Ayurveda, Phytochemistry, Microbiology, Cell culture, Genetics. Advanced Equipments: LCMS/MS QTOF, ICPMS, HPTLC, RT-PCR and other supporting instruments like Chemidoc, Electrophoresis, UV Vis Spectrophotometer, Incubators, Deep Freezers etc.
The combined vision of the 5G-6G Innovation and Research Lab and the Autonomous Systems Research Lab is to pioneer cutting-edge advancements in advanced communication networks, robotics, and artificial intelligence through world-class research and cross-disciplinary collaboration. By establishing strong theoretical and practical foundations in next-generation communications and integrating AI, machine learning, and advanced sensing into autonomous systems, the labs aim to develop intelligent, adaptable robots that interact seamlessly with humans and operate safely across fields like manufacturing, logistics, healthcare, and agriculture. Driven by entrepreneurial thinking and commercial innovation, these initiatives leverage national and international partnerships with industry, academia, and leading scientists to transform groundbreaking ideas into practical, high-impact technology solutions.Highlights:Cutting-Edge Communications & Robotics: Establishing theoretical and practical research foundations in 5G-6G networks, autonomous robotics, and artificial intelligence.AI & Machine Learning Integration: Combining AI, machine learning, and advanced sensing to enable real-time decision-making and performance of complex tasks.Seamless Human-Robot Collaboration: Developing intelligent, adaptable robotic systems that collaborate safely and efficiently with humans and other robots.Cross-Industry Applications: Driving efficiency, safety, and autonomy across critical sectors like manufacturing, logistics, healthcare, and agriculture.Commercialization & Innovation: Promoting entrepreneurial thinking to transform theoretical knowledge into viable commercial innovations.Global Strategic Partnerships: Fostering productive, high-level collaborations with national and international industries, universities, and scientists.Field-Wide Technological Advancement: Revolutionizing human-robot interaction and next-generation connectivity to spark broader industry-wide innovation.
An Intel-sponsored AI and edge-computing research and prototyping lab focused on Artificial Intelligence, Computer Vision, Edge AI, IoT, embedded systems, and intelligent sensing. The lab provides hands-on infrastructure for developing and deploying lightweight AI models on resource-constrained edge devices and supports rapid prototyping of AI-enabled applications.Incharge :Dr. Deepak K , Assistant Professor9940687412Advanced Equipments:ntel-sponsored edge AI infrastructure including multiple Raspberry Pi boards, GrovePi kits, Intel Neural Compute Sticks, and Raspberry Pi camera modules. These resources support edge AI experimentation, computer vision, IoT sensing, embedded machine learning, and real-time AI inference.
AICTE-IDEA Lab is a creative and innovative space or program designed to foster the generation, development, and realization of new ideas, inventions, or projects. These labs bring together individuals with diverse skills and backgrounds to collaborate on creative projects.
The Department of Food Science and Nutrition, Amrita Vishwa Vidyapeetham, Coimbatore, focuses on interdisciplinary teaching, research, and innovation in food science, nutrition, and allied sciences. A major research and innovation initiative of the department is the Amrita Centre for Food Nutrition and Integrated Research (ACFNIR), which serves as an integrated platform for advanced research. Its primary activities include:1. Food Science and Technology: Research on food processing, preservation, product development, food quality, safety, and value addition of conventional and emerging food resources.2. Nutrition and Health: Studies in community nutrition, clinical and therapeutic nutrition, lifecycle nutrition, micronutrient deficiencies, and diet-related health challenges.3. Functional Foods and Nutraceuticals: Development and evaluation of functional foods, nutraceuticals, bioactive compounds, and plant-processing for promoting health and preventing disease.4. Sustainable Food Systems: Research on millets, climate-resilient foods, agro-food by-product valorisation, and sustainable food processing and packaging technologies.5. Advanced Food Processing and Product Development: Application of technologies such as extrusion, fermentation, drying, for developing innovative and personalized food products.6. Food Analysis and Characterization: Nutritional, physicochemical, functional, microbiological, sensory, and bioaccessibility evaluation of food products and ingredients.7.Translational research: Interdisciplinary research integrating food science, nutrition, biotechnology, computational approaches, and emerging technologies to address nutritional and public health challenges.Advanced Equipments:”1. Freeze drier.2. Spray drier3. Solar Drier4. Laminar Air Flow5. Spectrophotometer6. Sonicator7. Viscometer”
The facility is equipped with advanced RF and microwave testing, material characterization, and PCB prototyping systems, supporting measurements from 800 MHz up to 67 GHz, extendable to 110 GHz, with comprehensive capabilities for solid/liquid dielectric characterization and high-frequency PCB prototyping. Advanced Equipments: N5227B PNA Microwave Network Analyzer: Operating frequency range 10 MHz 67 GHz, RF and Microwave PCB Prototyping Machine: LPKF ProtoMat S104, being installed.
Focuses on AI, machine learning, deep learning, computer vision, natural language processing, data analytics, and the development of intelligent systems for real-world applications such as agriculture, healthcare, automation, and sustainable development.
The Bio signals processing & Rehabilitation Robotics (BSRR) Lab is an interdisciplinary research group focused on the acquisition, analysis, and application of human physiological signals for advancing rehabilitation engineering and healthcare technologies. The laboratory is dedicated to bridging the gap between fundamental biomedical signal processing and real-world clinical rehabilitation needs.