Amey Joshi

Co-founded Objective Biotechnology, transforming my Ph.D. research into a commercial venture.

• Worked on vision based run time alignment (RTA) system. RTA is one of the core technologies for broadband plasma (BBP) optical wafer inspection products for semiconductor manufacturing. • Developed and implemented an image based dynamic yaw compensation feature using a feedforward controller for the RTA system, dynamically removing the high-stage jerk effects on images. • Investigating novel algorithms for image alignment and migrating past systems to modern hardware. • Published 2 conference papers and multiple internal documentation for the system.

• Worked in BioSensing and BioRobotics Laboratory under the guidance of Prof. Suhasa. • Invented vision based universal microinjection robotic platform. • Conceptualize & implemented vision based model predictive control (MPC), PID control, position tracking, alignment, object detection, sematic segmentation, path planning algorithms. • Designed, fabricated & assembled microscopes, robot parts, manipulators, XYZ stage, servo & stepper motors, LED. • Applied forward kinematics, camera calibration, FEM, noise filtering, triangulation, frequency analysis, bode plot analysis, auto PID tuning to improve robustness of the system. • Generated dataset of 1 million images of various model organisms, micropipette, for object detection. Trained and validated YOLOv3, v4, Faster R-CNN, Mask R-CNN models for vision MPC. • Programmed own GUI, and robot operating system (ROS) using python for customer’s easy use. • Performed extensive statistical analysis on data set using Excel and Prism GraphPad. • Derived fundamental principles by which microinjection affects biological organisms, which resulted in improvement in speed by 300%, accuracy by 375%, overall success by 250%, and success of critical experiments such as cryopreservation by 275%.

• Motion Control Lab: Undergrad controls lab. PID tuning, stepper & servo motor control, feedback feedforward control. • Advanced Fluid Power: Graduate fluid power control course. Simulations, MATLAB, Kalman filter, EKF, UKF.

• Worked in Engineering Research Center for automation division in Idea Generation and Design Modification Department • Worked on a project for front driver seat design modification and comparison for Passenger Vehicle TATA Tiago

• Designed, analyzed and manufactured lightest all-terrain-vehicle chassis till now in NITK according to BAJA SAE India rule-book • Introduced and implemented new analysis method and Design methodology for team • Participated in SAE India 2017 main event. Successfully presented team at virtual SAE India 2016 secured 14th rank among 410 teams

Instructor-Dr. Akshay Naik(Assistant Professor) • Worked in Centre for Nano Science and Engineering (CeNSE) dept. on a project ’Modeling and Simulation of Parametric Amplification of MEMS/NEMS Device’ • Analyzed parametric amplification of Graphene and MoS2 resonators considering duffing oscillator using MATLAB simulations and predicted the effect of change of phase, duffing oscillator constant and pumping voltage on amplitude • Training in manufacturing and characterization methods at National Nanofabrication clean room and Micro, Nano characterization facility

Instructor-Dr. Michael Cullinan(Assistant Professor) • Worked in NDML lab at Mechanical Engg. dept. on a project ’Modeling and Simulation of Non-linear Dynamics of Graphene-based Nanoelectromechanical resonators’ • Designed, analyzed and manufactured MEMS device which gives strain on resonator according to change in temperature and measures that strain based on change in series of capacitor value • Developed a method for modeling and simulation of graphene-based resonator under strain, no strain condition and predicted the values of input parameters for MEMS device like back gate AC, DC voltage

Summer Internship • Worked on a project ’Heat Treatment Analysis of High Carbon Steel’ in PE department. • Analyzed heat treatment process performed on dies for production of small commercial vehicle - ACE using ANSYS Workbench and implemented those changes in process

Industrial Training • Introduction to the processes involve in assembly of diesel engine by studying the methodologies implemented and understanding the use of each part in that process. • Working knowledge in testing of diesel engine. • Introduction to different production and manufacturing lines in industries. • Introduction to lean production technique.