Author: Professor Asensio

Professor Omar Asensio named to the New Voices cohort at the National Academies of Sciences, Engineering and Medicine (NASEM)

The New Voices in Science, Engineering and Medicine Program announces its 2021-2023 cohort of 22 early career leaders (within 10-12 years from their Ph.D.) from academia, industry, government, and non-profit organizations. The new members are rising stars in their fields and have been selected through a competitive review process out of nearly 300 applicants. The New Voices program was launched by the National Academies of Sciences, Engineering, and Medicine in 2018 as an initiative to bring diverse perspectives from early-career U.S. leaders to important dialogues around how science, engineering, and medicine are shaping the global future. 

The program is made possible with support from the Gordon and Betty Moore Foundation. 

More info: 

www.nas.edu/newvoices

https://www.nationalacademies.org/our-work/new-voices-in-sciences-engineering-and-medicine

Ivan Allen College Press Release (July 2021):

https://spp.gatech.edu/news/item/648887/asensio-named-national-academies-voices-cohort

Omar Asensio 300-word biography

Group member Biographies:Download

Patterns research featured in Government of India AI portal

https://indiaai.gov.in/research-reports/topic-classification-of-electric-vehicle-consumer-experiences-with-transformer-based-deep-learning

News

Key Takeaways

  • The transport sector is by far the biggest contributor towards greenhouse gas emissions which is pushing governments across the globe to adopt electric vehicles as a solution
  • However, adoption has its own challenges such as lack of proper infrastructure. The government has failed to utilize structured consumer data to identify underlying trends in the reviews
  • However, algorithms have successfully enabled analysis of digital data, a feat which was never achieved before
  • All the models developed have an impressive accuracy rate (defined as F1 score) of more than 90% thereby outperforming previous algorithms
  • Models, when trained on high-quality expert curated training data, has the potential to outperform even human experts

DSP Lab 2020 Internships

Data Science and Policy lab 2020 student internships

Congratulations to our research lab members on the 2020 Internships. Here’s a selection.

Summer 2020

Sameer Dharur

Sameer Dharur worked as a conversational AI intern at Salesforce in Bellevue, WA. He worked on Reply Recommendations – a Salesforce product that enables quicker communication for businesses and customers by using AI to suggest responses to commonly asked questions. Sameer worked to eliminate redundant recommendations, increase semantic diversity and account for a wider range of business use-cases, while suggesting appropriate responses. Sameer is a Masters student in Computer Science.

Susie Ha

Susie Ha worked as a quantitative analytics intern at Wells Fargo in New York, NY. She joined the Advanced Technologies for Modeling (AToM) Group of Corporate Model Risk. She worked on text classification problems using small sample (~10) training data, i.e. few-shot learning to improve automation of customer service. Susie is a dual Ph.D. student in Computational Science & Engineering and Civil and Environmental Engineering, with minor in Public Policy.

Kira O’Hare

Kira O’Hare worked as a research intern in the commercial buildings group at the National Renewable Energy Lab (NREL) in Golden, CO. She conducted market analyses of thermal energy storage. She studied various storage sizes to calculate utilization and grid peak savings aggregated over different building types, HVAC types, and ISO regions. Her project evaluated characteristics of buildings and their respective loads that would indicate thermal energy storage could provide large grid peak shavings with minimal investment. Kira O’Hare is an Industrial & Systems Engineering (ISyE) major specializing in analytics and data science, with a minor in public policy.

Taylor Sparacello

Taylor Sparacello worked as a data privacy intern at WarnerMedia in Atlanta, GA, the entertainment and media company that owns brands such as HBO, Cinemax, and Warner Bros. Taylor worked with the Privacy Operations team to prepare the company for external privacy audits and compliance with applicable legislation, including Europe’s General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA). Taylor is a B.S. Mechanical Engineering student minoring in Law, Science & Technology.

Fall 2020

Matteo Zullo

Matteo Zullo will be working at global consulting firm Protiviti in Milan, Italy. The California-based firm is increasing its presence in business analytics and attracting candidates with machine learning and computing skills. Matteo will be working with client companies active in the industrial and financial sectors focusing on process mining and operations.

M. Cade Lawson

Cade Lawson will be working as a data intern at Fedex in Memphis, TN.

Behind the Paper feature: Nature Research blog

From the paper titled: “Real-time data from mobile platforms to evaluate sustainable transportation infrastructure”

Using Artificial Intelligence to Drive Electric Vehicle Policy Findings.

When it comes to getting people to buy electric cars, a lot of the issues are not really about pricing or economics. Perceptions about the quality and reliability of the charging experience are important drivers of consumer sentiment. Read some behind-the-paper insights at the Nature Research blog by Professor Asensio.

https://sustainabilitycommunity.springernature.com/videos/using-artificial-intelligence-to-drive-electric-vehicle-policy-findings?channel_id=1385-behind-the-paper