Aman Burman
+971 553663900 | aman.burman04@gmail.com
Arabian Ranches Alma Street 1 Villa 54 Dubai 503230
Research
I am currently researching ‘on the habitability of
Exomoons’ under the supervision of Dr Tansu Daylan, LSSTC Catalyst
Fellow, Princeton University, former Fellow at Kavli Institute for Astrophysics
and Space Research, MIT & Fall 2023: incoming assistant professor of
physics at Washington University in St. Louis.
Over the last 1 year I researched about the various energy sources that moons
outside our solar system are exposed to. Mainly, stellar irradiance, tidal
heating, and remnant energy have been explored. The goal of the project is to evaluate
the equations for these heat sinks and perform forward modelling on a realistic
distribution of exomoons based on the properties of moons in our solar system
such as semi-major axis, eccentricity, albedo, etc. This will allow us to
determine if an exomoon with specified physical and orbital parameters can
sustain life.
I presented my research and findings during an Astro-coffee session at
Princeton university in 2022 summer. This research paper will be submitted for
publication in a peer reviewed Journal in 2023.
In 2022 summer, I did mini research on the stability in a
Star-Planet-Moon three-body system. The goal of the project was to analyze the
three-body problem of various star-planet-moon configurations. The project was
supervised by Dr Michios Sortiris, Aristotle University of
Thessaloniki, Greece and Dr Stephen Wolfram.
In this project, we have analyzed the stability of a Star-Planet-Moon
three-body system. We have altered initial conditions of the particles such as
mass, position, and velocity in order to see how it affects chaos in the system.
The concept of systems going from a state of order to chaos and from chaos to
order have also been explored. We have represented the trajectories of the
particles using three dimensional visualizations of the orbits which helped me
to study the interactions. Extending the work that has been done to N bodies
would be very beneficial as space is composed of systems of multiple bodies
with complex arrangements. Additionally, we hope to extend the project by
generating probabilities for the chance of a system becoming chaotic after a
period of time.
I presented my research and findings to the Wolfram team in July, 2022 and
published the research paper in Wolfram Community.
In June 2022, I embarked on a project focusing on
analyzing data on isotopic measurements of Calcium-Aluminum inclusions. This
research was initiated under the supervision of Dr. Emilie Dunham,
Pegasi b Postdoctoral Fellow at UCLA . I went through numerous
research papers and recorded aluminum and magnesium data of different
Meteorites. I specifically looked at initial 26 aluminium and 27 aluminum
ratios and how abundant each of the ratios were. The dataset collected would be
used to understand the origin of the universe
Although I started this endeavor as a mini-research project and initially
planned to complete this at the end of summer, as I progressed and started
gathering interesting dataset, Dr Emilie & I further discussed about
extending the project into a full length research with the idea of co-authoring
a paper in a leading journal.
I conducted research on cosmology under the supervision of Mr. Sandip Roy, a PHD student at Princeton university. I looked closely at the homogeneity and isotropic universe, derived the Friedmann equations using Newtonian physics and worked with differential equations to solve the Friedmann equations, used numpy and python to simulate physical systems and the rate of acceleration of the universe by inputting and solving the Friedmann equation. I published a research article about the accelerating universe and Friedmann equation.
I conducted research on Natural Language Processing under the supervision of Mr. Eric Bradford, MIT class of 2019 and an AI professional at Apple. The research project required analysis of Supervised and Unsupervised Machine Learning Algorithms: Logistic and Linear Regression, Support Vector Machine, Gradient Descent, Neural Network Models: CNN, RNN, abstractive text summarization algorithms: Bidirectional Encoder-Decoder model – BERT, T5, GPT and K-Means Clustering etc on legal cases. I have also used Keras and Pytorch APIs to train T5 and GPT model to summarize legal cases. I have created a Streamlit app using Python to accept the legal docs as input and generated summarized texts for these documents.
Projects
Educational project for underprivileged children – 2018-Till Date
I founded Prepsaurus.com and am currently working actively with an NGO, Transform Schools and created STEM curriculum for underprivileged students. (https://prepsaurus.com). I have also constructed a syllabus for Scratch, robotics, coding and artificial intelligence and signed an MOU with Transform Schools, based in India, to deliver STEM and coding courses for 5000 underprivileged children over the next 1 year and scale the model further in the coming years.
https://www.transformschools.in/ and http://www.peopleforaction.org/
Additionally, I have partnered with Fawe Gahini in Rwanda to work alongside 200+ students and the school management to deliver the content of Prepsaurus to students of the school. I am also discussing with Plan Canada and Unicef representatives to scale the model to other geographies.
Rise Global Challenge Finalist – Oct 2021- May 2022
I founded Prepsaurus.com and am currently working actively with an NGO, Transform Schools and created STEM curriculum for underprivileged students. (https://prepsaurus.com). I have also constructed a syllabus for Scratch, robotics, coding and artificial intelligence and signed an MOU with Transform Schools, based in India, to deliver STEM and coding courses for 5000 underprivileged children over the next 1 year and scale the model further in the coming years.
https://www.transformschools.in/ and http://www.peopleforaction.org/
Additionally, I have partnered with Fawe Gahini in Rwanda to work alongside 200+ students and the school management to deliver the content of Prepsaurus to students of the school. I am also discussing with Plan Canada and Unicef representatives to scale the model to other geographies.
Gravitational Waves Workshop Organized by Caltech – May 2022
Advanced LIGO and Advanced Virgo are now observing the gravitational-wave sky with unprecedented sensitivity. To date, there have been over 60 potential gravitational-wave transients observed, and planned detector upgrades are likely to accelerate the pace of discovery in the coming years. This new window on the universe is providing insights on a range of topics, including compact body populations, cosmology, and fundamental physics. LIGO and Virgo strain data from past observation runs and data snippets around discoveries are made publicly available at gw-openscience.org, along with associated software libraries. The GW workshop, May 2022 was intended for scientists and students that wish to learn about using gravitational-wave data and software in order to conduct research of their own.
As a part of the GW workshop organized by Caltech in May 2022, I was involved in going through video lectures on fundamentals of GW Wave, detection techniques and tutorials related to libraries such as GWPy, PyCBC, GSTLal etc. I also participated in GW data challenge and solved three challenging problems.
Breakthrough Junior Challenge – June 2021/2022
I produced a 3-minute video titled ‘Time Travel: Science Fiction or Reality?’ in 2021 where I discussed several topics such as the theories of relativity, understanding of wormholes, forward/backward time travel and their implications on whether time travel can be achieved or not. link: https://www.youtube.com/watch?v=bRXapcXSEx4. In 2022, I produced a 1.5-miniute video titled ‘Habitability of planetary bodies’. https://www.youtube.com/watch?v=j_tXdxnUPDU
The Basel Problem – March 2021
I derived The Basel problem and presented it for the selection of World Science Scholar Program. The Basel problem solution computes the summation of the reciprocals of the squares of the natural numbers. Link:
https://www.youtube.com/watch?v=CczGhH7-Jjk
TEDX Talk: Where is Everybody? - 2018
I spoke in TED Talk titled, ‘Where is everybody’. I discussed in depth about the fermi’s paradox. It is a paradox that states humans will never be able to interact with aliens, discussed the drake equation and mentioned the different methods that the human race have used or are using to let aliens know that we exist and the difficulties of contacting extra-terrestrial life and how they might react to our messages.
Dubai Association of Varsity Sports -2021-2022
I collaborated with a team of students from my basketball team and developed a website to store statistics for players and scores of all the basketball matches that were played for u19 teams in Dubai.
CERN Beamline for Schools – May 2022
I collaborated with eight other students from my class and designed an experiment to verify the Lorentz Transform by analyzing muon time dilation.
Internship
Ontology Data Pruning @Parabole.ai , Bangalore (Dec 2021- June 2022)
I researched and implemented Ontology Data Pruning algorithms, developed analytical tools based on AI, ML and NLP to create use-case specific deep learning models. During the internship I learned various techniques related to AI and ML and applications for banking, manufacturing industry and medical fields. I also worked with senior software engineers and developed solutions for financial and banking industry. The solutions enabled business houses to train AI models without writing any code.
Redesigning Classcard interface, ClassCard Inc, Dubai (July-Aug 2021)
I worked on ClassCard, a platform developed to manage educational institutions and full life cycle of students, teachers, classes and payment management. I redesigned the interface of the website – represented various information such as leads, attendance, demographics, staff and student details in user friendly way. I coded using PHP and Laravel to create more efficient reports for the company and worked extensively with large databases and queries to retrieve specific data of the clients of companies. I analyzed data using statistical tools – matplotlib, numpy, pandas to identify customer interests on various courses and devised a sales strategy for the company.
Indian Statistical Institute, Kolkata: July-Aug 2019
I was selected to work on a computer science project at the prestigious Indian Statistical Institute in India in 2019 summer. I implemented various data structures such as linked list, trees in C++ and developed code to optimize flight paths between airports of different countries. I learned Dijkstra’s shortest path algorithm, graph theory-depth first/breadth first searching and their real-life application.