Morteza Karimzadeh is an Assistant Professor of Geography at the University of Colorado Boulder, with courtesy appointments in Computer Science and Information Science. He directs the Geospatial Human-Centered Artificial Intelligence Lab (GeoHAI) and serves as Faculty Fellow at the Institute of Behavioral Science and CU Population Center. His research interests span geospatial data science, machine learning, human-centered visual analytics, and remote sensing applications in public health and environmental science. Key domains include sea ice mapping, chronic disease epidemiology, renewable energy systems, and digital humanities. Publication trends reveal 15 recent works (2023-2025) focused on: Sea ice segmentation & cryospheric monitoring PM2.5 pollution and respiratory health Spatiotemporal disease forecasting Geovisualization tools for dengue and zika Human mobility analysis via wearable devices Energy grid data visualization He actively supervises graduate students including Sepideh Jalayer and Zhongying Wang, and has received research funding from National Science Foundation , NASA , NREL , NIH , and Population Council .
Jia Liang is a researcher at Henan Polytechnic University's School of Electrical Engineering and Automation, with a focus on Machine Learning , Compressed Sensing , and Privacy-Preserving Techniques . His work bridges Computer Science and Signal Processing , particularly in Radar Imaging and Medical Image Analysis . Key Collaborations: Di Xiao, Ying Luo, Qun Zhang, Hui Huang Technical Expertise: Federated Learning, SAR Imaging, Compressive Sensing, Adversarial Learning His research emphasizes secure data processing in IoT and cloud environments, with recent innovations in cross-disciplinary applications like biosignal analysis for cysticercosis diagnosis . Publications span top venues including IEEE Transactions on Aerospace Systems and Remote Sensing . Notable trends include privacy-preserving machine learning for federated systems and 3D radar imaging of rotating targets, alongside medical imaging solutions for chest radiographs and optical coherence tomography .
Emmanuel Agu is a Professor in the Computer Science Department at Worcester Polytechnic Institute. He leads the Clinical AI Research (CARE) Lab and has advised numerous Major Qualifying Projects (MQPs) and Interactive Qualifying Projects (IQPs) focused on mobile computing, wireless networking, and computer graphics. Agu's work bridges academic research with practical applications, including collaborations with industry sponsors like Fidelity and Endicia. Current affiliations: Professor, Computer Science Department, WPI Research Lab: CARE Lab Research Interests His research primarily addresses challenges in wireless networks, mobile graphics optimization, and location-aware systems. Key themes include latency analysis in networked games, signal strength calibration for indoor geolocation, and efficient rendering techniques for resource-constrained devices. Scientific Awards Best MQP in Computer Science Department, 2003-2004 (Locus: Wireless LAN Location Sensing) Nominated for Best MQP in Computer Science Department, 2003-2004 (Rendering Structural Colors) Advising and Collaborations Agu has mentored over 40 students across interdisciplinary MQPs/IQPs since 2002. Projects include Mobile Social Networking , Financial Computations on the GPU , and Emergency Medical Services Workflow Automation . Collaborations span departments (e.g., Electrical and Computer Engineering, Management and Information Systems) and industry partners.
Lecturer Sarvas Risto is affiliated with Aalto University's Department of Computer Science within the School of Science. His research focuses on digital media studies, human-computer interaction (HCI), and the societal implications of technology. Key areas include social media analysis, digital saturation, metadata creation, and citizenship in the digital age. Risto has contributed to over 20 peer-reviewed publications since 2001, with notable work exploring photography's technological evolution, mobile social interaction platforms, and user-centric design principles. His research activities include organizing academic events like the 2021 Final Seminar of the 'Everyday Media Imagined by Teenagers' project and presenting at international conferences on topics such as digital natives' connectivity experiences and citizenship skills. While primarily focused on academic contributions, his work bridges technical innovation with sociocultural analysis, addressing both practical and ethical dimensions of emerging technologies. Risto has collaborated on projects like the RISE initiative, which explored semantically supported media services, and the DIMAS system for distributing multimedia content on peer-to-peer networks. His ongoing interests span future print media design, metadata systems for digital photography, and the legal aspects of user-generated content.
K. David Hyrenbach is a Professor of Oceanography in the Department of Natural Science at Hawai’i Pacific University’s College of Natural and Computational Sciences. He teaches courses in Hawaiian natural history, biometry, seabird ecology, marine conservation biology, and advanced research methods in marine science. Education: Ph.D. in Oceanography, Scripps Institution of Oceanography (2001) B.S. in Ecology, Behavior & Evolution, University of California San Diego (1993) Dr. Hyrenbach's research centers on marine conservation and the ecology of far-ranging pelagic vertebrates, including seabirds, sea turtles, cetaceans, and tunas. He investigates how oceanographic processes such as upwelling and convergence create productive habitats, and how this knowledge can inform conservation strategies like gear modifications, area closures, and Marine Protected Areas. Seabirds serve as key bio-indicators in his work, reflecting broader ecosystem health. His team, the Pelagicos Team , conducts field and analytical research on marine predator movements and foraging ecology, with active projects tracking Wedge-tailed Shearwaters and assessing the impacts of artificial light at night (ALAN) on seabird groundings in Hawai‘i. This research has been featured in public media, highlighting its societal relevance. Dr. Hyrenbach mentors students through independent research, master’s theses, and capstone projects. He leads ongoing research initiatives supported by fieldwork and collaborations across the North Pacific. Lab and Research Group: Pelagicos Team – focused on ecology and conservation of large marine vertebrates Research sites include the Freeman Seabird Preserve, O’ahu, Hawai’i Projects involve geolocator tracking, habitat modeling, and threat mitigation
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.
Dr. Henry M. Streby is an Associate Professor of Ecology in the Department of Environmental Sciences at the University of Toledo's College of Natural Sciences and Mathematics. He holds a Ph.D. from the University of Minnesota (2010) and B.S./M.S. degrees from Ohio University. His research focuses on avian ecology, wildlife conservation, and evolutionary biology, with particular emphasis on migratory connectivity, hybridization, and novel field methodology. Ph.D., Ecology - University of Minnesota (2010) M.S., Ecology - Ohio University B.S., Ecology - Ohio University Dr. Streby's lab produces actionable science for biodiversity conservation while advancing understanding of avian behavioral evolution. Current projects include red-headed woodpecker demography, energy development impacts on birds, and collaborative work with the Black Swamp Bird Observatory. His methodological innovations span geolocator deployment, radio-telemetry, and full-season productivity modeling. His 15 most recent publications highlight trends in migration ecology, hybridization genetics, and habitat conservation. Key themes include migratory connectivity in Vermivora warblers, spatial ecology of turtles, and behavioral adaptations in Golden-winged Warblers. Collaborative work spans genomic analysis, climate impacts, and methodological improvements. Scientific Awards: 2021 President's Award for Excellence in Scholarly Activity (University of Toledo) 2018 Wildlife Society's Wildlife Publication Award 2013 Cooper Ornithological Society Young Professional Award NSF Postdoctoral Fellowship Out To Innovate Career Development Fellowship Louis Agassiz Fuertes Grant Graduate Dean's Fellowship (University of Toledo) Dr. Streby has mentored 12 graduate students including Gunnar Kramer (PhD 2021) and Kyle Pagel (MS 2019). His lab maintains a strong presence at professional ornithological and ecological societies, with extensive fieldwork in the Great Lakes, New Mexico, and Midwest oak savannas.
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.
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.
Prof. Dr. Ulrich Ebner-Priemer is a Full Professor and Chair of Applied Psychology at the Karlsruhe Institute of Technology (KIT), where he leads the Mental mHealth Lab within the Institute for Sports and Sports Science. His work focuses on developing and applying mobile health approaches for mental disorders, with a methodological emphasis on Ambulatory Assessment (also known as Ecological Momentary Assessment, Experience Sampling Method, or digital phenotyping). He maintains a significant collaboration with the Central Institute of Mental Health (ZI) in Mannheim and leads research projects involving multiple German university hospitals. Prof. Ebner-Priemer's research spans several key areas: Assessment of momentary mechanisms in daily life through projects like EMPOWERYOU, STAR, START, and RELATER Long-term monitoring of illness trajectories in projects like S02 and A04 within CRC TRR 265 Development of mHealth interventions including TherapyBuilder and BipoLife Investigation of physical activity's effects on mental health and wellbeing Neurobiological correlates of everyday experiences using combined mobile and neuroimaging approaches His publication record reveals a consistent trajectory of high-impact research in digital mental health. Recent work explores how physical activity mitigates social isolation effects, neural correlates of social contact benefits, and green space impacts on mental wellbeing. His research covers diverse mental disorders including borderline personality disorder, ADHD, PTSD, bipolar disorders, depression, anxiety, eating disorders, and alcohol use disorder, with publications in Nature Neuroscience, JAMA Psychiatry, Lancet Psychiatry, and Science Advances. Major recognitions include: President of the Society for Ambulatory Assessment (SAA) Current chair of the ECNP network "Digital Health" Successful acquisition of CRC393 on Affective Disorders DFG funding for multiple collaborative research centers BMBF funding for numerous mHealth intervention studies As a mentor, Prof. Ebner-Priemer has supervised numerous doctoral students to completion, including Markus Reichert, Marco Giurgiu, Tobias Kockler, and Lena Wieland. His lab has developed a unique assessment ecosystem in partnership with movisens, featuring real-time analysis capabilities. The Mental mHealth Lab serves as central infrastructure for large-scale collaborative projects involving university hospitals in Marburg, Münster, Dresden, and Bonn, solidifying its position as a leader in European mental health technology research.
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