Franco Concli | Engineering | Research Excellence Award

Research Excellence Award

Franco Concli

Free University of Bolzano, Italy

Franco Concli
Affiliation Free University of Bolzano
Country Italy
Scopus ID 57638101300
Documents 196
Citations 3,558
h-index 39
Subject Area Engineering
Event International PopularScientist Awards
ORCID 0000-0001-8415-8064

Franco Concli profile presents Franco Concli in the context of scholarly research and academic recognition associated with engineering. The supplied bibliometric information reports providing quantitative indicators of research output and citation impact. These figures should be interpreted in relation to the relevant database, its coverage and the date on which the records were retrieved. [1]

Abstract

This academic recognition profile summarizes the supplied bibliometric indicators for Franco Concli and places them within the broader context of research evaluation in engineering. The profile reports 196 documents, 3,558 citations and an h-index of 39. These measures provide complementary perspectives on publication activity and citation visibility but do not independently measure methodological rigor, originality, reproducibility or societal benefit. The article also presents selected bibliographic records supplied as supporting material.  [1]

Keywords

Franco Concli, Research Excellence Award, engineering research, bibliometrics, research productivity, citation analysis, h-index, scholarly publications, academic recognition, research evaluation, scientific impact, research integrity, international research collaboration.

Introduction

Academic recognition commonly draws on multiple forms of evidence, including publication records, citations, research contributions, methodological quality and relevance to a field. Bibliometric indicators can help describe a researcher’s scholarly visibility, although their interpretation depends on disciplinary practices, database coverage, co-authorship patterns and the period under consideration. No single metric provides a complete assessment of research quality. [2]

Research Profile

The supplied profile identifies Franco Concli as affiliated with the Free University of Bolzano in Italy and classifies the subject area as engineering. The Scopus author identifier provided for this profile is 57638101300. Scopus author records are used to group publications and citation information associated with an author identity; profiles may nevertheless require correction when names overlap, records are incomplete or publications have been incorrectly assigned. [1]

Research Contributions

The material supplied for this profile contains bibliographic records spanning several areas of applied science and medicine. These records illustrate topics such as polymer-based tissue expansion, treatment approaches for infantile hemangiomas, laser-based pain management, up-converting nanocrystals and photodynamic therapy for basal cell carcinoma. However, the contributor lists in the supplied records name other researchers, and the information provided does not establish that these articles belong to Franco Concli’s publication record.

Publications

The following selected bibliographic records were included in the supplied material. Their DOI links lead to the corresponding digital object identifier landing pages. The records are retained for traceability, but their attribution to Franco Concli has not been established by the information supplied. They should not be cited as his publications unless author-level verification confirms the association.

  1. Hydrogel tissue expanders for stomatology. Part I. Methacrylate-based polymers. Journal of Materials Science: Materials in Medicine (2017). The supplied record lists Hrib, J.; Sirc, J.; Lesny, P.; Hobzova, R.; Duskova-Smrckova, M.; Michalek, J.; and Smucler, R.
  2. Direct and indirect treatment of pain with lasers – Update 2016. Disease (2016). The supplied record lists Šmucler, R. and Jenčová, J. EID: 2-s2.0-84992323214. No DOI was supplied.
  3. Large scale preparation of up-converting YF₃:YbEr nanocrystals with various sizes by solvothermal syntheses using ionic liquid bmimCl. Journal of Fluorine Chemistry (2016). The supplied record lists Bartůněk, V.; Rak, J.; Pelánková, B.; Junková, J.; Mezlíková, M.; Král, V.; Kuchař, M.; Engstová, H.; Ježek, P.; and Šmucler, R.

Research Impact

The supplied profile values indicate a reported citation count of 3,558 and an h-index of 39. Citation counts describe how frequently indexed work has been cited by other publications in a particular database, while the h-index captures a balance between the number of publications and their citation distribution. These indicators can inform a broad description of research visibility but do not directly establish whether a study is methodologically sound, practically influential or attributable to a particular research contribution. [2]

Award Suitability

The Research Excellence Award is the recognition category associated with this article and the International PopularScientist Awards event. The supplied bibliometric figures provide potential quantitative context for a research evaluation, while the stated engineering subject area supplies the disciplinary context. A responsible award assessment should combine these indicators with verified publication attribution, evidence of individual contributions, research quality and the published eligibility and evaluation criteria of the awarding organization.

Conclusion

This profile records Franco Concli’s supplied affiliation, engineering subject area and bibliometric indicators in connection with the Research Excellence Award category of the International PopularScientist Awards. The reported figures of 196 documents, 3,558 citations and an h-index of 39 provide a quantitative snapshot, subject to confirmation against the relevant database.

References

1.Elsevier. (n.d.). Scopus author details: Franco Concli, Author ID 57638101300. Scopus. Author-profile URL supplied for verification; profile                      metrics in this article are reproduced from the user-provided data and were not independently retrieved.
   https://www.scopus.com/authid/detail.uri?authorId=57638101300

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=TT-Xn5oAAAAJ&hl=it

3.ORCID. (n.d.). ORCID record and researcher identifier. ORCID. The supplied ORCID link uses identifier 0000-0001-8415-8064; the differing                    identifier included in the original request should be checked against the researcher’s official record.
   https://orcid.org/0000-0001-8415-8064  

4.Wiley. (2013). Fractional carbon dioxide laser improves nodular basal cell carcinoma treatment with photodynamic therapy with methyl 5-                          aminolevulinate. Dermatologic Surgery. DOI landing page for the supplied bibliographic record.
   https://doi.org/10.1111/dsu.12242

5.International PopularScientist Awards. (n.d.). Official awards website. Event and award information should be checked against the                                  organizer’s published details.
  https://popularscientist.com/

 

Tawakalitu Odubiyi | Engineering | Best Researcher Award

Dr. Tawakalitu Odubiyi | Engineering | Best Researcher Award

Research Associate at INTI International University | Malaysia

Dr. Tawakalitu Odubiyi is a Teaching and Research Associate with over six years of international experience spanning Germany, Malaysia, the UK, Finland, South Africa, and Nigeria. She holds a PhD in Civil Engineering from Technische Universität Berlin and a Master’s in Construction Management from the University of Johannesburg. Her expertise lies in Quantity Surveying, Civil Engineering, and the application of Digital Twin and BIM technologies in the built environment.

Profile:

Academic Background

Dr. Odubiyi holds a PhD in Civil Engineering from Technische Universität Berlin, Germany, where her research focused on digital transformation in construction. She also earned a Master of Technology in Construction Management from the University of Johannesburg, South Africa. Her academic background reflects a strong foundation in both technical and managerial aspects of the built environment.

Professional Experience:

Dr. Odubiyi has gained diverse research and teaching experience through various academic and industrial positions. She is currently serving as an Independent Researcher at INTI International University in Malaysia, where she conducts empirical research and leads seminars on sustainable technologies. Previously, she worked as a Research Scientist at Technische Universität Berlin, contributing to projects on business models for Cloud BIM and Digital Twin solutions. Her industry experience includes roles as a BIM Consultant at Bentley Systems in London and a BIM Researcher at Trimble Inc. in Finland, where she developed strategic digital roadmaps and conducted case studies on cost estimation and contract administration. She also served as a Teaching Assistant at the University of Johannesburg and as a Mentor and Lecturer at TU Berlin, demonstrating a strong commitment to student support and academic leadership.

Research and Publications:

Dr. Odubiyi has authored 16 scholarly articles using a mix of qualitative, quantitative, and grounded theory approaches. She has actively presented her findings at international conferences and workshops. Her research focuses on digital transformation in construction, cost management innovation, and the role of BIM in contract and project administration.

Areas of Expertise:

Her core areas of expertise include Quantity Surveying, Construction Management, BIM integration, contract administration (FIDIC, NEC), and curriculum design. She is proficient in BIM tools such as Autodesk Revit, Navisworks, CostX, and Bentley iTwin. She is also experienced in research methodology, grant writing, and academic mentoring across cross-cultural and distance learning environments.

Technical and Professional Skills:

Dr. Odubiyi is skilled in Agile methodologies and tools including Salesforce CRM, Confluence, Jira, Kanban, and BPMN. She has applied these in both academic project management and industry collaborations.

Awards and Recognition:

Dr. Odubiyi has received several prestigious awards, including the Marie Curie Horizon Fellowship from the European Union (2020), the Global Excellence Scholarship from the University of Johannesburg (2019), and the National Research Fellow Bursary (2018). In 2023, she received Community Impact Recognition from the Young Quantity Surveyors of Nigeria for her contributions to the profession.

Citation:

Cited by
All: 141
Since 2020: 132

h-index
All: 8
Since 2020: 8

i10-index
All: 7
Since 2020: 7

Publication Top Notes:

  • Using neural network model to estimate the rental price of residential properties
    2019
    21 citations

  • Strengths, weaknesses, opportunities and threats of virtual team in Nigerian construction industry
    2016
    21 citations

  • Information and communication technology application challenges in the construction industry: A narrative review
    2019
    14 citations

  • A concise review of the evolution of information and communication technologies for engineering innovations
    2021
    13 citations

  • Impact of security on rental price of residential properties: evidence from South Africa
    2019
    13 citations

  • Barriers to implementing quality management system in the Industry 4.0 era
    2019
    12 citations

  • Strategies for building information modelling adoption in the South African construction industry
    2019
    12 citations

  • Impact of Green features on rental value of residential properties: evidence from South Africa
    2024
    8 citations

  • Assessing South African construction worker’s knowledge of modern technologies for effective material management
    2021
    6 citations

  • Evaluation of the use of modern technologies for effective material management in South African construction industry
    2019
    5 citations

  • Bridging the gap between academic and practice Quantity Surveying in Nigerian construction industry
    2019
    5 citations

  • Roles and effects of utilizing recent technologies on material management for construction work in South Africa
    2019
    4 citations

  • Forecasting rental values of residential properties: a neural network model approach
    2020
    3 citations

  • A model validation and predicting the rental values of residential properties using logistic regression model
    2020
    2 citations

  • Information and Communication Technologies for construction services in South Africa: A PROCSA Scope
    2021
    1 citation

  • An Evaluation of Information and Communication Technology Application in South African Construction Industry
    2019
    1 citation

You Zhang | Engineering | Best Researcher Award

Mr. You Zhang | Engineering | Best Researcher Award

University of Rochester, United States

Dr. You (Neil) Zhang is a Ph.D. candidate in Electrical and Computer Engineering at the University of Rochester, specializing in machine learning for speech, acoustics, and audio signal processing. His research focuses on spatial audio (HRTF personalization), speech anti-spoofing, singing voice deepfake detection, and audio-visual learning. He has held research roles at Dolby, Meta, Microsoft, Tencent, and Bytedance, contributing significantly to areas like perceptual HRTF modeling and audio-visual deepfake detection.

Profile:

🎓 Education:

  • Ph.D. in Electrical & Computer Engineering (Expected 2025)
    University of Rochester

  • M.S., University of Rochester

  • B.Eng., University of Electronic Science & Technology of China

  • Exchange Program, UC Berkeley

🧠 Research Interests:

  • Spatial Audio & HRTF Personalization 🎧

  • Speech Deepfake Detection & Audio Security 🔐

  • Multimodal Learning: Audio-Visual & Emotional Speech Synthesis 🎥🗣️

🏆 Honors & Fellowships:

  • IEEE SPS Scholarship (2024)

  • NIJ Graduate Research Fellowship (2023)

  • ICASSP Rising Star in Signal Processing (2023)

  • Open Scholarship Award @ UR (2025)

🧪 Research & Industry Experience:

  • Dolby Labs 🎶 – Sr. Researcher, Multimodal Spatial Audio

  • Meta Reality Labs 🧠 – HRTF Perceptual Learning

  • Microsoft, Tencent, ByteDance, IngenID 💼 – AI R&D Internships

  • Audio Information Research Lab, UR 🎙️ – Deepfake Detection, AV Speech, HRTF Neural Fields

📚 Selected Publications:

  • IEEE T-MM, SPL, ICASSP, Interspeech, NAACL

  • Co-organizer of SVDD Challenge at SLT 2024 & MIREX 2024

  • Contributor to Handbook of Biometric Anti-spoofing (Springer)

🎤 Talks & Tutorials:

  • Invited speaker at CMU, NII Japan, ISCA SPSC

  • Tutorials @ ASA, ICME, AES (Topics: HRTF, Deepfakes, ML for Acoustics)

🎓 Teaching & Mentorship:

  • TA for Machine Learning, Audio Signal Processing, Random Processes

  • Mentored 10+ undergrad and graduate students in UR, Tsinghua, UESTC

💼 Professional Service:

  • Reviewer for IEEE TASLP, TPAMI, ICASSP, Interspeech, CVPR Workshops

  • Member: IEEE, ASA, ACM, AES

  • DEI Committee @ UR ECE | Organizer of AR/VR Events

💻 Skills:

  • Programming: Python, MATLAB, C, Java

  • Tools: Git, Linux, PyTorch, Slurm

  • Languages: English 🇺🇸, Mandarin 🇨🇳

🏃 Hobbies & More:

  • Half-Marathon Finisher 🏅

  • Loves stand-up paddleboarding, travel, badminton 🌊✈️🏸

Google Scholar Citation Metrics:

  • Citations: 751 (All time) | 751 (Since 2020)

  • h-index: 12 (All time) | 12 (Since 2020)

  • i10-index: 14 (All time) | 14 (Since 2020)

Publication Top Notes:

  1. One-class Learning Towards Synthetic Voice Spoofing Detection
    Y. Zhang, F. Jiang, Z. Duan
    IEEE Signal Processing Letters, vol. 28, pp. 937–941, 2021.

  2. Speech Driven Talking Face Generation from a Single Image and an Emotion Condition
    S.E. Eskimez, Y. Zhang, Z. Duan
    IEEE Transactions on Multimedia, vol. 24, pp. 3480–3490, 2021.

  3. UR Channel-Robust Synthetic Speech Detection System for ASVspoof 2021
    X. Chen, Y. Zhang*, G. Zhu*, Z. Duan
    ASVspoof 2021 Workshop, 2021.

  4. SingFake: Singing Voice Deepfake Detection
    Y. Zang, Y. Zhang*, M. Heydari, Z. Duan
    IEEE ICASSP, 2024.

  5. An Empirical Study on Channel Effects for Synthetic Voice Spoofing Countermeasure Systems
    Y. Zhang, G. Zhu, F. Jiang, Z. Duan
    Interspeech, pp. 4309–4313, 2021.

  6. SAMO: Speaker Attractor Multi-Center One-Class Learning for Voice Anti-Spoofing
    S. Ding, Y. Zhang, Z. Duan
    IEEE ICASSP, 2023.

  7. A Probabilistic Fusion Framework for Spoofing Aware Speaker Verification
    Y. Zhang, G. Zhu, Z. Duan
    Odyssey: The Speaker and Language Recognition Workshop, pp. 77–84, 2022.

  8. Global HRTF Personalization Using Anthropometric Measures
    Y. Wang, Y. Zhang, Z. Duan, M. Bocko
    Audio Engineering Society (AES) 150th Convention, 2021.

  9. Rethinking Audio-Visual Synchronization for Active Speaker Detection
    A. Wuerkaixi, Y. Zhang, Z. Duan, C. Zhang
    IEEE MLSP, 2022.

  10. CtrSVDD: A Benchmark Dataset and Baseline Analysis for Controlled Singing Voice Deepfake Detection
    Y. Zang, J. Shi, Y. Zhang, et al.
    Interspeech, pp. 4783–4787, 2024.

  11. VERSA: A Versatile Evaluation Toolkit for Speech, Audio, and Music
    J. Shi, H. Shim, J. Tian, Y. Zhang, et al.
    NAACL (Demo Track), 2025.

  12. HRTF Field: Unifying Measured HRTF Magnitude Representation with Neural Fields
    Y. Zhang, Y. Wang, Z. Duan
    IEEE ICASSP, 2023.

  13. SVDD 2024: The Inaugural Singing Voice Deepfake Detection Challenge
    Y. Zhang, Y. Zang, J. Shi, R. Yamamoto, T. Toda, Z. Duan
    IEEE SLT, pp. 782–787, 2024.

  14. DyViSE: Dynamic Vision-Guided Speaker Embedding for Audio-Visual Speaker Diarization
    A. Wuerkaixi, K. Yan, Y. Zhang, Z. Duan, C. Zhang
    IEEE MMSP, 2022.

  15. Predicting Global Head-Related Transfer Functions from Scanned Head Geometry Using Deep Learning and Compact Representations
    Y. Wang, Y. Zhang, Z. Duan, M. Bocko
    arXiv preprint, arXiv:2207.14352, 2022.

  16. Learning Arousal-Valence Representation from Categorical Emotion Labels of Speech
    E. Zhou, Y. Zhang, Z. Duan
    IEEE ICASSP, 2024.

  17. SVDD Challenge 2024: A Singing Voice Deepfake Detection Challenge Evaluation Plan
    Y. Zhang, Y. Zang, J. Shi, et al.
    arXiv preprint, arXiv:2405.05244, 2024.

  18. ASVspoof 5: Design, Collection and Validation of Resources for Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech
    X. Wang, H. Delgado, Y. Zhang, et al.
    Computer Speech & Language, 2025.

  19. Emotional Dimension Control in Language Model-Based Text-to-Speech: Spanning a Broad Spectrum of Human Emotions
    K. Zhou, Y. Zhang, S. Zhao, et al.
    arXiv preprint, arXiv:2409.16681, 2024.

  20. Mitigating Cross-Database Differences for Learning Unified HRTF Representation
    Y. Wen, Y. Zhang, Z. Duan
    IEEE WASPAA, 2023.