Admission Query 2024
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Mr. Ankur Sisodia

Mr. Ankur Sisodia

  • Assistant Professor
    Institute of Engineering & Technology

  • Department

    Department of Computer Engineering & Applications

  • Contact Details:

    Email : ankur.sisodia@gla.ac.in

    Contact Number :8218362110

  • Experience

    7.6 Years

  • Qualifications

    • Pursuing Ph.D. from Banasthali Vidyapith Jaipur,India
    • M.Tech (CSE) from Dr. A.P.J. Abdul Kalam Technical University (APJAKTU) (formerly Uttar Pradesh  Technical University), Lucknow, India
    • B.Tech (IT) from Uttarakhand Technical University, Dehradun, India

  • Ph.D

    Thesis Supervised

  • Awarded/ Completed-

    Working-

  • Postgraduate

    Thesis Supervised

  • Awarded/ Completed-

    Working-

Research Publication:

SCI :01

  • Jain, Arpit, Tushar Mehrotra, Ankur Sisodia, Swati Vishnoi, Sachin Upadhyay, Ashok Kumar, Chaman Verma, and Zoltán Illés. "An enhanced self-learning-based clustering scheme for real-time traffic data distribution in wireless networks." Heliyon (2023).

Scopus Journal: 07

  • Sisodia, A., & Yadav, A. K. (2023). Performance analysis of IoT networks in terrestrial environment utilizing LZW data compression technique. Review of Computer Engineering Research, 10(4), 165-181.
  • Sisodia, A. ., & Yadav, A. K. . (2023). Analysis of the Performance of IoT Networks in Acoustic Environment by using LZW Data Compression Technique. International Journal on Recent and Innovation Trends in Computing and Communication, 11(9s), 311–321. https://doi.org/10.17762/ijritcc.v11i9s.7425
  • Khenwar, M., Sisodia, A., Vishnoi, S., & Kumar, R. (2023). “Exploration: Cloud Computing Scheduling Techniques”. Scandinavian Journal of Information Systems, 35(1), 673-679.
  • Sisodia, A., & Yadav, A. K. (2022). “Confabulation of Different IoT Approaches with and without Data Compression”. Computer Integrated Manufacturing Systems, 28(11), 963-981.
  • Sisodia, A., Vishnoi, S., Khenwar, M., Mehrotra, T., Agrawal, S., & Upadhyay, S. (2022). “Online or Offline Exam in Covid-19 Pandemic: Analysis and Assessment in the Context of Students/Staff and its Impacts.” Central European Management Journal, 30(4), 2120-2128.
  • Vishnoi, S., Sisodia, A., Mehrotra, T., Khenwar, M., Upadhyay, S., & Agrawal, S. (2022). “Land Cover Classification of Satellite Imagery using Fuzzy Hybrid Approaches by incorporating Contextual Information. Computer Integrated Manufacturing Systems”, 28(12), 1572-1587.
  • Ankur Sisodia, Swati, Hina Hashmi (2020)„ Incorporation of Non-Fictional Applications in Wireless Sensor Networks „International Journal of Innovative Technology and Exploring Engineering (IJITEE)‟, ISSN: 2278–3075 (Online), Volume-9 Issue-11, September 2020, Page No. 42-49.

Scopus Conferences: 05

  • Sisodia and A. K. Yadav, "A Comprehensive Analysis of Environmental Parameters of Underwater Sensor Network," 2023 12th International Conference on System Modeling & Advancement in Research Trends (SMART), Moradabad, India, 2023, pp. 259-263, doi: 10.1109/SMART59791.2023.10428191.
  • Sisodia, A., & Yadav, A. K. (2022, December). “Internet of Things: A Comparative Analysis of Network Terminologies with and without Data Compression Techniques”. In 2022 11th International Conference on System Modeling & Advancement in Research Trends (SMART) (pp. 236-242).
  • Khenwar, M., Vishnoi, S., & Sisodia, A. (2022, December). ”An Assessment of Milk Adulteration IoT Based Model to Identify the Quality of Milk using Lab View.” In 2022 11th International Conference on System Modeling & Advancement in Research Trends (SMART) (pp. 868-873). IEEE.
  • Sisodia, A., Vishnoi, S., Upadhyay, S., & Chauhan, D. (2022, December).” DLC Algorithm for Milk Contamination Categorization”. In 2022 11th International Conference on System Modeling & Advancement in Research Trends (SMART) (pp. 931-935). IEEE.
  • Ankur Sisodia and Dr. Shakti Kundu, (2019) “Enrichment of performance of operation based routing protocols of WSN using Data Compression”8 th IEEE International Conference on System Modeling & Advancement in Research Trends.ISBN:978-1-7281-3245-7.

UGC Journal :01

  • Swati, Ankur Sisodia (2021). “Exploration in COVID-19 Pandemic: Analysis and Assessment of Online learning with Offline learning in the context of students”, The Online Journal of Distance Education and e-Learning (TOJDEL), Volume-9, Issue-4.

Book Chapter :01

  • Sisodia, A., Vishnoi, S., & Yadav, A. K. (2023). To Brace Society 5.0: Enhanced Reliability with a Cost-Effective Protocol for Underwater Wireless Sensor Network. In Sustainable Computing: Transforming Industry 4.0 to Society 5.0 (pp. 171-185). Cham: Springer International Publishing.

National Conference: 05

  • Swati Vishnoi, Ankur Sisodia, Anjali(2022). “Diagnosis of Fouled milk using Internet of Things”, Machine Learning and Blockchain Technologies (MLBT2022), CIIR, Noida.
  • Ankur Sisodia and Swati, (2020) “A Review: Implementing IOT technologies in Defence Mechanism”, National Conference Industry 4.0, ISBN: 978-93-5396- 250-0.
  • Ankur Sisodia,(2019) “Enrichment in performance of Network structured routing protocols of WSN”, International Conference on Advance Computing, ISBN:976-93-5351-850-9.
  • Ankur Sisodia and Rajnesh Singh (2014) “Assessment of Performance of WSN Routing Protocols using Data Compression” National Conference on Natural Calamities and Mitigating Strategies: Options for Better tomorrow ISBN: 978-93- 81771-32-7 First Edition: 2014.
  • Ankur Sisodia and Akhil Dubey (2014) “A Wireless Sensor Network and its Realistic Applications: A Survey” National Conference on Natural Calamities and Mitigating Strategies: Options for Better tomorrow ISBN: 978-93-81771-32-7 First Edition: 2014.

Published Patent : 03

  • Indian Patent published titled “Access in 4-G, 5-G Mobile Network Environments”.
  • Indian Patent published titled “Artificial Intelligence and IoT based safe route detection and evacuation through ant-colony optimization”.
  • Indian Patent published titled “IoT and Artificial Intelligence based smart agriculture monitoring system with predictive analysis using neural network classification techniques for high crop productivity prediction”.

Published Copyrights: 02

  • Canadian Copyright registered titled “IoT and AI based sensor array technique for sailing vessels motion monitoring”.
  • Canadian Copyright registered titled “AI and Image processing based system for concoction proportion verification for pharmaceutical industry”.

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