Rudovic, O., Park, H-W., Busche, J., Schuller, B. , Breazeal, C., Picard, R. W., " Personalized Estimation of Engagement from Videos Using Active Learning with Deep Reinforcement Learning," IEEE CVPR -AMFG W, June 2019.

Slavich G.M., Taylor S., Picard R.W. "Stress measurement using speech: Recent advancements, validation issues, and ethical and privacy considerations," Stress, 2019.

Johnson, Arielle J., Elliot Meyerson, John de la Parra, Timothy L. Savas, Risto Miikkulainen, and Caleb B. Harper. “Flavor-Cyber-Agriculture: Optimization of Plant Metabolites in an Open-Source Control Environment through Surrogate Modeling.” PLOS ONE 14, no. 4 (April 3, 2019): e0213918. https://doi.org/10.1371/journal.pone.0213918.

Cherston, Juliana, and Joseph A. Paradiso. "SpaceSkin: development of aerospace-grade electronic textile for simultaneous protection and high velocity impact characterization." Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2019. Vol. 10970. International Society for Optics and Photonics, 2019.

Cherston, Juliana, Paul Strohmeier, and Joseph A. Paradiso. "Grappler: Array of Bistable Elements For Pinching Net-Like Infrastructure to Low Gravity Bodies." AIAA Scitech 2019 Forum. 2019.

Noble, Charleston, John Min, Jason Olejarz, Joanna Buchthal, Alejandro Chavez, Andrea L. Smidler, Erika A. DeBenedictis, George M. Church, Martin A. Nowak, and Kevin M. Esvelt. “Daisy-Chain Gene Drives for the Alteration of Local Populations.” Proceedings of the National Academy of Sciences, April 2, 2019, 201716358. https://doi.org/10.1073/pnas.1716358116.

Frank, Morgan R., David Autor, James E. Bessen, Erik Brynjolfsson, Manuel Cebrian, David J. Deming, Maryann Feldman, et al. “Toward Understanding the Impact of Artificial Intelligence on Labor.” Proceedings of the National Academy of Sciences, March 25, 2019, 201900949. https://doi.org/10.1073/pnas.1900949116.

For a full list of Shuguang Zhang's publications, please visit his website: https://www.moleculararchitecture.org/

Finlayson, S. G., Bowers, J. D., Ito, J., Zittrain, J. L., Beam, A. L., & Kohane, I. S. (2019). Adversarial attacks on medical machine learning. Science, 363(6433), 1287. https://doi.org/10.1126/science.aaw4399

Lengeling, Thomas Sanchez, and Adrian Jinich. “Empowering Young Innovators.” Science 363, no. 6433 (March 22, 2019): 1294–1294. https://doi.org/10.1126/science.aaw0564.

Ghoneim, M.T., Nguyen, A., Dereje, N., Huang, J., Moore, G.C., Murzynowski, P.J., Dagdeviren, C.†, ACS Chemical Reviews, 2019

Holbrow, C. (2019). Turning the DAW Inside Out. Audio Engineering Society Conference: 146th Convention.

Ken Nakagaki, Daniel Fitzgerald, Zhiyao (John) Ma, Luke Vink, Daniel Levine, Hiroshi Ishii. 2019. inFORCE: Bi-directional `Force’ Shape Display For Haptic Interaction. Proceedings of the Thirteenth International Conference on Tangible, Embedded, and Embodied Interaction (TEI ‘19). ACM, New York, NY, USA, 615-623. DOI: https://doi.org/10.1145/3294109.3295621

Zhang Y, Michi A, Wagner J, Andre E, Schuller B, Weninger F. "A Generic Human-Machine Annotation Framework Based on Dynamic Cooperative Learning." IEEE Transactions on Cybernetics, March 2019.

Ekblaw, Ariel, and Joseph Paradiso. “ Self-Assembling Space Habitats:TESSERAE Technology and Mission Architecture for Zero-g Construction ” To appear in the Proceedings of the IEEE Aerospace Conference (2019).

Jara-Figueroa C, Yu AZ, Hidalgo CA (2019) How the medium shapes the message: Printing and the rise of the arts and sciences. PLoS ONE 14(2): e0205771. https://doi.org/10.1371/journal.pone.0205771

Zhihong Luo, Qiping Zhang, Yunfei Ma, Manish Singh, and Fadel Adib. 16th USENIX Symposium on Networked Systems Design and Implementation (NSDI 19).

Frank, Morgan R., Dashun Wang, Manuel Cebrian, and Iyad Rahwan. “The Evolution of Citation Graphs in Artificial Intelligence Research.” Nature Machine Intelligence 1, no. 2 (February 2019): 79. https://doi.org/10.1038/s42256-019-0024-5.

Bianca Datta, Sundeep Jolly, and V. Michael Bove, Jr., “Towards inverse design of biomimetic nanostructures exhibiting composite structural coloration,” Proc. SPIE Advanced Fabrication Technologies for Micro/Nano Optics and Photonics XI, 10930, 2019.

Hae Won Park, Ishaan Grover, Samuel Spaulding, Louis Gomez, and Cynthia Breazeal. “A Model- free Affective Reinforcement Learning Approach to Personalization of a Social Robot Companion for Early Literacy Education” In Association for the Advancement of Artificial Intelligence (AAAI), 2019.

Randi Williams, Hae Won Park, Lauren Oh, and Cynthia Breazeal. 2019. PopBots: Designing an Artificial Intelligence Curriculum for Early Childhood Education. In Proceedings of the 9th Symposium on Education Advances in Artificial Intelligence (EAAI '19). AAAI, Menlo Park, CA, USA.

Raji, I & Buolamwini, J. (2019). Actionable Auditing: Investigating the Impact of Publicly Naming Biased Performance Results of Commercial AI Products. Conference on Artificial Intelligence, Ethics, and Society.

Chang Hee Lee, Dan Lockton, David Verweij, David Kirk, Kay Rogage, Abigail Durrant, Aubree Ball, Audrey Desjardins, Adam Haar Horowitz, Ishaan Grover, Pedro Reynolds-Cu&#233;llar, Oscar Rosello, Tom&#225;s Vega, Abhinandan Jain, Cynthia Breazeal, and Pattie Maes. 2018. Demo hour. <em>Interactions</em> 25, 6 (October 2018), 10-13. DOI: https://doi.org/10.1145/3279993

Ekblaw, A. and Paradiso, J.A., "Self-assembling Space Architecture: tessellated shell structures for space habitats," In AIAA Scitech 2019 Forum, Smart/Adaptable Deployable Structures (p. 0481).

Taylor S., Ferguson C., Peng F., Schoeneich M., Picard R.W. "Use of In-Game Rewards to Motivate Daily Self-Report Compliance: Randomized Controlled Trial," Journal of Medical Internet Research, 21(1), e11683, 2019.

Markus Kayser, Levi Cai, Sara Falcone, Christoph Bader, Nassia Inglessis, Barrak Darweesh, and Neri Oxman, Constr Robot (2018) 2: 67. https://doi.org/10.1007/s41693-018-0013-y

Perikumar Javia, Rana A, Shapiro NI, Shah P. IEEE Xplore, Proceedings of 2018 17th International Conference on Machine Learning and Applications (Conference acceptance rate: 14%)

Aman Rana, Yauney G, Lowe A, Shah P. IEEE Xplore, Proceedings of 2018 17th International Conference on Machine Learning and Applications (Conference acceptance rate: 14%)

Oran, D., Rodriques, S. G., Gao, R., Asano, S., Skylar-Scott, M. A., Chen, F., Tillberg, P., Marblestone, A., Boyden, E. S. (2018). 3D nanofabrication by volumetric deposition and controlled shrinkage of patterned scaffolds. Science, 362(6420), 1281–1285.

Shriya S. Srinivasan, Benjamin E. Maimon, Maurizio Diaz, Hyungeun Song and Hugh M. Herr, Nature Communications, volume 9, article number: 5303 (2018)

Hao, H., Padman, R., Sun, B. et al. Electron Commer Res (2018). https://doi.org/10.1007/s10660-018-09324-5

C. Jara-Figueroa, Bogang Jun, Edward L. Glaeser, and Cesar A. Hidalgo, Proceedings of the National Academy of Sciences, 2018, https://doi.org/10.1073/pnas.1800475115

Candia, Cristian and Jara-Figueroa, C. and Rodriguez-Sickert, Carlos and Barabási, Albert-László and Hidalgo, César A., Nature Human Behaviour, 2018, DOI:10.1038/s41562-018-0474-5

Split learning for health: Distributed deep learning without sharing raw patient data

Tao ZHANG, Wei ZHANG, Wei XU, Haijing, HAO. Knowledge-Based Systems, Volume 161, 1 December 2018, Pages 65-77.

Learning Food Quality and Safety from Wireless Stickers. Unsoo Ha, Yunfei Ma, Zexuan Zhong, Tzu-Ming Hsu, Fadel Adib. ACM HotNets 2018

Hernandez J., McDuff D., Quigley K., Maes P., and Picard R., "Wearable Motion-based Heart-rate at Rest: A Workplace Evaluation," Journal of Biomedical and Health Informatics, 2018.

Tasnim, F., Sadraei, A., Datta, B., Khan, M., Choi, K. Y., Sahasrabudhe, A., Vega Gálvez, T. A., Wicaksono, I., Rosello, O., Nunez-Lopez, C., Dagdeviren, C.†, Foresight, 20, 6, 589-601, 2018.

Ito, J. (2018, November). Lecture: The Limits of Ethical A.I. Science and Democracy Lecture, Harvard Program on Science, Technology & Society. Cambridge, MA.

E. Awad, S. Dsouza, R. Kim, J. Schulz, J. Henrich, A. Shariff, J.-F. Bonnefon, I. Rahwan (2018). The Moral Machine experiment. Nature, 563, pages 59–64. DOI: 10.1038/s41586-018-0637-6

Castelló Ferrer E. et al. (2019) Personal Food Computer: A New Device for Controlled-Environment Agriculture. In: Arai K., Bhatia R., Kapoor S. (eds) Proceedings of the Future Technologies Conference (FTC) 2018. FTC 2018. Advances in Intelligent Systems and Computing, vol 881. Springer, Cham

Alfeo, A. L., Ferrer, E. C., Carrillo, Y. L., Grignard, A., Pastor, L. A., Sleeper, D. T., Cimino, M. G. C. A., Lepri, B., Vaglini, G., Laron, K., Dorigo, M., Pentland, A. `Sandy’. (2018). Urban Swarms: A new approach for autonomous waste management. ArXiv:1810.07910 [Cs].

T. Nishikata, T. Hardjono and A. Pentland, Social Capital Accounting, October 2018.

Kyung Yun Choi, Darle Shinsato, Shane Zhang, Ken Nakagaki, and Hiroshi Ishii. 2018. reMi: Translating Ambient Sounds of Moment into Tangible and Shareable Memories through Animated Paper. In The 31st Annual ACM Symposium on User Interface Software and Technology Adjunct Proceedings (UIST '18 Adjunct). ACM, New York, NY, USA, 84-86. DOI: https://doi.org/10.1145/3266037.3266109

Bernal, Guillermo, et al. "PhysioHMD: a conformable, modular toolkit for collecting physiological data from head-mounted displays." Proceedings of the 2018 ACM International Symposium on Wearable Computers. ACM, 2018.

Nataliya Kosmyna, Utkarsh Sarawgi, and Pattie Maes. 2018. AttentivU: Evaluating the Feasibility of Biofeedback Glasses to Monitor and Improve Attention. In Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers (UbiComp '18). ACM, New York, NY, USA, 999-1005. DOI: https://doi.org/10.1145/3267305.32741

Obradovich, N., Migliorini, R., Paulus, M. P., & Rahwan, I. (2018). Empirical evidence of mental health risks posed by climate change. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1801528115

A. Dementyev, J. Qi, J. Ou, J. Paradiso, “Mass Manufacturing of Self-Actuating Robots: Integrating Sensors and Actuators using Flexible Electronics” in Proc. of IROS’18

Noriega-Campero, A., Bakker, M., Garcia-Bulle, B., & Pentland, A. (2018). Active Fairness in Algorithmic Decision Making. arXiv preprint arXiv:1810.00031.

Subramanian, S., Barbieri, R., Johnson, K.T., Brown, E. "Characterizing Electrodermal Activity Using Point Processes in Young Children," 50th Annual Meeting of the Biomedical Engineering Society (BMES), Atlanta, Georgia, October 2018.

Rudovic, O., Utsumi, Y., Lee, J., Hernandez, J., Castello Ferrer, E., Schuller, B., Picard, R. "CultureNet: A Deep Learning Approach for Engagement Intensity Estimation from Face Images of Children with Autism." IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2018).

Jaques, N., Lazaridou, A., Hughes, E., Gulcehre, C., Ortega, P. A., Strouse, D. J., Leibo, J. Z., and de Freitas, N. "Intrinsic Social Motivation via Causal Influence in Multi-Agent RL," International Conference on Representation Learning (ICLR), New Orleans, Louisiana, May 2019 (submitted).

Dementyev A., Hernandez J., Choi I., Follmer S., Paradiso J., "Epidermal Robots: Wearable Sensors That Climb On The Skin" In Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 2 (3), September 2018.

Jifei Ou, Zhao Ma, Jannik Peters, Sen Dai, Nikolaos Vlavianos, Hiroshi Ishii, kinetiX: Designing auxetic-inspired deformable material structures, Computers & Graphics, Volume 75, 2018, Pages 72-81, ISSN 0097-8493

Miriam Simun, "TRAINING TRANSHUMANISM: I WANT TO BECOME A CEPHALOPOD"

Thesis: Shruti Dhariwal. SCRATCH ♥ MEMORIES: Visualizations that empower children to celebrate and reflect on their creative trajectories. Massachusetts Institute of Technology. September 2018.

Ghoneim, M. T., Sadraei, A., Souza, P., Moore, G. C., Bazant, M. Z., Dagdeviren, C.†, Small Methods, 1800265, 2018.