Akanksha Atrey
Research Scientist
Autonomous Systems Research Department
Nokia Bell Labs


About Me

I am a Researcher in the Autonomous Systems Research Department at Nokia Bell Labs, where I work on AI/ML systems, decentralized energy systems, autonomous networks, and Web3 infrastructure.

My prior work has spanned over building systems for machine learning that enable explainability and generalizability, building trustworthy and privacy-preserving ML systems, and designing machine learning solutions for ubiquitous computing. My PhD thesis focused on characterizing, evaluating and building trustworthy and privacy-preserving machine learning systems for resource-constrained edge environments.

Prior to joining graduate school, I was a software engineer at IBM where I worked on the z/OS Mainframe. I completed my Bachelor of Science in Mathematics and Computer Science from the University at Albany, SUNY.


Recent News


Publications

  1. W4-Groups: Modeling the Who, What, When and Where of Group Behavior Via Mobility Sensing
    Akanksha Atrey, Camellia Zakaria, Rajesh Balan, Prashant Shenoy
    ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW) 2024.

  2. SODA: Protecting Proprietary Information in On-Device Machine Learning Models
    Akanksha Atrey, Ritwik Sinha, Saayan Mitra, Prashant Shenoy
    ACM/IEEE Symposium of Edge Computing (SEC) 2023.

  3. Towards Preserving Server-Side Privacy of On-Device Models.
    Akanksha Atrey, Ritwik Sinha, Somdeb Sarkhel, Saayan Mitra, David Arbour, Akash V. Maharaj, Prashant Shenoy
    The Web Conference (WWW) 2022. [poster]

  4. Measuring and Characterizing Generalization in Deep Reinforcement Learning
    Sam Witty, Jun K. Lee, Emma Tosch, Akanksha Atrey, Kaleigh Clary, Michael L. Littman, David Jensen
    Applied AI Letters 2021.

  5. Preserving Privacy in Personalized Models for Distributed Mobile Services
    Akanksha Atrey, Prashant Shenoy, David Jensen
    IEEE International Conference on Distributed Computing Systems (ICDCS) 2021.

  6. Exploring E-petitioning and media: The case of #BringBackOurGirls
    Teresa M. Harrison, Catherine Dumas, Nic DePaula, Tim Fake, Will May, Akanksha Atrey, Jooyeon Lee, Lokesh Rishi, S.S. Ravi
    Government Information Quarterly 2021.

  7. New Frontiers in IoT: Networking, Systems, Reliability, and Security Challenges
    Saurabh Bagchi, Tarek F. Abdelzaher, Ramesh Govindan, Prashant Shenoy, Akanksha Atrey, Pradipta Ghosh, Ran Xu
    IEEE Internet of Things Journal 2020.

  8. Exploratory Not Explanatory: Counterfactual Analysis of Saliency Maps for Deep Reinforcement Learning
    Akanksha Atrey, Kaleigh Clary, David Jensen
    International Conference on Learning Representations (ICLR) 2020.

  9. Identifying When Effect Restoration Will Improve Estimates of Causal Effect
    Hüseyin Oktay, Akanksha Atrey, David Jensen
    SIAM International Conference on Data Mining (SDM) 2019.

  10. Generalization in Deep Reinforcement Learning
    Sam Witty, Jun Ki Lee, Emma Tosch, Akanksha Atrey, Michael Littman, David Jensen
    Critiquing and Correcting Trends in Machine Learning Workshop at NeurIPS 2018.

  11. Do Diverse Social Interactions Make Us Smile More Often? Studying Smiles and Diversity Via Social Media Photos
    Vivek K. Singh, Akanksha Atrey, Saket Hegde
    ACM Multimedia (ACMMM) 2017.

  12. Towards Measuring Fine-Grained Diversity Using Social Media Photographs
    Vivek K. Singh, Saket Hegde, Akanksha Atrey
    International Conference on Web and Social Media (ICWSM) 2017.

  13. E-Petitioning and Online Media: The Case of# BringBackOurGirls
    Teresa M. Harrison, Catherine Dumas, Nic DePaula, Tim Fake, Will May, Akanksha Atrey, Jooyeon Lee, Lokesh Rishi, S.S. Ravi
    International Conference on Digital Government Research (dg.o) 2017. (Best paper award)

  14. E-petition Information Diffusion in Online Social Networks
    Catherine Dumas, Akanksha Atrey, Jooyeon Lee, Teresa M. Harrison, Tim Fake, Xiaoyi Zhao, S.S. Ravi
    International Conference on Digital Government Research (dg.o) 2016.


Awards and Honors


Activities