Category: Health Informatics

Are you thinking about attending graduate school? Are you open to learning about emerging career areas in which you can leverage your undergraduate courses in healthcare or computer science?

On Tuesday, October 27, 2020, at 6:00 p.m., via online Zoom meeting, the Health Informatics Master of Science and Accelerated Master’s programs will present a virtual info session for current students.

Please pre-register for the free info session here.

From the general to the specific, the info session will cover what you need to know about applying for and completing a Health Informatics master’s degree at Michigan Tech.

Attendees will consider the benefits of an advanced degree, learn about the fast-track accelerated master’s program, review the the online application process, and more.

Associate Professor Guy Hembroff, Health Informatics graduate program director, and Jacque Smith, director of Enrollment Services for the Michigan Tech Graduate School, will host the info session.

A link to the virtual info session will be shared shortly.

The Michigan Tech College of Computing welcomed six new faculty members this fall to the Departments of Applied Computing and Computer Science.

College of Computing Dean Adrienne Minerick says the new hires reflect the early growth of the new College, which was launched July 1, 2019.

“We are thrilled to welcome these six talented new faculty members,” Minerick says. “Even amid the challenges we are all facing, our proactive recruitment and retention activities are making a difference.”

Assistant Professor Briana Bettin, Computer Science, has a Ph.D. in computer science from Michigan Tech. She is also an affiliated assistant professor for the Cognitive and Learning Sciences department. Bettin’s research interests include user experience; human factors; human-computer interactions; mental models; information representation; rural digital literacy; education, engagement, and retention; and digital anthropology. Bettin is a member of the ICC’s Computing Education Center.

Assistant Professor Sidike Paheding, Applied Computing, has a Ph.D. in eelectrical engineering from University of Dayton, Ohio. Prior to joining Michigan Tech Paheding was a visiting assistant professor at Purdue University Northwest. His research interests include image/video processing, machine learning, deep learning, computer vision, and remote sensing. Paheding is a member of the ICC’s Center for Data Sciences.

Assistant Professor Junqiao Qiu, Computer Science, has a
Ph.D. in computer science and engineering from University of California Riverside. His research focuses on parallel computing, programming systems, and compiler optimization. Qiu is a member of the ICC’s Center for Scalable Architectures and Systems.

Assistant Professor Ashraf Saleem, Applied Computing, has a Ph.D. in mechatronics engineering from DeMontfort University, UK. He comes to Michigan Tech from the electrical and computer engineering department at Sultan Qaboos University, where he served the mechatronics engineering program. Ashraf will be on campus starting in the spring 2021 semester.

Saleem’s research interests are in autonomous systems, vision-based unmanned vehicles, Artificial Intelligence, control of Piezoelectric actuator, and servo-pneumatic systems.

Assistant Professor Leo Ureel, Computer Science, has a Ph.D. in computer science from Michigan Tech. He has been teaching at the college level for 10 years, and has over 20 years of industry experience. Ureel is also coordinator of the College of Computing Learning Center. Ureel is a member of the ICC’s Computing Education Center.

Ureel’s research focuses on a constructionist approach to introductory computer science that leverages code critiquers to motivate students to learn computer programming. His
areas of expertise include software engineering, computer science education, and intelligent tutoring systems.

Assistant Professor Brian Yuan, Applied Computing and Computer Science, has a Ph.D. in computer science from University of Florida. His areas of expertise include machine learning, security and privacy, and cloud computing. Yuan is a member of the ICC’s Center for Cybersecurity and Center for Data Sciences.

Associate Professor Guy Hembroff, director of Michigan Tech’s Health Informatics graduate program, presented an invited virtual talk to physicians, residents, and medical students at the Bahiana Medical School, Salvador, Brazil, on September 25, 2020.

Hembroff spoke about, “The Challenges and Opportunities of Artificial Intelligence in Disease Prevention and Monitoring.”

BAHIANA (Bahia School of Medicine and Public Health) is a private, nonprofit, educational, cultural, scientific and healthcare institution. Its main purpose is “teaching, research and the spread of knowledge and special services in the fields of health, science and culture in general.” Learn more here.

The College of Computing and the Institute of Computing and Cybersystems (ICC) are the subjects of an article published today (Sept. 2, 2020) on HostingAdvice.com, a website and blog that educates visitors to the site about the world of web hosting.

The article, for which College of Computing Dean Adrienne Minerick was interviewed, provides a close look at the new College, its well-established Computer Science and Software Engineering degree programs (BS, MS, and Ph.D.), new Cybersecurity and Mechatronics undergraduate programs, as well as faculty research and the ICC.

Special emphasis is placed on the Computer Network and Systems Administration undergraduate degree program, in which students prepare for careers as network and computer systems administrators, commonly referred to as a “sysadmins.”

Read the full article here.

“Our readers know that a lot goes into finding the best providers of shared, dedicated, and virtual private servers,” said Sean Garrity, managing editor at HostingAdvice.com. “The article provides information about how to prepare if you want to to break into the industry as a professional, not just a consumer.”

The Michigan Tech Vice President for Research office has announced the Spring 2020 Research Excellence Fund (REF) awards.

Among the recipients is Assistant Professor Weihua Zhou, Applied Computing/Health Informatics, who received a Portage Health Foundation Research Seed Grant.

Zhou’s areas of expertise include image processing and computer vision, machine learning, medical image analysis, health informatics, and text mining.

The proposed project represents Zhou’s continuous research on cardiac resynchronization therapy for patients with heart failure.

His co-investigators are Associate Professor Qing-Hui Chen, M.D., Kinesiology and Integrative Physiology, and Timothy Havens, the William and Gloria Jackson Associate Professor, College of Computing.

Ph.D. candidate Zhuo He, College of Computing, is a research assistant on the project. Rudy Evonich, MD, a cardiologist with the Department of Cardiology at UP Health System Marquette, Mich., is a clinical consultant.

Read the Tech Today announcement here.

Learn more about Michigan Tech REF awards here.

Effective July 1, 2020, the Department of Applied Computing (AC) will open for business as Michigan Tech’s newest academic department, and the second department of the College of Computing. Daniel R. Fuhrmann, Dave House Professor of Computer Engineering, has been named the interim chair of the new department, for a period of one year.

The Applied Computing department administers undergraduate bachelor of science programs in Computer Network and System Administration (CNSA), Electrical Engineering Technology, and soon a new B.S. in Mechatronics (pending final approval by the Michigan Tech Board of Trustees and the state of Michigan). Applied Computing also shares responsibility, with the Department of Computer Science, for the B.S. in Cybersecurity, which began enrolling students in Fall 2019

On the graduate side, the Applied Computing Department hosts the Master of Science in Health Informatics and the Master of Science in Mechatronics, which also started in Fall 2019. In addition to teaching AC program courses, faculty in the new department will pursue research in a variety of areas where computers and computing play a major role, including cybersecurity, mechatronics, health informatics, and machine learning.

Fuhrmann notes, “I am delighted to be a part of the continued growth of the College of Computing, and to do what I can to get our new department up and running. I believe that the Department of Applied Computing makes the CC unique among similar colleges nationwide, and gives Michigan Tech a distinctive edge.”

Key goals for the interim chair position, identified during the nomination and selection process, include strategically increasing the visibility of and enrollment in in Department of Applied Computing degree and certificate programs, and supporting and strengthening collaborative, interdisciplinary, and interdepartmental relationships in curriculum and research.

“I think I speak for others when I express how extremely appreciative I am of Dan’s willingness to contribute to the growth and success of the College of Computing over the last year, and his further willingness to agree to serve as department chair during this particularly challenging time,” says Adrienne Minerick, dean of the College of Computing.

“Dan has repeatedly proven to be an excellent team member who is willing to do the work to support the greater good of our teams in the CC. By stepping forward into unfamiliar tasks as is needed and framing most things as opportunities, he helps bring out the best in our team.”

Fuhrmann says that the new department will continue to deliver strong programs in the AC department’s areas of primary responsibility, and he hopes to increase synergies among the various groups within the department, for instance, looking at how cybersecurity and mechatronics work together in industrial control systems.

Growth in the Health Informatics graduate program is also anticipated, and Fuhrmann notes that the need for trained, talented health informatics professionals has never been more apparent than it is right now.

“In addition to what we will be doing internally, I hope to build a culture of collaboration and cooperation with other Michigan Tech departments that have an interest in computing applications, both inside and outside the College of Computing. We have a lot to offer,” Fuhrmann says.

For more information about the Department of Applied Computing as it becomes available link here.

The College of Computing presented a Convocation Ceremony on May 1, 2020, to honor and recognize Spring and Summer 2020 graduates. At the virtual event, undergraduate student achievement awards were announced, graduates were congratulated, and faculty and staff congratulatory videos were viewed.

Michigan Tech Computer Science alumnus Brian VanVoorst ’93 presented the Convocation address. VanVoorst is a Lead Scientist at BBN Technologies, a member of BBN’s Distinguished Scientists, and a Raytheon Technologies Fellow.

The College’s inaugural class of 109 graduates comprises 5 doctor of philosophy, 14 master of science, and 90 bachelor of science degrees. The College of Computing Class of 2020 is nearly 20% women, 27% of the class graduated with honors, and the average undergraduate GPA is 3.28.

View the Convocation video below and on YouTube.

Play – College of Computing Convocation 2020

See a lists of all the graduates here. Two undergraduates completed dual majors: Lucas Catron, who majored in Computer Science and Humanities, and Mark Heinonen, Electrical Engineering Technology and Audio Productions and Technology.

View faculty and staff congratulatory videos, read student and faculty profiles, and discover all things Class of 2020, on the College of Computing webpage: mtu.edu/computing/class-of-2020.

The Department of Computer Science awarded Class of 2020 undergraduate awards to the following Computer Science (CS) and Software Engineering (SE) graduates:
Christina Anderson, CS: Award for Excellence in Teaching
Keith Atkinson, CS: Award for Exceptional Community Service and Leadership
Dean Bassett, CS: Award for Excellence in Teaching
Jack Bergman, CS: Award for Exceptional Leadership
Lucas Catron, CS: Award for Excellence in Teaching
Crystal Fletcher, CS: Award for Excellence in Teaching
Chris Holmes, CS: Award for Excellence in Teaching
Mads Howard, CS: Award for Excellence in Teaching
Jacob Jablonsky, SE: Award for Excellence in Teaching, Award for Excellence in Teaching
Maddie Le Clair, SE: Award for Exceptional Leadership
Amy Slabbekoorn, CS: Award for Excellence in Teaching
Emily Winkleman, CS: Award for Excellence in Teaching
Parker Young, SE: Award for Exceptional Leadership and Teaching, Award for Excellence in Teaching

Award for Exceptional Community Service and Leadership: Keith Atkinson
Keith has helped older adults in the Houghton community become comfortable with digital technology through one on one tutoring through the BASIC (Building Adult Skills in Computing) program. He taught several cohorts of middle school students about computer programming through the Copper Country Coders organization, and served as president of that organization. Keith developed and deployed a food inventory system for the Husky Food Access Network, which helps combat hunger issues on Tech’s campus.

Award for Exceptional Leadership: Jack Bergman
Jack has served as the president of MTU RedTeam, a student organization dedicated to promoting cybersecurity education among Tech students. Under his leadership, RedTeam organized students to participate in national cybersecurity competitions. In Fall 2019, the MTU Red Team was ranked 8th out of 689 in the NCL cyber competition. Jack led RedTeam to host a cybersecurity competition at MTU in Spring 2020, which attracted 35 students competing on 15 different teams.

Award for Exceptional Leadership: Maddie LeClair
Maddie has been a highly effective leader of the Women in Computing Sciences (WiCS) student organization.  Under her leadership, the group has increased its visibility, holding regular events on campus to highlight the opportunities for women in computing fields.  She led the effort for the WiCS group to become affiliated as an ACM-W chapter, and she has been active in supporting departmental efforts to diversify our undergraduate student body, both individually and as a leader of WiCS.

Award for Exceptional Leadership and Teaching: Parker Young
Parker served as president of not one, but two student organizations: Copper Country Coders and the Michigan Tech Pep Band.  Under his leadership, the Coders group made great strides in its organization and sustainability through revising its charter. Parker is passionate about teaching others, whether it is young students learning to mod Minecraft at Copper Country Coders or older adults learning to Zoom with their families in the BASIC program.  His leadership skills also facilitated his Senior Design team’s  successful completion of the Dragonfly app, an offline app developed for the North Carolina Natural History Museum’s after-school program to assist children monitoring the weather and counting dragonflies.

Award for Excellence In Teaching: Christina Anderson, Crystal Fletcher, Chris Holmes | Mads Howard, Jacob Jablonsky, Parker Young
Christina, Crystal, Chris, Mads, Jacob, and Parker have been mainstays at the College of Computing Learning Center, which provides peer assistance for Michigan Tech students in their computing studies. Learning Center coaches help students from a wide range of backgrounds in a wide array of topics, and must be able to quickly assess and deploy the right tutoring strategy for the situation.

Award for Excellence In Teaching: Dean Bassett, Lucas Catron, Jacob Jablonsky, Amy Slabbekoorn, Emily Winkleman
Dean, Lucas, Jacob, Amy, and Emily have served as lab assistants for our introductory courses. These programming labs are where some of the most important learning moments happen for our beginning students. Lab assistants play a crucial role in providing peer support and guidance. These four individuals have shown great commitment, compassion, and patience in this role.

The CMH Division presented Class of 2020 undergraduate awards to the following students:
Michael Dabish: Outstanding CNSA Graduate Award for exceptional performance as a research and laboratory assistant.
Bernard Kluskens: Outstanding CNSA Graduate Award for exceptional performance as a teaching assistant.
Gary Tropp: Outstanding CNSA Graduate Award, for excellent student academic mentoring in the College of Computing Learning Center.
Emma Davidson: Outstanding EET Graduate Award for exceptional service as a laboratory assistant and grader.
Mark Heinonen: Outstanding EET Graduate Award for an exceptional Senior Design project in audio system design.
Spencer Thompson: Outstanding EET Graduate Award for exceptional service as a teaching assistant in the transition to remote instruction.

Outstanding CNSA Graduate Award: Michael Dabish
For exceptional performance as a research and laboratory assistant. 
Michael’s work in the lab has been very helpful in fulfilling our needs to provide the best lab environment for students. He has shown that he is always willing to put in the work necessary to get the job done.
In 2018 Michael became a research/teaching assistant, working with the CNSA faculty on two NSA grants to create and update course content regarding cyber ethics and cybersecurity.
Michael is constantly collaborating with CNSA faculty and students to discover new ways to implement popular technologies in system administration and security.
He has even created a YouTube channel to document and share methods of implementing these technologies.
What Michael learned in these jobs has inspired him to pursue graduate school in the hope of becoming a teacher right here at Michigan Tech.

Outstanding CNSA Graduate Award: Bernard Kluskens
For exceptional performance as a teaching assistant.
Bernard was teaching assistant for four classes taught by Todd Arney, who nominated Bernard for this award.  Arney says Bernard took the lead on answering lab questions, and then even made calendar appointment slots for students to get one-on-one help using Zoom online. Arney says he would not have been able to manage his  classes with Bernard’s help with grading, fielding questions, and reviewing material before posting to Canvas.

Outstanding CNSA Graduate Award: Gary Tropp
For excellent student academic mentoring in the College of Computing Learning Center.
Gary is the first CNSA student to work as a “Student Academic Mentor” (SAM) in the new “College of Computing Learning Center” (CCLC), offering in person one-on-one help with two of the lab intensive classes in the CNSA program and then even continuing to offer online personalized help for students.

Outstanding EET Graduate Award: Emma Davidson
For exceptional service as a laboratory assistant and grader.
Emma has been helping faculty and students in the lab for over three years, and she also helped with “texting day” to reach out to prospective students.

Outstanding EET Graduate Award: Mark Heinonen
For an exceptional Senior Design project in audio system design.
Mark designed a 4-way passive electrical circuit specifically tuned for a pair of loudspeakers he created as part of his Audio Production and Technology degree.  He started out with a design based on the latest in digital signal processing, but in the end he discovered the value in “old school” analog electrical circuits built from resistors, capacitors, and inductors – what used to be considered mainstream electrical engineering but is now something of a lost art.

Outstanding EET Graduate Award: Spencer Thompson
For exceptional service as a teaching assistant in the transition to remote instruction.
Spencer has been lab assistant for most, if not all of the EET labs. He was nominated for this award by new faculty member Jungyun Bae, who pointed out his dedication to helping students with labs and homework in the EET data acquisition course. After mid-semester, Spencer actively helped the students during lab hours through emails and Zoom meetings. He also took videos of all the labs left within the semester when we transferred into remote instruction and, thanks to him, the course went smoothly even after the campus was locked down.

Honors Graduates: These Department of Computer Science students graduated with honors.
Christina Anderson, CS, Magna Cum Laude
Isaac Appleby, CS, Magna Cum Laude
Daniel Carrara, CS, Magna Cum Laude
Lucas Catron, CS, Magna Cum Laude
Zach Dill, CS, Cum Laude
Peter Dukes, CS, Magna Cum Laude
Trevor Good, CS, Magna Cum Laude
Ethan Hegg, CS, Cum Laude
Mads Howard, CS, Magna Cum Laude
Sophia Jensen, CS, Cum Laude
Derek Kamin, CS, Magna Cum Laude
Alex Larkin, CS, Cum Laude
Maddie LeClair, SE, Cum Laude
James Michniewicz, CS, Summa Cum Laude
Michael Munoz, CS, Summa Cum Laude
Dante Paglia, CS, Summa Cum Laude
Brandon Paupore, SE, Cum Laude
Elijah Potter, CS, Cum Laude
Emily Winkleman, CS, Cum Laude
Kieran Young, CS, Cum Laude
Parker Young, SE, Magna Cum Laude

Honors Graduates: These CMH Division students graduated with honors:
Dina Falzarano, CNSA, Cum Laude
Timothy Graham, CNSA, Cum Laude
Mark Heinonen, EET, Cum Laude
Andrew Hitchcock, CNSA, Magna Cum Laude
Chris Koch, CNSA, Summa Cum Laude
Zack Metiva, CNSA, Magna Cum Laude
Joshua Peter, CNSA, Magna Cum Laude
Spencer Thompson, EET, Cum Laude

Dear College of Computing Students, Families, and Friends:

In all our daily tasks and interactions, Michigan Tech and the College of Computing remain closely focused on delivering to you the best possible educational experience; we are also mindful of your over-all health and well being. We wish to do as much as we possibly can to help you successfully complete this semester, and guide and support you on your way to finishing your degree.

We’ve compiled some of the many University and community resources available to you below. All kinds of help, support, and kindness is out there, and everyone is eager to assist in this uncertain time.

You are invited to contact Dean Minerick, and any of us in Computing and across campus, with your questions and concerns, large or small.

Academic Leadership
Adrienne Minerick, Dean: minerick@mtu.edu
Dan Fuhrmann, Director, MERET/CMH/Applied Computing: fuhrmann@mtu.edu
Linda Ott, Chair, Computer Science: linda@mtu.edu

Undergraduate Academic Advisors
Denise and Kay, The College of Computing’s academic advisors, are on duty and available by email, phone, and Zoom.
Denise Landsberg, Computer Science, Software Engineering: dllandsb@mtu.edu
Kay Oliver, CNSA, Cybersecurity, EET, Mechatronics, Health Informatics: koliver@mtu.edu
Advising Website:

Faculty and Staff
We hope that you always feel welcome to contact your instructors and mentors with questions, concerns, and help with an assignment. We are all standing by to help you successfully complete this semester, prepare for summer and fall classes, and get ready for for spring graduation.
Find all the Computing faculty here. Find the Computing staff here.

Finally, Michigan Tech and the College of Computing are continually populating and updating our websites and blogs with the latest news.

College of Computing Blog
Facebook
Twitter
Instagram
Linked In
University News

A few more links:

Husky Emergency Fund Application

Get the latest information and updates regarding Michigan Tech’s response to COVID-19 at mtu.edu/covid-19. View updates to this alert.

Meal Packets are available 24 hours a day, 7 days a week at Public Safety and Police Services.

The Dean of Students Office has compiled a comprehensive list of emergency resources for students.

Students who are experiencing unforeseen financial emergencies can apply for assistance.

More Student Resources.

Study Abroad and COVID-19.

FAQs from Facilities Management.

Info for Michigan Tech employees.

Info for Michigan Tech faculty.

Faculty/Researcher Profile: Weihua Zhou, Multi-Disciplinary Digital Healthcare Solutions

By Karen Johnson, Communications Director, College of Computing and Institute of Computing and Cybersystems

How can the cost-effectiveness of healthcare be improved, especially for complicated chronic diseases? This is the overarching question Dr. Weihua Zhou is seeking to answer with his research. The multi-disciplinary solutions he is investigating merge the fields of medical imaging and informatics, computer vision, and machine learning. 

An assistant professor in Michigan Tech’s Health Informatics program, and an affiliated associate professor in the Biomedical Engineering department, Zhou is working with students on a number of research projects in Michigan Tech’s Medical Imaging and Informatics Lab, which he directs. He is a member of the Institute of Computing and Cybersystems’s Center for Data Science.

Zhou says his research is driven by clinical significance, and he is especially interested in developing practical solutions to improve the cost-effectiveness of treating complicated chronic diseases, such as coronary artery disease, heart failure and senile dementia. 

He is excited about his career, his international research, and his work at Michigan Tech. “We have a very productive team, including dedicated Ph.D. students, self-motivated graduate and undergraduate students, and a lot of experienced clinical and technical collaborators,” he says of his colleagues and collaborators at Michigan Tech and around the world.

Zhou feels that he can be dedicated to both his research and teaching at Michigan Tech. “I joined the Health Informatics program at Michigan Tech, both because health informatics is my research focus, and because Michigan Tech’s leading reputation among engineering schools opens opportunities to find new and respected technical collaborators. 

Zhou often calls himself a salesman. “I sell techniques to our clinical collaborators and ask them to design the projects with me, provide the patient data, and test our tools,” he explains. “I also sell my ideas about clinical problems to technical collaborators and ask them to work with us to solve the important clinical problems.”

And when he communicates with his Ph.D. students, “sometimes I also consider them as my buyers and let them appreciate my ideas so that they can be really inspired.”

Primary Research

Zhou identifies two of his research projects of as primary. 

“This first is exploring image-guided approaches to improving the treatment of heart failure, which has been supported by AHA grants, and is now being supported by a new faculty startup grant,” Zhou says. “The second main project is seeking to employ machine learning to improve the risk stratification for osteoporosis, which is supported by a National Institutes of Health (NIH) subcontract award from Tulane University.”

On the NIH grant, awarded in December 2019, Zhou is working with internationally renowned researcher and educator Dr. Hong-Wen Deng, an endowed chair and professor in the School of Public Health and Tropical Diseases at Tulane University, New Orleans, La. Zhou and Deng are studying trans-omics integration of multi-omics studies for male osteoporosis.

Zhou is also co-PI with Jinshan Tang, professor of Applied Computing (eff. 7/1/20) at Michigan Tech, on a Portage Health Foundation Infrastructure Enhancement Grants titled, “High Performance Graphics Processing Units.” The project is focused on building big data computing capabilities toward advancing research and education. Several additional proposals are under review and revision. Zhou’s past research support includes an American Heart Association award, which studied a new image-guided approach for cardiac resynchronization therapy.

Teaching and Mentoring

Zhou, who started at Michigan Tech in fall 2019, instructed Introduction to Health Informatics in the fall semester, and Applied Artificial Intelligence in Health this spring.  He says that in the Medical Informatics program, the subjects he teaches are very practical.

“I believe the following strategies are very important and I practice them in my classes every day: 1) Make the class interactive; 2) Make the assignments and projects practical; 3) Emphasize the learning process; and 4) Keep the teaching materials up to date,” Zhou says.

Zhou supervises two Ph.D. candidates in the Department of Applied Computing, and a Health Informatics master’s student.

Applied Computing Ph.D. candidate Zhuo He’s primary research project concerns information fusion between electrical signal propagation and mechanical motion to improve the treatment of heart failure. Ph.D. candidate Chen Zhao’s primary research concerns using image fusion and computer vision to improve interventional cardiology. And Zhou’s Health Informatics master’s student, Rukayat Adeosun, is studying nuclear image-guided approaches to improving cardiac resynchronization therapy.

Education and Post-Doc

Zhou was awarded his Ph.D. in computer engineering by the Department of Electrical and Computer Engineering at Southern Illinois University Carbondale in 2012; his dissertation is titled, “Image reconstruction and imaging configuration optimization with a novel nanotechnology enabled breast tomosynthesis multi-beam X-ray system.”

Following, Zhou was a post-doctoral researcher in the Department of Radiology and Imaging Sciences at Emory University, Atlanta, Georgia, then he was appointed a Nina Bell Suggs Endowed Professor at University of Southern Mississippi, where he was a tenure-track assistant professor. Zhou also completed an MSc.-Ph.D. in computer science (2007) and a B.E. in computer science and technology (2003), both at Wuhan University, China.

Achievement

Zhou received the USM College of Arts and Sciences Scholarly Research Award in March 2019, participated in the AHA Research Leaders Academy of the American Heart Association in September 2017 and August 2018, and received the USM Butch Oustalet Distinguished Professorship Research Award in April 2018.

University and Professional Service

Zhou serves on Michigan Tech’s Review Committee for Graduate Dean’s Awards Advisory Committee, and in October 2019 he served on the Review Committee for Research Excellence Fund (REF) – Research Seed Grants (RS).

He was an invited speaker at the Machine Learning in SPECT MPI Applications session at the Annual Scientific Session of the American Society of Nuclear Cardiology in Washington, D.C., in 2009.

Zhou is a member of the American Heart Association (AHA) and the American Society of Nuclear Cardiology (ASNC).

Peer-Review

Since Zhou joined Michigan Tech in August 2019, he has published five scholarly papers, in Journal of Nuclear Cardiology and the IEEE Journal of Translational Engineering in Health and Medicine. Two additional articles are under revision with Journal of Nuclear Cardiology and the journal Medical Physics, and one is under review by the Medical Image Computing and Computer Assisted Intervention (MICCAI) Conference 2020.

Since 2007, he has published more than 80 peer-reviewed journal and conference papers and book chapters in publications including JACC: Journal of The American College of Cardiology: Cardiovascular Imaging, Journal of Nuclear Cardiology, and IEEE Journal of Translational Engineering in Health and Medicine.

Zhou is a translator of featured papers and abstracts for the Journal of Nuclear Cardiology, and a paper reviewer for the Journal of Nuclear Cardiology, JACC: Journal of The American College of Cardiology, and JACC: Cardiovascular Imaging. He is a reviewer for American Heart Association data science grants. 

Commercial Success

Zhou holds a number of patents and invention disclosures, including new methods to 1) diagnose apical hypertrophic cardiomyopathy from gated single-photon emission computed tomography (SPECT), and 2) measure right-ventricular and interventricular mechanical dyssynchrony from gated single-photon emission computed tomography (SPECT) myocardial perfusion imaging (MPI); and 3) the integration of fluoroscopy venogram and myocardial perfusion SPECT image with left-ventricular contraction sequence and scar distribution to guide the real-time surgery of cardiac resynchronization therapy. 

He and his colleagues have developed a number of software tools, some of which are being used in hospitals for research purposes, and he believes that the tools can be successfully validated and become commercially available. For example, Zhou’s nuclear image-guided software toolkit to improve cardiac resynchronization therapy is being validated by a large clinical trial. 

A personal note.

Zhou loves independent thinking, facts and exact numbers, and he values persistence, all of which express themselves in his teaching and research, and his life.

Follow Weihua Zhou on Twitter: @LabMiil

The College of Computing Department of Applied Computing will officially replace the CMH Division effective July 1, 2020.

The Laboratory of Medical Imaging and Informatics is seeking volunteer Research Assistants.

Are you looking for an exciting research experience in applied artificial intelligence and medical imaging/informatics? The MIIL Lab (Laboratory of Medical Imaging and Informatics) is hiring. We’re focused on developing new computer methods and techniques to solve significant healthcare problems and improve clinical practice.

Visit https://pages.mtu.edu/~whzhou/ for more information about our research projects.  Please see the attached flyer, below.  For more information, contact Weihua Zhou at whzhou@mtu.edu.

Under the guidance of the director, senior research assistants and clinical collaborators, Volunteer Research Assistants will conduct literature reviews, develop and validate software methods and tools, validate with computer simulations and patient data, analyze study data, prepare manuscripts, apply for student research fellowships, and more.

Both undergraduate and graduate students are welcome to apply.  For a more complete job description or to submit application materials, email whzhou@mtu.edu.

Lab Director: Weihua Zhou, Ph.D.

Locations:

• Rekhi #109 @Michigan Tech (office)
• Rekhi #324 @Michigan Tech (lab)

Required Qualifications:

• Passion for science/ engineering and healthcare.
• Strong academic performance with an intended major in computer science/ engineering, biomedical engineering, medical informatics, or electrical engineering. Postbaccalaureate students are also encouraged to apply.
• Experience with any programming language.
• Ability to work at lab on campus 8 hours each week
• One-year commitment.
• Strong willingness to learn new and challenging analytical methods.
• Excellent communication skills.

Desired Qualifications:

• Ability to work independently.
• Interest in learning more about medical image analysis, machine learning/ deep learning, and/or natural language processing.
• Proficiency with Python or MATLAB.

Required Application Materials (unofficial copies are accepted): 

• Cover letter and CV/resume
• Most recent academic transcript

Download the Research Assistant Flyer