Maulana Azad National Institute of Technology Logo
Sunday, 26 May 2019

Dr.Sanyam Shukla

You are here

sanyam IT

  Dr.Sanyam Shukla 

Designation

Assistant Professor

Address

E-mail

Mobile

CSE Department, 6/27 MANIT CAMPUS BHOPAL

sanyamshukla[at]gmail[dot]com;sanyamshukla[at]manit[dot]ac[dot]in;sanyamshukla[at]yahoo[dot]co[dot]in

9826075662

Date of Birth

17/12/1979

Educational Qualification

Ph.D (CSE), M.Tech (CSE), B.Tech(CSE)

Experience

12 Years Teaching

Specialization

Machine Learning, Neural Networks, Optimization Techniques

Publication

 

Papers Published in SCI indexed Journals

  1. Bhagat Singh Raghuwanshi, Sanyam Shukla, Generalized class-specific kernelized extreme learning machine for multiclass imbalanced learning, Expert Systems with Applications, Volume 121, 244-255, 2019.
  2. Bhagat Singh Raghuwanshi, Sanyam Shukla, Class imbalance learning using UnderBagging based kernelized extreme learning machine, Neurocomputing ,Volume 329, Pages 172-187, 2019.
  3. Bhagat Singh Raghuwanshi, Sanyam Shukla, “Class-specific extreme learning machine for handling binary class imbalance problem”, Neural Networks, Volume 105, Pages 206-217, 2018.            
  4. Sukirty Jain, Mona Singhal,  Sanyam Shukla,  “Comments on `Traffic Sign Recognition Using Kernel Extreme Learning Machines With Deep Perceptual Features”, IEEE Transactions on Intelligent Transportation Systems,  Article in press
  5. Bhagat Singh Raghuwanshi, Sanyam Shukla, “UnderBagging based reduced Kernelized weighted extreme learning machine for class imbalance learning”, Engineering Applications of Artificial Intelligence, Volume 74, Pages 252-270, 2018
  6. Sukirty Jain, Sanyam Shukla, Rajesh Wadhvani, “Dynamic selection of normalization techniques using data complexity measures”, Expert Systems with Applications, Volume 106, Pages 252-262, 2018
  7. Bhagat Singh Raghuwanshi, Sanyam Shukla, “Class-specific cost-sensitive boosting weighted ELM for class imbalance learning”, Springer. Memetic Comp., pages. 1-21, 2018
  8. Sanyam Shukla, Ram Narayan Yadav, “Regularized Weighted Circular Complex-Valued Extreme Learning Machine for Imbalanced Learning” IEEE Access, volume. 3, pages.  3048-3057, 2015
  9. Bhagat Singh Raghuwanshi, Sanyam Shukla, "Class-specific kernelized extreme learning machine for handling binary class imbalance problem," Applied Soft Computing, Volume 73, Pages 1026-1038, 2018
     

 

Papers Published in IEEE conferences

  1. Sukirty Jain, Sanyam Shukla, Bhagat Singh Raghuwanshi,  “Analysis of ordering based ensemble pruning techniques for Voting based Extreme Learning Machine”, 2018 IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS), Bhopal, pages 1-5, 2018.
  2. Mona Singhal, Sanyam Shukla and Bhagat Singh Raghuwanshi, "Voting based Extreme learning Machine with Spectral Coefficient Pruning for binary Classification," 2018 IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS), Bhopal, pages 1-6, 2018.
  3. Mona Singhal and Sanyam Shukla, "Centroid Selection in Kernel Extreme Learning Machine using K-means," 2018 5th International Conference on Signal Processing and Integrated Networks (SPIN), Noida, pages 708-711, 2018.
  4. Swapnil Umbarkar and Sanyam Shukla, "Analysis of Heuristic based Feature Reduction method in Intrusion Detection System," 2018 5th International Conference on Signal Processing and Integrated Networks (SPIN), Noida, pages 717-720, 2018.
  5. Sukirty Jain and Sanyam Shukla, "A Reduced KELM model  using  DBSCAN Clustering algorithm for centroid selection,"   2018 5th International  Conference  on   Signal   Processing   and   Integrated Networks (SPIN),Noida, pages 702-707, 2018.
  6. Sanyam Shukla, Ram Narayan Yadav, Lokesh Naktode, “Correlation Based Extreme Learning   Machine”, 2016 9th International Conference on Developments in eSystems Engineering (DeSE), pages. 268-272, 2016
  7. Shivani Samdani, Sanyam Shukla, “A novel technique for converting nominal attributes to numeric attributes for intrusion detection” 2017 8th International Conference on Computing, Communication and Networking Technologies (ICCCNT), pages. 1-5, 2017
  8. Sanyam Shukla, Jivitesh Sharma, Shankul  Khare,  Sammrudhi Kochkar,  Vanya Dharni, “A novel sparse ensemble pruning algorithm using a new diversity measure”                 2015 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC), pages. 1-4,  2015
  9. Sanyam Shukla, Ram Narayan Yadav, “Voting based Extreme learning machine with entropy based ensemble pruning”, 2015 International Conference on Cognitive Computing and Information Processing (CCIP), pages. 1-6, 2015
  10. Sanjay Yadav, Sanyam Shukla, “Analysis of k-Fold Cross-Validation over Hold-Out Validation on Colossal Datasets for Quality Classification” 2016 IEEE 6th International Conference on Advanced Computing (IACC), pages. 78-83, 2016
  11. Sanyam Shukla, Ram Narayan Yadav, Jivitesh Sharma, Shankul Khare, “Analysis of statistical features for fault detection in ball bearing“, pages. 1-7, 2015 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC), 2015

Number of P.G. Projects guided

15

Administrative work done

  • Warden H2 2009-2011
  • Deputy Controller of Examination 2015- till date