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Publications

Papers, datasets, and patents

Work across acoustic diagnostics, connected vehicles, sensing, artificial intelligence, robotics, cybersecurity, and education.

New in 2026

Acoustic intelligence

Cross-Device Spectrum Correction

Tashfain Ahmed, Mohammadali Saffary, and Joshua Siegel. ACM GoodIT 2026.

Correcting device-to-device variation for sustainable acoustic monitoring of everyday mechanical equipment.

ConformalMOS

Kehinde Elelu, Joshua Siegel, Mohammadali Saffary, Tashfain Ahmed, Simeon Babatunde, and Ebuka Okpala. Interspeech 2026.

Audio quality prediction with conformal intervals and ordinal modeling.

Also in 2026: a multi-session, multi-device tool-degradation dataset and the Pareto Data Framework for resource-efficient edge and IoT machine learning.

Full publication record

123 records, grouped by year. Titles link to a publisher, DOI, preprint, dataset, patent, or an exact-title Google Scholar search when the source bibliography has no direct URL.

2026

  1. Kehinde Elelu, Joshua Siegel, Mohammadali Saffary, Tashfain Ahmed, Simeon Babatunde, and Ebuka Okpala. ConformalMOS: Uncertainty-aware MOS prediction with conformal intervals and ordinal modeling. Interspeech 2026.
  2. Tashfain Ahmed, Mohammadali Saffary, and Joshua Siegel. Cross-device spectrum correction for sustainable acoustic monitoring of everyday mechanical equipment. ACM GoodIT 2026.
  3. Savvy Barnes, Maricarmen Davis, and Josh Siegel. Driving accessibility: Shifting the narrative & design of automated vehicle systems for persons with disabilities through a collaborative scoring system. arXiv preprint arXiv:2601.02651.
  4. Josh Siegel, Daniel Morris, Shaunak D Bopardikar, Pragyan Dahal, and Judson Herzer. Integrating the indy autonomous challenge into scalable coursework, research, and outreach at a land-grant public university. 2026 ASEE north central section conference.
  5. Josh Siegel, Kieren Reynolds, Gregory C Miller, Katherine Sinclair, and Pragyan Dahal. Leading educational transformation: How one secondary school pioneered university research integration to inspire STEM exploration. 2026 ASEE north central section conference.
  6. Tashfain Ahmed, Mohammadali Saffary, Kehinde Elelu, Salman Khalid, and Joshua Siegel. Multi-session, multi-device acoustic dataset for progressive tool degradation monitoring. Data in Brief, pp. 112923.
  7. G Pappas, J Siegel, R Howard, D Whittinghill, and C Mousas. Oracle numbers: A gamified human-AI interaction tool for teaching computational logic in distance learning via a simulated virtual agent. INTED 2026.
  8. Tashfain Ahmed and Joshua Siegel. Pareto data framework for resource-efficient edge and IoT machine learning using minimum viable data. Cyber-Physical Systems, pp. 1-32.
  9. T Liu, Z Li, Y Liu, L Mao, K Gkritza, JE Siegel, and G Pappas. SUSTAINABLE TRANSPORTATION EDUCATION: A GAMIFIED DRIVING SIMULATION TOWARDS DYNAMIC WIRELESS POWER TRANSFER LEARNING. EDULEARN26 proceedings, pp. 0674.
  10. Joshua Siegel and Tashfain AHMED. System and method for operating a device with a reduced data set.
  11. Georgios Pappas, Joshua E Siegel, Carlos Rafael Morales, and David Whittinghill. Virtual courtroom: A serious game for distance learning law studies. INTED2026 proceedings, pp. 1213.

2025

  1. Georgios Pappas, Panagiotis Themistocleous, Efstathia Nicodemou, Evgenia Constantinou, and Joshua Siegel. A gamified virtual library towards enhancing student engagement in distance learning. 19th annual international technology, education and development conference.
  2. Michael Evans, Marical Machado, Rickey Johnson, Anna Vadella, Luis Escamilla, Benat Froemming-Aldanondo, Tatiana Rastoskueva, Milan Jostes, Devson Butani, Ryan Kaddis, and others. A roadside unit for infrastructure assisted intersection control of autonomous vehicles. IEEE EIT 2025.
  3. Kehinde Abdulsalam Elelu, Joshua E Siegel, Saffary Ali, Babatunde Simeon, Ebuka Okpala, and others. Convm2d2: Improving generative music evaluation using self-supervised alternative to clap. TTIC summer workshop on foundations of speech and audio foundation models 2025.
  4. Benat Froemming-Aldanondo, Tatiana Rastoskueva, Michael Evans, Marcial Machado, Anna Vadella, Rickey Johnson, Luis Escamilla, Milan Jostes, Devson Butani, Ryan Kaddis, and others. Evaluating low-resource lane following algorithms for compute-constrained automated vehicles. IEEE AIRC 2025.
  5. Georgios Pappas, Dimitrios Lappas, Panagiotis Karampelas, Joshua Siegel, Ioannis Templalexis, Stavros Stavrou, and Sriram Krishnan. Generic drone simulator: Design, development and user testing in a virtual search and rescue mission. IEEE Computer Graphics and Applications.
  6. Joshua Siegel and Chan-Jin Chung. Hands-on learning in autonomous vehicle development: Outcomes of an NSF REU program using real vehicles. 15th IEEE integrated STEM education conference.
  7. Chan-Jin Chung and Joshua Siegel. Impact of the COVID-19 pandemic on robofest: A longitudinal analysis of STEM education outcomes. 15th IEEE integrated STEM education conference.
  8. Griffin Klevering, Kanishka Wijewardena, Xiao Zhang, Joshua Siegel, and Li Xiao. PlaCoB: Collaborative beamforming for long range platoon-to-platoon communication. 2025 IEEE 22nd international conference on mobile ad-hoc and smart systems (MASS), pp. 447-455.
  9. Josh Siegel and Kai Yang. Redefining excellence: Revolutionizing quality management with deep technology. Quality Progress, vol. 58, no. 3, pp. 30-37.
  10. Gregory Falco and Joshua Siegel. System and method for metamaking and metaverse rights management.
  11. Gregory Falco and Joshua Siegel. System and method implementing a distributed audit trail. Google Patents.
  12. Georgios Pappas, Satyanarayanan Seshadri, Sriram Krishnan, Joshua Siegel, Iliana Papamichael, and Antonis A Zorpas. Transforming energy audit data into a gamified tool for stakeholder training. Available at SSRN 5128830.

2024

  1. Mohammadali Saffary, Nishan Inampudi, and Joshua E Siegel. Developing a taxonomy of elements adversarial to autonomous vehicles. arXiv preprint arXiv:2403.00136.
  2. Beñat Froemming-Aldanondo, Tatiana Rastoskueva, Michael Evans, Marcial Machado, Anna Vadella, Rickey Johnson, Luis Escamilla, Milan Jostes, Devson Butani, Ryan Kaddis, and others. Developing, analyzing, and evaluating self-drive algorithms using drive-by-wire electric vehicles. arXiv e-prints.
  3. Michael Khalfin, Jack Volgren, Matthew Jones, Luke LeGoullon, Joshua Siegel, and Chan-Jin Chung. Developing, analyzing, and evaluating vehicular lane keeping algorithms under dynamic lighting and weather conditions using electric vehicles. arXiv preprint arXiv:2406.06899.
  4. Siddhartha Bhattacharya, Daniel Helo, and Joshua Siegel. Impact of network topology on byzantine resilience in decentralized federated learning. arXiv preprint arXiv:2407.05141.
  5. Tashfain Ahmed and Josh Siegel. Pareto data framework: Steps towards resource-efficient decision making using minimum viable data (MVD). arXiv preprint arXiv:2409.12112.
  6. Kenneth Chan, Shlomi Zilberman, Nicholas Polanco, Betty H. C. Cheng, and Joshua Siegel. SafeDriveRL: Combining non-cooperative game theory with reinforcement learning to explore and mitigate human-based uncertainty for autonomous vehicles. Software engineering for adaptive and self-managing systems.
  7. A Bagiati, K Kennedy, A Salazar-Gomez, J Siegel, and C Breazeal. Scenario-based emerging technologies workshop for military leaders. 2024 ASEE annual conference & exposition.
  8. Chain-Jin Chung, Joshua Siegel, and Mark Wilson. Undergraduate research experiences for automated and connected vehicle algorithm development using real vehicles. 2024 ASEE north central section conference.
  9. Michael Evans, Marcial Machado, Rickey Johnson, Anna Vadella, Luis Escamilla, Beñat Froemming-Aldanondo, Tatiana Rastoskueva, Milan Jostes, Devson Butani, Ryan Kaddis, and others. Vehicle-to-everything (v2x) communication: A roadside unit for adaptive intersection control of autonomous electric vehicles. ArXiv. org.

2023

  1. Georgios Pappas, Joshua Siegel, Iliana Papamichael, and Antonis Zorpas. A metaverse framework for waste management. International conference on environmental science and technology.
  2. Shilpi Shah, Brendan Franz, Travis Forgach, Milan Jostes, Joshua Siegel, and Chan-Jin Chung. Comparing traditional computer vision algorithms and deep convolutional neural networks as self driving algorithms for use in dynamic conditions. 2023 IEEE MIT undergraduate research technology conference.
  3. Iliana Papamichael, Georgios Pappas, Joshua E Siegel, Vassilis J Inglezakis, Giorgos Demetriou, Antonis A Zorpas, and Constantinos Hadjisavvas. Metaverse and circular economy. Waste Management & Research, vol. 41, pp. 1393-1398.
  4. Joshua Siegel, Adam Terwilliger, and Umberto Coda. System and method for vibroacoustic diagnostic and condition monitoring a system using neural networks.
  5. Piyush Gupta, Demetris Coleman, and Joshua E Siegel. Towards physically adversarial intelligent networks (PAINs) for safer self-driving. IEEE Control Systems Letters, vol. 7, pp. 1063-1068.
  6. Georgios Pappas, Satyanarayanan Seshadri, Sriram Krishnan, Joshua Siegel, and Antonis Zorpas. Triggering behavioral change via gamification for promoting energy efficiency. International conference on renewable energy sources and energy efficiency.
  7. Michael Khalfin, Jack Volgren, Luke LeGoullon, Shilpi Shah, Travis Forgach, Matthew Jones, Milan Jostes, Ryan Kaddis, Chan-Jin Chung, and Joshua Siegel. Vehicle-to-everything communication using a roadside unit for over-the-horizon object awareness. IEOM international conference on smart mobility and vehicle electrification.

2022

  1. G Pappas, Antonis Petrides, Vayos Liapis, and J Siegel. 2022 international conference on interactive media, smart systems and emerging technologies, IMET 2022-proceedings. Institute of Electrical; Electronics Engineers Inc..
  2. G Pappas, A Petrides, V Liapis, and J Siegel. Ancient theater of philippi: A 3D photogrammetry-based game for distance humanities learning. INTED2022 proceedings, pp. 3590-3597.
  3. Sanjay E Sarma, Rahul Bhattacharyya, Joshua E Siegel, Alex Armengol Urpi, Pankhuri Sen, and Sai Nithin Reddy Kantareddy. Antenna and system for wireless sensing of health monitoring.
  4. Ryan Kaddis, Enver Stading, Aarna Bhuptani, Heather Song, Chan-Jin Chung, and Joshua Siegel. Developing, analyzing, and evaluating self-drive algorithms using electric vehicles on a test course. REU research in networking and systems.
  5. Shika Rao, Alexander Quezada, Seth Rodriquez, Cebastian Chinolla, Chan-Jin Chung, and Joshua Siegel. Developing, analyzing, and evaluating vehicular lane keeping algorithms using electric vehicles. Vehicles, vol. 4, no. 4, pp. 1012-1041.
  6. Karthik Karur, Georgios Pappas, Joshua Siegel, and Mi Zhang. End-to-end synthetic lidar point cloud data generation and deep learning validation. WCX SAE world congress experience 288441.
  7. Georgios Pappas, Joshua E Siegel, Eva Kassens-Noor, Jacob Rutkowski, Konstantinos Politopoulos, and Antonis A. Zorpas. Game-based simulation and study of pedestrian-automated vehicle interactions. Automation.
  8. Georgios Pappas, Joshua Siegel, Ioannis Vogiatzakis, and Konstantinos Politopoulos. Gamification and the internet of things in education. Handbook of intelligent techniques in educational process, vol. 29.
  9. Adam M Terwilliger and Joshua E Siegel. Improving misfire fault diagnosis with cascading architectures via acoustic vehicle characterization. Sensors, vol. 22, no. 20, pp. 7736.
  10. Georgios Pappas, Antonis Petrides, Vaios Liapis, and Joshua E Siegel. Integrating game-based learning in distance learning platforms: The case of “ancient theater of philippi” tool. International conference on interactive media, smart systems and emerging technologies.
  11. Joshua E Siegel. REU site: Collaborative research: Developing, analyzing, and evaluating self-drive algorithms using real street legal electric vehicles on campus. NSF Award Number 2150096. Directorate for Computer and Information Science and Engineering, vol. 21, no. 2150096, pp. 50096.
  12. Adam M Terwilliger and Joshua E Siegel. The ai mechanic: Acoustic vehicle characterization neural networks. arXiv preprint arXiv:2205.09667.
  13. Gregory Falco, Nathaniel G Gordon, Adam Byerly, Andrew Grotto, Cyber Policy Center, Josh Siegel, and Sebastian Zanlongo. The space digital dome: Autonomous defense of space vehicles from radio frequency interference. IEEE aerospace conference.
  14. Iliana Papamichael, Georgios Pappas, Joshua E Siegel, and Antonis A Zorpas. Unified waste metrics: A gamified tool in next-generation strategic planning. Science of The Total Environment, vol. 833, pp. 154835.

2021

  1. Georgios Pappas, Joshua E Siegel, Konstantinos Politopoulos, and Yongbin Sun. A gamified simulator and physical platform for self-driving algorithm training and validation. Electronics, vol. 10, no. 9, pp. 1112.
  2. Karthik Karur, Nitin Sharma, Chinmay Dharmatti, and Joshua E Siegel. A survey of path planning algorithms for mobile robots. Vehicles, vol. 3, no. 3, pp. 448-468.
  3. Sanjay Sarma, Sai Nithin Reddy Kantareddy, Rahul Bhattacharyya, Pankhuri Sen, Alex Armengol-Urpi, and Joshua Siegel. Antenna and system for wireless sensing of health monitoring.
  4. Eva Kassens-Noor, Josh Siegel, and Travis Decaminada. Choosing ethics over morals: A possible determinant to embracing artificial intelligence in future urban mobility. Frontiers in Sustainable Cities, vol. 3, pp. 108.
  5. Eva Kassens-Noor, Zachary Neal, Josh Siegel, and Travis Decaminada. Choosing morals over ethics: A possible determinant to embracing autonomous vehicles?. TRB annual meeting.
  6. Joshua Siegel and Gregory Falco. Cyberphysical sequencing for distributed asset management with broad traceability. arXiv preprint arXiv:2112.02079.
  7. Joshua Siegel and Kai Yang. Going deep: Deep quality, a revolution in needs-meeting and designing to real value. Quality Progress, vol. 54, no. 11, pp. 14-19.
  8. Kai Yang, Sriram Krishnan, and Joshua Siegel. Individualized customer value: Where hyper-targeting and hyper-tailoring meet. Available at SSRN 3661753.
  9. Georgios Pappas, Iliana Papamichael, Antonis Zorpas, Joshua E Siegel, Jacob Rutkowski, and Konstantinos Politopoulos. Modelling key performance indicators in a gamified waste management tool. Modelling, vol. 3, no. 1, pp. 27-53.
  10. Joshua Siegel and Georgios Pappas. Morals, ethics, and the technology capabilities and limitations of automated and self-driving vehicles. AI & Society.
  11. Joshua Siegel. Oxidized and non-oxidized tire sidewall and tread images. Harvard Dataverse.
  12. Joshua Siegel, Umberto Coda, and Adam Terwilliger. Surveying off-board and extra-vehicular monitoring and progress towards pervasive diagnostics. SAE International Journal of Connected and Automated Vehicles.
  13. Sanjay E Sarma, Rahul Bhattacharyya, Joshua E Siegel, Sai Nithin Reddy Kantareddy, Alex Armengol Urpi, and Pankhuri Sen. System and method for wireless sensing of health monitoring.
  14. Juuso Autiosalo, Kari Tammi, and Joshua Siegel. Twinbase: Open-source server software for the digital twin web. IEEE Access, vol. 9, pp. 140779-140798.
  15. Joshua Siegel and Vincent J Palusci. Using technology in child welfare and child abuse prevention. Preventing child abuse: Critical roles and multiple perspectives.
  16. Joshua Siegel, Vicky Karaiskou, and Georgios Pappas. Virtual art viewing for education and learning (VAVEL): A tool for automatic virtual art space creation for students and artists. RISE IMET.

2020

  1. Gregory Falco and Joshua E Siegel. A distributed “black box” audit trail design specification for connected and automated vehicle data and software assurance. SAE Journal of Transportation Cybersecurity and Privacy.
  2. Joshua Eric Siegel and Rahul Bhattacharyya. Applying motion sensor data to wheel imbalance detection, tire pressure monitoring, and/or tread depth measurement.
  3. Daniel Kent, Betty H. C. Cheng, and Joshua Siegel. Assuring vehicle update integrity using asymmetric public key infrastructure (PKI) and public key cryptography (PKC). SAE International Journal of Transportation Cybersecurity and Privacy.
  4. Joshua E Siegel, Maria F Beemer, and Steven M Shepard. Automated non-destructive inspection of fused filament fabrication components using thermographic signal reconstruction. Additive Manufacturing, vol. 31, pp. 100923.
  5. Jevin Barnett, Nicholas Gizinski, Eduardo Mondragón-Parra, Joshua Siegel, Daniel Morris, Timothy Gates, Eva Kassens-Noor, and Peter Savolainen. Automated vehicles sharing the road: Surveying detection and localization of pedalcyclists. IEEE Transactions on Intelligent Vehicles, vol. 6, no. 4, pp. 649-664.
  6. Joshua E. Siegel and Sumeet Kumar. Cloud, context, and cognition: Paving the way for efficient and secure IoT implementations. Handbook of integration of cloud computing, cyber physical systems and internet of things.
  7. Joshua Siegel and Sriram Krishnan. Cultivating invisible impact with deep technology and creative destruction. Journal of Innovation Management, vol. 8, no. 3.
  8. Georgios Pappas, Adamantini Peratikou, Joshua Siegel, Konstantinos Politopoulos, Christopher Christodoulides, and Stavros Stavrou. Cyber escape room: An educational 3d escape room game within a cyber range training realm. INTED, pp. 2621-2627.
  9. Tuukka Mustapää, Juuso Autiosalo, Pekka Nikander, Joshua E. Siegel, and Raine Viitala. Digital metrology for the internet of things. 2020 global internet of things summit (GIoTS).
  10. Dajiang Suo, Joshua E. Siegel, and Alexander Soley. Driving data dissemination: The “terms” governing connected car information. Intelligent Transportation Systems Magazine.
  11. Pankhuri Sen, Sai Nithin R Kantareddy, Rahul Bhattacharyya, Sanjay E Sarma, and Joshua E Siegel. Low-cost diaper wetness detection using hydrogel-based RFID tags. IEEE Sensors Journal, vol. 20, no. 6, pp. 3293-3302.
  12. Yongbin Sun, Yue Wang, Ziwei Liu, Joshua Siegel, and Sanjay Sarma. Pointgrow: Autoregressively learned point cloud generation with self-attention. Proceedings of the IEEE/CVF winter conference on applications of computer vision, pp. 61-70.
  13. Josh Siegel and Daniel Morris. Robotics, automation, and the future of sports. 21st century sports, pp. 53-72.
  14. Joshua Siegel, Aniruddha Das, Yongbin Sun, and Shane Pratt. Safe energy savings through context-aware hot water demand prediction. Engineering Applications of Artificial Intelligence, vol. 90, pp. 103481.
  15. Joshua E Siegel and Sanjay E Sarma. Systems and methods for managing data proxies.

2019

  1. Joshua Siegel and Sanjay Sarma. A cognitive protection system for the internet of things. Security & Privacy, vol. 17, no. 3.
  2. Chad L. Jacoby, Jacob M. Jurewicz, Joshua E. Siegel, Amos G. Winter V, Young Suk Jo, Patricia Yen, Guillermo Pamanes Castillo, and Daniel Scott Dorsch. Clutchless shifting of a manual transmission.
  3. Yongbin Sun, Alexandre Armengol Urpi, Sai Nithin R Kantareddy, Joshua E Siegel, and Sanjay E Sarma. MagicHand: A deep learning approach towards manipulating IoT devices in augmented reality environment. Institute of Electrical; Electronics Engineers (IEEE).
  4. Yongbin Sun, Alex Armengol-Urpi, Sai Nithin Reddy Kantareddy, Joshua Siegel, and Sanjay Sarma. MagicHand: Interact with IoT devices in augmented reality environment. IEEE VR workshop on novel input devices and interaction techniques, pp. 1738-1743.
  5. Joshua Siegel, Sriram Krishnan, Brian Subirana, Sanjay Sarma, Jeff Merritt, Lauren Joseph, and Rodrigo Arias. Realizing the internet of things: A framework for collective action. World economic forum.
  6. Joshua Siegel. Single family hot water flow data. Harvard Dataverse.
  7. Yongbin Sun, Sai Nithin Reddy Kantareddy, Joshua Siegel, Alexandre Armengol-Urpi, Xiaoyu Wu, Hongyu Wang, and Sanjay Sarma. Towards industrial iot-ar systems using deep learning-based object pose estimation. 2019 IEEE 38th international performance computing and communications conference (IPCCC), pp. 1-8.
  8. Joshua Eric Siegel and Sanjay Sarma. Using open channels to trigger the invited, unintended consequences of the internet of things. IEEE Security & Privacy, vol. 17, no. 3, pp. 49-55.

2018

  1. Joshua E Siegel, Dylan C. Erb, and Sanjay E. Sarma. Algorithms and architectures: A case study in when, where and how to connect vehicles. IEEE Transactions on Intelligent Transportation Systems Magazine, vol. 10, no. 1, pp. 74-87.
  2. Joshua Siegel, Yongbin Sun, and Sanjay Sarma. Automotive diagnostics as a service: An artificially intelligent mobile application for tire condition assessment. Lecture notes in computer science: Artificial intelligence and mobile services (AIMS) 2018.
  3. Josh Siegel. Cognitive protection systems for the internet of things. Homeland Defense and Security Information Analysis Center Journal, vol. 5, no. 4, pp. 16-20.
  4. Joshua Siegel. Electronic circuit current data. Harvard Dataverse.
  5. Dajiang Suo, Joshua E Siegel, and Sanjay E Sarma. Merging safety and cybersecurity analysis in product design. IET Intelligent Transport Systems, vol. 12, no. 9, pp. 1103-1109.
  6. Josh Siegel. Neural network-enabled arc-fault detection for critical infrastructure supervision.
  7. Joshua Siegel, Shane Pratt, Yongbin Sun, and Sanjay Sarma. Real-time deep neural networks for internet-enabled arc-fault detection. Engineering Applications of Artificial Intelligence, vol. 74, pp. 35-42.
  8. Joshua Eric Siegel, Sumeet Kumar, and others. System, device, and method for feature generation, selection, and classification for audio detection of anomalous engine operation.
  9. Dylan Erb, Isaac Ehrenberg, Pranay Jain, and Joshua Siegel. Systems, devices and methods for three-dimensional printing.
  10. Isaac Ehrenberg, Joshua Siegel, and Dylan Erb. The tallest column: On monetary value of stature in jewish law. Hakirah, Inc..
  11. Alexander Soley, Joshua Siegel, Dajiang Suo, and Sanjay Sarma. Value in vehicles: Economic assessment of automotive data. Digital Policy, Regulation and Governance.
  12. Georgios Pappas, Joshua E Siegel, Konstantinos Politopoulos, T Huang, M Otsuki, M Servières, A Dey, and Y Sugiura. VirtualCar: Virtual mirroring of IoT-enabled avacars in AR, VR and desktop applications.. ICAT-EGVE (posters and demos), pp. 15-17.

2017

  1. Joshua E Siegel, Dylan Erb, and Sanjay E. Sarma. A survey of the connected vehicle landscape – architecture, enabling technologies, applications, and development areas. IEEE Transactions on Intelligent Transportation Systems.
  2. Joshua E. Siegel, Rahul Bhattacharyya, Sumeet Kumar, and Sanjay E. Sarma. Air filter particulate loading detection using smartphone audio and optimized ensemble classification. Engineering Applications of Artificial Intelligence, vol. 66, pp. 104-112.
  3. Joshua Siegel. Automotive engine air filter audio samples – free flowing, contaminated and obstructed samples. Harvard Dataverse.
  4. Balasaravanan T Kumaravel, R Bhattacharyya, J Siegel, SE Sarma, and N Arunachalam. Development of an internet of things enabled manufacturing system for tool wear characterization. 2017 IEEE 3rd international symposium in robotics and manufacturing automation (ROMA), pp. 1-6.
  5. Joshua E Siegel, Sumeet Kumar, and Sanjay E. Sarma. The future internet of things: Secure, efficient, and model-based. IEEE Internet of Things Journal.

2016

  1. Joshua Eric Siegel. Data proxies, the cognitive layer, and application locality: Enablers of cloud-connected vehicles and next-generation internet of things. Massachusetts Institute of Technology.
  2. Joshua Siegel, Sumeet Kumar, Isaac Ehrenberg, and Sanjay Sarma. Engine misfire detection with pervasive mobile audio. Joint european conference on machine learning and knowledge discovery in databases, pp. 226-241.
  3. Joshua E Siegel, Dylan C Erb, Isaac M Ehrenberg, Pranay Jain, and Sanjay E Sarma. Local viscosity control printing for high-throughput additive manufacturing of polymers. 3D Printing and Additive Manufacturing, vol. 3, no. 4, pp. 252-261.
  4. Joshua Siegel, Rahul Bhattacharyya, Ajay Deshpande, and Sanjay Sarma. Smartphone-based vehicular tire pressure and condition monitoring. SAI intelligent systems conference, pp. 446-455.

2015

  1. Erik Wilhelm, Joshua Siegel, Simon Mayer, Lenya Sadamori, Sohan Dsouza, Chi-Kin Chau, and Sanjay Sarma. Cloudthink: A scalable secure platform for mirroring transportation systems in the cloud. Transport, vol. 30, no. 3.
  2. Simon Mayer and Joshua Siegel. Conversations with connected vehicles. Internet of things.
  3. Chad L Jacoby, Young Suk Jo, Jake Jurewicz, Guillermo Pamanes, Joshua E Siegel, Patricia XT Yen, Daniel S Dorsch, and Amos G Winter. Design of a clutchless hybrid transmission for a high-performance vehicle. ASME 2015 international design engineering technical conferences and computers and information in engineering conference, pp. V010T11A056-V010T11A056.
  4. Joshua Siegel, Rahul Bhattacharyya, Ajay Deshpande, and Sanjay Sarma. Smartphone-based wheel imbalance detection. Dynamic systems and control conference.
  5. Joshua Eric Siegel. System and method for providing predictive software upgrades.

2014

  1. J Siegel, Rahul Bhattacharyya, Ajay Deshpande, and S Sarma. Vehicular engine oil service life characterization using on-board diagnostic (OBD) sensor data. SENSORS, 2014 IEEE, pp. 1722-1725.

2013

  1. Joshua Eric Siegel. CloudThink and the avacar: Embedded design to create virtual vehicles for cloud-based informatics, telematics, and infotainment. Massachusetts Institute of Technology.
  2. Sanjay E Sarma, Stephen Sai-Wung Ho, and Joshua E Siegel. System and method for providing road condition and congestion monitoring using smart messages.

2011

  1. Joshua Eric Siegel. Design, development, and validation of a remotely reconfigurable vehicle telemetry system for consumer and government applications. Massachusetts Institute of Technology.

Undated

  1. Joshua Siegel and Sanjay Sarma. A cognitive protection system for IoT.
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Selected patents

Five of 9+ issued and pending patents. The full record appears in the publication list above.

Most machine-learning systems collect as much data as they can. A 2026 patent application by Joshua Siegel and Tashfain Ahmed describes a way to measure how much data a task actually needs, then run the device at that smaller data budget. The result is less sensing, storage, transmission, and computation without sacrificing the required output.

Open data

Released datasets include machine acoustics, tire imagery, circuit current, hot-water flow, and pedestrian interaction with automated vehicles.

Need a paper or dataset?

If a link is missing or a paper is behind a paywall, ask. I am happy to share a copy when I can.

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