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Joy Prabhakaran
Video Technology Consultant @ Tata Elxsi. Research - Novel image pre-processing for improved computer vision.
Joy Prabhakaran is a highly experienced researcher and consultant specializing in Image and Video Technologies.1 With over three decades of work experience, he has established himself as a versatile professional in various industries.
Educational Background
Joy Prabhakaran holds a Doctor of Philosophy in Image and Video Processing from the International Institute of Information Technology - Bangalore. His earlier education includes:
- B.Tech in E&ECE from the Indian Institute of Technology, Kharagpur
- MS in EE from Michigan Technological University
- SSLC from Space Central School
Professional Experience
Throughout his career, Joy Prabhakaran has held several notable positions:
- Video Technology Consultant at Tata Elxsi
- Founder of Recoplace, a platform for home remedies recommendations
- VP-Engineering at Sourcebits LLC
- Engineering Manager at Celstream Technologies
- Fellow at Honeywell
- Consultant at organizations like Yahoo, Wipro, TCS, and IIIT-Bangalore
- Former professor at KSIT and visiting professor at IIIT-Bangalore
- Guest Lecturer at College of Engineering - Trivandrum
Research Focus
Prabhakaran's research primarily revolves around improving computer vision through novel image pre-processing techniques. His current work focuses on:
- Enhancing the quality of retinal images of premature babies
- Developing an improved edge detection method
- Improving the detection of Retinopathy of Prematurity (ROP) for remote diagnostics
His method is currently undergoing clinical trials in two hospitals.
Areas of Expertise
Joy Prabhakaran's expertise spans various aspects of image and video technology, including:
- Image Enhancement
- Computer Vision
- Pattern Recognition
- Digital Image Processing
- Video Technologies
- Analytics using video and images12
As a self-employed researcher and consultant, Joy Prabhakaran continues to work on cutting-edge problems in image and video technologies, with a focus on codecs, studio systems, and internet video.3
Highlights
Gracias Amigo.
What an amazing professional you have been! Saludo!!
At 57, this felt like the end of my childhood. Weird!
But then, I watched 13 minutes of incomprehensible but intense Spanish without taking my eyes off. So, maybe, not so weird 😀
AI – When did the mother of all brute force become cool?
All these gadzillion-parameter neural-nets and the wonderful results they produce, bemuses me. For all my professional life (and most of my student life), I believed in simple and elegant solutions. And now this??? Sheeshh.
Digest a trillion images to recognize if something is a cat or a not-cat? Come on.
Proud that we don’t know what goes on in the (artificial) neural net? Give me a break!
And yes, here is the cake. If the results are not right, change the data. Cute!
I do realize I am on the losing side of this debate. But then, what the heck!!!
