Divya Chaudhary
(she/her/hers)
Assistant Teaching Professor
Research interests
- Cloud computing
- Load scheduling
- Machine learning
- Systems and networking
Education
- PhD in Computer Engineering, University of Delhi — India
- MTech in Computer Science, Maharshi Dayand University — India
- BTech in Information Technology, Maharshi Dayand University — India
Biography
Divya Chaudhary is an assistant teaching professor at the Khoury College of Computer Sciences at Northeastern University’s Seattle campus. Her research interests include cloud computing, load scheduling, and machine learning applications.
Across more than seven years working in academia, Chaudhary has taught undergraduate courses at governmental departments and Netaji Subhas Institute of Technology in Delhi, India. For more than two years, she taught computing and programming basic to high school students. During her graduate program, she earned a gold medal for exemplary performance.
At Khoury College, Chaudhary teaches programming, data structures, cloud computing, and big data. She has published multiple research papers in journals and conferences, and has worked on numerous research projects with her undergraduate students. Her work aims to optimize load scheduling in the cloud to reduce computational costs.
Recent publications
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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 -
A New Balanced Particle Swarm Optimisation for Load Scheduling in Cloud Computing
Citation: Journal of Information & Knowledge ManagementVol. 17, No. 01, 1850009 (2018) A New Balanced Particle Swarm Optimisation for Load Scheduling in Cloud Computing Divya Chaudhary and Bijendra Kumar https://doi.org/10.1142/S0219649218500090