Dr. Mukta Goyal

Education

B.Tech (Computer Science & Engineering), M.Tech (Computer Science), Ph.D (Computer Science & Engineering)

Biography

Dr. Mukta Goyal,currently working as an Associate Professor, Department of CS&E and IT, Noida, attained the doctorate in the domain of E-learning. She has 24 + years of teaching experience. She is an active researcher in the field of E-learning, E-governance, Blockchain. She has more than 50 papers, one edited book on” E-learning Methodologies: Fundamentals, technologies and applications (Vol.40). IET.”  She has guided various M.Tech Thesis, more than 100 B.Tech projects and one Ph.D thesis submitted in her credit. She is also a reviewer of reputed Journals.

Work Experience 24+ years

Interest Area(s)

E-learning, E-governance, Blockchain, Soft Computing Techniques, Theory of Computation, Compiler

Participation/Organizing Member In Seminars/ Workshops/ Courses

• Participate two-week Summer School on Industry 4.0: Security and Technological Aspects (SSIST’2021) Department of Computer Science and Engineering of Jaypee Institute of Information Technology, Noida from 9th August to 21st August 2021.
• Participate two weeks training program for AICTE Student Learning Assessment – STTPPARAKH in collaboration with Construction Industry Development Council (CIDC) from 07 March, 2022 to 22 March, 2022 Attended Two day workshop on “IPR and Patenting in India”, organized by Department of Biotechnology, held from 29-11-2019 to 30-11-2019 in JIIT, Noida.
• Attended one week FDP “Advance in Network Modelling & Optimization Technology”, held from 3^rd June to 8^th June, 2019 in JIIT, Noida.
• Attended two days “National workshop on Computational Intelligence (NWCI-2019)” held from 26-4-2019 to 27-4-2019 in JIIT, Noida
• Attended workshop on “Soft Computing and Language Processing”, organized by Department of computer science from 27^th April to 28^th April 2018, in JIIT Noida.
• Attended one week workshop on Data Mining and Business Intelligence through ICT, organized by National Institute of Technical Teachers Training and Research Chandigarh from 4-9 2017 to 8-9-2017, JIIT, Noida
• Attended eight International Conferences on Contemporary Computing from 2008-2019, at JIIT Noida.
• Attended short course on “Workshop on Data Analytics & its security Issues” organized by the Department of Computer Science Engineering and Information Technology held from 4^th-5^th Dec, 2015.
• Attended short course on “Advanced Computing Methods” organized by the department of Mathematica, held from 21-26, July, 2014 at JIIT, Noida.
• Attended IUCEE (Indo-US Collaboration for Engineering Education) Workshop on
• Data Mining and Data Warehousing from 27 June -1 July 2011 by Prof (G. Amarendar Rao) at Guru Nanak Engineering College, Hyderabad.
• Attended IUCEE (Indo-US Collaboration for Engineering Education) Workshop on Compiler Design using Matlab from 28 June -2 July 2010 at Chitkara University, Chandigarh.
• Attended short course on “Genetic Algorithms” taken by Prof Rao Vemuri (University of
• California, Davis, USA) held from 8-10 Nov 2010 at JIIT Noida.
• Attended short course on “Faculty Training Program” held from 9-11 April, 2008 at Accenture.
• Attended two-day workshop on “Towards Academic Excellence in CSE and IT” held at JIIT, Noida in 2007.
• Attended three day workshop on “Assembly instructions for PSP/TSPi ” held at  JIIT, Noida in  2004.

Organized Workshop/Conference

• Organized two week Summer School on Quantum Computing and its Application (QCA,22)  organized by Department of Computer Science from July 25,2022, Aug 6,2022, in JIIT Noida.
• Organized one-week FDP on “BLOCKCHAIN TECHNOLOGIES AND APPLICATIONS (BCT-2020)”, organized by Department of Computer Science from DEC 28, 2020-JAN 2, 2021, in JIIT Noida.
• Organized workshop on “Soft Computing and Language Processing”, organized by Department of Computer Science from 27^th April to 28^th April 2018, in JIIT Noida

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.

Patent

• Saini, Dinesh Kumar; Abusham, Eimad; Goyal, Mukta; Mishra, Bimal Kumar; Nayyar, Anand and Kumar, Adarsh(2020),   DROWSY DRIVER DETECTION SYSTEM USING AVERAGE LOCAL BINARY STRUCTURE , IP Australia, Patent- No. 2020102438,  Granted , 28 October 2020.
• Kumar Saini, Dinesh; Saini, Hemraj; Rathee, Geetanjali; Jindal, Himasnshu and Goyal, Mukta (2021), A SYSTEM AND A METHOD FOR REAL TIME MONITORING AND IDENTIFICATION OF ENDANGERED ANIMALS,  IP Australia, Patent- No.  2020103515 , Granted, 13 January 2021

International Journal:

• Kumar, S. R., & Goyal, M. (2023). Design of an incremental learning model for shard management in performance-aware blockchains: GA-TLEHO approach. Multimedia Tools and Applications, 1-22.
• Ravi Kumar, S., & Goyal, M. (2023). TISCMB: design of a highly efficient blockchain consensus model with trust integrated self-correcting miner selection. International Journal of Information Technology, 15(4), 1845-1858.
• Tyagi, N. K., & Goyal, M. (2023). Blockchain‐based smart contract for issuance of country of origin certificate for Indian Customs Exports Clearance. Concurrency and Computation: Practice and Experience, 35(16), e6249.
• Dubey, K. B., & Goyal, M. (2022). Smart certificate using blockchain. Journal of Computer Science, 18, 877-884.
• Goyal, M., Gupta, C., & Gupta, V. (2022). A meta-analysis approach to measure the impact of project-based learning outcome with program attainment on student learning using fuzzy inference systems. Heliyon, 8(8).
• Mehta, S., Goyal, M., & Saini, D. (2022). Efficient Bitcoin Mining Using Genetic Algorithm-Based Proof of Work. International Journal of Fuzzy System Applications (IJFSA), 11(2), 1-17.
• Tyagi, N. K., &Goyal, M. (2021). Blockchain‐based smart contract for issuance of country of origin certificate for Indian Customs Exports Clearance”, Concurrency and Computation: Practice and Experience,, ISSN:1532-0626 (print), ISSN: 1532-0634 (Online). (Published, Indexed in ISI Thomson Reuter, SCI-Expanded, Scopus, SJR: 0.309, SNIP: 1.447, H Index: 67
• Nitin K Tyagi and MuktaGoyal (2021), “Two Tier model of Exports Drawback Fraud Detection System using Intuitionist Fuzzy Game Theory”, Intelligent Decision Technologies: An International Journal,,ISSN:1872-4981 (print), ISSN: 1875-8843  (Online). (Accepted, Indexed in ISI Thomson Reuter, Scopus, SJR: 0.206, SNIP: 1.24, H Index: 13.
• Goyal, M., and  Tyagi, N.*(2021),  “Assessment and Adoption analysis for Smart Governance using Fuzzy Conjoint Model”, Recent Advances in Computer Science and Communications, ISSN: 2666-2558 (print), ISSN: 2666-2566 (Online). (Published, Scopus, SJR: 0.139, SNIP:0.76,H Index:12).
• Goyal, M., & Gupta, C., “Intuitionistic Fuzzy Decision Making Towards Efficient Team Selection in Global Software Development”, Journal of Information Technology Research (JITR), 13(2), 75-93, 2020.[Scopus, Google Scholar, SJR: 0.184, H index:10]
• Goyal, M., Krishnamurthi, R., Gupta, G., & Sharma, A., “Intelligent Techniques for Prediction of Engineering Colleges After XII”, International Journal of Swarm Intelligence Research (IJSIR), 11(1), 24-43, 2020.[Scopus, Google Scholar, SJR: 0.13,  H index:3]
• Krishnamurthi, R., &Goyal, M., “Dynamic energy-saving approaches in mobile cloud computing: issues, challenges and approaches”, International Journal of Cloud Computing, 8(4), 332-353, 2019.[Scopus, Google Scholar, SJR: 0.15,  H index:4]
• Krishnamurthi, R., &Goyal, M., “Automatic detection of career recommendation using fuzzy approach. Journal of Information Technology Research (JITR), 11(4), 99-121, 2018.Scopus, Google Scholar, SJR: 0.184, H index:10]
• 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].
• 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: 

• Goyal, Mukta, Nitin Kumar Tyagi, and Dinesh Kumar Saini. "Requirement Identification for Blockchain-based Secure Transmission of Oil and Gas." In 2023 Second International Conference on Informatics (ICI), pp. 1-6. IEEE, 2023.
• Tyagi, N. K., & Goyal, M. (2023, August). Investigating Security Vulnerabilities and Tools of Blockchain Smart Contract: A Review. In Proceedings of the 2023 Fifteenth International Conference on Contemporary Computing (pp. 616-622).
• Kumar, S. R., & Goyal, M. (2022, December). Administration of Digital Identities Using Blockchain. In 2022 5th International Conference on Contemporary Computing and Informatics (IC3I) (pp. 2179-2183). IEEE.
• Kumar, S. R., & Goyal, M. (2022, September). Administration of Vaccine Mechanism for COVID-19 Using Blockchain. In International Conference on Electronic Governance with Emerging Technologies (pp. 36-48). Cham: Springer Nature Switzerland.
• Garg, S., Goyal, S., Grover, P., Singh, A., & Goyal, M. (2022, April). Optimal Resource Allocation during Epidemics using Reinforcement Learning. In 2022 1st International Conference on Informatics (ICI) (pp. 98-102). IEEE.
• Mukta Goyal, Nitin Tyagi,” Intutionistic Fuzzy Set based COVID-19 Risk of Infection Prediction for Smart Health Governance,5^th International Conference on Recent Advances in Mathematical Sciences and its Application (RAMSA), Dec-02-04,2021,JIIT,Noida.
• Nitin K Tyagi, MuktaGoyal and Adarsh Kumar, “Game Theory based Proof of Stake mining in Block chain for Sustainable Energy Efficiency”, International Conference on Artificial Intelligence and Sustainable Engineering (AISE-2020) (Accepted, Indexed in Scopus)
• Goyal, M., Gupta, N., Jain, A., &Kumari, D. (2020). Smart Government E-Services for Indian Railways Using Twitter. In Micro-Electronics and Telecommunication Engineering (pp. 721-731). Springer, Singapore.
• Krishnamurthi, R., &Goyal, M. (2019, November). Energy Efficient Content Based Image Retrieval Recommender System in Mobile Cloud. In International Conference on Recent Developments in Science, Engineering and Technology (pp. 186-203). Springer, Singapore
• Goyal, M., Krishnamurthi, R., Varma, A., &Khare, I. (2019, November). Classification of IRIS Recognition Based on Deep Learning Techniques. In International Conference on Recent Developments in Science, Engineering and Technology (pp. 342-355). Springer, Singapore
• 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.
• MuktaGoyaland 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.

Editing Book:

• Goyal, M., Krishnamurthi, R., & Yadav, D. (Eds.). (2021). E-learning Methodologies: Fundamentals, technologies and applications (Vol.40). IET..

Book Chapters:

• Goyal, M., Yadav, D., &Sood, M. (2021). Student performance prediction for adaptive e-learning systems. E-Learning Methodologies: Fundamentals, Technologies and Applications, 79.
• Kumar, A., Aggarwal, A., Sharma, K., &Goyal, M. (2021). Active learning in E-learning: A case study to teach elliptic curve cryptosystem, its fast computational algorithms and authentication protocols for resource constraint RFID-sensor integrated mobile devices. E-learning Methodologies: Fundamentals, Technologies and Applications, 285-317.
• Goyal, M., & Kumar, A. (2021). Sustainable E‐Infrastructure for Blockchain‐Based Voting System. Digital Cities Roadmap: IoT‐Based Architecture and Sustainable Buildings, 221-251.
• Tyagi, N. K., &Goyal, M. (2021). Contextualizing Electronic Governance, Smart City Governance and Sustainable Infrastructure in India: A Study and Framework. Digital Cities Roadmap: IoT‐Based Architecture and Sustainable Buildings, 163-191.
• 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.

Ph.D. Supervision

Awarded: 1

• Nitin Kumar Tyagi- Smart E-governance using Blockchain and Intelligent Techniques “Effective Techniques for Privacy-Preserving Publication of Transactional Data” , Completed October 11, 2022
• Ongoing: 2
•  Krishna Bihari Dubey- Blockchain in Education.
• Shipra Ravi Kumar-Optimization Techniques in Blockchain.

Invited Talks

• Expert Lecture on “Soft Computing Techniques in E-learning for three days National Symposium on “Intelligent Systems- Techniques and Research Applications held from Dec 20^th to 22^nd 2018.
• Expert Lecture on “e-learning and enabling Technologies” in Faculty development Programme on Information Systems Frontiers held from 5^th June to 10^thJune, 2017