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Cloud Computing in Education Market Deep Research Study of Covid 19 With Future State of the Competitive Landscape | Adobe System Inc., Cisco System…

The Cloud Computing in Education Market research report provides an analysis of major manufacturers, geographic regions, and provides advanced information about the major challenges that will affect market growth. The report includes definition, classification, application and industrial chain structure, development trend, analysis of the competitive landscape, and analysis of distributors in key regions. The report also provides supply and demand data, revenue, and share.

The report provides in-depth knowledge about the utilization and adoption of the Cloud Computing in Education industry in various applications, types, and regions/countries. In addition, the main stakeholders can identify the main trends, investments, driving factors, initiatives of vertical players, the governments pursuit of product acceptance in the next few years, and insights into the commercial products that exist in the market.

The worldwide market forCloud Computing in Educationis expected to grow at a CAGR of roughly XX% over the next five years, will reach XX million US$ in 2026, from XX million US$ in 2020.

According to the report, the market is appropriately divided into important segments.

Segmentation by Compitetion

The competitive landscape of the global Cloud Computing in Education market is fragmented. The emergence of a large number of key players is the main reason for such fragmentation in the global market. In the next few years of the forecast period, global market competition is expected to only intensify. The market leader like Adobe System Inc., Cisco System Inc., IBM Corporation, VMware Inc., Microsoft Corporation, NEC Corporation, NetApp Inc., Amazon Web Services, Ellucian has invested a lot of money in research and development activities.

Segmentation by Region

The global Cloud Computing in Education market has five main regional segments, divided by geographic region. These regions are North America, Europe, Asia Pacific, Middle East-Africa, and Latin America.

Segmentation by Type

Private Cloud, Public Cloud, Hybrid Cloud, Community Cloud

Segmentation by Application

K-12, Higher Education

Impact of COVID-19:

The industry is mainly driven by increasing financial incentives and regulatory support from governments around the world. The current Cloud Computing in Education market is mainly affected by the COVID-19 pandemic. Cloud Computing in Education Market document looks into the impact of Coronavirus (COVID-19). Since December 2019, the COVID-19 contamination spread to nearly 180+ countries around the sector with the World Health Organization pronouncing it a popular well-being crisis. The worldwide consequences of the Covid contamination 2020 (COVID-19) are actually starting to be felt, and could basically have an effect on the Cloud Computing in Education market in 2021. Most projects in China, the United States, Germany, and South Korea have been postponed. These companies are facing short-term operational problems due to supply chain constraints and the inaccessibility of factories due to the COVID-19 outbreak. Due to the pandemic impact in China, Japan, and India, the spread of COVID-19 is expected to severely affect the Asia-Pacific region.

Frequently Asked Questions

What does the report cover?The report incorporates an analysis of factors that promote market growth. The report introduces the competitive landscape of the global market. This also provides a range of different market segments and applications that may affect the market in the future. The analysis is based on current market trends and historical growth data. It includes detailed market segmentation, regional analysis, and industry competition pattern.

Does the report estimate the current market size?The report effectively assesses the current market size and provides industry forecasts. The value of this market in 2019 is $XXX million, and the compound annual growth rate during 2021-2026 is expected to be XX%. (*Note: XX values will be given in final report)

How does the report provide the market size of the market?The report effectively assesses the current market size and provides forecasts for the industry in the form of Value (millions USD) and transaction Volume (Thousands Units)

What market dynamics does this report cover?The report shares key insights on:

It helps companies make strategic decisions.

Does this report provide customization?Customization helps organizations gain insight into specific market segments and areas of interest. Therefore, WMR provides customized report information according to business needs for strategic calls.

Cloud Computing in Education Market 2021-2026: Main Highlights

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Cloud Computing in Industrial IoT Market to Witness Robust Expansion Throughout – News.MarketSizeForecasters.com

The latest report on ' Cloud Computing in Industrial IoT market' Added by Market Study Report, LLC, provides a concise analysis of the industry size, revenue forecast and regional spectrum of this business. The report further illustrates the major challenges and the latest growth strategies adopted by key players who are a part of the dynamic competitive spectrum of this industry.

The research report on Cloud Computing in Industrial IoT market contains an in-depth assessment of the growth driving factors, opportunities, and restraints impacting the regional terrain and competitive arena of this business sphere.

Request a sample Report of Cloud Computing in Industrial IoT Market at:https://www.marketstudyreport.com/request-a-sample/3087474?utm_source=marketsizeforecasters.com&utm_medium=SK

As per the report, the market is expected to record a CAGR of XX% and grow substantially over the analysis period of 2020-2025.

Market fluctuations due to lockdowns imposed on account of COVID-19 pandemic has bolstered uncertainty. Besides near-term revenue concern, certain industries are likely to face challenges even post pandemic.

All businesses in several sectors have reformed their budget to restore their profits for the ensuing years. A granular analysis of this business sphere will help organizations manage market uncertainty and take informed decisions building contingency plans.

The study delivers a detailed assessment of several market segmentations to provide a better understanding of lucrative growth prospects of this market.

Pivotal pointers from the Cloud Computing in Industrial IoT market report:

Cloud Computing in Industrial IoT Market segmentations present in the report:

Regional segmentation: North America, Europe, Asia-Pacific, South America, Middle East and Africa

Product types:

Application spectrum:

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Competitive outlook:

Cloud Computing in Industrial IoT Report Effectively Addresses the Below Queries.

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IBM Is Said to Consider Sale of Watson Health Amid Cloud Focus – Data Center Knowledge

Nico Grant and Tom Giles(Bloomberg) --International Business Machines Corp. is considering a sale of its IBM Watson Health business, a person with knowledge of the matter said, a move that would help newly appointed Chief Executive Officer Arvind Krishna focus on faster-growing cloud computing operations.

Deliberations are at a very early stage and the company may opt not to pursue a deal, said the person, who asked not to be identified discussing private talks. IBM is exploring a range of alternatives, from a sale to a private equity firm or a merger with a blank-check company, according to the Wall Street Journal, which earlier Thursday reported the possibility of a deal.

Related: Why IBM Is Untethering Watson AI Software from Its Cloud

IBM has been trying toboostits share of revenue from hybrid-cloud software and services, which lets customers store data in private servers and on multiple public clouds, including those of rivals Amazon.com Inc. and Microsoft Corp. IBM bought RedHat for $34 billion in 2018 to boost this effort.

As a testament to the companys bet on the cloud, Krishna said in October that he would spin off IBMs managed infrastructure services unit into a separate publicly traded company. The division, currently part of the Global Technology Services division, handles day-to-day infrastructure service operations, like managing client data centers and traditional information-technology support for installing, repairing and operating equipment. While the unit accounts for about a quarter of IBMs sales and staff, it has seen business shrink as customers embraced the shift to the cloud, and many clients delayed infrastructure upgrades during the pandemic. The spinoff is scheduled to be completed by end of 2021.

Related: IBM Watson AI to Help CBRE Manage Client Data Centers

Offloading IBM Watson Health, which helps health care providers manage data, would further Krishnas efforts to streamline the company. The unit generates about $1 billion of annual revenue and isnt profitable, according to the Journal, which cited people it didnt identify. An IBM representative declined to comment.

IBM embarked on Watson with lofty goals, such as revolutionizing health care for cancer patients, but many of its ambitions havent panned out and some customers have complained that the products didnt match the companys hype. IBM has scaled back its Watson ambitions, including through job cuts last year.

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Cloud Computing in Automotive Market Size Observe Significant Surge during 2021-2025 | Amazon Web Services, Microsoft Azure, and Google Cloud Platform…

Global Cloud Computing in Automotive market report presents an overview based on the historic data. Report provides market key segmentation such as product type, industry, key regions and key companies. On the basis of historic data, market size has been forecasted in terms of revenue from base year 2020 to 2025. Research report includes in detailed study of growth factors, restrains, opportunities, technological innovations and trends of the global Cloud Computing in Automotive market. Report also covers the impact of drivers and restrains region and country wise and the opportunities during the forecast period.

Get Sample Copy of this Report: https://www.adroitmarketresearch.com/contacts/request-sample/981?utm_source=Bh

In addition, report on global Cloud Computing in Automotive market presents strategic analysis and ideas for new entrants using historic data study. Thus, report provides estimation about the market size, revenue, sales analysis and opportunities based on the past data for current and future market status. Report covers analysis of different enterprises as part of global Cloud Computing in Automotive market. There are some important tools for any market movement. Also report forecasts the market size of global Cloud Computing in Automotive market in Compound Annual Growth Rate in terms of revenue during the forecast period.

Top Leading Key Players are:

Amazon Web Services, Microsoft Azure, and Google Cloud Platform

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Experts have offered details on the current and the forecast demand made by the main regions. The report also offers information on the unexplored areas in these regions to help the producers to plan promotional strategies and create demand for their new and updated products. Moreover, global Cloud Computing in Automotive market size, share, supply, demand, consumption, price, import, export, type, and application segment information by region has been included in the report.

The main objective of this research report is to present the comprehensive analysis about the factors which are responsible for the growth of the global Cloud Computing in Automotive market. The study report covers all the recent developments and innovations in the market for a Cloud Computing in Automotive. The global Cloud Computing in Automotive market is likely to provide insights for the major strategies which is also estimated to have an impact on the overall growth of the market. Several strategies such as the PESTEL analysis and SWOT analysis is also being covered for the global market. These strategies have an impact on the overall market.

In addition, study report covers all the important geographical regions which have good market growth of global Cloud Computing in Automotive market. Government organizations and policy makers are taking initiatives to promote the global Cloud Computing in Automotive market thus it is boosting the growth of global Cloud Computing in Automotive market. Furthermore, report presents the end users on the basis of enterprise size for the global Cloud Computing in Automotive market. Report is beneficial for any user of any department as report provides strategic analysis for the expansion of the business cross the globe.

What to Expect From the Report:

Introduction of the global Cloud Computing in Automotive market with details on product overview and scope of the report and executive summary Details on manufacturer information, regional segmentation A thorough understanding of market dynamics comprising drivers, trends, challenges, and threats that could have an influence on market growth course

Research Report Offers the Below Industry Insights:

Assessment of different product types, applications, and regions A brief introduction on global Industrial Cloud Computing in Automotive market scenario, development trends, and market status Top industry players are analyzed and the competitive view is presented The revenue, gross margin analysis, and market share is explained Top regions and countries in the market is stated Market strategy, share, opportunities, and threats to the global Industrial Cloud Computing in Automotive market development are mentioned Lastly, conclusion, data sources, and detailed research methodology is covered

The Following Queries Have Been Explained in This Research Report:

Who are the competitors in the global Cloud Computing in Automotive market? What products or services does the market sell? What is the market share of each competitor? What type of medium is used to promote products or services? What will the market size and growth rate be in 2025? What potential market threats are competitors? What are the challenges of the global Cloud Computing in Automotive market for market growth?

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Is cloud-native computing as influential as its stacked up to be? [Status Report] – ZDNet

Making an automated mechanism for building and deploying software workloads onto cloud platforms was a superb idea. Since 2015, the task of building a business around it has, at least on paper, been tackled by the open-source community. Today, its champions are the names we recognize: Google, VMware, Microsoft, Amazon (if reluctantly), Red Hat, and by extension, IBM. Containerized workload automation must be a somewhat viable business, otherwise, those companies wouldn't have swallowed it up.

"Cloud-native computing" is a great idea that would have been poison for any single vendor to have claimed and defended just for itself. Revolutions have always been great (at least the successful ones) as long as someone else leads the charge, and you're not the one getting bloodied. The overall goal of cloud-native is to unseat a dynasty: to eject virtualization from its throne at the center of the data center economy, and in its place install workload automation. From a distance, the task resembles replacing a refrigerator with a washing machine.

Yet witness how Google swiftly and adeptly pulled off this masterstroke: At exactly the time that Docker, a workload deployment system, sought to leverage the gains from the movement it sparked, Google started its own movement at a campsite down the road. It took an in-house workload orchestration project (even its original name, Borg, delivers gorgeous irony); offered it up as an open-source initiative; stewarded its evolution into the raison d'tre for workload portability; marginalized the Docker whale; infused Red Hat, VMware, to a lesser degree Microsoft, and kicking and screaming, Amazon with the workload portability bug; and cemented Kubernetes' place as the axis around which a software ecosystem revolves -- all without ever "pulling a Microsoft" or being accused of monopolizing a market, and all by leveraging other people's efforts.

Minimum investment, maximum payoff, clean shirts. A clinic on influencing an industry. If only all insurgencies could work like this.

But is the scale of this revolution broad enough to have genuinely changed the way we live and work? That's the type of question we've created Status Report to help us answer. It aims to take the ten most important categories for any technology's or platform's capability to influence its users' businesses and livelihoods, examine each one in isolation, score its positive and negative factors separately, then toss them all onto a graph to see if its capacity for change is as great as our proclivity for emotion. Through this cleansing process, we may be able to extrapolate pertinent, relevant facts about whether technology makes a genuine difference.

Today, when I refer to "cloud-native" technologies, there's a general presumption that I'm referring not just to "containerization" (another terrible word) but specifically to Kubernetes, and the ecosystem of open source components that comprise its "stack." The Linux Foundation maintains a project called the Cloud Native Computing Foundation, whose job is to nurture new technologies in this space, as well as promote and support all of them.

Three years ago, I was told emphatically that presuming containerization meant Docker or Kubernetes, or any one name, would be contrary to the spirit of the open-source movement. Openness, I was sternly corrected, was all about choice, and ensuring that customers are never again locked into one way of doing things. Now, of course, it's an all-Kubernetes stack all the time. The CNCF's accreditation program for IT professionals in the cloud-native space is called Certified Kubernetes Administrator. Its competition has been kicked to the curb, then stomped on and flattened, followed by being declared not only irrelevant but never all that relevant to begin with.

The original, and still true, meaning of containerization is the method of packaging any workload with all the tools and dependencies it needs so that it can run on any cloud platform without modification. Think of a camper who carries everything she needs in her backpack, as opposed to a traveler who carries a light briefcase but expects to stay in a hotel. (Actually, virtualization would be like a traveler who drags the entire hotel behind him on chains.)

The problem with the term "cloud-native" is that it implies a software workload stays in one place throughout its lifecycle. That's not what "cloud" is about. A cloud platform is an abstract plane whereby a workload is addressable through the network at all times, regardless of where it is. This is the actual value of the concept: It ensures isolation (for security), portability, and at the same time, accessibility. This reduces the cost of change for enterprises charged with maintaining it. Historically, IT has kept costs low by maintaining system configurations until their platforms can no longer sustain them, and usually beyond that time. "Cloud-native" flips the whole maintenance cost argument on its head: Ideally, it ends up costing organizations less to continually adapt their own workloads to new situations and requirements at a moderate pace, than to constantly pour more effort and capital into maintaining IT systems' stability.

In the end, this is why Kubernetes won. (I expect to be told once again, it's not about winning or losing. The people telling me this will, without exception, be the victors.) Yes, it's the packaging of the workload that enabled its system of orchestration. But it's in the orchestration that customers find value.

The software industry is, first and foremost, about intellectual property. The open-source movement is largely an effort to neutralize the legal, financial, and other natural advantages a competitor may attain by having thought of the idea first. It forces its market to be about something else.

In a market where the incumbent is the leader by way of ingenuity, that something else is usually an effort to drive the value of that advantage down through product homogenization, and substitute service and support as value-adds. This is how Linux first gained a foothold in the enterprise. However, in an infrastructure market, where the incumbents reinforce their value propositions by stifling change instead of driving it, an open-source player has the unusual opportunity to reverse the situation: to encourage the developer community to foster ingenuity among themselves, as a tool for disruption.

As Docker, and immediately afterwards Kubernetes, proved, this plan can work out rather well at the outset. But then suddenly it hits a wall. It takes tremendous human effort to sustain even a moderate pace of change for any technology that has established itself in its market -- an effort that has traditionally been supported through vendors' IP license fees. When IP is at the core of a market, its incumbent has the luxury of slowing down ingenuity to a pace it can comfortably manage (see: Apple, Microsoft, Qualcomm, Amazon). That method doesn't work anymore if the incumbent is a shared entity: It must evolve or die. And since the benefits of that ingenuity are shared by design, it takes even more effort to spark the incentive that encourages ingenuity in the first place, especially when everyone knows ahead of time that such ingenuity must be short-lived (see: "Union, Soviet").

A successful business is all about minimizing risk. Information technology is the most volatile component of any business. The types of organizations that take a risk here are often the newer ones, or perhaps the very old ones for whom casting off their mortal coils has become a mandate -- companies with very little pre-existing baggage that's not worth losing anyway. Early adopters are the groups that have calculated the potential for significant gains, either through disruption or just pure innovation.

But the earliest adopters of Kubernetes and cloud-native technologies include public cloud service providers (of which there are few), communications providers (of which there are few), small businesses, and startups. Although they're arguably reaping benefits, they have yet to lay down the kinds of patterns for success that other industries can follow. In financial services, healthcare, government, and incredibly, logistics, there remain highly placed individuals in IT, including at the CIO level, who have never heard of Kubernetes or "cloud-native" or containerization. Not that they've rejected them, or would want to do so -- they don't even know what these things are. Such individuals tend to be myopically focused on other institutions less risk-averse than their own. Until these other firms take the plunge, they won't know a plunge can be taken.

Now let's score each component of our evaluation individually:

What the cloud-native ecosystem (CNE) intends to do is give vendors, both old and new, something amounting to a freeze-dried infrastructure kit. They can get into the business of producing products and services, so long as they don't make their involvement about intellectual property or exclusivity. [+7] What its benefactors do not do -- perhaps because they cannot -- is provide instruction or guidance about how to provide distinguished services around this business [-4], which is one reason why the earliest open-source trailblazers, such as Red Hat, have come out on top thus far. [Net: +3]

From the outset, Kubernetes' engineers have said they'll know their efforts have pierced the envelope into the realm of permanent success once everyone finds it a dull and boring topic already. Their experience comes from Linux. Linux is dull and boring. Take it from a journalist who has been paid to come up with reasons to make Linux exciting again.

But Linux established itself through homogenization -- by driving down the advantages gained through ingenuity. Kubernetes actually took the reverse route: It disrupted a market that could have comfortably fed off of the first-generation virtualization until the end of time. From the outset, however, no single player has attained a native competitive advantage -- no one has "come out on top." This is a problem for prospective customer organizations that typically wait for someone to emerge from the rubble, before investing in IT. [+2 | -7, net: -5]

This is Kubernetes' present dilemma: For the CNE to thrive, it must continually spawn new entities and innovative projects. Because Kubernetes is the axis of the ecosystem, those projects cannot be another orchestrator, but rather another service mesh, logging analytics tool, or key/value store. Because the axis of the ecosystem is strong, you can build a business around a product or service that orbits it. . . for a while. [+5]

Actual map of the CNCF's Cloud-native Ecosystem. Magnification available from CNCF.io

As the CNCF's own landscape map reveals all too clearly, even without a magnifying glass, this leads to dozens of startups essentially competing for the same market spaces. Venture capitalists will find it difficult to invest in a project that, by design, must compete with dozens of other projects that appear on the surface to be functionally identical. While we may call this a meritocracy, Charles Darwin would have called it something else. [-7, net: 2]

As noted in the Executive Summary, the components of the CNE must evolve or die. That's not necessarily a bad thing; indeed, it leads to consistent improvements. [+8] But it requires a long-term vision -- for 10, 15 years down the road -- that few, if any, have yet articulated. To withstand a threat from a future disabler, Kubernetes and its satellites cannot afford to become, like Linux, dull and void. They must continue a level of sustained pressure just to remain relevant. They are, in a word, hungry. Over time, this creates a vulnerability, increasing the likelihood of a future competitive challenge. [6, net +2]

At a certain point, a product or service becomes so fundamental to a market that its existence as an enabling factor is mandated. The Kubernetes model of application deployment is now a fact of the public cloud. [-7] It has yet, however, to significantly penetrate the small enterprise data center, and not even its integration into the latest VMware vSphere appears to be changing this fact measurably. So if you're in the cloud services business, and your customers include medium to large enterprises, you have to position yourself differently than you would for a small company that's starting fresh with the newest tools and methods. [-5, net +2]

The shift to a cloud-native operating model can, and has, revolutionized corporate IT [+7]. . . for those organizations capable of understanding it, and meeting its requirements. Kubernetes is a hungry beast. As of yet, there has yet to be a single, successful, persuasive initiative to educate the organization as a whole, including the C-suite, as to the end value of cloud-native, outside of IT departments and software developers who have already been convinced. [-6, net: +1]

Through having infiltrated the mindsets of the leading data center virtual infrastructure vendors, the CNE is now a measurable contributor to the world's gross domestic product. [+7] While some effort and capital continue to be expended toward buttressing pre-existing systems and methods, most of those expenditures have yet to be directed specifically against the advancement of the CNE. [-3, net: +4]

.

Perhaps the best measure of whether a concept has thoroughly permeated the fabric of a society is the degree to which its peoples benefit without their having to pay attention to it. The public cloud sustained the tremendous surge in user demand brought on in the onset of the global pandemic. No other industry has fared as well in the face of potential economic peril. [+8] What has yet to materialize, although it still could, is a sustainable system of education and certification around cloud-native IT, beyond just a bunch of YouTube videos and TED talks. [-2, net +6]

Has this integration helped advance people further forward, making them more capable? Through the enablement of real-time video communications that were not feasible with the first-generation virtualization, undoubtedly yes. [+6] Through the incidental enablement of certain negative aspects of social media that would not have been feasible otherwise, no. [-2, net: +4]

.

The cloud-native ecosystem is the strongest collective community of software developers and IT engineers ever assembled. [+9] Granted, it did not metastasize under its own power -- it required leadership and, certainly at the outset, a positive vision. It also adopted a mandate for personal empowerment and even betterment that no other information technology initiative has ever achieved.

Yes, there are pockets of community initiatives to reinforce those resources devoted to maintaining old, and admittedly dated IT systems. But these pocket communities do not form an ecosystem themselves. What's more, we're seeing evidence that these efforts are at last collapsing. [-3, net +6]

As technologies fare with this new series, a score of +2 or above is very strong. As a geometry teacher may point out, it's possible for an evaluated technology to post weaker net scores in one or more categories, and end up yielding stronger final influence scores. This is intentional. These categories are not intended to represent cumulative virtues. Should Kubernetes ever find that magic formula that guarantees its vendors revenue for the long-term, as it very well may, that final score could be pulled closer to 0, or at least toward the centerline of the X-axis?

But if a technology cracks the customer value barrier, so that not only is it necessary but desired, then that final influence score could skyrocket. What company has ever sustained itself in business for an extended period of time, earning value for its shareholders and also benefitting communities and society as a whole, without also generating products and services that have high perceived value? And what industry has ever come to fruition with a plurality of organizations that could successfully accomplish the first two, but not the third?

Here for the first time, we have enough background data to render a comparison between evaluated technologies. Notice in this comparison, we've zoomed in somewhat, narrowing our scale from 10 points in both directions to 3 points. Our benchmark is the World-Wide Web as of September 12, 2001, when that new technology faced the opportunity to bring a society together. It posted a strong positive score that leaned somewhat toward societal benefits, and away from corporate benefactors. 5G edge computing has nearly found that balance between altruistic and self-serving interests and could post a much stronger influence score if it can make a stronger value proposition.

The CNE is highly slanted toward the altruistic, self-sacrificing, part of the chart. That's a good thing, but only for a short time -- which is why the metaphor for this series is a pendulum.

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Is cloud-native computing as influential as its stacked up to be? [Status Report] - ZDNet

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Cloud computing Market Key Players And Information Analysis Covering COVID-19 Analysis With Forecast 2020-2030 – The Courier

United Kingdom, Date, 16 Feb 2021 FATPOS Global recently added a new report titled Cloud computing Market 2020: By Types, Applications, Industry Size, Share, COVID-19 Impact Analysis and Forecast to 2030 in its database. The global Cloud computing Market size and share 2018 report includes an in-depth overview of the research report and industry trends throughout the forecast period.

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UTEP Civil Engineering Professor honored as El Paso Engineer of the Year – El Paso Herald-Post

Soheil Nazarian, Ph.D., professor of civil engineering at The University of Texas at El Paso, was named Engineer of the Year by the Texas Society of Professional Engineers (TSPE) El Paso Chapter for his vast academic, professional and community contributions.

I am so humbled to be selected for this recognition. It means a lot more when you are recognized by your local colleagues, Nazarian said. I am so proud to be part of the El Paso engineering community for the last 33 years.

Nazarian serves as director of the Universitys Center for Transportation Infrastructure Systems. He has more than 30 years of industry and academic experience in the area of transportation infrastructure, with an emphasis on structures materials, such as that of highways and bridges.

His academic experience includes research and teaching positions at UTEP and The University of Texas at Austin. He holds a patent for the moveable seismic pavement analyzer, a nondestructive testing device used in evaluation of transportation infrastructure.

Nazarian has contributed to more than 90 research projects focused on nondestructive materials testing and materials applications, and is the author of more than 300 industry-related articles and publications. He has directed more than 75 theses and dissertations during his tenure at UTEP.

The TSPE El Paso Engineer of the Year Award is the highest honor given to a professional engineer by the chapter. Chapters nominate eligible candidates for consideration at the state and local level.

Recipients of the award are engineers whose sustained and unusual contributions have improved the public welfare and the advancement of their profession.

Nazarian will be recognized during the TSPE Engineers Week virtual banquet February 26.

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Who Are Tomorrow’s Engineers? Meet Five with Big Ideas – Tufts Now

Engineers Week, a nationwide event, runs this year Feb. 21-27, celebrating engineering and engaging the next generation of innovators. At Tufts School of Engineering, E-Week, as its best known, may be scaled back this year, but networking events and film discussions are still planned.

In keeping with this years theme Imagining Tomorrowencompassing role models, diversity, and what the future holdsTufts Now reached out to five students to learn more about what drew them to engineering, what they value about their Tufts experience, and how they hope to use what they are learning out in the worldand beyond.

Zharia Akeem, E24

Zharia Akeem, a Detroit native, is double majoring in computer science and biomedical engineering. Her passion for engineering was encouraged by a summer program at MITs Office of Engineering Outreach, and through the Bridge to Engineering Success at Tufts (BEST) program.

When I started taking engineering classes, I fell in love with the idea of making something out of nothing. For my first project in Introduction to Computational Design, I made something from scratch. I was able to see the entire process and then see how it worked at the end. At that moment, I knew that I was definitely going to stick with engineering.

My dream job is to be a trauma surgeon back in my community in Detroit. Im going to start by being a combat surgeon in the Army. I have family members, my brothers and uncles and cousins, who served in the military.

I also wanted a job that would enable me to go back to my community, because Detroit is a majority African-American city without a lot of African-American doctors, and certainly not a lot of Black trauma surgeons or woman trauma surgeons, which can create trust and communication barriers. My hope is to do bootcamp before medical school, and after school do my residency in a military-approved program, and then ultimately go back to Detroit after I have served.

One highlight of my time is studying with English lecturer Jennifer Minnen. She encouraged me to write papers on scientific research, which was a really good experience. She introduced me to other people on campus who know about research going on at the university, and was open to helping me do the things that I wanted to do.

Since Ive been here, the student body in the engineering department, as well as the professors and the TAs, have been so welcoming. Ive never felt more like a part of a community than I have at Tufts and at the engineering program.

Everyones trying to do something, everyones trying to create something and make a difference and break some type of barrier. They motivate me to try to do more, to learn more things.

Tyler Frasca, Ph.D. candidate

Tyler Frasca came to Tufts from Wentworth Institute of Technology to pursue graduate studies in human-robot interaction. He was the lead on the Tufts team for the 2017 NASA Space Robotics Challenge, in which Tufts was one of 20 finalists out of 93 competing teams.

What Ive always enjoyed is taking things apart and putting them back together, and being able to innovate on different ideas. Growing up I was always taking things apart. Once I built a little device mounted next to my bed; it had two strings wrapped around it that attached to the light switch on the wall. I was able to sit in bed and turn on and off the light without having to get up.

More recently, when at Wentworth, my friend and I designed and programmed a hexapodor six-leggedrobot. I was just like, Wow. I was able to build this awesome little robot and program it to walk on its own. It was fascinating that I could create things that could be self-sufficient.

So, solving problemsespecially that help other people, including yourself, to do things that you wouldnt normally be able to dothats what I love about engineering.

My highlight experiences at Tufts have been working with Professor Matthias Scheutz and the team in the Human-Interaction Lab. I remember the first time I taught one of our NAO robots how to dance, in the sense that raised its arms, squatted down, and then stood back up. It was a lot of fun, being able to see my work, to design a system that allows the robot to learn new tasks.

Our work on humanoid robot capacity for the NASA competition was a highlight, too. Ever since, Ive been working on teaching robots through natural languagebeing able to verbally explain a task to a robot instead of having to program it specifically.

What were trying to do is develop robots that learn new tasks or action sequences by equipping them with an initial vocabulary and understanding of phrases, so they learn words online through reasoning and inference.

My dream job would be to have my own robotics and artificial intelligence company. I have had some interest in assistive home care robots. Another side of me is also very interested in space exploration, so Im little bit torn between those two applications.

That said, a lot of the internal pieces in the robotic architectures can definitely be applicable to both, and thats something that I really like about these cognitive robotic architecturesthe widespread applications; theyre not necessarily specific to a single problem.

Yiwen Jiang, E21

Yiwen Jiang, majoring in computer engineering, is a student leader of the IEEE-HKN chapter at Tufts and involved with the Women in Technology (WiT) student group. She is also first author on a recent paper in Scientific Reports that describes an application of thread sensors to classify head motion in real time, with potential implications for tracking health and performance.

When I started taking engineering classes, I fell in love with the idea of how the knowledge we learned in class is so closely related to the real world. More importantly, we are given opportunities to see and understand the discrepancies between the theory and the real world and ways we have to account for them when we design.

The junior and senior design classes have been especially great. The class provides a gateway to the real-world work environment, from our usual school environment. We are constantly being reminded to do things that would provide efficient communications and get work done, rather than do things just to turn the homework in and get the grade. I really appreciated the emphasis on teamwork and collaboration too.

Another highlight has been the chance to be part of an exciting discovery with smart threads by working with Tufts Nanolab. When I decided to major in electrical engineering, I wasnt thinking of the medical field, but after I read how machine learning and image processing algorithms were being used in CT scans to diagnose COVID-19, it inspired me to look into electrical engineering applications in the medical field.

As a student of engineering, you have to learn to be willing to acknowledge your mistakes. I think one of the fastest ways to learn is through making mistakes, but you have to admit it to learn from it. It might not need to be a huge mistakemany times its just as simple as admitting that there is always room for improvement. If I have a strength as an engineer, its my ability to learn new things. I think as an engineer it is really important to not be intimidated by new things.

My dream job is to continue working on designing things that would improve peoples lives. I have interests in lots of areas, but there isnt a specific area or job that I want. Im planning on going to graduate school and would love to explore a bit more, so Im staying open-minded.

Myisha Majumder, E21

Myisha Majumder has been named one of 2021s 10 New Faces of Civil Engineering (collegiate edition) by the American Society of Civil Engineers. A double major in civil engineering and quantitative economics, she hasparticular interest inthe intersection of the environment, equity, and energy and has worked at theApplied Economics Clinicas a research assistant for more than two years. Last fall, she was editor-in-chief of theTufts Observer(the first engineering student in the position, she believes), and is also an executive board member for the student-run think tankSYNS, organized through Tisch College of Civic Life.

When I started engineering classes, I fell in love with the idea of thinking about problems and systems, not just at the level of one piece in a puzzle, but as a whole, with the idea of building things that in ways both tangible and intangible that better the world.

That way of thinking is very relevant especially now, when were thinking about things like systemic racism more critically. Nothing we do in engineering is really isolated; thats something that weve been taught from day one. Nothing is just moving by itself in one part; its connected to a broader system, and we have to think about our place in the world like that, too.

Im really grateful for how flexible and forward thinking the School of Engineering has been for me. I really appreciate the fact that I was given the opportunities to explore things other than very traditional engineering and to find support.

My advisor in the economics department, Professor Ujjayant Chakravorty, studied civil engineering as an undergrad, so it was cool finding him. And my engineering advisor, Assistant Professor Jonathan Lamontagne, was a political science major before he switched to engineering. So I found my people. They knew where I was coming from.

In the Hidden Figures movie, something that really stuck out to me was Mary Jackson telling her supervisor that she wants to study engineering and the supervisor encouraged her. She really struggled, both due to systemic barriers and personal issues, but she went on. That is emblematic of how I have seen engineering in my time at Tufts.

If professors see something in you that is innate, like the ability to solve problems and to push yourself, they will encourage you to stretch your boundaries so that you can prove that youre strong and you can tough it out.

The biggest thing is that you have to learn to be resilient and recover from your failures. I dont think engineering was ever designed to be easy. Failure is often seen as a bad thing, but in my opinion, a lot of the times, it is the only way we can grow.

Over time you realize that failures arent as important as what youre learning. Even the classes that Ive done the worst in, Ive learned the most, because Ive realized just how resilient I am and I can keep going. Overall, that growth mindset is extremely important for engineers.

Im hoping that there will be more diversity in engineering; thats something Ive advocated for and will continue to advocate for as a woman of color. I have definitely grown used to the feeling of being othered. I went to a very predominantly white public school system my entire life, and then came here.

So, it wasnt necessarily jarring by any means, but amplifying unique voices is really important in engineering. Once we recognize that all voices matter to us as a community, I think we can start to use our unique skills to progress society at a much deeper level than we have so far, and that means incorporating more diverse voices.

Eduardo Vargas Gutierrez, E22

Eduardo Vargas Gutierrez is a double major in mechanical engineering and mathematics, a STEM Ambassador (an outreach program run by the Center for STEM Diversity and open to students from the School of Arts and Sciences and the School of Engineering), and member of the Tufts Society for Latinx Engineers and Scientists, as well as a mathematics tutor for the StAAR Center.

When I started taking engineering classes, I fell in love with the idea of product design. To sketch out an idea, make calculations for its performance, and then build, test, improveI absolutely love that process.

One of my Tufts highlights was from an engineering design class with Associate Teaching Professor Gary Leisk. We were given a structure thats shaped like the letter C, and using a 3D program, we had to design a new structure that would be able to bend to a certain degree and also suffer a certain amount of stress. My team went over more than 100 iterations to get what we wanted. Then our professor built it and tested it, and it performed exactly as we predicted. That was mind blowing.

To be a good engineer you have to think analytically, but also creatively. Even more important is to think of the impossible rather than just what is possible. I strongly believe that the work that Im doing here at Tufts is bringing a different definition to impossible.

People are often too quick to say No way, you cant do that. In most casesalmost alltheres always a solution. You also have to learn to be OK with a lot of failure. Something always goes wrong, but thats fine, because that allows for a lot of further thinking and reassessing and improving. At the end of the day, the good things, the meaningful things, are going to take time.

My dream job is to build either landers or rovers to support space exploration, whether it be to explore new planets, moons, whatever it is. A summer internship at Northrop Grumman in their aerospace systems division affirmed my goal to build rockets to go to Mars.

I just want to build things that are able to travel from Earth to somewhere thats millions of miles away and have it fulfill its purpose, whether its gather biological samples, or even crash into the surface, so we can explore whats out there in this insanely massive universe.

My job as a STEM ambassador is important to me too, as I think about the future of engineering. I know there are other kids who are in similar situations to methey have a lot of big ideas and so much potential, but they might not know that STEM is for them.

But once you realize that is a possibility, countless doors open, and you understand all the things you can do for the world and for yourself. I was fortunate that my family was always encouraging. I learned early on: Just keep getting educated and chase your crazy dreams.

Laura Ferguson can be reached at laura.ferguson@tufts.edu.

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UW partners in new postdoctoral program to diversify the science and engineering faculty at America’s research universities – UW News

News releases

February 19, 2021

Suzzallo Library at the University of WashingtonPamela Dore/University of Washington

At our nations research universities, including the University of Washington, underrepresented minorities make up less than 6% of the faculty across non-medical science, technology, engineering and mathematics (STEM) fields. This severe underrepresentation among faculty has persisted for decades and comes, in part, from a lack of diversity among the doctoral students and postdoctoral scholars in these fields who elect to pursue faculty positions.

In turn, the lack of diverse science and engineering faculty discourages students of color from pursuing degrees in these fields a negative feedback loop that has proven difficult to break.

With the help of new grants from the National Science Foundation and the Washington Research Foundation, UW is attempting to address this problem by combining efforts across an alliance of top research universities.

The time has come for change, said UW Provost Mark Richards. Not years from now, but in the immediate future.

The newly formed Research University Alliance joins UW with eight other leading research institutions, including University of California, Berkeley; California Institute of Technology; University of California, Los Angeles; Stanford University; University of Michigan; Harvard University; Georgia Institute of Technology and University of Texas at Austin.

Based on a well-tested precursor, the California Alliance, the larger Research University Alliance is working at many levels to redefine how doctoral students are mentored into the postdoctoral ranks, and how postdoctoral scholars are hired and mentored into faculty positions.

The Research University Alliance funds exchange visits across all of the nine partnering institutions, matching students and postdocs with faculty hosts in their area of research. Visits allow these early career scientists to share their work and ideas, learn new techniques and approaches, engage in collaborative discussions and innovation, and broaden their career opportunities. Annual retreats bringing all exchange participants together and professional development programming are also major components of the work of the alliance.

Mark Richards, Joy Williamson-Lott, Julia ParrishUniversity of Washington

A key component of this effort connecting underrepresented minority senior doctoral students with postdoctoral opportunities across the alliance will be led by UW, under the co-direction of College of Environment Associate Dean Julia Parrish, Graduate School Dean Joy Williamson-Lott and Provost Richards.

The statistics are concerning. Just 8.5% of doctoral students in these science and engineering departments identified as underrepresented minorities, significantly lower than the demographics of the U.S. But these numbers are halved at the postdoc and faculty levels to just 3.9% of postdoctoral researchers and faculty.

That loss is a crucial starting point, Parrish said.

Unlike the hiring process for faculty, which usually involves advertising open positions, the hiring of postdoctoral researchers has relied more on word-of-mouth networks among academics.

Put simply, we are looking to establish a new network at the graduate and postdoc level that doesnt depend on who you already know or are connected to, but is instead dependent on the excellent, interesting, edgy work that they do, said Parrish. This new system will vastly improve upon the old networks.

As part of the alliance, the UW is creating a web portal for postdocs and senior graduate students to showcase their work, and for participating university partners to post postdoctoral positions.

In many fields, postdocs are vital positions to hold before becoming faculty or before becoming an entrepreneur, said Williamson-Lott. Its an incredibly important space. And so we want to force that space open to allow more people to be able to enter it, and compete in it, and then benefit from it.

The Washington Research Foundation is dedicated to the diversification of science, Richards said, and the Washington state-based organizations funding, $50,000 per year for the next four years, will be paired with the NSF/AGEP funds and funds from the Colleges of Engineering, Arts & Sciences, and Environment, and the Applied Physics Laboratory to allow UW to join with other institutions and meet the goal to attract more diverse candidates to the postdoc ranks and the professoriate.

Im glad to be part of an institution that values diversity, pursues it aggressively and refuses to stand still, and wants to be part of the solution rather than the problem, Williamson-Lott said. It speaks very highly for our institution to participate in this.

For more information, contact Parrish at jparrish@uw.edu.

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This former Microsoft engineering exec is now working to fix bugs in the U.S. political system – GeekWire

Jon DeVaan, former Microsoft engineering leader and board member of Represent Us.

Jon DeVaan, a former Microsoft Windows engineering leader, knows a thing or two about addressing flaws in complex systems.

When there was a bug or a class of bugs, you didnt just go and fix them, he says, describing the systems perspective that he and his former colleagues used. You actually asked, how did this bug happen? What were the underlying conditions? How could we have structured the engineering process differently so that this bug wouldnt have happened?

In recent years, DeVaan has been applying the same type of thinking to his work in political reform. He has become deeply involved in political reform since retiring in 2013after 30 years at the company, including a role on the board of Represent Us, a bipartisan organization seeking to end corruption in politics.

Its not going to be enough just to beat a few politicians in a few elections, he says. We have to go back and examine things like the incentive structure. Why are politicians behaving the way that they behave?

DeVaan spoke about his work in political reform on a recent episode of the GeekWire Podcast. Continue reading for edited excerpts from his comments.

How he got involved in political reform: So, think back in time, its about the year 2000. Microsoft is in the throes of its antitrust trial. And Orrin Hatch, in veiled, but clear language tells Microsoft, If youd have been giving your political contributions, you wouldnt have any of this trouble now, which is a fantastically corrupt statement. And of course, we werent dummies at Microsoft. Not dummies now either, just to be clear. So we started giving our political contributions. Thats when the Microsoft PAC (Political Action Committee) was created.

And it was an insider seat that I had to see how ridiculous it was, and how wrong it was, but necessary if you wanted to have a seat at the table in government. When I left in 2014, I started investigating how we can fix this. And thats how I came to know Represent Us, which I like because of its execution ability, the way it talks about the political system as having been corrupted, and also the set of policies that we champion around the country to fix it, and make it not have to be a pay-to-play system anymore.

What about the impact of disinformation on the political system? We absolutely have to figure out what to do about disinformation. And whats interesting is that that duopoly structure and the incentives that it creates is why political parties dont push back on people foisting the disinformation. And just recently we had the president of the United States foisting the disinformation. If we can change the incentives, then the disinformation will settle down. But I agree that in the long run, we still have to do a lot of work to figure out how to make sure that the marketplace of ideas is really competitive.

What should companies do right now while were waiting for reform? First of all, all companies that have paused their donations, I think thats a very positive thing. And I hope that they join Microsoft at least in the embargo of donations to people who contributed to what happened on January 6. I think thats really a bare minimum.

What about the larger issue of campaign finance? Represent Us advocates a policy we call the American Anti-Corruption Act. And actually back in 2015, that Anti-Corruption Act was used as a starting point for what eventually became the Seattle Honest Elections Law. The way that public financing works in Seattle with the ethics board and the public vouchers, we see is the best way to do public financing of campaigns. And we believe that all campaigns should be publicly financed.

How is Seattles implementation of this concept working? I think its working pretty well. Youre seeing the amount of money that flows into elections becoming much more even. Its not just the high wealth zip codes that are contributing money to elections now. I think thats a really positive thing. Youre seeing a lot more people run, and I think thats a really positive thing. And that has to lead to better representation of people inside the city. And we have some tough issues inside the city now with homelessness and Amazon and other things. And as far as I can tell, the citizens arent necessarily super aligned on what should happen. I think that means we have to have more voices inside the political process trying to influence it so that we can figure it out.

Further steps: There is a historic opportunity right now to support the For the People Act, HR 1, in Congress. It gets positioned as a Democratic Party thing thats bad for Republicans, but its really not. If you have concerns about making sure that voter rolls are accurate, if you have concerns about that votes are secure and that you can do audits to make sure that the election results are correct, you want HR 1 to pass.

This notion of how politicians choose their voters instead of voters choosing their politicians through gerrymandering is probably the number-one cause that leads to polarization. If you dont like that, HR 1 will stop gerrymandering by drawing districts with a non-partisan commission. Really important.

If you dont like the way that that money and lobbying influence works in Congress, HR 1 helps that. And it has some beginnings on helping balance the powers so that the executive branch just cant ignore the oversight capabilities of Congress.

So those are all really positive things. They are not partisan in any way. They are just about making the system better, make it easier for citizens to express their will at the ballot box, and in a way that hopefully it will foster honest and reasonable debate going into the future.

See this post for Jon DeVaans list of recommended books, articles and other resources that have informed his understanding of these issues.

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