Srijita Karmakar

sometimes what's real is something you can't see

Follow @srijitakarmakar
srijita@ucsb.edu

Skills

Python, MATLAB, R

EEG, Eye-Tracking, Pattern Recognition, Machine Learning, Deep Learning

Bayesian Ideal Observers, Signal Detection Theory, Psychtoolbox, EEGLAB

Photoshop, Latex

About

I am a graduate student working with Prof. Miguel Eckstein at the Vision and Image Understanding Lab, Dept. of Psychological and Brain Sciences, University of California, Santa Barbara. I am interested in exploring questions that can potentially allow a better understanding of vision and the brain's role in it. Previously, I explored human visual cognition in the context of face perception under the supervision of Prof. Koel Das, at the Neuro Lab, Indian Institute of Science Education and Research, Kolkata, India. I am currently chasing a better understanding of the temporal dynamics involved in the intricate interplay and trade-offs between foveal and peripheral vision. I am also deeply interested in uncovering the black box of artificial intelligence, at least in the realm of vision, to get a create a stronger understanding of how the biological brain and the artificial brain may differ from each other, and (more importantly) learn from each other. When I am not doing vision science or honing my computational skills, you would probably find me writing poetry, playing my guitar, watching obscure films, or trekking Himalayan mountains.

Projects


Anticipatory Orienting of Covert Attention using Dynamic Gaze Cueing

I utilized eye-tracking and reverse correlation to investigate the temporal dynamics of the integration of information from the visual fovea and the periphery involved in gaze-following behavior. I presented this work as a poster at the Vision Sciences Society Annual Meeting (May 2024, conference abstract linked below).

https://doi.org/10.1167/jov.24.10.751


Investigating the Benefit of Deep-Learning Based Algorithms in Medical Image Analysis

I worked with (Dr., circa 2024!) Devi Klein under the supervision of Dr. Miguel Eckstein, to delineate the advantages and disadvantages of using CNN-CAD tools for the diagnosis of disorders from medical images such as CT scans (publication linked below).

https://doi.org/10.1117/1.JMI.11.4.045501


Dynamics of Gaze-Following Saccades During Search

As part of my second-year PhD project, I utilized eye-tracking to investigate the visual perceptual mechanisms that guide gaze following behavior using dynamic and naturalistic stimuli. I presented this work as a talk at the Gordon Research Conference on Eye Movements and as a poster at the Gordon Research Seminar on Eye Movements (July 2023). I also presented this at our departent Minicon for second year graduate students (May 2024, linked below).

https://www.youtube.com/live/GdxziXtdyxM?si=j0AcKfSFPjTmZD7A


Effect of Visual Experience with Face Masks on Face Perception during COVID-19

For my Masters' Thesis, under the supervision of Dr. Koel Das, Dept. of Mathematics and Statistics, IISER Kolkata, focused on utilizing psychophysics and EEG to understand the effect of extensive usage of face-masks in light of COVID-19 on the perceptual abilities of human beings. I presented this work at the Visual Sciences Society Annual Meeting (May 2022, conference abstract linked below).

https://doi.org/10.48550/arXiv.2303.06031


Reward and Emotion Interaction - An fMRI Data Analysis Project

In the summer of 2022, I was part of a team at the Neuromatch Academy program who worked to explore a link between reward processing and emotion using the HCP fMRI dataset

https://docs.google.com/presentation/d/1HxTTPJLCty0zqCUq8xyeXwzgsiJ4ygy7LHVWC1x8uSs/edit?usp=sharing


Machine Learning and Network Analysis (MA4207 Machine Learning Course Project)

In 2021, for a course project, I was part of a team where we used random forest classifier and PCA to extract meaningful information from a pre-recorded dataset.

https://www.overleaf.com/read/vhszkddmvqpx#156fda


Feeding Preference of Free-Ranging Gray Langurs in an Urban Context

In the summer of 2019, I was part of a team that explored the adaptive feeding behavior of primates in an urbanized setting under the guidance of Dr. Manabi Paul, Calcutta University (publication linked below).

https://doi.org/10.3389/fpsyg.2021.649027


Work Experience


Graduate Teaching Assistant, PSY 130 (Perception and Vision)

University of California, Santa Barbara

Fall 2022, was a teaching assistant to 100-odd undegraduate students. Duties included holding office hours. proctoring, and grading

https://www.ucsb.edu/

Teaching Assistant, LS3102 (Cell Biology) and LS2201 (Evolutionary Biology)

Indian Institute of Science Education and Reseach, Kolkata

Fall 2021 and Spring 2022, duties involved proctoring, and grading

https://www.iiserkol.ac.in/web/en/

Teaching Staff

Ek Pehal, IISER Kolkata

2019-2022, volunteered with Ek Pehal, a student-led initiativen associated with my undergraduate institute campus, to teach young children from neigbouring localities

https://sites.google.com/site/ekpehal2015/

Education


Ongoing PhD

University of California, Santa Barbara

September 2022-present, pursuing a PhD in the Dept. of Psychological and Brain Sciences at UCSB (GPA 4.0)

https://www.ucsb.edu/

Dual Degree (BS-MS, Life Science major)

Indian Institute of Science Education and Research, Kolkata

2017-2022, earned Bachelor and Master of Science degrees in a 5-year Integrated program (GPA 9.46/10)

https://www.iiserkol.ac.in/web/en/