Mr. Swarnajit Bhattacharya is an emerging researcher and engineering professional with interdisciplinary expertise spanning Internet of Things (IoT), embedded systems, machine learning, data analytics, renewable energy forecasting, cybersecurity, and smart monitoring systems. His professional journey combines academic research, industrial training, internships, and project development, reflecting a strong orientation toward practical and technology-driven innovation.

He has gained research and industry exposure through organizations including SunKonnect Pte. Ltd., Indian Oil Petronas Pvt. Ltd., Indian Institute of Chemical Engineers, and Pantech ProLabs India Pvt. Ltd. His research internship at SunKonnect in Singapore involved PV power generation prediction, machine-learning-based predictive analytics, dashboard development, data visualization, and real-time energy monitoring.

Research & Technical Expertise

Mr. Bhattacharya has developed practical expertise in IoT architecture, embedded systems, cloud-based IoT platforms, machine learning, data analytics, renewable-energy applications, sensor networks, cybersecurity, and intelligent monitoring systems. His technical training includes STM32, ARM and 8051 architectures, PCB design, Arduino, Raspberry Pi, AWS IoT, ThingSpeak, MATLAB, AWS Lambda, IoT Analytics, and cloud-based data visualization.

His project work includes an IoT-based Smart Pisciculture Monitoring and Management System, an IoT-based Smart Air Health Monitoring and Analyzer System, and an IoT-based Smart Soil Health Management System with Remote Monitoring and Control.

Research Contributions & Publications

Mr. Bhattacharya has contributed to research covering several contemporary areas of engineering and computing. His publication portfolio includes journal articles, a book chapter, and a preprint, with research addressing:

• Zero Trust Architecture in IoT-enabled Wireless Sensor Networks and blockchain-based security
• Decentralized swarm-aware IoT protocols for real-time crop quality prediction
• Machine-learning-based detection of DDoS attacks in Software-Defined Networks
• LoRaWAN-based water-quality monitoring for sustainable aquaculture
• Predictive health assessment of lead-acid batteries using solar irradiance and environmental factors
• Edge intelligence and AI prototyping using Arduino UNO Q and Qualcomm AI technology
• AI-based speech-recognition models
• Machine-learning approaches for detecting fake product reviews
• IoT-based smart soil-health management

His recent research demonstrates a growing focus on AI-enabled IoT, intelligent automation, cybersecurity, smart agriculture, sustainable energy, and edge computing.

Research & Industrial Experience

Through his internship and project experiences, Mr. Bhattacharya has developed the ability to connect theoretical engineering concepts with real-world applications. His work at SunKonnect strengthened his capabilities in solar-energy data analysis and predictive modelling, while his industrial training at Indian Oil Petronas provided exposure to industrial operations, safety standards, gas distribution, quality control, and process optimization.

His research and engineering assignments have further developed his skills in designing and implementing sensor-based monitoring systems, embedded applications, cloud-connected IoT solutions, and intelligent data-analysis platforms.

Peer Review & Academic Engagement

Mr. Bhattacharya has also contributed to the academic research community as a peer reviewer, completing 16 reviews across 8 publications/grants for journals and publications associated with areas such as artificial intelligence, expert systems, communication systems, computer science, and engineering. This reflects his engagement with contemporary scholarly research beyond his own publications.

Key Strengths

• IoT and Wireless Sensor Networks
• Machine Learning and Predictive Analytics
• Embedded Systems and Microcontrollers
• Renewable Energy and Solar-Power Forecasting
• Smart Agriculture and Aquaculture
• Cybersecurity and Zero Trust Architecture
• Edge AI and Cloud Computing
• Data Analytics and Dashboard Development
• Industrial Automation and Monitoring
• Research Project Development and Technical Innovation

Eligibility for Young Researcher Award 

Mr. Swarnajit Bhattacharya is eligible for the Young Researcher Award in Scientific Laurels. His eligibility is supported by his emerging research profile, multidisciplinary technical expertise, practical engineering experience, and growing body of scholarly publications. His research addresses relevant and innovative areas such as IoT, AI/ML, cybersecurity, smart agriculture, renewable energy, embedded systems, and sustainable technology.

His combination of research publications, peer-review contributions, technical projects, industrial exposure, and interdisciplinary innovation demonstrates strong potential as an emerging researcher and makes him a suitable candidate for recognition under the Young Researcher Award category.