Hussam Noor | Engineering | Best Academic Researcher Award

Best Academic Researcher Award

Hussam Noor
Taibah University, Saudi Arabia

Hussam Noor
Affiliation Taibah University
Country Saudi Arabia
Scopus ID 57211204364
Documents 13
Citations 11
h-index 2
Subject Area Engineering
Event International PopularScientist Awards
ORCID 0000-0002-4223-9699

Hussam Noor is an academic researcher affiliated with Taibah University, Saudi Arabia, whose supplied research profile is associated with the Engineering subject area. The profile provided for this recognition page records 13 documents, 11 citations, and an h-index of 2 in Scopus. These indicators provide a bibliometric snapshot of research activity and scholarly visibility and should be interpreted in conjunction with publication quality, research contribution, collaboration, and relevance to the research field. [1]

Abstract

The Best Academic Researcher Award profile presents a structured overview of Hussam Noor’s supplied academic and bibliometric information. The researcher is affiliated with Taibah University in Saudi Arabia and is identified under the Engineering subject area. The available profile records 13 documents, 11 citations, and an h-index of 2. [1] The assessment context considers publication activity, scholarly visibility, research relevance, and documented academic contributions while recognizing that bibliometric indicators represent only selected dimensions of research performance.

Keywords

Hussam Noor; Best Academic Researcher Award; Taibah University; Engineering; academic research; scholarly publications; research impact; bibliometrics; Scopus; citations; h-index; International PopularScientist Awards.

Introduction

Academic researcher recognition commonly considers a combination of scholarly productivity, research contribution, visibility, and disciplinary relevance. Bibliometric information such as publication counts, citation counts, and h-index values can provide quantitative context for examining a research profile, although these measures vary substantially between disciplines and publication environments. [2]

Research Profile

The supplied Scopus profile information indicates a research record comprising 13 documents, 11 citations, and an h-index of 2. [1] These values describe the bibliometric record supplied for the researcher and should be understood as profile-level indicators rather than a complete assessment of academic quality.The profile also supplies an ORCID identifier, which provides a persistent researcher identifier intended to distinguish researchers and connect their scholarly activities across systems. [3]

Research Contributions

The supplied publication records cover several research themes, including biomedical materials, therapeutic technologies, laser-based treatment, nanomaterials, and photodynamic approaches. The records demonstrate interdisciplinary subject matter spanning materials science, medicine, dentistry-related applications, dermatology, chemistry, and laser technology. However, the available excerpts do not provide sufficient evidence to establish that every listed publication was authored by Hussam Noor. Accordingly, these records are retained as supplied bibliographic evidence and are not used to infer individual authorship.

Publications

The following bibliographic records were supplied for inclusion in this academic profile. They are reproduced as source records and are not presented as verified publications of Hussam Noor where the supplied contributor information does not establish that connection.“`

    1. Infantile hemangiomas. Current treatment procedures | Infantilní hemangiomas. Současné tělečné protředky.Czech-Slovak Pediatrics, 2017. Journal article.EID: 2-s2.0-85027991512Contributors: Malis, J.; Stara, V.; Blahova, K.; Bučkova, H.; Faberova, R.; Šterba, J.; Klovrzova, S.; Kynčl, M.; Černy, M.; Hrdlička, R. et al.Source: Roman Smucler via Scopus – Elsevier.
    2. Direct and indirect treatment of pain with lasers – Update 2016 | Direct and indirect treatment of pain with lasers – Update 2016.Disease, 2016. Journal article.EID: 2-s2.0-84992323214Contributors: Šmucler, R.; Jenčová, J.Source: Roman Smucler via Scopus – Elsevier.
    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. Journal article.

Research Impact

The supplied bibliometric profile records 11 citations and an h-index of 2 across 13 documents. [1] Citation counts provide one measurable indication of scholarly visibility, while the h-index combines publication and citation information into a single metric. Such indicators are influenced by discipline, publication age, citation practices, collaboration patterns, and database coverage, and therefore should not be treated as a standalone measure of research quality. [2][4] [7] [8]

Award Suitability

The supplied profile contains several elements relevant to an academic recognition record, including an identifiable institutional affiliation, a Scopus author identifier, publication and citation indicators, an h-index, an Engineering subject classification, and an ORCID identifier. [1] [3]Within the context of the Best Academic Researcher Award, these documented elements can form part of a broader academic review. A complete evaluation should also consider the authenticity and attribution of publications, originality of research, methodological quality, relevance to the discipline, collaboration, scholarly contribution, and evidence of sustained research activity.

Conclusion

Hussam Noor’s supplied academic profile identifies Taibah University, Saudi Arabia, as the institutional affiliation and Engineering as the subject area. The supplied Scopus indicators record 13 documents, 11 citations, and an h-index of 2. [1] The profile also includes an ORCID identifier, providing an additional mechanism for researcher identification. [3]

References

    1. Elsevier. (n.d.). Scopus author details: Hussam Noor, Author ID 57211204364. Scopus.
      https://www.scopus.com/authid/detail.uri?authorId=57211204364
    2. Hirsch, J. E. (2005). An index to quantify an individual’s scientific research output. Proceedings of the National Academy of Sciences, 102(46), 16569–16572.
      https://doi.org/10.1073/pnas.0507655102
    3. ORCID. (n.d.). ORCID record: 0000-0002-4223-9699.
      https://orcid.org/0000-0002-4223-9699
    4. 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.
      https://doi.org/10.1007/s10856-016-5818-y
    5. Bartůněk, V., Rak, J., Pelánková, B., Junková, J., Mezlíková, M., Král, V., Kuchař, M., Engstová, H., Ježek, P., & Šmucler, R. (2016). Large scale preparation of up-converting YF3:YbEr nanocrystals with various sizes by solvothermal syntheses using ionic liquid bmimCl. Journal of Fluorine Chemistry.
      https://doi.org/10.1016/j.jfluchem.2016.05.015
    6. Lippert, J., Šmucler, R., & Vlk, M. (2013). Fractional carbon dioxide laser improves nodular basal cell carcinoma treatment with photodynamic therapy with methyl 5-aminolevulinate. Dermatologic Surgery.
      https://doi.org/10.1111/dsu.12242

 

Young Won Kim | Engineering | Research Excellence Award

Dr. Young Won Kim | Engineering | Research Excellence Award

Senior Researcher | Korea Institute of Industrial Technology | South Korea

Dr. Young Won Kim is a researcher specializing in advanced manufacturing, smart materials, and energy harvesting technologies, with strong expertise in additive manufacturing, digital twin systems, and nano/micro-fabrication. His research focuses on triboelectric and piezoelectric nanogenerators, sensor development, and AI-driven predictive modeling for smart manufacturing applications. He has contributed extensively to high-impact international journals as both lead and corresponding author, particularly in nanomaterials, flexible electronics, and biomedical scaffolds. With 68 publications, 1,085 citations, and an h-index of 17, his work reflects strong academic impact. His professional experience spans academic and industrial research environments, integrating machine learning, materials science, and mechanical engineering to develop innovative systems for energy, healthcare, and intelligent industrial technologies.

Citation Metrics (Scopus)

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Citations
1085

Documents
68

h-index
17

🟦 Citations    🟥 Documents    🟩 h-index


View Scopus Profile      View Orcid Profile

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Genetic Insights into Avian Influenza Resistance in Jeju Island Chickens

– Journal of Animal Science and Technology, 2025

Fariba Shokoohi | Construction Engineering | Best Researcher Award

Ms. Fariba Shokoohi | Construction Engineering | Best Researcher Award

SR.C Islamic Azad University, Tehran | Iran

Ms. Fariba Shokoohi is an accomplished civil engineer and researcher specializing in Construction Engineering and Management, with extensive expertise in sustainable development, lean construction, and project management systems. Her professional experience spans engineering design, supervision, project management, and strategic planning in large-scale infrastructure and building projects. She has held senior positions in several engineering and construction firms, contributing to the design and management of complex urban development, industrial, and institutional projects. Her research integrates Fuzzy Multi Criteria Decision-Making models (DEMATEL, AHP, ANP) with Building Information Modeling (BIM) tools such as DesignBuilder and Revit to optimize sustainability performance and operational efficiency in the construction sector. Dr. Shokoohi’s scholarly work focuses on the intersection of lean thinking, environmental sustainability, and project performance evaluation, leading to publications in international journals and conferences. She is skilled in applying PMBOK standards, SERVQUAL and Kano models, and quality management systems including ISO and SAPCO standards. In addition to her technical expertise, she actively contributes to the engineering community as a Senior Member of the Tehran Construction Engineering Organization and member of professional bodies such as the Iran Concrete Research Center (METEB) and the Iranian Society of Civil Engineers (ISCE). Her ongoing doctoral research explores innovative frameworks for integrating sustainability and lean principles into construction project management, aiming to enhance industry practices and policy frameworks.

Profile: Google Scholar

Featured Publication

Shokoohi, F., & Ravanshadnia, M. (2024). Evaluating the impact of green roofs on reducing carbon emissions and improving environmental sustainability in the construction industry (Case study of a building in Tehran using Design Builder software). In Proceedings of the 8th International Conference on Civil Engineering, Architecture and Sustainable Green City.

Shokoohi, F. (2023). Application of the focus group method in the extended fuzzy DEMET technique (Integrating effective factors in lean and sustainable construction). Statistical Thought, 27(2), 105–120.

Rabieifar, H., Shokoohi, F., & Ashtiani, Z. (2020). The use of bacteria in concrete repair and its effect on the properties of self-healing concrete (Review). In Proceedings of the 23rd Annual National Conference on Concrete and Earthquakes. Concrete Research Center (CRC), 15.

Farokhzadeh, F., & Shokoohi, F. (2020). Integrating lean thinking and sustainable development in the field of health, safety and environment (HSE) management in the construction. Research in Defense Maintenance Engineering, 3(2), 58–74.

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.