Work with thought leaders and academic experts in computer vision

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.

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.

I have machine learning and deep learning professional experience with over 6 years of experience, focusing mainly on computer vision and the development of cutting-edge technology. I have worked on numerous computer vision and generative AI related projects focusing on creating efficient and high-quality models with various architectures. I am in the final stages of completing my Ph.D. program in computer science. Throughout my academic and professional journey, I have been recognized for achievements in international mathematical and programming competitions.

Team lead in machine learning, neuroscience. <br> I have captured and executed projects for DARPA, NASA, and several international clients (GM, Toyota, Fujitsu). \* 12 projects transitioned--$10M revenue captured (31+ publications, 32+ patents) \* 9 awards including those from NASA, GM, and HRL Laboratories \* I also have startup, contracting and consulting experience \* US citizen (authorized to work) <br> Last updated: Aug 30, 2023

I am an M.S. student specializing in Computer Vision for Remote Sensing for Wildlife Conservation. I am passionate about leveraging CV, Perception, and DL to build products and solutions that improve the world around us. I am a self-starter and collaborative problem-solver with a strong work ethic. Beyond technology, I spend my time on photography, bird watching, or in the great outdoors.

Serena Booth is a research scientist at the Massachusetts Institute of Technology. She received her Ph.D. in robotics from MIT in 2024 and her BS in computer science from Harvard University in 2016. Her research focuses on developing new methods for robotic control and learning.

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.

Mengying Li is an Assistant Professor at The Hong Kong Polytechnic University. She received her Ph.D. in Mechanical Engineering from University of California, San Diego in 2018. Her research interests include predictive modeling, design optimization, and machine learning. She is also an expert in passive cooling devices.

I'm a computer vision researcher with experience in object detection, segmentation, tracking, pose estimation, and 3D reconstruction. In the last decade, I've built computer vision products for multiple industry sectors including self-driving, robotics, AR/VR & Ad-tech.

Dr Fadekemi Janet Osaye is a mathematician whose primary research interest is in graph theory and network modeling. In particular, she is interested in distance measures in graphs and their applications to solving many real-world problems. Her interest in discrete mathematics was inspired by her research project carried out at AIMS Ghana. She has published several articles in reputable journals and has presented in several conferences across the globe. In 2019, she became the first black female to be awarded a PhD in Mathematics by the University of Johannesburg, South Africa, in its 116 years of its existence. Since June 2021, she has been an Assistant Professor of Mathematics at Alabama State University and was previously a Visiting Assistant Professor at Auburn University. She is the founder of GirlsMatics Foundation, a STEM non-governmental organisation for girls in Nigeria which was motivated by her involvement with AIMS Ghana’s outreach programs for high school students in Biriwa, Ghana. She is also the co-founder of FadNna Partners, an analytics and management firm based in Lagos, Nigeria.

Rajashree Majumder is an accomplished computer scientist and engineer, with a strong passion for research and innovation. She was born and raised in Bangladesh and developed an early interest in technology and computer science. During her time as a undergraduate student, she excelled in her coursework and was actively involved in various research projects.She also presented her work at several conferences and published papers. After completing her bachelor's degree in Computer Science from a prestigious university in Bangladesh, Rajashree pursued her master's degree in Computer Science from Ohio University. After completing her master's degree, Rajashree continued her academic journey and is currently persuing a Ph.D. in Electrical Engineering and Computer Science from Ohio University. Her research focused on fine-tuning LLM's for document analysis tasks.

My research focuses on expanding the places where robots can be deployed. My lab, the Living with Robots Laboratory, has the mission of seeing robots in every home and workplace. To that end, I work on technologies to enable robots to operate in places designed for people, and technologies to enable robots to better interact with people. I am on the executive committee for RoboCup@Home. I am an assistant director of the UT Austin robotics research consortium, Texas Robotics. I am an associate editor for top conferences and journals in robotics. I work on problems relating to autonomous social human robot interaction, artificial intelligence, and robotics architectures.