Ashutosh Roy

Ashutosh Roy

MTech in Control Systems

Data Scientist, Business Analytics, Cloud Application Development

Ashutosh Roy has an MTech in Control Systems from IIEST Shibpur. He holds a keen interest in the field of smart instrumentation and has actively participated in the International Conferences on Smart Instrumentation. During his academic journey, Ashutosh undertook a significant research project focused on smart nonlinear controller design. His work involved utilizing advanced techniques such as backstepping and adaptive neural networks. By combining these methods, he aimed to develop intelligent control systems capable of efficiently adapting to non-linear dynamics.  

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Currently residing in Kolkata, India, Ashutosh is working with a startup where he is actively involved in the field of data science. His primary responsibilities include exploring and developing various products utilizing machine learning and artificial intelligence. This role allows him to leverage his expertise in data science and apply it to real-world scenarios, contributing to the development of innovative solutions.

Outside of his professional pursuits, Ashutosh has a passion for traveling and exploring new cultures. He finds joy in immersing himself in different environments and experiencing diverse cuisines. Additionally, he has a strong affinity for music and frequently attends live gigs when possible. He is also an avid sports enthusiast with a particular love for football and golf. He actively engages in running and walking to maintain an active and healthy lifestyle. With a curious and adventurous spirit, Ashutosh constantly seeks new opportunities for personal and intellectual growth.

 
 

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Articles from Ashutosh

What is Supervised Machine Learning?

What is Supervised Machine Learning?

What are Support Vector Machines?

What are Support Vector Machines?

Deep Learning: Unraveling the AI Revolution

Deep Learning: Unraveling the AI Revolution

What is an Adam Optimizer?

What is an Adam Optimizer?

Video-FocalNets: Combining CNNs and ViTs for Efficient Video Action Recognition

Video-FocalNets: Combining CNNs and ViTs for Efficient Video Action Recognition

Riding the Storm: Machine Learning Unveils Climate Change's Impact on New York/New Jersey Coastlines

Riding the Storm: Machine Learning Unveils Climate Change's Impact on New York/New Jersey Coastlines

Unleashing LLMs in Medicine: Enhancing Medical Question Answering through Instruction Prompt Tuning

Unleashing LLMs in Medicine: Enhancing Medical Question Answering through Instruction Prompt Tuning

Unveiling the Dynamic Face: Exploring 4D Facial Analysis for Revolutionary Insights

Unveiling the Dynamic Face: Exploring 4D Facial Analysis for Revolutionary Insights

Revolutionizing Smart Transportation: Enhancing Incident Detection and Traffic Management with Hybrid Deep Learning

Revolutionizing Smart Transportation: Enhancing Incident Detection and Traffic Management with Hybrid Deep Learning

SNRNN: Unleashing the Power of Ensemble Learning for Accurate Earthquake Detection

SNRNN: Unleashing the Power of Ensemble Learning for Accurate Earthquake Detection

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