Work with thought leaders and academic experts in Computer Vision and Pattern Recognition

Companies can greatly benefit from working with experts in Computer Vision and Pattern Recognition. These professionals can help enhance image and video analysis, develop advanced surveillance systems, improve object recognition and tracking, automate quality control processes, enable facial recognition technology, and optimize augmented reality experiences. By collaborating with academic researchers in this field, companies can leverage cutting-edge technology, gain valuable insights, and stay ahead of the competition.

Researchers on NotedSource with backgrounds in Computer Vision and Pattern Recognition include Jerry Schnepp, Ph.D., Vladimir Shapiro, Ph.D., Emmanuel Iarussi, Hector Klie, Vivek Singh, Suhang Wang, Dr. Justin W. Hart, Ph.D., Hussein Al-Hussein, Denys Dutykh, Anna Jobin, Krzysztof Wolk, Dr. Haikun Huang, Ph.D., and Ayse Oktay.

Vivek Singh

Rutgers Professor, MIT alum, CS PhD, AI expert
Most Relevant Research Expertise
Computer Vision and Pattern Recognition
Other Research Expertise (25)
Human-centered Data Science
Human-centered AI
Computational Social Science
Behavioral Informatics
Algorithmic Fairness
And 20 more
Vivek Singh is a highly accomplished computer scientist and researcher. He earned his Ph.D. in Information and Computer Science from the University of California Irvine in 2012. During his time at UC Irvine, he focused on research in the areas of natural language processing and machine learning. After completing his Ph.D., Singh joined Massachusetts Institute of Technology as a post-doctoral associate, where he worked on developing algorithms for large-scale data analysis and information retrieval. In 2014, Singh joined Rutgers University as a faculty member in Information Science and Computer Science. As a faculty member at Rutgers, he has published numerous papers in top computer science journals and conferences and has received several grants for his research. Singh's research interests include natural language processing, generative AI, and social computing. He has a particular interest in developing algorithms for analyzing large datasets and extracting valuable insights from them. His work has been applied to various domains, including social media, healthcare, and finance. He has multiple patents, and has experience consulting with early and late-stage (unicorn) startups. His work has led to multiple grants, awards, funding, patents, and deployed products.

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Krzysztof Wolk

Most Relevant Research Expertise
Computer Vision and Pattern Recognition
Other Research Expertise (28)
Machine Learning
Control and Systems Engineering
And 23 more
I hold a PhD Eng. degree in computer science. I am a graduate of the Polish-Japanese Academy of Information Technology in Warsaw, POLAND. Currently, I am associate professor at the Cathedral of Multimedia at the same university. I lead and conduct scientific projects and research related to natural language processing and machine learning based on statistical methods and neural networks. I eagerly take up IT challenges and engage in interesting interdisciplinary projects, in particular related to HCI, UX, medicine, and psychology. In addition, as my profession, I have worked as a lecturer at the Warsaw School of Photography, and as an IT trainer. My specialties as a teacher are primarily deep learning, machine learning, natural language processing, computational linguistics, multimedia, HCI, UX, mobile applications, HTML 5, Adobe applications, and server products from Apple and Microsoft. As far as my didactic work is concerned, I lead classroom studies at the faculty of computer science and at the new media art department of the Polish-Japanese Academy of Information Technology and, in the past, I have also directed classes and lectures at the Warsaw School of Photography & Graphic Design. I am also an expert at the Polish National Agency for Academic Exchange, a member of the Polish Information Processing Society, and a member of the Polish Telemedicine and eHealth Society with Bene Meritus honor. Finally, I am a certified Microsoft, Apple, Adobe, w3schools, and EITCA specialist as well as being the Author of many scientific monographs and specialized IT books related to machine learning, administration of servers, and multimedia. I also engage as an editor of various specialized IT web portals such as,, and where I am author of training materials, guides, and hardware reviews. Some of my articles have also been published in iCoder Magazine and Komputer Świat magazine.

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Dr. Haikun Huang, Ph.D.

Chief Technology Officer at Great Victory Legends
Most Relevant Research Expertise
Computer Vision and Pattern Recognition
Other Research Expertise (26)
Computational Design
Cognitive Science.
And 21 more
Dr. Haikun Huang holds a Ph.D. in Computer Science from UMass Boston and is a postdoctoral research fellow at George Mason University. His graduation thesis was titled AI-driven Computational Design Tools For Synthesizing Human-centric Design and won the Umass Boston year's graduate program award. With a strong background in AR/VR/MR, computational design, graphics, HCI, and vision, he is passionate about applying artificial intelligence techniques to create innovative 3D content creation tools and virtual experiences.   Dr. Huang has published his research in prestigious conferences such as IEEE VR and ACM CHI, and his work has been recognized with a Best Paper Honorable Mention Award at CHI 2019. He is also an active reviewer for IEEE VR and CHI, contributing to advancing these fields. From 2017 to 2023, he has successfully published 21 papers, which have been cited more than 470 times. In the first half of 2023 alone, it was cited more than 180 times. At the same time, his h-index is 12, and i10-index is 15.   In addition to his academic achievements, he has years of industry experience, particularly in the game development sector. He has also been a columnist for popular game development forums in China, where he shared his expertise and insights with fellow developers.   He has also served as a teaching assistant for various computer science courses, including Computer Games Programming, Computer Vision, Programming in C, and (Computer Architecture and Organization at UMB. These experiences have allowed him to hone his teaching skills and effectively communicate complex concepts to students.   As a co-founder and CTO of Great Victory Legends, he gained valuable experience leading technical teams and developing cutting-edge solutions. He is confident in bringing this expertise into the classroom and providing students with a comprehensive understanding of the subject matter.   He also runs his studio as a freelance and sells the tools on Unity Asset Store. The tools he develops are all about practical tools to improve development efficiency. UPython 3 Pro is his masterpiece. It provides real-time communication between Unity and Python. It was used in the research projects he was involved in. AR/VR researchers deeply love it.

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Example Computer Vision and Pattern Recognition projects

How can companies collaborate more effectively with researchers, experts, and thought leaders to make progress on Computer Vision and Pattern Recognition?

Enhancing Image and Video Analysis

An academic researcher in Computer Vision and Pattern Recognition can help companies improve their image and video analysis capabilities. By developing advanced algorithms and techniques, they can enhance object detection, segmentation, and classification, enabling more accurate and efficient analysis of visual data.

Developing Advanced Surveillance Systems

Collaborating with an expert in Computer Vision and Pattern Recognition can enable companies to develop advanced surveillance systems. These systems can utilize computer vision algorithms to detect and track objects, identify suspicious activities, and enhance security measures.

Improving Object Recognition and Tracking

Companies can benefit from the expertise of a researcher in Computer Vision and Pattern Recognition to improve their object recognition and tracking capabilities. By developing robust algorithms and models, they can accurately identify and track objects in real-time, enabling applications in autonomous vehicles, robotics, and more.

Automating Quality Control Processes

Academic researchers in Computer Vision and Pattern Recognition can help companies automate their quality control processes. By developing computer vision systems that can detect defects, anomalies, and inconsistencies in manufacturing processes, companies can improve efficiency, reduce errors, and ensure product quality.

Enabling Facial Recognition Technology

Collaborating with an expert in Computer Vision and Pattern Recognition can enable companies to leverage facial recognition technology. This can have applications in various industries, such as security, retail, and healthcare, allowing for personalized experiences, enhanced security measures, and improved customer service.

Optimizing Augmented Reality Experiences

Companies can benefit from the expertise of academic researchers in Computer Vision and Pattern Recognition to optimize their augmented reality (AR) experiences. By developing computer vision algorithms that accurately track and overlay virtual objects onto the real world, companies can create immersive and realistic AR applications.