Faculty Publications and Awards

A

Cecilia Ovesdotter Alm

2019 Publications:

  1. Jessica Li, Matt Luettgen, Matt Huenerfauth, Sedeeq Al-khazraji, Reynold Bailey, and Cecilia O. Alm. Forthcoming. Gaze guidance for captioned videos for DHH users. In Proceedings of the 35th CSUN Assistive Technology Conference – Journal track. Accepted.
  2. Elizabeth Lucas, Cecilia O. Alm, and Reynold Bailey. Forthcoming. Understanding human and predictive moderation of online science discourse. In Proceedings of the 2019 IEEE Western New York Image and Signal Processing Workshop. Accepted.
  3. Yashowardhan Soni, Cecilia O. Alm, and Reynold Bailey. Forthcoming. Affective video recommender system. In Proceedings of the 2019 IEEE Western New York Image and Signal Processing Workshop. Accepted.
  4. Wang, Regina, Bradley Olson, Preethi Vaidyanathan, Reynold Bailey, Cecilia O. Alm. Forthcoming. Fusing dialogue and gaze from discussions of 2D and 3D scenes. In Proceedings of the 21st ACM International Conference on Multimodal Interaction, Suzhou, Jiangsu, China (Late-breaking Results). Accepted.
  5. Saraf, Monali, Tyrell Roberts, Raymond Ptucha, Christopher Homan, Cecilia O. Alm. Forthcoming. Multimodal anticipated versus actual perceptual reactions. In Proceedings of the 21st ACM International Conference on Multimodal Interaction, Suzhou, Jiangsu, China (Late-breaking Results). Accepted.
  6. Sushant Kafle, Cecilia O. Alm, and Matt Huenerfauth. 2019. Fusion strategy for prosodic and lexical representations of word importance. In Proceedings of Interspeech.
  7. Lucas Kessler, Cecilia O. Alm, and Reynold Bailey. 2019. Synthesized spoken names: Biases impacting perception. In Proceedings of Interspeech (Show and Tell), 3689-3690.
  8. Sushant Kafle, Cecilia O. Alm, and Matt Huenerfauth. 2019. Modeling acoustic-prosodic cues for word importance prediction in spoken dialogues. In Proceedings of the 8th Workshop on Speech and Language Processing for Assistive Technologies, SLPAT 2019 (at NAACL 2019), pages 9-16.
  9. Gustaf Bohlin, Kristoffer Linderman, Cecilia O. Alm, and Reynold Bailey. 2019. Considerations for face-based data estimates: Affect reactions to videos. In Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 2: HUCAPP (Third International Conference on Human Computer Interaction Theory and Applications), pages 188-194.

Grants:

  1. Aug 2019 NSF REU Site  $20.000  Supplemental funding  PI. with R. Bailey and team, see: http://cs.rit.edu/~reu/
  2. Feb 2019 NSF REU Site   $359,927 Computational sensing for human-centered AI (NSF award # 1851591)  PI. With R. Bailey and team, see: https://cs.rit.edu/~reu/

Ongoing/Recent Activities:

  1. Diversity & Inclusion Co-chair for ACL 2020. https://acl2020.org/organization
  2. Publicity Co-chair for Second Workshop on Human-Centered Computational Sensing at PerCom 2020, https://sites.google.com/view/hccs2020/
  3. On sabbatical 2019-2020 as Visiting Research Professor in the  Department of Computer Science and Media Technology, Malmö University, Sweden
  4. October 2019: Presented a talk at IT University of Copenhagen titled Sensing language (+ X) for human-centered AI
  5. June 2019: Co-led the Fourth REU Graduate Study and Research Symposium
  6. https://www.rit.edu/news/rit-hosts-reu-graduate-study-and-research-symposium-june-28
  7. https://www.rit.edu/news/rit-research-helps-artificial-intelligence-be-more-accurate-fair-and-inclusive

 

 

 

B

C

Taejoong (Tijay) Chung

News:

  1. Feb 02 2020 Our paper that studied the email PKI ecosystem (DANE) has received a decision of 'Minor Revision' at USENIX Security 2020! This work was done with two students who had an internship at RIT!
  2. Jan 28 2020 I wrote a guest blog post for APNIC about securing BGP using RPKI and its current status: Is RPKI ready for the big screen?
  3. Dec 18 2019 Congrats to Spencer Roth, an undergraduate student at RIT working on DNSSEC research, is selected for Honorable Mention for the CRA Outstanding Undergraduate Researcher Award!
  4. Oct 21 2019 Our DNSSEC Root KSK Rollover paper got a Distinguished Paper Award at IMC'19!
  5. Sep 15 2019 Our paper investigating domain impersonation (e.g., phishing) in TLS certificates has been accepted at CCS'19!
  6. Tijay Chung is part of team who won a $3M NSF grant for developing evolvable Public Key Infrastructure
    The Transport Layer Security (TLS) public key infrastructure (PKI) is what provides confidentiality and integrity in HTTPS, as well as a variety of other systems including email (IMAP), voice-over-IP, social networking, and mobile application APIs. Despite its tremendous importance, PKI suffers from a number of issues, such as certificate authorities (CAs) in the PKI having the right to issue a TLS certificate for any domain and the protocols that the PKI relies on often having hidden dependencies on underlying, insecure technologies. While it is tempting to simply declare that a clean-slate approach is required, completely replacing distributed systems that no single entity controls is very hard in practice. This project will address issues in the TLS PKI in ways that can be incrementally deployed and thus improve security progressively over time.
     

2019-2020 Publications:

  1. A Longitudinal and Comprehensive Study of the DANE Ecosystem in Email (Minor Revision)
    Hyeonmin Lee, Aniketh Gireesh, Roland van Rijswijk-Deij, Taekyoung Kwon, and Taejoong Chung
    In Proceedings of the USENIX Security Symposium (Security'20), Boston, United States, August 2020
  2. You Are Who You Appear to Be: A Longitudinal Study of Domain Impersonation in TLS Certificates  Richard Roberts, Yaelle Goldschlag, Rachel Walter, Taejoong Chung, Alan Mislove, and Dave Levin In Proceedings of the The ACM Conference on Computer and Communications Security (CCS'19), London, United Kingdom, November 2019
  3. Tracking Registrar Support for DNSSEC: It's Slowly Getting Better (Reproducibility Track)
    Spencer Roth, Roland van Rijswijk-Deij, and Taejoong Chung
    In Proceedings of the ACM Internet Measurement Conference (IMC'19), Amsterdam, Netherlands, October 2019
  4. RPKI is Coming of Age: A Longitudinal Study of RPKI Deployment and Invalid Route Origins
    Taejoong Chung, Emile Aben, Tim Bruijnzeels, Balakrishnan Chandrasekaran, David Choffnes, Dave Levin, Bruce M. Maggs, Alan Mislove, Roland van Rijswijk-Deij, John P. Rula, and Nick Sullivan
    In Proceedings of the ACM Internet Measurement Conference (IMC'19), Amsterdam, Netherlands, October 2019
  5. Roll, Roll, Roll your Root: A Comprehensive Analysis of the First Ever DNSSEC Root KSK Rollover
    Moritz Müller, Matthew Thomas, Duane Wessels, Wes Hardaker, Taejoong Chung, Willem Toorop, and Roland van Rijswijk-Deij
    In Proceedings of the ACM Internet Measurement Conference (IMC'19), Amsterdam, Netherlands, October 2019
  6. Rolling with Confidence: Managing the Complexity of DNSSEC Operations
    Moritz Müller, Taejoong Chung, Alan Mislove, and Roland van Rijswijk-Deij
    IEEE Transactions on Network and Service Management (IEEE TNSM), Sepember 2019
  7. maTLS: How to Make TLS middlebox-aware?
    Hyunwoo Lee, Zachary Smith, Junghwan Lim, Gyeongjae Choi, Selin Chun, Taejoong Chung, and Ted "Taekyoung" Kwon
    In Proceedings of the Network and Distributed System Security Symposium (NDSS'19), San Diego, USA, February 2019

Grants:

  1. CNS Core: Large: Collaborative Research: Towards an Evolvable Public Key Infrastructure, CNS-1901090, 06/2019–05/2022. Primary Investigator, joint with Christo Wilson, Dave Levin, Alan Mislove, Bryan Parno, and Bruce Maggs. $213,851 (RIT), $2,000,000 (total).
  2. CRII: SaTC: Measuring and Improving the Management of Resource Public Key Infrastructure (RPKI), CNS-1850465, 10/2019–09/2021. Primary Investigator. $166,561.

Awards:

  • Tijay Chung was selected as one of the 2019 awardees of the Applied Networking Research Prize
  • Oct 21 2019 Our DNSSEC Root KSK Rollover paper got a Distinguished Paper Award at IMC'19!

D

Travis Desell

Book Chapter:

  1. Travis Desell, AbdElRahman ElSaid, and Alexander Ororbia. Investigating Deep Recurrent Connections and Recurrent Memory Cells Using Neuro-Evolution. In H. Iba and N. Noman: Deep Neural Evolution – Deep Learning with Evolutionary Computation. 36 pages. Springer, 2020.

Journal Article:

  1. Desell, Travis J., AbdElRahman A. ElSaid, Zimeng Lyu, David Stadem, Shuchita Patwardhan, and Steve Benson. Long Term Predictions of Coal Fired Power Plant Data Using Evolved Recurrent Neural Networks. at - Automatisierungstechnik, 68.2 (2020): 130-139. https://doi.org/10.1515/auto-2019-0116

Conference Papers:

  1. AbdElRahman ElSaid. Alexander G. Ororbia and Travis J. Desell. Ant-based Neural Topology Search (ANTS) for Optimizing Recurrent Networks.  In The 23nd International Conference on the Applications of Evolutionary Computation (EvoStar: EvoApps 2020). Seville, Spain.
  2. Travis Desell, AbdElRahman ElSaid and Alexander G. Ororbia. An Empirical Exploration of Deep Recurrent Connections Using Neuro-Evolution. In The 23nd International Conference on the Applications of Evolutionary Computation (EvoStar: EvoApps 2020). Seville, Spain.
  3. AbdElRahman ElSaid, Joshua Karns, Zimeng Lyu, Daniel Krutz, Alexander G. Ororbia and Travis Desell. 2020. Neuro-Evolutionary Transfer Learning through Structural Adaptation. In The 23nd International Conference on the Applications of Evolutionary Computation (EvoStar: EvoApps 2020). Seville, Spain.

E

F

Mingming Fan

Peer-reviewed Journal Parpers:

  1. Mingming Fan, Serina Shi, and Khai N Truong.  Practices and challenges of using think-aloud protocols in industry. Journal of Usability Studies, 15(4), 2020.
  2. Ma, S., Liu, Q., Fan, M., Sheu, P. 2019. Projected Visible Light for 3D Finger Tracking and Device Augmentation on Everyday Objects. Internet of Things. 2019. Elsevier. DOI: https://doi.org/10.1016/j.iot.2019.02.004
  3. Fan, M., Lin, J., Chung, C., Truong, K.N. 2019. Concurrent Think-aloud Verbalizations and Usability Problems. ACM Transactions on Computer-Human Interaction, 26(5), Article 28, (July 2019), 35 pages. DOI: https://doi.org/10.1145/3325281

  4. Li, F. M., Chen, D. L., Fan, M., Truong, K. N. 2019. FMT: A Wearable Camera-Based Object Tracking Memory Aid for Older Adults. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 3(3), Article 95, (September 2019), 25 pages. DOI: https://doi.org/10.1145/3351253

  5. Fan, M., Wu, K., Zhao, J., Li, Y., Wei, W., Truong, K. N. 2019. VisTA: Integrating Machine Intelligence with Visualization to Support the Investigation of Think-Aloud Sessions. IEEE Transactions on Visualization and Computer Graphics. DOI: https://doi.org/10.1109/TVCG.2019.2934797

Selected Recent Peer-reviewed Conference Papers (In the Main Archived Proceedings)

  1. Teng Han, Sirui Wang, Sijia Wang, Xiangmin Fan, Jie Liu, Feng Tian, and Mingming Fan. Mouillé: Exploring wetness illusion on fingertips to enhance immersive experience in VR.  In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (CHI’20).

  2. Han, T., Liu, J., Hasan, K., Fan, M., Kim, J., Li, J., Fan, X., Tian, F., Lank, E. and Irani, P. 2019. PinchList: Leveraging Pinch Gestures for Hierarchical List Navigation on Smartphones. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (CHI '19), ACM, New York, NY, USA.

  3. Lu, Z., Annett, M., Fan, M., Wigdor, D. “I feel it is my responsibility to stream”: Streaming and Engaging with Intangible Cultural Heritage through Livestreaming. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (CHI '19),ACM, New York, NY, USA.

Presentations:

  1. Feb 2020,  PhD colloquium talk, Golisano College of Computing and Information Sciences, RIT
    Title: Toward AI-Assisted User Experience (UX) Analysis Methods: Leveraging Subtle Verbalization and Speech Patterns to Facilitate the Analysis of Think-Aloud UX Test Sessions.
  2. Dec 2019, Invited talk, Institute of Software, Chinese Academy of Sciences
    Title: Toward AI-Assisted UX Analysis Methods: Leveraging Subtle Verbalization and Speech Patterns to Help Evaluators Identify UX Problems in Think-Aloud Usability Testing.

     

Honor Awards and Grants:

  • Principle Investigator (PI), Seed fund, Global Cybersecurity Institute, RIT, Amount: $15,400
  • 2019, Best Paper Award, ACM CHI 2019 (ACM CHI is the flagship conference in the field of Human-Computer Interaction)

 

G

H

Edith Hemaspaandra

News 

Three Theory Lab Student Abstracts accepted to AAAI-20

David E. Narváez’s paper “A QSAT Benchmark Based on Vertex-Folkman Problems,” Andrew Searns’s paper "Fairness Does Not Imply Satisfaction," and Wenbo Sun’s paper "Sampling Random Chordal Graphs by MCMC” were recently accepted to the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20) Student Abstract and Poster Program.

Publications in Proceedings of Selective Conferences:

  1. Finding Optimal Solutions With Neighborly Help, E. Burjons, F. Frei, E. Hemaspaandra, D. Komm, and D. Wehner, Proceedings of the 44th International Symposium on Mathematical Foundations of Computer Science (MFCS 2019), pp. 78:1–78:14, August 2019.
  2. The Complexity of Online Bribery in Sequential Elections, E. Hemaspaandra, L. Hemaspaandra, and J. Rothe, Proceedings of the 17th Conference on Theoretical Aspects of Rationality and Knowledge, Electronic Proceedings in Theoretical Computer Science #297, pp. 233–251, July 2019.
  3. Very Hard Electoral Control Problems, Z. Fitzsimmons, E. Hemaspaandra, A. Hoover, and D. Narváez, Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence (AAAI 2019), pp 1933-1940, January/February 2019.

Refereed Journal Publications:

  1. Search versus Decision for Election Manipulation Problems, E. Hemaspaandra, L. Hemaspaandra, and C. Menton, ACM Transactions on Computation Theory, accepted.
  2. High-Multiplicity Election Problems, Z. Fitzsimmons and E. Hemaspaandra, Journal of Autonomous Agents and Multi-Agent Systems, Vol. 33, #4, pp. 383-402, 2019.

Book Chapters:

  1. Credimus, E. Hemaspaandra, and L. Hemaspaandra, in The Future of Economic Design, ed. J.F. Laslier, H. Moulin, R. Sanver, and W. Zwicker, Springer, pp. 141-152, 2019.

 


 

Hadi Hosseini

2019-2020 Publications:

  1. Hadi Hosseini, Sujoy Sikdar, Rohit Vaish, Jun Wang, and Lirong Xia. Fair Division through Information Withholding.  In AAAI-20: Proc. of the 34th AAAI Conference on Artificial Intelligence, 2020.
  2. Andrew Searns and Hadi Hosseini. Fairness Does Not Imply Satisfaction.  In AAAI-20: Proc. of the 34th AAAI Conference on Artificial Intelligence, 2020.

  3. James Ferris and Hadi Hosseini. MatchU: An Interactive Matching Platform.  In AAAI-20: Proc. of the 34th AAAI Conference on Artificial Intelligence, 2020. (Demo Paper)

  4. John Doucette, Alan Tsang, Hadi Hosseini, Robin Cohen, and Kate Larson. Inferring true voting outcomes in homophilic social networks. Autonomous Agents and Multi-Agent Systems, 33(3), 298–329, 2019.

  5. Hadi Hosseini, Maxwell Hartt, and Mehrnaz Mostafapour. Learning is child’s play: Game-based learning in computer science education.
    ACM Transactions on Computing Education (TOCE), 19(3):22:1–22:18, 2019.

  6. Hadi Hosseini, and Kate Larson. Multiple Assignment Problems under Lexicographic Preferences.
    In Proceedings of the 18th International Conference on Autonomous Agents and Multi-Agent Systems, pp. 837-845. International Foundation for Autonomous Agents and Multiagent Systems, 2019.

  7. Hadi Hosseini, Sujoy Sikdar, Rohit Vaish, Jun Wang, and Lirong Xia Fair Division through Information Withholding. In AI for Social Good Workshop at IJCAI, 2019.

  8. Angelina Brilliantova, Anton Pletenev, and Hadi Hosseini. The Rise and Fall of Complex Family Structures: Coalition Formation, Stability, and Power Struggle. In Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, pp. 1847-1849. International Foundation for Autonomous Agents and Multiagent Systems, 2019.

  9. Theodora Bendline and Hadi Hosseini. Partners in crime: Manipulating the deferred acceptance algorithm through an accomplice.  In Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19), pages 9917-9918, 2019.

  10. Hadi Hosseini and Laurel Perweiler. Are You Game? Assessing Students’ Perception of Learning, Instructors’ Perspective, and Learning Attitudes. In Proceedings of the 50th ACM Technical Symposium on Computer Science Education (SIGCSE), pages 866-872. ACM, 2019.

Book Chapter:

  1. Maxwell Hartt and Hadi Hosseini. Exploration: From the players point of view. In Alison James and Chrissi Nerantzi, editors, The Power of Play in Higher Education, pages 263-271. Palgrave Macmillan, 2019.

Grants:

  1. Hadi Hosseini (PI), "CRII: RI: Fair, Efficient, and Truthful Resource Allocation in Dynamic Environments," National Science Foundation (NSF). $173,656. 2019.
  2. Carlos Rivero (PI), Hadi Hosseini (co-PI), and Zack Butler (co-PI), "IUSE: EHR: Using Program Dependence Graphs to Propagate Feedback to Students on Programming Assignments and Promote Responsive Teaching," National Science Foundation (NSF).  $292,868. 2019.

 


 

Matt Huenerfauth

2019-2020 Publications:

Journal Articles:

  1. Jessica Li, Matt Luettgen, Matt Huenerfauth, Sedeeq Al-khazraji, Reynold Bailey, Cecilia O. Alm. 2020. Gaze Guidance for Captioned Videos for DHH Users. Journal on Technology and Persons with Disabilities, Volume 8, California State University, Northridge. 

  2. Larwan Berke, Matt Huenerfauth, and Kasmira Patel. 2019. Design and Psychometric Evaluation of American Sign Language Translations of Usability Questionnaires. ACM Transactions on Accessible Computing 12, 2, Article 6 (June 2019), 43 pages. https://doi.org/10.1145/3314205 [Available on ACM Digital Library]

  3. Sushant Kafle and Matt Huenerfauth. 2019. Predicting the Understandability of Imperfect English Captions for People Who Are Deaf or Hard of Hearing. ACM Transactions on Accessible Computing 12, 2, Article 7 (June 2019), 32 pages. https://doi.org/10.1145/3325862 [Available on ACM Digital Library]

  4. Abhishek Mhatre, Sedeeq Al-khazraji, Matt Huenerfauth. 2019. Evaluating Sign Language Animation through Models of Eye Movements. Journal on Technology and Persons with Disabilities, California State University, Northridge. [Available on ScholarWorks]

Conference Proceedings:

  1. Oliver Alonzo, Matthew Seita, Abraham Glasser, Matt Huenerfauth. 2020. Automatic Text Simplification Tools for Deaf and Hard of Hearing Adults: Benefits of Lexical Simplification and Providing Users with Autonomy. In Proceedings of the 2020 ACM Conference on Human Factors in Computing Systems (CHI'20). New York, ACM. [~25% paper-acceptance rate]

  2. Danielle Bragg, Oscar Koller, Mary Bellard, Larwan Berke, Patrick Boudreault, Annelies Braffort, Naomi Caselli, Matt Huenerfauth, Hernisa Kacorri, Tessa Verhoef, Christian Vogler, Meredith Ringel Morris. 2019. Sign Language Recognition, Generation, and Translation: An Interdisciplinary Perspective. In The 21st International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS '19). ACM, New York, NY, USA, 16-31. Conference acceptance rate of 26%  DOI: https://doi.org/10.1145/3308561.3353774  Conference Award: Best Paper Award, ASSETS 2019.

  3. Sushant Kafle, Peter Yeung and Matt Huenerfauth. 2019. Evaluating the Benefit of Highlighting Key Words in Captions for People who are Deaf or Hard of Hearing. In The 21st International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS '19). ACM, New York, NY, USA, 43-55. DOI: https://doi.org/10.1145/3308561.3353781 Conference acceptance rate of 26%

  4. Oliver Alonzo, Abraham Glasser and Matt Huenerfauth. 2019. Effect of Automatic Sign Recognition Performance on the Usability of Video-Based Search Interfaces for Sign Language Dictionaries. In The 21st International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS '19). ACM, New York, NY, USA, 56-67. Conference acceptance rate of 26%  DOI: https://doi.org/10.1145/3308561.3353791

  5. Sushant Kafle, Cecilia O. Alm, Matt Huenerfauth. 2019. Fusion Strategy for Prosodic and Lexical Representations of Word Importance. In Proceedings of the 20th Annual Conference of the International Speech Communication Association (INTERSPEECH 2019), Graz, Austria. International Speech Communication Association. Conference acceptance rate below 50%
    DOI: http://dx.doi.org/10.21437/Interspeech.2019-1898

  6. Larwan Berke, Khaled Albusays, Matthew Seita, Matt Huenerfauth. 2019. " Preferred Appearance of Captions Generated by Automatic Speech Recognition for Deaf and Hard-of-Hearing Viewers." In Proceedings of the 2019 ACM Conference on Human Factors in Computing Systems (CHI'19 Extended Abstracts). ACM, New York, NY, USA,  6 pages. DOI: https://doi.org/10.1145/3290607.3312921 

  7. Sushant Kafle, Cecilia O. Alm, Matt Huenerfauth. 2019. Modeling Acoustic-Prosodic Cues for Word Importance Prediction in Spoken Dialogues. In Proceedings of the 8th Workshop on Speech and Language Processing for Assistive Technologies (SLPAT'19). Collocated with the 2019 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL'19). Minneapolis, Minnesota, United States, June 7, 2019. DOI: https://doi.org/10.18653/v1/W19-1702

Book Chapters:

  1. Peter Yeung, Oliver Alonzo, Matt Huenerfauth. 2020 (to appear). “Interest and Requirements for Sound-Awareness Technologies among Deaf and Hard-of-Hearing Users of Assistive Listening Devices.” Universal Access in Human-Computer Interaction. HCII 2020. Lecture Notes in Computer Science. Springer, Cham. [peer-reviewed conference paper, published as book chapter]

  2. Utsav Shah, Matthew Seita, and Matt Huenerfauth. 2019. "Evaluation of User-Interface Designs for Educational Feedback Software for ASL Students." In: Antona M., Stephanidis C. (eds) Universal Access in Human-Computer Interaction. Theory, Methods and Tools. HCII 2019. Lecture Notes in Computer Science, vol 11572, pp. 507-525. Springer, Cham. DOI: https://doi.org/10.1007/978-3-030-23560-4_37

  3. Abhishek Kannekanti, Sedeeq Al-khazraji, and Matt Huenerfauth. 2019. "Design and Evaluation of a User-Interface for Authoring Sentences of American Sign Language Animation." In: Antona M., Stephanidis C. (eds) Universal Access in Human-Computer Interaction. Theory, Methods and Tools. HCII 2019. Lecture Notes in Computer Science, vol 11572. pp. 258-267. Springer, Cham. DOI: https://doi.org/10.1007/978-3-030-23560-4_19  [peer-reviewed conference paper, published as book chapter] Conference Award: Best Paper Award, UAHCI 2019.

Other Works:

  1. Sushant Kafle, Abraham Glasser, Sedeeq Al-khazraji, Larwan Berke, Matthew Seita, Matt Huenerfauth. Artificial Intelligence Fairness in the Context of Accessibility Research on Intelligent Systems for People who are Deaf or Hard of Hearing. ACM ASSETS 2019 Workshop on AI Fairness for People with Disabilities, Pittsburgh, PA, USA. October 25, 2019.  arXiv:1908.10414 [cs.HC]  https://arxiv.org/abs/1908.10414 

  2. Oliver Alonzo, Abraham Glasser, Peter Yeung, Matt Huenerfauth. 2019. “Adapting Reading-Assistance and Automatic Text-Simplification Tools to Assist Self-Directed Learning by Deaf and Hard-of-Hearing Computing Workers. Poster Presentation, National Science Foundation CyberLearning 2019 Conference, Washington, DC, USA, October 3-4, 2019 .

  3. Abraham Glasser, Vaishnavi Mande, Matt Huenerfauth. 2019. Dataset of American Sign Language Personal-Assistant Interactions for Model Training. RIT Graduate Education Week Showcase, Poster Session, November 2019.

  4. Khaled L. Albusays, Matt Huenerfauth, Stephanie Ludi. 2019. Evaluating the Use of Audio-based Feedback to Convey the Hierarchical Nesting Structure of Code to Assist Non-Visual Users. RIT Graduate Education Week Showcase, Poster Session, November 2019.

  5. Oliver Alonzo, Matthew Seita, Abraham Glasser, Matt Huenerfauth. 2019. Adapting Automatic Text-Simplification Tools to Provide Reading Assistance for People who are Deaf or Hard of Hearing in Computing. RIT Graduate Education Week Showcase, Poster Session, November 2019.

  6. Paula Conn, Taylor Gotfrid, Qiwen Zhao, Rachel Celestine, Vaishnavi Mande, Kristen Shinohara, Stephanie Ludi, Matt Huenerfauth. 2019. Evaluating the Long-Term Impact of Accessibility Educational Interventions among Computing Undergraduates. RIT Graduate Education Week Showcase, Poster Session, November 2019.

  7. Sedeeq Al-khazraji, Matt Huenerfauth. 2019. Building Predictive Models for Modeling Speed and Timing of American Sign Language to Generate Realistic Animations. RIT Graduate Education Week Showcase, Poster Session, November 2019.

  8. Sushant Kafle, Becca Dingman, Peter Yeung, Matt Huenerfauth. 2019. Evaluating the Benefit of Highlighting Key Words in Captions for People who are Deaf or Hard-of-Hearing. RIT Graduate Education Week Showcase, Poster Session, November 2019.

Awards:

  1. Best Paper Award. (2019).  For “Sign Language Recognition, Generation, and Translation: An Interdisciplinary Perspective” at the 21st International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS’19).  Matt Huenerfauth is a five-time winner of the Best Paper Award at ASSETS, which is more than any other individual in the history of the conference.

  2. Special Recognition Award for Outstanding Review. (2019). The 34th ACM CHI Conference on Human Factors in Computing Systems (CHI-2019), Glasgow, Scotland.

  3. Best Paper Award. (2019). For “Design and Evaluation of a User-Interface for Authoring Sentences of American Sign Language Animation.” At the Universal Access in Human Computer Interaction conference.  

  4. PhD Advisor for Abraham Glasser, winner of Best Poster Award (2019), The ACM Symposium on Virtual Reality Software and Technology (VRST), Sydney, Australia.

  5. PhD advisor for Larwan Berke, winner of Microsoft Dissertation Grant, Microsoft Research. August 2019 to July 2020. Amount of funding: $24,900.

  6. PhD advisor for Larwan Berke, winner of Google Lime Scholarship, Lime Connect and Google. August 2019 to July 2020. Amount of funding: $10,000.

  7. PhD Advisor for Abraham Glasser, winner of honorable mention in the 2019 Graduate Research Fellowship (NSF-GRF) competition, National Science Foundation.

  8. PhD advisor for Abraham Glasser, winner of First Place, Student Research Competition, ACM CHI'19. Abraham Glasser. 2019. Automatic Speech Recognition Services: Deaf and Hard-of-Hearing Usability. In Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems (CHI EA '19). ACM, New York, NY, USA, Paper SRC06, 6 pages. 

Grants:

  1. Matt Huenerfauth (PI). September 2019 to August 2022. “Dataset of American Sign Language Personal-Assistant Interactions for Model Training.” Microsoft Artificial Intelligence for Accessibility (AI4A) grant program.  Award total: $241,104.

  2. Matt Huenerfauth (PI). April 2019 to March 2020. “Predicting the Importance of Words in Spoken Messages.” Microsoft Artificial Intelligence for Accessibility (AI4A) grant program.  Award total: $15,000.

  3. Thomas Pederson (key personnel), Jose Font (key personnel), Cecilia Alm (key personnel), Pengcheng Shi (key personnel), Alberto Alvarez (participant), Johan Salo (participant), Reynold Bailey (participant), Joe Geigel (participant), Matt Huenerfauth (participant), Kristen Shinohara (participant), Jeff Pelz (participant), Sebastian Hastrup (participant).  January 2020 to December 2020. "Boosting HCI - Growing end user digitalisation research at Malmö University by prototyping and piloting a framework for graduate student lab visits at RIT." Swedish Foundation for International Cooperation in Research and Higher Education, STINT Initiation Grant. Award total: 149,999 Euro.

  4. Joseph Bochner (PI), Vince Samar (co-PI), Matt Huenerfauth (Mentor). September 2019 to September 2021. “Categorical Perception in American Sign Language: A Preliminary Investigation.” Scholarship Portfolio Development Initiative (SPDI), National Technical Institute for the Deaf, Rochester Institute of Technology.  Amount: $13,800.

  5. Cecilia Alm (PI), Reynold Bailey (co-PI), Matt Huenerfauth (Senior Personnel), Ray Ptucha (Senior Personnel). April 2019 to March 2022. “REU Site: Computational Sensing for Human-centered AI.” National Science Foundation, CISE Directorate, Division of Computer and Network Systems. Award total: $359,927.

  6. Matt Huenerfauth (PI). October 2018 to September 2023. “Twenty-First Century Captioning Technology, Metrics and Usability.” Department of Health and Human Services - Administration for Community Living - National Institute on Disability, Independent Living, and Rehabilitation Research (NIDILRR) - Disability and Rehabilitation Research Projects (DRRP) program. Sub-award to RIT: $599,881.

  7. Matt Huenerfauth (PI), Lisa Elliot (co-PI). August 2018 to July 2021. “Collaborative Research: Automatic Text- Simplification and Reading-Assistance to Support Self-Directed Learning by Deaf and Hard-of-Hearing Computing Workers.” National Science Foundation, Cyberlearning for Work at the Human-Technology Frontier Program. Award total: $391,868.

  8. Matt Huenerfauth (PI). July 2018 to June 2021. “CHS: Medium: Collaborative Research: Scalable Integration of Data-driven and Model-based Methods for Large Vocabulary Sign Recognition and Search.” National Science Foundation, CISE Directorate, IIS Division, Cyber-Human Systems (CHS) Program. Award total: $209,096.

  9. Matthew Seita (student fellowship recipient), Matt Huenerfauth (faculty advisor). September 2018 to August 2023. National Science Foundation Graduate Research Fellowship (NSF-GRF) to Matthew Seita. Amount of funding: Tuition and stipend for three years, approximate value: $138,000.

  10. Matthew Dye (PI), Matt Huenerfauth (co-PI), Corrine Occhino (co-PI), Andreas Savakis (co-PI). July 2018 to June 2021. “Collaborative Research: Multimethod Investigation of Articulatory and Perceptual Constraints on Natural Language Evolution” National Science Foundation. Co-PI share: $49,262. Award total: $343,975.

Professional Leadership Roles:

  1. Vice-Chair, Special Interest Group on Accessible Computing (SIGACCESS), Association for Computing Machinery (ACM), July 2015 to Present.  (Elected by researchers internationally in the field of computing accessibility for a three-year term in 2015; re-elected for an additional three-year term in 2018.)
  2. Associate Editor, the ACM Transactions on Accessible Computing (TACCESS) journal, Association for Computing Machinery, 2011 to August 2013, August 2019 to Present.
  3. Deputy Program Chair, The 21st International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS 2019), Pittsburgh, PA, USA.  (The deputy program chair oversees the review process and technical paper selection for any papers submitted by the general or program chairs of the conference.)

Invited Speaker and Panels (2019):

  1. “Human-Centered AI to Benefit People who are Deaf and Hard of Hearing.” June 2019. Invited Speaker, Research Experiences for Undergraduates Site in Computational Sensing for Human-Centered AI, Rochester Institute of Technology, Rochester, NY, USA.
  2. “Creating Useful Applications with Imperfect Sign Language Recognition Technologies.” May 2019. Invited Speaker, Automatic Recognition and Analysis of American Sign Language Workshop, Center for Gesture Sign and Language, The University of Chicago, Chicago, IL, USA.
  3. “Panel: Privacy, Ethics & People with Disabilities in the Age of AI.” March 2019. Invited Speaker and Panelist, CSUN Assistive Technology Conference, Anaheim, CA, USA.
  4. “Learning from Human Movements to Create Accurate Sign Language Animations.” February 2019. Invited Speaker, Microsoft AI for Accessibility Sign Language Recognition & Translation Workshop, Microsoft Research, Redmond, WA, USA.

Media Coverage (2019):

  1. Featured in RIT News and Events Daily, in the October 18, 2019, issue, in regard a scientific paper being accepted for presentation at the Theoretical issues in Sign Language Research conference in Hamburg, Germany, https://www.rit.edu/ritnews/nandedaily.php?date=10%2F18%2F2019 
  2. Featured on the Microsoft Artificial Intelligence for Accessibility (AI4A) website as of August 12, 2019, on the “Featured AI for Accessibility projects” page with an item “CAIR helps understand words in spoken messages,” https://www.microsoft.com/en-us/ai/ai-for-accessibility-projects
  3. Featured in RIT University News, in the May 15, 2019, article entitled “RIT research helps artificial intelligence be more accurate, fair and inclusive,” https://www.rit.edu/news/rit-research-helps-artificial-intelligence-be-…
  4. Featured in NTID Parent News, in the May 2, 2019, issue, in an article entitled “RIT/NTID provides groundwork for grads moving on to doctoral degree programs,” https://www.rit.edu/ntid/parentnews/2019/05/02/rit-ntid-provides-ground…
    Article featured in RIT News and Events Daily, in the May 7, 2019 issue.
  5. Featured in NTID Alumni News, in the March 13, 2019, issue in an article entitled “RIT/NTID team examines Nicaraguan sign language to determine whether languages change so they are easier to produce or to understand,” https://www.rit.edu/ntid/alumninews/index.php/2019/03/rit-ntid-team-exa…
    Article featured in RIT News and Events Daily, in the March 22, 2019 issue.
  6. Featured in RIT University News, in the November 20, 2018, issue, in an article entitled “Improving ASL Communication,” https://www.rit.edu/news/improving-asl-communication
    Article featured in RIT News and Events Daily, in the February 25, 2019 issue.
  7. Featured in RIT Golisano College of Computing and Information Sciences news, in a November 27, 2018 story entitled “RIT researcher awarded Best Paper for a record fourth time at premier computing accessibility conference,” https://www.rit.edu/gccis/news/ rit-researcher-awarded-best-paper-record-fourth-time-premier-computing-accessibility-conference
    Article featured in RIT News and Events Daily, in the January 17, 2019 issue

 

 

 

 

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Yu Kong

2019 Publications:

  1. Yi Tian, Yu Kong, Qiuqi Ruan, Gaoyun An, Yun Fu. Aligned Dynamic-Preserving Embedding for Zero-Shot Action Recognition. IEEE Trans. Circuits and Systems for Video Technology (T-CSVT), 2019. 
  2. Chengcheng Jia, Zhengming Ding, Yu Kong, Yun Fu. Semi-Supervised Cross- Modality Action Recognition by Latent Tensor Transfer Learning. IEEE Trans. Circuits and Systems for Video Technology (T-CSVT), 2019. 

  3. Yu Kong, Zhiqiang Tao, Yun Fu. Adversarial Action Prediction Networks. IEEE Trans. Pattern Analysis and Machine Intelligence (T-PAMI), 2019

Grants:

  1. Boot Camp RIT 2019. Vision-based Few-Shot Prediction via Adversarial Similarity Networks ($5,000). 
  2. Served as a Co-PI in a project awarded by Office of Naval Research to study complex decision-making process with PI Qi Yu and Co-PI Daniel Krutz. (ONR, $1.58M)

 


 

Daniel E. Krutz

Publications:

  1.  Shi , Weishi ; Malachowsky , Samuel ; El-Glaly , Yasmine ; Yu , Qi ; Krutz , Daniel: Presenting and Evaluating the Impact of Experiential Learning in Computing Accessibility Education. In: Proceedings of the 42nd International Conference on Software Engineering , 2020 (ICSE)
  2. Elsaid , Abdelrahman ; Karns , Joshua ; Lyu , Zimeng ; Krutz , Daniel ; Desell , Travis: Neuro-Evolutionary Transfer Learning through Structural Adaptation. In: 23rd European Conference on the Applications of Evolutionary and bio-inspired Computation , 2020 (EvoAPPs 2020)

  3. Palmerino- , J. ; Yu , Q. ; Desell , T. ; Krutz , D.: Improving the Decision-Making Process of Self-Adaptive Systems by Accounting for Tactic Volatility. In: 2019 34th IEEE/ACM International Conference on Automated Software Engineering (ASE) , 2019. { ISSN 1938{4300, S. 949{961}

Grants:

  1. Daniel Krutz (PI) and Robert Jacques (co-PI), “RIT GenCyber Camp 2019: Beginner,” National Security Agency (NSA), $59,124, May 2019 to May 2020.
  2. Daniel Krutz, “GenCyber Women's Beginner Camp at RIT,” National Security Agency (NSA), $45,809, May 2019 to May 2020.

 


 

Minseok Kwon

Refereed Conference Papers:

  1. G. Park, M. Kwon, R. Tamilselvan, and S. Lee, Two-Way Trees: A Distributed Algorithm for Efficient Replica Search and Placement, SIAM-ACM APoCS 2020.
  2. G. Grigoryan, Y. Liu, and M. Kwon, iLoad: In-network Load Balancing with Programmable Data Plane, ACM CoNEXT Student Workshop 2019.
  3. C. Skalka, J. Ring, D. Darais, M. Kwon, S. Gupta, K. Diller, S. Smolka, and N. Foster, Proof-Carrying Network Code, ACM CCS, 2019.
  4. C. Link, J. Saran, G. Grigoryan, M. Kwon, and M. M. Rafique, Container Orchestration by Kubernetes for RDMA Networking, IEEE ICNP Poster, 2019.
  5. S. A. Mamun, A. Ganguly, M. Kwon, A. Kwasinski, and P. P. Markopoulos, Network-Aware Server Consolidation for Wireless Data Centers, IEEE International Conference on the Network of the Future (NoF), 2019.
  6. M. Kwon, V. Shankar, S. Pontarelli and P. Reviriego, A Fingerprint-based Bloom Filter with Deletion Capabilities, IEEE EuCNC, June 2019.
  7. S. Gupta, H. B. Acharya, and M. KwonOn Securing Healthcare with Software-Defined Networks, IEEE IoT4Health (in conjunction with IEEE INFOCOM), Apr. 2019.
  8. K. McGlynn, H. B. Acharya, and M. Kwon, Detecting BGP Route Anomalies with Deep Learning, IEEE INFOCOM Poster 2019.

News:

  1. Minseok Kwon and students from RIT coauthored a CCS paper on Secure Network Coding
    Minseok Kwon, Professor of Computer Science and Sahil Gupta, PhD student at the Center, were a co-authors of the new paper “Proof Carrying Network Code,” which appeared at the 2019 ACM Conference on Computer and Communications Security (CCS). This paper develops programming logics and framework to specify and enforce security policies in federated network settings, focusing on authorization and network behavioral policies, including firewalls. The developed Proof Carrying Network Code (PCNC) framework allows software-defined network programming by multiple, possibly non-local administrative domains, in a secure manner. PCNC provides features for checking authorization of administrative domains for network programming, and allows programs themselves to be verified with respect to behavioral policy specifications. The paper was written together with former RIT student Kyle Diller, and collaborators from Cornell University and the University of Vermont. 
     (News release date: November 11, 2019)
     

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Rui Li

Grants:

  1. PI, "CRII: III: A Scalable  Probalistic Model Selection Method for Deep Learning in Gene-Protein Network Inference and Integration", NSF 1850492, $171,992, September 01, 2019 to August 31, 2021
  2. PI, "GWBC19: A Principled Model Selection Methods for Deep Learning in Protein Function Analysis'', RIT 19081998  $5,000, May 01, 2019 to April 30, 2020. 

  3. Co-PI, "CHS: Small: Utilizing Synergy between Human and Computer Information Processing for Complex Visual Information Organization and Use'', NSF 1814450, $497,424, July 15, 2018 to August 31, 2021.      

Peer-reviewed conference proceedings:

  1. Rui Li. Multivariate Sparse Coding of Nonstationary Covariance with Gaussian Processes. In: Proceedings of The 33rd Conference on Neural Information Processing Systems (NIPS2019).

 

Journal articles:

  1. Ricardo R. Figueroa and Rui Li. Bayesian Methods for Radiometric Calibration in Motion Picture Encoding Workflows. In: SMPTE Motion Imaging Journal, 128(7): 25-30, August 2019.
  2. Kishan KC, Rui Li, Feng Cui, Qi Yu and Anne R. Haake. GNE: A Deep Learning Framework for Gene Network Inference by Aggregating Biological Information. In: BMC System Biology, 13(2): 38-54, April 2019.

 

Marcin Lukowiak

Conference Papers:

  1. K. Millar, M. Lukowiak, and S. Radziszowski, Design of a Flexible Schonhage-Strassen FFT Polynomial Multiplier with High-Level Synthesis to Accelerate HE in the Cloud, in Proceedings of ReConFig'2019, Cancun, Mexico, December 2019.
  2. C. Tinker, K. Millar, A. Kaminsky, M. Kurdziel, M. Lukowiak, and S. Radziszowski, Exploring the Application of Homomoprhic Encryption to a Cross Domain Solution, to appear in Proceedings of MILCOM'2019, Norfolk, VA, November 2019.
  3. M. Foster, M. Lukowiak, and S. Radziszowski, Flexible HLS-Based Implementation of the Karatsuba Multiplier Targeting Homomorphic Encryption Schemes, in Proceedings of the 26-th International Conference Mixed Design of Integrated Circuits and Systems - MIXDES'2019, Rzeszow, Poland, June 2019.

 

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Andy Meneely

Grants:

  1. Andy Meneely, “Analyzing Human Dimensions of Software Development: Phase II,” DARPA/Applied Visions, $130,662, May 2019 to May 2020.

 


 

Mehdi Mirakhorli

News:

  1. Mehdi Mirakhorli was awarded an NSF-National Science Foundation CAREER grant. His proposal, entitled "Synthesizing Architectural Tactics" supports research with the goal "to create, deploy and validate new technologies that could make software design more intuitive, in particular for the new learners and novice programmers". Total amount:  $403,725.00. Effective 03/01/2020 to 02/28/2020. 
  2. A research paper by a team four RIT female students (Joanna C. S. Santos, Adriana Sejfia, Taylor Corrello, and Smruthi Gadenkanahalli) and Dr. Mirakhorli has been accepted at ESEC/FSE 2019, the 2019 27th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering.
    The paper (Achilles’ heel of plug-and-Play software architectures: a grounded theory based approach) presents new vulnerability types in plug-and-play software architectures.
    Read more: https://www.researchgate.net/publication/334130422_Achilles'_Heel_of_Pl…
  3. Ph.D. student, Danielle Gonzalez is presenting a new paper on use of Machine Learning to characterize software vulnerabilities.
    The paper “Danielle Gonzalez, Holly Hastings, Mehdi Mirakhorli, Automated Characterization of Software Vulnerabilities” has been accepted at the International Conference on Software Maintenance and Evolution (ICSME) 2019.
     

2019 Publications:

  1. Joanna Cecilia Da Silva Santos; Adriana Sejfia; Taylor Corrello; Smruthi Gadenkanahalli; Mehdi MirakhorliAchilles’ Heel of Plug-and-Play Software Architectures: A Grounded Theory Based Approach, The ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE 2019).
  2. Danielle Gonzalez, Fawaz Alhenaki and Mehdi MirakhorliArchitectural Security Weaknesses in Industrial Control Systems (ICS): An Empirical Study based on Disclosed Software Vulnerabilities, IEEE International Conference on Software Architecture (ICSA) 2019.
  3. JCS Santos, K Tarrit, A Sejfia, M Mirakhorli, M Galster, An empirical study of tactical vulnerabilities, Journal of Systems and Software 149, 263-284, 2019

Grants:

  1. Mehdi Mirakhorli (PI), CAREER Award, “Synthesizing Architectural Tactics”,  National Science Foundation (NSF), Faculty Early Career Development (CAREER), $403,725, February 2020 to February 2025.
  2. Mehdi Mirakhorli (PI), “National Vulnerability Intelligence Platform (NVIP),” U.S. Department of Homeland Security (DHS) , $440,294. September 2019 to December 2021.
  3. “REU Site: Cultivating Next Generation Software Engineering Researchers”,  National Science Foundation (NSF), $403,725, February 2020, June 2018 to August 2020.
  4. Mehdi Mirakhorli (PI), “An Architecture-Based Approach to Cyber Resiliency,” Defense Advanced Research Projects Agency’s (DARPA), $619,034. February 2019 to February 2022.
  5. Mehdi Mirakhorli (PI), “Cruise: Cyber Vulnerability Assessments of System Requirements Specifications (SyRS),” DOD. Dept of the Air Force, $700,000. September 2019 to September 2021.
  6. Mehdi Mirakhorli (PI), “CRI: CI-NEW: Collaborative Research: Constructing a Community-Wide Software Architecture Infrastructure,” NSF CNS, $374,238.00. Sep. 2018 to Aug. 2021.
  7. Mehdi Mirakhorli (PI), “Characterizing Architectural Vulnerbilities,” NSF, $439,135.00. Oct. 2018 to Oct. 2021.

 


 

Mohamed Wiem Mkaouer

2019 Publications:

Journal Papers:

  1. Alrubaye, Hussein, and Mohamed Wiem. "Variability in library evolution." Software Engineering for Variability Intensive Systems: Foundations and Applications (2019): 295.
  2. Soui, Makram, Mabrouka Chouchane, Mohamed Wiem Mkaouer, Marouane Kessentini, and Khaled Ghedira. "Assessing the quality of mobile graphical user interfaces using multi-objective optimization." Soft Computing (2019): 1-30.

Conference Papers:

  1. Alshoaibi, Deema, Kevin Hannigan, Hiten Gupta, and Mohamed Wiem Mkaouer. "PRICE: Detection of Performance Regression Introducing Code Changes Using Static and Dynamic Metrics." In International Symposium on Search Based Software Engineering, pp. 75-88. Springer, Cham, 2019.
  2. Messaoud, Montassar Ben, Ilyes Jenhani, Nermine Ben Jemaa, and Mohamed Wiem Mkaouer. "A Multi-label Active Learning Approach for Mobile App User Review Classification." In International Conference on Knowledge Science, Engineering and Management, pp. 805-816. Springer, Cham, 2019

  3. Alrubaye, Hussein, Mohamed Wiem Mkaouer, and Ali Ouni. "On the use of information retrieval to automate the detection of third-party Java library migration at the method level." In Proceedings of the 27th International Conference on Program Comprehension, pp. 347-357. IEEE Press, 2019.

  4. Safdari, Nasir, Hussein Alrubaye, Wajdi Aljedaani, Bladimir Baez Baez, Andrew DiStasi, and Mohamed Wiem Mkaouer. "Learning to rank faulty source files for dependent bug reports." In Big Data: Learning, Analytics, and Applications, vol. 10989, p. 109890B. International Society for Optics and Photonics, 2019.

  5. Gharbi, Sirine, Mohamed Wiem Mkaouer, Ilyes Jenhani, and Montassar Ben Messaoud. "On the classification of software change messages using multi-label active learning." In Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, pp. 1760-1767. ACM, 2019.

  6. Peruma, Anthony, Mohamed Wiem Mkaouer, Michael J. Decker, and Christian D. Newman. "Contextualizing Rename Decisions using Refactorings and Commit Messages." In Proceedings of the 19th IEEE International Working Conference on Source Code Analysis and Manipulation, IEEE. 2019.

  7. AlOmar, Eman Abdullah, Mohamed Wiem Mkaouer, and Ali Ouni. "Can refactoring be self-affirmed? an exploratory study on how developers document their refactoring activities in commit messages." In Proceedings of the 3rd International Workshop on Refactoring-accepted. IEEE. 2019.

Awards:

Eman Abdullah Alomar, Ph.D. student of Mohamed Wiem Mkaouer, Assistant Professor of Software Engineering, has been the recipient of the Distinguished Paper Award, and Best Presentation Award, for their paper entitled “Can Refactoring Be Self-Affirmed? An Exploratory Study on How Developers Document Their Refactoring Activities in Commit Messages” at The 3rd International Workshop on Refactoring (IWoR), collocated with the 2019 International Conference on Software Engineering (ICSE).

 

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Justin Pelletier

Awards:
Neil Hair, executive director of the Innovative Learning Institute; Justin Pelletier, lecturer in the Department of Computing Security; and James Santa, adjunct faculty, won the Best Paper Award, Marketing of Higher Education Track, at the Academy of Marketing Conference 2019, held July 2-4 at Regents University in London, for their paper, “Modelling e-learner Satisfaction: The Role of Online Customer Experience.”

 


 

Chao Peng

2019  Publications:

  1. Lizhou Cao, Chao Peng, and Jeff Hansberger, "Usability and Engagement Study for A Serious Virtual Reality Game of Lunar Exploration Missions", Journal of Informatics (A Special Issue: Gamification and Advanced Technology to Enhance Motivation in Education), Vol. 6, Issue 4, Article 44, 16 pages, 2019. (doipdf)
  2. Nick Diliberti, Chao Peng, Christopher Kaufman, Yangzi Dong, and Jeff Hansberger, "Real-Time Gesture Recognition Using 3D Sensory Data and a Light Convolutional Neural Network", The 27th ACM International Conference on Multimedia (ACM Multimedia), Nice, France, 2019. (Accepted)
  3. Lizhou Cao, Chao Peng, and Jeffrey Hansberger, "A Large Curved Display System in Virtual Reality for Immersive Data Interaction", IEEE Games, Entertainment, Media Conference (GEM), pp. 1-4, New Haven, Connecticut, 2019. (doi)
  4. Jeffrey Hansberger, Chao Peng, Victoria Blakely, Sarah Meacham, Lizhou Cao, and Nicholas Diliberti, "A Multimodal Interface for Virtual Information Environments", The 21st International Conference on Human-Computer Interaction, pp. 59-70, Springer, Orlando, Florida, 2019. (doi)
  5. Yangzi Dong and Chao Peng, "Screen Partitioning Load Balancing for Parallel Rendering on a Multi-GPU Multi-Display Workstation", EuroGraphics Symposium on Parallel Graphics and Visualization (EGPGV 2019), The Eurographics Association, Porto, Portugal, 2019. (doi) (Honorable Mention)
  6. Yangzi Dong and Chao Peng, "Real-Time Large Crowd Rendering with Efficient Character and Instance Management on GPU", International Journal of Computer Games Technology, Vol. 2019, Article ID 1792304, 15 pages, Hindawi, March 2019. (doi)
  7. Iksha Gurung, Chao Peng, Manil Maskey, and Rahul Ramachandran, "Deep Feature Extraction and Its Application for Hailstorm Detection in a Large Collection of Radar Images", Journal of Signal, Image and Video Processing, Vol. 13, Issue 3, pp. 541-549, Springer, April 2019. (doi)

Grants:

  1. A Multimodal System for Data Visualization, U.S. Department of Defense (DoD), Chao Peng (PI), $80,000, 2019-2020.

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Muhammad Mustafa Rafique

  1. Jingoo Han, Luna Xu, M. Mustafa Rafique, Ali R. Butt, and Seung-Hwan Lim. A Quantitative Study of Deep Learning Training on Heterogeneous Supercomputers. In proceedings of the IEEE Cluster Conference (Cluster), 2019.

 


 

Hanif Rahbari

2019-2020 Publications:

  1. Zhengguang Zhang, Hanif Rahbari, and Marwan Krunz, "Expanding the Role of Preambles to Support User-defined Functionality in MIMO-based WLANs," 39th Annual IEEE International Conference on Computer Communications (INFOCOM 2020), Beijing, China, April 2020 (acceptance rate: 268/1354=19.8%)
  2. Peyman siyari, Hanif Rahbari, and Marwan Krunz, "Lightweight Machine Learning for Efficient Frequency-Offset-Aware Demodulation," IEEE Journal on Selected Areas in Communications (JSAC)-Machine Learning in Wireless Communications, vol. 37, no. 11, October 2019. [link | pdf]

News:

  1. Hanif Rahbari coauthored an INFOCOM paper on the role of preambles to support new functions in Wi-Fi
    GCI member Hanif Rahbari, Assistant Professor of Computing Security, is a coauthor of a new paper in the 2020 IEEE International Conference on Computer Communications (INFOCOM). Along with the development of Wi-Fi’s sixth generation (Wi-Fi 6), this paper studies the need to support security and coordination functions at the Physical (PHY) layer and proposes turning the frame preamble of MIMO-based 802.11ac protocol into a 20-bit user-defined data field while maintaining its primary functions. The proposed scheme enables several promising PHY-layer services, such as PHY-layer encryption and channel/device authentication, PHYlayer signaling, etc. 
    Zhengguang Zhang, Hanif Rahbari, and Marwan Krunz, "Expanding the Role of Preambles to Support User-defined Functionality in MIMO-based WLANs," 39th Annual IEEE International Conference on Computer Communications (INFOCOM), Toronto, Canada, July 2020
     (News release date: February 1, 2020)
  2. Hanif Rahbari and his collaborators earned another US patent for secure wireless communications
    GCI member Hanif Rahbari, Assistant Professor of Computing Security, earned a US patent on systems and methods of friendly jamming for securing wireless communications at the physical layer.
    M. Krunz, B. Akgun, P. Siyari, Hanif Rahbari, R. Eletreby, and O. Koyluoglu "Systems and Methods for Securing Wireless Communications", U.S. Patent App. 16/012,620 (granted Oct. 8, 2019).
     (News release date: November 12, 2019)

Media Reflections:

RIT News: Imagine RIT Preview: How Phones and Laptops Can Be Tracked via Their Radio Waves (April 22, 2019)

Grants:

  1. Hanif Rahbari (PI), Ziming Zhao (co-PI), VSER - Vehicle Security Education and Research, Department of Defense (DoD), $149,931.00, Aug. 2019 - Nov. 2020.

 


 

Carlos R. Rivero Osuna

Grants:

  1. Carlos Rivero Osuna (PI), Zachary Butler (co-PI), and Hadi Hosseini (co-PI), “IUSE: EHR: Using Program Dependence Graphs to Propagate Feedback to Students on Programming Assignments and Promote Responsive Teaching,” National Science Foundation (NSF), $298,728, October 2019 to September 2022. More info: https://nsf.gov/awardsearch/showAward?AWD_ID=1915404

 

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Garreth Tigwell

2019 Publications:

  1. Accepted poster on “Weaving Accessibility Through an Undergraduate Degree” with colleagues from the University of Dundee for the ASSETS conference. 

Activities:

  1. Co-organizing a workshop titled “Addressing the Accessibility of Social Media” (https://accessiblesocial.media) for CSCW.

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Linwei Wang

News:

  1. Linwei Wang was elected as a new Member for the Board of Directors for the Medical Image Computing and Computer-Assisted Intervention (MICCAI) Society, effective 02/01/2020 for a term of four years.

Journal Articles:

  1. Prashnna Kumar Gyawali, B. Milan Horacek, John L Sapp, and Linwei WangSequential Facetorized Autoencoder for Localizing the Origin of Ventricular Activation from 12-Lead Electrograms, IEEE Transactions on Biomedical Engineering, accepted, 2019(url). 
  2. Sandesh Ghimire, Milan Horack, John L Sapp, and Linwei WangNoninvasive Reconstruction of Transmural Transmembrane Potential with Simultaneous Estimation of Prior Model Error, IEEE Transactions on Medical Imaging, accepted, 2019(url).
  3. Mohammed Alawad and Linwei WangLearning Domain Shift in Simulated and Clinical Data: Localizing the Origin of Ventricular Activation from 12-lead Electrocardiograms, IEEE Transactions on Medical Imaging, 38(5): 1172-1184, 2019 [ePub ahead of print]

Conference Papers:

  1. Linwei Wang, Ryan Missel, Prashnna K. Gywalia, Jaideep Vitthal Murkute, Zhiyuan Li, Shijie Zhou, Amire AbdelWahab, Jason Davis, James Warren, and John L Sapp,   A Machine Learning Approach For Computer-guided Localization Of The Origin Of Ventricular Tachycardia Using 12-lead Electrocardiograms, Heart Rhythm Society, accepted, 2020 (abstract submission, this was selected to participate in the  EP Concepts Ignited: Innovative Techniques and Technologies special poster session, this special poster session was created to highlight the top 26 high-scoring abstract that represent the most novel and innovative abstracts of 2020.
  2. Zhiyuan Li, Jaideep V. Murkute, Prashnna K. Gyawali, and Linwei Wang, Progressive Learning and Disentanglement of Hierarchical Representations, International Conference on Learning Representations, 2020 (oral spotlight, 6% selection rate)  
  3. Prashnna K Gyawali, Zhiyuan Li, Cameron Knight, Sandesh Ghimire, John Sapp, and Linwei Wang, Improving Disentangled Representation Learning with the Beta Bernoulli Process, International Conference on Data Mining (ICDM), Beijing, China, 2019, accepted (18.5% acceptance rate) (url)
  4. Prashnna K Gyawali, *Zhiyuan Li, Sandesh Ghimire, and Linwei Wang, Semi-Supervised Learning by Disentangling and Self-Ensembling Over Stochastic Latent Space, Medical Image Computing and Computer-Assisted Intervention (MICCAI), Shenzhen, China, 2019, accepted (*equal contribution, 31% acceptance rate) (url)
  5. Jwala Dhamala, Sandesh Ghimire, John L. Sapp, B. Milan Horacek, and Linwei Wang, Bayesian Optimizatin on Large Graphs via a Graph Convolutional Generative Model: Application in Cardiac Model Personalization, Medical Image Computing and Computer-Assisted Intervention (MICCAI), Shenzhen, China, 2019, accepted (early acceptance, 15% selection rate)  (url)
  6. Sandesh Ghimire, Jwala Dhamala, Prashnna Gyawali, John L. Sapp, B. Milan Horacek, and Linwei Wang, Improving Generalization of Deep Networks for Inverse Reconstruction of Image Sequences, Information Processing in Medical Imaging (IPMI), Hong Kong, 2019, accepted (oral presentation) (url)

Grants:

  1. 02/2019-01/2024   National Institutes of Health (NIH) R01 Grant, $3,154,132
    Peri-procedural Transmural Electrophysiological Imaging of Scar-related Ventricular Tachycardia
    Sponsor: NIH/NHLBI
    Role: PI (Co-Investigators: S. Nazarian, University of Pennsylvania; JL Sapp, Dalhousie University; K. Ankur, Siemens Research Cooperation)

Awards:

  1. Presidential Early Career Award for Scientists and Engineers (PECASE): https://www.rit.edu/news/professor-honored-presidential-early-career-award-scientists-and-engineers https://www.whitehouse.gov/briefings-statements/president-donald-j-trump-announces-recipients-presidential-early-career-award-scientists-engineers/

 


 

Matthew Wright

2019 Publications:

  1. Mohsen Imani, Mehrdad Amirabadi, and Matthew Wright, “Modified Relay Selection and Circuit Selection for Faster Tor,” (under review).
  2. Mahdi Nasrullah Al-Ameen, Sonali T. Marne, Kanis Fatema, Shannon Scielzo, and Matthew Wright, “On Improving the Memorability of System-Assigned Cognometric Graphical Passwords,” (under review).

News:

  1. A Team from RIT coauthored a new CCS paper on Portable Website Fingerprinting
    Led by RIT PhD Alumnus Payap Sirinam, a team including PhD students Nate Mathews and Mohammad Saidur Rahman, plus GCI Director of Research Matthew Wright, coauthored a the new paper “Triplet Fingerprinting: More Practical and Portable Website Fingerprinting with N-shot Learning,” which appeard at the 2019 ACM Conference on Computer and Communications Security (CCS). This paper explores an attack on the Tor anonymity system called website fingerprinting, which usually requires huge amounts of data to be downloaded and regularly refreshed to attain high levels of accuracy. The authors demonstrated the effectiveness of a new attack using a machine-learning technique called “triplet-loss learning,” which enables an attacker to perform effective website fingerprinting attacks with much less data—as few as five website downloads for each site the attacker is interested in monitoring. Given that the attack could be conducted with minimal resources by someone sniffing the victim’s wireless internet connection, it highlights the need for designing effective defenses to help keep Tor users safe. 
     (News release date: November 11, 2019)
  2. Matthew Wright gave a keynote speech at SecureComm 2019
    GCI Director of Research Matthew Wright, gave a keynote speech at SecureComm 2019 on Oct. 23 in Orlando, Florida. His talk was titled, "Deep Fingerprinting and Triplet Fingerprinting: Undermining Website Fingerprinting Defenses with Deep Learning." 
     (News release date: November 1, 2019)

Grants:

  1. Matthew Wright received $100k grant from The Miami Foundation for Robust Deepfake Detection

Media Reflections:

  1. Listen to Matt’s interview with WXXI News: https://www.wxxinews.org/post/rit-develop-software-detect-deepfake-videos
  2. Watch Matt’s interview with WROC-TV: https://www.rochesterfirst.com/news/local-news/rit-develop-technology-to-stop-deep-fake-videos/1877339791

X

Y

Shanchieh Yang

2019 Publications:

  1. A. Okutan and S. J. Yang, “ASSERT: Attack Synthesis and Separation with Entropy Redistribution towards Predictive Cyber Defense”, Springer Journal on Cybersecurity, 2:15, May 2019.
  2. A. Okutan, F.-Y. Cheng, S.-H. Su, and S. J. Yang, “Dynamic Generation of Empirical Cyberattack Models with Engineered Alert Features,” to appear in Proceedings of IEEE MILCOM, 2019, USA.
  3. C. Sweet, S. Moskal, and S. J. Yang, “Synthetic Intrusion Alert Generation through Generative Adversarial Networks,” to appear in Proceedings of IEEE MILCOM, 2019, USA.
  4. A. Okutan, S. J. Yang, K. McConky, and G. Werner, “CAPTURE: Cyberattack Forecasting using Non-Stationary Features with Time Lags,” in Proceedings of IEEE Conference on Communications and Network Security (CNS), June 10-12, 2019, Washington, D.C. USA.
  5. C.-Y. Huang, C.-W. Lin, R.-G. Cheng, S. J. Yang, and S.-T. Sheu, “Experimental Evaluation of Jamming Threat in LoRaWAN,” in Proceedings of IEEE Vehicular Technology Conference, April 28 – May 1, 2019, Kuala Lumpur, Malaysia.
  6. C. Sweet, S. Moskal, and S. J. Yang, “On the Veracity of Cyber Intrusion Alerts Synthesized by Generative Adversarial Networks,” arXiv:1908.01219 [cs.LG].

2019 Grants:

  1. PI, Exploring Advantages where Physical and Cyber Intrusion Intersect by Leveraging AI and Data Analytics, Bosch Security Systems, $35,000, 9/1/2019-2/28/2020.
  2. PI, A Criminology-Based Simulation of Dynamic Adversarial Behavior in Cyberattacks, NSF SaTC-EAGER, collaborative research with Temple University, $149,611, 9/1/2017-8/31/2020.
  3. PI for RIT activity, Exploiting Leading Latent Indicators in Predictive Sensor Environments (ELLIPSE), IARPA CAUSE, as part of the Leidos team, $581,425, 7/26/2016-3/25/2019 (Phases 1 and 2).
  4. PI, Synthesizing Novel Attack Strategy for Predictive Cyber SA (with TTP option), NSF SaTC, $666,960, 10/1/2015-9/30/2019.

2019 Awards and Recognition:

  1. Prof. S. Jay Yang received Institute of Electrical and Electronics Engineers (IEEE) Outstanding Teaching in an IEEE Area of Interest Award for his outstanding leadership and contributions to cybersecurity and computer engineering education.  https://r1.ieee.org/2019/10/08/2019-ieee-region-1-major-awards-released/
  2. Prof. S. Jay Yang was named as one of the six 2019 Trusted CI Open Science Cybersecurity Fellows.  https://trustedci.org/fellows/2019.

2019 Activities:

  1. Prof. S. Jay Yang gave a lecture to Ph.D. students in 2019 International Summer School on Machine Learning and Security in The University of Padua, Italy (https://spritz.math.unipd.it/events/2019/PIU2019/PagesOutput/MLS/index.html).
  2. Prof. S. Jay Yang visited and presented in partner institution, Masaryk University in Brno, Czech Republic (https://csirt.muni.cz/ and https://www.fi.muni.cz/) in September 2019.
  3. Dr. Tijay Chung, S. Jay Yang and A. Okutan presented in 2019 Cybersecurity Transition to Practice (TTP) Workshop in June 2019 in Chicago, IL USA. (https://trustedci.org/2019-ttp-workshop)

 


 

Qi Yu

2019 Publications:

  1. E Lima, W Shi, X Liu, and Q. Yu Multi-Level Tag Recommendation for Question Answering, ACM Transactions on Internet Technology (TOIT), Volume 19 Issue 3, May 2019, Article No. 34.
  2. H Wang, Y Tao, Q. Yu, H Tianjing, C Xin, W Qin, Personalized service selection using Conditional Preference Networks, Knowledge-Based Systems, 164, 292-308 2019.
  3. H Wang, S Peng, Q. Yu, A parallel refined probabilistic approach for QoS-aware service composition, Journal of Systems and Software, 151, 180-193, 2019.
  4. H. Wang, H. Fei, Q. Yu, W Zhao, J Yan, T Hong, A motifs-based Maximum Entropy Markov Model for realtime reliability prediction in System of Systems, Future Generation Computer Systems, 98, 609-626, 2019.
  5. W. Shi and Q. Yu, Integrating Generative and Discriminative Sparse Kernel Machines for Multi-class Active Learning, Thirty-third Conference on Neural Information Processing Systems (NeurIPS), Accepted, 2019.
  6. W. Shi and Q. Yu, Fast Direct Search in an Optimally Compressed Continuous Target Space for Efficient Multi-Label Active Learning, Thirty-sixth International Conference on Machine Learning (ICML), 2019: 5769-5778.
  7. M. Alshangiti, H. Sapkota, P. Murukannaiah, X. Liu, and Q. Yu, Why is Developing Machine Learning Applications Challenging? A Study on Stack Overflow Posts, ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM), 2019, Accepted.

Grants:

  1. A Multimodal Dynamic Bayesian Learning Framework For Complex Decision-Making” As The PI, ~$1.6M, October 2018- September 2022.
  2. Qi Has Been Awarded An NSF CHS Award: “Utilizing Synergy Between Human And Computer Information Processing For Complex Visual Information Organization And Use “, As The PI, $497,424.00, July 2018- June 2021.

Z

Richard Zanibbi

Conference Papers:

  1. Zhong, W., Rohatgi, S., Wu, J., Giles, C.L., and Zanibbi, R. (2020) Accelerating Substructure Similarity Search for Formula Retrieval. Proc. European Conference on Information Retrieval, to appear. 
  2. Nishizawa, G., Liu, J., Diaz, Y., Dmello, A., Zhong, W. and Zanibbi, R. (2020) MathSeer: A Math-Aware Search Interface with Intuitive Formula Editing, Reuse, and Lookup. Proc. European Conference on Information Retrieval, to appear. 
  3. Mansouri, B., Agarwal, A., Oard, D., and Zanibbi, R. (2020) Finding Old Answers to New Math Questions: The ARQMath Lab at CLEF 2020. Proc. European Conference on Information Retrieval, to appear. 
  4. Mansouri, B., Rohtagi, S., Oard, D., Wu, J., Giles, C.L., and Zanibbi, R. (2019) Tangent-CFT: An Embedding model for Mathematical Formulas. Proc. International Conference on the Theory of Information Retrieval (ICTIR). Santa Clara, California, USA (to appear).
  5. Mahdavi, M., Condon, M., Davila, K., and Zanibbi, R. (2019) LPGA: Line-of-Sight Parsing with Graph-Based Attention for Math Formula Recognition Proc. Int'l Conf. Document Analysis and Recognition, Sydney, Australia (to appear).
  6. M. Mahdavi, R. Zanibbi, H. Mouchere, and Utpal Garain (2019). ICDAR 2019 CROHME + TFD: Competition on Recognition of Handwritten Mathematical Expressions and Typeset Formula Detection. Proc. International Conference on Document Analysis and Recognition, Sydney, Australia (to appear).
  7. Mahdavi, M. and Zanibbi, R. (2019) Tree-Based Structure Recognition Evaluation for Math Expressions: Techniques and Case Study. IAPR Graphics Recognition Workshop (GREC, held at ICDAR 2019), Sydney, Australia (abstract, 2pp., to appear).
  8. Choi, K.-Y., Couasnon, B., Ricquebourg, Y., and Zanibbi, R. (2019) CNN-Based Accidental Detection in Dense Printed Piano Scores. Proc. Int'l Conf. Document Analysis and Recognition, Sydney, Australia (to appear).
  9. Mansouri, B., Oard, D., and Zanibbi, R. (2019) Characterizing Searches for Mathematical Concepts. Proc. ACM Joint Conference on Digital Libraries (JCDL), Urbana-Champaign, Illinois. (Nominated for a Best Paper Award, invited for Journal Submission)
  10. Zhong, W., and Zanibbi, R. (2019) Structural Similarity Search for Formulas using Leaf-Root Paths in Operator SubtreesProc. European Conference on Information Retrieval (ECIR), Cologne, Germany (to appear) (Best Applications Paper Award)
  11. Davila, K., and Zanibbi, R., (2019) Tangent-V: Math Formula Image Search Using Line-of-Sight GraphsProc. European Conference on Information Retrieval (ECIR), Cologne, Germany (to appear).

Award:

  1. ECIR 2019 Best Applications Paper. My PhD student Wei Zhong received the Best Applications Paper award at ECIR 2019. His paper's title is Structural Similarity Search for Formulas using Leaf-Root Paths in Operator Subtrees.
  2. JCDL 2019 Paper. My PhD student Behrooz Mansouri had a full paper on log analysis for math searches in a general-purpose search engine paper accepted to JCDL 2019, which will was held at the University of Illinois Urbana-Champaign in June. Nominated for a Best Paper award.

 


 

Ziming Zhao

2019-2020 Publications:

  1. DANdroid: A Multi-View Discriminative Adversarial Network for Obfuscated Android Malware Detection
    Stuart Millar, Niall McLaughlin, Jesus Martinez del Rincon, Paul Miller, Ziming Zhao
    ACM Conference on Data and Application Security and Privacy (CODASPY), 2020
  2. Matched and Mismatched SOCs: A Qualitative Study on Security Operations Center Issues
    Faris Bugra Kokulu, Ananta Soneji, Tiffany Bao, Yan Shoshitaishvili, Ziming Zhao, Adam Doupé, and Gail-Joon Ahn
    ACM Conference on Computer and Communications Security (CCS), 2019
  3. Users Really Do Answer Telephone Scams
    Huahong Tu, Adam Doupé, Ziming Zhao, and Gail-Joon Ahn
    USENIX Security Symposium (SECURITY), 2019 (Distinguished Paper Award)
  4. Towards a Reliable Firewall for Software-Defined Networks
    Hongxin Hu, Wonkyu Han, Sukwha Kyung, Gail-Joon Ahn, Ziming Zhao, Hongda Li, and Juan Wang
    Computers & Security (COSE), 2019
  5. Effectively Enforcing Authorization Constraints for Emerging Space-Sensitive Technologies
    Carlos Rubio Medrano, Shaishavkumar Jogani, Maria Leitner, Ziming Zhao, and Gail-Joon Ahn
    ACM Symposium on Access Control Models and Technologies (SACMAT), 2019
  6. ExSol: Collaboratively Assessing Cybersecurity Risks for Protecting Energy Delivery Systems
    Josephine Lamp, Carlos E. Rubio-Medrano, Ziming Zhao, and Gail-Joon Ahn
    IEEE Workshop on Modeling and Simulation of Cyber-Physical Energy Systems (MSCPES), 2019
  7. iCORE: Continuous and Proactive Extrospection on Multi-core IoT Devices
    Penghui Zhang, Haehyun Cho, Ziming Zhao, Adam Doupé, and Gail-Joon Ahn
    ACM/SIGAPP Symposium On Applied Computing (SAC), 2019
  8. Understanding and Predicting Private Interactions in Underground Forums
    Zhibo Sun, Carlos E. Rubio-Medrano, Ziming Zhao, Tiffany Bao, Adam Doupé, and Gail-Joon Ahn
    ACM Conference on Data and Application Security and Privacy (CODASPY), 2019
  9. Semantics-Aware Privacy Risk Assessment Using Self-Learning Weight Assignment for Mobile Apps
    Jing Chen, Chiheng Wang, Ziming Zhao, Min Chen, Ruiying Du, and Gail-Joon Ahn
    IEEE Transactions on Dependable and Secure Computing (TDSC), 2019


Awards:

  • Ziming Zhao and his collaborators received the Distinguished Paper Award at USENIX Security
    Ziming Zhao, Assistant Professor of Computing Security, was a co-author of the paper “Users Really Do Answer Telephone Scams,” one of the six recipients of the Distinguish Paper Award at USENIX Security 2019. The winners were selected from 113 accepted papers, putting them in the top 1% of all 697 papers submitted to this conference.
    This paper explores what causes people to fall victim to telephone scams. Armed with this knowledge, effective countermeasures can be developed to challenge the key foundations of successful telephone phishing attacks. The paper presents the methodology, design, execution, results, and evaluation of an ethical telephone phishing scam and identifies at least one key factor—spoofed Caller ID—that has a significant effect in tricking victims into revealing their Social Security number. The paper was written together with external collaborators Huahong Tu (University of Maryland), Adam Doupé (Arizona State University), and Gail-Joon Ahn (Arizona State University and Samsung Research). 
  • Ziming Zhao coauthored a CCS paper on Security Operations Center security incidents
    Ziming Zhao, Assistant Professor of Computing Security, was a co-author of the new paper “Matched and Mismatched SOCs: A Qualitative Study on Security Operations Center Issues,” which appeared in the 2019 ACM Conference on Computer and Communications Security (CCS). This paper studies the problems specific to the Security Operations Centers that manage incidents for companies and governments. Through conducting interviews with Security Operations Center analysts and managers, the technical and non-technical issues that they agree and disagree on were identified. The findings will encourage center professionals to develop a better understanding of each other. The study also proposes opportunities to improve the efficiency and effectiveness of centers. The paper was written together with external collaborators from Arizona State University and Samsung Research. 
     (News release date: November 11, 2019)