Sandipan Choudhuri

s.choudhuri@asu.edu

I'm a Ph.D. student at Arizona State University's School of Computing and Augmented Intelligence, with Prof. Arunabha Sen as my supervisor. My research journey is marked by contributions in machine learning and computer vision. Currently, I'm exploring multi-modal representation learning and cross-image domain generalization, with an emphasis on diverse shared label space assumptions across domains.

Should you wish to learn more or connect with me, please feel free to email me or reach out via the links provided below.

Professional Experience

Machine Learning Intern

ROVICARE, USA
  • Boosted patient intake performance by a factor of 27 by engineering a cloud-based machine learning framework to extract proprietary data from scanned patient records
  • Engineered a word localizer module using Azure Cognitive Service to render scanned patient data searchable for keywords.
  • Spearheaded the overhaul of ticketing and contract systems, slashing processing time by 45% and improving in-house efficiency.
  • Deployed machine learning models as Python RESTful APIs on the Azure App Services with Docker runtime.
  • Coordinated end-to-end execution of specification gathering, model development to testing, and generating metric reports.
May 2022 - August 2022

Machine Learning Intern

INTERBIZ, USA
  • Optimized claims processing by 18x via creating a bespoke document parser for scanned health/auto insurance claim forms.
  • Implemented a HIPAA-compliant cloud application, empowering 500+ healthcare providers with secure health record access.
  • Orchestrated comprehensive project scope refinement, computational methods optimization, efficacy verification, and managing stakeholder engagement for successful roll-out to operational platforms.
May 2021 - August 2021

Research Assistant

NetXT LAB, Arizona State University, USA
  • Showcased significant advancements in mitigating annotation overhead with 6+ state-of-the-art works on domain adaptation.
  • Designed frameworks for determining optimal treatment facility locations and gauging opioid misuse through social media chatter insights, using time series modeling and data analytics in an AHCCCS initiative to combat Arizona’s opioid crisis.
  • Architected a game-theoretic approach toward modeling human trafficking interdiction as part of an NSF-funded initiative.
August 2019 - Present

Junior Research Fellow

CMATER LAB, Jadavpur University, India
  • Led the development of a production-level system for advanced breast cancer diagnostics, encompassing requirements gathering, data sourcing, and model architecture, resulting in a 70% reduction in diagnosis time.
  • Published four benchmark works on scene labeling, contour detection, image segmentation, and object localization.
August 2015 - March 2017

Education

Ph.D.

Arizona State University, USA
COMPUTER SCIENCE
Dissertation: "Exploring Unsupervised Domain Adaptation Through the Lens of Unconstrained Label-Space Overlaps."
August 2017 - Present

Masters

Jadavpur University, India
COMPUTER SCIENCE & ENGINEERING
Thesis: "A Quality-Concordance Measure-Based Approach to Edge Detection."
August 2013 - June 2015

BACHELORS

West Bengal University of Technology, India
COMPUTER SCIENCE & ENGINEERING
August 2009 - July 2013

Publications

ICMLA
2023

A Robust Negative Learning Approach to Partial Domain Adaptation Using Source Prototypes

S.Choudhuri, S. Adeniye, A.Sen

ASILOMAR
2023

Robust Class-Conditional Distribution Alignment for Partial Domain Adaptation

S.Choudhuri, A.Sen

QCIT@ICC
2023

Quantum Communication in 6G Satellite Networks: Entanglement Distribution Across Changing Topologies [In Review]

A. Sen, C. Sumnicht, S. Choudhuri, A. Chang, G. Xue

HICSS
2023

Methodologies for Selection of Optimal Sites for Renewable Energy Under a Diverse Set of Constraints and Objectives

A. Sen, C. Sumnicht, S. Choudhuri, S. Adeniye, A. Sen

AIA
2023

Distribution Alignment Using Complement Entropy Objective and Adaptive Consensus-Based Label Refinement For Partial Domain Adaptation

S.Choudhuri, S. Adeniye, A.Sen

ASILOMAR
2022

Domain-Invariant Feature Alignment Using Variational Inference For Partial Domain Adaptation

S.Choudhuri, S. Adeniye, H Venkateswara, A.Sen

AdvML@KDD
2022

Coupling Adversarial Learning with Selective Voting Strategy for Distribution Alignment in Partial Domain Adaptation

S.Choudhuri, H Venkateswara, A. Sen

GLOBECOM
2021

Optimal Cost Network Design for Bounded Delay Data Transfer from PMU to Control Center

A. Sen, S. Roy, K. Basu, S. Adeniye, S. Choudhuri, A. Pal

DRCN
2020

Structural Dependency Aware Service Chain Mapping for Network Function Virtualization

S.Choudhuri, S. Adeniye, H Venkateswara, A.Sen

ASILOMAR
2020

Partial Domain Adaptation Using Selective Representation Learning For Class-Weight Computation

S.Choudhuri*, R. Paul*, A.Sen, B.Li, H Venkateswara

RMLDA
2019

Combining Multilevel Contexts of Superpixel using Convolutional Neural Networks to Perform Natural Scene Labeling

A Das, S Ghosh, R Sarkhel, S Choudhuri, N Das, M Nasipuri

epiDAMIK@KDD
2018

Identification of At-Risk Groups for Opioid Addiction Through Web Data Analysis

K Basu, S Choudhuri, A Sen, A Majumdar, D Dey

MMTC
2018

User Satisfaction-Driven Bandwidth Allocation for Image Transmission in a Crowded Environment

S Choudhuri, K Basu, A Sen

IJPRAI
2018

Object Localization on Natural Scenes: A Survey

S Choudhuri, N Das, R Sarkhel, M Nasipuri

FICTA
2017

A Quality-Concordance Metric Based Contour Detection by Utilizing Composite-Cue Information and Particle Swarm Optimisation

S Choudhuri, N Das, M Nasipuri

ICACCI
2016

A Multi-Cue Information-Based Approach to Contour Detection by Utilizing Superpixel Segmentation

S Choudhuri, N Das, S Ghosh, M Nasipuri

Research Interests

Domain Adaptation (Closed-Set/Partial/Open-Set/Source-Free) • Contour Detection • Object Localization • Semantic Image Segmentation • Unsupervised Learning • Time-Series Analysis

Awards & Services

  • Doctoral Fellowship Award for “strong academic work and research progress” • Arizona State University [2022, 2023, 2024]
  • Web chair • INFOCOM Workshop on Network Science for Quantum Communication Networks” [2022, 2023]
  • Ph.D. Conference Travel Award • Graduate & Professional Student Association, Arizona State University [2022, 2023]
  • Research award reviewer for the Graduate Grants Program • Arizona State University [2020 - 2023]
  • Reviewer for IEEE journals and conferences [2018 - 2023]
  • Ph.D. Conference Travel Award • School of Computing & Augmented Intelligence, Arizona State University [2019, 2022, 2023]
  • Co-authored and secured NSF and AHCCCS grants for combating human trafficking and opioid crisis [2019, 2021]
  • Top 0.5% among 0.25M candidates • Indian Graduate Aptitude Test in Engineering (GATE) [2013]

Teaching Assistantships

Arizona State University

Data Mining [2019, 2023] • Foundation of Algorithms [2017-2021] • Object-Oriented Programming and Data Structures [2018] • Introduction to Programming [2017]

Jadavpur University

Data Structures and Algorithms [2013] • Introduction to Programming [2015]