Category Archives: News

Charles Wallace is Associate Dean for Curriculum and Instruction

Charles Wallace

Charles Wallace, Associate Professor of Computer Science, has been appointed Associate Dean for Curriculum and  Instruction for the College of Computing, effective immediately. Wallace has been teaching in the Department of Computer Science for 19 years, and he has a long track record of education research and building collaboration with Cognitive & Learning Sciences, Engineering, Humanities, and Social Sciences.

“Chuck brings to his new role an extensive breadth of experience that spans from outreach to curricular development to collaborations with multiple units across campus,” says Adrienne Minerick, dean of the College of Computing. “In this new role, he will help build campus collaborations to create additional pathways for Michigan Tech students to engage with computing curricula, and facilitate conversations within the College of Computing that enable creative, agile options for our students.”

“Barriers between computing and other disciplines are artificial and unproductive,” Wallace says. “Computing competencies are essential for Michigan Tech graduates in all fields, and the College and University should commit to building educational options housed in the College of Computing but available and accessible to all students.”

Wallace adds that students in the College of Computing should be free – and actively encouraged – to explore application areas where their skills can be used. He also wants to explore ways to build flexibility into Computing academic programs, maintaining the solid technical core that Michigan Tech graduates are known for, but also allowing students to pursue applications of their computing competencies in other disciplines.

Vision Statement from Charles Wallace:

Here are a few points that I consider vital to the future of computing education, based on 19 years of experience in the Computer Science Department, a long track record of education research, and extensive collaboration with Cognitive & Learning Sciences, Engineering, Humanities, and Social Sciences.

Barriers between computing and other disciplines are artificial and unproductive.  Computing competencies are essential for Michigan Tech graduates in all fields.  The College and University should commit to building educational options housed in the College of Computing but available and accessible to all students.  This will require an earnest and focused investment in personnel – we cannot do it solely with the current cohort of instructors, who are already stretched thinly with increased enrollment in core computing programs.

Conversely, students in the College of Computing should be free and even encouraged to explore application areas where their skills can be brought to bear.  Complex degree requirements can hinder such exploration.  We should explore ways to build flexibility into our programs, maintaining the solid technical core that Michigan Tech graduates are known for, but also allowing students to pursue applications of their computing competencies in other disciplines.

Computing students are citizens, not just producers.  The degree programs in Michigan Tech’s Computer Science Department have a long and venerable tradition of preparing students who can “produce” – hit the ground running in the workplace and build high quality solutions. That is a precious gift, and we should not deprive future students of it – but the future demands more. Our world is increasingly dominated by computing – and by extension, dominated by human beings who understand computing. Michigan Tech graduates of the College of Computing must be known not only for the technical “value” that they produce, but also the ability to question and critique digital technology, to be empathetic and articulate ambassadors and leaders in the new digital order of the future.

There are two promising ways in which we can build better computing citizens. First, an awareness of the social and ethical consequences of computing must be woven into our curricula, not just taught as external service courses.  Second, service learning is a way to expose students to the human contexts of computing technology. There are many ways to get students involved in our community, but these have not been harnessed outside of ad hoc outreach efforts. Interaction with the community should be built into the academic experience of computing students.

Computing competencies include values and attitudes, not just skills and knowledge. Alumni of our degree programs acknowledge that collaboration and communication are essential components of their professional lives.  These competencies involve not only skills but also values and attitudes – willingness and even eagerness to engage with others, resilience in the face of uncertainty or ambiguity, and adaptability in the face of changing requirements.  To prepare students for the highly collaborative computing workplace, courses in the College of Computing should embrace the opportunities and challenges of working in diverse teams. As with ethics, issues of teamwork and communication must be integrated into “disciplinary” courses, not left to service courses or external experiences like internships.

These curricular pathways hold promise not only to develop competent computing professionals of the future, but also to attract a more diverse constituency to the College of Computing student body.

College Seeking Applications for Three Faculty Positions

The Michigan Tech The College of Computing is growing! We are currently seeking applications for three faculty positions. Please use the links below and visit to learn more about the positions and to discover the many advantages of teaching at Michigan Tech and living in the Copper Country.

Assistant or Associate Professor, CNSA/MERET/HI Division

Assistant Professor, Computer Science

Visiting Assistant Professor, Computer Science

Keith Vertanen Is PI on $225K NSF Grant, “Improving Mobile Device Input for Users Who are Blind or Low Vision”

Keith Virtanen
Keith Vertanen

Keith Vertanen (CS/ICC-HCC) is the principal investigator on a three-year project that has received a $225,663 research and development grant from the National Science Foundation. The project is entitled, “CHS: Small: Collaborative Research: Improving Mobile Device Input for Users Who are Blind or Low Vision.”

Abstract: Smartphones are an essential part of our everyday lives. But for people with visual impairments, basic tasks like composing text messages or browsing the web can be prohibitively slow and difficult. The goal of this project is to develop accessible text entry methods that will enable people with visual impairments to enter text at rates comparable to sighted people. This project will design new algorithms and feedback methods for today’s standard text entry approaches of tapping on individual keys, gesturing across keys, or dictating via speech. The project aims to:  1) help users avoid errors by enabling more accurate input via audio and tactile feedback, 2) help users find errors by providing audio and visual annotation of uncertain portions of the text, and 3) help users correct errors by combining the probabilistic information from the original input, the correction, and approximate information about an error’s location. Improving text entry methods for people who are blind or have low vision will enable them to use their mobile devices more effectively for work and leisure. Thus, this project represents an important step to achieving equity for people with visual impairments.

This project will contribute novel interface designs to the accessibility and human-computer interaction literature. It will advance the state-of-the-art in mobile device accessibility by: 1) studying text entry accessibility for low vision in addition to blind people, 2) studying and developing accessible gesture typing input methods, and 3) studying and developing accessible speech input methods.  This project will produce design guidelines, feedback methods, input techniques, recognition algorithms, user study results, and software prototypes that will guide improvements to research and commercial input systems for users who are blind or low-vision. Further, the project’s work on the error correction and revision process will improve the usability and performance of touchscreen and speech input methods for everyone.

Alex Sergeyev Wins ASEE Best Paper Award

Alex Sergeyev

College of Computing Professor Alex Sergeyev 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).

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

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:

Soner Onder Receives Year One Funding for $1.2M NSF SCALE Project

Soner Onder
Dave Whalley

Soner Onder, professor of computer science, was recently awarded $246,329 for the first year of a four-year NSF grant for his project, “SHF: Medium: Collaborative Research: Statically Controlled Asynchronous Lane Execution (SCALE).” The project is in collaboration with Prof. David Whalley of Florida State University. Michigan Tech is the lead institution in the project, it is expected to total $1.2 million, with Michigan Tech receiving $600,000.

Abstract: Enabling better performing systems benefits applications that span those running on mobile devices to large data applications running on data centers. The efficiency of most applications is still primarily affected by single thread performance. Instruction-level parallelism (ILP) speeds up programs by executing instructions of the program in parallel, with ‘superscalar’ processors achieving maximum performance. At the same time, energy efficiency is a key criteria to keep in mind as such speedup happens, with these two being conflicting criteria in system design. This project develops a Statically Controlled Asynchronous Lane Execution (SCALE) approach that has the potential to meet or exceed the performance of a traditional superscalar processor while approaching the energy efficiency of a very long instruction word (VLIW) processor. As implied by its name, the SCALE approach has the ability to scale to different types and levels of parallelism. The toolset and designs developed in this project will be available as open-source and will also have an impact on both education and research. The SCALE architectural and compiler techniques will be included in undergraduate and graduate curricula.

The SCALE approach supports separate asynchronous execution lanes where dependencies between instructions in different lanes are statically identified by the compiler to provide inter-lane synchronization. Providing distinct lanes of instructions allows the compiler to generate code for different modes of execution to adapt to the type of parallelism that is available at each point within an application. These execution modes include explicit packaging of parallel instructions, parallel and pipelined execution of loop iterations, single program multiple data (SPMD) execution, and independent multi-threading.

This award reflects NSF’s statutory mission and has been deemed worthy of support through evaluation using the Foundation’s intellectual merit and broader impacts review criteria.

Meet and Greet with Dean Minerick, Weds., Sept. 18, 3-5 pm

Attention all College of Computing Students!

Please join Dean Minerick and College of Computing faculty and staff on Weds., Sept. 18, from 3-5 pm on the patio outside the Library Cafe, for a casual meet and greet and build-your-own-sundae ice cream social.

Ten College of Computing t-shirts will be raffled (you must be present to win), and CC laptop stickers will be given away. Hope to see you there!

View/download the Ice Cream Social Flyer

Keith Vertanen and Scott Kuhl Awarded $499K NSF Grant

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:

A related video can be found here:

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.

Update Performed on All On-domain Linux Systems

An update has been performed on all on-domain Linux systems.

OpenJDK 11 is now the default java version for Red Hat Enterprise Linux systems that are on-domain, in all open Linux labs, and on most office workstations.

The legacy java version 8 (aka java 1.8) is still available in both Open java and Oracle java flavors. However, they are deprecated and unsupported which means they will be removed in the future.

In order to use a non-default java version, set the JAVA_HOME environment variable to the version’s installation location and add it’s bin directory to the PATH in the Bash shell.

The following are some useful shell commands, including the paths to the various java versions:

# If setting Java Version to 8
export JAVA_HOME=/usr/lib/jvm/java-1.8.0-openjdk
# If setting to Oracle Java 8
export JAVA_HOME=/usr/java/jdk1.8.0_181-amd64
# If setting Java version back to 11 (default)
export JAVA_HOME=/usr/lib/jvm/java-11-openjdk/
# Add JAVA_HOME to beginning of your path export PATH=”${JAVA_HOME}/bin:$PATH”
# Verify Version
java -version

If you have any questions about the Linux update, email IT at, call 487-1111, or visit

GenCyber Camp for Teachers Garners Local Media Coverage

Michigan Tech hosted two week-long GenCyber camps this summer. The first, held June 17–21, 2019, hosted 30 local middle/high school students. The second camp, August 12–16, 2019, hosted 21 local K-12 teachers. Camp participants gained cybersecurity knowledge, understood correct and safe online behavior, and explored ways to deliver cybersecurity content in K-12 curricula.

A story about the GenCyber teacher camp was reported on August 16, 2019, by TV6: “GenCyber cyber security training camp comes to Michigan Tech” and on August 13, 2019, by the Keweenaw Report: “Teachers Learn How To Include Cybersecurity In Their Lessons.”

Learn more about the camps on the Institute of Computing and Cybersystems blog: