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

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

Doctorate at Natural History Museum Vienna, Austria

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📚 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)

💼 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 Mühlhans, 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 für 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 für 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 Fojtík, Angelika Rudelics, Andreas Kroh
  • Journal: Annalen des Naturhistorischen Museums in Wien. Serie A für 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

Dr. Seyed Hamed Godasiaei | Deep Learning | Best Researcher Award

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Dr. Seyed Hamed Godasiaei, Deep Learning, Best Researcher Award

Doctorate at Xi’an Jiaotong University, China

Professional Profile

Summary:

Dr. Seyed Hamed Godasiaei is a versatile professional with a rich background in chemical engineering, research, and development. His career spans various disciplines, showcasing expertise in computational fluid dynamics (CFD), machine learning applications, environmental experiments, and heat transfer analysis.

🎓 Education:

  • Ph.D. in Chemical Engineering: Xi’an Jiaotong University
  • M.S. in Chemical Engineering: Islamic Azad University of Shahrood
  • Bachelor’s in Chemical Engineering: Islamic Azad University of Birjand

💼 Professional Experience

  • Welding and Mapping GIS: Dr. Godasiaei has applied his skills in welding techniques and Geographic Information System (GIS) mapping to various projects.
  • Lab Researcher: His research includes extensive work in environmental experiments and heat transfer studies.
  • Python for Machine Learning: He leverages Python programming for advanced applications in machine learning.
  • C++ Programming: Proficient in C++ for developing computational models and simulations.

🏆 Achievements & Awards:

  • elected as a top researcher by the Iranian National Standards Organization.
  • Recognized for environmental research contributions at KhatamToos Co, Iran.

Skills and Expertise:

Dr. Godasiaei is proficient in a wide array of software and tools essential for his research and professional endeavors, including Ansys Fluent, Ansys CFX, CFD-Post, ICEM CFD, Space Claim, Gambit, STAR-CCM+, AutoCAD, Photoshop, CorelDRAW, SolidWorks, Comsol, openLB, and Python programming.

 

Publications Top Noted:

Paper Title: Water jet angle prediction in supersonic crossflows: Euler–Lagrange and machine learning approaches
  • Authors: S.H. Godasiaei, H. Kamali
  • Journal: European Physical Journal Plus
  • Volume: 139
  • Issue: 3
  • Pages: 251
  • Year: 2024
  • Citations: 3
Paper Title: Exploring novel heat transfer correlations: Machine learning insights for molten salt heat exchangers
  • Authors: S.H. Godasiaei, A.J. Chamkha
  • Journal: Numerical Heat Transfer; Part A: Applications
  • Year: 2024
  • Citations: 2
Paper Title: Ballistic limit evolution of field-aged flexible multi-ply UHMWPE-based composite armour inserts
  • Authors: S.H. Godasiaei
  • Journal: Numerical Heat Transfer; Part A: Applications
  • Year: 2024
Paper Title: Saturated/subcooled flow boiling heat transfer inside micro/mini-channels: A new prediction correlation and experiment evaluation
  • Authors: X. Ma, X. Ji, C. Hu, J. Wei, S.H. Godasiaei
  • Journal: International Journal of Heat and Mass Transfer
  • Volume: 210
  • Pages: 124184
  • Year: 2023
  • Citations: 5
Paper Title: Advancing heat transfer modeling through machine learning: A focus on forced convection with nanoparticles
  • Authors: S.H. Godasiaei, A.J. Chamkha
  • Journal: Numerical Heat Transfer; Part A: Applications
  • Year: 2023

Assoc Prof Dr. Sinong Quan | Object Detection and Recognition | Best Researcher Award

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Assoc Prof Dr. Sinong Quan, Object Detection and Recognition, Best Researcher Award

Sinong Quan at National University of Defense Technology, China

Professional Profile

 

🎓 Education:

  • Assoc. Prof. Dr. Sinong Quan received his Ph.D. degree in Information and Communication Engineering from the National University of Defense Technology, Changsha, China, in 2019.

💼 Current Position:

He is currently an Associate Professor with the College of Electronic Science and Technology at the National University of Defense Technology.

🏆 Awards and Recognitions:

  • National Postdoctoral Innovative Talent Support Program Award (2022)
  • First-Class Science and Technology Progress Award from the Ministry of Education (2022)
  • Second-Class Nature Science Award from the Chinese Institute of Electronics (2021)
  • Outstanding Doctoral Dissertation of the PLA (2021)
  • Outstanding Master Dissertation of Hunan Province (2018)

🔬 Research Interests:

His research interests span imaging radar countermeasure and recognition, polarimetric radar information processing, target detection, pattern recognition, and machine learning.

 

Publications Top Noted:

Paper Title: Nearshore Ship Detection in PolSAR Images by Integrating Superpixel-Level GP-PNF and Refined Polarimetric Decomposition
  • Authors: Shujie Wu, Wei Wang, Jie Deng, Sinong Quan, Feng Ruan, Pengcheng Guo, Hongqi Fan
  • Journal: Remote Sensing
  • Volume: 16
  • Issue: 6
  • Year: 2024
Paper Title: Shadow-Based False Target Identification for SAR Images
  • Authors: Haoyu Zhang, Sinong Quan, Shiqi Xing, Junpeng Wang, Yongzhen Li, Ping Wang
  • Journal: Remote Sensing
  • Volume: 15
  • Issue: 21
  • Year: 2023
Paper Title: Ballistic limit evolution of field-aged flexible multi-ply UHMWPE-based composite armour inserts
  • Authors: Yancui Duan, Sinong Quan, Hui Fan, Zhenhai Xu, Shunping Xiao
  • Journal: Remote Sensing
  • Volume: 15
  • Issue: 18
  • Year: 2023
Paper Title: Near-Field 3D Sparse SAR Direct Imaging with Irregular Samples
  • Authors: Shiqi Xing, Shaoqiu Song, Sinong Quan, Dou Sun, Junpeng Wang, Yongzhen Li
  • Journal: Remote Sensing
  • Volume: 14
  • Issue: 24
  • Year: 2022
Paper Title: Near Field 3-D Millimeter-Wave SAR Image Enhancement and Detection with Application of Antenna Pattern Compensation
  • Authors: Shaoqiu Song, Jie Lu, Shiqi Xing, Sinong Quan, Junpeng Wang, Yongzhen Li, Jing Lian
  • Journal: Sensors
  • Volume: 22
  • Issue: 12
  • Year: 2022