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    Michigan Tech Joins PSERC

    By Kimberly Geiger, College of Engineering, June 8, 2021

    Michigan Technological University has joined the Power Systems Engineering Research Center (PSERC) — a collaboration of university and industry members.

    “We are very pleased to be members of PSERC, where our researchers can combine efforts with other members to creatively address key challenges in creating a modern electric energy infrastructure,” stated Janet Callahan, dean of Michigan Tech’s College of Engineering. “Michigan Tech will be the 13th university in the partnership, and will bring three new industry partners into PSERC,” she added.

    Those partners are DTE, Consumers Energy and Hubbell. The full list of member universities is available on the PSERC website.

    “The overall goal of joining PSERC is to catalyze transdisciplinary research by teaming up with other institutions and relevant industry partners for national grant competition,” said Chee-Wooi Ten, associate professor of electrical and computer engineering at Michigan Tech. Ten will serve as Michigan Tech’s PSERC site director.

    Started as a National Science Foundation (NSF) Industry-University Cooperative Research Center (IUCRC), PSERC began in 1996 and was first led by Cornell professor Robert J. Thomas, and then Vijay Vittal of Arizona State University. Today PSERC is directed by Kory W. Hedman, professor of electrical and computer engineering at Arizona State University. 

    PSERC member expertise includes power systems, applied mathematics, complex systems, computing, control theory, power electronics, operations research, nonlinear systems, economics, industrial organization and public policy. 

    Michigan Tech brings much to the research collaborative, said Callahan, particularly in key areas of power systems engineering, social sciences and, most importantly, computing involved heavily in data science and cybersecurity. Cross-disciplinary interaction will be encouraged and expected, for example, with the University’s Department of Applied Computing where Ten holds an affiliated faculty position and where Hubbell is a member of the departmental industrial advisory board.

    Membership in PSERC will enable Michigan Tech to apply for seed grants together with other PSERC universities. Ten envisions Michigan Tech faculty members submitting seed grant proposals annually. “PSERC membership will enable Michigan Tech to go beyond its traditional research boundaries,” he said. “Historically, power area research at Michigan Tech focuses on the metering of electrical loads met by generation. We’ll see more opportunities that involve the intersection of new cross-disciplinary areas.”

    PSERC grants can also fund graduate student research, noted Callahan. “Any faculty member at Michigan Tech can submit proposals, but this is especially good news for assistant professors and other new faculty members seeking to establish a research program,” she said. “This aligns with our institutional Tech Forward initiatives and University vision to grow to 10,000 students, especially our graduate student population.”

    Members of PSERC typically meet in person three times per year with the PSERC  Industrial Advisory Board (IAB). This meeting provides a regular opportunity to build new and productive partnerships among faculty and students from other PSERC universities as well as with industrial partners.

    “These meetings are unparalleled, a regular opportunity to meet and mingle with energy researchers from other PSERC institutions. We’ll be able to brainstorm and discuss possible collaborations,” said Ten. “I am also very pleased to work with Kory Hedman, the new director of PSERC.”

    “While we are now part of the PSERC ecosystem that allows us to submit proposals, the work has only just begun,” Ten concluded. “I am looking forward to working with our PSERC members and creating value with Michigan Tech’s research strengths.”

    View the original article here.

    Michigan Technological University is a public research university, home to more than 7,000 students from 54 countries. Founded in 1885, the University offers more than 120 undergraduate and graduate degree programs in science and technology, engineering, forestry, business and economics, health professions, humanities, mathematics, and social sciences. Our campus in Michigan’s Upper Peninsula overlooks the Keweenaw Waterway and is just a few miles from Lake Superior.


    New Chair of CLS Has Passion for Human Factors and UP Life

    by Chris Clonts, College of Sciences and Arts

    David Hemmer, dean of the College of Sciences and Arts, has announced that Kelly Steelman has accepted the position as chair of the Cognitive and Learning Sciences department.

    Steelman, an associate professor of psychology and an affiliated associate professor of mechanical engineering-engineering mechanics, had been working as the interim chair.

    Hemmer cited Steelman’s work developing Michigan Tech’s new bachelor’s degree in human factors as one reason he’s happy to see her in the role. “Kelly has done a great job as interim chair, including shepherding the department’s new human factors BS degree through to approval,” he said.

    Here’s what Steelman said about the new undergraduate major in human factors:

    “Our new human factors major will be great for students that are interested in designing the future and building new technologies, but also really care about people and want to understand why people do the things that we do and why we make the mistakes that we do,” she said.

    “A human factors program is a particularly good fit for Michigan Tech, as it blends foundational coursework in psychology with courses in systems engineering, human-computer interaction, usability, business, and design,” she continued. “Designing the major was a true multidisciplinary effort, with faculty from numerous departments and colleges providing input and feedback.”

    Find out more about Steelman, from her (really) long journey to Houghton to her roller derby involvement.


    Fall 2021 Finishing Fellowship Nominations Open

    by Debra Charlesworth, Graduate School

    Applications for Fall 2021 Finishing Fellowships are being accepted and are due no later than 4 p.m. June 30 to the Graduate School. Please email applications to gradschool@mtu.edu.

    Instructions on the application and evaluation process are found online. Students are eligible if all of the following criteria are met:

    1. Must be a Ph.D. student.
    2. Must expect to finish during the semester supported as a finishing fellow.
    3. Must have submitted no more than one previous application for a Finishing Fellowship.
    4. Must be eligible for candidacy (tuition charged at Research Mode rate) at the time of application.
    5. Must not hold a final oral examination (“defense”) prior to the start of the award semester.

    Finishing Fellowships provide support to Ph.D. candidates who are close to completing their degrees. These fellowships are available through the generosity of alumni and friends of the University. They are intended to recognize outstanding Ph.D. candidates who are in need of financial support to finish their degrees and are also contributing to the attainment of goals outlined in The Michigan Tech Plan.

    The Graduate School anticipates funding up to 10 fellowships, with support ranging from $2,000 to full support (stipend plus tuition). Students who receive full support through a Finishing Fellowship may not accept any other employment. For example, students cannot be fully supported by a Finishing Fellowship and accept support as a GTA or GRA.


    Undergrad Summer Lab Positions: Autonomous Driving Research


    Dr. Xiaoyong (Brian) Yuan, Applied Computing and Computer Science, is seeking several hourly paid undergraduate students to work in the areas of autonomous driving.

    The project is funded by MTU Research Excellence Fund (REF) and expected to begin in summer 2021 (7/1/2021).

    Preferred Qualifications

    • Passion for research in autonomous driving and machine learning
    • Solid programming skills in C, Python, Java, or related programming languages
    • Familiar with Linux OS

    To Apply

    To apply, please send a resume and a transcript to Dr. Yuan (xyyuan@mtu.edu).

    Dr. Yuan is a member of the Data Sciences and Cybersecurity research groups of the Institute of Computing and Cybersystems (ICC).


    Conference on Applied Cryptography: Call for Participation


    The 2021 EAI International Conference on Applied Cryptography in Computer and Communications (AC3 2021) takes place May 15-16, 2021.

    Register for the virtual conference here.

    Dr. Bo Chen, Computer Science, founding general chair of the new EAI conference, says the conference has brought together researchers, developers and practitioners from around the world who will focus on, discuss, and explore the area of applied cryptography in computer and communication systems.

    Conference Topics

    Conference topics include all aspects of applied cryptography, including symmetric cryptography, public-key cryptography, cryptographic protocols, cryptographic implementations, cryptographic standards and practices, as well as using cryptography to solve real-world problems.

    Technical Program

    The AC3 2021 technical program includes four main conference tracks at which 11 papers will be presented virtually in oral presentations.

    • Track 1 – Blockchain
    • Track 2 – Authentication
    • Track 3 – Secure Computation
    • 4 – Practical Crypto Application. Aside from the high-quality technical paper presentations, the technical program also features two keynote speeches, and one technical workshop.

    Keynotes

    The two keynote speeches will be delivered by Prof. Kui Ren (ACM Fellow, IEEE Fellow), Zhejiang University, China; and IEEE Fellow Prof. Robert Deng, Singapore Management University.

    Workshop

    A workshop, the First International Workshop on Security for Internet of Things (IOTS 2021), includes four technical papers which aim to develop cryptographic techniques for ensuring the IoT security. The conference, originally planned to be held in Xiamen China, was moved it online for the health and safety of participants.


    Register to participate in the virtual conference here. Use the “Sign up for free access to the livestream” option.


    European Alliance for Innovation (EAI) is an international professional community and a nonprofit organization. The goal of EAI is to empower the global ICT research and innovation community, and to promote cooperation between European and International ICT communities.

    EAI Conferences span the globe with opportunities to meet, explore, and contribute to the world of ICT research. With 100+ annual events (including MobiQuitous, SecureComm, etc.), EAI is one of the world’s most prolific scientific communities.

    EAI Conferences are published via Springer’s LNICST and EAI’s EUDL, and they are indexed in all leading indexing services, including EI, ISI, Scopus, CrossRef, Google Scholar, dblp, MAS, EBSCO, Microsoft Academic Search, CiteSeerX, and more.


    Congratulations Class of 2021!

    It has been a challenging academic year, to say the least. As part of the Class of 2021, you are an exceptional group of graduates. Your final academic year presented you with unforeseen and unprecedented challenges, yet you persevered.

    We are all proud to have mentored, instructed, and supported you on your educational journey. We know you’ll do well. You are a Husky, after all!

    Please stay in touch!


    New Course: Applied Machine Learning


    Summary

    • Course Number: 84859, EET 4996-01
    • Class Times: T/R, 9:30-10:45 am
    • Location: EERC 0723
    • Instructor: Dr. Sidike Paheding
    • Course Levels: Graduate, Undergraduate
    • Prerequisite: Python Programming and basic knowledge of statistics.
    • Preferred knowledge: Artificial Intelligence (CS 4811) or Data Mining (CS4821) or Intro to Data Sciences (UN 5550)

    Course Description/Overview

    Rapid growth and remarkable success of machine learning can be witnessed by tremendous advances in technology, contributing to the fields of healthcare, finance, agriculture, energy, education, transportation and more. This course will emphasize on intuition and real-world applications of Machine Learning (ML) rather than statistics behind it. Key concepts of some popular ML techniques, including deep learning, along with hands-on exercises will be provided to students. By the end of this course, students will be able to apply a variety of ML algorithms to practical

    Instructor

    Applications Covered

    • Object Detection
    • Digital Recognition
    • Face Recognition
    • Self-Driving Cars
    • Medical Image Segmentation
    • Covid-19 Prediction
    • Spam Email Detection
    • Spectral Signal Categorization

    Tools Covered

    • Python
    • scikit learn
    • TensorFlow
    • Keras
    • Open CV
    • pandas
    • matplotlib
    • NumPy
    • seaborn
    • ANACONDA
    • jupyter
    • SPYDER

    Download the course description flyer:

    Download


    Volunteers Needed for Augmented Reality Study

    by Department of Computer Science

    We are looking for volunteers to take part in a study exploring how people may interact with future Augmented Reality (AR) interfaces. During the study, you will record videos of yourself tapping on a printed keyboard. The study takes approximately one hour, and you will be paid $15 for your time. You will complete the study at your home.

    To participate you must meet the following requirements:

    • You must have access to an Android mobile phone
    • You must have access to a printer
    • You must be a fluent speaker of English
    • You must be 18 years of age or older
    • You must live in the United States

    If you would like to take part, please contact rhabibi@mtu.edu


    AI, Mobile Security Grad-level Research Assistant Needed

    Dr. Xiaoyong (Brian) Yuan and Dr. Bo Chen are seeking an hourly paid graduate research assistant to work in the areas of artificial intelligence and mobile security. The project is expected to begin Summer 2021 (5/10/2021).

    Preferred Qualifications:
    1.     Passion for research in artificial intelligence and mobile security.
    1.     Familiar with Android OS and Android app development.
    2.     Basic knowledge of machine learning and deep learning.
    3.     Solid programming skills in Java, Python, or related programming languages. 
    4.     Experience with popular deep learning frameworks, such as Pytorch and Tensorflow is a plus.

    To Apply: Please send a resume and a transcript to Dr. Yuan (xyyuan@mtu.edu).


    GenCyber Teacher Camp Is July 19-23, 2021


    An NSA/NSF GenCyber Cybersecurity Teacher Camp for K-12 teachers will take place at Michigan Tech the week of July 19 – 23, 2021. This residential camp is offered at no cost to all participants.

    Topics include fundamental security knowledge, cyber hygiene, and other topics such as email phishing, password management, and cyber ethics. Participants will also learn how to develop lesson plans to teach cybersecurity in K-12.

    Room and board are included. Each teacher participant will receive a stipend of $500 for attending and completing camp activities. Commuting is also possible. Camp activities will count for 25 State Continuing Education Clock Hours (SCECH).

    Find complete details and apply here.  The application deadline is May 1, 2021.

    Funding of the camp is provided jointly by the National Security Agency (NSA) and the National Science Foundation (NSF) through a grant award led by Professor Yu Cai and Tim Van Wagner, both from the College of Computing Department of Applied Computing.

    Watch a video from the 2019 GenCyber Teacher Camp below.