Arpan Maity, M.Tech.
Arpan Maity, M.Tech.
Research Overview: Arpan Maity obtained his B.Tech. in Computer Science and Engineering from Adamas University, Kolkata, India. He is currently pursuing an M.Tech. in Data Science and Digital Transformation at the same university with a CGPA of 9.61. His research interests primarily focus on Computer Vision in Healthcare, including medical image segmentation using architectures such as UNet and ASPP, and object detection models like YOLO integrated with GhostNet. He also works with Transformer-based architectures for text processing and has research experience with Variational Autoencoder (VAE) models, contributing to several papers in these domains. His work spans surface anomaly detection, oral disease classification, nail disease diagnosis, sarcasm detection in code-mixed content, and palm line segmentation. He has published in reputed journals and conferences, including the IAENG International Journal of Computer Science and multiple IEEE conferences.
Core areas and application domains
UNet, ASPP, and palm line segmentation using advanced deep learning architectures.
Vision Transformer (ViT), BERT-based models for medical diagnostics and text processing.
YOLOv5 with GhostNet, K-Means++ optimization for surface defect detection.
Oral disease classification, nail disease diagnosis, and medical image analysis.
Attention-enhanced VAE for unified reconstruction and classification on medical datasets.
CNN and hybrid swarm-optimized XGBoost for metal planar material inspection.
Multimodal sarcasm detection in code-mixed Hindi-English content using mBERT.
Transfer learning for plant disease detection and precision farming applications.
Real-time inference optimization on Raspberry Pi and embedded systems.
Highlights and updates
Paper title "VARC-UNet: A Variational Attention Framework with Content-Aware Upsampling for Nicotine Stain Image" Accepted for Oral Presentation at the 40th Indian Engineering Congress (IEC).
Paper on "Hybrid AI Model Combining K-Means++ and YOLOv5 for Surface Anomaly Detection" accepted in IAENG International Journal of Computer Science (2025).
Four conference papers accepted for presentation at IEEE SISIMPACT 2025, ICTE 2025, RCICN 2025, and ICDMAI 2025.
Successfully presented paper at 2nd International Conference on Data Driven AI (ICDDA 2025) at Kaziranga University and received Certificate of Appreciation.
Appointed as Adjunct Lecturer at Department of Computer Science and Engineering, Adamas University (November 2024 - July 2025).
Awards and distinctions