Publications

(2020). Design and Evaluation of a Wearable Assistive Technology for Hemianopic Stroke Patients. International Symposium on Wearable Computers (ISWC).

(2020). TransNet: Minimally-Supervised Deep Transfer Learning for Dynamic Adaptation of Wearable Systems. ACM Transactions on Design Automation of Electronic Systems (TODAES).

Code

(2020). Transfer Learning for Activity Recognition in Mobile Health. DSHealth20.

PDF

(2020). 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.

PDF Code Video

(2020). Optimal Policy for Deployment of Machine Learning Modelson Energy-Bounded Systems. The 29th International Joint Conference on Artificial Intelligence (IJCAI), July 11–17th, 2020, Yokohama, Japan.

PDF

(2020). 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.

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

(2020). Malaria epidemics in India: Role of climatic condition and control measures. Science of The Total Environment, vol. 712, 136368 pages, April 2020.

(2020). Adversarial Transferability in Wearable Sensor Systems.. arXiv preprint arXiv:2003.07982.

PDF

(2020). ActiLabel: A Combinatorial Transfer Learning Framework for Activity Recognition.. arXiv: Learning.

PDF

(2020). 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.

PDF

(2019). Toward Ultra-Low-Power Remote Health Monitoring: An Optimal and Adaptive Compressed Sensing Framework for Activity Recognition. IEEE Transactions on Mobile Computing (TMC), vol. 18, no. 3, pp. 658–673, March 2019.

PDF

(2019). 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.

(2019). Robust Interbeat Interval and Heart Rate Variability Estimation Method from Various Morphological Features using Wearable Sensors. IEEE Journal of Biomedical and Health Informatics (JBHI), December 2019.

(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.

PDF

(2019). Resource-Efficient Computing in Wearable Systems. CoRR.

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

PDF

(2019). Mindful Active Learning. CoRR.

(2019). Mindful Active Learning. IJCAI.

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

(2019). Human-in-the-loop Learning for Personalized Diet Monitoring from Unstructured Mobile Data. TiiS.

(2019). 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).

(2019). How Accurate Your Activity Tracker Is? A Comparative Study of Step Counts in Low-Intensity Physical Activities. Journal of Medical Internet Research (JMIR), vol. 5, no. 8, August, 2017.

(2019). Gait Speed and Survival of Older Surgical Patient with Cancer: Prediction after Machine Learning. Journal of Geriatric Oncology, vol. 10, no. 1, pp 120-125, January 2019.

(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). CyclePro: A Robust Framework for Domain-Agnostic Gait Cycle Detection. IEEE Sensors Journal (JSEN), vol. 19, no. 10, pp 3751–3762, May 2019.

(2019). Big vs little core for energy-efficient Hadoop computing. Journal of Parallel and Distributed Computing, vol. 129, pp. 110–124, July 2019.

PDF

(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). 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.

(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). 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.

(2018). Predicting Adherence to Use of Remote Health Monitoring Systems in a Cohort of Patients with Chronic Heart Failure. Technology and Health Care, vol. 25, no. 3, pp. 425–433, June 2017.

(2018). Personalized Human Activity Recognition Using Convolutional Neural Networks. CoRR.

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

(2018). Monitoring Lung Mechanics during Mechanical Ventilation using Machine Learning Algorithms. EMBC.

(2018). Impact of Cache Voltage Scaling on Energy-Time Pareto Frontier in Multicore Systems. Sustainable Computing: Informatics and Systems, vol. 18, pp. 54–65, March 2018.

(2018). IEEE Access Special Section Editorial: Body Area Networks. IEEE Access.

(2018). GNew Technologies in Geriatric Oncology Care. Journal of Geriatric Oncology, vol. 9, no. 6, pp 687-–689, November 2018.

(2018). Energy-efficient acceleration of MapReduce applications using FPGAs. Journal of Parallel and Distributed Computing, vol. 119, pp1–17, September 2018.

(2018). Energy-efficient acceleration of MapReduce applications using FPGAs. Journal of Parallel and Distributed Computing, vol. 119, pp1–17, September 2018.

(2018). Electronic Assessment of Physical Decline in Geriatric Cancer Patients. accepted for publication in Current Oncology Reports, February 2018.

(2018). Digital Health for Geriatric Oncology. Journal of Clinical Oncology: Clinical Cancer Informatics (JCO CCI), June 29, 2018.

(2018). Design Space Exploration for Hardware Acceleration of Machine Learning Applications in MapReduce. FCCM.

(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).

(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.

(2018). A Dynamic Programming Technique for Energy-Efficient Multicore Systems. IGSC.

(2017). Multi-sensor fusion in body sensor networks: State-of-the-art and research challenges. Information Fusion, vol. 35, pp. 68–80, May 2017.

(2017). Mobile sensing to improve medication adherence: demo abstract. IPSN.

(2017). Learn-on-the-go: Autonomous cross-subject context learning for internet-of-things applications. ICCAD.

(2017). Context-Aware System Design for Remote Health Monitoring: An Application to Continuous Edema Assessment. IEEE Transactions on Mobile Computing (TMC), vol. 16, no. 8, pp. 2159–2173, August 2017.

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

(2017). Adaptive compressed sensing at the fingertip of Internet-of-Things sensors: An ultra-low power activity recognition. DATE.

(2017). A beverage intake tracking system based on machine learning algorithms, and ultrasonic and color sensors: poster abstract. IPSN.

PDF

(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). SmartSock: A wearable platform for context-aware assessment of ankle edema. EMBC.

(2016). S2NI: A mobile platform for nutrition monitoring from spoken data. EMBC.

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

(2016). 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.

(2016). An Energy-Efficient Computational Model for Uncertainty Management in Dynamically Changing Networked Wearables. ISLPED.

(2016). A Reliable and Reconfigurable Signal Processing Framework for Estimation of Metabolic Equivalent of Task in Wearable Sensors. J. Sel. Topics Signal Processing.

(2016). A machine learning approach for medication adherence monitoring using body-worn sensors. DATE.

(2016). A Hardware-Assisted Energy-Efficient Processing Model for Activity Recognition Using Wearables. ACM Transactions on Design Automation of Electronic Systems (TODAES).

(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). Smart-Cuff: A wearable bio-sensing platform with activity-sensitive information quality assessment for monitoring ankle edema. PerCom Workshops.

(2015). Proceedings of the 2015 Workshop on Pervasive Wireless Healthcare, MobileHealth@MobiHoc 2015, Hangzhou, China, June 22, 2015. ACM.

(2015). Power-Aware Computing in Wearable Sensor Networks: An Optimal Feature Selection. IEEE Trans. Mob. Comput..

(2015). On the Design of a Fault Tolerant Ripple-Carry Adder with Controllable-Polarity Transistors. ISVLSI.

(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
.

(2015). Improving Compliance in Remote Healthcare Systems Through Smartphone Battery Optimization. IEEE J. Biomedical and Health Informatics.

(2015). Impact of sensor misplacement on estimating metabolic equivalent of task with wearables. 12th IEEE Conference on Body Sensor Networks (BSN 2015), Cambridge, MA, USA.

(2015). Context-Aware Data Processing to Enhance Quality of Measurements in Wireless Health Systems: An Application to MET Calculation of Exergaming Actions. IEEE Internet of Things Journal.

(2014). Toward seamless wearable sensing: Automatic on-body sensor localization for physical activity monitoring. EMBC.

(2014). SmartHealthSys 2014: ACM ubicomp international workshop on smart health systems and applications. UbiComp Adjunct.

(2014). Power-Aware Activity Monitoring Using Distributed Wearable Sensors. IEEE Trans. Human-Machine Systems.

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

(2014). Near-Realistic Mobile Exergames With Wireless Wearable Sensors. IEEE J. Biomedical and Health Informatics.

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

(2014). Cost-sensitive feature selection for on-body sensor localization. UbiComp Adjunct.

(2013). Vertically-stacked silicon nanowire transistors with controllable polarity: A robustness study. LATW.

(2013). Ultra low-power signal processing in wearable monitoring systems: A tiered screening architecture with optimal bit resolution. ACM Transactions on Embedded Computing Systems (TECS).

(2013). Remote patient monitoring: what impact can data analytics have on cost?. Proceedings of the 4th Conference on Wireless Health, Baltimore, MD, USA.

(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.

(2013). Multimodal energy expenditure calculation for pervasive health: A data fusion model using wearable sensors. PerCom Workshops.

(2013). A Pervasive Assessment of Motor Function: A Lightweight Grip Strength Tracking System. IEEE J. Biomedical and Health Informatics.

(2012). WANDA: an end-to-end remote health monitoring and analytics system for heart failure patients. Proceedings of the conference on Wireless Health 2012 (WH ‘12), San Diego, CA, USA.

(2012). Opportunistic hierarchical classification for power optimization in wearable movement monitoring systems. 7th IEEE International Symposium on Industrial Embedded Systems (SIES'12), Karlsruhe, Germany.

(2012). Generalized precursor pattern discovery for biomedical signals. EMBC.

(2012). Energy-efficient signal processing in wearable embedded systems: an optimal feature selection approach. ISLPED.

(2012). Dynamic Task Optimization in Remote Diabetes Monitoring Systems. HISB.

(2012). Dynamic self-adaptive remote health monitoring system for diabetics. EMBC.

(2012). Automatic Segmentation and Recognition in Body Sensor Networks Using a Hidden Markov Model. ACM Trans. Embedded Comput. Syst..

(2012). A Mining Technique Using $N$ n-Grams and Motion Transcripts for Body Sensor Network Data Repository. Proceedings of the IEEE.

(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.

(2011). Physical Movement Monitoring Using Body Sensor Networks: A Phonological Approach to Construct Spatial Decision Trees. IEEE Trans. Industrial Informatics.

(2010). Toward power optimization for communication failure recovery in Body Sensor Networks. ICCPS.

(2010). Structural action recognition in body sensor networks: distributed classification based on string matching. IEEE Trans. Information Technology in Biomedicine.

(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). Burst communication by means of buffer allocation in body sensor networks: Exploiting signal processing to reduce the number of transmissions. IEEE Journal on Selected Areas in Communications.

(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.

(2010). A mining technique using n-grams and motion transcripts for body sensor network data repository. Wireless Health.

(2010). A greedy buffer allocation algorithm for power-aware communication in body sensor networks. CODES+ISSS.

(2010). A body sensor network with electromyogram and inertial sensors: multimodal interpretation of muscular activities. IEEE Trans. Information Technology in Biomedicine.

(2009). Wearable coach for sport training: A quantitative model to evaluate wrist-rotation in golf. JAISE.

(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). Energy-Efficient Information-Driven Coverage for Physical Movement Monitoring in Body Sensor Networks. IEEE Journal on Selected Areas in Communications.

(2009). Distributed Continuous Action Recognition Using a Hidden Markov Model in Body Sensor Networks. DCOSS.

(2009). Communication minimization for in-network processing in body sensor networks: A buffer assignment technique. DATE.

(2009). An efficient placement and routing technique for fault-tolerant distributed embedded computing. ACM Trans. Embedded Comput. Syst..

(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 Method for Extracting Temporal Parameters Based on Hidden Markov Models in Body Sensor Networks With Inertial Sensors. IEEE Trans. Information Technology in Biomedicine.

(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). Locomotion Monitoring Using Body Sensor Networks. IPSN.

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

(2008). 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.

(2007). 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.

(2006). 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.