About me
I completed my BSc in Computer Engineering and MSc in Artificial Intelligence in Iran . I also worked as a researcher assistance at institute for research in fundamental sciences (IPM), Tehran. Since September 2021, I am a Ph.D. candidate in Graduate school of System Neuroscience (GSN) at LMU Munich, where I work in the Crowd cognition and the Cognition, Values, Behaviour (CVBE) research groups. My research focuses on computational modelling of learning and decision making, and their intersection.
Areas of interest:
Decision making, learning, behavioural modelling.
I am working on:
Decision making
Specifically, I am interested in the neural mechanism underlying perceptual decision making. I want to know how humans process noisy evidence in the environment and how this evidence computes their beliefs about the accuracy of their decisions.
Learning
I investigate the underlying mechanisms of learning. In particular, I am interested in how cognitive biases affect the process of learning in humans.
Intersection of decision making and learning.
I study how humans learn to make perceptual decisions when the evidence they use to inform those decisions is noisy. I want to find out how decision making and learning are computationally connected.
Social decision making
I study how social contexts affect human decision making in social interaction.
I have worked on:
Machine learning and Deep learning
I am an ML engineer by training. In my work, I have used various ML and DL techniques to address academic research questions and to develop products in the industry .
Publications
Does decision confidence reflect effort? N Hagura, J Esmaily, B Bahrami, Plos one 18 (2), e0278617, 2023.
There is a Threshold for Decision’s Confidence in Hierarchical Perceptual Decision-Making ,AM Mousavi Harris, J Esmaily, S Zabbah, R Ebrahimpour The Neuroscience Journal of Shefaye Khatam 11 (1), 25-36, 2022.
The role of expertise in visual exploration and aesthetic judgment of residential building façades: An eye-tracking study. F Jam, HR Azemati, A Ghanbaran, J Esmaily, R, Ebrahimpour Psychology of Aesthetics, Creativity, and the Arts 16 (1), 148, 3, 2022.
Interpersonal alignment of neural evidence accumulation to social exchange of confidence, J Esmaily, S Zabbah, B Bahrami, R Ebrahimpour, bioRxiv, 2022.11. 08.515654, 2022.
Forecasting of energy demand in virtual power plants F Khavari, J Esmaily, M Shafiekhani Scheduling and Operation of Virtual Power Plants, 343-358.
Intrusion detection system using an optimized kernel extreme learning machine and efficient features J Ghasemi, J Esmaily, R Moradinezhad Sādhanā 45, 1-9, 23, 2020.
Analyzing the Impacts of Color on Aesthetic Judgment and Eye Movement Indicators of Experts and Non-experts in Architecture Case Study: Residential Building Façades in Tehran F Jam, HR Azemati, A Ghanbaran, R Ebrahimpour, J Esmaily, Journal of Architecture and Urban Planning 12 (26), 97-115, 2, 2020.
Changing in the Reaction Time Causes the Confidence Matching in Group Decision Making J Esmaily, R Ebrahimpour, S Zabbah, The Neuroscience Journal of Shefaye Khatam 7 (4), 61-70, 3, 2019.
Confidence representation of perceptual decision by eeg and eye data in a random dot motion task, SV Shooshtari, JE Sadrabadi, Z Azizi, R Ebrahimpour, Neuroscience 406, 510-527, 14, 2019.
A novel intrusion detection systems based on genetic algorithms-suggested features by the means of different permutations of labels’ orders J Ghasemi, J Esmaily, International Journal of Engineering 30 (10), 1494-1502, 2, 2017.
Intrusion detection systems using a hybrid SVD-based feature extraction method J Ghasemi, J Esmaily, International Journal of Security and Networks 12 (4), 230-240 2, 2017.
Intrusion detection system based on multi-layer perceptron neural networks and decision tree J Esmaily, R Moradinezhad, J Ghasemi, 2015 7th Conference on Information and Knowledge Technology (IKT), 1-5, 61, 2015.