Experts in Computer Science & Engineering Available for Consultation
Tech experts at the University of California, Riverside are now just a text or call away with the launch of the 24-hour experts hotline. Whether you need assistance with databases, data mining, artificial intelligence, computer vision, or machine learning, the experts at UCR are ready to help.
One of the experts available through the hotline is Zizhong (Jeffrey) Chen, an Associate Professor in Computer Science & Engineering. Vagelis Hristidis, a Professor in the same department, is also on hand to provide guidance and support. Eamonn Keogh, known for his work in detecting farm pest insects based on wingbeat frequency, is another expert you can reach through the hotline.
If you’re interested in data mining, machine learning, and data science, you can contact Evangelos Papalexakis, an Assistant Professor in Computer Science & Engineering. Ravi Ravishankar, the Associate Dean of Research and Graduate Education in Computer Science & Engineering, is also available to provide insights and expertise.
Amit Roy-Chowdhury, the Chair and Professor of Electrical and Computer Engineering, specializes in computer vision, image processing, and statistical pattern recognition. Christian Shelton, a Professor in Computer Science and Engineering, focuses on statistical machine learning and developing algorithms for various tasks. Vassilis Tsotras, a Professor in Computer Science & Engineering, specializes in database management and evolving databases.
Shaolei Ren, an Associate Professor of Electrical and Computer Engineering, is a leading expert on the environmental costs of AI. His research on AI’s water, carbon, and pollution footprints has been covered in numerous prestigious publications and has prompted calls for addressing AI’s environmental impacts from various international organizations.
For fast access to these experts and more, simply text or call the 24-hour experts hotline at 951-312-3049, or email news@ucr.edu. Stay connected with the latest developments in technology with the experts at the University of California, Riverside.
