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 (Director, CEERI & Prof., IIT Delhi) 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.
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!