Wevolver&rsquo;s University Technology Exposure Program invited student-researchers from across the globe to showcase their projects to thousands of engineers and company owners. The event was open to recent graduates and saw the participation of dozens of students and teams.We are happy to announce Mikhail Basov, the winner of the University Technology Exposure Program 2022. Mikhail receives a prize of $5,000 for his research work on a novel circuit design, &lsquo;piezo sensitive differential amplifier with negative feedback loop (PDA-NFL).&#39;This article summarises the winning project and six other submissions that were shortlisted for the final evaluation by the jury.<h2 dir="ltr">The Jury</h2>Rachel Gordon, Ash Ravikumar, and Bram Geenen were part of the jury. Rachel holds a bachelor&#39;s in international relations. She is currently working with the Computer Science and Artificial Intelligence Laboratory (CSAIL), Massachusetts Institute of Technology (MIT), as a Communications &amp; Media Relations Officer. Ash is in charge of the Business Incubation Centre (BIC) at the European Council for Nuclear Research (CERN). The goal of BIC is to cultivate a culture of entrepreneurship. Bram is the CEO and Co-founder of Wevolver, an award-winning one-of-a-kind platform dedicated to sharing knowledge and creating networking opportunities.<img src="https://images.wevolver.com/eyJidWNrZXQiOiJ3ZXZvbHZlci1wcm9qZWN0LWltYWdlcyIsImtleSI6ImZyb2FsYS8xNjYyNzM5OTM5NzAyLUp1cnkucG5nIiwiZWRpdHMiOnsicmVzaXplIjp7IndpZHRoIjo5NTAsImZpdCI6ImNvdmVyIn19fQ==" class="fr-fic fr-dii" alt="rachel-gordon-ash-ravikumar-bram-geenen-utep-2022-jury"><h2 dir="ltr">The winner: <a href="https://www.wevolver.com/article/novel-circuit-design-approach-makes-pressure-sensors-smaller-and-more-sensitive" target="_blank">Novel circuit design approach makes pressure sensors smaller and more sensitive</a> - <a href="https://www.wevolver.com/profile/mikhail.basov" target="_blank">Mikhail Basov</a></h2>Micro-electromechanical systems (MEMS) sensors are miniature devices built by fabricating mechanical and electronic components responsible for carrying out the sensing process on a silicon chip. These devices have the advantage of small size and are widely used in various sectors, including manufacturing industries, biomedical applications, consumer products, and more. Balancing the performance and size of components is one of the main challenges faced by an R&amp;D engineer working in the field of MEMS.<img src="https://images.wevolver.com/eyJidWNrZXQiOiJ3ZXZvbHZlci1wcm9qZWN0LWltYWdlcyIsImtleSI6ImZyb2FsYS8xNjYyNzI2NDk3MTU4LUdyb3VwIDV0ZXN0LnBuZyIsImVkaXRzIjp7InJlc2l6ZSI6eyJ3aWR0aCI6OTUwLCJmaXQiOiJjb3ZlciJ9fX0=" class="fr-fic fr-dii" alt="mikhail-basov-wevolver-university-technology-exposure-program-2022-winner">New sensor design and fabrication processes add incremental improvements to the technology, but most sensors have used the classic Wheatstone bridge circuit for more than 50 years. Mikhail proposes a novel circuit design, &lsquo;piezo sensitive differential amplifier with negative feedback loop (PDA-NFL)&rsquo;, that aims to significantly improve the sensitivity and reduce the size of the sensor.The market (after first-level packaging for MEMS pressure sensors) is currently growing with a CAGR of 5.1% and will reach $2.2B in 2022 vs. $1.6B in 2020). The presented pressure sensor chip PDA-NFL, or rather the type of the proposed electrical circuit, will have high relevance for applications in all fields that require precise pressure sensing. Here are some examples of its applications:<ul><li dir="ltr">In automotive systems, the novel circuit can be used for powertrain, Manifold Absolute Pressure (MAP), Barometric Air Pressure (BAP), particle filter, fuel tank, exhaust gas recirculation, engine oil, automatic transmission oil, Tire Pressure Monitoring System (TPMS), brake booster, side airbags, pedestrian protection, and more.</li><li dir="ltr">It can be used in consumer electronic products such as smartphones, watches, Internet of Things (IoT) devices, smart home devices, etc.</li><li dir="ltr">Industrial systems can also extensively use such sensing circuits in applications such as Heating, Ventilation, and Air Conditioning (HVAC), industrial process controls, and transportation.</li><li dir="ltr">PDA-NFL is relevant in medical systems such as blood Monitoring (invasive), respiratory care, and smart inhalers.</li><li dir="ltr">The technology can also be applied to the Defense/Aerospace sector in air data acquisition, Full Authority Digital Engine Control (FADEC), hydraulics, etc.</li><li dir="ltr">Additionally, the pressure sensor chips PDA-NFL can be used in a variety of studies and research in hydromechanics, robots, biophysics, acoustics, geophysics, and a lot of other projects.</li></ul>Read the complete article by Mikhail here: <a href="https://www.wevolver.com/article/novel-circuit-design-approach-makes-pressure-sensors-smaller-and-more-sensitive" target="_blank">Novel circuit design approach makes pressure sensors smaller and more sensitive</a>.In addition to the winning article, here are the six other articles that were shortlisted for the final round of evaluation by the jury:<h3 dir="ltr">The runner-up: <a href="https://www.wevolver.com/article/how-to-survive-on-mars" target="_blank">How to Survive on Mars?</a> - <a href="https://www.wevolver.com/profile/mark.baldry" target="_blank">Mark Baldry</a></h3>Did you know that it would take around 225 tonnes of rocket fuel to deliver a single tonne of any material (including fuel) to the martian surface? Transporting materials from the earth during space travel is among the biggest engineering challenges faced by space exploration teams. Long-duration exploration missions would just not be possible if the astronauts were to depend on transporting all life-supporting systems from the earth.&nbsp;To solve this problem, engineers are looking to convert raw materials available on the heavenly body into useful products. Martian regolith, the grainy layer of dust and rock covering mars&rsquo; surface, can be used to extract water, breathable oxygen, and alloys. Using a systematic approach, raw materials can be converted into versatile, small molecules, which can be combined in a variety of ways to form valuable products.In this submission by Dr. Mark Baldry from the University of Sydney, he explains an integrated system for producing essential materials on Mars using local resources, paving the way for self-sufficient settlements. The applications for this technology are not limited to a Martian settlement but may also form the basis of establishing a Lunar refueling station to facilitate trips to Mars and the wider solar system. Closer to home, this technology can help remote communities in harsh conditions be less reliant on expensive resupply.Here is the link to the article: <a href="https://www.wevolver.com/article/how-to-survive-on-mars" target="_blank">How to Survive on Mars?</a>&nbsp;<h3 dir="ltr">The runner-up: <a href="https://www.wevolver.com/article/making-3d-printers-smarter-with-mtouch-a-low-cost-automatic-fault-detection-system" target="_blank">Making 3D printers smarter with MTouch, a low-cost automatic fault detection system</a> - <a href="https://www.wevolver.com/profile/sam.aidala" target="_blank">Sam Aidala</a></h3>Desktop fused filament fabrication (FFF) 3D printers are fast gaining popularity as low-volume manufacturing tools. They work by heating plastic filament and extruding it through a nozzle onto a bed. A major issue with such printers is that it is extremely difficult to find out defects until the printing is complete. Manually monitoring the whole process is not an option as the process sometimes takes a long time.Sam Aidala, a recent graduate from the University of Michigan (UoM) explains in the article how a team of researchers from the Smart and Sustainable Automation Research Lab (S2A Lab) at the UoM has developed an augmentative solution for FFF 3D printers capable of detecting multiple types of faults in real-time. It is a module that determines if the object being printed has millimeter-scale geometric defects. It checks for the presence or absence of the print at specific locations and compares it to pre-computed expected results.Check out the submission by visiting this link: <a href="https://www.wevolver.com/article/making-3d-printers-smarter-with-mtouch-a-low-cost-automatic-fault-detection-system" target="_blank">Making 3D printers smarter with MTouch, a low-cost automatic fault detection system</a><h3 dir="ltr">The runner-up: <a href="https://www.wevolver.com/article/modeling-design-and-control-of-a-hosing-drone-unmanned-aerial-system" target="_blank">Modeling, Design, and Control of a Hosing-Drone Unmanned Aerial System</a> - <a href="https://www.wevolver.com/profile/blake.hament" target="_blank">Blake Hament</a></h3>Workers put themselves in danger every day to clean bridges and overpasses with pressure washing. Often, they are suspended beneath or beside the infrastructure while spraying at a pressure of over 3000 PSI. Water and debris can splash back into the workers&#39; eyes, noses, and mouths, or worse, dislodge them from their precarious perches. Frequent injuries are reported.To make the job safer and faster, Blake Hament, a Ph.D. student at the University of Nevada, Las Vegas introduces a multicopter that can fly close to bridges, overpasses, and other pieces of large infrastructure to perform high-pressure washing. Water is pumped to high pressure on the ground and then sent to the drone via a hose. As water sprays from the actuated nozzle on the drone, the flight controller compensates for high reaction forces and torques due to the spraying.Read the submission here: <a href="https://www.wevolver.com/article/modeling-design-and-control-of-a-hosing-drone-unmanned-aerial-system" target="_blank">Modeling, Design, and Control of a Hosing-Drone Unmanned Aerial System</a><h3 dir="ltr">The runner-up: <a href="https://www.wevolver.com/article/design-inspiration-from-woodpeckers-could-allow-robotic-arms-to-be-bendable-and-extendable" target="_blank">Design inspiration from woodpeckers could allow robotic arms to be bendable and extendable</a> - <a href="https://www.wevolver.com/profile/ayato.kanada" target="_blank">Ayato Kanada</a></h3>Woodpeckers have flexible and extendable tongues that they use to reach their prey through tiny openings in trees and insect burrows. The special anatomical features of woodpeckers manipulate their surprisingly long tongues. Unlike human and anteater tongues, which are made mainly of muscle, the woodpecker&#39;s tongue is rigidly supported by the bones.The team behind the project aims to take inspiration from the woodpecker&rsquo;s tongue to combine the benefits of both conventional and soft robotics to develop something like Dr. Octopus&rsquo; arms in reality. The resulting robotic hands that operate in unstructured environments can unlock multiple opportunities for application in biomedical instrumentation, manufacturing, space research, agriculture, and numerous other fields of engineering.Visit this page to read the complete article: <a href="https://www.wevolver.com/article/design-inspiration-from-woodpeckers-could-allow-robotic-arms-to-be-bendable-and-extendable" target="_blank">Design inspiration from woodpeckers could allow robotic arms to be bendable and extendable</a><h3 dir="ltr">The runner-up: <a href="https://www.wevolver.com/article/surface-engineered-nickel-rich-cathode-material-enabling-high-power-discharge-for-li-ion-battery-applications" target="_blank">Surface engineered nickel-rich cathode material enabling high power discharge for Li-ion battery applications</a> - <a href="https://www.wevolver.com/profile/anish.raj.kathribail" target="_blank">Anish Raj Kathribail</a></h3>Electric Vehicles (EVs) are all set to replace vehicles powered by fossil fuels. But to be successful and offer performance equivalent to conventional vehicles, they need batteries that can function with high power for an extended period of time.&nbsp;Nickel-rich materials like LiNixMnyCozO2 (NMC, x+y+z=1; where x&ge;0.5) are a popular choice for making the cathode due to their high specific capacity but undergo a drastic capacity loss, especially at high voltages due to a side reaction.The article explains a surface-coating technique for NMC particles that improves the Lithium-ion battery&#39;s total available capacity and high-power performance. The technology can be applied in vehicles, drones, power tools, military, grid storage, electronics, and more.Link to the complete article: <a href="https://www.wevolver.com/article/surface-engineered-nickel-rich-cathode-material-enabling-high-power-discharge-for-li-ion-battery-applications" target="_blank">Surface engineered nickel-rich cathode material enabling high power discharge for Li-ion battery applications</a><h3 dir="ltr">The runner-up: <a href="https://www.wevolver.com/article/predictive-model-of-adaptive-cruise-control-speed-to-enhance-engine-operating-conditions" target="_blank">Predictive Model of Adaptive Cruise Control Speed to Enhance Engine Operating Conditions</a> - <a href="https://www.wevolver.com/profile/srikanth.kolachalama" target="_blank">Srikanth Kolachalama</a></h3>Cruise control is a feature that helps a vehicle maintain its speed when being driven on long loads. It reduces driver fatigue and is a commonly available feature in many personal vehicles. Adaptive Cruise Control takes a step forward by allowing vehicles to detect and adjust their speed depending on the presence and speeds of other vehicles.This article presents a novel methodology to predict the optimal Adaptive Cruise Control Set Speed Profile (ACCSSP) by optimizing the Engine Operating Conditions (EOC) considering Vehicle Level Vectors (VLV). The work investigates EOC criteria to develop a predictive model of ACCSSP in real-time.Here is the link to the submission: <a href="https://www.wevolver.com/article/predictive-model-of-adaptive-cruise-control-speed-to-enhance-engine-operating-conditions" target="_blank">Predictive Model of Adaptive Cruise Control Speed to Enhance Engine Operating Conditions</a><h3 dir="ltr">Jury&rsquo;s remarks</h3>The competition was extremely tough due to the variety and novelty of the articles submitted by the participants this year.<blockquote>Talking about the submissions, Ash mentions, &ldquo;This year&#39;s shortlist is insanely amazing, and I really struggled with rating them. I was very torn on &ldquo;judging&rdquo; them. I don&rsquo;t think I have done justice.&rdquo;</blockquote>Rachel feels the societal relevance and impact category was extremely robust this year, touching critical verticals and applications in many relevant research areas.&nbsp;<blockquote>She says, &ldquo;The novelty bar is set very high given my exposure to research at CSAIL - for example, recent work I&#39;ve seen such as an ML model for adjusting and monitoring 3D printing process to correct errors in real-time, a lot of bio-inspired robotics, drone usage for crops, using cubic boron arsenide for chips, and so on. For the quality section, I also focused on what could potentially be scalable and feasibly extrapolated.&rdquo;</blockquote>Ash found Mikhail&rsquo;s NFA-PDL circuit and Ayato Kanda&rsquo;s woodpecker-inspired robotic arm the most innovative and technically novel projects. Among the runner-up, Ash was impressed by Sam Aidala&rsquo;s MTouch &lsquo;3D printer fault detection system&rsquo; and &lsquo;surface-engineered nickel-rich cathode material enabling high power discharge for Li-ion battery applications&rsquo; by Ayato Kanda.Along with Mikhail&rsquo;s project, Rachel rated Srikanth Kolachalama&rsquo;s &lsquo;Predictive Model of Adaptive Cruise Control Speed to Enhance Engine Operating Conditions high in terms of quality of engineering and social relevance.Ash congratulates the winners and the Wevolver team for the event&#39;s success.<blockquote>He adds, &ldquo;It is a pleasure to be a part of this event. Please continue this effort. It&rsquo;s amazing to see that you are providing a platform to showcase great engineering globally&rdquo;.</blockquote><h3 dir="ltr">Conclusion</h3>On that note, Wevolver&rsquo;s University Technology Exposure Program 2022 comes to an end. Wevolver thanks all the readers, participants, sponsors, and jury members for making the event a huge success. We wish the participants all the best for their future.&nbsp;Until then, do check out some previously published featured UTEP articles by visiting these links:<ul><li dir="ltr"><a href="https://www.wevolver.com/article/university-technology-exposure-program-2022-july-august-final-update/" target="_blank">University Technology Exposure Program 2022: July-August Final Update</a></li><li dir="ltr"><a href="https://www.wevolver.com/article/university-technology-exposure-program-2022-june-update" target="_blank">University Technology Exposure Program 2022: June Update</a></li><li dir="ltr"><a href="https://www.wevolver.com/article/university-technology-exposure-program-2022-may-update" target="_blank">University Technology Exposure Program 2022: May Update</a></li><li dir="ltr"><a href="https://www.wevolver.com/article/university-technology-exposure-program-2022-april-update" target="_blank">University Technology Exposure Program 2022: April Update</a></li><li dir="ltr"><a href="https://www.wevolver.com/article/university-technology-exposure-program-2022-march-update" target="_blank">University Technology Exposure Program 2022: March Update</a></li><li dir="ltr"><a href="https://www.wevolver.com/article/university-technology-exposure-program-2022-february-update" target="_blank">University Technology Exposure Program 2022: February Update</a></li></ul><h2 dir="ltr">About the University Technology Exposure Program 2022</h2>Wevolver, in partnership with <a href="https://mouser.com/" target="_blank">Mouser Electronics</a> and <a href="https://www.ansys.com/" target="_blank">Ansys</a>, organized University Technology Exposure Program 2022. The program aimed to recognize and reward innovation from engineering students and researchers across the globe. Learn more about the program <a href="http://www.wevolver.com/student-program" target="_blank">here</a>.<img alt="university-technology-exposure-program-mouser-ansys" src="https://images.wevolver.com/eyJidWNrZXQiOiJ3ZXZvbHZlci1wcm9qZWN0LWltYWdlcyIsImtleSI6ImZyb2FsYS8xNjYyNzE3ODIwMzQwLTE2NjI3MTc4MjAzNDAucG5nIiwiZWRpdHMiOnsicmVzaXplIjp7IndpZHRoIjo5NTAsImZpdCI6ImNvdmVyIn19fQ==" class="fr-fic fr-dii">

University Technology Exposure Program 2022 invited student researchers to submit articles on their innovative projects and ideas. It’s time to announce the winner of the event who wins a prize of $5,000.

Announcing the Winner of the University Technology Exposure Program 2022

This article is a part of our <a href="http://www.wevolver.com/student-program" target="_blank" style="border: 5px solid orange;">University Technology Exposure Program (EXTERNAL)</a>. The program aims to recognize and reward innovation from engineering students and researchers across the globe.#1. <a href="https://www.wevolver.com/article/conceptual-design-of-smart-multi-farm-produce-dehydrator-using-a-low-cost-plc-and-raspberry-pi" target="_blank" style="border: 5px solid green;">Conceptual design of smart multi-farm produce dehydrator using a low-cost PLC and Raspberry Pi (GOOD)</a>&nbsp; By&nbsp;<a href="https://www.wevolver.com/profile/sunkanmi.oluwaleye" target="_blank" style="border: 5px solid green;">Sunkanmi Oluwaleye (GOOD)</a>Processing food/crop often requires removing moisture content without affecting their nutritional values. To carry out the process effectively, a special dehydrator/oven is required that can evenly distribute the generated heat and remove all moisture.This student article by Sunkanmi proposes a low-cost raspberry pi and programmable logic controller (PLC) based dehydrator that gives the users the flexibility to control both the drying chamber’s temperature and humidity from its web interface via a mobile device or the dehydrator’s human machine interface (HMI).Read the complete write-up <a href="https://www.wevolver.com/article/conceptual-design-of-smart-multi-farm-produce-dehydrator-using-a-low-cost-plc-and-raspberry-pi" target="_blank" style="border: 5px solid green;">here (GOOD)</a>.<hr>#2. New Image Recognition Technique for Intuitive Understanding in Class of the Dynamic Response of High-Rise Buildings (BAD) By&nbsp;<a href="https://www.wevolver.com/profile/rocio.porras.soriano" target="_blank" style="border: 5px solid green;">Rocio Porras Soriano (GOOD)</a>Structural engineering is a subject of civil engineering that requires students to develop an intuition of the structural response of different construction designs. In this article, Rocio explains how complementing traditional master classes with additional activities can improve students’ learning experiences.An image-recognition algorithm is proposed to identify the dynamic response (deflections, velocity, and accelerations) of small-scale buildings on an educational shaking table. Students are challenged to improve the seismic behavior of a reference small-scale building. Then, the proposed algorithm is used to compare the different typologies proposed. A survey conducted at the end of the course indicates an improvement in the student's confidence and motivation.<hr>#3. <a href="https://www.wevolver.com/article/a-machine-learning-approach-for-an-improved-inertial-navigation-system-solution" target="_blank" style="border: 5px solid green;">A Machine Learning Approach for an Improved Inertial Navigation System Solution (GOOD)</a> By&nbsp;<a href="https://www.wevolver.com/profile/ashraf.abosekeen" target="_blank" style="border: 5px solid green;">Ashraf Abosekeen (GOOD)</a>An inertial Navigation System (INS) is a component of mechanical devices that uses the data collected from sensors like accelerometers and gyroscopes to plan movements. The system depends on the accuracy of the Inertial Measurement Unit (IMU), which provides INS with the required data. IMUs used in low-cost micro-electro-mechanical systems (MEMSs) suffer from huge error sources such as bias, the scale factor, scale factor instability, and highly non-linear noise.This article by Ashraf proposes a machine-learning-based adaptive neuro-fuzzy inference system (ML-based-ANFIS) that improves the traditional INS by up to 70% in 2D positioning and 92% in 2D velocity.Visit <a href="https://www.wevolver.com/article/a-machine-learning-approach-for-an-improved-inertial-navigation-system-solution" target="_blank" style="border: 5px solid green;">this link (GOOD)</a> for all details.<hr>#4. <a href="https://www.wevolver.com/article/combining-sla-3d-printing-and-soft-lithography-for-fast-versatile-and-accessible-high-resolution-fabrication-of-customised-multiscale-cell-culture-devices-with-complex-designs" target="_blank" style="border: 5px solid green;">Combining SLA 3D printing and soft lithography for fast, versatile, and accessible high-resolution fabrication of customised multiscale cell culture devices with complex designs (GOOD)</a> By&nbsp;<a href="https://www.wevolver.com/profile/cathleen.hagemann" target="_blank" style="border: 5px solid green;">Cathleen Hagemann (GOOD)</a>Taking advantage of low-cost, high-resolution desktop resin 3D printers combined with Polydimethylsiloxane (PDMS) soft-lithography, this article explains the optimized microfabrication pipeline capable of generating a wide variety of customizable devices for cell culture and tissue engineering in an easy, fast reproducible way for a fraction of the cost of conventional microfabrication or commercial alternatives.&nbsp;This technique enables the manufacture of complex devices across scales bridging the gap between microfabrication and fused deposition molding (FDM) printing.<a href="https://www.wevolver.com/article/combining-sla-3d-printing-and-soft-lithography-for-fast-versatile-and-accessible-high-resolution-fabrication-of-customised-multiscale-cell-culture-devices-with-complex-designs" target="_blank" style="border: 5px solid green;">Here (GOOD)</a> is the link to the student article.<hr>#5. Spatio-Temporal Analysis of Archived Web News for Precise Political Event Detection and Impact Analysis in India's Southern States (BAD) By&nbsp;<a href="https://www.wevolver.com/profile/pratik.dhabal.deo" target="_blank" style="border: 5px solid green;">Pratik Dhabal Deo (GOOD)</a>A nation’s political system directly impacts its economy. Every political party has its own economic policies, which have a major impact on the economic stability of the nation.This student article by Pratik explains Precise Political Event Detection using Spatio-Temporal Analysis (PPED-STA) schemes proposed by political event mapping through the extraction of data from the archives of web news. The aim is to use machine learning algorithms to predict precisely the possibilities of political events.<hr>#6. <a href="https://www.wevolver.com/article/artificial-intelligence-assisted-architected-materials-in-additive-manufacturing" target="_blank" style="border: 5px solid green;">Artificial Intelligence Assisted Architected Materials in Additive Manufacturing (GOOD)</a> By&nbsp;<a href="https://www.wevolver.com/profile/mohammad.mirzaali" target="_blank" style="border: 5px solid green;">Mohammad Mirzaali (GOOD)</a>The current advancement in multi-material additive manufacturing technologies has provided unique opportunities to create 3D printed structures with not only complex geometries at several length scales but arbitrary deposition of multiple materials (i.e., soft or hard) in 3D space.In this article, Mohammad Mirzaali shares the design approaches and (bio)fabrication techniques for creating (bio)materials with tailor-made properties. Two frontier technologies, namely multi-material 3D printing and AI, are used to create various types of “digital materials” with rare properties.Access the full article <a href="https://www.wevolver.com/article/artificial-intelligence-assisted-architected-materials-in-additive-manufacturing" target="_blank" style="border: 5px solid green;">here (GOOD)</a>.<hr>#7. <a href="https://www.wevolver.com/article/dot-hazmat-an-android-application-for-detection-of-hazardous-materials-hazmat" target="_blank" style="border: 5px solid green;">DOT-HAZMAT: An Android application for detection of hazardous materials (HAZMAT) (GOOD)</a> By&nbsp;<a href="https://www.wevolver.com/profile/mihir.pamnani" target="_blank" style="border: 5px solid green;">Mihir Pamnani (GOOD)</a>HAZMAT signs play a crucial role in rescue operations and hence an accurate detection tool is required in cases of accidents caused by hazardous materials. There are several approaches and methods for HAZMAT sign detection but the ones that use deep learning are the most successful ones.In this submission, Mihir explains DOT-HAZMAT, an Android application based on Machine Learning and Computer Vision that locates and categorizes HAZMAT placards in perilous rescue operations. The article explains the enormous potential of neural networks and open-source libraries with computer vision for solving problems of extreme importance.Check out all the details by visiting <a href="https://www.wevolver.com/article/dot-hazmat-an-android-application-for-detection-of-hazardous-materials-hazmat" target="_blank" style="border: 5px solid green;">this link (GOOD)</a>.<hr>#8. <a href="https://www.wevolver.com/article/optimization-of-mechanical-design-bladeless-wind-turbine-for-electricity-fulfillment-in-nusa-tenggara-timur-indonesia" target="_blank" style="border: 5px solid green;">Optimization of Mechanical Design Bladeless Wind Turbine for Electricity Fulfillment in Nusa Tenggara Timur, Indonesia (GOOD)</a> By&nbsp;<a href="https://www.wevolver.com/profile/muhammad.farhan.ramadhany" target="_blank" style="border: 5px solid green;">Muhammad Farhan Ramadhany (GOOD)</a>In this article, Muhammad Farhan Ramadhany explains the concept of Bladeless Wind Turbine wind power plants that can work optimally in areas with low wind speeds (3 to 8 m/s). The article explores how the design can be optimized to work in places with even lower wind availability.Using the optimized designs, electricity demands in areas with low wind speeds can be met. The author has considered the case of Nusa Tenggara Timur, Indonesia, as an example of a region with low wind speed.Here is the <a href="https://www.wevolver.com/article/optimization-of-mechanical-design-bladeless-wind-turbine-for-electricity-fulfillment-in-nusa-tenggara-timur-indonesia" target="_blank" style="border: 5px solid green;">link (GOOD)</a> to the complete article.<hr>#9. <a href="https://www.wevolver.com/article/high-performance-amorphous-carbon-coated-lithium-nickel-manganese-cobalt-oxide-nmc622-cathode-material-with-improved-capacity-retention-for-lithium-ion-batteries" target="_blank" style="border: 5px solid green;">High-Performance Amorphous Carbon Coated Lithium-Nickel-Manganese-Cobalt-Oxide (NMC622) Cathode Material with Improved Capacity Retention for Lithium-Ion Batteries (GOOD)</a> By&nbsp;<a href="https://www.wevolver.com/profile/anish.raj.kathribail" target="_blank" style="border: 5px solid green;">Anish Raj Kathribail (GOOD)</a>Ni-rich NMC has attracted great attention in the battery community due to a combination of high reversible capacity and high operating voltage that stems from two-dimensional lithium-ion diffusion and good lithium-ion conductivity. Coating conducting polymers onto active cathode materials has been proven to mitigate issues at high current densities stemming from the limited conducting abilities of the metal-oxides.However, in spite of these advantages, the material is known to possess problems such as surface side reactions and chemical instability at the highly de-lithiated stages. This student article shows the synergetic effects of a furfuryl polymer coating and subsequent calcination leading to improved electrochemical performance of nickel-rich NMC622.Check out the article <a href="https://www.wevolver.com/article/high-performance-amorphous-carbon-coated-lithium-nickel-manganese-cobalt-oxide-nmc622-cathode-material-with-improved-capacity-retention-for-lithium-ion-batteries" target="_blank" style="border: 5px solid green;">here (GOOD)</a>.<hr>#10. <a href="https://www.wevolver.com/article/fexgan-meta-facial-expression-generation-with-meta-humans" target="_blank" style="border: 5px solid green;">FEXGAN-META: Facial Expression Generation With Meta Humans (GOOD)</a> By&nbsp;J Rafid Siddiqui (BAD)The subtleness of human facial expressions and a large degree of variation in the level of intensity to which a human expresses them is what makes it challenging to robustly classify and generate images of facial expressions. The lack of good quality data can hinder the performance of deep learning models utilizing this data.This student article by J Rafid Siddiqui proposes a Facial Expression Generation method for Meta-Humans (FExGAN-Meta) that deals with the challenge of robustly classifying and generating images of facial expressions while maintaining subtleness and intensity.Read the article by visiting <a href="https://www.wevolver.com/article/fexgan-meta-facial-expression-generation-with-meta-humans" target="_blank" style="border: 5px solid green;">this link (GOOD)</a>.<hr>#11. <a href="https://www.wevolver.com/article/dynamic-simulation-and-optimization-of-anaerobic-digestion-processes-using-matlab" target="_blank" style="border: 5px solid green;">Dynamic simulation and optimization of anaerobic digestion processes using MATLAB (GOOD)</a> by&nbsp;<a href="https://www.wevolver.com/profile/prabakaran.ganeshan" target="_blank" style="border: 5px solid green;">Prabakaran Ganeshan (GOOD)</a>This student article explains a dynamic model that can predict biomethane production with time series developed based on a modified hill’s model using MATLAB.This model predicts the biomethane production for both batch and continuous processes across substrates and under diverse conditions such as total solids, loading rate, and days of operation. The deviation between the literature and the developed model is less than ± 7.6%, which shows the accuracy and robustness of this model.Visit <a href="https://www.wevolver.com/article/dynamic-simulation-and-optimization-of-anaerobic-digestion-processes-using-matlab" target="_blank" style="border: 5px solid green;">this link (GOOD)</a> to read the submission.<hr>#12. <a href="https://www.wevolver.com/article/quasioptics-for-increasing-the-beam-efficiency-of-wireless-power-transfer-systems" target="_blank" style="border: 5px solid green;">Quasioptics for Increasing the Beam Efficiency of Wireless Power Transfer Systems (GOOD)</a> By Pereira RicardoThe highest beam efficiency in a wireless power transfer (WPT) system that uses focusing components was 51%. Achieved by William Brown in 1964, it used a ~ 3 m diameter reflector for a transfer distance of 7.62 m. This record was unbeaten for 58 years until now, as this student article presents a system that surpasses Brown’s work by 25%.&nbsp;Read the article summarizing the research work <a href="https://www.wevolver.com/article/quasioptics-for-increasing-the-beam-efficiency-of-wireless-power-transfer-systems" target="_blank" style="border: 5px solid green;">here (GOOD)</a>.<hr>Submissions received throughout the program are under review by the jury. Stay tuned to know who makes it to the list of winners.Till then, check out the featured UTEP articles by visiting these links:<ul><li dir="ltr">UTEP Interview: Building the Worlds Fastest Hyperloop Tunneling Robot with Swissloop Tunneling (BAD)</li></ul>Here are the articles summarizing the previous UTEP submissions:<ul><li dir="ltr"><a href="https://www.wevolver.com/article/university-technology-exposure-program-2022-june-update" target="_blank" style="border: 5px solid green;">University Technology Exposure Program 2022: June Update (GOOD)</a></li><li dir="ltr"><a href="https://www.wevolver.com/article/university-technology-exposure-program-2022-may-update" target="_blank" style="border: 5px solid green;">University Technology Exposure Program 2022: May Update (GOOD)</a></li><li dir="ltr"><a href="https://www.wevolver.com/article/university-technology-exposure-program-2022-april-update" target="_blank" style="border: 5px solid green;">University Technology Exposure Program 2022: April Update (GOOD)</a></li><li dir="ltr"><a href="https://www.wevolver.com/article/university-technology-exposure-program-2022-march-update" target="_blank" style="border: 5px solid green;">University Technology Exposure Program 2022: March Update (GOOD)</a></li><li dir="ltr"><a href="https://www.wevolver.com/article/university-technology-exposure-program-2022-february-update" target="_blank" style="border: 5px solid green;">University Technology Exposure Program 2022: February Update (GOOD)</a></li></ul><h2 dir="ltr">About the University Technology Exposure Program 2022</h2>Wevolver, in partnership with <a href="https://mouser.com/" target="_blank" style="border: 5px solid orange;">Mouser Electronics (EXTERNAL)</a> and <a href="https://www.ansys.com/academic" target="_blank" style="border: 5px solid orange;">Ansys (EXTERNAL)</a>, is excited to announce the launch of the University Technology Exposure Program 2022. The program aims to recognize and reward innovation from engineering students and researchers across the globe. Learn more about the program <a href="http://www.wevolver.com/student-program" target="_blank" style="border: 5px solid orange;">here (EXTERNAL)</a>.<img alt="university-technology-exposure-program-mouser-ansys" src="https://images.wevolver.com/eyJidWNrZXQiOiJ3ZXZvbHZlci1wcm9qZWN0LWltYWdlcyIsImtleSI6ImZyb2FsYS8xNjYwMTI3NzY2ODc0LTE2NjAxMjc3NjY4NzQucG5nIiwiZWRpdHMiOnsicmVzaXplIjp7IndpZHRoIjo5NTAsImZpdCI6ImNvdmVyIn19fQ==" class="fr-fic fr-dii">

UTEP 2022 ends with 12 submissions in the final month. The recent articles covered different areas of technology like smart farming, AI, 3D printing, wind energy, structural engineering, biotechnology, and more. As we eagerly wait for the results, here is an article summarizing the new submissions.

University Technology Exposure Program 2022: July-August Final Update

A student article explaining how quasioptical framework is advantageous for developing radiative wireless power transfer systems with high efficiency.

Quasioptics for Increasing the Beam Efficiency of Wireless Power Transfer Systems

Flightmare is an open-source simulator for quadrotors that moves away from rigid paradigms and proposes a flexible modular structure that empowers the users or automated algorithms to fine-tune the simulator to the task at hand.

Flightmare: A Flexible Quadrotor Simulator

The student article explains an artificial intelligence-based system to detect human body patterns and movements for multiple targets in real-time to recognize their behaviors and classify them as either normal or abnormal.

Human Behavior Identification and Recognition System

This student article explains a dynamic model developed based on modified Hill’s model using MATLAB, which can predict biomethane production with time series.

Dynamic simulation and optimization of anaerobic digestion processes using MATLAB

This student article shows the synergetic effects of a furfuryl polymer coating and subsequent calcination leading to improved electrochemical performance of nickel-rich NMC622.

High-Performance Amorphous Carbon Coated Lithium-Nickel-Manganese-Cobalt-Oxide (NMC622) Cathode Material with Improved Capacity Retention for Lithium-Ion Batteries

This student article explains the concept of Bladeless Wind Turbine wind power plants that can work optimally in areas with low wind speeds (3 to 8 m/s). We explore how the design can be optimized further to work at places with even lower wind availability.

Optimization of Mechanical Design Bladeless Wind Turbine for Electricity Fulfillment in Nusa Tenggara Timur, Indonesia

This student article proposes rapid protocols for clinical diagnosis of COVID-19 through the automatic analysis of hematological parameters using Evolutionary Computing and Machine Learning. These hematological parameters are obtained from blood tests common in clinical practice.

Rapid protocols to support Covid-19 clinical diagnosis based on hematological parameters

Representational image of soldiers participating in toxic industrial chemical protection and detection equipment training. Source: USArmy-Flickr

A student article showcasing an Android application called DOT-HAZMAT based on Machine Learning and Computer Vision that locates and categorizes HAZMAT placards in perilous rescue operations.


DOT-HAZMAT: An Android application for  detection of hazardous materials (HAZMAT)

This article is a part of our <a href="http://www.wevolver.com/student-program" target="_blank">University Technology Exposure Program</a>. The program aims to recognize and reward innovation from engineering students and researchers across the globe.The current advancement in multi-material additive manufacturing technologies has provided unique opportunities to create 3D printed structures with not only complex geometries at several length scales but arbitrary deposition of multiple materials (i.e., soft or hard) in 3D space.&nbsp;The interplay between geometry and material can offer designers unbounded freedom to push the limits of traditional materials and introduce a new class of engineered material with unprecedented properties and functionalities.&nbsp;Finding an optimal combination of geometry and material deposition to achieve target properties is, however, not straightforward and requires efficient methods that evaluate all possible designs within the domains of interest in a reasonable time.&nbsp;Artificial neural networks are powerful tools that may help designers bypass such &ldquo;try-and-error&rdquo; approaches and speed up the process of extracting corresponding (micro-)architectures and material distributions for any desired target properties.Our aim&nbsp;is to propose new design approaches and (bio)fabrication techniques for creating (bio)materials with tailor-made properties. We use two frontier technologies namely multi-material 3D printing and AI to create various types of &ldquo;digital materials&rdquo; with rare properties (see the news covering our work in [1]).<h2 dir="ltr">How does the design platform work?</h2>One of our design bases is rooted in the concept of the mechanical metamaterials.&nbsp;These engineered materials own their mechanical properties from their microstructures rather than their chemical compositions. For instance, most of the existing metamaterials are composed of periodic unit cells, which results in spatially uniform properties and symmetric deformations under loading. The overall performance of such materials is, however, very sensitive to defects. Therefore, we introduced randomness in the design of mechanical metamaterials to create aperiodic microstructures resulting in a haphazard distribution of material properties (i.e., elastic stiffness and Poisson&rsquo;s ratio) within the structure [2].Our disordered microarchitectures and their multi-material variational distribution across space within a lattice can provide remarkable and unique anisotropic elastic properties and even extremely rare event material properties (e.g., a combination of double-auxeticity and high elastic moduli) [3]. However, evaluating the entire mechanical design space is necessary to find these rare event designs, which can be more challenging than finding a needle in a haystack. In this &ldquo;curse of dimensionality&rdquo;, the number of designs that need to be evaluated is so large that high-speed models and highly parallelizable algorithms are required. Computational models, such as finite element models, are also not fast enough for this purpose. To boldly tackle this challenge, we utilized artificial intelligence (AI) techniques to accelerate the evaluation process of the mechanical properties of such structures (Figure 1). After training a series of deep neural networks, we rapidly predicted the mechanical properties of random mechanical metamaterials (Figure 1). Thanks to the resulting ultra-fast deep learning model, we found mechanical metamaterials that feature remarkably unusual mechanical properties [2].<img alt="Diagram 
Description automatically generated" src="https://images.wevolver.com/eyJidWNrZXQiOiJ3ZXZvbHZlci1wcm9qZWN0LWltYWdlcyIsImtleSI6ImZyb2FsYS8xNjU4NTU3ODgxNjY5LTE2NTg1NTc4ODE2NjkucG5nIiwiZWRpdHMiOnsicmVzaXplIjp7IndpZHRoIjo5NTAsImZpdCI6ImNvdmVyIn19fQ==" class="fr-fic fr-dii" style="width: 758px;">Figure 1. The use of deep learning models for training and predicting the mechanical properties of multi-material mechanical metamaterials with rare elastic properties [2].On top of that, we took the advantage of the &lsquo;digital materials&rsquo; concept, in which micro-scale discretization of materials can be generalized to macro-scale materials with an incredibly large array of properties. Combining such an infinite array of possibilities with AI techniques has allowed us to generate the most optimal materials with tailor-made properties.In our designs, we benefit from the design motifs that exist in nature (e.g., multi-scale hierarchy and functional gradient [4]). The combination of the hard-soft material components at multiple length scales, and AI neural networks has enabled us to reduce the dimensionality of the problem by using coarse-graining approaches [5] (Figure 2). Such implementation decreased the computing time of our computational models by several order of magnitudes without affecting the accuracy of the predicted mechanical properties of our materials [5].<img alt="A picture containing text Description automatically generated" src="https://images.wevolver.com/eyJidWNrZXQiOiJ3ZXZvbHZlci1wcm9qZWN0LWltYWdlcyIsImtleSI6ImZyb2FsYS8xNjU4NTU3ODc5MzExLTE2NTg1NTc4NzkzMTEucG5nIiwiZWRpdHMiOnsicmVzaXplIjp7IndpZHRoIjo5NTAsImZpdCI6ImNvdmVyIn19fQ==" class="fr-fic fr-dii">Figure 2. Our coarse-graining approach [5] can predict the effective mechanical properties of any structure composed of soft and hard elements. This example exhibits how tensile (left) and fracture (right) properties of a structure can remain unchanged after implementing the coarse-graining approach. The specimen is obtained from a binarization of a part of a famous painting, Girl with a pearl earring (Johannes Vermeer, Delft, c 1665).<h2 dir="ltr">Applications</h2>We envision several biomedical applications including design and fabrication of orthopaedic (metallic) implants and their connections to the soft tissues (i.e., tendon or muscle), developing in vitro models to investigate cell mechanics and their interactions with 3D printed implants, and smart exoskeletal and wearable medical devices with adaptive shape morphing capabilities. We hope our proposed design strategies can impact the public health sector and improve the life quality of individuals and their societal well-being.<img alt="A group of people posing for a photo Description automatically generated with low confidence" src="https://images.wevolver.com/eyJidWNrZXQiOiJ3ZXZvbHZlci1wcm9qZWN0LWltYWdlcyIsImtleSI6ImZyb2FsYS8xNjU4NTU3ODc5MTI5LTE2NTg1NTc4NzkxMjkucG5nIiwiZWRpdHMiOnsicmVzaXplIjp7IndpZHRoIjo5NTAsImZpdCI6ImNvdmVyIn19fQ==" class="fr-fic fr-dii">Figure 3. Members of Biomaterials and Tissue Biomechanics sectionWe are researchers (PhD candidates: Helda Pahlavani, Mauricio C. Saldivar, PI: Dr. Mohammad J. Mirzaali) at Bio-Tie (BIOmimetic Tissue InterfacEs) lab. We are members of the &ldquo;Biomaterials and Tissue Biomechanics&rdquo; section led by Prof. Amir Zadpoor, at the Department of Biomechanical Engineering, Delft University of Technology. Our multidisciplinary research meets at the crossroads of mechanical engineering, material science, biomedical engineering, and biomechanics.<h2 dir="ltr">References</h2>[1]<a href="https://3dprintingindustry.com/news/ai-in-3d-printing-accelerating-new-material-discovery-and-qualification-207924/" target="_blank">https://3dprintingindustry.com/news/ai-in-3d-printing-accelerating-new-material-discovery-and-qualification-207924/</a>[2] Pahlavani, Helda, Mohammad Amani, M. Cruz Sald&iacute;var, Jie Zhou, Mohammad J. Mirzaali, and Amir A. Zadpoor. 2022. Deep learning for the rare-event rational design of 3D printed multi-material mechanical metamaterials. Communication materials, in press.[3] Mirzaali, M.J., Pahlavani, H. and Zadpoor, A.A., 2019. Auxeticity and stiffness of random networks: Lessons for the rational design of 3D printed mechanical metamaterials. Applied Physics Letters, 115(2), p.021901.[4] Mirzaali, M.J., Cruz Sald&iacute;var, M., Herranz de la Nava, A., Gunashekar, D., Nouri-Goushki, M., Doubrovski, E.L. and Zadpoor, A.A., 2020. Multi-material 3D printing of functionally graded hierarchical soft&ndash;hard composites. Advanced Engineering Materials, 22(7), p.1901142.[5] Saldivar, M.C., Doubrovski, E.L., Mirzaali, M.J. and Zadpoor, A.A., 2022. Nonlinear Coarse-graining Models for 3D Printed Multi-material Biomimetic Composites.&nbsp;arXiv preprint arXiv:2204.05152.<h2 dir="ltr">About the University Technology Exposure Program 2022</h2>Wevolver, in partnership with <a href="https://mouser.com/" target="_blank">Mouser Electronics</a> and <a href="https://www.ansys.com/academic" target="_blank">Ansys</a>, is excited to announce the launch of the University Technology Exposure Program 2022. The program aims to recognize and reward innovation from engineering students and researchers across the globe. Learn more about the program <a href="http://www.wevolver.com/student-program" target="_blank">here</a>.<img alt="mouser-ansys" src="https://images.wevolver.com/eyJidWNrZXQiOiJ3ZXZvbHZlci1wcm9qZWN0LWltYWdlcyIsImtleSI6ImZyb2FsYS8xNjU4NTU3ODc4MTQ2LTE2NTg1NTc4NzgxNDYucG5nIiwiZWRpdHMiOnsicmVzaXplIjp7IndpZHRoIjo5NTAsImZpdCI6ImNvdmVyIn19fQ==" class="fr-fic fr-dii">

The current advancement in multi-material additive manufacturing technologies has provided unique opportunities to create 3D printed structures with not only complex geometries at several length scales, but arbitrary deposition of multiple materials (i.e., soft or hard) in 3D space. 

Artificial Intelligence Assisted Architected Materials in Additive Manufacturing

Taking advantage of low-cost, high-resolution desktop resin 3D printers combined with PDMS soft-lithography we have developed an optimised microfabrication pipeline capable of generating a wide variety of customisable devices for cell culture and tissue engineering in an easy, fast reproducible way

Combining SLA 3D printing and soft lithography for fast, versatile, and accessible high-resolution fabrication of customised multiscale cell culture devices with complex designs

The inertial navigation system is a basic component of obtaining a continuous navigation solution in various applications. The system suffers from a growing error over time. This article proposes a machine-learning-based adaptive neuro-fuzzy inference system to improve navigation performance.

A Machine Learning Approach for an Improved Inertial Navigation System Solution

Food processing techniques require the removal of moisture from the crop without destroying its nutritional qualities. The article proposes a dehydrator/oven whose temperature and humidity can be perfectly controlled and its generated heat is evenly distributed in its drying chamber.

Conceptual design of smart multi-farm produce dehydrator using a low-cost PLC and Raspberry Pi

This article is a part of our <a href="http://www.wevolver.com/student-program" target="_blank" style="border: 5px solid orange;">University Technology Exposure Program (EXTERNAL)</a>. The program aims to recognize and reward innovation from engineering students and researchers across the globe.In this article, we present a summary of the 7 submissions we published in June 2022 as a part of the event.&nbsp;#1. Functionalized hydrogel-coated microdevices may be potential candidates for targeted drug delivery (BAD) By&nbsp;<a href="https://www.wevolver.com/profile/filippo.rossi" target="_blank" style="border: 5px solid green;">Filippo Rossi (GOOD)</a>Medicines rely on the use of pharmacologically active agents to treat the disease. Their effectiveness depends on the ways in which they are administered or delivered. In traditional drug delivery methodology, most of the drug is unused, meaning that a higher dosage must be provided to achieve active concentration in the target organ.This article by Filippo investigates hydrogel-coated microdevices as potential candidates to perform targeted drug delivery. By doing this, highly optimized drug administration can be obtained.<hr>#2. <a href="https://www.wevolver.com/article/electric-vehicle-charging-station-from-public-electricity-and-solar-panels" target="_blank" style="border: 5px solid green;">Electric Vehicle Charging Station from Public Electricity and Solar Panels (GOOD)</a> By&nbsp;<a href="https://www.wevolver.com/profile/aashish.joshi" target="_blank" style="border: 5px solid green;">Aashish Joshi (GOOD)</a>Electric Vehicle (EV) charging stations, unlike gas stations, aren't available everywhere. There always exists a fear in the minds of EV users as to what might happen if their vehicle runs out of battery. To deal with this challenge, Aashish has developed a scaled-down version of an EV charging station that switches between solar energy and the electric grid to make charging hassle-free for users.The article provides an overview of the material required, methods followed and calculations involved in developing the fully-functional prototype.Access the article from this <a href="https://www.wevolver.com/article/electric-vehicle-charging-station-from-public-electricity-and-solar-panels" target="_blank" style="border: 5px solid green;">link (GOOD)</a>.<hr>#3. <a href="https://www.wevolver.com/article/concurrent-mode-cmos-detector-ic-for-sub-terahertz-imaging-system" target="_blank" style="border: 5px solid green;">Concurrent-Mode CMOS Detector IC for Sub-Terahertz Imaging System (GOOD)</a> By&nbsp;<a href="https://www.wevolver.com/profile/jong.ryul.yang" target="_blank" style="border: 5px solid green;">Jong Ryul Yang (GOOD)</a>In recent times, the THz wave has been of interest as a frequency resource to replace the millimeter wave, as it can be used in communication beyond the limit of short-wavelength waves.The article proposes a CMOS detector with a concurrent mode for high-quality images in the sub-terahertz region. The THz imaging system is capable of nondestructive inspection owing to the low ionization energy with regard to frequency.&nbsp;Here is the <a href="https://www.wevolver.com/article/concurrent-mode-cmos-detector-ic-for-sub-terahertz-imaging-system" target="_blank" style="border: 5px solid green;">link (GOOD)</a> to the article.<hr>#4. Influence of COVID-19 Epidemic on Dark Web Content (BAD) By&nbsp;<a href="https://www.wevolver.com/profile/abdul.razaque" target="_blank" style="border: 5px solid green;">Abdul Razaque (GOOD)</a>The dark web is that part of the internet that can be accessed by the means of special tools. It poses a challenge in front of law-enforcement agencies due to its anonymity. The network is not stable and is likely to change quickly. Due to the recent events taking place in the world, such as the COVID-19 pandemic, the content may have been influenced by certain variations.&nbsp;This study is focused on identifying and describing the state of dark web content allowing us to understand the kinds of services the network hosts, their level of criminality, and the level of impact from global events.<hr>#5. <a href="https://www.wevolver.com/article/improving-emergency-response-in-the-era-of-adas-vehicles-in-the-smart-city" target="_blank" style="border: 5px solid green;">Improving emergency response in the era of ADAS vehicles in the Smart City (GOOD)</a> By&nbsp;<a href="https://www.wevolver.com/profile/filippo.muzzini" target="_blank" style="border: 5px solid green;">Filippo Muzzini (GOOD)</a>Emergency vehicle response time is a paramount aspect of urban quality of life; it is defined as the interval between the time at which an emergency vehicle is dispatched and its arrival time at the location of the accident.&nbsp;Minimizing such an interval can drastically increase the chance of survival for the individuals involved. In such a context, the contribution of this article is to propose re-routing algorithms aimed at improving the travel times for emergency services while responding to traffic accidents. It also assesses the impact of such strategies on the travel times experienced by the other (non-emergency) road users.Read the student write-up by visiting <a href="https://www.wevolver.com/article/improving-emergency-response-in-the-era-of-adas-vehicles-in-the-smart-city" target="_blank" style="border: 5px solid green;">this link (GOOD)</a>.<hr>#6. <a href="https://www.wevolver.com/article/investigating-the-carbon-implications-of-am-enabled-distributed-production-of-spare-parts-in-the-automotive-industry" target="_blank" style="border: 5px solid green;">Investigating the carbon implications of AM-enabled distributed production of spare parts in the automotive industry (GOOD)</a> By&nbsp;<a href="https://www.wevolver.com/profile/kaitlyn.gee" target="_blank" style="border: 5px solid green;">Kaitlyn Gee (GOOD)</a>This article tries to compare the environmental impact and complexity of manufacturing automobile parts through conventional methods and modern distributed manufacturing techniques like 3D printing. It evaluates the benefits of distributed manufacturing, specifically additive manufacturing, on carbon footprint and logistical complexity.For this case study, Kaitlyn takes the example of a metal brake caliper for the Bugatti Chiron to explain why the additive manufacturing-enabled approach might be more attractive for spare parts that are needed infrequently, or that could be produced in ways that are less carbon-intensive.Visit <a href="https://www.wevolver.com/article/investigating-the-carbon-implications-of-am-enabled-distributed-production-of-spare-parts-in-the-automotive-industry" target="_blank" style="border: 5px solid green;">this link (GOOD)</a> to read the complete write-up.<hr>#7. <a href="https://www.wevolver.com/article/adopting-lean-manufacturing-principles-and-learning-factory-concepts-for-productivity-optimization/" target="_blank" style="border: 5px solid orange;">Adopting Lean Manufacturing Principles and Learning Factory Concepts for Productivity Optimization (REDIRECT)</a> By&nbsp;<a href="https://www.wevolver.com/profile/lay.min.hoe" rel="noopener noreferrer" target="_blank" style="border: 5px solid green;">Hoe Lay Min (GOOD)</a>This article presents a systematic case study on how lean manufacturing principles can be applied for improving productivity. A detailed computational model of manufacturing is designed using simulation software to identify the shortfalls of current production techniques and establish areas for improvement.&nbsp;Targeted improvements such as reconfiguration of factory layout; streamlining of production flow; reset on supply material capacity are carried out and the results gained from these efforts are evaluated quantitatively by comparing statistics before and after the enhancement activities.&nbsp;Here is the <a href="https://www.wevolver.com/article/adopting-lean-manufacturing-principles-and-learning-factory-concepts-for-productivity-optimization/" target="_blank" style="border: 5px solid orange;">link (REDIRECT)</a> to the article.<hr><h2 dir="ltr">About the University Technology Exposure Program 2022</h2>Wevolver, in partnership with <a href="https://mouser.com/" target="_blank" style="border: 5px solid orange;">Mouser Electronics (EXTERNAL)</a> and <a href="https://www.ansys.com/academic" target="_blank" style="border: 5px solid orange;">Ansys (EXTERNAL)</a>, is excited to announce the launch of the University Technology Exposure Program 2022. The program aims to recognize and reward innovation from engineering students and researchers across the globe. Learn more about the program <a href="http://www.wevolver.com/student-program" target="_blank" style="border: 5px solid orange;">here (EXTERNAL)</a>.<img alt="university-technology-exposure-program-mouser-ansys" src="https://images.wevolver.com/eyJidWNrZXQiOiJ3ZXZvbHZlci1wcm9qZWN0LWltYWdlcyIsImtleSI6ImZyb2FsYS8xNjU3MjA2NzA1MTg1LTE2NTcyMDY3MDUxODUucG5nIiwiZWRpdHMiOnsicmVzaXplIjp7IndpZHRoIjo5NTAsImZpdCI6ImNvdmVyIn19fQ==" class="fr-fic fr-dii">

As the University Technology Exposure Program 2022 enters its final month, we continue to receive submissions spanning different domains of technology. Submissions published in June included articles related to healthcare, electric vehicles, data analytics, smart cities, and smart manufacturing.

University Technology Exposure Program 2022: June Update

ITMO University-Fri Jun 30 2023 23:59:59 GMT+0200 (Central European Summer Time)

ITMO University-Mon Jul 31 2023 23:59:59 GMT+0300 (Eastern European Summer Time)

ITMO University-Thu Aug 31 2023 23:59:59 GMT+0300 (Eastern European Summer Time)

ITMO University-Thu Aug 31 2023 23:59:59 GMT+0200 (Central European Summer Time)

ITMO University-Sat Sep 30 2023 23:59:59 GMT+0300 (Eastern European Summer Time)

University of Michigan-Fri Jun 30 2023 23:59:59 GMT+0200 (Central European Summer Time)

University of Michigan-Mon Jul 31 2023 23:59:59 GMT+0300 (Eastern European Summer Time)

University of Michigan-Thu Aug 31 2023 23:59:59 GMT+0300 (Eastern European Summer Time)

University of Michigan-Thu Aug 31 2023 23:59:59 GMT+0200 (Central European Summer Time)

University of Michigan-Sat Sep 30 2023 23:59:59 GMT+0300 (Eastern European Summer Time)

Carnegie Mellon University-Fri Jun 30 2023 23:59:59 GMT+0200 (Central European Summer Time)

Carnegie Mellon University-Mon Jul 31 2023 23:59:59 GMT+0300 (Eastern European Summer Time)

Carnegie Mellon University-Thu Aug 31 2023 23:59:59 GMT+0300 (Eastern European Summer Time)

Carnegie Mellon University-Thu Aug 31 2023 23:59:59 GMT+0200 (Central European Summer Time)

Carnegie Mellon University-Sat Sep 30 2023 23:59:59 GMT+0300 (Eastern European Summer Time)

Technical University of Denmark-Fri Jun 30 2023 23:59:59 GMT+0200 (Central European Summer Time)

Technical University of Denmark-Mon Jul 31 2023 23:59:59 GMT+0300 (Eastern European Summer Time)

Technical University of Denmark-Thu Aug 31 2023 23:59:59 GMT+0300 (Eastern European Summer Time)

Technical University of Denmark-Thu Aug 31 2023 23:59:59 GMT+0200 (Central European Summer Time)

Technical University of Denmark-Sat Sep 30 2023 23:59:59 GMT+0300 (Eastern European Summer Time)

Stanford University-Fri Jun 30 2023 23:59:59 GMT+0200 (Central European Summer Time)

Stanford University-Mon Jul 31 2023 23:59:59 GMT+0300 (Eastern European Summer Time)

Stanford University-Thu Aug 31 2023 23:59:59 GMT+0300 (Eastern European Summer Time)

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