Education

Ph.D. in Computer Engineering (2019)
Missouri University of Science & Technology
Dissertation: Deep Neural Network Learning-based Classifier Design for Big-data Analytics
Advisor: Prof. Jagannathan Sarangapani

M.S. in Computer Engineering (2014)
Missouri University of Science & Technology
Thesis: Computer Vision Libraries for Trailer Truck Test Bed
Advisor: Prof. Levent Acar

B.E. in Instrumentation and Control (2012)
V.E.S. Institute of Technology (VESIT), University of Mumbai
Thesis: Modbus Protocol Implementation with ARM7
Advisor: Prof. Deepthi Khimani


Experience

Assistant Computational Mathematician (2022 - Present)
Mathematics and Computer Science (MCS)
Argonne National Laboratory

Postdoctoral Appointee (2019 - 2022)
Mathematics and Computer Science (MCS)
Argonne National Laboratory

Graduate Research Assistant (2013 - 2019)
Electrical and Computer Engineering
Missouri University of Science & Technology


Research Interests

  • Continual Learning: Theory and methods for lifelong learning in neural networks
  • Workflow Optimization: AI-driven scheduling and anomaly detection for scientific workflows
  • Scientific Machine Learning: Physics-informed neural networks and surrogate modeling
  • Deep Learning Theory: Understanding learning dynamics and model capacity
  • Reinforcement Learning: Control systems and optimization

For a complete CV including publications, grants, talks, and service, please download the PDF above.