Prof. Dr. Shaofeng Shao | AI-driven Material Discovery | Best Researcher Award

Prof. Dr. Shaofeng Shao | AI-driven Material Discovery | Best Researcher Award

Nanjing University of Information Science and Technology, China

👨‍🎓 Profiles

Scopus

Publications

Harnessing Transfer Deep Learning Framework for the Investigation of Transition Metal Perovskite Oxides with Advanced p-n Transformation Sensing Performance

  • Authors: S. Shao, Shaofeng; L. Yan, Liangwei; J. Li, Jiale; H.W. Kim, Hyoun Woo; S.S. Kim, Sang Sub
    Journal: ACS Sensors
    Year: 2025

Language Model-Assisted Machine Learning, Photoelectrochemical, and First-Principles Investigation of Compatible Solvents for a CH3NH3PbI3 Film in Water

  • Authors: Y. Huang, Yiru; S. Li, Shenyue; W. Hu, Wenguang; Q. Li, Qingfang; L. Zhang, Lei
    Journal: ACS Applied Materials and Interfaces
    Year: 2024

Data-driven exploration of terbium-doped tungsten oxide for Ultra-Precise detection of 3H-2B: Implications for gas sensor applications

  • Authors: S. Shao, Shaofeng; L. Yan, Liangwei; L. Zhang, Lei; H.W. Kim, Hyoun Woo; S.S. Kim, Sang Sub
    Journal: Chemical Engineering Journal
    Year: 2024

Ionic liquid-assisted preparation of Ag–Zn–In–S quaternary quantum dot thin films and luminescence performance optimized by machine learning

  • Authors: S. Wei, Song; X. Luo, Xiang; S. Shao, Shaofeng; L. Zhang, Lei
    Journal: Dyes and Pigments
    Year: 2024

Dr. Karina Grömer | Challenges and Competitions | Best Researcher Award

📚 Summary

Dr. Karina Grömer is a leading expert in prehistoric archaeology and material culture. Currently serving as the Head of the Department of Prehistory at the Natural History Museum Vienna, she has made significant contributions to the study of textiles, particularly from the Neolithic to the Iron Age in Central Europe. Her research focuses on technological, economic, and social aspects of textile production and includes theoretical approaches to identity, innovation, and creativity. Dr. Grömer earned her Ph.D. from the University of Vienna and has held various academic and research positions, including a post-doctoral role on the DressID project. She has received notable grants for her work and is actively involved in several scientific societies.

Education

  • Ph.D. in Prehistoric Archaeology, University of Vienna (2007)
  • M.A. in Pre- and Protohistory, University of Vienna (1999)

đź’Ľ Professional Experience

  • Head of the Department of Prehistory, Natural History Museum Vienna (2022-present)
  • Habilitation in Humanities, University of Vienna (2019)
  • Staff Scientist & Vice-Head, NHM Vienna Publishing House (2012-present)
  • Post-Doc Researcher, DressID Project, NHM Vienna (2008-2012)
  • Archaeologist, Archäologie Service, Krems (2007)
  • Archaeologist, ASINOE, Lower Austria (1999-2001)

🔬 Research Interests

  • Material Culture: Neolithic to Iron Age, Central Europe.
  • Textiles: Technological, economic, and social aspects of textile production.
  • Theoretical Approaches: Identity, innovation, creativity, design theory, visual coding.
  • Interdisciplinary Studies: Organic artefacts, forensic, sociological, and semiotic analysis.

🏆 Grants and Achievements

  • Publication Grant: “The Prehistoric Art of Textile Making” (2016)
  • Research Grant: Historical-Technological Experimentation Centre Lejre, Denmark (2007)

 

Publications

Schlitzbommeln und Anhänger: Klingender Trachtschmuck aus der Byci skala-Höhle bei Brünn

  • Authors: Jörg MĂĽhlhans, Beate Maria Pomberger, Karina Grömer, Dan Topa
  • Journal: Mitteilungen der Anthropologischen Gesellschaft in Wien
  • Year: 2020

Dressing Central European prehistory–the sheep’s contribution An interdisciplinary study about archaeological textile finds and archaeozoology

  • Authors: Karina Grömer, Konstantina Saliari
  • Journal: Annalen des Naturhistorischen Museums in Wien. Serie A fĂĽr Mineralogie und Petrographie, Geologie und Paläontologie, Anthropologie und Prähistorie
  • Year: 2018

Products of animal skin from Antiquity to the Medieval Perio

  • Authors: Karina Grömer, Gabriela Russ-Popa, Konstantina Saliari
  • Journal: Annalen des Naturhistorischen Museums in Wien. Serie A fĂĽr Mineralogie und Petrographie, Geologie und Paläontologie, Anthropologie und Prähistorie
  • Year: 2017

Offering with textile wrapping from a Bell Beaker sanctuary in Brodek u Prostějova, Czech Republic

  • Authors: Karina Grömer, Pavel FojtĂ­k, Angelika Rudelics, Andreas Kroh
  • Journal: Annalen des Naturhistorischen Museums in Wien. Serie A fĂĽr Mineralogie und Petrographie, Geologie und Paläontologie, Anthropologie und Prähistorie
  • Year: 2017

Reproducing colourful woven bands from the Iron Age salt mine of Hallstatt in Austria: An interdisciplinary approach to acquire knowledge of prehistoric dyeing technology

  • Authors: Anna Hartl, Maarten R van Bommel, Ineke Joosten, Regina Hofmann-de Keijzer, Karina Grömer, Helga Rösel-Mautendorfer, Hans Reschreiter
  • Journal: Journal of Archaeological Science: Reports
  • Year: 2015

Prof Dr. Miguel González-Mohíno | Emerging trends | Best Researcher Award

Prof Dr. Miguel González-Mohíno | Emerging trends | Best Researcher Award

Miguel González-Mohíno at University of Cordoba, Spain

Profiles

Scopus

Orcid

Google Scholar

📚 Summary

Prof Dr. Miguel González-Mohíno is an Assistant Professor at the University of Córdoba, specializing in Economics and Business. With a robust background in academic research and teaching, he leverages his expertise to drive advancements in leadership, conflict management, and innovation.

Education

  • PhD in Economics and Business, University of Castilla-La Mancha.

đź’Ľ Professional Experience

  • Assistant Professor, University of CĂłrdoba
  • Postdoctoral Contract through the 2021 Requalification-Margarita Salas Modality at University of Castilla-La Mancha
  • Teaching at the University of CĂłrdoba for 2 years and 5 months

🔬 Research Interests

  • Leadership
  • Human Resources
  • Conflict Management
  • Social Media & Influencers
  • Knowledge Management
  • Innovation

🌟 Research and Innovations

  • Requalification of the Spanish University System (2021-2023): Funded by University of Castilla-La Mancha
  • Grant for Research in Ciudad Real: Municipal Institute of Economic Promotion
  • Socioeconomic Impact Study: AJE CĂłrdoba
  • Seminar-Competition Collaboration: UCLM and Ciudad Real City Council

 

Publications

Knowledge-oriented leadership for improved coordination as a solution to relationship conflict: effects on innovation capabilities

  • Authors: M González-MohĂ­no, MJ Donate, F Guadamillas, LJ Cabeza-RamĂ­rez
  • Journal: Knowledge Management Research & Practice
  • Year: 2024

Maximizing student satisfaction in education: Instagram’s role in motivation, communication, and participation

  • Authors: M González-MohĂ­no, JE Ramos-Ruiz, JA LĂłpez-Castro, L GarcĂ­a-GarcĂ­a
  • Journal: The International Journal of Management Education
  • Year: 2024

Nuevos casos de internacionalizaciĂłn de empresas andaluzas

  • Authors: FJ Fuentes GarcĂ­a
  • Journal: Tirant lo Blanch
  • Year: 2024

Explorando el impacto negativo del comportamiento inapropiado de los influencers en la reputaciĂłn de las marcas

  • Authors: JV Muñoz, M González-MohĂ­no, MM Carmona, SS Cañizares
  • Journal: Organizaciones, recursos humanos y ecosistemas de emprendimiento
  • Year: 2024

EconomĂ­a circular y consumidor de productos de segunda mano: implicaciones, oportunidades y riesgos asociados

  • Authors: LJ Cabeza-RamĂ­rez, M González-MohĂ­no, M Montilla-Carmona, …
  • Journal: Organizaciones, recursos humanos y ecosistemas de emprendimiento
  • Year: 2024

Jun-Liu-Action Recognition-Best Researcher Award 

Dr. Jun-Liu-Action Recognition-Best Researcher Award 

Singapore University of Technology and Design-Singapore 

Early Academic Pursuits

Dr. Jun Liu's academic journey began with a Bachelor of Engineering in Software Engineering from Central South University, China, followed by a Master of Science in Computer Science from Fudan University, China. His passion for research led him to pursue a Ph.D. in the School of Electrical and Electronic Engineering at Nanyang Technological University (NTU), Singapore, which he completed in 2019. During his early academic pursuits, Liu demonstrated a keen interest in artificial intelligence (AI), machine learning (ML), and computer vision, laying the foundation for his future contributions to these fields.

Professional Endeavors

Dr. Jun Liu's professional career spans both academia and industry, reflecting his multidisciplinary expertise. He commenced his academic journey as an Assistant Professor at the Singapore University of Technology and Design (SUTD) in 2019, where he actively engaged in teaching and research activities. His role expanded beyond SUTD as he assumed adjunct positions at prestigious institutions such as the University of Western Australia and Nanyang Technological University, solidifying his presence in the academic community across different continents.

Prior to his academic appointments, Liu gained valuable industry experience as a Software Engineer at Tencent Inc., China, where he honed his skills in software development. This industry exposure equipped him with practical insights that he seamlessly integrates into his academic endeavors, bridging the gap between theory and application.

Contributions and Research Focus

Dr. Jun Liu's research interests encompass AI, computer vision, and ML, with a focus on solving real-world challenges through innovative approaches. His notable contributions include advancements in egocentric vision-based activity analysis, 3D human digitization, and fine-grained event analysis in videos. By securing substantial grants from prestigious funding bodies like the Ministry of Education (MOE) and the National Research Foundation (NRF), Liu has demonstrated his ability to spearhead impactful research initiatives addressing critical societal needs.

Dr. Jun Liu's research output is not limited to theoretical advancements but also extends to practical applications with tangible benefits. His collaborations with industry partners, including AI Singapore, animalEYEQ, and Tencent, underscore his commitment to translating research findings into actionable solutions that drive technological innovation and societal progress.

Accolades and Recognition

Dr. Jun Liu's contributions to the field have been widely recognized through numerous accolades and awards. Notable among these are the Best Student Paper Awards from the Pattern Recognition and Machine Intelligence Association and the prestigious recognition as one of the top 2% scientists worldwide by Stanford University. These accolades not only affirm Liu's scholarly excellence but also serve as a testament to the impact of his research on the global academic community.

Impact and Influence

Dr. Jun Liu's research has left a profound impact on various domains, ranging from healthcare and education to computer vision and AI. His work in intelligent human behavior understanding, robust behavior analysis, and age-related disease risk assessment reflects a deep understanding of societal needs and a commitment to leveraging technology for social good. Through his mentorship of graduate students and researchers, Liu is cultivating the next generation of scholars and innovators who will continue to push the boundaries of AI and ML.

Legacy and Future Contributions

As Dr. Jun Liu's continues to advance his research agenda and mentor future leaders in the field, his legacy as a visionary researcher and educator is sure to endure. His relentless pursuit of excellence, coupled with his interdisciplinary approach to problem-solving, positions him as a driving force in shaping the future of AI, computer vision, and machine learning. With a steadfast commitment to innovation and societal impact, Liu's future contributions hold the promise of transformative change, further solidifying his status as a trailblazer in the field of computational sciences.

Citations

  • Citations      12464
  • h-index              42
  • i10-index           80

Notable Publication