Dynamic Scaling of Call-Stateful SIP Services in the Cloud. - Nico Janssens; Xueli An; Koen Daenen; Claudio Forlivesi (Networking (1), 2012)

Sensing WiFi network for personal IoT analytics. - Utku Günay Acer; Aidan Boran; Claudio Forlivesi; Werner Liekens; Fernando Pérez-Cruz; Fahim Kawsar (IOT, 2015)

An Early Resource Characterization of Deep Learning on Wearables, Smartphones and Internet-of-Things Devices. - Nicholas D. Lane; Sourav Bhattacharya; Petko Georgiev; Claudio Forlivesi; Fahim Kawsar (IoT-App@SenSys, 2015)

Energy Efficient Scheduling for Mobile Push Notifications. - Utku Günay Acer; Afra J. Mashhadi; Claudio Forlivesi; Fahim Kawsar (EAI Endorsed Trans. Energy Web, 2015)

Exploring space syntax on entrepreneurial opportunities with Wi-Fi analytics. - Afra J. Mashhadi; Utku Günay Acer; Aidan Boran; Philipp M. Scholl; Claudio Forlivesi; Geert Vanderhulst; Fahim Kawsar (UbiComp, 2016)

DeepX: A Software Accelerator for Low-Power Deep Learning Inference on Mobile Devices. - Nicholas D. Lane; Sourav Bhattacharya; Petko Georgiev; Claudio Forlivesi; Lei Jiao 002; Lorena Qendro; Fahim Kawsar (IPSN, 2016)

Demonstration Abstract: Accelerating Embedded Deep Learning Using DeepX. - Nicholas D. Lane; Sourav Bhattacharya; Petko Georgiev; Claudio Forlivesi; Fahim Kawsar (IPSN, 2016)

DXTK: Enabling Resource-efficient Deep Learning on Mobile and Embedded Devices with the DeepX Toolkit. - Nicholas D. Lane; Sourav Bhattacharya; Akhil Mathur; Claudio Forlivesi; Fahim Kawsar (MobiCASE, 2016)

Capturing Personal and Crowd Behavior with Wi-Fi Analytics. - Utku Günay Acer; Geert Vanderhulst; Afra J. Mashhadi; Aidan Boran; Claudio Forlivesi; Philipp M. Scholl; Fahim Kawsar (WPA@MobiSys, 2016)

Demo: Accelerated Deep Learning Inference for Embedded and Wearable Devices using DeepX. - Nicholas D. Lane; Sourav Bhattacharya; Petko Georgiev; Claudio Forlivesi; Fahim Kawsar (MobiSys (Companion Volume), 2016)

Can Mobile Workforce Revolutionize Country-Scale Crowdsourcing? - Utku Günay Acer; Marc Van den Broeck; Marc Godon; Claudio Forlivesi; Fahim Kawsar (WPA@MobiSys, 2017)

DeepEye: Resource Efficient Local Execution of Multiple Deep Vision Models using Wearable Commodity Hardware. - Akhil Mathur; Nicholas D. Lane; Sourav Bhattacharya; Aidan Boran; Claudio Forlivesi; Fahim Kawsar (MobiSys, 2017)

Squeezing Deep Learning into Mobile and Embedded Devices. - Nicholas D. Lane; Sourav Bhattacharya; Akhil Mathur; Petko Georgiev; Claudio Forlivesi; Fahim Kawsar (IEEE Pervasive Comput., 2017)

Mindful interruptions: a lightweight system for managing interruptibility on wearables. - Claudio Forlivesi; Utku Günay Acer; Marc Van den Broeck; Fahim Kawsar (WearSys@MobiSys, 2018)

On-Wearable AI to Model Human Interruptibility. - Claudio Forlivesi; Marc Van den Broeck; Utku Günay Acer; Fahim Kawsar (MobiSys, 2018)

eSense: Earable Platform for Human Sensing. - Fahim Kawsar; Chulhong Min; Akhil Mathur; Marc Van den Broeck; Utku Günay Acer; Claudio Forlivesi (MobiSys, 2018)

Scaling Crowdsourcing with Mobile Workforce: A Case Study with Belgian Postal Service. - Utku Günay Acer; Marc Van den Broeck; Claudio Forlivesi; Florian Heller; Fahim Kawsar (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2019)