Deepak

Deepak Ganesan

Professor
School of Computer Science, UMass Amherst
Address: 272 CS Building, 140 Governors Drive, Amherst, MA, 01003
Email: dganesan AT cs DOT umass DOT edu
Ph: (413) 545 2450
Admin: Karren Sacco

2024

Manasa Kalanadhabhatta, Mohammad Mehdi Rastikerdar, Tauhidur Rahman, Adam S Grabell, Deepak Ganesan, Playlogue: Dataset and Benchmarks for Analyzing Adult-Child Conversations During Play, Proceedings of ACM Interactive Mobile Wearable and Ubiquitous Technologies (ACM IMWUT 2024).

Mohammad Mehdi Rastikerdar, Jin Huang, Shiwei Fang, Hui Guan, Deepak Ganesan, CACTUS: Dynamically Switchable Context-aware micro-Classifiers for Efficient IoT Inference, ACM MobiSys 2024.

Manasa Kalanadhabhatta, Adrelys Mateo Santana, Lynnea Mayorga, Tauhidur Rahman, Deepak Ganesan, Adam Grabell, Multi-stakeholder Perspectives on Mental Health Screening Tools for Children, ACM CHI 2024.

Binbin Xie, Minhao Cui, Deepak Ganesan, Jie Xiong, Wall Matters: Rethinking the Effect of Wall for Wireless Sensing, Proceedings of the ACM Interactive, Mobile, Wearable and Ubiquitous Technologies (ACM IMWUT), 2024.

2023

Xingda Chen, Ankur Aditya, Zhenyu Lei, Deepak Ganesan, CurtainNet: Enabling precise beamforming with a deformable antenna array on a fabric substrate, Proceedings of ACM SenSys 2023.

Jin Huang, Hui Guan, Deepak Ganesan, Re-thinking computation offload for efficient inference on IoT devices with duty-cycled radios. In Proceedings of the 29th Annual International Conference on Mobile Computing and Networking (Mobicom), 2023.

Binbin Xie, Minhao Cui, Deepak Ganesan, Xiangru Chen, Jie Xiong, Boosting the Long Range Sensing Potential of LoRa.. Proceedings of ACM MobiSys 2023.

Gustavo A Angarita, Brian Pittman, Annamalai Nararajan, Talia F Mayerson, Abhinav Parate, Benjamin Marlin, Ralitza R Gueorguieva, Marc N Potenza, Deepak Ganesan, Robert T Malison, Discriminating cocaine use from other sympathomimetics using wearable electrocardiographic (ECG) sensors, Drug and Alcohol Dependence 2023.

2022

Ali Kiaghadi, Jin Huang, Seyyedeh Zohreh Homayounfar, Trisha Andrew, Deepak Ganesan, FabToys: Plush Toys with Large Arrays of Fabric-based Sensors to enable Fine-gained Interaction Detection, Proceedings of ACM MobiSys 2022. ACM SIGMOBILE Research Highlight. ACM Research Highlight.

Manasa Kalanadhabhatta, Adrelys Mateo Santana, Zhongyang Zhang, Deepak Ganesan, Adam S Grabell, Tauhidur Rahman, EarlyScreen: Multi-scale Instance Fusion for Predicting Neural Activation and Psychopathology in Preschool Children, Proceedings of ACM Interactive Mobile Wearable and Ubiquitous Technologies (ACM IMWUT 2022)

Soha Rostaminia, Zohreh Homayounfar, Ali Kiaghadi, Trisha Andrew, Deepak Ganesan, PhyMask: Robust Sensing of Brain Activity and Physiological Signals During Sleep with an All-textile Eye Mask, ACM Transactions on Computing for Healthcare, 2022.

Yuda Feng, Yaxiong Xie, Deepak Ganesan, Jie Xiong, LTE-based Low-cost and Low-power Soil Moisture Sensing, Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems (ACM SenSys 2022).

Binbin Xie, Deepak Ganesan, Jie Xiong, Embracing LoRa Sensing with Device Mobility, Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems (ACM SenSys 2022).

Manasa Kalanadhabhatta, Adrelys Mateo Santana, Deepak Ganesan, Tauhidur Rahman, Adam Grabell, Extracting Multimodal Embeddings via Supervised Contrastive Learning for Psychological Screening, Proceedings of Affective Computing and Intelligent Interaction, ACII 2022.

2021

Xingda Chen, Deepak Ganesan, Jeremy Gummeson, Mohammad Rostami, COCOON - A Conductive Substrate-based Coupled Oscillator Network for Wireless Communication, Proceedings of ACM SenSys 2021.

Yuda Feng, Yaxiong Xie, Deepak Ganesan, Jie Xiong, LTE-based Pervasive Sensing Across Indoor and Outdoor, Proceedings of ACM SenSys 2021.

Mohammad Rostami, Xingda Chen, Yuda Feng, Karthikeyan Sundaresan, Deepak Ganesan, MIXIQ: Re-thinking Ultra-low Power Receiver Design for Next-generation On-body Applications, Proceedings of ACM Mobicom 2021.

Tianxing Li, Jin Huang, Erik Risinger, Deepak Ganesan, Low-latency Speculative Inference On Distributed Multi-modal Data Streams, Proceedings of ACM MobiSys 2021. ACM SIGMOBILE Research Highlight.

Bhanu Teja Gullapalli, Stephanie Carreiro, Brittany Chapman, Deepak Ganesan, Jan Sjoquist, Tauhidur Rahman. OpiTrack: A Wearable-based Clinical Opioid Use Tracker with Temporal Convolutional Attention Networks, Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (ACM IMWUT 2021).

S Zohreh Homayounfar, Ali Kiaghadi, Deepak Ganesan, Trisha L Andrew, PressION: An All-Fabric Piezoionic Pressure Sensor for Extracting Physiological Metrics in Both Static and Dynamic Contexts, Journal of The Electrochemical Society 2021.

Manasa Kalanadhabhatta, Tauhidur Rahman, and Deepak Ganesan, Effect of Sleep and Biobehavioral Patterns on Multidimensional Cognitive Performance: Longitudinal, In-the-Wild Study, J Med Internet Res 2021.

Bhanu Teja Gullapalli, Gustavo A Angarita, Deepak Ganesan, Tauhidur Rahman. Joint Prediction of Cocaine Craving and Euphoria using Structured Prediction Energy Networks. DigiBiom '21: Proceedings of the 2021 Workshop on Future of Digital Biomarkers.

2020

S. Zohreh Homayounfar, Soha Rostaminia, Ali Kiaghadi, Xingda Chen, Emerson T. Alexander, Deepak Ganesan, and Trisha L. Andrew, Chesma: Multimodal Smart Eyewear for Longitudinal Eye Movement Tracking, MATTER 2020.

Jin Huang, Colin Samplawski, Deepak Ganesan, Benjamin Marlin, and Heesung Kwon. CLIO: Enabling automatic compilation of deep learning pipelines across IoT and Cloud In Proceedings of the 26th Annual International Conference on Mobile Computing and Networking (Mobicom), 2020.

Mohammad Rostami, Karthik Sundaresan, Eugene Chai, Sampath Rangarajan, and Deepak Ganesan. Redefining passive in backscattering with commodity devices. In Proceedings of the 26th Annual International Conference on Mobile Computing and Networking (Mobicom), 2020.

Ali Kiaghadi, Pan Hu, Jeremy Gummeson, Soha Rostaminia, and Deepak Ganesan. Continuous Measurement of Interactions with the Physical World with a Wrist-Worn Backscatter Reader. ACM Transactions on Internet of Things, 2020.

2019

Ali Kiaghadi, Zohreh Homayounfar, Jeremy Gummeson, Trisha Andrew, Deepak Ganesan, Phyjama: Physiological Sensing via Fiber-enhanced Pyjamas, Proceedings of ACM Interact. Mob. Wearable Ubiquitous Technol. (Ubicomp) 2019.

Soha Rostaminia, Alexander Lamson, Subhransu Maji, Tauhidur Rahman, Deepak Ganesan, W!NCE: Unobtrusive Sensing of Upper Facial Action Units with EOG-based Eyewear, Proceedings of ACM Interact. Mob. Wearable Ubiquitous Technol. (Ubicomp) 2019.

Bhanu Teja Gullapalli, Annamalai Natarajan, Gustavo A. Angarita, Robert T. Malison, Deepak Ganesan, Tauhidur Rahman, On-body Sensing of Cocaine Craving, Euphoria and Drug-Seeking Behavior using Cardiac and Respiratory Signals, Proceedings of ACM Interact. Mob. Wearable Ubiquitous Technol. (Ubicomp 2019).

2018

Ali Kiaghadi, Morgan Baima, Jeremy Gummeson, Trisha Andrew, Deepak Ganesan, Fabric as a Sensor: Towards Unobtrusive Sensing of Human Behavior with Triboelectric Textiles, Proceedings of SenSys 2018.

Mohammad Rostami, Jeremy Gummeson, Ali Kiaghadi, Deepak Ganesan, Polymorphic radios: A new design paradigm for ultra-low power communication, Proceedings of ACM SIGCOMM 2018.

2017

Soha Rostaminia, Addison Mayberry, Deepak Ganesan, Benjamin Marlin, Jeremy Gummeson, iLid: Low-power Sensing of Fatigue and Drowsiness Measures on a Computational Eyeglass, Proceedings of ACM IMWUT (Ubicomp) 2017.

Saman Naderiparizi, Pengyu Zhang, Matthai Philipose, Bodhi Priyantha, Jie Liu, Deepak Ganesan, iGlimpse: A Programmable Early-Discard Camera Architecture for Continuous Mobile Vision, Proceedings of MobiSys 2017. Best Paper Award Nominee.

iSchedule: Campus-scale HVAC Schedule via Mobile WiFi MonitoringAmee Trivedi, Jeremy Gummeson, Prashant Shenoy, Deepak Ganesan, and David Irwin Proceedings of ACM Conference on Future Energy Systems (ACM e-Energy), Hong Kong, May 2017.

Abhinav Parate, Deepak Ganesan, Detecting Eating and Smoking Behaviors Using Smartwatches, Mobile Health, Springer Publications 2017

2016

Annamalai Natarajan, Gustavo Angarita, Edward Gaiser, Robert Malison, Deepak Ganesan, and Benjamin Marlin, Domain Adaptation Methods for Improving Lab-to-field Generalization of Cocaine Detection using Wearable ECG, Proceedings of ACM Ubicomp 2016.

Pengyu Zhang, Mohammad Rostami, Pan Hu, and Deepak Ganesan, Enabling Practical Backscatter Communication for On-body Sensors, Proceedings of ACM SIGCOMM 2016.

Pan Hu, Pengyu Zhang, Mohammad Rostami, and Deepak Ganesan, Braidio: An Integrated Active-Passive Radio for Mobile Devices with Asymmetric Energy Budgets, Proceedings of ACM SIGCOMM 2016.

2015

Addison Mayberry, Yamin Tun, Pan Hu, Duncan Smith-Freedman, Deepak Ganesan, Benjamin Marlin and Christopher Salthouse, CIDER: Enabling Robustness-Power Tradeoffs on a Computational Eyeglass, Proceedings of the 21st Annual International Conference on Mobile Computing and Networking (ACM Mobicom 2015).

Pan Hu, Pengyu Zhang, and Deepak Ganesan, Laissez-Faire: Fully asymmetric backscatter communication, Proceedings of ACM SIGCOMM 2015.

2014

Pengyu Zhang, Pan Hu, Vijay Kumar, and Deepak Ganesan, EkhoNet: High Speed Ultra Low-power Wireless for Next Generation Sensors, Proceedings of the 20th Annual International Conference on Mobile Computing and Networking (Mobicom 2014). Best Paper Award Runner-up

Pan Hu, Pengyu Zhang, and Deepak Ganesan, Leveraging Interleaved Signal Edges for Concurrent Backscatter, Proceedings of the 2014 ACM Workshop on Hot Topics in Wireless (HotWireless 2014).

Annamalai Natarajan, Edward Gaiser, Gustavo Angarita, Robert Malison, Deepak Ganesan, and Benjamin Marlin, Conditional Random Fields for Morphological Analysis of Wireless ECG Signals., Proceedings of the 5th annual conference on Bioinformatics, Computational Biology and Health Informatics (BCB 2014).

Addison Mayberry, Pan Hu, Benjamin Marlin, Christopher Salthouse and Deepak Ganesan. iShadow: Design of a Wearable, Real-Time Mobile Gaze Tracker, Proceedings of the 12th International Conference on Mobile Systems, Applications and Services (MobiSys 2014).

Abhinav Parate, Meng-Chieh Chiu, Chaniel Chadowitz, Deepak Ganesan, Evangelos Kalogerakis, RisQ: Recognizing Smoking Gestures with Inertial Sensors on a Wristband, Proceedings of the 12th International Conference on Mobile Systems, Applications and Services (MobiSys 2014).

Pengyu Zhang and Deepak Ganesan, Enabling Bit-by-Bit Backscatter Communication in Severe Energy Harvesting Environments, Proceedings of the 11th USENIX Symposium on Networked Systems Design and Implementation (NSDI 2014).

2013

Annamalai Natarajan, Abhinav Parate, Gustavo Angarita, Edward Gaiser, Robert Malison, Benjamin Marlin, and Deepak Ganesan, Detecting Cocaine Use with Wearable Electrocardiogram Sensors, Proceedings of the 2013 ACM Conference on Ubiquitous Computing (UbiComp 2013).Honorable mention.

Abhinav Parate, Matthias Böhmer, David Chu, Deepak Ganesan, Benjamin Marlin, Practical prediction and prefetch for faster access to applications on mobile phones, Proceedings of the 2013 ACM Conference on Ubiquitous Computing (UbiComp 2013).

Artem Dementyev, Aaron Parks, Jeremy Gummeson, Alanson P. Sample, Joshua R. Smith, Deepak Ganesan, Wirelessly Powered Bistable Display Tags (Note), Proceedings of the 2013 ACM Conference on Ubiquitous Computing (UbiComp 2013).Honorable mention.

Pengyu Zhang, Deepak Ganesan, Boyan Lu, QuarkOS: Pushing the operating limits of micro-powered sensors, Proceedings of the 14th Workshop on Hot Topics in Operating Systems (HotOS XIV).

Mohamed Musthag, Deepak Ganesan, Labor Dynamics in a Mobile Micro-Task Market, Proceedings of the ACM SIGCHI Conference on Human Factors in Computing Systems (CHI 2013). Best Paper Award

Jeremy Gummeson, Bodhi Priyantha, Deepak Ganesan, Derek Thrasher, Pengyu Zhang, EnGuard: Protection of NFC Interactions on a Mobile Phone, Proceedings of the 11th International Conference on Mobile Systems, Applications and Services (MobiSys 2013).

Abhinav Parate, Meng-Chieh Chiu, Deepak Ganesan, Benjamin Marlin, Leveraging graphical models to improve accuracy and reduce privacy risks of mobile sensing, Proceedings of the 11th International Conference on Mobile Systems, Applications and Services (MobiSys 2013).

2012

Mohamed Musthag, Deepak Ganesan, The Role of Super Agents in Mobile Crowdsourcing, Proceedings of the 4th Human Computation Workshop (HCOMP 2012).

Jeremy Gummeson, Pengyu Zhang, Deepak Ganesan, Flit: A Bulk Transmission Protocol for RFID-Scale Sensors, Proceedings of the 10th International Conference on Mobile Systems, Applications and Services (MobiSys 2012).

Pengyu Zhang, Jeremy Gummeson, Deepak Ganesan, BLINK: A high throughput link layer for backscatter communication, Proceedings of the 10th International Conference on Mobile Systems, Applications and Services (MobiSys 2012).

Tingxin Yan, David Chu, Deepak Ganesan, Aman Kansal, Jie Liu, Fast App Launching for Mobile Devices using Predictive User Context, Proceedings of the 10th International Conference on Mobile Systems, Applications and Services (MobiSys 2012).

2011

Mohamed Musthag, Andrew Raij, Deepak Ganesan, Santosh Kumar, Saul Shiffman, Exploring Micro-Incentive Strategies for Participant Compensation in High-Burden Studies, Ubicomp 2011.

Xiaozheng Tie, Anand Seetharam, Arun Venkataramani, Deepak Ganesan, Dennis Goeckel, Anticipatory Wireless Bitrate Control for Blocks, ACM SIGCOMM Conference on Emerging Networking Experiments and Technologies (CoNEXT), December 2011.

2010

Tingxin Yan, Vikas Kumar, Deepak Ganesan, CrowdSearch: Exploiting Crowds for Accurate Real-time Image Search on Mobile Phones, Proceedings of the 8th Annual International Conference on Mobile Systems, Applications and Services (MobiSys 2010), San Francisco, CA, USA.

Jeremy Gummeson, Shane S. Clark, Kevin Fu, Deepak Ganesan, On the Limits of Effective Hybrid Micro-Energy Harvesting on Mobile CRFID Sensors, Proceedings of the 8th Annual International Conference on Mobile Systems, Applications and Services (MobiSys 2010), San Francisco, CA, USA.

Devesh Agrawal, Boduo Li, Zhao Cao, Deepak Ganesan, Yanlei Diao, Prashant Shenoy Exploiting the Interplay Between Memory and Flash Storage In Embedded Sensor Devices, Proceedings of the 16th IEEE Conference on Embedded and Real-time Computing Systems (RTCSA), Macau, China.

Jeremy Gummeson, Deepak Ganesan, Prashant Shenoy and Mark Corner, An Adaptive Link Layer for Heterogeneous Multi-radio Mobile Sensor Networks, IEEE Journal on Selected Areas in Communications (JSAC), Special Issue on Simple Wireless Sensor Networking Solutions, 2010.

2009

Shane Clark, Jeremy Gummeson, Kevin Fu, and Deepak Ganesan, Towards Autonomously-Powered CRFIDs, Workshop on Power Aware Computing and Systems (HotPower), Big Sky, MT, October 2009.

Devesh Agrawal, Deepak Ganesan, Ramesh Sitaraman, Yanlei Diao and Shashi Singh, Lazy-Adaptive Tree: An Optimized Index Structure for Flash Devices, Proceedings of the 35th International Conference on Very Large Databases (VLDB), Lyon, France, August 2009.

Ming Li, Devesh Agrawal, Deepak Ganesan and Arun Venkataramani, Block-switched Networks: A New Paradigm for Wireless Transport, Proceedings of the Sixth USENIX Symposium on Networked Systems Design and Implementation (NSDI), Boston, MA, April 2009.

Jeremy Gummeson, Deepak Ganesan, Prashant Shenoy and Mark Corner, An Adaptive Link Layer for Range Diversity in Multi-radio Mobile Sensor Networks, Proceedings of IEEE Infocom, Rio de Janeiro, Brazil, April 2009.

2008

Gaurav Mathur, Peter Desnoyers, Paul Chukiu, Deepak Ganesan, and Prashant Shenoy, Ultra Low-Power Data Storage for Sensor Networks, ACM Transactions on Sensor Networks (Accepted), Nov 2008.

Ming Li, Deepak Ganesan and Prashant Shenoy, PRESTO: Feedback-Driven Data Management in Sensor Networks, IEEE/ACM Transactions on Networking (Accepted) , Aug 2008.

Saurabh Ganeriwal, Ilias Tsigkogiannis, Hohyun Shim, Vlasios Tsiatsis, Mani B Srivastava, Deepak Ganesan, Estimating Clock Uncertainty for Efficient Duty-Cycling in Sensor Networks, IEEE/ACM Transactions on Networking (Accepted) , July 2008.

Tingxin Yan, Deepak Ganesan, and R. Manmatha, Distributed Image Search in Camera Sensor Networks, Proceedings of the 6th ACM Conference on Embedded Networked Sensor Systems (SenSys 2008), Raleigh, NC, Nov 2008.

Huzaifa Zafar, Victor Lesser, Dan Corkill, and Deepak Ganesan, Using Organization Knowledge to Improve Routing Performance in Wireless Multi-Agent Networks, Proceedings of the Seventh International Conference on Autonomous Agents and Multi-Agent System (AAMAS 08), May 2008.

Dan Xie, Tingxin Yan, Deepak Ganesan and Allen Hanson, Design and Implementation of a Dual-Camera Wireless Sensor Network for Object Retrieval, Proceedings of the International Conference on Information Processing in Sensor Networks (IPSN 2008), St. Louis, Missouri, April 2008.

2007

Ming Li, Tingxin Yan, Deepak Ganesan, Eric Lyons, Prashant Shenoy, Arun Venkataramani, and Michael Zink, Multi-user Data Sharing in Radar Sensor Networks, Proceedings of The 5th ACM Conference on Embedded Networked Sensor Systems (Sensys 2007), Sydney, Australia, Nov 2007.

Adam Williams, Deepak Ganesan, and Al Hanson, Aging in Place: Fall Detection and Localization in a Distributed Smart Camera Network, Proceedings of ACM Multimedia 2007, Augsburg, Germany, Sept 2007.

Nilanjan Banerjee, Jacob Sorber, Mark Corner, Sami Rollins, and Deepak Ganesan, Triage: Balancing Energy Consumption and Quality of Service in Tiered Microservers, Proceedings of the 5th International Conference on Mobile Systems, Applications, and Services (MobiSys 2007), Puerto Rico, June 2007.

Christopher Vigorito, Deepak Ganesan and Andy Barto, Adaptive Control for Duty-Cycling in Energy Harvesting-based Wireless Sensor Networks, Proceedings of the Fourth Annual IEEE Communications Society Conference on Sensor, Mesh, and Ad Hoc Communications and Networks (SECON 2007), San Diego, CA, June 2007. Best Paper Award

Purushottam Kulkarni, Prashant Shenoy and Deepak Ganesan, Approximate Initialization of Camera Sensor Networks, Proceedings of the 4th European Conference on Wireless Sensor Networks (EWSN 2007), Delft, Netherlands, January, 2007.

Yanlei Diao, Deepak Ganesan , Gaurav Mathur and Prashant Shenoy, Re-thinking Data Management for Storage-centric Sensor Networks, Proceedings of the Third Biennial Conference on Innovative Data Systems Research (CIDR), Asilomar, CA, January 2007.

2006

Xiaotao Liu, Purushottam Kulkarni, Prashant Shenoy and Deepak Ganesan, Snapshot: A Self-Calibration Protocol for Camera Sensor Networks, Proceedings of IEEE/CreateNet BASENETS 2006, San Jose, CA, October 2006.

Gaurav Mathur, Peter Desnoyers, Deepak Ganesan and Prashant Shenoy, CAPSULE: An Energy-Optimized Object Storage System for Memory-Constrained Sensor Devices, Proceedings of the Fourth ACM Conference on Embedded Networked Sensor Systems (SenSys), Boulder, CO, November 2006.

Ming Li, Deepak Ganesan and Prashant Shenoy, PRESTO: Feedback-Driven Data Management in Sensor Networks, Proceedings of the Third ACM/USENIX Symposium on Networked Systems Design and Implementation (NSDI), San Jose, CA, May 2006.

Gaurav Mathur, Peter Desnoyers, Deepak Ganesan and Prashant Shenoy, Ultra-Low Power Data Storage for Sensor Networks, Proceedings of IEEE/ACM Conference on Information Processing in Sensor Networks - Track on Sensor Platform, Tools and Design Methods for Networked Embedded Systems (IPSN-SPOTS), Nashville, TN, April 2006.

Deepak Ganesan, Razvan Cristescu and Baltasar Berefull-Lozano, Power-Efficient Sensor Placement and Transmission Structure for Data Gathering under Distortion Constraints, In Proceedings of ACM Transactions on Sensor Networks, Volume 2, Issue 2, Pages: 155-181, May 2006.

2005

Peter Desnoyers, Deepak Ganesan and Prashant Shenoy, TSAR: A Two Tier Storage Architecture Using Interval Skip Graphs, Proceedings of the Third ACM Conference on Embedded Networked Sensor Systems (SenSys), 2005

Saurabh Ganeriwal, Deepak Ganesan, Hohyun Sim, Vlassios Tsiatsis, Mark Hansen and Mani B. Srivastava, Estimating Clock Uncertainty for Efficient Duty-Cycling in Sensor Networks, Proceedings of the Third ACM Conference on Embedded Networked Sensor Systems (SenSys), 2005

Purushottam Kulkarni, Deepak Ganesan, Prashant Shenoy and Qifeng Lu, SensEye: A Multi-tier Camera Sensor Network, Proceedings of ACM Multimedia, 2005. Nominated for Best Student Paper Award

Peter Desnoyers, Deepak Ganesan, Huan Li, Ming Li and Prashant Shenoy, PRESTO: A Predictive Storage Architecture for Sensor Networks, Proceedings of the Tenth Workshop on Hot Topics in Operating Systems (HotOS X), Santa Fe, New Mexico, June 2005.

Purushottam Kulkarni, Deepak Ganesan and Prashant Shenoy, The Case for Multi-tier Camera Sensor Networks, Proceedings of the Fifteenth International Workshop on Network and Operating Systems Support for Digital Audio and Video (NOSSDAV), 2005

Razvan Cristescu, Baltasar Beferull-Lozano, Martin Vetterli, Deepak Ganesan and Jugoslava Acimovic, On the Interaction of Data Representation and Routing in Sensor Networks, Proceedings of the 30th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2005), Philadelphia, PA, (invited paper).

Deepak Ganesan and Ben Greenstein, Storage Issues in Sensor Networks, Book Chapter in Wireless Sensor Networks. Artech House, 2005 

Deepak Ganesan, Ben Greenstein, Denis Perelyubskiy, Deborah Estrin and John Heidemann, Multi-resolution Storage and Search in Sensor Networks, ACM Transactions on Storage, Volume 1, Issue 3, Pages: 277-315, August 2005

Saurabh Ganeriwal, Deepak Ganesan, Mark Hansen, Mani Srivastava and Deborah Estrin, Rate-Adaptive Time Synchronization for Long-Lived Sensor Networks, Proceedings of ACM Sigmetrics, Banff, Canada, June 2005 (Short Paper).

2004

Ning Xu, Sumit Rangwala, Krishna Chintalapudi, Deepak Ganesan, Alan Broad, Ramesh Govindan and Deborah Estrin, A Wireless Sensor Network for Structural Monitoring Proceedings of the Second ACM Conference on Embedded Networked Sensor Systems (SenSys 2004)., Baltimore, Maryland, Nov 2004

Deepak Ganesan (UCLA), Razvan Cristescu and Baltasar Berefull-Lozano (EPFL), Power-Efficient Sensor Placement and Transmission Structure for Data Gathering under Distortion Constraints In Symposium on Information Processing in Sensor Networks (IPSN '04), Berkeley, California, April 2004.

2003

Deepak Ganesan, Sylvia Ratnasamy, Hanbiao Wang and Deborah Estrin, Coping with irregular spatio-temporal sampling in sensor networks In 2nd Workshop on Hot Topics in Networks (HotNets-II), November 2003.

Deepak Ganesan, Ben Greenstein, Denis Perelyubskiy, Deborah Estrin and John Heidemann, An Evaluation of Multi-resolution Storage for Sensor Networks In Proceedings of the First ACM Conference on Embedded Networked Sensor Systems (SenSys 2003).

Yan Yu, Deepak Ganesan, Lewis Girod, Deborah Estrin and Ramesh Govindan, Synthetic data generation to support irregular sampling in Sensor Networks . In Proceedings of Geo Sensor Networks 2003 Oct 9-11 2003, Portland Maine. Taylor and Francis Publishers.

Deepak Ganesan, Alberto Cerpa, Yan Yu, Wei Ye, Jerry Zhao and Deborah Estrin, Networking Issues in Sensor Networks In the Journal of Parallel and Distributed Computing (JPDC), Invited paper in Special issue on Frontiers in Distributed Sensor Networks, Elsevier Publishers.

2002 and older

Deepak Ganesan, Deborah Estrin, John Heidemann, DIMENSIONS: Why do we need a new Data Handling architecture for Sensor Networks? In First Workshop on Hot Topics in Networks (Hotnets-I), October 2002. In Proceedings of ACM Computer Communication Review, Volume 33, Number 1 (January 2003).

Deepak Ganesan, Bhaskar Krishnamachari, Alec Woo, David Culler, Deborah Estrin and Stephen Wicker, Complex Behavior at Scale: An Experimental Study of Low-Power Wireless Sensor Networks , UCLA Computer Science Technical Report UCLA/CSD-TR 02-0013. An older version of the report can be found here .

Deepak Ganesan, Ramesh Govindan, Scott Shenker and Deborah Estrin, Highly Resilient, Energy Efficient Multipath Routing in Wireless Sensor Networks In Mobile Computing and Communications Review (MC2R) Vol 1., No. 2. 2002. A shorter version appeared in Symposium on Mobile Ad Hoc Networking & Computing (MobiHoc'01), Long Beach, CA, pp. 295-298, October 4-5, 2001.

John Heidemann, Fabio Silva, Chalermak Intanagonwiwat, Ramesh Govindan, Deborah Estrin and Deepak Ganesan. Building efficient wireless sensor networks with low-level naming In Proceedings of the Symposium on Operating Systems Principles (SOSP 2001). Lake Louise, Banff, Canada. October 2001.

Deepak Ganesan, Bhaskar Krishanamachari, Alec Woo, David Culler, Deborah Estrin, Stephen Wicker. Large Scale Network Discovery: Design Tradeoffs in Wireless Sensor Systems Poster in Proceedings of the Symposium on Operating Systems Principles (SOSP 2001). Lake Louise, Banff, Canada. October 2001.