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.

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

Breaking Barriers: ECG and Machine Learning Revolutionize Early Autism Detection

Researchers have made groundbreaking progress in early autism detection by harnessing electrocardiogram (ECG) recordings as biomarkers. Using machine learning algorithms, they successfully predicted autism likelihood in infants as young as 3–6 months, offering new possibilities for earlier diagnosis and intervention strategies that can significantly improve the lives of individuals with autism spectrum disorder (ASD).

13 Jul 2023

Unleashing the Power of Remotely Sensed Big Data: Transforming Archaeological Research with Google Earth Engine

Researchers explore the game-changing capabilities of Google Earth Engine (GEE) in revolutionizing archaeological research. By bridging the gap between remotely sensed big data (RSBD) and archaeological analysis, GEE overcomes challenges related to data access, computational resources, and methodological awareness.

12 Jul 2023

Smart Seas: Revolutionizing Aquaculture with AIoT and Digital Twin-Based Intelligent Fish Farming

The integration of AIoT and digital twin technology in aquaculture holds the key to revolutionizing fish farming. By combining real-time data collection, cloud computing, and AI functionalities, intelligent fish farming systems enable remote monitoring, precise fish health assessment, optimized feeding strategies, and enhanced productivity. This integration presents significant implications for the industry, paving the way for sustainable practices and improved food security.

11 Jul 2023

Navigating the Ethical Frontier: Regulating Large Language Models in Healthcare

This article delves into the legal and ethical complexities surrounding the integration of large language models (LLMs) like ChatGPT and Bard in medical practice. Examining aspects such as privacy, device regulation, competition, intellectual property, cybersecurity, and liability, the paper highlights the need for robust regulatory frameworks to guide the responsible use of LLMs while promoting patient well-being, privacy protection, and a competitive healthcare landscape.

10 Jul 2023

AI-Powered Solutions: Transforming Food Waste into a Circular Economy

The integration of artificial intelligence (AI) is transforming the battle against food waste and propelling the transition towards a circular economy. By leveraging AI technologies, such as advanced analytics and machine learning, various applications are being developed to optimize food manufacturing, distribution networks, and waste management processes. These AI-driven solutions enhance decision-making, enable efficient resource utilization, and support recycling and upcycling initiatives.

9 Jul 2023

Unleashing the Power of AI: Exploring its Role in Physics Education and Embracing Human Expertise

By delving into the capabilities and limitations of AI language models like ChatGPT in physics education, this comprehensive overview emphasizes the need for a balanced approach that combines AI's potential with the indispensable role of human educators. The article highlights effective assessment strategies, ethical considerations, and the importance of preparing students for an AI-driven future while nurturing critical thinking and problem-solving skills.

9 Jul 2023

ChatGPT: Revolutionizing Business Decisions with AI-Powered Insights

The study explores the potential applications of ChatGPT in business decision-making scenarios, demonstrating its ability to provide comprehensive overviews of subjects. While ChatGPT's responses offer straightforward information, caution should be exercised when relying solely on its responses for complex business decisions. It can be a valuable tool for decision-making professionals looking to enhance productivity and allocate time for other pursuits.

6 Jul 2023

LyricWhiz: Unleashing Multilingual ALT with Whisper and ChatGPT

The study introduces LyricWhiz, an automatic lyrics transcription system that combines the Whisper ASR system with the GPT-4 language model to achieve accurate transcription of lyrics in multiple languages. LyricWhiz outperforms existing methodologies, reduces word error rate (WER), and creates a comprehensive dataset of publicly accessible lyrics transcriptions.

6 Jul 2023

Creating 3D Models of Historic Urban Neighborhoods Using Machine Learning

This research paper discusses a scalable workflow that uses machine learning techniques to extract building footprints and associated properties from Sanborn Fire Insurance maps, which contain detailed information about buildings in American cities dating back to the late 19th century. The extracted data can be used to create 3D models of historic urban neighborhoods and provide insights into urban transformations, particularly in relation to the impact of highway construction and urban renewal.

5 Jul 2023

Redefining Sport Management Education Using Artificial Intelligence Through ChatGPT

Study examines the implementation of ChatGPT, an AI chatbot, in sport management education. The findings suggest that ChatGPT can generate comprehensive and accurate responses to sport management inquiries, highlighting its potential to enhance teaching and learning in the field.