Samiddha Chakrabarti
Durgapur Institute of Advanced Technology and Management, Alamuri Ratnamala Institute of Engineering and Technology, Narula Institute of Technology, Abacus Institute of Engineering and Management
About
Currently working as an Assistant Professor with a strong commitment to academic, teaching, research, and applied computing. Expertise spans core areas of Computer Science, including programming languages, software development frameworks, and modern IT tools. I view teaching as a catalyst for intellectual growth, focusing not only on knowledge delivery but also on inspiring meaningful change through education.
My research interests lie primarily in Perception AI. I have more than two year of teaching experience, and have research publications on the field of Digital Image Processing and Computer Vision in Scopus and SCI indexed peer reviewed journals. The objective of my research works is to develop computationally efficient and theoretically grounded models that address real-world problems. I also serve as a peer reviewer for a Scopus-indexed Springer Nature journal and international conference. Alongside my academic and research work, I possess practical technical skills, including the development and design of websites, RESTful APIs, browser extensions, and Python packages.
Employment
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Durgapur Institute of Advanced Technology and Management Assistant Professor2024 - Present
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Alamuri Ratnamala Institute of Engineering and Technology Assistant Professor2024 - 2024
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DrPashu Technologies Back-end Developer (Remote)2023 - 2024
Education
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Narula Institute of Technology Master of Technology2022 - 2024
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Abacus Institute of Engineering and Management Bachelor of Technology2017 - 2021
Projects & Funding
Projects & funding information is unavailable.
Publications (3)
- 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