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Speaker "Ramakrishna Akella" Details Back

 

Topic

AI/ML Research Exemplars at University of California Center for Cognitive, Contextual, Industrial Big Data Analytics
 

Abstract

We describe research exemplars from CIBDA - University of California (Berkeley, Davis, Merced, San Francisco, Santa Cruz )+ Los Angles+ Stanford) multicampus Center for Cognitive, Contextual, Industrial Big Data Analytics. Examples from industry and real world collaborations include
- Internet of Things (IoT)  for dynamic prediction of snow depth in the Sierras using Bayesian Kalman Filtering and other dynamic denoising techniques that address missing data
- Causal and dynamic Attribution in Digital Marketing with Campaign Optimization
- Dynamic temporal and multi-modal (vitals and text notation) of ICU mortality and health/disease state prediction - (contrasting our  Bayesian Kalman Filtering with Deep Learning approaches)
- Semantic search for service centers
- Adapative data optimization to collect and act on data in global semiconductor industry
 

Profile

Ram Akella Professor and Director University of California • Ram Akella is Professor of Information Systems and Technology Management, and Director of the Center for Large Scale Analytics and Smart Services (CLASS) at the University of California, including KISMT; his appointment at Berkeley is at the School of Information, and at Stanford has been in Management Science and Engineering, and in Informatics and Medicine. His current interests span Big Data Analytics (Department of Commerce/NIST/NSF – Mining Big Data Fusion from Multiple Sources and Types and Temporal Prediction), Dynamic Bayesian Recommender Systems and Personalization (Google), Computational Advertising (with Yahoo), Online Marketing and Attribution in Marketplaces and with dynamics (AOL Faculty Award), Native Advertising (NativeX), Customer and Product Health - Social Media & Web Marketing Analytics (HP), Query Intent Detection in Sponsored Search (Microsoft Faculty Award), Social Game Analytics (Claritics), Machine Learning, Interactive Information Retrieval (SAP), Information Extraction and Service Analytics (Cisco), Data, Text, Image and Video Mining (NASA), Healthcare Analytics (IBM Faculty Award, CITRIS), Energy Analytics(CITRIS). His broader interests span Financial Engineering, Supply Chain, Innovation, Product-Service Analytics, Pricing and Costing. He has worked with over 200 firms in domains ranging from semiconductors, PCs software, and auto to food. Ram has straddled Engineering, Management, Computer Science, Information Sciences, and Medicine, through appointments at Carnegie Mellon (Associate Professor between the Business School and Computer Science), and then at MIT, Berkeley and Stanford, including forming Technology and Information Management (TIM) at UCSC as Founding Director. He followed up his BS and PhD in EECS at IIT Madras and IISc, Bangalore, with postdoctoral appointments at Harvard and MIT. His editorial and program committee roles span IEEE, INFORMS, IIE, and ACM. His students have gone on to be faculty and department and Endowed Chairs at major schools such as University of Michigan Ann Arbor, Northwestern University, Columbia University, NYU, USC, and the London Business School, or executives, entrepreneurs, VCs, and lawyers (AT Kearney, BCG, Juniper, Intel Capital, Spoke, MerchantCircle, Cooley LLP, Amazon, eBay, etc.). His industry board memberships include the Unit Trust of India Ventures and the IAB, Ericsson, NA. He enjoys receiving stock from appreciative executives.