Computing News Blog

A research paper by Assistant Professor Sidike Paheding, Applied Computing, is to be published in the November 2020 issue of the journal, Expert Systems and Applications.

An in-press version of the paper, “Binary Chemical Reaction Optimization based Feature Selection Techniques for Machine Learning Classification Problems,” is available online.

Paheding is a member of the ICC’s DataS research group.

Highlights

• A chemical reaction optimization (CRO) based feature selection (FS) technique is proposed.
• The proposed CRO based FS technique is improvised using particle swarm optimization.
• Performance evaluation of proposed techniques on benchmark datasets gives promising results.

Paper Abstract

Feature selection is an important pre-processing technique for dimensionality reduction of high-dimensional data in machine learning (ML) field. In this paper, we propose a binary chemical reaction optimization (BCRO) and a hybrid binary chemical reaction optimization-binary particle swarm optimization (HBCRO-BPSO) based feature selection techniques to optimize the number of selected features and improve the classification accuracy.

Three objective functions have been used for the proposed feature selection techniques to compare their performances with a BPSO and advanced binary ant colony optimization (ABACO) along with an implemented GA based feature selection approach called as binary genetic algorithm (BGA). Five ML algorithms including K-nearest neighbor (KNN), logistic regression, Naïve Bayes, decision tree, and random forest are considered for classification tasks.

Experimental results tested on eleven benchmark datasets from UCI ML repository show that the proposed HBCRO-BPSO algorithm improves the average percentage of reduction in features (APRF) and average percentage of improvement in accuracy (APIA) by 5.01% and 3.83%, respectively over the existing BPSO based feature selection method; 4.58% and 3.12% over BGA; and 4.15% and 2.27% over ABACO when used with a KNN classifier.

Expert Systems With Applications, published by Science Direct/Elsevier, is a refereed international journal whose focus is on exchanging information relating to expert and intelligent systems applied in industry, government, and universities worldwide. The journal’s Impact factor is 5.4.

Dennis Livesay will become dean of Michigan Technological University’s College of Computing on Feb. 1, 2021.

Livesay comes to Michigan Tech from Wichita State University (WSU), where he is dean of the College of Engineering and a full professor in both the Department of Chemistry and Department of Biomedical Engineering. Livesay replaces outgoing dean Adrienne Minerick.

“We are pleased to welcome Dr. Livesay to the University as our next dean of the College of Computing,” said Jacqueline Huntoon, provost and senior vice president for academic affairs. “The combination of Dr. Livesay’s prior experiences and his vision for the future of the College of Computing make him ideally suited to strengthen the College going forward.” 

“Digital transformation is impacting every industry, including engineering and manufacturing,” said Livesay. “Computing, data, connectivity, and security are already the cornerstones of the modern economy. I look forward to working with everyone in the College of Computing, and across campus, to strengthen our efforts in these areas.”

Livesay noted that, while he has been happy in his role at WSU, he saw the opportunity to lead Michigan’s only college of computing as one he could not pass up. “I really see this as a once-in-a-lifetime opportunity that — given MTU’s traditional established strength in engineering — aligns perfectly with my background,” he said. 

Livesay brings more than 20 years of experience in higher education to Michigan Tech. His career began in 2000 at California State Polytechnic University, Pomona, where he was assistant and then associate professor of chemistry. From there, he continued on to the University of North Carolina at Charlotte (UNCC), where he was a founding member of the Department of Bioinformatics and Genomics and developed two of UNCC’s most visible research programs: the bioinformatics and computational biology doctoral program and the Charlotte Research Scholars undergraduate research program.

In 2016, Livesay joined WSU as dean of the Graduate School and associate vice president of research and technology transfer before becoming dean of the College of Engineering in January 2019. Livesay’s research expertise is in the area of protein family sequence, structure and function relationships, with a particular focus on understanding how physical and chemical properties vary with evolutionary divergence. He has spent his career working across disciplinary boundaries and intends to prioritize interdisciplinary work in his role as College of Computing dean.

“The University was fortunate to attract a very strong pool of candidates during this search and I am confident that we have hired the person who will be best able to lead the College of Computing in the coming years,” said Huntoon. “I want to thank Dr. Adrienne Minerick for her tenacity and commitment to Michigan Tech. She provided outstanding leadership for the College from the day it came into existence. Because of her efforts, the College is well positioned to grow in the future.”

Born and raised in Columbus, Indiana, Livesay was a first-generation university student. He will be joined in Houghton by his wife, Lauren, and son, Maxwell. “My family and I are rabid hockey fans,” Livesay said, “and we will be huge supporters of Michigan Tech hockey. In fact, I already have an MTU jersey that I’ve started wearing during rec league.”

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.

A collaborative innovation in microfluidics reveals graduate excellence and outstanding mentorship as well as the secrets of viruses.

Michigan Tech’s Bhakta Rath Research Award honors exceptional work and collaboration between a doctoral student and their advisor. This year, chemical engineering takes the spotlight as Sanaz Habibi and Adrienne Minerick share the honor.

Habibi, who graduated in 2019, is now working on a postdoc at the University of Michigan focused on optical 3D printing anatomical parts and devices that expands on those she helped develop at Michigan Tech. Minerick, dean of the College of Computing, also has a faculty appointment in the Department of Chemical Engineering where she has studied how to use electric fields to better understand biological processes.

Viruses respond to such fields. Within a carefully constructed microfluidics device, it is possible to observe a virus attach to and infect a live cell as the inner workings turn into a viral genetics factory that eventually bursts apart. The team, whose work on observing the viral infection cycle with microfluidics was recently published in Langmuir, exemplifies nontraditional collaboration and thinking outside the box — even when their creativity centers on a three-by-one-inch microscope slide.

In this Q&A, Habibi (SH) and Minerick (AM) share details on their work and work styles. Read the Q&A at mtu.edu/news.

Assistant Professor Junqiao Qiu, Computer Science, will present his lecture, “Speculative Parallelization for FSM-centric Computations,” this Friday, Nov. 6, 2020, at 3:00 p.m., via online meeting.

Join the Zoom meeting here.

Lecture Abstract

As a fundamental computation model, finite-state machine (FSM) has been used in a wide range of data-intensive applications, including malware detection, bioinformatics, semi-structured data analytics, natural language processing and even machine learning. However, FSM execution is known to be “embarrassingly sequential” due to the state dependences among transitions. Current studies find that speculation is a promising solution to address the inherent dependencies in FSM computations and thus enables scalable FSM parallelization.
This talk will firstly introduce the fundamental scalability bottleneck in the current FSM parallelization, and then an aggressive speculation, a generalized speculation model that allows a speculated state to be validated against the result from another speculation, is proposed to address the scalability limitations. Finally, this talk will discuss the possibility to enlarge the applicability of the proposed approach and go beyond the FSM-based computations.

Juneiao Qiu is a member of the Institute of Computing and Cybersystems’ (ICC) Center for Scalable Architectures and Systems (SAS).

As a student or a researcher, a necessary component of your work is applying for a multitude of grants to obtain funding for future projects. Peter Larson, director of research development at Michigan Tech, will conduct a seminar on Grant Writing from 4 to 5  p.m. on Thursday, Nov. 12 via Zoom.

Larson specializes in creating effective grant and research proposals, particularly in the non-technical proposal sections that researchers often struggle with. Please send any topics or questions you wish to see discussed to gsg-prodev@mtu.edu so we can structure the seminar to better suit your needs.

Those who participate in the seminar will get a chance to enter a raffle draw. Space is not really limited but just so we know how many students to expect, be sure to register.

Three Minute Thesis (3MT) competition, hosted by the Graduate Student Government, will take place virtually tomorrow (Nov. 5). Come join us on an eventful day where research meets fun.

Participants are judged on their communication and presentation skills, while delivering content in just three minutes with one static PowerPoint slide.

You can watch the participants’ videos online on GSG’s 3MT website starting at 9 a.m. tomorrow.

Three Minute Thesis (3MT) competition, hosted by the Graduate Student Government, will take place virtually tomorrow (Nov. 5). Come join us on an eventful day where research meets fun.

Participants are judged on their communication and presentation skills, while delivering content in just three minutes with one static PowerPoint slide.

You can watch the participants’ videos online on GSG’s 3MT website starting at 9 a.m. tomorrow.

With 28 participants and 4 different heats, 8 finalists will be chosen for the final rounds. The judging panel consists of 3 different faculty/staff from different majors. The names of the finalists will be declared by Noon.

The contestants qualifying for the next round will compete against each other from 6 to 8 p.m. Friday (Nov. 6) in the Rozsa Center for Performing Arts.

There will be a limit of 200 patrons who can be seated in the Rozsa center to adhere to social distancing guidelines. The seating will be on a first-come-first-served basis. The event will also be streamed live on GSG’s Facebook page.

Join us in-person or virtually to enjoy the event and choose a ‘People’s Choice’ award winner. The first and second place winners will receive cash prizes of $300 and $150 respectively. Additionally, a People’s Choice (PC) award will be given to a speaker selected by the event’s audience, with a cash prize of $100. A Facebook poll and in-person voting will happen to choose this speaker.