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Research Laboratory

Published AI Research.

Research spanning Machine Learning, Deep Learning, Computer Vision, and NLP — published in top-tier Q1 journals and IEEE international conferences.

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Publications
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Conferences/Journals
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Q1 Journal
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IEEE Paper

What I investigate.

🤖

Machine Learning

Predictive modeling, classification, feature engineering, and applying ML algorithms to real-world behavioral data and social media analytics.

Scikit-learnXGBoostBehavioral AI
👁️

Computer Vision

Deepfake detection, image classification, transfer learning with CNNs, and knowledge distillation for mobile/smartphone deployment.

CNNsTransfer LearningDeepfake
🧠

Deep Learning

Neural architectures, knowledge distillation for model compression, and lightweight networks for resource-constrained inference on edge devices.

PyTorchTensorFlowDistillation
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Natural Language Processing

Text classification, sentiment analysis, and computational behavioral analysis using NLP techniques on social media datasets.

TransformersBERTSentiment
⚛️

Quantum Computing

Quantum mechanics foundations and IBM QISKIT programming — certified with the prestigious Galileo Galilei Medal for quantum computing study.

IBM QISKITCOMSOLGalileo Medal
📊

Generative AI

Exploring generative models, large language models, and AI-driven content generation as a growing area of interest and application.

LLMsGenerative ModelsAI Agents

Peer-reviewed research papers.

2023

Predictive modeling of consumer purchase behavior on social media: Integrating theory of planned behavior and machine learning for actionable insights

Q1 Journal
Shadman Sakib Khan et al. · PLoS ONE · DOI: 10.17632/nzy5528nst.2 · December 2023
This study integrates the Theory of Planned Behavior (TPB) with machine learning models to predict consumer purchase intentions on social media platforms. The research provides actionable insights for marketers by identifying key behavioral predictors using supervised ML algorithms on real-world social media data.
Machine Learning Consumer Behavior Social Media Theory of Planned Behavior Read Paper →
2024

Smartphone-based Deepfake Detection Through Transfer Learning and Lightweight Knowledge Distillation Technique

IEEE
Shadman Sakib Khan et al. · 27th ICCIT 2024, IEEE · DOI: 10.1109/ICCIT64611.2024.11022522 · Published June 2025
A novel approach to deepfake detection optimized for smartphone deployment. The method combines transfer learning with lightweight knowledge distillation to achieve high accuracy deepfake identification while meeting the computational constraints of mobile devices — making real-time deepfake detection accessible on consumer hardware.
Computer Vision Deep Learning Knowledge Distillation Transfer Learning Deepfake Detection IEEE Xplore →

Academic excellence.

🏅

Cum Laude — NSU

Awarded the prestigious Cum Laude distinction by North South University for maintaining a CGPA of 3.5+ throughout the program. July 2023.

CGPA 3.58/4.00~89%
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Merit-Based Scholarship

Received a 25% tuition waiver from North South University for maintaining academic excellence (CGPA 3.5+) from June 2022 to June 2023.

25% WaiverNSU 2022–2023
⚛️

Galileo Galilei Medal

Earned the Galileo Galilei Medal for excellence in Quantum Mechanics & Quantum Computing (IBM QISKIT) — Dr. Mahdy Online Course. September 2022.

Quantum ComputingIBM QISKIT

Courses & certificates.

2024

BMEET Plus for Graduate Students

University of Miyazaki & JICA · 5th March 2024 · Japan
Graduate
2023

BMEET for University Students

University of Miyazaki & JICA · 8th December 2023 · Japan
University
2023

Research Methodology: Basic to Advanced

Research Help Bangladesh · 1st October 2023 · Bangladesh
Research
2022

Quantum Mechanics & Quantum Computing: COMSOL & IBM QISKIT

Dr. Mahdy Online Course · 3rd September 2022 · Bangladesh · Galileo Galilei Medal
🥇 Medal