Meesam Jafri Wireless Communication Teacher
8 Reviews

I am a Ph.D. research scholar at the Electrical Engineering Department, IIT Kanpur. I am pursuing research in signal processing and wireless communication. I have strong knowledge of the subjects i.e. Digital Communication, Signals and Systems, Digital Signal Processing, Wireless Communication, MIMO Communication, Probability and Random process, Linear Algebra, 5G wireless communication. I can also help the students who are doing research in the same field. My teaching style is very innovative and simple. I try to teach students in the best possible way. One of my great qualities is that I try to convey difficult things in a very simple way.

Subjects

  • Digital Signal Processing Bachelors/Undergraduate-Doctorate/PhD

  • Digital Communication Bachelors/Undergraduate-Doctorate/PhD

  • Linear Algebra Bachelors/Undergraduate-Doctorate/PhD

  • Signals & Systems Bachelors/Undergraduate-Doctorate/PhD

  • Probability Bachelors/Undergraduate-Doctorate/PhD

  • Probability and Random Process Bachelors/Undergraduate-Doctorate/PhD

  • Wireless Communication Bachelors/Undergraduate-Doctorate/PhD

  • Estimation and Detection Theory Bachelors/Undergraduate-Doctorate/PhD

  • Random Variables and Stochastic Processes Beginner-Expert

  • Statistical inference Beginner-Expert

  • Random signals Bachelors/Undergraduate-Doctorate/PhD

  • Signals and systems using MATLAB Bachelors/Undergraduate-Doctorate/PhD

  • Linear Algebra (Advanced)

  • Convex optimization Bachelors/Undergraduate-Doctorate/PhD

  • Python for Data Science Beginner-Expert

  • Adaptive Filter Theory Bachelors/Undergraduate-Doctorate/PhD

  • Linear Algebra for Data Science Beginner-Expert

  • mmWave Communication Expert


Experience

No experience mentioned.

Education

  • PhD (Jul, 2018now) from IIT KANPUR, Kanpur, Indiascored 10

Fee details

    3,00010,000/hour (US$35.93119.76/hour)


Courses offered

  • Class 9, 10 Maths Science

    • USD500
    • Duration: 4 months
    • Delivery mode: Online
    • Group size: Individual
    • Instruction language: English
    • Certificate provided: No
    I am available to teach Maths and Science subjects to class 9th and 10th students in online mode.
  • Wireless Communication

    • USD1000
    • Duration: 30 days
    • Delivery mode: Online
    • Group size: Individual
    • Instruction language: English
    • Certificate provided: No
    I am available to teach wireless communication course to undergraduate and post graduate students. I usually follow books by David Tse and Andrea Goldsmith. I am also open to books by some other authors.
  • Probability Theory and Random Variables

    • USD1000
    • Duration: 30 days
    • Delivery mode: Online
    • Group size: Individual
    • Instruction language: English
    • Certificate provided: No
    I am available to teach probability theory and random variables course to undergraduate and post graduate students, who want to study the application in wireless communication and optimization.
    I am available to teach single or a group of students. List of topics are:

    Introduction to Probability
    Axioms of Probability
    Sample space and events
    Random variables
    Distribution and density functions
    Mean and variance of a random variable
    Baye's formula
    Conditional probability density function
    The function of one random variable
    Two random variables
    Statistics
  • Convex Optimization

    • USD1000
    • Duration: 30 hours
    • Delivery mode: Online
    • Group size: Individual
    • Instruction language: English
    • Certificate provided: No
    Concentrates on recognizing and solving convex optimization problems that arise in applications. Convex sets, functions, and optimization problems. Basics of convex analysis. Least-squares, linear and quadratic programs, semidefinite programming, minimax, extremal volume, and other problems. Optimality conditions, duality theory, theorems of alternative, and applications. Interior-point methods. Applications to signal processing, statistics, machine learning, and communication.
  • Linear Algebra

    • USD1000
    • Duration: 30 hours
    • Delivery mode: Online
    • Group size: Individual
    • Instruction language: English
    • Certificate provided: No
    I will help you with the following lists of topics, which you will find helpful to understand the various subjects, for example, Data science, convex optimization, wireless communication, Machine learning, etc.

    Systems of linear equations
    Matrix operations, including inverses
    Linear dependence and independence
    Subspaces and bases and dimensions
    Orthogonal bases and orthogonal projections
    Gram-Schmidt process
    Linear models and least-squares problems
    Eigenvalues and eigenvectors
    Diagonalization of a matrix
    Positive-definite matrices
    Linear transformations
    Eigenvalue decomposition
    Singular Value Decomposition
    Principal component analysis
  • Estimation Theory

    • USD1000
    • Duration: 30 hours
    • Delivery mode: Online
    • Group size: Individual
    • Instruction language: English
    • Certificate provided: No
    Course Description:
    Classical Estimation (Deterministic Parameter)
    Cramer-Rao Lower Bound
    Minimum Variance Unbiased Estimation
    Least Squares Estimation
    Maximum Likelihood Estimation
    Bayesian Estimation (Random Parameter)
    Minimum Mean Square Estimation
    Maximum A Posteriori Estimation
    Optimal Filtering
    Wiener Filtering
    Kalman Filtering
    Applications: Radar, Sonar, Emitter Location, Communication Systems
  • Detection Theory

    • USD800
    • Duration: 20 hours
    • Delivery mode: Online
    • Group size: Individual
    • Instruction language: English
    • Certificate provided: No
    The goal of the course is to teach students the basics of detection theory.

    Course Contents:

    Review of random process, problem formulation and objective of signal detection and signal parameter estimation; Hypothesis testing: Neyman-Pearson, minimax, and Bayesian detection criteria; Randomized decision; Compound hypothesis testing; Locally and universally most powerful tests, generalized likelihood-ratio test; Chernoff bound, asymptotic relative efficiency;
  • Signals and Systems

    • USD1000
    • Duration: 30 hours
    • Delivery mode: Online
    • Group size: Individual
    • Instruction language: English
    • Certificate provided: No
    Course objectives:

    1. This gives the basics of Signals and Systems required for all Electrical Engineering related courses.
    2. To understand the behavior of signals in the time and frequency domain.
    3. To understand the characteristics of LTI systems.
    4. Analyze the signals with different transform techniques.

    Course contents:
    1. Signal Representation
    2. System Classification
    3. Singularity Functions
    4. Convolution
    5. Fourier Series and Applications to Electric Circuits
    6. Fourier Transforms
    7. Nyquist Sampling Theorem
    8. Fourier Analysis of Discrete Systems
    9. Laplace Transforms, Transfer Functions and Applications to Electric Circuits
    10. Discrete-Time Systems and Z-Transforms
    11. Digital Computer Simulation Using MATLAB

8 Reviews
5 out of 5

User Photo May 22, 2021

Clever and a good person

He’s an intelligent person. Loved his support!


User Photo December 12, 2020

Punctual and helpful

This tutor was very helpful and really cared about my studies.


User Photo December 12, 2020
Payment verified US$ 40

punctual and successful

this trainer will benefit you in matters.


User Photo December 10, 2020

Excellent trainer

Well organized, punctual and knowledgeable trainer


User Photo December 10, 2020

Clever and good person

He can deal with any subject or problem in communications ?


User Photo December 9, 2020

very well in signal and system

You can find him to solve your electronic problem, he can do a great job. Thanks


User Photo December 6, 2020

Very helpful

A very helpful tutor!


User Photo December 5, 2020

One of the best

One of the best helpers i have ever met