At CSEdu4All, we aim to make computer science educational content easily accessible to people (i.e., students, professionals, computer science enthusiasts) around the world. We believe that everyone has the right to good education, and geographical and political boundaries should not be a barrier to obtaining knowledge and information. CSEdu4All is the brainchild of two passionate computer science professors, Arti Ramesh and Anand Seetharam from the State University of New York Binghamton.To ensure that students around the world have access to high quality educational content, all content available on CSEdu4All has been tested and reviewed by students.
Please subscribe to Prof. Ramesh’s YouTube channel and Prof. Seetharam’s YouTube channel. Please like and share these videos so that others can also benefit from these channels.
Assistant Professor, SUNY Binghamton
Arti Ramesh is an assistant professor in Department of Computer Science at SUNY Binghamton. She received her PhD in Computer Science from University of Maryland, College Park. Her primary research interests are in the field of machine learning, data mining, and natural language processing, particularly statistical relational models and deep learning. Her research focuses on building structured, fair, and interpretable models for reasoning about interconnectedness, structure, and heterogeneity in networked data. She has published papers in peer-reviewed conferences such as AAAI, ACL, and WWW. She has served on the TPC/reviewer for notable conferences such as ICML, IJCAI, AAAI, NIPS, SDM, and EDM. She has won multiple awards during her graduate study including the Ann G. Wylie Dissertation Fellowship, outstanding graduate student Dean’s fellowship, Dean’s graduate fellowship, and yahoo scholarship for grace hopper conference.
Assistant Professor, SUNY Binghamton
Anand Seetharam is an assistant professor in the computer science department at SUNY Binghamton. He obtained his PhD. from University of Massachusetts Amherst. His research encompasses the fields of computer networks, wireless networks, ubiquitous computing, cyber-physical systems and data science. He directs the Future InterNet Design Lab (FIND) at SUNY Binghamton. He has published numerous papers in peer-reviewed journals and conferences and have served on as technical program committee member of multiple conferences including IEEE INFOCOM and IEEE ICC as well as reviewer for multiple journals including IEEE Transactions on Networking, IEEE Transactions on Mobile Computing and IEEE Transactions on Vehicular Technology. He has won multiple awards including the ACM ICN 2014 runners up to best paper award, the University of Massachusetts Amherst Outstanding Synthesis Award and the University of Massachusetts Amherst Portfolio with Distinction Award and has a U.S. patent on video streaming systems.