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April 26, 2019

Experts on artificial intelligence

Author: UCR News
April 26, 2019

 

For fast access to experts, TEXT or call the 24-hour-experts hotline at 951-312-3049, or email news@ucr.edu 

Experts on artificial intelligence 

 

Zizhong (Jeffrey) Chen, Associate Professor, Computer Science & Engineering 
AI applications often involve lots of computations. Zizhong Chen is finding ways to speed up AI applications using high performance computing technologies. https://www.cs.ucr.edu/~chen/index.html zizhong.chen@ucr.edu 

Vagelis Hristidis, Professor, Computer Science & Engineering 
His work correlating Twitter and financial data in 2012 was featured by The New York Times, Forbes and Yahoo, among others. https://www.cs.ucr.edu/~vagelis  evangelos.christidis@ucr.edu 

Eamonn Keogh, Professor, Computer Science & Engineering 
Databases, Data Mining, and Artificial Intelligence. His technology for detecting farm pest insects based on wingbeat frequency has appeared in the New York Times, National Geographic, Fast Company, and many others. https://www.cs.ucr.edu/~eamonn eamonn.keogh@ucr.edu 

Evangelos Papalexakis, Assistant Professor, Computer Science & Engineering 
Data mining, machine learning, and data science research. His work to develop an algorithm that can detect fake news stories has been covered in Digital Trends, Yahoo, and he has helped explain social media news filtering algorithms in The Guardian. https://www.cs.ucr.edu/~epapalex/ evangelos.papalexakis@ucr.edu 

Ravi Ravishankar, Associate Dean of Research and Graduate Education Computer Science & Engineering 
Cybersecurity Databases, Data Mining, and Artificial Intelligence 
chinya.ravishankar@ucr.edu 

Amit Roy-Chowdhury, Chair and Professor, Electrical and Computer Engineering 
Computer vision, image processing, and statistical pattern recognition and signal processing. His research group is involved in research projects related to camera networks, human behavior modeling, face recognition, and bioimage analysis. Has explained facial recognition algorithms in CNET. https://vcg.engr.ucr.edu  amitrc@ece.ucr.edu 

Mariam Salloum, Lecturer – PSOE, Computer Science & Engineering 
Databases, Data Mining, and Artificial Intelligence https://profiles.ucr.edu/mariam.salloum mariam.salloum@ucr.edu 

Christian Shelton, Professor, Computer Science and Engineering 
Christian Shelton researches Artificial Intelligence (AI), specializing in statistical machine learning (ML). Machine learning is the academic discipline of studying algorithms that take past experience (data) and use it to improve future performance on a wide variety of tasks in a wide variety of ways. His primary focus is on developing and analyzing algorithms that infer, predict, or otherwise quantify events and processes that evolve over time. https://www.engr.ucr.edu/people/christianshelton.html cshelton@cs.ucr.edu 

Vassilis Tsotras, Professor, Computer Science & Engineering

Database management, access methods, evolving databases, temporal databases, spatiotemporal databases, spatiotemporal knowledge management, spatiotemporal change management, sensor data, querying complex objects, evolving systems design, multi-version schema evolution, querying trajectories of physical artifacts, data dissemination, FPGA-based publish/subscribe systems, querying spatiotemporal patterns using accelerators, semantic spatiotemporal queries, scalable data management (ASTERIX), Big Active Data management. http://www.cs.ucr.edu/~tsotras vassilis.tsotras@ucr.edu
 

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