A Centre of Excellence.
Every deep-tech discipline
Indian industry needs.

Why it matters

Under the India Semiconductor Mission, the country is committing close to ₹76,000 crore to attract fabs and OSAT (assembly, testing, packaging) capacity. The packaging stage alone will employ several lakh engineers over the next decade — but the talent pipeline does not exist at the depth India needs. SMPL is purpose-built to close that gap with wafer-level inspection, die-attach, wire-bond, encapsulation and electrical-test capability that mirrors the OSAT shop-floor.

What you learn here

• Wafer-level inspection and die-attach simulation
• Wire-bond and flip-chip assembly training
• Encapsulation, package-level reliability and burn-in
• Hands-on OSAT process certification for engineering graduates

Why it matters

India is on track to be the world's third-largest EV market by 2030, with FAME-II and PLI schemes pulling demand for trained engineers in cell chemistry, battery management systems, traction drives and charging infrastructure. EVFM gives students hands-on time with the exact stack OEMs ship: BMS firmware, motor-controller calibration, regen logic and DC fast-charging diagnostics.

What you learn here

• Lithium cell characterisation and battery-pack assembly
• Battery Management System (BMS) firmware and calibration
• Motor controller, regenerative braking and traction drives
• DC fast-charging and Vehicle-to-Grid (V2G) test rigs

Why it matters

India's medical-device market is projected to cross USD 50 billion by 2030 and is now a national priority under the National Medical Devices Policy. MEDL trains engineers in IEC 60601 / 62304 electrical safety, ISO 13485 quality systems and BIS/CDSCO submission workflows — the exact gauntlet a medical product must clear before it can ship in India.

What you learn here

• IEC 60601 medical electrical safety testing
• ISO 13485 quality system and risk-management documentation
• Diagnostic-imaging, wearable and surgical-device prototyping
• BIS / CDSCO regulatory submission training

Why it matters

Every GPU cluster, frontier-model training run and sovereign-AI initiative ultimately rests on AI infrastructure hardware — high-bandwidth memory, accelerator fabrics, optical interconnects and the cooling systems that keep them alive. AIOF is among the few Indian labs offering hands-on exposure to this stack, from PCIe and CXL fabric to silicon photonics and liquid-cooled rack-scale design.

What you learn here

• GPU server, PCIe and CXL fabric bring-up
• Silicon photonics and high-speed optical interconnect labs
• Liquid-cooled rack-scale design and thermal validation
• AI accelerator board firmware and power-delivery testing

Why it matters

India's manufacturing-led growth target (Make-in-India, PLI in 14 sectors) hinges on factories that can run lights-out: PLC + SCADA + MES + digital-twin, with humans only on exceptions. SMIA puts the live, vendor-grade stack — Siemens / Mitsubishi PLCs, Kawasaki and FANUC robotic arms, OPC-UA, MQTT and digital-twin simulation — into the hands of engineering students before they ever set foot on an OEM floor.

What you learn here

• PLC, SCADA and MES integration (Siemens, Mitsubishi, Rockwell)
• Industrial robotics — Kawasaki, FANUC, ABB cells
• OPC-UA / MQTT industrial networking and edge analytics
• Digital twin and predictive-maintenance modelling

Why it matters

Indian agriculture employs nearly half the workforce but contributes ~17% of GDP — the productivity gap is the single largest economic opportunity in the country. CIDSA is the dedicated Centre of Excellence anchored at the University of Agricultural Sciences, Bengaluru (GKVK), closing that gap with AI-driven agronomy, drone & GEO-spatial analytics, soil/water/climate IoT and an Agri-LLM advisory platform that speaks the farmer's own language.

What you learn here

• AI-driven agronomy and crop-health prediction
• Drone & GEO-spatial intelligence for precision farming
• Soil, water and climate analytics via Agri-IoT
• Agri-LLM advisory platform for farmers & extension workers

Why it matters

India's ESDM market is on track to cross USD 300 billion by 2026 and is the second-largest job-creation lever in the digital economy after IT services. ESDM is structured around the full product-realisation chain — schematic capture, PCB design, SMT assembly, functional test, EMI/EMC and reliability — so a graduate can walk into any Indian or global EMS partner shop-floor day one.

What you learn here

• Schematic capture, PCB layout and DFM/DFT review
• SMT line, reflow profiling and AOI/X-ray inspection
• Functional test, EMI/EMC and accelerated-life reliability
• BoM management and supply-chain de-risking

Why it matters

India is now the third-most-targeted nation in the world for cyber attacks, with grid, banking, healthcare and defence systems under constant pressure. 3CI is a live-fire range for the defenders India needs — SOC operations, threat hunting, OT/SCADA hardening, cloud workload protection and red/blue team exercises against scenarios drawn from real Indian critical-infra incidents.

What you learn here

• SOC operations, SIEM, threat intelligence and IR runbooks
• OT / SCADA / ICS hardening for grid, water and oil-and-gas
• Cloud workload protection (AWS, Azure, GCP) and zero-trust
• Live red-team / blue-team cyber range exercises

Why it matters

Two parallel forces converge in READ: Indian manufacturers reverse-engineering imported components for cost localisation and import-substitution, and global OEMs expanding ADAS / autonomous-vehicle programmes from their Indian engineering centres. READ trains engineers in 3D scanning, point-cloud-to-CAD reconstruction, sensor fusion (camera + radar + LiDAR), and digital-twin simulation against ISO 26262 functional-safety norms.

What you learn here

• 3D structured-light scanning and point-cloud-to-CAD
• Camera, radar and LiDAR sensor fusion for ADAS
• ISO 26262 functional-safety and AUTOSAR architecture
• Digital twin simulation for vehicle and shop-floor systems

Why it matters

Cyber-physical systems are the connective tissue of Industry 4.0, smart cities, defence and agriculture — wherever sensors, edge computing and actuators meet. IoT-CPS provides hands-on time across the full edge-to-cloud stack: low-power MCUs, LoRaWAN / 5G / NB-IoT radios, edge ML inference and time-series cloud platforms that scale to millions of devices.

What you learn here

• Low-power MCU and RTOS firmware (ESP32, STM32, nRF)
• Wireless radios — LoRaWAN, NB-IoT, BLE Mesh, 5G
• Edge ML inference and on-device anomaly detection
• Time-series databases, MQTT brokers and cloud-scale ingestion