Rajesh Eswarawaka | Autonomous Vehicles | Research Excellence Award

Posted on by Automobile Award

Research Excellence Award

Research Profile
Affiliation RNS Institute of Technology
Country India
Scopus ID 56568408300
Documents 22
Citations 31
h-index 3
Subject Area Autonomous Vehicles
Event Global Automobile Award
ORCID 0000-0003-2238-700X

Rajesh Eswarawaka
RNS Institute of Technology

This academic article presents a structured recognition-oriented overview of Rajesh Eswarawaka and considers available scholarly indicators within the framework of the Research Excellence Award. The discussion adopts a neutral and evidence-based approach and summarizes publication activity, indexed documentation, citation visibility, and disciplinary alignment in the field of autonomous vehicles.[1]

Abstract

This article evaluates publicly indexed academic indicators associated with Rajesh Eswarawaka and reviews their relevance in the context of scholarly recognition. The profile demonstrates documented research activity within autonomous vehicle studies supported through indexed publications, citation records, and measurable author metrics. Recognition through an award model is interpreted as an acknowledgment of research continuity, visibility, and domain contribution rather than a definitive measure of scientific value.[1]

Keywords

Research Excellence Award; Rajesh Eswarawaka; Autonomous Vehicles; Scopus Metrics; Academic Recognition

Introduction

Academic awards frequently consider publication activity, citation presence, and documented disciplinary engagement. Within engineering and mobility-related research, autonomous vehicle development remains an interdisciplinary field integrating intelligent systems, control methodologies, and transportation innovation.[2]

Research Profile

Rajesh Eswarawaka is associated with RNS Institute of Technology and maintains indexed scholarly documentation through Scopus and ORCID identifiers. Available metrics indicate 22 indexed documents, 31 citations, and an h-index of 3, representing measurable publication visibility within the indexed environment.[1]

Research Contributions

  • Research engagement related to autonomous mobility and engineering systems.
  • Indexed publication participation and documented scholarly dissemination.
  • Contribution to knowledge exchange through measurable citation activity.
  • Academic alignment with emerging transportation technologies.

Publications

Indexed publications provide evidence of research dissemination and establish scholarly traceability. Publication volume alone does not determine research quality but contributes to visibility and accessibility across academic databases.[1]

  • Indexed Documents: 22

Research Impact

Citation indicators and author-level metrics serve as quantitative signals for scholarly influence while requiring qualitative interpretation. The documented citation count suggests measurable engagement with published work and establishes an observable academic footprint.[1]

Award Suitability

Within the framework of the Global Automobile Award, the available indicators may support consideration under a research excellence model. Evaluation remains dependent on institutional criteria, peer assessment, originality, and documented contribution rather than numerical indicators alone.[3]

Conclusion

The available profile information associated with Rajesh Eswarawaka presents an indexed scholarly record aligned with autonomous vehicle research. Consideration for recognition under a research excellence framework reflects publication visibility, measurable academic engagement, and continued contribution to research communication.[1]

References

  1. Elsevier. (n.d.). Scopus author details: Rajesh Eswarawaka, Author ID 56568408300. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=56568408300
  2. Autonomous vehicle research literature overview and engineering context.
    https://doi.org/10.1109/5.771073
  3. Global Automobile Award. Award framework and evaluation context.
    https://automobileaward.com/

Mohammad Anis | Transportation Engineering | Best Researcher Award

Posted on by Automobile Award

Mr. Mohammad Anis | Transportation Engineering | Best Researcher Award

PhD Student | Texas A&M University| United States

Mr. Mohammad Anis is a dedicated Ph.D. candidate in Civil and Environmental Engineering at Texas A&M University, specializing in traffic safety, autonomous vehicle safety, crash risk modeling, pedestrian safety, and digital twin applications. He previously earned an M.S. in Civil Engineering from the University of Texas Rio Grande Valley (2021), where he conducted pioneering research on electrically heated rigid pavements, and a B.S. in Civil Engineering from Dhaka University of Engineering & Technology, Bangladesh (2018). With over four years of research experience, he has worked extensively on federally and state-funded projects with agencies such as FHWA, TxDOT, NCHRP, FMCSA, and ODOT, contributing to crash prediction models, pedestrian safety analysis, driver distraction studies, and systemic roadway design improvements. His dissertation integrates physics-informed near-miss data with hierarchical Bayesian frameworks for real-time crash occurrence risk estimation, pushing the boundaries of data-driven traffic safety planning. His professional experience includes roles as a doctoral researcher at Texas A&M University, a graduate research assistant at the Texas A&M Transportation Institute, and a graduate teaching assistant at both Texas A&M University and UTRGV, where he mentored students in transportation engineering and civil materials. His research interests lie in real-time safety modeling, AI and machine learning applications in transportation, spatiotemporal crash risk prediction, and sustainable roadway infrastructure. He is skilled in programming (Python, R, MATLAB), statistical modeling (MCMC, machine learning, time-series analysis), traffic simulation tools (SUMO, VISSIM, CARLA), and GIS platforms (ArcGIS, QGIS). He has published widely in high-impact journals such as Accident Analysis & Prevention and Transportation Research Record, along with multiple IEEE and Scopus-indexed conferences. Among his many accolades are the Keese-Wootan Transportation Fellowship (Top 5%), Zachry Excellence Fellowship, Terracon Foundation Scholarship, and Graduate Student Travel Awards. With a strong record of publications, collaborations, and peer-review service, Mr. Anis demonstrates outstanding potential to lead future research in traffic safety and intelligent mobility systems. He has achieved 30 citations across 27 documents, with 8 publications and an h-index of 2.

Profiles:  Scopus | ORCID

Featured Publications

Anis, M., Geedipally, S. R., & Lord, D. (2025). Pedestrian crash causation analysis near bus stops: Insights from random parameters Negative Binomial–Lindley model. Accident Analysis & Prevention, 220, 108137.

Zhang, H., Li, S., Li, Z., Anis, M., Lord, D., & Zhou, Y. (2025). Why anticipatory sensing matters in commercial ACC systems under cut-in scenarios: A perspective from stochastic safety analysis. Accident Analysis & Prevention, 218, 108064

Anis, M., Li, S., Geedipally, S. R., Zhou, Y., & Lord, D. (2025). Real-time risk estimation for active road safety: Leveraging Waymo AV sensor data with hierarchical Bayesian extreme value models. Accident Analysis & Prevention, 211, 107880.

Abdel-Raheem, M., & Anis, M. (2025). Toward sustainability: A new construction method for electrically heated rigid pavement systems. Transportation Research Record: Journal of the Transportation Research Board, 2679(3), 281–303.

Anis, M., & Abdel-Raheem, M. (2024). A review of electrically conductive cement concrete pavement for sustainable snow-removal and deicing: Road safety in cold regions. Transportation Research Record: Journal of the Transportation Research Board, 2678(9), 50–71.