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

Mehrdad Rostami

Researcher

University of Oulu

Finland

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 Finland Professors in Food Science Food Science professors in Finland

Articles (14)

Year:

2026

Year:

2026

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2024

Year:

2024

Year:

2024

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Collaborators (9)

Damian Garber

Graz University of Technology

AUSTRIA

View details

Timo Jämsä

Professor in Medical Technology

University of Oulu

FINLAND

View details

Alexander Felfernig

Professor

Graz University of Technology

AUSTRIA

View details

Mourad Oussalah

Senior Research Fellow / Prof

University of Oulu

FINLAND

View details

Mahdi Jalili

RMIT University

AUSTRALIA

View details

kamal berahmand

RMIT University

AUSTRALIA

View details

Raija Korpelainen

University of Oulu

FINLAND

View details

Vahid Farrahi

University of Oulu

FINLAND

View details

Maisa Niemelä

Senior research fellow

University of Oulu

FINLAND

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Mehrdad Rostami

Research Interests

Make your next move.

Explore related searches

Articles (14)

When Do Contrastive Explanations Really Matter in Recommender Systems?

XFoodRec: An Explainable Mobile Recommender for Personalized Healthy Eating

Recommender Systems Based on Nonnegative Matrix Factorization: A Survey

Recommender Systems for Sustainable Development through Responsible Nudging

HealthHub: A Hybrid?Intelligence Meta?App for Personalized, Sustainable Food Choices with Adaptive Nudging

SMARTFOOD: An LLM-Driven Ubiquitous Mobile App for Context-Aware Restaurant Recommendation

A novel physical activity recognition approach using deep ensemble optimized transformers and reinforcement learning

A novel healthy food recommendation to user groups based on a deep social community detection approach

Emotional Insights for Food Recommendations

Replacing sedentary time with physical activity and sleep: Associations with cardiometabolic health markers in adults

A novel healthy and time-aware food recommender system using attributed community detection

Community Detection Algorithms in Healthcare Applications: A Systematic Review

AccNet24: A deep learning framework for classifying 24-hour activity behaviours from wrist-worn accelerometer data under free-living environments

Towards Health-Aware Fairness in Food Recipe Recommendation

Collaborators (9)

Damian Garber

Timo Jämsä

Alexander Felfernig

Mourad Oussalah

Mahdi Jalili

kamal berahmand

Raija Korpelainen

Vahid Farrahi

Maisa Niemelä

Make your next move.