Hello, my name is
Prateek Singh
And I'm a
About me

About me

I'm Prateek and I'm a

I hold a PhD in Signal Processing and Artificial intelligence from Indian Institute of Technology, Roorkee. My expertise is in DL models and their explanations. I work with organisations to help them innovate through design and technology. I work specifically in R&D, with interests ultimately relating to AI/ML, physiological signal processing, and computer vision. As a senior technical lead, I am currently working with Mercedes-Benz Research and Development India. Prior to this, I was consulting Elastic Care, Canada, a maker of remote cardiac monitoring devices. I developed a heart rate algorithm, an arrhythmia classification algorithm, and a respiration rate algorithm, as well as assisted several teams with 510Ks, FDA approvals, clinical protocol preparation, and clinical validation.

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My Work experience

Consultancy Work

I have 8 years of expertise developing algorithms for physiological signals, which includes signal pre-processing, classification, and feature extraction. I've also assisted wearable device firms with FDA, 510K, SAMD, and clinical trial submissions. Vigo Health Care, Pareto Tree, and Elastic Care Inc. are some of my clientele.

Teaching

I have taught a variety of technical courses, including Machine Learning, Deep Learning, Biomedical Engineering, and others. I lead workshops on artificial intelligence and its ethical implications, with a focus on Automated Decision-Making Systems (ADM) in the biological and medical domains. During my Ph.D., I have published several peer-reviewed research papers. List of journals and conference papers can be viewed by clicking Publications tab.

Reviewer

I am a reviewer of multiple world's top cited publishers (leading Q1 journals). To mention a few, I have reviewed research papers related to deep learning topics for prominent publications such as IEEE Transactions on Instrumentation and Measurement, Nature's Scientific Reports, IEEE Internet of Things Journal, IEEE Access, Expert Systems with Applications, Recent Advances in Computer Science and Communications and The Open Sports Science Journal.

My skills

My creative skills & experiences.

I am having a good command on python, matlab and AI frameworks like tensorflow, keras, scikit learn, pandas and others. Please see my CV for full details and publications.

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Tensorflow 90%
Signal Processing 90%
MATLAB 90%
Flask 80%
Python 90%
PyTorch 70%

My Education

Indian Institute of Technology Roorkee

I graduated with a PhD in 2022. My topic of thesis was "Automated Arrhythmia detection using ECG signals". This study was focused on the development of machine learning and deep learning models for the classification of different arrhythmias using ECG signals. I additionally developed explainable AI (XAI) techniques. This thesis resulted in three Q1 publications and a number of conferences.

College of Engineering, Pune

I earned my Master of Technology in Biomedical Instrumentation in 2015. My Topic of Research in masters was "Impulse Noise Removal using FPGA: Case study- ECG signal". This project entailed designing and implementing an adaptive filter for ECG signals to reduce impulse noises. The implementation was carried out on an FPGA board using Verilog HDL.

Hindustan College of Science & Technology, Mathura

In 2011, I received my bachelor of technology in Electronics and Instrumentation from HCST. Courses studied: Digital Signal Processing, Data Structures, Control System, Electrical Instrumentation System etc.

My Publications

  1. Singh, Prateek, Ambalika Sharma, and Shreesha Maiya. "Automated atrial fibrillation classification based on denoising stacked autoencoder and optimized deep network." Expert Systems with Applications 233 (2023): 120975 (I.F- 8.5).
  2. P. Singh and A. Sharma, ”Attention-Based Convolutional Denoising Autoencoder for Two-Lead ECG Denoising and Arrhythmia Classification,” in IEEE Transactions on Instrumentation and Measurement, vol. 71, pp. 1-10, 2022, Art no. 4007710, doi: 10.1109/TIM.2022.3197757. (I.F. 5.6)
  3. P. Singh and A. Sharma, ”Interpretation and Classification of Arrhythmia using Deep Convolutional Network,” in IEEE Transactions on Instrumentation and Measurement, 2022, doi: 10.1109/TIM.2022.3204316. (I.F. 5.6)
  4. P. Singh and A. Sharma, ”P. Singh and A. Sharma, ”Atrial Fibrillation Classification Using Transfer Learning,” 2021 IEEE Bombay Section Signature Conference (IBSSC), 2021, pp. 1-5, doi: 10.1109/IBSSC53889.2021.9673229.
  5. S. Mirza, K. Bhole and P. Singh, ”Fetal ECG Extraction and QRS Detection using Independent Component Analysis,” 2020 16th IEEE International Colloquium on Signal Processing & Its Applications (CSPA), 2020, pp. 157-161, doi: 10.1109/CSPA48992.2020.9068696.
  6. P. Singh, K. Bhole and A. Sharma, ”Adaptive Filtration Techniques for Impulsive Noise Removal from ECG,” 2017 14th IEEE India Council International Conference (INDICON), 2017, pp. 1-4, doi: 10.1109/INDICON.2017.8488064.
  7. SJ. Wadgaonkar, K. Bhole and P. Singh , ”Floating point FPGA architecture of PID controller,” 2015 International Conference on Industrial Instrumentation and Control (ICIC), 2015, pp. 1259-1263, doi: 10.1109/IIC.2015.7150941. ISBN No.978-1-4799-7/15
  8. P. Singh and K. Bhole, ”Impulsive Noise Removal from ECG”. 2015 International Conference on Computing,. Communication, Electrical, Electronics, Devices and Signal Processing, 2015, Mar 28-30, 2015, Lankapalli(Vijayawada), India.
  9. P. Singh and K. Bhole, ”Optimized floating point arithmetic unit,” 2014 Annual IEEE India Conference (INDICON), 2014, pp. 1-4, doi: 10.1109/INDICON.2014.7030552. ISBN No. 978-1-4799-5362-2.

Contact me

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Name
Prateek Singh
Address
Bangalore, India
Email
prateek29singh@gmail.com