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R03Research Domain · Reconfigurable SoCs & RISC-V

Edge Computing, RISC-V & FPGA System Design

FPGA prototyping, Microchip PolarFire SoC, AMD Xilinx Zynq/PYNQ-Z2, and indigenous C-DAC VEGA RISC-V system design at I²CS Research Lab, IIIT Kottayam, Kerala.

Domain Overview & Research Focus

The Edge Computing, RISC-V & FPGA System Design group at I²CS Lab, IIIT Kottayam prototypes complete hardware-software systems on state-of-the-art reconfigurable SoCs and indigenous RISC-V processors.

Our student and doctoral teams have won national 1st Place awards at the 39th International Conference on VLSI Design (VLSID 2026) Microchip Design Contest and 10th DVCon India by deploying real-time industrial automation, object detection, and fault-tolerant RISC-V architectures on Microchip PolarFire SoC, AMD Xilinx Zynq/PYNQ-Z2, and C-DAC VEGA platforms.

Key Research Subtopics & Methodologies

Microchip PolarFire SoC & RISC-V Subsystems

Deterministic real-time edge AI and industrial defect detection combining hardened 64-bit RISC-V application cores with low-power FPGA fabric.

AMD Xilinx Zynq / PYNQ-Z2 Reconfigurable Vision

High-frame-rate YOLO object detection, medical image segmentation, and hardware-accelerated video pipelines with AXI DMA streaming.

Indigenous C-DAC VEGA & Open-Source RISC-V Cores

Custom ISA extensions, peripheral integration, and embedded sensor fusion on India's indigenous VEGA RISC-V microprocessors.

Autonomous & Smart IoT Edge Nodes

Ultra-low-power sensor interfaces, piezoelectric energy harvesting power management, and real-time edge inference under tight energy budgets.

Sponsored Projects & Patents

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Patent Application

Edge-deployed defect detection system, processing circuitry, and method for industrial package sorting

App No: 202641119737 · Inventors: Joel Dan Philip, Amrut Ayan Gulawani, Shravan Narayan Sunil, Nalesh S, Kala S

Selected Publications (37)

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2027conference

Measuring Interface Observability for In-Field Fault Detection in RISC-V Cores

Alan Thomas Paul, Niranjan K S, Adithya Prabhu, Kevin Jose, Kala S, Nalesh S · 40th IEEE International Conference on VLSI Design and 26th International Conference on Embedded Systems (VLSID 2027), Jan 2-16, 2027, Bengaluru, India

2026conference

Convolution Architecture and Quantization Analysis for Brain MRI Tumour Image Processing on FPGA

Aswin S, Kala S · IEEE International Conference on Smart Electronics and Communication Systems (ISENSE), December 11-12, 2026, Kerala, India

2026conference

Accelerating CNN on FPGA for Real-time Object Detection in Defense Applications

Adithya Prabhu A, Kevin Jose, Kala S · 19th IEEE International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC 2026), Shanghai, China, December 14-17, 2026.

2026conference

Design and Hamiltonian Characterization of 4-Qubit Flip-Chip Transmon-Based Quantum Random Number Generator

Niranjan K S, Alan Thomas Paul, Prashamol Prakshan, Kala S, Nalesh S · IEEE Computer Society Annual Symposium on VLSI (ISVLSI) 2026, July 7-10, 2026, Kolkata, India

2026journal

Towards Implementing Compression and Decompression Techniques on FPGA for Deep Neural Networks

Aparna Nair M K, Kala S, Asif Muhammed, Nalesh S, Minu A Pillai, Akash Kumar · IETE Journal of Research, 2026 ( SCI Indexed , Impact Factor: 1.5)

2026chapter

Efficient Quantum Cryptography in Industrial IoT for Optimized Performance Energy and Resource Utilization

Prashamol Prakashan, Nalesh S, Kala S · Quantum Cryptography and Annealing for Securing Industrial IoT, Elsevier, pp 1-11, 2026. ISBN: 978-0-443-38349-6

2026conference

Hardware Implementation of Activation Functions for Neural Networks on FPGA

Remya R, Anand Narayana Gidthuri, Karri Shyam Chandra, Nalesh S, Kala S · IEEE International Conference on Recent Advances in Electronics, Communication, Computing, Automation, and Power (RECCAP 2026), May 2026, IIT Palakkad, Kerala.

2025conference

Quantized Residual CNN on FPGA for Real-Time Driver Attention Detection Using hls4ml

Joel Dan Philip, Asif Muhammed, Nalesh S, Kala S · 29th International Symposium on VLSI Design and Test (VDAT-2025), Chandigarh, August 7-9, 2025, India (Best Paper Award)

Dissertations & Theses

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phd · 2025Author: Sreelakshmi Raveendran

Analysis and Classification of Disorders of Consciousness Using Machine Learning Methods Based on Scalp EEG

Supervisor: Dr. Kala S

Lab Stories & Updates in this Domain

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