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Vikram Narayan is listed as Director, AI for Silicon Systems Design and Verification at Micron Technology, based in San Jose, California, United States. AeroLeads shows a work email signal at micron.com, phone signal with area code 768, and a matched LinkedIn profile for Vikram Narayan.
Vikram Narayan previously worked as Director Of Engineering, Silicon Systems AI at Micron Technology and Head of AI & Perception, ADAS at Visteon Corporation. Vikram Narayan holds Doctor Of Philosophy (Phd), Intelligent Systems from Bielefeld University.
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AeroLeads found 1 current-domain work email signal for Vikram Narayan. Compare company email patterns before reaching out.
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."
Listed skills include Algorithms, Computer Vision, Image Processing, Machine Learning, and 27 others.
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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.
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
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.
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, 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.
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.
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
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.
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.
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.
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Vikram Narayan works for Micron Technology.
Vikram Narayan is listed as Director, AI for Silicon Systems Design and Verification at Micron Technology.
AeroLeads has found 1 work email signal at @micron.com for Vikram Narayan at Micron Technology.
AeroLeads has found 1 phone signal(s) with area code 768 for Vikram Narayan at Micron Technology.
Vikram Narayan is based in San Jose, California, United States while working with Micron Technology.
Vikram Narayan has worked for Micron Technology, Visteon Corporation, Panasonic Automotive, Frankfurt Institute For Advanced Studies, and Hkust.
You can use AeroLeads to view verified contact signals for Vikram Narayan at Micron Technology, including work email, phone, and LinkedIn data when available.
Vikram Narayan holds Doctor Of Philosophy (Phd), Intelligent Systems from Bielefeld University.
Vikram Narayan is listed with skills including Algorithms, Computer Vision, Image Processing, Machine Learning, C++, Matlab, Pattern Recognition, and Data Analysis.
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