kkshukla.cse's picture
Dr. Kaushal Kumar Shukla
Professor and Dean (Faculty Affairs)
Department of Computer Science and Engineering
+91 542 6702767
Area of Interest: 
Artificial Intelligence,Neural Networks,Data Mining

Academic Qualifications:  Ph.D.(BHU), M.Tech (Gold Medal) (BHU), B.E (FIRST CLASS FIRST)

Industry Experience:   8 years at HAL, India and Smiths Aerospace, U.K.

Academic Experience: Faculty in the CSE department, IT(BHU) / IIT(BHU) since 1990.

Subjects Taught:  Information Security, Advanced Computer Networks, Computer Graphics, Graph Theory, and many more...

Intellectual Property Rights: 24 IPRs (Web applications, e-learning resources and XML content in vernacular) (Transferred to the Ministry of Communication & Information  Technology, GoI)

Patent Filed:  A Device For Modeling  Software Clone Evolution Across Different Versions And a Method Thereof.

Broad Areas of Research:

Artificial Intelligence,Neural Networks,Data Mining


  • 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.


  • 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.
  • 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]
  • 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.
Nov 82 - Nov 83 Software Development and Validation for Strapdown Inertial Navigation System for Indian Military Aircraft. Aircraft Aeronautical Research & Development Board
Dec 83 - Nov 85 Software Development and Field Testing of Heliostat Control System for Solar Energy Utilization. HAL
Dec 85 - Aug 86 Deputed to SMITHS AEROSPACE, U.K. on project - Full Authority Digital Engine Control for Light Combat Aircraft (LCA). Aeronautical Development Agency (ADA)
Sep 86 - July 87 Hardware/Software Integration and digital filter software for Digital Fuel Management System for Advanced Light Helicopter (ALH) of Indian Air Force. Helicopter Design Bureau, Banagalore
Aug 87 - Jan 88 Graphics Kernel System Routines for Flight Data Display HAL
Feb 88 - Mar 88 On deputation to SMITHS AEROSPACE, U.K. on the project - System Integration of Dual Redundant 68000 + 8097 based FADEC system for LCA. Aeronautical Development Agency (ADA).
Apr 88 - Mar 89 Lab Demonstrator for GET_U_HOME panel using 80286 + 80287. HAL
Apr 89 - Jun 90 FADEC CPU testing and software validation for ground trials of LCA. HAL + Smiths Aerospace U.K. Joint R & D venture

AICTE Thrust Area Scheme.

(Rs. 7.70 lacs)

Mar 99- Mar 01 Neural Network Application To Machine Vision

AICTE Thrust Area Scheme

(Rs. 10.00 lacs)

Mar 02 - 05 Malaviya Center for Information Technology Localization (CoIL Net)

Dept. of Information Technology, Ministry of Communication & Information Technology project

(Rs. 1 Crore)

PhD Supervision: 

S.N. Name Title of the PhD Thesis  Status
1. Dr. Amitabh Wahi

Neural Network and Fuzzy Logic Applications in Some Classification Problems


2. Dr. Arvind Shrivastava

Application of Artificial Neural Network in Gas/ Odor Identification Using Sensor Array


3. Dr. S. P. Sisodia

Neural Network Techniques with a Special Reference to Digital System Testing


4. Dr. P. K. Singh

Intelligent Heating Schedule Controller for SC Furnace (ISM)


5. Dr. B. R. K. Rao

On New Learning Techniques in Radial Basis Function Neural Networks and Their Applications.


6. Dr. P. Roychowdhury

New Tunneling Based Learning Algorithms For Neural Nets


7. Dr. Arvind Kumar Tiwari

New Implementation Techniques of DWT and Their Application to Signal De-noising & Classification


8. Dr. M.V.N.K.Prasad

Domain Decomposition Based Image Compression


9. Dr. R. R. Das

Neuro-Fuzzy Classifiers for Identification of Gases / Odours


10. Dr. Pranab Kumar Muhuri

Task Scheduling in Real-Time Systems with Fuzzy Uncertainty in Deadlines and Processing Times


11. Dr. Neeraj Sharma

Segmention in Biomedial Images


12. Dr. Sandeep Agarwal

Adaptive Scheduling Algorithms for Overloaded Real Time Systems


13. Dr. Bhaskar Biswas

New Algorithms for Mining Web pages based on their Content and Structure


14. Dr. Abhigyan Dwivedi

Nominal Phrase in Sanskrit and English - A Machine Translation Approach


15. Dr. Mohanchur Sarkar

Performance Enhancement Algorithms for Satellite Interactive Network


16. Dr. Bharavi Mishra

Developing Software Defect Prediction Models by Mining Historical Data Sets


17. Dr. (Ms.) Mousumi Dhara

New Approaches to Graph Clustering and Overlapping Community Detection with Applications


18. Dr.(Ms.) Madhushi Verma

Fuzzy Models and Heuristic Algorithms for a Class of Graph Problems


19. Dr. Jayadeep Pati

Analysis of Temporal Patterns across Software Versions using Time Series Models


20. Dr.(Ms.) Mridula Verma

New Accelerated First-order Machine Learning Algorithms using Convex Optimization.


21. Ms Manisha Singla Robust Machine Learning In Progress


Dean (Faculty Affairs), I.I.T. (B.H.U)  01.12.2017- till date
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:

i. Entry in Marquis Who is Who in the World
ii. B.H.U. Gold Medal in M.Tech. Control Systems
iii. FIRST RANK in B. E. throughout the five - year course
iv. MERIT CERTIFICATE in Higher Secondary
v. APPRECIATION LETTER from Research Designs & Standards Organization (RDSO), Ministry of Railways for saving foreign exchange by troubleshooting and commissioning the Rail Imaging Computer System.
vi. BEST PAPER AWARD by Computer Society of India.
vii. Computer Engineering Division MEDAL from the Institution of Engineers (India)
viii. IBM campus mentoring award