Work with thought leaders and academic experts in computer vision

Companies can benefit from working with computer vision experts in various ways. These experts can help develop innovative computer vision solutions to improve product quality, enhance customer experience, and optimize business processes. They can also assist in automating tasks, detecting anomalies, and analyzing large datasets. Additionally, computer vision researchers can provide valuable insights and guidance for implementing cutting-edge technologies and staying ahead of the competition.

Researchers on NotedSource with backgrounds in computer vision include Christos Makridis, Dr. Andrew Raij, Ph.D., Hakob Tamazyan, Suhas Chelian, Pranav Chandramouli, Serena Booth, Dhritiman Das, Ph.D., Mengying Li, kunal saluja, Osaye Fadekemi, PhD, Rajashree Majumder, and Dr. Justin W. Hart, Ph.D..

Christos Makridis

Nashville, TN
Web3 and Labor Economist in Academia, Entrepreneurship, and Policy
Research Expertise (16)
Finance
Economics and Econometrics
Accounting
Pharmacology (medical)
Law
And 11 more
About
Christos A. Makridis holds academic appointments at Columbia Business School, Stanford University, Baylor University, University of Nicosia, and Arizona State University. He is also an adjunct scholar at the Manhattan Institute, senior adviser at Gallup, and senior adviser at the National AI Institute in the Department of Veterans Affairs. Christos is the CEO/co-founder of [Dainamic](https://www.dainamic.ai/), a technology startup working to democratize the use and application of data science and AI techniques for small and mid sized organizations, and CTO/co-founder of [Living Opera](https://www.livingopera.org/), a web3 startup working to bridge classical music and blockchain technologies. Christos previously served on the White House Council of Economic Advisers managing the cybersecurity, technology, and space activities, as a Non-resident Fellow at the Cyber Security Project in the Harvard Kennedy School of Government, as a Digital Fellow at the Initiative at the Digital Economy in the MIT Sloan School of Management, a a Non-resident Research Scientist at Datacamp, and as a Visiting Fellow at the Foundation for Defense of Democracies. Christos’ primary academic research focuses on labor economics, the digital economy, and personal finance and well-being. He has published over 70 peer-reviewed research papers in academic journals and over 170 news articles in the press. Christos earned a Bachelor’s in Economics and Minor in Mathematics at Arizona State University, as well a dual Masters and PhDs in Economics and Management Science & Engineering at Stanford University.

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Dr. Andrew Raij, Ph.D.

Orlando, Florida, United States of America
Principal Research Scientist and Lab Director | VR, AR, MR, XR, Spatial Computing, Immersive Technologies
Most Relevant Research Expertise
Computer Vision
Other Research Expertise (13)
Human-Computer Interaction
Virtual Reality
Augmented Reality
Human Factors and Ergonomics
Artificial Intelligence
And 8 more
About
Dr. Andrew Raij, Ph.D. is a principal researcher at the Charles Stark Draper Laboratory, where he leads research on human-centered computing and virtual / augmented / mixed reality. For over 20 years, Dr. Raij has been helping companies unlock the transformative power of immersive technologies through **rigorous user research, strategic guidance, and creative problem-solving**. With a deep understanding of human behavior in immersive environments, he bridges the gap between cutting-edge technology and real-world needs. His career began in academia, where he was an Assistant Professor and Director of the Powerful Interactive Experiences (PIE) Lab at the University of South Florida. Later, he joined Universal Creative, where he applied his expertise to the challenge of using immersive, wearable technologies in the theme park environment. At Draper Labs, his research focuses on applying immersive technologies to training and situational awareness. Dr. Raij earned his Ph.D. in the Department of Computer & Information Science & Engineering from the University of Florida in 2009. Prior to this, he completed his M.S. in Computer Science at the University of North Carolina at Chapel Hill in 2003 and his B.S. in Computer Science at Northwestern University in 2001.

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Dhritiman Das, Ph.D.

Postdoctoral Researcher at Massachusetts Institute of Technology : AI | Computer Vision | Signal Processing | Healthcare
Most Relevant Research Expertise
Computer Vision
Other Research Expertise (14)
Machine Learning
Medical Image Analysis
Signal Processing
Electronic, Optical and Magnetic Materials
Condensed Matter Physics
And 9 more
About
Dhritiman Das is a highly accomplished computer scientist with a strong background in bioengineering. He holds a Ph.D. in Computer Science from the Technical University of Munich, where he focused on developing innovative machine learning algorithms for medical imaging applications. More specifically, he developed applied machine learning and computer vision tools for accelerated processing and analysis of large-scale brain imaging (MRSI) data. Prior to his doctoral studies, Dhritiman earned a Master of Science in Bioengineering from Arizona State University and a Bachelor of Engineering in Biomedical Engineering from Manipal Institute of Technology. Throughout his academic career, Dhritiman has demonstrated a strong passion for research and has published several papers in top computer science and biomedical engineering journals. He has also presented his work at numerous international conferences and workshops, gaining recognition from the scientific community. In addition to his academic achievements, Dhritiman has gained valuable industry experience through various internships and research positions. He has worked as a Postdoctoral Researcher at the Massachusetts Institute of Technology, where he collaborated with leading researchers to develop cutting-edge technologies for healthcare applications. His work here focused on self-supervised learning, generative models and neuroinformatics. He has also held positions at GE Healthcare and Siemens Limited, where he applied his expertise in information theory, computer vision and machine learning to solve real-world challenges in the field of medical imaging. Dhritiman is a skilled researcher and problem-solver with a strong background in both computer science and bioengineering. He is dedicated to using his knowledge and expertise to make a positive impact in the field of healthcare and beyond.

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Example computer vision projects

How can companies collaborate more effectively with researchers, experts, and thought leaders to make progress on computer vision?

Automated Quality Control

A computer vision expert can develop a system that automatically inspects products on the production line, ensuring consistent quality and reducing defects.

Augmented Reality Applications

Collaborating with a computer vision researcher can lead to the creation of immersive augmented reality applications that enhance user experiences and drive customer engagement.

Object Recognition and Tracking

By working with a computer vision specialist, companies can improve their object recognition and tracking capabilities, enabling them to automate inventory management, optimize logistics, and enhance security systems.

Medical Imaging Analysis

Computer vision experts can contribute to the development of advanced medical imaging analysis tools, enabling more accurate diagnoses, personalized treatments, and improved patient outcomes.

Autonomous Vehicles

Collaborating with a computer vision researcher can help companies advance their autonomous vehicle technologies, leading to safer and more efficient transportation solutions.