“Nearly everyone has heard the term ‘Deep Learning’ at this point, whether to describe the latest artificial intelligence feat like AlphaGo, autonomous cars, facial recognition, or numerous other latest-and-greatest gadgets and gizmos,” says Havens. “But what is Deep Learning? How does it work? What can it really do—and how are Michigan Tech students advancing the state-of-the-art?”
In this session of Husky Bites, Prof. Havens will talk about everyday uses of machine learning—including the machine learning research going on in his lab: explosive hazards detection, under-ice acoustics detection and classification, social network analysis, connected vehicle distributed sensing, and other stuff.
Joining in will be one of Havens’ former students, Hanieh Deilamsalehy, who earned her PhD in electrical engineering at Michigan Tech. She’s now a machine learning researcher at Adobe. Dr. Deilamsalehy graduated from Michigan Tech in 2017 and headed to Palo Alto to work for Ford as an autonomous vehicle researcher. She left the Bay Area for Seattle to take a job at Microsoft, first as a software engineer, and then as a machine learning scientist. In April she accepted a new machine learning position at Adobe, “in the middle of the pandemic!”
Havens is a Michigan Tech alum, too. He earned his BS in ‘99 and MS in Electrical Engineering in ‘00, then went to the MIT Lincoln Laboratory, where he worked on simulation and modeling of the Airborne Laser System, among other defense-related projects. From there it was the University of Missouri for a PhD in Electrical and Computer Engineering, researching machine learning in ontologies and relational data.
Nowadays, Havens is the William and Gloria Jackson Associate Professor and Associate Dean for Research in the College of Computing. In addition to serving as director of Michigan Tech’s ICC, he also heads up the ICC Center for Data Sciences and runs his own PRIME Lab, too (short for Pattern Recognition and Intelligent Machines Engineering).
“An important goal for many mobile platforms—terrestrial, aquatic, or airborne—is reliable, accurate, and on-time sensing of the world around them.”Tim Havens
Havens has spent the past 12 years developing methods to find explosive hazards, working with the US Army and a research team in his lab. According to a United Nations report, more than 10,000 civilians were killed or injured in armed conflict in Afghanistan in 2019, with improvised explosive devices used in 42 percent of the casualties. Havens is working to help reduce the numbers.
“Our algorithms detect and locate explosive hazards using two different systems: a vehicle-mounted multi-band ground-penetrating radar system and a handheld multimodal sensor system,” Havens explains. “Each of these systems employs multiple sensors, including different frequencies of ground penetrating radar, magnetometers and visible-spectrum cameras. We’ve created methods of integrating the sensor information to automatically find the explosive hazards.”
As a PhD student at Michigan Tech, Deilamsalehy worked alongside Havens as a research assistant in the ECE department’s Intelligent Robotics Lab (IRLab). “My research was focused on sensor fusion, machine learning and computer vision, fusing the data from IMU, LiDAR, and a vision camera for 3D localization and mapping purposes,” she says. “I used data from a sensor platform in the IRLab, mounted on an unmanned aerial vehicle (UAV), to evaluate my proposed fusion algorithm.”
Havens is also co-advisor to students in the SENSE (Strategic Education through Naval Systems Experience) Enterprise team at Michigan Tech, along with ME-EM Professor Andrew Barnard. Students in SENSE design, build, and test engineering systems in all domains: space, air, land, sea, and undersea. Like all Enterprise teams, SENSE is open to students in any major.
Prof. Havens, when did you first get into engineering? What sparked your interest?
I first became an engineer at Michigan Tech in the late 90s. What really sparked my interest in what-I-do-now was my introductory signal processing courses. The material in these courses was the first stuff that really ‘spoke’ to me. I have always been a serious musician and the mathematics of waves and filters was so intuitive because of my music knowledge. I loved that this field of study joined together the two things that I really loved: music and math. And I’ve always been a computer geek. I was doing programming work in high school to make extra money; so that side of me has always led me to want to solve problems with computers.
Hometown, Hobbies, Family?
I grew up in Traverse City, Michigan, and came to Tech as a student in the late 90s. I’ve always wanted to come back to the Copper Country; so, it’s great that I was able to return to the institution that gave me the jump start in my career. I live (and currently work from home) in Hancock with my partner, Dr. Stephanie Carpenter (an author and MTU professor), and our two fur children, Rick Slade, the cutest ginger in the entire world, and Jaco, the smartest cat in the entire world. I have a grown son, Sage, who enjoys a fast-paced life in Traverse City. Steph and I enjoy exploring the greater Keweenaw and long discussions about reality television, and I enjoy playing music with all the local talent, fishing (though catching is a challenge), and gradually working through the lumber pile in my garage.
Dr. Deilamsalehy, how did you find engineering? What sparked your interest?
I was born and raised in Tehran, Iran. I have always been into robotics. I was a member of our robotics team in high school and that led me to engineering. I decided to apply to Michigan Tech sort of by chance when a friend of mine told me about it. I looked at the programs in the ECE department, and felt they aligned with my interests. Then soon after I first learned about Michigan Tech, I found out that one of my undergraduate classmates went there. I talked to him, and he also encouraged me to apply. And that’s how I was able to join Michigan Tech for my PhD program. My degree is in electrical engineering but my focus at Michigan Tech involved computer science and designing Machine Learning solutions.
Hobbies and Interests?
I now live in Seattle, famous for outdoor activities—kind of like the UP, but without the cold—so I do lots of mountaineering, biking, rock climbing, and in the winter, skiing. I learned how to ski at Michigan Tech, up on Mont Ripley. It’s steep, and it’s cold! Once you learn skiing on Ripley, you’re good. You can ski just about anywhere. 3
Michigan Tech recently launched a year-long Career and Technical Education (CTE) program for high school juniors or seniors in the area of Mechatronics. The new CTE Mechatronics program is offered through a partnership between Michigan Tech and the Copper Country Intermediate School District (CCISD).
Teaming up to deliver the instruction are faculty in the Mechatronics, Electrical and Robotics Engineering Technology (MERET) program in the College of Computing, and faculty in the Manufacturing and Mechanical Engineering Technology (MMET) Department in the College of Engineering.
Michigan Tech faculty administering the CTE program include Prof. John Irwin, Chair of the Department of Manufacturing and Mechanical Engineering Technology, or Prof. Alex Sergeyev in the College of Computing.
“Students in the program will find careers in smart manufacturing fields, or they can find a pathway at Michigan Tech into undergraduate or graduate degrees in Engineering Technology, Engineering, or Mechatronics.” says Irwin.
There are 10 students enrolled this fall 2020 from the local area school districts of Houghton, Hancock, Calumet, and L’Anse. CTE Director Shawn Kolbus expects the program to only increase in popularity. “Local business owners approached us last year wanting to get more students from the area interested in Mechatronics, CADD and Engineering,” he says. “The result was the Mechatronics program which encompasses standards from each area.”
The course is taught by two mechatronics professionals who possess both industry and teaching experience. One of those instructors is George Ochieze, who is pursuing a master’s degree in Mechatronics and a PhD in Mechanical Engineering at Michigan Tech. “Even in difficult times during the pandemic, these young scholars show overwhelming potential to conquer the mechatronics field—a glimpse into a welcoming future in engineering,” says Ochieze.
The second instructor, Chinmay Kondekar, will earn an MS in Electrical Engineering at Michigan Tech in 2021. “Teaching for local schools is an opportunity for me to give back to people in the community who welcomed me as an international student,” says Kondekar. “I hope to create a strong interest in robotics and automation in my students. People with these skills will be the future of manufacturing and will have plenty of opportunities.”
Program enrollment is closed for 2020, but will be available again starting in fall 2021. This spring there will be the opportunity for area sophomore and junior students to visit Michigan Tech to tour the labs and meet the instructors. Both the Applied Computing and MMET department labs used at Michigan Tech are equipped with state-of-the-art electronics and mechanical systems partially provided through generous startup funding from the CCISD.
Mechatronics uses electromechanical systems, typically automated for the design of products and processes. Industry 4.0—sometimes called the “fourth industrial revolution”—applies various aspects of mechatronics to manufacturing enterprises. Topics in the CTE Mechatronics program include; automation, computer integrated manufacturing, high speed manufacturing, embedded systems design and controls, industrial robotics, pneumatics, hydraulics, and computer-aided design.
For more information please contact Shawn Kolbus, Director, Career and Technical Education, Copper Country Intermediate School District (906) 250-5353.
The Institute of Computing and Cybersystems (ICC) has announced the addition of the Computing Education Center, promotes research and learning related to computing education. Professor Yu Cai, Applied Computing, is director of the new center.
“A special thanks to Yu Cai for stepping forward to lead this effort,” said Tim Havens, director of the ICC and associate dean for research, College of Computing.
“This has been discussed for a few years, and I’m excited about the group of people that has come together in this center,” Havens added. “I look forward to hearing about their successes.”
The Institute of Computing and Cybersystems provides faculty and students the opportunity to work across organizational boundaries to create an environment that is a reflection of contemporary technological innovation.
The research center is funded in large part through returns on grant overhead and expenditures (F&A). Commonly called IRAD funds, these quarterly distributions are allocated among the six ICC centers according to their respective research expenditures that quarter.
Dr. James Keller, recently retired Curators’ Distinguished Professor in the EE/CS department at University of Missouri, Columbia, will present his lecture, “Soft Streaming Classification,” on Friday, October 30, 2020, at 3:00 p.m., via Zoom online meeting.
The talk is an Institute of Computing and Cybersystems’ (ICC) Distinguished Lecture Series event.
A Life Fellow of the Institute of Electrical and Electronics Engineers (IEEE), Keller recently received the IEEE Frank Rosenblatt Award for his “fundamental work on fuzzy pattern recognition, fuzzy clustering, and fuzzy technologies in computer vision.” He holds a number of additional professional and academic honors and awards.
As the volume and variety of temporally acquired data continues to grow, increased attention is being paid to streaming analysis of that data. Think of a drone flying over unknown terrain looking for specific objects which may present differently in different environments. Understanding the evolving environments is a critical component of a recognition system.
With the explosion of ubiquitous continuous sensing (something Lotfi Zadeh predicted as one of the pillars of Recognition Technology in the late 1990s), this on-line streaming analysis is normally cast as a clustering problem. However, examining most streaming clustering algorithms leads to the understanding that they are actually incremental classification models.
These approaches model existing and newly discovered structures via summary information that we call footprints. Incoming data is routinely assigned crisp labels (into one of the structures) and that structure’s footprints are incrementally updated; the data is not saved for iterative assignments.
The three underlying tenets of static clustering:
Do you believe there are any clusters in your data?
If so, can you come up with a technique to find the natural grouping of your data?
Are the clusters you found good groupings of the data?
These questions do not directly apply to the streaming case. What takes their place in this new frontier?
In this talk, I will provide some thoughts on what questions can substitute for the Big 3, but then focus on a new approach to streaming classification, directly acknowledging the real identity of this enterprise. Because the goal is truly classification, there is no reason that these assignments need to be crisp.
With my friends, I propose a new streaming classification algorithm, called StreamSoNG, that uses Neural Gas prototypes as footprints and produces a possibilistic label vector (typicalities) for each incoming vector. These typicalities are generated by a modified possibilistic k-nearest neighbor algorithm.
Our method is inspired by, and uses components of, a method that we introduced under the nomenclature of streaming clustering to discover underlying structures as they evolve. I will describe the various ingredients of StreamSoNG and demonstrate the resulting algorithm on synthetic and real datasets.
News provided by Handshake, Oct 12, 2020, 09:00 ET. Read the original article here.
Handshake CEO Garrett Lord has been received the Entrepreneur Of The Year® 2020 Northern California Award, as announced October 8, 2020, by Ernst & Young LLP (EY US).
Lord is a 2014 alumnus of the Michigan Tech Computer Science B.S. degree program. Handshake has become the number one site for college students and early talent to find a job and get hired.
The Entrepreneur Of The Year Awards program is one of the preeminent competitive awards for entrepreneurs and leaders of high-growth companies. The award recognizes those entrepreneurial leaders who are excelling in overcoming adversity; financial performance; societal impact and commitment to building a values-based company; innovation; and talent management.
As a Northern California award winner, Lord is now eligible for consideration for the Entrepreneur Of The Year 2020 National Awards. Award winners in several national categories, as well as the Entrepreneur Of The Year National Overall Award winner, will be announced Thursday, November 19, during a virtual awards gala. The Entrepreneur Of The Year National Overall Award winner will then move on to compete for the EY World Entrepreneur Of The Year™ Award in June 2021.
“To be recognized by Ernst & Young as a winner of the Entrepreneur Of the Year 2020 Award is truly humbling,” said Garrett Lord. “This award is a meaningful validation of the commitment of our entire team to work tirelessly to build the largest and most inclusive early talent community and democratize access to opportunity for all students.”
Lord will go on to become a lifetime member of the esteemed multi-industry community of award winners, with exclusive, ongoing access to the experience, insight and wisdom of fellow alumni and other ecosystem members in over 60 countries — all supported by vast EY resources.
Handshake is the number one site for college students and new graduates to find a job. Today, the Handshake community includes 17 million students and young alumni at over 1,000 colleges and universities — including 120+ minority-serving institutions.
Handshake is democratizing opportunity and ensuring college students have the support they need to find a great job and kick-off a meaningful career regardless of where they go to school, what they choose as a major, and who they know, according to the company’s website.
The company is headquartered in San Francisco with offices in Denver and London, England.
About EY EY is a global leader in assurance, tax, strategy, transaction and consulting services. Since 1986, EY US has honored entrepreneurs whose ingenuity, spirit of innovation and tenacity have driven their companies’ success, transformed their industries and made a positive impact on their communities.