(2020). Proximity-Based Active Learning for Eating Moment Recognition in WearableSystems. 6th ACM Workshop on Wearable Systems and Applications (WearSys 2020).

(2020). Dropout as an Implicit Gating Mechanism For Continual Learning. The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops.

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(2020). Optimal Policy for Deployment of Machine Learning Modelson Energy-Bounded Systems. Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence (IJCAI).


(2020). Memory-Aware Active Learning in Mobile Sensing Systems. IEEE Transactions on Mobile Computing (TMC), 2020.

(2019). Toward Ultra-Low-Power Remote Health Monitoring: An Optimal and Adaptive Compressed Sensing Framework for Activity Recognition. IEEE Trans. Mob. Comput..


(2019). Resource-Efficient Wearable Computing for Real-Time Reconfigurable Machine Learning: A Cascading Binary Classification. The 16th IEEE International Conference on Wearable and Implantable Body Sensor Networks (BSN 19), Chicago, IL, USA.


(2019). Resource-Efficient Computing in Wearable Systems. 2019 IEEE International Conference on Smart Computing (SMARTCOMP), Washington DC, UAS.


(2019). LabelForest: Non-Parametric Semi-Supervised Learning for Activity Recognition.
  • Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19)*, Honolulu, Hawaii, USA.

(2019). ECoST: Energy-Efficient Co-Locating and Self-Tuning MapReduce Applications. Proceedings of the 48th International Conference on Parallel Processing (ICPP 2019), Kyoto, Japan.

(2019). Advances in multi-sensor fusion for body sensor networks: Algorithms, architectures, and applications. Special Issue on Advances in Multi-Sensor Fusion for Body Sensor Networks.

(2018). Toward visual field assessment using head-worn sensing devices. 15th IEEE International Conference on Wearable and Implantable Body Sensor Networks (BSN 2018), Las Vegas, NV, USA.

(2018). Personalized Human Activity Recognition Using Convolutional Neural Networks. Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18), New Orleans, Louisiana, USA.

(2018). Architectural considerations for FPGA acceleration of machine learning applications in MapReduce. Proceedings of the 18th International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation (SAMOS ‘18), Pythagorion, Greece.

(2017). An optimal approach for low-power migraine prediction models in the state-of-the-art wireless monitoring devices. DATE.

(2016). Wearable sensors for gait pattern examination in glaucoma patients. Microprocessors and Microsystems - Embedded Hardware Design.

(2016). Transfer learning algorithms for autonomous reconfiguration of wearable systems. 2016 IEEE International Conference on Big Data (IEEE BigData 2016), Washington DC, USA.

(2016). Many-core System-on-Chip: architectures and applications. Microprocessors and Microsystems - Embedded Hardware Design.

(2015). Toward robust and platform-agnostic gait analysis. 12th IEEE International Conference on Wearable and Implantable Body Sensor Networks (BSN 2015), Cambridge, MA, USA.

(2015). Investigation of gait characteristics in glaucoma patients with a shoe-integrated sensing system.
  • 2015 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops)*, St. Louis, MO, USA

(2014). Patient-centric on-body sensor localization in smart health systems. 48th Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, USA.

(2014). Designing user-specific plug-n-play into body area networks. MobileHealth@MobiHoc.

(2013). Objective assessment of overexcited hand movements using a lightweight sensory device. 10th IEEE International Conference on Body Sensor Networks (BSN 2013), Cambridge, MA, USA.

(2011). Wireless Fetal Monitoring Device with Provisions for Multiple Births. 8th IEEE Conference on Body Sensor Networks (BSN 2011), Dallas, TX, USA.

(2011). Ultra Low Power Granular Decision Making Using Cross Correlation: Optimizing Bit Resolution for Template Matching. 2011 17th IEEE Real-Time and Embedded Technology and Applications Symposium, Chicago, IL, USA.

(2010). Data Aggregation in Body Sensor Networks: A Power Optimization Technique for Collaborative Signal Processing. 2010 7th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks (SECON), Boston, MA, USA.

(2010). Applications of sensing platforms with wearable computers. Proceedings of the 3rd International Conference on PErvasive Technologies Related to Assistive Environments, (PETRA ‘10), Samos, Greece.

(2009). Sport training using body sensor networks: a statistical approach to measure wrist rotation for golf swing. The fourth International ICST Conference on Body Area Networks (BodyNets), April 1st-3rd 2009, Los Angeles, CA, USA.

(2009). Report from HotMobile 2009. IEEE Pervasive Computing.

(2009). An automatic segmentation technique in body sensor networks based on signal energy. 4th International ICST Conference on Body Area Networks, Los Angeles, CA, USA.

(2009). A Distributed Hidden Markov Model for Fine-grained Annotation in Body Sensor Networks. Sixth International Workshop on Wearable and Implantable Body Sensor Networks (BSN 2009), Berkeley, CA, USA.

(2008). Action coverage formulation for power optimization in body sensor networks. 13th Asia and South Pacific Design Automation Conference (ASP-DAC 2008), Seoul, Korea.