Author: Nisha Pillai (Page 1 of 2)

Call for abstracts – CSEE research symposium Friday May 4

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 If you have any questions, please contact

[ACM Tech Talk ]A Practitioner’s Introduction to Deep Learning

Presented by :  Ashwinkumar Ganesan, PhD student

1 pm – 2 pm Friday, November 17 2017 , ITE 325 UMBC

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.

Workshop requirements: Laptop

Following are the list of libraries to be installed:
1. numpy, scipy & scikit-learn.
2. tensorflow / tensoflow-gpu. (The first one is the GPU version).
3. matplotlib for visualizations (if necessary).
4. jupyter & ipython. (We will use python2.7 in our experiments).
Following are helpful links:
All of the above can be installed using pip. In case of windows or (any other OS) consider doing an installation of anaconda that has all the necessary libraries.

[Tech Talk] Understanding What We Read and Share: Event Processing from Text and Images

Dr. Frank Ferraro, Assistant Professor, CSEE 
1 pm – 2 pm Friday, November 10, 2017, ITE 325, UMBC
A goal of natural language processing (NLP) is to design machines with human-like communication and language understanding skills. NLP systems able to represent knowledge and synthesize domain-appropriate responses have the potential to improve many tasks and human-facing applications, like virtual assistants such as Google Now or question answering systems like IBM’s Watson.
In this talk, I will present some of my work—past, on-going, and future—in developing knowledge-aware NLP models. I will discuss how to better (1) encode linguistic- and cognitive science-backed meanings within learned word representations, (2) learn high-level representations for document and discourse understanding, and (3) how to generate compelling, human-like stories from sequences of images.
Dr. Frank Ferraro is an assistant professor in the CSEE department at UMBC. His research focuses on natural language processing, computational event semantics, and unlabeled, structured probabilistic modeling over very large corpora. He has published basic and applied research on a number of cross-disciplinary projects, and has papers in areas such as multimodal processing and information extraction, latent-variable syntactic methods and applications, and the induction and evaluation of frames and scripts.

[Tech Talk] How to make yourself comfortable with coding interviews

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.

Hi-Tea Series – III

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

Hi Tea – 10/26/2017

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

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