ICDS News

D.Eng. program seeking researchers interested in advising students

The Doctor of Engineering (D.Eng.) in Engineering program is seeking researchers interested in advising advanced, highly motivated, post-master’s students who are supported by their organizations. 

The online, Penn State World Campus 45-credit program will provide researchers the opportunity to advise, mentor and publish with students who are advanced in their careers; research multidisciplinary real-world industry problems; expand research efforts and use expertise across different disciplines; enhance collaboration; and connect with faculty and advisers from other Penn State campuses and colleges as well as engaging with government, corporate and industry partners. 

“The D.Eng. program has a rigorous research component that results in a praxis rather than a dissertation,” Sven Bilén, professor, School of Engineering Design and Innovation and director of the D.Eng. Program. “Dissertations are usually the culmination of research into a new fundamental discovery … the praxis is the application of that fundamental knowledge to practical problems in a new or novel way.” 

Students will have proposed a praxis problem as part of their application into the program, and faculty profiles and research interests will be collected from participants through a survey. From those findings, students will be matched with researchers.  

“We work together to find the right match for both the student and faculty. Of particular relevance to ICDS faculty, many D.Eng. students are looking at applications of artificial intelligence (AI), machine learning and/or data analytics to their proposed research,” Bilén said. “It could be drug discovery, electrical power grids, manufacturing … a lot of times they will be in a certain field and looking to see how these new tools can be applied to the field. They are applying computational tools to interdisciplinary domains that they are in. Students are engaged in impactful research.” 

Faculty researchers will have the opportunity to engage in interdisciplinary research. They will be able to collaborate and network with other researchers and students of different domains, expertise and research interests, according to Joanna F. DeFranco, associate director of the D.Eng. program, associate professor of software engineering. 

“The D.Eng. program can also be an opportunity to collaborate with other Penn State campuses,” DeFranco said. “It’s an opportunity to use their expertise in a different research domain, advise students and network with other faculty, and connect with industry.” 

“We are looking forward to meeting the new and current faculty that are interested and happy to meet with anyone who wants more information about the program,” Bilén said. 

An orientation for advisers to learn about the program and get to know the students will be taking place starting at noon on Thursday, Aug. 22 in Engineering Design and Innovation Building, rooms to be determined. The event will also take place via Zoom at https://psu.zoom.us/j/96760174939?pwd=vRuAZvbQoQ6kVtQ1egTLgMVZPz7iu1.1&from=addon. 

For more information on the program, contact DeFranco at jfd104@psu.edu.

Share

Related Posts

• Featured Researcher: Nick Tusay
• Multi-institutional team to use AI to evaluate social, behavioral science claims
• NSF invests in cyberinfrastructure institute to harness cosmic data
• Center for Immersive Experiences set to debut, serving researchers and students
• Distant Suns, Distant Worlds
• CyberScience Seminar: Researcher to discuss how AI can help people avoid adverse drug interactions
• AI could offer warnings about serious side effects of drug-drug interactions
• Taking RTKI drugs during radiotherapy may not aid survival, worsens side effects
• Cost-effective cloud research computing options now available for researchers
• Costs of natural disasters are increasing at the high end
• Model helps choose wind farm locations, predicts output
• Virus may jump species through ‘rock-and-roll’ motion with receptors
• Researchers seek to revolutionize catalyst design with machine learning
• Resilient Resumes team places third in Nittany AI Challenge
• ‘AI in Action’: Machine learning may help scientists explore deep sleep
• Clickbait Secrets Exposed! Humans and AI team up to improve clickbait detection
• Focusing computational power for more accurate, efficient weather forecasts
• How many Earth-like planets are around sun-like stars?
• Professor receives NSF grant to model cell disorder in heart
• SMH! Brains trained on e-devices may struggle to understand scientific info
• Whole genome sequencing may help officials get a handle on disease outbreaks
• New tool could reduce security analysts’ workloads by automating data triage
• Careful analysis of volcano’s plumbing system may give tips on pending eruptions
• Reducing farm greenhouse gas emissions may plant the seed for a cooler planet
• Using artificial intelligence to detect discrimination
• Four ways scholars say we can cut the chances of nasty satellite data surprises
• Game theory shows why stigmatization may not make sense in modern society
• Older adults can serve communities as engines of everyday innovation
• Pig-Pen effect: Mixing skin oil and ozone can produce a personal pollution cloud
• Researchers find genes that could help create more resilient chickens
• Despite dire predictions, levels of social support remain steady in the U.S.
• For many, friends and family, not doctors, serve as a gateway to opioid misuse
• New algorithm may help people store more pictures, share videos faster
• Head named for Ken and Mary Alice Lindquist Department of Nuclear Engineering
• Scientific evidence boosts action for activists, decreases action for scientists
• People explore options, then selectively represent good options to make difficult decisions
• Map reveals that lynching extended far beyond the deep South
• Gravitational forces in protoplanetary disks push super-Earths close to stars
• Supercomputer cluster donation helps turn high school class into climate science research lab
• Believing machines can out-do people may fuel acceptance of self-driving cars
• People more likely to trust machines than humans with their private info
• IBM donates system to Penn State to advance AI research
• ICS Seed Grants to power projects that use AI, machine learning for common good
• Penn State Berks team advances to MVP Phase of Nittany AI Challenge
• Creepy computers or people partners? Working to make AI that enhances humanity
• Sky is clearing for using AI to probe weather variability
• ‘AI will see you now’: Panel to discuss the AI revolution in health and medicine
• Privacy law scholars must address potential for nasty satellite data surprises
• Researchers take aim at hackers trying to attack high-value AI models
• Girls, economically disadvantaged less likely to get parental urging to study computers
• Seed grants awarded to projects using Twitter data
• Researchers find features that shape mechanical force during protein synthesis
• A peek at living room decor suggests how decorations vary around the world
• Interactive websites may cause antismoking messages to backfire
• Changing how government assesses risk may ease fallout from extreme financial events
• Symposium at U.S. Capitol seeks solutions to election security
• ICS co-sponsors Health, Environment Seed Grant Program
• Differences in genes’ geographic origin influence mitochondrial function
• ICS Affiliate named AGU fellow