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Emory University Goizueta Business School: Today’s business … – Study International News

Angie Chen knew exactly what she was seeking to achieve her career goals a big city and a program that would advance her interest in data science.

In my previous role as an internet product manager, I sought to increase collaboration with the technology and data departments of the company, says the MS in Business Analytics (MSBA) graduate from Emory University Goizueta Business School. I believed an MSBA would bring me more hands-on exploration of the data and prepare me well for my next aimed role as a data scientist or analyst.

As an undergraduate student who majored in biological engineering, Chen is grateful for the chance to work with data from big companies, specifically Truists Wealth Department. Such is the potential of Goizuetas MSBA analytics practicum, which places students at the heart of a real-life business scenario. They act as consultants to deliver results with the MSBA curriculum advisory board and faculty supporting them every step of the way.

During the program, teams of students work with a real client ranging from Fortune 500 institutions to scrappy startups to deliver a data-driven business solution for the clients. The teams deliver the three core deliverables of a data science project: technical (code, cleansed data), dashboard visualization (Tableau, ggplot), and executive deck (business result).

The analytics practicum project serves as the pinnacle of a students academic journey. They leverage their expertise in data science, and manage big data, machine learning, and data visualization to develop innovative solutions tailored to the specific needs of our sponsor firms, says Scott Radcliffe, Managing Director of MSBA at Goizueta.

The MSBA is tailored to recent graduates with little or no professional experience who are seeking to advance their knowledge in data science. Source: Emory University Goizueta Business School

Goizuetas 10-month STEM-designated MSBA combines the knowledge of three fields management, information systems, and applied statistics to train students in solving real business problems. Here, theyll cover topics such as data visualization, machine learning, artificial intelligence, managing big data, network analytics, cloud analytics, and more.

Students can choose from two academic tracks: Business Analytics or AI in Business. These tracks will influence the projects they complete during the analytics practicum. Those on the Business Analytics track complete a general data science project, while students on the AI in Business track work on a project with an AI-focused problem or solution.

At the start, the MSBA program incorporates a series of boot camps that help refine ones knowledge in math, technology, business, and business problem-solving. The technology boot camp, for example, sees students conduct exercises in R, Python, SQL and other languages. They will also use various unix tools, file-transfer methods, and cloud-based services something graduates like Faarid Sanaan appreciate.

I could have gone anywhere, but the US is at the forefront of the data analytics and data science revolution, says the Fulbright scholar. I needed graduate school to build upon my basic knowledge. I felt like there was a missing piece that I needed to feel more confident and call myself an expert.

Romin Williams, an MSBA graduate and a student-athlete, started working as a business insight fellow at McKinsey & Company two months after graduation. Source: Emory University Goizueta Business School

Goizuetas MSBA program has a stellar track record of turning students into highly employable graduates. With some of the highest employment rates among MSBA programs, students have gone on to work at companies such as Amazon, EY, Morgan Stanley, Slalom Consulting, Tik Tok, and many more.

Romin Williams, an MSBA graduate and a student-athlete, started working as a business insight fellow at McKinsey & Company two months after graduation. One of the most rewarding moments in his professional career, he shared, was putting the skillsets he learned at Goizueta into practice at McKinsey.

Each graduating class continues to see strong demand for their skillsets, with the class of 2022 receiving a median base salary of US$100,00 and a median signing bonus of US$10,000.

Whats more, thanks to their programs STEM designation, students on an F-1 visa who graduate from the MS in Business Analytics program are eligible for a 24-month extension on their Optional Practical Training period (OPT) beyond the standard 12 months of OPT. The OPT lets international students continue to live and work in the US after graduation.

Excited about what youre reading? Kickstart your journey to becoming a business analytics expert with Emory University Goizueta Business School

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Weekly Wave: Social media engineering boosted ‘Barbenheimer’ to … – Duluth News Tribune

DULUTH So, how did you spend Barbenheimer weekend?

Did you devote nearly 5 hours to a couple of movies and collapse afterward into a popcorn- and cola-infused coma?

I put about 3 hours in for Barbenheimer (or as I prefer to call it Oppenarbie because thats more fun to say). I watched another Christopher Nolan work of art with Oppenheimer. My Barbie experience will arrive later.

But what a fascinating piece of social media engineering/marketing, huh? Once someone mashed those movie titles together, social media ran with it and the movie marketeers werent far behind. They were probably in cahoots.

But the lexical blend (as its called by some) mostly took flight on the interwebs due to the movies being polar opposites: A historical drama and a comedy. One featured the desert tones of New Mexico and the other pummeled viewers with hordes of pink. A movie about a bomb and another about a bombshell.

Well, neither bombed.

People turned out in droves to see both, though Barbie has raked in the most box office receipts of the two films since they opened.

Much was opined about the order in which moviegoers would attend the two flicks. Most recommended seeing Oppenheimer first and then concluding the day with the lighter fare, Barbie. The thought being that its better to follow up the heady, darker movie with something more accessible and brighter (though, by most accounts, Barbie is a think-piece in its own way).

Indeed, even though I didnt devote another 2 hours to Barbie last Saturday, I still found myself in need of an old-fashioned popcorn movie to wash away all that nuclear imagery.

So I ended the day streaming The Meg and swimming with a giant prehistoric shark in the wonderful waters of cinematic make-believe.

Here are some DNT highlights from the past week:

Clint Austin / Duluth News Tribune

First of all, please accept my apologies for posting a snowplowing photo in late July. I know many of you (including me) are still suffering a bit of trauma from last winters snowpocalypse.

But in a related story, we found out this week just how much it cost the state of Minnesota to clear the myriad miles of highway in the Land of 10,000 Frozen Lakes. No spoilers here, but it was A LOT.

DNT outdoors reporter John Myers shared that lofty price tag with readers this week.

80 years of diagnosing autism

PeopleImages / Getty Images / iStockphoto

One of our summer highlights at the DNT is hosting interns and watching them hone their journalism skills in our newsroom skills that they take back to their college programs in the fall.

One of our interns, Devlin Epding, is a student at the University of Minnesota and has a bright future in our industry.

His latest story for the News Tribune takes a deep dive into the history of autism and how its diagnoses and treatments have changed in the 80 years since its discovery in 1943.

Raiders of the Frost River bags

Jay Gabler / Duluth News Tribune

Harrison Fords iconic character Indiana Jones is fond of telling Nazis and other neer do wells that priceless artifacts of antiquity belong in a museum.

Well, sharp-eyed observers caught Indy carrying a bag during Indiana Jones and the Dial Destiny that belongs in Lincoln Parks Frost River store.

So, Lucasfilm has a lawsuit on its hands. DNT arts and entertainment reporter Jay Gabler broke down the details of this dispute for readers this week.

Here are a few more stories from the past week to check out:

Editor's note: Weekly Wave is a newsletter that I publish every Friday morning. Please consider subscribing it's free and hits your inbox just once a week. You can sign up here.

Weekly Wave logo

Rick Lubbers has been in his role since 2014 and at the News Tribune since 2005. Previous stops include the Superior Telegram (1999-2005) and Budgeteer News (1997-1999). Prior to that, he worked at the St. Cloud Times and Annandale Advocate in Minnesota, and the Greenville Daily News and Grand Rapids Press in Michigan. He received his journalism degree at Central Michigan University.

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Trane Technologies and Project Scientist teach local girls about engineering – Tyler Morning Telegraph

To further interests in the world of engineering, Trane Technologies in Tyler and Project Scientist partnered up to educate local girls with a week-long program.

I like that I get to do science, because I like science, and I get to make friends while Im here, said Elyse Robinson, 8. I also like getting to see what my mom does because shes an engineer here.

According to its website, Project Scientist is a nonprofit organization that ignites and cultivates STEAM confidence in marginalized and underserved girls. By delivering high-quality experiences in science, technology, engineering, arts and math, they provide access to education and gainful career pathways that expand professional opportunities and awareness.

The most fun thing that we did all week is well, it's two things: we got to make a prosthetic hand and go to the lab, where we got to take a tour, Elyse said.

The program teaches girls from Tyler ISD ages 4 to 12 about sustainable and life-saving inventions, such as wind turbines, 3D-printed prosthetics and more.

Project Scientists mission is to provide high quality STEAM experiences to girls who are still in their educational years all the way from elementary through high school so that they can see what its like to actually have a career in an engineering field, said Julie Eagle, manager of AC & HP Engineering. Sometimes that's not as visible, in both women in the field, as well as the careers themselves and what that entails.

According to the Texas Education Agency, STEAM, which is an acronym for science, technology, engineering, art and mathematics, is defined as a method of hands-on teaching and learning where students learn to apply academic content by creatively solving real-world problems with innovative design-based thinking to prepare students for future career opportunities.

By Trane Technologies partnering up with Project Scientist, the objective is for girls to see themselves as scientists, innovators and builders in a field that has long been dominated by men.

At the beginning of the week, I don't think any of them would have said oh yeah, I can build a robotic arm but by the end of the week, they kind of see how it all comes together, Eagle said.

According to the U.S. Department of Labor, women fill nearly half the jobs in the states but only hold 27% of science, technology, engineering and math jobs. With Project Scientist, the national gender gap can get a little closer with the summer and after-school STEAM programs.

I love the Trane is giving these girls an opportunity to see that science is for them too and that it's not just boys that can be good at math and science, said Beth Robinson, a design engineer at Trane Technologies. It's just giving an opportunity to all work together and it's not just them, there's lots of other girls just like them.

There had been 50 girls in attendance this week, learning about the field from female role models.

We had 10 female engineers come out and talk to the girls so that they could kind of see that these women are approachable they have hobbies, they have kids who go to the same school, Eagle said. So, it makes it a little bit more tangible, achievable to the students.

The girls heard from the engineers of how tough the industry can be but being able to create complex ideas, such as 3D printing and robotics, can be fun and rewarding.

This week we have been working on pretty much the whole process of creating a design working to solve a problem of trying to figure out how to create a prosthetic arm, said Jenifer Blackburn, a teacher for Project Scientist. They started with their design plan on paper, then they figured out what all their criteria was, what their constraints were, and then they went through the process of developing different types of prototypes and then expanding on those prototypes to make them better each time they went through the process.

According to Blackburn, the students were eager to get started.

They really seem to be enjoying and excited to do this, she said. On the first day, they were ready to get started with building by Tuesday and Wednesday, they really wanted to build on things but I had to keep telling them that its a process, we cant just jump into it. We gotta learn that we have to make a plan, you gotta organize, you gotta know what your materials are.

In her first year, Blackburn was excited to be on board.

I hope to continue next year and maybe grow the program a little bit more, she said. Maybe extend it to even high school girls coming in and working with different engineers and seeing the process and maybe getting them ready for college or even exploring those options.

According to their press release, Trane Technologies partnership with Project Scientist is part of its corporate citizenship strategy, Sustainable Futures, which focuses on providing students underrepresented in the STEM field with access to education and research for pursuing green and STEM careers.

One of our focuses around STEAM education is that Trane has committed to providing $100 million for women and girls in our 2023 commitments, Eagle said. They have a commitment for a million dollars over three years towards their partnership with Project Scientists.

Wrapping things up Friday afternoon, the program hosted a Science Fair celebration which gave the girls an opportunity to showcase what they learned throughout the week.

When it comes to doling out advice for girls who might be interested in the field, the experts all say go for it.

Dont worry about the small stuff, whatever you wanna do you can do it, Blackburn said. It doesn't matter who you are or what you do you can accomplish anything. Jump in with both feet.

You don't have to love everything but find something you do love and keep pursuing it, Eagle said. Even if your classmates aren't interested, even if it doesn't seem like the cool thing to do, follow your passion. Keep following your curiosity.

Do not be discouraged by what you see, Robinson said. When you go into a class you're excited about and see only boys and think that it's not for you know that you belong there and there's nothing wrong with wanting to be there too.

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Study Identifies Pitfalls, Solutions for Using AI to Predict Opioid Use … – Newswise

Newswise More than 10 million Americans misused prescription opioids in 2019, and nearly 75 percent of drug overdose deaths in 2020 involved an opioid. According to the United States Centers for Disease Control and Prevention, overdose deaths involving opioids, including prescription opioids, heroin and synthetic opioids such as fentanyl, have increased eightfold since 1999.

As scientists and the health care community search for effective ways to mitigate the opioid epidemic, rapid advances in machine learning are promising. Access to data and machine learning frameworks has led to the development of machine learning models that use health care data to deal with different facets of the opioid crisis. For example, health care databases can assist researchers and clinicians to identify patients at risk by leveraging various data and information.

But are these machine learning models built on health care data reliable at predicting opioid use disorder? Thats what researchers from Florida Atlantic Universitys College of Engineering and Computer Science wanted to explore. As such, they examined peer-reviewed journal papers and conducted the first systematic review analyzing not only the technical aspects of machine learning applied to predicting opioid use, but also the published results.

Their goal was to determine if these machine learning methods are useful and, more importantly, reproducible. For the study, they reviewed 16 peer-reviewed journal papers that used machine learning models to predict opioid use disorder and investigated how the papers trained and evaluated these models.

Findings, published in the journal Computer Methods and Programs in Biomedicine, reveal that while results from the reviewed papers show machine learning models applied to opioid use disorder prediction may be useful, there are important ways to improve transparency and reproducibility of these models, which will ultimately enhance their use for research.

For the systematic review, researchers searched Google Scholar, Semantic Scholar, PubMed, IEEE Xplore and Science.gov. They extracted data that included the study's goal, dataset used, cohort selected, types of machine learning models created, model evaluation metrics, and the details of the machine learning tools and techniques used to create the models.

Findings showed that of these 16 papers, three created their dataset, five used a publicly available dataset and the remaining eight used a private dataset. Cohort size ranged from the low hundreds to more than half a million. Six papers used one type of machine learning model, and the remaining 10 used up to five different machine learning models. Most papers did not sufficiently describe the machine learning techniques and tools used to produce their results. Only three papers published their source code.

The reproducibility of papers using machine learning for health care applications can be improved upon, said Oge Marques, Ph.D., co-author and a professor in FAUs Department of Electrical Engineering and Computer Science. For example, even though health care datasets can be hindered by privacy laws and ethical considerations, researchers should follow machine learning best practices. Ideally, the code should be publicly available.

The researchers recommendations are threefold: use the area under the precision/recall curve (AUPRC), a metric more useful in cases of imbalanced datasets when thenegative classismoreprevalent and there is low value in true-negativepredictions; and avoid non-interpretable models (also known as black-box models) in this critical health care area, and favor using interpretable models whenever possible. If that is not possible and a non-interpretable model must be deployed to predict opioid use disorder, they recommend defining the reasons that justify its use. Finally, to ensure transparency and reproducibility of results, the researchers recommend the adoption of checklists and other documentation practices before submitting machine-learning-based studies for review and publication. Better documented and publicly available studies will help the research community advance the field.

The researchers note that the lack of good machine learning reproducibility practices in the papers makes it impossible to verify their claims. For example, the evidence presented may fall short of the accepted standard, or the claim only holds in a narrower set of circumstances than asserted.

Journal papers would be more valuable to the research community and their suggested application if they follow good practices of machine learning reproducibility in order for their claims to be verified and used as a solid base for future work, said Marques. Our study recommends a minimum set of practices to be followed before accepting machine-learning-based studies for publication.

Study co-authors are Christian Garbin, first author and a Ph.D. candidate, and Nicholas Marques, an M.S. student in data science and analytics and a National Science Foundation Research Traineeship Program scholar, both within the College of Engineering and Computer Science.

Opioid use disorder is a public health concern of the first magnitude in the United States and elsewhere, said Stella Batalama, Ph.D., dean, FAU College of Engineering and Computer Science. Harnessing the power and potential of machine learning to predict and prevent ones risk of opioid use disorder holds great promise. However, to be effective, machine learning methods must be reliable and reproducible. This systematic review by our researchers provides important recommendations on how to accomplish that.

- FAU -

About FAUs College of Engineering and Computer Science:

The FAU College of Engineering and Computer Science is internationally recognized for cutting-edge research and education in the areas of computer science and artificial intelligence (AI), computer engineering, electrical engineering, biomedical engineering, civil, environmental and geomatics engineering, mechanical engineering, and ocean engineering. Research conducted by the faculty and their teams expose students to technology innovations that push the current state-of-the art of the disciplines. The College research efforts are supported by the National Science Foundation (NSF), the National Institutes of Health (NIH), the Department of Defense (DOD), the Department of Transportation (DOT), the Department of Education (DOEd), the State of Florida, and industry. The FAU College of Engineering and Computer Science offers degrees with a modern twist that bear specializations in areas of national priority such as AI, cybersecurity, internet-of-things, transportation and supply chain management, and data science. New degree programs include Master of Science in AI (first in Florida), Master of Science and Bachelor in Data Science and Analytics, and the new Professional Master of Science and Ph.D. in computer science for working professionals. For more information about the College, please visit eng.fau.edu.

About Florida Atlantic University: Florida Atlantic University, established in 1961, officially opened its doors in 1964 as the fifth public university in Florida. Today, the University serves more than 30,000 undergraduate and graduate students across six campuses located along the southeast Florida coast. In recent years, the University has doubled its research expenditures and outpaced its peers in student achievement rates. Through the coexistence of access and excellence, FAU embodies an innovative model where traditional achievement gaps vanish. FAU is designated a Hispanic-serving institution, ranked as a top public university by U.S. News & World Report and a High Research Activity institution by the Carnegie Foundation for the Advancement of Teaching. For more information, visitwww.fau.edu.

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Wu named chair of biomedical engineering – UBNow: News and … – University at Buffalo

Yun Wu has been named chair of the Department of Biomedical Engineering, a joint program of the School of Engineering and Applied Sciences and the Jacobs School of Medicine and Biomedical Sciences.

She will assume the role Sept. 1.

Wu, associate professor of biomedical engineering, succeeds Albert Titus, who has served as department chair since 2012; he will return to his faculty role as professor of biomedical engineering.

I am confident that the Department of Biomedical Engineering will continue to thrive and reach new heights under the leadership of Professor Wu, says Kemper Lewis, dean of the School of Engineering and Applied Sciences. With a deep commitment to academic excellence and a passion for nurturing the growth of both students and faculty, Professor Wu brings a wealth of experience and an inspiring vision to the position.

I thank Professor Titus for his outstanding leadership and dedication to the department, school and UB, says Lewis. It is not hyperbole to say that he built the department and has played an instrumental role in its rise to one of the top biomedical engineering programs in the country.

Allison Brashear, vice president for health sciences and dean of the Jacobs School, says, With her decade-long tenure at UB and extensive research experience, Dr. Wu has a deep understanding and appreciation for our talented, accomplished team in the Department of Biomedical Engineering, which has thrived under the skillful leadership of Dr. Titus. I am confident she will build upon the programs history of innovation and success.

A UB faculty member since 2013, Wuhas made significant contributions to the developmentof innovative nanotherapeutics and in vitro diagnostic assays for cancer treatment and diagnosis. She has received 30 funded awards totaling over $16 million from the National Institutes of Health, National Science Foundation, U.S. Food and Drug Administration, American Lung Association, Cancer Research Institute and SUNY.

Wu has published 65 peer-reviewed papers in prestigious journals and has received numerous awards, including the UB Exceptional Scholar: Sustained Achievement Award in 2023; the School of Engineering and Applied Sciences Senior Researcher of the Year Award in 2021 and Early Career Researcher of the Year Award in 2016; and the Biomedical Engineering Innovation and Career Development Award from the Biomedical Engineering Society in 2013.

A decorated educator and an accomplished academic leader, she was awarded the School of Engineering and Applied Sciences Early Career Teacher of the Year Award and previously served as director of graduate studies in the Department of Biomedical Engineering.

I am incredibly grateful for the trust and confidence that has been placed in me to lead this department, she says. Biomedical engineering is a field that holds immense potential to transform lives through groundbreaking research, innovative technologies and impactful collaborations. The true power of our department lies in the collective expertise and dedication of our talented faculty, staff and students.

I firmly believe that we can leverage these strengths to push the boundaries of biomedical engineering and make significant contributions to human health and well-being.

Wu received a doctorate in chemical and biomolecular engineering from The Ohio State University.

Titus concludes his service as chair after more than a decade of leading the Department of Biomedical Engineering. He played a critical role in the creation of the department, leading development of its undergraduate, graduate and combined-degree programs in biomedical engineering.

During his tenure, the department has grown to 15 full-time faculty and over 30 affiliated faculty, and serves more than 300 undergraduate and over 100 graduate students. He led the department through its first successful ABET accreditation in 2015. And, as of 2023, the department is ranked No. 12 in NIH funding among biomedical engineering departments by the Blue Ridge Institute for Medical Research.

Tituss focus will return to research, where his interests span a diverse array of fields, including biomedical sensors, artificial vision, and hardware and software for artificial neural networks. His innovative work has led to new ways to improve visual processing for autonomous systems, such as robots and planetary explorers; development of specialized devices that detect biological signals from the human body; and advancement of electronic imaging by mimicking the sensing and processing characteristics of living organisms, such as those of the human eye.

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Tackling the elastic cloud consumption challenge with query … – SiliconANGLE News

Managing elastic cloud costs continue to be a challenge for enterprises based on heightened consumption.

By sitting in front of Snowflake Inc.s data cloud, Sundeck tackles the consumption challenge by adding dynamic warehouse routing and management tools in an open and free manner, as evidenced by the new native app called OpsCenter for Snowflake, according to Jacques Nadeau (pictured), co-founder and chief executive officer of Qack Co. (dba Sundeck).

We built a native app called OpsCenter for Snowflake, and this came out of primarily ourown experiences with challenges around understanding consumption of these technologies,elastic compute technologies, Nadeau said. We built this application, we started by building stuff for ourown purposes and then realized that every customer we talked to was struggling with the same kind of thing.We actually not only created the Opscenter project as a free project insidethe marketplace, but we also made it available on GitHub.

Nadue, spoke with industry analysts Lisa Martin and Dave Vellante at Snowflake Summit, during an exclusive broadcast on theCUBE, SiliconANGLE Medias livestreaming studio. They discussed how Sundeck makes technology consumption seamless and is revolutionizing the query engineering sector. (* Disclosure below.)

Since query engineering involves the art and science of getting queries to work better for organizations, getting the best out of it is vital. Sundeck makes this a reality by ensuring that resources are used efficiently, as showcased by Snowflake.

Trying to figure out how you can use, in the case of Snowflake warehouses more effectively,how you can use different kinds of patterns inside of Snowflake effectively, he stated. What people dont necessarily initially realize is another thing that query engineering can do for them is that in organizations, especially data-driven organizations, you have larger and larger communities of users actually interactingwith their data.

With large language models and generative artificial intelligence going mainstream, huge queries have emerged. Sundeck sees this as an opportunity to ensure that the queries are more sophisticated so that users can be able to access the right information, Nadeau pointed out.

Its actually making the problem worse, is youre making it easier for people to just generate really, really large queries that are going to beboth inefficient and also, how do you know that the GenAI got this stuff,the patterns correct? he asked. Its actually helpful for us.We think its very exciting.

Heres the complete video interview, part of SiliconANGLEs and theCUBEs coverage of Snowflake Summit:

(* Disclosure: Snowflake Inc. sponsored this segment of theCUBE. Neither Snowflake nor other sponsors have editorial control over content on theCUBE or SiliconANGLE.)

TheCUBEis an important partner to the industry. You guys really are a part of our events and we really appreciate you coming and I know people appreciate thecontent you create as well Andy Jassy

THANK YOU

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More Missouri S&T students take FE exam than any school in the … – Missouri S&T News and Research

More students and recent graduates of Missouri S&T took the Fundamentals of Engineering exam offered by the National Council of Examiners for Engineering and Surveying (NCEES) last year than any other school in the nation, according to an NCEES report.

In 2022, 586 exam registrations were attributed to S&T. Texas A&M came in second with 467, and Montana State University was third with 455.

Many schools recognize the value of licensure and encourage their students to take the FE exam during their senior year or soon after graduation, NCEES notes in the 2022 issue of Squared, the organizations official source for engineering and surveying licensure statistics. Engineering positions at all levels of industry and government increasingly require licensure. Getting on the licensure path early puts engineers in a position to succeed professionally.

Dr. David Borrok, vice provost and dean of the S&T College of Engineering and Computing, shares similar sentiments and says this illustrates the universitys commitment to preparing students for successful careers.

At Missouri S&T, we understand the importance of preparing our students to have a successful career, and taking the FE exam really gives them a leg up in the process, he says. Also, the fact that so many S&T students and recent graduates successfully take this exam says something about them and about our university. Students from S&T want to hit the ground running so they can use their knowledge and skills to have an impact and help shape the future.

Licensure requirements vary by state, but passing NCEES exams is a standard part of the process.

In Missouri, to become a licensed professional engineer, applicants must have earned a bachelors degree in an engineering program accredited by the Accreditation Board for Engineering and Technology Inc., have four years of satisfactory engineering experience after completing the degree, and pass both the FE exam and the Principles and Practice of Engineering exam.

For more information about the Missouri S&T College of Engineering and Computing, visit cec.mst.edu.

Missouri University of Science and Technology (Missouri S&T) is a STEM-focused research university of over 7,000 students. Part of the four-campus University of Missouri System and located in Rolla, Missouri, Missouri S&T offers 101 degrees in 40 areas of study and is among the nations top 10 universities for return on investment, according to Business Insider. For more information about Missouri S&T, visit http://www.mst.edu.

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Harnessing the Power of AI for Sustainable Environmental … – Fagen wasanni

Exploring AI-Driven Solutions for Sustainable Environmental Engineering

The rapid advancements in artificial intelligence (AI) and machine learning technologies have opened up new horizons for various industries, including environmental engineering. As the world grapples with the pressing need to address climate change, dwindling natural resources, and environmental degradation, AI-driven solutions are emerging as powerful tools to help engineers design sustainable and efficient systems. By harnessing the power of AI, environmental engineers can optimize processes, reduce waste, and minimize the ecological footprint of human activities.

One of the most promising applications of AI in environmental engineering is in the field of renewable energy. AI algorithms can be used to optimize the performance of solar panels, wind turbines, and other renewable energy systems by analyzing vast amounts of data on weather patterns, equipment performance, and energy consumption. By predicting the optimal times to generate and store energy, AI can help engineers maximize the efficiency of renewable energy systems and reduce reliance on fossil fuels.

In addition to optimizing renewable energy systems, AI can also be used to improve the efficiency of traditional power plants. For example, machine learning algorithms can be employed to analyze data from sensors installed in power plants to identify inefficiencies and predict equipment failures. By addressing these issues before they escalate, engineers can minimize downtime, reduce maintenance costs, and decrease greenhouse gas emissions.

Water management is another area where AI-driven solutions can make a significant impact. With the global demand for water expected to exceed supply by 40% by 2030, there is an urgent need for more efficient water management systems. AI can help engineers design smarter irrigation systems that use real-time data on soil moisture, weather conditions, and plant growth to determine the optimal amount of water needed for crops. This not only conserves water but also reduces the energy required for pumping and distribution.

AI can also be used to monitor and predict water quality in rivers, lakes, and oceans. By analyzing data from remote sensing satellites, drones, and in-situ sensors, AI algorithms can detect patterns and trends in water quality, enabling engineers to identify pollution sources and implement targeted remediation strategies. This can help protect ecosystems, preserve biodiversity, and ensure the availability of clean water for human consumption and agriculture.

Waste management is another critical aspect of environmental engineering where AI can play a transformative role. The growing volume of solid waste generated by urban populations poses significant challenges for waste collection, recycling, and disposal. AI-powered systems can help engineers optimize waste collection routes, reducing fuel consumption and emissions from garbage trucks. Moreover, AI-driven robots can be used to sort and separate recyclable materials more efficiently, increasing recycling rates and reducing the amount of waste sent to landfills.

In conclusion, AI-driven solutions have the potential to revolutionize the field of environmental engineering by enabling more sustainable and efficient systems. By harnessing the power of AI, engineers can optimize renewable energy systems, improve water management, and enhance waste management processes, ultimately reducing the ecological footprint of human activities. As the world faces unprecedented environmental challenges, it is crucial for governments, industries, and research institutions to invest in the development and deployment of AI technologies for sustainable environmental engineering. By doing so, we can not only mitigate the impacts of climate change and environmental degradation but also build a more resilient and sustainable future for generations to come.

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College of Engineering receives $7.5M to advance nuclear energy … – The University Record

The U.S. Department of Energy has awarded $7.5 million to researchers at the College of Engineering in an effort to speed the licensing of advanced nuclear reactors, ensure that communities are respected during reactor siting, monitor and limit corrosion in nuclear reactors, and more.

The biggest project that U-M leads, funded with $3 million from DOEs Integrated Research Projects program, aims to speed up the advanced nuclear reactor licensing process by building a tool that gives companies the data needed for design approval.

The Nuclear Regulatory Commission requires extensive data about how new reactors will operate over time up to 20 years. Companies must show that reactor parts can survive radiation and other stresses. Test reactors are slow and expensive, and these days are not very available.

As an alternative, the U-M team will shoot atomic nuclei at the material a technique known as ion irradiation to create a predictive tool that advanced reactor companies can use to show how well their core materials can withstand decades worth of radiation damage.

Ion irradiation is not only faster, in terms of days versus years, and cheaper thousands versus millions of dollars it also does not require special handling or disposal issues, and advances in ion irradiation techniques and simulation and modeling have established the technique as a viable substitution for reactor irradiation, said Gary Was, professor emeritus of nuclear engineering and radiological sciences, who leads the project.

Other U-M contributors include Kevin Field, associate professor of nuclear engineering and radiological sciences, and Emmanuelle Marquis, professor of materials science and engineering. The project includes collaborators at the University of Tennessee, Pennsylvania State University, Prairie View A&M University, Texas A&M University, Oak Ridge National Laboratory, Los Alamos National Laboratory, Idaho National Laboratory and Pacific Northwest National Laboratory.

In addition, four projects are funded with $1 million each by the Nuclear Energy University Partnerships Program:

A tool for engaging communities on the clean energy transition. Nuclear energy has been stymied in part due to public opinion in the areas around potential plant sites, but it is a critical part of the transition to a zero-emissions grid.

Aditi Verma, assistant professor of nuclear engineering and radiological sciences with the U-M Fastest Path to Zero Initiative, will lead a survey of communities in New Mexico exploring views on clean energy, nuclear energy and a just energy transition. The findings will be used to build a tool that assesses public sentiment and helps match technology developers with communities.

Real-time impurity detection. Sodium-cooled fast reactors have meltdown-proof designs and could run on spent fuel from our current fleet of water-cooled reactors. However, impurities like oxygen and hydrogen can get into the sodium coolant and cause problems like corrosion and blockages.

Milos Burger, assistant research scientist in nuclear engineering and radiological sciences, leads a team that will develop better sensors to monitor impurities in sodium-cooled fast reactors. Besides being more sensitive than current sensors, they will be able to identify the type of impurity, which can help reveal the source of the contamination.

Determining how radiation degrades reactor components. Stresses in nuclear reactors including radiation, pressure and heat can change the shape of components.

A team led by Field will develop a quick and cost-effective method to test materials under different cyclic stresses and varying heat conditions during ion irradiations. The team will use a rig that can vary the amount of stretching that material experiences throughout an ion beam experiment.

Ultrasonic imaging to assess reactor parts. Some next-generation nuclear reactor parts are 3D-printed to reduce manufacturing time and costs, but defects like little holes where the layers didnt stick together could cause parts to fail if they are used.

A team led by Serife Tol, assistant professor of mechanical engineering, will develop advanced ultrasonic imaging to look for such defects so that these parts can be approved.

Finally, a project that will help nuclear scientists and technologists prepare for the quantum revolution is funded with an additional $500,000 from NEUP.

Algorithms that work on current computers wont work on quantum computers. While others are already at work on how to simulate fluids with quantum computers, neutrons the particles responsible for triggering fission in nuclear reactors need attention.

A team led by Brian Kiedrowski, associate professor of nuclear engineering and radiological sciences, will begin to encode the behaviors of neutrons in a way that quantum computers can understand.

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College of Engineering receives $7.5M to advance nuclear energy ... - The University Record

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Interim head named for civil and environmental engineering – Pennsylvania State University

UNIVERSITY PARK, Pa. Professor Farshad Rajabipour has been named interim head of the Department of Civil and Environmental Engineering in the Penn State College of Engineering, effective July 1. Rajabipour assumes leadership of the department following the appointment of Patrick Fox as dean of engineering at Ohio University.

We are at a unique moment in time for our department, one filled with fascinating opportunities and research initiatives led by our outstanding faculty, staff and students, Rajabipour said. These include climate solutions, decarbonization, sustainable development, water-food-energy nexus, infrastructure resiliency, equitable transportation, space construction, and artificial intelligence, to name a few.

This leadership transition and the departments upcoming move to west campus from our longtime home in Sackett Building provide a fresh opportunity for partnerships to enrich our staff and faculty culture, to identify new avenues for bolstering student enrollment, and to energize the implementation of our strategic plan for the future.

Rajabipour, a Penn State faculty member since 2009, also is the new director of the Center for Integrated Asset Management for Multimodal Transportation Infrastructure Systems, a U.S. Department of Transportation Region 3 University Transportation Center at Penn States Larson Transportation Institute. Previously, he held civil engineering appointments at the University of Hawaii at Mnoa and Purdue University. Rajabipour also served as a visiting faculty member at the Indian Institute of Technology Madras.

Rajabipours research interests include decarbonizing cement and concrete, marginal and nonconventional pozzolans, extending the durability and service life of infrastructure, sensor development, and ultra-high-performance concrete. He holds a bachelors degree from Sharif University of Technology and masters and doctoral degrees from Purdue University.

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Interim head named for civil and environmental engineering - Pennsylvania State University

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