Brian Jalaian

Brian Jalaian

Senior AI Research Scientist / Adjunct Assistant Professor

ARL / Virginia Tech

Biography

Brian Jalaian is a senior Artificial Intelligence (AI) research scientist at ARL and a adjunct assistant professor at Virginia Tech. He has obtained his Ph.D. from the Bradley Department of Electrical and Computer Engineering in 2016 at Virginia Tech. He has obtained his MS in Electrical Engineering (Network and Communication Systems) and MS in Industrial System Engineering (Operation Research) in 2013 and 2014 at Virginia Tech, respectively. He has been serving as a subject matter expert on AI assurance, safety, and security for mission-critical applications. His research interests are the broad area of robust and resilient AI including uncertainty quantification for machine learning, adversarial machine learning, test, evaluation, verification, and validation (TEV&V) for deep learning-based intelligent systems. Dr. Jalaian has experience on forming and leading cross-functional machine learning teams to pursue research and development on cutting-edge technologies. His research experience, skills, and technical leadership impact the basic research on developing unique capabilities for artificial intelligence for Army Research Laboratory. Particularly, he formed and led a technical machine learning research team focusing on uncertainty quantification, safe, robust, and resilient artificial intelligence on the Internet of Battlefield Things Collaborative Research Alliance, which has been very successful and contributed to several knowledge products and highlighted the importance of technological .

Interests
  • Safe, Robust, Resilient and Assured Artificial Intelligence
  • Uncertainty quantification for machine learning
  • Bayesian Inference
  • Bayesian Deep Learning
  • Optimization
  • Complex Network Optimization
Education
  • PhD in Electrical Engineering - Network Optimization, 2016

    Virginia Tech

  • M.Sc. in Operation Research, 2014

    Virginia Tech

  • M.Sc in Electrical Engineering - Communication Systems, 2013

    Virginia Tech

Skills

Technical Leadership

100%

Team Building & Team work

100%

Deep/Machine Learning Researcher

100%

Quantitative Research

100%

Python, PyTorch & TensorFlow

100%

AI Assurance, Safety, & Security

100%

Experience

 
 
 
 
 
ARL
Senior Artificial Intelligence Researcher
ARL
Feb 2020 – Present Maryland

Responsibilities include:

  • Conduct basic research on Safe, Robust, and Resilient Artificial Intelligence
  • Design novel framework for test and evaluation of machine learning for mission critical application
  • Technical advisor and subject matter expert on artificial intelligence assurance
 
 
 
 
 
ARL
Technical Research Lead & Research Scientist
ARL
Jan 2016 – Feb 2020 Maryland

Responsibilities include:

  • Perform basic research on adversarial machine learning and Bayesian deep learning
  • Lead a research group focusing on uncertainty quantification for machine learning
  • Technical Research Lead for a IoBT CRA
  • Lead a team of 15 PIs from prestigious universities, multiple Ph.D. students, and Post-docs on robust and resilient machine learning
 
 
 
 
 
Virginia Tech
Adjunct Assistant Professor
Jun 2018 – Present

Responsibilities include:

  • Perform basic research in complex network optimization
  • Advise Ph.D. students
  • Teach Graduate Courses in electrical and computer engineering department
 
 
 
 
 
Complex Network & Security Research Group, Virginia Tech
Research Assistant
Aug 2011 – Dec 2015 Blacksburg, Virginia

Responsibilities include:

  • Conduct basic research on mathematical modeling & optimization for complex networks
  • Perform basic research on modeling complex network dynamics via mathematical programming
  • Conduct basic research on wireless network optimization
 
 
 
 
 
National University of Singapore
Research Associate
Jan 2008 – Jul 2011 Singapore

Responsibilities include:

  • Conduct basic research on design & development of cognitive radio networks
  • Design novel wireless networking and communication protocols

Recent Publications

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(2021). Fountain Coding for Information Protection in Tactical Networks. ICMCIS.

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(2021). Machine learning raw network traffic detection. SPIE 2021.

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(2021). Minimizing AoI in a 5G-based IoT Network under Varying Channel Conditions. IEEE Internet of Things Journal.

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(2021). Maximize Spectrum Efficiency in Underlay Coexistence With Channel Uncertainty. IEEE/ACM ToN.

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(2020). Better call Surrogates: A hybrid Evolutionary Algorithm for Hyperparameter optimization. NeurIps Black Box Optimization Challenge.

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