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Meet Dr. Piyush Kumar Pareek

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My Background

Dr.Piyush Kumar Pareek has an interest in continuous Learning and Teaching, Completed B.E from Basaveshwar Engineering College Bagalkot, M.Tech. from Dayanand Sagar College of Engineering, Bengaluru, Ph.D. from Jain University Bengaluru in the field of Computer Science Engineering, Have Experience close to a Decade in Teaching, Published 100+ Research Articles in Reputed Journals, Have Published 8+ Text Books Published, Have 10+ Design Patents Granted, Have 18+ Australian Innovation Patents Granted, Filed and Published 40+ Indian Utility Patents, Presently Enrolled Post-Doctoral fellowship at Instituto Federal do Ceará , Public university in Limoeiro do Norte, Brazil , Guiding Ph.D. Scholars in Visvesvaraya Technological University, Belagavi, Awarded 5 Students Ph.D. under my Guidance in CSE VTU Belagavi, Senior Member in IEEE & MIE. Reviewer in International Refereed Journals. Serving National Crime Control Board (NGO) as Assistant Director in Social Service Cell Bengaluru North, Presently Serving as Professor in Computer Science Engineering and Head (IPR Cell) in Nitte Meenakshi Institute of Technology Bengaluru, Previous Colleges Served G.S.S.I.T Bengaluru, K.S.I.T Bengaluru & East West Group of Institutions Bengaluru.

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What I’ve Done


Failure Mode and Effect Analysis (FMEA) is a technique to identify and prioritize potential failures of a process. This paper reports the description of FMEA methodology and its implementation in a foundry in reducing rejections of bushes. It is used as a tool to assure products quality and as a mean to improve operational performance of the process. The work was developed in an Indian foundry, in co-operation with part of the internal staff chosen as FMEA team members and was focused on the study of core making process. The problems identified in the various steps of core making process contributing for high rejection are studied and analyzed in terms of RPN to prioritize the attention for each of the problem. The monetary loss due to core rejection is considered as measure of risk.

Energy‐efficient cluster‐based unmanned aerial vehicle networks with deep learning‐based scene classification model


In present days, unmanned aerial vehicles (UAVs) have gained significant interest among researchers and academicians. The UAVs were found useful in diverse application areas, namely, intelligent transportation system, disaster management, surveillance, and wildlife monitoring. Clustering is a well‐known energy‐efficient technique, which elects a cluster head (CH) among other nodes. At the same time, scene classification from the high‐resolution remote sensing images captured by UAV is also a major issue in the UAV networks. In order to resolve these problems, this paper projects novel energy‐efficient cluster‐based UAV networks with deep learning (DL)‐based scene classification method. The proposed model involves a clustering with parameter tuned residual network (C‐PTRN) model, which operates on two major phases such as cluster construction and scene classification. Initially, the UAVs are …


Value Stream mapping technique involves flowcharting the steps, activities, material flows, Communications, and other process elements that are involved with a process or transformation. In this respect, Value stream mapping helps an organization to identify the non-value-adding elements in a targeted process and brings a product or a group of products that use the same resources through the main flows, from raw material to the arms of customers. In this study, a practical study carried out in a manufacturing industry for the manufacture of products is discussed. The main aim is to draw the current state value stream mapping. It discusses the reduction in the set up time and cycle time that can be obtained through the implementation. This paper also discusses the plan of action for improving the Future State Value Stream Mapping (FVSM)


There is lot of challenges being faced by IT Firms. Be it the pressure on companies to deliver reliable software’s with lesser lead times, pressure to perform at par with market competitors, constant push to deliver quality software; there are several such challenges being faced by these firms. In this research paper, we want to focus our attention to small IT Firms and to understand their challenges by conducting a survey with the help of a structured questionnaire. The questionnaire is designed through the past problems highlighted in literature and a validated through responses from industry practitioners. The opinions are recorded and the relationship between the variables are analysed to give a better understanding of the present challenges in small IT Firms. The work presented in this paper is the first phase towards the development of a framework targeted towards SME IT firms for whom increased lead time is a …

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Dr. Piyush Kumar Pareek,
Professor and Head(IPR CELL),
Dept. of Computer Science & Engineering, Nitte Meenakshi Institute of Technology.

Yelahanka, Bengaluru-560064 , Karnataka,


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