Indian Institute of Technology Palakkad&nbsp;(IIT Palakkad or IIT PKD) is a public autonomous&nbsp;engineering&nbsp;and&nbsp;research&nbsp;institute located in&nbsp;Palakkad,&nbsp;Kerala. It was&nbsp;one of the five new&nbsp;IITs&nbsp;proposed in the&nbsp;2014 Union budget of India. The campus was inaugurated on 3 August 2015. The institute has 94 faculty, 978 students, and 63 non-teaching staffs.

IT Palakkad currently offers four-year Bachelor of Technology (B.Tech) and two years MS programmes in 8 different engineering disciplines including&nbsp;Computer Science, Electrical, Mechanical, Civil among others.

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IIT Palakkad

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Department of Electrical Engineering

Fulltext

IEEE Transactions on Electron Devices

2020 Index IEEE Transactions on Electron Devices Vol. 67

The COVID-19 pandemic has accelerated the need for automatic triaging and summarization of ultrasound videos for fast access to pathologically relevant information in the Emergency Department and lowering resource requirements for telemedicine. In this work, a PyTorch based unsupervised reinforcement learning methodology which incorporates multi feature fusion to output classification labels, segmentation maps and summary videos for lung ultrasound is presented. The use of unsupervised training eliminates tedious manual labeling of key-frames by clinicians opening new frontiers in scalability in training using unlabeled or weakly labeled data. Our approach was benchmarked against expert clinicians from different geographies displaying superior Precision and F1 scores (over 80% and 44%).

Software Impacts

vid-SAMGRAH: A PyTorch framework for multi-latent space reinforcement learning driven video summarization in ultrasound imaging

Localized plasmon resonance in metallic nanoparticles can enable polarization-dependent electric field enhancement. Semiconducting monolayers are used in conjunction with polarization-sensitive plasmonic structures, to maximize the field overlap and promote polarization-sensitive photon detection. © OSA 2021, © 2021 The Author(s)

Optics InfoBase Conference Papers

Polarization sensitive photodetection using semiconducting monolayers

This study aims to enhance the accuracy and reliability of the Global Ensemble Forecast System's (GEFS) precipitation forecasts over the Indian subcontinent using two post-processing techniques, namely the Analog method (AN) and Logistic Regression method (LR). The post-processing techniques and GEFS Numerical Weather Prediction Model (NWP) outputs were evaluated against the observed dataset using probabilistic and deterministic evaluation metrics. Results found that both the methods considerably improves short range to medium range (1-15 day) precipitation forecasts over India. Overall results showed that both the methods perform poorly during the monsoon seasons compared to other seasons. Basin analysis showed that both the methods underperform in the Western Ghats, while the performance is comparable and decent in other parts of India. Analysis of precipitation at different terciles showed that both the AN and LR methods underperforms at higher terciles compared to the lower ones. This is because the GEFS model itself was performing poorly in detecting the heavy precipitation events. The comparison of logistic regression and analog methods shows that the LR method outperforms the AN method in almost all the locations and lead times.

Department of Civil Engineering

American Geophysical Union, Fall Meeting 2020

Improving short to medium range GEFS precipitation forecasts in India using post-processing techniques

The choice of reference evapotranspiration (ETo) estimation methods and general circulation model (GCM) are crucial for projecting water deficit under a changing climate. Standardized Precipitation Evapotranspiration Index (SPEI) derived from water deficit also varies with the choice of GCM and ETo estimation methods. In this study a variance-based global sensitivity analysis was used to estimate relative sensitivity of projected changes in future water deficit (P-ETo) and SPEI to the choice of GCM and ETo estimation methods over parts of the Indian subcontinent. For evaluating the change in water deficit and droughts, 7 GCMs and 11 ETo methods were analyzed for two distinct periods i.e. 2030-2060 and 2070-2100 compared to the baseline (1951-1980). The 11 ETo methods were grouped into 4 major categories namely based on temperature, radiation, mass transfer and combination methods. Moreover, based on the ETo categories, a non-parametric Mann-Whitney was performed to quantify robust changes under a warming climate. Results show that changes in future water deficit and droughts varies with regions and seasons. Overall, changes in water deficit droughts are more inclined to the choice of ETo method, while the GCM-ETo interaction effects are more prominent in some regions. Results also showed that within an individual ETo category, individual ETo methods do not necessarily agree on the magnitude/direction of change in projecting water deficit and SPEI for future conditions. This has important implications towards selection of appropriate ETo estimation for drought analysis in data scarce regions under a changing climate. Results of this study indicate, the role of proper ensemble formation of GCMs and ETo estimation methods based on seasons and regions, to develop a robust range of future conditions for water resources planning.

Uncertainty in Future Projections of Water Deficit Droughts Based on Evapotranspiration Methods in the Indian Subcontinent

A new hyper-crosslinked 4-amino-1,8-naphthalimide Tröger’s base containing pyridinium covalent organic polymer, TBNap-COP, was synthesised and employed as a ‘turn-off’ fluorescent chemosensor for nitroaromatic explosives. TBNap-COP was synthesised in quantitative yield using a one-step nucleophilic substitution reaction between a dipyridyl scaffold (TBNap, bis-[N-(2-(pyridine-4-yl)ethyl)]-9,18-methano-1,8-naphthalimide-[b,f][1,5]diazocine) and 1,3,5-tris(bromomethyl)benzene by heating in DMF for 3&nbsp;days. The formation and phase-purity of TBNap-COP were fully characterised by using various spectroscopic and microscopy analyses. The suspension of TBNap-COP in water showed strong fluorescence emission characteristics owing to the ‘push-pull’ based ICT transition and it was used as a fluorescent sensor for discriminative detection of nitroaromatic explosives. TBNap-COP displayed selective fluorescence quenching responses for phenolic-nitroaromatics, with particularly high sensitivity for picric acid which is a powerful secondary chemical explosive and a harmful environmental pollutant widely used in the dye industries.

Department of Chemistry

Supramolecular Chemistry

Hyper-crosslinked 4-amino-1,8-naphthalimide Tröger’s base containing pyridinium covalent organic polymer (COP) for discriminative fluorescent sensing of chemical explosives

The current study analyzes the changes in the climate pattern of Bharathapuzha river basin in Kerala, India, which experiences a significant imbalance in water availability since 1990. The analysis of the climatic variables shows that there are three climatic zones existing in the basin. The trend in the historic climatic variables is estimated using the non-parametric Mann-Kendall test and the Sen slope analysis. A discrete wavelet analysis is also performed to separate only the long period component of the signal, and its trend is also studied. A significant decreasing trend is observed in the rainfall. However, a monotonous long-term increasing trend is detected for monthly average temperatures and monthly minimum temperatures. The sequential Mann-Kendall test result shows a significant change in the climatic pattern after 1980. The rainfall effectiveness of the basin is analyzed using indices. A drought analysis is also conducted using Standardized Precipitation Index (SPI) in different time scales since climatic zones 2 and 3 in the catchment are drought-prone areas in recent years. A detailed analysis on the existence of climate change in this region is conducted for the first time. These results can be further used for planning and development of climate change adaptation policies for the basin.&nbsp;

Theoretical and Applied Climatology

Long-term changes in climatic variables over the Bharathapuzha river basin, Kerala, India

International Conferences

Removal and recovery of nutrients and simultaneous generation of electricity from urine

Emerging reports show that severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection precedes the appearance of various autoimmune and autoinflammatory diseases, including paediatric inflammatory multisystemic syndrome (PIMS) or multisystem inflammatory syndrome in children (MIS-C), thus adding to the growing mystery of this virus and raising questions about the nature of its link with autoimmune and autoinflammatory sequelae.