Faculty Directory
ARINDAM CHAKRABORTY
Academic Information
M. Tech., Jadavpur University
Research Areas
Research Interests
My research interests span solid-state lighting, embedded systems, and intelligent sensing technologies. A major focus is on high-power phosphor-converted white LEDs (pcLEDs), including junction-temperature measurement, lumen maintenance, degradation analysis, and useful-life prediction under tropical operating conditions. I am actively engaged in LM-79/LM-80 compliant testing, accelerated aging, and reliability modeling, with growing emphasis on machine-learning-based prognostics. My broader interests include IoT-enabled healthcare and assistive devices, smart energy systems, image processing, computer vision, and deep-learning applications for diagnostics, monitoring, and smart automation, as reflected in my interdisciplinary publications.
Courses Taught
Digital Signal Processing, Microprocessor and Microcontroller, Computer Architecture, Digital IC Design, Processor Architecture
Positions Held
Academia (Current):
Faculty Member (Teaching & Research), Institute of Engineering and Management (IEM), Kolkata
Areas: Solid-State Lighting, Embedded Systems, IoT, Image Processing, AI/ML applications
Consulting / Industry Experience :
Academic–Industry Collaborative Research and Project Mentoring in LED Lighting Systems, IoT-based smart devices, and applied machine-learning solutions.
Technical guidance and supervision of industry-oriented student projects in smart healthcare, energy-efficient lighting, and intelligent sensing systems
Faculty Member (Teaching & Research), Institute of Engineering and Management (IEM), Kolkata
Areas: Solid-State Lighting, Embedded Systems, IoT, Image Processing, AI/ML applications
Consulting / Industry Experience :
Academic–Industry Collaborative Research and Project Mentoring in LED Lighting Systems, IoT-based smart devices, and applied machine-learning solutions.
Technical guidance and supervision of industry-oriented student projects in smart healthcare, energy-efficient lighting, and intelligent sensing systems
Publications
1. Predicting lumen maintenance of phosphor-converted light emitting diodes in Indian tropical conditions using machine learning, Journal of Optics, 2025.
2. Non-invasive junction temperature measurement using forward voltage drop of high-power pcLED under tropical conditions, Proc. ICEME, 2025.
3. DroneMag: A novel approach using drone technology for detection of magnetic metal, Proc. ICEME, 2023.
4. Study and implementation of white power-LED based indoor lighting application for the healthcare sector, Advances in Optical Science and Engineering, 2015.
5. Comparative experimental study on ‘useful life’ of standard and commercially available AC and DC white pcLED bulbs under tropical condition, Proc. IAME, 2017.
6. Comparative studies on performance of commercially available high-power pcLED bulbs under tropical conditions, Energy and Environment, ICWEES-2016.
7. Image quality assessment for performance evaluation of despeckle filters in optical coherence tomography of human skin, IEEE EMBS Conference, 2010.
8. Visual importance pooling for image quality assessment of despeckle filters in optical coherence tomography, International Conference on Systems in Medicine and Biology, 2010.
9. Convolutional neural network based face detection, International Conference on Electronics, Materials Engineering, 2017.
10. Low-cost IoT-based smart wheelchair for type-2 diabetes and spine-disorder patients, Applications of Artificial Intelligence in Engineering, 2021.