Faculty Management System

Academic Information

Nilanjan Chatterjee Byabarta has completed a Ph.D. in Engineering, with a research focus on sensor linearization, thermocouple signal conditioning, and intelligent data-driven modeling techniques. He holds a Master’s degree in Engineering/Technology in a relevant discipline, where he developed a strong foundation in electronics, instrumentation, and computational methods. He completed his Bachelor’s degree in Engineering with specialization in a core technical field, building expertise in system design and analysis. His academic background integrates theoretical knowledge with practical implementation, particularly in machine learning applications for sensor accuracy enhancement and real-time systems.

Research Areas

Sensor Linearization Thermocouple Linearization Intelligent Instrumentation Machine Learning Applications in Sensors Signal Conditioning and Calibration Embedded Systems and IoT Data-Driven Modeling Artificial Neural Networks Physics-Informed Neural Networks Real-Time Monitoring Systems Industrial Automation Smart Sensing Technologies

Research Interests

Nilanjan Chatterjee’s research interests focus on advanced sensor linearization techniques with emphasis on thermocouple and thermistor systems for accurate temperature measurement. His work integrates machine learning approaches, including artificial neural networks and physics-informed models, to enhance precision, adaptability, and real-time performance. He is interested in intelligent instrumentation, signal conditioning, and data-driven calibration methods for nonlinear sensors. His research also explores IoT-enabled smart sensing, embedded systems, and real-time monitoring for industrial and biomedical applications. Additionally, he investigates hybrid modeling frameworks combining analytical and computational methods to improve robustness, efficiency, and scalability in modern sensing and automation systems.

Courses Taught

Database Management Systems (DBMS), Digital Electronics, Analog Electronics, Signals and Systems, Operating Systems, Embedded Systems, Cybersecurity, Data Structures and Algorithms, Microprocessors and Microcontrollers, Computer Networks

Positions Held

Head of The Department CSE(Data Science)

Publications

- Adaptive sensor linearization : A hybrid approach utilizing polynomial, spline, RBF and deep neural network methodsJournal of Statistics and Management Systems
  
  2026 | journal-article
  DOI: 10.47974/jsms-1526
  
  Part of ISSN: 0972-0510
  
  Part of ISSN: 2169-0014
  Source:Nilanjan Chatterjee Byabarta
- A Novel Thermocouple Linearizer based on Adaptive Moment Estimation Algorithm and Artificial Neural NetworksIETE Journal of Research
  
  2025-10-16 | journal-article
  DOI: 10.1080/03772063.2025.2561077
  
  Part of ISSN: 0377-2063
  
  Part of ISSN: 0974-780X
  Source:Nilanjan Chatterjee Byabarta
- Overcoming Thermocouple Non-linearity: A Novel Algorithmic Framework for Improved Temperature SensingJournal of The Institution of Engineers (India): Series B
  
  2025-04 | journal-article
  DOI: 10.1007/s40031-024-01116-w
  Source:Crossref
- Improved IoT Network Real-Time Anomaly Detection: A Machine Learning Approach to Boosting Security and PerformanceLecture Notes in Networks and Systems
  
  2025 | book-chapter
  DOI: 10.1007/978-981-96-5822-0_6
  
  Part of ISBN: 9789819658213
  
  Part of ISBN: 9789819658220
  
  Part of ISSN: 2367-3370
  
  Part of ISSN: 2367-3389
  Source:Nilanjan Chatterjee Byabarta
- Trajectory-based linearization of nonlinear dynamical systems : A novel approach for improved accuracy and applicability in advanced applicationsJournal of Information and Optimization Sciences
  
  2025 | journal-article
  DOI: 10.47974/jios-1952
  
  Part of ISSN: 0252-2667
  
  Part of ISSN: 2169-0103
  Source:Nilanjan Chatterjee Byabarta
- Radial Basis Function Method for Linearization of Thermocouple Data: An Efficient and Accurate ApproachJournal of The Institution of Engineers (India): Series B
  
  2024-02 | journal-article
  DOI: 10.1007/s40031-023-00957-1
  Source:Crossref
- Radial Basis Function Method for Linearization of Thermocouple Data: An Efficient and Accurate Approach2023 8th International Conference on Computers and Devices for Communication (CODEC)
  
  2023-12-14 | conference-paper
  DOI: 10.1109/codec60112.2023.10465852
  Source:Nilanjan Chatterjee Byabarta
- LINEARIZATION TECHNIQUES OF SENSOR: A COMPARATIVE STUDYJOURNAL OF MECHANICS OF CONTINUA AND MATHEMATICAL SCIENCES
  
  2022-09-30 | journal-article
  DOI: 10.26782/jmcms.2022.09.00002
  
  Part of ISSN: 0973-8975
  
  Part of ISSN: 2454-7190
  Source:Nilanjan Chatterjee Byabarta
- Comparative study of different techniques to design ultra wideband antenna in cognitive radio2017 4th International Conference on Opto-Electronics and Applied Optics (Optronix)
  
  2017-11 | conference-paper
  DOI: 10.1109/optronix.2017.8350003
  Source:Nilanjan Chatterjee Byabarta
- Performance optimization of a soft and hard detector in cognitive radio environment using WARP2017 4th International Conference on Opto-Electronics and Applied Optics (Optronix)
  
  2017-11 | conference-paper
  DOI: 10.1109/optronix.2017.8349969
  Source:Nilanjan Chatterjee Byabarta
- Realization of different diversity technique for mimo based mobile ad-hoc network using space time block codesINTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY
  
  2013-03-27 | journal-article
  DOI: 10.24297/ijct.v4i2a2.3175
  
  Part of ISSN: 2277-3061
  Source:Nilanjan Chatterjee Byabarta

Dr. Nilanjan Chatterjee

Academic Information

Research Areas

Research Interests

Courses Taught

Positions Held

Publications

Adaptive sensor linearization : A hybrid approach utilizing polynomial, spline, RBF and deep neural network methodsJournal of Statistics and Management Systems

A Novel Thermocouple Linearizer based on Adaptive Moment Estimation Algorithm and Artificial Neural NetworksIETE Journal of Research

Overcoming Thermocouple Non-linearity: A Novel Algorithmic Framework for Improved Temperature SensingJournal of The Institution of Engineers (India): Series B

Improved IoT Network Real-Time Anomaly Detection: A Machine Learning Approach to Boosting Security and PerformanceLecture Notes in Networks and Systems

Trajectory-based linearization of nonlinear dynamical systems : A novel approach for improved accuracy and applicability in advanced applicationsJournal of Information and Optimization Sciences

Radial Basis Function Method for Linearization of Thermocouple Data: An Efficient and Accurate ApproachJournal of The Institution of Engineers (India): Series B

Radial Basis Function Method for Linearization of Thermocouple Data: An Efficient and Accurate Approach2023 8th International Conference on Computers and Devices for Communication (CODEC)

LINEARIZATION TECHNIQUES OF SENSOR: A COMPARATIVE STUDYJOURNAL OF MECHANICS OF CONTINUA AND MATHEMATICAL SCIENCES

Comparative study of different techniques to design ultra wideband antenna in cognitive radio2017 4th International Conference on Opto-Electronics and Applied Optics (Optronix)

Performance optimization of a soft and hard detector in cognitive radio environment using WARP2017 4th International Conference on Opto-Electronics and Applied Optics (Optronix)

Realization of different diversity technique for mimo based mobile ad-hoc network using space time block codesINTERNATIONAL JOURNAL OF COMPUTERS &amp; TECHNOLOGY

Realization of different diversity technique for mimo based mobile ad-hoc network using space time block codesINTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY