Welcome to CSIR-NEERI
Council of Scientific & Industrial Research
विज्ञान एवं प्रौद्योगिकी मंत्रालय
Ministry of Science & Technology
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वैज्ञानिक और औद्योगिक अनुसंधान परिषद (सीएसआईआर) की एक घटक प्रयोगशाला
(विज्ञान और प्रौद्योगिकी मंत्रालय, भारत सरकार के अधीन एक स्वायत्त संगठन)
"To harness advanced technology, including artificial intelligence, IoT, RS and QC, to enable 24/7, high-resolution monitoring, predictive analytics, and automated reporting of environmental parameters."
"To lead with AI and Digital technology that turns data into insight, insight into predictive action for a sustainable environment."
Integrating AI and Machine learning application for advanced environmental monitoring and management.
Digital Twin frameworks and IIOT applications for sustainable environmental domain.
RS and GIS applications - land use change detection, urban growth modeling, and flood susceptibility mapping.
UAV/Drone based Embedded IoT technology for environmental monitoring and management.
Knowledge mapping of quantum computing for climate change research and sustainable innovation.
Conditional Assessment & Management Plan for Godavari River Basin
Andhra Paper Mills Effluent Study: Optimal discharge location modelling
Urban Biodiversity Studies: City Biodiversity Index for Bihar urban areas
Feasibility study and implementation of Sensor Grid for Air quality & Noise quality monitoring in Delhi & its validation with conventional systems
Comprehensive Environmental, Ecological, Anthropogenic Others Risk Assessment Data for Heritage Sites and Development of Smart Heritage Management
Jal Jeevan Mission: Affordable IoT-enabled Water Service Delivery
PipeSelect: India's first pipe material selection tool
SFRA-WDS: Database standardization framework for water assets
RISK-PiNET: Risk assessment software for water distribution systems
Development of Drone Related Technologies for Society-oriented Smart Sensing and Physical Interventional Applications
Development and Demonstration of a High Spatio-temporal Resolution UAV Aided GHG Monitoring System for Municipal Solid Waste Management
Drone-based Mapping and Photogrammetric Study of Excavation site
LoWPAN (IoT) compliant sensor modules network for monitoring of poisonous gases in industrial environment
RISK-PiNET 2.0 (Python) and PipeSelect 1.0 (Python)
Web based IoT Dashboard 1.0 for WQ monitoring
Embedded IoT-Enabled Software for Air Monitoring (IIAM V1)
WQ sampling and measurement
Particulate Monitoring in Industrial Complex
Continuous software development, maintenance, and deployment lifecycle optimization for primary institutional web channels and spatial portals.
Providing seamless digital access, routine server workflows, maintenance, and operational alignment for:
Servers running targeted workflows optimized for the rigorous recruitment loops of institutional S&T staff and the programmatic engagement processing of Project Assistants.
Central command infrastructure projecting real-time alerts, visual analytics, major institutional updates, activities, and events cross-site.
Consolidated integration of high-speed NKN and BSNL Internet Leased Lines, enforcing structured standardization of low-latency communication across all specialized Zonal Research Centers.
Transitioned core communication layout to the targeted secure NIC mail environment, guaranteeing authenticated, compliant, and structurally resilient institutional networking.
End-to-end configuration and monitoring upkeep of the campus CCTV perimeter matrix across administrative offices and residential colony networks alongside systemic maintenance for the institutional Biometric Attendance System platforms.
Dr. Piyush and Dr. Poonam
(Dr. Asheesh, Dr. Poonam)
Compliance Standards & Cyber Frameworks
Internet and Cyber security policy implementation, Website STQC and GIGW 3.0 certification, CSIR-NEERI Domain registration with ERNET, SSL certification as per the NIC and CSIR HQ IT cell.
Licensed and transferred to M/s Biomimicry Technologies Pvt. Ltd.
RISK-PiNET 2.0 (Python) and PipeSelect 1.0 (Python)
Web based IoT Dashboard 1.0 for WQ monitoring
Embedded IoT-Enabled Software for Air Monitoring (IIAM V1)
WQ sampling and measurement
Particulate Monitoring in Industrial Complex
Dr Piyush Kokate and Dr Poonam awarded PhD Degree under AcSIR 2024 and Dr. Asheesh Sharma PhD from Technical University of Berlin, Germany, with the distinction "magna cum laude".
Dr. Poonam Shivdutt Kumar - INSA visiting Scientist fellowship at IISc Bangalore in Centre for Nano Science and Engineering (CeNSE) lab.
Dr. Poonam Shivdutt Kumar BIS member International electro technical commission technical committee 111: environmental standardization for electrical and electronic products and systems.
Artificial Intelligence and High-Performance Computing
Training sessions on the biometric attendance system
Cybersecurity awareness workshops for NEERI staff and school students
Hands-on training on e-Office and email operations for staff
Institutional IT services and administration, Mathematical/Statistical and AI/ML Data Analytics.
Environmental real time monitoring with decision support – maintain environmental sustainability to overcome climate challenges.
Deployment in actual environment and commercialization potential by Partnership with Academia, Industry, NGO and Govt Dept (User) partnership (PPP) and Innternational TU Berlin, KWB Germany and Global South.
(Scientists, Technical staff and dedicated PhD/PDF manpower) – require necessary skills upgradation to effectively implement AI and digital solutions and its integration with existing systems.
Persists despite active technology and technical pipeline development loops.
Required for successfully scaling up the fundamental digital infrastructure architecture layers.
Spanning across multiple cities or states – require deep integration within structural groups and outside agencies (NGO, Startups, Industries and Govt departments).
To innovate and adapt environmental challenges - cloud-based applications, integrating RS, IoT and drone-based Intelligent environmental monitoring with decision support and adopting circular economy principles.
High-fidelity predictive infrastructure engines optimized for large urban system parameters.
Direct integration mappings with Digital India, Smart Cities, Jal Jeevan Mission, Waste to wealth, and Climate Adaptation initiatives.
Expanding commercial and industrial deployment corridors globally.
Fast paced iterations in AI, data analytics and IoT requiring persistent capital/systemic upgrades.
Aggressive tracking loops from private technology firms and fast-moving startups in environmental digital solutions.
Risks associated with large digital infrastructure and environmental data platforms including data security vulnerabilities etc.
Operational baseline relies highly on third-party Service Level Agreements (SLAs).
Directly impacting structural timelines for digital system scaling models.
Region specific integrated software and systems using environmental intelligence platforms
Digital Twin systems for smart cities and urban environmental management
Geospatial analytics and remote sensing-based environmental assessment
Drone-enabled environmental real time monitoring (air, water, GHG and waste)
Advance integrated software tools for Environmental monitoring and management
The key emerging challenges are ecological impact, data limitations, infrastructure gaps, bias, governance absence, need for context-specific sustainable AI design.
Real-time integration of multi-source environmental data using modern telemetry loops (IoT, satellite, and drones).
Developing systemic resilience tools to counter sudden floods, severe heatwaves, and compounding air pollution episodes.
Ensuring enterprise-grade cybersecurity and data governance policies for critical environmental digital infrastructures.
Deep functional work on environmental modelling and hydro informatics pipelines.
Collaborative engineering focused on smart water systems and digital twins for smart water distribution operations.
Cross-border institutional exchange on AI-driven environmental intelligence and predictive climate analytics frameworks.
IoT-Based Real-Time Hydrometeorological Monitoring System Critical Zone Observatory (CZO), Nagpur–MP Boundary
Budget: Rs 51 LakhsCZ-Fusion Net: Critical Zone Intelligence for Hyperlocal AI Rainfall Now casting - Tentative
Budget: 1 crJal Jeevan Mission - Digital Twin Framework for Smart Water monitoring and Distribution Systems align to National Water Quality Surveillance, Climate Risk and Forecasting System
Maha Drone DST ANRF Mission: Drone aided bio Aerosole monitoring
Tentative Budget: 1 crClean Air (NCAP) - Urban Air Pollution Forecasting and Source Attribution Platform
Quantum-AI Synergies for Urban Sustainability (Q-Detect & Q-AQCast)
For smart water infrastructure analytics - deployment of RISK-PiNET, PipeSelect and IoT Dashboard platforms.
Smart water monitoring and SCADA integration with Urban Local Bodies and Water Utilities.
IoT-based environmental monitoring systems for municipal and local urban bodies and industrial clients.
Industry-supported digital twin and predictive analytics platforms.
Integrating SCADA, GIS, IoT sensors, and hydraulic models.
For Air PM, GHG emissions, and water quality assessment.
Integrating field monitoring and satellite data.
For AMR surveillance and public health monitoring.
Reduce water losses, improve service delivery, enable predictive maintenance, and support compliance with national water quality standards.
Target Licensees: Municipal utilities, state water boards, and private infrastructure companies. EPC contractors like Larsen & Toubro turnkey projects.
Pilot Demonstrations: Partner with Jabalpur Municipal Corporation and other progressive ULBs — leak reduction, downtime minimization, and cost savings. Replicate success stories across Smart Cities Mission projects.
Cloud-hosted with mobile app integration analytics modules (AI-based anomaly detection, digital twin).
L&T, Tata Projects, PPP model. Government: AMRUT 2.0, Jal Jeevan Mission, Smart Cities.
Development and laboratory validation of AI/IoT environmental monitoring tools.
Pilot-scale demonstrations in selected cities (e.g., smart water monitoring and environmental dashboards).
Field Deployment – AI, digital twin, RS and drone-based technologies for urban and rural sector and operational integration in State Agencies.
Vision Core: Commercialization, technology licensing, and nationwide implementation under government missions and industry partnerships.
All India Institute of Local Self-Government
Leveraging hybrid intelligence architectures, geospatial algorithms, and multi-spectral sat-data pipeline analytics for environmental mapping.
Pioneering real-time automated data streams using edge-compute UAVs alongside immersive digital twin environments for regional mapping.
