Vikram Narayan

Vikram Narayan Email and Phone Number

Director, AI for Silicon Systems Design and Verification @ Micron Technology
Vikram Narayan's Location
San Jose, California, United States, United States
Vikram Narayan's Contact Details
About Vikram Narayan

Vikram Narayan is a Director, AI for Silicon Systems Design and Verification at Micron Technology. He possess expertise in algorithms, computer vision, image processing, machine learning, c++ and 26 more skills. He is proficient in French and English. Colleagues describe him as "Vikram has great vision and capabilities for software development. He is focused and keeps everything moving smoothly. He is conscientious about the deadlines making sure they are met. He is very professional, creative and sets the highest standards for his work.", "Vikram is one of the most prolific thought leaders who can break AI into applicable business use cases. His subject matter expertise in computer vision and domain expertise in ADAS is a formidable combination. What impresses me about him is his fearless can-do attitude and open mind to listen to new ideas. Quite often he navigates into first principles and finds his way through teamwork and partner eco-system to develop groundbreaking solutions. His knowledge of deep learning CV frameworks, C++ and various niche package solutions is truly remarkable.", and "Vikram Narayan was Member of our Algorithm Team since beginning of ADAS Department. It was a pleasure to work with him over last years. The best comment I ever can give to s.o. who worked with me, is, that I miss him on my side and would always like to have him there. From that point of view, it might be not consequent to write any recommendation for him. But I would like to see him growing much upon the horizon, I can offer to him. I can recomment Vikram to anyone who is searching for an automotive Image Processing and Object Recognition Expert leader, but not limited to that. I wish him all the best for his professional career."

Vikram Narayan's Current Company Details
Micron Technology

Micron Technology

View
Director, AI for Silicon Systems Design and Verification
Vikram Narayan Work Experience Details
  • Micron Technology
    Director Of Engineering, Silicon Systems Ai
    Micron Technology Aug 2021 - Present
    Boise, Idaho, Us
    I am responsible for building new AI enabled paradigms for SoC Design Verification and Design Space Exploration at Micron. Constantly looking to connect with bright individuals who are interested to contribute in this space. Please feel free to reach out to me if you are interested to learn more about the opportunities within my group.
  • Visteon Corporation
    Head Of Ai & Perception, Adas
    Visteon Corporation Dec 2019 - Aug 2021
    Van Buren Township, Mi, Us
    I built the Computer Vision and AI capability for the ADAS program at Visteon. Started as employee number one of the computer vision group, I expanded that to a team of close to twenty engineers over period of 18 months. Some of my major contributions are: (a) Evaluated multiple SoCs over several months which enabled Level 2+ driving, and this led to selection of the target SoC which was used to the A-Sample of the DriveCore ADAS ECU(b) Gained extensive understand through evaluation of various camera, LiDAR, Imaging RADAR and USS sensors in the market(c) Built a sensor fusion stack which enabled hands free driving on Freeways, and was tested for more than 10K miles. (d) Several IEEE whitepapers and patent applications related to Camera Self Calibration, Camera and LiDAR based Lane Detection came out of my group
  • Visteon Corporation
    Head Of Ai & Computer Vision, Adas
    Visteon Corporation Jan 2019 - Dec 2019
    Van Buren Township, Mi, Us
  • Visteon Corporation
    Head Of Computer Vision, Adas
    Visteon Corporation Aug 2018 - Dec 2018
    Van Buren Township, Mi, Us
  • Visteon Corporation
    Head Of Computer Vision, Adas
    Visteon Corporation Dec 2016 - Aug 2018
    Van Buren Township, Mi, Us
  • Panasonic Automotive
    Senior Algorithm Developer
    Panasonic Automotive Apr 2016 - Nov 2016
    Peachtree City, Georgia, Us
    I worked on camera based door open warning assistance system using the side Fish Eye cameras. This was a feature which premium OEM brands were asking in the market.
  • Panasonic Automotive
    Algorithm Developer, Adas R&D
    Panasonic Automotive Jun 2015 - Mar 2016
    Peachtree City, Georgia, Us
    I started working on Camera based Side Mirror replacement project. Within the first six months of this project it was successfully demonstrated to Daimler. I had the opportunity to architect the entire PoC on demo car including both Camera HW, Internal display HW and the implemented SW. I personally wrote the vehicle detection SW which interfaced through a Car PC to the external camera systems, which demonstrated blindspot monitoring.
  • Frankfurt Institute For Advanced Studies
    Postdoctoral Researcher
    Frankfurt Institute For Advanced Studies Jan 2014 - Jun 2015
    Frankfurt, Hessen, De
    I am currently working on a very exciting and interdisciplinary work which invloves the modeling of emergent vision through efficient coding hypothesis. This research is blend of reinforcement learning and information theory as applied in a humanoid robotic setting. One can observe the autonomous emergence of vergence and tracking behavior in binocular vision when the scene is encoded using efficient coding hypothesis.
  • Hkust
    Visiting Research Scientist
    Hkust May 2014 - May 2014
    Kowloon, Hong Kong, Hk
    Discussion and collaboration for the on going project on binocular vision at FIAS. Prof. Bertram Shi was my host at HKUST.
  • University Of Bielefeld
    Marie Curie Researcher
    University Of Bielefeld Apr 2010 - Mar 2013
    Bielefeld, Nordrhein-Westfalen, De
    As a Marie Curie Reseacher, I was responsible for developing computational models of visual attention primarily for their application in robotics. The three saliency models that I developed in the CoR lab has been well accepted in the robotics community. Stochastic algorithms were used to model visual saliency, which were parameter free and agnostic to the size of the input image. This helped achieve state-of-the-art performance on automatically predicting human eye-gaze and detecting salient regions concurrently which had not been achieved so far. In addition, I was also involved in teaching Masters students, organizing international conferences and summer schools. My supervision during this period was under Prof. Britta Wrede, Dr. Marko TScherepanow and Dr. Agnes Swadzba
  • University Of Skövde
    Visiting Scientist
    University Of Skövde Jun 2012 - Jul 2012
    Skövde, Se
    This visit was in continuation with my research at CoR Lab. During my stay at Skövde, I investigated dynamical field theory for modeling visual attention. My supervision was under Prof. Tom Ziemke and Prof. Robert Lowe.
  • Université De Caen Basse-Normandie
    Research Engineer
    Université De Caen Basse-Normandie Sep 2008 - Feb 2010
    Caen, Normandie, Fr
    In this role (as a one person team) I delivered C++ libraries for Object Detection in infrared images. The software was based on the existing state-of-the-art in 2008 for object detection. In the course of developing this software, I carried out extensive literature review and validated the algorithms on PASCAL VOC Image dataset. The experiements were carried out on a a cluster of fifty machines, and resulted in a detailed report documenting the strengths and shortcomings of the underlying algorithm.
  • University Of Mysore
    Research Assistant
    University Of Mysore Aug 2006 - May 2008
    I was involved in publishing several research papers on biometrics and object recognition during my tenure as a research assistant. During this time, I also contributed to open source projects (Matlab based) and they are being used to this date. In addition to research, I was also involved in organizing conferences, workshops and teaching Masters students at the Faculty of Technology.

Vikram Narayan Skills

Algorithms Computer Vision Image Processing Machine Learning C++ Matlab Pattern Recognition Data Analysis Latex Python Artificial Intelligence Robotics Science Data Mining Signal Processing Cognitive Robotics Biometrics C Biochemistry Molecular Biology Protein Chemistry Cell Culture Life Sciences Cell Biology Molecular Cloning Research Lifesciences Genetics Proteomics Protein Protein Interactions Confocal Microscopy

Vikram Narayan Education Details

  • Bielefeld University
    Bielefeld University
    Intelligent Systems
  • University Of Mysore
    University Of Mysore
    Computer Application
  • University Of Mysore
    University Of Mysore
    Mathematics And Computer Science

Frequently Asked Questions about Vikram Narayan

What company does Vikram Narayan work for?

Vikram Narayan works for Micron Technology

What is Vikram Narayan's role at the current company?

Vikram Narayan's current role is Director, AI for Silicon Systems Design and Verification.

What is Vikram Narayan's email address?

Vikram Narayan's email address is tn****@****ail.com

What is Vikram Narayan's direct phone number?

Vikram Narayan's direct phone number is +49176874*****

What schools did Vikram Narayan attend?

Vikram Narayan attended Bielefeld University, University Of Mysore, University Of Mysore.

What are some of Vikram Narayan's interests?

Vikram Narayan has interest in Coursera.

What skills is Vikram Narayan known for?

Vikram Narayan has skills like Algorithms, Computer Vision, Image Processing, Machine Learning, C++, Matlab, Pattern Recognition, Data Analysis, Latex, Python, Artificial Intelligence, Robotics.

Free Chrome Extension

Find emails, phones & company data instantly

Find verified emails from LinkedIn profiles
Get direct phone numbers & mobile contacts
Access company data & employee information
Works directly on LinkedIn - no copy/paste needed
Get Chrome Extension - Free

Aero Online

Your AI prospecting assistant

Download 750 million emails and 100 million phone numbers

Access emails and phone numbers of over 750 million business users. Instantly download verified profiles using 20+ filters, including location, job title, company, function, and industry.