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    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).


    Assistants, Helpers Needed for Cybersecurity Teacher Camp, July 19-23


    Dr. Yu Cai, Applied Computing, is seeking motivated students to help with this summer’s GenCyber Teacher Camp, which takes place on campus July 19-23, 2021.

    1. Twenty K-12 teachers attending the camp.
    2. Students will work as teaching assistants and camp helpers. They will set up the lab, help during hands-on activities and games, manage the website, and help the assessment. Students will be paid for 3 weeks of work during July.
    3. Contact Dr. Yu Cai (cai@mtu.edu) for details and to apply.


    Michigan Tech Ranked Among the Best

    Two recent rankings place Michigan Tech among elite colleges and universities on both the state and national level. 

    Michigan Tech was rated #2 on the list of the Best Accredited Online Colleges in Michigan by EDsmart. The ranking service assesses online colleges in Michigan based on data that covers cost, academic quality, student satisfaction and salary after attending. 

    Michigan Tech was ranked #13 on the list of the 50 Best Value Public Colleges in America by Stacker. The ranking included only public, four-year colleges and weighed the cost of tuition with each school’s acceptance rate, quality of professors, diversity and the median earnings for alumni six years after graduation.


    Graduate Research Colloquium 2021

    by Graduate Student Government

    This year’s Graduate Research Colloquium organized by the Graduate Student Government was hosted virtually due to COVID restrictions. There were in total 48 presentations — 17 poster presenters and 31 oral presenters.

    Poster presentations took place in a pre-recorded video style and the oral sessions were hosted live via Zoom. You can watch all the poster videos and recordings for the oral sessions here. Each presentation was scored by two judges from the same field of research.

    Participants were able to gain valuable feedback from these judges before presenting their research at an actual conference. It was stiff competition amongst all presenters. Following are the winners for each of these sessions.

    Of the many presentations were the following by two graduate students affiliated with the College of Computing.

    Simulating the Spread of Infectious Diseases
    Meara Pellar-Kosbar, Data Science

    This simulation is designed to show how a fictional viral illness could spread among people in a virtual room. Over the course of the virtual simulation, a number of automatic simulated people called subjects will move about an adjustable virtual grid. During this time, subjects will come into contact with each other and with item cells in the virtual room. Subjects will be exposed to this fictional virus via contact with other subjects, items, and via the air when within a certain distance of a contagious subject. The viral counts of each subject will be tracked and shown as the simulation runs, showing how the actions of the subjects’ affects their viral counts.

    Cultural Competence Effects of Repeated Implicit Bias Training
    Karen Colbert, Social Sciences

    Karen Colbert is a PhD student in the Computational Sciences and Engineering department.

    Abstract: Diversity training literature suggests that mandatory and recurrent sessions should maximize training efficacy, but research has primarily focused on single, brief training sessions that are often voluntary. Michigan Tech is one of few universities to implement required and repeated diversity training for all faculty who serve on search, tenure, and promotion committees. The goal of this study is to evaluate the training’s effectiveness, as well as to fill the gap in research on mandatory recurring diversity training. To do this, we anonymously surveyed faculty members on their knowledge, attitudes, and skills related to content from the Diversity Literacy program and scored responses to create a single composite score for each participant. We hypothesized that composite Cultural Competency Score (CCS) would be higher for faculty who 1) have taken more refresher trainings, and 2) completed training more recently. This study included 130 total respondents (large sample), 69 of whom provided their Diversity Literacy completion information anonymously through Human Resources (small sample). Composite CCS did not differ significantly by frequency of training, H(2)=3.78, p=.151. CCS did differ significantly by years since last training, F(2,63)=4.436, p=.016. Results from both large and small groups showed no statistical significant relationship between CCS and faculty committee service. CCS was negatively correlated with years employed at Tech in both the large (r=-0.363, p=0.002) and small (r = -0.258, p=0.01) samples. This relationship between low CCS and longer employment at Tech may additionally be related to the Diversity Literacy program’s implementation in 2010. Qualitative responses were also collected regarding training material that faculty found most memorable (N=102) and most confident to put into practice (N=93).

    View all the Research Colloquium abstracts here.


    Cyber Forum With MTU Army ROTC

    by Major Daniel F. Gwosch, Professor of Military Science

    Are you interested in a DoD career in Cyber Security after Michigan Tech? Join the Arctic Warrior Cadets and learn about DoD Cyber from a panel of subject matter experts.  The presentation will be held at 1 p.m. tomorrow (April 9).

    Presenting are:

    • Colonel Silas Calhoun (US Army, Cyber)
    • 1LT Lisa Hozey (Army Reserve, Cyber)
    •  CPT Scott Ardis (Army Reserve, Cyber)
    • Capt. Chris Jamison (USAF, Cyber)

    This event will be a virtual event and is intended to provide information on current Cyber activities being conducted by US Army Cyber and the Joint DoD community of experts


    Lode Centennial Banquet Friday

    by Michigan Tech Lode

    Join the 2020-2021 staff of the Michigan Tech Lode as we celebrate one hundred years on Michigan Tech’s campus. We would not be here today without alumni, readers, and the support of staff. While we are restricted to Zoom, this allows us to invite many more people.

    We will begin the celebration with a history of The Lode, then move on to introductions of the current staff. After this, we would like to hear about your experience with The Lode, fun memories, and any other comments you’d like to share. Those who register will be entered into a raffle to win a Lode hat.

    We will be picking two winners. All members of the past and present Michigan Tech community are encouraged to attend, especially any Lode alumni. To register, click here. To view more information, visit our website.


    1010 with … Dr. Alex Sergeyev, Applied Computing


    Are you a high school student, current undergraduate student, or a recent BS graduate? Are you are interested in robotics, automation, and controls?

    “If you’d like to learn more about the Mechatronics and the BS and MS programs at Michigan Tech, please join this 1010 conversation,” Professor Alex Sergeyev urges.

    You are invited to spend one-zero-one-zero—that is, ten—minutes with Dr. Aleksandr Sergeyev on Thursday, April 15, from 4:30 to 4:40 p.m. EST.


    Dr. Sergeyev is a professor in the Applied Computing department and director of the Mechatronics graduate program. He also directs the FANUC Certified Industrial Robotics Training Center at Michigan Tech.

    Dr. Sergeyev will discuss his research, the Applied Computing department, and the Mechatronics BS and MS programs. He will answer questions following his presentation.

    Michigan Tech is a pioneer in Mechatronics education, having introduced a graduate degree program in 20xx, and a bachelor’s program in Fall 2019.

    “Mechatronics is an industry buzzword synonymous with robotics, controls, automation, and electromechanical engineering,” Sergeyev says.

    In his presentation, he will discuss Mechatronics in general, explain what the degree has to offer, job opportunities in Mechatronics, and some of the research he is conducting in this field.

    In Spring 2021, a Mechatronics Playground was opened on campus. The hands-on learning lab and industry-grade equipment was funded by alumnus Mark Gauthier of Donald Engineering, Grand Rapids, MI, and other major companies.

    A common degree in Europe, China, Japan, Russia, and India, advanced study in Mechatronics is an underdeveloped academic discipline in the United States, even though the industrial demand for these professionals is enormous, and continues to grow.

    Sergeyev’s areas of expertise are in electrical and computer engineering, physics, and adaptive optics, and his professional interests include robotics. He is principal investigator for research grants totaling more that $1 million. He received both his MS and PhD degrees at Michigan Tech, in physics and electrical and computer engineering, respectively.

    We look forward to spending 1010 minutes with you!


    1010 with Jung Bae, Applied Computing, ME-EM


    You are invited to spend one-zero-one-zero—that is, ten—minutes with Dr. Jung Yun Bae on Thursday, April 1, from 4:30 to 4:40 p.m. EST.

    Dr. Bae is an Assistant Professor in the Applied Computing and Mechanical Engineering-Engineering Mechanics departments.

    She will discuss her research, the Applied Computing department, and answer questions.

    Dr. Bae earned her Ph.D. in Mechanical Engineering at Texas A&M University and worked as a research professor at Korea University before she joined Michigan Tech.

    Dr. Bae’s research interests include:

    • Robotics, Multi-robot systems
    • Coordination of Heterogeneous Robot Systems
    • Vehicle Routing Problems
    • Multi-robot System Control and Optimization
    • Autonomous Navigation
    • Unmanned Vehicles
    • Operational Research for Autonomous Vehicles

    We look forward to spending 1010 minutes with you!

    Visit the 1010 with … webpage here.