Dr. AMITKUMAR SUBHASHRAO MANEKAR

@ssgmce.ac.in

PROFSSOR AND HEAD
SHRI SANT GAJANAN MAHARAJ COLLEGE OF ENGINEERING SHEGAON

Dr. AMITKUMAR SUBHASHRAO MANEKAR


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https://researchid.co/asmanekar24

RESEARCH, TEACHING, or OTHER INTERESTS

Multidisciplinary, Computer Networks and Communications, Information Systems, Computer Engineering
21

Scopus Publications

198

Scholar Citations

6

Scholar h-index

6

Scholar i10-index

Scopus Publications

  • Decentralized solutions for healthcare: A comprehensive analysis of blockchain’s impact on data privacy, interoperability, and supply chain integrity
    Amitkumar Manekar, Shreya Tiwari, Gauri Khandar, Ameya Mandwale, Nagesh Paturkar, Apurva Gore
    Artificial Intelligence Computational Intelligence and Inclusive Technologies Proceedings of International Conference on Artificial Intelligence Computational Intelligence and Inclusive Technologies Icraic2it 2025, 2026
  • A Smart and Secure IoT-based Parking System for Efficient Space Management in Urban Areas
    16th International Conference on Advances in Computing Control and Telecommunication Technologies Act 2025, 2025
  • Deep Residual Network and Water Cloud Model-Based Soil Moisture Retrieval Using Satellite Images
    Sanjay B. Waykar, Rajesh Kadu, Amitkumar Manekar
    Ssrg International Journal of Electronics and Communication Engineering, 2024
    - Soil moisture is a critical part of the link between land carbon cycle and surface-ground water motion. It also is vital in energy exchange between land/atmosphere; furthermore, soil moisture is an important determinant process for plant growth and productivity. By making the technique use satellite imagery, it is able to predict soil moisture content more accurately rather than using vegetation indices like the “Wide Dynamic Range Vegetation Index (WDRVI), Simple Ratio (SR), or Green Leaf Area Index (GLAI)”. A Deep Residual Network (DRN)-based “water cloud model “for soil moisture” forecasting is generated according to the vegetation indices. Additionally, soil moisture is derived using vegetation indices such as the “Wide Dynamic Range Vegetation Index (WDRVI), Simple Ratio (SR), and Green Leaf Area Index (GLAI)”. Performance of the developed DRN-based “water cloud model “was also evaluated in terms of RMSE and estimation error. The objective of this research work is to come up with a new modeling approach of soil moisture retrieval by improving “water cloud model “with satellite images and vegetation indices in one hand, and consequently to verify its performance through the application of Deep Residual Network (DRN)-based “water cloud model “on another hand. According to the experimental results, the suggested DRN-based “water cloud model “performed better than the others, with the smallest estimate error and Root Mean Square Error (RMSE) values of 0.523 and 0.69, respectively. The developed method’s estimation error is lower than that of the Semi-Empirical Water Cloud Model, Deep Multi Model Fusion Network, Genetic Algorithm (GA), Convolution Neural Network and Regression (CNNR), and Particle Swarm Optimization (PSO), respectively, at 94.14%, 65.32%, 91.63%, 63.12%, and 91.10%. The developed scheme’s RMSE is lower than that of the CNNR, PSO, Genetic Algorithm GA, Deep Multi Model Fusion Network, Semi Empirical Water Cloud Model, and 93.52%, 90.33%, 93.11%, and 89.72%, respectively.
  • Metaheuristic Optimization Using Hybrid Algorithm in Cloud-Based Big Data Analytics
    Amitkumar Manekar, G. Pradeepini
    Lecture Notes in Networks and Systems, 2021
  • Optimizing Cost and Maximizing Profit for Multi-Cloud-Based Big Data Computing by Deadline-Aware Optimize Resource Allocation
    Amitkumar Manekar, G. Pradeepini
    Studies in Computational Intelligence, 2021
  • Optimize Task Scheduling and Resource Allocation Using Nature Inspired Algorithms in Cloud based BDA
    A.S. Manekar, Dr. Pradeepini Gera
    Webology, 2021
    Task Scheduling and Resource allocation is a prominent research topic in cloud computing. There are several objectives associated with Optimize Task Scheduling and Resource allocation as cloud computing systems are more complex than the traditional distributed system. There are several challenges like resolving the task mapped to the node on which task to be executed. A simplified but near optimal proposed nature inspired algorithms are focus in this paper. In this paper basic idea about optimization, reliability and complexity is considered while design a solution for modern BDA (Big Data Application). Detailed analysis of experimental results, it is shown that the proposed algorithm has better optimization effect on the fair share policies which are presently available in most of the BDA. In this paper we focused on Dragonfly algorithm and Sea lion algorithms which are nature inspired algorithms. These algorithms are efficient for optimization purpose for solving task scheduling and resource allocation problem. Finally performance of the hybrid DA algorithm and Sea lion is compared with traditional techniques used for modern BDA using Hadoop MapReduce. Simulation results prove the efficacy of the suggested algorithms.
  • Deadline aware optimization in resource allocation for reducing migration cost
    Amitkumar S. Manekar, P. Gera
    Advances in Mathematics Scientific Journal, 2020
    ,
  • Optimize Neutral Framework with Fair Share Resource Allocator for Big Data Processing on Cloud Infrastructure
    Amitkumar Manekar, Pradeepini Gera
    Proceeding 1st International Conference on Innovative Trends and Advances in Engineering and Technology Icitaet 2019, 2019
    Data is precious! Data generated from myriad resources are store and treated, extracted for getting knowledge through classical machine learning techniques. The MapReduce is a programming framework that proved its efficiency and reliability for big data processing in a distributed environment. When data are generated in a cloud platform the speed and volume of data are high. MapReduce has its own limitation over processing big data. Spark has also eliminated many boundaries especially dealing with online streaming and cloud generated data. Big Data cluster management is a tedious work that needs specialized algorithms for a fair share approach. Many time resource contention problems have to address with fair-share but the performance was not satisfactory. MESOS and YARN have an implementation of the same. The proposed framework use historical job execution logs for admission control and deadline information is an additional and important part which supplied at the time of submission of the job. The work anticipates different deadline formulation explained in the result section. Finally, a comparison of justice with existing fair share allocation policies is discussed.
  • Splay: A Lightweight Video Streaming Application
    Nilesh S Inkane, Siddhi A Kotak, Amitkumar S. Manekar
    Proceeding 1st International Conference on Innovative Trends and Advances in Engineering and Technology Icitaet 2019, 2019
    Splay is a video streaming progressive web application which uses YouTube as a server and storage for videos and the app itself resides on our own desired server. Splay achieves this by using embed feature provided by YouTube and hence can even be hosted on a smaller server without carrying the load of videos. It is developed to work on any given device and any given platform provided, the given device has a browser. An app shell architecture is implemented in splay with the use of service workers and JavaScript for the technology stack. It uses React.js for developing user interfaces and achieving a single page application model for the more native-like experience. Node.js and Mongo DB are the ones powering the back end of the application. This paper basically focuses on the architecture and working of the application and our main focus is to collect all important educational videos of college including lectures, tutorials on one platform with proper content management as desired by the institute or organization using it.
  • Mahaganana: An Approach to a Smart Census in India
    Jigar Wakhariya, Prakhar Gangrade, Amitkumar Manekar
    Proceeding 1st International Conference on Innovative Trends and Advances in Engineering and Technology Icitaet 2019, 2019
    In a large country like India where the population of states is equal to the population of other countries, it is very difficult to obtain the count of the population in a given minimum time and cost. Although the year 2021 is going to be the Census year for India, the 2021 Census is 8th Census (since independence) of country. In India, Census is conducted in every ten years by the government. This census is going to be very important due to many reasons. The previous censuses took place by the manual procedure that is very typical and is used since it has been introduced by the British in 1872. This procedure is very time consuming and requires large effort by mankind. So the need of the time is to simplify it. This could be simplified using technology. So we are using a Cross-Platform portal to conduct the entire process in a digital manner and introducing several changes in procedure of conduction of Census. This portal will serve to all. (i.e. Citizen, Census Officer, Ministers, etc.) and the entire procedure will be described as Mahaganana.
  • Experimenting cloud infrastructure for tomorrows big data analytics
    International Journal of Innovative Technology and Exploring Engineering, 2019
  • Studying cloud as IaaS for big data analytics: Opportunity, challenges
    International Journal of Engineering and Technology Uae, 2018
  • Cloud Based Big Data Analytics a Review
    Amit Kumar Manekar, G. Pradeepini
    Proceedings 2015 International Conference on Computational Intelligence and Communication Networks Cicn 2015, 2016
  • Big data analytics: Hadoop and tools
    Mrunal Sogodekar, Shikha Pandey, Isha Tupkari, Amit Manekar
    IEEE Bombay Section Symposium 2016 Frontiers of Technology Fuelling Prosperity of Planet and People Ibss 2016, 2016
  • Finding outlier from large dataset using online OSPCA
    Priyanka R. Patil, Amitkumar S. Manekar
    Proceedings 1st International Conference on Computing Communication Control and Automation Iccubea 2015, 2015
  • A novel approach to prevent personal data on a social network using graph theory
    Neha A. Patil, Amitkumar S. Manekar
    Proceedings 1st International Conference on Computing Communication Control and Automation Iccubea 2015, 2015
  • Radio frequency based navigation and management system for KUMBH
    Ajay Sharma, Amit Raut, Pankaj Donde, Amit Kumar Manekar
    Proceedings 2015 IEEE International Conference on Computational Intelligence and Communication Technology Cict 2015, 2015
  • Online Examination with short text matching
    Pooja Kudi, Amitkumar Manekar, Kavita Daware, Tejaswini Dhatrak
    Proceedings 2014 IEEE Global Conference on Wireless Computing and Networking Gcwcn 2014, 2015
  • Android 'Health-Dr.' application for synchronous information sharing
    Mayur S. Potdar, Amitkumar S. Manekar, Rajesh D. Kadu
    Proceedings 2014 4th International Conference on Communication Systems and Network Technologies Csnt 2014, 2014
  • Mining strong valid association rule from frequent pattern and infrequent pattern based on min-max sinc constraints
    Mukesh Poundekar, Amitkumar S. Manekar, Mukesh Baghel, Hitesh Gupta
    Proceedings 2014 4th International Conference on Communication Systems and Network Technologies Csnt 2014, 2014
  • Sifting of a potent convex hull algorithm for scattered point set using parallel programming
    Amitkumar S. Manekar, Malti Nagle, Pankaj Kawadkar, Hitesh Gupta
    Proceedings 5th International Conference on Computational Intelligence and Communication Networks Cicn 2013, 2013

RECENT SCHOLAR PUBLICATIONS

  • A Brain Storm Optimization-Based Hybrid Intrusion Detection System for Real-Time and Secure Malware Detection in Smart Healthcare IoT Environments
    A Manekar, R Kadu, S Waykar
    University of Bahrain , 2025
    2025
  • ParkNow: Optimizing Shared Community Parking Spaces with Digital Efficiency
    S Kubade, V Polkat, P Khadse, K Dhande, B Jain, A Manekar
    SSGM Journal of Science and Engineering 3 (1), 26-33 , 2025
    2025
  • Deep residual network and water cloud model-based soil moisture retrieval using satellite images.
    SB Waykar, R Kadu, A Manekar
    SSRG INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATION ENGINEERING … , 2024
    2024
    Citations: 1
  • Exploring an Immersive AR/VR Pedagogical Approach: Experiential Learning for Autism Spectrum Disorder (ASD) Education
    A Manekar, V Gade, R Unhale, H Manker, R Dhole
    International Journal of Recent Engineering Science-IJRES 11 , 2024
    2024
  • Real-Time Verification and Updates of End-of-Life (EOL) Data: Enhancing Database Maintenance through ChatGPT Integration
    G Borle, J Gore, R Dangra, A Manekar
    International Journal of Recent Engineering Science-IJRES 11 , 2024
    2024
  • Comparative analysis of nature-inspired MetaHeuristic optimization algorithms
    AH Deshmukh, KS Kumbhare, P Jaikar, A Varma, AS Manekar
    SSGM Journal of Science and Engineering 1 (1), 169-173 , 2023
    2023
    Citations: 6
  • Smart information desk using raspberry pi
    A Agrawal, K Bonde, V Kanherkar, R Jadhav, A Manekar
    IJETT 9 (1) , 2023
    2023
    Citations: 1
  • Python and MySQL-based Transport Management System
    N Sonkalyari, A Patil, T Zade, K Sharma, A Manekar
    International Journal of Recent Engineering Science-IJRES 10 , 2023
    2023
    Citations: 1
  • Expense tracker application using naive bayes
    R Thakare, N Thakare, R Sangtani, S Bondre, A Manekar
    International Journal of Recent Engineering Science-IJRES 10 , 2023
    2023
    Citations: 6
  • Smart expense tracker application using Naive Bayes
    AS Manekar, MR Thakare, MN Thakare, MR Sangtani, MS Bondre
    Int. J. Adv. Res. Comput. Sci. Softw. Eng 12 (3), 45-52 , 2022
    2022
    Citations: 2
  • Metaheuristic Optimization Using Hybrid Algorithm in Cloud-Based Big Data Analytics
    A Manekar, G Pradeepini
    Proceedings of the 2nd International Conference on Computational and Bio … , 2021
    2021
    Citations: 4
  • Optimizing cost and maximizing profit for multi-cloud-based big data computing by deadline-aware optimize resource allocation
    A Manekar, G Pradeepini
    Recent Studies on Computational Intelligence: Doctoral Symposium on … , 2020
    2020
    Citations: 6
  • Migrating Big Data to Cloud a Hybrid Algorithm for Solving the Cost Optimization Problem
    M Amitkumar S, DG Pradeepini
    http://solidstatetechnology.us/index.php/JSST/article/view/1747 63 (5 (2020 … , 2020
    2020
  • Advances in Computational and Bio-Engineering: Proceeding of the International Conference on Computational and Bio Engineering, 2019, Volume 1
    S Jyothi, DM Mamatha, SC Satapathy, KS Raju, MN Favorskaya
    Springer Nature , 2020
    2020
    Citations: 5
  • DEADLINE AWARE OPTIMIZATION IN RESOURCE ALLOCATION FOR REDUCING MIGRATION COST
    AS MANEKAR, P GERA
    ADVANCES IN MATHEMATICS 9 (9), 6765-6775 , 2020
    2020
  • Optimize Neutral Framework With Fair Share Resource Allocator For Big Data Processing On Cloud Infrastructure
    A Manekar, P Gera
    2019 International Conference on Innovative Trends and Advances in … , 2019
    2019
  • Splay: A lightweight video streaming application
    NS Inkane, SA Kotak, AS Manekar
    2019 International Conference on Innovative Trends and Advances in … , 2019
    2019
    Citations: 5
  • Mahaganana: An Approach to a Smart Census in India
    J Wakhariya, P Gangrade, A Manekar
    2019 International Conference on Innovative Trends and Advances in … , 2019
    2019
    Citations: 2
  • Trends and Advances in Engineering and Technology (ICITAET)
    MCU Wavelets
    Technology (ICITAET) 27, 28 , 2019
    2019
  • A pragmatic study and analysis of load balancing techniques in parallel computing
    V Thakur, S Kumar
    Information and Decision Sciences: Proceedings of the 6th International … , 2018
    2018
    Citations: 13

MOST CITED SCHOLAR PUBLICATIONS

  • Cloud based big data analytics a review
    AK Manekar, G Pradeepini
    2015 International Conference on Computational Intelligence and … , 2015
    2015
    Citations: 33
  • Online Examination with short text matching
    P Kudi, A Manekar, K Daware, T Dhatrak
    2014 IEEE global conference on wireless computing & networking (GCWCN), 56-60 , 2014
    2014
    Citations: 22
  • Big data analytics: hadoop and tools
    M Sogodekar, S Pandey, I Tupkari, A Manekar
    2016 IEEE Bombay Section Symposium (IBSS), 1-6 , 2016
    2016
    Citations: 21
  • A review on cloud-based big data analytics
    A Manekar, G Pradeepini
    ICSES Journal on Computer Networks and Communication (IJCNC) 1 (1), 1-9 , 2015
    2015
    Citations: 17
  • A pragmatic study and analysis of load balancing techniques in parallel computing
    V Thakur, S Kumar
    Information and Decision Sciences: Proceedings of the 6th International … , 2018
    2018
    Citations: 13
  • Opportunity and challenges for migrating big data analytics in cloud
    S Amitkumar Manekar, G Pradeepini
    IOP conference series: materials science and engineering 225 (1), 012148 , 2017
    2017
    Citations: 10
  • Comparative analysis of nature-inspired MetaHeuristic optimization algorithms
    AH Deshmukh, KS Kumbhare, P Jaikar, A Varma, AS Manekar
    SSGM Journal of Science and Engineering 1 (1), 169-173 , 2023
    2023
    Citations: 6
  • Expense tracker application using naive bayes
    R Thakare, N Thakare, R Sangtani, S Bondre, A Manekar
    International Journal of Recent Engineering Science-IJRES 10 , 2023
    2023
    Citations: 6
  • Optimizing cost and maximizing profit for multi-cloud-based big data computing by deadline-aware optimize resource allocation
    A Manekar, G Pradeepini
    Recent Studies on Computational Intelligence: Doctoral Symposium on … , 2020
    2020
    Citations: 6
  • Studying cloud as IAAS for big data analytics: opportunity, challenges
    A Manekar, P Gera
    Int. J. Eng. Technol 7 (2.7), 909-912 , 2018
    2018
    Citations: 6
  • A novel approach to prevent personal data on a social network using graph theory
    NA Patil, AS Manekar
    2015 international conference on computing communication control and … , 2015
    2015
    Citations: 6
  • Android" Health-Dr." Application for Synchronous Information Sharing
    MS Potdar, AS Manekar, RD Kadu
    2014 Fourth International Conference on Communication Systems and Network … , 2014
    2014
    Citations: 6
  • Advances in Computational and Bio-Engineering: Proceeding of the International Conference on Computational and Bio Engineering, 2019, Volume 1
    S Jyothi, DM Mamatha, SC Satapathy, KS Raju, MN Favorskaya
    Springer Nature , 2020
    2020
    Citations: 5
  • Splay: A lightweight video streaming application
    NS Inkane, SA Kotak, AS Manekar
    2019 International Conference on Innovative Trends and Advances in … , 2019
    2019
    Citations: 5
  • Metaheuristic Optimization Using Hybrid Algorithm in Cloud-Based Big Data Analytics
    A Manekar, G Pradeepini
    Proceedings of the 2nd International Conference on Computational and Bio … , 2021
    2021
    Citations: 4
  • Radio frequency based navigation and management system for KUMBH
    A Sharma, A Raut, P Donde, AK Manekar
    2015 IEEE International Conference on Computational Intelligence … , 2015
    2015
    Citations: 4
  • Automated parking slot allotter using RFID and NFC technology
    H Phuse, S Bajare, R Joshi, A Manekar
    International Journal of Research in Computer & Information technology … , 2015
    2015
    Citations: 4
  • Review automated students attendance Management System using Raspberry-Pi and NFC
    NP Shegokar, S Kaustubh, M Amitkumar
    Technology (IJRCIT) 1 (1) , 2015
    2015
    Citations: 4
  • Mining strong valid association rule from frequent pattern and infrequent pattern based on min-max sinc constraints
    M Poundekar, AS Manekar, M Baghel, H Gupta
    2014 Fourth International Conference on Communication Systems and Network … , 2014
    2014
    Citations: 4
  • A review on radio frequency based navigation and management system for KUMBH
    A Sharma, A Raut, P Donde, A Manekar
    Int. J. Comput. Sci. Netw 4 (1) , 2015
    2015
    Citations: 3