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My main interests for research and work are Machine Learning and Artificial Intelligence, but industrial expertise lie in Embedded Systems Software design and development.
The goal has always been to achieve a professional level of knowledge and understanding of my field that will help aid in the creation of outstanding systems.
Favourite computer scientists are Alan Turing and Dennis Ritchie.
Secured 1st Prize among 48 schools with around 500 participants at Ganit (Mathematics) contest conducted of Rotary Club of Belgaum. Was awarded with the title of "Best mathematician of belgaum, 2013".
Wrote a simulation program for A* (A-Star) Algorithm and got selected for Google I/O Student Ambassador Program.
Wrote a hearing test software for online test of hearing ailments, this project is a solution project written during the 36 hour Hackathon conducted by LEAD Prayana hosted by Deshpande Foundations.
Have been Analytics India Magazine(AIM) student ambassador.
Cleared Codevita contest hosted by Tata Consultancy Services(TCS) and competed at the final round held at Bangalore.
Hackathon and Brainstorming at Birla Institute of Technology and Science, Goa, was awared with an internship at iO Genesys, Inc Oaklahoma, U.S.A. I Presented the idea and working project of video detection algorithm that was mounted on Raspberry-Pi board with live camera feed. The program was connected with a speaker that spoke the object name that the algorithm detected, This was a solution application to aid the blind, while walking in public.
Moved to California, United States to pursue my Masters Degree in Computer Science from California State University, Fullerton.
Selected as Indian Representative at CSUF Hall of Fame
Graduated Master in Science in Computer Science with Summa Cum Laude
View the published paper
Mainly all the hype in the field of Machine Learning and Neural Networks has led the students of this decade to learn and research in this field, and the primary issue faced by lot of students and researchers is the availability of proper infrastructure.
Google Colaboratory or simply colabs is a web-tool from Google that gives access to free GPUs and CPUs to aid in research and development of high performance computing programs.
This research paper talks about a method to mitigate the limitations concerning such free servers and utilize them to the fullest.
Samarth V. Halyal, "Running Google Colaboratory as a server – transferring dynamic data in and out of colabs", International Journal of Education and Management Engineering(IJEME), Vol.9, No.6, pp.35-39, 2019.DOI: 10.5815/ijeme.2019.06.04Content to be updated.
View the published paper
During the years 1962 – 1963 Camargue, South France saw an outbreak of mosquito-borne disease. Later in 1996, an epidemic occurred over the entire Europe during which countries like Romania identified about 400 cases. This disease which was causing fever and other related symptoms was named West Nile Virus (WNV). The virus is now found throughout the world across the continental United States, Europe, Africa, The Middle East, and west Asia.
In this paper, we will be discussing the spread of WNV and its future trajectory based on the temperature and climate of regions. We will show how intervention strategies will change the graph of the model.
View the published paper
Although Space Exploration seems like to be technologically initiated in 19th Century, the actual ground work was layed from the times of Aristotle and Socrates. As it was once an fiction story for many, the 19th Century made space travel a reality and with it began many Ethical ideas.
In this paper I discuss the ethical issues of space exploration that affects humans as well as the universe as we know it. Because we cannot use the same ethical thinking in space that we use here on earth. I also propose some methods on how to tackle these issue by modifying the rules and laws that we have here on earth.
View the published paper
In the ongoing battle against global pandemics, understanding the key determinants that fuel outbreaks are of paramount importance. With this focus, our study aims to assess and rank the predictive capabilities of a wide range of socio-economic, eco-climatic, and spatiotemporal variables in predicting Lassa Fever (LF) outbreaks, using data from previous Nigerian outbreaks (2012-2019). Employing machine learning methods, particularly XGBoost and Random Forest, our study aims to offer accurate and robust predictions concerning LF incidence rates. As a crucial add-on, we leverage the innovative SHAP (SHapley Additive exPlanations) technique as a postprocessing tool to dissect and better understand the contributions of individual features towards the predictions generated by our machine learning models.
Daniel A. Quezada, Sampson Akwafuo, Samarth Halyal, Harnessing Machine Learning for Predictive Analytics: A Case Study of Lassa Fever Outbreaks in Nigeria. Valetta, Malta: IEEE CoDIT 2024, 2024.
Researched on the Self-Driving-Car concept
Worked on different ways of path-finding for the self driving car based on the works done by Harrison Kinsley. Tried different activation functions for the Alex-net and methods to mask the environment
Worked on the Compiler concepts
Created a small compiler that can be found on my Github. This compiler could only do minimal parsing of strings and generate the intermediate code
Researched on the A* Algorithm concept
Created a simulation program to do the path finding. Part of Google I/O Student Ambassador Program
Researched on the Server Management
During my final year project there was an issue happening with Google Colaboratory. The data was getting refreshed and omitted every 12hr. My research resulted in a sequential way to eradicate this behaviour, keeping the data for use forever within reach. More on this can be found in my paper publication on the Publications page
Researched on the VxWorks Real-Time Operating System
Content to be updated
Researched on the West Nile Virus Disease
Area of research included mathematical modelling and prediction of disease in new endemic areas around the globe. Modelling the disease involved designing Agent Based Models using Mesa for python, mathematical modelling involved using SIR model and related equations for disease spread. This included interactions within vector(Mosquitos), Host(Humans, Birds) and Environment. Prediction of future trajector was done using Logistic Regression.
More on this can be found in my paper publication on the Publications page
Researched on the Ethics Related to Space Technology and Colonization
Discussed and researched about ethical theories revolving around human development involving Space Exploration. I discuss about the morality that should follow along with decisions made by technologically advanced countries in space. I also discuss about how underdeveloped and developing countries shall be influenced and impacted overall.
More on this can be found in my paper publication on the Publications page
Researched on the Behaviour of different algorithms in early detection of Lassa Fever
Lassa Fever (LF) is a viral hemorrhagic fever prevalent in numerous regions of West Africa, with Nigeria being a particularly prominent area of endemicity. Lassa mammarenavirus (LASV) is the etiological agent responsible for LF and poses a significant threat to both human and animal populations
In this research, we studied the behaviour of different algorithms names Random Forest Regressors and XGBoost in early detection of lassa fever. We also did a SHAP analysis on the Nigerian CDC Dataset to extract various features responsible for better prediction of the disease.