Software in reproducible research: advice and best practice collected from experiences at the collaborations workshop. - Shoaib Sufi; Neil P. Chue Hong; Simon Hettrick; Mario Antonioletti; Stephen Crouch; Alexander Hay; Devasena Inupakutika; Mike Jackson 003; Aleksandra Pawlik; Giacomo Peru; John Robinson; Les Carr; et al. (TRUST@PLDI, 2014)

Designing Apps Interoperable and Functional on Multiple Mobile Platforms using Google Environment. - Devasena Inupakutika; Chetan Basutkar; Sahak Kaghyan; David Akopian; Patricia Chalela; Amelie G. Ramirez; Alfred Mcalister (MOBMU, 2018)

An Integration of Health Tracking Sensor Applications and eLearning Environments for Cloud-Based Health Promotion Campaigns. - Devasena Inupakutika; Girish Vaidyanathan Natarajan; Sahak Kaghyan; David Akopian; Martin Evans; Zenong Yin; Deborah Parra-Medina (MOBMU, 2018)

SDR-Fi: Deep-Learning-Based Indoor Positioning via Software-Defined Radio. - Erick Schmidt; Devasena Inupakutika; Rahul Mundlamuri; David Akopian (IEEE Access, 2019)

Performance analysis of Mobile Cloud Computing Architectures for mHealth app. - Devasena Inupakutika; David Akopian; Patricia Chalela; Amelie G. Ramirez (MOBMU, 2020)

Performance Assessment of mHealth Apps. - Gerson Rodriguez; Devasena Inupakutika; Sahak Kaghyan; David Akopian; Palden Lama; Patricia Chalela; Amelie G. Ramirez (PerCom Workshops, 2020)

Facilitating the development of cross-platform mHealth applications for chronic supportive care and a case study. - Devasena Inupakutika; Sahak Kaghyan; David Akopian; Patricia Chalela; Amelie G. Ramirez (J. Biomed. Informatics, 2020)

Integration of NLP and Speech-to-text Applications with Chatbots. - Devasena Inupakutika; Mohammad Nadim; Ganesh Reddy Gunnam; Sahak Kaghyan; David Akopian; Patricia Chalela; Amelie G. Ramirez (MOBMU, 2021)

Chatbot integrated with machine learning deployed in the cloud and performance evaluation. - Ganesh Reddy Gunnam; Devasena Inupakutika; Rahul Mundlamuri; Sahak Kaghyan; David Akopian (MOBMU, 2022)

A robust indoor localization approach exploiting multipath. - Rahul Mundlamuri; Devasena Inupakutika; Krishna Sandeep Ayyagari; Ganesh Reddy Gunnam; David Akopian (MOBMU, 2022)

Chatbot integration with Google Dialogflow environment for conversational intervention. - Rahul Mundlamuri; Devasena Inupakutika; Ganesh Reddy Gunnam; Sahak Kaghyan; David Akopian (MOBMU, 2022)

Quantifying Performance Gains of GPUDirect Storage. - Devasena Inupakutika; Bridget Davis; Qirui Yang; Daniel Kim; David Akopian (NAS, 2022)

Performance Evaluation on CXL-enabled Hybrid Memory Pool. - Qirui Yang; Runyu Jin; Bridget Davis; Devasena Inupakutika; Ming Zhao 002 (NAS, 2022)

On the Performance of Cloud-Based mHealth Applications: A Methodology on Measuring Service Response Time and a Case Study. - Devasena Inupakutika; Gerson Rodriguez; David Akopian; Palden Lama; Patricia Chalela; Amelie G. Ramirez (IEEE Access, 2022)

AdaCache: A Disaggregated Cache System with Adaptive Block Size for Cloud Block Storage. - Qirui Yang; Runyu Jin; Ni Fan; Devasena Inupakutika; Bridget Davis; Ming Zhao 002 (CLOUD, 2023)

Data-driven approach for robust flood prediction. - Ganesh Reddy Gunnam; Devasena Inupakutika; Rahul Mundlamuri; Sahak Kaghyan; David Akopian (MOBMU, 2023)

An RF modulation recognition method using machine learning. - Rahul Mundlamuri; Devasena Inupakutika; Ganesh Reddy Gunnam; Thinh Ngo; David Akopian (MOBMU, 2023)

Assessing Performance of Cloud-Based Heterogeneous Chatbot Systems and A Case Study. - Ganesh Reddy Gunnam; Devasena Inupakutika; Rahul Mundlamuri; Sahak Kaghyan; David Akopian (IEEE Access, 2024)