Institute of Computing and Cybersystems (ICC) Blog

Category: Awards

Timothy Schulz Receives University Professor Award

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Timothy Schulz
Timothy Schulz

Timothy Schulz, professor of electrical and computer engineering and member of the ICC Center for Data Science, has been awarded the prestigious University Professor title, which recognizes  faculty members who have made outstanding scholarly contributions to the University and their discipline over a substantial period of time.

The University’s most prestigious faculty awards–announced last spring–were presented Wednesday, September 18, at a ceremony in the Van Pelt and Opie Library. Making the presentations were University President Richard Koubek, Provost and Senior Vice President for Academic Affairs Jacqueline Huntoon and Vice President for Research David Reed.

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Alex Sergeyev Wins ASEE Best Paper Award

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Alex Sergeyev

College of Computing Professor Alex Sergeyev (DataS) presented his research article, “University, Community College and Industry Partnership: Revamping Robotics Education to Meet 21st Century Workforce Needs – NSF Sponsored Project Final Report,” at the 2019 American Society of Engineering Education (ASEE) annual conference, receiving the Best Paper Award in the Engineering Technology Division.

The conference took place June 16-19 in Tampa, Florida.

Co-authors of the publication are S. Kuhl, N. Alaraje, M. Kinney, M. HIghum, and P. Mehandiratta. The paper will be published in the fall issue of the prestigious Journal of Engineering Technology (JET).

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Bo Chen Receives $250K NSF Award for Mobile PDE Systems Research

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Bo Chen, CS

Bo Chen, assistant professor of computer science and member of the Institute of Computing and Cybersystems Center for  Cybersecurity, is the principal investigator on a project that has received a $249,918 research and development grant from the National Science Foundation. The project is entitled, “SaTC: CORE: Small: Collaborative: Hardware-Assisted Plausibly Deniable System for Mobile Devices.” This is a potential three-year project.

Abstract: Mobile computing devices typically use encryption to protect sensitive information. However, traditional encryption systems used in mobile devices cannot defend against an active attacker who can force the mobile device owner to disclose the key used for decrypting the sensitive information. This is particularly of concern to dissident users who are targets of nation states. An example of this would be a human rights worker collecting evidence of untoward activities in a region of oppression or conflict and storing the same in an encrypted form on the mobile device, and then being coerced to disclose the decryption key by an official. Plausibly Deniable Encryption (PDE) has been proposed to defend against such adversaries who can coerce users into revealing the encrypted sensitive content. However, existing techniques suffer from several problems when used in flash-memory-based mobile devices, such as weak deniability because of the way read/write/erase operations are handled at the operating systems level and at the flash translation layer, various types of side channel attacks, and computation and power limitations of mobile devices. This project investigates a unique opportunity to develop an efficient (low-overhead) and effective (high-deniability) hardware-assisted PDE scheme on mainstream mobile devices that is robust against a multi snapshot adversary. The project includes significant curriculum development activities and outreach activities to K-12 students.

This project fundamentally advances the mobile PDE systems by leveraging existing hardware features such as flash translation layer (FTL) firmware and TrustZone to achieve a high deniability with a low overhead. Specifically, this project develops a PDE system with capabilities to: 1) defend against snapshot attacks using raw flash memory on mobile devices; and 2) eliminate side-channel attacks that compromise deniability; 3) be scalable to deploy on mainstream mobile devices; and 4) efficiently provide usable functions like fast mode switching. This project also develops novel teaching material on PDE and cybersecurity for K-12 students and the Regional Cybersecurity Education Collaboration (RCEC), a new educational partnership on cybersecurity in Michigan.

Publications related to this research:

[DSN ’18] Bing Chang, Fengwei Zhang, Bo Chen, Yingjiu Li, Wen Tao Zhu, Yangguang Tian, Zhan Wang, and Albert Ching. MobiCeal: Towards Secure and Practical Plausibly Deniable Encryption on Mobile Devices. The 48th IEEE/IFIP International Conference on Dependable Systems and Networks (DSN ’18), June 2018 (Acceptance rate: 28%)
[Cybersecurity ’18] Qionglu Zhang, Shijie Jia, Bing Chang, Bo Chen. Ensuring Data Confidentiality via Plausibly Deniable Encryption and Secure Deletion – A Survey. Cybersecurity (2018) 1: 1.
[ComSec ’18 ] Bing Chang, Yao Cheng, Bo Chen, Fengwei Zhang, Wen Tao Zhu, Yingjiu Li, and Zhan Wang. User-Friendly Deniable Storage for Mobile Devices. Elsevier Computers & Security, vol. 72, pp. 163-174, January 2018
[CCS ’17] Shijie Jia, Luning Xia, Bo Chen, and Peng Liu. DEFTL: Implementing Plausibly Deniable Encryption in Flash Translation Layer. 2017 ACM Conference on Computer and Communications Security (CCS ’17), Dallas, Texas, USA, Oct 30 – Nov 3, 2017 (Acceptance rate: 18%)
[ACSAC ’15] Bing Chang, Zhan Wang, Bo Chen, and Fengwei Zhang. MobiPluto: File System Friendly Deniable Storage for Mobile Devices. 2015 Annual Computer Security Applications Conference (ACSAC ’15), Los Angeles, California, USA, December 2015 (Acceptance rate: 24.4%)
[ISC ’14] Xingjie Yu, Bo Chen, Zhan Wang, Bing Chang, Wen Tao Zhu, and Jiwu Jing. MobiHydra: Pragmatic and Multi-Level Plausibly Deniable Encryption Storage for Mobile Devices. The 17th Information Security Conference (ISC ’14), Hong Kong, China, Oct. 2014

Link to more information about this project: https://snp.cs.mtu.edu/research/index.html#pde

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Keith Vertanen and Scott Kuhl Awarded $500K NSF Grant

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Scott Kuhl
Scott Kuhl
Keith Vertanen
Keith Vertanen

Keith Vertanen, assistant professor of computer science (HCC), and Scott Kuhl (HCC), associate professor of computer science, are principal investigators of a recently funded three-year National Science Foundation grant for their project, “CHS: Small: Rich Surface Interaction for Augmented Environments.” The expected funding over three years is $499,552.00.

Vertanen and Kuhl are members of Michigan Tech’s Institute of Computing and Cybersystems (ICC) Center for Human-Centered Computing. A 2018 ICC research seed grant funded by ECE Alumnus Paul Williams was used to produce some of the preliminary results in the successful proposal. More info about the Williams Seed Grant can be found here: https://blogs.mtu.edu/icc/2019/07/16/appropriating-everyday-surfaces-for-tap-interaction/.

A related video can be found here: https://youtu.be/sF7aeXMfsIQ.

Abstract: Virtual Reality (VR) and Augmented Reality (AR) head-mounted displays are increasingly being used in different computing related activities such as data visualization, education, and training. Currently, VR and AR devices lack efficient and ergonomic ways to perform common desktop interactions such as pointing-and-clicking and entering text. The goal of this project is to transform flat, everyday surfaces into a rich interactive surface. For example, a desk or a wall could be transformed into a virtual keyboard. Flat surfaces afford not only haptic feedback, but also provide ergonomic advantages by providing a place to rest your arms. This project will develop a system where microphones are placed on surfaces to enable the sensing of when and where a tap has occurred. Further, the system aims to differentiate different types of touch interactions such as tapping with a fingernail, tapping with a finger pad, or making short swipe gestures.

This project will investigate different machine learning algorithms for producing a continuous coordinate for taps on a surface along with associated error bars. Using the confidence of sensed taps, the project will investigate ways to intelligently inform aspects of the user interface, e.g. guiding the autocorrection algorithm of a virtual keyboard decoder. Initially, the project will investigate sensing via an array of surface-mounted microphones and design “surface algorithms” to determine and compare the location accuracy of the finger taps on the virtual keyboard. These algorithms will experiment with different models including existing time-of-flight model, a new model based on Gaussian Process Regression, and a baseline of classification using support vector machines. For all models, the project will investigate the impact of the amount of training data from other users, and varying the amount of adaptation data from the target user. The project will compare surface microphones with approaches utilizing cameras and wrist-based inertial sensors. The project will generate human-factors results on the accuracy, user preference, and ergonomics of interacting midair versus on a rigid surface. By examining different sensors, input surfaces, and interface designs, the project will map the design space for future AR and VR interactive systems. The project will disseminate software and data allowing others to outfit tables or walls with microphones to enable rich interactive experiences.

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2017 ICC Achievement Awards Presented at ICC Annual Retreat

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ICC Annual Retreat was held on April 21. Co-Director Dan Fuhrmann presented ICC Achievement Awards to two researchers for their outstanding research and honorable contributions to the ICC in 2017. Zhuo Feng from the Center for Scalable Architectures and Systems (SAS) and Shane Mueller from the Center for Human-Centered Computing (HCC) were this year’s recipients.

Shane Mueller is Associate Professor in the Department of Cognitive and Learning Sciences with an expertise in Cognitive and Computational Modeling. He has recently been awardedDARPA’s Explainable AI (XAI) Grant to develop naturalistic theories of explanation with AI systems and to develop a computational cognitive model of explanatory reasoning.  In addition to this effort, he has served as Co-PI of  several proposals in collaboration with other HCC members from the KIP, CS, and Math departments. He has continuously published his works in top journals and conferences, such as IEEE and Cognitive Modeling Communities and organized several conferences. Another significant achievement is developing PEBL: The Free Psychology Experiment Building Language for HCI and Psychology Researchers, which is widely used across the world. Zhuo Feng is Associate Professor in the Department of Electrical and Computer Engineering. Zhuo has received funding as the sole PI on three National Science Foundation (NSF) grants since 2014 with a total of $1.1 million. He received a Faculty Early Career Development (CAREER) Award from NSF in 2014, a Best Paper Award from ACM/IEEE Design Automation Conference (DAC) in 2013, and two Best Paper AwardNominations from IEEE/ACM International Conference on Computer-Aided Design (ICCAD) in 2006 and 2008. His publications include 16 journal papers (14 IEEE/ACM Transactions) and 34 ACM/IEEE conference papers.

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Three ICC Members are Nominated for the 2017 Distinguished Teaching Awards

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Three ICC members are finalists in the 2017 Distinguished Teaching Awards presented by The William G. Jackson Center for Teaching and Learning. Nominees are recognized for their outstanding contributions to the instructional mission of the University. Based on more than 50,000 student ratings of instruction responses, ten finalists have been identified for the 2017 awards. The ICC member finalists are:

Associate Professor / Professor Category

  • Mari Buche (DataS), Associate Professor
  • Yu Cai (CyberS), Associate Professor

Assistant Professor / Lecturer / Professor of Practice Category

  • Jeffrey Wall (CyberS), Assistant Professor
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Nilufer Onder Recognized for Exceptional Teaching Performance

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Nilufer Onder (DataS) has been identified as one of only 91 instructors at Michigan Tech who received an exceptional “Average of 7 dimensions” student evaluation score during fall semester 2016.

Onder’s scores were 4.95 (Excellent Teacher) and 4.71 (Average of 7 dimensions). These are in the top 10% of similarly sized sections across all courses/sections on campus. Only 111 sections university-wide (out of more than 1050 evaluated) were rated this highly by students.

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