Institute of Computing and Cybersystems (ICC) Blog

Category: Research

Beth Veinott to Present Lecture February 12, 3 pm

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The Department of Computer Science will present a lecture by Dr. Elizabeth Veinott on Friday, February 12, 2021, at 3:00 p.m.

Veinott is an associate professor in the Cognitive and Learning Sciences department. She will present, “Beyond the system interface: Using human-centered design to support better collaborative forecasting.”

Speaker Biography

Elizabeth Veinott is a cognitive psychologist working in technology-mediated environments to improve decision making, problem solving and collaboration. She directs Michigan Tech’s Games, Learning and Decision Lab and is the lead for the Human-Centered Computing group of Michigan Tech’s Institute of Computing and Cybersystems (ICC).

She has been active in the ACM’s SIGCHI and on the conference organizing committees for CHI Play and CSCW. Prior to joining Michigan Tech in 2016, she worked as a principal scientist in an industry research and development lab and as a contractor at NASA Ames Research Center. Her research has been funded by NIH, Army Research Institute, Army Research Lab, Air Force Research Laboratory, and IARPA.

Lecture Abstract

Teams use technology to help them make judgments in a variety of operational environments. Collaborative forecasting is one type of judgment performed by analyst teams in weather, business, epidemiology, and intelligence analysis. Research related to collaborative forecasting has produced mixed results.

In her talk, Veinott will describe a case of using cognitive task analysis to develop and evaluate a new forecast process and tool. The method captured analysts’ mental models of game-based forecasting problems, and allowed the process to co-evolve with the system design. The tool was tested in a simulation environment with expert teams conducting analyses over the course of hours and compared to a control group. Challenges and lessons learned will be discussed, including implications for human-centered design of collaborative tools.

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Sidike Paheding Wins MDPI Electronics Best Paper Award

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A scholarly paper co-authored by Assistant Professor Sidike Paheding, Applied Computing, is one of two papers to receive the 2020 Best Paper Award from the open-access journal Electronics, published by MDPI.

The paper presents a brief survey on the advances that have occurred in the area of Deep Learning.

Paheding is a member of the Institute of Computing and Cybersystems’ (ICC) Center for Data Sciences (DataS).

Co-authors of the article, “A State-of-the-Art Survey on Deep Learning Theory and Architectures,” are Md Zahangir Alom, Tarek M. Taha, Chris Yakopcic, Stefan Westberg, Mst Shamima Nasrin, Mahmudul Hasan, Brian C. Van Essen, Abdul A. S. Awwal, and Vijayan K. Asari. The paper was published March 5, 2019, appearing in volume 8, issue 3, page 292, of the journal.

View and download the paper here.

Papers were evaluated for originality and significance, citations, and downloads. The authors receive a monetary award , a certificate, and an opportunity to publish one paper free of charge before December 31, 2021, after the normal peer review procedure.

Electronics is an international peer-reviewed open access journal on the science of electronics and its applications. It is published online semimonthly by MDPI.

MDPI, a scholarly open access publishing venue founded in 1996, publishes 310 diverse, peer-reviewed, open access journals.

Paper Abstract

In recent years, deep learning has garnered tremendous success in a variety of application domains. This new field of machine learning has been growing rapidly and has been applied to most traditional application domains, as well as some new areas that present more opportunities. Different methods have been proposed based on different categories of learning, including supervised, semi-supervised, and un-supervised learning. Experimental results show state-of-the-art performance using deep learning when compared to traditional machine learning approaches in the fields of image processing, computer vision, speech recognition, machine translation, art, medical imaging, medical information processing, robotics and control, bioinformatics, natural language processing, cybersecurity, and many others.

This survey presents a brief survey on the advances that have occurred in the area of Deep Learning (DL), starting with the Deep Neural Network (DNN). The survey goes on to cover Convolutional Neural Network (CNN), Recurrent Neural Network (RNN), including Long Short-Term Memory (LSTM) and Gated Recurrent Units (GRU), Auto-Encoder (AE), Deep Belief Network (DBN), Generative Adversarial Network (GAN), and Deep Reinforcement Learning (DRL). Additionally, we have discussed recent developments, such as advanced variant DL techniques based on these DL approaches. This work considers most of the papers published after 2012 from when the history of deep learning began.

Furthermore, DL approaches that have been explored and evaluated in different application domains are also included in this survey. We also included recently developed frameworks, SDKs, and benchmark datasets that are used for implementing and evaluating deep learning approaches. There are some surveys that have been published on DL using neural networks and a survey on Reinforcement Learning (RL). However, those papers have not discussed individual advanced techniques for training large-scale deep learning models and the recently developed method of generative models.

Sidike Paheding
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Susanta Ghosh Publishes Paper in APS Physical Review B Journal

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Assistant Professor Susanta Ghosh, ME-EM, has published the article, “Interpretable machine learning model for the deformation of multiwalled carbon nanotubes,” in the APS publication, Physical Review B.

Co-authors of the paper are Upendra Yadav and Shashank Pathrudkar. The article was published January 11, 2021.

Ghosh is a member of the Institute of Computing and Cybersystems’ Center for Data Sciences.

Article Abstract

In the paper, researchers present an interpretable machine learning model to predict accurately the complex rippling deformations of multiwalled carbon nanotubes made of millions of atoms. Atomistic-physics-based models are accurate but computationally prohibitive for such large systems. To overcome this bottleneck, we have developed a machine learning model. The proposed model accurately matches an atomistic-physics-based model whereas being orders of magnitude faster. It extracts universally dominant patterns of deformation in an unsupervised manner. These patterns are comprehensible and explain how the model predicts yielding interpretability. The proposed model can form a basis for an exploration of machine learning toward the mechanics of one- and two-dimensional materials.

APS Physics advances and diffuses the knowledge of physics for the benefit of humanity, promote physics, and serve the broader physics community.

Physical Review B (PRB) is the world’s largest dedicated physics journal, publishing approximately 100 new, high-quality papers each week. The most highly cited journal in condensed matter physics, PRB provides outstanding depth and breadth of coverage, combined with unrivaled context and background for ongoing research by scientists worldwide.

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New NSF Project to Improve Great Lakes Flood Hazard Modeling

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Thomas Oommen, Timothy C. Havens, Guy Meadows (GLRC), and Himanshu Grover (U. Washington) have been awarded funding in the NSF Civic Innovation Challenge for their project, “Helping Rural Counties to Enhance Flooding and Coastal Disaster Resilience and Adaptation.”

The six-month project award is $49,999.

Vision. The vision of the new project is to develop methods that use remote sensing data resources and citizen engagement (crowdsourcing) to address current data gaps for improved flood hazard modeling and visualization that is transferable to rural communities.

Objective. The objective of the Phase-1 project is to bring together community-university partners to understand the data gaps in addressing flooding and coastal disaster in three Northern Michigan counties.  

The Researchers

Thomas Oommen is a professor in the Geological and Mining Engineering and Sciences department. His research efforts focus on developing improved susceptibility characterization and documentation of geo-hazards (e.g. earthquakes, landslides) and spatial modeling of georesource (e.g. mineral deposits) over a range of spatial scales and data types. Oommen is a member of the ICC’s Center for Data Sciences.

Tim Havens is associate dean for research, College of Computing, the
William and Gloria Jackson Associate Professor of Computer Systems, and director of the Institute of Computing and Cybersystems. His research interests include mobile robotics, explosive hazard detection, heterogeneous and big data, fuzzy sets, sensor networks, and data fusion. Havens is a member of the ICC’s Center for Data Sciences.

Guy Meadows is director of the Marine Engineering Laboratory (Great Lakes Research Center), the Robbins Professor of Sustainable Marine Engineering, and a research professor in the Mechanical Engineering-Engineering Mechanics department. His research interests include large scale field experimentation in the Inland Seas of the Great Lakes and coastal oceans; nearshore hydrodynamics and prediction; autonomous and semi-autonomous environmental monitoring platforms (surface and sub-surface); underwater acoustic remote sensing; and marine engineering.

Himanshu Grover is an asssistant professor at University of Washington. His research focus is at the intersection of land use planning, community resilience, and climate change.

About the Civic Innovation Challenge

The NSF Civic Innovation Challenge is a research and action competition that aims to fund ready-to-implement, research-based pilot projects that have the potential for scalable, sustainable, and transferable impact on community-identified priorities.

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Health Research Institute Panel Is January 25, 12 pm

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Michigan Tech’s Health Research Institute (HRI) will host a panel discussion on Monday, January 25, 2021,, from 12:00 to 1:00 p.m.

Health research at Michigan Tech has been steadily growing for over 10 years. This growth has led to many practical uses for the technology developed.  Three researchers, Dr. Megan Frost (Kinesiology and Integrative Physiology), Dr. Bruce Lee (Biomedical Engineering), and Assistant Professor Dr. Weihua Zhou (College of Computing) will discuss their experiences with start-ups and applying their research to relevant health problems.

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Registration Open for Graduate Research Colloquium 2021

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by Graduate Student Government

The Graduate Student Government announces that registration for this year’s virtual Graduate Research Colloquium (GRC) is now open. Due to the continuation of the SARS-CoV-19 pandemic, the event will be held virtually to avoid any community spread from taking place.

It is gearing up to be an exciting event, and we are excited to see what everyone has to present. The GRC will be held Thursday and Friday, April 1/2. The event is a great opportunity to work on your presentation skills and prepare for upcoming conferences. Students are free to give an oral presentation, a poster talk, or both. All talks will be scored by judges from the same field as the presenter, who will give valuable insight and feedback on how you to improve the presentation.

Cash prizes are available for the top three places in both oral and poster presentations ( 1st – $300, 2nd – $200, and 3rd – $100). Registration closes at 11:59 p.m., Tuesday March 2, at 11:59 p.m. Don’t wait, register today.

Poster presentations will take place in a pre-recorded video style. Video submission deadline is March 22, 2021. A short Q&A session will take place with judges between 4-6 p.m. on April 1st.

Oral presentation will be a 12 minute talk followed by Q&A session. The event will be capped off with a virtual GRC awards ceremony. All participants and judges are invited to attend. The ceremony will be held from 5 to 7 p.m. April 2, following the close of GRC. Full information can be found on our website.

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Innovation Week is January 25-29

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by Pavlis Honors College

Innovation Week is a celebration of innovation both on and off campus. We will host talks with alumni entrepreneurs, showcase campus innovation and interactive events.

Learn about innovative research, new ventures, solutions to Covid-19 and education prototypes. Connect with alums, students and faculty. Drop in for one event or several!

Register soon to receive a Google calendar invite with Zoom link.

MTU Health Research Institute
Monday, January 25, 12:00 – 1:00 pm
Registration:  bit.ly/HRI_talk 

Health research at Michigan Tech has been steadily growing for over 10 years. This growth has led to many practical uses for the technology developed. Three researchers, Dr. Megan Frost (Kinesiology and Integrative Physiology), Dr. Bruce Lee (Biomedical Engineering), and Dr. Weihua Zhou (College of Computing) will discuss their experiences with start-ups and apply their research to relevant health problems.

Private Equity Investment for Innovation
Tuesday, January 26, 12:00 – 1:30 pm
Registration:  bit.ly/equity_for_innovation_talk

Entrepreneurs exploring financing options for their innovation, future private equity investors, and current equity investors will find this panel discussion with Michigan Tech private equity experts invaluable.  

Topics include: 

  • Private investors goals and strategies
  • The types of opportunities that investors look for
  • Business stages and when investing is appropriate
  • Terms involved
  • Exit strategies for entrepreneurs
  • Current investment trends in private investing

Panelists include: John Rockwell, Karl LaPeer, Tom Nye, and Jeff Helminski

Advanced Power Systems Research Center (APS LABS)
Wednesday, January 27, 12:00 -1:00 pm
Registration:  bit.ly/APS_talk 

Jeremy Worm of Michigan Tech’s Advanced Power Systems Research Center (APS LABS) will provide an overview of APS LABS and discuss innovative approaches to research, education, and collaboration with industry. A panel discussion with APS LABS leadership will follow the overview.

Michigan Tech’s Advanced Power Systems Research Center (APS LABS) is focused on clean power generation and nearly all aspects of mobility with emphasis on ground vehicle systems. APS LABS is a full service organization conducting fundamental research, applied research & advanced engineering, product development, and validation testing. APS LABS supports commercial partners ranging from start-ups to Fortune 100 companies, and serves in a lead, or sub-role on many government contracts with commercial partners. 

IDEA Hub Innovation Hour
Wednesday, January 27, 3:00 – 4:00 pm
Registration:  bit.ly/IDEAhub_talk 

IDEA Hub leaders will share their innovative education pilot projects and approaches to address the challenges of Education in the 21st Century.

Innovation and Collaboration at the Library Activity
Thursday, January 28, 12:00 – 1:00 pm
Registration: bit.ly/library_innovation 

Join us for a fun mixer activity at the Van Pelt and Opie Library in which we’ll see first-hand how collaboration leads to innovative solutions. Libraries are inherently interdisciplinary spaces that can serve as a jumping off point for active collaboration and innovation. Join librarians Jenn Sams and Erin Matas for a speed collaboration activity designed to let you meet new people, see a problem through a different lens, and inspire innovation. They will also share highlights about how the library supports and participates in innovative activities via a Patent & Trademark Resource Center, the 3D printers, and its innovative response to Covid-19.

Bob Mark Business Model Pitch Competition
Thursday, January 28, 5:30 – 7:30 pm
Registration:  bit.ly/HuskyInnovateBobMark

Pitch your idea and potentially win some cash! This year, we’ll be accepting two-minute idea pitches (evaluated on uniqueness and potential impact) and four-minute business model pitches (evaluated on scalability and actionable business models.) Register to compete by January 25, or join us in the audience to watch the event. Thousands of dollars worth of prizes offered!

Journey as an Entrepreneur with Hajj Flemings
Friday, January 29, 12:00 -1:00 pm
Registration: bit.ly/Hajj_Flemings_talk

Join us for a talk with entrepreneur and author Hajj E. Flemings, Michigan Tech Mechanical Engineering (‘96) alum. Hajj will share his journey as an innovator and entrepreneur. Hajj has long embraced the entrepreneurial mindset and chose Michigan Tech because he enjoyed solving problems. Hajj is the founder of Rebrand Cities, a brand strategy consulting company that serves clients such as Cadillac, Pfitzer, Walt Disney and the Detroit Lions, to name a few. Hajj authored, The Brand YU Life: Re-thinking who you are through personal brand management.

In 2011 Hajj was featured on CNN’s documentary series, “Black in America: The New Promised Land – Silicon Valley”. During filming of the series, he came to a deeper understanding of the meaning of “digital divide” for communities of color and dedicated himself to creating solutions. His insight led him to become founder and CEO of Brand Camp University, an educational platform that creates technology accessibility and supports job readiness for clients in underserved communities. In parallel, he led a new global civic design initiative within Rebrand City which focuses on eradicating the digital divide by getting 10,000 small businesses online.

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Husky Innovate Business Model Boot Camp is Today, Weds, Jan. 20

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Do you plan to pitch at the Bob Mark Business Model Competition?  

Do you have an innovative idea that you want to develop further?   

Are you interested in starting your own business or leading an innovative improvement project?   

If yes, consider attending the Business Model Boot Camp – a virtual workshop, free to Michigan Tech students.

Using the Business Model Canvas, students will work with members of the I-Corps teaching team to develop a business model for their innovation. We walk through steps involved to help you understand the relationship between your value proposition and the customers’ needs. The more clearly you understand this relationship, the better your position to launch a winning product or service.  

If you plan to compete in the Bob Mark Business Model Competition, or if you’d like to learn how to develop a business model, this workshop is for you. There is a capacity of 15 contestants for our Bob Mark Business Model Competition. Priority will be given to those who have completed the Business Model Boot Camp.

This event is hosted by Husky Innovate, a collaboration between Pavlis Honors College, the College of Business, and the Office of Innovation and Commercialization.

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Summer 2021 Finishing Fellowship Nominations Open

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by Debra Charlesworth, Graduate School

Applications for Summer 2021 finishing fellowships are being accepted and are due no later than 4 p.m., March 3, 2021 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 PhD 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 PhD 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 PhD 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 + 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.

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