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Welcome to Energy and Environmental Simulation Laboratory (EESLab).
For new students, please visit About page.

Also please join the EESL student facebook page: https://www.facebook.com/EESLab

Lab Profile : summary of activities on this website
Home : recent posts (this page)
About : description of this research lab
Projects : research in energy, environmental engineering, computing for sustainability
People : lab members
Conferences : poster & oral presentations, proceedings, pics etc.
Contact : contact info
Links : other related sites


Energy and Environmental Simulation  Laboratory (EESLab) in Mech Dept  | New York City College of Technology (New York City Tech) | The City University of New York (CUNY) | 186 Jay Street, Voorhees 532, Brooklyn, NY 11201 | Tel: +1 718 260 5532 | Email: mnakamura@citytech.cuny.edu

Energy and Environment are topics engineering students wish to work on

#Engineering #students have selected @elonmusk’s Space X and Tesla as the most attractive #employers in the #UnitedStates, according to @UniversumGlobal

Also, USEPA (18th) and DOE (23th) are ranked in the top 30. Energy and Environment are topics they wish to work on.

@SpaceX @Tesla @Google @Boeing @NASA @LockheedMartin @Apple @Microsoft @amazon @exxonmobil

via https://www.teslarati.com/tesla-spacex-best-employers-2019-elon-musk

Creating an AI can be five times worse for the planet than a car

We have to use for training ().

Training artificial intelligence is an energy intensive process. New estimates suggest that the carbon footprint of training a single AI is as much as 284 tonnes of carbon dioxide equivalent – five times the lifetime emissions of an average car.

Emma Strubell at the University of Massachusetts Amherst in the US and colleagues have assessed the energy consumption required to train four large neural networks, a type of AI used for processing language.

Language-processing AIs underpin the algorithms that power Google Translate as well as OpenAI’s GPT-2 text generator, which can convincingly pen fake news articles when given a few lines of text.

New Scientist Magazine issue 3234 , published 15 June 2019


Research Assistant Ryan Redhead is Accepted to NYU Tandon School of Engineering in His Senior Year

Interview with Ryan on getting accepted and what it took:

What made you declare a major in engineering in the first place?

The reason I declared my major as Engineering is mostly because my father is a mechanical engineer. He is the smartest, most well-rounded individual I have ever known and since I strive to be like him in the future, I figured I would also take on his occupation. I have also excelled at math and science for my whole life so it was a good fit for me.

Did you know that graduate school was in your future when you began at City Tech? If not, what changed that?

I did not originally plan to go to grad school but the more courses I took for my bachelors, the more curious I became, and at that point, I realized that graduate school looked like the best option for me.

Was NYU your first choice for grad school and why?

NYU was my first choice for grad school and funny enough it was also the only school I applied to which was a really bad idea, but it ended up working out for me thankfully. NYU is close to my home so I can save on the housing costs and also it was my dream school for a long time. It was where I originally wanted to do my bachelors. NYU also has great facilities and professors which I hope to utilize to its furthest potential in the near future.

What steps did you have to take to get accepted before graduations?

I had filled out the application which included things like letters of recommendation, resume/cv, a few essays, and GRE test scores. I took about two months to study for the GRE to practice on many problems and study vocabulary words. Also, I took a few timed tests before the actual test day to ensure I could focus for the duration of the test.

Do you know what areas of research you will be working on at NYU?

I am hoping to do more in-depth research in areas like fluid/ solid mechanics to expand my knowledge and understanding of the topics themselves.

Any advice to upcoming seniors?

My advice would be to take the GRE as early as possible so you can maximize your score. Also to do research with a few professors before leaving the college. There are many amazing professors that have a variety of specialties to learn from which can help you become a more well rounded engineer. They should also try to do at least one internship before graduation since this will give you some real world experience with what engineers do on a day to day basis. Lastly I would say that upcoming seniors should always remain curious since this is what I feel is the most significant reason one should pursue graduate school.