Fatemeh Lotfi

University of Colorado Colorado Springs

H-index: 3

North America-United States

About Fatemeh Lotfi

Fatemeh Lotfi, With an exceptional h-index of 3 and a recent h-index of 3 (since 2020), a distinguished researcher at University of Colorado Colorado Springs, specializes in the field of Open RAN, Next Generation Wireless Communication 6G, Semantic Communication, Machine Learning, Deep RL.

His recent articles reflect a diverse array of research interests and contributions to the field:

Attention-based open RAN slice management using deep reinforcement learning

Open RAN LSTM Traffic Prediction and Slice Management using Deep Reinforcement Learning

Joint Path planning and Power Allocation of a Cellular-Connected UAV using Apprenticeship Learning via Deep Inverse Reinforcement Learning

Triplet loss-less center loss sampling strategies in facial expression recognition scenarios

Evolutionary deep reinforcement learning for dynamic slice management in O-RAN

Semantic-Aware Collaborative Deep Reinforcement Learning Over Wireless Cellular Networks

Performance analysis and optimization of uplink cellular networks with flexible frame structure

Fatemeh Lotfi Information

University	University of Colorado Colorado Springs
Position	Research Assistant
Citations(all)	43
Citations(since 2020)	43
Cited By	0
hIndex(all)	3
hIndex(since 2020)	3
i10Index(all)	2
i10Index(since 2020)	2
Email	Access Email
University Profile Page	University of Colorado Colorado Springs
Google Scholar	View Google Scholar Profile

Fatemeh Lotfi Skills & Research Interests

Open RAN

Next Generation Wireless Communication 6G

Semantic Communication

Machine Learning

Deep RL

Fatemeh Lotfi

University of Colorado Colorado Springs

About Fatemeh Lotfi

Fatemeh Lotfi Information

Fatemeh Lotfi Skills & Research Interests

Top articles of Fatemeh Lotfi

Attention-based open RAN slice management using deep reinforcement learning

Fatemeh Lotfi

Fatemeh Afghah

Open RAN LSTM Traffic Prediction and Slice Management using Deep Reinforcement Learning

Fatemeh Lotfi

Fatemeh Afghah

Joint Path planning and Power Allocation of a Cellular-Connected UAV using Apprenticeship Learning via Deep Inverse Reinforcement Learning

Alireza Shamsoshoara

Fatemeh Lotfi

Sajad Mousavi

Fatemeh Afghah

Ismail Guvenc

Triplet loss-less center loss sampling strategies in facial expression recognition scenarios

Fatemeh Lotfi

Adham Atyabi

Fatemeh Afghah

Evolutionary deep reinforcement learning for dynamic slice management in O-RAN

Fatemeh Lotfi

Omid Semiari

Fatemeh Afghah

Semantic-Aware Collaborative Deep Reinforcement Learning Over Wireless Cellular Networks

Fatemeh Lotfi

Omid Semiari

Walid Saad

Performance analysis and optimization of uplink cellular networks with flexible frame structure

Fatemeh Lotfi

Omid Semiari

Co-Authors

Fatemeh Afghah

Omid Semiari