Meet ApplyKite Twin, the application assistant that learns with you

Meet your Twin, it learns with you

Your Twin learns with you

Launch week codes:30% off annual Pro20% off monthly Pro

Ends in00h00m00s

Cristian Randieri

Professor & Researcher

eCampus University

Italy

Research Interests

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Explore related searches

Professors in Italy Professors in Medical Imaging Medical Imaging professors in Italy

About

Dr. Cristian Randieri is a Professor and Researcher at eCampus University in Italy. His research areas include cybersecurity, artificial intelligence, and advanced detection techniques, as evidenced by his recent publications on fingerprint liveness detection, cyber resilience in industrial control systems, and UAV technology. Dr. Randieri is committed to advancing innovative solutions in the fields of machine learning and computer vision.

Articles (10)

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Collaborators (2)

Emanuele Frontoni

Full Professor of Computer Science

University of Macerata

ITALY

View details

Rayappa David Amar Raj

National Institute of Technology Warangal

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Cristian Randieri

Research Interests

Make your next move.

Explore related searches

About

Articles (10)

TL-Efficient-SE: A Transfer Learning-Based Attention-Enhanced Model for Fingerprint Liveness Detection Across Multi-Sensor Spoof Attacks

AI-Driven Attack Detection and Cryptographic Privacy Protection for Cyber-Resilient Industrial Control Systems

BESS-Enabled Smart Grid Environments: A Comprehensive Framework for Cyber Threat Classification, Cybersecurity, and Operational Resilience

DPIBP: Dining Philosophers Problem-Inspired Binary Patterns for Facial Expression Recognition

Aerial Autonomy Under Adversity: Advances in Obstacle and Aircraft Detection Techniques for Unmanned Aerial Vehicles

CNN-Based Framework for Classifying COVID-19, Pneumonia, and Normal Chest X-Rays

Flight-Safe Inference: SVD-Compressed LSTM Acceleration for Real-Time UAV Engine Monitoring Using Custom FPGA Hardware Architecture

Dataset Dependency in CNN-Based Copy-Move Forgery Detection: A Multi-Dataset Comparative Analysis

Dataset Dependency in CNN-Based Copy-Move Forgery Detection: A Multi-Dataset Comparative Analysis

Smart Glove: A Cost-Effective and Intuitive Interface for Advanced Drone Control

Collaborators (2)

Emanuele Frontoni

Rayappa David Amar Raj

Make your next move.