My research work focuses on the areas of Pattern Recognition, Machine Learning, Social Media Analytics, Medical Image Computing and Biometrics. The aim of my research is to explore the knowledge of Mathematics, Artificial Intelligence, Cognitive Science, and Biological Sciences to provide solutions to the problems related to Machine Vision, Human Recognition, Healthcare Informatics, Prediction and Discover Knowledge of Real-World Events.
The candidates interested to do the doctoral research (PhD) in the areas mentioned above are welcomed. Briefly, my research philosophy has revolved around creating a difference while advancing human and societal needs. I endeavour the research problems that are important to all and searching for solutions to them is a matter of gratification...
For discussion about the research you may contact: singhyn[AT]gmail[DOT]com.
We are ready to solve our day-to-day real-life challenges using Artificial Intelligence (AI)? AI refers to the intelligence of machines that perform cognitive tasks like thinking, knowledge acquisition, learning, planning, decision making and actions like a human being. It is an art of making machines to be intelligent so AI is computational intelligence.
NITI Aayog (GOI) has quantified the focus areas that are envisioned to benefit from AI in solving societal needs:
1. Healthcare - Accessibility and Affordability of Quality Healthcare
2. Agriculture - Transformation of Traditional Agriculture to Mechanized (AI-enabled) Agriculture for Increasing Farmers' Income & Productivity along with Waste Management
3. Education - Anywhere and Anytime Access of Quality Education
4. Smart Cities and Infrastructure - Efficient Operations to Control Urban Activities and Resource Optimization
5. Smart Mobility and Transportation - Intelligent Traffic Management for Speedy and Safer Transportation
Candidates are encouraged to work in these areas for the benefits of deploying AI at scale...[Continue reading]
Dr. Yogendra Narain Singh is working as Professor in Department of Computer Science & Engineering at Institute of Engineering & Technology, Dr APJ Abdul Kalam Technical University, Uttar Pradesh, Lucknow, India. He is graduated in computer science & engineering from Harcourt Butler Technical University (Formerly HBTI) Kanpur. He received M. Tech. degree in Computer Science & Engineering from Indian Institute of Technology Kanpur (IITK) and PhD degree from Indian Institute of Technology (IIT-BHU), Varanasi. He has authored two books. He has to his credit over fifty research articles published in International Journals/ Conferences of repute. Dr. Singh is interested in the areas of Pattern Recognition, Machine Learning, Social Media Analytics, Medical Image Computing and Biometrics. He is pioneer in biometric research, in particular, he developed the state-of-the-art biometric recognition system that recognizes individuals using a novel biometrics electrocardiogram (ECG). He is one of the researchers whose paper is selected as the best biometrics-related papers across the Elsevier journals.
R Srivastava, A Singh and Y N Singh (2021), PlexNet: A Fast and Robust ECG Biometric System for Human Recognition, Information Sciences Journal, Elsevier, vol./pp. TBA, Jan 2021.
S Srivastava and Y N Singh (2021), Social Media Big Data Analytics: Security Vulnerabilities and Defenses, In Proc Int'l Conference on Machine Vision & Augmented Intelligence (MAI 2021), to be held on 11 - 14 Feb 2021 at IITDM Jabalpur, pp. TBA.
S Srivastava, M K Singh and Y N Singh (2020), Social Media Analytics: Current Trends and Future Prospects, To appear in: Lecture Notes in Networks and Systems, Springer, pp. TBA, Dec 2020.
S Srivastava and Y N Singh (2020), Big Social Media Analytics: Applications and Challenges, To appear in: Lecture Notes on Data Engineering and Communications Technologies, Springer, pp. TBA, Dec 2020.
A Singh, Y N Singh and P K Singh (2020), Biometric Template Protection using Deep Learning, To appear in: Advances in Intelligent Systems and Computing, Springer, pp. TBA, Dec 2020.
A Agarwal and Y N Singh, (2020), "Unconstrained Face Recognition using Deep Convolution Networks", International Journal of Information and Computer Security, vol. 12, no. 2/3, pp. 332 - 348, Feb, 2020.
A Singh, R Srivastava and Y N Singh (2019), Prevention of Payment Card Frauds using Biometrics, International Journal of Recent Technology and Engineering (IJRTE) ISSN: 2277-3878, vol. 8, no. 3S, pp. 516 - 525, Oct 2019.
R Srivastava and Y N Singh (2019), ECG Analysis for Human Recognition using Nonfudicial Methods, IET Biometrics, vol. 8, no. 5, pp. 295 - 305, Sep 2019, ISSN 2047-4938, e-ISSN 2047-4946.
A Pal and Y N Singh (2019), Biometric Recognition using Area under Curve Analysis of Electrocardiogram, International Journal of Advanced Computer Science and Applications, vol. 10, no. 1, pp. 533 - 545, Mar 2019.
A Agarwal and Y N Singh, An Efficient Approach for Face Recognition in Unconstrained Environment, Multimedia Tools and Applications, Springer, vol. 76, no. 3, pp. 3751-3760, 2017.
R Shyam and Y N Singh, Multialgorithmic Frameworks for Human Face Recognition, Journal of Electrical and Computer Engineering, Hindawi, vol. 2016 (2016), Article ID 4645971, pp. 1-9.July 2016.
Y N Singh, Human Recognition using Fisher's Discriminant Analysis of Heartbeat Interval Features and ECG Morphology, Neurocomputing, Elsevier, vol. 167 (2015), pp. 322-335. [Best among the top 20 Biometric papers published by Elsevier Journals]
To be updated...
PRESENT WORK [Articles Communicated]
R Srivastav and Y N Singh, Statistical Independence of ECG for Biometric Authentication, Pattern Recognition, Elsevier, Sep 2019.
R Srivastav, A Singh and Y N Singh, PlexNet: An Ensemble of Deep Neural Networks for Biometric Template Protection, Neural Computing and Applications, Springer, Sep 2020.
A Pal, R Srivastav and Y N Singh, CardioNet: An Efficient ECG Arrhythmia Classification using Transfer Learning, Big Data Research, Elsevier, Oct 2020.
A Singh, R Srivastav and Y N Singh, Multibiometric Fusion for Template Protection using Transfer Learning and Cryptographic Hash, IEEE Transactions on Biometrics, Behavior and Identity Science, Dec 2020.
A Singh, R Srivastava and Y N Singh, Cancelable Multibiometrics for Template Protection using Random Projection and Fuzzy Quantization, Multimedia Tools and Applications, SI on Multimodal Interaction and IoT Applications, Springer, Dec 2020.
S Srivastava and Y N Singh, Social Media Analytics: A Review and Future Directions, Multimedia Tools and Applications, SI on Recent Trends in AI and Data Science for Multimedia Data Analysis on Social Networks, Springer, Jan 2021.