Error vector magnitude analysis for carrier aggregated OFDM signals with nonlinear HPA. - Parag Aggarwal; Ankita Agarwal; Vivek Ashok Bohara (ANTS, 2016)

On the Spectral Content of Nonlinear Carrier Aggregated Windowed OFDM Systems. - Mohd Hamza Naim Shaikh; Ankita Agarwal; Parag Aggarwal; Vivek Ashok Bohara (ANTS, 2018)

On the spectral content of the nonlinearly amplified carrier aggregated OFDM system. - Parag Aggarwal; Ankita Agarwal; Vivek Ashok Bohara (WCNC, 2018)

Leveraging Natural Language Processing to Understand Public Outlook Towards the Influenza Vaccination. - Ankita Agarwal; William L. Romine; Tanvi Banerjee (IEEE BigData, 2020)

Leveraging Natural Language Processing to Mine Issues on Twitter During the COVID-19 Pandemic. - Ankita Agarwal; Preetham Salehundam; Swati Padhee; William L. Romine; Tanvi Banerjee (IEEE BigData, 2020)

KEA: Tuning an Exabyte-Scale Data Infrastructure. - Yiwen Zhu; Subru Krishnan; Konstantinos Karanasos; Isha Tarte; Conor Power; Abhishek Modi; Manoj Kumar; Deli Zhang; Kartheek Muthyala; Nick Jurgens; Sarvesh Sakalanaga; Sudhir Darbha; et al. (SIGMOD Conference, 2021)

Leveraging Natural Learning Processing to Uncover Themes in Clinical Notes of Patients Admitted for Heart Failure. - Ankita Agarwal; Krishnaprasad Thirunarayan; William L. Romine; Amanuel Alambo; Mia Cajita; Tanvi Banerjee (EMBC, 2022)

Mining Themes in Clinical Notes to Identify Phenotypes and to Predict Length of Stay in Patients admitted with Heart Failure. - Ankita Agarwal; Tanvi Banerjee; William L. Romine; Krishnaprasad Thirunarayan; Lingwei Chen; Mia Cajita (ICDH, 2023)

Towards Building Autonomous Data Services on Azure. - Yiwen Zhu; Yuanyuan Tian 001; Joyce Cahoon; Subru Krishnan; Ankita Agarwal; Rana Alotaibi; Jesús Camacho-Rodríguez; Bibin Chundatt; Andrew Chung; Niharika Dutta; Andrew Fogarty; Anja Gruenheid; et al. (SIGMOD Conference Companion, 2023)

Predicting Thermoelectric Power Factor of Bismuth Telluride During Laser Powder Bed Fusion Additive Manufacturing. - Ankita Agarwal; Tanvi Banerjee; Joy Gockel; Saniya LeBlanc; Joe Walker; John Middendorf (CoRR, 2023)

Debias-CLR: A Contrastive Learning Based Debiasing Method for Algorithmic Fairness in Healthcare Applications. - Ankita Agarwal; Tanvi Banerjee; William L. Romine; Mia Cajita (IEEE Big Data, 2024)

Integrating Deep Learning and Data Science: Challenges, Opportunities and Implications. - Ankita Agarwal; Nagaraj Patil; M. Rajeswari; Gitanjali B. Yadav; Rahul Mishra; Gourav Sood (ICCCNT, 2024)

Realizing the Full Benefits of Data Science with AI Powered Solutions. - A Mohamed Jaffar; R. T. Nanda; Rahul Mishra; P. Allirani; Suruchi G. Dedgaonkar; Ankita Agarwal (ICCCNT, 2024)

Analyzing the Effect of Spatial Correlation on Performance of Multi-User Multiple Access Techniques. - I K. Kantharaj; Ankita Agarwal; Bhawna Saraswat (ICCCNT, 2024)

Recent Trends in Elliptic Curve Cryptography for Authentication Systems. - Koushik V. Prasad; Ankita Agarwal; Chandra Kant Gautam (ICCCNT, 2024)

Exploring the Benefits of Text Mining for Automated Information Discovery. - Sukumar R; Khushboo Sharma; T. Surulivel Rajan; Yogesh D. Deshpande; Ankita Agarwal; Manish Nagpal (ICCCNT, 2024)