Project Portfolio
Forecast Bike Rental Demand
Machine learning project to predict bike rental demand using historical data and weather patterns.
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Lightweight Object-Detection with SE-MobileNet-SSD
Efficient object detection system using Squeeze-and-Excitation MobileNet architecture.
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What's Cooking? Predict Dish's Cuisine Based On Ingredients
Machine learning model to predict cuisine type based on ingredient lists.
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Cognitive Load Estimation in Real-time
Real-time system for estimating cognitive load using physiological signals.
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SimpleNet in Python using Pytorch
Implementation of SimpleNet architecture for CIFAR dataset classification.
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Determine If Online Transaction Is Fraudulent Or Not
Machine learning model for detecting fraudulent online transactions.
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Attentive Cross–modal Connections For Deep Multimodal Wearable–based Emotion Recognition
IEEE Affective Computing and Intelligent Interaction (ACIIW)
Research on attentive cross-modal connections for emotion recognition using wearable devices.
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A Transformer Architecture For Stress Detection From ECG
ACM International Symposium on Wearable Computers (ISWC)
Transformer-based architecture for stress detection using ECG signals.
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AttX: Attentive Cross-Connections For Fusion Of Wearable Signals In Emotion Recognition
Arxiv [Under Review at IEEE Journal]
Advanced research on attentive cross-connections for wearable signal fusion in emotion recognition.
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Attentive Cross-Modal Connections for Learning Multimodal Representations from Wearable Signals for Affect Recognition
Master's Thesis - Queen's University
We propose attentive cross-modal connections for sharing intermediate information between wearable modalities. To enable uni-directional or bi-directional information sharing between the modalities, we introduce three AttX connection types. Our proposed method can be integrated into different stages of deep learning pipelines and can successfully enhance the overall learned representations.
Read ThesisEducation
Master's Degree in Artificial Intelligence
Queen's University
2019 - 2022
Specialized in machine learning, deep learning, and artificial intelligence research.
Bachelor's Degree in Electrical Engineering
National Institute of Technology, Srinagar, India
2010 - 2014
Foundation in electrical engineering principles and systems.
Work Experience
Data Scientist
Ontario Health, Canada
2020 - Present
Research on Transformer module to combine learnt representations from multimodal time series data.
Research Fellow
Ingenuity Labs Research Institute, Queen's University
2020 - Present
Advanced research in multimodal machine learning and deep learning applications.
Intellectual Property Consultant
Sagacious Research Canada Inc.
2019 - 2022
Provided IP intelligence to the head of R&D and a team of innovators of a Swiss-based automation company.
Project Manager
Sagacious Research India
2015 - 2019
Provided comprehensive patent and business research to help clients evaluate technology whitespace and make better IP decisions.