About Me
“Explore.🏔 Dream.💭 Discover.💡” ― Mark Twain
I am a Master’s student at Purdue University, with majors in Computer Science. Prior to that, I worked as a Research Associate 2 at Adobe Research as part of the Data-Driven Systems, Insights and Experiences Group. I graduated from the Indian Institute of Technology, Roorkee majoring in Computer Science and Engineering in 2019. Before joining as a full time, I interned at Adobe Research during summer 2018 where I worked in the domain of Natural Language, focused on assisting document understanding. Later in my undergraduate thesis, I, along with my team, explored an interdisciplinary domain of MicroFluidics and developed a novel algorithm for resource allocation.
My research interests are at the intersection of modeling user behavior, data mining, and data analysis in the domain of Machine Learning. For instance, applying deep learning techniques to score user journeys in the domain of marketing science. I am also exploring the domain of graph-based neural networks for modeling user behavior.
I am an avid traveler 🏔 and love clicking photographs 📷. Feel free to drop by at my gallery!
News
[ Dec’23 ] 🏆 Our reproducibility work on Federated Learning secured 1st Prize at ML@Purdue x DagsHub Hackathon.
[ Oct’23 ] 📄 Our work on PersonaSAGE got accepted at IEEE BigData 2023 (my first long paper!).
[ Aug’22 ] 🧑🏫 Started my grad school journey at Purdue University (Master’s in CS).
[ Jun’22 ] 📄 Our work on Dynamic Account Scoring got accepted as paper at AdKDD 2022 (my first workshop paper!).
[ Feb’22 ] 🎉 Got promoted to Research Associate 2 at Adobe Research.
[ Aug’21 ] 📄 Our work on Actionable Review Comments got accepted as paper at WISE 2021.
[ Apr’21 ] 🎥 Our project #AccountAce on B2B marketing premiered at Adobe Summit 2021.
[ Nov’19 ] 📄 Our paper based out of B.Tech. Thesis Project got accepted at DATE 2020.
[ Oct’19 ] 🏆 Our B.Tech. Project awarded as Best Department Project.
[ Jun’19 ] 🧑💻 Started my research journey at Adobe Research (my first job!).
[ May’19 ] 🧑🎓 Graduated from Indian Institue of Technology, Roorkee.
[ Mar’19 ] 📄 Our internship work at Adobe Research got accepted at CICLing 2019.
Research Interests
Artificial Intelligence and Machine Learning, Data Mining, User Modeling and Personalisation and Graph Machine Learning.
Publications
📙 PersonaSAGE: A Multi-Persona Graph Neural Network Paper
International Conference on Big Data (IEEE BigData 2023)
Authors — Gautam Choudhary, Iftikhar Ahamath Burhanuddin, Eunyee Koh, Fan Du and Ryan A. Rossi
📙 B2B Advertising: Joint Dynamic Scoring of Account and Users Paper, Video
KDD Workshop (AdKDD 2022)
Authors — Atanu R. Sinha, Gautam Choudhary, Mansi Agarwal, Shivansh Bindal, Abhishek Pande and Camille Girabawe
📙 ReAct: A Review Comment Dataset for Actionability (and more) Paper, Data
International Conference on Web Information Systems Engineering (WISE 2021)
Authors — Gautam Choudhary, Natwar Modani, Nitish Maurya
📙 Transport-Free Module Binding For Sample Preparation Using Microfluidic Fully Programmable Valve Arrays Paper, Proceedings
Design, Automation & Test in Europe Conference & Exhibition (DATE 2020)
Authors — Gautam Choudhary, Sandeep Pal, Debraj Kundu, Sukanta Bhattacharjee, Shigeru Yamashita, Bing Li, Ulf Schlichtmann, Sudip Roy
📙 Understanding Blogs Through The Lens Of Readers’ Comments Paper, Proceedings
International Conference on Computational Linguistics and Intelligent Text Processing (CICLing 2019)
Authors — Abhilasha Sancheti, Natwar Modani, Gautam Choudhary, Chintha Priyadarshini, Sai Sandeep Mparthi Moparthi
Patents
📘 Providing Data Collaboration via a Distributed Secure Collaboration Framework
Filed to USPTO in May, 2023
Inventors — Sunav Choudhary, Subrata Mitra, Sanjay Sukumaran, Priyanshu Yadav, Munish Gupta, Jashn Arora, Iftikhar Ahamath Burhanuddin, Gautam Choudhary, Atharv Tyaqi
📘 Anomalous Data Identification for Tabular Data
Filed to USPTO in Mar, 2023
Inventors — Ramasuri Narayanam, Manisha Padala, Atharv Tyagi, Shiv Kumar Saini, Keshav Vadrevu, Gautam Choudhary, Koyel Mukherjee
📘 Generating Node Embeddings for Multiple Roles
Filed to USPTO in Jun, 2022
Inventors — Ryan Rossi, Iftikhar Ahamath Burhanuddin, Gautam Choudhary, Fan Du, Eunyee Koh
📘 Identifying Bot Activity Using Topology-Aware Techniques
Filed to USPTO in Mar, 2022
Inventors — Gautam Choudhary, Sk Izajur Rahaman, Siba Panigrahi, Prithvi Bhutani, Manoj Kilaru, Kanishk Singh, Iftikhar Ahamath Burhanuddin, Aditi Singhania
📘 Artificial Intelligence Approaches For Predicting Conversion Activity Probability Scores And Key Personas For Target Entities
Filed to USPTO in Jun, 2021
Inventors — Liana Vagharshakian, Atanu R. Sinha, Gautam Choudhary, Camille Girabawe, Omar Rahman, Scott Trafton, Vivek Sinha
📘 Determining Digital Personas Utilizing Data-Driven Analytics
Filed to USPTO in February, 2021
Inventors — Gautam Choudhary, Iftikhar Ahamath Burhanuddin
📘 Machine-Learning Systems For Simulating Collaborative Behavior By Interacting Users Within A Group
Filed to USPTO in February, 2021
Inventors — Atanu R. Sinha, Gautam Choudhary, Mansi Agarwal, Shivansh Bindal, Abhishek Pande, Camille Girabawe
📘 Expressive Text-To-Speech Utilizing Contextual Word-Level Style Tokens
Filed to USPTO in July, 2020
Inventors — Sumit Shekhar, Abhilasha Sancheti, Gautam Choudhary, Santhosh Kumar, Shubhanshu Agarwal, Rahul Saxena
Reviewer
📚 Conference Sub-Reviewer (CoDS-COMAD 2020)
Extra Curriculars
[ Feb’21 ] Help Shelter Home Children Explore the World, Virtual Tour | Adobe Inc.
[ Mar’21 ] Mapathon - Support the Local Governance of Zambia | Adobe Inc.
[ Aug’19 ] Volunteer with Karunashraya - Raise Fund for Cancer Patients | Adobe Inc.
[ Jul’19 ] Volunteering for ‘Concept Painting’ at a Nearby Government School | Adobe Inc.