Vikram Singh – Academics

Education

• M.Tech., Electrical Engineering, Indian Institute of Technology, Kanpur, June 2018.

• B.Tech. (Hons) (First class), Electronics and Communication Engineering, Kurukshetra University, July 2015.

Course Work (M.Tech.)

Credited Courses

\(\hspace{0.625cm}1\).a) Representation and Analysis of Random Signals                \(2\).a) Wireless Communications [EE-670]
\(\hspace{0.625cm}1\).b) Introduction to Signal Analysis                                               \(2\).b) MIMO wireless Communications [EE-677]
\(\hspace{0.625cm}1\).c) Statistical Signal Processing [EE-602]                                   \(2\).c) Detection and Estimation Theory
\(\hspace{0.625cm}1\).d) Digital Communication Networks [EE-673]                         \(2\).d) Convex Optimization [EE-609]

Audited Courses

\(\hspace{0.625cm}1\).e) Introduction to Machine Learning [CS 771A]                       \(3\).a) Probabilistic Machine Learning [CS 772A]
\(\hspace{0.625cm}2\).e) Topics in Stochastic Processes                                                 \(4\).a) Adaptive Signal Processing

1.a : 1 implies first semester and a is index for course number.

MOOCS (completed)

• Machine Learning by Prof. Andrew Ng (Coursera) [certificate].
  

• Error Correcting Codes by Prof. P. Vijay Kumar (Nptel) [Repository].
  

• Fundamentals of Statistics by Prof. Philippe Rigollet (edX) [certificate].
  

• Reinforcement Learning(CS-234) by Prof. Emma Brunskill (Stanford) [Repository].
  

• Introduction to Information Theory by Prof. Adrish Banerjee (Nptel).

• Deep Learning : 5 Course Specialization by Prof. Andrew Ng (Coursera) [certificate].

• Discrete Time Signal Processing by Prof. A.V. Oppenheim and Tom Baran (edX).
  

• Probability - The Science of Uncertainty and Data by Prof. John Tsitsiklis (edX).
  

• Game Theory-I/II by Prof. Matthew O. Jackson, Kevin Leyton-Brown and Yoav Shoham (Coursera) [certificate].
  

• Sparse Representations in Signal and Image Processing: Fundamentals by Prof. Michael Elad (edX) [certificate].
  

• Sparse Representations in Image Processing: From Theory to Practice by Prof. Michael Elad (edX) [certificate].
  

• Machine Learning with Python: from Linear Models to Deep Learning by Regina Barzilay and Tommi Jaakkola (edX) [certificate].