
About
I am a researcher working at the Samsung Postech Intelligent Media Research Centre in South Korea. In my research at the Intelligent Media Research Centre, I develop deep learning algorithms for visual microphone and visual vibrometry techniques based on image and signal processing. I am affiliated to POSTECH, Pohang University of Science and Technology, South Korea and Samsung R&D.
To put it simply, I develop intelligent data driven models such that the resulting algorithm can understand imperceptible motions (invisible to a human eye) from just a video. This motion signal is visible to the computer as the algorithm magnifies the natural movement in every pixel of the video content. It then can be used in two ways a)retrieve sound (aka visible sound) from that motion as done by MIT CSAIL -VISUAL MICROPHONE b) analyse the movement of structures to make behavioral predictions of such structures during calamities.
Also, in my previous work, I have worked on an evolutionary learning algorithm based on biological plant intelligence to solve optimization problems. The algorithm is interesting as it is motivated from something separate from neural nets and the concept of a human brain. It is based on the intelligence of biological plants in non-stationary environments that follows the universal Fibonacci series and Golden Ratio. The developed evolutionary machine learning algorithm was applied to medical imaging and terrestrial image processing problems.
During this time, I was a machine learning researcher at Connected Computing and Media Processing Lab, Kyungpook National University, South Korea.I have completed my MS in Artificial Intelligence from Kyungpook National University, specializing in optimization and evolutionary machine learning. My supervisor was Prof. Anand Paul. A core part of my MS was working in collaboration with the National Research Foundation and the Brain Korea 21 Plus Program, funded by the Ministry of Education, South Korea and the IITP International Industry Convergence Project, Daegu South Korea.
I am passionate about learning, teaching and sharing my ideas about artificial intelligence and machine learning, both from an academic and industrial standpoint.
Before MS, I worked for Teach for India and EduCare (a non-profit initiative for teaching children and empowering girls). I was based in Bangalore, India at the time of my outreach programs with Centre for Social Action which I undertook during my undergrad degree (B.Tech) from Christ University, India. Until recently, I am actively supporting and volunteering as a mentor at India STEM Foundation where I host workshops and mentor teams for International Robotics Olympiad.
News
I am honoured to take part in the podcast Solving an Optimization Problem with a Custom Built Algorithm at SuperdataScience, March 2017 in Australia.
Publications
Image Analysis using a novel learning algorithm based on Plant Intelligence
An Immersive Learning Model Using Evolutionary Learning
A Leukocyte Detection technique in Blood Smear Images using Plant Growth Simulation Algorithm
A Hybrid Search Optimization Technique Based on Evolutionary Learning in Plants
An object localization optimization technique in medical images using plant growth simulation algorithm
Autonomous Terrestrial Image Segmentation and Sensor Node Localization for Disaster Management using Plant Growth Simulation Algorithm
Evolutionary Reinforcement Learning based Search Optimization
Adaptive Transcursive Algorithm for Depth Estimation in Deep Learning Networks
Talks
- Invited Speaker about Future Trends in Deep Learning, at International Conference on Data Science and Big Data Analytics, on May 24-25, 2018 in Toronto, Canada
- Poster Presentation at WiML (Women in Machine Learning) workshop, Long Beach, California, USA, 2017
- Advances in Deep Learning, CiTE, Samsung Intelligent Media Research Centre,Postech, South Korea, 2017
- Oral presentation at AAAI about Plant Intelligence and how it can be used to optimize Machine Learning, San Francisco, USA, 2017
- Oral presentation at ICSI, Bali, Indonesia, 2016
- Oral presentation and poster presentation at ACM SAC, Italy, 2016
- Talk at Platcon, Jeju, South Korea, 2017
- Departmental Talk on Vision, Deep Learning and Optimization, Kyungpook National University 2016
- Oral presentation at Computer Science and Engineering department, Kyungpook National University, 2015
- Oral presentation at the project grant proposal meetings, Daegu, South Korea, 2015-2017

Academic Service
Reviewer of Machine Learning, Signal Processing and IoT journals and conferences:
- Reviewer of Women in Machine Learning (2017)
- Reviewer of IEEE Transactions on Signal and Information Processing (top journal in Machine Learning and Signal Processing) [invited]
- Reviewer of Elsevier Computers And Electrical Engineering
- Reviewer of ACM Transactions on Embedded Computing Systems
- Reviewer of IEEE Intelligent Transport Systems [invited]
- Reviewer of Thomas and Francis Behaviour and Information Technology
- Reviewer for Springer Plus Journal
- Reviewer of IEEE Transactions on Emerging Topics in Computing
- Reviewer of MDPI Sensors
- Reviewer of IEEE ICIT (International Conference on Industrial Technology) [invited]
- Reviewer of Springer Cluster Computing- The Journal of Networks, Software Tools and Applications
- Reviewer of ACM SAC 2016, 2017
Member of organizations:
- Member of Association for the Advancement of Artificial Intelligence (AAAI)
- Member of International Machine Learning Society (IMLS)
- Member of Computer Society of India
- Member of Association for Computing Machinery
Certificates
- TensorFlow BootCamp 2017 (Online)
- Computer Vision A-Z: superdatascience.com 2017 (Online)
- Deep Learning A-Z: superdatascience.com 2017 (Online)
- Artificial Intelligence A-Z: superdatascience.com 2017 (Online)
- Machine Learning A-Z: superdatascience.com 2016 (Online)
- Microsoft Student Program: Hackathon via Microsoft 2015 (Christ University Campus)
- R Programming and Data Analysis, Johns Hopkins University, USA via coursera.org 2014 (Online)
- SAP HANA Cloud Platform (Advanced) via openSAP 2014 (Online)
- MAS.S69x: Big Data and Social Physics, MIT, USA via edX.org 2014 (Online)
- CS 6.001: Certificate in Introduction to computer Science and Programming using Python, MIT, USA via edX.org 2014 (Online)
- SAP 1.0 Certification, from Christ University and Waldorf, Germany 2013. (Christ University Campus)
- Stat 2.3X: Introduction to Statistics: Inference. University of California, Berkeley via edX.org 2013(Online)
- CS169: Software as a Service. University of California, Berkeley, USA via edX.org 2013 (Online)
- Stat 2.2 X: Introduction to Statistics: Probability. University of California, Berkeley via edX.org2013 (Online)
Awards
- Women in Machine Learning (WIML) Grant, 2017
- ACM SAC SRC best student paper nomination -top 5 globally, 2016
- ACM SIGAPP Travel Award, Italy, 2016
- KNU International Student Ambassador 2017- present
- Brain Korea 21 Plus grant for research, Kyungpook National University, awarded to top 1% of the applicants in Department of Computer Science Engineering 2015-2017
- Awarded full merit scholarship by Kyungpook National University, 2015-2017 (4 Semesters)
- Christ University Merit Scholarship - all 8 semesters, 2011-2015. Dean's List
- MS Artificial Intelligence, Offer of Study, from New York University, 2015
- MBA Business Analytics, Offer of Study, from University of Tampa, Florida, USA, 2015
- BS Computer Science Engineering (transfer), Offer of Study, from University of Rochester, USA 2013
- Best Overall Performer of the Year 2012 of all undergraduate and postgraduate students, Christ University
- Runner-up International Science Debate Competition by Quanta, November 2009
- Won Gold medal and ranked 1st in National Cyber Olympiad in India, 2005
- Awarded Distinction in Macmillan International Assessment, University of New South Wales, Australia, 2004-2006

Outreach
-
September 2017
Sponsored and Mentored a team of middle school children for the First Lego League in India. Click to know more.
June, 2017
Volunteered as a Mentor at the Robo Siksha Kendra (the Non-profit Robotics school of India STEM Foundation) event for encouraging kids specially girls in STEM and AI Click to know more
May, 2017
Organized a preparation workshop on Computer Science for International Robotics Competition at India STEM Foundation. Attended by 350 children aged between 6-12 years. Mentored an all-girls team for the International Robotics Competition.
Works in Progress
- Deep Neural Networks in Visual Vibrometry: Estimating Material Properties from Small Motions in Video, Samsung Postech Intelligent Media Research Center and MIT Link
- Extending the work of Abe Davis at MIT CSAIL - The Visual Microphone: Passive Recovery of Sound from Video at Samsung Postech Intelligent Media Research Center
- Refining the Plant Intelligence Learning Algorithm Link