Rajasree Rajamohanan

About

An academician with 15+ years of experience in Computer Science education and research within multicultural settings in the UAE and India. Proven ability to design and deliver engaging learning experiences for diverse student populations, integrating innovative pedagogical approaches and technology to foster critical thinking and practical skills. Possesses a strong track record of research excellence in Artificial Intelligence, Data Science, Deep learning and related fields, demonstrated by numerous publications in Scopus and Web of Science indexed journals and presentations at international conferences. Experienced in developing and implementing curricula for Bachelor's and Master's programs and dedicated to student mentorship and contributing to a dynamic academic environment.

Employment

• Jaipur National University Adjunct Professor
  2025 - Present
• S P Jain School of Global Management, Dubai Adjunct Faculty
  2025 - Present
• Murdoch University Adjunct Lecturer
  2025 - 2025
• Britts Imperial University College Adjunct Faculty
  2025 - 2025
• Karpagam Academy of Higher Education Assistant Professor
  2022 - 2024
• Victoria College Assistant Professor & Head
  2014 - 2019
• Westford University College Assistant Professor
  2012 - 2014

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (20)

• Hybrid AI Approach for Melonama Diagnosis Detection with Image Segmentation Using MobileNet and Deep CNN Algorithms
  Lecture Notes in Networks and Systems 2026 DOI: 10.1007/978-981-96-4933-4_46
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• A Novel Decision Tree and LSTM Powered Intelligent Agent System for Early Detection of Vegetable Plant Diseases
  2025 6th International Conference on Electronics and Sustainable Communication Systems (ICESC) 2025 DOI: 10.1109/icesc65114.2025.11212443
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• Hybrid ANN-Fuzzy Logic Model for Intelligent Irrigation Control under Uncertain Weather and Soil Conditions
  2025 IEEE 3rd Global Conference on Wireless Computing and Networking Gcwcn 2025 2025 DOI: 10.1109/GCWCN66157.2025.11448282
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• Predictive Modeling of Diabetic Foot Ulcers: An Advanced Approach Using Hybrid DeepQ-CNN
  Lecture Notes in Electrical Engineering 2025 DOI: 10.1007/978-981-97-9112-5_36
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• Deep Residual Network for Effective Lung Cancer Detection on Computed Tomography Images
  Proceedings of InC4 2024 - 2024 IEEE International Conference on Contemporary Computing and Communications 2024 DOI: 10.1109/InC460750.2024.10649053
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• Influence of Lung Cancer Model Characteristics on Nanodrugs Tumor Targeting Behavior Based on Convolutional Kernel Extreme Learning Machine Model
  2024 3rd International Conference for Advancement in Technology, ICONAT 2024 2024 DOI: 10.1109/ICONAT61936.2024.10775285
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• Evaluating Deep Learning Models for Customer Lifetime Value Forecasting Based on Hybrid DT and Naive Bayes Model
  2024 2nd World Conference on Communication and Computing, WCONF 2024 2024 DOI: 10.1109/WCONF61366.2024.10692182
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• EXPLORING THE POTENTIAL OF PRECISION AGRICULTURE TECHNOLOGIES TO ENHANCE RESOURCE USE EFFICIENCY AND SUSTAINABILITY IN SMALLHOLDER FARMING SYSTEMS
  Journal of Environmental Protection and Ecology 2024
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• Automated Detection and Alerting System for Wheat Leaf Diseases Using the VGG16 Deep Learning Model
  2nd IEEE International Conference on Data Science and Network Security, ICDSNS 2024 2024 DOI: 10.1109/ICDSNS62112.2024.10690870
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• A Novel Method for Finger-Vein Recognition Based on MFAGNET Approach
  2024 3rd International Conference for Innovation in Technology, INOCON 2024 2024 DOI: 10.1109/INOCON60754.2024.10511436
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