Pei ZhangAssociate Professor
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Pei Zhang
Pei ZhangAssociate ProfessorElectrical Engineering and Computer Science
EECS Building1301 Beal AvenueAnn Arbor, MI 48109-2122

Publications

Archival Papers Critically Reviewed Before Publication

My Google scholar here.

  1. Xinlei Chen, Susu Xu, Jun Han, Haohao Fu, Xidong Pi, Carlee Joe-Wong, Lin Zhang, Hae Young Noh, Pei Zhang. 2019. ASC: Actuation System for City-scale Ride Sharing Vehicular Mobile Crowdsensing. In IEEE Internet of Things Journal (In press).
  2. Smailagic, A., Cost, P., Gaudio, A., Khandelwal, K., Mirshekari, M., Fagert, J., Walawalkar, D., Xu, S., Galdran, A., Zhang, P., Campilho, A. and Noh, H.Y., 2019. O-MedAL: Online Active Deep Learning for Medical Image Analysis. In Journal of Data Mining and Knowledge Discovery.
  3. Chen, X., Purohit, A, Zeng, S., Gao, L., Dominguez, C., Carpin, S., Zhang, P., (2019) H-DrunkWalk: Collaborative and Adaptive Navigation for Heterogeneous MAV swarm, ACM Transactions on Sensor Networks (TOSN). – premier journal in Sensor Networks
  4. Mirshekari, Mostafa, Jonathon Fagert, Shijia Pan, Pei Zhang, and Hae Young Noh. “Step-Level Occupant Detection across Different Structures through Footstep-Induced Floor Vibration Using Model Transfer.” Journal of Engineering Mechanics 146, no. 3 (2020): 04019137. 1-18
  5. Ruiz, C., Falcao, J., Pan, S., Noh, H., & Zhang, P. (2019, November). AIM3S: Autonomous Inventory Monitoring through Multi-Modal Sensing for Cashier-Less Convenience Stores. In The 6th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation (BuildSys 2019). -Acceptance rate: 29%
  6. Pan, S., Berges, M., Rodakowski, M., Zhang, P., & Noh, H. (2019, November). Fine-Grained Activities of Daily Living Recognition through Structural Vibration and Electrical Sensing. In The 6th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation (BuildSys 2019). – Acceptance rate: 29%
  7. Mirshekari, M., Fagert, J., Pan, S., Schooler, E., Zhang, P., & Noh, H. Step-Level Occupant Detection across Different Structures through Footstep-Induced Floor Vibration using Model Transfer. To appear ASCE Journal of Engineering Mechanics. – premier journal in Mechanics
  8. Zhang, P., Pan, S., Mirshekari, M., Fagert, J., & Noh, H. (2019) Structures as Sensors: Indirect Sensing for Inferring Users and Environments. Oct. 2019, IEEE Computer Magazine. pp. 84-88, vol. 52 DOI: 10.1109/MC.2019.2925651 – Practitioner focused magazine for all members.
  9. Chen, X., Wang, Y., He, J., Pan, S., Li, Y., & Zhang, P. (2019). CAP: Context-aware App Usage Prediction with Heterogeneous Graph Embedding. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), 3(1), 4. – premier journal for Ubiquitous Computing research
  10. Xu, S., Chen, X., Pi, X., Joe-Wong, C., Zhang, P., & Noh, H. Y. (2019). iLOCuS: Incentivizing Vehicle Mobility to Optimize Sensing Distribution in Crowd Sensing. IEEE Transactions on Mobile Computing. – premier journal for Mobile Computing research.
  11. Pan, S., Mirshekari, M., Fagert, J., Ruiz, C., Noh, H. Y., & Zhang, P. (2019). Area Occupancy Counting Through Sparse Structural Vibration Sensing. IEEE Pervasive Computing, 18(1), 28-37. – premier journal for Ubiquitous Computing research.
  12. Chen, X., Wang, Y., He, J., Pan, S., Li, Y., & Zhang, P. (2019). CAP: Context-aware App Usage Prediction with Heterogeneous Graph Embedding. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 3(1), 4. – premier journal for Ubiquitous Computing research
  13. Xu, S., Chen, X., Pi, X., Joe-Wong, C., Zhang, P., & Noh, H. Y. (2019). iLOCuS: Incentivizing Vehicle Mobility to Optimize Sensing Distribution in Crowd Sensing. IEEE Transactions on Mobile Computing. – premier journal for Mobile Computing research.
  14. Pan, S., Mirshekari, M., Fagert, J., Ruiz, C., Noh, H. Y., & Zhang, P. (2019). Area Occupancy Counting Through Sparse Structural Vibration Sensing. IEEE Pervasive Computing, 18(1), 28-37. – premier journal for Ubiquitous Computing research.
  15. Smailagic, A., Costa, P., Noh, H. Y., Walawalkar, D., Khandelwal, K., Galdran, A., … & Campilho, A. (2018, December). MedAL: Accurate and Robust Deep Active Learning for Medical Image Analysis. In 2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA) (pp. 481-488). IEEE. – (Best Paper Award). total 481 submissions
  16. Han, J., Pan, S., Sinha, M. K., Noh, H., Zhang, P., & Tague, P. (2018). Smart Home Occupant Identification via Sensor Fusion Across On-Object Devices. ACM Transactions on Sensor Network, TOSN 14(3), 23:1-23. – premier journal in Sensor Networks
  17. Mirshekari, M., Fagert, J., Pan, S., Schooler, E., Zhang, P., & Noh, H. (2018). Occupant Localization Using Footstep-Induced Structural Vibration. Mechanical Systems and Signal Processing, 112, 77-97. – premier interdisciplinary journal in Mechanical, Aerospace and Civil Engineering
  18. Jia, J., Xu, C., Pan, S., Xia, S., Wei, P., Noh, H., Zhang, P., Jiang, X. (2018). Conductive Thread-Based Textile Sensor for Continuous Perspiration Level Monitoring, Sensors, 18(11), 3775: 1-19. – open access journal on sensors
  19. Ruiz, C., Pan, S., Bannis, A., Chen, X., Joe-Wong, C., Noh, H., & Zhang, P. (2018). IDrone: Robust Drone Identification through Motion Actuation Feedback. Journal Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 2(2), 80:1-22. – premier journal for Ubiquitous Computing research
  20. JUN HAN, Albert Jin Chung, Manal Kumar Sinha, Madhumitha Harishankar, Shijia Pan, Hae Young Noh, Pei Zhang and Patrick Tague, “Do You Feel What I Hear? Enabling Autonomous IoT Device Pairing using Different Sensor Types”, in Proceedings of the 39th IEEE Symposium on Security and Privacy (Oakland 2018), San Francisco, CA, May. 2018. – Acceptance rate: 10%
  21. Pan, S., Mirshekari, M., Fagert, J., Ramirez, C. G., Chung, A. J., Hu, C. C., … & Noh, H. Y. (2018). Characterizing human activity induced impulse and slip-pulse excitations through structural vibration. Journal of Sound and Vibration, 414, 61-80.
  22. Mokaya, F., Noh, H. Y., Lucas, R., & Zhang, P. (2018). MyoVibe: Enabling Inertial Sensor-Based Muscle Activation Detection In High-Mobility Exercise Environments. ACM Transactions on Sensor Networks (TOSN), 14(1), 6. – premier journal in Sensor Networks
  23. Pan, S., Ruiz, C., Bannis, A., Tague, P., Noh, H., & Zhang, P. (2018). UniverSense: IoT Device Pairing Using Heterogeneous Sensing Signals. The 19th ACM International Workshop on Mobile Computing Systems and Applications (HotMobile 2018). – Acceptance rate: 29%
  24. Bonde, A., Pan, S., Jia, Z., Zhang, Y., Noh, H., & Zhang, P. (2018). VVRRM: Vehicular Vibration-based Heart RR-Interval Monitoring System. The 19th ACM International Workshop on Mobile Computing Systems and Applications (HotMobile 2018). – Acceptance rate: 29%
  25. Chen, X., Purohit, A., Pan, S., Ruiz, C., Han, J., Sun, Z., … & Zhang, P. (2017). Design experiences in minimalistic flying sensor node platform through sensorFly. ACM Transactions on Sensor Networks (TOSN), 13(4), 33. – premier journal in Sensor Networks
  26. Jiang, W., Dominguez, C. R., Zhang, P., Shen, M., & Zhang, L. (2017). Large-Scale Nationwide Ridesharing System: A Case Study of Chunyun. International Journal of Transportation Science and Technology. 2017
  27. Zhenhua Jia, Amelie Bonde, Sugang Li, Chenren Xu, Jingxian Wang, Yanyong Zhang, Richard E. Howard, Pei Zhang. Monitoring a Person’s Heart Rate and Respiratory Rate on a Shared Bed Using Geophones ACM Conference on Embedded Networked Sensor Systems (Sensys 2017). – Acceptance rate: 20%
  28. Han, J., Pan, S., Sinha, M. K., Noh, H. Y., Zhang, P., & Tague, P. (2017, November). SenseTribute: Smart Home Occupant Identification via Fusion Across On-Object Sensing Devices. In Proceedings of the 4th ACM International Conference on Systems for Energy-Efficient Built Environments (BuildSys 2017). – People’s Cho ice Award
  29. Pan, S., Yu, T., Mirshekari, M., Fagert, J., Bonde, A., Mengshoel, O., Noh, H., & Zhang, P. (2017). FootprintID: Indoor Pedestrian Identification through Ambient Structural Vibration Sensing. Journal Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 1(3), 89:1-31. – premier journal for Ubiquitous Computing research.
  30. Gu, W., Zhou, Y., Zhou, Z., Liu, X., Zou, H., Zhang, P., Spanos, C.J., Zhang, L. (2017). SugarMate: Non-intrusive Blood Glucose Monitoring with Smartphones. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 1(3), 54. – premier journal for Ubiquitous Computing research.
  31. Pan, S., Xu, S., Mirshekari, M., Zhang, P., & Noh, H. (2017). Collaboratively Adaptive Vibration Sensing System for High Fidelity Monitoring of Structural Responses Induced by Pedestrians. Frontiers Built Environment, 3(28), 1-15.
  32. Xu, S., Zhang, L., Zhang, P., & Noh, H. (2017). An Information Theoretic Approach For Indirect Train Traffic Monitoring Using Building Vibration. Frontiers in Built Environment, 3(22), 1-14.
  33. Shijia Pan, Ceferino Gabriel Ramirez, Mostafa Mirshekari, Jonathon Fagert, Albert Jin Chung, Chih Chi Hu, John Paul Shen, Hae Young Noh, and Pei Zhang. SurfaceVibe: Vibration-Based Tap and Swipe Tracking on Ubiquitous Surfaces. In Proceedings of the 16th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN ’17). – Acceptance rate: 18%
  34. Silva, J. S., Zhang, P., Pering, T., Boavida, F., Hara, T., & Liebau, N. C. (2017). People-Centric Internet of Things. IEEE Communications Magazine, 55(2).
  35. Frank Mokaya, Roland Lucas, Hae Young Noh and Pei Zhang. Burnout: A Wearable System for Unobtrusive Skeletal Muscle Fatigue Estimation, In Proceedings of the 15th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN ’16). – Acceptance rate: 20%
  36. Zhenhua Jia, Musaab Alaziz, Xiang Chi, Richard Howard, and Yanyong Zhang, Pei Zhang, Wade Trappe, Anand Sivasubramaniam, and Ning An, HB-Phone: a Bed-Mounted Geophone-Based Heartbeat Monitoring System. In Proceedings of the 15th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN ’16). – Acceptance rate: 20%
  37. Sousa Nunes, D., Zhang, P., & Sa Silva, J. (2015). A survey on Human-in-the-Loop applications towards an Internet of All. Communications Surveys & Tutorials, IEEE, 17(2), 944–965.
  38. Chen, X., Purohit, A., Dominguez, C. R., Carpin, S., & Zhang, P. (2015, November). DrunkWalk: Collaborative and Adaptive Planning for Navigation of Micro-Aerial Sensor Swarms. In Proceedings of the 13th ACM Conference on Embedded Networked Sensor Systems (pp. 295-308). ACM. – Acceptance rate: 20%
  39. Mokaya, F., Lucas, R., Noh, H. Y., & Zhang, P. (2015, September). Myovibe: Vibration based wearable muscle activation detection in high mobility exercises. In Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing (pp. 27-38). ACM. – Acceptance rate: 22%
  40. Pan, S., Wang, N., Qian, Y., Velibeyoglu, I., Noh, H. Y., & Zhang, P. (2015, February). Indoor person identification through footstep induced structural vibration. In Proceedings of the 16th International Workshop on Mobile Computing Systems and Applications (pp. 81-86). ACM. Hotmobile 2015. – Acceptance rate: 27%.
  41. Sun, Z., Bose, R., & Zhang, P. (2015). Spartacus: Spatially-Aware Interaction for Mobile Devices Through Energy-Efficient Audio Sensing. GetMobile: Mobile Computing and Communications, 18(4), 11-14.
  42. Sun, Z., Pan, S., Su, Y. C., & Zhang, P. (2013, September). Headio: zero-configured heading acquisition for indoor mobile devices through multimodal context sensing. In Proceedings of the 2013 ACM international joint conference on Pervasive and ubiquitous computing (pp. 33-42). ACM. – Acceptance rate: 23%
  43. Purohit, A., Sun, Z., Pan, S., & Zhang, P. (2013, June). SugarTrail: Indoor navigation in retail environments without surveys and maps. In Sensor, Mesh and Ad Hoc Communications and Networks (SECON), 2013 10th Annual IEEE Communications Society Conference on (pp. 300-308). IEEE. – Acceptance rate: 18%
  44. Sun, Z., Purohit, A., Bose, R., & Zhang, P. (2013, June). Spartacus: spatially-aware interaction for mobile devices through energy-efficient audio sensing. In Proceeding of the 11th annual international conference on Mobile systems, applications, and services (pp. 263-276). ACM. – Acceptance rate: 17%
  45. Mokaya, F. O., Nguyen, B., Kuo, C., Jacobson, Q., Rowe, A., & Zhang, P. (2013, April). MARS: a muscle activity recognition system enabling self-configuring musculoskeletal sensor networks. In Proceedings of the 12th international conference on Information processing in sensor networks (pp. 191-202). ACM. – Acceptance rate: 21%
  46. Purohit, A., Sun, Z., & Zhang, P. (2013, April). Sugarmap: Location-less coverage for micro-aerial sensing swarms. In Information Processing in Sensor Networks (IPSN), 2013 ACM/IEEE International Conference on (pp. 253-264). IEEE. – Acceptance rate: 21%
  47. Sun, Z., Purohit, A., De Wagter, P., Brinster, I., Hamm, C., & Zhang, P. (2011, August). (letter) PANDAA: a physical arrangement detection technique for networked devices through ambient-sound awareness. In ACM SIGCOMM Computer Communication Review (Vol. 41, No. 4, pp. 442-443). ACM.
  48. Zheng Sun, Aveek Purohit, Kaifei Chen, Shijia Pan, Trevor Pering, and Pei Zhang: PANDAA: Physical Arrangement Detection of Networked Devices through Ambient-Sound Awareness. 13th International Conference on Ubiquitous Computing (UBICOMP 2011), September 2011. – Acceptance rate: 16.6%
  49. Purohit, A., Sun, Z., Mokaya, F., & Zhang, P. (2011, April). SensorFly: Controlled-mobile sensing platform for indoor emergency response applications. In Information Processing in Sensor Networks (IPSN), 2011 10th International Conference on (pp. 223-234). IEEE. – Acceptance rate: 20%
  50. Pei Zhang and M. Martonosi, CA-TSL: Energy Adaptation for Targeted System Lifetime in Mobile Ad-Hoc Networks. IEEE Transactions on Mobile Computing. Vol. 9, issue 12, pp. 1794-1808, December 2010. – premier journal on Mobile Computing
  51. Hari, Pradip; Ko, Kevin; Koukoumidis, Emmanouil; Kremer, Ulrich; Martonosi, Margaret; Ottoni, Desiree; Peh, Li-Shiuan; Zhang, Pei. “SARANA: language, compiler and run-time system support for spatially aware and resource-aware mobile computing”. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, vol. 366, issue 1881, pp. 3699-3708, Oct. 2008.
  52. Lenders, V., Koukoumidis, E., Zhang, P., & Martonosi, M. (2008, February). Location-based trust for mobile user-generated content: applications, challenges and implementations. In Proceedings of the 9th workshop on Mobile computing systems and applications (pp. 60-64). ACM. Hotmobile’08. – Acceptance rate: 23%
  53. Zhang, P., & Martonosi, M. (2008, April). Locale: Collaborative localization estimation for sparse mobile sensor networks. In Information Processing in Sensor Networks, 2008. IPSN’08. International Conference on (pp. 195-206). IEEE. – Acceptance rate: 24%
  54. Zhang, P., Sadler, C. M., Lyon, S. A., & Martonosi, M. (2004, November). Hardware design experiences in ZebraNet. In Proceedings of the 2nd international conference on Embedded networked sensor systems (pp. 227-238). ACM. – Acceptance rate: 14%.
  55. Liu, T., Sadler, C. M., Zhang, P., & Martonosi, M. (2004, June). Implementing software on resource-constrained mobile sensors: Experiences with Impala and ZebraNet. In Proceedings of the 2nd international conference on Mobile systems, applications, and services (pp. 256-269). ACM. – Acceptance rate: 13%

Papers in Symposium or Conference Proceedings Fully Reviewed Prior to Publication

  1. M. Mirshekari, J. Fagert, S. Pan, P. Zhang, and H. Noh, “Obstruction-Invariant Indoor Occupant Localization Using Footstep-Induced Structural Vibration,” in Engineering Mechanics Institute (EMI) Conference, Los Angeles, California, USA, 2019. Best Student Paper Award. – Review Process: Anonymous peer review of complete manuscript prior to acceptance.
  2. Ma, R., Liu, N., Xu, X., Wang, Y., Noh, H. Y., Zhang, P., & Zhang, L. (2019, September). A deep autoencoder model for pollution map recovery with mobile sensing networks. In Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers (pp. 577-583). ACM. – Review Process: Anonymous peer review of complete manuscript prior to acceptance.
  3. Zhou, T., Zhang, Y., Chen, X., Mosalam, K. M., Noh, H. Y., Zhang, P., & Zhang, L. (2019, September). P-Loc: a device-free indoor localization system utilizing building power-line network. In Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers (pp. 611-615). ACM. – Review Process: Anonymous peer review of complete manuscript prior to acceptance.
  4. Ruiz, C., Falcao, J., & Zhang, P. (2019, September). AutoTag: visual domain adaptation for autonomous retail stores through multi-modal sensing. In Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers (pp. 518-523). ACM. – Review Process: Anonymous peer review of complete manuscript prior to acceptance.
  5. Lu, Y., Chen, X. L., Wang, B. J., Wang, T. Y., Zhang, P., & Li, Y. (2019, September). Recycling price prediction of renewable resources. In Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers (pp. 571-576). ACM. – Review Process: Anonymous peer review of complete manuscript prior to acceptance.
  6. Ruiz, C., Pan, S., Noh, H. Y., & Zhang, P. (2019, June). WhereWear: Calibration-free Wearable Device Identification through Ambient Sensing. In The 5th ACM Workshop on Wearable Systems and Applications (pp. 29-34). ACM.- Review Process: Anonymous peer review of complete manuscript prior to acceptance.
  7. Chen, X., Xu, S., Fu, H., Joe-Wong, C., Zhang, L., Noh, H. Y., & Zhang, P. (2019, April). ASC: actuation system for city-wide crowdsensing with ride-sharing vehicular platform. In Proceedings of the Fourth Workshop on International Science of Smart City Operations and Platforms Engineering (pp. 19-24). ACM. – Review Process: Anonymous peer review of complete manuscript prior to acceptance.
  8. Ma, R., Xu, X., Wang, Y., Noh, H., Zhang, P., & Zhang, L. (2018). Guiding the Data Learning Process with Physical Model in Air Pollution Inference. IEEE Big Data Workshop on Big Data and AI for Air Quality Estimation, Forecasting, and Health Advice, Seattle, WA. – Review Process: Anonymous peer review of complete manuscript prior to acceptance.
  9. Zhang, Y., Pan, S., Fagert, J., Mirshekari, M., Noh, H., Zhang, P., & Zhang, L. (2018). Occupant-Induced Structure Vibration Dataset in an Office Building. The First International Workshop on Data: Acquisition To Analysis (DATA ’18) in SenSys 2018, Shenzhen, China. ACM. Review Process: Anonymous peer review of complete manuscript prior to acceptance.
  10. Bonde, A., Pan, S., Sangpetch, O., Sangpetch, A., Woramontri, W., & Zhang, P. (2018). Structural vibration sensing to evaluate animal activity on a pig farm. The First International Workshop on Data: Acquisition To Analysis (DATA ’18) in SenSys 2018, Shenzhen, China. ACM. Review Process: Anonymous peer review of complete manuscript prior to acceptance.
  11. Bonde, A., Mirshekari, M., Fagert, J., Pan, S., Noh, H., & Zhang, P. (2018). Seat Vibration for Heart Monitoring in a Moving Automobile. The First International Workshop on Data: Acquisition To Analysis (DATA ’18) in SenSys 2018, Shenzhen, China. ACM. Review Process: Anonymous peer review of complete manuscript prior to acceptance.
  12. Jia, J., Xu, C., Pan, S., Xia, S., Wei, P., Noh, H., Zhang, P., & Jiang, X. (2018). Moisture Based Perspiration Level Estimation. The First Workshop on Combining Physical and Data-Driven Knowledge in Ubiquitous Computing (CPD ’18) in Ubicomp 2018, Singapore. ACM. Review Process: Anonymous peer review of complete manuscript prior to acceptance.
  13. Chen, X., Xu, X., Liu, X., Pan, S., He, J., Noh, H., Zhang, L., & Zhang, P. (2018). PGA: Physics Guided and Adaptive Approach for Mobile Fine-Grained Air Pollution Estimation. The First Workshop on Combining Physical and Data-Driven Knowledge in Ubiquitous Computing (CPD ’18) in Ubicomp 2018, Singapore. ACM. – Review Process: Anonymous peer review of complete manuscript prior to acceptance.
  14. Mirshekari, M., Fagert, J., Bonde, A., Zhang, P., & Noh, H. (2018). Human Gait Monitoring Using Footstep-Induced Floor Vibrations Across Different Structures. The First Workshop on Combining Physical and Data-Driven Knowledge in Ubiquitous Computing (CPD ’18) in Ubicomp 2018, Singapore. ACM. – Review Process: Anonymous peer review of complete manuscript prior to acceptance.
  15. Zhang, Y., Fagert, J., Mirshekari, M., Noh, H., Zhang, P., & Zhang, L. (2018). Occupant Activity Level Estimation Using Floor Vibration. The First Workshop on Combining Physical and Data-Driven Knowledge in Ubiquitous Computing (CPD ’18) in Ubicomp 2018, Singapore. ACM. – Review Process: Anonymous peer review of complete manuscript prior to acceptance.
  16. Yu, T., Pan, S., Xu, S., Chen, X., Mirshekari, M., Fagert, J., Noh, H., & Zhang, P., & Mengshoel, O. (2018). ILPC: Iterative Learning Using Physical Constraints in Real-World Sensing Data. SmartIoT: AI Enhanced IoT Data Processing for Intelligent Applications Workshop at the Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18), New Orleans, LA. – Review Process: Anonymous peer review of complete manuscript prior to acceptance.
  17. Mirshekari, M., Fagert, J., Pan, S., Zhang, P., & Noh, H. (2018). Human Health Tracking through Gait-Induced Floor Vibrations Across Different Structures. 2018 ASCE Engineering Mechanics Institute Conference, Boston, MA. Best Student Paper Award (from Dynamics Committee). – Review Process: Anonymous peer review of complete manuscript prior to acceptance.
  18. Teng, E., Falcao, J. D., Dominguez, C. R., Mokaya, F., Zhang, P., & Iannucci, R. A. (2015). Aerial Sensing and Characterization of Three-Dimensional RF Fields. Second International Workshop on Robotic Sensor Networks part of Cyber-Physical Systems Week 2015. – Review Process: Anonymous peer review of complete manuscript prior to acceptance.
  19. Dominguez, C. R., & Zhang, P. (2015). C3AD: Leveraging Existing Cellular Infrastructure for Charging and Control of Autonomous Drones. Second International Workshop on Robotic Sensor Networks part of Cyber-Physical Systems Week 2015. – Review Process: Anonymous peer review of complete manuscript prior to acceptance.
  20. Purohit, A., Carpin, S., & Zhang, P. Adaptive Planning for Deployment of Micro-Aerial Sensor Swarms. International Workshop on Robotic Sensor Networks, part of Cyber-Physical Systems Week. (2014) – Review Process: Anonymous peer review of complete manuscript prior to acceptance.
  21. Purohit, A., Zhang, P., Sadler, B. M., & Carpin, S. (2014, May). Deployment of swarms of micro-aerial vehicles: from theory to practice. In Robotics and Automation (ICRA), 2014 IEEE International Conference on (pp. 5408-5413). IEEE. – Review Process: Anonymous peer review of complete manuscript prior to acceptance.
  22. Frank Mokaya, Aveek Purohit, Pei Zhang, “SensorFly: Flying Sensor Network for Indoor Situational Awareness in a Disaster”, The Wireless Personal Mul timedia Communications Symposium (WPMC’12) Sep. 2012. – Review Process: Anonymous peer review of complete manuscript prior to acceptance.
  23. Sun, Z., Purohit, A., Pan, S., Mokaya, F., Bose, R., & Zhang, P. (2012, February). Polaris: getting accurate indoor orientations for mobile devices using ubiquitous visual patterns on ceilings. In Proceedings of the Twelfth Workshop on Mobile Computing Systems & Applications (p. 14). ACM. – Review Process: Anonymous peer review of complete manuscript prior to acceptance.
  24. Frank Mokaya, Eric Chen, Ian Zhang, Pei Zhang, “A Communication Framework For Enabling Control of Groups of Resource Constrained Robots”, NASA Conference on Space Mission Challenges in Information Technology (SMC-IT), August 2011 – Review Process: Anonymous peer review of complete manuscript prior to acceptance.
  25. Cheng, H. T., Sun, Z., & Zhang, P. (2011, March). Imirok: Real-time imitative robotic arm control for home robot applications. In Pervasive Computing and Communications Workshops (PERCOM Workshops), 2011 IEEE International Conference on (pp. 360-363). IEEE. – Review Process: Anonymous peer review of complete manuscript prior to acceptance.
  26. Pering, T., Zhang, P., Chaudhri, R., Anokwa, Y., & Want, R. (2007). The psi board: Realizing a phone-centric body sensor network. In 4th International Workshop on Wearable and Implantable Body Sensor Networks (BSN 2007) (pp. 53-58). Springer Berlin Heidelberg. – Review Process: Anonymous peer review of complete manuscript prior to acceptance.
  27. Zhang, P., Sadler, C. M., & Martonosi, M. (2006, November). Middleware for long-term deployment of delay-tolerant sensor networks. In Proceedings of the international workshop on Middleware for sensor networks (pp. 13-18). ACM. – Review Process: Anonymous peer review of complete manuscript prior to acceptance.

Book Chapters

  1. Pei Zhang, “SensorFly: Flying Sensor Network for Indoor Situational Awareness in a Disaster”, Book Chapter: Disaster Management, 2012.
  2. Pei Zhang, Margaret Martonosi. “LOCALE: Collaborative Localization Estimation for Sparse Mobile Sensor Networks”. Chapter in Handbook of Research on Mobile Software Engineering: Design Implementation and Emergent Applications, Paulo S.C. Alencar, Donald Cowan (editors), IGI Global, March 2012.
  3. Pei Zhang “SensorFly: A Flying Pervasive Sensor Network”. Chapter in Pervasive Adaptation, The Next Generation Pervasive Computing Research Agenda, Alois Ferscha, Institute for Pervasive Computing, Johannes Kepler University Linz. June 2011
  4. Pei Zhang, Chris Sadler, Ting Liu, Ilya Fischhoff, Margaret Martonosi, Stephen A. Lyon, Daniel I. Rubenstein. Habitat Monitoring with ZebraNet: Design and Experiences. Chapter in Wireless Sensor Networks: A Systems Perspective, N. Bulusu and S. Jha (editors), Artech House, 2005.

Other Papers in Symposium or Conference Proceedings

  1. Fagert, J., Mirshekari, M., Pan, S., Zhang, P., & Noh, H. Y. (2019). Characterizing Structural Changes to Estimate Walking Gait Balance. In Dynamics of Civil Structures, Volume 2 (pp. 333-335). Springer, Cham.
  2. Smailagic, A., Costa, P., Gaudio, A., Khandelwal, K., Mirshekari, M., Fagert, J., … & Campilho, A. (2019). O-MedAL: Online Active Deep Learning for Medical Image Analysis. arXiv preprint arXiv:1908.10508.
  3. Xu, S., Chen, X., Pi, X., Joe-Wong, C., Zhang, P., & Noh, H. Y. (2019, March). Incentivizing vehicular crowdsensing system for large scale smart city applications. In Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2019 (Vol. 10970, p. 109701C). International Society for Optics and Photonics.
  4. Fagert, J., Mirshekari, M., Pan, S., Zhang, P., & Noh, H. Y. (2019). Structural Property Guided Gait Parameter Estimation Using Footstep-Induced Floor Vibrations. In Dynamics of Civil Structures, Volume 2 (pp. 191-194). Springer, Cham.
  5. Pan, S., Mirshekari, M., Fagert, J., Zhang, P., & Noh, H. (2018). Collaborative Sensor Grouping for Indoor Human Sensing through Structural Characterization. The 7th World Conference on Structural Control and Monitoring (WCSCM), 2018, Qingdao, China. Invited talk.
  6. Fagert, J., Mirshekari, M., Pan, S., Zhang, P., & Noh, H. (2017). Characterizing Left-Right Gait Balance Using Footstep-Induced Structural Vibrations. SPIE Smart Structures/NDE conference, Portland, OR.
  7. Fagert, J., MIRSHEKARI, M., PAN, S., ZHANG, P., & NOH, H. Y. (2017). Monitoring Hand-Washing Practices using Structural Vibrations. Structural Health Monitoring 2017.
  8. Mirshekari, M., Fagert, J., Pan, S., Zhang, P., & Noh, H. (2017). Occupant Localization in Obstructed Indoor Environments using Floor Vibrations. Proceedings of the 2016 ASCE Engineering Mechanics Institute Conference. San Diego, CA.
  9. Mirshekari, M., Zhang, P., & Noh, H. (2017). Calibration-Free Footstep Frequency Estimation using Structural Vibration. IMAC XXXV A Conference and Exposition on Structural Dynamics, Garden Grove, CA, USA.
  10. Xu, S., Zhang, P., & Noh, H. (2017). Information Theoretic Approach for Seismic Damage Localization. The 16th World Conference on Earthquake (16WCEE), Santiago, Chile.
  11. Pan, S., Mirshekari, M., Zhang, P., & Noh, H. (2016). Occupant Traffic Estimation through Structural Vibration Sensing. SPIE Smart Structures/NDE conference, Las Vegas, NV.
  12. Mirshekari, M., Pan, S., Zhang, P., & Noh, H. (2016). Characterizing Wave Propagation to Improve Indoor Step-Level Person Localization using Floor Vibration. SPIE Smart Structures/NDE conference, Las Vegas, NV.
  13. Lam, M., Mirshekari, M., Pan, S., Zhang, P., & Noh, H. (2016). Robust Occupant Detection Through Step-Induced Floor Vibration By Incorporating Structural Characteristics. IMAC XXXIV A Conference and Exposition on Structural Dynamics, Orlando, FL, USA.
  14. Pan, S., Bonde, A., Zhang, L., Zhang, P., & Noh, H. (2014). BOES: Building Occupancy Estimation System Using Sparse Ambient Vibration Monitoring. SPIE’s 21st Annual International Symposium on Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, San Diego, CA.
  15. Zheng, Y., Zhang, L., Zhang, P. & Noh, H. (2013). Understanding Environmental Effect on Building Vibration for Structural Health Monitoring Using Event Detection and Causal Analysis. The 9th International Workshop on Structural Health Monitoring, Stanford, CA, USA.
  16. Pallav Vyas, Divya Vavili, Dilip Gudlur, Faisal Luqman, Pei Zhang, “SMILAS – Sensor based Map generation for Indoor Location Aware Systems”, ACM SIGSPATIAL International Workshop on Indoor Spatial Awareness (ISA 2012).
  17. Pei Zhang, and Aveek Purohit: The Cloud Meets the Crowd: Framework for Distributed Cloud Sensing. Mobile Sensing: Challenges, Opportunities and Future Directions. Ubicomp Workshop. September 2011.
  18. Aveek Purohit and Pei Zhang, Controlled-Mobile Sensing Simulator for Indoor Fire Monitoring. In the First IEEE Workshop on Design, Modeling and Evaluation of Cyber Physical Systems (CyPhy’11), Istanbul, Turkey, July 2011.
  19. Pei Zhang, SensorFly: A Collaborative Lightweight Rapidly Deployable Aerial Sensing System. NSF Workshop on Pervasive Computing at Scale (PeCS). Jan 2011.

Published Abstracts, Discussions, Reviews

  1. Xu, S., Chen, X., Pi, X., Joe-Wong, C., Zhang, P., & Noh, H. Y. (2019, April). Vehicle dispatching for sensing coverage optimization in mobile crowdsensing systems. In 2019 18th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN) (pp. 311-312). IEEE.
  2. Ruiz, C., Pan, S., Noh, H. Y., Zhang, P., & Han, J. (2019, April). Secure pairing via video and IMU verification: demo abstract. In Proceedings of the 18th International Conference on Information Processing in Sensor Networks (pp. 333-334). ACM.
  3. Fagert, J., Mirshekari, M., Pan, S., Zhang, P., & Noh, H. Y. (2019, April). Gait health monitoring through footstep-induced floor vibrations. In 2019 18th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN) (pp. 319-320). IEEE.
  4. Bonde, A., Noh, H. Y., Pan, S., & Zhang, P. (2019, April). Demo Abstract: Deskbuddy: an Office Activity Detection System. In 2019 18th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN) (pp. 352-353). IEEE.
  5. Ruiz, C., Pan, S., Noh, H. Y., Zhang, P., & Han, J. (2019, April). Demo Abstract: Secure Pairing via Video and IMU Verification. In 2019 18th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN) (pp. 333-334). IEEE.
  6. Ma, R., Xu, X., Noh, H. Y., Zhang, P., & Zhang, L. (2018, November). Generative model based fine-grained air pollution inference for mobile sensing systems. In Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems (pp. 426-427). ACM.
  7. Huang, C., Xu, F., Li, Y., Chen, X., & Zhang, P. (2018, November). Locally Differentially Private Participant Recruitment for Mobile Crowdsourcing. In Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems (pp. 323-324). ACM.
  8. Ma, R., Xu, X., Noh, H., Zhang, P., & Zhang, L. Poster Abstract: Generative Model Based Fine-Grained Air Pollution Inference for Mobile Sensing Systems. Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems (SenSys 2018). Shenzhen, China. Best Poster Runner-Up.
  9. Zhang, Y., Pan, S., Fagert, J., Mirshekari, M., Noh, H. Y., Zhang, P., & Zhang, L. (2018, November). Vibration-Based Occupant Activity Level Monitoring System. In Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems (pp. 349-350). ACM.
  10. Bannis, A., Noh, H. Y., & Zhang, P. (2018, November). Robust Detection of Motor-Produced Audio Signals. In Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems (pp. 412-413). ACM.
  11. Ruiz, C., Pan, S., Sadde, A., Noh, H., & Zhang, P. (2018). Demo Abstract: Posepair: pairing IoT devices through visual human pose analysis. Proceedings of the 17th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN ’18). Porto, Portugal.
  12. Liu, X., Chen, X., Xu, X., Mai, E., Noh, H. Y., Zhang, P., & Zhang, L. (2017, November). Delay Effect in Mobile Sensing System for Urban Air Pollution Monitoring. In Proceedings of the 15th ACM Conference on Embedded Network Sensor Systems (p. 73). ACM.
  13. Liu, X., Xu, X., Chen, X., Mai, E., Noh, H. Y., Zhang, P., & Zhang, L. (2017, November). Individualized Calibration of Industrial-Grade Gas Sensors in Air Quality Sensing System. In Proceedings of the 15th ACM Conference on Embedded Network Sensor Systems (p. 74). ACM.
  14. Mirshekari, M., Fagert, J., Pan, S., Zhang, P., & Noh, H. (2017). Abstract: Occupant Localization in Obstructed Indoor Environments using Floor Vibrations. 2017 ASCE Engineering Mechanics Institute Conference, San Diego, CA.
  15. Bonde, A., Pan, S., Noh, H., & Zhang, P. (2017). Demo Abstract: Heart and Sole: Shoe-based heart rate monitoring. Proceedings of the 15th International Conference on Information Processing in Sensor Networks (IPSN ’17). Pittsburgh, PA.
  16. Bannis, A., Noh, H., & Zhang, P. (2017). Poster Abstract: Interdependent component framework for simulating indoor internet-of-things systems (intercom). Proceedings of the 15th International Conference on Information Processing in Sensor Networks (IPSN ’17). Pittsburgh, PA.
  17. Jia, Z., Howard, R. E., Zhang, Y., & Zhang, P. (2017). Demo Abstract: HB-Phone: A Bed-Mounted Geophone-Based Heartbeat Monitoring System. Proceedings of the 15th International Conference on Information Processing in Sensor Networks (IPSN ’17). Pittsburgh, PA.
  18. Zhou, T., Zhang, Y., Chen, X., Zhang, P., & Zhang, L. (2017, April). E-loc: indoor localization through building electric wiring. In Proceedings of the 15th International Conference on Information Processing in Sensor Networks (IPSN ’17). Pittsburgh, PA. (pp. 311-312). (Best Poster Award)
  19. Ruiz, C., Chen, X., & Zhang, P. (2017, April). Hybrid and adaptive drone identification through motion actuation and vision feature matching. In Proceedings of the 16th ACM/IEEE International Conference on Information Processing in Sensor Networks (pp. 327-328). ACM.
  20. Xu, X., Chen, X., Liu, X., Noh, H., Zhang, P., & Zhang, L. Poster Abstract: Gotcha II – Deployment of a Vehicle-based Environmental Sensing System. Proceedings of the 14th ACM Conference on Embedded Networked Sensor Systems (SenSys 2016). Stanford, CA.
  21. Chen, X., Xu, X., Liu, X., Noh, H., Zhang, L., & Zhang, P. Poster Abstract: HAP – Fine-Grained Dynamic Air Pollution Map Reconstruction by Hybrid Adaptive Particle Filter. Proceedings of the 14th ACM Conference on Embedded Networked Sensor Systems (SenSys 2016). Stanford, CA. Best Poster Runner-Up.
  22. Xu, S., Zhang, P., Zhang, L., & Noh, H. (2016). Poster Abstract: An Information Theoretic Approach for Indirect Train Traffic Monitoring Using Building Vibration. Proceedings of the 14th ACM Conference on Embedded Networked Sensor Systems (SenSys 2016). Stanford, CA.
  23. Mirshekari, M., Zhang, P., & Noh, H. (2016). Poster Abstract: Non-intrusive Occupant Localization Using Floor Vibrations in Dispersive Structure. Proceedings of the 14th ACM Conference on Embedded Networked Sensor Systems (SenSys 2016). Stanford, CA.
  24. Carlos Ruiz, Xinlei Chen, Lin Zhang, Pei Zhang. (2016) Demo Abstract: Collaborative Localization and Navigation in Heterogeneous UAV swarms. Proceedings of the 14th ACM Conference on Embedded Networked Sensor Systems (SenSys 2016). Stanford, CA. (Best Demo Award)
  25. Pan, S., Lyons, K., Mirshekari, M., Noh, H., & Zhang, P. (2016). Poster Abstract: Multiple Pedestrians Tracking through Ambient Structural Vibration Sensing. Proceedings of the 14th ACM Conference on Embedded Networked Sensor Systems (SenSys 2016). Stanford, CA. Best Poster Award.
  26. Mirshekari, M., Zhang, P., & Noh, H. (2016). Abstract: Structure-Invariant Occupant Detection Using Footstep-Induced Structural Vibration. Proceedings of the 2016 ASCE Engineering Mechanics Institute Conference. Nashville, TN.
  27. Mirshekari, M., Pan, S., Bannis, A., Lam, M., Zhang, P., & Noh, H. Y. (2015). Poster Abstract: Step-level person localization through sparse sensing of structural vibration. Proceedings of the 14th International Conference on Information Processing in Sensor Networks (IPSN ’15). Seattle, WA. (pp. 376-377). ACM. Best Poster Award.
  28. Pan, S., Mirshekari, M., Noh, H. Y., & Zhang, P. (2015). Poster Abstract: Structural Sensing System with Networked Dynamic Sensing Configuration. Proceedings of the 14th International Conference on Information Processing in Sensor Networks (IPSN ’15). Seattle, WA. pp. 344-345. ACM, 2015.
  29. Bannis, A., Pan, S., & Zhang, P. (2014, September). Adding directional context to gestures using doppler effect. In Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication (pp. 5-8). ACM.
  30. Shijia Pan, Bo Liu, Lin Zhang, Pei Zhang, “Demo Abstract: iCEnergy: Augmen ted Reality Display for Intuitive Energy Monitoring”, ACM Conference on Embedded Networked Sensor Systems (SenSys’12)
  31. Frank Mokaya, Brian Nguyen, Cynthia Kuo, Quinn Jacobson, Pei Zhang, “Demo Abstract: MARS: A Real Time Motion Capture and Muscle Fatigue Monitoring Tool”, ACM Conference on Embedded Networked Sensor Systems (SenSys’12)
  32. Frank Mokaya, Cynthia Kuo, Pei Zhang ECE, “MARS: A Muscle Activity Recognition System Using Inertial Sensors”, ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN), 2012 (Best poster paper runner-up).
  33. A. Purohit, F. Mokaya, S. Pan, P. Zhang, “Collaborative Indoor Sensing With The SensorFly Aerial Sensor Network”, ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN) Demo, 2012.
  34. Zheng Sun, Aveek Purohit, Philippe DeWagter, Irina Brinster, Chorom Hamm, and Pei Zhang, “(Demo abstract) PANDAA: A Physical Arrangement Detection Technique for Networked Devices through Ambient-Sound Awareness”. In the conference of the ACM Special Interest Group on Data Communication (SIGCOMM) 2011, Toronto, ON, Canada, August 2011.
  35. Zheng Sun, Aveek Purohit, Kathleen Yang, Neha Pattan, Dan Siewiorek, Asim Smailagic, Ian Lane, and Pei Zhang. “CoughLoc: Location-Aware Indoor Acoustic Sensing for Non-Intrusive Cough Detection”. In the International Workshop on Emerging Mobile Sensing Technologies, Systems, and Applications. Mobisense 2011 in conjunction with Pervasive, San Francisco, CA, June 2011.
  36. Huang, L. S., Sun, F. T., & Zhang, P. (2010, November). TouchAble: a camera-based multitouch system. In Proceedings of the 8th ACM Conference on Embedded Networked Sensor Systems (pp. 405-406). ACM.
  37. Z. Sun, A. Purohit, Kathleen Yang, N. Pattan, D. Siewiorek, A. Smailagic, I. Lane, P. Zhang, Poster:VMA: An Inexpensive Indoor Acoustic Sensing Platform for In-home Patient Monitoring, The 8th International Conference on Mobile Systems, Applications, and Services. June, 2010.
  38. Aveek Purohit and Pei Zhang. “SensorFly: A Controlled-Mobile Aerial Sensor Network”. SenSys 2009. The Seventh ACM Conference on Embedded Networked Sensor Systems. Demo Session Nov, 2009. (best demo award)
  39. Yong Wang, Pei Zhang, Ting Liu, Chris Sadler and Margaret Martonosi. “Movement Data Traces from Princeton ZebraNet Deployments”. CRAWDAD Database. http://crawdad.cs.dartmouth.edu/. 2007.
  40. Pei Zhang and Margaret Martonosi. “Poster: Energy Adaptation Techniques to Optimize Data Delivery in Store-and-Forward Sensor Networks”, The Fourth ACM Conference on Embedded Networked Sensor Systems. Nov, 2006.

Other Writings (Technical Reports and Testimony)

  1. Pei Zhang, “SensorFly: A Minimalistic Approach for Situational Awareness in an Emergency”, Awareness Magazine, 2012.

Popular Media Coverage

  1. Carnegie Mellon University Press Release, “Good Vibrations Indicate Signs of Healthy Pigs”, August 2019
  2. Phys.org, “New suit can enhance athletes’ performance with data”, July 2017
  3. ECE News “Enhancing athletes’ performance with data”, July 2017
  4. Phys.org, “Carnegie Mellon engineers develop fall-prevention sensors”, May 2016.
  5. Senior Living, “Sensors could help prevent falls” Apr 2016.
  6. Senior Housing News, “Families Crave Better Fall Prevention in Assisted Living”, Apr 2016.
  7. Reuters, “Carnegie Mellon University Survey Finds 81% of Americans are Seeking Technology Solutions to Combat their Worry about Falls Among Elderly Adults”, Mar 2016
  8. The Business Journal, “Carnegie Mellon University Survey Finds 81% of Americans are Seeking Technology Solutions to Combat their Worry about Falls Among Elderly Adults”, Mar 2016
  9. MedCity News “Survey: 4 in 5 want technology to prevent falls in elderly”, Mar 2016.
  10. 集微网, “老人防摔传感器！老龄化需要的新装” Mar 2016.
  11. PCWorld, “Researchers envisage swarms of tiny drones for dangerous rescue missions”, Aug 2015.
  12. Computerworld, “Swarms of tiny drones could be used for rescue missions”, Aug 2015.
  13. Michigan Public Radio “Could drones detect leaks at oil and gas sites?”, Mar 2015.
  14. Boston Globe “At Harvard, tiny robots ‘swarm’ into shape”, Mar, 2014
  15. CNET TV “Sensors in Vibrado sleeve help you nail basketball shots: CNET News Video”
  16. NBC NEWS “Drone Swarms Could Be Lifesaver in Disasters”,
  17. CNN “This sleeve’s got game”
  18. The Cable Show, “Wearable Sensors” 2013
  19. Disc overy Channel, “Muscle Activity Recognition System (MARS)”, Dec 2013
  20. CNET TV “Always On: Helibots to the rescue!”
  21. CBS, SMART-PLANET “Carnegie Mellon’s flying robots”
  22. DISCOVERY SCIENCE CHANNEL “Sci Fi Science with Michio Kaku (Season 2 Premier Episode)”
  23. DISCOVERY CHANNEL (Russian) “Swarming Drones” 2011
  24. BBC FOCUS MAGAZINE “Swarm Bots (Cover Story)”
  25. POPULAR SCIENCE “Aerobot Invasion (Cover Story)”
  26. NEW SCIENTIST “Networked minicopters can’t be kept down”
  27. WIRED “SensorFly robots hunt in packs”
  28. MAKEZINE “Self-righting autonomous swarming robots”
  29. BOT JUNKIE “SensorFly survives racket beatdown”
  30. Carnegie Mellon CIT Feature “SensorFly Wins Best Demo at SenSys 2009”
  31. Carnegie Mellon Homepage Stories “SensorFly for Hazardous Situations”
  32. National Science Foundation Special Report “The Secret Lives of Wild Animals”
  33. CNN “Endangered zebra life caught on GPS”
  34. BBC Radio 4 “The ‘Zebranet’”