“I have known Krithika in several capacities - as a collaborator on a research project, and as a student in my seminar course. In both settings, Krithika excelled relative to her peers, providing on time work that exceeded my expectations. In particular, her work on developing a Bayesian latent variable method to cluster response data from conjoint analysis was innovative and thorough. I look forward to publishing the work with her in a top-tier academic conference in the near future. Please feel free to reach out to me in any way/capacity if you are interested in a further recommendation; I would be more than happy to provide it.”
Activity
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TODAY is the day for Chancellor Lee Adams, the son of Rae Carruth and Cherica Adams. He will graduate from Vance High School in Charlotte today at…
TODAY is the day for Chancellor Lee Adams, the son of Rae Carruth and Cherica Adams. He will graduate from Vance High School in Charlotte today at…
Liked by Krithika Raj Dorai Raj
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I have spent the past couple of months deep-diving into books about AI. I focused on books written between the 1980s to mid-1990s. It's such an…
I have spent the past couple of months deep-diving into books about AI. I focused on books written between the 1980s to mid-1990s. It's such an…
Liked by Krithika Raj Dorai Raj
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Here’s to all the brave, the pathfinders, the never-anything-but-authentic souls who pin their ears, narrow their eyes, and stand unapologetically…
Here’s to all the brave, the pathfinders, the never-anything-but-authentic souls who pin their ears, narrow their eyes, and stand unapologetically…
Liked by Krithika Raj Dorai Raj
Experience
Education
Patents
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An Automated Waste Segregation System Using Artificial Neural Networks
Filed IN 201841025096
Projects
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Current Research/Thesis
- Present
• Performing unsupervised clustering (Latent class analysis) of conjoint survey responses to identify latent classes that exhibit similar perceptions of fairness, amongst the population
• Analyze and identify patterns in covariates of the respondents with similar preferences (to study how the covariates might influence perceptions of un/fairness) -
Deep Neural Networks: Image Generation and Detection of Forest Fire
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• Generated images of forest fires using a curated dataset of web-scrapped images, with a Convolutional Generative Adversarial Network(GAN), as an alternative to the lack of large publicly available, diverse images of forest fires.
• Used the generated images to train a deep convolutional classifier to identify images of forest fires from low resolution, noisy images. -
Studying Perceptions of Fairness through Causality with The Moral Machine Experiment (MME)
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• Causal analysis of conjoint data of the MME (by MIT, choice experiment emulating the trolley problem for decision making in Autonomous Vehicles) to quantify moral preferences
• Hierarchical clustering of country-wise estimates of moral preferences resulted in 3 distinct clusters of preference patterns. -
Movie Genre Prediction with Spark
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• Implemented prediction models for multi-label classification(one vs rest classifiers) using Apache Spark
• Developed individual models with term document, Tf-Idf and word2vec embeddings as features for prediction and compared their performance.
• Built a prediction model with both word2vec embeddings and Tf-Idf as features to perform the multi-label classification -
Evaluation of Unintended Demographic Bias in NLP Models
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• Studying how bias manifests in models and the notion of fairness and explainability.
• Implemented a prediction model to identify and evaluate unintended demographic bias following the framework and metric (Relative Negative Sentiment Bias) described in a publication by Chris Sweeney et al.
• Compared the measured bias in word2vec, GloVe and ConceptNet word embeddings against demographic and LGBTQ+ identity terms illustrating that ConceptNet has the least RNSB, followed by GloVe. -
Text Processing tasks with Hadoop
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• Implemented text processing algorithms from scratch to perform word count, inverted index and n-grams using the Gutenberg dataset on Hadoop framework.
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Indoor Fire-fighter Robot
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• Built a simulation of an indoor fire-fighter bot (turtlebot3 mounted with OpenManipulator arm) to localize itself in a room using SLAM.
• Navigate to target locations in the room and activate the arm to emulate the act of aiming water jet at the fire till extinguished.
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1 person has recommended Krithika Raj
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Headspace Inc. was just named #10 in the social good category. Yey. Ain't bad being recognized with the likes of Ben & Jerry's & 120Water for making…
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What would you tell your 25 year old self? At the "mature" stage I've reached in my 30 year technical career, It's a question I'm being asked more…
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