Ashish M. Chaudhari, Ph.D Email & Phone Number

Boston, Ma, Us

Amsterdam, Noord-Holland, Nl

- Working on data integration and developing deep learning methods for workflow improvement and diagnosis in echocardiogram

Cambridge, Ma, Us

■ Project: Model Confidence Framework for Model-based Engineering and Integrated Design- Interviewed 20 Ford Motor Company engineers to understand their concerns about the use of advanced modeling and simulation- Developed and validated a model confidence framework using interview content analysis resulting in a peer-reviewed conference paper.- Generated managerial insights for the sponsor by identifying 9 key barriers and enablers of digital engineering practice.

College Station, Tx, Us

■ Project 1: AI-enabled Interactive Exploration of the System Architecture Space- Evaluated the traceability in tradespace exploration (TE) for electrical system architectures for Ford Motor Company.- Developed a novel TE method using a Rule-Based System, Multi-Objective Evolutionary algorithm, and Interactive Rule Mining.- Demonstrated engineering insights to a group of 100 management and research staff.■ Project 2: Human-AI Collaboration for Optimization- Analyzed the interpretability of deep learning models in generative design tasks using behavioral experiments and a Python app, resulting in 2 research papers.- Developed an item response theory (IRT) model and multidisciplinary optimization metrics to quantify human learning and performance from variational autoencoders (VAEs).

West Lafayette, In, Us

■ Project 1: Descriptive Modeling and Inference for Engineering Design Decisions- Collaborated cross-functionally with systems engineering, management, and psychology professors and mentored first-year graduate students- Developed and validated a hierarchical Bayesian inference method for learning decision heuristics from observational data, recruiting over 350 experimental subjects.- Helped PI recognize over 1 million in grant funding and published 6 top-tier journal papers and 9 conference papers resulting in grant renewal every year.

West Lafayette, In, Us

■ Lab Instructor, Machine Design I -- Delivered weekly laboratory instruction to 80 ME students on kinematics and fatigue analysis -- Adapted lab sessions mid-pandemic to facilitate online instruction by focusing on easy-to-grasp mechanisms like the bicycle dynamics model■ Teaching Assistant & Guest Lecturer, Decision Making in Engineering Design -- Guided graduate students \& engineers with framing their course projects \\ -- Taught a lecture on the topic of ``Sequential Decision Making: When to Stop Search?''

Ottawa, Ontario, Ca

- Led a successful research proposal for a scholarship to travel and conduct research abroad- Engaged in Mitacs Step workshops: Communicating with Impact, and Introduction to Productive Teams- Achieved improved replicability of 3D printers by designing and printing plastic T-slots to replace the metal counterparts used in RepRap 3D printer

Mumbai, Maharashtra, In

Doctor Of Philosophy - Phd, Mechanical Engineering

Master Of Science - Ms, Mechanical Engineering

Bachelor Of Technology (Btech), Mechanical Engineering

Higher Secondary Certificate, Physical Sciences