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Can you tell us what you do?

Former ALERT student researcher, Srikrishna Karanam, reflects on his time with ALERT and how it prepared him for working in the Homeland Security Enterprise.

Srikrishna joined ALERT in 2013 as a graduate student working with Prof. Richard J. Radke at Rensselaer Polytechnic Institute (RPI) on video analytics problems in camera networks. Srikrishna is now working as a Research Scientist at Siemens Corporate Research, focusing on computer vision and machine learning.

Srikrishna Karanam, an ALERT Ph.D. student in Computer and Systems Engineering at Rensselaer Polytechnic Institute (RPI), has been “Searching for people in camera networks,” (the title of his doctoral thesis) with his faculty advisor, Prof. Richard Radke, for over three years.

As described by Srikrishna, “The overall goal of the project is to design and develop a system, called tag and track, to assist TSA officials in detecting and tracking persons of interest in critical and busy environments such as airports. My role is to develop and implement the underlying algorithms that drive the system.” (To see the related ALERT 101 video, click here).

What did you study? How did you end up in such an offbeat, unconventional and uncommon career?

At RPI, he earned his MS in Electrical Engineering and his Ph.D. in Computer and Systems Engineering.

After completing his Bachelor of Technology degree in Electronics and Communication Engineering from the National Institute of Technology Warangal in India, Srikrishna joined RPI as a Master’s student, initially involved in tracking people as they moved in videos, before joining ALERT’s video analytics research team.

When asked what about his work drives him, he states, “I am very passionate about algorithmic research being actually used to solve real-world problems. My involvement with ALERT has provided me with a wonderful opportunity to develop algorithms and systems keeping real-world constraints in mind… How do we ensure that the system works efficiently in such cases and does not ‘lose’ the person being tracked in the crowd? This is one of the several questions I want to address going forward.”

Naturally, there have been challenges along the way.  Srikrishna and his team worked to design a user-friendly system so that someone unfamiliar with Computer Vision was able to utilize the software. He states that, “The system had to work in real-time on live video feeds in the airport, so developing efficient and optimized algorithms was critical.” As a result of his work, he has authored and co-authored 9 papers (including 1 journal article and 5 conference papers in press, as well as several submitted).

When asked about his experience working with Prof. Radke, he says, “I have immensely enjoyed working with Prof. Radke. He has given me a lot of independence in developing ideas for my dissertation, and I feel that has helped me grow as a researcher.”

Can you describe your role at Siemens and the research you are conducting now?

SK:  I work as a Research Scientist in the Vision Technologies and Solutions group at Siemens Corporate Technology, where I research topics in Computer Vision and Machine Learning. I am responsible for developing algorithms to address research problems, as well as prototype systems that leverage these algorithms to solve real-world problems. My current research focuses on all aspects of image indexing, search, and retrieval with applications in object recognition and pose estimation.

Where do you see yourself in 5 years?

SK:  My past research experience at RPI and ALERT has made me realize the importance of, and challenges in, getting lab-optimized research to work effectively in the “wild” real-world. To this end, I hope to contribute towards bridging this “gap,” enabling and building systems that offer Computer Vision, Machine Learning, and Data Analytics technologies as services to solve a wide variety of real-world problems.