Dr. Shashi Kant Gupta
@eudoxiaresearchuniversity.us
Post-Doctoral Fellow, Computer Science and Engineering
Eudoxia Research University
Dr. Shashi Kant Gupta pursued Bachelor of Technology from Northern India Engineering College, Lucknow, U.P., India in 2008 and Post Graduate Diploma in Information technology form Symbiosis Centre for Distance Learning, Pune in the year 2011. He has completed his Master of Technology from Azad Institute of Engineering & Technology, Lucknow, U.P., India in the year 2015. He has completed his Ph.D. in CSE from Integral University, Lucknow, UP, India in the year 2022. He is currently doing Post Doctoral Fellow from Eudoxia Research University, USA. He is CEO & Founder of Chinmay Research Education and Publication Private Limited, Lucknow, UP, India. He is also working as an editor-in-chief of a reputed peer-reviewed scholarly International Journal of Data Informatics and Intelligent computing (IJDIIC). He has worked as Assistant Professor in the Department of Computer Science and Engineering, PSIT, Kanpur, U.P., India. He has also served as an Associate Professor in School of Computer Apl
EDUCATION
PhD. CSE
Post-Doctoral Fellow CSE Pursuing
RESEARCH, TEACHING, or OTHER INTERESTS
Computer Engineering, Computer Science, Computer Networks and Communications, Artificial Intelligence
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
Shashi Kant Gupta, Anchal Pathak, Sultanuddin SJ, and Nupur Soni
CRC Press
Shaifali Garg, Shashi Kant Gupta, A. Deivasree Anbu, and Anchal Pathak
CRC Press
Shashi Kant Gupta and Joanna Rosak-Szyrocka
Chapman and Hall/CRC
Shashi Kant Gupta and Joanna Rosak-Szyrocka
Chapman and Hall/CRC
Shashi Kant Gupta, Shilpa Mehta, Rajendra Kumar Tripathi, and Shavej Ali Siddiqui
IGI Global
The advent of mobile computing offloading paradigms, such mobile-edge computing (MEC), has allowed several internet of things (IoT) applications to use end devices' processing capabilities to do local tasks independently of a centralized server. A practical method for extending the amount of duration needed to finish computing tasks is computation off-load. This in-depth study investigates the complicated world of IoT systems, MEC paradigms, and the supplementary advantages gained by properly coordinating processing phases and compute modes. End-device execution is better for some application tasks due to reduced processing and greater connection expenses. In contrast, the MEC topology extends cloud capabilities to the network edge to speed up data processing near mobile devices. Symmetric propagation is the strategy the authors use in the cloud computing layer to shorten the time it takes for data to go from edge devices to cloud servers. In conclusion, they address computation latency in the cloud computing layer by tailoring our approach to its unique properties.
Shashi Kant Gupta, Shilpa Mehta, Arij Naser Abougreen, and Prabhdeep Singh
IGI Global
This chapter discusses algorithmic energy conservation in multi-cell multiple-input multiple-output (MIMO) downstream transmission. The authors propose using adaptive particle swarm optimization (APSO) to reduce the optimization issue. By framing the issue as a limited optimization assignment, they present a solid framework that allocates transmission power levels to antennas to maximize energy efficiency and meet network customers' quality of service. To evaluate the technique, they simulated various network settings with different user distributions and channel conditions. The approach outperforms previous energy-saving methods without losing the whole network sum rate, increasing energy efficiency significantly. By using optimal antenna components and the best fitness value, the proposed APSO model guarantees better power allocation schemes in wireless environments than current approaches.
Rupesh Shukla, Anish Kumar Choudhary, V. Suresh Kumar, Priyanka Tyagi, A. Mutharasan, Sumita Kumar, and Shashi Kant Gupta
Frontier Scientific Publishing Pte Ltd
<p>The fast improvements in information and communication technology have altered the transportation business, resulting in intelligent transportation systems (ITS) that aim to improve transportation network safety, efficiency, and sustainability. Cloud computing, networked automobiles, and IoT platforms are driving this shift. Infrastructure for current civilization must include transport. The effectiveness of transport infrastructure is vital for all countries’ individual mobility, trade, and economic development. Traffic congestion, fuel price increases, and CO<sub>2</sub> emissions have all increased in recent years, posing problems for modern civilization. It is crucial to improve transportation efficiency and safety. To develop a sustainable, intelligent transportation system, it is necessary to seamlessly integrate and interoperate with cutting-edge technologies like linked cars, the Internet of Things (IoT), and cloud computing. To respond to difficulties facing the transportation industry, which include rising fuel costs, high CO<sub>2</sub> emissions, expanding congestion in traffic, and greater dangers on the highway, integration concerns must be concluded.</p>
Surabhi Saxena, Radha Raman Chandan, Ramkumar Krishnamoorthy, Upendra Kumar, Prabhdeep Singh, Ashish Kumar Pandey, and Shashi Kant Gupta
Frontier Scientific Publishing Pte Ltd
<p>Intelligent transportation systems (ITS) emphasise the significance of vehicle networks. The growing need for services that are safer, more effective, more affordable, infotainment-focused, and sustainable, however, presents difficulties for these networks. To create innovative applications, researchers and businesses are working. Through effectively coordinating vehicle operations, ITS promotes safe driving, efficient traffic flow, and effective route planning. Referring to automobile heterogeneous, autonomous, flexible, and programmable networks is important given the requirement for convergence of technology in communications. For research and network development, new emerging technologies present intriguing gaps. In this paper, we provide an analysis of wireless technology and potential obstacles to delivering vehicle-to-x communication; including linked cars or autonomous vehicles, which that the initial robot to directly impact the everyday Millions of lived individuals. Study investigates the conceptual change in transportation made possible by the incorporation of modern technology into Intelligent Transportation Systems (ITS), including 5G, heterogeneous networks (HN), and Software Defined Networking (SDN). The incorporation of 5G ensures unparalleled velocity and minimal latency, allowing instantaneous communication between automobiles and infrastructure. Vehicles are easily switched between several network technologies due to heterogeneous networks’ seamless communication structure. Technology developments generated an important increase in the worldwide ITS market from 2018 to 2025. During the same time, the global market for SDN increased significantly, indicating a rising to need for programmable and dynamic network infrastructures. The simultaneous growth patterns in the SDN and ITS industries between 2018 and 2025 indicate to a general shift in the sector toward more intelligence and connectivity. It is predicted that this development continues for future. We pay particular attention to the SDN used in the 5G architecture and how it affects HN.</p>
Rajesh Natarajan, Natesh Mahadev, Shashi Kant Gupta, and Badria Sulaiman Alfurhood
Informa UK Limited
Sunil Kumar Vohra, V. Suresh Kumar, Ramkumar Krishnamoorthy, Poornima Mahesh, Bhadrappa Haralayya, Nupur Soni, and Shashi Kant Gupta
Frontier Scientific Publishing Pte Ltd
<div><p>The use of cutting-edge technology and data systems to increase the effectiveness, safety, and environmental responsibility of transport networks is known as intelligent transportation systems (ITS). In order to improve many elements of transportation, ITS incorporates a wide range of technologies, including sensors, communication networks, data analytics, and robots. By addressing the shortcomings of the current 4G network, the next mobile technology, 5G, challenges the electronic communication environment as it stands. By allowing a large number of concurrent connections and networks ubiquitous, even in high mobility scenarios or densely inhabited places, such Smart trains and smart cities (SC) are made possible by cutting-edge technology a new approach of becoming fully integrated. According to this strategy; 5G will enable the true Internet of Things (IoT) and its related automobiles on the World Wide Web (WWW). This conversation attempts to thoroughly explain how 5G wireless networks will impact urban smart transport networks, including semi-autonomous or self-driving cars, and automotive communication over the coming years, as well as any technical, economical, and regulatory issues.</p></div>
Rishabh Sharma, Shashi Kant Gupta, Yasmin Makki Mohialden, Priyanka Bhatewara Jain, Prabhishek Singh, Manoj Diwakar, Shiv Dayal Pandey, and Sarvesh Kumar
AIP Publishing
Rajesh Natarajan, Gururaj Harinahallo Lokesh, Francesco Flammini, Anitha Premkumar, Vinoth Kumar Venkatesan, and Shashi Kant Gupta
MDPI AG
Background: The Internet of Medical Things, often known as IoMT, is a revolutionary method of connecting medical equipment and the software that operates on it to the computer networks that are used in healthcare 5.0. The rapid development of smart medical devices on IoMT platforms has led to the adoption of major technologies in the modernization of healthcare procedures, the administration of diseases, and the improvement in patient treatment standards. The IoMT offers a variety of cloud-based applications, including data exchange, data screening, patient surveillance, information collection and analysis, and hygienic hospital attention. Wireless sensor networks (WSNs) are responsible for both the gathering and delivery of data. Method: The safety of patients and their right to privacy are the top priorities in the healthcare sector. Anyone may see and modify the patient’s health information because the data from these smart gadgets are sent wirelessly through the airways. Hence, we developed a unique elliptic curve cryptography-based energy-efficient routing protocol (ECC-EERP) to provide a high level of security and energy efficient system for healthcare 5.0. Data can be encrypted using the key-based method ECC-EERP. It employs pairs of public and private keys to decrypt and encrypts web traffic and reducse the amount of energy needed by a WSN in aggregate. Result and Discussion: The efficiency of the suggested method was evaluated in comparison with that of a variety of existing methods. The suggested method was evaluated with the use of many parameters such as security, encryption throughput, energy efficiency, network lifetime, communication overload, computation time, and implementation cost. The results showed that the proposed technique provides enhanced security and energy efficiency.
Arvind Kumar Shukla, S. Poongodi, Alex Khang, and Shashi Kant Gupta
CRC Press
Shashi Kant Gupta, Olena Hrybiuk, NL Sowjanya Cherukupalli, and Arvind Kumar Shukla
CRC Press
Alex Khang, Shashi Kant Gupta, Sita Rani, and Dimitrios A. Karras
CRC Press
Shobhna Jeet, Shashi Kant Gupta, Olena Hrybiuk, and Nupur Soni
CRC Press
Parin Somani, Shashi Kant Gupta, Chandra Kumar Dixit, and Anchal Pathak
CRC Press
Alex Khang, Sita Rani, Rashmi Gujrati, Hayri Uygun, and Shashi Gupta
CRC Press
Anchal Pathak, Chandra Kumar Dixit, Parin Somani, and Shashi Kant Gupta
CRC Press
Alex Khang, Shashi Kant Gupta, Chandra Kumar Dixit, and Parin Somani
CRC Press