Emerging voice: ASU engineering student’s podcast draws accolades

Portrait of ASU computer science doctoral student and researcher Jay Shah with a microphone.

Jay Shah is pictured in his property podcast studio.

The “Equipment Learning Podcast with Jay Shah” now has almost 4,000 subscribers on YouTube, superior quantities on Spotify and Apple Podcasts, and overall has more than 150,000 downloads.

“I’ve figured out that the good quality of the content material you provide and the supply of the information is a little something that can established you apart in the small business of podcasts,” Shah says.

“I am not a experienced podcaster, but at least in the equipment learning and deep studying space, I am in a major classification. I think I have matured to the level wherever I can assure that if you are fascinated in AI or machine mastering, you will come across something useful in my podcast,” he states.

Shah can back up that claim with some of the notice the podcast has drawn. Previously this yr, it was featured in the “5 Very best Machine Finding out & AI Podcasts” by the Unite.AI web-site. Welp Journal chosen it as a single of the “20 Most effective Device Mastering Podcasts of 2021.”

A previous specialized director for the Fulton Schools Synthetic Intelligence Club, Shah was also picked as an IEEE Impression Creator by the Institute of Electrical and Electronics Engineers and has been interviewed on the “IEEE Spectrum” podcast and the “CurryUp Leadership Podcast.”

Samarth Parikh is amongst avid longtime followers of the podcast. He is Shah’s former classmate at the Dhirubhai Ambani Institute of Information and facts and Communication Technologies in India, in which they every single gained a bachelor’s degree in data and interaction technological innovation.

Parikh, who now performs for Oracle Cloud Infrastructure, says Shah does a very good job holding his viewers up to date on AI and equipment learning trends. But the podcast is most precious for how it is successfully educating the community and youthful learners about the crucial contributions these technologies can make to culture, he claims.

“A ton of the converse in these fields can get remarkably technical and esoteric. So I feel how Jay is ready to explain issues in methods that most persons can grasp is one particular of his greatest achievements,” Parikh claims.

“I notify engineers all the time that they can do wonderful matters, but they will not get the credit history they have earned for it if they can not clarify it to individuals who are not engineers,” he says. “Jay is showing how to do that.”

Shah has so far acquired a lot more than 100 messages via LinkedIn and Twitter from students and engineers who say his podcasts have furnished information and facts and insights that have aided their endeavors.

Neelanshi Varia, an AI specialist for Deloitte, a significant organization consulting organization, suggests Shah’s podcast “is special in that the content material spreads throughout a large spectrum of what is occurring in AI in academia and sector, all communicated in a way that is easy to understand and applicable.”  

His podcast “covers anything from strategies for college students to wherever the AI marketplace is going and wherever the next innovation is happening,” claims Varia, who develops AI remedies for businesses in the life sciences, wellbeing treatment, retail and finance industries. 

“Given the infancy of our field, it is complicated to get solutions on the internet or to contact professionals. But Jay’s podcast is like an encyclopedia for obtaining out about the newest machine understanding research, enhancement and apps,” she says. “He also incorporates his viewers’ opinions, concerns and suggestions, which is extremely beneficial for listeners.”

Promising outlook for AI, equipment studying

Shah’s achievements increase beyond enriching the dialogue in his fields of experience. He is also serving to boost the overall performance and multiply the purposes of AI and machine understanding technologies.

A significant concentrate of his analysis is the use of AI and deep learning in health care purposes. Particularly, it includes discovering employs of healthcare imaging for the discovery of the biomarkers for post-traumatic headache and Alzheimer’s disease in collaboration with specialists at the ASU-Mayo Heart for Impressive Imaging, the Banner Alzheimer’s Institute and the Barrow Neurological Institute in Arizona.

His AI-centered function on these initiatives is overseen by Professor Teresa Wu, co-interim director of the Faculty of Computing and Augmented Intelligence, and Professor Baoxin Li, a faculty member in the school’s pc science and engineering plan and co-director of ASU-Mayo Middle for Revolutionary Imaging. Both are also Shah’s doctoral scientific tests co-advisers.

Wu describes Shah as innovative, enthusiastic, an keen learner and a difficult-doing the job and fully commited researcher. All of people positive attributes, alongside with his need to be of support to fellow pupils and specialist colleagues, are mirrored by the rising results of his podcast, Wu says.

She sees his use of social media to arrive at out and link to AI and machine discovering communities as “a wonderful idea” that can aid enhance training and spark innovation. Li sights Shah’s podcast as exceptionally useful for motivating other students’ fascination in AI.

Though finishing scientific studies and investigate for his doctoral degree and trying to keep the podcast going, Shah is also performing at Amazon as a analysis scientist intern. He’s helping create new personal computer-based mostly techniques to make improvements to wellness and exercise.

Shah foresees developing options in a extensive selection of industries, scientific pursuits and engineering apps for those people with experience in AI, equipment learning, deep discovering and pc vision. Main companies, governments and educational establishments are presently closely investing in those systems, he says.

“That implies every person is heading to be generating extra and more details, and they’ll will need specialists in utilizing that facts as the foundation for guiding a lot of huge conclusions,” Shah suggests. “So curiosity in these fields is not going to end.”

Furthermore, fascination in podcasts exploring these fields looks particular to be on the upswing for many years to come.