Abhinoy Singh

FAQ About Abhinoy Singh

• What is Abhinoy Singh's address?

  Abhinoy Singh is located at
  Patna, Patna, India

• What is Abhinoy Singh's job title?

  Abhinoy Singh is a
  I am currently an academician and looking to jump into the industry in the near future. I have a vast experience of 9 years (including the Ph.D. period) in developing stochastic algorithms, specifically Kalman filtering-based algorithms, and applying these algorithms for handling real-life data processing-based engineering problems. I developed several advanced Kalman-filtering algorithms with intention of improving the estimation accuracy and robustness against practical data irregularities. My contributions on handling the data irregularities include the occurrences of unknown time-delay in data, intermittently missing data, and cyber-attacked data. I applied Kalman filtering algorithms in handling several data processing problems. In this direction, my major contributions are as followed: i) developing target (missiles, satellites, warships, etc.) tracking algorithms by processing the non-trusted noisy radar data, ii) developing continuous glucose monitoring (CGM) algorithm for an underdeveloped CGM system (being developed by AgaMatrix, USA), and iii) parameter estimation of chaotic systems, which are amongst the most nonlinear engineering problems and probably the most difficult problems for stochastic analysis. These contributions consisted of several computational and signal processing problems such as noise filtering, parameter estimation, stochastic modeling, convolution/deconvolution from noisy input/output data, monitoring, etc. I could handle most of these problems by applying different variants of the Kalman filtering algorithm, which is probably the most accurate algorithm for handling noisy data. With the above past contributions, I believe I am ready to handle several stochastic problems such as estimation, prediction, smoothing, noisy data filtering, parameter estimation, stochastic modeling, industrial diagnosis and prognosis, monitoring, statistical signal processing, etc. Among the programming languages, I have working experience in MATLAB and R. Moreover, considering the similarity of the logic and syntaxes, I can also work in Python. Iit Mandi

• What industry does Abhinoy Singh currently work in?

  Abhinoy Singh currently works in the
  Iit Mandi

• What is Abhinoy Singh's area of expertise?

  Abhinoy Singh specializes in
  I am currently an academician and looking to jump into the industry in the near future. I have a vast experience of 9 years (including the Ph.D. period) in developing stochastic algorithms, specifically Kalman filtering-based algorithms, and applying these algorithms for handling real-life data processing-based engineering problems. I developed several advanced Kalman-filtering algorithms with intention of improving the estimation accuracy and robustness against practical data irregularities. My contributions on handling the data irregularities include the occurrences of unknown time-delay in data, intermittently missing data, and cyber-attacked data. I applied Kalman filtering algorithms in handling several data processing problems. In this direction, my major contributions are as followed: i) developing target (missiles, satellites, warships, etc.) tracking algorithms by processing the non-trusted noisy radar data, ii) developing continuous glucose monitoring (CGM) algorithm for an underdeveloped CGM system (being developed by AgaMatrix, USA), and iii) parameter estimation of chaotic systems, which are amongst the most nonlinear engineering problems and probably the most difficult problems for stochastic analysis. These contributions consisted of several computational and signal processing problems such as noise filtering, parameter estimation, stochastic modeling, convolution/deconvolution from noisy input/output data, monitoring, etc. I could handle most of these problems by applying different variants of the Kalman filtering algorithm, which is probably the most accurate algorithm for handling noisy data. With the above past contributions, I believe I am ready to handle several stochastic problems such as estimation, prediction, smoothing, noisy data filtering, parameter estimation, stochastic modeling, industrial diagnosis and prognosis, monitoring, statistical signal processing, etc. Among the programming languages, I have working experience in MATLAB and R. Moreover, considering the similarity of the logic and syntaxes, I can also work in Python.

• Which languages does Abhinoy Singh speak? 

  Abhinoy Singh speaks the following languages:
  No languages available.

• Which industries has Abhinoy Singh previously worked in?   

  Abhinoy Singh has prior experience in the following industries:
  Mcgill University , Shiv Nadar University

• What is Abhinoy Singh’s work experience?  

  Abhinoy Singh has the following professional experience:
  Iit Mandi , Indian Institute Of Technology Indore , Mcgill University , Shiv Nadar University , Iit Indore .

• How can I find Abhinoy Singh on LinkedIn?  

  You can view Abhinoy Singh’s
  LinkedIn profile at LinkedIn URL.

• What are Abhinoy Singh’s work email addresses?  

  Abhinoy Singh’s work email addresses are
  [email protected] .

• What company does Abhinoy Singh work for?  

  Abhinoy Singh works at
  Iit Mandi