Lighthouse: a taxonomy-based solver selection tool. - Kanika Sood; Boyana Norris; Elizabeth R. Jessup (SEPS@SPLASH, 2015)

Lighthouse: an automated solver selection tool. - Pate Motter; Kanika Sood; Elizabeth R. Jessup; Boyana Norris (SE-HPCCSE@SC, 2015)

Performance-Based Numerical Solver Selection in the Lighthouse Framework. - Elizabeth R. Jessup; Pate Motter; Boyana Norris; Kanika Sood (SIAM J. Sci. Comput., 2016)

Comparative Performance Modeling of Parallel Preconditioned Krylov Methods. - Kanika Sood; Boyana Norris; Elizabeth R. Jessup (HPCC/SmartCity/DSS, 2017)

Understanding the landscape of scientific software used on high-performance computing platforms. - A. Grannan; Kanika Sood; Boyana Norris; Anshu Dubey (Int. J. High Perform. Comput. Appl., 2020)

Risk-Based Breast Cancer Prognosis Using Minimal Patient Characteristics. - Kanika Sood; Prathyusha Gundlapally (ICHI, 2022)

COVID-19 Epidemic Forecast using Machine Learning Regression Techniques. - Merin Joseph; Kanika Sood; Tianhao Shen (SmartNets, 2022)

Partial Shading and Fault Simulation Dataset of Photovoltaics Module. - Kanika Sood; Nate Ruppert; Rakeshkumar V. Mahto (IEEE DataPort, 2022)

Risk Estimate of Complications in Type 2 Diabetes Using Ensemble Learning and Deep Learning. - Kanika Sood; Aneesh Reddy Sannapu (AIIoT, 2023)

Predictive Analytics for Real Estate During COVID-19 Pandemic. - Kanika Sood; Sijie Shang; Nima Nijad (AIIoT, 2023)

Detecting Hate Speech on Social Media with Respect to Adolescent Vulnerability. - Anna Chiu; Kanika Sood; Ariadne Rincon; Davina Doran (CCWC, 2023)

Speech emotion recognition for psychotherapy: an analysis of traditional machine learning and deep learning techniques. - Nidhi Shah; Kanika Sood; Jayraj Arora (CCWC, 2023)

Harnessing the Power of Neural Networks for Predicting Shading. - Rakeshkumar V. Mahto; Kanika Sood (GHTC, 2023)

Human Activity Recognition Using Ambient Sensors. - Kunal Chhatrapati; Kanika Sood; Purva Surve (ISNCC, 2023)

A Deep Learning Approach for the Classification of Tuberculosis and Pneumonia Using NIH Dataset. - Bharti Moryani; Kanika Sood; Kirti Chaudhary (ISNCC, 2023)

Interpreting Live Video Sign Language and Translate into Text. - Steven Rico; Kanika Sood; Kevin Hsu; Ethan Trinh (ISNCC, 2023)

Machine Learning with Bitcoin Heist Ransomware. - Nurhaliza Hassan; Kanika Sood; Gabriel Suzuki (SmartNets, 2023)

Indoor Navigation Assistance System for Visually Impaired with Semantic Segmentation using EdgeTPU. - Victor Tran; Kanika Sood; Kayhan Bakian; Aneesh Reddy Sannapu (SmartNets, 2023)

Random Forest Empowered Shade and Fault Detection in Photovoltaic Panel. - Rakeshkumar V. Mahto; Kanika Sood; Nathaniel Ruppert (UEMCON, 2023)

Supervised Learning for Non-Invasive Pre-Diabetes, Type 1 and Type 2 Diabetes Screening. - Kanika Sood; Azucena Lizbeth Jimenez Martinez (UEMCON, 2023)

Advancing Occupancy Detection through Deep Learning and Sensor Integration. - Rakeshkumar V. Mahto; Kanika Sood (CCWC, 2024)

HIV Progression and Outcome Prediction to Enhance Patient Matching for Clinical Trials. - Rakeshkumar V. Mahto; Kanika Sood (CCWC, 2024)

Deep Learning Approach for Incongruous Data: Dataset Matters. - Tina Torabinejad; Kanika Sood (ICMLC, 2024)

A Hybrid Approach for Fraudulent Transaction Detection: SMOTE-Autoencoder Framework. - Yathartha Patankar; Kanika Sood (ISNCC, 2024)

A Data-Driven Model for Wildfire Prediction in California. - Brennon Hahs; Kanika Sood; Desiree Gomez (SmartNets, 2024)

Revolutionizing Road Accident Analysis: A Deep Learning Approach to Entity Recognition and Extraction. - Aakarsh Surendra; Kanika Sood; Craig Albuquerque; Shirin Akbar; Gourav Joshi; Pallavi Sakshi (UEMCON, 2024)

Early Detection of At-Risk Students Using Machine Learning. - Azucena Lizbeth Jimenez Martinez; Kanika Sood; Rakeshkumar V. Mahto (CoRR, 2024)

Reflecting on Practices to Integrate Socially Responsible Computing in Introductory Computer Science Courses. - Kevin A. Wortman; Aakash Gautam; Sarah Hug; Paul Salvador Inventado; Ayaan M. Kazerouni; Jane Lehr; Kanika Sood; Zoë J. Wood (SIGCSE (1), 2025)