Sourav Kumar Purohit | Computer Science | Best Researcher Award

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Best Researcher Award

Sourav Kumar Purohit

SRM University

    Sourav Kumar Purohit
Affiliation SRM University
Country India
Scopus ID 57264226200
Documents 7
Citations 131
h-index 4
Subject Area Computer Science
Event International Popular Scientist Awards
ORCID 0000-0002-3343-6818

Sourav Kumar Purohit is affiliated with SRM University, India, and has established a scholarly profile in the field of Computer Science. His indexed research contributions demonstrate sustained academic activity, interdisciplinary collaboration, and measurable citation impact. Based on the available bibliometric indicators, the researcher has published peer-reviewed scientific works indexed in Scopus while contributing to research areas involving computational methodologies and intelligent systems.[1]

Abstract

This article presents an academic overview of Sourav Kumar Purohit in relation to the Best Researcher Award. The profile summarizes institutional affiliation, publication performance, citation metrics, and scholarly impact within Computer Science. The available bibliometric indicators demonstrate active participation in peer-reviewed research and continued dissemination of scientific knowledge through internationally indexed publications.[1]

Keywords

Best Researcher Award; Sourav Kumar Purohit; SRM University; Computer Science; Artificial Intelligence; Machine Learning; Air Quality Prediction; Scopus Author; Citation Analysis; Research Excellence.

Introduction

Recognition through academic awards is commonly based upon sustained research productivity, publication quality, scholarly influence, and contributions to scientific advancement. Bibliometric indicators such as indexed publications, citation counts, and the h-index provide objective evidence supporting research evaluation. These measures complement qualitative assessments of innovation, collaboration, and scientific significance.[2]

Research Profile

  • Researcher: Sourav Kumar Purohit
  • Institution: SRM University
  • Country: India
  • Primary Subject Area: Computer Science
  • Scopus Author ID: 57264226200
  • Indexed Documents: 7
  • Total Citations: 131
  • h-index: 4

Research Contributions

The research portfolio reflects contributions to computational intelligence, predictive analytics, and data-driven modeling. Published work includes studies involving artificial intelligence, ensemble learning techniques, and environmental data analysis, demonstrating interdisciplinary application of computer science methodologies. The research contributes to scientific understanding while supporting technological innovation and evidence-based decision making.[3]

Publications

  • Accurate Air Quality Index Prediction Using Variational Mode Decomposition and Stacked Ensemble Learning. Book Chapter.
  • A Novel Series-Parallel Hybrid Method Employing Fusion of Deep Features for Air Quality Index Forecasting. Peer-reviewed research publication contributing to intelligent environmental prediction methodologies.

Research Impact

The available bibliometric indicators indicate measurable scholarly visibility with seven indexed publications, 131 citations, and an h-index of four. Citation performance suggests that the published research has been referenced by subsequent scholarly work, reflecting continuing academic relevance within the research community.[1]

Award Suitability

Based on the documented publication record, citation metrics, indexed research output, and contributions to Computer Science, Sourav Kumar Purohit demonstrates characteristics consistent with consideration for the Best Researcher Award. The profile reflects sustained scholarly engagement, peer-reviewed dissemination, interdisciplinary collaboration, and measurable research influence according to internationally recognized bibliometric indicators.[2]

Conclusion

The academic record presented illustrates continued contributions to Computer Science through peer-reviewed publications, citation impact, and interdisciplinary research activities. Objective research metrics and scholarly productivity collectively support recognition within academic award programs emphasizing excellence, innovation, and scientific contribution.[1]

References

  1. Elsevier. (n.d.). Scopus author details: Sourav Kumar Purohit, Author ID 57264226200. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57264226200
  2. International Popular Scientist Awards. (n.d.). Best Researcher Award.
    https://popularscientist.com/
  3. Pradhan, S. S., Dora, K. K., & Purohit, S. K. (2026). Accurate Air Quality Index Prediction Using Variational Mode Decomposition and Stacked Ensemble Learning.
    DOI: https://doi.org/10.1007/978-3-032-16830-6_16
  4. Pradhan, S. S., Dora, K. K., & Purohit, S. K. (2026). Accurate air quality index prediction using variational mode decomposition and stacked ensemble learning.

Stefanos Nikiforos | Computer Science | Research Excellence Award

Published on by International Popular Scientist Awards

Dr. Stefanos Nikiforos | Computer Science | Research Excellence Award

Ionian University | Greece

Dr. Stefanos Nikiforos is a researcher in informatics and education whose work integrates artificial intelligence, natural language processing, and digital pedagogy to enhance learning environments. His research focuses on intelligent educational technologies, virtual learning communities, behavioral analysis, and the detection of bullying and harmful behaviors through language data, with particular expertise in Greek-language corpora. He has contributed to scholarly journals, conference proceedings, and book chapters, and actively participates in editorial and peer-review activities. His scholarly output includes 15 documents with 104 citations across 83 citing sources and an h-index of 5, reflecting growing academic impact alongside extensive professional experience in academic research, higher education teaching, educational leadership, and collaborative digital learning platform development.

Citation Metrics (Scopus)

120

90

60

30

0

Citations
104

Documents
15

h-index
5

🟦 Citations    🟥 Documents    🟩 h-index


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Featured Publications

Vikram Narayandas | Computer Science | Outstanding Academic Achievement Award

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Assoc. Prof. Dr. Vikram Narayandas | Computer Science | Outstanding Academic Achievement Award

Associate professor | CVR college of Engineering | India

Assoc. Prof. Dr. Vikram Narayandas is an accomplished academic and researcher in the field of Computer Science and Engineering, specializing in Artificial Intelligence, Machine Learning, Internet of Things, Mobile Ad Hoc Networks, Cybersecurity, and Cloud Computing. With nearly two decades of teaching experience, he has served as Associate Professor and Assistant Professor in reputed engineering institutions, significantly contributing to curriculum development, student mentorship, and academic innovation. His research interests focus on integrating MANET with IoT for enhanced smart communication, energy-efficient networking technologies, anomaly detection systems, and IoT-based solutions for real-world applications. He has authored and co-authored several publications in peer-reviewed international journals and conferences, covering areas such as IoT communications, MANET protocols, and network security. In addition, he holds patents related to automated wireless network authentication, smart monitoring systems, and IoT-based safety mechanisms. He has also contributed to academia as a book author with a work dedicated to the role of MANET in IoT. Dr. Narayandas has received multiple awards and recognitions for teaching excellence, academic leadership, and contributions to technical education, including distinctions as a Cisco Networking Academy instructor, Fortinet instructor, and Palo Alto Networks Cybersecurity Academy trainer. He has actively participated as a resource person and coordinator in numerous workshops, faculty development programs, and conferences, sharing expertise on IoT, Linux, network security, and emerging technologies. Beyond teaching and research, he serves on editorial and review boards for several international journals, further supporting knowledge dissemination and academic collaboration. His blend of research, innovation, and teaching excellence reflects his commitment to advancing technological education and applied research in computer science. He has authored 6 documents with 23 citations across 23 citing documents, further reflecting the impact of his scholarly contributions.

Profile: Scopus | Orcid | Google Scholar

Featured Publications

Tiruvayipati, S., Yellasiri, R., Narayandas, V., Maruthavanan, A., & Meduri, A. (2024). Methodology for developing an IoT-based parking space counter system using XNO. Scalable Computing: Practice and Experience, 25(2).

Narayandas, V., Maruthavanan, A., & Dugyala, R. (2024). Integration of MANET and IoT for enhancing smart device communication infrastructure. International Advanced Research Journal in Science, Engineering and Technology (IARJSET), 11(1).

Narayandas, V., Maruthavanan, A., & Dugyala, R. (2023). Energy efficient better approach to mobile Ad hoc networking (BATMAN) using LoRa technology. International Journal of System Assurance Engineering and Management.

Narayandas, V. (2023). The chronicles of MANET in Internet of Things. Kindle Direct Publishing.

Narayandas, V., Maruthavanan, A., & Dugyala, R. (2023). Remote IoT correspondence for coordinating end-devices over MANET via energy-efficient LPWAN. International Journal of Nanotechnology, 20(5/6), 418–431.

 

Srinivasa Rao Gundu | Computer Science | Best Researcher Award

Published on by International Popular Scientist Awards

Dr. Srinivasa Rao Gundu | Computer Science | Best Researcher Award

Assistant Professor at Malla Reddy University, India

Dr. Srinivasa Rao Gundu is an Assistant Professor at the School of Sciences, Malla Reddy University, Hyderabad, with over 18 years of academic and professional experience in computer science. He earned his Ph.D. in Computer Science from Dravidian University in 2021, focusing on hybrid algorithms for load balancing in cloud computing environments. His thesis introduced and tested novel RT, RTE, and RTEAH hybrid algorithms to enhance cloud resource allocation and performance.

Profile:

🎓 Academic Background:

  • Ph.D. in Computer Science
    Dravidian University, India
    Thesis: “Hybrid Approach to Load Balancing in Cloud Environment”
    His doctoral research focused on designing and testing hybrid algorithms (RT, RTE, RTEAH) to optimize load balancing in cloud computing environments, considering parameters like response time, execution time, and network delay.

  • Master of Computer Applications (M.C.A.)
    Osmania University, Hyderabad

  • Bachelor of Science (Computer Science)
    Osmania University, Hyderabad

🧠 Areas of Expertise:

  • Cloud Computing & Load Balancing

  • Quantum Computing & Cryptography

  • Artificial Intelligence & Machine Learning

  • Big Data Analytics

  • Internet of Things (IoT)

  • Operating Systems & Networking Global Journals

👨‍🏫 Teaching Experience:

  • Assistant Professor, Malla Reddy University (2023–Present)
    Courses: Applied Cryptography & Network Security, Operating Systems, Quantum ComputingAcademia.edu+6MR University+6ResearchGate+6

  • Guest Lecturer, Government Degree College, Hyderabad (2021–2023)
    Courses: C, C++, Java, DBMS, Oracle, Web Designing

  • Senior Software Trainer, Key Soft Computer Education (2019–2021, 2009–2013)

  • Programmer, JKR Softech Pvt. Ltd. (2013–2014)

  • Software Trainer, S3K Software Solutions (2006–2009)IGI Global+7Academia.edu+7LinkedIn+7

🏅 Professional Memberships:

  • Computer Science Teachers Association (CSTA) – USA

  • International Association of Engineers (IAENG) – Hong Kong

  • Indian Science Congress Association (ISCA) – India

  • Internet Society (ISOC) – USA

  • American Physical Society (APS) – USA

  • American Mathematical Society (AMS) – USA

  • Institute of Mathematical Statistics (IMS) – USA

  • Education Research and Development Association (ERDA) – India

  • International Association of Innovation Professionals (IAOIP) – USA

  • Scope Database – International Advisory Board (SD-IAB) – Singapore

Citation Metrics:

  • Total Citations: 208

  • Citations Since 2020: 206

  • h-index: 8

  • i10-index: 6

Publication Top Notes:

  1. Hybrid IT and multi cloud: An emerging trend and improved performance in cloud computing
    Gundu, S.R., Panem, C.A., & Thimmapuram, A. (2020). SN Computer Science, 1(5), 256. [Citations: 43]

  2. Sixth‐Generation (6G) Mobile Cloud Security and Privacy Risks for AI System Using High‐Performance Computing Implementation
    Gundu, S.R., Charanarur, P., Chandelkar, K.K., Samanta, D., Poonia, R.C., et al. (2022). Wireless Communications and Mobile Computing, 2022(1), 4397610. [Citations: 33]

  3. Real-time cloud-based load balance algorithms and an analysis
    Gundu, S.R., Panem, C.A., & Thimmapuram, A. (2020). SN Computer Science, 1(4), 187. [Citations: 27]

  4. The dynamic computational model and the new era of cloud computation using Microsoft Azure
    Gundu, S.R., Panem, C.A., & Thimmapuram, A. (2020). SN Computer Science, 1(5), 264. [Citations: 13]

  5. Robotic technology-based cloud computing for improved services
    Gundu, S.R., Panem, C.A., & Timmapuram, A. (2020). SN Computer Science, 1(4), 190. [Citations: 11]

  6. Improved Hybrid Algorithm Approach based Load Balancing Technique in Cloud Computing
    Anuradha, B.S.R.G.T. (2019). Global Journal of Computer Science and Technology: B Cloud and Distributed, [Citations: 11]

  7. Emerging computational challenges in cloud computing and RTEAH algorithm based solution
    Gundu, R.S.G., Thimmapuram, A., & Panem, C.A. (2021). Journal of Ambient Intelligence and Humanized Computing, 11. [Citations: 9]

  8. Machine-learning-based spam mail detector
    Charanarur, P., Jain, H., Rao, G.S., Samanta, D., Sengar, S.S., & Hewage, C.T. (2023). SN Computer Science, 4(6), 858. [Citations: 8]

  9. High‐Performance Computing‐Based Scalable “Cloud Forensics‐as‐a‐Service” Readiness Framework Factors—A Review
    Gundu, S.R., Panem, C., & Satheesh, S. (2022). Cyber Security and Network Security, 27-45. [Citations: 8]

  10. Improved implementation of hybrid approach in cloud environment
    Rao, G.S., & Anuradha, T. (2018). Network, 3, 3.312. [Citations: 6]

  11. Improved hybrid approach for load balancing in virtual machine
    Rao, G.S., & Anuradha, T. (2018). International Journal of Computer Science Engineering, 6(10), 730-733. [Citations: 5]

  12. Intelligence Using Automata-Based Nature’s Digital Philosophy
    Gundu, S.R., Panem, C.A., & Thimmapuram, A. (2020). SN Computer Science, 1, 1-6. [Citations: 4]

  13. Fuzzy Logic Applications in Computer Science and Mathematics
    Kar, R., Le, D.N., Mukherjee, G., Mallik, B.B., & Shaw, A.K. (2023). John Wiley & Sons. [Citations: 3]

  14. The role of machine learning and artificial intelligence in detecting the malicious use of cyber space
    Panem, C., Gundu, S.R., & Vijaylaxmi, J. (2023). Robotic Process Automation, 19-32. [Citations: 3]

  15. Digital Data Growth and the Philosophy of Digital Universe in View of Emerging Technologies
    Gundu, T.A.S.R. (2020). International Journal of Scientific Research in Computer Science, [Citations: 3]

  16. A comprehensive study on cloud computing and its security protocols and performance enhancement using artificial intelligence
    Gundu, S.R., Panem, C., & Vijaylaxmi, J. (2023). Robotic Process Automation, 1-17. [Citations: 2]

  17. Deception preclusion, discretion, and data safety for contemporary business
    Gundu, S.R., Charanarur, P., & Vijaylaxmi, J. (2023). Fraud Prevention, Confidentiality, and Data Security for Modern Businesses. [Citations: 2]

  18. Protection of personal data and internet of things security
    Charanarur, P., Gundu, S.R., & Vijaylaxmi, J. (2023). Fraud Prevention, Confidentiality, and Data Security for Modern Businesses. [Citations: 2]

  19. Cloud Computing and its Service Oriented Mechanism
    Gundu, C.S.R., & Panem (2022). Akinik Publications, New Delhi. [Citations: 2]

  20. Observed issues in cloud-based web commerce adoption for the financial transactions in Hyderabad
    Gundu, T.A.S.R., & Panem, C.A. (2021). Journal of Mechanics of Continua and Mathematical Sciences, 16(9), 1-13. [Citations: 2]