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Dr. Binoy B. Nair

Associate Professor

Dr. Binoy B. Nair currently serves as Assistant Professor (Selection Grade) at the Department of Electronics and Communication Engineering, Amrita School of Engineering, Coimbatore Campus.

Qualification: M.Tech, Ph.D
b_binoy@cb.amrita.edu
Research Interest: Applications of Data Analytics in Condition Monitoring, Smart Grids, Video Content Analysis & Finance

Bio

Dr. Binoy B. Nair currently serves as Assistant Professor (SG) at the Department of Electronics and Communication Engineering, Amrita School of Engineering, Coimbatore Campus. He has been with Amrita Vishwa Vidyapeetham since 2007. He received his PhD in Electronics and Communication Engineering and M.Tech in Power Electronics from Amrita Vishwa Vidyapeetham, Coimbatore in 2015 and 2006 respectively. He completed his B.Tech. in Instrumentation and Control Engineering from Calicut University in 2004.

His current research interests include applications of Machine Learning/AI in condition monitoring, Advanced Driver Assistance Systems (ADAS) and finance.

Publications

Journal Article

Year : 2019

Classifier Based Stock Trading Recommender Systems for Indian stocks: An Empirical Evaluation

Authors : Dr. Binoy B. Nair, Dr. (Col.) Kumar P. N., V. Vismayaa, Pooja, K. R., Alekhya, A., and Malavika, C. N.

Publisher : Computational Economics

V. Vismayaa, Pooja, K. R., Alekhya, A., Malavika, C. N., Dr. Binoy B. Nair, and Dr. (Col.) Kumar P. N., “Classifier Based Stock Trading Recommender Systems for Indian stocks: An Empirical Evaluation”, Computational Economics, 2019.

Year : 2019

A deep learning approach to electric energy consumption modeling

Authors : Dr. Binoy B. Nair, A. J. Balaji, and Ram, D. S. Harish

Publisher : IOS Press

A. J. Balaji, Ram, D. S. Harish, and Dr. Binoy B. Nair, “A deep learning approach to electric energy consumption modeling”, Journal of Intelligent and Fuzzy Systems, vol. 36, pp. 4049-4055, 2019.

Year : 2017

Clustering stock price time series data to generate stock trading recommendations: An empirical study

Authors : Dr. Binoy B. Nair, Dr. Sakthivel N. R., Kumar, P. K. Saravana, and Vipin, U.

Publisher : Expert Systems with Applications

Dr. Binoy B. Nair, Kumar, P. K. Saravana, Dr. Sakthivel N.R., and Vipin, U., “Clustering stock price time series data to generate stock trading recommendations: An empirical study”, Expert Systems with Applications, vol. 70, pp. 20 - 36, 2017.

Year : 2017

Application of clustering techniques for video summarization – An empirical study

Authors : Dr. Binoy B. Nair, A. A. John, and Kumar, P. N.

Publisher : Advances in Intelligent Systems and Computing, Springer Verlag

A. A. John, Dr. Binoy B. Nair, and Kumar, P. N., “Application of clustering techniques for video summarization - An empirical study”, Advances in Intelligent Systems and Computing, vol. 573, pp. 494-506, 2017.

Year : 2016

Effect of kernel function in support vector machine for the fault diagnosis of pump

Authors : Dr. Sakthivel N. R., Dr. Saravana Murugan S., Dr. Binoy B. Nair, Dr. Elangovan M., Sugumaran, V.

Publisher : Journal of Engineering Science and Technology

Dr. Sakthivel N.R., Saravanamurugan, S., Dr. Binoy B. Nair, Elangovan, M., and Sugumaran, V., “Effect of Kernel Function in Support Vector Machine for the Fault Diagnosis of Pump”, Journal of Engineering Science and Technology, vol. 11, pp. 826-838, 2016.

Year : 2016

Forecasting Short-Term Stock Prices using Sentiment Analysis and Artificial Neural Networks

Authors : Dr. Binoy B. Nair, Dr. (Col.) Kumar P. N., R., P. Sidharth, Mudra, S. Lopa, Vijayalakshmi, K., Sai, G. R., and J., R

Publisher : Journal of Chemical and Pharmaceutical Sciences

Dr. Binoy B. Nair, “Forecasting short-term stock prices using sentiment analysis and Artificial Neural Networks”, Journal of Chemical and Pharmaceutical Sciences , vol. 9, no. 1, pp. 533 - 536, 2016.

Year : 2015

Artificial intelligence applications in financial forecasting-a survey and some empirical results

Authors : Dr. Binoy B. Nair, Mohandas, V. P.

Publisher : IOS Press

Dr. Binoy B. Nair and Mohandas, V. P., “Artificial intelligence applications in financial forecasting-a survey and some empirical results”, Intelligent Decision Technologies, vol. 9, pp. 99-140, 2015.

Year : 2015

An intelligent recommender system for stock trading

Authors : Dr. Binoy B. Nair, Mohandas, V. P.

Publisher : IOS Press

Dr. Binoy B. Nair and Mohandas, V. P., “An intelligent recommender system for stock trading”, Intelligent Decision Technologies, vol. 9, pp. 243–269, 2015.

Year : 2015

Acoustic Signature Based Weld Quality Monitoring for SMAW Process Using Data Mining Algorithms

Authors : Dr. Binoy B. Nair, Dr. Ramesh Kumar K., Sumesh A., Dinu Thomas Thekkuden, K. and K. Mohandas

Publisher : Trans Tech Publications

A. Sumesh, Dinu Thomas Thekkuden, Dr. Binoy B. Nair, K. Ramesh Kumar, and K. Mohandas, “Acoustic Signature Based Weld Quality Monitoring for SMAW Process Using Data Mining Algorithms”, Applied Mechanics and Materials , vol. 813-814, pp. 1104-1113, 2015.

Year : 2015

GA-wavelet based multi-patient heart sound monitoring system

Authors : Dr. Binoy B. Nair

Publisher : International Journal of Applied Engineering Research

Dr. Binoy B. Nair, “GA-wavelet based multi-patient heart sound monitoring system”, International Journal of Applied Engineering Research, vol. 10, pp. 37469 - 37473, 2015.

Year : 2015

A Stock Trading Recommender System Based on Temporal Association Rule Mining

Authors : Dr. Binoy B. Nair, MOHANDAS, V. P., Nayanar, N., Teja, E. S. R., Vigneshwari, S., and Teja, K. V. N. S.

Publisher : SAGE Publications

Dr. Binoy B. Nair, MOHANDAS, V. P., Nayanar, N., Teja, E. S. R., Vigneshwari, S., and Teja, K. V. N. S., “A Stock Trading Recommender System Based on Temporal Association Rule Mining”, SAGE Open, vol. 5, 2015.

Year : 2014

Comparison of Dimensionality Reduction Techniques for the Fault Diagnosis of Mono Block Centrifugal Pump Using Vibration Signals

Authors : Dr. Sakthivel N. R., Dr. Binoy B. Nair, Dr. Saravana Murugan S., Dr. Elangovan M., and Sugumaran, V.

Publisher : Engineering Science and Technology

Dr. Sakthivel N.R., Dr. Binoy B. Nair, Dr. Elangovan M., Sugumaran, V., and Saravanamurugan, S., “Comparison of Dimensionality Reduction Techniques for the Fault Diagnosis of Mono Block Centrifugal Pump Using Vibration Signals”, Engineering Science and Technology, an International Journal, vol. 17, pp. 30 - 38, 2014.

Year : 2014

A GA-optimized SAX-ANN based Stock Level Prediction System

Authors : Dr. Binoy B. Nair, Xavier, N., Mohandas, V. P., Sathyapal, A., Anusree, E. G., Kumar, P., and Ravikumar, V.

Publisher : International Journal of Computer Applications

Dr. Binoy B. Nair, Xavier, N., Mohandas, V. P., Sathyapal, A., Anusree, E. G., Kumar, P., and Ravikumar, V., “A GA-optimized SAX-ANN based Stock Level Prediction System”, International Journal of Computer Applications, vol. 106, 2014.

Year : 2013

A temporal association rule mining based decision support system for stock trading

Authors : Dr. Binoy B. Nair, Mohandas, V. P., Varun, G., Chaitanya, I., K Krishna, S., S Karthik, M., and B Kumar, J. Vishnu

Publisher : International Research Journal of Finance and Economics

Dr. Binoy B. Nair, Mohandas, V. P., Varun, G., Chaitanya, I., K Krishna, S., S Karthik, M., and B Kumar, J. Vishnu, “A temporal association rule mining based decision support system for stock trading”, International Research Journal of Finance and Economics, vol. 117, pp. 67–79, 2013.

Year : 2012

Application of standalone system and hybrid system for fault diagnosis of centrifugal pump using time domain signals and statistical features

Authors : Dr. Sakthivel N. R., Dr. Binoy B. Nair, V., S., and Roy, R.

Publisher : International Journal of Data Mining, Modelling and Management

Dr. Sakthivel N.R., Dr. Binoy B. Nair, V., S., and Roy, R., “Application of standalone system and hybrid system for fault diagnosis of centrifugal pump using time domain signals and statistical features”,  International Journal of Data Mining Modelling and Management, vol. 4, no. 1, pp. 74 - 104, 2012.

Year : 2012

Automatic rule learning using roughset for fuzzy classifier in fault categorization of mono-block centrifugal pump

Authors : Dr. Sakthivel N. R., Dr. Binoy B. Nair, .; V. Sugumaran;

Publisher : Applied Soft Computing

Dr. Sakthivel N.R., Sugumaran, V., and Dr. Binoy B. Nair, “Automatic rule learning using roughset for fuzzy classifier in fault categorization of mono-block centrifugal pump”, Applied Soft Computing, vol. 12, no. 1, pp. 196 - 203, 2012

Year : 2012

Soft computing approach to fault diagnosis of centrifugal pump

Authors : Dr. Sakthivel N. R., Dr. Binoy B. Nair, Sugumaran, V.

Publisher : Applied Soft Computing

Dr. Sakthivel N.R., Dr. Binoy B. Nair, and Sugumaran, V., “Soft computing approach to fault diagnosis of centrifugal pump”, Applied Soft Computing, vol. 12, pp. 1574 - 1581, 2012.

Year : 2011

A GA-artificial neural network hybrid system for financial time series forecasting

Authors : Dr. Binoy B. Nair, Sai, S. G., Naveen, A. N., Lakshmi, A., Venkatesh, G. S., and Mohandas, V. P.

Publisher : Communications in Computer and Information Science

Dr. Binoy B. Nair, Sai, S. G., Naveen, A. N., Lakshmi, A., Venkatesh, G. S., and Mohandas, V. P., “A GA-artificial neural network hybrid system for financial time series forecasting”, Communications in Computer and Information Science, vol. 147 CCIS, pp. 499-506, 2011.

Year : 2011

Predicting stock market trends using hybrid ant-colony-based data mining algorithms: an empirical validation on the Bombay Stock Exchange

Authors : Dr. Binoy B. Nair, Dr. Sakthivel N. R., Mohandas, V. P.

Publisher : International Journal of Business Intelligence and Data Mining

Dr. Binoy B. Nair, Mohandas, V. P., and Dr. Sakthivel N.R., “Predicting stock market trends using hybrid ant-colony-based data mining algorithms: an empirical validation on the Bombay Stock Exchange”, International Journal of Business Intelligence and Data Mining, vol. 6, pp. 362-381, 2011.

Year : 2011

Decision support system using artificial immune recognition system for fault classification of centrifugal pump

Authors : Dr. Sakthivel N. R., Dr. Binoy B. Nair, Sugumaran, V., and Rai, R. S.

Publisher : International Journal of Data Analysis Techniques and Strategies

Dr. Sakthivel N.R., Dr. Binoy B. Nair, Sugumaran, V., and Rai, R. S., “Decision support system using artificial immune recognition system for fault classification of centrifugal pump”, International Journal of Data Analysis Techniques and Strategies, vol. 3, pp. 66-84, 2011.

Year : 2011

A Novel Feature Selection method for Fault Detection and Diagnosis of Control Valves

Authors : Dr. Binoy B. Nair, Preetam, M. T. Vamsi, Panicker, V. R., Kumar, G., and Tharanya, A.

Publisher : Citeseer

Dr. Binoy B. Nair, Preetam, M. T. Vamsi, Panicker, V. R., Kumar, G., and Tharanya, A., “A Novel Feature Selection method for Fault Detection and Diagnosis of Control Valves”, International Journal of Computer Science Issues, 2011.

Year : 2011

Use of histogram features for decision tree-based fault diagnosis of monoblock centrifugal pump

Authors : Dr. Sakthivel N. R., Dr. Binoy B. Nair, Indira, V., and Sugumaran, V.

Publisher : International Journal of Granular Computing, Rough Sets and Intelligent Systems

Dr. Sakthivel N.R., Indira, V., Dr. Binoy B. Nair, and Sugumaran, V., “Use of histogram features for decision tree-based fault diagnosis of monoblock centrifugal pump”, International Journal of Granular Computing, Rough Sets and Intelligent Systems, vol. 2, pp. 23-36, 2011.

Year : 2010

Comparison of decision tree-fuzzy and rough set-fuzzy methods for fault categorization of mono-block centrifugal pump

Authors : Dr. Sakthivel N. R., Dr. Binoy B. Nair, Sugumaran, V

Publisher : Mechanical Systems and Signal Processing

Dr. Sakthivel N.R., Sugumaran, V., and Dr. Binoy B. Nair, “Comparison of decision tree-fuzzy and rough set-fuzzy methods for fault categorization of mono-block centrifugal pump”, Mechanical Systems and Signal Processing, vol. 24, pp. 1887 - 1906, 2010.

Year : 2010

Application of Support Vector Machine (SVM) and Proximal Support Vector Machine (PSVM) for fault classification of monoblock centrifugal pump

Authors : Dr. Sakthivel N. R., Dr. Binoy B. Nair, V. Sugumaran

Publisher : International Journal of Data Analysis Techniques and Strategies

Dr. Sakthivel N.R., Sugumaran, V., and Dr. Binoy B. Nair, “Application of Support Vector Machine (SVM) and Proximal Support Vector Machine (PSVM) for fault classification of monoblock centrifugal pump”, International Journal of Data Analysis Techniques and Strategies, vol. 2, pp. 38-61, 2010.

Year : 2010

A genetic algorithm optimized decision tree-SVM based stock market trend prediction system

Authors : Dr. Binoy B. Nair, Dr. Sakthivel N. R., Dr. Mohandas V. P.

Publisher : International Journal on Computer Science and Engineering

Dr. Binoy B. Nair, Mohandas, V. P., and Dr. Sakthivel N.R., “A genetic algorithm optimized decision tree-SVM based stock market trend prediction system”, International Journal on Computer Science and Engineering, vol. 2, pp. 2981–2988, 2010.

Year : 2010

A decision tree—rough set hybrid system for stock market trend prediction

Authors : Dr. Binoy B. Nair, Dr. Sakthivel N. R., Mohandas, V. P.

Publisher : International Journal of Computer Applications, International Journal of Computer Applications

Dr. Binoy B. Nair, Mohandas, V. P., and Dr. Sakthivel N.R., “A decision tree—rough set hybrid system for stock market trend prediction”, International Journal of Computer Applications, vol. 6, pp. 1–6, 2010.

Conference Paper

Year : 2021

Sensor-Based Grip Strength Monitoring System for Stroke Rehabilitation

Authors : Dr. Binoy B. Nair, Dr. T. Rajagopalan, Sai Krishna, M. N. S. S. Ch.;Monesh Karthikkeyan, B. A

Publisher : Springer Singapore

M. N. S. S. C. Krishna, Karthikkeyan, B. A. Monesh, Nair, B. B., and Dr. T. Rajagopalan, “Sensor-Based Grip Strength Monitoring System for Stroke Rehabilitation”, in Advances in Electrical and Computer Technologies, Singapore, 2021.

Year : 2019

A Machine Learning Based Approach to Driver Drowsiness Detection

Authors : Dr. Binoy B. Nair, S. Misal

Publisher : Springer Singapore

S. Misal and Dr. Binoy B. Nair, “A Machine Learning Based Approach to Driver Drowsiness Detection”, in Information, Communication and Computing Technology, Singapore, 2019, vol. 835, pp. 150-159.

Year : 2019

A Novel Traffic Sign Recognition System Combining Viola–Jones Framework and Deep Learning

Authors : Dr. Binoy B. Nair, A. Jose, and Thodupunoori, H.

Publisher : Springer Singapore

A. Jose, Thodupunoori, H., and Dr. Binoy B. Nair, “A Novel Traffic Sign Recognition System Combining Viola–Jones Framework and Deep Learning”, in Soft Computing and Signal Processing, Singapore, 2019, vol. 900, pp. 507-517.

Year : 2019

An Improved Driver Assistance System for Detection of Lane Departure Under Urban and Highway Driving Conditions

Authors : Dr. Binoy B. Nair, A. Vats

Publisher : Springer Singapore

A. Vats and Dr. Binoy B. Nair, “An Improved Driver Assistance System for Detection of Lane Departure Under Urban and Highway Driving Conditions”, in Information, Communication and Computing Technology, Singapore, 2019, vol. 835, pp. 31-43.

Year : 2018

Applicability of deep learning models for stock price forecasting an empirical study on bankex data

Authors : Dr. Binoy B. Nair, J. A. Balaji, and Ram, D. S. Harish

Publisher : Elsevier B.V.

J. A. Balaji, Ram, D. S. Harish, and Dr. Binoy B. Nair, “Applicability of deep learning models for stock price forecasting an empirical study on bankex data”, in Procedia Computer Science, 2018, vol. 143, pp. 947-953.

Year : 2017

Poster: Flood monitoring using Computer Vision

Authors : Dr. Binoy B. Nair, .; Rao, S.N.

Publisher : MobiSys 2017 - Proceedings of the 15th Annual International Conference on Mobile Systems, Applications, and Services

B. B. Nair and Rao, S. N., “Poster: Flood monitoring using Computer Vision”, in MobiSys 2017 - Proceedings of the 15th Annual International Conference on Mobile Systems, Applications, and Services, 2017, p. 165.

Year : 2017

Machine Learning Approaches to Electricity Consumption Forecasting in Automated Metering Infrastructure (AMI) Systems: An Empirical Study

Authors : Dr. Binoy B. Nair, J. A. Balaji, and Ram, D. S. Harish

Publisher : Cybernetics and Mathematics Applications in Intelligent Systems, Springer International Publishing

J. A. Balaji, Ram, D. S. Harish, and Dr. Binoy B. Nair, “Machine Learning Approaches to Electricity Consumption Forecasting in Automated Metering Infrastructure (AMI) Systems: An Empirical Study”, in Cybernetics and Mathematics Applications in Intelligent Systems, Cham, 2017, vol. 574, pp. 254-263.


Year : 2016

Modeling of Consumption Data for Forecasting in Automated Metering Infrastructure (AMI) Systems

Authors : Dr. Binoy B. Nair, J. A. Balaji, and Ram, D. S. Harish

Publisher : Springer International Publishing

J. A. Balaji, Ram, D. S. Harish, and Dr. Binoy B. Nair, “Modeling of Consumption Data for Forecasting in Automated Metering Infrastructure (AMI) Systems”, in Automation Control Theory Perspectives in Intelligent Systems, Cham, 2016, vol. 466, pp. 165-173.

Year : 2016

A low-cost wearable Indian sign language interpretation system

Authors : Dr. Binoy B. Nair, A. K. Singh, John, B. P., Subramanian, S. R. V., and Kumar, A. S.

Publisher : International Conference on Robotics and Automation for Humanitarian Applications, RAHA 2016 -

A. K. Singh, John, B. P., Subramanian, S. R. Venkata, A. Kumar, S., and Nair, B. B., “A low-cost wearable Indian sign language interpretation system”, in International Conference on Robotics and Automation for Humanitarian Applications, RAHA 2016 - Conference Proceedings, 2017.


Year : 2015

Machine Learning Approach to the Prediction of Surface Roughness Using Statistical Features of Vibration Signal Acquired in Turning

Authors : Dr. Sakthivel N. R., Dr. Saravana Murugan S., Dr. Binoy B. Nair, Dr. Elangovan M., and Sugumaran, V.

Publisher : Procedia Computer Science

Dr. Elangovan M., Dr. Sakthivel N.R., Saravanamurugan, S., Dr. Binoy B. Nair, and Sugumaran, V., “Machine Learning Approach to the Prediction of Surface Roughness Using Statistical Features of Vibration Signal Acquired in Turning”, in Procedia Computer Science, 2015, vol. 50, pp. 282–288.

Year : 2013

PC Based Heart Sound Monitoring System

Authors : Dr. Binoy B. Nair

Publisher : Amrita Bio Quest

Dr. Binoy B. Nair, “PC Based Heart Sound Monitoring System”, in Amrita Bio Quest 2013, 2013.

Year : 2013

Improving returns from the Markowitz model using GA- An empirical validation on the BSE

Authors : Dr. Binoy B. Nair

Publisher : International Conference on Advances in Computer Science (AETACS)

Dr. Binoy B. Nair, “Improving returns from the Markowitz model using GA- An empirical validation on the BSE”, in International Conference on Advances in Computer Science (AETACS), 2013.

Year : 2013

Low-cost PC Based Potentiostat for Student Laboratory Applications

Authors : Dr. Binoy B. Nair

Publisher : Amrita Bio Quest

Dr. Binoy B. Nair, “Low-cost PC Based Potentiostat for Student Laboratory Applications”, in Amrita Bio Quest , 2013.

Year : 2013

A GPS-less Navigation System

Authors : Dr. Binoy B. Nair, A. Ravisankar, Agarwal, A., Kulkarni, A., Kumar, M. A. A., Ram, B. B., and Sivasubramaniam, S.

Publisher : India Educators' Conference (TIIEC)

A. Ravisankar, Agarwal, A., Kulkarni, A., Kumar, M. A. A., Ram, B. B., Sivasubramaniam, S., and Dr. Binoy B. Nair, “A GPS-less Navigation System”, in India Educators' Conference (TIIEC), 2013 Texas Instruments, 2013.

Year : 2012

Predicting the BSE sensex: Performance comparison of adaptive linear element, feed forward and time delay neural networks

Authors : Dr. Binoy B. Nair, Patturajan, M., Mohandas, V. P., and Sreenivasan, R. R.

Publisher : EPSCICON 2012

Dr. Binoy B. Nair, Patturajan, M., Mohandas, V. P., and Sreenivasan, R. R., “Predicting the BSE sensex: Performance comparison of adaptive linear element, feed forward and time delay neural networks”, in 2012 International Conference on Power, Signals, Controls and Computation, EPSCICON 2012, Thrissur, Kerala, 2012.

Year : 2010

A stock market trend prediction system using a hybrid decision tree-neuro-fuzzy system

Authors : Dr. Binoy B. Nair, Dharini, N. M., and Mohandas, V. P.

Publisher : ARTCom 2010

Dr. Binoy B. Nair, Dharini, N. M., and Mohandas, V. P., “A stock market trend prediction system using a hybrid decision tree-neuro-fuzzy system”, in Proceedings - 2nd International Conference on Advances in Recent Technologies in Communication and Computing, ARTCom 2010, Kottayam, 2010, pp. 381-385.

Year : 2010

Stock market prediction using a hybrid neuro-fuzzy system

Authors : Dr. Binoy B. Nair, B. Sujithra, Minuvarthini, M., and Mohandas, V. P.

Publisher : ARTCom

B. Sujithra, Dr. Binoy B. Nair, Minuvarthini, M., and Mohandas, V. P., “Stock market prediction using a hybrid neuro-fuzzy system”, in Proceedings - 2nd International Conference on Advances in Recent Technologies in Communication and Computing, ARTCom 2010, Kottayam, 2010, pp. 243-247.

Year : 2010

A GSM-based versatile Unmanned Ground Vehicle

Authors : Dr. Binoy B. Nair, Keerthana, T., Barani, P. R., Kaushik, A., Sathees, A., and Sreekumaran A Nair

Publisher : INTERACT-2010

Dr. Binoy B. Nair, Keerthana, T., Barani, P. R., Kaushik, A., Sathees, A., and Sreekumaran A Nair, “A GSM-based versatile Unmanned Ground Vehicle”, in International Conference on "Emerging Trends in Robotics and Communication Technologies", INTERACT-2010, Chennai, 2010, pp. 356-361.

Year : 2010

Autonomous arecanut tree climbing and pruning robot

Authors : Dr. Binoy B. Nair, D. P. Soni, Ranjana, M., Gokul, N. A., and Swaminathan, S.

Publisher : INTERACT-2010

D. P. Soni, Ranjana, M., Gokul, N. A., Swaminathan, S., and Dr. Binoy B. Nair, “Autonomous arecanut tree climbing and pruning robot”, in International Conference on "Emerging Trends in Robotics and Communication Technologies", INTERACT-2010, Chennai, 2010, pp. 278-282.

Year : 2010

Application of hybrid adaptive filters for stock market prediction

Authors : Dr. Binoy B. Nair, Dr. Sakthivel N. R., Mohandas, V. P. Nagendran, S., Nareash, A., Nishanth, R., Ramkumar, S., and Kumar, M. D.

Publisher : Proceedings of 2010 International Conference on Communication and Computational Intelligence,

Dr. Binoy B. Nair, Mohandas, V. P., Dr. Sakthivel N.R., Nagendran, S., Nareash, A., Nishanth, R., Ramkumar, S., and Kumar, M. D., “Application of hybrid adaptive filters for stock market prediction”, in Proceedings of 2010 International Conference on Communication and Computational Intelligence, INCOCCI-2010, Perundurai, Erode, 2010, pp. 443-447.

Conference Proceedings

Year : 2017

Application of Clustering Techniques for Video Summarization – An Empirical Study

Authors : Dr. Binoy B. Nair, Dr. (Col.) Kumar P. N., John, Alvina;

Publisher : Advances in Intelligent Systems and Computing

A. John, Dr. Binoy B. Nair, and Dr. (Col.) Kumar P. N., “Application of Clustering Techniques for Video Summarization – An Empirical Study”, Advances in Intelligent Systems and Computing, vol. 573. pp. 494-506, 2017.

Research Expertise

As in July 2016, the number of students working at various levels under his supervision are:

  • PhD -1 (video content analysis)
  • M.Tech – 3 (video content analysis, condition monitoring)
  • B.Tech – 8 (video content analysis)

Prospective researchers are welcome to contact him at the official e-mail ID given below.

Funded Projects

Project Title: A low-cost hand and arm rehabilitation system
Role: Principal Investigator
Funding Agency: DST-Govt. of India
Funding Amount: Rs. 20.91 Lakh

Project Title: Design and Evaluation of DRFM Mitigation System
Role: Co-Investigator (Principal Investigator- Dr. GA Shanmugha Sundaram, PHD)
Funding Agency: National Instruments (funded under NI Academic Research Grant)
Funding Amount: USD 118,000.00
Duration: Three years

Project Title: Detection and Prevention of Advanced Persistent Threat (APT) activities in heterogeneous networks using SIEM and Deep Learning
Role: Co-Investigator
Funding Agency: IBM-SUR
Funding Amount: Rs. 9.80 Lakh

Teaching

A partial list of the courses taught at both the UG and PG level over the years, is given below:

  1. Machine Learning
  2. Pattern Recognition Techniques and Algorithms.
  3. Introduction to Data mining
  4. Signal Processing for Business Applications
  5. Automotive Control Systems
  6. Control Systems
  7. Electronic Measurements and Measuring Instruments
Admissions Apply Now