Admission Process Open for AY 2022-23.

Jaypee Institute of Information Technology, Noida
  • JIIT
  • JIIT
  • JIIT
Assistant Professor (Senior Grade)
mukta.goyal@jiit.ac.in

Education

B.Tech(CSE), M.Tech(CS)

Biography

Work Experience 9+years

Interest Area's

Theory of Computation, Cryptography, Compiler

Publications

  • Krishnamurthi, R., & Goyal, M. (2019). Enabling Technologies for IoT: Issues, Challenges, and Opportunities. In Handbook of Research on Cloud Computing and Big Data Applications in IoT (pp. 243-270). IGI Global.
  • Goyal, M., & Krishnamurthi, R. (2019). An Enhanced Integration of Voice-, Face-, and Signature-Based Authentication System for Learning Content Management System. In Biometric Authentication in Online Learning Environments (pp. 70-96). IGI Global.
  • Krishnamurthi, R., & Goyal, M. (2019). Hybrid Neuro-fuzzy Method for Data Analysis of Brain Activity Using EEG Signals. In Soft Computing and Signal Processing (pp. 165-173). Springer, Singapore.
  • Goyal, M., & Krishnamurthi, R. (2019). Pedagogical Software Agents for Personalized E-Learning Using Soft Computing Techniques. In Nature-Inspired Algorithms for Big Data Frameworks (pp. 319-338). IGI Global.
  • Goyal, M., & Krishnamurthy, R. (2018). Optimizing student engagement in online learning environments: Intuitionistic fuzzy logic in student modeling. In Intelligent Systems: Concepts, Methodologies, Tools, and Applications (pp. 671-702). IGI Global.
  • Goyal, M., Choubey, A., and Yadav, D., “Cognitive Models and its Current  Challenges”,5th International Conference on Information Systems, Technology and Management(ICISTM-2011), Springer Series in Communications in Computer and Information Science (CCIS), Volume 141, 8., ISSN 1865-0929, ISBN: 978-3-642-19422-1, pp. 355-358, March 2011.

International Journal:

  • Goyal, M., Krishnamurthi, R., Gupta, G., & Sharma, A. (2020). Intelligent Techniques for Prediction of Engineering Colleges After XII. International Journal of Swarm Intelligence Research (IJSIR), 11(1), 24-43.
  • Krishnamurthi, R., & Goyal, M. (2019). Dynamic energy-saving approaches in mobile cloud computing: issues, challenges and approaches. International Journal of Cloud Computing, 8(4), 332-353.
  • Krishnamurthi, R., & Goyal, M. (2018). Automatic detection of career recommendation using fuzzy approach. Journal of Information Technology Research (JITR), 11(4), 99-121.
  • Goyal M., Tripathi A., and Yadav D., “Identifying the Status of Student’s Knowledge Acquisition through Intuitionistic Fuzzy Group Decision Making”, International Journal of Fuzzy System Application, vol. 5, issue 3, pp.14-29, Sep. 2016. [Scopus, ACM Digital Library, DBLP, Google Scholar, SJR: 0.27, SNIP :0.86, H index:7]
  • Goyal M., Yadav D., and  Tripathi A., “Intuitionistic Fuzzy Genetic Weighted  Averaging Operator and its Application for  Multiple Attribute Decision Making  in E-Learning”, Indian Journal of Science and Technology, vol. 9, no.1, pp. 1-15, Jan. 2016. [ISI Thomson Reuter, Scopus, SJR: 1.3, H index:22, H5 index 17]
  • Goyal M., Tripathi A., and Yadav D., "Aggregating  Evaluation using Dynamic  Weighted Intuitionistic Fuzzy Approach for Concept Sequencing in an E-Learning System", Int. J. of Mathematical Modeling and Numerical Optimization, vol. 7, no.1, pp. 44-65, Jan 2016. [Scopus, DBLP, Google Scholar, SNIP: 0.77, H index: 7]
  • Goyal M., Yadav D., and  Tripathi A., "Intuitionistic Fuzzy Approach to Classify the User Based on Assessment of Learner’s Knowledge Level in E-Learning Decision Making”, Journal of Information Processing System, Online Dec. 2014.[Scopus, DBLP,Google scholar, SNIP: 5.08, H index: 13, H5 index 18].
  • Goyal M., Yadav D., and Choubey A., “E-learning: Current State of Art and Future Prospects,” IJCSI International Journal of Computer Science Issues, vol. 9, issue. 3, no. 2, May 2012 [Google Scholar, H5 index 19, H5 median 30].

International Conference: 

  • Valecha, H., Varma, A., Khare, I., Sachdeva, A., & Goyal, M. (2018, November). Prediction of Consumer Behaviour using Random Forest Algorithm. In 2018 5th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON) (pp. 1-6). IEEE.
  • Krishnamurthi, R., & Goyal, M. (2018, November). Optimization of Capacity Allocation Problem in 4G LTE Mobile Networks. In 2018 5th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON) (pp. 1-5). IEEE.
  • Goyal, M., Yadav, D., & Sood, M. (2018, November). Decision Making for E-learners based on Learning Style, Personality, and Knowledge Level. In 2018 5th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON) (pp. 1-5). IEEE.
  • Goyal, M., & Rajalakshmi, K. (2018). Personalization of test sheet based on bloom’s taxonomy in e-learning system using genetic algorithm. In Recent Findings in Intelligent Computing Techniques (pp. 409-414). Springer, Singapore.
  • Rajalakshmi, K., & Goyal, M. (2018). Location-Based Services: Current State of The Art and Future Prospects. In Optical and Wireless Technologies (pp. 625-632). Springer, Singapore.
  • Krishnamurthi, R., & Goyal, M. (2018). Load Optimization in Femtocell Using Iterative Local Search Heuristics in an Enterprise Environment. In Proceedings of First International Conference on Smart System, Innovations and Computing (pp. 575-584). Springer, Singapore.
  • Jain, S., Kaur, P., Goyal, M., & Dhanalekshmi, G. (2017, August). CPLAG: Efficient plagiarism detection using bitwise operations. In 2017 Tenth International Conference on Contemporary Computing (IC3) (pp. 1-5). IEEE.
  • Agarwal. S, Goyal.M,  Kumar.A , Rajalakshmi .K, “ Intuitionistic Fuzzy Ant Colony Optimization for Course Sequencing in ELearning”, Ninth International Conference on Contemporary Computing, 2016 .
  • Kumar.A,  Goyal .M, Rajalakshmi.K, Aggarwal.A, “ A Simulation Annealing based Anti‐Collision Protocol for RFID Tag Identification” Ninth International Conference on Contemporary Computing, 2016 .
  • Goyal M., Yadav D., and Tripathi A., “Intuitionistic Fuzzy Approach for Adaptive Presentation in an E-learning Environment”, 2015 IEEE International Conference on Research in Computational Intelligence and Communication Networks, Kolkata, pp. 108-113 Nov. 2015.
  • Goyal M., Yadav D., and Choubey A., “Fuzzy Approach to Detect Learning Style using Mccarthy Model as a Tool for E-Learning System”, 4th IEEE International Symposium on ETLIS, pp.295-300, Jan. 2015.
  • Srivastava, M. and Goyal, M., 2013, September. Personalization of automatic e-mail response for the university system. In Confluence 2013: The Next Generation Information Technology Summit (4th International Conference) (pp. 485-489). IET.
  • Goyal M., Yadav D., and Choubey A., “Fuzzy LogicApproach for Adaptive Test Sheet Generation in E-learning”, IEEE, ICTEE 2012,  IEEE, pp 1-4 , Jan. 2012. [Scopus]
  • Saini, D.K., Prakash, L.S. and Goyal, M., 2012, July. Emerging information technology and contemporary challenging R & D problems in the area of learning: An artificial intelligence approach. In 2012 IEEE International Conference on Engineering Education: Innovative Practices and Future Trends (AICERA).
  • Srivastava, M. and Goyal, M., 2013, September. Personalization of automatic e-mail response for the university system. In Confluence 2013: The Next Generation Information Technology Summit (4th International Conference) (pp. 485-489). IET.
  • Mukta Goyal and Shelly Sachdeva, “Enhancing Theory of Computation teaching through integration with other courses,” International Journal of Recent Trends in Engineering (IJRTE), ISSN 1797-9617,Page(s): 137-140.