Jatin Chaudhary | Image processing | Young Scientist Award

Ā Mr . Jatin Chaudhary | Image processing | Young Scientist Award

šŸ‘Øā€šŸ«Profile Summary

Ā Research trainee at the University of Pennsylvania’s Image Computing and Science Lab, focusing on medical imaging and software development. Ā Worked on aortic valve ultrasound data analysis, segmentation, and contributed to open-source software. Ā Research trainee at the University of Turku in Data Science & Machine Learning, utilizing Python and MATLAB for optimization problems in solar cells. Undergraduate researcher at SV National Institute of Technology, India, exploring advanced optics. Ā Achievements include independent research funding, travel funding, and recognition for research excellence. Ā Experienced mentor and private tuition teacher. Presented papers globally and awarded for innovation. Passionate about cutting-edge research at the intersection of technology and healthcarešŸŒŸ

šŸŒ Professional Profiles

 

šŸŽ“ Education

University of Turku, Department of Future Technologies, Turku, Finland, Doctoral Researcher (Data Science & Machine Learning) Supervisor: Prof. Jukka Heikkonen July 2021 ā€“ Present. Major Responsibilities: Mathematical Analysis of Algorithms, Dataset Preprocessing, Implementation of Algorithms, drafting Research Articles, etc. Working on Algorithm Designing of Image processing techniques for Satellite Images from Sentinel 1 and Sentinel 2 satellites. Sardar Vallabhbhai National Institute of Technology (SVNIT), Surat, India Bachelors of Technology (B.Tech) in Electronics and Communication Engineering 2017-2021 Cumulative GPA: 7.13/10

šŸ‘Øā€šŸ’¼ Professional Experience

Penn Image Computing and Science Laboratory, University of Pennsylvania (Remote, Part-time), Research Trainee (Medical Imaging and Software Development) Supervisor: Prof. Alison Pouch February 2021-Present Major Responsibilities: Data Analysis and Segmentation of Aortic Valve Ultrasound data using ITK Snap, VTK, MATLAB, C3D. Algorithm Designing of Image Segmentation of 4D image using C3D. Contribution to an open-source software. University of Turku, Department of Future Technologies, Turku, Finland Research Trainee (Data Science & Machine Learning)Supervisor: Prof. Jukka Heikkonen August 2018-May 2019 (Remote, Part-time) / June 2019-July 2019 (In-Person, Full Time) / August 2019-June 2021 (Remote, Part-time) Utilized Python (TensorFlow, Keras, scikit-learn, pandas) and LaTeX. MATLAB implementation of Artificial Neural Network techniques for the optimization problem of Single Junction Solar Cells. SV National Institute of Technology, Applied Physics Department, Surat, India Undergraduate Researcher (Advance Optics Research Laboratory) Supervisor: Prof. Vipul Kheraj September 2017-July 2018 Worked on the deflection of particle nature of light ray by a strong external electric and magnetic field.

šŸ’”Skills

Medical Imaging Analysis: ITK, VTK, C3D, Programming Languages: C++, Python, Machine Learning: Python libraries (Tensorflow, Keras, scikit-learn, numpy, pandas), Data Science Algorithms: Support Vector Machine, Convolutional Neural Network, Artificial Neural Network, Long Short Term Memory (LSTM), K Nearest Neighbour (KNN)

šŸš€Ā Projects

Bachelors’ Thesis (Advisor: Prof. Suman Deb) NIT, Surat Emotion Detection of Sound using Deep Learning for Emergency Usage (August 2020-May 2021) Working on Emotion Detection of sound data to deploy it to law enforcement agencies’ surveillance systems. Algorithms: SVM, CNN, LSTM, Inception model on Keras and Tensorflow.

šŸ“„Ā Paper and Poster Presentation

Oral presentation of paper entitled ā€œOptimization of Silicon Tandem Solar Cells Using Artificial Neural Networksā€ at the 39th SGAI International Conference on Artificial Intelligence, Cambridge University, England. Poster presentation of the paper entitled ā€œPerformance Analysis of Back Surface Field (BSF) Effects in Multijunction Photovoltaic Cellā€ at the 47th IEEE Photovoltaic Specialists Conference (PVSC), Canada (Virtual Meeting). Oral presentation of the paper entitled ā€œHuman Presence Detection with Thermal Sensor using Multilayer Perceptron Algorithmā€ at the 2021 IEEE 7th World Forum on Internet of Things (WF-IoT), New Orleans, Louisiana, USA (Virtual Meeting). Research Talk on ā€œNumerical Investigations on the Type-II Band Alignment and Quantum Efficiency of Multijunction Solar Cell using Andersonā€™s Ruleā€ at the Indian Institute of Technology (IIT), Roorkee, India.

šŸ‘Øā€šŸ« Teaching Experience

2022 (Mar-Sept): Supervisor Supervised two undergraduate students for their theses based on object detection at the harbor in Finland. 2020-2021: Private Tuition Teacher (Part-time) Tutored high school students in Elementary Physics, Mechanics and Relativity, Electricity and Magnetism, Calculus, Energy Science, and Technology. 2018-2020: Mentor Mentored younger undergraduate students on Computer Programming (Weekly). Provided guidance on C/Python Programming Language.

šŸ†Achievements

Secured independent funding from the University of Turku for two years of research. Funding Amount: 57,000 EUR. Secured travel funding from the Smarter Project (an EU project) for a research travel of up to six months. Funding Amount: 18,000 EUR (approx). Awarded the Research Excellence Award by the First Bionicsol Young India Innovator Contest in 2020. Awarded a scholarship for undergraduate studies by the Embassy of India, Kathmandu, under the Compex Scholarship Scheme.

 

šŸ“šTop Noted Publication

  • Liu M., Chaudhary J., Pouch A.
    • Title: Virtual Reality for Image-Based Quantitative Assessment of the Aortic Root.
    • Status: Ongoing

 

  • Chaudhary, J., Bhattacharya, S., Heikkonen, J., & Kanth, R.
    • Title: Optimization of Photovoltaic Cells using Artificial Intelligence Techniques: Systematic Literature Review
    • Status: To be submitted to Artificial Intelligence, Elsevier

 

  • Chaudhary, J., Pant, D. R., Pokharel, S., Skƶn, J. P., Heikkonen, J., & Kanth, R.
    • Title: Image Quality Assessment by Integration of Low-level & High-Level Features: Threshold Similarity Index.
    • Conference: 2022 IEEE 31st International Symposium on Industrial Electronics (ISIE)
    • Published: June 2022, pp. 135-141, IEEE

 

  • Chaudhary, J., Bhattacharya, S., Heikkonen, J., & Kanth, R.
    • Title: Prediction of Electron Band Gap of A2XY6 Perovskite Compounds using Machine Learning.
    • Conference: 2022 IEEE 49th Photovoltaics Specialists Conference (PVSC)
    • Published: June 2022, pp. 1173-1176, IEEE

 

  • Chaudhary, J.K., Liu, J., Skƶn, J.-P., Chen, Y.W., Kanth, R.K., Heikkonen, J.
    • Title: Optimization of Silicon Tandem Solar Cells Using Artificial Neural Networks.
    • Published: Lecture Notes in Computer Science, 2019, pp. 392ā€“403. DOI: 10.1007/978-3-030-34885-4_30

 

  • J. Chaudhary, R. Kanth, J. Skƶn, and J. Heikkonen
    • Title: Performance Analysis of Back Surface Field (BSF) Effects in Multijunction Photovoltaic Cell.
    • Conference: 47th IEEE Photovoltaic Specialists Conference (PVSC), 2020, pp. 1207-1211, DOI: 10.1109/PVSC45281.2020.9301018

 

  • J. K. Chaudhary, R. Kanth, J. Skƶn and J. Heikkonen
    • Title: Analysis and Enhancement of Quantum Efficiency for Multi-Junction Solar Cell.
    • Conference: 2019 IEEE 46th Photovoltaic Specialists Conference (PVSC), 2019, pp. 0210-0214, doi: 10.1109/PVSC40753.2019.8980684

 

  • Kanth, R., Korpi, T., Toppinen, A., MyllymƤki, K., Chaudhary, J., Heikkonen, J.
    • Title: Educational Approach to the Internet of Things (IoT) Concepts and Applications.
    • Published: DOI: 10.5121/csit.2019.91320

 

  • L. Puurunen, J. Chaudhary, R. Kanth and J. Heikkonen
    • Title: Human Presence Detection with Thermal Sensor using Multilayer Perceptron Algorithm.
    • Conference: 2021 IEEE 7th World Forum on Internet of Things (WF-IoT), 2021, pp. 669-673, doi: 10.1109/WF-IoT51360.2021.9595529.