Sambandh Dhal
Idaho National Labs | PhD, Computer Engineering, TAMU (2024)
- Role
- Artificial Intelligence - Augmented Sorting Postdoctoral Research Fellow (Energy Innovation Lab) at Idaho National Laboratory
- Location
- Idaho Falls, ID, US
- LinkedIn followers
- 500 followers
About Sambandh Dhal
I currently work as a Post-Doctoral Associate (Artificial Intelligence - Augmented Sorting) at the Analytical Chemistry - Energy, Systems and Environment Group (Biomass Characterization Laboratory)in Idaho National Laboratory, where the main focus of my research is to detect Rare Earth Elements in e-waste. Some of the other projects also focus on using AI in problems related to food safety and security.Throughout my PhD journey, spanning 10 semesters, I served as a Graduate Assistant Lecturer at Texas A&M University\'s Department of Electrical and Computer Engineering. In this role, I guided and supported senior capstone design endeavors encompassing microcontroller programming, database management, web development, and PCB design. My doctoral research primarily revolved around formulating error estimation methods tailored for small and sparse datasets. Beyond this, my academic pursuits extend to areas such as deep learning, reinforcement learning, computer vision, natural language processing, and big data analytics.Previously, I worked as a Statistical Researcher at Bayer, where I applied various machine learning techniques to analyze soil environmental clusters and their impact on crop yield. I used clustering, dimensionality reduction, feature selection, and regression methods to identify the important soil parameters and the interactions between soil clusters and treatments. I also gave statistical recommendations based on the results. Additionally, I have multiple certifications and publications in the fields of electronics, computer, and data science. I have strong skills in Python, R, C, C++, MATLAB, AWS, Keras, TensorFlow, Pytorch, Scikit-learn, and other programming and ML packages.
Experience
Artificial Intelligence - Augmented Sorting Postdoctoral Research Fellow (Energy Innovation Lab)
May 2024 — Present · Idaho Falls, ID, US
Education
Texas A&M University
Master of Science - MS, Electrical Engineering (Information Sciences and Systems)
Siksha 'O' Anusandhan University
Bachelor of Technology - BTech, Electrical, Electronics and Communications Engineering
Texas A&M University
Doctor of Philosophy - PhD, Computer Engineering
Skills
- Artificial Neural Networks
- Artificial Intelligence
- Public Speaking
- Leadership
- Mems
- C
- Data Min
- Powerpoint
- Microsoft Excel
- Python
- Very-Large-Scale Integration (Vlsi)
- Java
- Microsoft Word
- C
- Data Analysis
- Machine Learning
- R
- Embedded Systems
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