Work with thought leaders and academic experts in Robotics

Companies can benefit from working with Robotics experts in various ways. These experts can provide innovative solutions to complex problems, develop cutting-edge technologies, improve efficiency and productivity, enhance product quality and safety, optimize manufacturing processes, and provide valuable insights for strategic decision-making.

Researchers on NotedSource with backgrounds in Robotics include Christos Makridis, Dr. Andrew Raij, Ph.D., Serena Booth, Suhas Chelian, Dr. Aidan Scannell, Ph.D., and Dr. Justin W. Hart, Ph.D..

Christos Makridis

Nashville, TN
10 Years Experience
Web3 and Labor Economist in Academia, Entrepreneurship, and Policy
Education

Stanford University

Dual Ph.D., Economics and Management Science & Engineering / June, 2018

Stanford, California, United States of America

Arizona State University

B.S., Economics and Mathematics / May, 2012

Tempe, Arizona, United States of America
Experience

Stanford University

Digital Fellow / August, 2020 — Present

Department of Veterans Affairs

Senior Adviser, National AI Institute / January, 2020 — Present

Columbia Business School

Adjunct Associate Research Scholar / February, 2022 — Present

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
20 Years Experience
Principal Research Scientist and Lab Director | VR, AR, MR, XR, Spatial Computing, Immersive Technologies
Education

University of Florida

Ph.D., Dept. of Computer & Info. Science & Engineering / May, 2009

Gainesville, Florida, United States of America

University of North Carolina at Chapel Hill

M.S., Computer Science / December, 2003

Chapel Hill, North Carolina, United States of America

Northwestern University

B.S., Computer Science / June, 2001

Evanston, Illinois, United States of America
Experience

Draper Laboratory

Principal Member of Technical Staff / January, 2021 — Present

Universal Studios / NBCUniversal

Technical Program Manager / December, 2016 — November, 2020

University of Central Florida

Research Associate Professor / March, 2015 — September, 2016

Most Relevant Research Expertise
Robotics
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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Serena Booth

Cambridge, MA
5 Years Experience
Robotics Research Scientist - MIT
Education

Massachusetts Institute of Technology

PhD, Robotics / 2024 (anticipated)

Cambridge, Massachusetts, United States of America

Harvard University

BS, Computer Science / 2016

Cambridge, Massachusetts, United States of America
Experience

MIT

Research Scientist / 2018 — Present

Research Expertise (8)
human-robot interaction
Artificial Intelligence
reward design
explainable AI
Computer Science Applications
And 3 more
About
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.

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Suhas Chelian

17 Years Experience
Lead in machine learning, neuroscience
Education

Ph.D., Computational Neuroscience / December, 2005

Experience

Quantum Ventura

Principal Scientist / June, 2020 — Present

• Team lead in deep learning and computer vision projects for several government customers (DOD, DOE, etc.). • $2.5M+ captured in 8 SBIR/STTR grants captured including 2 Phase 2’s. • 3-4 projects occur at once, each with 4-6 team members including 1-2 subcontractors. • Computer vision projects: o Missile detection using infrared imagery and bio-inspired computing (technologies: U-Net, Siamese net, Keras). o Contraband detection with hyperspectral imaging and neuromorphic computing (technologies: spectral spatial ResNet, BrainChip, Keras). o UAV detection using multispectral/hyperspectral imaging (technologies: spectral spatial ResNet, Keras). • Other projects: o Network cybersecurity with deep learning using GPUs and neuromorphic computing (technologies: BrainChip, Intel Loihi, Keras). o Verification and validation of deep learning systems; time series prediction, adversarial attacks and hardening (technologies: LSTM, fast gradient sign method, Keras).

Research Expertise (6)
machine learning
computer vision
neuroscience
Artificial Intelligence
Cognitive Neuroscience
And 1 more
About
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

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Dr. Aidan Scannell, Ph.D.

Helsinki
6 Years Experience
Robotics & AI Researcher with over 6 years experience developing and implementing cutting-edge machine learning and robotics algorithms.
Education

University of Bristol

Ph.D., Robotics and Autonomous Systems / June, 2022

Bristol

University of Bristol

MEng, Mechanical Engineering / June, 2016

Bristol
Experience

Aalto University

Postdoctoral Researcher / July, 2022 — Present

Received four-year funding to sit jointly in the Robot Learning Lab and the Machine Learning Group.

Finnish Center for Artificial Intelligence Team Lead - Long-term decision making and transfer between tasks. / February, 2023 — Present

Leading a 6-person team of reinforcement learning researchers working on problems in the embodied AI domain.

University of Bristol

Teaching Assistant / September, 2018 — May, 2022

Teaching assistant for (i) Machine Learning, (ii) Robotic Systems and (iii) Intelligent Information Systems courses.

Most Relevant Research Expertise
robotics
Other Research Expertise (2)
probabilistic machine learning
reinforcement learning
About
Hello, my name is Aidan Scannell and I am a postdoctoral researcher with interests at the intersection of machine learning, sequential decision making and robotics. My research aims at enabling autonomous agents to learn behaviours, such that they can learn to solve any task. I am particularly interested in controlling agents with natural language instructions and the challenges associated with developing a robotic foundation model which can generalise across tasks, objects and embodiments. I am a [Finnish Center for Artificial Intelligence](https://fcai.fi/) postdoctoral researcher at [Aalto University](https://www.aalto.fi/en) in Joni Pajarinen’s [Robot Learning Lab](https://rl.aalto.fi/) and Arno Solin’s [Machine Learning Research Group](https://users.aalto.fi/~asolin/group/). I obtained my PhD from the [University of Bristol](https://www.bristol.ac.uk/) under the supervision of Arthur Richards and Carl Henrik Ek. During my PhD I developed methods for controlling quadcopters in uncertain environments by synergising methods from probabilistic machine learning, stochastic differential geometry and reinforcement learning.

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Dr. Justin W. Hart, Ph.D.

10 Years Experience
Professor at UT Austin specializing in artificial intelligence and human-robot interaction
Education

West Virginia University

BS, Computer Science / May, 2001

Morgantown, West Virginia, United States of America

Ph.D, Computer Science / December, 2014

New Haven, CT, Connecticut, United States of America

Cornell University

M.Eng, Computer Science / January, 2006

Ithaca, New York, United States of America
Experience

The University of Texas at Austin

Assistant Professor of Practice / September, 2017 — Present

University of British Columbia

Postdoctoral Fellow / December, 2014 — December, 2016

The University of Texas at Austin

Postdoctoral Fellow / December, 2016 — September, 2016

Research Expertise (12)
Artificial Intelligence
Human-Robot Interaction
Philosophy
Control and Systems Engineering
Social Psychology
And 7 more
About
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.

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Example Robotics projects

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

Automated Warehouse System

A Robotics expert can design and implement an automated warehouse system that utilizes robots for inventory management, order fulfillment, and logistics. This can significantly improve efficiency, reduce errors, and streamline operations.

Medical Robotics

Collaborating with a Robotics researcher can lead to the development of advanced medical robots for surgical procedures, patient care, and rehabilitation. These robots can improve precision, minimize invasiveness, and enhance patient outcomes.

Autonomous Vehicles

Working with a Robotics expert can help companies develop autonomous vehicles for transportation and logistics. These vehicles can increase safety, reduce fuel consumption, and optimize route planning.

Industrial Automation

An academic researcher in Robotics can assist companies in implementing industrial automation solutions. This can involve the use of robots for tasks such as assembly, welding, and quality control, leading to improved productivity and cost savings.

Robotic Process Automation

Collaborating with a Robotics expert can enable companies to automate repetitive and rule-based tasks through Robotic Process Automation (RPA). This can free up human resources, reduce errors, and increase operational efficiency.