Bahareh nakisa

Assistant Professor, Deakin University

Joined

September 2024

Names

Bahareh nakisa (Preferred)

Emails

****@deakin.edu.au (Confirmed)

Personal Links

Google Scholar

Career & Education History

Assistant Professor

Deakin University (deakin.edu.au)

Present

Advisors, Relations & Conflicts

No relations added

Expertise

No areas of expertise listed

Publications

Partner-Aware Hierarchical Skill Discovery for Robust Human-AI Collaboration
Adnan Ahmad, Bahareh nakisa, Mohammad Naim rastgoo
- Submitted to ICLR 2026
- Readers: Everyone
LightPRA: A Lightweight Temporal Convolutional Network for Automatic Physical Rehabilitation Exercise Assessment
Sara Sardari, Sara Sharifzadeh, Alireza Daneshkhah, Seng W Loke, Vasile Palade, michael J duncan, Bahareh nakisa
- Computers in Biology and Medicine
- Readers: Everyone
AI apology: interactive multi-objective reinforcement learning for human-aligned AI
Hadassah Harland, Richard Dazeley, Bahareh nakisa, Francisco Cruz, Peter Vamplew
- Neural Computing and Applications
- Readers: Everyone
Driver Emotion Recognition With a Hybrid Attentional Multimodal Fusion Framework
Luntian Mou, Bahareh nakisa, Yiyuan Zhao, Chao Zhou, Mohammad Naim Rastgoo, Lei Ma, Tiejun Huang, Baocai Yin, Ramesh Jain, Wen Gao
- OpenReview Archive Direct Upload
- Readers: Everyone
Audio based depression detection using Convolutional Autoencoder
Sara Sardari, Bahareh nakisa, Mohammad Naim Rastgoo, Peter W. Eklund
- Expert Systems With Applications
- Readers: Everyone
Driver stress detection via multimodal fusion using attention-based CNN-LSTM
Luntian Mou, Chao Zhou, Pengfei Zhao, Bahareh nakisa, Mohammad Naim Rastgoo, Ramesh Jain, Wen Gao
- Expert Systems with Applications
- Readers: Everyone
A critical review of proactive detection of driver stress levels based on multimodal measurements
Mohammad Naim Rastgoo, Bahareh nakisa, Andry Rakotonirainy, Vinod Chandran, Dian Tjondronegoro
- ACM computing Suvery
- Readers: Everyone
Automatic driver stress level classification using multimodal deep learning
Mohammad Naim Rastgoo, Bahareh nakisa, Frederic Maire, Andry Rakotonirainy, Vinod Chandran
- Expert systems with application
- Readers: Everyone
Evolutionary Computation Algorithms for Feature Selection of EEG-based Emotion Recognition using Mobile Sensors
Bahareh nakisa, Mohammad Naim Rastgoo, Dian Tjondronegoro, Vinod Chandran
- Expert Systems with Applications
- Readers: Everyone
Online Sequential Learning from Physiological Data with Weighted Prototypes: Tackling Cross-Subject Variability
Adnan Ahmad, Bahareh nakisa, Mohammad Naim Rastgoo
- Submitted to ICLR 2025
- Readers: Everyone

Co-Authors

View all 27 co-authors