Dr.Parthasarathi De
NARULA INSTITUTE OF TECHNOLOGY, Sister Nivedita University, National Institute of Technology
About
Dr. Parthasarathi De is an esteemed academician and researcher, currently serving as an Associate Professor at Narula Institute of Technology, Kolkata. With 17 years of experience in academia and teaching, along with 5 years in the industry, he brings a wealth of knowledge to his field. His expertise lies in Computer Vision, Digital Image Processing, and Pattern Recognition.
Dr. De has authored numerous SCI and SCOPUS-indexed research papers in reputed international journals and holds several patents and inventions in the field of Computer Science. His unwavering passion for technology education and research continues to inspire students and contribute to academic excellence.
Employment
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NARULA INSTITUTE OF TECHNOLOGY ASSOCIATE PROFESSOR CSE-AIML2025 - Present
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Sister Nivedita University Associate Professor2024 - 2025
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National Institute of Technology Assistant professor2013 - 2021
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (34)
- Regulated Delivery of Liquid Medical Oxygen Based on Instantaneous Body Parameters Using Proposed Decision Tree Regressor and Data Proliferation Using the CTGAN Model with SDV Data Synthesizer Save
- Three-Stream Feature-Level Fusion Based Multimodal Emotion Recognition from Vocal and Facial Expressions for Human-Computer Interaction Save
- Classification of Various Iris Patterns of Amphibians Using Geometric and Color Features Save
- Recognition of the Hornbill Eye’s Iris Using Bit Plane Processing, Un-sharp Masking and High Boost Filtering Save
- Evaluation and Assessment of Teaching Quality and Students’ Performance using Machine Learning Save
- Advanced Image Dehazing Techniques for Enhanced Text Extraction from Vehicle Number Plates for Traffic Monitoring System Save
- Image Dehazing using AHE with Noise Removal using CLAHE and Postprocessing using Gamma Correction Save
- Real-time fast low-light vision enhancement for driver during driving at night Save
- Real Time Vision Based Overtaking Assistance System for Drivers at Night on Two-Lane Single Carriageway Save
- Real-Time Facial Emotion Recognition Save