Models (LLMs), in the domains of tabular security datasets, cyber-threat reports, and Federal and State legislation related to autonomous vehicles.
1. Learning for Tabular Security Datasets and its applications to Automotive Security.
Tabular datasets in cybersecurity present significant challenges for machine learning due to their heavily imbalanced nature—with a small number of labeled attack samples buried in a vast sea of mostly benign, unlabeled data. Semi-supervised learning leverages a small subset of labeled data alongside a large subset of unlabeled data to train a model. While semi-supervised methods have been extensively studied in image and language domains, they remain underutilized in security contexts—particularly for tabular security datasets, where challenges such as contextual information loss and class imbalance hinder machine learning performance. To address these issues, we propose MCoM (Mixup Contrastive Mixup), a novel semi-supervised learning methodology that introduces a triplet mixup data augmentation approach to mitigate the imbalanced data problem in tabular security datasets.
Many automotive security datasets are tabular in nature. We leverage these advantages to produce novel solutions for securing smart vehicles. Machine learning approaches are a natural choice for detecting such attacks based on the payload information. However, machine learning models typically require a large dataset for training. With manufacturers independently gathering this data based on their own cars, it is unlikely that all this data will be available in one place. To address this issue, we explore federated solutions that learn in a distributed manner for increased smart vehicle security. We explore challenging scenarios in which we do not assume an independent and identically distributed (IID) setting for the data. With a combination of techniques including triplet-mixup based augmentation and a data exchange scheme involving synthetically generated samples, we show that we can attain strong performance in the most challenging label distribution scenarios.
2. AI for Cybersecurity Intelligence and Policy
In this area, we will discuss several related research projects:
• Optimizing Cyber Threat Intelligence with Active Learning We propose a framework for efficiently identifying cyber-attacks, called ALERT. The ALERT framework addresses challenges in extracting actionable intelligence from complex Cyber Threat Intelligence (CTI) reports by automating the identification of attack techniques and mapping them to the MITRE ATT&CK framework. By combining active learning strategies with Large Language Models (LLMs), our approach selects only the most informative instances for annotation, achieving comparable performance with 77% less data. This significantly reduces the resource-intensive process of manual annotation by security professionals while maintaining effectiveness in threat technique extraction.
• Automating Cyber-Threat Intelligence with LLMs In collaboration with researchers from NIST, we focus on automating the extraction of attack techniques from Common Vulnerabilities and Exposures (CVE) and Cyber Threat Intelligence (CTI) reports. We then map these techniques to the standardized MITRE ATT&CK framework using a combination of LLMs and active learning. This talk will demonstrate how this curated knowledge enables security analysts to respond more effectively to cyber threats by streamlining intelligence gathering and threat attribution.
• Identifying Legislative Gaps in Autonomous Vehicle Regulations Leveraging LLMs and Retrieval-Augmented Generation (RAG), we have identified gaps in Federal and State legislation concerning data privacy and cybersecurity within the autonomous vehicle domain. This presentation will showcase how modifications or additions to existing legislative frameworks can proactively address emerging cybersecurity and privacy challenges in autonomous vehicle regulations. By integrating generative AI and LLMs into these domains, we aim to bridge critical gaps in cybersecurity, intelligence automation, and policy-making, demonstrating the transformative potential of AI in real-world applications.
3. Responsible Active Online Learning for Streaming Data
In many practical applications, machine learning systems face three interconnected challenges: processing continuous streams of incoming data, handling predominantly unlabeled datasets, and ensuring responsible and unbiased predictions across diverse demographic groups. Current approaches rarely address all three aspects effectively. We propose a framework called FACTION, which strategically identifies and selects the most valuable data points for annotation by balancing model uncertainty with ethical considerations for various subpopulations. The system additionally demonstrates exceptional capability in detecting anomalous data points within streaming contexts. Through comprehensive testing on real-world datasets and rigorous theoretical validation, FACTION shows promising results in maintaining both accuracy and responsible AI principles in evolving data landscapes. This approach could potentially be applied to transportation safety systems, particularly pedestrian detection in autonomous vehicles where cameras continuously capture diverse individuals in varying conditions. By intelligently selecting informative detection scenarios for annotation, such an application might help address potential disparities in detection accuracy while optimizing the labeling process for continuous video feeds.
*This work is funded by NSF, DOT, NIH, ONR, ARMY, and NSA.
Biography:
Dr. Latifur Khan is currently a full Professor (tenured) in the Computer Science department at the University of Texas at Dallas, USA where he has been teaching and conducting research since September 2000. He received his Ph.D. degree in Computer Science from the University of Southern California (USC) in August of 2000.
Dr. Khan is a fellow of IEEE, IET, BCS, and an ACM Distinguished Scientist. He has received prestigious awards including the IEEE Technical Achievement Award for Intelligence and Security Informatics, IEEE Big Data Security Award, and IBM Faculty Award (research) 2016. Dr. Khan has published over 300 papers in premier journals and prestigious conferences. Currently, Dr. Khan’s research focuses on big data management and analytics, data mining and its application to cyber security, and complex data management including geospatial data and multimedia data. His research has been supported by grants from NSF, NIH, the Air Force Office of Scientific Research (AFOSR), DOE, NSA, IBM, and HPE. More details can be found at www.utdallas.edu/~lkhan.
Host: David Balenson and Jelena Mirkovic
More Info: https://www.isi.edu/events/5655/generative-ai-including-large-language-models-for-cyber-security/
Webcast: https://www.isi.edu/events/5655/generative-ai-including-large-language-models-for-cyber-security/Location: Information Science Institute (ISI) - 1135/37
WebCast Link: https://www.isi.edu/events/5655/generative-ai-including-large-language-models-for-cyber-security/
Audiences: Everyone Is Invited
Contact: Matt Binkley / Information Sciences Institute
Event Link: https://www.isi.edu/events/5655/generative-ai-including-large-language-models-for-cyber-security/
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
Six Sigma Green Belt for Process Improvement
Tue, Mar 18, 2025 @ 09:00 AM - 05:00 PM
Executive Education
Conferences, Lectures, & Seminars
Speaker: IISE Faculty, IISE Faculty
Talk Title: Six Sigma Green Belt for Process Improvement
Abstract: USC Viterbi School of Engineering's Six Sigma Green Belt for Process Improvement, offered in partnership with the Institute of Industrial and Systems Engineers, allows professionals to learn how to integrate principles of business, statistics, and engineering to achieve tangible results. Master the use of Six Sigma to quantify the critical quality issues in your company. Once the issues have been quantified, statistics can be applied to provide probabilities of success and failure. Six Sigma methods increase productivity and enhance quality. As a USC Six Sigma Green Belt, you will be equipped to support and champion a Six Sigma implementation in your organization. To earn the USC Six Sigma Green Belt Certificate, you will be required to pass the Institute of Industrial and Systems Engineer's green belt exam (administered on the final day of the course).
Host: USC Viterbi Corporate and Professional Programs
More Info: https://viterbiexeced.usc.edu/engineering-program-areas/six-sigma-lean-certification/six-sigma-green-belt-process-improvement/
Audiences: Six Sigma Green Belt Students
Contact: VASE Executive Education
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
Spring 2025 Viterbi Trek
Tue, Mar 18, 2025 @ 10:00 AM - 05:00 PM
Viterbi School of Engineering Career Connections
Receptions & Special Events
Viterbi Trek is an exclusive opportunity for a select group of Viterbi students to visit companies during the Fall Recess! Explore industries, career options, and cultures at partner organizations. Trek is a wonderful opportunity to engage directly with employers and gain insights into your field of interest while learning about potential career paths. Trek provides a unique opportunity for Viterbi students to: Tour company offices to experience workplace environments. Meet employers and talk about career paths, current projects, and industry trends. Learn about company culture and potential job/internship opportunities. If selected, you will be assigned to attend 1 site visit, and will have the opportunity to participate in a company visit! Matches are based on your major and availability, and each visit is in-person. Apply only if you are available on all dates listed. Trek is open to undergraduate and graduate students with priority given to sophomores, juniors, and first-year graduate students. Eligibility: Viterbi Engineering Student GPA of 3.0+ Updated resume with VMock score of 80%+ Must be available on Trek dates
Location: Off Campus
Audiences: All Viterbi
Contact: RTH 218 Viterbi Career Connections
Event Link: https://usc.joinhandshake.com/
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
DEN@Viterbi: How to Apply Virtual Info Session
Tue, Mar 18, 2025 @ 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://events.blackthorn.io/en/2EmK1o6/g/MKmE6J8PaB/denviterbi-how-to-apply-5a2gRP2qGM5/overview
Audiences: Everyone Is Invited
Contact: Corporate & Professional Programs
Event Link: https://events.blackthorn.io/en/2EmK1o6/g/MKmE6J8PaB/denviterbi-how-to-apply-5a2gRP2qGM5/overview
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
Epstein Institute, ISE 651 Seminar Class
Tue, Mar 18, 2025 @ 03:30 PM - 04:30 PM
Daniel J. Epstein Department of Industrial and Systems Engineering
Conferences, Lectures, & Seminars
Speaker: NO CLASS-SPRING BREAK,
Talk Title: NO CLASS- SPRING BREAK
Abstract: NO CLASS- SPRING BREAK
Host: Dr. Qiang Huang
Location: Social Sciences Building (SOS) - B2
Audiences: Everyone Is Invited
Contact: Casi Jones/ ISE
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
Six Sigma Green Belt for Process Improvement
Wed, Mar 19, 2025 @ 09:00 AM - 05:00 PM
Executive Education
Conferences, Lectures, & Seminars
Speaker: IISE Faculty, IISE Faculty
Talk Title: Six Sigma Green Belt for Process Improvement
Abstract: USC Viterbi School of Engineering's Six Sigma Green Belt for Process Improvement, offered in partnership with the Institute of Industrial and Systems Engineers, allows professionals to learn how to integrate principles of business, statistics, and engineering to achieve tangible results. Master the use of Six Sigma to quantify the critical quality issues in your company. Once the issues have been quantified, statistics can be applied to provide probabilities of success and failure. Six Sigma methods increase productivity and enhance quality. As a USC Six Sigma Green Belt, you will be equipped to support and champion a Six Sigma implementation in your organization. To earn the USC Six Sigma Green Belt Certificate, you will be required to pass the Institute of Industrial and Systems Engineer's green belt exam (administered on the final day of the course).
Host: USC Viterbi Corporate and Professional Programs
More Info: https://viterbiexeced.usc.edu/engineering-program-areas/six-sigma-lean-certification/six-sigma-green-belt-process-improvement/
Audiences: Six Sigma Green Belt Students
Contact: VASE Executive Education
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
Spring 2025 Viterbi Trek
Wed, Mar 19, 2025 @ 10:00 AM - 05:00 PM
Viterbi School of Engineering Career Connections
Receptions & Special Events
Viterbi Trek is an exclusive opportunity for a select group of Viterbi students to visit companies during the Fall Recess! Explore industries, career options, and cultures at partner organizations. Trek is a wonderful opportunity to engage directly with employers and gain insights into your field of interest while learning about potential career paths. Trek provides a unique opportunity for Viterbi students to: Tour company offices to experience workplace environments. Meet employers and talk about career paths, current projects, and industry trends. Learn about company culture and potential job/internship opportunities. If selected, you will be assigned to attend 1 site visit, and will have the opportunity to participate in a company visit! Matches are based on your major and availability, and each visit is in-person. Apply only if you are available on all dates listed. Trek is open to undergraduate and graduate students with priority given to sophomores, juniors, and first-year graduate students. Eligibility: Viterbi Engineering Student GPA of 3.0+ Updated resume with VMock score of 80%+ Must be available on Trek dates
Location: Off Campus
Audiences: All Viterbi
Contact: RTH 218 Viterbi Career Connections
Event Link: https://usc.joinhandshake.com/
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
EiS Communications Hub - Tutoring for Engineering Ph.D. Students
Wed, Mar 19, 2025 @ 10:00 AM - 12:00 PM
Viterbi School of Engineering Student Affairs
Workshops & Infosessions
Viterbi Ph.D. students are invited to drop by the Hub for instruction on their writing and speaking tasks! All tutoring is one-on-one and conducted by Viterbi faculty.
Location: Ronald Tutor Hall of Engineering (RTH) - 222A
Audiences: Viterbi Ph.D. Students
Contact: Helen Choi
Event Link: https://sites.google.com/usc.edu/eishub/home
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
Supporting Research Infrastructure Communities Through LUMI AI and AI Factories, Nordic and European Perspective
Wed, Mar 19, 2025 @ 11:00 AM - 12:00 PM
Information Sciences Institute
Conferences, Lectures, & Seminars
Speaker: Tomasz Malkiewicz, CSC - IT Center for Science in Finland
Talk Title: Supporting Research Infrastructure Communities Through LUMI AI and AI Factories, Nordic and European Perspective
Series: Scientific Computing at Large
Abstract: AI applications like large language models require significant computing resources. LUMI, Europe’s third most powerful supercomputer, is already one of the world’s most powerful AI platforms for science, playing important role in supporting European RI community. The EuroHPC Joint Undertaking (JU) has selected the hosting sites of the next EuroHPC supercomputers and AI Factories. One of the chosen hosting sites is Finland, led by CSC – IT Center for Science, together with a LUMI AI Factory consortium of five other countries: the Czech Republic, Denmark, Estonia, Norway and Poland. An AI Factory is an ecosystem that enables AI researchers and developers to have one-stop access to the high-performance computing (HPC), data sets and skills they need. The aim is to make it as easy as possible for both scientific researchers and industrial innovators to adopt AI methods on a large scale. In this talk, I will present the architecture of the LUMI infrastructure and its status, together with plans and ambitions for the near future. Then, an overview of how LUMI AI supports RI communities based on the scientific showcases and achievements will be presented. These include, for example, contributions to the Destination Earth initiative, work on large language models and breakthroughs from extreme-scale computing capabilities in many fields of science.
Biography: Malkiewicz is employed at CSC - IT Center for Science in Finland, has worked for CSC in managerial and specialist positions since 2011, and is a member of the Management Group since 2016. In 2025 he has been appointed as the Interim Director of NeIC - Nordic e-Infrastructure Collaboraiton for the year 2025. Malkiewicz has worked with NeIC as executive manager and been a part of the executive team since January 2017. Throughout the years, he has acted as project owner for several projects, Puhuri, CodeRefinery and NordIQuEst being the most recent ones. Malkiewicz holds a PhD in nuclear physics from University of Jyväskylä, Finland. Before joining CSC, he had worked as a CNRS postdoctoral researcher at the LPSC Grenoble, France.
Host: Ewa Deelman and Ciji Davis
More Info: https://www.isi.edu/events/5616/supporting-research-infrastructure-communities-through-lumi-ai-and-ai-factories-nordic-and-european-perspective/
Webcast: https://usc.zoom.us/j/95306363929Location: Information Science Institute (ISI) - Conf Rm#1137
WebCast Link: https://usc.zoom.us/j/95306363929
Audiences: Everyone Is Invited
Contact: Pete Zamar
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
No AME Seminar - Spring Break
Wed, Mar 19, 2025 @ 03:30 PM - 04:30 PM
Aerospace and Mechanical Engineering
Conferences, Lectures, & Seminars
Talk Title: We will resume next week on March 26th
More Info: https://ame.usc.edu/seminars/
Audiences: Everyone Is Invited
Contact: Tessa Yao
Event Link: https://ame.usc.edu/seminars/
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
Six Sigma Green Belt for Process Improvement
Thu, Mar 20, 2025 @ 09:00 AM - 05:00 PM
Executive Education
Conferences, Lectures, & Seminars
Speaker: IISE Faculty, IISE Faculty
Talk Title: Six Sigma Green Belt for Process Improvement
Abstract: USC Viterbi School of Engineering's Six Sigma Green Belt for Process Improvement, offered in partnership with the Institute of Industrial and Systems Engineers, allows professionals to learn how to integrate principles of business, statistics, and engineering to achieve tangible results. Master the use of Six Sigma to quantify the critical quality issues in your company. Once the issues have been quantified, statistics can be applied to provide probabilities of success and failure. Six Sigma methods increase productivity and enhance quality. As a USC Six Sigma Green Belt, you will be equipped to support and champion a Six Sigma implementation in your organization. To earn the USC Six Sigma Green Belt Certificate, you will be required to pass the Institute of Industrial and Systems Engineer's green belt exam (administered on the final day of the course).
Host: USC Viterbi Corporate and Professional Programs
More Info: https://viterbiexeced.usc.edu/engineering-program-areas/six-sigma-lean-certification/six-sigma-green-belt-process-improvement/
Audiences: Six Sigma Green Belt Students
Contact: VASE Executive Education
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
EiS Communications Hub - Tutoring for Engineering Ph.D. Students
Fri, Mar 21, 2025 @ 10:00 AM - 12:00 PM
Viterbi School of Engineering Student Affairs
Workshops & Infosessions
Viterbi Ph.D. students are invited to drop by the Hub for instruction on their writing and speaking tasks! All tutoring is one-on-one and conducted by Viterbi faculty.
Location: Ronald Tutor Hall of Engineering (RTH) - 222A
Audiences: Viterbi Ph.D. Students
Contact: Helen Choi
Event Link: https://sites.google.com/usc.edu/eishub/home
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
CA DREAMS - Technical Seminar Series
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Fri, Mar 21, 2025 @ 12:00 PM - 01:00 PM
Information Sciences Institute
Conferences, Lectures, & Seminars
Speaker: Mike Shuo-Wei Chen, Professor, USC
Talk Title: High-Speed DACs towards High Performance and Efficiency
Series: CA DREAMS - Technical Seminar Series
Abstract: There are increasing interests in wideband and flexible waveform synthesis in modern communication systems. The key enabler in such applications is a high performance digital-to-analog converter (DAC). This has motivated the design community to push the digital-to-analog converter (DAC) towards higher sampling rate (>GS/s) while achieving high dynamic range. Moreover, there is an emerging trend to design a DAC with high output power, i.e. a power DAC or digital power amplifier (PA). In this talk, I will overview various digital-to-analog architectures and filtering techniques that push the envelope of DAC bandwidth, linearity and/or noise floor. A dual-rate hybrid DAC architecture has been shown to enhance dynamic range while a time-approximation filter can be applied to suppress out-of-band emission. In addition, I will introduce an emerging digital PA architecture that aims for high power backoff efficiency, namely sub-harmonic switching (SHS) PA. Validated by a series of silicon prototypes, the proposed DAC architectures when used individually or jointly show a promising path towards high performance and efficiency.
Biography: Mike Shuo-Wei Chen is a Professor in Department of Electrical and Computer Engineering at University of Southern California. As a graduate student, he proposed and demonstrated the asynchronous SAR ADC architecture, which has been adopted in industry today for low-power high-speed analog-to-digital conversion products. After joining USC in 2011, he leads an analog mixed-signal circuit group, focusing on data converters, frequency synthesizers, RF/mm-wave transceiver designs, AI-assisted analog circuit design automation, bio-inspired computing, non-uniformly sampled circuits and systems. Dr. Chen was the recipient of Qualcomm Faculty Award in 2019, NSF Faculty Early Career Development (CAREER) Award, DARPA Young Faculty Award (YFA) both in 2014. His research team received ISSCC Jack Kilby Award and RFIC best student paper award in 2022. Dr. Chen has been serving as an associate or guest editor of the IEEE Journal of Solid-State Circuit (JSSC). IEEE Open Journal of the Solid-State Circuits Society (OJ-SSCS), IEEE Solid-State Circuits Letters (SSC-L), IEEE Transactions on Circuits and Systems II: Express Briefs (TCAS-II), as well as a TPC member in IEEE Solid-State Circuits Society conferences, including the IEEE International Solid-State Circuits Conference (ISSCC), IEEE Symposium on VLSI Circuits (VLSIC), and IEEE Custom Integrated Circuits Conference (CICC). He served as Distinguished Lecturer for IEEE Solid-State Circuits Society (SSCS). He is an IEEE Fellow.
Host: Dr. Steve Crago
More Info: https://www.isi.edu/events/5642/high-speed-dacs-towards-high-performance-and-efficiency/
Webcast: https://usc.zoom.us/j/97017422125?pwd=Dbrt8MNMrmBV3xalKQJcAiNsggFJjJ.1&from=addonWebCast Link: https://usc.zoom.us/j/97017422125?pwd=Dbrt8MNMrmBV3xalKQJcAiNsggFJjJ.1&from=addon
Audiences: Everyone Is Invited
Contact: Amy Kasmir
Event Link: https://www.isi.edu/events/5642/high-speed-dacs-towards-high-performance-and-efficiency/
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor.
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