• About
  • Disclaimer
  • Privacy Policy
  • Contact
Sunday, June 15, 2025
Cyber Defense GO
  • Login
  • Home
  • Cyber Security
  • Artificial Intelligence
  • Machine Learning
  • Data Analysis
  • Computer Networking
  • Disaster Restoration
No Result
View All Result
  • Home
  • Cyber Security
  • Artificial Intelligence
  • Machine Learning
  • Data Analysis
  • Computer Networking
  • Disaster Restoration
No Result
View All Result
Cyber Defense Go
No Result
View All Result
Home Artificial Intelligence

Puzzling out local weather change | MIT Information

Md Sazzad Hossain by Md Sazzad Hossain
0
Puzzling out local weather change | MIT Information
585
SHARES
3.2k
VIEWS
Share on FacebookShare on Twitter



Shreyaa Raghavan’s journey into fixing among the world’s hardest challenges began with a easy love for puzzles. By highschool, her knack for problem-solving naturally drew her to laptop science. By way of her participation in an entrepreneurship and management program, she constructed apps and twice made it to the semifinals of this system’s international competitors.

Her early successes made a laptop science profession look like an apparent selection, however Raghavan says a big competing curiosity left her torn.

“Laptop science sparks that puzzle-, problem-solving a part of my mind,” says Raghavan ’24, an Accenture Fellow and a PhD candidate in MIT’s Institute for Knowledge, Techniques, and Society. “However whereas I all the time felt like constructing cell apps was a enjoyable little passion, it didn’t really feel like I used to be instantly fixing societal challenges.”

Her perspective shifted when, as an MIT undergraduate, Raghavan participated in an Undergraduate Analysis Alternative within the Photovoltaic Analysis Laboratory, now often called the Accelerated Supplies Laboratory for Sustainability. There, she found how computational strategies like machine studying might optimize supplies for photo voltaic panels — a direct utility of her abilities towards mitigating local weather change.

“This lab had a really various group of individuals, some from a pc science background, some from a chemistry background, some who had been hardcore engineers. All of them had been speaking successfully and dealing towards one unified objective — constructing higher renewable vitality methods,” Raghavan says. “It opened my eyes to the truth that I might use very technical instruments that I take pleasure in constructing and discover achievement in that by serving to remedy main local weather challenges.”

Together with her sights set on making use of machine studying and optimization to vitality and local weather, Raghavan joined Cathy Wu’s lab when she began her PhD in 2023. The lab focuses on constructing extra sustainable transportation methods, a discipline that resonated with Raghavan attributable to its common influence and its outsized position in local weather change — transportation accounts for roughly 30 % of greenhouse fuel emissions.

“If we had been to throw the entire clever methods we’re exploring into the transportation networks, by how a lot might we scale back emissions?” she asks, summarizing a core query of her analysis.

Wu, an affiliate professor within the Division of Civil and Environmental Engineering, stresses the worth of Raghavan’s work.

“Transportation is a essential component of each the economic system and local weather change, so potential modifications to transportation have to be fastidiously studied,” Wu says. “Shreyaa’s analysis into good congestion administration is vital as a result of it takes a data-driven strategy so as to add rigor to the broader analysis supporting sustainability.”

Raghavan’s contributions have been acknowledged with the Accenture Fellowship, a cornerstone of the MIT-Accenture Convergence Initiative for Trade and Expertise. 

As an Accenture Fellow, she is exploring the potential influence of applied sciences for avoiding stop-and-go site visitors and its emissions, utilizing methods corresponding to networked autonomous autos and digital velocity limits that adjust based on site visitors circumstances — options that might advance decarbonization within the transportation part at comparatively low price and within the close to time period.

Raghavan says she appreciates the Accenture Fellowship not just for the assist it offers, but additionally as a result of it demonstrates business involvement in sustainable transportation options.

“It’s vital for the sector of transportation, and in addition vitality and local weather as a complete, to synergize with the entire totally different stakeholders,” she says. “I feel it’s vital for business to be concerned on this concern of incorporating smarter transportation methods to decarbonize transportation.”

Raghavan has additionally acquired a fellowship supporting her analysis from the U.S. Division of Transportation.

“I feel it’s actually thrilling that there’s curiosity from the coverage facet with the Division of Transportation and from the business facet with Accenture,” she says.

Raghavan believes that addressing local weather change requires collaboration throughout disciplines. “I feel with local weather change, nobody business or discipline goes to unravel it by itself. It’s actually bought to be every discipline stepping up and attempting to make a distinction,” she says. “I don’t suppose there’s any silver-bullet resolution to this downside. It’s going to take many alternative options from totally different individuals, totally different angles, totally different disciplines.”

With that in thoughts, Raghavan has been very lively within the MIT Vitality and Local weather Membership since becoming a member of about three years in the past, which, she says, “was a extremely cool technique to meet tons of people that had been working towards the identical objective, the identical local weather objectives, the identical passions, however from fully totally different angles.”

This 12 months, Raghavan is on the neighborhood and training workforce, which works to construct the neighborhood at MIT that’s engaged on local weather and vitality points. As a part of that work, Raghavan is launching a mentorship program for undergraduates, pairing them with graduate college students who assist the undergrads develop concepts about how they will work on local weather utilizing their distinctive experience.

“I didn’t foresee myself utilizing my laptop science abilities in vitality and local weather,” Raghavan says, “so I actually wish to give different college students a transparent pathway, or a transparent sense of how they will get entangled.”

Raghavan has embraced her space of examine even when it comes to the place she likes to suppose.

“I like engaged on trains, on buses, on airplanes,” she says. “It’s actually enjoyable to be in transit and dealing on transportation issues.”

Anticipating a visit to New York to go to a cousin, she holds no dread for the lengthy practice journey.

“I do know I’m going to do a few of my greatest work throughout these hours,” she says. “4 hours there. 4 hours again.”

You might also like

Ctrl-Crash: Ny teknik för realistisk simulering av bilolyckor på video

Why Creators Are Craving Unfiltered AI Video Mills

6 New ChatGPT Tasks Options You Have to Know



Shreyaa Raghavan’s journey into fixing among the world’s hardest challenges began with a easy love for puzzles. By highschool, her knack for problem-solving naturally drew her to laptop science. By way of her participation in an entrepreneurship and management program, she constructed apps and twice made it to the semifinals of this system’s international competitors.

Her early successes made a laptop science profession look like an apparent selection, however Raghavan says a big competing curiosity left her torn.

“Laptop science sparks that puzzle-, problem-solving a part of my mind,” says Raghavan ’24, an Accenture Fellow and a PhD candidate in MIT’s Institute for Knowledge, Techniques, and Society. “However whereas I all the time felt like constructing cell apps was a enjoyable little passion, it didn’t really feel like I used to be instantly fixing societal challenges.”

Her perspective shifted when, as an MIT undergraduate, Raghavan participated in an Undergraduate Analysis Alternative within the Photovoltaic Analysis Laboratory, now often called the Accelerated Supplies Laboratory for Sustainability. There, she found how computational strategies like machine studying might optimize supplies for photo voltaic panels — a direct utility of her abilities towards mitigating local weather change.

“This lab had a really various group of individuals, some from a pc science background, some from a chemistry background, some who had been hardcore engineers. All of them had been speaking successfully and dealing towards one unified objective — constructing higher renewable vitality methods,” Raghavan says. “It opened my eyes to the truth that I might use very technical instruments that I take pleasure in constructing and discover achievement in that by serving to remedy main local weather challenges.”

Together with her sights set on making use of machine studying and optimization to vitality and local weather, Raghavan joined Cathy Wu’s lab when she began her PhD in 2023. The lab focuses on constructing extra sustainable transportation methods, a discipline that resonated with Raghavan attributable to its common influence and its outsized position in local weather change — transportation accounts for roughly 30 % of greenhouse fuel emissions.

“If we had been to throw the entire clever methods we’re exploring into the transportation networks, by how a lot might we scale back emissions?” she asks, summarizing a core query of her analysis.

Wu, an affiliate professor within the Division of Civil and Environmental Engineering, stresses the worth of Raghavan’s work.

“Transportation is a essential component of each the economic system and local weather change, so potential modifications to transportation have to be fastidiously studied,” Wu says. “Shreyaa’s analysis into good congestion administration is vital as a result of it takes a data-driven strategy so as to add rigor to the broader analysis supporting sustainability.”

Raghavan’s contributions have been acknowledged with the Accenture Fellowship, a cornerstone of the MIT-Accenture Convergence Initiative for Trade and Expertise. 

As an Accenture Fellow, she is exploring the potential influence of applied sciences for avoiding stop-and-go site visitors and its emissions, utilizing methods corresponding to networked autonomous autos and digital velocity limits that adjust based on site visitors circumstances — options that might advance decarbonization within the transportation part at comparatively low price and within the close to time period.

Raghavan says she appreciates the Accenture Fellowship not just for the assist it offers, but additionally as a result of it demonstrates business involvement in sustainable transportation options.

“It’s vital for the sector of transportation, and in addition vitality and local weather as a complete, to synergize with the entire totally different stakeholders,” she says. “I feel it’s vital for business to be concerned on this concern of incorporating smarter transportation methods to decarbonize transportation.”

Raghavan has additionally acquired a fellowship supporting her analysis from the U.S. Division of Transportation.

“I feel it’s actually thrilling that there’s curiosity from the coverage facet with the Division of Transportation and from the business facet with Accenture,” she says.

Raghavan believes that addressing local weather change requires collaboration throughout disciplines. “I feel with local weather change, nobody business or discipline goes to unravel it by itself. It’s actually bought to be every discipline stepping up and attempting to make a distinction,” she says. “I don’t suppose there’s any silver-bullet resolution to this downside. It’s going to take many alternative options from totally different individuals, totally different angles, totally different disciplines.”

With that in thoughts, Raghavan has been very lively within the MIT Vitality and Local weather Membership since becoming a member of about three years in the past, which, she says, “was a extremely cool technique to meet tons of people that had been working towards the identical objective, the identical local weather objectives, the identical passions, however from fully totally different angles.”

This 12 months, Raghavan is on the neighborhood and training workforce, which works to construct the neighborhood at MIT that’s engaged on local weather and vitality points. As a part of that work, Raghavan is launching a mentorship program for undergraduates, pairing them with graduate college students who assist the undergrads develop concepts about how they will work on local weather utilizing their distinctive experience.

“I didn’t foresee myself utilizing my laptop science abilities in vitality and local weather,” Raghavan says, “so I actually wish to give different college students a transparent pathway, or a transparent sense of how they will get entangled.”

Raghavan has embraced her space of examine even when it comes to the place she likes to suppose.

“I like engaged on trains, on buses, on airplanes,” she says. “It’s actually enjoyable to be in transit and dealing on transportation issues.”

Anticipating a visit to New York to go to a cousin, she holds no dread for the lengthy practice journey.

“I do know I’m going to do a few of my greatest work throughout these hours,” she says. “4 hours there. 4 hours again.”

Tags: ChangeclimateMITNewsPuzzling
Previous Post

Important Flood Cleanup Ideas for a Speedy Restoration

Next Post

Nico Lange: „Cybersicherheit ist eine Frage der Verteidigung“

Md Sazzad Hossain

Md Sazzad Hossain

Related Posts

Artificial Intelligence

Ctrl-Crash: Ny teknik för realistisk simulering av bilolyckor på video

by Md Sazzad Hossain
June 15, 2025
Why Creators Are Craving Unfiltered AI Video Mills
Artificial Intelligence

Why Creators Are Craving Unfiltered AI Video Mills

by Md Sazzad Hossain
June 14, 2025
6 New ChatGPT Tasks Options You Have to Know
Artificial Intelligence

6 New ChatGPT Tasks Options You Have to Know

by Md Sazzad Hossain
June 14, 2025
combining generative AI with live-action filmmaking
Artificial Intelligence

combining generative AI with live-action filmmaking

by Md Sazzad Hossain
June 14, 2025
Photonic processor may streamline 6G wi-fi sign processing | MIT Information
Artificial Intelligence

Photonic processor may streamline 6G wi-fi sign processing | MIT Information

by Md Sazzad Hossain
June 13, 2025
Next Post
Nico Lange: „Cybersicherheit ist eine Frage der Verteidigung“

Nico Lange: „Cybersicherheit ist eine Frage der Verteidigung“

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

Recommended

Log Hyperlink vs Log Transformation in R — The Distinction that Misleads Your Complete Information Evaluation

Log Hyperlink vs Log Transformation in R — The Distinction that Misleads Your Complete Information Evaluation

May 12, 2025
The Carruth Knowledge Breach: What Oregon Faculty Staff Must Know

The Benefits of Partnering with Native IT Professionals for Your Legislation Companies

May 3, 2025

Categories

  • Artificial Intelligence
  • Computer Networking
  • Cyber Security
  • Data Analysis
  • Disaster Restoration
  • Machine Learning

CyberDefenseGo

Welcome to CyberDefenseGo. We are a passionate team of technology enthusiasts, cybersecurity experts, and AI innovators dedicated to delivering high-quality, insightful content that helps individuals and organizations stay ahead of the ever-evolving digital landscape.

Recent

Dutch police determine customers as younger as 11-year-old on Cracked.io hacking discussion board

Dutch police determine customers as younger as 11-year-old on Cracked.io hacking discussion board

June 15, 2025

Ctrl-Crash: Ny teknik för realistisk simulering av bilolyckor på video

June 15, 2025

Search

No Result
View All Result

© 2025 CyberDefenseGo - All Rights Reserved

No Result
View All Result
  • Home
  • Cyber Security
  • Artificial Intelligence
  • Machine Learning
  • Data Analysis
  • Computer Networking
  • Disaster Restoration

© 2025 CyberDefenseGo - All Rights Reserved

Welcome Back!

Login to your account below

Forgotten Password?

Retrieve your password

Please enter your username or email address to reset your password.

Log In