Dr. Ashish Singh Parihar

Qualifications

• Ph.D. (Jan. 2020 – Mar. 2023) (Thesis Title: Design and implementation of novel DME algorithms in FANET and their integration using ML techniques) from National Institute of Technology, Arunachal Pradesh, India.

• M.Tech. (Computer Science and Engineering), July. 2017 – June 2019 from National Institute of Technology, Arunachal Pradesh, India.

• B.E.(Computer Science and Engineering), July 2008–May 2012 from RGPV, Bhopal, Madhya Pradesh.

• Qualified GATE-2017 under Computer Science & Engineering, (Enrolment Id: R106J85)
• Qualified UGC NET-2018 under Computer Science & Application (Application Id: 80879837 and Roll No: 05003068)

Biography

Currently, I am working as an Assistant Professor (Senior Grade) in the department of Computer Science & Engineering and Information Technology at Jaypee Institute of Information Technology Sector-62, Noida. I received my Bachelor of Engineering (B.E.) in the department of Computer Science and Engineering from Oriental Institute of Science & Technology affiliated to RGPV, Bhopal (India) and also completed my Master of Technology (M.Tech) in the department of Computer Science and Engineering from National Institute of Technology (NIT), Arunachal Pradesh, Govt. of India. Before academics, I served more than 5 years in industry as a senior software engineer. I defended my Ph.D. from National Institute of Technology (NIT), Arunachal Pradesh, under the supervision of Dr. Swarnendu Kumar Chakraborty on March 2023. My research areas are distributed systems, machine learning, blockchain and big data.

Work Experience

8+ Years in Academics and Corporate.

• August 2022 to till date: Jaypee Institute of Information Technology, Noida
• June2021 to August 2022: KIET Group of Institutions, Ghaziabad
• July 2019 to June-2021: DIT University, Dehradun
• February 2013 to July 2017: Impetus Technologies, Indore

Interest Area(s)

• Distributed systems
• Big DATA
• Blockchain
• Machine learning
• Programming interfaces

Key Skills

• Technical Subjects: Database, Operating system, Compilers, Theory of Computation, Digital circuits, Data Structure, Algorithms, Computer Network.
• Programming Languages: C, Core JAVA, J2EE, JavaScript
• Framework: Spring, JQuery
• Database: MySQL, Oracle
• Other Technologies: Apache Hadoop, Apache Storm, Apache Chef, Oracle BPEL, XML, Automation (Selenium), Jenkins, Maven, Big Data

Publications

International Journals:

                                                                                                                                    SCI/SCIE Indexed

• Parihar A.S., Chakraborty S.K., Sharma A. & Saini M. (2023) A comparative study and proposal of a novel distributed mutual exclusion in UAV assisted flying ad hoc network using density-based clustering scheme. Wireless Networks, Springer, Impact Factor: 3.0, https://doi.org/10.1007/s11276-023-03327-3

• Gupta A., Barthwal A., Vardhan H., Kakria S., Kumar S., Parihar A. S. (2023) Evolutionary study of distributed authentication protocols and its integration to UAV-assisted FANET. Multimedia Tools and Applications, Springer, Impact Factor: 3.6, https://doi.org/10.1007/s11042-023-15197-0
• Parihar A.S., Chakraborty S.K. (2022) Token based k-mutual exclusion for multi-UAV FANET. Wireless Personal Communications, Springer, Impact Factor: 2.2, https://doi.org/10.1007/s11277-022-09886-6
• Parihar A.S.,Chakraborty S.K. (2022) Handling of resource allocation in flying ad hoc network through dynamic graph modeling. Multimedia Tools and Applications, Springer, Impact Factor: 3.6, https://doi.org/10.1007/s11042-022-11950-z
• Parihar A.S.,Chakraborty S.K. (2022) A simple R-UAV permission-based distributed mutual exclusion in FANET. Wireless Networks, Springer, Impact Factor: 3.0, https://doi.org/10.1007/s11276-022-02889-y
• Parihar A.S.,Chakraborty S.K. (2021) Token-based approach in distributed mutual exclusion algorithms: A Review and Direction to future research. The Journal of Supercomputing, Springer, Impact Factor: 3.3, https://doi.org/10.1007/s11227-021-03802-8

                                                                                                                                        Scopus Indexed

• Parihar A.S.,Chakraborty S.K. (2021) A New Resource Sharing Protocol in the Light of Token-based Strategy for Distributed system. International Journal of Computational Science and Engineering, Cite score: 1.5, IF: 2.0, Vol. 26, No. 1, pp.78–89, https://doi.org/10.1504/IJCSE.2023.129149

International Conferences:

• Parihar A.S.,Pandey A.  (2023). Proposing a novel key agreement protocol for flying ad hoc network. The International Conference on Contemporary Computing (IC3), ACM ICPS ISBN Number: 979-8-4007-0022-4, pp. 711-715. https://doi.org/10.1145/3607947.3608087
• Parihar A.S.,Gupta, U., Srivastava, U., Yadav, V., Trivedi, V.K.  (2022). Automated Machine Learning Deployment Using Open-Source CI/CD Tool. Ashish Khanna et al. (Eds): Proceedings of Data Analytics and Management (ICDAM 2022), Lect. Notes in Networks, Syst., Vol. 572. Springer, Singapore. https://doi.org/10.1007/978-981-19-7615-5_19
• Parihar A.S.,Chakraborty S.K. (2022) Flying ad hoc network (FANET): Opportunities, trending applications and simulators. IEEE PuneCon 2022, https://doi.org/10.1109/PuneCon55413.2022.10014779
• Parihar A.S.,Chakraborty, S.K. (2022). A Cross-Sectional Study on Distributed Mutual Exclusion Algorithms for Ad Hoc Networks. In: Gupta, D., Sambyo, K., Prasad, M., Agarwal, S. (eds) Proceedings of International Conference on Advanced Machine Intelligence and Signal Processing. Pattern Recognition and Data Analysis with Applications. Springer, Singapore. https://doi.org/10.1007/978-981-19-1520-8
• Parihar A.S.,Prasad D., Gautam A.S., Chakraborty S.K. (2020) Proposed end to end automated e-voting through blockchain technology to increase voter’s turnout. International Conference on Machine Intelligence and Data Science Applications (MIDAS-2020) for Springer publication on ”Algorithms for Intelligent Systems”. https://doi.org/10.1007/978-981-33-4087-9_5

Book Chapter:

• Singh V.K., Parihar A.S., Prakash C. (2020) ”Industrial Revolution 4.0: A Critical Review on IoT Based Smart Manufacturing Technologies and Application”, Chapter 4, Internet of Things and Businesses in a Disruptive Economy, ISBN: 978-1-53618-958-2, Nova Science Publishers, USA

Patent:

• Parihar A.S.,Chakraborty S.K. (2022). Application Number: 202211024840, Indian Patent Journal Number18/2022, Date of Publishing: 06 May 2022. Title of Invention: MACHINE LEARNING CLUSTERING APPROACH FOR RESOURCE SHARING IN DRONE-ASSISTED FLYING AD HOC NETWORK. Field of Invention: Computer Science and Engineering, In affiliation to Department of Computer Science Engineering, National Institute of Technology, Arunachal Pradesh, India, 791113
• Vardhan H., Parihar A.S. (2022). Application Number: 202211024979, Indian Patent Journal Number18/2022, Date of Publishing: 06 May 2022. Title of Invention: STOCK MARKET PREDICTION USING PROPOSED NUMERIC RANKING TECHNIQUE. Field of Invention: Computer Science and Engineering, In affiliation to Department of Computer Science, KIET Group of Institutions, Ghaziabad, Uttar Pradesh 201206

Conferences/ Workshops Attended 

• Participated and completed successfully AICTE Training And Learning (ATAL) Academy Online FDP on ”Artificial Intelligence” from 2020-8-31 to 2020-9-4 at College of Engineering and Management, Kolaghat.
• Participated and completed successfully AICTE Training And Learning (ATAL) Academy Online FDP on ”Data Sciences” from 2020-8-24 to 2020-8-28 at Tripura Institute of Technology.
• Participated and successfully completed a five days workshop on “Data Science” organized by Department of Computer Science Engineering, NIT Arunachal Pradesh from 4th August – 8th August 2020 in online mode, sponsored by TEQIP III.
• Delivered talk on a topic in one-week (10^th June to 16^th June 2020) FDP on “Emerging technology: Research issues and challenges” organized by SVNIET, Lucknow (U.P.).
• Participated and completed successfully AICTE Training And Learning (ATAL) Academy Online FDP on ”Research Trends in Computer Vision and Natural Language Processing” from 2021-07-19 to 2021-07-23 at The NorthCap University.
• Participated and completed successfully AICTE Training And Learning (ATAL) Academy Online FDP on ”Software Testing : Emerging Trends” from 26/07/2021 to 30/07/2021 at Manipal University Jaipur.

Authorized Reviewer (Publons, Web of Science)

• The Journal of Supercomputing (SCI/SCIE) Springer publisher, Impact factor: 3.3
• Wireless Personal Communications (SCI/SCIE) Springer publisher, Impact factor: 2.2
• The Computer Journal (SCI/SCIE) Oxford University Press, Impact factor: 1.494
• Journal of King Saud University - Computer and Information Sciences (SCI/SCIE), Elsevier, Impact factor: 6.9