Research programme

Projects & research.

Research studies, software and prototypes from across the NPerseus team.

Projects across the team

Research studies, prototypes and software described in public profiles. Status, roles and funding follow each source record; a profile entry does not by itself establish a released product.

Applications, tools, plugins and prototypes members have built. Engineering evidence, kept apart from the research record.

42 matching software project records · Page 1 of 4

Member project Software

AI Desktop Voice Assistant

Mohammad Aakil

developed a voice-driven desktop assistant integrating automation and information-retrieval tasks.

Link to this project
Member project Software

AI-Powered Metro Train Operations Management System (2025)

Shaili Bansal

a prototype integrating Excel, PDF and CSV operational data, train-readiness dashboards and train-induction scheduling.

Link to this project
Member project Software

Attendance platform

Ayush Kumar

Built an attendance and organization-management platform with mobile and kiosk clients, an administrative dashboard and backend services.

Link to this project
Member project Software

Carotid Artery Segmentation

Ajit Kumar Yadav

public TensorFlow/Keras U-Net notebook for ultrasound-image segmentation.

Link to this project
Member project Software

ContextGuard

Ayush Kumar

Built ContextGuard, a device-access control project spanning mobile apps, an administrative interface and smart-contract components, following an earlier native Android app-blocking prototype.

Link to this project
Member project Software

CryptoScore (BlockCreditScore)

Ayush Kumar

TypeScript, React and Express prototype for exploring Ethereum wallet activity through transaction analysis, scoring rules and dashboards; not a validated credit-rating service.

Link to this projectPublic repository ↗
Member project Software

Dockingcode (DocingCodeV1)

Ayush Kumar

React and Node.js documentation prototype that analyses repository source, generates AI-assisted descriptions and publishes them to a GitHub wiki with progress updates.

Link to this projectPublic repository ↗
Member project Software

DTU Research Portal (historical)

Ayush Kumar

contributed to a React and Express paper-submission and review-workflow application; its repository explicitly marks the project abandoned and no longer maintained.

Link to this projectPublic repository ↗
Member project Software

Embotic Android app (historical contribution)

Ayush Kumar

contributed Kotlin application and layout changes to a hosting-services app; its repository explicitly marks the project abandoned.

Link to this projectPublic repository ↗
Member project Software

Esperal

Ayush Kumar

Developing Esperal, an offline single-player game, using third-party tools and libraries. The game is in development.

Link to this project
Member project Software

Exchange-platform customization

Ayush Kumar

Implemented forex-pair administration features, including backend APIs, a database model and an admin interface, within a Bicrypto-based exchange platform.

Link to this project
Member project Software

Flexi-Store learning prototype

Ayush Kumar

Learning/prototype experiment using the Flexi-Store Kotlin e-commerce client, administration and backend components.

Link to this project
Browse all 74 profile project records
Explore the research areas that connect this work.

Security of Neural Networks

Defending deep models against adversarial examples, backdoor and data-poisoning attacks — and understanding when and why they fail.

Adversarial MLBackdoor DefenseRobustness

Data Hiding & Watermarking

Reversible data hiding in encrypted images, image and text steganography, and robust watermarking for ownership and integrity.

Reversible Data HidingSteganographyWatermarking

Multimedia Forensics

Detecting manipulated and GAN-generated media — deepfakes, splicing and median-filtering traces.

Deepfake DetectionImage ForensicsAuthenticity

Trustworthy & Private AI

Federated and privacy-preserving learning, explainable and trustworthy models, and methods for limiting the disclosure of training data.

Federated LearningExplainable AIPrivacy