Gurpreet Gosal - Cerebras Systems | LinkedIn (original) (raw)
About
Programming: C/C++, Python, Java, R, Matlab, Unix, object oriented design, parallel…
Experience & Education
Cerebras Systems
View Gurpreet’s full experience
See their title, tenure and more.
Licenses & Certifications
Volunteer Experience
Project Assistant
IEEE
Nov 2013 - Present11 years 1 month
Science and Technology
Open Source Radar Imaging System for Avalanche Detection and Rescue Operations
Volunteer Antennas and Propagation Society
IEEE Ottawa Section
Sep 2013 - Present11 years 3 months
Education
Publications
IEEE Antenna and Propagation Society (APS) Symposium, Memphis, TN, USA Jul 2014
The design of transmitarray antennas usually utilizes a database consisting of the complex transmission coefficient values of an element as a function of its controllable geometrical features. In the design process this database needs to be “inverted” so that transmission coefficients can be input and geometrical feature values output. When more than one such feature applies the latter process is not entirely straightforward, but inverse neural networks can be used for such purposes.
Other authors
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Courses
Antennas & Arrays
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Artificial Intelligence
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Computational methods for RF Circuit Simulation
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Computer Architecture
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Finite Element Method in EM
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Fundamentals of Optimization
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Method of Moment in EM
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Neural Networks in RF and MW design
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Numerical Analysis
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Numerical Methods in Electromagnetics (Method of Lines, FDTD, FD)
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Numerical Solutions of PDEs
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Statistical Learning- Classification
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Statistical Learning- Function Estimation
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Projects
Generalized Additive Models for prediction of remote server usage in user mode.
Mar 2016
Implemented generalized additive model (gam) in a regression problem to predict the server CPU usage in user mode given various performance parameters of the processor.
Used loon (data visualization tool in R) for visualization and applied power transformation to obtain linear relationship between two explanatory variates.
Classified the data set into two ranges of performance parameters given the corresponding cpu usage.
Tools used: Unix, Python, Matlab, R
Applied Ensemble learning algorithm to augment classification algorithms
Nov 2015
Implemented ensemble learning, boosting approach, to improve decision tree algorithm in a text classification in the context of spam filtering for emails.
Neural Network Modelling for interpolation and generation of a database of Scattering Parameters required in the design of 3-d Lens Antenna
Feb 2013
Lens Antennas Arrays are conventionally designed utilizing periodic structure analysis. Finite Element Method, MoM or Finite Difference Time Domain method simulators can perform this task to a very high degree of accuracy but the problem size is computationally very expensive. Thus, techniques like Neural Network modelling of EM structures come into play as, instead of meshing the whole problem domain and solving for fields, it actually uses already solved fields at discrete points in the…
Lens Antennas Arrays are conventionally designed utilizing periodic structure analysis. Finite Element Method, MoM or Finite Difference Time Domain method simulators can perform this task to a very high degree of accuracy but the problem size is computationally very expensive. Thus, techniques like Neural Network modelling of EM structures come into play as, instead of meshing the whole problem domain and solving for fields, it actually uses already solved fields at discrete points in the domain and interpolates these curves in virtually unknown regions of design variables. Artificial Neural Network is nothing but to optimize weight parameters for each term of a summation of Gaussian function.
Robust Linear Regression Modelling for Location Determination.
Feb 2016 - Mar 2016
Worked on 'Finding Waldo' dataset wherein the goal was to predict (x,y) location of Waldo on a 2 page spread given a training dataset containing (x,y) locations of Waldo spotted in various pages of different books.
Applied robust regression model using Tuckey's Bisquared weighting function to limit the impact of outliers on the regression model.
What's Cooking
Oct 2015 - Dec 2015
Kaggle Competition.
Worked on a natural language processing (NLP) problem. Objective was to classify a dataset of cooking ingredients where each sample is recipe from a particular cuisine (label) and based upon the label we had to classify each recipe to the cuisine it belongs to.
Honors & Awards
Faculty of Math Graduate Award
Faculty of Math
Jan 2016
Graduate Experience Award
Faculty of Mathematics
Sep 2015
Master's student admission scholarship
Faculty of Graduate Studies, University of Waterloo
Sep 2015
Graduate Studies Excellence Award
Faculty of Engineering,
Nov 2014
Faculty of Engineering at University of Ottawa recognized students holding external scholarships and awards.
Conference Travel Award
Faculty of Graduate and Postdoctoral Studies, University of Ottawa
Jul 2014
IEEE Research Poster Contest 1st Prize
IEEE Ottawa
Mar 2014
Won 1st Prize at Graduate Research Day Poster Competition held at University of Ottawa
Languages
English
Full professional proficiency
French
Elementary proficiency
Punjabi
Full professional proficiency
Hindi
Full professional proficiency
Organizations
IEEE University of Ottawa Photonics Chapter
Vice Chair
Mar 2014 - Present
IEEE Canada Humanitarian Initiative Committee
Project Assistant, Volunteer
Nov 2013 - Present
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