Broad Areas of Research:

Artificial Intelligence,Neural Networks,Data Science

Current Interests:

Robust machine learning, Interpretable models, nature inspired algorithms (NIA)

Books:

• Neuro Computers - Optimization Based Learning, Narosa India, CRC Press and  Alpha Science Publications, U.K., ISBN 81-7319-382-7. © 2011
• K. K. Shukla, A. K. Tiwari, Efficient Algorithms for Discrete Wavelet Transform, Springer Series in Computer Science, DOI: 10.1007/978-1-4471-4941-5_2, © 2013.   
• Advances in Real Time Task Scheduling, Lambert Academic Gmbh, Germany, ISBN 978-3-8443-0142-7,  © 2012.
• Fuzzy Uncertainty Models and Algorithms, Lambert Academic Gmbh, Germany, ISBN 978-3-8443-1647-6,  © 2009.
• Lossy Image Compression: Domain Decomposition Based Algorithms, Springer Briefs in Computer Science, UK, ISBN 978-1-4471-2218-0 © 2011.

Chapters:

• Vandana Bharti, B Biswas, & K K Shukla. Computational intelligence in the Internet of things for future healthcare applications in the book IoT-Based Data Analytics for the Healthcare Industry Techniques and Applications Intelligent Data-Centric Systems, (2021), Pages 57-78, Academic Press https://doi.org/10.1016/B978-0-12-821472-5.00018-1
• Application of Bayesian Automated Hyper-parameter Tuning on Classifiers Predicting Customer Retention in Banking Industry, CHAPTER in the book: Data Management, Analytics and Innovation, Ed. Neha Sharma, Amlan Chakrabarti, Valentina Emilia Balas, Jan Martinovic, Advances in Intelligent Systems and Computing series, Volume 1175, Pp. 83-100, Series Ed. Janusz Kacprzyk, Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland, ISBN 978-981-15-5618-0 ISBN 978-981-15-5619-7 (eBook), © Springer Nature Singapore Pte Ltd. 2020   [ LINK ]
• Diabetic Retinopathy Detection Using Twin Support Vector Machines, CHAPTER in the book Advances in Bioinformatics, Multimedia, and Electronics Circuits and Signals, Ed. L C Jain et al, pp. 91-104, ISBN 978-981-15-0339-9 Springer © 2019
• Invited Chapter in –Softcomputing & Intelligent Systems:Theory And    Applications, ed. N. K. Sinha,   M.M.Gupta, Academic Press, USA, ISBN 99-65097. © 1999
• Invited Chapter in –Multimedia Systems and Content-Based Image Retrieval, ed. S Deb, Idea    Group Inc., USA, ISBN: 1-59140-156-9. © 2004
• Book Chapter -Bharavi Mishra K. K. Shukla, Data Mining Techniques for Software Quality Prediction IGI Global (source title: Designing, Engineering, and Analyzing Reliable and Efficient Software, DOI: 10.4018/978-1-4666-2958-5, ISBN13: 9781466629585) © 2013.
• Book Chapter - Pranab K. Muhuri, K. K. Shukla, Task Scheduling under Uncertain Timing Constraints in Real-Time Embedded Systems (Source Title: Embedded Computing Systems: Applications, Optimization, and Advanced Design, IGI Global, DOI: 10.4018/978-1-4666-3922-5, ISBN13: 9781466639225)© 2013
• Book Chapter - Bharvi Mishra, K K Shukla (2014), Data Mining Techniques for Software Quality Prediction, in Software Design and Development: Concepts, Methodologies, Tools, and Applications, Information Resources Management Association (Ed.), pp. 401-428, DOI: 10.4018/978-1-4666-4301-7.ch 21.

• Anviti Pandey, Sanjay Kumar Singh, Sandeep S. Udmale, K. K. Shukla (2022) Epileptic Seizure Classification using Battle Royale Search and Rescue optimization based Deep LSTM,  IEEE Journal of Biomedical and Health Informatics ( Early Access ), September 2022, PubMed ID: 36048978 [ Link ]
• Sarika Keshri, Shyam Lal, K.K. Shukla (2022) Picture Quality and Compression Analysis of Multilevel Legendre Wavelet Transformation Based Image Compression Technique, Multimedia Tools and Applications, 81:29799–29845, DOI 10.1007/s11042-022-12675-9, April 2022  [ Link ] 
• Manisha Singla, Debdas Ghosh, K. K. Shukla (2021) pin-TSVM: A Robust Transductive Support Vector Machine and its Application to the Detection of COVID-19 Infected Patients, Accepted: 17 July 2021, Neural Processing Letters, Springer (2021) 53:3981–4010 [ Link ] 
• Vandana Bharti, B Biswas, and K K Shukla (2021) A Novel Multiobjective GDWCN-PSO Algorithm and its Application to Medical Data Security. ACM Transactions on Internet Technology. Vol 21, Issue 2, June 2021, Article no.:46 pp. 1-28  DOI:10.1145/3397679   [ Link ] 
• Vandana Bharati, Bhaskar Biswas, K K Shukla, (April 2021) EMOCGAN: a novel evolutionary multiobjective cyclic generative adversarial network and its application to unpaired image translation, Neural Computing and Applications (2021), Special Issue on Neural Computing and Applications in Computer Vision and Image Processing ISSN: 0941-0643 (Print) 1433-3058 (Online)Springer, DOI: https://doi.org/10.1007/s00521-021-05975-y
• D R Sahu, J C Yao, M Verma, K K Shukla, (2021) Convergence rate analysis of proximal gradient methods with applications to composite minimization problems, Optimization, Taylor & Francis, Vol 70, Issue 1,  January 2021, pages 75-100. (online first 2020)  DOI 10.1080/02331934.2019.1702040 [ Link ]
• Manisha Singla, Debdas Ghosh, K K Shukla (2020) Improved Sparsity of Support Vector Machine with Robustness Towards Label Noise Based on Rescaled Hinge Loss with Non-smooth Regularizer, Accepted: 1 September 2020, Neural Processing Letters, Springer [ Link ] 
• Mridula Verma, K. K. Shukla (2020) Convergence analysis of accelerated proximal extra-gradient method with applications, Neurocomputing, Elsevier, Volume 388,  May 2020, Pages 288-300. DOI 10.1016/j.neucom.2020.01.049  [ Link ] 
• Manisha Singla, Debdas Ghosh, K.K.Shukla, Witold Pedrycz (2020) Robust twin support vector regression based on rescaled Hinge loss, Pattern Recognition, Elsevier, vol 105, Online 28 April 2020 DOI 10.1016/j.patcog.2020.107395   [ Link ] 
• Manisha Singla, Debdas Ghosh, K K Shukla (2019) A survey of robust optimization based machine learning with special reference to support vector machines, International Journal of Machine Learning and Cybernetics, 11:1359–1385, Springer Berlin Heidelberg, DOI:10.1007/s13042-019-01044-y​ [Link]
• Manisha Singla, K K Shukla (2019) Robust statistics-based support vector machine and its variants: a survey, Neural Computing and Applications, pp. 1-22, online first, Springer London, Online ISSN 1433-3058   [ Link ]
• Debdas Ghosh, Akshay Sharma, K. K. Shukla, Amar Kumar, Kartik Manchanda (2019) Globalized Robust Markov Perfect Equilibrium for Discounted Stochastic Games and its Application on Intrusion Detection in Wireless Sensor Networks, Japan Journal of Industrial and Applied Mathematics, [online first], ISSN 1868-937X, pp 1-26.  [ Link ]
• Deevashwer Rathee, Thomas Schneider and K. K. Shukla (2019) Improved Multiplication Triple
  Generation over Rings via RLWE-Based AHE, CANS 2019, LNCS 11829, Springer Nature Switzerland AG, pp. 347–359.  [ Link ]
• Debdas Ghosh, Abhishek Singh, K K Shukla, Kartik Manchanda (2019) Extended Karush-Kuhn-Tucker condition for constrained interval optimization problems and its application in support vector machines, Information Sciences, Volume 504, Pages 276-292.  [ Link ]
• Himadri Mishra, K K Shukla (2018) Scaling Neural Programmer-Interpreter For Real-Life Tasks , CVPR 2018  [ Link ]
• Mridula Verma, D. R. Sahu, K. K. Shukla, VAGA: A novel viscosity-based accelerated gradient algorithm Convergence analysis and applications, Applied Intelligence, (2018) 48:2613–2627, Springer Science+Business Media, LLC, part of Springer Nature. [ Link ]
• Madhushi Verma and K. K. Shukla (2016) Fuzzy Metric Space Induced by Intutionistic Fuzzy Points and its Application to the Orientering Problem, IEEE Transactions on Fuzzy Systems, vol. 24 (2), pp. 483-488, April 2016. doi: 10.1109/TFUZZ.2015.2452948 [ Link ]
• Mridula Verma & K. K. Shukla (2017) A new accelerated proximal gradient technique for regularized multitask learning framework, Pattern Recognition Letters, Vol. 95, pages 98-103 [ Link ]
• Mridula Verma & K. K. Shukla (2017) A new accelerated proximal technique for regression with high-dimensional datasets, Knowledge and Information Systems, pp. 1-16. ISSN: 0219-3116 [Link]
• Pranav Goel , Devang Kulshreshtha∗ , Prayas Jain and K.K. Shukla(2017) Prayas at EmoInt 2017: An Ensemble of Deep Neural Architectures for Emotion Intensity Prediction in Tweets, Proceedings of the 8th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, pp. 58-65  [Link]  Published on aclweb.org
• Ramesh C. Pandey, Sanjay K. Singh, Kaushal K. Shukla, Passive forensics in image and video using noise features: A review, Digital Investigation, Volume 19, December 2016, Pages 1-28, ISSN 1742-2876. [Link]
• Anoop Kumar Tiwari, Shivam Shreevastava, Tanmoy Som, K K Shukla (2018), Tolerance-based intuitionistic fuzzy-rough set approach for attribute reduction, Expert Systems with Applications, Volume 101, 1 July 2018, pp. 205-212. [Link]
• Anuranjeeta A, Shukla K. K, Tiwari A, Sharma S. Classification of Histopathological images of Breast Cancerous and Non Cancerous Cells Based on Morphological features. Biomedical and Pharmacology Journal , 10(1), pp. 353-366. [Link]
• Mridula Verma, Prayas Jain, K K Shukla (2016) A New Faster First Order Iterative Scheme for Sparsity-based Multitask Learning, Proceedings of 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC-16), Budapest, Hungary, pp. 1603-1608. [Link]
• Mridula Verma and K. K. Shukla, Performance comparison of proximal methods for regression with nonsmooth regularizers on real datasets, International Conference on Advances in Computing, Communications and Informatics (ICACCI), Jaipur, pp. 447-453 (Acceptance Rate: 23%). [Link]
• Mridula Verma and K. K. Shukla (2017) Fast Multi-Modal Unified Sparse Representation Learning. In Proceedings of the 2017 ACM on International Conference on Multimedia Retrieval (ICMR '17). ACM, NY, USA, 443-447. [Link]
• Ramashish Gaurav, Mridula Verma, and K K Shukla. 2016. Informed multimodal latent subspace learning via supervised matrix factorization. In Proceedings of the Tenth Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP '16). ACM, NY, USA, Article 36. [Link]
• Jain P., Shukla K.K. (2016) Cryptographic Assessment of SSL/TLS Servers Popular in India. In: Mueller P., Thampi S., Alam Bhuiyan M., Ko R., Doss R., Alcaraz Calero J. (eds) Security in Computing and Communications. SSCC 2016. Communications in Computer and Information Science, vol 625. Springer. [Link]
• Madhushi Verma and K. K. Shukla (2017) An Integer Programming Formulation of the Intuitionistic Fuzzy Orienteering Problem and Its Work-Depth Analysis, In Proc. of The International Conference on Engineering and Applied Sciences (TICEAS-2017), Singapore, 2017.
• Ishank Arora, Anant Dadu, Mridula Verma, K. K. Shukla,(2016) ”Random Projections of Fischer Linear Discriminant Classifier for Multi-Class Classification”, in proceedings of the 4th International Symposium on Computational and Business Intelligence, September 2016, Olten, Switzerland, pp. 165-169. [Link]
• M. Verma, S. Asmita and K. K. Shukla (2016) A Regularized Ensemble of Classifiers for Sensor Drift Compensation. IEEE Sensors Journal, vol. 16, no. 5, pp. 1310-1318. doi: 10.1109/JSEN.2015.2497277. [Link]
• Jayadeep Pati, K K Shukla (2015), A Hybrid Technique for Software Reliability Prediction, ISEC15, Proceedings of the 8th India Software Engineering Conference, ISOFT, the India chapter of ACM SIGSOFT [Link]
• S. Sah, K K Shukla , Construction and Maintenance of Virtual Backbone in Wireless Networks, Wireless Networks, Springer, Volume 19, Issue 5, Print ISSN 1022-0038, Online ISSN 1572-8196, pp 969-984, July 2013.
• Madhushi Verma and K. K. Shukla (2014), Evaluation of Ranking Methods for the Constrained Fuzzy Shortest Path Problem, in proceedings of the second International Conference on Emerging Research in Computing, Information, Communication and Applications (Elsevier), pp. 812-822, ISBN: 9789351072638.
• Jayadeep Pati, K. K Shukla, (2014), A Neural Network Approach to Debian Bug Number Prediction, 4th  International Conference on Computational Intelligence and Information Technology – CIIT 2014, Computer Application and Signal Processing 2014, Available from: http://dx.doi.org/10.3850/978-981-09-1137-9_p004.
• Ramesh Chand Pandey, Rishabh Agrawal, Sanjay Kumar Singh, K. K. Shukla (2014), Passive Copy Move Forgery Detection Using SURF, HOG and SIFT Features, Proceedings of the 3rd International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA) 2014, Advances in Intelligent Systems and Computing Volume 327, 2015, pp 659-666.
• Mridula Verma and K. K. Shukla (2014), Efficient Kernel Fuzzy c-Means Clustering on Very Large Scale Data using Random Fourier Features, in proceedings of the second International Conference on Emerging Research in Computing, Information, Communication and Applications (ERCICA) (Elsevier), pp. 74-81, ISBN: 9789351072638
• Mohit Mishra, Utkarsh Chaturvedi, K. K. Shukla (2014), A New Heuristic Algorithm based on Molecular Geometry Optimization and its Application to the Integer Factorization Problem, Intl. Conference on Soft Computing & Machine Intelligence, (ISCMI)2014-1-014E.
• Abhishek Pandeya, R. Prasada, V.P. Singh,  S.K. Jha, K.K. Shukla, Crop Parameters Estimation by Fuzzy Inference System using X-band Scatterometer Data, Advances in Space Research, Elsevier, Volume 51, Issue 5, p. 905-911, March, 2013. 
• Madhushi Verma, K. K. Shukla,  A Greedy Algorithm for Fuzzy Shortest Path Problem, International Journal of Fuzzy System Applications, IGI Global, 3(2), 55-70,  April-June 2013.

PhD Supervision: 

Dean (Faculty Affairs), I.I.T. (B.H.U)  01.12.2017- 06.05.2020
Professor In-charge (Faculty Affairs), I.I.T. (B.H.U)  (26.05.2017-30.11.2017)
Chairman    National Supercomputing mission, IIT BHU Node 
Head  Department of Computer Science and Engineering, IIT BHU (2002 - 2005), (2014-2017): 6 Years
R & D Project supervision at HAL. (1982 - 1990) Fighter Aircraft Avionics and Digital Control Systems.
Lab In-charge Visual Computing & AI Labs. Set up these labs from scratch. (1991 - 2007)
                        Presently, Lab In-charge, Network Security Lab.
Administrative Warden, Vivekanand Hostel (1990 - 1996). 

Honors and Awards: