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  • Category: Proposals

    Bo Chen, CS, Wins REF Grant for Decentralized Cloud Storage Project

    Bo Chen, Computer Science, has been awarded a Fall 2020 REF Research Seed Grant (REF-RS) for his project, “Towards Secure and Reliable Decentralized Cloud Storage.” Funding for the 12-month, $25,800 award begins on January 1, 2021.

    “This grant will provide significant help to advance my current research,” says Chen. “This is really exciting news for me.”

    As a recipient of the REF seed grant, which is awarded by the Michigan Tech Office of the Vice President for Research, Chen will participate in review and feedback for the next round of REF proposals. View the full list of Fall 2020 REF award recipients here.

    Bo Chen is a researcher with the ICC’s Cybersecurity and Computing Education research groups. The ICC–Institute of Computing and Cybersystems–brings faculty and students together to discover innovative new knowledge in the field of computing.

    Abstract

    A decentralized cloud storage system eliminates the need of dedicated computing infrastructures by allowing peers which have spare storage space to join the network and to provide storage service. Compared to the conventional centralized cloud storage system, it can bring significant benefits including cheaper storage cost, better fault tolerance, greater scalability, as well as more efficient data storing and retrieval, making it well fit the emerging Internet of things (IoT) applications.

    While bringing immense benefits, the decentralized cloud storage system also raises significant security concerns, since the storage peers are much less reputable than the traditional data centers and may more likely misbehave.

    This project thus aims to build a secure and reliable decentralized cloud storage system which can serve as the cloud infrastructure for future IoT applications. The project will actively investigate two fundamental security issues faced by the decentralized cloud storage system: 1) How can we prevent the malicious storage peers from stealing the data? 2) How can we ensure that once the data are stored into the system, they are always retrievable even if the storage peers misbehave?

    To address the aforementioned issues in an untrusted p2p environment, the PI will integrate efficient integrity checking with the blockchain, as well as the broadly equipped secure hardware like Intel SGX. The PI will also broaden the educational impact of the proposed project by actively involving both graduate and undergraduate students from the MTU cybersecurity programs.


    Guy Hembroff Awarded CCISD Contract for CTE Cybersecurity Course

    Guy Hembroff, associate professor, CMH Division, and director of the Health Informatics graduate program and the Institute of Computing and Cybersystem’s Center for Cybersecurity, is the principal investigator on a one-year project that has been awarded a $40,000 contract from the Copper Country Intermediate School District (CCISD). The project is titled “Cybersecurity Course for Career and Technical Education (CTE) Program.”

    The CCISD CTE program provides courses and labs to high school-age students from Baraga, Houghton, and Keweenaw counties. It is intended to provide the academic background, technical ability, and work experience that today’s youth will need to succeed in today’s changing job market.

    The contract funds instructor time, use of facilities, labs, and equipment, and materials and supplies. Student enrolled in the program meet on Michigan Tech’s campus for two hours per day, Monday through Friday, from September to May.

    The CTE Cybersecurity course covers topics including security architecture, cryptographic systems, security protocols, and security management tools. Students also learn about virus and worm propagation, malicious software scanning, cryptographic tools, intrusion detection, DoS, firewalls, best practices, and policy management.

    Learn more about the CCISD CTE program at: https://www.copperisd.org/career-technical-education.


    Soner Onder and Dave Whalley Investigate Instruction-level Parallelism

    From Florida State University News

    A Florida State University researcher is working to make computer processors execute applications in a more energy-efficient manner with the help of a new $1.2 million grant from the National Science Foundation.

    Professor Dave Whalley, Florida State University

    “The general goal is to increase performance but to do it in a manner that is more energy efficient than the dominant computer processors that are in use today,” Professor of Computer Science David Whalley said.

    To do that, Whalley and his colleague Soner Onder, a professor at Michigan Technological University, hope to more efficiently exploit what’s called instruction-level parallelism, or the ability of a computer to simultaneously execute multiple machine instructions.

    Professor Soner Onder, Michigan Tech Department of Computer Science
    Professor Soner Onder, Michigan Tech Department of Computer Science

    “In general, VLIW processors are more energy efficient but cannot approach the performance of OoO processors except in limited domains, such as digital signal processing,” Whalley said.

    Whalley’s project, called SCALE for Statically Controlled Asynchronous Lane Execution, is designed to overcome these current limitations. SCALE supports separate execution lanes, so that instructions in separate lanes can execute in parallel and dependencies between instructions in different lanes are identified by the compiler to synchronize these lanes when necessary.

    “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,” Whalley said.

    The grant began this fall and will run through August 2023. Half of the funding will come to Florida State, with the other half supporting Onder’s part of the work at Michigan Technological University. The FSU portion will support two graduate students in computer science.


    Weihua Zhou is PI on $25K R and D Grant from Tulane University

    Weihua Zhou

    Weihua Zhou, assistant professor, Health Informatics, and member of the ICC’s Center for Data Sciences, is the principal investigator on a project that has received a $24,497 federal pass-through research and development grant from Tulane University. The project is titled, “Trans-Omics Integration of Multi-Omics Studies for Male Osteoporosis.” This is a 7-1/2 month project.

    Abstract: Osteoporosis is the most prevalent metabolic bone disease and it is representative of many diseases typical of aging. While advances in omics technologies,  such as genomics, transcriptomics, proteomics, and epigenomics, have been successful in identifying risk loci for osteoporosis, each technology individually cannot capture the entire biological complexity of osteoporosis. The integration of multiple technologies has emerged as an approach to provide a more comprehensive view of biology and disease. In addition, recent advances in image analysis have enabled the characterization of not only the bone mineral density but also the bone microarchitecture and biomechanical quality with the dual-energy x-ray absorptiometry (DEXA) and quantitative computed tomography (QCT) measurements. The Tulane Center for Bioinformatics and Genomics (CBG), led by Dr. Hong-Wen Deng, has accumulated/is acquiring extensive multi-omics data and DEXA/QCT images through a number of research projects for osteoporosis and other related phenotypes. Tulane CBG is actively seeking collaborations with investigators who have the expertise and experience in integrative multi-omics analysis and advanced image analysis. With this NIH subcontract award (U19AG055373), Tulane CBG will collaborate with Dr. Weihua Zhou and his team on the development and implementation of sophisticated methods for multi-omics analysis and DEXA/QCT image analysis.
    Dr. Zhou is looking for volunteer research assistants. Please visit his web pages for more details: https://pages.mtu.edu/~whzhou/, and read this blog post: https://blogs.mtu.edu/computing/2019/12/03/medical-imaging-…earch-assistants/.