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Author Archives: Ashwin Satyanarayana

Panelist at MAA Annual Meeting 2018 at Hofstra University

I have been invited to serve as a panelist at the Mathematical Association of America (MAA) Annual Meeting at Hofstra University on May 13th (Sunday). The panel discussion is titled: “Partner Disciplines on Teaching Mathematics”. The schedule is posted here: http://sections.maa.org/metrony/meetings.html


Keynote Talk at City Tech Research Conference on May 1st

I will be giving the Keynote talk at the 12th City Tech Research Conference 2018 on May 1st. The title of my talk is: “The Power of Descriptive, Predictive and Prescriptive Data Analytics”. I will be discussing the simplicity and power of large amounts of data in two specific areas: Search Engines and Educational Data Mining. The conference will be held in N-119. The schedule for the conference is: CTRC-12th City Tech Research Conference-PC-D.


Data Science Faculty at CUNY Graduate Center

I am pleased to announce that I am a Data Science Faculty member for the “M.S. program in Data Science” at CUNY Graduate Center. More details of the program can be found at: https://gc.cuny.edu/Page-Elements/Academics-Research-Centers-Initiatives/Masters-Programs/Data-Science/

Paper accepted at IEEE CCECE 2018 Conference

Our paper (with Dr. Janusz Kusyk and Dr. Yu-Wen Chen) on “Design of Cloud Based Robots using Big Data Analytics and Neuromorphic Computing” has been accepted for publication at the 31st IEEE Canadian Conference on Electrical and Computer Engineering (CCECE 2018). The conference will be held in Quebec city, Canada, from May 13th-16th, 2018.

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.

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