Ganeshan Malhotra
I am Ganeshan Malhotra, a grad student at University of California, San Diego, specializing in Machine Learning and Data Science. Currently I'm working as a Machine Learning Engineer Intern at Sybill.ai. Previously, I worked as a Machine Learning Engineer at Quantiphi, Inc. My research interests span a wide range of topics in Deep Learning with a focus on Natural Language Processing and Computational Linguistics.
I have worked with Dr. Ozge Alacam and Dr. Chris Biemann at LT Group, University of Hamburg where I worked towards incorporating gaze-embeddings in multi-modal learning systems.
I have also worked with Dr. Tanmoy Chakraborty and Dr. Md. Shad Akhtar at Laboratory for Computational Social Systems (LCS2). Many moons ago, I worked with Dr. Naveen Gupta to design OFDMA-NOMA techniques that could improve 5g communications. Our work was accepted at International Conference on Telecommunications, 2020.
My research objective is to build human-like interactive agents that can comprehensively understand the world around us.
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Books
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News
- June, 2023 :
Started Working as a Machine Learning Engineer Intern at Sybill.ai!
- September, 2022 : Started graduate studies at University of California, San Diego!
- May, 2022 : Paper accepted at CONSTRAINT(co-located with ACL), 2022!
- October, 2021 : Paper accepted at ACM WSDM, 2022!
- August, 2021 : Paper accepted at ACM-ICMI, 2021!
- July, 2021 : Joined Quantiphi, Inc. as Machine Learning Engineer.
- June, 2021 : Graduated from BITS Pilani, K.K. Birla Goa Campus.
- December, 2020 : Volunteer at COLING 2020.
- November, 2020 : Volunteer at EMNLP 2020.
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Education
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Quantiphi,
Inc.
Machine Learning Engineer
Worked in the GCP Applied AI team, delivering projects across Computer Vision and
Natural Language Processing.
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Document Retrieval and Claim Verification
to Mitigate COVID-19 Misinformation
Megha Sundriyal,
Ganeshan Malhotra,
Md. Shad Akhtar,
Shubhashis Sengupta,
Andrew Fano,
Tanmoy Chakraborty
Second Workshop on Combating Online Hostile Posts in Regional Languages during Emergency Situation, 2022
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Speaker and Time-aware Joint Contextual Learning for Dialogue-act Classification in Counselling Conversations
Ganeshan Malhotra,
Abdul Waheed,
Aseem Srivastava,
Md. Shad Akhtar,
Tanmoy Chakraborty
ACM International Conference on Web Search and Data Mining (WSDM), 2022
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Gaze-based Multimodal Meaning Recovery for Noisy/Complex Environments
Ozge Alacam,
Ganeshan Malhotra,
Eugen Ruppert,
Chris Biemann
ACM International Conference on Multimodal Interaction(ACM-ICMI 2021)
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Outage Analysis of OFDMA Based NOMA Aided Full-Duplex Cooperative D2D System
Rahul Bajpai,
Rahul Kulkarni,
Ganeshan Malhotra,
Naveen Gupta,
International Conference on Telecommunications, 2020
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