As Part of my classes, I invite different distinguish speakers from industry and academia.
Fall 2018 (Software Engineering)
GitHub and the State of the Octoverse, Michael Filosa (GitHub)
Abstract
As the home of open source development, GitHub sits in the center of the world’s software development ecosystem.
With 30 Million+ users from around the world and thousands of organizations GitHub will share interesting insights we have learned from our community, our customers and our partners.
In this talk we will:
- Take a look back to learn about where we came from, how software development workflows and process have changed and evolved.
- Share insights about the current state of the Octoverse.
- Learn about some new and exciting announcements related to GitHub and emerging software development workflows.
- Discuss how and why students can get involved and participate in the open source community and GitHub Ecosystem.
Open discussion and Q & A
Explainable AI: Why Do Deep Models Make Certain Decisions?
Sarah Bargal (Boston University)
Abstract
Deep models are state-of-the-art for many vision tasks including video action recognition and video captioning. Models are trained to caption or classify activity in videos, but little is known about the evidence used to make such decisions. Grounding decisions made by deep networks is an important aspect of understanding why a deep network makes a certain prediction. We visualize the spatiotemporal cues that contribute to a deep model’s classification/captioning output using the model’s internal representation. Based on these spatiotemporal cues, we are able to localize segments within a video that correspond with a specific action, or phrase from a caption, without explicitly optimizing/training for these tasks.
Spring 2018 (Radar Engineering)
Radar, Phases-Arrays, Metamaterials, Stealth, Anti-Stealth and MIMO —
Advances and Breakthroughs”
Dr. Eli Brookner (Raytheon, retired)
IEEE AESS DISTINGUISHED LECTURE
Picture with Dr. Eli Brookner, Radar Class Spring 2018
EM Modeling of Automotive Radar Sensors at Autoliv
Abstract: Do you want to learn more about an autonomous car? Autonomous car is a vehicle that is capable of sensing its environment and navigating without human input. Autonomous cars use a variety of techniques to detect their surroundings, such as radar, laser light, GPS, computer vision and more. In this talk Automotive radar modeling at Autoliv which is tier-1 automotive supplier will be discussed and challenge for such industry will be briefly described.
Speakers: Dr. Karen Kocharyan possesses more than 50 years of professional expertise in Applied Physics and Microwave Engineering. He received his Doctoral degree in Solid State Physics from the General Physics Institute, Moscow USSR in 1992. Till 1997 he was a Lead Scientist at the Institute of Radio Physics and Electronics of Armenian Academy of Sciences. In 1997 he was invited to Tufts University as a Research Professor at Millimeter and Submillimeter Wave Lab of EECS Dept. Here he developed and implemented a new measurement technique for accurate characterization of materials at mm-waves. While at Tufts and up to 2005, he taught a course entitled “Principles of Communications Satellites”. From 2000 he worked in various engineering companies in US where he was responsible for the development of broadband passive microwave and mm-wave components and front-end assemblies for space-and-defense and commercial market. He joined Autoliv in 2016 as a Lead Engineer responsible for the large-scale EM Simulations and Modeling of Radar Sensors in a fully mounted configuration. Kocharyan has over 70 published technical papers and holds 10 US Patents.
Anjali Sharma came to US in 2008 after completing Bachelors in Electronics and Communication Engineering from India. She graduated from Tufts University with a Masters degree (2010) and PhD (2014) in Electrical Engineering. Her research areas include antenna design, development of electromagnetic absorbers and high frequency material measurement techniques. She is currently working as a component engineer at Autoliv Electronics. In this role, she has been involved with the design and testing of RF components and MMICs used in automotive radar. She is also responsible for evaluation and characterization of RF performance of the sensor.