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Author Archives: Ashwin Satyanarayana

Received Open Educational Resources (OER) Fellowship at New York City College of Technology

I am happy to announce that I have been selected as an Open Educational Resources (OER) Initiative fellow for Spring 2018 – Fall 2018. It is a forum where through readings, assignments, discussions, and activities, participants will learn about open educational resources (OER), the principles of open pedagogy, and applicable strategies to create OERs. Topics will cover Creative Commons licensing, resources to help locate discipline specific OERs, and strategies to adopt and generate cohesive and engaging course materials.

Birds-of-a-Feather (BOF) Session and Poster accepted at ACM SIGCSE conference

I am pleased to inform that a discussion session titled “Pros and Cons of Using Data Analytics for Predicting Academic Performance in Computer Science Courses” (with co-authors J. Bivens and J. Chen), and a Poster titled “Building a Community of First Year Students Improves Student Retention and Performance in Computing Courses” (with co-author C. Cabo) are both accepted for publication at the ACM SIGCSE 2018 conference to be held in Feb 2018.

Paper accepted at AERA 2018 annual meeting

Our new paper (with Dr. Candido Cabo) on “Building Community Improves Student Performance in First-Year Computing Courses” has been accepted for presentation at the  American Educational Research Association (AERA) 2018 annual meeting. AERA received over 13,000 submissions this year. The conference will be held in New York City, New York, from Friday, April 13 to Tuesday, April 17, 2018. More details about the conference can be found at: http://www.aera.net/Events-Meetings/Annual-Meeting/2018-Annual-Meeting-General-Information

 

New Student: Jan Way Chen

I am pleased to announce that Jan Way Chen will be my new research student (for Fall 2017 and Spring 2018). He will be working on Filtering noisy instances in Big data project. He has already started reviewing and running experiments with the ensemble noise filtering code. Welcome aboard Jan!

Elected as Vice Chair for ASEE Mid-Atlantic

I am happy to announce that i was elected as the Vice Chair of the American Society for Engineering Education (ASEE) Mid-Atlantic Section. I will taking on the new role starting June 1st, 2017.

Awarded PSC CUNY Grant (Traditional A)

I am pleased to announce that I have been awarded the 2017-2018 Cycle 48 PSC-CUNY Research Award (Traditional A) for research in “Cloud Robotics using Big Data and Neuromorphic Computing” to begin July 1st 2017.

CST student Alisa Kalegina got admitted into the PhD program at UW, Seattle.

I am happy to announce that one of my research students Alisa Kalegina got into the CS department at University of Washington, Seattle and will be working with Prof. Maya Cakmak (human-centered robotics lab).

Appointed as Doctoral Faculty Member at Graduate Center (CUNY)

I am now a member of the Doctoral Faculty of The Graduate School and University Center’s PhD Program in Computer Science. If you are interested in doing research in Big Data Analytics or Data Mining (Sampling and Filtering Massive datasets), please shoot me an email.

I will be teaching “Information Retrieval” course in Fall 2017.

Paper published at International Journal of Mathematical Education in Science and Technology

Paper titled “Introducing computational thinking through hands-on projects using R with applications to calculus, probability and data analysis” is now published. This is work done in collaboration with Math professors (Nadia Benakli, Boyan Kostadinov, Satyanand Singh) at CityTech. 
Abstract: The goal of this paper is to promote computational thinking among mathematics, engineering, science and technology students, through hands-on computer experiments. These activities have the potential to empower students to learn, create and invent with technology, and they engage computational thinking through simulations, visualizations and data analysis. We present nine computer experiments and suggest a few more, with applications to calculus, probability and data analysis, which engage computational thinking through simulations, visualizations and data analysis. We are using the free (open-source) statistical programming language R. Our goal is to give a taste of what R offers rather than to present a comprehensive tutorial on the R language. In our experience, these kinds of interactive computer activities can be easily integrated into a smart classroom. Furthermore, these activities do tend to keep students motivated and actively engaged in the process of learning, problem solving and developing a better intuition for understanding complex mathematical concepts.

Fatima Checbchoub selected for Microsoft summer research program

Congratulations to my student Fatima for getting into the Microsoft summer research program. It was an extremely competitive process, with hundreds of students applying for just eight positions. She will be doing research on Big Data, and learning from experts in the field. DS3 includes both course work in data science and group research projects. The summer school is taught by leading scientists at Microsoft Research, and is held at the new Microsoft Research office in the heart of New York City. More details can be found at their site: https://ds3.research.microsoft.com

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