In-Person Location: Ingram School of Engineering, San Marcos University

Virtual: Zoom

Date: April 21, 2023

Time: 11:30 am – 1:00 pm

Including Networking and F&B

Cost: none

Talk Title: “Deep Learning in Computer Vision”

Speaker: Dr. Vittal Siddaiah, Ph.D.,

Abstract: The topic is based on doctorate thesis presented in April 2023

Computer Vision has evolved into an interdisciplinary field of science that beams to perform computers process, analyze images and videos to extract information similar to that of human beings.

In recent years, there has been serious interest in the demand for deep learning techniques to the computer vision tasks, particularly in the context of search and social media businesses such as Facebook, Google, and others. These methodologies designed to automatically derive valuable information from images and videos that have been uploaded to the web by users.

Deep Neural Network (DNN) in computer vision has propelled this technology to a different level and made complicated tasks like self-driven cars to the analysis of three-dimensional images from CT scans a possibility. DNN outperforms traditional methods and delivers superior results both in inference accuracy and with reduced latency. Computer Vision, along with DNN, has now reached the stars

Bio:

Dr. Vittal Siddaiah, Ingram School of Engineering, Texas State, San Marcos

Vittal is system engineer at Intel with 15 years of experience in silicon validation.

He led the design of machine learning strategies based Regression Tool Suite for emulation and post-silicon validation, enhancing performance, and reducing the time to triage. He is distinguished for his contributions to the high-performance design of tools in the field of data-analytics and measurements. He has earned several recognitions and awards, including “One Generation Ahead Award” and “Waste Elimination Award.”

Vittal is passionate about mentoring engineers and students. He has won the “Best Trainer Award” at Intel. Some of the domains include Hardware-software co-design, Operations Research, Image Processing, Operating System, Python, and C++.

Vittal has Bachelors in Electronics Engineering, and master’s in management, M Phil in Management, Masters in Mathematics. And has recently obtained PhD in Electronic Engineering at Texas State Ingram School of Engineering under the direction of Prof. Semih Aslan.

If help is needed, please connect with:

Prof. Semih Aslan, aslan@txstate.edu or

Fawzi Behmann, f.behmann@ieee.org

If help is needed, please connect with:

Prof. Semih Aslan, aslan@txstate.edu. or

Fawzi Behmann, f.behmann@ieee.org

Agenda:
Agenda

11:30 am 11:35 am introduction

11:35 am – 12:35 pm Talk & Q& A

12:35 pm – 1:00 pm Membership

1:00 pm – 1:30 pm Recap & Networking

Bldg: Ingram School of Engineering, 601 University Dr., San Marcos, Texas, United States, 78666, Virtual: https://events.vtools.ieee.org/m/357504