Dr Anuranjan Misra

@gniotgroup.edu.in

Dean Research and Development
Greater Noida Institute of Technology Greater Noida

Dr Anuranjan Misra
1. Working as Professor & Dean (Research, Innovation & Development) at Greater Noida Institute of Technology, Greater Noida.
2. Innovation Ambassador , Ministry of Education, Govt of India
3. 21 Years of Experience in Academics, Research & Industry.
4. Authored published 140 research papers and authored 42 books.
5. 1 International and 5 National Patent published .
6. Mission 10 X certification by Wipro, India, IBM certification on IT Infrastructure Management, India, Microsoft Technology Associate certification by Microsoft corporation USA, Infosys certification for Campus Connect Training by Infosys , India.
7. An Alumnus of IIM, Calcutta, GGS IP University, Delhi
8. 8 students had completed PhD on topics link Big Data, Cloud Computing, Artificial Intelligence, Machine Learning
9. Chairman, Computer Society of India, Ghaziabad Chapter
10. Senior Member of ACM, CSI, IACSIT, IACNG, IRACST, CSTA, ISOC, ICE, AEE, IFETS, ISMCDM, SIGSE.

EDUCATION

Professional Qualification: BS, Integrated MS, M.Tech(CSE), PhD , FIIE
Interdisciplinary Qualification: LL.B, LLM(Cyber Law & IPR), EPBCL from IIM Calcutta

RESEARCH INTERESTS

Big Data, Cloud Computing, Software testing
26

Scopus Publications

Scopus Publications

  • Preface
    2025 6th International Conference on Modern Education and Information Management Icmeim 2025, 2025
    Welcome to the 2025 6th International Conference on Modern Education and Information Management (ICMEIM 2025), a focused academic gathering held from September 19 to 21, 2025, in Hefei, China. It serves as a vital bridge connecting global experts, scholars, and practitioners in modern education and information management, uniting participants from universities, research institutions, and educational enterprises to explore cutting-edge advancements in educational technology, information management systems, and interdisciplinary innovation, while fostering collaborations that drive progress in these domains
  • Cloud Computing: Safeguarding Security and Privacy in the Digital Age
    Kapish Kumar, Anuranjan Mishra, Asif Khan
    Proceedings IEEE 2024 1st International Conference on Advances in Computing Communication and Networking Icac2n 2024, 2024
    Cloud computing is changing the IT infrastructure by providing easy-to-use and accessible data over the internet. Although cloud technology is widely used in many different areas, ensuring the security of the cloud is still very difficult. This content explores the complexities of cloud computing security, including technological advances, challenges, and opportunities. Data breaches, insider threats, and compliance challenges are challenging for effective protections such as authentication, authorization, and encryption to help maintain data integrity and security. Blockchain and zero trust architecture are essential to increase security by redefining trust models and access restrictions in the cloud. Regulatory compliance such as GDPR, HIPAA, and ISO/IEC 27001 underscore the importance of tying security measures to legal obligations and providing stringent requirements for service providers' cloud and customer. Service Level Agreements (SLAs) help define and explain the security of service providers and customers. They suggest methods for problem solving and service delivery. This brief concludes by highlighting the ever-changing nature of climate security challenges and the urgent need for adaptive security solutions to regularly mitigate these risks. It provides the truly holistic view needed to understand and manage the complexity of cloud security systems.
  • Quality of Red Wine: Analysis and Comparative Study of Machine Learning Models
    Sonam Kumari, Anuranjan Misra, Amitabh Wahi, Pramod Singh Rathore
    Proceedings of the 5th International Conference on Inventive Research in Computing Applications Icirca 2023, 2023
    Wine is an alcoholic beverage made from different varieties of grapes after fermenting of grapes. There are different styles of wine varieties depends upon types of grapes used (with or without peeling of skins of grapes) and strains of yeast like red wine, white wine, rose wine, orange or amber wine. Wine can be made from others fruits, grains, cashew coconut, honey etc. Quality and taste of wine depends upon making process and aging of wine. Top 3 Wine producer countries in world are Italy, Spain, and France as per 2021 report. Red wine contains 5.5 to 20.5% of alcohol in it. Consumption of Red wine in right amount is good for health but consumption in large amount is bad for health. The quality of red wine may be predicted by using artificial intelligence techniques with the help of different chemicals parameters as attributes. In this paper, red wine datasets were used for training and testing purpose for the classification of red wine into 6 categories. 6 classes of data were converted into two class based on the quality index. Four different approaches of machine learning algorithms were applied to predict the classification of red wine on two class datasets. It was found that out of four algorithms, the decision tree classifier predicted better performance result of red wine quality compared to other machine learning classifiers.
  • Service level agreements for cloud infrastructures
    Proceedings of the 2019 6th International Conference on Computing for Sustainable Global Development Indiacom 2019, 2019
  • A study of energy optimization for MANET
    Proceedings of the 2019 6th International Conference on Computing for Sustainable Global Development Indiacom 2019, 2019
  • Self-optimization in LTE: An Approach to Reduce Call Drops in Mobile Network
    Divya Mishra, Anuranjan Mishra
    Communications in Computer and Information Science, 2019
  • A novel cryptographic data security approach for banking industry to adopt cloud computing
    International Journal of Recent Technology and Engineering, 2019
  • Effective data clustering algorithms
    Kamalpreet Bindra, Anuranjan Mishra, Suryakant
    Advances in Intelligent Systems and Computing, 2019
  • Automation of Incident Management Processes and Benefits of Hosting Servers on Cloud
    Shruti Garg, Anuranjan Misra
    International Conference on Current Trends in Computer Electrical Electronics and Communication Ctceec 2017, 2018
    Information Technology is an integral part of the industry for a long time and the role of Services has increased in last 10 years. IT had been playing a major role in the Manufacturing sector in the first half of the decade, which now has shifted to the Services. With this shift in focus of the industry, from Manufacturing to Services, there arises a need of certain set of policies and standard procedures, which help the organizations in providing up to the mark services to their customers, and improved customer relations. Information Technology Infrastructure Library (ITIL) is such a set of best practices and standard procedures, which helps in practicing better Information Technology Service Management (ITSM). This paper studies some of the benefits of the Service Operations process named Incident Management of the ITIL and highlight its best practices. The paper will give a detailed description of Incident Management from the User perspective, as well as from the Administrator and Developer perspective. The automation of this out-of-box vendor-provided process can help the users in using the ITSM tools more efficiently. This paper also studies the benefits of hosting the servers on Cloud as well as how it may help in using the ITSM tools on the go.
  • A Detailed Study of Clustering Algorithms
    Kamalpreet bindra, Anuranjan mishra
    International Conference on Current Trends in Computer Electrical Electronics and Communication Ctceec 2017, 2018
    The foremost illustrative task in data mining process is clustering. It plays an exceedingly important role in the entire KDD process also as categorizing data is one of the most rudimentary steps in knowledge discovery. It is an unsupervised learning task used for exploratory data analysis to find some unrevealed patterns which are present in data but cannot be categorized clearly. Sets of data can be designated or grouped together based on some common characteristics and termed clusters, the mechanism involved in cluster analysis are essentially dependent upon the primary task of keeping objects with in a cluster more closer than objects belonging to other groups or clusters. Depending on the data and expected cluster characteristics there are different types of clustering paradigms. In the very recent times many new algorithms have emerged which aim towards bridging the different approaches towards clustering and merging different clustering algorithms given the requirement of handling sequential, extensive data with multiple relationships in many applications across a broad spectrum. Various clustering algorithms have been developed under different paradigms for grouping scattered data points and forming efficient cluster shapes with minimal outliers. This paper attempts to address the problem of creating evenly shaped clusters in detail and aims to study, review and analyze few clustering algorithms falling under different categories of clustering paradigms and presents a detailed comparison of their efficiency, advantages and disadvantages on some common grounds. This study also contributes in correlating some very important characteristics of an efficient clustering algorithm.
  • Non-Cognitive Factors Should be More Focussed in K-12 Education: A thorough Study
    Preeti Johri, Anuranjan Misra
    International Conference on Current Trends in Computer Electrical Electronics and Communication Ctceec 2017, 2018
  • Structured and Unstructured Big Data Analytics
    Suyash Mishra, Anuranjan Misra
    International Conference on Current Trends in Computer Electrical Electronics and Communication Ctceec 2017, 2018
  • Multi network clustering using k-means
    Anuranjan Mishra, Naina Pal
    2017 International Conference on Energy Communication Data Analytics and Soft Computing Icecds 2017, 2018
  • Improved rapid AES for secure digital images
    Anuradha, Somesh Kumar, K. Rama Krishna
    2017 International Conference on Energy Communication Data Analytics and Soft Computing Icecds 2017, 2018
  • Implementing interchange of legal data under information system using a subset by deriving on the form of akoma ntosa in context of right to information by encoding application and appeal
    Manoj Kumar Singh, Anuranjan Mishra
    Proceedings of the 2017 International Conference on Smart Technology for Smart Nation Smarttechcon 2017, 2018
  • Digital technology in classroom: Changing the face of education infographic
    Preeti Johri, Anuranjan Misra
    Proceedings of the 2017 International Conference on Smart Technology for Smart Nation Smarttechcon 2017, 2018
  • Review study on Data Security and Privacy of Cloud Computing in Service Oriented Architecture
    12th Indiacom 5th International Conference on Computing for Sustainable Global Development Indiacom 2018, 2018
  • Clustering with Multiple networks applying K-means
    12th Indiacom 5th International Conference on Computing for Sustainable Global Development Indiacom 2018, 2018
  • Security Framework For Big Data Log Files On Clouds
    12th Indiacom 5th International Conference on Computing for Sustainable Global Development Indiacom 2018, 2018
  • Proposing a Framework in Big Data to the Hospitals for Hypertension Problem
    12th Indiacom 5th International Conference on Computing for Sustainable Global Development Indiacom 2018, 2018
  • Effective use of Knowledge Management process and ITSM implementation on cloud
    12th Indiacom 5th International Conference on Computing for Sustainable Global Development Indiacom 2018, 2018
  • Encoding of RTI Application & First Appeal to create Standard Representation & Encoding of Law in reference to RTI Act 2005 for Electronic Interchange of Data (IED)
    12th Indiacom 5th International Conference on Computing for Sustainable Global Development Indiacom 2018, 2018
  • Fine tuning of MapReduce jobs using parallel K Map clustering
    12th Indiacom 5th International Conference on Computing for Sustainable Global Development Indiacom 2018, 2018
  • Improving MapReduce Performance using LATE scheduling in big data
    12th Indiacom 5th International Conference on Computing for Sustainable Global Development Indiacom 2018, 2018
  • Audio steganography using ASCII code and GA
    Amba Mishra, Prashant Johri, Anuranjan Mishra
    2017 International Conference on Infocom Technologies and Unmanned Systems Trends and Future Directions Ictus 2017, 2017
  • Prevention against DDOS attack on cloud systems using triple filter: An algorithmic approach
    Proceedings of the 10th Indiacom 2016 3rd International Conference on Computing for Sustainable Global Development Indiacom 2016, 2016

Publications

Papers in International Journals
1. Madan Mohan, Aadarsh Malviya, Anuranjan Mishra “Big Data Security Problem and Its Solutions ” International Journal of Engineering and Advanced Technology (IJEAT) ISSN: 2249-8958 (Online), Volume-11 Issue-1, October 2021, DOI: 10.35940/
2. Madan Mohan, Aadarsh Malviya, Anuranjan Mishra “Importance of Security in Big Data Log Files on Cloud” International Journal of Engineering and Advanced Technology (IJEAT) ISSN: 2249-8958 (Online), Volume-11 Issue-1, October 2021, DOI: 10.35940/
3. Shashi Shashi , Suryakant Yadav, Anuranjan Mishra “A Prototype for Data Integrity in Cloud Environment” EAI Endorsed Transactions on Cloud Systems June- September 2020, Volume 6 | Issue 18 | e7,PP 1-5.ISSN: 2410-6895, DOI: 10.4108/
4. Dr Anuranjan Misra, Kaushiki kumara "Blockchain Enabled E-Voting System" in Dogo Rangsang Research Journal UGC Care Group I Journal ISSN : 2347-7180 Vol-10 Issue-08 No. 11 August 2020.
5. Ms Divya Misra, Dr. Anuranjan Misra, “Performance Enhanced and Improvised Approach to Reduce Call Drops Using LTE-SON”,“ Computational Network Application Tools for Performance Management”,PP 153-166 ,Springer Singapore Pte Ltd. 2020, ISBN 978-981-32-9584-1 ISBN 978-981-32-9585-8 (eBook),
6. Dr Anuranjan Misra, Suyash Mishra, Dr Suryakant yadav " Improving Map ReducePerformance using LATE scheduling in big data", in Journal of Emerging Techno

GRANT DETAILS

• Rs 50,000 Under Unnat Bharat Abhiyan by Ministry of Education, Government of India.
• Rs 2 Lacs approved under Mission Amrit Sarovar - Jal Dharohar Sanrakshan by Ministry of Housing & Urban Affairs and implemented by AICTE.
• Rs 1 Crore Approved for GNIOT- MSME Incubation Center by Ministry of MSME, Government of India
• Rs 15 Lakhs Approved Under Unnat Bharat Abhiyan for 15 Village centric Projects by Ministry of Education, Government of India.
• Rs 1 Lac approved under AICTE- Scheme for Promoting Interests, Creativity and Ethics among Students (SPICES)

RESEARCH OUTPUTS (PATENTS, SOFTWARE, PUBLICATIONS, PRODUCTS)

1. International Patent published on “SOLAR PV POWER INTEGRATED SMART GRID BASED ENERGY MANAGEMENT SYSTEM” with 3 claims & 16 Pages, ID= 2021101174 A, in the Volume/Issue : 35/12 dated 25-03-2021 and Patented Patent number: 2021101174 granted on 21 April 2021 by Australian Government.
2. National Patent published on “IOT Based Smart Home Security System” with 3 claims & 16 Pages, ID= 202121010183 A, in the Patent office Journal dated 19-03-2021.
3. National Patent published on “ARTIFICIAL INTELLIGENCE BASED INTERNET-OF-VEHICLES (IOV) SYSTEM TO PREVENT ROAD ACCIDENTS” with 3 claims & 16 Pages, ID= 202141011709 A, in the Patent office Journal dated 26-03-2021.
4. National Patent published on “ARTIFICIAL INTELLIGENCE BASED SYSTEM FOR FACE DETECTION AND IDENTIFICATION OF MASKED FACES DURING COVID PANDEMICS” with 3 claims & 16 Pages, ID= 202141015648 A, in the Patent office Journal dated 16-04-2021.
5. National Patent published on “WEARABLE DEVICE FOR SENSING AND PREDICTING UNEXPECTED ACCIDENTAL LIFE SITUATIONS USING MOBILE CROWD SENSING” with 10 claims & 31 Pages, ID= 202141017166 A, in the Patent office Journal dated 23-04-2021.
6. National Patent published on “IDENTIFICATION OF PLANT LEAF DISEASE PREDICTION USING MACHINE LEARNING ALGORITHMS” with 06 claims & 20 Pages, ID= 202141041021 A, in the Patent office Journal dated 24-09-2021.