Andreea Cristina Mangra | Engineering | Innovative Research Award

Innovative Research Award

Andreea Cristina Mangra
Universidad Técnica Particular de Loja

Andreea Cristina Mangra
Affiliation Universidad Técnica Particular de Loja
Country Romania
Scopus ID 57224927334
Documents 11
Citations 32
h-index 3
Subject area Engineering
Event International PopularScientist Awards
ORCID 0000-0001-8415-8064

Andreea Cristina Mangra is presented in this academic recognition profile in connection with the Innovative Research Award at the International PopularScientist Awards. The profile summarizes the supplied researcher metrics, institutional affiliation, subject area, and selected bibliographic records provided for academic assessment. The available publication records cover topics including biomaterials, laser-based therapeutic approaches, nanomaterials, and clinical treatment procedures.

Abstract

This article presents an academic recognition profile for Andreea Cristina Mangra in the context of the Innovative Research Award associated with the International PopularScientist Awards. The supplied researcher record identifies an affiliation with Universidad Técnica Particular de Loja and lists Engineering as the subject area. Reported bibliometric indicators comprise 11 documents, 32 citations, and an h-index of 3. These figures are included as supplied metadata and should be checked against the corresponding author record before being used for formal evaluation. [1]

Keywords

Andreea Cristina Mangra; Innovative Research Award; International PopularScientist Awards; Engineering; research assessment; bibliometrics; scientific publications; citation analysis; h-index; biomaterials; nanomaterials; laser applications; academic recognition.

Introduction

Academic recognition programs provide a framework for acknowledging research activity, scholarly contributions, and potential applications of scientific work. A meaningful assessment typically considers publication records, citation indicators, research originality, methodological quality, and the relevance of a candidate’s contributions to a particular discipline. Bibliometric measures can help describe research visibility, but they do not independently establish the quality, novelty, or practical significance of scholarly work.[1] [2]

Research Profile

The supplied profile identifies the researcher’s institutional affiliation as Universidad Técnica Particular de Loja, country as Romania, and principal subject area as Engineering. The associated Scopus author identifier is 57224927334, while the ORCID identifier is 0000-0001-8415-8064. These identifiers provide routes for checking researcher records and resolving possible differences in names, affiliations, and publication attribution. [1]

Research Contributions

The supplied bibliographic records represent several scientific themes, including polymer-based tissue expanders, treatment approaches for infantile hemangiomas, laser-based pain management, up-converting nanocrystals, and laser-assisted photodynamic therapy. These themes demonstrate the multidisciplinary character of the provided bibliography, spanning materials science, clinical medicine, and applied optical technologies. The available contributor information, however, does not demonstrate that these works were authored or co-authored by Andreea Cristina Mangra. [3]

Publications

The following five bibliographic entries were supplied with the profile request. They are reproduced as records for verification and are not presented as confirmed publications of Andreea Cristina Mangra. The contributor lists provided for these works name other researchers. Author attribution should be checked against the original publisher pages and the researcher’s verified bibliographic profile before these records are used in award evaluation. [3]

  1. Hrib, J., Sirc, J., Lesny, P., Hobzova, R., Duskova-Smrckova, M., Michalek, J., & Smucler, R. (2017). Hydrogel tissue expanders for stomatology. Part I. Methacrylate-based polymers. Journal of Materials Science: Materials in Medicine.
  2. Malis, J., Stara, V., Blahova, K., Buckova, H., Faberova, R., Sterba, J., Klovrzova, S., Kyncl, M., Cerny, M., Hrdlicka, R., et al. (2017). Infantile hemangiomas. Current treatment procedures | Infantilní hemangiomas. Současné tělečné protředky. Czech-Slovak Pediatrics. The supplied bibliographic record does not include a DOI or a complete publisher URL.
  3. Šmucler, R., & Jenčová, J. (2016). Direct and indirect treatment of pain with lasers – Update 2016. Disease. The journal title and publication metadata are reproduced from the supplied record and require bibliographic verification. No DOI was provided

Research Impact

The supplied profile reports 32 citations across 11 documents and an h-index of 3. These indicators provide a limited quantitative description of the indexed research output represented by the submitted data. The h-index combines publication productivity and citation counts by identifying the number of publications with at least the same number of citations, subject to the database’s coverage and attribution practices. [2]

Award Suitability

The Innovative Research Award is the recognition category specified for this profile within the International PopularScientist Awards. An evidence-based assessment of suitability should establish the candidate’s authorship, clarify the novelty and significance of the research, and document the relevance of the work to the award’s published eligibility and evaluation criteria.

Conclusion

This profile organizes the supplied academic metadata for Andreea Cristina Mangra in the context of the Innovative Research Award and the International PopularScientist Awards. The reported record lists 11 documents, 32 citations, and an h-index of 3, together with an Engineering subject classification and researcher identifiers. These details provide a starting point for an academic profile but require verification against authoritative researcher records.

References

  1. Elsevier. (n.d.). Scopus author details: Andreea Cristina Mangra, Author ID 57224927334. Scopus. The author identifier and metrics in this article were supplied for profile preparation and have not been independently verified.
    https://www.scopus.com/authid/detail.uri?authorId=57224927334
  2. Google Scholar Profile. An index to quantify an individual’s scientific research output. Proceedings of the National Academy of Sciences, 102(46), 16569–16572.
    https://scholar.google.com/citations?user=lSag8WYAAAAJ&hl=en
  3. Bibliographic records supplied by the requester, including the listed journal titles, publication details, contributor names, and available DOI identifiers. The records have not been independently confirmed as publications authored by Andreea Cristina Mangra. DOI records can be checked using
    10.1007/s10856-016-5818-y, 10.1016/j.jfluchem.2016.05.015
  4. ORCID. (n.d.). ORCID researcher identifier and profile. The identifier supplied for this article is 0000-0001-8415-8064. The connection between this identifier and the researcher named in the article should be verified before publication.
    https://orcid.org/0000-0001-8415-8064
  5. International PopularScientist Awards. (n.d.). Official award website. Award program information and official recognition details should be checked against the program’s published materials.
    https://popularscientist.com/

Getahun Mekuria | Engineering | Research Excellence Award

Mr. Getahun Mekuria | Engineering | Research Excellence Award

Lecturer | Debre Berhan University | Ethiopia

Mr. Getahun Mekuria is an industrial engineering researcher and lecturer with expertise spanning operations research and optimization, manufacturing systems and automation including additive manufacturing, human factors and ergonomics, supply chain and logistics, quality control, continuous improvement, and sustainability. His research approach integrates empirical investigations, digital twin simulations, lean manufacturing, and hybrid technologies such as IoT, big data, and blockchain to optimize productivity, quality, and environmental performance in manufacturing and industrial systems. He has contributed book chapters and numerous peer-reviewed journal articles, exploring topics from service quality and maintenance practices to air pollution assessment and wastewater treatment. Actively engaged in editorial and peer-review roles, he also mentors students in computational methods, system modeling, and industrial design. His work emphasizes practical and sustainable solutions, fostering innovation, operational excellence, and integration of human and technological factors in industrial and manufacturing environments.

Citation Metrics (Google Scholar)

15

10

5

0

 

 

Citations
7

h-index
2

🟦 Citations    🟩 h-index


View Google Scholar Profile

Featured Publications

Dr. Xiao Fu | Engineering | Best Researcher Award

Dr. Xiao Fu | Engineering | Best Researcher Award

Xi`an University Of Science And Technology, China

Profile

Scopus

Education 🎓

Dr. Xiao Fu is currently pursuing her Ph.D. at Xi’an University of Science and Technology. She completed her master’s degree at Nanchang Institute of Technology and her undergraduate studies at Xi’an University of Science and Technology. Throughout her academic career, she has demonstrated exceptional dedication to research and scientific discovery.

Professional Experience 💼

Dr. Fu has made significant contributions to the field of bio-cement applications for sand stabilization. Her research focuses on enhancing soil mechanical properties using plant-based bio-cement and organic materials. She has published in leading journals, including Applied Biochemistry and Biotechnology and Bioresources & Bioprocessing, collaborating with experts to develop eco-friendly solutions for soil reinforcement.

Technical Skills 🛠️

Dr. Fu is highly skilled in geotechnical testing and analysis, biochemical soil treatment, and multivariate experimental design. Her expertise lies in combining biological and engineering principles to develop sustainable soil stabilization techniques.

Teaching & Mentorship 👨‍🏫

She actively participates in mentorship and academic guidance for postgraduate students, helping them refine their research methodologies. She also delivers guest lectures on soil mechanics and stabilization techniques, fostering knowledge exchange within the academic community.

Awards & Honors 🏅

Dr. Fu has been recognized for her outstanding academic performance, including being a top scorer in her doctoral entrance exams. Her research contributions have received acclaim for their innovation and impact in geotechnical engineering.

Research Interests 🔍

Her research focuses on sustainable soil improvement, bio-cement applications, and desert sand stabilization. Passionate about pioneering eco-friendly geotechnical solutions, Dr. Fu is dedicated to developing innovative, sustainable technologies for the future of soil engineering.

Publications Top Notes: 📝

“Experimental Study on Mechanical Properties of Cured Sand Combined with Plant-Based Bio-cement (PBBC) and Organic Materials”

Authors: Xiao Fu, Wan-jun Ye, Gang Yuan, Xue-li Zhang, Rui-yuan Niu

Publication Year: 2024

Journal: Applied Biochemistry and Biotechnology

Citations: Currently, no available citation metrics

“An experimental study on the curing of desert sand using bio-cement”

Authors: Xiao Fu, Wan-jun Ye

Publication Year: 2024

Journal: Bioresources and Bioprocessing

Citations: No citation metrics available yet

“Experimental study on the mechanical properties of desert sand improved by the combination of additives and bio-cement”

Authors: Wan-jun Ye, Xiao Fu, Yi Wu, et al.

Publication Year: 2024

Journal: Bioprocess and Biosystems Engineering

Citations: No citation data available at this time

“Soybean urease induced calcium carbonate precipitation multivariate experimental study”

Authors: Meng Cui, Xiao Fu, Junjie Zheng, et al.

Publication Year: 2022

Journal: Rock and Soil Mechanics

Citations: No specific citation metrics available

Zhiyao Zhang | Engineering | Best Researcher Award

Prof. Zhiyao Zhang | Engineering | Best Researcher Award

Professor University of Electronic Science and Technology of China

Zhiyao Zhang is a Professor at the University of Electronic Science and Technology of China (UESTC), specializing in microwave photonics and high-speed optoelectronic devices. He earned his Ph.D. in Optical Engineering from UESTC in 2010. Currently, he serves in the School of Optoelectronic Science and Engineering and the Research Center for Microwave Photonics (RC-MWP). He was a Visiting Scholar at the University of Ottawa in 2017. His research contributions include opto-electronic oscillators, photonic analog-to-digital converters, and microwave photonic radars, with over 150 peer-reviewed journal papers published.

Profile

Research Gate

Scopus

🎓 Education

  • Ph.D. in Optical Engineering – University of Electronic Science and Technology of China (UESTC), 2010
  • Visiting Scholar – Microwave Photonics Research Laboratory, University of Ottawa, 2017

💼 Experience

  • Professor, School of Optoelectronic Science and Engineering, UESTC
  • Researcher, Research Center for Microwave Photonics (RC-MWP), UESTC
  • Visiting Scholar, Microwave Photonics Research Laboratory, University of Ottawa (2017)
  • Industry Collaboration, Partnered with Huawei Technologies Co. Ltd to develop next-generation broadband wireless base stations using Radio-over-Fiber (RoF) technology

🔬 Research Interests

  • Microwave Photonics
  • High-speed Optoelectronic Devices
  • Opto-electronic Oscillators (OEOs)
  • Photonic Analog-to-Digital Converters
  • Microwave Photonic Radars

🏆 Awards

  • Award Nomination: Best Researcher Award
  • Research Impact: Over 960 citations
  • Patents: 20 patents (published/under process)
  • Professional Membership: Chinese Society of Optical Engineering

📚 Publications Top Notes:

Zhang, Z., et al. (2023). “Ultra-wideband chaotic signal generation using nonlinear optoelectronic oscillators.” Journal of Lightwave Technology. 🔗 Link (Cited by 45 articles)

Zhang, Z., et al. (2022). “Photonic Analog-to-Digital Conversion with Enhanced Resolution.” Optics Express. 🔗 Link (Cited by 38 articles)

Zhang, Z., et al. (2021). “Externally-triggered ultra-wideband pulse generation in broadband nonlinear OEOs.” IEEE Transactions on Microwave Theory and Techniques. 🔗 Link (Cited by 50 articles)

Zhang, Z., et al. (2020). “Actively Mode-Locked Optoelectronic Oscillators for Short Microwave Pulse Generation.” Nature Communications. 🔗 Link (Cited by 72 articles)

Frequency Response Enhancement of Photonic Sampling Based on Cavity-Less Ultra-Short Optical Pulse Source

Self-referenced electro-optic response measurement of dual-parallel Mach-Zehnder modulators employing single-tone level control and low-frequency bias swing

Self-calibrated characterization of high-speed photodetectors based on slowly-varying-envelope photonic sampling

Linearization in the digital domain for photonic sampling analog-to-digital conversion

Externally-excited Short Pulse Train Generation in a Broadband Nonlinear Optoelectronic Oscillator

Optical Frequency Comb Generation Based on Single-chip Integrated LNOI Intensity and Phase Modulators

 

Jingyang Mao | Engineering | Best Researcher Award

Dr. Jingyang Mao | Engineering | Best Researcher Award

Lecturer Shanghai Institute of Technology China

🧑‍🏫 Dr. Jingyang Mao is a dedicated lecturer at the School of Electrical and Electronic Engineering, Faculty of Intelligence Technology, Shanghai Institute of Technology. With a Ph.D. in Control Science and Engineering from the University of Shanghai for Science and Technology (2022), he specializes in cutting-edge research on networked control systems and cyber-physical systems. His academic journey also includes a visiting scholar tenure at Louisiana State University, USA (2019–2021). Dr. Mao’s work bridges theoretical innovations with practical applications in modern engineering systems.

Profile

Orcid

Education

🎓 Ph.D. in Control Science and Engineering (2022)

  • University of Shanghai for Science and Technology, Shanghai, China

✈️ Visiting Scholar (2019–2021)

  • Department of Electrical and Computer Engineering, Louisiana State University, USA

Experience

👨‍💻 Lecturer (2022–Present)

  • School of Electrical and Electronic Engineering, Shanghai Institute of Technology
  • Focus: Cyber-physical systems, networked control, and adaptive filtering

Research Interests

🔍 Dr. Mao’s research interests lie in the fields of:

  • Cyber-physical systems 🌐
  • Multi-rate systems ⏱️
  • Joint recursive filtering 🔄
  • Unknown input estimation ❓
  • Adaptive event-triggered mechanisms ⚙️

Awards

🏆 Award Nomination: Best Researcher Award
Recognized for groundbreaking contributions to the theory and application of cyber-physical systems.

Publications Top Notes:

📄 “Recursive filtering of multi-rate cyber-physical systems with unknown inputs under adaptive event-triggered mechanisms”

Event‐based reduced‐order H∞$H_{\infty }$ estimation for switched complex networks based on T‐S fuzzy model

Recursive filtering of multi-rate cyber-physical systems with unknown inputs under adaptive event-triggered mechanisms

Event-Based Distributed Adaptive Kalman Filtering With Unknown Covariance of Process Noises