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Events for the 2nd week of May
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Technology for Business LeadersMon, May 05, 2025
Executive Education
Conferences, Lectures, & Seminars
Speaker: Dr. Bhaskar Krishnamachari, Ming Hsieh Department of Electrical and Computer Engineering
Talk Title: Technology for Business Leaders
Abstract: Technology for Business Leaders provides a comprehensive exploration of digital transformation and its impact on contemporary business landscapes. Through a series of structured modules, participants will delve into the core concepts of digital technologies, Industry 4.0, innovation, and organizational change management. By analyzing case studies and leveraging practical frameworks, learners will develop the necessary insights and skills to drive successful digital transitions within their organizations.
This course is designed for current and aspiring business leaders seeking to navigate the complexities of digital transformation and drive organizational change effectively. The course consists of five modules, each containing multiple lessons, and is designed to be completed as an asynchronous course, offering flexibility for busy professionals. Upon successful completion of the program, participants receive a University of Southern California Continuing Education Certificate.
Host: USC Viterbi Corporate and Professional Programs
More Info: https://viterbiexeced.usc.edu/technology-for-business-leaders/
Audiences: Everyone Is Invited
Contact: VASE Executive Education
Event Link: https://viterbiexeced.usc.edu/technology-for-business-leaders/
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. -
PhD Dissertation Defense - Bingjie Tang
Mon, May 05, 2025 @ 11:00 AM - 01:00 PM
Thomas Lord Department of Computer Science
University Calendar
Title: From simulation to reality: advancing policy learning for fine-grained manipulation
Date/Time: 05/05/2025 - 11am-1pm.
Venue: 302C in GCS Floor 3
Names of the Dissertation Defense Committee Members:
Gaurav Sukhatme
Jesse Thomason
Erdem Biyik
Feifei Qian
Yashraj Narang
Abstract: Fine-grained manipulation broadly refers to the capability of robots to handle and manipulate objects with high precision, adaptability and robustness. It remains a long-standing challenge in robotics as it includes high-dimensional control, contact-rich dynamics, and robustness towards environment uncertainty. Simulation is a powerful computational tool that has been used for decades to test and optimize safety-critical designs and algorithms in multiple industries. We discuss how we can leverage simulation to enable fast and effective policy learning for fine-grained manipulation and robust transfer to real-world deployment.Location: Ginsburg Hall (GCS) - 302C
Audiences: Everyone Is Invited
Contact: Bingjie Tang
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. -
Technology for Business Leaders
Tue, May 06, 2025
Executive Education
Conferences, Lectures, & Seminars
Speaker: Dr. Bhaskar Krishnamachari, Ming Hsieh Department of Electrical and Computer Engineering
Talk Title: Technology for Business Leaders
Abstract: Technology for Business Leaders provides a comprehensive exploration of digital transformation and its impact on contemporary business landscapes. Through a series of structured modules, participants will delve into the core concepts of digital technologies, Industry 4.0, innovation, and organizational change management. By analyzing case studies and leveraging practical frameworks, learners will develop the necessary insights and skills to drive successful digital transitions within their organizations.
This course is designed for current and aspiring business leaders seeking to navigate the complexities of digital transformation and drive organizational change effectively. The course consists of five modules, each containing multiple lessons, and is designed to be completed as an asynchronous course, offering flexibility for busy professionals. Upon successful completion of the program, participants receive a University of Southern California Continuing Education Certificate.
Host: USC Viterbi Corporate and Professional Programs
More Info: https://viterbiexeced.usc.edu/technology-for-business-leaders/
Audiences: Everyone Is Invited
Contact: VASE Executive Education
Event Link: https://viterbiexeced.usc.edu/technology-for-business-leaders/
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. -
PhD Dissertation Defense - Sasha Volokh
Tue, May 06, 2025 @ 10:00 AM - 12:00 PM
Thomas Lord Department of Computer Science
University Calendar
Dissertation Title: Using Program Analysis to Determine Actions for Video Game Testing
Date/Time: Tuesday, May 6th, 10:00am-12:00pm
Location: Ginsburg Hall (GCS) - 402C - 4th Floor
Committee: William G.J. Halfond (chair), Nenad Medvidovic, Chao Wang, Mukund Raghothaman, Andrew Nealen
Abstract: In the competitive video game market, the quality of games released to consumers is crucial to their success. However, modern games often release with significant bugs, causing consumer dissatisfaction and a loss of business and reputation for the companies involved. Testing is a key mechanism by which such issues can be caught and addressed during the development process. Many testing approaches require a model of the game rules, which is not available by default for games built with typical game development practices. This poses a barrier to the adoption of more advanced testing techniques, requiring either an expert to model the game or a reliance upon imprecise generic models. At a minimum, knowledge of the possible player actions is crucial for thorough manual and automated testing, but determining a precise and complete model of the game actions is challenging for games built with typical game development practices. In my dissertation, I address these challenges through novel program analysis techniques capable of determining precise and complete models of the game actions. To demonstrate the effectiveness of the proposed techniques, I adapted them to specify the action spaces of automated game testing agents, as well as to generate instructions for assisting human testers. The results show that the action models determined via program analysis enable effective automated testing agent performance and are also capable of improving the exploratory testing performance of human testers.Location: Ginsburg Hall (GCS) - 402C
Audiences: Everyone Is Invited
Contact: Sasha Volokh
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. -
ECE Seminar: Dipankar Dasgupta
Tue, May 06, 2025 @ 11:00 AM - 12:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Dipankar Dasgupta, William Hill Professor in Cybersecurity | Director, Center for Information Assurance (CflA) | University of Memphis
Talk Title: Generic LLMs in Cybersecurity
Abstract: Generic Large Language Models (GLLMs) are continuously being released with increased size and capabilities, promoting the abilities of these tools as universal problem solvers. While the reliability of GLLMs' responses is questionable in many situations, these are augmented/ retrofitted with external resources for different applications including cybersecurity.
The talk will discuss major security concerns of these pre-trained models: first GLLMs are prone to adversarial manipulation such as model poisoning, reverse engineering and side-channel cyberattacks. Second, the security issues related to LLM-generated codes using open-source libraries/codelets for software development can involve software supply chain attacks. These may result in information disclosure, access to restricted resources, privilege escalation, and complete system takeover.
This talk will also cover the benefits and risks of using GLLMs in cybersecurity, particularly, in malware detection, log analysis, intrusion detection, etc. I will highlight the need for diverse AI approaches (non-LLM-based smaller models) trained with application-specific curated data, fine-tuned for well-tested security functionalities in identifying and mitigating emerging cyber threats including zero-day attacks.
Biography: Dr. Dipankar Dasgupta is a Professor of Computer Science at the University of Memphis since January 1997. He has extensively worked on the applications of bio-inspired and machine learning approaches to cyber defense. His groundbreaking works, including digital immunity, negative authentication, cloud insurance model, and auth-spectrum, have earned recognition in Computer World Magazine and other media outlets. He received research funding from different federal agencies including NSF, DARPA, IARPA, NSA, NAVY, ONR, DoD and DHS/FEMA. At the National Cyber Leap Year Summit in 2009, Dr. Dasgupta served as a Co-Chair for the Health-Inspired Network Defense working group (see the report, section 6, starting page 46), the results of which have led to a new research program within the Department of Homeland Security’s Science and Technology. With over 300 publications (including 4 patents), 22000+ citations, and an h-index of 68, Dr. Dasgupta's multidisciplinary research is highly acclaimed. He has received numerous awards, including the 2012 Willard R. Sparks Eminent Faculty Award and the 2014 ACM SIGEVO Impact Award. He also received five best paper awards in different international conferences and has organized Symposia on Computational Intelligence in Cyber Security at IEEE SSCI during 2007-2023. Dr. Dasgupta is an IEEE Fellow, AIIA Fellow and NAI Fellow, an ACM Distinguished Speaker (2015-2020), an IEEE Distinguished Lecturer (2022-2024) and 2024 NSF-Fulbright Distinguished Scholar. He regularly serves as a panelist and keynote speaker and offers tutorials in leading computer science conferences and has given more than 350 invited talks in different universities and industries.
Host: Viktor Prasanna, prasanna@usc.edu
More Information: 2025.05.06 ECE Seminar - Dipankar Dasgupta.pdf
Location: Hughes Aircraft Electrical Engineering Center (EEB) - EEB 132
Audiences: Everyone Is Invited
Contact: Miki Arlen
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. -
PhD Dissertation Defense - Jesse Zhang
Tue, May 06, 2025 @ 05:00 PM - 06:30 PM
Thomas Lord Department of Computer Science
University Calendar
Title: Scaling Robot Adaptation with Large Model Guidance
Date: Tuesday, May 6, 2025
Time: 5:00 pm - 6:30 pm Location: RTH (Ronald Tutor Hall), room 306
Defense Committee Members: Erdem Biyik (Chair), Jesse Thomason, Joseph J. Lim, Feifei Qian, Gaurav Sukhatme
Abstract: General-purpose robots deployed in the real world must respond to dynamic environments and continuously learn new tasks. However, existing methods struggle to support such adaptation at scale—that is, without substantial human supervision. In this talk, I present an approach to scalable robot adaptation by leveraging the general knowledge encoded in Large Pre-trained Models (LPTMs). I show how integrating LPTMs with robot learning frameworks can: (1) enhance robot pre-training to better prepare for unfamiliar tasks and settings, (2) adapt to new tasks and environments with human feedback, and (3) ultimately enable autonomous adaptation with minimal human input. Together, these contributions outline a path toward generalizable algorithms that empower robots to learn novel tasks in real-world, unstructured environments.Location: Ronald Tutor Hall of Engineering (RTH) - 306
Audiences: Everyone Is Invited
Contact: Ellecia Williams
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. -
Technology for Business Leaders
Wed, May 07, 2025
Executive Education
Conferences, Lectures, & Seminars
Speaker: Dr. Bhaskar Krishnamachari, Ming Hsieh Department of Electrical and Computer Engineering
Talk Title: Technology for Business Leaders
Abstract: Technology for Business Leaders provides a comprehensive exploration of digital transformation and its impact on contemporary business landscapes. Through a series of structured modules, participants will delve into the core concepts of digital technologies, Industry 4.0, innovation, and organizational change management. By analyzing case studies and leveraging practical frameworks, learners will develop the necessary insights and skills to drive successful digital transitions within their organizations.
This course is designed for current and aspiring business leaders seeking to navigate the complexities of digital transformation and drive organizational change effectively. The course consists of five modules, each containing multiple lessons, and is designed to be completed as an asynchronous course, offering flexibility for busy professionals. Upon successful completion of the program, participants receive a University of Southern California Continuing Education Certificate.
Host: USC Viterbi Corporate and Professional Programs
More Info: https://viterbiexeced.usc.edu/technology-for-business-leaders/
Audiences: Everyone Is Invited
Contact: VASE Executive Education
Event Link: https://viterbiexeced.usc.edu/technology-for-business-leaders/
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. -
Technology for Business Leaders
Thu, May 08, 2025
Executive Education
Conferences, Lectures, & Seminars
Speaker: Dr. Bhaskar Krishnamachari, Ming Hsieh Department of Electrical and Computer Engineering
Talk Title: Technology for Business Leaders
Abstract: Technology for Business Leaders provides a comprehensive exploration of digital transformation and its impact on contemporary business landscapes. Through a series of structured modules, participants will delve into the core concepts of digital technologies, Industry 4.0, innovation, and organizational change management. By analyzing case studies and leveraging practical frameworks, learners will develop the necessary insights and skills to drive successful digital transitions within their organizations.
This course is designed for current and aspiring business leaders seeking to navigate the complexities of digital transformation and drive organizational change effectively. The course consists of five modules, each containing multiple lessons, and is designed to be completed as an asynchronous course, offering flexibility for busy professionals. Upon successful completion of the program, participants receive a University of Southern California Continuing Education Certificate.
Host: USC Viterbi Corporate and Professional Programs
More Info: https://viterbiexeced.usc.edu/technology-for-business-leaders/
Audiences: Everyone Is Invited
Contact: VASE Executive Education
Event Link: https://viterbiexeced.usc.edu/technology-for-business-leaders/
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. -
PhD Dissertation Defense - Alexander Bisberg
Thu, May 08, 2025 @ 02:15 AM - 04:00 PM
Thomas Lord Department of Computer Science
University Calendar
Title: Modeling Competitive and Social Success in Multiplayer Online Games
Date and Time: Thursday, May 8th, 2025 | 2:15pm
Location: GCS 502C
Committee Members: Emilio Ferrara (Chair), Luca Luceri, Dmitri Williams
Abstract:
This dissertation examines the continuum from competitive to social success in online multiplayer games, employing quantitative and qualitative methods to analyze player behavior and performance across diverse virtual environments. Beginning with a framework for systematically comparing skill rating models in competitive contexts (FRAGEM-S), the research progresses to novel applications of graph neural networks for win prediction, demonstrating improved accuracy and cross-league generalizability. At the intersection of competitive and social domains, analysis of communication patterns in World of Tanks clan networks reveals that high-performing teams exhibit distinctive communication structures characterized by distributed connectivity rather than mere volume. Moving toward the social end of the spectrum, a quasi-experimental study in Sky: Children of Light provides compelling evidence for both generalized reciprocity and third-party influence in virtual worlds, showing that experiencing or witnessing generosity significantly increases future prosocial behavior and game engagement. Finally, unsupervised learning techniques identify persistent behavioral archetypes—including Lone Wolves, Newbies, and Socialites that remain consistent across different time periods and game genres. Together, these findings provide a comprehensive framework for understanding competitive and social success in online games, with implications extending to virtual teams and online communities more broadly.Location: Ginsburg Hall (GCS) - 502C
Audiences: Everyone Is Invited
Contact: Alex Bisberg
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. -
PhD Dissertation Defense - Emily Chen
Thu, May 08, 2025 @ 09:30 AM - 11:30 AM
Thomas Lord Department of Computer Science
University Calendar
Title: Human Behavior in Systems that Undergo Change
Date and Time: Thursday, May 8th, 2025 | 9:30 AM - 11:30 AM
Location: GCS 202C
Committee Members: Emilio Ferrara (Chair), Dmitri Williams, Fred Morstatter
Abstract: In an increasingly digital world, understanding human behavior requires looking at both what people say and what they do online. This dissertation bridges these two dimensions by examining how individuals express themselves on social media and how they behave in virtual game environments.
I first focus on explicit expression, analyzing Twitter data from the COVID-19 pandemic and the 2020 U.S. presidential election to explore how misinformation spreads and how political polarization shapes discourse. These studies show how crises intensify misinformation, particularly within echo chambers.
My research then turns to behavior, using data from two games -- League of Legends and Teamfight Tactics -- to investigate how players respond to different structural incentives. Despite the games rewarding different strategies, individual behavior remains surprisingly stable, highlighting the persistent influence of agency.
Together, these studies offer a multi-modal perspective on online behavior, contributing to computational social science and informing the design and governance of sociotechnical platforms.Location: Ginsburg Hall (GCS) - 202C
Audiences: Everyone Is Invited
Contact: Emily Chen
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. -
PhD Dissertation Defense - Elan Markowitz
Thu, May 08, 2025 @ 02:30 PM - 04:00 PM
Thomas Lord Department of Computer Science
University Calendar
Title: Integrating Knowledge Graphs and Large Language Models to Improve Factuality and Reasoning
Date and Time: Thursday, May 8th, 2025 | 2:30p Location: GCS 202C
Committee Members: Aram Galstyan, Greg Ver Steeg, Bistra Dilkina, Antonio Ortega
Abstract: Large Language Models (LLMs) have rapidly emerged as the dominant paradigm in AI due to their powerful understanding of unstructured text, strong reasoning abilities, and highly general task completion capabilities. However, they also have limitations in terms of how they use knowledge. They are black boxes with internal reasoning that is hard to analyze; they hallucinate incorrect facts as if they are true; and they suffer from knowledge cutoffs based on when their training ends. Knowledge graphs naturally complement these weaknesses through providing vast, structured, up-to-date, information over both general and specific domains. At the same time, knowledge graphs have limitations, such as incompleteness and limited reasoning, that can be complemented by Large Language Models. Ultimately, through better integrating these approaches, we will deliver more reliable and trustworthy AI systems.
In this dissertation, I present a body of research on combining Large Language Models and Knowledge Graphs to address many of their individual weaknesses. This includes topics such as addressing knowledge graph incompleteness through combining language models and more structured graph neural networks; Integrating LLMs and external knowledge graphs with advanced reasoning capabilities; Measuring how presentation and other factors impact Large Language Models' understanding of in-context Knowledge Graphs; and using Knowledge Graphs to improve model editing approaches for updating an LLM’s internal knowledge.Location: Ginsburg Hall (GCS) - 202C
Audiences: Everyone Is Invited
Contact: Elan Markowitz
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. -
Technology for Business Leaders
Fri, May 09, 2025
Executive Education
Conferences, Lectures, & Seminars
Speaker: Dr. Bhaskar Krishnamachari, Ming Hsieh Department of Electrical and Computer Engineering
Talk Title: Technology for Business Leaders
Abstract: Technology for Business Leaders provides a comprehensive exploration of digital transformation and its impact on contemporary business landscapes. Through a series of structured modules, participants will delve into the core concepts of digital technologies, Industry 4.0, innovation, and organizational change management. By analyzing case studies and leveraging practical frameworks, learners will develop the necessary insights and skills to drive successful digital transitions within their organizations.
This course is designed for current and aspiring business leaders seeking to navigate the complexities of digital transformation and drive organizational change effectively. The course consists of five modules, each containing multiple lessons, and is designed to be completed as an asynchronous course, offering flexibility for busy professionals. Upon successful completion of the program, participants receive a University of Southern California Continuing Education Certificate.
Host: USC Viterbi Corporate and Professional Programs
More Info: https://viterbiexeced.usc.edu/technology-for-business-leaders/
Audiences: Everyone Is Invited
Contact: VASE Executive Education
Event Link: https://viterbiexeced.usc.edu/technology-for-business-leaders/
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. -
PhD Dissertation Defense - Zhaoxu Zhang
Fri, May 09, 2025 @ 10:00 AM - 12:00 PM
Thomas Lord Department of Computer Science
University Calendar
Dissertation Title: Automated Reproduction of Bug Reports for Mobile Applications
Date/Time: Friday, May 9th, 10:00 am-12:00 pm
Location: Ginsburg Hall (GCS) - 202C - 2nd Floor Location: GCS 202C
Committee: William G.J. Halfond (chair), Nenad Medvidovic, Chao Wang, Jesse Thomason, and Sandeep Gupta.
Abstract:Mobile app developers need to reproduce the failures described in bug reports submitted by app users in order to fix the bug. However, due to the often low quality of bug reports and the complexity of modern applications, this manual reproduction process can be challenging and time-consuming. As a result, there is a significant demand for automated solutions that can assist in reproducing mobile app bug reports. Unfortunately, existing methods for reproducing mobile app bug reports have several limitations. They typically handle only limited forms of natural language text in the bug report, struggle to reproduce bugs when the report lacks accurate and complete reproduction steps, and are unable to reproduce non-crash bugs. In my dissertation, I developed and implemented several techniques to address the limitations of existing approaches and enhance the automated reproduction process for mobile app bug reports. First, I developed an approach that leverages a set of Natural Language Processing analyses to extract step information from bug reports, handling a wider variety of text than existing methods. Second, I introduced two algorithms designed to identify UI events to reproduce the reproduction steps, specifically aimed at addressing the challenges posed by incomplete and inaccurate steps. Third, I designed an approach that automatically recognizes buggy behaviors based on bug reports, enabling the automated reproduction of non-crash bug reports. I evaluated the effectiveness of each technique using real-world bug reports and assessed the overall reproduction performance by integrating them into end-to-end reproduction approaches. The results demonstrated that each individual technique achieved high accuracy, and the combined reproduction approach significantly outperformed state-of-the-art approaches in reproducing mobile app bug reports.Location: Ginsburg Hall (GCS) - 202C
Audiences: Everyone Is Invited
Contact: Zhaoxu Zhang
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. -
ECE Seminar: Naifeng Zhang
Fri, May 09, 2025 @ 11:00 AM - 12:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Naifeng Zhang, PhD Candidate, Electrical and Computer Engineering, Carnegie Mellon University
Talk Title: Code generation for cryptographic kernels using multi-word modular arithmetic
Abstract: Fully homomorphic encryption (FHE) and zero-knowledge proofs (ZKPs) are emerging as solutions for data security in distributed environments. However, the widespread adoption of these encryption techniques is hindered by their significant computational overhead, primarily resulting from core cryptographic operations that involve large integer arithmetic. This paper presents a formalization of multi-word modular arithmetic (MoMA), which breaks down large bit-width integer arithmetic into operations on machine words. We further develop a rewrite system that implements MoMA through recursive rewriting of data types, designed for compatibility with compiler infrastructures and code generators. We evaluate MoMA by generating cryptographic kernels, including basic linear algebra subprogram (BLAS) operations and the number theoretic transform (NTT), targeting various GPUs. Our MoMA-based BLAS operations outperform state-of-the-art multi-precision libraries by orders of magnitude, and MoMA-based NTTs achieve near-ASIC performance on commodity GPUs.
Biography: Naifeng Zhang is a fourth-year Ph.D. candidate in Electrical and Computer Engineering at Carnegie Mellon University, advised by Professor Franz Franchetti. He received bachelor's degrees in Mathematics and Computer Science from the University of Southern California, advised by Professor Viktor K. Prasanna. His research interests include high-performance code generation, programming languages, compilers, and algorithms. His webpage can be found at https://naifeng.github.io/
Host: Dr. Viktor Prasanna, prasanna@usc.edu
More Information: 2025.05.09 ECE Seminar - Naifeng Zhang.pdf
Location: Michelson Center for Convergent Bioscience (MCB) - MCB 102
Audiences: Everyone Is Invited
Contact: Miki Arlen
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, May 09, 2025 @ 12:00 PM - 01:00 PM
Information Sciences Institute
Conferences, Lectures, & Seminars
Speaker: Subramanian Iyer, Professor, UCLA
Talk Title: Strategic Directions for Electronics Packaging
Series: CA DREAMS - Technical Seminar Series
Abstract: Recent advances in electronics packaging have come to the rescue as CMOS scaling has stalled making possible the incredible advances in AI/ML and many other fields, that promise to transform our lives. This journey, however, has only just begun and much more is yet to come. The key features that will drive this transformation can be described with the simple strategy of “scale-down and scale-out” that has characterized monolithic CMOS scaling for several decades, the drive to chiplets with higher yields, and the ability to assemble a diversity of technologies on the same substrate allowing us to blur the lines between monolithic chip and a large heterogeneous assembly of chips. In this talk we will describe our approach to simplify packaging at all levels: from design, architecture, process and manufacturing that have the potential to take packaging to the next level including the ability to scale packaging systematically. If time permits, we will outline how to meet those challenges through a broad and organic Industry-Academia Coalition called ÆPeX America – the Advanced Electronics Packaging eXchange for America. We will outline how companies (small and large), research establishments and Universities can join ÆPeX America and benefit and contribute to our progress.
Biography: Subramanian S. Iyer (Subu) is Distinguished Professor and holds the Charles P. Reames Endowed Chair in the Electrical Engineering Department and a joint appointment in the Materials Science and Engineering Department at the University of California at Los Angeles. In 2023-4, he was on assignment to the US Department of Commerce as Director of the National Advanced Packaging Manufacturing Program, where he laid the foundational strategy for the national packaging imperative. He is the founding Director of the Center for Heterogeneous Integration and Performance Scaling (UCLA CHIPS). Prior to that he was an IBM Fellow. His key technical contributions have been the development of the world’s first SiGe base HBT, Salicide, electrical fuses, embedded DRAM and 45nm technology node used to make the first generation of truly low power portable devices as well as the first commercial interposer and 3D integrated products. Since joining UCLA, he has been exploring new packaging paradigms and device innovations that may enable wafer-scale architectures, in-memory analog compute and medical engineering applications. He is a fellow of IEEE, APS, iMAPS and NAI as well as a Distinguished Lecturer of IEEE EDS and EPS. He is a Distinguished Alumnus of IIT Bombay and received the IEEE Daniel Noble Medal for emerging technologies in 2012 and the 2020 iMAPS Daniel C. Hughes Jr Memorial award and the iMAPS distinguished educator award in 2021. Professor Iyer was also Professor Ramakrishna Rao Visiting Chair Professor at IISc, Bengaluru.
Host: Dr. Steve Crago
More Info: https://www.isi.edu/events/5776/strategic-directions-for-electronics-packaging/
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/5776/strategic-directions-for-electronics-packaging/
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. -
PhD Thesis Proposal - James Huang
Fri, May 09, 2025 @ 03:00 PM - 04:30 PM
Thomas Lord Department of Computer Science
University Calendar
Title: Collaborative Decision-Making of Language Models
Date and Time: Friday, May 9th, 2025 | 3:00p - 4:30p
Location: GCS 502C
Committee Members: Muhao Chen, Fred Morstatter, Laurent Itti, Robbin Jia, Dan O'Leary
Abstract: While general-purpose language models have demonstrated strong performance on a wide range of tasks, they still have their own weaknesses such as biases, misalignment, lack of task-specific knowledge, etc. One promising way of addressing these challenges is to combine the strengths of different language models. In this proposal, I will outline my research exploring various strategies to facilitate collaborative decision making of language models. Specifically, I will present 1) a shortcut mitigation method via ensemble-based attention debiasing, 2) a decoding-time alignment framework that uses model-based reward functions to guide model generation, and 3) an unlearning method that removes sensitive knowledge by learning a logit offset. Finally, I will discuss future directions for language model collaboration.Location: Ginsburg Hall (GCS) - 502C
Audiences: Everyone Is Invited
Contact: James Huang
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. -
TIEHub YCombinator Application Workshop & Mixer
Fri, May 09, 2025 @ 05:00 PM - 06:00 PM
Viterbi Technology Innovation and Entrepreneurship
University Calendar
Meet other USC YC applicants & get feedback on your application over pizza!
Location: Michelson Center for Convergent Bioscience (MCB) - 102
Audiences: Everyone Is Invited
Contact: Viterbi TIE
Event Link: https://cglink.me/2nB/r404355
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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