Dropout as an Implicit Gating Mechanism For Continual Learning
*CVPR 2020 Workshop on Continual Learning in Computer Vision (CLVISION)*, June 14, 2020, Seattle, WA, USA
Proximity-Based Active Learning for Eating Moment Recognition in WearableSystems
*The 6th ACM Workshop on Wearable Systems and Applications (WearSys 2020) in Conjunction with ACM MobiSys 2020*, June 19, 2020, Toronto, Canada
A Dynamic Programming Framework for DVFS-Based Energy-Efficiency in Multicore Systems
*IEEE Transactions on Sustainable Computing (TSUSC)*, vol. 5, no. 1, pp.1–12, January–March 2020
Share-n-Learn: A Framework for Sharing Activity Recognition Models in Wearable Systems with Context-Varying Sensors
*ACM Transactions on Design Automation of Electronic Systems (TODAES)*, vol. 24, no. 4, article 39, April 2019
Resource-Efficient Computing in Wearable Systems
*2019 IEEE International Conference on Smart Computing (SMARTCOMP)*, Washington DC, UAS
Mindful Active Learning
International Joint Conference on Artificial Intelligence (IJCAI), 2019
LabelForest: Non-Parametric Semi-Supervised Learning for Activity Recognition
*Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19)*, Honolulu, Hawaii, USA
Human-in-the-Loop Learning for Personalized Diet Monitoring from Unstructured Mobile Data
*ACM Transactions on Interactive Intelligent Systems (TiiS)*, Article No. 23, November 2019 (**Recipient of 2019 ACM TiiS Honorable Mention**)
Trading Off Power Consumption and Prediction Performance in Wearable Motion Sensors: An Optimal and Real-Time Approach
*ACM Transactions on Design Automation of Electronic Systems (TODAES)*, vol. 23, no. 5, article 67, October 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
Speech2Health: A Mobile Framework for Monitoring Dietary Composition From Spoken Data
*IEEE Journal of Biomedical and Health Informatics (JBHI)*, vol. 22, no. 1, pp. 252–264, January 2018
Personalized Human Activity Recognition Using Convolutional Neural Networks
*Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18)*, New Orleans, Louisiana, USA
GNew Technologies in Geriatric Oncology Care
*Journal of Geriatric Oncology*, vol. 9, no. 6, pp 687-–689, November 2018
Digital Health for Geriatric Oncology
*Journal of Clinical Oncology: Clinical Cancer Informatics (JCO CCI)*, June 29, 2018
Autonomous Training of Activity Recognition Algorithms in Mobile Sensors: A Transfer Learning Approach in Context-Invariant Views
*IEEE Transactions on Mobile Computing (TMC)*, vol. 17, no. 8, pp. 1764–1777, August 2018 **(Featured Article of August 2018 Issue)**
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
Autonomous sensor-context learning in dynamic human-centered internet-of-things environments
*The 35th IEEE/ACM International Conference On Computer Aided Design (ICCAD)*, November 7–10, 2016, Austin, TX
Toward robust and platform-agnostic gait analysis
*12th IEEE International Conference on Wearable and Implantable Body Sensor Networks (BSN 2015)*, Cambridge, MA, USA
Patient-centric on-body sensor localization in smart health systems
*48th Asilomar Conference on Signals, Systems, and Computers*, Pacific Grove, CA, USA
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
Applications of sensing platforms with wearable computers
*Proceedings of the 3rd International Conference on PErvasive Technologies Related to Assistive Environments, (PETRA '10)*, Samos, Greece
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
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
A phonological expression for physical movement monitoring in body sensor networks
*The Fifth IEEE International Conference on Mobile Ad-hoc and Sensor Systems (MASS)*, September and October 2008, Atlanta, GA
A New Approach for Design and Verification of Transaction Level Models
*IEEE International Symposium on Circuits and Systems (ISCAS’07)*, pp. 3760-3763, New Orleans, USA, May 2007
Modified Pseudo LRU Replacement Algorithm
*IEEE International Conference and Workshop on the Engineering of Computer Based Systems (ECBS)*, pp. 368-376, Potsdam, Germany, March 2006