Manikandan Bose

About

Dr. Manikandan Bose is a researcher working at the intersection of zoology, biodiversity, molecular biology, bioinformatics, artificial intelligence, and computational approaches to biological sciences. His research interests include genetic diversity and DNA barcoding, plant–pollinator interactions, bee biology, biodiversity conservation, bioinformatics, NGS data analysis, and AI-assisted biological research. His recent research extends these interdisciplinary approaches to precision agriculture, tea pest detection, computer vision, deep learning, multispectral UAV-based assessment, and sustainable pest management. He has contributed to research involving insect biodiversity, pollination networks, molecular and computational analyses, and AI-enabled agricultural applications. His research outputs include peer-reviewed journal articles, international conference publications, and interdisciplinary research collaborations spanning biological and computational sciences.

Employment

• Karpagam Academy of Higher Education Project Associate -I (DST Sponsored Project)
  2024 - Present
• Mizoram University Project Associate
  2022 - 2024
• Mizoram University Research Coordinator in UGC- STRIDE
  2020 - 2022
• Mizoram University Project Assistant - UGC (NSQF)
  2019 - 2020
• Ayya Nadar Janaki Ammal College Junior Research Fellow
  2018 - 2019

Education

• Mizoram University Ph.D.
  2020 - 2024
• Ayya Nadar Janaki Ammal College M.sc
  2016 - 2018

Projects & Funding

Projects & funding information is unavailable.

Publications (20)

• Structural, Spectroscopic, Quantum Chemical and Molecular Docking Studies on 2-Aminopyridinium Dihydrogen Phosphate: A Potential Multi-Target Bioactive Molecule
  Asian Journal of Chemistry 2026 DOI: 10.14233/ajchem.2026.36392
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• Microbial and Botanical Biopesticides: a Green Strategy for Tea Pest Management
  Journal of Crop Health 2026 DOI: 10.1007/s10343-026-01311-3
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• Attention-Augmented RT-DETR-L for Real-Time Multi-Class Grape Leaf Disease Classification
  2026 8th International Conference on Devices, Circuits, and Systems (ICDCS) 2026 DOI: 10.1109/icdcs68853.2026.11511080
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• Latency-Aware YOLOv26 with EMA-Stabilized Training and a P2 Head for Potato Blight Detection
  2026 8th International Conference on Devices, Circuits, and Systems (ICDCS) 2026 DOI: 10.1109/icdcs68853.2026.11510944
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• Comparative Assessment of Microtermes obesi Holmgren and Hyposidra talaca Walker for Mass Rearing of Rhynocoris marginatus (Fabricius)
  International Journal of Tropical Insect Science 2026 DOI: 10.1007/s42690-026-01976-3
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• Physicochemical, medicinal chemistry, and ADMET characteristics of bee antimicrobial peptides as natural bio-preservatives to extend food shelf life: a roadmap for food safety regulation
  Journal of Biomolecular Structure and Dynamics 2025 DOI: 10.1080/07391102.2024.2429181
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• AI-Driven Multi spectral UAV Mapping and Targeted Drone Spraying for Sustainable Tea Pest Management
  2025 International Conference on Emerging Research in Computational Science (ICERCS) 2025 DOI: 10.1109/icercs65898.2025.11580867
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• AIM-Net: A Resource-Efficient Self-Supervised Learning Model for Automated Red Spider Mite Severity Classification in Tea Cultivation
  AgriEngineering 2025 DOI: 10.3390/agriengineering7080247
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• ZooCNN: A Zero-Order Optimized Convolutional Neural Network for Pneumonia Classification Using Chest Radiographs
  Journal of Imaging 2025 DOI: 10.3390/jimaging11010022
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• Multi-Disease Recognition in Tea Plants By Evaluating the Performance of Yolo Models
  Journal of Intelligent Systems and Internet of Things 2025 DOI: 10.54216/jisiot.170104
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