Joydeep Munshi, Phd Email & Phone Number

United States

◦ Develop software solutions for the application of Artificial Intelligence to aerospace programs.◦ Implement and analyze prototypes and solutions for real-world problems.◦ Publish novel findings in scientific workshops, conferences, and journals.◦ Work with and lead teams of researchers.

United States

1. Implement machine learning (deep learning) algorithm for image signal processing, low-level vision and computational imaging problems.2. Fundamental research and development to advance AI/ML algorithm development for computer vision.3. Responsible in researching SOTA computational and AI/ML approaches, implement in business problems.4. Communicate new scientific achievements through conference, journal and patent publications.5. Responsible for leading projects and individually working on R&D goals based on the business needs.

Chicago, Illinois, United States

1. Project: 4DCamera Distillery: From Massive Electron Microscopy Scattering Data to Useful Information with AI/ML2. Funding: Department of Energy (DOE) - Artificial Intelligence and Machine Learning at DOE Scientific User Facilities PI: Maria Chan (NST)3. Robust and fast 4D-STEM analysis pipelines using machine learning (using pyPrismatic, pyMatgen and in-house code manipulatt)4. Develop, test and deploy analysis pipeline for 4D-STEM Experiments using ML/DL tools5. Train a deep learning model using electron beam images (in vacuum) and electron diffraction images (through specimen) to predict Bragg peak locations and intensities - 4DCrystal6. Train a deep learning classification network to determine underlying crystal structures and orientation given a Bragg vector maps (from 4D>crystal) - 4DClassify7. Other project: Computational modeling of tranport mechanism in Carbon nano phase inclusion in Cu/Al metals (Covetic materials)8. Perform molecular dynamics simulations (Lammps) to investigate phase transition, mechanical and lattice thermal conductivities of pure metal and metal-nanocarbon composite systems9. perform density functional calculations (Vasp) to generate training data for inter-atomic force field predictions

Allentown, Pennsylvania Area

1. Project “Concurrent Design of Quasi-Random Nanostructured Material Systems (NMS) and Nanofabrication Processes using Spectral Density Function” funded by National Science Foundation (NSF). 2. Coarse-grained molecular dynamics simulation of photoactive bulk heterojunction layers in organic solar cell3. Molecular dynamics simulation to investigate thermal properties of Gallium Oxide used in power electronics applications◦4. First principle calculations (DFT, AIMD) of oxides and glass structures used in solar cells5. Machine learning and deep learning (RNN and LSTM based neural net) to develop organic materials screening frameworkfor photovoltaics application◦Bayesian optimization to optimize efficiency and mechanical property of bulk heterojunctions organic solar cell6. Performing atomistic calculations using CGMD model in Gromacs 2018 on high performance computation (HPC) clusters. 8. Performing classical molecular dynamics using Lammps package for thermal property calculations of oxide materials. 9. Extensively using different languages such as FORTRAN, Python, C++ and Matlab for post processing atomistic trajectories. 10. Using Python, Pandas, Apache PySpark, Scikit-learn, Keras and TensorFlow for neural network, machine learning and data driven study

Greater Philadelphia Area

Responsibilities include (not limited to):1. Design of experiments (DOE) to optimize silver paste printability, stability and efficiency of solar cells2. Batching, roll milling (Exakt roll mills) of silver paste for photovoltaics application – conducting silver paste for solar cells3. Screen printing of silver paste on mono and multicrystalline solar cells4. Optical profile (3D metrology) measurement using Zeta instruments to measure aspect ratio of silver bus bar and finger lines on solar cell5. IV characteristic measurement for printed solar cells to measure efficiency, open-circuit voltage (Voc), short-circuit current (Isc), fill-factor (FF) etc.6. Electroluminescence (EL) measurement to detect finger line defects7. Rheology experiments of different paste compositions to measure stability8. Data analysis of R&D experimental data for visualizing, predicting performance of paste9. Experimental anomaly detection using data analytics and machine learning10. Data analysis for synthesis of novel materials for high performance paste11. Molecular dynamics simulation of oxide materials and glass properties

1. Trained in C++, PL/SQL and Oracle. 2. Trained in using mainframe computers for database management using IBM DB2. 3. Trained in telecommunication and automation tools. 4. Worked in project for automation of telecommunication industry such as Vodafone and Tata Telecommunications.

Kolkata Area, India

1. Understanding real time process automation of a LPG bottling plant of IOCL Kalyani Bottling plant.2. Understanding and analyzing different actuators, Pneumatic valves and sensors related to automation process.3. Understanding and analyzing PLC controller logic required to control the whole process.4. Use of Carousel System for Bottling Plant, how different sensors work (Load cells, optical sensors,photoelectric sensors, defect and leak measurements for LPG) 5. Use of different sensors to measure safety and hazard, control of safety and hazards (eg. Gas leakage monitoring)6. Plant Instrumentation.

Kolkata Area, India

1. Simulation designing for automated industrial process using ROCKWELL PLC.2. Ladder Logic Design for automated Batch process for Bottling Plant - Step wise processing (Conveyor belt as a transporter) - from liquid pouring to bottle capping and dispatch,3. Burning the logic onto a PLC board (Memory of the PLC)

Doctor Of Philosophy - Phd, Mechanical Engineering, 3.81/4.00 (Outstanding Dissertation Award)

Research assistant at Mechanical engineering department. Working on a project funded by NSF collaborative research initiative. I am.

Master Of Engineering (Meng), Nuclear Engineering (Mechanical Engineering), 9.44/10.00 (Gold Medalist)

Nuclear science and engineering. Computational fluid dynamic analysis of hydrogen combustion and mitigation of hydrogen explosion hazard.

Engineer'S Degree, Electronics And Instrumentation, 8.3/10.00 (First Class)

Activities and Societies: Robotics, Automation Robotics, Technical Club, PLC training, Power plant automationPursued Bachelors.