School of Electronics & Communication Engineering · SMVDU
A university-backed applied R&D environment that connects central AI compute, edge intelligence, embedded systems, AGVs, UAVs and enterprise software-turning research questions into validated technology systems.
Artificial Intelligence · Industrial IoT · Robotics · Autonomous Drones · Advanced Networks · Cyber-Physical Systems · Enterprise Software
One connected engineering environment
About PRAGYAAN
PRAGYAAN is an applied research, prototyping and technology-development laboratory within the School of Electronics and Communication Engineering at Shri Mata Vaishno Devi University, Katra, Jammu and Kashmir.
Its cross-disciplinary environment supports academic research and student development alongside sponsored R&D, technology demonstrators, pilot systems and custom engineering for industry, government, PSUs and research organisations. Work can span embedded sensing, connected devices, model development, edge deployment, autonomous platforms, data systems and operational software.
Research & technology domains
Research themes and engineering competencies are organised as connected domains-not isolated hardware or software activities.
Model research and application development using central, workstation and embedded AI compute.
Connected prototypes and platforms that move operational data from devices to decision-makers.
Research at the intersection of perception, embedded intelligence, software and physical action.
UAV software, data workflows and intelligence for field-oriented research and validation.
Connected architectures in which sensing, computation, communication and control work together.
Maintainable software that connects laboratory intelligence with institutional operations.
Technology infrastructure
Each platform occupies a deliberate layer-from model training and workstation experimentation to embedded inference and physical deployment.
Central AI compute
One DGX A100 with 8 NVIDIA A100 GPUs and 320 GB aggregate GPU HBM memory, complemented by one PARAM Shavak ML/DL variant with RTX 4500 ADA GPU.
Generative & workstation AI
The Z6 A combines an AMD Ryzen Threadripper PRO 9975WX, 128 GB 6400 MHz ECC RAM and an NVIDIA RTX PRO 5000 Blackwell GPU with 48 GB memory.
Physical AI
High-end embedded AI platforms for AGV perception, autonomous-system research and real-time inference experimentation.
Distributed edge AI
A fleet of compact AI nodes for distributed inference, embedded computer vision and edge-analytics prototypes.
Embedded computing & IoT
20 Raspberry Pi 5, 15 Raspberry Pi 4, 10 Arduino UNO Q 4 GB, 20 ESP32-C6 DevKitM, 10 Arduino MKR WAN 1310, 10 ESP32 ZigBee gateways and 10 Arduino Nano 33 IoT.
AGVs, UAVs & development network
Four two-wheel AGV platforms, three enterprise Pixhawk/Holybro drone platforms and one DJI Matrice 4E, supported by computer terminals, wired Ethernet and Wi-Fi.
What this infrastructure enables
The value lies in connecting compute, devices and deployment-not in treating equipment as an inventory.
Deep learning, computer vision, multimodal systems, local LLM experimentation, retrieval-augmented generation, domain assistants, AI agents, model evaluation and optimisation.
Real-time inference, intelligent sensing, embedded vision, AGV perception, navigation research, distributed AI and model deployment on embedded platforms.
Distributed sensing, connected assets, telemetry, gateways, remote monitoring, alerts, device management, analytics and enterprise integration.
Robotics and UAV software, telemetry, mission workflows, sensor integration, aerial analytics, mobile autonomy and field-oriented validation.
Sensing, computation and control prototypes; connected autonomous systems; digital monitoring; distributed control research; and edge-cloud integration.
Secure role-based portals, APIs, microservices, data platforms, workflows, reporting, telemetry visualisation and cloud or on-premise deployments.
End-to-end capability
PRAGYAAN can engineer the interfaces between field systems, intelligence and the people who use them.
Applied capability areas indicate work the laboratory is equipped to undertake; they are not presented as completed client case studies.
From research concept to deployable system
Engagements begin with the problem-not a predetermined technology. PRAGYAAN can carry an agreed scope through requirement discovery, architecture, UI/UX and solution design, prototyping, Agile implementation, integration, testing, field trials and deployment.
Version-controlled development, technical documentation, user and administrator training, and operational handover support maintain continuity beyond the prototype. Project-specific warranty, maintenance and support may be provided as part of the agreed scope.
Research
AI/ML/DL, edge and physical AI, autonomous systems, IoT, cyber-physical systems, UAV intelligence, advanced networking and distributed systems.
Engineering & translation
Prototypes, technology demonstrators, pilot deployments, enterprise software, data platforms, field validation and custom technology development.
Experience & evidence
PRAGYAAN has experience developing and delivering IoT- and drone-related systems. Detailed project identities, partners and outcomes are published only when disclosure is approved.
For technical evaluation and scoped collaboration, authorised teams may discuss relevant experience through institutional channels. Public project profiles will identify the sector, challenge, solution, technologies and outcome only where each detail is verified and publishable.
Why collaborate with PRAGYAAN
An institutional research environment with access to faculty, researchers and student teams.
AI infrastructure spanning central training, workstation development and embedded inference.
Integration capability across connected devices, networks, autonomous platforms and enterprise applications.
Requirements, architecture, implementation, testing, deployment, documentation and training.
Research themes join electronics, computing, autonomy, data and application engineering.
A practical pathway for technology demonstrators, field validation and custom systems.
People & participation
Current, approved profiles are maintained through SMVDU's official directories rather than duplicated here.
Research direction, institutional liaison and programme coordination.
Domain expertise, research supervision and interdisciplinary collaboration.
Investigation, experimentation, validation and knowledge outputs.
Laboratory operations, integration and platform support.
Supervised research, prototyping and technology translation.
Collaboration pathways
Engagements are shaped around the research question, intended outcome, field context and agreed scope.
Sponsored R&D, joint development, prototypes, pilot deployments and technology consulting.
Applied R&D, technical studies, technology demonstrators, pilot implementations and indigenous technology development.
Joint research, proposals, publications, workshops and student or researcher exchanges.
Technical mentoring, prototype development, validation and technology support where institutionally permissible.
Begin a conversation
Share the problem, intended users, operating environment and desired outcome. The appropriate university team can then assess research alignment and a feasible engagement pathway.