The UMBC student chapters for ACM and IEEE are jointly organizing a one-day research symposium on Computer and Electrical Systems that will be held at bwtech@UMBC’s South Campus on Friday, May 4, 2018.

The goal of the symposium is to recognize and inspire student research by sharing cutting-edge ideas and achievements through presentations, posters, and demonstrations. It will bring students, faculty and collaborators from the Computer Science and Electrical Engineering department together to present their research ideas and results.

The symposium will be held on Friday, May 4, 2018, at the UMBC Technology Center South Campus from 9:00am to 5:00pm. Refreshments and lunch will be provided.

We invite proposals from graduate and undergraduate students and faculty in the following categories.
Faculty research talks
Student research talks
Student poster presentations, demonstrations and/or elevator pitch competition
The deadline to submit abstracts or proposals is April 27, 2018.

There will be awards and cash prizes for
Best emerging Women Research student
Best undergraduate research
Best MS research
Best Ph.D. research
Best poster
Best elevator pitch
Location: The symposium will be held at the bwtech@UMBC South Campus (1450 S Rolling Road, Halethorpe, MD 21227) main building. Parking is free and the UMBC Halethorpe shuttle stops there (stop #18).

More information, including information on submitting an abstract, can be found at https://acm.umbc.edu/rsce2018/cfp/. If you have any questions, please contact acmumbc@csee.umbc.edu.

In recent years, Deep Neural Networks have been highly successful at performing a number of tasks in computer vision, natural language processing and artificial intelligence in general. The remarkable performance gains have led to universities and industries investing heavily in this space. This investment creates a thriving open source ecosystem of tools & libraries that aid the design of new architectures, algorithm research as well as data collection.

This talk (and hands-on session) introduce people to some of the basics of machine learning, neural networks and discusses some of the popular neural network architectures. We take a dive into one of the popular libraries, Tensorflow, and an associated abstraction library Keras.

ACM Career Talk Series – 1

How to make yourself comfortable with coding interviews

Chetan Sai Kumar Thalisetty, 2nd year Master student in C. E.
2 pm – 3 pm Friday, November 3, 2017, ITE 217, UMBC

Getting first-hand knowledge on anything is a privilege, particularly when it helps enhancing your career. The speaker will shed light on ways to prepare for coding interviews drawing on his own experiences, both mentally and technically. He would also indulge the audience on the interview that led him to get the job.

The UMBC ACM Student Chapter welcomes you to the Hi-Tea event.

An opportunity to mingle, network, explore ideas, collaborate and treat yourself to a tea and snacks while you’re at it!

We welcome one and all!

Date: Thursday, November 2, 2017
Time: 1.30 pm-2.00 pm
Venue: CSEE hallway outside ITE 325
Hosted by: Agniva Banerjee

The UMBC ACM Student Chapter welcomes you to the Hi-Tea event.

An opportunity to mingle, network, explore ideas, collaborate and treat yourself to a coffee and snacks while you’re at it! Faculty, staff, and students across computer science, electrical engineering, and computer engineering programs are encouraged to participate.

We welcome one and all!

Date: Thursday, October 26, 2017
Time: 1.30 pm-2.00 pm
Venue: CSEE hallway outside ITE 325
Hosted by: Srishty Saha

Event Registration