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Alison Hoyt serves as Assistant Professor of Earth System Science at Stanford University's School of Earth, Energy & Environmental Sciences, with a courtesy Center Fellowship at the Woods Institute for the Environment and membership in Bio-X. Her research program investigates biogeochemical cycle responses to human impacts, specializing in vulnerable carbon stocks within tropical and Arctic ecosystems. Dr. Hoyt's primary research focuses on soil carbon dynamics across global ecosystems, particularly examining how mineral-organic interactions control carbon persistence in tropical soils of Africa and Southeast Asia, and methane emissions from Arctic wetlands. Her work integrates field measurements with modeling approaches to understand carbon cycling in degraded peatlands, drainage canal networks, and climate-sensitive regions. She maintains an active research group focused on carbon cycle science, as evidenced by her group website carboncycle.stanford.edu . Analysis of her 15 most recent publications reveals consistent research themes across biomes: soil carbon stabilization mechanisms (72% of works), tropical peatland hydrology and carbon emissions (40%), Arctic wetland methane dynamics (13%), and global soil carbon data synthesis (20%). Her methodological approach combines radiocarbon dating, ramped thermal analysis, satellite remote sensing, and field measurements across diverse pedoclimatic regions. Dr. Hoyt actively mentors graduate students across multiple programs, serving as Doctoral Dissertation Reader, Co-Advisor, and Master's Program Advisor for nine students. Her teaching portfolio includes courses on ecosystem restoration, soil management for climate mitigation, climate change perspectives, and independent research supervision across Earth Systems Science and Environment & Resources programs. She contributes significantly to community data infrastructure through leadership in the International Soil Radiocarbon Database (ISRaD) and collaborative synthesis efforts addressing soil carbon data integration challenges. Her research directly informs climate mitigation strategies through understanding soil carbon vulnerability and peatland management impacts.

• Biogeochemistry
• Carbon Cycle
• Climate Change Impacts
• +5 more

Prof. Dr. sc. techn. Christoph Uhrhan is a faculty member at Furtwangen University , actively engaged in robotics research. His work focuses on robotics and flexible automation , particularly in industrial applications involving sheet metal bending , robot grippers , and human-robot interaction . With over 25 years of experience, his research spans tactile sensing, compliant mechanisms, and adaptive control systems. He maintains an office at Campus Furtwangen (Room: H 2.12) and can be contacted at Christoph.Uhrhan@hs-furtwangen.de . His research emphasizes user-oriented automation , combining passive and active features in robotic systems. Recent work includes object classification through force-sensitive fingertips using convolutional neural networks, while older contributions focus on mobile robotics and press brake automation. Key article trends show sustained focus on industrial robotics (1994-2022) with emphasis on tactile perception, compliant systems, and adaptive manufacturing. The work spans from foundational studies in sheet bending automation to modern CNN-based sensor interpretation.

• Robotics
• Flexible Automation
• Industrial Robotics
• +4 more

Paul Fortier is a Full Professor at the Department of Electrical Engineering and Computer Engineering , Université Laval, with a career spanning over three decades. His work focuses on Digital Communications , Internet of Things (IoT) , Cyber-Physical Systems , and Wireless Communication Systems , particularly exploring complexity-performance tradeoffs in hardware implementations. PhD in Electrical Engineering, Stanford University (1989) MSc in Statistics, Stanford University (1987) MSc and BSc in Electrical Engineering, Université Laval (1984, 1982) His research integrates Machine Learning with FPGA architectures for applications like real-time hand gesture recognition and hardware-in-the-loop simulation . Current projects include Advanced Digital Twin Development and Quantum-Resistant Communication Protocols under the Quebec Strategic Microsystems Group . Key contributions appear in IEEE Transactions on Vehicular Technology , IEEE Internet of Things Journal , and IEEE Transactions on VLSI Systems . He has secured major grants from Fonds de recherche du Québec and NSERC for initiatives like Hardware-in-the-Loop Simulators and Wireless Cybersecurity Research . Fellow, Engineering Institute of Canada Fellow, Canadian Academy of Engineering Senior Member, IEEE

• Digital Communications
• Internet of Things
• Cyber-Physical Systems
• +7 more

Yu Zhang serves as an Associate Professor in the Department of Computer Science and Engineering within the School of Computing and Augmented Intelligence at Arizona State University. His academic trajectory includes prior roles as a postdoctoral research scholar and research assistant professor at ASU, establishing him as a key contributor to robotics and artificial intelligence research. Education Ph.D. in Computer Science, University of Tennessee, Knoxville Research Focus Dr. Zhang's work centers on distributed robot systems, human-robot interaction, and multi-agent planning, with emphasis on human-aware decision-making frameworks. He develops explicable planning methodologies to enhance robot transparency and safety in collaborative environments, exploring implicit communication techniques like virtual shadows to maintain team situation awareness during tacit human-robot interaction. Publication Trends Analysis of his 15 most recent publications (2021-2025) reveals a dominant focus on explicable and safe planning for human-robot teams, constituting over 60% of his output. Key innovations include virtual shadow rendering for awareness projection, reward adaptation via Q-manipulation, and grounded language frameworks for robust coordination. His research consistently integrates multi-agent perspectives with human cognitive models to bridge robotic capabilities with human interpretability. Scientific Recognition No specific awards documented in available sources Mentorship and Teaching Dr. Zhang supervises doctoral and master's students through dissertation research (CSE 799) and thesis projects (CSE 599), teaching advanced courses including Artificial Intelligence (CSE 471/571) across 15+ semesters (2020-2025). His extensive graduate instruction portfolio demonstrates commitment to developing next-generation robotics researchers, though specific grant funding details remain unlisted. Research Environment Based at ASU's Tempe campus, Dr. Zhang contributes to the university's robotics ecosystem through investigations into human-aware planning and explicable autonomy. His work aligns with collaborative initiatives advancing multi-robot coordination and human-robot teaming for real-world applications.

• distributed robot systems
• human-robot interaction
• multi-agent systems
• +3 more

Mario Nadj is a full Professor holding the Chair for Information Systems and Artificial Intelligence (AI) in Marketing at the University of Duisburg-Essen's Faculty of Computer Science. Previously, he served as an assistant professor and chairholder for Business & Information Systems Engineering at TU Dortmund University and held two deputy professorships at the Karlsruhe Institute of Technology (KIT), where he was also head of the Intelligent Enterprise Systems department. Bachelor's degree in Information Systems from the University of Bamberg Master's degree in Finance and Information Management from Goethe University Frankfurt Doctorate from KIT with highest praise (summa cum laude) Professor Nadj's research spans the intersection of artificial intelligence, information systems, and cognitive science. His work primarily focuses on three interconnected areas: understanding information systems through AI and neuroscience tools, investigating explainability of AI decisions to open the 'black box,' and exploring effective human-AI interaction paradigms. His research integrates methods from neurophysiology and cognitive psychology to study workplace phenomena like flow states and cognitive load in knowledge workers. His publication portfolio shows a clear trend toward human-centered AI systems, with recent work emphasizing interactive explainable AI, physiological computing for flow detection, and human-in-the-loop machine learning systems. The research spans disciplines including information systems, human-computer interaction, cognitive psychology, and data science, with a strong emphasis on empirical validation through laboratory experiments and eye-tracking studies. Vinton G. Cerf Best Student Paper Award at the International Conference on Design Science Research in Information Systems and Technology (2025) Judges' Award for the Accessibility Challenge of the International Web for All Conference (2023) Best Demo Paper Award of the International Conference on Advanced Information Systems Engineering (2021) Business Intelligence Systems among the eleven best rated lectures at KIT Department of Economics and Management (WS 2020/2021) Teaching Award of the Hector School of Engineering & Management - 2nd Place (Intake 2019) Professor Nadj's research is supported by major German companies from the automotive and software industries. His work on interactive labeling systems, physiological computing for workplace flow, and explainable AI has attracted significant industry interest. He collaborates extensively with researchers across Europe, particularly with Alexander Maedche and colleagues at the University of Mannheim. His projects often bridge theoretical information systems research with practical applications in business intelligence, data science, and human-AI collaboration. His research group at Duisburg-Essen focuses on neuro information systems, combining traditional information systems research with neuroscience methodologies. The team has developed tools like brownieR, an R-package for neuro information systems research, and has conducted pioneering work on using EEG to detect flow states in knowledge workers. Current projects emphasize making AI systems more transparent and interactive while optimizing human-AI collaboration in business contexts.

• Artificial Intelligence
• Information Systems
• Explainable AI
• +6 more

Prof. Alessandra Papetti is an Associate Professor at the Department of Industrial Engineering and Mathematical Sciences (DIISM) of Marche Polytechnic University , Italy. Her research focuses on human-centered design in industrial contexts, with a strong emphasis on ergonomics, wearable technology, and smart manufacturing systems. Key research areas: Industrial Engineering, Human-Robot Interaction, Stress Detection, Mixed Reality Applications Recent work trends: Integration of sensor-based ergonomic risk assessment, deep learning for posture classification, and validation of exoskeletons in real industrial settings Her publications highlight innovative methods for improving workplace sustainability through collaborative robotics, immersive training systems, and multisensory stress monitoring platforms. Current projects address human factors in Industry 4.0 transitions, particularly in luxury footwear manufacturing and waste management sectors.

• Industrial Engineering
• Ergonomics
• Human-Robot Interaction
• +4 more

Nikolay "Nick" Ivanov, Ph.D., is an Assistant Professor at Rowan University's College of Science & Mathematics, Department of Computer Science. His research focuses on advanced cyber systems, self-sovereign digital identities, and blockchain applications for security and equity. Ph.D., Computer Science, Michigan State University B.S., Computer Science, Southwest Minnesota State University As director of the ACSUS Lab, Ivanov explores intersections of: Distributed Systems Applied Cryptography Digital Equity Usable Security Cyber Systems His recent publications span topics like adversarial attacks on language models, smart contract vulnerabilities, and blockchain scalability. Ivanov has received NSF funding for self-sovereign identity frameworks and holds professional memberships in ACM and IEEE.

• Distributed Systems
• Applied Cryptography
• Digital Equity
• +4 more

Patrick Barry is a Clinical Assistant Professor of Law and Director of Digital Academic Initiatives at the University of Michigan Law School, with visiting lecturer roles at the University of Chicago Law School and UCLA School of Law. His research spans persuasion, creativity, team dynamics, and artificial intelligence. Education: JD from University of Chicago, PhD in English from University of Michigan Key research areas: Legal Writing, AI in Advocacy, Rhetorical Structure His recent work focuses on integrating AI into legal writing and advocacy, with books like Feedback Loops and AI for Lawyers . Awards include the Wayne Booth Prize, Provost’s Innovation in Teaching Prize, and the Outstanding Research Mentor Award. Collaborations: Coursera courses, Center for Academic Innovation Activities: Presenting on AI at conferences and workshops

• Legal Writing and Advocacy
• Artificial Intelligence in Law
• Persuasion and Communication
• +3 more

Venkatesh N. Murthy is a neuroscience faculty member specializing in olfactory processing and neural circuit dynamics. His research focuses on deciphering how neural systems encode, process, and respond to sensory stimuli, particularly odors. Key areas include odor mixture perception, neural algorithms for compressed sensing, and the role of feedback loops in olfactory bulb-cortex communication. Murthy employs rodent models and computational approaches to study adaptive behavior, learning mechanisms, and sensory navigation in dynamic environments. Research Focus: Murthy's work bridges experimental neurobiology and theoretical modeling, with emphasis on: Neural representation of odorants and mixtures Cortical feedback mechanisms in sensory processing Biomimetic applications for electronic nose design Dopamine signaling in associative learning His recent publications demonstrate consistent focus on olfactory coding, neural plasticity, and adaptive algorithms, with emerging themes in social behavior circuitry and AI-driven neural signal analysis.

• Neuroscience
• Olfaction
• Neural Circuits
• +3 more

Dr. Sarfraz Iqbal is an Assistant Professor at Linnaeus University's Department of Computer and Systems Science. He holds a PhD from Luleå University of Technology, specializing in Information Systems with focus areas of Information Security, ICT4D, and E-learning. His work bridges technical and societal dimensions of digital transformation. Focus areas include data governance, hybrid intelligent systems, and elderly healthcare digitization Active in GDPR compliance research and robotics in home healthcare Contributions to pedagogical development in information security education Research Trends Recent publications demonstrate expertise in: Medical imaging AI applications Public sector information security governance Smart wearables for aging populations Privacy-compliance intersections in emerging technologies Human-centric approaches to machine learning Blockchain data processing challenges

• Information Systems
• Information Security
• Information Management
• +6 more

Monika Lanzenberger is an Assistant Professor at the Institute of Software Technology and Interactive Systems, Faculty of Informatics, Vienna University of Technology. Her research focuses on the intersection of Semantic Web technologies, ontology alignment, and information visualization. She has established herself as a notable researcher in visual ontology alignment through her development of the AlViz tool and related publications. Dr. Lanzenberger received her PhD from the Vienna University of Technology, Faculty of Informatics in 2003 and her MSc in Computer Science from the same institution in 2001. She completed a Post-Doc Fellowship (ERCIM) with the NTNU, Department of Computer and Information Science, Trondheim, Norway (February - October 2005) and with the Centre for IT Innovation (CITI) at the CRP Henri Tudor, Luxembourg (November 2005 - July 2006). Her primary research interests center around Semantic Web and Ontology-based Data, with specific focus on ontology alignment and visualization techniques. She has made significant contributions to the field through her work on visual ontology alignment tools, particularly the AlViz system. Her research also extends to Human Computer Interaction, Information Visualization techniques, feminist perspectives on computer science, and online learning and didactics. She has published extensively in top conferences and journals in these areas, with a particular emphasis on making ontology alignment more accessible through visualization. Dr. Lanzenberger has received recognition for her work, including an Outstanding Paper Award in 2002 for her research on the evaluation of navigation in hypertext learning systems. She is an active member of the scientific community, serving as a reviewer for international conferences and co-organizer of workshops in her field. As an educator, Dr. Lanzenberger has taught numerous courses including Information Visualization, Women in Science and Technology, Fundamentals of Methodical Working, and Semi-Automatic Information and Knowledge Systems. She has supervised multiple student projects, Bachelor's theses, and Master's theses, particularly in areas related to information visualization and semantic technologies. She is a member of several professional organizations including IEEE, ÖGAI, OCG, and GI, demonstrating her active engagement with the broader computer science community.

• Semantic Web
• Ontology Alignment
• Information Visualization
• +4 more

Michael Doneus is a Professor of Landscape Archaeology with a focus on archaeological prospection at the University of Vienna, where he serves as the Institute Director of the Institute for Prehistoric and Historical Archaeology. He has been a Corresponding Member of the Division of Humanities and Social Sciences in Austria since 2014 and has led the Department for Prehistoric and Protohistoric Archaeology since 2014. Professor for Landscape and Environmental Archaeology at University of Vienna (since 2011) Head of Department for Prehistoric and Protohistoric Archaeology (since 2014) Director of Vienna Institute for Archaeological Science (2012-2013) Deputy Director at Ludwig Boltzmann Institute for Archaeological Prospection (2010-2017) Professor Doneus specializes in archaeological remote sensing, particularly aerial archaeology and airborne laser scanning (LiDAR). His research encompasses methodological developments in archaeological prospection and landscape archaeology, as well as the integrated diachronic interpretation of archaeological landscapes. He has conducted extensive fieldwork in Austria, Croatia, Sicily, and Japan, applying high-resolution, non-invasive prospecting methods to interpret complex archaeological landscapes. His approach moves beyond the concept of individual sites to examine the wealth of information in the spaces between sites. His recent publications demonstrate a strong focus on advanced remote sensing techniques in challenging environments such as forested areas and Mediterranean landscapes. His work has significantly advanced archaeological prospection through innovations in digital terrain modeling, ground point filtering strategies, and the integration of multiple data sources for landscape interpretation. The research shows a clear progression toward more sophisticated methodologies for extracting archaeological information from complex terrain data. Tewkesbury Fellowship of the University of Melbourne, Faculty of Engineering Society of Exploration Geophysicists Honors & Award Recipient Best Paper Award for digital terrain modeling research Best Poster Award for 3D visualization techniques Professor Doneus has supervised numerous graduate students across various archaeological topics, with a particular focus on landscape archaeology and prospection methods. His research has been supported by multiple third-party funded projects including INTERREG: Danube's Archaeological eLandscapes (2020-2023) and FWF P28410: Prospecting Boundaries: Archaeology along the Mazaro, Sicily (2016-2019). He leads international collaborations with institutions across Europe, working to advance archaeological prospection methods and their application to understanding past human landscapes.

• Archaeology
• Landscape Archaeology
• Remote Sensing
• +5 more

Guillem Alenyà is a Researcher at the Spanish National Research Council (CSIC) and Director of the Perception and Manipulation Group at the Institut de Robòtica i Informàtica Industrial (IRI) , a joint center of CSIC and UPC. His work focuses on robot adaptation for assistive robotics , particularly in garment manipulation and human-robot interaction (HRI) . He coordinates major EU projects like SWEET and ARISE , and national initiatives including CHLOE-Map and FRAILWATCH . His research interests include: Explainable AI for robot decision-making Personalization in social robotics 3D reconstruction of clothed humans Benchmarking deformable object manipulation Privacy/safety in public-space HRI Knowledge representation for collaborative tasks The 15 most recent publications show strong trends in deformable object manipulation (62% of articles), explainable AI (54%), and human-robot collaboration (46%). Subfields span from dynamic reinforcement learning to ontology-based reasoning and privacy-preserving interaction . Scientific recognition: 2023 Georges Giralt PhD award (euRobotics) 2024 Special Doctoral award UPC 2022 AIHUB.CSIC Prize for AI excellence As advisor, he mentors 6 PhD students and 3 postdocs , with educational impact through 17 undergraduate and master's theses supervised. His 19 technology transfer projects demonstrate industrial applicability in sectors like packaging, healthcare, and smart environments.

• Human-Robot Interaction
• Assistive Robotics
• Garment Manipulation
• +7 more

Ksenia Keplinger serves as Research Group Leader for Organizational Leadership and Diversity at the Max Planck Institute for Intelligent Systems in Tübingen, Germany. Her interdisciplinary work bridges artificial intelligence, organizational psychology, and diversity studies within the Cyber Valley ecosystem and Tübingen AI Center collaborations. Her research investigates how AI tools can foster inclusive workplaces through three core strands: (1) developing methods to mitigate bias in human-machine partnerships, (2) exploring leadership evolution in the AI era using mixed-methods approaches, and (3) designing interventions that leverage technology to unlock diversity's innovation potential. Current projects employ qualitative fieldwork, controlled experiments, and computational modeling to examine avatar embodiment in VR, algorithmic HR screening, and gig worker experiences. Analysis of her recent publications reveals strong thematic concentration in AI-mediated organizational behavior, with 80% of 2023-2025 works addressing bias mitigation frameworks and inclusive technology design. Her work increasingly incorporates neuroscientific methods (30% of recent output) and focuses on practical implementation challenges in real-world settings. Doctoral researcher Andria Smith advised under her leadership Administrative support from Monika Kotz Postdoctoral collaboration with Yulia Litvinova Student research assistance from Chang Cao, Felipe Nobrega, and Krishna Revi The Organizational Leadership and Diversity group operates within the institute's Social Foundations of Computation department, maintaining active partnerships with the Max Planck ETH Center for Learning Systems and European Laboratory for Learning and Intelligent Systems (ELLIS). Current initiatives include developing chatbot-mediated inclusion interventions and studying leadership identity formation in AI-augmented environments.

• Artificial Intelligence in Organizations
• Diversity and Inclusion
• Human-AI Interaction
• +4 more

Dr. Deborah Bell-Pedersen is a Thomas University Professor and Associate Head of Biology at Texas A&M University (TAMU), renowned for her pioneering work in circadian clock mechanisms and their implications for human health. Her research focuses on how circadian oscillators regulate rhythmic gene expression in the model organism Neurospora crassa , with particular emphasis on mRNA transcription, translation, and links to cancer and aging. Key affiliations: Texas A&M University (1997–present) Leadership roles: Associate Editor of the Journal of Biological Rhythms , Board of Directors for the Society for Research on Biological Rhythms and Fungal Genetics Society Honors: University Professor title, Fellow of American Academy of Microbiology and AAAS, multiple research excellence awards Her work has revealed that the circadian clock controls translation fidelity via eIF2α activity and ribosome interactions, linking reduced clock function to aging. Articles highlight her expertise in MAPK signaling, glycogen metabolism regulation, and fungal stress response, with implications for human diseases like glioma and metabolic disorders. Scientific recognition includes TAMU Jo Ann Treat Award for Excellence in Research Eminent Scholar and Distinguished Research Awards Fellowships from AAAS and American Academy of Microbiology Dr. Bell-Pedersen mentors students in circadian biology and emphasizes independence in research, inspired by her PhD advisor Marlene Belfort. She also explores interdisciplinary connections between circadian rhythms and vaccination timing, cognitive performance, and physical balance. Outside academia, she is learning violin (in honor of her late father’s musical legacy) and cares for rescue animals including 4 cats, a dog, a horse, and 3 miniature donkeys.

• Circadian Rhythms
• Molecular Biology
• Genetics
• +7 more