USC-Meta Center Brings Progress to AI Education and Research – USC Viterbi | School of Engineering – USC Viterbi School of Engineering
Center director Murali Annavaram (second from right) and associate director Meisam Razaviyayn (far right) hosted the event (PHOTO CREDIT: USC Viterbi)
On May 23rd, the USC-Meta Center for Research and Education in AI and Machine Learning hosted its first major event. The center was established in Fall of 2021 with the goal of addressing the technological challenges related to making AI and machine learning sustainable, efficient, and scalable. Nearly 100 attendees including, Meta representatives and USC Viterbi students and faculty who work in the AI and Machine Learning spaces, attended the workshop and poster session.
Our center identified four pillars of support we can provide to the next generation of AI and Machine Learning researchers and industry leaders, said Murali Annavaram, Professor of Electrical and Computer Engineering and the centers inaugural director. Those pillars, research, teaching, fellowships, and outreach, were all addressed at this inaugural in-person event.
Research
Seventeen USC Viterbi students shared their research in AI and Machine Learning with visitors from Meta (PHOTO CREDIT: USC Viterbi)
The research focus of the event centered on a series of ML presentations on the efficiency, security, and privacy of machine learning algorithms, followed by an in-depth poster session. A total of 25 PhD students shared their research with the visiting Meta team. These events allowed Meta visitors to get a better understanding of the breadth and depth of work already being done at USC Viterbi in AI and Machine Learning. The face-to-face nature of the session allowed industry representatives to ask questions and collaborate with researchers on future ideas.
USC Viterbi already has a strong presence in AI and Machine Learning research, which is why we were selected to establish this center, said Meisam Razaviyayn, Assistant Professor of Industrial and Systems Engineering, and the centers Associate Director. The research sessions are a perfect opportunity to showcase our strength to our Meta partners and to establish future collaborations.
The event was a great opportunity to connect with folks in industry and exchange ideas. It was nice to present my work to people who might be able to apply our algorithms in practice to help protect peoples privacy, at Meta and beyond, said PhD student and presenter Andrew Lowy.
Teaching
As the field of AI and Machine Learning grows and technology continues to improve, teaching and courses that address this area can and must evolve alongside it. At this workshop, the USC-Meta center announced two important curriculum enhancements that will better prepare students for research and work in these fields. The electrical and computer engineering department is adding systems and implementation-oriented ML course offerings in the near future (pending university approvals) and the industrial and systems engineering department is significantly enhancing the curriculum of the Masters in Analytics program.
Fellowships
Center leaders announced the inaugural cohort of six new MS fellowship recipients, a first of its kind at USC. In fact, these fellowships represent the first comprehensive, all-tuition paid fellowships for MS students with diverse and rigorous academic backgrounds. The awards also will foster diversity and inclusion among MS students working in relevant areas of research.
The generous support of the USC Meta Center has provided an invaluable opportunity for Masters students to pursue their passion for AI, said Camillia Lee, USC Viterbi Associate Dean of Graduate Admission. The USC Meta fellowship will play a major role in achieving the Viterbi Schools goal of continuing to attract some of the most talented and diverse students in the country, and prepare them for future careers in AI and machine learning.
Outreach
During the centers board meeting, USC Viterbi and Meta discussed the importance of improving mentorship and support to students who are part of the center or supported by center fellowships. The team agreed that outreach in this area should be expanded beyond PhD students to also include MS, undergraduate students, and K-12 students.
In collaboration with USC Viterbis SURE (summer undergraduate research experience) program, the center will support multiple undergraduate student researchers visiting USC this summer. That program, which sees students from all over the country come to campus to be exposed to engineering research, will now enjoy more support from the USC-Meta center. Five high school students will also be supported and mentored by the center this summer as part of USC Viterbis SHINE program. Leaders of both those programs were quick to praise the centers support.
This type of support, mentorship, and encouragement is transformative for students who are underrepresented in STEM, said Katie Mills, co-director of the USC Viterbi K-12 STEM Center. SHINE alumni go on to leading research universities, majoring in STEM, with a strong sense of the benefits to society of research and technology. The USC Meta Center is making those opportunities more available at the local level.
The additional financial support for SURE from the USC-Meta center will allow us to bring even more students into this program and let us focus even more on the important and growing fields of AI and Machine learning, said Andy Jones-Liang, associate director of academic services.
Despite the already great progress made in the nascent 5 months since the inception of the center, the center directors have a vision to bring academic and industry researchers in ML to collaborate on compelling societal challenges and to provide mentoring support for the next generation of ML engineers.
Published on June 16th, 2022
Last updated on June 16th, 2022
Follow this link:
USC-Meta Center Brings Progress to AI Education and Research - USC Viterbi | School of Engineering - USC Viterbi School of Engineering
- Machine learning-based differentiation of schizophrenia and bipolar disorder using multiscale fuzzy entropy and relative power from resting-state EEG... - April 12th, 2025 [April 12th, 2025]
- Increasing load factor in logistics and evaluating shipment performance with machine learning methods: A case from the automotive industry - Nature - April 12th, 2025 [April 12th, 2025]
- Machine learning-based prediction of the thermal conductivity of filling material incorporating steelmaking slag in a ground heat exchanger system -... - April 12th, 2025 [April 12th, 2025]
- Do LLMs Know Internally When They Follow Instructions? - Apple Machine Learning Research - April 12th, 2025 [April 12th, 2025]
- Leveraging machine learning in precision medicine to unveil organochlorine pesticides as predictive biomarkers for thyroid dysfunction - Nature - April 12th, 2025 [April 12th, 2025]
- Analysis and validation of hub genes for atherosclerosis and AIDS and immune infiltration characteristics based on bioinformatics and machine learning... - April 12th, 2025 [April 12th, 2025]
- AI and Machine Learning - Bentley and Google partner to improve asset analytics - Smart Cities World - April 12th, 2025 [April 12th, 2025]
- Where to find the next Earth: Machine learning accelerates the search for habitable planets - Phys.org - April 10th, 2025 [April 10th, 2025]
- Concurrent spin squeezing and field tracking with machine learning - Nature - April 10th, 2025 [April 10th, 2025]
- This AI Paper Introduces a Machine Learning Framework to Estimate the Inference Budget for Self-Consistency and GenRMs (Generative Reward Models) -... - April 10th, 2025 [April 10th, 2025]
- UCI researchers study use of machine learning to improve stroke diagnosis, access to timely treatment - UCI Health - April 10th, 2025 [April 10th, 2025]
- Assessing dengue forecasting methods: a comparative study of statistical models and machine learning techniques in Rio de Janeiro, Brazil - Tropical... - April 10th, 2025 [April 10th, 2025]
- Machine learning integration of multimodal data identifies key features of circulating NT-proBNP in people without cardiovascular diseases - Nature - April 10th, 2025 [April 10th, 2025]
- How AI, Data Science, And Machine Learning Are Shaping The Future - Forbes - April 10th, 2025 [April 10th, 2025]
- Development and validation of interpretable machine learning models to predict distant metastasis and prognosis of muscle-invasive bladder cancer... - April 10th, 2025 [April 10th, 2025]
- From fax machines to machine learning: The fight for efficiency - HME News - April 10th, 2025 [April 10th, 2025]
- Carbon market and emission reduction: evidence from evolutionary game and machine learning - Nature - April 10th, 2025 [April 10th, 2025]
- Infleqtion Unveils Contextual Machine Learning (CML) at GTC 2025, Powering AI Breakthroughs with NVIDIA CUDA-Q and Quantum-Inspired Algorithms - Yahoo... - March 22nd, 2025 [March 22nd, 2025]
- Karlie Kloss' coding nonprofit offering free AI and machine learning workshop this weekend - KSDK.com - March 22nd, 2025 [March 22nd, 2025]
- Machine learning reveals distinct neuroanatomical signatures of cardiovascular and metabolic diseases in cognitively unimpaired individuals -... - March 22nd, 2025 [March 22nd, 2025]
- Machine learning analysis of cardiovascular risk factors and their associations with hearing loss - Nature.com - March 22nd, 2025 [March 22nd, 2025]
- Weekly Recap: Dual-Cure Inks, AI And Machine Learning Top This Weeks Stories - Ink World Magazine - March 22nd, 2025 [March 22nd, 2025]
- Network-based predictive models for artificial intelligence: an interpretable application of machine learning techniques in the assessment of... - March 22nd, 2025 [March 22nd, 2025]
- Machine learning aids in detection of 'brain tsunamis' - University of Cincinnati - March 22nd, 2025 [March 22nd, 2025]
- AI & Machine Learning in Database Management: Studying Trends and Applications with Nithin Gadicharla - Tech Times - March 22nd, 2025 [March 22nd, 2025]
- MicroRNA Biomarkers and Machine Learning for Hypertension Subtyping - Physician's Weekly - March 22nd, 2025 [March 22nd, 2025]
- Machine Learning Pioneer Ramin Hasani Joins Info-Tech's "Digital Disruption" Podcast to Explore the Future of AI and Liquid Neural Networks... - March 22nd, 2025 [March 22nd, 2025]
- Predicting HIV treatment nonadherence in adolescents with machine learning - News-Medical.Net - March 22nd, 2025 [March 22nd, 2025]
- AI And Machine Learning In Ink And Coatings Formulation - Ink World Magazine - March 22nd, 2025 [March 22nd, 2025]
- Counting whales by eavesdropping on their chatter, with help from machine learning - Mongabay.com - March 22nd, 2025 [March 22nd, 2025]
- Associate Professor - Artificial Intelligence and Machine Learning job with GALGOTIAS UNIVERSITY | 390348 - Times Higher Education - March 22nd, 2025 [March 22nd, 2025]
- Innovative Machine Learning Tool Reveals Secrets Of Marine Microbial Proteins - Evrim Aac - March 22nd, 2025 [March 22nd, 2025]
- Exploring the role of breastfeeding, antibiotics, and indoor environments in preschool children atopic dermatitis through machine learning and hygiene... - March 22nd, 2025 [March 22nd, 2025]
- Applying machine learning algorithms to explore the impact of combined noise and dust on hearing loss in occupationally exposed populations -... - March 22nd, 2025 [March 22nd, 2025]
- 'We want them to be the creators': Karlie Kloss' coding nonprofit offering free AI and machine learning workshop this weekend - KSDK.com - March 22nd, 2025 [March 22nd, 2025]
- New headset reads minds and uses AR, AI and machine learning to help people with locked-in-syndrome communicate with loved ones again - PC Gamer - March 22nd, 2025 [March 22nd, 2025]
- Enhancing cybersecurity through script development using machine and deep learning for advanced threat mitigation - Nature.com - March 11th, 2025 [March 11th, 2025]
- Machine learning-assisted wearable sensing systems for speech recognition and interaction - Nature.com - March 11th, 2025 [March 11th, 2025]
- Machine learning uncovers complexity of immunotherapy variables in bladder cancer - Hospital Healthcare - March 11th, 2025 [March 11th, 2025]
- Machine-learning algorithm analyzes gravitational waves from merging neutron stars in the blink of an eye - The University of Rhode Island - March 11th, 2025 [March 11th, 2025]
- Precision soil sampling strategy for the delineation of management zones in olive cultivation using unsupervised machine learning methods - Nature.com - March 11th, 2025 [March 11th, 2025]
- AI in Esports: How Machine Learning is Transforming Anti-Cheat Systems in Esports - Jumpstart Media - March 11th, 2025 [March 11th, 2025]
- Whats that microplastic? Advances in machine learning are making identifying plastics in the environment more reliable - The Conversation Indonesia - March 11th, 2025 [March 11th, 2025]
- Application of machine learning techniques in GlaucomAI system for glaucoma diagnosis and collaborative research support - Nature.com - March 11th, 2025 [March 11th, 2025]
- Elucidating the role of KCTD10 in coronary atherosclerosis: Harnessing bioinformatics and machine learning to advance understanding - Nature.com - March 11th, 2025 [March 11th, 2025]
- Hugging Face Tutorial: Unleashing the Power of AI and Machine Learning - - March 11th, 2025 [March 11th, 2025]
- Utilizing Machine Learning to Predict Host Stars and the Key Elemental Abundances of Small Planets - Astrobiology News - March 11th, 2025 [March 11th, 2025]
- AI to the rescue: Study shows machine learning predicts long term recovery for anxiety with 72% accuracy - Hindustan Times - March 11th, 2025 [March 11th, 2025]
- New in 2025.3: Reducing false positives with Machine Learning - Emsisoft - March 5th, 2025 [March 5th, 2025]
- Abnormal FX Returns And Liquidity-Based Machine Learning Approaches - Seeking Alpha - March 5th, 2025 [March 5th, 2025]
- Sentiment analysis of emoji fused reviews using machine learning and Bert - Nature.com - March 5th, 2025 [March 5th, 2025]
- Detection of obstetric anal sphincter injuries using machine learning-assisted impedance spectroscopy: a prospective, comparative, multicentre... - March 5th, 2025 [March 5th, 2025]
- JFrog and Hugging Face team to improve machine learning security and transparency for developers - SDxCentral - March 5th, 2025 [March 5th, 2025]
- Opportunistic access control scheme for enhancing IoT-enabled healthcare security using blockchain and machine learning - Nature.com - March 5th, 2025 [March 5th, 2025]
- AI and Machine Learning Operationalization Software Market Hits New High | Major Giants Google, IBM, Microsoft - openPR - March 5th, 2025 [March 5th, 2025]
- FICO secures new patents in AI and machine learning technologies - Investing.com - March 5th, 2025 [March 5th, 2025]
- Study on landslide hazard risk in Wenzhou based on slope units and machine learning approaches - Nature.com - March 5th, 2025 [March 5th, 2025]
- NVIDIA Is Finding Great Success With Vulkan Machine Learning - Competitive With CUDA - Phoronix - March 3rd, 2025 [March 3rd, 2025]
- MRI radiomics based on machine learning in high-grade gliomas as a promising tool for prediction of CD44 expression and overall survival - Nature.com - March 3rd, 2025 [March 3rd, 2025]
- AI and Machine Learning - Identifying meaningful use cases to fulfil the promise of AI in cities - SmartCitiesWorld - March 3rd, 2025 [March 3rd, 2025]
- Prediction of contrast-associated acute kidney injury with machine-learning in patients undergoing contrast-enhanced computed tomography in emergency... - March 3rd, 2025 [March 3rd, 2025]
- Predicting Ag Harvest using ArcGIS and Machine Learning - Esri - March 1st, 2025 [March 1st, 2025]
- Seeing Through The Hype: The Difference Between AI And Machine Learning In Marketing - AdExchanger - March 1st, 2025 [March 1st, 2025]
- Machine Learning Meets War Termination: Using AI to Explore Peace Scenarios in Ukraine - Center for Strategic & International Studies - March 1st, 2025 [March 1st, 2025]
- Statistical and machine learning analysis of diesel engines fueled with Moringa oleifera biodiesel doped with 1-hexanol and Zr2O3 nanoparticles |... - March 1st, 2025 [March 1st, 2025]
- Spatial analysis of air pollutant exposure and its association with metabolic diseases using machine learning - BMC Public Health - March 1st, 2025 [March 1st, 2025]
- The Evolution of AI in Software Testing: From Machine Learning to Agentic AI - CSRwire.com - March 1st, 2025 [March 1st, 2025]
- Wonder Dynamics Helps Boxel Studio Embrace Machine Learning and AI - Animation World Network - March 1st, 2025 [March 1st, 2025]
- Predicting responsiveness to fixed-dose methylene blue in adult patients with septic shock using interpretable machine learning: a retrospective study... - March 1st, 2025 [March 1st, 2025]
- Workplace Predictions: AI, Machine Learning To Transform Operations In 2025 - Facility Executive Magazine - March 1st, 2025 [March 1st, 2025]
- Development and validation of a machine learning approach for screening new leprosy cases based on the leprosy suspicion questionnaire - Nature.com - March 1st, 2025 [March 1st, 2025]
- Machine learning analysis of gene expression profiles of pyroptosis-related differentially expressed genes in ischemic stroke revealed potential... - March 1st, 2025 [March 1st, 2025]
- Utilization of tree-based machine learning models for predicting low birth weight cases - BMC Pregnancy and Childbirth - March 1st, 2025 [March 1st, 2025]
- Machine learning-based pattern recognition of Bender element signals for predicting sand particle-size - Nature.com - March 1st, 2025 [March 1st, 2025]
- Wearable Tech Uses Machine Learning to Predict Mood Swings - IoT World Today - March 1st, 2025 [March 1st, 2025]
- Machine learning can prevent thermal runaway in EV batteries - Automotive World - March 1st, 2025 [March 1st, 2025]
- Integration of multiple machine learning approaches develops a gene mutation-based classifier for accurate immunotherapy outcomes - Nature.com - March 1st, 2025 [March 1st, 2025]
- Data Analytics Market Size to Surpass USD 483.41 Billion by 2032 Owing to Rising Adoption of AI & Machine Learning Technologies - Yahoo Finance - March 1st, 2025 [March 1st, 2025]
- Predictive AI Only Works If Stakeholders Tune This Dial - The Machine Learning Times - March 1st, 2025 [March 1st, 2025]
- Relationship between atherogenic index of plasma and length of stay in critically ill patients with atherosclerotic cardiovascular disease: a... - March 1st, 2025 [March 1st, 2025]