Bucknell University // Associate Professor of Computer Science and Electrical and Computer Engineering
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Research

Research Interests

Cyber-physical systems, ubiquitous/pervasive computing, mobile computing, IoT/wireless sensor networks, network protocols, distributed systems, networked embedded systems. My research results in novel hardware/software solutions to interdisciplinary problems.

For ongoing research projects, see the Students page.

Publications (also see Google scholar):

2023

Lucille E. Cullen, Alan Marchiori, David Rovnyak, “Revisiting aliasing noise to build more robust sparsity in nonuniform sampling 2D-NMR,” Magnetic Resonance in Chemistry, 2023, https://doi.org/10.1002/mrc.5340.

William Jackson, Alan Marchiori, Stewart J. Thomas, Elizabeth Capaldi, Sean Reese, “Verifying IMU Suitability for Recognition of Freshwater Mussel Behaviors,” to appear in the 2023 IEEE International Symposium on Inertial Sensors & Systems (IEEE INERTIAL), 2023.

2022

Ding Zhang, Alan Marchiori, and Joshua Stough, “Smartphone-Based Turbidity Estimation with Inherent Calibration,” to appear in the Proceedings of the 2022 International Conference on Computational Science and Computational Intelligence, Research Track on Signal & Image Processing, Computer Vision & Pattern Recognition (CSCI-RTPC).

Alan Marchiori, “Labtool: A Command-Line Interface Lab Assistant and Assessment Tool,” Proceedings of SIGCSE ’22: ACM Technical Symposium On Computer Science Education, 2022.

2019

Michael Santamaria, Alan Marchiori, “Demystifying LoRaWAN Security and Capacity,” Proceedings of the 29th IEEE International Telecommunication Networks and Applications Conference (ITNAC), 2019.

Gillett, D.; Marchiori, A. A Low-Cost Continuous Turbidity Monitor. Sensors 2019, 19, 3039.

Marchiori A, Li Y, Evans J. Design and Evaluation of IoT-Enabled Instrumentation for a Soil-Bentonite Slurry Trench Cutoff WallInfrastructures. 2019; 4(1):5.

2017

Malusis, M.A., Evans, J.C., Jacob, R.W., Ruffing, D., Barlow, L.C., Marchiori, A.M., “Construction and Monitoring of an Instrumented Soil-Bentonite Cutoff Wall: Field Research Case Study,” Central Pennsylvania Geotechnical Conference, Hershey, PA, 2017.

Keyi Zhang and Alan Marchiori, “Demo Abstract: PlanIt and DQ-N for Low-Power Wide-Area Networks,” Proceedings of the 2nd ACM/IEEE International Conference on Internet-of-Things Design and Implementation (IoTDI), 2017.

Alan Marchiori, “Maximizing Coverage in Low-Power Wide-Area IoT Networks,” The First International Workshop on Mobile and Pervasive Internet of Things (PerIoT), 2017.

Keyi Zhang, Alan Marchiori, “Crowdsourcing Low-Power Wide-Area IoT Networks,” Proceedings of the 15th IEEE International Conference on Pervasive Computing and Communications (PerCom), 2017.

Jensen, C. D., Marchiori, A. and Gerstle, N. (2017), Engineering sensor networks for energy studies of the built environment. Environ. Prog. Sustainable Energy, 36: 539–547. doi:10.1002/ep.12497.

2016

Keyi Zhang, “A Passive Multi-Channel Synchronization Solution for IoT,” Proceedings of the 8th annual Wireless of the Students, by the Students, for the Students (S3) Workshop part of MobiCom 2016.

Edward Prescott, Colby Rome, Colin Heinzmann, Matthew Hawkins, Alan Marchiori, Benjamin Hayes, “HydroSense: An Open Platform for Hydroclimatic Monitoring,” Proceedings of the 2nd IEEE International Conference on Smart Computing (SMARTCOMP), 2016.

Keyi Zhang, Alan Marchiori, “Natural Language Search of Sensor Data,” Proceedings of the 13th IEEE Workshop on Managing Ubiquitous Communications and Services (MUCS), 2016.

2015

Keyi Zhang, Alan Marchiori, “Extending Semantic Sensor Networks with QueryML,” Proceedings of the IEEE International Conference on Pervasive Computing and Communications, Work-in-progress session (PerCom), 2015.

2014

Sanjay Bajekal, Nicholas Soldner, Cagatay Tokgoz, Brian Bouquillon, Mark Davis, Alan Marchiori, “Rotor Wireless Load and Motion Monitoring Sensor Network,” Presented at the Seventieth Annual American Helicopter Society Forum (AHS), 2014.

2012

Alan Marchiori, Qi Han, William C. Navidi, and Lieko Earle, “Building the Case For Automated Building Energy Management,” Proceedings of the Fourth ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Buildings (BuildSys), held in conjunction with ACM SenSys, 2012.

2011

Alan Marchiori, Douglas Hakkarinen, Qi Han, and Lieko Earle, “Circuit-Level Load Monitoring for Household Energy Management,” IEEE Pervasive Computing’s special issue on smart energy systems, Jan.-Mar. 2011.

Alan Marchiori and Qi Han, “PIM-WSN: Efficient Multicast for IPv6 Wireless Sensor Networks,” Proceedings of the Twelfth IEEE International Symposium On a World of Wireless Mobile and Multimedia Networks (WoWMoM), 2011.

2010

Alan Marchiori and Qi Han, “Distributed Wireless Control for Building Energy Management,” Proceedings of the Second ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Buildings (BuildSys), held in conjunction with ACM SenSys, 2010.

Alan Marchiori, Lin Guo, Josh Thomas, and Qi Han, “Realistic Performance Analysis of WSN Protocols Through Trace Based Simulation,” Proceedings of the Seventh ACM International Symposium on Performance Evaluation of Wireless Ad hoc, Sensor, and Ubiquitous Networks (PE-WASUN), 2010.

2009

Alan Marchiori and Qi Han, “A Two-stage Bootloader to Support Multi-application Deployment and Switching in Wireless Sensor Networks,” Proceedings of the Seventh International Conference on Embedded and Ubiquitous Computing (EUC), 2009.

Alan Marchiori and Qi Han, “Using Circuit-Level Power Measurements in Household Energy Management Systems,” Proceedings of the First ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Buildings (BuildSys), held in conjunction with ACM SenSys, 2009.

2008

Alan Marchiori and Qi Han, “A Foundation for Interoperable Sensor Networks with Internet Bridging,” Proceedings of the Fifth Workshop on Embedded Networked Sensors (HotEmNets), Charlottesville, Virginia, 2008.

Archived (inactive) Projects

http://pecs.mines.edu/trac/

PhD Dissertation

Network and Systems Support for Building Energy Monitoring and Control Using Wireless Sensor Networks.