Siddhant Attavar
IOL Silver Medalist | APLO Medalist | APIO Medalist | IOITC Qualifier | IRIS Finalist
About
I am a high school student at NPS Indiranagar. My main interests are competitive programming, linguistics, machine learning, and bioinformatics (particularly computational neuroscience). I have developed several apps and products which have won awards at the international level. I also have a keen interest in the International Linguistics Olympiad (IOL) and International Informatics Olympiad (IOI).
Awards
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September 2022
Schmidt Futures, Rhodes Trust
Rise Global Winner
Top 100 students selected to be part of the 2022 Rise Global Winner cohort out of 80,000 applicants. Results: https://www.risefortheworld.org/global-winners
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July 2022
International Linguistics Olympiad, Lingomann
International Linguistics Olympiad Silver Medal
Received a silver medal in the International Linguistics Olympiad, 2022 held in Isle of Man, UK. Came 28th out of 200+ participants. Got the highest score from India. Results: https://ioling.org/results/2022/
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May 2022
Asia Pacific Informatics Olympiad
Asia Pacific Informatics Olympiad Bronze Medal
2nd place amongst Indian contestants in APIO. Results: https://www.apio2022.org/ranking
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April 2022
Asia Pacific Linguistics Olympiad
Asia Pacific Linguistics Olympiad 2019/22 Bronze Medal
3rd place amongst Indian contestants in APLO. Results: https://aplo.asia/results/aplo-2022-results/
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April 2022
Hewlett Packard Enterprise
HPE Codewars 2021 2nd place; 2022 4th Place
Placed 2nd in 2021 and 4th in 2022 amongst 2500+ participants. Got a chance to run an experiment on the HPE Spaceborne-2 supercomputer onboard the International Space Station. Results: https://www.codingal.com/competitions/hpe-codewars-2022-code-battle/leaderboard/
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January 2022
Exstemplar Education Foundation; Department of Science and Technology, India · Jan 2022
IRIS National Fair 2020/21/22 Finalist
Top 100 projects at IRIS National Fair for my projects: 1. SimAID - an agent-based simulation model and decision support tool for pandemics; 2. SMART: Stroke Monitoring and Rehabilitation using Technology.; 3. DriveSafe: A smartphone app to monitor reckless driving behaviours. Results: https://www.irisnationalfair.org
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June 2021
Hong Kong Federation of Youth Groups
GYSTB 2021 Second Prize Winner
Second Prize at Global Youth Science and Technology Bowl 2021 for project "Stroke Monitoring And Rehabilitation using Technology". Results: https://hkfyg.org.hk/en/2021/06/25/gystb2021/
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June 2021
Genius Olympiad
Genius Olympiad 2021 Gold Award Winner
Gold Award in Science Category of Genius Olympiad for project "Stroke Monitoring And Rehabilitation using Technology". Results: https://geniuscountries.s3.us-east-2.amazonaws.com/GENIUS_2020_2021_Awardee_List.pdf
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January 2020
Indian Institute of Technology, Bombay
IITB Techfest Innovation Challenge Winner
Won 1st place in IITB Techfest's Innovation Challenge for my project "A smart Irrigation-as-a-Service (SIAS) solution for reducing water consumption in sugarcane".
Projects
- SimAID: Simulating and Analyzing Infectious Diseases: The Covid-19 pandemic has shown the importance of decision support tools to help policy-makers optimally time intervention policies while balancing socio-economic costs. My project, SimAID, is an agent-based model that simulates the spread of an infectious disease while also analyzing the impact of policy measures like lock-downs, vaccinations, etc. I made several design choices to allow SimAID to best model real-life behavior. First, I chose an agent-based model over a purely mathematical model to allow for the demographic heterogeneity of the population. A graph-based, probabilistic agent movement system using grids was then developed to model real-life interaction between segments of the population. The primary bottleneck of the simulation is the detection of collisions between agents. To reduce the computational intensity, I have developed efficient algorithms for identifying contacts between agents. Finally, I have tested SimAID using metrics like the basic reproductive number, herd immunity, and doubling time to give an insight into the impact of a disease on the population. SimAID’s design is extensible enough for it to be integrated with other data modules like GPS data for contact tracing, census data for demographic profiles, etc. in the future. I plan to make SimAID an open-source project so that researchers can play around with viral profiles having different incubation periods, infectivity, and mortality rates, leading to better insights into pandemic progression curves. I hope SimAID will help policy-makers be better prepared for a world where the opening of Pandora’s box may no longer be just a myth.
- SMART: Stroke Monitoring And Rehabilitation using Technology: Stroke experts say it is crucial to develop innovative, technology-driven strategies to meet the growing needs of stroke survivors in India. SMART is a comprehensive solution for stroke care comprising of - 1. SMART EEG headset and 2. SMART app having diagnostic and rehabilitation tools. I have developed the SMART EEG headset - a wearable EEG device costing less than ₹7,000 (US$100), several times cheaper than commercial EEG devices. It consists of 1. An ergonomic 3-D printed headset., 2. A signal processing module using a low-cost Arduino board and EEG Click (an IC to amplify and filter bio-signals). The EEG signals from the headset are analyzed using Fourier transforms (FFT) for classification into alpha, beta, and theta waves in the SMART app. The SMART app developed using Android SDK in Java has two key modules - 1. Stroke Diagnostics and 2.Rehabilitation. The diagnosis module uses EEG to calculate DAR levels and identify stroke patients and the rehabilitation module has an interactive game based on EEG neurofeedback training to help stroke patients improve their alpha brainwave activity and aid recovery. In order to test the reliability of the SMART EEG headset, I conducted experiments. Each experiment tested a particular stage of the EEG data acquisition process, namely: collecting the raw EEG data, calculating the frequency spectrum and lastly detecting changes in the brainwave state. I believe SMART could radically improve the delivery of medical care to stroke patients as it is low-cost and easily-accessible, and it empowers the stroke patient to recover at home with minimal medical assistance.
- DriveSafe: A smartphone app to monitor reckless driving behaviors: What is the problem?- Road accidents killed 13.5 lakh people globally in 2018. They are the single largest cause of death for those in the age group of 15-45. Reckless driving is responsible for 90% of road deaths. In order to make our roads safer, a cost-effective and accessible method is needed to monitor and track reckless driving. My solution- I have developed an Android smartphone application, DriveSafe, which detects reckless driving behaviours in real-time. Steps for development- I identified the major reckless driving behaviours. These are: a. Overspeeding b. Sudden braking c. Sudden acceleration d. Sharp turning I developed an app which detects the above behaviours. In this app: a. Accelerometer sensor is used to measure acceleration in 3D space. Haversine formula is applied to calculate distances and speed from GPS coordinates. b. The data collected is stored in a csv file for later analysis. c. The user interface was integrated with Google Maps API to provide the user with an interactive experience. The app was run on Bangalore roads over 2 months. The acceleration in all 3 axes, the speed, the time and the location of the vehicle was recorded every second. Using the data, I set appropriate thresholds for the rash driving behaviours. DriveSafe can be used to monitor reckless driving behaviours with a high accuracy and improve road safety by individuals, fleet operators, insurance companies, and traffic police.
Contact
Education
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2018 2023
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2014 2018
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2011 2014
Global Indian International School East Coast, Singapore
High School Diploma