Seven research projects, three IEEE conference publications, 15+ citations — spanning cybersecurity, IoT, UX analytics, and public policy.
Who: Gyanesh Samanta — Product Manager, Developer, and Researcher. What: A central archive of academic research papers and quantitative explorations across cybersecurity, IoT, UX analytics, and public policy. When: Papers span 2022–2025; archive is actively maintained. Where: Three works published / presented at IEEE-indexed international conferences (ICECAA, ICNWC, ICCP); others are working drafts. Why: To consolidate scattered research artifacts into one citable, browsable portfolio that demonstrates rigor across disparate domains.
Research, like product, is about asking the right question. This portfolio reflects an attempt to ask sharp questions across very different fields:
- Can we predict spyware before it executes? — Pegasus Attack System (ICECAA 2023, 10 citations)
- Can NFT prices be modeled with metadata alone? — NFT Marketplace (ICNWC 2023, 5 citations)
- Can biology secure IoT? — DNAIoT (ICCP 2022)
- Does UX investment actually reduce churn? — B2B SaaS UI UX: yes — by ~23% (hazard ratio reduction, survival analysis on 200+ enterprise users)
- Is the NYPD's stop data demographically biased? — NYC Shootings statistical study
Across the seven projects, the methodological core is consistent: real datasets, statistical rigor (survival analysis, ROC-AUC, hazard ratios), and a published or presentable artifact at the end.
| Year | Venue | Paper | Citations |
|---|---|---|---|
| 2023 | ICECAA | Pegasus spyware: A vulnerable behaviour-based attack system | 10 |
| 2023 | ICNWC | NFT marketplace with predictive analytics | 5 |
| 2022 | ICCP | DNAIoT — Dynamic Network Architecture for IoT | – |
| Project | Domain | Highlight |
|---|---|---|
| B2B SaaS UI UX | Product Analytics | UX investment reduces churn ~23% |
| Pegasus Attack System | Cybersecurity | ICECAA 2023, 10 citations |
| DNAIoT | IoT Security | DNA computing for IoT (ICCP 2022) |
| NFTs | Data Science | Predictive NFT value modeling (ICNWC 2023) |
| LaDe | Network Defense | Layered Defense mechanisms |
| NYC Shootings | Public Policy | NYPD demographic disparity study |
| PDT Breach & Mitigation | Logistics | Promise Delivery Time optimization |
- Languages: Python, R, SQL
- Analytics: scikit-learn, pandas, Lifelines (survival analysis)
- Visualization: Seaborn, Plotly, Matplotlib
- Research tooling: LaTeX, Jupyter, Zotero
- Domain methods: DNA computing, hazard-ratio modeling, ROC-AUC, System Usability Scale (SUS)
Research-Papers/
├── B2B SaaS UI UX/
├── DNAIoT/
├── LaDe/
├── NFTs/
├── NYC Shootings Xavier Law Conference/
├── PDT Breach and Mitigation/
├── Pegasus An Attack System Artemis/
├── LICENSE
└── README.md
git clone https://github.com/GyaneshSamanta/Research-Papers.git
cd Research-PapersEach subdirectory contains its own paper PDF / DOCX, datasets, and (where applicable) analysis scripts. Open the directory matching the topic of interest.
This is an authored research archive — direct PRs aren't expected. Feedback, replication attempts, and collaboration inquiries are welcome via Issues or LinkedIn.
See LICENSE. Papers retain their respective publisher copyrights where applicable.
Authored by Gyanesh Samanta (@GyaneshSamanta). Connect via LinkedIn or email.