Divya Chaudhary
(she/her/hers)
Assistant Teaching Professor
Research interests
- Artificial intelligence
- Data science
- Machine learning
- Natural language processing and information retrieval
- Personal health informatics
Education
- PhD in Computer Engineering, University of Delhi — India
- MTech in Computer Science, Maharshi Dayanand University — India
- BTech in Information Technology, Maharshi Dayanand University — India
Biography
Divya Chaudhary is an assistant teaching professor in the Khoury College of Computer Sciences at Northeastern University, based in Seattle.
At Khoury College, Chaudhary teaches courses in programming, data structures, cloud computing, and big data. Before joining Khoury College in 2021, she taught undergraduate courses at governmental departments and Netaji Subhas Institute of Technology in Delhi. She also taught computing and programming basics to high school students.
In her research, which she often conducts with her students, Chaudhary leverages machine learning and natural language processing to solve challenges in health care and finance. In health care, her generative AI work strives to detect, diagnose, and treat a range of diseases and conditions, from the dermatological (melanoma) and the neurodegenerative (Alzheimer's) to the mental (depression and bipolar disorder). In finance, she examines the ways that large language models can be used for derivative pricing, risk assessment, and compliance policy validation. Additionally, Chaudhary investigates the potential of generative AI to counteract misinformation and prejudicial content in health care, as well as the potential of hybrid optimization algorithms to enhance load balancing in cloud computing.
Chaudhary is a member of AAAI, IEEE, WIE, and ACM. She serves as an editor for the PLOS One journal, a consulting editor for the Journal of Educational Research, and a reviewer for more than two dozen computing, data science, and engineering journals. Outside of academia, she enjoys spending time with her son.
Recent publications
-
Leveraging Geolocation in Clinical Records to Improve Alzheimer’s Disease Diagnosis Using DMV Framework
Citation: Peng Zhang, Divya Chaudhary. (2025). Leveraging Geolocation in Clinical Records to Improve Alzheimer's Disease Diagnosis Using DMV Framework CoRR, abs/2502.04288. https://doi.org/10.48550/arXiv.2502.04288 -
Northeastern Uni at Multilingual Counterspeech Generation: Enhancing Counter Speech Generation with LLM Alignment through Direct Preference Optimization
Citation: Sahil Wadhwa, Chengtian Xu, Haoming Chen, Aakash Mahalingam, Akankshya Kar, Divya Chaudhary. (2024). Northeastern Uni at Multilingual Counterspeech Generation: Enhancing Counter Speech Generation with LLM Alignment through Direct Preference Optimization CoRR, abs/2412.15453. https://doi.org/10.48550/arXiv.2412.15453 -
SKETCH: Structured Knowledge Enhanced Text Comprehension for Holistic Retrieval
Citation: Aakash Mahalingam, Vinesh Kumar Gande, Aman Chadha, Vinija Jain, Divya Chaudhary. (2024). SKETCH: Structured Knowledge Enhanced Text Comprehension for Holistic Retrieval CoRR, abs/2412.15443. https://doi.org/10.48550/arXiv.2412.15443 -
Hybrid Deep Learning Framework for Enhanced Melanoma Detection
Citation: Peng Zhang, Divya Chaudhary. (2024). Hybrid Deep Learning Framework for Enhanced Melanoma Detection CoRR, abs/2408.00772. https://doi.org/10.48550/arXiv.2408.00772 -
Exploring the Indian Political YouTube Landscape: A Multimodal Multi-Task Approach
Citation: Adwita Arora, Naman Dhingra, Divya Chaudhary, Ian Gorton, Bijendra Kumar. (2023). Exploring the Indian Political YouTube Landscape: A Multimodal Multi-Task Approach MUWS@CIKM, 3-17. https://ceur-ws.org/Vol-3566/paper1.pdf -
Detection of Sexism on Social Media with Multiple Simple Transformers
Citation: Chirayu Jhakal, Khushi Singal, Manan Suri, Divya Chaudhary, Bijendra Kumar, Ian Gorton. (2023). Detection of Sexism on Social Media with Multiple Simple Transformers CLEF (Working Notes), 959-966. https://ceur-ws.org/Vol-3497/paper-082.pdf -
WADER at SemEval-2023 Task 9: A Weak-labelling framework for Data augmentation in tExt Regression Tasks
Citation: Manan Suri, Aaryak Garg, Divya Chaudhary, Ian Gorton, Bijendra Kumar. (2023). WADER at SemEval-2023 Task 9: A Weak-labelling framework for Data augmentation in tExt Regression Tasks CoRR, abs/2303.02758. https://doi.org/10.48550/arXiv.2303.02758 -
I don’t feel so good! Detecting Depressive Tendencies using Transformer-based Multimodal Frameworks
Citation: Manan Suri, Nalin Semwal, Divya Chaudhary, Ian Gorton, Bijendra Kumar. (2022). I don't feel so good! Detecting Depressive Tendencies using Transformer-based Multimodal Frameworks MLNLP, 360-365. https://doi.org/10.1145/3578741.3578817 -
Cost optimized Hybrid Genetic-Gravitational Search Algorithm for load scheduling in Cloud Computing
Citation: Divya Chaudhary, Bijendra Kumar, Cost optimized Hybrid Genetic-Gravitational Search Algorithm for load scheduling in Cloud Computing, Applied Soft Computing, Volume 83, 2019, 105627, ISSN 1568-4946, https://doi.org/10.1016/j.asoc.2019.105627. -
Diversity and Progress Controlled Gravitational Search Algorithm for Balancing Load in Cloud
Citation: Chaudhary D., Kumar B., Garg S. (2019) Diversity and Progress Controlled Gravitational Search Algorithm for Balancing Load in Cloud. In: Thampi S., Madria S., Wang G., Rawat D., Alcaraz Calero J. (eds) Security in Computing and Communications. SSCC 2018. Communications in Computer and Information Science, vol 969. Springer, Singapore. https://doi.org/10.1007/978-981-13-5826-5_24 -
Cloudy GSA for load scheduling in cloud computing
Citation: Divya Chaudhary, Bijendra Kumar, Cloudy GSA for load scheduling in cloud computing, Applied Soft Computing, Volume 71, 2018, Pages 861-871, ISSN 1568-4946, https://doi.org/10.1016/j.asoc.2018.07.046. -
Improved Bee Swarm Optimization Algorithm for Load Scheduling in Cloud Computing Environment
Citation: Chaudhary D., Kumar B., Sakshi S., Khanna R. (2018) Improved Bee Swarm Optimization Algorithm for Load Scheduling in Cloud Computing Environment. In: Panda B., Sharma S., Roy N. (eds) Data Science and Analytics. REDSET 2017. Communications in Computer and Information Science, vol 799. Springer, Singapore. https://doi.org/10.1007/978-981-10-8527-7_33
