Educating the Next Generation of Researchers and Engineers
Emphasizes hands-on labs, hardware-aware algorithm design, and project-based learning that connects device behavior to system performance. Education is the cornerstone of advancing the field. I believe in cultivating critical thinking, encouraging hands-on learning, and creating an environment where students can explore ideas, make mistakes, and ultimately develop a deep understanding of fundamental concepts. My goal is to inspire students to become innovative researchers and responsible professionals who contribute meaningfully to society.
Course addresses fundamental computational bottlenecks in next-generation intelligent instruments and cyber-physical systems. Moves beyond traditional von Neumann architectures to explore nanomagnetic logic, memristive in-memory computing, neuromorphic architectures, approximate computing, and quantum-inspired algorithms. Emphasizes hardware-software co-design and AI-driven electronic design automation frameworks for sensor intelligence applications.
Textbook: Sivasubramani, S. (2024). Nanoscale Computing: The Journey Beyond CMOS with Nanomagnetic Logic. Wiley, ISBN: 978-1394263554.
Professional course program offered through IEEE Learning Network focusing on the integration of edge AI technologies with advanced nanotechnology in semiconductor applications. Covers practical applications and emerging trends in the semiconductor industry.
Professional course program offered through IEEE Learning Network focusing on AI integration strategies for semiconductor manufacturing. Addresses AI-driven optimization, quality control, and automation in semiconductor fabrication processes.
The series adopts a pragmatic, methodical approach to AI processor education. By combining theoretical foundations with hands-on insights, participants will develop a nuanced understanding of processor architectures, design principles, and implementation strategies. Each course builds upon the previous one, creating a comprehensive learning pathway that addresses the multifaceted nature of AI processing technologies.
Programmes designed and coordinated for working professionals, industry, and international participants through the Continuing Education Programme (CEP), IIT Delhi, and Government of India initiatives. Delivered live-online by IIT Delhi faculty and organised by the Centre for Sensors, Instrumentation and Cyber-Physical System Engineering (SeNSE).
A purpose-built programme for the next wave of AI, taking participants from autonomous agent foundations to production-grade enterprise deployment. Delivered live-online by IIT Delhi faculty, with hands-on exposure to 10+ industry-grade tools including LangChain, AutoGen, and CrewAI. Every module ends with a hands-on project, building towards a final enterprise capstone where participants design, build, and deploy a fully functional AI agent.
Schedule: Saturdays, 3:30 PM to 6:30 PM | Start: 26 September 2026 | Mode: Live-Online (eVIDYA)
Eligibility: Graduate or Diploma holder with a minimum of 1 year of work experience; basic Python and AI/ML familiarity recommended.
A systems-level programme that uniquely integrates sensor-rich cyber-physical systems with autonomous intelligence. Unlike conventional robotics programmes that treat AI and robotics separately, it emphasises device-to-system co-design, hardware-software confluence, and deployment-ready engineering, combining IIT Delhi research in sensor-rich cyber-physical systems, edge intelligence, hardware security, and indigenous chip design with rigorous hands-on training.
Schedule: Sundays, 9:00 AM to 12:00 PM | Start: 6 September 2026 | Mode: Live-Online (eVIDYA)
Eligibility: Graduate (B.Tech/BE/MSc/MCA/M.Tech) in EE, ECE, CSE, ME, Mechatronics, Instrumentation, Physics, or related fields with a minimum of 1 year of work experience.
An international capacity-building programme under the Indian Technical and Economic Cooperation (ITEC) initiative of the Ministry of External Affairs, Government of India, focused on Artificial Intelligence for Healthcare. The programme shares India's expertise in AI-driven healthcare technologies with participants from partner countries, covering applied AI, responsible deployment, and real-world healthcare use cases.
A customised Continuing Education Programme (CEP) / Quality Improvement Programme (QIP) on Agentic AI delivered for an industry partner, translating IIT Delhi research on autonomous agents, tool-augmented language models, multi-agent coordination, and retrieval-augmented generation (RAG) into applied, enterprise-focused training.
Students gain hands-on experience with production-grade platforms through industry partnerships with ARM, NVIDIA, Intel, AMD, Google Cloud, and AWS:
Seminar series exploring cutting-edge topics at the intersection of AI, hardware, and systems. Students engage with recent literature, implement proof-of-concept projects, and present findings.
Note: Topics reflect active research areas and hands-on experimentation with current frameworks. Students work directly with industry-standard platforms including NGC, ARM IP, and cloud infrastructure (Google Cloud, AWS). Emphasis on reproducible research and practical implementation.
Prof. Santhosh supervises PhD, MTech and BTech projects that connect materials, devices, instrumentation and system-level deployment. The lab supports hands-on training in instrumentation, automated testbeds, and reproducible measurement pipelines.
Lai Gan (University of Edinburgh)
Co-supervised with Dr. Ben Rowlinson and Prof. Themis Prodromakis on an AI-driven automated platform for memristor fabrication and characterization.
