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Joseph GingerichView profile

Associate Professor

• Archaeology
• Hunter-Gatherer Societies
• Stone Tool Technology
• +12 more

Joseph Gingerich is an Associate Professor in the Department of Sociology and Anthropology at Ohio University’s College of Arts and Sciences. He is also a Research Associate at the Smithsonian Institution’s National Museum of Natural History and a National Geographic Explorer-Grantee. His research spans North America and East Africa, focusing on early human adaptations during the Late Pleistocene and Early Holocene. His educational background includes a Ph.D. from the University of Wyoming and a B.A. from Temple University. His research expertise lies in hunter-gatherer societies, stone tool technology, spatial analysis, and human-environmental interactions, particularly in the context of the colonization of the Americas. Ph.D., University of Wyoming B.A., Temple University Gingerich’s research interests center on the behavioral and technological adaptations of early human populations. He employs GIS, 3D morphometrics, and lithic refitting to analyze artifact distributions and reconstruct past mobility and social patterns. His work investigates how climatic and environmental changes influenced human settlement and subsistence strategies during the Paleoindian period. The trends in his recent publications reflect a strong focus on the Eastern Fluted Point Tradition, Clovis archaeology, and the use of advanced analytical techniques such as 3D modeling and spatial statistics. His work spans zooarchaeology, geoarchaeology, and technological analysis, emphasizing interdisciplinary approaches to understanding early human behavior in North America and Africa. His research has been supported by major funding bodies including the National Science Foundation, National Geographic Society, and the Virginia Department of Historic Resources. He collaborates with prominent researchers such as Rick Potts from the Smithsonian’s Human Origins Program, particularly on the Olorgesailie project in Kenya. National Science Foundation National Geographic Society Smithsonian Institution Virginia Department of Historic Resources Gingerich teaches courses such as World Archaeology, North American Prehistory, GIS for Anthropologists, and the Ohio Archaeological Field School. He has mentored students through field and laboratory research, though specific advisees are not listed. His editorial work includes major volumes on the Eastern Fluted Point Tradition, highlighting his leadership in the field. He is actively involved in research teams at the Olorgesailie Basin in Kenya and conducts fieldwork in the Roanoke River Valley and Southeastern Ohio. These projects integrate geoarchaeological, lithic, and spatial analyses to explore early human innovation and adaptation.

Evangelos E. MiliosView profile

Professor

• Visual Text Analytics
• Modelling and Mining of Networked Information Spaces
• Text Mining
• +8 more

Evangelos E. Milios is a Professor in the Faculty of Computer Science at Dalhousie University , Halifax, Nova Scotia. He has been a faculty member since 1998 and leads the MALNIS (Machine Learning and Networked Information Spaces) research group. He is affiliated with the Institute of Big Data Analytics and served as Scientific Director of DeepSense , an innovation hub for ocean data analytics. Education: PhD in Electrical Engineering and Computer Science, MIT (1986) SM & EE, MIT (1983) Dipl. Eng. in Electrical Engineering, NTUA, Greece (1980) His research focuses on visual text analytics, text mining, graph mining, social network analysis, and machine learning . He has made significant contributions to modeling and mining of networked information spaces, with applications in data science and AI. The recent publications reflect a strong trend in data mining, robotics, pattern recognition, and semantic analysis , particularly in log analysis, pose estimation, and information retrieval. His work bridges theoretical algorithms with practical applications in robotics and web technologies. Scientific Awards and Honors: Distinguished Research Professor (2017–2022) Killam Chair in Computer Science (2006–2011) Senior Member, IEEE Professional Engineer, Ontario (1998–2024) He has served in key administrative roles including Associate Dean, Research (2008–2017) and Director of the Graduate Program (1999–2002) . He has supervised numerous graduate students and taught a wide range of courses in AI, machine learning, data science, and networking. His research is supported by major grants and collaborations, including NSERC and industry partnerships. Research Labs and Teams: MALNIS – Focuses on machine learning and networked information spaces. DeepSense – Ocean data analytics and AI innovation. Institute of Big Data Analytics – Cross-disciplinary big data research.

• Perception and Experience of Art
• Effects of Observation on Behavior
• Social Perception
• +4 more

Vera M. Hesslinger is a Researcher at the Department of General Psychology and Methodology , Faculty of Human Sciences, Otto-Friedrich-Universität Bamberg. She earned her PhD in Experimental Psychology from Johannes Gutenberg University Mainz , supervised by Univ.-Prof. Dr. Heiko Hecht. Her work focuses on the perception and experience of art , cognitive maps , and social perception dynamics . Research Interests : Art perception, cognitive processing of visual ambiguity, social factors in aesthetics, and psychophysical analysis of color and depth perception. Key Contributions : Co-authored studies on the Mona Lisa’s 3D implications, #TheDress color perception, and social conformity in aesthetic judgments. Explored semantic instability in art and cognitive mapping. Recent Trends : Her 2022-2023 publications examine analytic vs. synthetic art perception and cross-cultural emptiness in architecture , reflecting a blend of experimental psychology and applied aesthetic research. Teaching : Conducts seminars on perception and observation exercises for BSc Psychology students, emphasizing empirical methods. Contact : Located at Markusplatz 3, Bamberg; office hours by appointment via email vera.hesslinger@uni-bamberg.de .

• Artificial Intelligence
• Data Science
• Computer Vision
• +6 more

Niklas Beuter is a Professor of Artificial Intelligence and Data Science at TH Lübeck, Germany, within the Department of Electrical Engineering and Computer Science. He has been in this position since 2023, contributing to both research and education in AI and computer vision. His educational background includes a Diplom in Computer Science with a focus on robotics from Universität Bielefeld, completed with distinction, followed by a Ph.D. from the same institution in 2011. His doctoral research centered on 3D human detection and tracking for mobile robotic platforms, supporting situation awareness in dynamic environments. Beuter's research is deeply rooted in artificial intelligence, computer vision, and robotics , with a focus on dynamic 3D scene analysis, human-robot interaction, and autonomous systems . His work bridges theoretical models with real-world applications, particularly in autonomous driving and intelligent robotic perception. He has led research teams in industry, demonstrating strong leadership in applied AI. The trend in his publications reflects a consistent focus on perception systems for robots and vehicles , evolving from foundational work in 3D reconstruction and gesture-based interaction to advanced topics like pedestrian intent forecasting using deep learning. His contributions span top conferences such as IEEE ICRA, CVPR, and Intelligent Vehicles, indicating sustained engagement with the core AI and robotics communities. While no formal scientific awards are listed in the provided text, his leadership roles and publication record reflect significant professional recognition. He actively supervises student theses and invites students to register for thesis topics via email, indicating an ongoing commitment to mentoring. Although no specific grants are mentioned, his industrial and academic research leadership suggests involvement in funded projects. He is a member of research groups including CoSA and serves as Deputy Head of ISy, showing active participation in institutional research organization. His research has been conducted in collaboration with teams at Universität Bielefeld, Daimler Research Center, and Robert Bosch GmbH, reflecting a strong interdisciplinary and industry-academia network. His work continues to influence both academic research and industrial applications in AI and autonomous systems.

• Biomedical Engineering
• Medical Imaging
• Cancer Research
• +7 more

Amoon Jamzad is an Adjunct Assistant Professor at the School of Computing, Queen's University, and a postdoctoral fellow at Med-I Lab. He holds a BSc in Electrical Engineering (Electronics) from University of Tehran (2007), an MSc in Biomedical Engineering (2010), and a PhD in Biomedical Engineering (2015). His doctoral research focused on noninvasive ultrasound analysis of kidney stones. He later served as a guest lecturer and lab instructor at University of Tehran for 3 years before joining Queen's University in 2019. BSc: Electrical Engineering (Electronics), University of Tehran (2007) MSc: Biomedical Engineering, University of Tehran (2010) PhD: Biomedical Engineering, University of Tehran (2015) Dr. Jamzad's research centers on cancer cell detection, particularly in developing ultrasonic and optical spectroscopic devices for surgical margin detection. His work integrates advanced machine learning techniques with clinical applications, focusing on breast and prostate cancer surgery. He has pioneered the use of mass spectrometry imaging for cancer margin assessment and developed open-source platforms like ViPRE and MassVision for AI-driven medical data analysis. His recent publications demonstrate expertise in self-supervised learning, domain adaptation, and uncertainty quantification within medical imaging contexts. While no specific awards are mentioned, his contributions to surgical oncology tools and multi-center prostate cancer studies indicate significant clinical impact. He has also explored temporal enhanced ultrasound for composite defect detection and electrosurgical cautery state recognition through deep learning.

Henrike SchmitzView profile

Lecturer

• Textile Design
• Sustainable Textile Production
• Material Science
• +3 more

Henrike Schmitz is a Lecturer in Textile Design at Burg Giebichenstein Kunsthochschule Halle since 2023. Her work bridges transformative creative processes in the textile industry, focusing on recycling methods and implementation strategies in knitted structures, alongside conceptual exploration of material situationships and regional production in areas with local textile expertise. Education: MA in Textile and Surface Design from Kunsthochschule Weißensee Berlin and Swedish Textile School in Borås. Previous Roles: Cultural Anthropology of Textiles Lecturer at TU Dortmund; Editorial Manager for textil trainer project at TU Chemnitz; Process Engineer at SOEX. Her research focuses on sustainable textile innovation , combining technical machine-based design with conceptual material studies. She integrates her phd research on circular textile systems into teaching through initiatives like the highschulöffentliche Jourfixe, which diffuses artistic research into curricula. She is active in the Design Faculty Council and Library Committee at Burg Giebichenstein. Contact: schmitz@burg-halle.de | Portfolio

Tracy L. Kijewski-CorreaView profile

Professor

• Civil Infrastructure Engineering
• Natural Hazard Assessment
• Disaster Mitigation
• +5 more

Tracy L. Kijewski-Correa is the William J. Pulte Director of the Pulte Institute for Global Development and Academic Director of the Integration Lab (i-Lab) at the University of Notre Dame's Keough School of Global Affairs. She holds a joint appointment as Professor of Civil Engineering and Global Affairs in the Department of Civil and Environmental Engineering & Earth Sciences. Her research focuses on civil infrastructure challenges in both developed and developing contexts, with particular emphasis on natural hazard assessment and mitigation. A co-founder of Engineering2Empower (E2E), she has developed comprehensive strategies for sustainable housing in Haiti, integrating community-led innovation and market-based solutions. Her work spans multiple regions including Haiti, United States, Latin America, Middle East, South Asia, and South Pacific/Oceania. Kijewski-Correa's recent publications demonstrate a clear trend toward leveraging open data and computational approaches for high-fidelity regional loss estimations, particularly for hurricane risk assessment. Her work increasingly integrates computer vision, Bayesian data integration, and component-level fragility modeling to advance the precision of disaster impact predictions while maintaining computational tractability across large building portfolios. Kellogg Institute Faculty Fellow (since 2011) Her research has been supported by multiple grants including projects focused on climate adaptation in Bangladesh and Haiti, community-driven development in Haiti, post-disaster sheltering programs, and technology incubators for sustainable development. As director of the Pulte Institute and Academic Director of the i-Lab, she leads interdisciplinary teams working at the intersection of engineering, global development, and disaster resilience.

• Computer Vision
• Mobile Devices
• Assistive Technology
• +3 more

Dr. Juan Manuel Sáez Martínez is a full professor in the Department of Computer Science and Artificial Intelligence at the University of Alicante's Higher Polytechnic School II. With a PhD in Computer Engineering and over two decades of academic experience since 2000, he specializes in Computer Vision and Mobile Device Applications for accessibility, particularly for the blind and visually impaired. His groundbreaking NaviLens project—a digital signage system patented internationally by the University of Alicante and licensed to Neosistec SL—represents a significant contribution to assistive technology. Teaching experience across 15+ years in programming fundamentals, computer systems, and internships for telecommunications and multimedia engineering Supervised one PhD thesis on structural similarity in object recognition Active in public research projects including airport navigation systems and airborne obstacle detection for the visually impaired His research interests focus on computer vision algorithms , stereo-based wearable devices , and ultra-efficient artificial vision systems for mobile platforms . Recent work includes biomedical informatics applications like 3D obstacle detection and accessibility-oriented UI design. He has participated in 10+ competitive public research projects (2016-2021) while contributing to technology transfer initiatives. Teaching contributions include 4 quinquennials (five-year terms) and 14+ years of instruction in Programming Fundamentals I for Telecommunication Sound and Image Engineering. Notable collaborations include co-authorship with Dr. F. Escolano on entropy-based SLAM algorithms and Gaussian mixture models for image processing. Current research emphasizes practical applications through the Mobile Vision Research Laboratory (MVRLab) .

ALVARO GIL GONZALEZView profile

Professor

• Materials Science
• Soil Chemistry
• Catalysis
• +4 more

Professor Alvaro Gil Gonzalez is affiliated with the Higher Technical School of Engineering at the University of Santiago de Compostela . As a researcher at the Materials Institute (iMATUS) and member of the Strategic Grouping in Materials (AEMAT) , he specializes in Soil Science and Agricultural Chemistry while leading research in ceramics, industrial materials, and advanced manufacturing techniques through his leadership of the CMInd research group. PhD in Chemistry (University of Santiago de Compostela, 2000) Focus on 3D printing, catalytic materials, and sustainable construction Active in European research projects (2007–2023) His research interests span: 3D Printing of functional ceramics and catalytic systems Catalysis for chemical reactions and environmental applications Sustainable Materials using agricultural waste (argan shells, wheat straw) Ceramic Science including alumina composites and photonic crystals Environmental Engineering through industrial waste recycling Recent publications (2017–2025) demonstrate expertise in: 3D-printed catalytic systems Waste-to-resource material design Graphene-oxide composites Metal-free photocatalysis Nanostructured healthcare materials Photonic crystal fabrication As a faculty member at USC, he combines academic leadership with experimental innovation in advanced material synthesis and characterization techniques.

• Applied Electromagnetics
• Computational Electromagnetics
• Metamaterials
• +9 more

Francisco Javier Falcone Lanas is a Professor in the Department of Electrical, Electronic and Communication Engineering at the Public University of Navarre. He is affiliated with the Institute of Smart Cities and leads research in the Communication, Signals and Microwaves research group. He also participates in the Doctoral Program in Communications Technologies, Bioengineering, and Renewable Energy. His research focuses on applied and computational electromagnetics, with specializations in: Analysis and design of complex electromagnetic media and metamaterials Design of communication devices (filters, diplexers, couplers, antennas) Implementation of devices on flexible/paper substrates Wireless power transfer systems Computational electromagnetic code development (FDTD, 3D Ray Launching, Radar RCS) Implementation of devices for PLMN, WSN, LPWAN and Radar systems Radioelectric analysis at physical layer and system level His recent publications demonstrate a strong focus on millimeter-wave technology, MIMO antenna systems, 5G/6G communications, and wireless sensor networks. His work often addresses optimization challenges related to energy consumption, interference handling, and capacity/coverage in communication systems. He has made significant contributions to the fields of metamaterials and their application in antenna design and performance enhancement. With an H-index of 58 in Scopus, Professor Falcone Lanas has established himself as a leading researcher in his field. His research has practical applications in various domains including: 5G/6G mobile communication systems Wireless body area networks Vehicle-to-everything (V2X) communications Wireless sensor networks for industrial applications Digital twin modeling for UAV communications Earthquake disaster management systems

• Artificial Intelligence
• Machine Learning
• Recommender Systems
• +6 more

Maria Salamo Llorente is an Associate Professor and researcher in the Department of Mathematics and Computer Science at the University of Barcelona (UB) . She leads the Teaching Innovation Group 'Innovació Docent en Matemàtiques i Informàtica' and is a core member of the Language and Computation Center (CLiC-UB) . Her career spans from postdoctoral work at University College Dublin to extensive contributions in artificial intelligence.

Mohamed AlyView profile

Professor

• Geospatial Technologies
• Remote Sensing
• Geohazard Assessment
• +3 more

Mohamed Aly is a Professor at the University of Arkansas, affiliated with the Department of Geosciences, Center for Advanced Spatial Technologies (CAST), Arkansas Center for Space & Planetary Sciences, and Environmental Dynamics (ENDY) Program. His research integrates Synthetic Aperture Radar Interferometry (InSAR), GIS, GNSS, and machine learning for geohazard assessment and environmental monitoring. Education: PhD in Geology (Radar Interferometry), Texas A&M University MS in Geology (Remote Sensing & GIS), Zagazig University Research focuses on InSAR for crustal deformation, machine learning in geospatial analysis, wildfire and landslide susceptibility modeling, and geothermal process monitoring. Recent publications emphasize multisensor data fusion and Google Earth Engine applications. Scientific awards include NASA EPSCoR Early Career Investigator, Fulbright College Teaching Commendation, and Academic Excellence from Texas A&M. He mentors students in geohazard research and geospatial technologies.

Simon LaurentView profile

Lecturer

• Signal Processing
• Acoustic Applications
• Mechanical Applications
• +5 more

Simon Laurent is a Lecturer at Le Mans University and a researcher at the Laboratory of Acoustics (LAUM) since 1994. His work bridges signal processing with acoustics and mechanical applications, focusing on innovative solutions for audio systems, biomedical diagnostics, and environmental monitoring. Research Focus: Non-linear systems (electrodynamic loudspeakers), biomedical signals (snoring), sensor arrays (fractional sphere antennae), and impact signal analysis (water droplets on complex liquids) Recent Publications highlight applications in precision livestock farming, adaptive audio systems, and acoustic diagnostics. Key trends span multichannel signal processing , bioacoustic monitoring , and non-linear acoustic modeling . Patents include improved microphone array designs for spatial sound capture. Collaborative work on droplet impact acoustics and mobile sound zones demonstrates interdisciplinary applications.

• Jewellery Design
• Digital Craft
• 3D Printing
• +5 more

Silvia Weidenbach is a Lecturer in Silversmithing & Jewellery at The Glasgow School of Art, where she pioneers the fusion of traditional craftsmanship with digital technologies such as haptic devices and artificial intelligence. She also holds teaching roles at the London College of Fashion. Education: Royal College of Art (PhD) Research Focus: Digital craft, AI applications in jewellery, museum-object interactions Her practice spans interdisciplinary collaborations with institutions like the Victoria and Albert Museum (first Gilbert Collection Artist-in-Residence), National Museum Scotland, and Germanisches Nationalmuseum. Key themes include sensory engagement with heritage, algorithmic ornamentation, and reinterpreting historical techniques through computational methods. Recent academic outputs demonstrate expertise in: Digital-physical interfaces in craft (2017-2024) AI applications in artistic production (2021-2024) Museum technology integration (2018-2023) Adornment theory and architectural parallels (2020-2024) Awards and recognitions include: First Gilbert Collection Artist-in-Residence Permanent collection inclusions at four major museums Active in exhibition curation and guest talks, she explores intersections between digital design, material culture, and institutional frameworks.

Juliet WiersemaView profile

Associate Professor

• Pre-Hispanic Art History
• Spanish Colonial Art History
• Andean Studies
• +7 more

Juliet Wiersema is an Associate Professor in the Department of Art and Art History at the University of Texas at San Antonio (UTSA), where she specializes in Pre-Hispanic and Spanish Colonial Art History within the College of Liberal and Fine Arts. Her research focuses on the visual and material culture of the Andes and Latin America, with an emphasis on cartography , indigenous resistance , colonial borderlands , and cultural heritage . She earned her Ph.D. in Art History and Archaeology from the University of Maryland (2010) and an M.A. from New York University’s Institute of Fine Arts (2002). Education: Ph.D., Art History and Archaeology, University of Maryland (2010) M.A., History of Art and Archaeology, Institute of Fine Arts, New York University (2002) Wiersema’s research bridges Pre-Hispanic Andean cultures with Spanish colonial visual practices. Her work on Moche architectural vessels redefines their role as 3D sacred space maps, while her forthcoming book on Spanish colonial cartography explores African autonomy and indigenous placemaking in Colombia’s Pacific Lowlands. Her Google Scholar profile highlights 2024 publications on colonial extraction and viceroyalty governance. Scientific Awards include the National Endowment for the Humanities Fellowship (2020-2021), John Carter Brown Library Residential Fellowship (2021-2022), and the University of Maryland Distinguished Dissertation Award (2010). She has taught courses on Mesoamerican Art, Andean Manuscripts, and study abroad programs to the Yucatan, emphasizing experiential learning. Grants from institutions like The Metropolitan Museum of Art (2011-2012) and The Smithsonian (2007-2008) have supported her work. Current projects include Ports of Plunder and Islands of Entanglement , analyzing English ‘pirate maps’ and Spanish nautical charts in the Pacific.