| 2021 | SENSYS | Marble: collaborative scheduling of batteryless sensors with meta reinforcement learning. | Francesco Fraternali, Bharathan Balaji, Yuvraj Agarwal, Rajesh Gupta |
| 2021 | SENSYS | Marble: collaborative scheduling of batteryless sensors with meta reinforcement learning. | Francesco Fraternali, Bharathan Balaji, Dezhi Hong, Yuvraj Agarwal, Rajesh K. Gupta |
| 2020 | SENSYS | Ember - energy management of batteryless event detection sensors with deep reinforcement learning: demo abstract. | Francesco Fraternali, Bharathan Balaji, Michael Barrow, Dezhi Hong, Rajesh K. Gupta |
| 2020 | SENSYS | Ember: energy management of batteryless event detection sensors with deep reinforcement learning. | Francesco Fraternali, Bharathan Balaji, Dhiman Sengupta, Dezhi Hong, Rajesh K. Gupta |
| 2020 | SENSYS | Zonal Air Handling in Commercial Buildings. | Xiaohan Fu, Jason Koh, Francesco Fraternali, Dezhi Hong, Rajesh K. Gupta |
| 2019 | SmartComp | Resource-Efficient Computing in Wearable Systems. | Mahsan Rofouei, Mahdi Pedram, Francesco Fraternali, Zhila Esna Ashari, Hassan Ghasemzadeh |
| 2018 | SENSYS | Pible: battery-free mote for perpetual indoor BLE applications. | Francesco Fraternali, Bharathan Balaji, Yuvraj Agarwal, Luca Benini, Rajesh K. Gupta |
| 2018 | SENSYS | Pible: battery-free mote for perpetual indoor BLE applications: demo abstract. | Francesco Fraternali, Bharathan Balaji, Yuvraj Agarwal, Luca Benini, Rajesh K. Gupta |
| 2018 | SENSYS | Scaling configuration of energy harvesting sensors with reinforcement learning. | Francesco Fraternali, Bharathan Balaji, Rajesh K. Gupta |
| 2014 | ISLPED | Quantifying the impact of variability on the energy efficiency for a next-generation ultra-green supercomputer. | Francesco Fraternali, Andrea Bartolini, Carlo Cavazzoni, Giampietro Tecchiolli, Luca Benini |