Vilas Pol | Engineering | Excellence in Research Award

Excellence in Research Award

Vilas Pol
Affiliation Purdue University
Country United States
Scopus ID 7003373214
Documents 309
Citations 13,254
h-index 61
Subject Area Engineering
Event Global Best Achievements Awards
ORCID 0000-0002-4866-117X
Vilas Pol
Purdue University

Vilas Pol is presented in this academic profile as a researcher affiliated with Purdue University in the United States, within the subject area of Engineering. The supplied Scopus record lists 309 documents, 13,254 citations, and an h-index of 61. These bibliometric indicators provide a quantitative overview of the reported scholarly record and can support further examination of publication activity and citation visibility. The profile is associated with the Excellence in Research Award and the Global Best Achievements Awards. The figures and affiliation are reproduced from the information provided and should be verified against the relevant institutional and scholarly records. [1][2]

Abstract

The Excellence in Research Award profile presents the supplied academic information for Vilas Pol, affiliated with Purdue University in the United States and associated with the subject area of Engineering. The reported Scopus record contains 309 documents, 13,254 citations, and an h-index of 61. These indicators offer a quantitative perspective on publication activity and citation visibility within the indexed scholarly record. The profile connects this information with the Global Best Achievements Awards and provides links to relevant research databases. Bibliometric measures should be interpreted in their disciplinary context and alongside verified research outputs. The information presented does not independently establish award selection or confirm specific research achievements. [1][2]

Keywords

Excellence in Research Award, Vilas Pol, Purdue University, Engineering, academic research, scholarly publications, citation analysis, bibliometrics, h-index, Scopus author profile, Google Scholar, research visibility, academic recognition, Global Best Achievements Awards.

Introduction

Research excellence is commonly examined through the quality and relevance of scholarly contributions, publication records, collaboration, and the influence of research findings. Bibliometric indicators provide measurable information about publication and citation activity, although they cannot fully represent originality, practical value, or scientific quality. This profile summarizes the supplied academic indicators for Vilas Pol and identifies sources through which the underlying record can be reviewed. [1][4]

Research Profile

The supplied profile identifies Vilas Pol with Purdue University and the broad subject area of Engineering. The associated Scopus author identifier is 7003373214, with 309 documents, 13,254 citations, and an h-index of 61 reported in the provided data. These values may change as databases are updated and should be checked directly against the linked author record before formal use. [1]

Research Contributions

Research contributions are best described through verified publications, documented methods, project outcomes, patents, collaborations, and evidence of scientific or practical application. The supplied information establishes bibliometric totals but does not identify individual studies or particular engineering innovations. Therefore, specific discoveries and technical achievements are not attributed to Vilas Pol here without publication-level evidence. The linked scholarly profiles can support a more detailed assessment of his research record. [1][2]

Publications

The provided Scopus information reports 309 documents associated with the specified author identifier. A reliable publication list requires verification of each record, including its title, authorship, publication venue, year, and DOI where available. As individual publication details were not supplied for this page, no specific article titles or publication DOIs are attributed to the researcher. The Scopus and Google Scholar links provide starting points for reviewing available records. [1][2]

Research Impact

The reported citation total of 13,254 and h-index of 61 describe aspects of the supplied scholarly record. The h-index, introduced by J. E. Hirsch, combines publication productivity with citation frequency by identifying the number of publications that have each received at least that number of citations. Bibliometric indicators depend on database coverage, author identification, and retrieval date, so they should be interpreted alongside the content and context of the research. [4]

Award Suitability

The reported publication and citation indicators may provide background for considering a research recognition nomination. However, bibliometric totals alone cannot establish award eligibility, selection, or receipt of an award. A complete assessment should refer to the organizer’s published criteria and examine verified publications, originality, documented contributions, disciplinary relevance, and evidence of impact. The award website is provided as the primary starting point for checking the applicable recognition framework. [3]

Conclusion

This profile consolidates the supplied information for Vilas Pol, including the Purdue University affiliation, Engineering subject area, Scopus author identifier, and reported bibliometric measures. These details provide a useful starting point for examining the scholarly record, but publication-level verification remains necessary for a comprehensive account of research contributions. The linked academic databases and award website support further review while avoiding unsupported claims about individual achievements or award outcomes. [1][3]

References

  1. Elsevier. Scopus Author Profile: Vilas Pol, Author ID 7003373214. https://www.scopus.com/authid/detail.uri?authorId=7003373214.
  2. Google Scholar. Vilas Pol — Scholarly Profile. Publication and citation information associated with the supplied profile link.
    https://scholar.google.com/citations?user=COZp94QAAAAJ&hl=en&oi=sra.
  3. Global Best Achievements Awards. Official Website. Information about the organization and its recognition programs.
    https://bestachievements.com/.
  4. Functional Fertilizers: Potash-Tuned Prussian Blue Analogues for Potassium-Ion Battery Cathodes.
    https://doi.org/10.1002/aesr.70209.

Shaokun Ge | Engineering | Best Researcher Award 

Dr. Shaokun Ge | Engineering | Best Researcher Award 

China Academy of Safety Science and Technology | China

Shaokun Ge is a Chinese researcher whose work focuses on the thermal and toxic hazards associated with vehicle‐fires on bridges and the consequent implications for structure, rescue operations and traffic strategy. Having earned a BSc in Mining Engineering followed by a D.C. in Safety Engineering, he has developed a profile around four main research strands: the burning behaviour of bridge vehicle fires (including influences of fire type/scale, ambient wind, and decker spacing/sound-barriers); thermal damage to bridge structures and to personnel (through temperature prediction models and fire-resistant materials for key load-bearing elements, as well as thermal‐hazard evaluation from the standpoint of escape and rescue); toxic-gas generation and distribution in bridge‐fire scenarios (addressing asphyxiating/irritating gases, horizontal/vertical distribution at human height, and toxicity-evaluation modelling); and traffic management plus rapid extinguishing systems for bridge fires (e.g., controlling extremely hazardous vehicles, fire-fighting systems employing river water, and micro-foam extinguishing approaches). As of now, his h-index stands at — and his publication and citation counts are —, reflecting that bibliometric details are still being assembled/verified. His work integrates bridge engineering, fire safety, toxicology, and traffic management, aiming to enhance resilience and rapid response in the event of bridge vehicle‐fires.

Profile: Scopus 

Featured Publications 

Du, G., Liu, G., Ni, Y., Xu, B., & Ge, S. (2025). Fire-induced temperature response of main cables and suspenders in suspension bridges: 1:4-scaled experimental and numerical study. Case Studies in Thermal Engineering, 68, 105878.

Abhilash Pati | Computer Science | Research Pioneer Award in Biomedical Sciences | 1881

Dr. Abhilash Pati | Computer Science | Research Pioneer Award in Biomedical Sciences 

Dr. Abhilash Pati, Siksha O Anusandhan University, Bhubaneswar, India

Dr. Abhilash Pati is an accomplished Assistant Professor in the Department of Computer Science and Engineering at Siksha ‘O’ Anusandhan University, Bhubaneswar, India. With over 15 years of academic and research experience, he specializes in Artificial Intelligence, Machine Learning, Blockchain, IoT, and Fog Computing. He has authored three books, published over 60 research articles indexed in Scopus and WoS, and holds three patents, including a granted design utility. His work is widely recognized in high-impact journals such as IEEE Access, Scientific Reports, and PLOS ONE. Dr. Pati is also UGC-NET qualified and actively mentors students and research initiatives.

Profile

Google Scholar

🎓 Early Academic Pursuits

Dr. Abhilash Pati’s academic journey began with a strong passion for technology and computing, which later shaped his extensive career in computer science. From his early days, he exhibited a deep curiosity in how systems work, leading him to pursue higher education in Computer Science and Engineering. His dedication and academic rigor earned him recognition early on, culminating in qualifying the prestigious UGC-NET, a testament to his proficiency and commitment to academic excellence in India. His foundational training not only built his core technical skills but also fostered an analytical mindset that would serve as the cornerstone for his research pursuits in artificial intelligence and emerging technologies.

🧑‍🏫 Professional Endeavors

Dr. Abhilash Pati currently serves as an Assistant Professor in the Department of Computer Science and Engineering at Siksha ‘O’ Anusandhan University, Bhubaneswar, India, a premier institution recognized for academic innovation and research. With over 15 years of experience, Dr. Pati has built a career marked by dedication to teaching, curriculum development, and student mentorship.

Throughout his tenure, he has engaged in the delivery of undergraduate and postgraduate courses, supervised student projects, and contributed to the design of industry-aligned academic programs. His role is not limited to classroom instruction; he is actively involved in research groups and collaborative initiatives that bridge the gap between academia and industry. This dual focus on pedagogy and innovation has made him a respected figure among students and peers alike.

🔬 Contributions and Research Focus

Dr. Pati’s research spans several cutting-edge domains, including Artificial Intelligence (AI), Machine Learning (ML), Blockchain Technology, Internet of Things (IoT), and Fog Computing. These fields represent the frontier of technological advancement, and Dr. Pati’s contributions have helped propel research in these areas, especially in applications related to smart systems and intelligent data processing.

He has authored and co-authored over 60 research publications, many of which are indexed in Scopus and Web of Science (WoS). His work is regularly published in high-impact journals such as IEEE Access, Scientific Reports (Nature Portfolio), and PLOS ONE, reflecting the global recognition of his scholarly output.

Additionally, he has authored three academic books and holds three patents, including a granted design utility patent—further illustrating the practical implications of his research and its potential for technological innovation.

🏅 Accolades and Recognition

Dr. Pati’s academic and professional excellence has not gone unnoticed. His qualification in UGC-NET speaks volumes about his academic merit. Beyond that, his prolific publication record, patent filings, and scholarly books underscore his status as a thought leader in his field. His articles are frequently cited by researchers worldwide, and he has often been invited as a reviewer and editor for reputed international journals and conferences.

Moreover, his contributions are instrumental in shaping institutional research strategies, leading to enhanced collaborations and interdisciplinary research output within his university and beyond.

🌐 Impact and Influence

Dr. Pati’s influence extends far beyond the lecture hall or laboratory. As a mentor, he has guided numerous students toward academic excellence and research competence. Many of his mentees have gone on to pursue higher education, research careers, or roles in the tech industry, thanks to the foundational skills and inspiration he provided.

His interdisciplinary approach—linking AI with Blockchain, or IoT with Fog Computing—has opened up new research directions for his peers and collaborators. Furthermore, his publications have served as reference points in academia and industry, helping shape conversations around the ethical, scalable, and efficient deployment of smart technologies.

🌟 Legacy and Future Contributions

Dr. Abhilash Pati’s journey is one of sustained growth, intellectual curiosity, and purposeful impact. Looking ahead, he is poised to continue contributing to the evolving technological landscape by focusing on sustainable computing, ethical AI, and decentralized systems. His vision includes building robust academic-industry partnerships and creating innovation hubs that foster student-led research and startups.

His legacy will not just be defined by the number of papers or patents, but by the culture of curiosity, critical thinking, and compassion that he instills in the next generation of computer scientists. Through teaching, mentorship, and research, Dr. Pati is building a future where technology serves humanity more intelligently and equitably.

Publication Top Notes

An IoT-fog-cloud integrated framework for real-time remote cardiovascular disease diagnosis

Author: A Pati, M Parhi, M Alnabhan, BK Pattanayak, AK Habboush, …
Journal: Informatics
Year: 2023

Heartfog: Fog computing enabled ensemble deep learning framework for automatic heart disease diagnosis

Author: A Pati, M Parhi, BK Pattanayak
Journal: Intelligent and Cloud Computing
Year: 2022

COVID-19 pandemic analysis and prediction using machine learning approaches in India

Author: A Pati, M Parhi, BK Pattanayak
Journal: Advances in Intelligent Computing and Communication
Year: 2023

A review on prediction of diabetes using machine learning and data mining classification techniques

Author: A Pati, M Parhi, BK Pattanayak
Journal: International Journal of Biomedical Engineering and Technology
Year: 2021