Indian Institute of Information Technology (IIIT) Kottayam logoIndian Institute of Information Technology Kottayam

R06Research Domain · Healthcare AI, Vision & Smart Agriculture

Intelligent Systems, Biomedical AI & Smart Sensing

Applied research in biomedical signal processing (Scalp EEG, ECG), point-of-care medical devices, medicinal leaf adulteration datasets (DADML), and edge computer vision at I²CS Lab, IIIT Kottayam.

Domain Overview & Research Focus

The Intelligent Systems group at I²CS Research Lab, IIIT Kottayam combines machine learning, signal processing, and custom embedded hardware to solve high-impact challenges in healthcare diagnostics, assistive technology, smart agriculture, and sustainable energy harvesting.

Flagship outcomes include IIIT Kottayam's first ECE Ph.D. dissertation on Scalp EEG-based classification of Disorders of Consciousness, an Indian Patent filing (App. No. 202641119737) for non-invasive point-of-care screening, the open-access DADML medicinal plant dataset (DOI: 10.17632/b7wvxmscp7.1) funded by IIT Palakkad IPTIF (DST NM-ICPS), and reinforcement-learning-optimized piezoelectric vibration energy harvesters.

Key Research Subtopics & Methodologies

Biomedical Signal Processing & Neuro-AI (EEG / ECG)

Machine learning and deep neural architectures for automated analysis of Scalp EEG in Disorders of Consciousness (DoC), seizure detection, and wearable cardiac monitoring.

Point-of-Care Diagnostics & Smart Healthcare Devices

Non-invasive multi-sensor hardware prototypes and edge-AI algorithms for early clinical screening and rural healthcare deployment.

Hyperspectral / Visual Inspection & Open Datasets (DADML)

Deep learning for agricultural quality grading, industrial defect rejection, and curated open benchmark datasets such as DADML.

Piezoelectric MEMS & Self-Powered Sensor Systems

Finite-element modeling and reinforcement-learning optimization of cantilever vibration energy harvesters for battery-free IoT nodes.

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

Completed Project

An Efficient Sparse Matrix-Vector Multiplier architecture for deep learning

Agency: Kerala State Council for Science, Technology and Environment (KSCSTE) · Grant: 0.10 Lakhs

Completed Project

Hardware Acceleration of Bandwidth and Energy Efficient Deep Learning Architecture

Agency: Technology Development Grant from IIT Palakkad Technology Innovation Hub Foundation (IPTIF) under the National Mission on Interdisciplinary Cyber Physical Systems (NM-ICPS) DST, Govt of India. Technology Development grant no. IPTIF/HRD/DF/020/SEP43 · Grant: 18.14 Lakhs

Selected Publications (38)

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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

2026chapter

In Memory Computing Using Memristors

G H V S M Soma Sai, P Ramakrishna, Kala S, Nalesh S · In book: VLSI Design for Artificial Intelligence and Machine Learning Applications, Edition: 1 Publisher: Wiley, 2026 DOI: 10.1002/9781394390274.ch15 (Scopus Indexed)

[DOI/Link →]
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.

2026journal

Multi-mode Index Modulation based on Affine Frequency Division Multiplexing

Anoop A, Christo K Thomas, Kala S, J.V. Bibal Benifa, Walid Saad · Physical Communication, Elsevier, 2026, 103059, ISSN 1874-4907, https://doi.org/10.1016/j.phycom.2026.103059. ( SCI Indexed , Impact Factor: 2.0)

2026conference

Variational Bayesian Detection for Quantized AFDM Systems

Anoop A, Christo K Thomas, J V Bibal Benifa, Kala S · 2026 IEEE Wireless Communications and Networking Conference (WCNC), 13-16 April 2026, Malaysia.

2026conference

Low-Complexity VAMP Detector for Affine Frequency Division Multiplexing Systems

Anoop A, Christo K Thomas, J V Bibal Benifa, Kala S · 2026 IEEE Wireless Communications and Networking Conference (WCNC), 13-16 April 2026, Malaysia.

2026conference

Multi-Path Bayesian Inference for Symbol Detection in Affine Frequency Division Multiplexing

Anoop A, Christo K Thomas, J V Bibal Benifa, Kala S · 32nd National Conference on Communications (NCC) 2026, Feb 26 - March 1, 2026, Hyderabad, India

Dissertations & Theses

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phd · 2026Author: Anoop A

Design and Performance Analysis of Index-Modulated Affine Frequency Division Multiplexing Waveforms Using Variational Bayesian and Message Passing Frameworks

Supervisor: Dr. Kala S

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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