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Currently : PhD Student

  • PhD in Signal Processing and Machine Learning, in a Joint Program at Center of Intelligent Sensing, EECS, Queen Mary University of London, UK & Elios Lab, DITEN, University of Genova, Italy. Working on‘Predictive analysis of auditory attention from physiological signals’.
  • PhD project work is hosted at : https://phyaat.github.io

Wheelhouse : Machine Learning & Signal Processing

Challenges & Competitions
Data Study Groups:
  • A week-long event worked with a team for Urban Analytics posed by Defense Science and Technology Laboratory (DSTL) at The Alan Turing Institute, London. 22-26 May 2017. Blog about it can be seen here.
  •  An extensive week-long work on health care project – Predicting Language Outcome and Recovery After Stroke (PLORAS), a problem was posed by University College London at The Alan Turing Institute, London. 16-20 April 2018.
Certificates and Courses:
  • I have done several online/offline courses in signal processing and machine learning including, Deep Learning Specialization, Neural Network for Machine Learning, Probabilistic Graphical Models, and others, a list is shown in the Courses section.
Seminar:
  • Presented seminar on ‘Ensemble approaches for classification and regression’ in summer school – Machine Learning: A computational Intelligent Approach, University of Genoa, Italy. The presentation can be found here.
Training:
Tools and Languages:
  • Python (matplotlib, numpy, scipy, pandas, scikit-learn, scikit-Image, TensorFlow, Keras), R, Matlab, C#, Java, P5js (Javascript), Chuck (Music programming language) – GithubRepo, Python ditribuation at PyPI
  • PyPI projects: Regularization methods for machine learning – regml: ‘pip install regml’ , Signal processing toolki -spkit: ‘pip install spkit’, LFSR-pylfsr: ‘pip install pylfsr’
Coursera mentor:

Experience:

Teaching:

    – Teaching Assistant at Queen Mary University of London:

  • Digital Signal processing -2017/18
  • Coding for Scientist – 2017/18
  • Data Analytics – 2017/18
  • Signals and Systems Theory -2017/18
  • Security Engineering -2017/18

    –  Assistant Professor (Lecturer):

  • July 2010 – Nov 2015 :  Worked as Asst. Professor for School of Electronics and Communication at Lovely Professional University (India).

    – Teaching Assistant at Aligarh Muslim University:

  • Microprocessors & Microcontrollors – 2009
  • Radar Communication -2010

Other:

  • Oct 2006 – July 2008  :  Worked at Colwell & Salmon Communication, Noida (India) from Oct 2006 till July 2008
  • 2005 – 2006: Worked in BPOs

Education:

  • Masters in Technology (M.Tech) in Communication & Information Systems from Aligarh Muslim University
  • Bachelors in Technology in Electronics and Telecommunication Engineering from IETE – Institutions of Electronics and Telecommunications Engineering, New Delhi (India).

Grants:

  • JD-ICE- Joint Doctoral Course in Interactive and Cognitive Environment program for PhD between Queen Mary University of London & University of Genoa.
  • Ministry of Human Resource Development (MHRD), Government of India -funding for masters

Awards & Honors:

  • Best Faculty Award 2014-2015 – Received Best Faculty award for outstanding performance by Cognizant Technology Solution
  • Best Faculty Facilitator Award 2015  – for being facilitator for ‘Uttara-Scientia Divina’ -Student Organization at LPU
  • Best Student Award at Sunrays Children High School, Itarsi, M.P. (India), 1999
  • Second Prize in ‘Hindi Gyan Pariksha’ by Akshar karmi Swayam Seva Santha on Hindi Diwas, 1997

Tests:

  • Graduate Aptitude Test in Engineering: GATE-2010, 2008, 2007, 2006 Qualified. GATE is conducted by Indian Institutes of Technology (IITD, IITB, IITK), that led to MHRD funding for Masters in Technology in India.
  • IELTS qualified.

Member

  • Associate Member of Institute of Electronics and Telecommunication Engineering – IETE, New Delhi (India)

Participations

  • Faculty Development Program on Business Analytics in May 2014 by Cognizant Technology Services.
  • Indian Robot Olympiad IRO- 2012 as a coach for a team.

Courses taken Online/Offline:

Machine Learning

  • Machine Learning (Coursera)
  • Probabilistic Graphical Models 1 (Coursera)
  • Neural Network for Machine Learning (Coursera)
  • Statistical Learning (Stanford Online)
  • Machine Learning for Musicians and Artists (Kadenze)
  • Regularization Methods for Machine Learning (Unige)
  • Machine Learning: A Computational Intelligent Approach (Unige)
  • Data Fusion and Bayesian Network (Unige)

Deep Learning specialization

  • Neural Network and Deep Learning
  • Improving Deep Neural Networks: Tuning Hyperparameters
  • Structuring Machine Learning Projects
  • Convolutional Neural Networks
  • Sequence Models

Signal processing

  • Digital Signal Processing (Coursera)
  • Audio Signal Processing for Music Applications (Coursera)
  • Image and video processing (Coursera)
  • Introduction to Digital Sound Design (Coursera)
  • Computer Vision (Coursera)
  • Computational photography (Coursera)

Fundamental courses and other courses for Fun

  • Cryptography -I (Coursera)
  • Applied Cryptography, Science of Secretes (Udacity)
  • Control of Mobile Robots (Coursera)
  • An Introduction to Interactive Programming in Python (Coursera)
  • Learn To Program: Fundamental (Coursera)
  • The Data Scientist’s Toolbox (Coursera)
  • Algorithms: Design and Analysis, Part 1 (Coursera)
  • Engineering Self-Reflection for Human Completion (Coursera)
  • The Nature of Code (Kadenze)
  • Introduction to Programming for the Visual Arts (Kadenze)
  • Java Tutorial for Complete Beginners (Udemy)

 

Profile links:

Publications
QMUL page


ICEPhD profile
0000-0002-3361-0118
dblp publication list

researchgate

Projects distributed with python PyPI
Github Page: https://nikehsbajaj.github.io
kaggle
Kaggle Profile
github-logo
Github profile
Coursera profile
Coursera mentor profile
Matlab Codes
Youtube Channel

CV (Download)