| UK research software survey 2014 S Hettrick, M Antonioletti, L Carr, N Chue Hong, S Crouch, DC De Roure, ... Zenodo, 2014 | 61 | 2014 |
| SDR-Fi: Deep-learning-based indoor positioning via software-defined radio E Schmidt, D Inupakutika, R Mundlamuri, D Akopian IEEE Access 7, 145784-145797, 2019 | 41 | 2019 |
| Machine learning methods for discriminating strain and temperature effects on FBG-based sensors S Sarkar, D Inupakutika, M Banerjee, M Tarhani, M Shadaram IEEE Photonics Technology Letters 33 (16), 876-879, 2021 | 40 | 2021 |
| Improving adherence to endocrine hormonal therapy among breast cancer patients: Study protocol for a randomized controlled trial P Chalela, E Munoz, D Inupakutika, S Kaghyan, D Akopian, V Kaklamani, ... Contemporary clinical trials communications 12, 109-115, 2018 | 33 | 2018 |
| Facilitating the development of cross-platform mHealth applications for chronic supportive care and a case study D Inupakutika, S Kaghyan, D Akopian, P Chalela, AG Ramirez Journal of biomedical informatics 105, 103420, 2020 | 29 | 2020 |
| Anatomy of BioJS, an open source community for the life sciences G Yachdav, T Goldberg, S Wilzbach, D Dao, I Shih, S Choudhary, ... Elife 4, e07009, 2015 | 29 | 2015 |
| Software in reproducible research: advice and best practice collected from experiences at the collaborations workshop S Sufi, NC Hong, S Hettrick, M Antonioletti, S Crouch, A Hay, ... Proceedings of the 1st ACM sigplan workshop on reproducible research …, 2014 | 16 | 2014 |
| Performance Evaluation on CXL-enabled Hybrid Memory Pool Q Yang, R Jin, B Davis, D Inupakutika, M Zhao 16th International Conference on Networking, Architecture, and Storage (NAS …, 2022 | 15 | 2022 |
| Technology-based health promotion: Current state and perspectives in emerging gig economy J Morales, D Inupakutika, S Kaghyan, D Akopian, Z Yin, M Evans, ... Biocybernetics and biomedical engineering 39 (3), 825-842, 2019 | 10 | 2019 |
| On the Performance of Cloud-Based mHealth Applications: A Methodology on Measuring Service Response Time and a Case Study D Inupakutika, G Rodriguez, D Akopian, P Lama, P Chalela, AG Ramirez IEEE Access 10, 53208-53224, 2022 | 9 | 2022 |
| Integration of NLP and Speech-to-text Applications with Chatbots D Inupakutika, M Nadim, GR Gunnam, S Kaghyan, D Akopian, P Chalela, ... Electronic Imaging 2021, 2021 | 9 | 2021 |
| Discrimination of Strain and Temperature effects on FBG-based Sensor using Machine Learning S Sarkar, D Inupakutika, M Banerjee, M Tarhani, MK Eghbal, M Shadaram 2020 IEEE Photonics Conference (IPC), 1-2, 2020 | 9 | 2020 |
| Simultaneous detection and classification of dust and soil on solar photovoltaic arrays connected to a large-scale industry: A case study KS Ayyagari, Y Munian, D Inupakutika, BK Reddy, R Gonzalez, ... 2022 18th International Conference on the European Energy Market (EEM), 1-6, 2022 | 6 | 2022 |
| A digital health intervention for weight Management for Latino Families Living in rural communities: perspectives and lessons learned during development Z Yin, VL Errisuriz, M Evans, D Inupakutika, S Kaghyan, S Li, L Esparza, ... JMIR Formative Research 4 (8), e20679, 2020 | 5 | 2020 |
| Quantifying Performance Gains of GPUDirect Storage D Inupakutika, B Davis, Q Yang, D Kim, D Akopian 2022 IEEE International Conference on Networking, Architecture and Storage …, 2022 | 4 | 2022 |
| Performance assessment of mHealth apps G Rodriguez, D Inupakutika, S Kaghyan, D Akopian, P Lama, P Chalela, ... 2020 IEEE International Conference on Pervasive Computing and Communications …, 2020 | 4 | 2020 |
| Chatbot integrated with machine learning deployed in the cloud and performance evaluation GR Gunnam, D Inupakutika, R Mundlamuri, S Kaghyan, D Akopian Electronic Imaging 34, 1-5, 2022 | 3 | 2022 |
| Uk research software survey 2014 (Dec. 2014). doi: 10.5281/zenodo. 14809 S Hettrick, M Antonioletti, L Carr, NC Hong, S Crouch, D De Roure, ... URL https://doi. org/10.5281/zenodo 14809, 0 | 3 | |
| Assessing Performance of Cloud-Based Heterogeneous Chatbot Systems and A Case Study GR Gunnam, D Inupakutika, R Mundlamuri, S Kaghyan, D Akopian IEEE Access, 2024 | 2 | 2024 |
| Chatbot integration with google dialogflow environment for conversational intervention R Mundlamuri, D Inupakutika, GR Gunnam, S Kaghyan, D Akopian Electronic Imaging 34, 1-5, 2022 | 2 | 2022 |
David AkopianProfessor, University of Texas at San AntonioEmail verificata su utsa.edu