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.

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.

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.

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.

Experienced academic and researcher specializing in data science and computer vision, with a proven track record in academia and industry. Proficient in Computer Vision, Machine Learning, and Image Processing, with published many works recognized by over 1000 citations in peer-reviewed publications. Proven ability to collaborate effectively within multidisciplinary teams to tackle complex problems and deliver innovative solutions.  Advocate for teamwork, effective communication, and mentorship.

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.

Postdoctoral Researcher at the Massachusetts Institute of Technology and freelance machine-learning consultant for startups. Strong background in Deep Learning, Computer Vision, Signal Processing and Neuroinformatics. My work has involved building pipelines for integrating machine learning technologies for medical imaging research and clinical applications. Key focus areas: self-supervised learning, multimodal learning, generative models, open source ML software development, image & signal processing, large-scale datasets (2D, 3D, time-series), reproducible research. Skilled in Python (TensorFlow/Keras/Pytorch), JAX, C++, Pandas, Docker, Matlab. Previously, I was a Marie Skłodowska-Curie PhD Fellow in Computer Science at the Technical University of Munich and GE Healthcare. My thesis focused on Data Driven Methods (using Machine Learning) for Accelerated Analysis of 3D Neuroimaging Data. Strong track record of multi-site collaborations across academia and industry along with high-impact publications.

Dr. Nima Ziraknejad is a Co-Founder and CEO at NZ Technologies Inc., a machine vision and robotics company. He is also the Regional Lead for Western Canada at Auto21, a Canadian national research and development network. Dr. Ziraknejad obtained his PhD in Electrical Engineering from the University of British Columbia in 2014, where his research focused on machine vision and robotics. He also holds a MS in Electrical and Computer Engineering from the University of British Columbia. Prior to his current roles, Dr. Ziraknejad worked as a Product Manager at Weir Motion Metrics, where he was responsible for managing the development and commercialization of new products.

Dr Abdussalam is a researcher at the Università di Pisa, Italia. He received M.Sc. degree in Electronic Engineering from the University of Glasgow in Scotland in 2018. He authored and co-authored several scientific articles in international conferences and journals . He is a member IET , and a member of IEEE. His current research interests are Deep learning, imaging processing, medical images, embedded systems, Power optimization management and IoT devices.