Work with thought leaders and academic experts in ai

Companies can benefit from working with AI academic researchers in various ways. These experts can provide valuable insights and expertise in developing AI solutions, conducting research, and solving complex problems. They can help companies stay ahead of the competition by leveraging cutting-edge AI technologies and techniques. AI researchers can also assist in optimizing business processes, improving efficiency, and reducing costs. Additionally, collaborating with AI researchers can lead to innovation and the development of new products or services. Overall, partnering with AI academic researchers can provide companies with a competitive advantage and help them harness the full potential of AI.

Researchers on NotedSource with backgrounds in ai include Anna Jobin, Krzysztof Wolk, Nik Nikooyan, Ph.D., Dr. Clay Wilson, Ph.D., Yang Cai, Tish Shute (Leichliter), Michal Kruczkowski, Asif Khan, victor gorelik, Shunryu Garvey, Smiljana Antonijevich Ubois, Thomas Bitterman, Ph.D., and Michal Kruczkowski Ph.D..

Krzysztof Wolk

Professor
Most Relevant Research Interests
AI
Other Research Interests (27)
Machine Learning
NLP
Multimedia
Control and Systems Engineering
Artificial Intelligence
And 22 more
About
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 in4.pl, pclab.pl, and e-biotechnologia.pl 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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Nik Nikooyan, Ph.D.

California
Former Senior Research Scientist and University Lecturer with numerous publications on AI/ML, Modeling, and Neuroscience
Most Relevant Research Interests
AI
Other Research Interests (6)
Data Science
Machine Learning
Computational Neuroscience
Computer Science Applications
Computer Vision and Pattern Recognition
And 1 more
About
Nik Nikooyan, Ph.D. is a highly accomplished data scientist with a passion for using data to improve healthcare and quality of life. He holds a Ph.D. in Biomedical Engineering from Delft University of Technology and a Masters in Information & Data Science from University of California, Berkeley. Throughout his career, Nik has focused on the intersection of AI & data science and healthcare. He has conducted extensive research on developing novel algorithms to extract meaningful information from complex data. He has also worked on projects related to medical device design and development, utilizing his expertise in data analysis and machine learning to improve medical technology. In addition to his technical skills, Nik is a skilled communicator and leader. He has published multiple papers in prestigious journals and has presented his work at international conferences. He has also served as lecturer at the California State University where he mentored and supervised students, sharing his knowledge and helping to cultivate the next generation of computer & data scientists. Nik is currently working as a data scientist at a leading consulting company, where he applies his skills to help clients with AI driven solutions to improve the quality of life of others.

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Tish Shute (Leichliter)

AI, Spatial Computing, Simulations, Games, Research & Development, Technology and Strategy
Most Relevant Research Interests
AI
Other Research Interests (3)
Spatial Computing
Pediatrics, Perinatology, and Child Health
Pulmonary and Respiratory Medicine
About
I work at the intersection of design, research, technology, & market to develop innovative products leveraging AI for entertainment, games, robotics, intelligence augmentation, and augmented ecosystems. My work ranges from vision and strategy, to design, prototypes, MVPs, and product. I work with technologies redefining computing, communications & entertainment: AI, DL, ML, LLMs, generative AI, transformers, diffusion models, NeRFs & LERFs, distributed simulations, AR/VR, computer vision, 3D capture, rendering, sensors, photonics, AR/VR eyewear & cloud compute. <br> Recently, I co-developed an open source framework to run interactive intelligent agents for digital twins, simulations, games, & AR/VR, dedicated to making computation more accessible to solve the worlds hardest problems. See https://orbital.foundation/ Currently, I'm focused on generative AI driven simulations. I'm passionate about Cleantech and Life-centered AI and the mission to create a new social collaboration between nature, people, and AI. See https://cognisyn.ai/ As Director of AI/AR/VR, Strategy & Technology Planning, at Futurewei, I was responsible for strategy, planning & development of a full stack of emerging technologies (software & hardware). I developed & communicated strategy & product vision to C-suite executives, recruited teams, seed funded early-stage start-ups, managed PoCs & university partnerships, & worked across research & product teams to take innovations to market. I pioneered work on the grand challenge of taking photonics through a process of miniaturization & integration to enable photons to replace electrons & usher in new era of energy efficient computational abilities. Previously, I worked with Will Wright (Sims, Sim City) at Stupid Fun Club & as Co-Founder at Syntertainment (THRED) developing next generation entertainment & player directed AI agents for reality based simulation games. I've taken a leading role in the emergence of AR/VR & XR into the consumer market. I'm Co-Founder of Augmented World Expo (AWE) https://www.awexr.com/ & I co-founded AugmentedReality.ORG, a global not-for-profit organization dedicated to advancing AR/VR/XR. My career in design & technology began with creating visual effects for film/TV & theme park experiences using robotics. For videos & slides of recent talks see linkedin.com/in/tishshute including: The Future of AI Storytelling.. 2023, Augmented Ecosystems, AWE 2023, EclipseCon 2020, Photonics West 2019, Frontiers in Optics & LS, 2018, CAPE (Center for Advanced Photonics, Cambridge U).

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Example ai projects

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

AI-Powered Customer Support

An AI academic researcher can help a company develop an AI-powered customer support system. This system can use natural language processing and machine learning algorithms to understand customer queries and provide accurate and personalized responses. It can improve response times, enhance customer satisfaction, and reduce the workload on support teams.

Predictive Maintenance

By collaborating with an AI academic researcher, a company can develop a predictive maintenance system. This system can analyze sensor data, detect patterns, and predict equipment failures before they occur. It can help companies avoid costly downtime, optimize maintenance schedules, and increase operational efficiency.

Fraud Detection

An AI academic researcher can assist a company in developing a fraud detection system. This system can analyze large volumes of data, identify suspicious patterns, and flag potential fraudulent activities. It can help companies prevent financial losses, protect customer data, and maintain trust and credibility.

Personalized Marketing

Collaborating with an AI academic researcher can enable a company to create personalized marketing campaigns. By leveraging AI algorithms, companies can analyze customer data, segment audiences, and deliver targeted and relevant content. This can lead to higher conversion rates, increased customer engagement, and improved marketing ROI.

Autonomous Vehicles

AI academic researchers can contribute to the development of autonomous vehicles. They can work on improving perception systems, decision-making algorithms, and safety mechanisms. Collaborating with these experts can help companies accelerate the adoption of autonomous vehicles, enhance road safety, and revolutionize transportation.