Ben Hocking Email & Phone Number
@virginia.edu
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Who is Ben Hocking? Overview
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Ben Hocking is listed as Senior Principal AI Research Engineer at RTX, based in Charlottesville, Virginia, United States. AeroLeads shows a work email signal at virginia.edu and a matched LinkedIn profile for Ben Hocking.
Ben Hocking previously worked as Principal Scientist at Dependable Computing and Adjunct Professor at University Of Virginia. Ben Hocking holds Doctor Of Philosophy (Phd), Computer Science from University Of Virginia.
Email format at RTX
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About Ben Hocking
I’m a Principal Scientist with over 12 years of experience developing safety-critical and security-critical systems, specializing in formal methods, safety cases, and system validation for the aerospace, defense, and automotive sectors. My work focuses on integrating formal verification techniques to ensure the highest levels of reliability and safety in autonomous systems.I’ve collaborated with various organizations, including AdaCore, Air Force Research Laboratory (AFRL), Barron Associates, Defense Advanced Research Projects Agency (DARPA), Department of Defense (DoD), Edge Case Research, Galois, GE Aeronautics, GE Research, Lockheed Martin, NASA, Toyota InfoTechnology Center, and Zephyr Software.Ideas for Future InnovationsI’m particularly interested in exploring the intersection of artificial intelligence and formal methods. With recent AI certifications and a background in neural networks, I’m researching ways to automate aspects of formal methods using AI, improving the efficiency and scalability of verification processes.Building on my background in quantum physics, I’m also exploring how formal methods can be applied to quantum algorithms. Additionally, I’m interested in discovering applications for quantum deep neural networks.
Listed skills include Artificial Intelligence, Artificial Neural Networks, Astrophysics, Computer Science, and 38 others.
Ben Hocking's current company
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Ben Hocking work experience
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Principal Scientist
Current- In this role, I lead and contribute to a variety of safety-critical and security-critical software engineering projects, specializing in formal methods, safety case engineering, and system validation. Key projects.
- Principal Investigator on an AFRL-funded project researching formal verification for autonomous vehicles, with a focus on the verification and validation of aerospace system technologies.
- Principal Investigator on an AFRL-funded project focused on the formal verification and development of assurance arguments for a neural network control system (NNCS) with run-time assurance (RTA), ensuring compliance.
- Principal Investigator for a NASA-funded project on Argument-Driven Application of Formal Methods, exploring how formal methods enhance rigorous safety arguments and vice-versa.
- Principal Investigator on a DARPA-funded project dedicated to reverse engineering binaries of unknown provenance using PEASOUP tools, converting them into SPARK Ada, and verifying critical security properties to ensure.
- Principal Investigator on Toyota-funded projects, applying formal verification techniques to automotive software and developing safety cases for safety compliance in automotive software.
Adjunct Professor
- I taught an undergraduate Computer Science Discrete Mathematics course, where I:
- Designed and delivered lectures on key topics like set theory, logic, algorithms, and formal methods.
- Developed course materials, including problem sets and exams, and integrated tools like LEAN and Dafny to teach formal verification, enhancing students' understanding of formal methods and computer science.
Software Engineer
- I developed software that enabled scientists, engineers, and academics to integrate their computational models into commercial products. Key projects included:
- Design Assessment of Reliability With INspection (DARWIN): Contributed to risk analysis research for gas turbines in aircraft by simulating crack growth in engine components. This helped identify high-risk components.
- Numerical Evaluation of Stochastic Structures Under Stress (NESSUS): Participated in modeling the interaction of random variables under different distributions, focusing on strain and stress simulations. The research.
Research And Teaching Assistantships
- My research primarily focused on designing and implementing software, scripts, and tests to simulate neural networks modeling the CA3 region of the mammalian hippocampus, where I:
- Developed and optimized neural network models using metaheuristic state space searches.
- Applied genetic algorithms to fine-tune simulation parameters, enhancing model accuracy.In addition to my primary research, I worked on interdisciplinary projects, where I:
- Created a database and web interface for an archeology project at the Chaco Culture National Historical Park in New Mexico, traveling there multiple times to support fieldwork and collaborate with researchers.
- Developed software to support psychological experiments.As a teaching assistant, I:
- Taught Introduction to Artificial Intelligence, Methods in Software Development, and VB for Business Applications.
Ben Hocking education
Doctor Of Philosophy (Phd), Computer Science
Mcs, Computer Science
Ms, Physics/Astronomy
Bs, Physics
Frequently asked questions about Ben Hocking
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What company does Ben Hocking work for?
Ben Hocking works for RTX.
What is Ben Hocking's role at RTX?
Ben Hocking is listed as Senior Principal AI Research Engineer at RTX.
What is Ben Hocking's email address?
AeroLeads has found 1 work email signal at @virginia.edu for Ben Hocking at RTX.
Where is Ben Hocking based?
Ben Hocking is based in Charlottesville, Virginia, United States while working with RTX.
What companies has Ben Hocking worked for?
Ben Hocking has worked for Rtx, Dependable Computing, University Of Virginia, and Elder Research, Inc / Mustard Seed Software, Llc.
How can I contact Ben Hocking?
You can use AeroLeads to view verified contact signals for Ben Hocking at RTX, including work email, phone, and LinkedIn data when available.
What schools did Ben Hocking attend?
Ben Hocking holds Doctor Of Philosophy (Phd), Computer Science from University Of Virginia.
What skills is Ben Hocking known for?
Ben Hocking is listed with skills including Artificial Intelligence, Artificial Neural Networks, Astrophysics, Computer Science, Continuous Integration, Data Analysis, Database Design, and Data Mining.
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