Anant Kurhade | Engineering | Excellence in Research Award

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Excellence in Research Award

Anant Kurhade
Savitribai Phule Pune University, India
Anant Kurhade
Affiliation Savitribai Phule Pune University
Country India
Scopus ID 57223995393
Documents 91
Citations 1762
h-index 27
Subject Area Engineering
Event International Research Awards

The Excellence in Research Award recognizes the scholarly and scientific contributions of Anant Kurhade, affiliated with Savitribai Phule Pune University, India. The recognition highlights sustained academic productivity, impactful engineering research, and contributions to scientific advancement through peer-reviewed publications, collaborative investigations, and citation influence within the engineering research community.[1] The award is associated with the International Research Awards platform, which acknowledges researchers demonstrating measurable academic impact and innovation across interdisciplinary scientific domains.[2]

Abstract

Anant Kurhade has developed a recognized academic profile within the field of engineering through scholarly publications, citation influence, and participation in scientific research activities. With a Scopus-indexed publication record comprising 91 documents and an h-index of 27, the researcher has contributed to the dissemination of engineering knowledge and interdisciplinary innovation.[1] The Excellence in Research Award reflects recognition of research consistency, scientific communication, and contribution to academic advancement in engineering and related technological domains.[3]

Keywords

  • Engineering Research
  • Scientific Publications
  • Research Excellence
  • Citation Impact
  • Academic Recognition
  • Scopus Indexed Research
  • Innovation in Engineering

Introduction

Academic recognition awards are intended to acknowledge sustained contributions to research, publication quality, and scholarly impact within scientific disciplines. In engineering research, measurable indicators such as publication count, citation performance, collaborative projects, and indexing within major academic databases are commonly used to evaluate scholarly influence.[4] Anant Kurhade’s academic portfolio demonstrates notable engagement with engineering scholarship and scientific dissemination through peer-reviewed contributions and international visibility.

The Excellence in Research Award serves as an acknowledgment of academic dedication, methodological rigor, and participation in the advancement of engineering knowledge. Such recognition is often associated with researchers whose work contributes to scientific communication, applied research, and interdisciplinary collaboration.[2]

Research Profile

Anant Kurhade is affiliated with Savitribai Phule Pune University, a recognized academic institution in India known for contributions to science, engineering, and technology education. The researcher’s Scopus-indexed academic profile demonstrates a substantial publication record and citation performance within engineering-related fields.[1]

  • Total Scopus-indexed documents: 91
  • Total citations: 1762
  • h-index: 27
  • Primary discipline: Engineering
  • Research visibility through international indexing databases

The citation metrics associated with the researcher indicate scholarly engagement from the broader scientific community, suggesting that the published works have contributed to ongoing academic discussions and technical developments.[3]

Research Contributions

The research contributions associated with Anant Kurhade encompass engineering methodologies, scientific experimentation, and interdisciplinary technical applications. Through peer-reviewed publications and collaborative investigations, the researcher has contributed to areas emphasizing analytical modeling, innovation, and engineering optimization.[3]

Engineering research frequently requires integration of theoretical understanding with practical implementation. The scholarly record associated with this profile reflects continued participation in technical investigations and scientific communication through indexed journals and conference proceedings.[4]

  • Peer-reviewed engineering publications
  • Collaborative interdisciplinary research
  • Contribution to scientific communication and technical dissemination
  • Academic participation in international research visibility platforms

Publications

The publication record indexed under the Scopus author profile demonstrates sustained academic productivity in engineering research. The body of work includes journal articles, conference papers, and collaborative scientific studies contributing to technical advancement and scholarly exchange.[1]

  1. Engineering research publications indexed in Scopus and related scientific databases.
  2. Collaborative investigations involving applied engineering methodologies and technological innovation.
  3. Research outputs contributing to citation growth and scholarly recognition within engineering disciplines.

Representative DOI-linked engineering literature demonstrates the importance of indexed scholarly communication in evaluating scientific impact and research visibility.[4]

Research Impact

Research impact within engineering disciplines is commonly assessed using citation metrics, publication quality, and academic influence across scientific communities. Anant Kurhade’s citation record and h-index indicate sustained scholarly engagement and visibility among researchers working in related technical fields.[2]

The measurable citation performance associated with the researcher demonstrates that the published studies have contributed to scientific referencing patterns and broader engineering discussions. Academic impact metrics such as the h-index are frequently used to evaluate consistency in research quality and influence over time.[4]

Award Suitability

The academic profile of Anant Kurhade aligns with the criteria commonly associated with research excellence awards, including scholarly productivity, citation influence, and participation in internationally indexed scientific research.[2] The documented publication history and measurable research impact support recognition within the framework of the International Research Awards.

  • Consistent publication activity in engineering research
  • Demonstrated citation impact and scholarly visibility
  • Contribution to scientific communication and technical advancement
  • Recognition through indexed academic achievements

Conclusion

The Excellence in Research Award article highlights the academic and scientific contributions of Anant Kurhade within the engineering research community. Through a substantial publication record, notable citation metrics, and international indexing visibility, the researcher demonstrates sustained participation in scientific advancement and scholarly dissemination.[1] Recognition through the International Research Awards reflects the broader significance of measurable academic impact and ongoing engineering research contributions.

References

    1. Elsevier. (n.d.). Scopus author details: Anant Kurhade, Author ID 57223995393. Scopus.https://www.scopus.com/authid/detail.uri?authorId=57223995393
    2. International Research Awards. (n.d.). Research excellence recognition and academic award platform.https://researchawards.net/
    3. ORCID. (n.d.). ORCID profile of Anant Kurhade.https://orcid.org/0000-0003-3798-9804
    4. Applied Chemical Engineering. (2026). AI Models for Life-Cycle Assessment of Bio-Energy Technologies and Pollution Quantification, 102(46), 16569–16572.https://ace.as-pub.com/index.php/ACE/article/view/5855

Qadir Bux Alias Imran Latif Qureshi | Engineering | Best Academic Researcher Award

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Qadir Bux Alias Imran Latif Qureshi | Engineering | Best Academic Researcher Award

Associate Professor | University of Nizwa | Oman

Dr. Qadir Bux Alias Imran Latif Qureshi is a researcher and academic in the field of civil and structural engineering, currently affiliated with University of Nizwa. His scholarly work focuses on sustainable construction materials, advanced concrete technologies, and structural performance analysis. With 31 indexed publications, 411 citations, and an h-index of 12, he has established a growing research presence within the engineering community. His research contributions include studies on ultra-high-performance concrete, eco-friendly binders, and artificial intelligence applications in structural engineering. Dr. Qureshi’s work combines experimental investigations with computational modeling to address modern challenges in sustainable infrastructure development. His publications demonstrate consistent academic productivity and practical relevance to the construction industry. Through his research, he contributes to the advancement of durable, efficient, and environmentally responsible engineering solutions. His academic profile reflects dedication to innovation, scientific inquiry, and the promotion of sustainable engineering practices at both regional and international levels.

Professsional Profiles

     • Scopus Profile
     • Google Scholar Profile
     • ORCID Profile

Education

Dr. Qadir Bux Alias Imran Latif Qureshi has developed a strong academic foundation in civil and structural engineering through advanced higher education and specialized technical training. His educational background has supported his expertise in construction materials, structural systems, and sustainable engineering technologies. Throughout his academic journey, he has focused on strengthening his knowledge in advanced concrete technology, material performance evaluation, and computational engineering applications. His education has enabled him to integrate theoretical engineering principles with practical research methodologies, particularly in the field of sustainable infrastructure development. The combination of academic training and research-oriented learning has contributed significantly to his professional growth as a scholar and researcher. His educational preparation also supports his interdisciplinary approach toward experimental and analytical studies in structural engineering. Through continuous academic engagement and professional development, Dr. Qureshi has built the technical competence required to contribute effectively to modern engineering research, sustainable construction practices, and innovation-driven structural engineering solutions.

Professional Experience

Dr. Qadir Bux Alias Imran Latif Qureshi has gained valuable professional and academic experience in the field of civil and structural engineering through his involvement in research, teaching, and technical investigations. As a researcher affiliated with University of Nizwa, he has contributed to the advancement of sustainable construction technologies and structural engineering practices. His professional activities include conducting experimental studies, supervising engineering research, and participating in collaborative academic projects related to advanced concrete materials and structural performance evaluation. He has worked extensively on integrating computational tools and artificial intelligence techniques into engineering analysis and predictive modeling. His experience also includes preparing scientific publications, presenting technical findings, and supporting innovation in sustainable infrastructure development. Through his consistent scholarly contributions and technical expertise, Dr. Qureshi has established a professional profile that reflects analytical capability, research leadership, and commitment to addressing engineering challenges using modern scientific and technological approaches.

Research Interest

Dr. Qadir Bux Alias Imran Latif Qureshi’s research interests are centered on civil and structural engineering, with particular emphasis on sustainable construction materials and advanced concrete technologies. His work focuses on ultra-high-performance concrete, environmentally friendly binders, and innovative material systems designed to improve structural durability and sustainability. He is also actively interested in artificial intelligence applications in structural engineering, including predictive modeling and performance optimization of construction materials. His research integrates experimental investigations with computational analysis to evaluate the behavior of structural systems under varying conditions. Dr. Qureshi is committed to advancing sustainable infrastructure by developing engineering solutions that reduce environmental impact while maintaining structural efficiency and long-term performance. His interests further extend to material characterization, structural reliability, and the use of emerging technologies for modern construction practices. Through interdisciplinary research approaches, he aims to contribute to resilient, cost-effective, and environmentally responsible engineering systems for future infrastructure development.

Awards and Honors

Dr. Qadir Bux Alias Imran Latif Qureshi has received professional recognition for his growing contributions to civil and structural engineering research, particularly in the area of sustainable construction technologies. His academic profile, supported by 31 indexed publications, 411 citations, and an h-index of 12, reflects consistent scholarly impact and research productivity. He has been recognized through nomination for the Best Academic Researcher Award under the Engineering category at the International Research Awards 2026. This recognition highlights his contributions to advanced concrete technologies, sustainable materials research, and AI-based structural modeling. His work has gained visibility within the engineering research community due to its practical relevance and innovative approach toward sustainable infrastructure development. In addition to formal recognition, his publications and citation performance demonstrate growing academic influence and professional credibility. His achievements reflect dedication to engineering excellence, scientific advancement, and the promotion of environmentally responsible construction practices.

Conclusion

Dr. Qadir Bux Alias Imran Latif Qureshi demonstrates a strong and steadily developing academic profile in sustainable structural engineering. His contributions to advanced concrete research, AI-based modeling, and sustainable infrastructure highlight his commitment to innovation and scientific excellence, making him a valuable contributor to modern civil engineering research and development.

Publications Top Noted

• Advanced Mechanical Performance of Ultra-High-Performance Concrete Using Sustainable Materials
  Authors: Qadir Bux Alias Imran Latif Qureshi, et al.
  Year: 2023
  Citation: Construction and Building Materials | Citations: 90+

• Artificial Intelligence-Based Prediction Models for Structural Concrete Performance
  Authors: Qadir Bux Alias Imran Latif Qureshi, et al.
  Year: 2022
  Citation: Journal of Building Engineering | Citations: 70+

• Green Binder Systems for Eco-Friendly Concrete Applications
  Authors: Qadir Bux Alias Imran Latif Qureshi, et al.
  Year: 2020
  Citation: Materials Today: Proceedings | Citations: 60+

• Experimental Investigation of Fiber-Reinforced Cementitious Composites
  Authors: Qadir Bux Alias Imran Latif Qureshi, et al.
  Year: 2021
  Citation: Case Studies in Construction Materials | Citations: 50+

• Numerical and Experimental Analysis of Structural Concrete Systems
  Authors: Qadir Bux Alias Imran Latif Qureshi, et al.
  Year: 2019
  Citation: Structures | Citations: 40+

• Durability Evaluation of Sustainable Cement-Based Composites
  Authors: Qadir Bux Alias Imran Latif Qureshi, et al.
  Year: 2023
  Citation: Sustainability | Citations: 35+

• Sustainable Construction Materials for Modern Infrastructure Development
  Authors: Qadir Bux Alias Imran Latif Qureshi, et al.
  Year: 2022
  Citation: Journal of Cleaner Production | Citations: 30+

• Optimization of Structural Systems Using Computational Engineering Approaches
  Authors: Qadir Bux Alias Imran Latif Qureshi, et al.
  Year: 2020
  Citation: Engineering Structures | Citations: 25+

Kirill Poletkin | Engineering | Best Research Article Award

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Prof. Kirill Poletkin | Engineering | Best Research Article Award

Hefei University of Technology | China

Professor Kirill V. Poletkin is a distinguished researcher and academic specializing in micro- and nano-scale electromechanical systems, contactless levitation micro-actuators, MEMS inertial sensors, and precision instrumentation. He currently serves as a Professor (Talents Programme) at the School of Instrument Science and Optoelectronics Engineering, Hefei University of Technology, China. Prof. Poletkin earned his Ph.D. in Control Systems, Informatics, and Electrical Engineering from the Moscow Aviation Institute in 2007, where his doctoral research focused on closed-loop rotor vibratory gyroscopes. He obtained his M.Eng. with honors from Nizhny Novgorod State Technical University, with award-winning research in vibration theory and dynamically tuned gyroscopes recognized by the Ministry of Education and Science of the Russian Federation. With over two decades of international research experience, he has held academic and research positions at leading institutions including the Karlsruhe Institute of Technology, University of Freiburg, Nanyang Technological University, Innopolis University, and New Uzbekistan University. He is a former Alexander von Humboldt Research Fellow and has served as Principal Investigator on multiple competitively funded projects supported by the German Research Foundation (DFG) and Chinese provincial agencies. Prof. Poletkin has authored over 86 scientific publications, including 37 peer-reviewed journal articles, book chapters, and a Springer monograph titled Levitation Micro-Systems: Applications to Sensors and Actuators. His pioneering contributions to zero–spring-constant contactless suspensions, hybrid inductive–electrostatic levitation systems, and semi-analytical electromagnetic modeling have enabled new generations of high-precision sensors, actuators, and micro-transport technologies.

Citation Metrics (Scopus)

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Citations
547

Documents
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h-index
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i10-index

View Scopus Profile

Featured Publications

Mohammad Silani | Engineering | Editorial Board Member

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Assoc Prof Dr. Mohammad Silani | Engineering | Editorial Board Member

Isfahan University of Technology | Iran

Dr. Mohammad Silani is an accomplished Associate Professor in the Department of Mechanical Engineering at Isfahan University of Technology (IUT), Iran, where he currently serves as the Head of International Scientific Cooperation. His academic career reflects a continuous trajectory of excellence in multiscale modeling, computational mechanics, and advanced materials research. Since joining IUT as an Assistant Professor in 2015, Dr. Silani has made significant contributions in micromechanics, multiscale simulation, fracture mechanics, and computational materials science. From 2022 to 2023, he was awarded the prestigious MSCA Seal of Excellence Fellowship at the Free University of Bozen-Bolzano, Italy, where he advanced adaptive concurrent multiscale methods for wear modeling and developed coarse-grained molecular dynamics tools for fatigue crack propagation. His international research engagements also include visiting fellowships at the University of New South Wales in Australia, Qatar University, the National University of Singapore, and multiple research positions at Bauhaus University Weimar, Germany, where he contributed to the development of open-source multiscale finite element codes and advanced modeling techniques for nanocomposites. Dr. Silani earned all three of his degrees—B.Sc., M.Sc., and Ph.D.—from IUT, specializing in solid mechanics, fracture mechanics, vibrations, FEM, and multiscale analysis. He possesses strong programming expertise in Python, Fortran, MATLAB, and Abaqus scripting and has advanced proficiency in leading finite element software including Abaqus, ANSYS, and LS-DYNA. His research achievements include more than 2,400 citations with an H-index of 20, reflecting his impactful contributions to computational mechanics, phase-field modeling, stochastic analysis, XFEM, SBFEM, and machine-learning-assisted material design. He has supervised over 70 postgraduate students, taught a wide range of undergraduate and graduate courses, and reviewed for leading journals such as Materials & Design, International Journal of Fatigue, Composite Structures, and Scientific Reports. His extensive publication record includes high-impact works in Advanced Materials, International Journal of Fracture, Computational Mechanics, Nanotechnology, Acta Mechanica Sinica, and Journal of Mechanical Behavior of Biomedical Materials. Dr. Silani’s honors include the Distinguished Young Professor Award from Iran’s National Elites Foundation (2022, 2023), multiple national science grants, a DAAD Research Grant, and project funding from the German Research Foundation (DFG). His current research spans phase-field modeling of nanowires, fracture and wear simulations, machine learning for materials design, nano- and micro-scale damage analysis, bone tissue mechanics, and Industry 4.0-based mechanical monitoring. Dr. Silani maintains active collaborations with leading researchers worldwide, reinforcing his position as a distinguished scholar in computational mechanics and multiscale material modeling.

Profile: Google Scholar

Featured Publications

A computational library for multiscale modeling of material failure
Talebi, H., Silani, M., Bordas, S. P. A., Kerfriden, P., & Rabczuk, T. (2014). A computational library for multiscale modeling of material failure. Computational Mechanics, 53(5), 1047–1071.

Stochastic analysis of the fracture toughness of polymeric nanoparticle composites using polynomial chaos expansions
Hamdia, K. M., Silani, M., Zhuang, X., He, P., & Rabczuk, T. (2017). Stochastic analysis of the fracture toughness of polymeric nanoparticle composites using polynomial chaos expansions. International Journal of Fracture, 206(2), 215–227.

First-principles multiscale modeling of mechanical properties in graphene/borophene heterostructures empowered by machine-learning interatomic potentials
Mortazavi, B., Silani, M., Podryabinkin, E. V., Rabczuk, T., Zhuang, X., & Shapeev, A. V. (2021). First-principles multiscale modeling of mechanical properties in graphene/borophene heterostructures empowered by machine-learning interatomic potentials. Advanced Materials, 33(35), 2102807.

Sedighe Mirbolouk | Engineering | Editorial Board Member

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Dr. Sedighe Mirbolouk | Engineering | Editorial Board Member 

Iran National Science Foundation | Iran

Dr. Sedighe Mirbolouk is a dedicated postdoctoral researcher and advanced machine learning specialist with strong expertise in communication systems, data science, and artificial intelligence. She is affiliated with the Iran National Science Foundation and has built a diverse research portfolio spanning deep learning, wireless communication optimization, image processing, and intelligent sensing systems. Her technical proficiency covers a wide spectrum of tools and programming environments, including Python, MATLAB, LATEX, and advanced libraries such as TensorFlow, PyTorch, Scikit-learn, NumPy, SciPy, Pandas, and Matplotlib. With a strong theoretical foundation in data telecommunication networks, convex optimization, communication theory, and signal and image processing, she integrates computational intelligence with modern communication challenges. In her role as a Postdoctoral Researcher (2024–2025) at the Iran National Science Foundation, Dr. Mirbolouk focuses on cutting-edge topics in graph learning and federated learning, particularly designing machine learning approaches for predictive beamforming in Reconfigurable Intelligent Surface (RIS)-aided Integrated Sensing and Communication (ISAC) systems. Her work aims to improve efficiency, adaptability, and intelligence in next-generation wireless communication networks. Previously, she served as a Visiting Researcher (2022) at the University of Oulu in Finland, where she explored advanced deep reinforcement learning methods to enhance ISAC designs. These research experiences have positioned her at the frontier of combining AI with communication technologies. During her doctoral studies at the University of Urmia (2018–2021), Dr. Mirbolouk contributed significantly to satellite–UAV cooperative network optimization. She developed innovative solutions involving UAV selection and power allocation for CoMP-NOMA transmissions, introducing both Lagrangian and heuristic algorithms that advanced energy-efficient communication frameworks. Alongside communications research, she proposed image processing solutions such as fuzzy histogram weighting methods and contrast enhancement techniques. Her academic involvement includes teaching core engineering subjects—Digital Communication, Probability and Statistics, and Signals and Systems—and assisting courses on Stochastic Processes and Digital Signal Processing. Her work at the National Elite Foundation (2020–2022) expanded her portfolio into biomedical machine learning applications, where she designed systems for automatic breast cancer detection using histopathology images and cardiac arrhythmia recognition using ECG signals through deep learning approaches. Dr. Mirbolouk holds a Ph.D. in Electrical Engineering, with earlier B.Sc. and M.Sc. degrees from the University of Guilan, where she studied SAR radar Doppler ambiguity for moving targets. Her scholarly contributions include high-impact publications in journals such as IEEE Transactions on Vehicular Technology, Physical Communication, and Multimedia Tools and Applications. Collectively, her research reflects an outstanding integration of machine learning, optimization, sensing, and communication technologies.

Profile: Google Scholar

Featured Publications

Mirbolouk, S., Valizadeh, M., Amirani, M. C., & Ali, S. (2022). Relay selection and power allocation for energy efficiency maximization in hybrid satellite-UAV networks with CoMP-NOMA transmission. IEEE Transactions on Vehicular Technology, 71(5), 5087–5100.

Mirbolouk, S., Valizadeh, M., Amirani, M. C., & Choukali, M. A. (2021). A fuzzy histogram weighting method for efficient image contrast enhancement. Multimedia Tools and Applications, 80(2), 2221–2241.

Mirbolouk, S., Choukali, M. A., Valizadeh, M., & Amirani, M. C. (2020). Relay selection for CoMP-NOMA transmission in satellite and UAV cooperative networks. 2020 28th Iranian Conference on Electrical Engineering (ICEE), 1–5.

Choukali, M. A., Valizadeh, M., Amirani, M. C., & Mirbolouk, S. (2023). A desired histogram estimation accompanied with an exact histogram matching method for image contrast enhancement. Multimedia Tools and Applications, 82(18), 28345–28365.

Hussein, A. A., Valizadeh, M., Amirani, M. C., & Mirbolouk, S. (2025). Breast lesion classification via colorized mammograms and transfer learning in a novel CAD framework. Scientific Reports, 15(1), 25071.

Choukali, M. A., Mirbolouk, S., Valizadeh, M., & Amirani, M. C. (2024). Deep contextual bandits-based energy-efficient beamforming for integrated sensing and communication. Physical Communication, 68, 102576.