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.

Hsueh-Chan Lu | Computer Science | Research Excellence Award

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Dr. Hsueh-Chan Lu | Computer Science | Research Excellence Award

Professor | National Cheng Kung University | Taiwan

Dr. Hsueh-Chan Lu is a senior academic and researcher specializing in geomatics, intelligent transportation systems, and spatial information science. His research integrates visual localization, indoor positioning, deep learning, and multi-modal signal adaptation to address challenges in intelligent mobility and location-based services. He has produced high-impact contributions in routing optimization, localization algorithms, bike-sharing systems, and predictive spatial analytics, published in leading international journals and conferences. His scholarly output includes 57 documents, achieving an h-index of 17 with 1,130 citations from 995 citing documents, reflecting strong academic influence and sustained research impact alongside leadership, mentorship, and professional service.

Citation Metrics (Scopus)

1200

900

600

300

0

Citations
1,130

Documents
57

h-index
17

🟦 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.

 

Hamada Zahera | Computer Science | Best Researcher Award

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Dr. Hamada Zahera | Computer Science | Best Researcher Award

Postdoctoral Researcher | Paderborn University | Germany

Hamada Zahera is a PhD candidate at Paderborn University in Germany, specializing in data science, semantic computing, machine learning, and natural language processing. His research primarily focuses on social media analysis for enhancing situational awareness during crises, as well as semantic web technologies and knowledge graph representations. With international experience at leading institutions, he has contributed to multiple projects in semantic computing, ontology generation, knowledge graph summarization, and deep learning applications for disaster management. His academic journey has taken him from undergraduate and master’s studies in computer science at Menoufia University, Egypt, to advanced doctoral research in Germany under the supervision of Prof. Axel Ngonga. Zahera has published extensively in high-impact venues, including ISWC, ESWC, K-CAP, and IEEE Access, and has been an active contributor to the academic community as a reviewer for top conferences. His work bridges machine learning, semantic web, and data-driven crisis intelligence.

Profile

Scopus

Orcid 

Google scholar

Education

Hamada Zahera is a PhD candidate at Paderborn University in Germany, specializing in data science, semantic computing, machine learning, and natural language processing. His research primarily focuses on social media analysis for enhancing situational awareness during crises, as well as semantic web technologies and knowledge graph representations. With international experience at leading institutions, he has contributed to multiple projects in semantic computing, ontology generation, knowledge graph summarization, and deep learning applications for disaster management. His academic journey has taken him from undergraduate and master’s studies in computer science at Menoufia University, Egypt, to advanced doctoral research in Germany under the supervision of Prof. Axel Ngonga. Zahera has published extensively in high-impact venues, including ISWC, ESWC, K-CAP, and IEEE Access, and has been an active contributor to the academic community as a reviewer for top conferences. His work bridges machine learning, semantic web, and data-driven crisis intelligence.

Professional Experience

Hamada Zahera obtained his Bachelor of Science in Computer Science from Menoufia University, Egypt, where he excelled academically and graduated at the top of his class with honors. During his undergraduate studies, he built strong foundations in mathematics, probability, data structures, distributed systems, and programming. He continued at Menoufia University for his Master of Science in Computer Science, conducting research on improving search engine results using quality-based methods under the supervision of Prof. Arabi Keshk. His master’s studies provided him with in-depth knowledge in machine learning, data mining, parallel computing, and high-performance systems. Building on this foundation, Zahera pursued doctoral studies at Paderborn University in Germany, joining the Data Science Group (DICE) under the supervision of Prof. Axel Ngonga. His PhD research centers on social media data analysis, situational awareness, and semantic web approaches. This academic journey reflects his consistent pursuit of excellence and strong interdisciplinary expertise.

Awards and Honors

Throughout his academic and professional career, Hamada Zahera has been recognized with several honors and awards that reflect his research excellence and innovative contributions. He was awarded a prestigious DAAD Scholarship to fully fund his doctoral studies at Paderborn University, highlighting his academic merit and potential. His team secured second place in the TREC Incident Stream challenge for categorizing disaster-related tweets into fine-grained types, showcasing his expertise in applying machine learning to crisis informatics. Earlier in his career, he was recognized with Ericsson’s Best Innovation Project Award for his graduation project, the Idrisian Navigation System, presented at IEEE EED. He also received the Graduation Distinction Award for ranking first in his undergraduate class in computer science at Menoufia University. Beyond awards, he has served as a reviewer for leading conferences such as NeurIPS, ICLR, ACL Rolling Review, and ESWC, demonstrating his role in advancing global research communities.

Research Focus

Hamada Zahera’s research focuses on the intersection of machine learning, natural language processing, and the semantic web, with a particular emphasis on knowledge graphs and crisis informatics. His doctoral research investigates methods for analyzing social media content to improve situational awareness during crises, enabling more effective event detection, prediction, and actionable information extraction. He has developed approaches for ontology generation from structured data, entity typing, and knowledge graph summarization, combining symbolic and neural methods to enhance semantic computing. His work integrates language models with graph-based techniques to advance keyphrase extraction, ontology alignment, and disaster tweet classification. A consistent theme in his research is leveraging heterogeneous data sources, including social media and environmental data, for real-world applications such as disaster response and crisis management. By bridging semantic technologies and deep learning, his research contributes to scalable, interpretable, and impactful solutions for data-driven decision-making and knowledge representation.

Publication

Title: ANTS: Abstractive Entity Summarization in Knowledge Graphs
Year: 2025

Title: UniQ-Gen: Unified Query Generation Across Multiple Knowledge Graphs
Year: 2025

Title: Enhancing Answers Verbalization Using Large Language Models
Year: 2024

Title: Generating SPARQL from Natural Language Using Chain-of-Thoughts Prompting
Year: 2024

Title: Universal Knowledge Graph Embeddings
Year: 2024

Conclusion

Hamada Zahera is highly suitable for a research award given his strong academic record, impactful contributions to semantic web and crisis informatics, international research exposure, and competitive achievements. With continued focus on interdisciplinary applications, greater industry collaboration, and leadership roles, his profile will become even stronger for prestigious global research honors.

Nooshin Nemati | Computer Science | Best Researcher Award

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Ms. Nooshin Nemati | Computer Science | Best Researcher Award

Ankara University, Turkey

Dr. Nooshin Nemati is a dedicated researcher in the fields of Artificial Intelligence, Deep Learning, and Medical Image Processing, currently pursuing her PhD in Computer Engineering at Ankara University, where she also contributes to multiple AI-based cancer detection projects. She holds a Master’s degree in Electrical and Electronics Engineering from Yuzuncu Yıl University and a Bachelor’s from Qazvin Azad University.

Profile:

Educational Background:

Nooshin Nemati is currently a PhD candidate in Computer Engineering at Ankara University. She earned her Master’s degree in Electrical and Electronics Engineering from Yuzuncu Yıl University with a completed her undergraduate studies at Qazvin Azad University in Iran.

Research Areas:

Her main research interests lie in Artificial Intelligence, Deep Learning, Medical Image Processing, and Computer Vision, particularly applied to cancer detection in histopathology images. She focuses on segmentation, classification, and detection tasks using advanced deep learning frameworks.

Projects and Contributions:

She has actively contributed to significant research initiatives such as the TUBITAK 1001 Project, focused on deep learning methodologies for breast cancer detection, and the BAP Project, which deals with cancer region detection in histopathology images. She has also been involved in the development of important datasets such as NuSeC and MiDeSeC, aimed at supporting machine learning in medical imaging. In addition, she has applied her technical skills in software development projects including system analysis and automation tools for banks.

Technical Skills:

Nooshin is proficient in AI, Machine Learning, Deep Learning, and programming frameworks such as ASP.NET and WordPress. She also holds certifications like Network+ and CCNA, showcasing her broad technical competence.

Citation Metrics:

  • Total Citations: 75

  • Citations Since 2020: 71

  • h-index: 6

  • h-index Since 2020: 5

  • i10-index: 3

  • i10-index Since 2020: 3

Publication Top Notes:

  • An imbalance-aware nuclei segmentation methodology for H&E stained histopathology images
    2023
    Citations: 22

  • Detection of colorectal cancer with vision transformers
    2022
    Citations: 11

  • Effect of color normalization on nuclei segmentation problem in H&E stained histopathology images
    2022
    Citations: 10

  • A hybridized deep learning methodology for mitosis detection and classification from histopathology images
    2023
    Citations: 8

  • CompSegNet: An enhanced U-shaped architecture for nuclei segmentation in H&E histopathology images
    2024
    Citations: 7

 

Srinivasa Rao Gundu | Computer Science | Best Researcher Award

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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]