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Kishore Shanto

/kɪˈʃɔːr ˈʃan.to/

Researcher and Developer

Actively seeking a Master's/PhD opportunity to contribute to pioneering research.


Interests and Passion

Deep Learning

Computer Vision

LLMs and Multi-agent CoT Models

Biomedical Signal Processing

Computational Neuroscience

Languages

🇺🇸 English (CEFR C1)

🇫🇷 French (Beginner)

🇧🇩 Bengali (Native)

BD DAC

08:43 (UTC GMT+06:00)

Technical Research Report
Independent Study

Classification of Upper Limb Motor Movements Using EEG Signals

Overview

Currently researching a deep learning approach to classify upper limb motor movement using electroencephalogram signal data for brain-computer interface applications.

Research Focus Areas / Keywords

Brain-Computer Interface Biomedical Signal Processing Deep Learning Networks Motor Imagery Classification

Ongoing Research

Self-initiated independent study

Started: February 2025
Q1 Journal Publication
Elsevier • IF: 4.5 (Jul 2025)

Vision Transformer Embedded Video Anomaly Detection with Attention Driven Recurrence

Array Elsevier

Overview

Researched a real-time anomaly detection system using Vision Transformers and an attention-enhanced network in long surveillance footage.

Q1 Quartile Journal

Top-tier academic publication

Research Focus Areas / Keywords

Computer Vision Video Anomaly Detection Vision Transformer Simple Recurrent Unit Plus Plus (SRU++) Spatio-Temporal Feature Analysis
DOI:

10.1016/j.array.2025.100471

Duration: 18 months
Conference Publication
ACM ICCA 2025 [Open Access]

A Deep Learning based Approach for Automated Defect Detection of Fabrics in Garment Production Line

ACM Conference ICCA — 2024

Overview

Researched and implemented a deep learning solution for identifying and localizing defects in fabrics, using the YOLOv8.

Research Focus Areas / Keywords

Computer Vision YOLOv8 Automation
DOI:

10.1145/3723178.3723196

Duration: 6 months
Q1 Journal Publication
Elsevier • IF: 6.3 (Jul 2025)

Combined Support Vector Machine and Gradient Boosting Decision Tree Framework for efficient snoRNA disease association prediction

Computers in Biology and Medicine Elsevier

Overview

Researched a novel machine learning approach for predicting the correlation between various snoRNA and diseases in human body using combined SVM and GBDT framework.

Q1 Quartile Journal

Top-tier academic publication

Research Focus Areas / Keywords

Computational Biology Bioinformatics snoRNA-Disease Association Prediction Gradient Boosting Decision Tree (GBDT) Gaussian Kernel Similarity
DOI:

10.1016/j.compbiomed.2025.110219

Duration: 14 months
Technical Research Report
Independent Study

A Deep Learning Approach to Assess Password Strength, Compromise Likelihood, and Time-to-Crack Estimation

Overview

Researched a GPT-2 based deep learning model for password strength estimation via sequence analysis and perplexity scoring on real-world leaked datasets

Research Focus Areas / Keywords

Generative Pretrained Transformer Computer Security
Duration: 3 months

Bachelor of Computer Science and Engineering

Major in Data Science • With Thesis

United International University

Madani Avenue, Badda, Dhaka 1212, Bangladesh

Aggregate Percentage Result

90.1 / 100%

Graduated with Honors
Technical Research Report
University Research Project

A Detailed Energy Footprint Evaluation of Python and R in Computationally Intensive Statistical and Machine Learning Tasks

Overview

Researched a novel approach to effectively measure the energy consumption and energy footprint for statistical and machine learning tasks of major operating systems using Python and R language.

Research Focus Areas / Keywords

ARM processor Energy Efficiency Machine Learning x64 Platform Power Consumption Python R Language Statistical Analysis
Duration: 5 months

Cloud Solutions Architect

Freelance • Australia (Remote)

Duration: 6 months

Overview

Architected and deployed a comprehensive AWS cloud infrastructure for a growing Australian tech startup, delivering scalable, secure, and highly available solutions that enabled seamless business growth and operational efficiency.

Tech Stack

AWS Cloud
EC2
VPC
ELB
Auto Scaling
IAM

Key Deliverables

Multi-AZ Infrastructure Design
Security & Compliance Setup
Auto-Scaling Implementation
Social Survey
University Study

University Social Survey on Youth Cyber Safety

Overview

Conducted comprehensive interviews to gather qualitative data on personal experiences, performed data preprocessing and statistical analysis to identify key trends, and contributed to developing solutions aimed at enhancing the well-being of young people in digital environments.

Role

Interviewer Data Manager Data Analyst (Chi-Square, Paired T-Test)

Key Research Contributions:

Investigated cybersecurity measures, content moderation, and educational resources effectiveness in protecting youth (ages 16-30) from online risks
Conducted mixed-methods study with anonymous online surveys and semi-structured interviews (60 participants each interviewer)
Performed statistical analysis including Chi-Square and paired t-tests, plus thematic analysis for qualitative insights
Identified key platforms (Facebook, Instagram) associated with cyberbullying and developed multi-faceted prevention strategies
Duration: 3 months
Report Confidential
Conference Publication
IEEE ICCIT 2023

Ameliorating Random Forest Performance through Data Clustering for Big Data Classification

IEEE Xplore Conference ICCIT — 2023

Overview

Researched combining Random Forest with K-Means clustering to improve classification performance for Big Data mining applications.

Research Focus Areas / Keywords

Machine Learning Random Forest Decision Tree K-means Clustering Big Data
DOI:

10.1109/ICCIT60459.2023.10441376

Research Duration: 6 months
Team project
University Project Showcase 233

Agri-Inn

Full-Stack Web Application Team Lead & Lead Developer

Project Overview

A comprehensive web application integrating farm management systems to connect customers directly with farm products, streamlining agricultural commerce and supply chain management.

🥉 2nd Runner Up - CSE Project Show 232

United International University

Technical Innovation

Hybrid Authentication System JWT + Session ID Farm-to-Customer Direct

Technology Stack

Svelte TypeScript REST API MongoDB Vercel
Role: Team Leader & Lead Developer
Award: 2nd Runner Up (2nd Place)
Duration: 4 months
Team project
University Project Showcase 232

Plantify

Full-Stack Web Application Team Lead & Designer

Project Overview

A comprehensive plant information and management system featuring detailed species information, care guidelines, disease identification, user experience sharing, and plant identification capabilities with integrated gardening supply access.

🥈 1st Runner Up - CSE Project Showcase 232

United International University

Technology Stack

Svelte TypeScript MongoDB MongoDB Atlas Vercel
Role: Team Leader & UI Designer
Award: 1st Runner Up (2nd Place)
Duration: 5 months
Team Project
University Project Showcase 231

LandSphere

Full-Stack Web Application Team Lead & Designer

Project Overview

A comprehensive web platform that streamlines land and property management, facilitating seamless interactions between property owners, buyers, and sellers with modern web technologies.

🏆 Champion - CSE Project Showcase 231

United International University

Technology Stack

PHP HTML Tailwind CSS JavaScript
Role: Team Leader & UI Designer
Award: Champion (1st Place)
Duration: 4.5 months

Laboratory Assistant

University Position • Academic Support

Duration: 10 months

Overview

Provided comprehensive academic and technical support to instructors and students in university laboratory settings, troubleshooting equipment issues, facilitating student assessments, and ensuring smooth laboratory operations across multiple academic programs.

Key Responsibilities

Laboratory Equipment Management
Student Assessment Support
Technical Troubleshooting
Instructor Collaboration

Skills Developed

Problem Solving & Student Monitoring
Equipment Maintenance
Academic Support
Time Management & Communication