AKSHAY PANDEY
Indian Institute of Technology Roorkee: ROORKEE, UTTARAKHAND, IN, Indian Institute of Technology Roorkee
About
I am a faculty member and researcher specializing in Artificial Intelligence, Machine Learning, Computer Vision, Remote Sensing, Unmanned Aerial Vehicle (UAV) technologies, Geographic Information Systems (GIS), and intelligent decision-support systems. My research focuses on developing AI-driven solutions for precision agriculture, sustainable development, autonomous aerial systems, Earth observation, and healthcare applications.
My research interests lie at the intersection of artificial intelligence, data science, computer vision, and cyber-physical systems. I work on AI-enabled frameworks for crop health monitoring, disease detection, UAV-based imaging, remote sensing analytics, explainable AI, federated learning, spatial intelligence, and multimodal data analysis to address real-world environmental and societal challenges.
I contribute to undergraduate and postgraduate education through teaching courses in Data Science, Image Processing, UAV Software Systems and Applications in Computer Science, and Innovation Theory and Practice. I mentor students and researchers in artificial intelligence, computer vision, remote sensing, UAV applications, and intelligent systems, guiding projects and research in agricultural AI, aerial image analysis, explainable deep learning, and autonomous technologies.
My research contributions include participation as Principal Investigator and Co-Investigator in externally and institutionally funded projects related to AI-enabled agriculture, UAV-based precision farming, Web-GIS platforms, digital twins, climate resilience, autonomous drone systems, and intelligent monitoring technologies. My ongoing research focuses on AI-driven UAV and Web-GIS solutions for crop monitoring, disease identification, agricultural decision support, and sustainable development.
I have published research articles in international journals, conferences, and book chapters covering deep learning, medical image analysis, remote sensing, precision agriculture, aerial image interpretation, explainable AI, federated learning, and intelligent systems. I have also contributed to intellectual property development through patent applications in areas including autonomous aerial systems, biometric technologies, food quality monitoring, and industrial safety applications.
Beyond research and teaching, I have contributed to academic administration, institutional activities, research promotion, and innovation initiatives. I have coordinated and supported faculty development programmes, workshops, and technical events in artificial intelligence, generative AI, GIS, IoT, smart sensors, and AI-enabled education. I also contribute to the academic community through research reviewing, technical programme committees, session chairing, and editorial activities.
I hold a DGCA-approved Remote Pilot Certificate for Standard Unmanned Aircraft Systems (Multirotor Category), supporting research and academic applications involving UAV platforms and aerial data acquisition. My vision is to advance interdisciplinary research by integrating trustworthy and sustainable artificial intelligence with emerging technologies to create impactful solutions for agriculture, healthcare, environmental monitoring, smart infrastructure, and autonomous systems.
Employment
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Indian Institute of Technology Roorkee: ROORKEE, UTTARAKHAND, IN PROJECT CONSULTANT2023 - 2024
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Indian Institute of Technology Roorkee PROJECT ASSOCIATE2016 - 2017
Education
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Indian Institute of Technology Roorkee PHD2017 - 2023
Projects & Funding
Projects & funding information is unavailable.
Publications (16)
- Active vision for brain tumor localization on grid-discretized MRI using a dual-map actor-critic network with proximal policy optimization Save
- Performance Assessment of Deep Learning Models for Aerial Image-Based Solar Panel Fault Classification Save
- Cognitive Agriculture: A Web-GIS Framework for High-Accuracy Crop Recommendation and Disease Detection Save
- Dual Attention Based ConvNeXtTiny for Crop Classification Save
- Precision Agriculture: A Web-GIS Framework for Health and Stress Assessment Using Multi-Source Remote Sensing Data Save
- Development of a Modeling Approach for Agriculture Crop Type Classification Aiming at Large-Scale Precision Agriculture by Synergistic Utilization of Fused Sentinel-1 and Sentinel-2 Datasets with UAV Datasets Save
- Change Point Detection-Based Video Analysis Save
- A Novel Change Point Detection Approach for Analysis of Time-Ordered Satellite Imagery Save
- Plant leaf disease classification using deep attention residual network optimized by opposition-based symbiotic organisms search algorithm Save
- An Optimal Retinanet Model For Automatic Satellite Image Based Missile Site Detection Save