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Mr Nikesh Bajaj

Nikesh

Email: n.bajaj@qmul.ac.uk
Room Number: Peter Landin, CS 400
Website: http://nikeshbajaj.in

Teaching

Data Analytics (Postgraduate)

This module focuses on the range of approaches, methodologies, techniques and tools for data analysis, and the use of data analysis findings to inform decision-making in an industrial / business context. It exposes students to a range of industry-standard statistical and data analysis techniques and tools, and fosters awareness of the challenges associated with working with large datasets. The module also covers topics related to the legal, social, ethical and professional issues associated with data storage and analysis. Students will undertake practical work including empirical data analysis and summarisation / presentation of the results to a range of relevant stakeholders.

Digital Signal Processing (Undergraduate)

This is a Level 6 module, which builds upon the signal processing theory introduced in ELE374, Signals and Systems Theory. The main part of the module covers the theory of digital signal processing techniques and digital filter design. The module concludes with an examination of some applications of digital signal processing.

Fundamentals of DSP (Postgraduate)

Introduction: Why DSP, sampling, quantization, Signals, LTI systems, Z transforms and polynomials, DFT, FFT, Spectrum Analysis, FIR filters, IIR filters

Security Engineering (Undergraduate)

Cyber-security is an indispensable requisite of any IT-dependent enterprise and critical knowledge and skills in security is in increasing demand. This module emphasizes on cyber security engineering, and will cover a broad range of cyber security fundamentals, including major concepts, security requirements, practices, technologies and policies. Weekly labs will deliver a range of skills in enforcing security requirements, performing system evaluation and mitigating common vulnerabilities.

Signals and Systems Theory (Undergraduate)

This module stresses the appreciation and use of certain transform techniques in the analysis of signals, and their related systems. Emphasis is placed on Fourier methods within the context of continuous time signals and signal processing, and the use of linear difference equations and Z transforms when signals are discrete.

Research

Research Interests:

My research focus is Machine Learning & Signal Processing. My supervisor at QMUL is Jesús Requena Carrión and at Unige is Francesco Bellotti I am currently working on EEG signals for Cognitive Attention, more specifically Auditory Attention. Investigation of auditory attention will help to understand, how brain process auditory stimuli for attention, which can further be used for BCI (Brain Computer Interface) applications.

Publications

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