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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 Novel Method of Glottal Inverse Filtering by Sahoo, Subhasmita Routray, Aurobinda IEEE/ACM Transactions on Audio, Speech, and Language Processing vol. PP, IEEE - (2016)
A Fast and Accurate Algorithm for Eye Localization for Gaze Tracking in Low Resolution Images by George, Anjith Routray, Aurobinda IET Computer Vision vol. PP ,IET Digital Library - (2016)
Hyperspectral image preprocessing with bilateral filter for improving the classification accuracy of support vector machines. by Sahadevan, Anand S., Aurobinda Routray, Bhabani S. Das, and Saquib Ahmad ournal of Applied Remote Sensing vol. 10 , IEEE ,International Society for Optics and Photonics - (2016)
The Indian Spontaneous Expression Database for Emotion Recognition by Happy, S L Patnaik, Priyadarshi Routray, Aurobinda Guha, Rajlakshmi IEEE Transactions on Affective Computing vol. PP - (2015)
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)
A score level fusion method for eye movement biometrics by George, Anjith Routray, Aurobinda Pattern Recognition Letters Elsevier - (2015)
Assessment of Similarity Between Well Logs Using Synchronization Measures by Verma, Akhilesh K Routray, Aurobinda Mohanty, William K IEEE Geoscience and Remote Sensing Letters vol.11 ,IEEE 2032-2036 (2014)
A Novel Preprocessing Scheme to Improve the Prediction of Sand Fraction From Seismic Attributes Using Neural Networks by Chaki, Soumi Routray, Aurobinda Mohanty, William K IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing vol.8 ,IEEE 1808-1820 (2015)
Design of Smart Sprinkler Irrigation System EBIW Smartech Private Limited
Development of a Real Time Cognitive Sate Assessing System for Individuals Performance in different Environmental Scenarios/Context Institute of Nuclear Medicine and Allied Sciences, Defence Research and Development Organisation
Development of a Wireless Eye Wear for Continuous Monitoring of the Vigilance Level of Automotive Driver Titan Company Limted
Development of Signal Analysis System for Prediction of Cobble at HSM, RSP Steel Authority of India Ltd.
Historical evidence, myth and geophysical modeling to assess the tectonil movement and risks associated with Odisha coastal "Heritage" belt MHRD
IIT KGP and IIT BHU Joint Project: Micro/Pilot Projects Indian Institute of Technology Banaras Hindu University
Meditation App Development Using Feedback from Various Varanasi Meditation Traditions (Inclusive of an APP Sector Covering Harmony Centers & End-of-Life Philanthropy who are Supportive of these Traditions MHRD
Old age Homes in Varanasi: Exploring the Holistic Wellbeing of the Elderly and Financing Towards Developing a Sustainable and Integrated Model Indian Institute of Technology Banaras Hindu University
Opened & Intelligent Plug-in Hybrid Electric Vehicle (PHEV) Technologies for Smart Indian Cities Tata Motors Limited
REAL TIME EMBEDDED SYSTEMS LAB MHRD
SANDHI, Science -Technology & Culture - Heritage Interface by IIT Kharagpur MHRD
Signals & systems for life science MHRD
The effect of meditation, Pranayam and meditative sounds on the cognitive and emotional performance of human brain: a study using an integrated signal and image approach MHRD
Virtual Labs Phase II MHRD, Department of Higher Education, NMEICT, New Delhi
Ayan Mukherjee
Area of Research: Real Time Signal Processing
Anwesha Sengupta
Area of Research: Analysis of EEG Signals
Aritra Chaudhuri
Area of Research: EEG Signal Processing
Devasish Basu
Area of Research: Diagnostics and Prognostics
Samiran Das
Area of Research: Hyperspectral Image Processing
Laxmi Shaw
Area of Research: Mathematical Signal Processing
Arunava Naha
Area of Research: Fault Diagnosis and Prognosis using Statistical and Intelligent Signal Processing
Rajashree Biswas
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
Anirban Dasgupta
Area of Research: Computer Vision for Human Monitoring
Saswata Satpathi
Area of Research: Signal Processing
Subhasmita Sahoo
Area of Research: Audiovisual Signal Processing
S L Happy
Area of Research: Image Processing
Soumi Chaki
Area of Research: Signal Processing
Ramanarayan Mohanty
Area of Research: Numerical Methods and High Performance Computing
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
Goutam Banerjee
Area of Research: Fault Diagnosis in Power Systems
Arvind Kumar Gupta
Area of Research: Embedded Systems Design
Suvodip Chakraborty
Area of Research: EEG Signal Processing
