Home > Academics > Academic Units > Departments > Electrical Engineering > Aurobinda Routray
Professor
Electrical Engineering
Prof Aurobinda Routray has expertise in the area of signal processing and embedded systems. His research group team consists of about 25 research scholars (PhD & MS) working in algorithms and systems. They have over 100 international journals, several international conference papers with 5 patents. The primary focus of the group is to develop fast and accurate algorithms for signal detection, classification, information retrieval and then implementation on portable platforms. Many of the lab-models were converted to product prototypes. The major research interests are:
1. Human Monitoring:
The research group is developing devices for monitoring alertness, sleep, emotion, aggression etc. using EEG, ECG, EGG, voice, facial-thermal images, respiration rate and various psycho-motor scores. Several health monitoring devices are being developed which are standardized by experiments where multitude of signals are simultaneously collected from participants to validate each other for a particular condition. Some of the prototypes are: (a) Driver Drowsiness Detection System (b) Driver Drowsiness Detection Device (c)Operator Drowsiness Detection Device (d) Go-no-Go System (e) Portable Wireless Go-no-Go System (f) Unobtrusive Go-no-Go System (g) RADAR sleep (h) Pressure Sleep (i) Thermo Sleep. The research group is actively involved in studying the effect of meditation on the cognitive and emotional performance of human brain using an integrated signal and image based approach. Several multi-modal databases have been created which have been analyzed and reported.
2. Machine Diagnostics and Prognostics:
Using similar signal processing and analytic methods one of the research groups have developed a very novel system for diagnosis of very weak failure modes in Induction Motor drives. It has been converted into an IoT based networked diagnosis system for a typical industrial environment with many motors.
3. Other Products:
The group is also developing smart-meters, underground cable fault detectors, spark detection systems, portable hygiene monitors, city garbage monitors etc.
A Method for Detecting Half Broken Rotor Bar in lightly loaded Induction Motors using Current by Naha, Arunava Samanta, Anik Kumar Routray, Aurobinda Deb, Alok Kanti IEEE Transactions on Instrumentation and Measuremen vol.65 ,IEEE 1614-1625 (2015)
Study of feature combination using HMM and SVM for multilingual Odiya speech emotion recognition by Swain, Monorama Sahoo, Subhasmita Routray, Aurobinda Kabisatpathy, P Kundu, Jogendra N International Journal of Speech Technology vol.18 ,Springer 387-393 (2015)
Automatic Facial Expression Recognition Using Features of Salient Facial Patches by Happy, SL Routray, Aurobinda IEEE transactions on Affective Computing vol.6 , IEEE 1-12 (2015)
Serum Metabolic Profiling for Potential Biomarkers Identification of Oral Lichen Planus Science and Engineering Research Board (SERB)
Fault Mapping and Facies Prediction using BIG Data Analytics GEOPIC, ONGC
Improving Accuracy in Event Location for the Gauribidanur Seismic Array Department of Atomic Energy (DAE)
Real Time Monitoring and Embedded Analytics for Quality Traceability on Cold Chains for Sea Export of Agricultural Produce (IMPRINT-2) Science and Engineering Research Board (SERB)
Integrated Information System and Knowledge Discovery Platform for ONGC Oil and Natural Gas Corporation Limited
Opened & Intelligent Plug-in Hybrid Electric Vehicle (PHEV) Technologies for Smart Indian Cities (UAY_I_IITKGP_019) Ministry of Heavy Industries and Public Enterprises, GoI
Virtual Labs Phase II MHRD, Department of Higher Education, NMEICT, New Delhi
Devasish Basu
Area of Research: Diagnostics and Prognostics
Anupama Deo
Area of Research: Embedded Systems on Chip Design
Shubhobrata Bhattacharya
Area of Research: Real Time Vision Algorithms for Human Monitoring
Laxmi Kant Tiwari
Area of Research: Embedded Systems for Human Monitoring
Supriyo Chakraborty
Area of Research: Pattern Recognition in Medical Imaging
Saswata Satpathi
Area of Research: Signal Processing
Meghabriti Pramanik
Area of Research: Statistical Signal Analysis
Anik Kumar Samanta
Area of Research: Signal Processing Applications
Anushree Basu
Area of Research: Multi-spectral Image Processing and Human Monitoring
Arpita Mondal
Area of Research: Diagnostics and Prognostics of Battery Systems
Teja Mannepalli
Area of Research: biomedical signal processing
Mohamed Ismail Yasar Arafath K
Area of Research: Signal Processing
Suparna Rooj
Area of Research: Image processing
Tanmoy Kanti Sahoo
Area of Research: IoT based food quality analyzer
Vrinda Prajapati
Area of Research: Study of Stress and Anxiety in the elderly persons
Saptarshi Pal Chaudhuri
Area of Research: Diagnostics and Prognostics in HEV
Mahadik Rahul Annasaheb
Area of Research: Signal Processing and Embedded Systems
Ishita Sar
Area of Research: Safety Analytics
Satyajit Nayak
Area of Research: Data Analytics for Quality
Arvind Kumar Gupta
Area of Research: Machine Learning and Internet of Things
Suvodip Chakraborty
Area of Research: Direction of Arrival Estimation
Ritesh Chandra Tewari
Area of Research: Human Computer Interface
Patitapaban Palo
Area of Research: Big Data Analtyics
Ratnakar Nutenki
Area of Research: Power System
Gagandeep Singh
Area of Research: Geophysical Exploration
N Sai Prasanna
Area of Research: food quality and storage study
Deepan Datta
Area of Research: Seismic Data Analysis
Pooja Kumawat
Area of Research: Signal Processing
Sourav Bagchi
Area of Research: Supply chain automation
Swarnali Chaudhuri
Area of Research: Petrophysical Data Analysis using Evolutionary Algorithms.
Prachi Joshi
Area of Research: Human Monitoring
Samya Deb Bhattacharya
Area of Research: AI enabled Sensor Swarms
Satarupa Uttarkabat
Area of Research: Human Monitoring
Goutam Banerjee
Area of Research: Fault Diagnosis in Power Systems
Sanket Smarak Panda
Area of Research: Signal Processing
Tiash Ghosh
Area of Research:
Ratul Kishore Saha
Area of Research:
Subhadeep Bardhan
Area of Research: Supply chain automation
