Organisation profile

Organisation profile

School of Computer Engineering (SoCE)

The School of Computer Engineering (SoCE) was established in the year 2025, following the merger of two previously independent entities—the Department of Computer Science & Engineering and the Department of Information Technology—both of which had been offering specialized programs since their inception. This unification has led to the formation of a cohesive academic unit offering six cutting-edge specializations under a single umbrella.

At SoCE, we are dedicated to delivering in-depth technical education, fostering innovation, and driving research excellence. In alignment with the vision of “MAHE 2025 – The Year of Excellence in Industry-Academia Collaboration,” the school has emerged as a hub of innovation, interdisciplinary research, and technological advancement. With a strong emphasis on real-world relevance, our programs are designed in collaboration with leading industry partners to ensure our students graduate with the skills demanded by the tech world.

We are proud to be recognized as a Center of Excellence (CoE) in computer engineering, supported by a vibrant research ecosystem and state-of-the-art infrastructure. The CoE serves as a strategic hub for interdisciplinary research, hands-on development, and industry-academia collaboration, positioning the School of Computer Engineering as a leader in autonomous systems and intelligent mobility. Besides, the school houses advanced research infrastructure, including the Apple Lab (Room AB5 303) and GPU Lab (Room AB4 411), and provides access to tools like Grammarly and Turnitin for academic writing and integrity. The School also offers a Ph.D. program, enabling scholars to explore advanced research in areas such as Artificial Intelligence & Machine Learning, High-Performance Computing Systems, Computer Networks & Security, Knowledge Engineering, Software Engineering, etc.

Research Highlights – School of Computer Engineering (SoCE)

  • Established in 2025, SoCE integrates CSE and IT departments under one academic and research umbrella.
  • Research areas, but not limited to:
    • Artificial Intelligence and Machine Learning
    • Computer Vision and Robotics
    • Internet of Things (IoT) and Smart Agriculture
    • Wireless Sensor Networks
    • Cloud/Fog/Edge Computing
    • Cybersecurity and Quantum Cryptography
    • Remote Sensing
    • Quantum Computing
    • Software Systems, Knowledge Engineering, and Healthcare Analytics
  • Active grants received from:
    • DST, SERB, ICMR, AICTE, CSIR, IKS, ICSSR, VGST, ISRO, MeitY, and INAE
  • This CoE is dedicated to pioneering advancements in Autonomous Mobility, with a particular emphasis on the development of self-driving vehicle technologies and future-ready intelligent transportation systems. The center is a collaborative initiative with Decibel Lab Private Limited and Virya AI (Maini Group), bringing together academic insight and industry expertise to nurture applied research.
  • Key focus areas include:
  • Advanced sensor technologies for perception and navigation
  • Algorithm development for autonomous decision-making
  • Cybersecurity frameworks for connected and automated vehicles
  • In recognition of its innovation-driven initiatives, the School has received a research award valued at $10,000, which includes access to the IBM Cloud, use of IBM watsonx tools, and a comprehensive suite of self-paced learning plans and technical resources. This award further enhances the capabilities of the CoE, supporting cutting-edge research and capacity building in next-generation mobility solutions.
  • Ongoing partnerships with industry focus on secure hardware design for next-generation IoT platforms and Edge-AI for low-power embedded applications.
  • The School of Computer Engineering is actively engaged in cutting-edge research across multiple domains:
  • Patented wearable biosensors for remote health diagnostics.
  • AI-driven irrigation management platform adopted by agricultural communities.
  • Energy-efficient IoT devices for environmental monitoring
  • Urban air quality monitoring system with real-time analytics.
  • Voice-controlled smart wheelchair with obstacle avoidance for assistive mobility.
  • Information System for rural empowerment
  • Robots for smart farming and precision agriculture
  • Selected major research projects:
    • "Game-based Deep Ocean Knowledge Enrichment through Virtual Reality Simulations and Mission Dives" funded by INAE-SERB with a grant of ₹29,94,772.
    • "IoT-enabled Smart Paddy System for Soil-Climate-Water Management" funded by Indian Knowledge Systems (IKS) with a grant of ₹20 Lakhs.
    • "AI & IoT Platform for Soliga and Santhal Tribal Empowerment" funded by ICSSR (Multiple Phases) with a grant of ₹30+ Lakhs.
    • "Post-Quantum Cryptographic Platform using Photonics" funded by DST with a grant of ₹3.2 Crores.
    • "Integrated Deepfake Detection using Audio-Visual Semantic Consistency" funded by CSIR with a grant of ₹20 Lakhs.
    • "Edge-based Pollution Check Vehicle Routing with Traffic Awareness" funded by SERB with a grant of ₹85 Lakhs.
  • Technologies and platforms applied:
    • Explainable AI, Federated Learning, Generative AI, Edge/Cloud collaboration
    • VR/AR simulations for education and ocean exploration
    • Secure health monitoring systems on embedded platforms
    • AI-driven solid waste and crop management systems

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