Alexei Efros is a Professor of Electrical Engineering and Computer Science at UC Berkeley , affiliated with the Berkeley Artificial Intelligence Research Lab (BAIR) . Previously, he was a faculty member at the Robotics Institute, Carnegie Mellon University , and a postdoc at Oxford University with Andrew Zisserman. His work spans data-driven computer vision , self-supervised learning , and applications to computer graphics , computational photography , and human-AI interaction . Research Themes : Self-supervised visual learning 3D scene understanding Vision-language multimodal systems Teaching : CS 180/280A: Intro to Computer Vision CS 280: Graduate Computer Vision CS 294-192: Visual Scene Understanding Recent Publication Trends : Focus on diffusion models and self-guidance 3D perception and rendering Interpretability of vision-language models Temporal and sequential learning Scientific Collaborations : Extensive partnerships with institutions like MIT, CMU, Stanford, and NVIDIA Mentorship of PhD students now at TTIC, OpenAI, Anthropic, and academia Labs & Teams : BAIR Lab (UC Berkeley) Collaborations with Adobe Research, Google, and NVIDIA
Hongyu Zhang is a Lecturer in the Department of Earth, Geographic, and Climate Sciences at the University of Massachusetts Amherst, where he contributes to the Geographic Information Science and Technology (GIST) program. He is based at the Mount Ida Campus and is actively engaged in research and teaching at the intersection of geography, technology, and ethics. Education: PhD in Geography, McGill University, 2024 MSc in Geography, Western University, 2017 Bachelor of Environmental Studies (BES) in Geomatics, University of Waterloo, 2015 (with minor in Computer Science and Diploma of Excellence in GIS) Hongyu's research focuses on geoprivacy , GeoAI , and the ethical dimensions of spatial data . He investigates how individuals disclose location information on social media, particularly in Chinese digital environments like Weibo, using mixed methods to understand the sociotechnical dynamics of privacy. His work aims to promote responsible spatial data science by bridging GIScience with human behavior and digital ethics. His recent publications and open-source contributions reflect a strong trend in social media analysis , geoprivacy discourse , and computational ethics . He develops tools and datasets to analyze privacy-related language and behavior online, with a focus on Chinese platforms. His work also extends to GIS education , where he emphasizes project-based learning to improve student employability in geospatial fields. Scientific Contributions: Development of lexicons for analyzing geoprivacy in Chinese social media Creation of datasets on microblog content and user comments Open educational resources in data science and GIS Research on algorithmic price discrimination and digital surveillance Hongyu is committed to open science and student mentorship. While no formal list of advisees is available, his teaching and project-based approach suggest active engagement with students. He has no listed scientific awards, but his research output and GitHub activity indicate a growing scholarly presence in geospatial ethics and digital society. He maintains an active research website and GitHub profile, where he shares code, datasets, and educational materials, reflecting a transparent and collaborative research philosophy.
Hartwig Henry Hochmair is a Professor of Geomatics at the School of Forest, Fisheries, and Geomatics Sciences , University of Florida, Fort Lauderdale Research and Education Center (FLREC). Since joining the Geomatics program in 2008, he has focused on spatio-temporal analysis, data quality assessment, and the application of Geographic Information Systems (GIS) to interdisciplinary challenges in transportation, natural resource management, and urban planning. His work bridges academic research with practical GIS tools, particularly through the use of freely available geospatial data sources like OpenStreetMap and USGS Topo Maps. Research Interests : Geomatics, GIS, spatio-temporal analysis, data quality evaluation, GeoAI, OpenStreetMap, invasive species monitoring, and urban canopy analysis. Teaching : Courses include SUR 3520 Measurement Science, SUR 4350/6536 Geodesy and Geodetic Positioning, SUR 5525 Least Squares Adjustment, SUR 5365 Digital Mapping, and SUR 6103 GIS Programming. Lab : Leads the Geomatics program at FLREC, focusing on geospatial data visualization, accessibility modeling, and network analysis. His recent publications emphasize the integration of AI in geospatial workflows, comparative studies of volunteered and authoritative street data, and pandemic-induced shifts in human mobility. While no formal awards are highlighted in the provided texts, his work frequently addresses environmental challenges, technological innovations in mapping, and open data accessibility.
José Losada Quintás serves as an Associate Professor in the Department of Public Law at the University of Las Palmas de Gran Canaria, specializing in Labor and Social Security Law within the Social and Legal Sciences branch. His academic profile demonstrates extensive involvement in graduate and undergraduate education, particularly in Labor Relations and Human Resources programs. His research focuses on contemporary labor law challenges including workplace technology integration, digital surveillance, and evolving employment models. Key interests span labor relations in the digital age, workers' rights protection, collective bargaining frameworks, and the legal implications of new work forms like platform economy roles. His work consistently addresses the intersection of traditional labor frameworks with modern technological and economic transformations. Analysis of his advised theses reveals consistent thematic focus on labor law adaptation to technological change, with predominant emphasis on workplace monitoring systems, digital privacy concerns, and regulatory responses to emerging employment models. The research output shows strong alignment with European jurisprudence, particularly CJEU doctrine, while addressing practical Spanish labor market challenges. As an academic advisor, he has supervised numerous graduate theses covering critical contemporary issues including ERTE mechanisms during the pandemic, workplace harassment frameworks, and the legal status of platform workers. His mentorship extends across both Master's Degree in Law and Labor Relations and Human Resources programs. His departmental affiliation with Public Law at ULPGC places him within a framework where legal scholarship directly engages with social protection systems and workers' rights enforcement mechanisms. Current research trajectories indicate growing focus on technological mediation in employment relationships and regulatory adaptation to digital workplace transformations.
Susana Sotelo Docío is a Research Fellow at the Universidade de Santiago de Compostela , affiliated with the Faculty of Philology and the S3 Laboratory . Her work centers on Natural Language Processing (NLP) with applications in linguistic diversity , cultural narratives , and computational institutionalism . Email: susana.sotelo.docio@usc.es Phone: +34 881816397 Research Interests : Susana specializes in Named Entity Recognition (NER) , generative language models , and machine translation , with a focus on minoritized languages like Galician and Portuguese. Her projects include creating gold-standard corpora for cultural analysis and tourism, developing open-source generative models for Galician-Portuguese, and analyzing far-right political movements in Iberia using computational methods. Publications & Trends : Her work spans computational linguistics , political science , and digital humanities . Recent contributions include interdisciplinary studies combining large language models with historical institutionalism , alongside technical advancements in NER systems and continual pretraining for multilingual NLP. Thesis : In her 2024 doctoral thesis, she explored NLP-based analysis of cultural narratives about Santiago de Compostela, emphasizing how collective perceptions shape tourism practices. Labs & Teams : She collaborates with the S3 Laboratory and contributes to projects involving Pablo Gamallo , José Ramón Pichel , and other researchers in language technologies.
Carlos Rivas Costa is a Part-Time Lecturer at the Telematics Engineering Department under the School of Telecommunications Engineering at the University of Vigo, Spain. His work focuses on the intersection of telematics, human-computer interaction, and assistive technologies, particularly through innovative applications of smart TV systems. Educational Background: PhD in Telematics Engineering from the University of Vigo (2014) His research explores improving quality of life for dependent and disabled individuals via home automation, tele-assistance, and TV-based platforms for healthcare, education, and cognitive evaluation. Key trends in his publications include accessibility, semantic web integration, and gamified cognitive assessment tools. Scientific Awards: No awards listed
Scott Emrich is an Associate Professor in the Department of Electrical Engineering and Computer Science at the University of Tennessee, Knoxville. He also serves as the Interim Program Director for the UT-Oak Ridge Innovation Institute (UT-ORII) Ph.D. program in Data Science and Engineering. Dr. Emrich earned his B.S. in Biology and Computer Science from Loyola College in Maryland, followed by a Ph.D. in Bioinformatics and Computational Biology from Iowa State University. Upon completing his Ph.D., he received both the ISU Research Excellence Award and the university-wide Zaffarano Prize for Graduate Research. Before joining the University of Tennessee, he was the Director of Bioinformatics at the University of Notre Dame with faculty appointments in Computer Science and Engineering and Biological Sciences. His research focuses on genome-centric bioinformatics, parallel and distributed computing, and the integration of biological applications with second- and third-generation sequencing technologies. Dr. Emrich has published over 75 peer-reviewed publications in high-impact venues including Science (with 2 covers), PNAS, Nature, and Genome Research. His work has been cited over 14,300 times according to Google Scholar. His research group has introduced novel biological problems to the computer science community and developed bioinformatics frameworks that have contributed to high-impact publications in genomics. Dr. Emrich's publications demonstrate a strong trend toward integrating machine learning and AI approaches with traditional bioinformatics methods, particularly in codon usage analysis, genome assembly, and vector biology. His recent work shows increasing sophistication in language models for biological sequences and reference-free analysis techniques. His scientific awards include: 2008 Zaffrano Prize for Graduate Research ISU Research Excellence Award Dr. Emrich has advised numerous students throughout his career, including current PhD students in Genome Science and Technology and Data Science programs. His research has been supported by multiple NIH awards, including leadership roles on a NIAID contract (VectorBase) and a 2017-funded P01 grant on malaria genetics. Additional funding has come from the U.S. Department of Agriculture (USDA), the Department of Energy (DOE), and the state of Tennessee. He leads a research group focused on developing scalable computational tools that advance our understanding of genome biology. His group has introduced novel biological problems such as the influence of codon usage on protein folding to the broader computer science research community.
Serkan Özbay serves as an Associate Professor in the Department of Electrical and Electronics Engineering at Gaziantep University's Faculty of Engineering, Turkey. With academic appointments since 2003, he progressed from Lecturer to his current position (2024), maintaining continuous affiliation with the institution where he also completed all his degrees. His career demonstrates deep institutional integration and vertical advancement within the same department. His academic credentials were entirely earned at Gaziantep University: Doctorate (2007-2015): Institute of Science, Electrical and Electronic Engineering Master's (2003-2006): Institute of Science, Electrical and Electronics Engineering (Thesis) Licence (1997-2002): Faculty of Engineering, Electrical and Electronics Engineering Özbay's research centers on signal processing and machine learning applications, with significant contributions to computer vision for medical diagnostics (sinus segmentation, lung cancer detection) and security systems (image/video forgery analysis). His work bridges theoretical algorithms with practical implementations in edge computing and biomedical devices, evidenced by projects like real-time fall detection systems and metamaterial antennas. Recent publications show intensified focus on deep learning since 2020, particularly convolutional neural networks for medical imaging and object tracking. His publication trajectory reveals strategic interdisciplinary expansion: early work (2007-2015) concentrated on spectrum sensing and wireless communications, while post-2020 output pivoted toward AI-driven medical applications and digital forensics. Approximately 70% of his 22 publications (2019-2023) involve deep learning implementations, with strong institutional collaboration patterns—85% co-authored with Gaziantep University researchers. Journal publications predominantly appear in Q2-Q4 SCI-indexed engineering journals, while conference papers target international venues in computer vision and biomedical engineering. As an academic advisor, Özbay has supervised 16 graduate theses (1 PhD, 15 Master's) between 2017-2025, with 11 completed in 2020-2023 alone. Current advisees include students developing Raspberry Pi-based plate recognition systems and real-time fall detection solutions. He additionally mentors 15 undergraduate students in senior design projects annually, as evidenced by 2024 EEE498/499 project meetings. Administrative leadership includes Deputy Head of Department (2016), Erasmus Coordinator (2015-2016), and Institute Board membership (2020-2023).
Yunus Emre Tansü is an Associate Professor at Gaziantep University's Faculty of Arts and Sciences, Department of History, specializing in General Turkish History. He has served in this position since 2019, following his tenure as a Doctor Lecturer at the same institution from 2004 to 2019. Previously, he worked as a Lecturer at Ege University's Department of Atatürk's Principles and Revolution History from 1996 to 2004. Dr. Tansü completed his educational journey at Hacettepe University, earning his History Doctorate from the Institute of Social Sciences (1994-2002), a Master's degree in History with thesis (1990-1993), and a Bachelor's degree in History from the Faculty of Letters (1986-1990). His research interests span multiple dimensions of Turkish history with particular focus on General Turkish History , Pre-Islamic Turkish History , Turkish Cultural History , and Turkish Peoples and Communities . His scholarly work demonstrates deep engagement with Turkic civilizations across Central Asia, Anatolia, and the broader Eurasian context. Dr. Tansü has made significant contributions to understanding Seljuk history, pre-Islamic Turkic societies, migration patterns, and cultural interactions between Turkic peoples and neighboring civilizations, with notable expertise in funeral customs, women's roles in nomadic societies, and historical source analysis. His extensive publication record reveals consistent scholarly productivity across multiple historical subfields. Recent works (2024-2025) demonstrate continued focus on Seljuk history, Turkic genealogy, Mongol Empire studies, and Samanid Dynasty research. His scholarship shows a methodological approach that combines historical source analysis with cultural anthropology, particularly evident in his studies of Turkic funeral customs and women's roles in nomadic societies. The interdisciplinary nature of his work is apparent in publications addressing both historical subjects and contemporary issues like migration and refugee integration. Dr. Tansü has authored or co-authored numerous scholarly works including 49 book chapters, 64 articles, and 62 conference papers. His publications appear in both Turkish and international venues, demonstrating his commitment to contributing to global scholarly discourse while maintaining strong connections to Turkish academic traditions. His editorial work includes multiple volumes of the 'Tarih Alanında Seçme Yazılar' (Selected Writings in History) series. His academic career includes significant research projects such as 'Gaziantep Kozdere Aktas Mameyler Village Turkmen Communities Historical, Social and Cultural Status Research' (2013-2017) and 'Gaziantep Elbeyli Turkmen El Bacuz Tribe Historical, Social and Cultural Status Research' (2014-2017), where he served as principal investigator. He has also contributed to educational development projects including 'Course Passing and Credit System Research' and 'Ministry of National Education Program Studies.' Dr. Tansü's scholarly network extends across Turkish and international academic institutions, with collaborations evident in his co-authored publications and participation in numerous international conferences throughout Turkey, Central Asia, and Europe, demonstrating his active engagement in the global historical research community.
Dr. Richard Lemoine-Rodríguez is a postdoctoral researcher at the Institute of Geography and Geology under the Chair of Remote Sensing , Faculty of Philosophy, University of Würzburg. He also collaborates with the German Aerospace Center (DLR) . His interdisciplinary research bridges urban ecology , geoinformatics , and digital humanities to advance understanding of cities as complex socio-ecological systems. Education: PhD in Geography (2017-2022, Ruhr-Universität Bochum) MSc in Geography (2013-2015, UNAM) BSc in Biology (2008-2012, Universidad Veracruz) His methodological expertise includes multimodal data analysis , social media analytics (Twitter/BlueSky), NLP , and remote sensing techniques for studying urban heat islands, green infrastructure, land use changes, and socio-spatial inequalities. Current work focuses on the Geolingual Studies project (since 2022), exploring language-urban morphology interactions. Key research partnerships include collaborations with: Jakob Schwalb-Willmann (Earth Observation Research Cluster) Hannes Taubenböck (DLR/Technical University Munich) John F. Mas (UNAM) Luis Inostroza (University of Hamburg) Recent publications examine: Urban heat patterns through social media and satellite data Global urban form homogenization Migrant mobility analysis via Twitter Geospatiality of text data Ecological integrity assessments
Professor Kim Jong-hyun serves in the Department of Information Security at Sejong University, directing the Network Security Lab which develops core security technologies for cyberattack response, cloud security, and mobile communications security in evolving digital environments. The lab actively participates in international standardization efforts. His research spans critical cybersecurity domains: Network and 5G Security Drone (UAV) Security Systems AI-Driven Malware Detection Cloud Infrastructure Protection Mobile Communications Vulnerability Analysis Base Station Authentication Mechanisms 2024 publications reveal concentrated research on wireless security challenges, particularly fake base station threats in 5G networks, container security in cloud-native environments, and deep learning applications for UAV location integrity. His work bridges theoretical models with practical implementations for next-generation network security. No scientific awards are documented in the provided materials. Professor Kim actively supervises graduate research through Master's thesis and Doctoral Dissertation courses in the Graduate School of Information Security, while teaching specialized courses including Mobile Communications Security and Advanced C Programming. His advising focuses on emerging security threats in telecommunications infrastructure. The Network Security Lab (Se212C) functions as an operational hub for hands-on security research, with interview procedures requiring direct email contact for prospective students.
Gitta Astrid Hildegard Kutyniok is a Professor in the Department of Physics and Technology at UiT The Arctic University of Norway. Her research spans machine learning, applied mathematics, and signal processing, with a focus on theoretical foundations and practical applications.
Ivan Tot is an Associate Professor at the University of Defense's Military Academy in Belgrade, with a career spanning roles as Teacher (1999-2010) and Assistant Professor (2015). His academic foundation includes a Doctorate from the Military Academy (2010), a Master's from the University of Kragujevac (2008), and an undergraduate degree from the Military Technical Academy (1999). His research bridges Information Systems , Biometric Verification , and IoT Security , with applications in defense logistics, mobile communications, and healthcare technology. Recent publications explore biometric maternity verification, encrypted SMS applications, and military data-gathering techniques. He contributed to key projects: New information technologies for analytical decision-making (Ministry of Science, 2010-2016) Performance Analysis of Tactical Telecommunications Systems (Military Academy, 2010-2015) Database models for logistics decision support (Military Academy, 2013-2015) He authored the textbook Information Systems for Decision Support (2013) and maintains a focus on practical, security-oriented solutions.
Dr. Markus Nielbock serves as Head of Science Media Service at the Center for Astronomical Education and Public Relations, part of the House of Astronomy (HdA) affiliated with the Max Planck Institute for Astronomy (MPIA) in Heidelberg. With a background in physics and astronomy research, he transitioned to focus on science communication and education after serving as project scientist for the Herschel Space Telescope. His research interests center on astronomy education, particularly the development of didactic materials for secondary schools, public relations for astronomical institutions, and the ESO Science Outreach Network. He actively supervises students teaching physics and organizes numerous public lectures and events to engage the community with astronomy. Dr. Nielbock's publication record shows a strong focus on educational materials, with recent work emphasizing exoplanet science, celestial navigation techniques, and space exploration education. His 15 most recent publications (2018-2024) demonstrate consistent output in reputable educational journals like Science in Schools and astroEDU, covering diverse topics from exoplanet atmospheres to historical navigation methods. As an educator, he has taught the block course 'Introduction to Astronomy for Secondary School Teachers' annually since 2016, developed numerous instructional videos on astronomical concepts, and created extensive teaching materials through the 'Space for Education' project. His outreach extends to radio interviews discussing recent astronomical discoveries and maintaining an active social media presence focused on astronomy communication.
Myriam Servières is a Professor of Computer Science at Centrale Nantes, where she has taught since 2006. She currently serves as Director of AAU-CRENAU and Deputy Director of the AAU Laboratory. Her academic journey includes a PhD in Applied Computer Science from the University of Nantes (2002-2005) and an engineering diploma from École Centrale de Nantes (1999-2002). Her research explores the intersection of digital technology and urban environments, with key interests in: Geolocation : Developing advanced positioning systems for urban navigation Augmented/Virtual Reality : Creating multisensory urban simulations 3D Modeling : Reconstructing and analyzing urban spaces Citizen Sensing : Engaging communities in environmental monitoring Her recent publications demonstrate strong focus on VR-based urban perception analysis, pedestrian navigation systems, and geospatial data processing. Work frequently appears in premier journals like ISPRS and IEEE Transactions . She leads significant initiatives including the IRSTV 'Urban Tomography' research axis and the '3D geospatial data' prospective action. Her teaching spans core computer science courses and specialized programs in digital cities. At AAU-CRENAU, she directs research on computational urban analysis, collaborating across disciplines to develop new methods for understanding and designing urban spaces through digital mediation.
.png)
