A glimpse of what I have done over the time...

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17th July, 2025
Journal Publication

Elsevier • IF: 4.5 (Jul 2025)

Vision Transformer Embedded Video Anomaly Detection with Attention Driven Recurrence

Array • Elsevier
DOI: 10.1016/j.array.2025.100471

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 VisionVideo Anomaly DetectionVision TransformerSimple Recurrent Unit Plus Plus (SRU++)Spatio-Temporal Feature Analysis
10th June, 2025
Conference Publication

ACM ICCA 2025

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

ACM • Conference ICCA — 2024
DOI: 10.1145/3723178.3723196

Overview

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

Research Focus Areas / Keywords

Computer VisionYOLOv8Automation
2nd April, 2025
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
DOI: 10.1016/j.compbiomed.2025.110219

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 BiologyBioinformaticssnoRNA-Disease Association PredictionGradient Boosting Decision Tree (GBDT)Gaussian Kernel Similarity
27th February, 2025
Conference Publication

IEEE ICCIT 2023

Ameliorating Random Forest Performance through Data Clustering for Big Data Classification

IEEE Xplore • Conference ICCIT — 2023
DOI: 10.1109/ICCIT60459.2023.10441376

Overview

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

Research Focus Areas / Keywords

Machine LearningRandom ForestDecision TreeK-means ClusteringBig Data
23rd February, 2025
Research Report

Classification of Upper Limb Motor Movements Using EEG Signals

Independent Study • Ongoing

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 InterfaceBiomedical Signal ProcessingDeep Learning NetworksMotor Imagery Classification
6th September, 2024
Research Report

United International University

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

Independent Study • Completed
View Report

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 TransformerComputer SecurityPassword Strength EstimationNatural Language Processing (NLP)Perplexity Scoring
27th June, 2024
Research Report

United International University

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

University Research Project • Completed
View Report

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 processorEnergy EfficiencyMachine Learningx64 PlatformPower ConsumptionPythonR LanguageStatistical Analysis
16th May, 2024
Work Experience

Cloud Solutions Architect

Freelance • Australia (Remote)
Cloud Engineer

Scope of work

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.

Key deliverables

  1. Designed and implemented a secure and scalable AWS cloud infrastructure, utilizing services such as EC2, VPC, S3, ELB, RDS, Auto Scaling, and IAM.

  2. Migrated existing applications and databases to AWS, ensuring minimal downtime and data integrity throughout the process.

12th May, 2024
Work Experience

Social Survey Researcher on Youth Cyber Safety

Part-time • United International University
InterviewerData ManagerData Analyst

Scope of work

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.

Key deliverables

  1. Investigated cybersecurity measures, content moderation, and educational resources effectiveness in protecting youth (ages 16-30) from online risks

  2. Conducted mixed-methods study with anonymous online surveys and semi-structured interviews (60 participants each interviewer)

  3. Performed statistical analysis including Chi-Square and paired t-tests, plus thematic analysis for qualitative insights

  4. Identified key platforms (Facebook, Instagram) associated with cyberbullying and developed multi-faceted prevention strategies

3rd April, 2024
Work Experience

Laboratory Assistant

Part-time • United International University
Laboratory Assistant

Scope of work

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 deliverables

  1. Managed and maintained laboratory equipment, ensuring all devices were in optimal working condition for student use.

  2. Provided technical support and troubleshooting assistance to students during laboratory sessions, fostering a conducive learning environment.

  3. Assisted instructors in monitoring student progress and performance during lab activities, contributing to effective student assessments.

Kishore Shanto (/kɪˈʃɔːr ˈʃan.to/)

This portfolio is designed as a warm, readable home for my work, stories, and experiments.

Updated on May 10, 2026 v2.1.0 (b2907e1)

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