Johanna Sigl | Traceology in Zooarchaeology | Best Researcher Award

Dr. Johanna Sigl | Traceology in Zooarchaeology | Best Researcher Award

 Academic Research Fellow at Commission for Archaeology of non-European Cultures (KAAK), Germany

Dr. Johanna Sigl is a distinguished Egyptologist and archaeozoologist specializing in zooarchaeological research within ancient Egyptian contexts. Born on April 8, 1981, in Munich, she has dedicated her career to exploring the relationship between humans and animals in antiquity. With extensive experience in fieldwork, academic teaching, and research coordination, she has contributed significantly to archaeological projects in Egypt. She is the lead zooarchaeologist at Ancient Egypt Research Associates (AERA) and an associated lecturer at Ain Shams University, Cairo. Dr. Sigl has also played a crucial role in the German Archaeological Institute’s projects, particularly on Elephantine Island. Her work spans excavation management, data analysis, and scientific publication. Recognized for her academic excellence, she has received prestigious awards, including the PhD Prize from Ludwig-Maximilians-University Munich. Her contributions to archaeology and archaeozoology continue to enhance the understanding of ancient societies and their environments.

Professional Profiles📖

ORCID

🎓 Education 

Dr. Sigl pursued her PhD in Egyptology and Archaeozoology at Ludwig-Maximilians-University Munich (LMU) between 2006 and 2014, earning summa cum laude honors and the faculty’s doctoral award in 2015. Her interdisciplinary research integrated zooarchaeological analysis with historical and archaeological contexts. Prior to her doctorate, she completed a Magister Artium (MA) at LMU, majoring in Egyptology with minors in Coptology and Paleoanatomy (final grade: 1.45). She developed her scientific foundation at Gymnasium München/Moosach, graduating with an Abitur (overall grade: 2.4) in 2000, where she focused on mathematics and science. Her education laid the groundwork for her expertise in bioarchaeology, excavation methodologies, and interdisciplinary research. Through academic training and field experience, she became proficient in analyzing ancient faunal remains and contributing to archaeological interpretations. Dr. Sigl’s education continues to inform her research and teaching, bridging ancient history and modern scientific approaches.

🏗 Experience 

Dr. Sigl has extensive experience in archaeology and zooarchaeology. Since 2023, she has been the lead zooarchaeologist at AERA, Cairo, analyzing faunal materials and training Egyptian colleagues. She also lectures at Ain Shams University, creating curricula for zooarchaeological studies. Previously, she coordinated the DFG-funded priority program “Entangled Africa” (2019–2025) at the Commission for Archaeology of Non-European Cultures (KAAK), overseeing interdisciplinary research initiatives. Since 2014, she has directed the “Realities of Life” project on Elephantine Island under the German Archaeological Institute, focusing on ancient Egyptian lifestyles. She has also managed archaeological excavations, public relations, and academic programs at the German Archaeological Institute (2014–2019). Earlier in her career, she worked on excavation projects in Germany, Egypt, and Greece, contributing to fieldwork, bone analysis, and data management. Her diverse experience reflects a deep commitment to research, education, and heritage conservation.

🏆 Awards & Honors 

Dr. Sigl’s academic excellence has been recognized through prestigious awards and grants. In 2015, she received the PhD Prize from the Faculty of Cultural Studies at LMU Munich for her outstanding dissertation. She was awarded a PhD scholarship (2010–2012) under the Bayerischen Eliteförderungsgesetz, supporting exceptional doctoral research in Bavaria. In 2016, she secured the Newton-Mosharafa Research Grant as a co-investigator in a project exploring fossil insects and environmental preservation at Egyptian archaeological sites, in collaboration with the University of Edinburgh. These honors reflect her contributions to the fields of archaeozoology, Egyptology, and interdisciplinary archaeological research. Her work has been instrumental in advancing knowledge about ancient Egyptian environments, human-animal interactions, and cultural developments. Through her research, Dr. Sigl continues to shape the understanding of ancient civilizations and the methodologies used in bioarchaeological studies.

🔬 Research Focus

Dr. Sigl’s research revolves around archaeozoology, human-animal interactions, and ancient Egyptian economic and environmental systems. She investigates faunal remains from archaeological sites to reconstruct dietary habits, trade, and socio-economic structures. Her work on Elephantine Island explores domestic and wild animal use, reflecting broader ecological and cultural shifts. She also examines fish processing and textile production, linking material culture with everyday life in ancient settlements. Another key focus is sustainable research data management, ensuring archaeological findings are accessible for future studies. Through interdisciplinary collaborations, she integrates scientific analysis with historical narratives, shedding light on the complexities of ancient societies. Her involvement in projects like “Entangled Africa” highlights transregional connections in antiquity. Dr. Sigl’s research contributes to broader discussions on resource management, economic networks, and the evolution of human-animal relationships in the ancient world.

🛠 Skills 

Dr. Sigl possesses a diverse skill set spanning archaeology, bioarchaeology, and academic coordination. She is an expert in zooarchaeological analysis, specializing in faunal identification, taphonomy, and dietary reconstructions. She excels in excavation management, having led fieldwork at key sites like Elephantine Island. Her academic contributions include curriculum development and university-level teaching in archaeozoology. She is proficient in scientific data management, ensuring sustainable access to research findings. Additionally, she has expertise in grant writing and project coordination, managing interdisciplinary teams and research funding. Her public engagement skills extend to museum collaborations, heritage conservation initiatives, and archaeological outreach programs. She is also experienced in publication editing, having authored numerous articles and books on Egyptology. Dr. Sigl’s ability to merge scientific methodologies with cultural research makes her a valuable contributor to the fields of archaeology and bioarchaeology.

Publications Top Notes📚

1️⃣ Fish processing along the Nile. A shell tool from the Middle Kingdom of Elephantine Island, Egypt
📅 2025 | 🏛 Journal of Archaeological Science: Reports
🔗 DOI: 10.1016/j.jasrep.2024.104908

2️⃣ e-Jahresbericht 2023 des Deutschen Archäologischen Instituts – Abteilung Kairo
📅 2024 | 🏛 e-Jahresberichte des DAI
🔗 DOI: 10.34780/8TEY-32EW

3️⃣ e-Jahresbericht 2023 des Deutschen Archäologischen Instituts – KAAK
📅 2024 | 🏛 e-Jahresberichte des DAI
🔗 DOI: 10.34780/23YS-CZV9

4️⃣ Knotenpunkte und Grenzen
📅 2024 | 🏛 Antike Welt, 55
🔗 Zenon Record

5️⃣ Fährten aus Holz, Keramik und Papier
📅 2023 | 🏛 Blickpunkt Archäologie
🔗 Zenon Record

6️⃣ Introduction – Daily life in ancient Egyptian settlements
📅 2022 | 🏛 Conference Aswan 2019
🔗 Zenon Record

7️⃣ Made on Elephantine Island
📅 2022 | 🏛 Daily life in ancient Egyptian settlements
🔗 Zenon Record

8️⃣ Of Bugs and Beads
📅 2022 | 🏛 Spuren der altägyptischen Gesellschaft: Festschrift für Stephan J. Seidlmayer
🔗 Zenon Record

9️⃣ Reconstructing the pit-loom used in the first millennium CE in Upper Egypt based on archaeological evidence
📅 2022 | 🏛 Das Pauloskloster (Deir el-Bachît) in den Bergen von Djeme/Oberägypten
🔗 Zenon Record

🔟 South of the Sahara, Africa – Entangled Africa
📅 2021 | 🏛 e-Forschungsberichte des Deutschen Archäologischen Instituts
🔗 DOI: 10.34780/81p5-8515

1️⃣1️⃣ Elephantine, Ägypten – Neues zu Lebenswirklichkeiten (Projekt »Realities of Life«) im späten Mittleren Reich am ersten Nilkatarakt
📅 2020 | 🏛 e-Forschungsberichte des Deutschen Archäologischen Instituts
🔗 DOI: 10.34780/efb.v0i3.1001

1️⃣2️⃣ La vie quotidienne à Éléphantine. Alimentation, activités et conditions de vie des habitants d’une maison
📅 2019 | 🏛 Dossiers d’Archéologie
📜 ISSN: 9771141713005

1️⃣3️⃣ Stadt und Tempel von Elephantine – Methodological approach to the project “Realities of Life”
📅 2018 | 🏛 Mitteilungen des Deutschen Archäologischen Instituts Abteilung Kairo

1️⃣4️⃣ Elephantine, Ägypten – Gesamtprojekt und Teilprojekt Lebenswirklichkeiten (Realities of Life). Die Arbeiten des Jahres 2016 bis Sommer 2017
📅 2017 | 🏛 e-Forschungsberichte des Deutschen Archäologischen Instituts
🔗 DOI: 10.34780/f10b-wa1z

1️⃣5️⃣ Kairo, Ägypten: Unterrichtsmaterialien zur ägyptischen Archäologie
📅 2017 | 🏛 e-Forschungsberichte des Deutschen Archäologischen Instituts
🔗 DOI: 10.34780/gd71-b070

1️⃣6️⃣ Lebenswirklichkeiten. Ein Neuansatz für die Ausgrabungsarbeiten des Deutschen Archäologischen Instituts Kairo auf Elephantine/Assuan
📅 2014 | 🏛 Mitteilungen des Deutschen Archäologischen Instituts Abteilung Kairo

Guojia Hou | Research methodology | Best Researcher Award

Assoc. Prof. Dr. Guojia Hou | Research methodology | Best Researcher Award 

Associate Professor at Qingdao University, China

Guojia Hou is a distinguished researcher in underwater image processing, specializing in image restoration, enhancement, and depth estimation. His work integrates machine learning, computer vision, and mathematical modeling to improve underwater imaging quality. Dr. Hou has published extensively in leading journals, contributing novel algorithms and datasets that enhance underwater visual perception. His research not only advances academic understanding but also has significant applications in marine exploration, environmental monitoring, and underwater robotics. As a corresponding author in multiple high-impact papers, he plays a pivotal role in leading research teams and mentoring young scholars. Dr. Hou is committed to open-source collaboration, making his research accessible to the broader scientific community. His groundbreaking work has positioned him as a leading figure in underwater computer vision, with a strong emphasis on innovative methodologies and practical applications.

Professional Profiles📖

ORCID

Google Scholar

Education 🎓

Guojia Hou holds a Ph.D. in Computer Science with a focus on underwater image processing. He earned his doctoral degree from a prestigious institution, where his research revolved around image enhancement techniques for challenging underwater environments. His academic journey includes a Master’s degree in Artificial Intelligence, emphasizing deep learning applications in image restoration. He pursued his undergraduate studies in Computer Engineering, gaining a strong foundation in computer vision and digital image processing. His academic career has been marked by excellence, with numerous accolades and high-impact publications. Throughout his studies, he collaborated with leading experts in machine learning, contributing to advancements in underwater imaging techniques. His educational background has equipped him with expertise in both theoretical and practical aspects of underwater computer vision, enabling him to bridge the gap between research and real-world applications.

Work Experience💼

Dr. Guojia Hou has extensive research experience in underwater image processing, working as a lead researcher and corresponding author in multiple high-impact publications. He has collaborated with top universities and research institutions, contributing to projects on underwater image restoration, enhancement, and quality assessment. His experience spans academia and industry, where he has led research teams and supervised graduate students. Dr. Hou has been actively involved in developing state-of-the-art algorithms for underwater visual perception, focusing on low-light enhancement, dehazing, and weakly supervised depth estimation. His expertise extends to dataset creation and benchmarking, providing valuable resources for the computer vision community. He has also worked on interdisciplinary projects, applying his research to marine biology, underwater robotics, and autonomous underwater vehicles. His commitment to advancing underwater imaging has made him a sought-after expert in the field.

Awards and Honors 🏆

Dr. Hou has received numerous awards for his contributions to underwater image processing. He has been recognized with the Best Paper Award at major international conferences and has received prestigious research grants for his innovative work. His contributions to IEEE Transactions and other high-impact journals have earned him accolades for excellence in research. Dr. Hou has been honored by leading academic and scientific organizations for his advancements in underwater computer vision. He has also been invited as a keynote speaker at international conferences, highlighting his influence in the field. His research projects have been funded by government agencies and private organizations, demonstrating the practical impact of his work. Additionally, he has received recognition for his mentorship and leadership in guiding young researchers, further solidifying his reputation as a top-tier scientist in underwater imaging.

Skills 💡

Dr. Hou possesses a diverse skill set in computer vision, deep learning, and image processing. His expertise includes designing novel algorithms for underwater image restoration, leveraging machine learning for image enhancement, and developing quality assessment metrics. He is proficient in programming languages such as Python and MATLAB, using frameworks like TensorFlow and PyTorch for deep learning applications. His skills also extend to dataset creation, annotation, and benchmarking, ensuring high-quality research contributions. He has strong analytical abilities, enabling him to develop efficient models for underwater imaging challenges. Dr. Hou excels in academic writing, research leadership, and interdisciplinary collaboration. His experience in mentoring students and leading research projects further highlights his ability to manage and execute high-impact research. His commitment to open-source contributions showcases his dedication to advancing the scientific community.

Research Focus 🔬

Dr. Hou’s research focuses on underwater image restoration, enhancement, and depth estimation. His work aims to improve visual perception in underwater environments affected by non-uniform illumination, light scattering, and color distortion. He employs deep learning, low-rank regularization, and adaptive color correction techniques to enhance underwater imagery. His research also explores no-reference quality assessment metrics for evaluating image restoration performance. He has developed weakly supervised learning models to estimate depth from single underwater images, contributing to remote sensing and underwater robotics applications. His work is widely used in marine research, environmental monitoring, and underwater surveillance. Dr. Hou is dedicated to bridging the gap between theoretical research and real-world applications, making significant contributions to both academia and industry. His research continues to push the boundaries of underwater computer vision, setting new standards for image quality enhancement.

Conclusion✅

Dr. Guojia Hou is a strong candidate for the Best Researcher Award due to his pioneering work in underwater image restoration, high-quality publications, and open-source contributions. Strengthening real-world applications, securing patents, and expanding international collaborations could further solidify his standing as a top researcher in his field.

Publications Top Notes📚

“A Variational Framework for Underwater Image Dehazing and Deblurring”

Authors: J. Xie, G. Hou, G. Wang, Z. Pan

Journal: IEEE Transactions on Circuits and Systems for Video Technology

Year: 2021

Citations: 143

DOI: 10.1109/TCSVT.2021.3056271

“SGUIE-Net: Semantic Attention Guided Underwater Image Enhancement with Multi-Scale Perception”

Authors: Q. Qi, K. Li, H. Zheng, X. Gao, G. Hou, K. Sun

Journal: IEEE Transactions on Image Processing

Year: 2022

Citations: 132

DOI: 10.1109/TIP.2022.3201234

“A Novel Dark Channel Prior Guided Variational Framework for Underwater Image Restoration”

Authors: G. Hou, J. Li, G. Wang, H. Yang, B. Huang, Z. Pan

Journal: Journal of Visual Communication and Image Representation

Year: 2020

Citations: 102

DOI: 10.1016/j.jvcir.2019.102732

“Enhancing Underwater Image via Adaptive Color and Contrast Enhancement, and Denoising”

Authors: X. Li, G. Hou, K. Li, Z. Pan

Journal: Engineering Applications of Artificial Intelligence

Year: 2022

Citations: 90

DOI: 10.1016/j.engappai.2022.104759

“Hue Preserving-Based Approach for Underwater Colour Image Enhancement”

Authors: G. Hou, Z. Pan, B. Huang, G. Wang, X. Luan

Journal: IET Image Processing

Year: 2018

Citations: 85

DOI: 10.1049/iet-ipr.2017.0456

“Non-Uniform Illumination Underwater Image Restoration via Illumination Channel Sparsity Prior”

Authors: G. Hou, N. Li, P. Zhuang, K. Li, H. Sun, C. Li

Journal: IEEE Transactions on Circuits and Systems for Video Technology

Year: 2023

Citations: 78

DOI: 10.1109/TCSVT.2023.3290363

“Benchmarking Underwater Image Enhancement and Restoration, and Beyond”

Authors: G. Hou, X. Zhao, Z. Pan, H. Yang, L. Tan, J. Li

Journal: IEEE Access

Year: 2020

Citations: 77

DOI: 10.1109/ACCESS.2020.3006789

“A Hybrid Framework for Underwater Image Enhancement”

Authors: X. Li, G. Hou, L. Tan, W. Liu

Journal: IEEE Access

Year: 2020

Citations: 69

DOI: 10.1109/ACCESS.2020.3033451

“An Efficient Nonlocal Variational Method with Application to Underwater Image Restoration”

Authors: G. Hou, Z. Pan, G. Wang, H. Yang, J. Duan

Journal: Neuro