Omar Alqaisi | Oncology | Best Research Article Award

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Mr. Omar Alqaisi | Oncology | Best Research Article Award

Al Zaytoonah University, Jordan

Mr. Omar M. Al-Qaisi is an experienced Clinical Nursing Instructor and Registered Nurse based in Amman, Jordan. With over five years of professional experience, he has worked extensively in emergency, ICU, and medical-surgical settings at Queen Alia Hospital under the Royal Medical Services. Omar also serves as a Clinical Instructor at Al Zaytoona University, where he has significantly contributed to nursing education through innovative teaching, simulation-based learning, and student mentorship.

Profile:

💼 Work Experience:

  • Emergency Room RN – Queen Alia Hospital: Skilled in de-escalation, team training, and emergency protocols.

  • Clinical Instructor – Al Zaytoona University:

    • Foundation of Nursing

    • Physical Assessment
      Designed simulation-based training, mentored instructors, and integrated real-world case studies into academic teaching.

  • Medical ICU & Surgical RN – Queen Alia Hospital: Assisted in advanced procedures, provided acute care during critical situations.

🎓 Education:

  • Master’s in Clinical Assessment (Adults) – Al-Zaytoona University 🏅 Excellence

  • Bachelor’s in Nursing (RN) – Al-Zaytoona University 🎓 Very Good

📚 Research Contribution:

  • 📝 Published Article:
    “Quality of Postoperative Pain Management in Orthopedic Patients and Its Impact on Sleep Quality and Patient Satisfaction: An Integrative Review”
    📖 Read Article

🏅 Certifications & Courses:

  • BLS & ACLS ✅

  • Pre-Hospital Trauma Life Support (PHTLS) 🚑

  • Communication & Guest Relations 🗣️

🧩 Core Competencies:

  • Clinical Education & Academic Advising 🎓

  • Emergency & Acute Care 🚨

  • Patient-Centered Care & Assessment 🩺

  • Health Promotion & Pain Management 💊

  • Compliance (JCI, HIPAA) 📋

🧠 Soft Skills:

  • Critical Thinking & Decision-Making 🧠

  • Adaptability in High-Pressure Situations ⚡

  • Interdisciplinary Collaboration 🤝

  • Medical Documentation Precision 📄

Publication:

Oncology Nurses’ Attitudes, Knowledge, and Practices in Providing Sexuality Care to Cancer Patients: A Scoping Review
Published in Current Oncology, June 2025
DOI: 10.3390/curroncol32060337
Authors: Omar Alqaisi, Maha Subih, Kurian Joseph, Edward Yu, Patricia Tai
Publisher: Multidisciplinary Digital Publishing Institute (MDPI)

 

 

You Zhang | Engineering | Best Researcher Award

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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.

 

Samira Binte Saif | Landscape | Excellence in Research Award

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Ms. Samira Binte Saif | Landscape | Excellence in Research Award

Banker (Senior Officer) at University of Dhaka, Bangladesh

Ms. Samira Binte Saif is a Senior Officer at Islami Bank Bangladesh PLC and an accomplished interdisciplinary researcher with expertise in economics, statistics, marketing, and finance. She holds multiple postgraduate degrees, including a Master’s in Entrepreneurship Economics from the University of Dhaka, an MBA in International Marketing from Wrexham Glyndwr University (UK), and an MSc in Statistics. Her academic profile is further enriched by numerous postgraduate diplomas in areas such as Islamic finance, computer science, supply chain management, and human resource development.

Profile:

🎓 Academic Qualifications:

  • MSc in Statistics, Biostatistics & Informatics – University of Dhaka (2008)

  • MBA in International Marketing – Wrexham Glyndwr University, UK (2021)

  • Master’s in Entrepreneurship Economics – University of Dhaka (2022)

  • BBA in HRM – Royal University of Dhaka (2019)

  • BSc in Statistics – University of Dhaka (2006)

📜 Professional & Postgraduate Diplomas:

  • ACCA Diploma (UK)

  • PGDs in Islamic Finance, Risk & Compliance, HRM, Supply Chain, Computer Science, and more

  • Diplomas from IBTRA and Institute of Bankers Bangladesh

🏆 Awards & Recognitions (2024–2025):

  • 🥇 Research Excellence Award (IACRD) – 2024 & 2025

  • 🌟 Best Researcher in Economics, Entrepreneurship, MIS – Asia Research Awards

  • 🧠 Cross-Disciplinary Innovation Award – World Top Scientists

  • 👩‍🔬 Women Researcher Award – Science Father

  • 🌍 Environmental Scientists Award – Science Father

  • 🏅 Best Scholar Award – International Research on Civil & Environmental Engineering

📚 Research & Publications:

  • 16+ peer-reviewed international publications in areas such as:

    • Technology Acceptance Model (TAM), UTAUT

    • Digital Economy, AI in Banking

    • Trade & SME Development

    • Environmental & Social Sustainability

    • m-Health, CRM, Ride-Sharing Platforms

🖋️ Editorial & Reviewer Roles:

  • Reviewer: IGI Global, Academia.edu

  • Editorial Board Member: DK International Research Foundation

👩‍🏫 Teaching Role:

  • Senior Instructor – Academy of Business Professionals (2025–present)

🌐 Research Impact:

  • Strong contributions to Bangladesh’s development sectors through applied and interdisciplinary research

  • Bridging the gap between academia, banking, and sustainable development

Publication Top Notes:

  • Growth, Development and Selected Social Sustainability Challenges Facing the Bangladesh Export Garment Industry
    Businesses, MDPI, 2025-03-20
    DOI: 10.3390/businesses5010015
    Contributors: Samira Binte Saif, Anisul M. Islam

  • Analysis the Role of Artificial Intelligence in the Customer Care Service of Islami Bank Bangladesh PLC Using TAM
    Indo American Journal of Multidisciplinary Research and Review (IAJMRR), 2024-11-05
    Contributor: Samira Binte Saif

  • Impact of Tannery Waste on Social-Ecological Balance and Sustainable Development of Bangladesh
    Indo American Journal of Multidisciplinary Research and Review (IAJMRR), 2024-11-05
    Contributor: Samira Binte Saif

  • Approach/Mindset of Students Towards Online Study in Bangladesh Educational Institute: An Application of Technology Acceptance Model
    Book Chapter in Encyclopedia of Information Science and Technology, Sixth Edition, 2024-07-01
    DOI: 10.4018/978-1-6684-7366-5.ch093
    Contributor: Samira Binte Saif

  • Present Status of the Blue, Green and Digital Economy of Bangladesh: Challenges & Prospects
    International Journal of Trade and Commerce-IIARTC, 2024-06-29
    Contributor: Samira Binte Saif

  • Prospect, Barriers and Export Performances of Small Medium Enterprise of Bangladesh
    International Journal of Trade and Commerce-IIARTC, 2023-06-30
    Contributor: Samira Binte Saif

  • A Collaborative Study of Foreign Trade and Economic Performance of India With Southeast Asian Countries
    Book Chapter in Handbook of Research on Emerging Business Models and the New World Economic Order, 2022
    DOI: 10.4018/978-1-7998-5774-7.ch014
    Contributor: Samira Binte Saif

  • International Organization’s Humanitarian Coordination and Activities in the Sector of Micro, Medium and Small Enterprises in Bangladesh
    International Journal of Trade and Commerce-IIARTC, 2022-06-29
    Contributor: Samira Binte Saif

  • Technology-Based Entrepreneurship and Its Prospect in Bangladesh
    International Journal of Trade and Commerce-IIARTC, 2021-06-24
    Contributor: Samira Binte Saif

 

Theodoros Karakasidis | Materials Science | Best Academic Researcher Award

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Prof. Theodoros Karakasidis | Materials Science | Best Academic Researcher Award

Professor at University of Thessaly, Greece

Prof. Theodoros Karakasidis is a Professor of Applied Physics at the Department of Physics, University of Thessaly, Lamia, Greece. He serves as the Director of the Condensed Matter Physics Laboratory and the Graduate Program in “Applied Physics”. He holds a BSc in Physics from Aristotle University of Thessaloniki (1989), an MSc and PhD in Physics from University Pierre et Marie Curie (Paris 6), and a Master’s in Education from the Hellenic Open University.

Profile:

🎓 Education:

  • BSc in Physics, Aristotle University of Thessaloniki 🇬🇷 (1989, GPA 9.51/10)

  • MSc & PhD in Physics, University Pierre et Marie Curie – Paris VI 🇫🇷

  • Master’s in Education, Hellenic Open University (2009)

🧪 Research Interests:

  • Computational Materials Science & Nanotechnology 🧬

  • Machine Learning & Complex Systems 🔁

  • Physics Education & ICT in Teaching 🎓

  • Nonlinear Dynamics & Time Series Analysis ⏳

🎓 Academic Roles:

  • Professor of Applied Physics, Univ. of Thessaly

  • Director, Condensed Matter Physics Lab 🔬

  • Director, MSc Program “Applied Physics” 📘

  • Chairman, Dept. of Physics (2022–present)

  • Past Deputy Chair, Dept. of Civil Engineering

📚 Teaching & Supervision:

  • 25+ years teaching undergraduate & graduate courses

  • Supervisor of 20+ MSc, 8+ PhD, and 2 postdoctoral researchers

  • Courses include Electromagnetism, Condensed Matter Physics, and Computational Science

🔬 Projects & Research Leadership:

  • Principal Investigator in national and EU-funded projects (EUROFUSION, HFRI, Horizon)

  • Key focus: digital materials design, particle-based modeling, smart water purification, and magnetic nanofluidics

🌐 International Collaborations:

  • Collaborations with Strathclyde (UK), NTNU (Norway), Nazarbayev University (Kazakhstan), ICAMS (Germany)

  • Erasmus+, COST Actions, Marie Curie Evaluator

📖 Editorial & Peer Review:

  • Reviewer for top journals: Phys. Rev. E, Scientific Reports, Nanotechnology, MRS Comm.

  • Guest Editor: Desalination and Water Treatment, Computational Materials Science, Environmental Processes

🧾 Distinctions:

  • Top-cited and featured articles in journals like Journal of Theoretical Biology

  • Best Paper & Young Researcher Award at ICDDNBEA 2021 🏆

  • Popular science book author: “Roulis the Science Cat” 🐱📘

💻 Technical Expertise:

  • Expert in FORTRAN, C, Python, Parallel Computing (MPI), MATLAB

  • Skilled in academic platforms (Blackboard, Moodle, E-Class)

📣 Memberships & Outreach:

  • Member of APS, EPS, MRS, IEEE, American Nano Society

  • Promoter of science in schools and public outreach events 🎤

  • Organized student teams for science competitions (e.g., FameLab)

Citation Metrics (Google Scholar):

  • Total Citations: 3,498

  • Citations since 2020: 1,707

  • h-index: 33

  • h-index since 2020: 22

  • i10-index: 76

  • i10-index since 2020: 48

Publication Top Notes:

  1. Use of fuzzy clustering technique and matrices to classify amino acids and its impact to Chou’s pseudo amino acid composition
    D.N. Georgiou, T.E. Karakasidis, J.J. Nieto, A. Torres
    Journal of Theoretical Biology, 257(1), 17–26 (2009). [Cited by: 229]

  2. Transport properties of liquid argon in krypton nanochannels: anisotropy and non-homogeneity introduced by the solid walls
    F. Sofos, T. Karakasidis, A. Liakopoulos
    International Journal of Heat and Mass Transfer, 52(3–4), 735–743 (2009). [Cited by: 157]

  3. Artificial intelligence in physical sciences: Symbolic regression trends and perspectives
    D. Angelis, F. Sofos, T.E. Karakasidis
    Archives of Computational Methods in Engineering, 30(6), 3845–3865 (2023). [Cited by: 156]

  4. Multiscale modeling in nanomaterials science
    T.E. Karakasidis, C.A. Charitidis
    Materials Science and Engineering: C, 27(5–8), 1082–1089 (2007). [Cited by: 138]

  5. Effects of wall roughness on flow in nanochannels
    F.D. Sofos, T.E. Karakasidis, A. Liakopoulos
    Physical Review E, 79(2), 026305 (2009). [Cited by: 127]

  6. Heavy Metal Adsorption Using Magnetic Nanoparticles for Water Purification: A Critical Review
    C. Liosis, A. Papadopoulou, E. Karvelas, T.E. Karakasidis, I.E. Sarris
    Materials, 14(24), 7500 (2021). [Cited by: 99]

  7. The application of complex network time series analysis in turbulent heated jets
    A.K. Charakopoulos, T.E. Karakasidis, P.N. Papanicolaou, A. Liakopoulos
    Chaos: An Interdisciplinary Journal of Nonlinear Science, 24(2), 024408 (2014). [Cited by: 99]

  8. Surface wettability effects on flow in rough wall nanochannels
    F. Sofos, T.E. Karakasidis, A. Liakopoulos
    Microfluidics and Nanofluidics, 12, 25–31 (2012). [Cited by: 78]

  9. Effect of wall roughness on shear viscosity and diffusion in nanochannels
    F. Sofos, T.E. Karakasidis, A. Liakopoulos
    International Journal of Heat and Mass Transfer, 53(19–20), 3839–3846 (2010). [Cited by: 78]

  10. Grain-boundary diffusion of cation vacancies in nickel oxide: a molecular-dynamics study
    T. Karakasidis, M. Meyer
    Physical Review B, 55(20), 13853 (1997). [Cited by: 75]

  11. A comment on a rigid-ion potential for UO₂
    T. Karakasidis, P.J.D. Lindan
    Journal of Physics: Condensed Matter, 6(15), 2965 (1994). [Cited by: 68]

  12. On the magnetic aggregation of Fe₃O₄ nanoparticles
    E.G. Karvelas, N.K. Lampropoulos, L.T. Benos, T. Karakasidis, I.E. Sarris
    Computer Methods and Programs in Biomedicine, 198, 105778 (2021). [Cited by: 65]

  13. Friction factor in nanochannel flows
    A. Liakopoulos, F. Sofos, T.E. Karakasidis
    Microfluidics and Nanofluidics, 20, 1–7 (2016). [Cited by: 64]

  14. A short survey on genetic sequences, Chou’s pseudo amino acid composition and its combination with fuzzy set theory
    D.N. Georgiou, T.E. Karakasidis, A.C. Megaritis
    The Open Bioinformatics Journal, 7(1) (2013). [Cited by: 62]

  15. Unified description of size effects of transport properties of liquids flowing in nanochannels
    A.E. Giannakopoulos, F. Sofos, T.E. Karakasidis, A. Liakopoulos
    International Journal of Heat and Mass Transfer (2012). [Cited by: 60]

  16. Non-equilibrium molecular dynamics investigation of parameters affecting planar nanochannel flows
    F. Sofos, T.E. Karakasidis, A. Liakopoulos
    Journal of Contemporary Engineering Science, 2, 283–298 (2009). [Cited by: 59]

  17. Micromixing efficiency of particles in heavy metal removal processes under various inlet conditions
    E. Karvelas, C. Liosis, L. Benos, T. Karakasidis, I. Sarris
    Water, 11(6), 1135 (2019). [Cited by: 55]

  18. Current trends in fluid research in the era of artificial intelligence: A review
    F. Sofos, C. Stavrogiannis, K.K. Exarchou-Kouveli, D. Akabua, G. Charilas, …
    Fluids, 7(3), 116 (2022). [Cited by: 51]

  19. Dissipative particle dynamics investigation of parameters affecting planar nanochannel flows
    D. Kasiteropoulou, T.E. Karakasidis, A. Liakopoulos
    Materials Science and Engineering: B, 176(19), 1574–1579 (2011). [Cited by: 50]

  20. On perturbations of the Mandelbrot map
    J. Argyris, I. Andreadis, T.E. Karakasidis
    Chaos, Solitons & Fractals, 11(7), 1131–1136 (2000). [Cited by: 50]

 

Claudio Pérez | Aerobiologia | Best Researcher Award

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Dr. Claudio Pérez | Aerobiologia | Best Researcher Award

Departamento de Ciencias de la Atmósfera y los Océanos Facultad de Ciencias Exactas y Naturales Universidad de Buenos Aires,  Argentina

Claudio Fabián Pérez is an Argentine biologist and atmospheric scientist specializing in aerobiology, palynology, and micrometeorology. He currently serves as an Independent Researcher at CONICET and as Jefe de Trabajos Prácticos at the Department of Atmospheric and Ocean Sciences, Faculty of Exact and Natural Sciences, University of Buenos Aires (UBA), where he has been teaching since 2005. His research focuses on airborne pollen transport, CO₂ and water fluxes, and the environmental impacts of bioaerosols. He has led and participated in several national R&D projects, including studies on Yungas forest pollen emissions and atmospheric gluten particles. Pérez has mentored students and researchers in atmospheric sciences and contributes to developing early-warning systems for airborne biological particles with potential health and ecological impacts.

Profile:

🎓 Academic & Research Career:

Dr. Claudio Fabián Pérez is a professor at the University of Buenos Aires (UBA), Faculty of Exact and Natural Sciences, Department of Atmospheric and Ocean Sciences. Since 2005, he has specialized in aerobiology, palynology, and atmospheric transport of biological particles.

🔬 Research Expertise:

  • 🌿 Aerobiology & Pollen Transport

  • 🍃 Palynology & Fungal Spores

  • 🌍 Environmental Monitoring & CO₂ Flux

  • 🌾 Agrometeorology

  • 🧪 Atmospheric Contamination Detection

His research bridges biology and atmospheric sciences, focusing on how pollen and spores travel through the air and their impact on ecosystems, health, and climate models.

🏢 Institutional Roles:

  • Independent Researcher at CONICET (2021–present)

  • Former Adjunct Researcher at CONICET (2010–2021)

  • Head of Practical Works at UBA (since 2016)

🧑‍🏫 Mentorship & Training:

He has directed student theses and mentored research fellows in atmospheric and environmental sciences, contributing significantly to human resource development in science and technology.

🌱 Key Projects:

  1. Yungas Forest Propagule Study (2023–2024)
    Focus: Emission & atmospheric transport of biological particles from native forests.
    Lead Institution: Universidad Nacional de Jujuy.

  2. Detection of Gluten Particles in Air (2020–2022)
    Focus: Airborne gluten monitoring for celiac disease risk near flour mills.
    Field: Environmental contamination & public health.

Citation Metrics Summary:

  • Total Citations: 377

  • Citing Documents: 299

  • Total Publications (Documents): 29

  • h-index: 14

Publication Top Notes:

Kuljeet Singh | AI in Healthcare | Young Researcher Award

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Mr. Kuljeet Singh | AI in Healthcare | Young Researcher Award

Assistant Professor at Christ University, Delhi NCR, India

Dr. Kuljeet Singh (Ph.D. Scholar, M.Tech., MCA) is an academician and researcher in the field of Computer Science, currently serving as an Assistant Professor at the Department of Computer Science, CHRIST (Deemed to be University), Delhi-NCR. He is also pursuing his Ph.D. at the Central University of Jammu, focusing on advanced areas in Computer Science and IT. With a strong academic foundation including an MCA from the University of Jammu and an M.Tech. (CSE) from IIT Patna (in progress), Dr. Singh has qualified multiple prestigious exams such as UGC NET (five times) and HP-SET.

Profile:

🎓 Academic Background:

  • Ph.D. (Pursuing) – Central University of Jammu (2022–Present)

  • M.Tech in CSE (Pursuing) – IIT Patna (2025–Present)

  • MCA – University of Jammu | 7.70 CGPA

  • B.Sc. – University of Jammu | 61.39%

  • DCA – Shruti Institute of IT & Management, J&K | 87.5%

✅ Exams Qualified:

  • UGC-NET – Dec 2020, June 2021, June 2020, Dec 2019, June 2019

  • HP SET – Nov 2019

🧑‍🏫 Professional Experience:

  • Assistant Professor – CHRIST University, Delhi-NCR (2024–Present)

  • Doctoral Research Scholar – CU Jammu (2022–Present)

  • Lecturer & HoD (CS & IT) – University of Jammu, Kishtwar Campus (2019–2022)

🏆 Academic Highlights:

  • Certified in Research Ethics & Plagiarism (SWAYAM IGNOU, 86%)

  • Completed NPTEL course on Python for Data Science

  • Attended over 35+ FDPs, Webinars & Workshops on AI, Machine Learning, Blockchain, IoT, Cybersecurity, and Data Science

🌐 Notable Engagements:

  • FDPs on AI, Big Data Tools, ICT Tools, and Deep Learning

  • Workshops on Medical Image Analysis, Computational Intelligence, Entrepreneurial Mindset, and Blockchain Technology

  • Active participant in national-level quizzes, webinars, and skill development programs

🧠 Core Areas of Expertise:

  • Machine Learning

  • Cybersecurity & Blockchain

  • IoT & AI Applications

  • Data Science & Programming (Java, Python)

🏅 Vision Statement:

To contribute meaningfully to academia and industry through teaching, cutting-edge research, and community-focused learning initiatives.

📊 Citation Metrics:

  • Total Citations: 717

  • Citations Since 2020: 710

  • h-index: 11

  • i10-index: 11

Publication Top Notes:

  • Time Series Forecasting of COVID-19 using Deep Learning Models: India-USA Comparative Case Study
    Chaos, Solitons & Fractals (2020) – Cited by 327

  • Deep-LSTM Ensemble Framework to Forecast COVID-19: An Insight to the Global Pandemic
    International Journal of Information Technology (2021) – Cited by 81

  • CheXImageNet: A Novel Architecture for Accurate Classification of COVID-19 with Chest X-ray Digital Images Using Deep CNNs
    Health and Technology (2022) – Cited by 51

  • Implementation of Exponential Smoothing for Forecasting Time Series Data
    International Journal of Scientific Research in Computer Science (2019) – Cited by 43

  • The Complexities of Migraine: A Debate Among Migraine Researchers – A Review
    Clinical Neurology and Neurosurgery (2022) – Cited by 40

  • Black Fungus Immunosuppressive Epidemic with COVID-19 Associated Mucormycosis: A Clinical and Diagnostic Perspective from India
    Immunogenetics (2021) – Cited by 34

  • Meta-Health: Meta-Learning as a Next Generation of Deep Learning in Healthcare for Rare Disorders
    Archives of Computational Methods in Engineering (2023) – Cited by 29

  • LiteCovidNet: A Lightweight Deep Neural Network for COVID-19 Detection Using X-ray Images
    International Journal of Imaging Systems and Technology (2022) – Cited by 28

  • CoBiD-Net: A Tailored Deep Learning Ensemble for COVID-19 Time Series Forecasting
    Spatial Information Research (2022) – Cited by 25

  • GBoost: A Novel Grading-AdaBoost Ensemble for Erythemato-Squamous Disease Identification
    International Journal of Information Technology (2021) – Cited by 18

  • A Nested Stacking Ensemble for Predicting Districts with High and Low Maternal Mortality Ratio (MMR) in India
    International Journal of Information Technology (2021) – Cited by 16

  • A Comprehensive Investigation of eNOS Gene Polymorphisms and Risk of Neurological Disorders
    Journal of Molecular Neuroscience (2023) – Cited by 6

  • Classification of Maternal Healthcare Data Using Naive Bayes
    International Journal of Computer Sciences and Engineering (2019) – Cited by 5

  • BC-Net: Early Diagnostics of Breast Cancer Using Nested Ensemble Machine Learning
    Automatic Control and Computer Sciences (2023) – Cited by 3

  • Hybrid CNN-LSTM with Feature Selection and SMOTE for Network Attack Detection
    International Journal of Sensor Networks (2023) – Cited by 3

  • IRAM-NET: Meta-Learning Network for Rare de Novo Glioblastoma Diagnosis
    Neural Computing and Applications (2024) – Cited by 2

  • Convolutional Bi-Directional LSTM Model for Forecasting COVID-19 in Algeria
    Computational Intelligence in Healthcare Applications (2022) – Cited by 2

  • Designing Contactless Automated Systems Using IoT, Sensors, and AI to Mitigate COVID-19
    Internet of Things (2022) – Cited by 2

  • Meta-Learning-Based Framework for Diagnosing Rare Disorders: A Survey
    AIP Conference Proceedings (2024) – Cited by 1

  • En-Fuzzy-ClaF: A Stacked Fuzzy Classification Framework for COVID-19 Diagnosis
    Society 5.0 and the Future of Emerging Computational Technologies (2022) – Cited by 1

 

Michael Crawford | Neuroscience | Lifetime Achievement Award

Published on by International Popular Scientist Awards

Prof. Michael Crawford | Neuroscience | Lifetime Achievement Award

Nutrition and Neurodevelopment at Chelsea and Westminster Hospital: Imperial College Medical Library, United Kingdom

Professor Michael A. Crawford is a globally recognized pioneer in the field of nutritional neuroscience and lipid metabolism. He earned his BSc in Chemistry from the University of Edinburgh (1952) and his PhD in Chemical Pathology from the University of London (1960). He has held prominent academic and leadership roles across institutions including Imperial College London, the Queen Elizabeth Hospital for Children, and London Metropolitan University.

Profile:

📚 Education & Credentials:

  • BSc in Chemistry – University of Edinburgh (1952)

  • PhD in Chemical Pathology – University of London, Hammersmith (1960)

  • Fellowships: Royal Society of Chemistry, Royal Society of Biology, Royal College of Pathologists

🏥 Current Role:

  • Visiting Professor at the Department of Metabolism, Digestion and Reproduction, Imperial College London (2010–Present)

  • Chief Investigator of the FOSS Trial (ISRCTN 24068733) on maternal nutrition and neurodevelopment

🧪 Research Impact:

A pioneer in brain nutrition, Dr. Crawford discovered the essential role of DHA (docosahexaenoic acid) in brain development and mental health. His research predicted the rise in mental disorders due to poor maternal nutrition—now validated by increasing global concern.

🌍 Global Influence & Collaborations:

Dr. Crawford has contributed to WHO/FAO expert consultations, worked with governments (UK, Oman, Japan), and advised major health organizations and food companies on lipid nutrition and brain health.

📜 Key Positions Held:

  • Director, Institute of Brain Chemistry and Human Nutrition (1989–2010)

  • Head, Biochemistry & Nutrition, Nuffield Institute (1965–1989)

  • Lecturer, Makerere University Medical School, Uganda (1960–1965)

  • Visiting & Special Professor in the UK and internationally

🎖️ Awards & Honors:

  • Chevreul Medal (2015) 🇫🇷

  • Brain of the Year (2013) 🧠

  • Order of the Rising Sun, Japan 🇯🇵

  • Alexander Leaf Lifetime Achievement Award, ISSFAL (2016)

  • Hall of Fame, Royal Society of Medicine (2010)

✈️ Military & Personal:

  • Served in the Royal Air Force and Royal Canadian Air Force (1952–56)

  • Passionate about music (piano), beekeeping, scuba diving, and flying

  • Married to Sheilagh Inglis (deceased); father of 6 children including 2 adopted

📊 Citation Metrics:

  • Total Citations: 10,425

  • Citing Documents: 7,433

  • Published Works: 328

  • h-index: 55

Publication Top Notes:

  1. Docosahexaenoic Acid Explains the Unexplained in Visual Transduction
    Entropy (Basel, Switzerland), 2023
    DOI: 10.3390/e25111520

  2. The Shrinking Brain (Book – Conceptualization)
    Michael A. Crawford & David Marsh, 2023

  3. Net Effects Explain the Benefits to Children From Maternal Fish Consumption Despite Methylmercury in Fish
    Neurotoxicology, 2023
    DOI: 10.1016/j.neuro.2023.10.010

  4. The Imperative of Arachidonic Acid in Early Human Development
    Progress in Lipid Research, 2023
    DOI: 10.1016/j.plipres.2023.101222

  5. A Study of Severe Malnutrition in Malawian Children Illustrates the Need for Appropriate Lipid Nutrition to Protect the Brain
    The American Journal of Clinical Nutrition, 2022
    DOI: 10.1093/ajcn/nqab425

  6. Male and Female, Prenatal Brain Development Differs in Response to the Maternal Omega-3 and -6 Nutritional Status
    Current Developments in Nutrition, 2021
    DOI: 10.1093/cdn/nzab046_031

  7. Lipids in the Origin of Intracellular Detail and Speciation in the Cambrian Epoch and the Significance of the Last Double Bond of Docosahexaenoic Acid in Cell Signaling
    Prostaglandins, Leukotrienes and Essential Fatty Acids, 2021
    DOI: 10.1016/j.plefa.2020.102230

  8. An Abundance of Seafood Consumption Studies Presents New Opportunities to Evaluate Effects on Neurocognitive Development
    Prostaglandins, Leukotrienes and Essential Fatty Acids, 2019
    DOI: 10.1016/j.plefa.2019.10.001

  9. Relationships Between Seafood Consumption During Pregnancy and Childhood and Neurocognitive Development: Two Systematic Reviews
    Prostaglandins, Leukotrienes and Essential Fatty Acids, 2019
    DOI: 10.1016/j.plefa.2019.10.002

  10. In Transition: Current Health Challenges and Priorities in Sudan
    BMJ Global Health, 2019
    DOI: 10.1136/bmjgh-2019-001723

  11. Randomized Controlled Trial of Brain Specific Fatty Acid Supplementation in Pregnant Women Increases Brain Volumes on MRI Scans of Their Newborn Infants
    Prostaglandins, Leukotrienes and Essential Fatty Acids, 2018
    DOI: 10.1016/j.plefa.2018.09.001

 

Ningbo Bai | Geophysics | Best Researcher Award

Published on by International Popular Scientist Awards

Dr. Ningbo Bai | Geophysics | Best Researcher Award

Lecturer at Henan Polytechnic University, China

Dr. Ningbo Bai is a Lecturer at Henan Polytechnic University, China. He earned his Ph.D. in Geophysics from the China University of Geosciences (Wuhan) in 2023. His research focuses on three-dimensional electromagnetic forward modeling, inversion imaging, and deep geothermal exploration. Dr. Bai has authored over 10 SCI-indexed journal articles and led multiple research projects in geophysical inversion techniques. His innovative methods have been applied successfully in geothermal regions such as the Dabie Mountains. He maintains active collaborations with several Chinese universities and has one patent under process, contributing significantly to applied geophysical research.

Profile:

🎓 Academic Background:

Ph.D. in Geophysics (2023) – China University of Geosciences (Wuhan)

🧪 Research Focus:

  • 3D Electromagnetic Forward Modeling

  • Inversion Imaging Techniques

  • Joint Inversion Methods

  • Deep Geothermal Exploration

📈 Research Achievements:

  • 11 SCI-indexed journal publications

  • 5 completed/ongoing research projects

  • Citation Index: 54

  • 1 patent (published/under process)

  • 2 industry consultancy projects

🤝 Collaborations:

Actively collaborates with leading Chinese institutions including:

  • China University of Geosciences (Wuhan)

  • China University of Petroleum (East China)

  • Changjiang University

  • National research institutes

🔍 Research Contributions:

Dr. Bai has developed advanced algorithms for forward and inverse geophysical modeling, significantly improving subsurface structure interpretation. His innovations have been effectively applied in geothermal studies, especially in the Dabie Mountains, aiding in identifying thermal genesis models.

🚀 Professional Highlights:

  • Early-career researcher with a growing impact

  • Focused on applied, real-world geoscientific challenges

  • Emerging expert in electromagnetic simulation in geophysics

Publication Top Notes:

  • 3D Inversion Algorithm of Magnetotelluric Data Based on the Solution Space Dimensionality Reduction Technique
    GEOPHYSICS, 2025-05-01
    DOI: 10.1190/geo2024-0252.1

  • Deep Temperature-Field Prediction Utilizing the Temperature–Pressure-Coupled Resistivity Model: A Case Study in the Xiong’an New Area, China
    IEEE Transactions on Geoscience and Remote Sensing, 2024
    DOI: 10.1109/TGRS.2023.3343718

  • Gauss–Newton With Preconditioned Conjugate Gradient Magnetotelluric Inversion for 3-D Axial Anisotropic Conductivities
    IEEE Transactions on Geoscience and Remote Sensing, 2024
    DOI: 10.1109/TGRS.2024.3367378

  • Efficient Solution Scheme for Large-Scale Anisotropic Forward Modeling of 3-D Magnetotelluric Data
    IEEE Transactions on Geoscience and Remote Sensing, 2023
    DOI: 10.1109/TGRS.2023.3252638

  • Fast 3D Simulation of Magnetotelluric Data in Anisotropic Media Using a Rational Krylov Method
    GEOPHYSICS, 2023-11-01
    DOI: 10.1190/geo2022-0533.1