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B

Yu-Han Lyu, Devin Balkcom:
Optimal trajectories for planar rigid bodies with switching costs.
International Journal of Robotics Research (2015)

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Weifu Wang, Devin Balkcom, Amit Chakrabarti:
A fast online spanner for roadmap construction.
International Journal of Robotics Research (2015)

Matthew P. Bell, Weifu Wang, Jordan Kunzika, Devin Balkcom:
Knot-tying with four-piece fixtures.
International Journal of Robotics Research 33(11): 1481—1489 (2014)

C

Andrew Thomas Campbell

See Google scholar page for my publications.

Michael A. Casey

Feng, Y. and Casey, M., Phrase-Level Symbolic Music Generation, AI and Music Creativity (AIMC 2024), University of Oxford, Sep. 2024.

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Keating, M. and Casey, M., Jazz Guitar Voice-Leading Chord Fingerings With Long Short-Term Memory, AI and Music Creativity (AIMC 2024), University of Oxford, Sep. 2024.

Bates, K., Kanishcheva, A., Casey, M., and Jobst, B. "Music and Epilepsy: Studying the Effects of Mozart's Sonata K. 448 on the Epileptic Brain", Ch. 20 in Neurobiology of Creativity, Cambridge University Press, 2024

Paulsen, S. and Casey, M., Self-Supervised Pretraining for Improved Downstream Decoding of Audio-Evoked fMRI Sequences, 4th Workshop on Self-Supervised Learning: Theory and Practice, Neural Information Processing Systems 2023, New Orleans, December 2023

Paulsen, S. and Casey, M., Improved Decoding of Audio-Evoked fMRI Sequences with Sequential Transfer Learning, Workshop: Neurips meets Medical Imaging, Neural Information Processing Systems 2023, New Orleans, December 2023

Quon, R.J., Strýček, O., Ettinger, A.B., Casey, M.A., Rektor, I., Jobst, B.C. (2023). "Music for Epilepsy". In: Devlin, K., Kang, K., Pantelyat, A. (eds) Music Therapy and Music-Based Interventions in Neurology. Current Clinical Neurology. Humana, Cham, 2023

May, L., Halpern, A., Paulsen, S., and Casey, M. Imagined Scale Relationships Decoded from Auditory Cortex. Journal of Cognitive Neuroscience, 34(8), July 1, 2022.

Feng, Y. and Casey, M. Evoked Responses to Note Onsets and Phrase Boundaries in Mozart's K448, Scientific Reports, 10 June, 2022.

Casey, M., Quon, R., and Jobst, B., Eliciting neural mechanisms of music medicine for epilepsy, Interdisciplinary Science Reviews, 47:1, March 24, 2022

Quon, R., Casey, M., Jobst, B., et al. Musical Components Important for the Mozart K448 Effect in Epilepsy, Scientific Reports, September 16, 2021.

Chew, E., ..., Casey, M., Lambiase, P., et al. How Music Can Literally Heal the Heart, Scientific American, September 18, 2021.

May, L. and Casey, M, Decoding Imagined Sound, in Paulo C. Chagas and Cecilia Wu (Eds.), Sounds From Within: Phenomenology and Practice, Springer Humanities, 2021.

Quon RJ, ..., Casey MA, Jobst BC. 40-Hz auditory stimulation for intracranial interictal activity: A pilot study. Clinical Trial, Acta Neurologica Scan. 2021

Amit Chakrabarti

A. Chakrabarti, G. Cormode, A. McGregor, J. Thaler, and S. Venkatasubramanian. “Verifiable Stream Computation and Arthur–Merlin Communication,” (with G. Cormode, A. McGregor, J. Thaler, S. Venkatasubramanian), in Proc. 30th Ann. Conf. Comput. Complexity (CCC 2015).

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A. Chakrabarti, L. K. Fleischer, C. Weibel. “When the Cut Condition is Enough: A Complete Characterization for Multiflow Problems in Series-Parallel Networks,” in Proc. 44th Ann. ACM Symp. Theory Comput. (STOC 2012) 19-26.

A. Chakrabarti and O. Regev. “An Optimal Lower Bound on the Communication Complexity of Gap-Hamming-Distance”, SIAM J. Comput., 41:5 (2012) 1299-1317.

A. Chakrabarti, G. Cormode and A. McGregor. “ A Near-Optimal Algorithm for Estimating the Entropy of a Stream,” ACM Trans. Alg., 6:3 (2010) Art. 51.

A. Chakrabarti and O. Regev. “An Optimal Randomized Cell Probe Lower Bound for Approximate Nearest Neighbor Searching,” SIAM J. Comput., 39:5 (2010) 1919–1940.

A. Chakrabarti, S. Khot, and Y. Shi. “Evasiveness of Subgraph Containment and Related Properties,” SIAM J. Comput., 31:3 (2002) 866-875.

Herbert Chang

Herbert Chang, Brooke Harrington, Feng Fu, and Dan Rockmore (2023). Complex Systems of Secrecy: The Offshore Network of Oligarchs. PNAS Nexus.

Herbert Chang, Allissa Richardson, and Emilio Ferrara (2022). #JusticeForGeorgeFloyd: How Instagram Facilitated the 2020 Black Lives Matter Movement. PLOS One.

Matt Bui, Herbert Chang, Charlton McIlwain (2022). Targeted Ads: The Infrastructure for Algorithmic Discrimination. Center for Critical Race + Digital Studies.

Herbert Chang, Samar Hai, and Emilio Ferrara (2021). Digital Civic Participation and Misinformation during the 2020 Taiwanese Presidential Election. Communication and Media.

Herbert Chang and Feng Fu (2021). Elitism in Mathematics and Inequality. Nature Humanities and Social Science Communications.

Emily Chen, Herbert Chang, Ashwin Rao, George Cowan, Kristina Lerman, and Emilio Ferrara (2021). COVID-19 Misinformation and the 2020 USA Presidential Elections. Harvard Misinformation Review.

Hsien-Chih Chang

Tightening Curves on Surfaces Monotonically with Applications,
with Arnaud de Mesmay,
in Proceedings of the 31st Annual ACM-SIAM Symposium on Discrete Algorithms (SODA'20),
pages 747-766, 2020.
Invited to special issue of the ACM Transactions on Algorithms (TALG).

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Near-Optimal Distance Emulator for Planar Graphs,
with Paweł Gawrychowski, Shay Mozes, and Oren Weimann,
in Proceedings of the 26th Annual European Symposium on Algorithms (ESA'18),
pages 16:1-16:17, 2018.

Untangling Planar Curves,
with Jeff Erickson,
Discrete & Computational Geometry, volume 58, issue 4, pages 889-920, 2017.
Special issue of invited papers from the 32nd International Symposium on Computational Geometry (SoCG'16).

Detecting Weakly Simple Polygons,
with Jeff Erickson and Chao Xu,
in Proceedings of the 26th Annual ACM-SIAM Symposium on Discrete Algorithms (SODA'15),
pages 1655-1670, 2015.

Thomas H. Cormen

Cormen, T H, C E Leiserson, R L Rivest, and C Stein, Introduction to Algorithms, third edition, The MIT Press, (2009).

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Cormen, T H, Algorithms Unlocked, The MIT Press, (2013).

Cormen, T H, and J C Fan, "Dense Gray Codes, or Easy Ways to Generate Cyclic and Non-Cyclic Gray Codes For the First n Whole Numbers," 54th Annual Allerton Conference on Communication, Control, and Computing, October 2016.

Fan, J C, and T H Cormen, "Dense Gray Codes in Mixed Radices," 2017 IEEE Symposium on Information Theory (ISIT), June 2017.

Chaudhry, G, and T H Cormen, “Slabpose Columnsort: A New Oblivious Algorithm for Out-of Core Sorting on Distributed-memory Clusters,” Algorithmica, 45:3 (July 2006) 483-508.

Cormen, T H, and D M Nicol, "Performing Out-of-core FFTs on Parallel Disk Systems," Parallel Computing, 24:1 (January 1998) 5-20.

G

Gevorg Grigoryan

"Single methyl groups can act as toggle switches to specify transmembrane protein-protein interactions", L. He, H. Steinocher, A. Shelar, E. B. Cohen, E. N. Heim, B. B. Kragelund, G. Grigoryan, D. DiMaio, eLife, 6: e27701, 2017 [DOI].

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"Sequence statistics of tertiary structural motifs reflect protein stability", F. Zheng, G. Grigoryan*, PLoS ONE, 12(5): e0178272, 2017 [PubMED] [DOI].

"Protein Structural Motifs in Prediction and Design", C. O. Mackenzie, G. Grigoryan, Current Opinion in Structural Biology, 44: 161-167, 2017 [PubMED] [DOI].

"Design of self-assembling transmembrane helical bundles to elucidate principles required for membrane protein folding and ion transport", N. H. Joh, G. Grigoryan, Y. Wu, W. F. DeGrado, Philosophical Transactions B, 372(1726): 20160214, 2017 [PubMED] [DOI].

"Tertiary Alphabet for the Observable Protein Structural Universe", C. O. Mackenzie, J. Zhou, G. Grigoryan, Proceedings of the National Academy of Sciences, 113(47): E7438-E7447, 2016 [PubMED] [DOI].

"Graphene Symmetry Amplified by Designed Peptide Self-Assembly", G.-M. Mustata, Y. H. Kim*, J. Zhang, W. F. DeGrado, G. Grigoryan, M. Wanunu, Biophysical Journal, 110(11): 2507-2516, 2016 [DOI].

"Protein-Directed Self-Assembly of a Fullerene Crystal", K-H. Kim, D-K. Ko, Y-T. Kim, N. H. Kim, J. Paul, S-Q. Zhang, C. B. Murray, R. Acharya, W. F. DeGrado, Y. H. Kim, G. Grigoryan, Nature Communications, 7: 11429, 2016 [DOI].

"Tertiary Structural Propensities Reveal Fundamental Sequence/Structure Relationships", F. Zheng, J. Zhang, G. Grigoryan, Structure, 23(5): 961-971, 2015 [DOI].

"Structure-based design of combinatorial mutagenesis libraries", D. Verma, G. Grigoryan, C. Bailey-Kellogg, Protein Science, 24(5): 895-908, 2015 [DOI].

"Computational Design and Experimental Characterization of Peptides Intended for pH-Dependent Membrane Insertion and Pore Formation", Y. Zhang, R. Bartz, G. Grigoryan, M. Bryant, J. Aaronson, S. Beck, N. Innocent, L. Klein, W. Procopio, T. Tucker, V. Jadhav, D. M. Tellers, William F. DeGrado, ACS Chemical Biology, 10(4): 1082-1093, 2015 [DOI].

"Computational Design of Selective Peptides to Discriminate Between Similar PDZ Domains in an Oncogenic Pathway", F. Zheng, H. Jewell, J. Fitzpatrick, J. Zhang, D. F. Mierke, G. Grigoryan, Journal of Molecular Biology, 427: 491-510, 2015 [DOI].

"De novo design of a transmembrane Zn2+ transporting four-helix bundle", N. H. Joh, T. Wang, M. P. Bhate, R. Acharya, Y. Wu, M. Grabe, M. Hong, G. Grigoryan, W. F. DeGrado, Science, 346(6216): 1520-1524, 2014 [DOI].

"Rapid Search for Tertiary Fragments Reveals Protein Sequence-Structure Relationships", J. Zhou, G. Grigoryan, Protein Science, [DOI] in press.

"Design and Designability of Protein-based Assemblies", J. Zhang, F. Zheng, G. Grigoryan*, Current Opinion in Structural Biology, 27: 79-86, 2014 [DOI].

"Absolute Free Energies of Biomolecules from Unperturbed Ensembles", G. Grigoryan,Journal of Computational Chemistry, 34: 2726–2741, 2013 [DOI].

"Mining Tertiary Structural Motifs for Assessment of Designability", J. Zhang, G. Grigoryan, Methods in Enzymology, 523: 21-40, 2013 [DOI].

"Structural Informatics, Modeling and Design with an Open Source Molecular Software Library (MSL)", D. W. Kulp, S. Subramaniam, J. E. Donald, B. T. Hannigan, B. K. Mueller, G. Grigoryan, A. Senes, Journal of Computational Chemistry, 33(20): 1645-1661, 2012 [DOI].

"Capture and Imaging of a Prehairpin Fusion Intermediate of the Paramyxovirus PIV5", Y. H. Kim, J. E. Donald, G. Grigoryan, G. P. Leser, A. Y. Fadeev , R. A. Lamb, W. F. DeGrado, Proc. Natl. Acad. Sci. USA, 108(52): 20992-20997, 2011 [DOI].

"Computational Design of Virus-like Protein Assemblies on Carbon Nanotube Surfaces", G. Grigoryan, Y. H. Kim, R. Acharya, K. Axelrod, R. M. Jain, L. Willis, M. Drndic, J. M. Kikkawa, and W. F. DeGrado, Science, 332(6033): 1071-1076, 2011 [DOI].

"Transmembrane Communication: General Principles and Lessons from the Structure and Function of the M2 Proton Channel, K+ Channels, and Integrin Receptors", G. Grigoryan, D. T. Moore, and W. F. DeGrado, Annual Review of Biochemistry, 80: 211-237, 2011 [DOI].

"Probing Designability via a Generalized Model of Helical Bundle Geometry", G. Grigoryan and W. F. DeGrado, Journal of Molecular Biology, 405(4): 1079-1100, 2011 [PubMED] [DOI].

"Identifying and Reducing Error in Cluster Expansion Approximations of Protein Energies", S. Hahn, O. Ashenberg, G. Grigoryan, and A. E. Keating, Journal of Computational Chemistry, 31(16): 2900-2914, 2010 [PubMED] [DOI].

"Identification of bZIP Interaction Partners of Viral Proteins HBZ, MEQ, BZLF1, and K-bZIP Using Coiled-Coil Arrays", A. W. Reinke, G. Grigoryan, and A. E. Keating, Biochemistry, 49(9): 1985-1997, 2010 [PubMED] [DOI].

"Design of Protein-interaction Specificity Gives Selective bZIP-binding Peptides", G. Grigoryan, A. W. Reinke, and A. E. Keating, Nature, 458: 859-864, 2009 [PubMED] [DOI].

"Cluster-Expansion Models for Flexible-Backbone Protein Energetics", J. R. Apgar, S. Hahn, G. Grigoryan, and A. E. Keating, Journal of Computational Chemistry, 30(15): 2402-2413, 2009 [PubMED] [DOI].

"Structural Specificity in Coiled-coil Interactions", G. Grigoryan and A. E. Keating, Current Opinion in Structural Biology, 18(4): 477-483, 2008 [PubMED] [DOI].

"Modest Membrane Hydrogen Bonds Deliver Rich Results", G. Grigoryan and W. F. DeGrado, Nature Chemical Biology, 4: 393-394, 2008 [PubMED] [DOI].

"Computing van der Waals Energies in the Context of the Rotamer Approximation", G. Grigoryan, A. Ochoa, and A. E. Keating, Proteins: Structure, Function, and Bioinformatics, 68(4): 863-878, 2007 [PubMED] [DOI].

"Ultra-fast Evaluation of Protein Conformational Energies Directly from Sequence", G. Grigoryan, F. Zhou, S. R. Lustig, G. Ceder, D. Morgan and A. E. Keating, PLoS Computational Biology, 2(6): e63, 2006 [PubMED] [DOI].

"Structure-based Prediction of bZIP Partnering Specificity", G. Grigoryan and A. E. Keating, Journal of Molecular Biology, 355(5): 1125-1142, 2006 [PubMED] [DOI].

"Coarse-Graining Protein Energetics in Sequence Variables", F. Zhou, G. Grigoryan, S. R. Lustig, A. E. Keating, G. Ceder, and D. Morgan, Physical Review Letters, 95(14): 148103, 2005 [PubMED] [DOI].

"Design of a Heterospecific, Tetrameric, 21-Residue Miniprotein with Mixed alpha/beta Structure", M. H. Ali, C. M. Taylor, G. Grigoryan, K. N. Allen, B. Imperiali, and A. E. Keating, Structure, 13(2): 225-234, 2005 [PubMED] [DOI].

H

Christophe Hauser

Please see my Google Scholar: https://scholar.google.com/citations?user=SMRa4pEAAAAJ&hl=en

Dae Houlihan

Houlihan, S. D., Kleiman-Weiner, M., Hewitt, L. B., Tenenbaum, J. B., & Saxe, R. (2023). Emotion prediction as computation over a generative theory of mind. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 381(2251), 20220047. https://doi.org/10.1098/rsta.2022.0047.

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Houlihan, S. D., Ong, D., Cusimano, M., & Saxe, R. (2022). Reasoning about the antecedents of emotions: Bayesian causal inference over an intuitive theory of mind. Proceedings of the Annual Meeting of the Cognitive Science Society, 44, 854–861. https://escholarship.org/uc/item/7sn3w3n2.

Houlihan, S. D., Tenenbaum, J. B., & Saxe, R. (2021). Linking Models of Theory of Mind and Measures of Human Brain Activity. In M. Gilead & K. N. Ochsner (Eds.), The Neural Basis of Mentalizing (pp. 209–235). Springer International Publishing. https://doi.org/10.1007/978-3-030-51890-5_11.

Saxe, R., & Houlihan, S. D. (2017). Formalizing emotion concepts within a Bayesian model of theory of mind. Current Opinion in Psychology, 17, 15–21. https://doi.org/10.1016/j.copsyc.2017.04.019.

J

Wojciech Jarosz

See my full list of publications on my website.

Prasad Jayanti

P. Jayanti and A. Joshi. Recoverable FCFS Mutual Exclusion with Wait-Free Recovery. In Proceedings of the International Conference on Distributed Computing (DISC), October 2017.

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N. Bansal, V. Bhatt, P. Jayanti, and R. Kondapally. Tight Time-Space Tradeoff for Mutual Exclusion. In Proceedings of the 44th Annual ACM Symposium on Theory of Computing (STOC),New York, NY, May 19-22, 2012. V. Bhatt and P. Jayanti.Constant RMR Solutions to Reader Writer Synchronization.Proceedings of the 29th Annual ACM Symposium on Principles of Distributed Computing (PODC),Zurich, Switzerland, July 25-28, 2010.P. Jayanti. An Optimal Multi-writer Snapshot Algorithm. In Proceedings of the 37th Annual ACM Symposium on Theory of Computing (STOC) May 22-24, 2005 , (2005) 723-732. P. Jayanti and S. Petrovic.Efficient and Practical Constructions of LL/SC Variables.In Proceedings of the 22nd Annual ACM Symposium on Principles of Distributed Computing (PODC),July 2003, pages 285-294. P. Jayanti.Adaptive and Efficient Abortable Mutual Exclusion.In Proceedings of the 22nd Annual ACM Symposium on Principles of Distributed Computing (PODC),July 2003, pages 295-304. P. Jayanti.A Time Complexity Lower Bound for Randomized Implementations of Some Shared Objects.In Proceedings of the 17th Annual ACM Symposium on Principles of Distributed Computing (PODC),June 1998.

K

Inas Khayal

Axiomatic Design Based Human Resources Management for the Enterprise Transformation of the Abu Dhabi Healthcare Labor Pool
Journal of Enterprise Transformation, 2015;5(3): 162-191

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Gender Differences in Real-Home Sleep of Young and Older Couples
Southwest Journal of Pulmonary and Critical Care, May 19, 2015;10(5): 289-29910.13175/swjpcc068-1

Technologically sensed social exposure related to slow-wave sleep in healthy adults
Sleep and Breathing, May 27, 2014;19: 255-26110.1007/s11325-014-1005-x

Evolution of the rainfall regime in the United Arab Emirates
Journal of Hydrology, June 6, 2014;514: 258-270

Change in BMI Accurately Predicted by Social Exposure to Acquaintances
PLOS One, November 20, 2013;8(11): p e7923810.1371/journal.pone.0079238

Identifying Close friendships in a Sensed Social Network
Procedia-Social and Behavioral Sciences, June 6, 2013;79: 18-2610.1016/j.sbspro.2013.05.054

Social fMRI: Investigating and shaping social mechanisms in the real world
Pervasive and Mobile Computing, December 2011;7(6): 643-65910.1016/j.pmcj.2011.09.004

David Kotz

Weijia He, Nathan Reitinger, Atheer Almogbil, Yi-Shyuan Chiang, Timothy J. Pierson, and David Kotz. Contextualizing Interpersonal Data Sharing in Smart Homes. Proceedings of the Privacy Enhancing Technologies Symposium (PETS), volume 2024, number 2, pages 295–312. July 2024. doi:10.56553/popets-2024-0051. [Details]

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Taylor Hardin and David Kotz. Amanuensis: provenance, privacy, and permission in TEE-enabled blockchain data systems. Proceedings of the IEEE International Conference on Distributed Computing Systems, pages 144–156. IEEE, July 2022. doi:10.1109/ICDCS54860.2022.00023. [Details]

Shengjie Bi and David Kotz. Eating detection with a head-mounted video camera. Proceedings of the IEEE International Conference on Healthcare Informatics, pages 60–66. IEEE, June 2022. doi:10.1109/ICHI54592.2022.00021. [Details]

Varun Mishra, Florian Künzler, Jan-Niklas Kramer, Elgar Fleisch, Tobias Kowatsch, and David Kotz. Detecting Receptivity for mHealth Interventions in the Natural Environment. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT/UbiComp), volume 5, number 2, article 74, 24 pages. ACM, June 2021. doi:10.1145/3463492. IMWUT Distinguished Paper Award (DPA). [Details]

Timothy J. Pierson, Ronald Peterson, and David Kotz. Apparatuses, Methods, and Software For Secure Short-Range Wireless Communication. U.S. Patent 11,894,920, February 6, 2024. Priority date 2017-09-06; WO Filed 2018-09-06, US Filed 2020-02-26, Continuation of 11,153,026; Issued 2024-02-06. [Details]

David Kotz and Travis Peters. Challenges to ensuring human safety throughout the life-cycle of Smart Environments. Proceedings of the ACM Workshop on the Internet of Safe Things (SafeThings), pages 1–7. ACM, November 2017. doi:10.1145/3137003.3137012. [Details]

P

Sarah Masud Preum

Joseph Gatto, Madhusudan Basak, and Sarah Masud Preum. "Scope of Pre-trained Language Models for Detecting Conflicting Health Information." In Proceedings of the International AAAI Conference on Web and Social Media, vol. 17, pp. 221-232. 2023.

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Sarah M. Preum, Sirajum Munir, Meiyi Ma, Mohammad Yasar, David J. Stone, Ronald D. Williams, Homa Alemzadeh, and John Stankovic. "A Review of Cognitive Assistants for Healthcare: Trends, Prospects, and Future Directions." ACM Computing Surveys, 2021 [Impact factor: 6.131]

Sarah M. Preum, Homa Alemzadeh, and John Stankovic. "EMSContExt: EMS Protocol-driven Concept Extraction for Cognitive Assistance in Emergency Response." Proceedings of the AAAI Conference on Artificial Intelligence, 2020

Sarah M. Preum, Md A. Mondol, Meiyi Ma, Hongning Wang, John Stankovic. "PreCluDe: Conflict Detection in Textual Health Advice." IEEE International Conference on Pervasive Computing and Communications (PerCom), 2017 [CORE rank: A*, acceptance rate 16.5%]

Sarah M. Preum, John Stankovic, Yanjun Qi. "MAPer: A Multi-Scale Adaptive Personalized Model for Temporal Human Behavior Prediction." ACM International Conference on Information and Knowledge Management (CIKM), 2015 [CORE rank: A]

Sile Shu, Sarah M. Preum, Haydon M. Pitchford, Ronald D. Williams, John Stankovic, and Homa Alemzadeh. "A Behavior Tree Cognitive Assistant System for Emergency Medical Services." IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2019. [CORE rank: A]

Sarah M. Preum, Farhana Choudhury, Mohammed Ali, Sarana Nutanong. "Maximum Visibility Queries in Spatial Databases." International Conference on Data Engineering (ICDE), 2013 [CORE rank: A*]

Meiyi Ma, Sarah M. Preum, Mohsin Ahmed, William Turneberg, Abdeltawab Hendawi, John Stankovic. "Data Sets, Modeling and Decision Making in Smart Cities: A Survey." Transactions on Cyber Physical Systems (TCPS), 2019

Temiloluwa O. Prioleau

P. Belsare, A. Bartolome, C. Stanger, T. Prioleau, Understanding temporal changes and seasonal variations in glycemic trends using wearable data. Science Advances, vol. 9, issue 38, 2023. DOI:10.1126/sciadv.adg2132

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T. Prioleau, A. Bartolome, R. Comi, C. Stanger. DiaTrend: A dataset from advanced diabetes technology to enable development of novel analytic solutions. Scientific Data 10, 556 (2023). https://doi.org/10.1038/s41597-023-02469-5

A. Bartolome and T. Prioleau, "A Computational Framework for Discovering Digital Biomarkers of Glycemic Control," npj Digital Medicine, vol. 5, no. 111, 2022. DOI: https://www.nature.com/articles/s41746-022-00656-z

A. Bartolome, S. Shah, T. Prioleau, "GlucoMine: A Case for Improving the Use of Wearable Device Data in Diabetes Management," Proc. ACM on Interactive, Mobile, Wearable, and Ubiquitous Technologies (IMWUT), vol. 5, no. 3, 2021. DOI: https://doi.org/10.1145/3478109

K. Gu, S. Vosoughi, T. Prioleau, "SymptomID: A Framework for Rapid Identification of Pandemics using News Reports," ACM Transactions on Management Information Systems (TMIS), vol. 12, no. 4, 2021. DOI: https://doi.org/10.1145/3462441

S. Morton, R. Li, S. Dibbo, T. Prioleau, "Data-driven Insights on Behavioral Factors that Affect Diabetes Management," IEEE Engineering in Medicine and Biology Conference (EMBC), 2020. DOI: 10.1109/EMBC44109.2020.9176414

T. Prioleau, A. Sabharwal, M. Vasudevan, "Understanding Reflection Needs for Personal Health Data in Diabetes." Int. Conf. on Pervasive Computing for Healthcare (PervasiveHealth), 2020. DOI: https://doi.org/10.1145/3421937.3421972

Bedri, R. Li, M. Haynes, R. Kosaraju, I. Grover, T. Prioleau, M. Beh, M. Goel, T. Starner, G. Abowd, "EarBit: Using Wearable Sensors to Detect Eating Episodes in Unconstrained Environments," Proc. ACM on Interactive, Mobile, Wearable, and Ubiquitous Technologies (IMWUT), vol. 1, no. 3, 2017. DOI: 10.1145/3130902

T. Prioleau, E. Moore, M. Ghovanloo, "Unobtrusive and Wearable Systems for Automatic Dietary Monitoring," IEEE Trans. of Biomedical Engineering (TBME), vol. 64, no. 9, 2017. DOI: 10.1109/TBME.2016.2631246.

Q

Alberto Quattrini Li

S. Lensgraf, D. Balkcom, and A. Quattrini Li, "Buoyancy enabled autonomous underwater construction with cement blocks," in IEEE International Conference on Robotics and Automation (ICRA), 2023

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S. Rahman, A. Quattrini Li, and I. Rekleitis, "SVIn2: A multi-sensor fusion-based underwater SLAM system," The International Journal of Robotics Research, vol. 41, no. 11-12, pp. 1022–1042, 2022.

M. Roznere and A. Quattrini Li, "Underwater monocular depth estimation using single-beam echo sounder," in Proceedings of the IEEE International Conference on Intelligent Robots and Systems (IROS), 2020.

M. Jeong and A. Quattrini Li, "Risk Vector-based Near miss and Real-time Obstacle Avoidance for Autonomous Surface Vehicles," in Proceedings of the IEEE International Conference on Intelligent Robots and Systems (IROS), 2020.

A. Quattrini Li, P. K. Penumarthi, J. Banfi, N. Basilico, J. O'Kane, I. Rekleitis, S. Nelakuditi, and F. Amigoni, "Multi-robot Online Sensing Strategies for the Construction of Communication Maps," Autonomous Robots,1–21. 2019.

J. Banfi, A. Quattrini Li, I. Rekleitis, F. Amigoni, and N. Basilico, "Strategies for coordinated multirobot exploration with recurrent connectivity constraints," Autonomous Robots, vol. 42, pp. 875–894, 2018.

S. Manjanna, A. Quattrini Li, R. N. Smith, I. Rekleitis, and G. Dudek, "Heterogeneous multirobot system for exploration and strategic water sampling," in Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), 2018.

A. Quattrini Li, R. Fioratto, F. Amigoni, and V. Isler, "A search-based approach to solve pursuit-evasion games with limited visibility in polygonal environments," in Proceedings of the International Conference on Autonomous & Multiagent Systems (AAMAS), 2018.

A. Quattrini Li, R. Cipolleschi, M. Giusto, and F. Amigoni, "A semantically-informed multirobot system for exploration of relevant areas in search and rescue settings," Autonomous Robots, vol. 40, no. 4, pp. 581–597, 2016.

A. Quattrini Li, M. Xanthidis, J. M. O'Kane, and I. Rekleitis, "Active localization with dynamic obstacles," in Proceedings of the IEEE/RSJ International Conference on Intelligent Robotics Systems (IROS), 2016, pp. 1902–1909.

R

Daniel Rockmore

D. Rockmore (ed.). (2017). What are the Arts and Sciences? A Guide for the Curious. UPNE.

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C. Fang, N. Foti, D. Krakauer, and T. Ginsburg, D. Rockmore, The Cultural Evolution of National Constitutions, Journal of the Association for Information Science and Technology. To appear, 2017. Online https://papers.ssrn.com/sol3/papers.cfm?abstract id=2739824.

D. Maslen, D. N. Rockmore, and S. Wolff. (2016). The Efficient Computation of Fourier Transforms on Semisimple Algebras. Journal of Fourier Analysis and Applications. DOI: 10.1007/s00041-017-9555-5.

S. Brocklebank, S. Pauls, D. Rockmore, and T. Bates. (2015). A Spectral Clustering Approach to the Structure of Personality: Contrasting the FFM and HEXACO Models, Journal of Research in Personality, 57, 100109.

F. Caccioli, D. Farmer, N. Foti, and D. Rockmore. (2015).Overlapping Portfolios, Contagion, and Financial Stability. J. Econ. Dynamics and Control, Volume 51, pp. 50–63.

Rockmore, D, J D Van Horn, S T Grafton, and M S Gazzaniga, "Sharing Neuroimaging Studies of Human Cognition," Nature Neuroscience , 7 (2004) 473-481.

D. Rockmore, S. Lyu and H. Farid. (2004). A Digital Technique for Art Authentication. PNAS, Proceedings of the National Academy of Sciences, 101:49 (2004) 17006-17010.

S

Sean W. Smith

Sean W. Smith.
The Internet of Risky Things: Trusting the Devices that Surround Us.
O'Reilly. 2017.

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P. Anantharaman, K. Palani, D. Nicol, S.W. Smith.
"I am Joe's Fridge: Scalable Identity in the Internet of Things"
IEEE International Conference on Internet of Things.
December 2016.

S. Bratus, M. Patterson, A. Crain, S. Hallberg, S.W. Smith.
"Implementing a Vertically Hardened DNP3 Control Stack for Power Applications."
ACSAC Industrial Control System Security Workshop.
December 2016.

S.W. Smith, R. Koppel, J. Blythe, V. Kothari.
"Mismorphism: a Semiotic Model of Computer Security Circumvention"
International Symposium on Human Aspects of Information Security and Assurance (HAISA 2015).
July 2015

V. Kothari, J. Blythe, S.W. Smith, R. Koppel.
"Measuring the Security Impacts of Password Policies Using Cognitive Behavioral Agent-Based Modeling."
ACM Symposium and Bootcamp on the Science of Security (HotSoS).
April 2015.

P. Johnson, S. Bratus, S.W. Smith.
"Protecting Against Malicious Bits On the Wire: Automatically Generating a USB Protocol Parser for a Production Kernel."
Annual Computer Security Applications Conference (ACSAC)
December 2017

S.W. Smith.
"Security and Cognitive Bias: Exploring the Role of the Mind."
IEEE Security and Privacy.
September/October 2012. 10 (5): 75--78. September/October 2012.

Sean W. Smith, John C. Marchesini.
The Craft of System Security.
Addison-Wesley. 2007.

T

Yu-Wing Tai

Please check my Google Scholar:
https://scholar.google.com/citations?user=nFhLmFkAAAAJ&hl=en

V

Soroush Vosoughi

See the full list of my publications here and my google scholar profile here.

W

Peter Winkler

The sleeping beauty controversy, American Mathematical Monthly 124 #7 (Aug-Sept 2017), 579-587.

Show All Publications

Cop vs. gambler (with N. Komarov), Discrete Mathematics 339 #6 (June 2016), 1677-1681.

Hunter, Cauchy rabbit and optimal Kakeya sets (with Y. Babichenko, Y. Peres, R. Peretz, and P. Sousi), Transactions of the AMS 366 #10 (Oct. 2014), 5567-5586.

The phase transition for dyadic tilings (with O. Angel, A. Holroyd, G. Kozma, and J. Wastlund), Transactions of the AMS 366 #2 (Feb. 2014), 1029-1046.

Can extra updates delay mixing? (with Y. Peres), Communications in Mathematical Physics 323 (2013), 1007-1016.

Proof of the Squashed Cube Conjecture, Combinatorica 3 #1 (1983), 135-139.

Y

Yujun Yan

Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks. Yujun Yan, Milad Hashemi, Kevin Swersky, Yaoqing Yang, Danai Koutra. The IEEE International Conference on Data Mining (ICDM) 2022.

Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Designs. Jiong Zhu, Yujun Yan, Lingxiao Zhao, Mark Heimann, Leman Akoglu, Danai Koutra. Conference on Neural Information Processing Systems (NeurIPS) 2020.

Neural Execution Engines: Learning to Execute Subroutines. Yujun Yan, Kevin Swersky, Danai Koutra, Parthasarathy Ranganathan, Milad Hashemi. Conference on Neural Information Processing Systems (NeurIPS) 2020.

Z

Olga Zhaxybayeva

Roman Kogay, Sonja Koppenhöfer, J Thomas Beatty, Jens H Kuhn, Andrew S Lang, Olga Zhaxybayeva (2022): "Formal recognition and classification of gene transfer agents as viriforms." Virus Evolution, 8: veac100.

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Roman Kogay and Olga Zhaxybayeva (2022): "Selection for Translational Efficiency in Genes Associated with Alphaproteobacterial Gene Transfer Agents." mSystems, 7: e0089222.

Zhengshuang Hua, Matthew Ouellette, Andrea M. Makkay, R. Thane Papke, and Olga Zhaxybayeva (2021): "Nutrient supplementation experiments with saltern microbial communities implicate utilization of DNA as a source of phosphorus", ISME Journal, 15: 2843-2864

Emma S. Esterman, Yuri I. Wolf, Roman Kogay, Eugene V. Koonin, and Olga Zhaxybayeva (2021): "Evolution of DNA packaging in gene transfer agents", Virus Evolution, 7: veab015.

Roman Kogay, Yuri I Wolf, Eugene V Koonin, and Olga Zhaxybayeva (2020): "Selection for Reducing Energy Cost of Protein Production Drives the GC Content and Amino Acid Composition Bias in Gene Transfer Agents", mBio, 11:e01206-20.

Chase WR, Zhaxybayeva O, Rocha J, Cosgrove DJ, Shapiro LR. (2020) "Global cellulose biomass, horizontal gene transfers and domain fusions drive microbial expansin evolution." New Phytol., 226:921-938.

Kogay R, Neely TB, Birnbaum DP, Hankel CR, Shakya M, Zhaxybayeva O. (2019): "Machine-learning classification suggests that many alphaproteobacterial prophages may instead be gene transfer agents", Genome Biol Evol., evz206.

Bauer KM, Dicovitsky R, Pellegrini M, Zhaxybayeva O, Ragusa MJ. (2019): "The structure of a highly-conserved picocyanobacterial protein reveals a Tudor domain with an RNA-binding function", J Biol Chem., 294:14333-14344.

Stephen M. J. Pollo, Abigail A. Adebusuy, Timothy J. Straub, Julia M. Foght, Olga Zhaxybayeva, Camilla L. Nesbo (2017) "Genomic insights and temperature-dependent transcriptional responses of Kosmotoga olearia, a deep-biosphere bacterium that can grow from 20C to 79C", Extremophiles, 21:963-979.

Complete list of publications is available at https://labofoz.host.dartmouth.edu/2.0/publications-2/

Bo Zhu

Shiying Xiong, Yunjin Tong, Xingzhe He, Cheng Yang, Shuqi Yang, Bo Zhu. Nonseparable Symplectic Neural Networks. International Conference on Learning Representations (ICLR 2021).

Yitong Deng, Yaorui Zhang, Xingzhe He, Shuqi Yang, Yunjin Tong, Michael Zhang, Daniel M. DiPietro, Bo Zhu. Soft Multicopter Control using Neural Dynamics Identification. Conference on Robot Learning (CoRL 2020).

Shuqi Yang, Xingzhe He, Bo Zhu. Learning Physical Constraints with Neural Projections. Neural Information Processing Systems (NeurIPS 2020).

Daniel M. DiPietro, Shiying Xiong, Bo Zhu. Sparse Symplectically Integrated Neural Networks, Neural Information Processing Systems (NeurIPS 2020).

Hui Wang, Yongxu Jin, Anqi Luo, Xubo Yang, Bo Zhu. Codimensional Surface Tension Flow using Moving-Least-Squares Particles. ACM Transactions on Graphics (SIGGRAPH 2020).

Xingyu Ni, Bo Zhu, Bin Wang, Baoquan Chen. A Level-Set Method for Magnetic Substance Simulation. ACM Transactions on Graphics (SIGGRAPH 2020).

Desai Chen, Melina Skouras, Bo Zhu, Wojciech Matusik. 2018. Computational Discovery of Extremal Microstructure Families. Science Advances 4(1), 2018.

Bo Zhu, Melina Skouras, Desai Chen, Wojciech Matusik. Two-scale Topology Optimization with Microstructures. ACM Transactions on Graphics, 36(5):164, 2017.