Hi! I'm Anubhav!
I am a Data Science and Machine Learning Researcher, and a Research Fellow at Ingenuity Labs Research Institute, Queen's University.
I ❤️ working on Multimodal Machine Learning and Deep Learning.
Project Portfolio
Lightweight Object-Detection with SE-MobileNet-SSD
What's Cooking? Predict Dish's Cuisine Based On Ingredients
Cognitive Load Estimation in Real-time
SimpleNet in Python using Pytorch
Determine If Online Transaction Is Fraudulent Or Not
Publications
Attentive Cross–modal Connections For Deep Multimodal Wearable–based Emotion Recognition
IEEE Affective Computing and Intelligent Interaction (ACIIW)
AttX: Attentive Cross-Connections For Fusion Of Wearable Signals In Emotion Recognition
Arxiv [Under Review at IEEE Journal]
A Transformer Architecture For Stress Detection From ECG
ACM International Symposium on Wearable Computers (ISWC)
Masters Thesis
Attentive Cross-Modal Connections for Learning Multimodal Representations from Wearable Signals for Affect Recognition
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.
Education
Work Experience
Research Fellow at Ingenuity Labs Research Institute, Queen's University, Kingston, Ontario
2020 - Present
Research on Transformer module to combine learnt representations from multimodal time series data.
Intellectual Property Consultant at 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 at Sagacious Research India
2015 - 2019
Provided comprehensive patent and business research to help clients evaluate technology whitespace and make better IP decisions.