Sahil Ali

Education

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  Vellore Institute of Technology

  2016 - 2020

  Bachelor of Technology - BTech Computer Science 8.08

  My BTech dissertation tackled the iconic Traveling Salesman Problem (TSP) by proposing novel hybrid algorithms based on Particle Swarm Optimization (PSO). Key achievements include:-- Developed two bio-inspired algorithms, ESAPSO and ISAPSO, to improve solution quality and convergence speed.-- Hybridized PSO with other techniques for greater efficiency in finding optimal routes.-- Designed tests and metrics to evaluate algorithm performance specific to TSP.-- Implemented both… Show more My BTech dissertation tackled the iconic Traveling Salesman Problem (TSP) by proposing novel hybrid algorithms based on Particle Swarm Optimization (PSO). Key achievements include:-- Developed two bio-inspired algorithms, ESAPSO and ISAPSO, to improve solution quality and convergence speed.-- Hybridized PSO with other techniques for greater efficiency in finding optimal routes.-- Designed tests and metrics to evaluate algorithm performance specific to TSP.-- Implemented both algorithms in Python using Google Colab and created a GUI simulator to visualize route selection.-- Conducted a comprehensive literature review of existing TSP solutions and compared ESAPSO and ISAPSO against standard PSO through four detailed analyses. Show less

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  Jadavpur University, Kolkata

  2021 - 2023

  Master of Engineering - MEng (Discontinued) Computer Software Engineering 7.86

  Thesis -- Audio Steganography using LSB Substitution (Grade - S)-- Designed and implemented a Python-based audio steganography application using LSB encoding.-- Supported multiple audio formats (WAV, FLAC, M4A(ALAC)).-- Enabled flexible embedding of secret text with multiple-bit options.-- Conducted comprehensive performance evaluation and benchmarking against existing tools.-- Demonstrated competitive embedding capacity.-- Identified areas for future improvement and… Show more Thesis -- Audio Steganography using LSB Substitution (Grade - S)-- Designed and implemented a Python-based audio steganography application using LSB encoding.-- Supported multiple audio formats (WAV, FLAC, M4A(ALAC)).-- Enabled flexible embedding of secret text with multiple-bit options.-- Conducted comprehensive performance evaluation and benchmarking against existing tools.-- Demonstrated competitive embedding capacity.-- Identified areas for future improvement and potential extensions.-- Performed thorough literature review of audio steganography techniques. Show less