Dr. Archana Sasi

About

Dr. Archana Sasi received her B.Tech and M.Tech in Computer Science and Engineering and Computer and Information Science from College of Engineering Cherthala in 2012 and 2014 respectively. She received her Ph.D. degree in Computer Science Engineering from Presidency University, Bangalore. She worked as Lecturer in Govt. Polytechnic College, Kaduthuruthy, Kerala from November 2014 to October 2015. She worked in Presidency University, Bangalore from July 2018 to January 2023. She is currently working as Assistant Professor in Computer Science and Engineering Department at Jain University Bangalore, Karnataka. She is the Faculty Coordinator of the Girls WhoML program at Jain University, an initiative dedicated to encouraging and supporting female students in the field of Artificial Intelligence and Machine Learning. She received 2 best paper awards in the 2nd International Conference on Evolutionary Artificial Intelligence (ICEAI 2024) held in Malaysia and in the International Conference on Computing System and its Application organized by Acharya Institute of Technology, Bangalore. She published many research papers in SCI, SCIE, Scopus indexed Journals. She has received certification in AWS Solution Architect Associate. Her research areas include Supply Chain Management, Machine Learning and Internet of things.

Employment

• Jain University
  2024 - Present
• Presidency University
  2018 - 2023

Education

• Presidency University Ph.D.
  2020 - 2023
• IHRD College of Engineering Cherthala, Kerala M.Tech
  2012 - 2014

Projects & Funding

Projects & funding information is unavailable.

Publications (25)

• A Hybrid Deep Learning Framework for Early Lung Cancer Diagnosis and Classification Using Transfer Learning with VGG16
  Lecture Notes in Networks and Systems 2026 DOI: 10.1007/978-3-032-14772-1_13
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• AI-Driven Forecasting for Supply Chain Optimization: A Stacked Ensemble Model for Daily Demand Prediction
  Lecture Notes in Networks and Systems 2026 DOI: 10.1007/978-3-032-14772-1_20
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• Revolutionizing Supply Chains: A Systematic Review of Integration of Artificial Intelligence in Supply Chain Management
  EAI/Springer Innovations in Communication and Computing 2026 DOI: 10.1007/978-3-032-02979-9_11
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• Lung Tumor Detection using LW-convMLP Segmentation with Improved Golden Jackal Optimization-based DRNet-MM Classification
  Journal of Computing & Biomedical Informatics 2025 DOI: 10.56979/1001/2025/1142
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• Gaussian dual adjacency graph based spatial correlated and temporal time dependent traffic prediction in Bangalore City
  Scientific Reports 2025 DOI: 10.1038/s41598-025-25075-4
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• Enhancing sarcasm detection in sentiment analysis for cyberspace safety using advanced deep learning techniques
  Scientific Reports 2025 DOI: 10.1038/s41598-025-08131-x
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• Energy Efficient AODV routing protocols for FANETs
  Journal of Machine and Computing 2024 DOI: 10.53759/7669/jmc202404065
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• QUEUEING SYSTEM IN FAIR PRICE SHOP OF KERALA TO MITIGATE WAITING TIME AND OPTIMIZATION OF SERVERS
  Indian Journal of Computer Science and Engineering 2023 DOI: 10.21817/indjcse/2023/v14i1/231401104
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• Forecasting stochastic consumer portability visitation pattern in fair price shops of India
  Journal of Information and Optimization Sciences 2023 DOI: 10.47974/jios-1364
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• Internet of Things and Machine Learning based Intelligent Irrigation System for Agriculture
  2022 5th International Conference on Contemporary Computing and Informatics (IC3I) 2022 DOI: 10.1109/ic3i56241.2022.10073254
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