Thanks for visiting my website.

I am Naveen Venkat, a final year student pursuing B.E (Hons.) (Bachelor of Engineering with Honors) in Computer Science at BITS Pilani (an Institute of Eminence in India). Currently, I am pursuing my Undergraduate Thesis under the guidance of Dr. Venkatesh Babu at Video Analytics Lab, IISc Bangalore.

A brief about my work

While doing my major in Computer Science, I pursued Graphic Designing as a hobby. As much as I liked flowing my creativity through digital artworks, my study in theoretical computer science elevated my curiosity to know if I could inculcate this creativity into a computer. I took courses in the field of AI that could help me understand how a computer could interact with the real world and learn to think intelligently. Working on a variety of problems in AI helped me understand the complexity of such a machine, leaving me even more curious to study the field.

Over the years I have worked with professors and scientists in India, on various domains in Artificial Intelligence and Deep Learning methods. During summer 2018 at Samsung Research, I worked on Intimacy Estimation for a Social Robo, under Dr. Pinaki Bhaskar, involving the analysis of human behavior through vision and natural language understanding. Last summer (2017), I had worked at CSIR-CEERI Chennai, on the Driver Fatigue Detection project under Dr. Bala Pesala (Principal Scientist), where I developed a heart rate monitoring wearable based on Bluno Beetle. I have worked under Dr. Dhiraj Sangwan (Scientist, CEERI Pilani), on Threat Detection in Baggages using deep learning. I was also the youngest student to work on Deep Learning for Brain Computer Interfaces at my University, under Prof. Vandana Agarwal (Asst. Prof., BITS Pilani), where I proposed an LSTM & Band Power Estimation based neural network architecture that was more robust to noise in detecting mental confusion in a student watching MOOC videos. Later, under the guidance of Prof. Santanu Chaudhury (previously Director, CSIR-CEERI & now Director, IIT Jodhpur) I worked on Real-time Face Spoof Detection in RGB cameras using Deep Learning. These experiences equipped me to lead the AI Subsystem of Sally Robotics – BITS Pilani’s first Driverless Car Research Group. For details, here’s my work experience and the projects I’ve worked in the past.

Other Interests

When I’m not working, I usually find myself practicing Carnatic Vocal Music and playing the Venu (Carnatic Flute). I’m a huge fan of Sandbox & Open world games (especially Minecraft!).

Long-term Vision

Recent advancements in AI have brought significant developments to various fields and I wish to contribute to this wave. In the long run, I want to work on various problems over several disciplines that can help make discoveries & advance the field of AI in this direction. Here’s a naive but a positive note:

Creativity is something that nature has designed into us. Designing it on a computer is all that is required.

Have a nice day!


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