جستجوی استاد راهنمای دانشگاهی

• Photogrammetry
• Deep Learning
• Remote Sensing
• +۷ مورد دیگر

Francesco Nex is an Associate Professor at the University of Twente in the Department of Earth Observation Science , where he holds the chair of real-time analytics for ubiquitous geo-sensors. He earned a Master's in Environmental Engineering (2006) and a PhD (2010) from TU Turin. His career spans roles at Italy's FBK institute (2011-2015) and the University of Twente (2015-present). His research integrates photogrammetry , deep learning , and robotics to enable automated UAV-based solutions for applications like disaster management , infrastructure monitoring , and precision farming . Key projects include EU-funded initiatives (Ingenious, Panoptis, RECONASS) and leadership roles in the ISPRS (Chairman of ICWG II/Ia). He has supervised 12 PhD students directly and co-supervised others at institutions like Politecnico Milano and Politecnico Torino. Recent publications highlight advancements in glacier monitoring using low-cost UAV systems, real-time 3D reconstruction , and autonomous drone navigation . Awards include the ISPRS President’s Honorary Citation (2021) and the E.H. Thomson award (2020). His work aligns with UN Sustainable Development Goals for Smart Industry , Climate Action , and Robotic Mobility .

Elans Grabsمشاهده پروفایل

دانشیار

• Machine Learning
• Digital Signal Processing
• Network Traffic Analysis
• +۷ مورد دیگر

Dr. Elans Grabs is an Associate Professor at Riga Technical University's Institute of Information Technology, specializing in machine learning, network traffic analysis, and telecommunications. His work bridges digital signal processing and unmanned aerial vehicle navigation. Current research focuses on AI-driven network optimization Expertise in sensor fusion for autonomous systems Active in open RAN and wireless communication protocols His publications span topics from IoT performance modeling to laser communication algorithms for moving platforms. Recent works emphasize real-time signal processing, video traffic classification, and drone cooperation systems. While no formal awards are listed, his contributions to network traffic simulation and embedded systems design demonstrate technical depth. Articles show specialization in convolutional neural networks for streaming video analysis and wireless sensor network optimization.

Yolanda Cuevas Labradorمشاهده پروفایل

استادیار

• Didactics of Experimental Sciences
• Mathematics Education
• Educational Innovation
• +۵ مورد دیگر

Yolanda Cuevas Labrador serves as Assistant Professor in the Faculty of Education at Camilo José Cela University, teaching Foundations and Didactics of Mathematics and Experimental Sciences for Early Childhood and Primary Education degrees. She supervises Final Degree Projects, Master's theses, and Practicums while providing academic tutoring for the Secondary Education Teaching Master's program. Her academic credentials include: Diploma in Dietetics and Nutrition (University of Navarra, 1995) Bachelor's in Biology (University of Navarra, 1999) Postgraduate Certificate in Education (CAP, University of Navarra, 2000) PhD in Science (Autonomous University of Madrid, 2006) ANECA accreditation for university teaching (2014) Her research spans two interconnected domains: educational innovation in science pedagogy and molecular oncology. In education, she develops methodologies for teaching experimental sciences through multiple intelligences frameworks. In biomedical research, her work focuses on hypoxia signaling pathways, HIF mechanisms in tumor development, and viral vector design for cancer therapy. This dual expertise enables evidence-based science education approaches grounded in authentic research experience. Analysis of her 2003-2010 publications reveals consistent focus on hypoxia-related molecular mechanisms, particularly HIF pathway regulation and viral vector applications. Her work demonstrates strong translational potential, with several studies contributing directly to oncolytic virotherapy development. The patent on viral vector applications (2006) exemplifies her capacity to bridge basic research and therapeutic innovation. As a supervisor, she guides education students through practice-based research while maintaining active industry engagement as Head of Nutritional Department at Madrid's Institute of Obesity. Her collaborations span Ministry of Science projects, the Castroverde Foundation's educational research group, and international scientific networks reflected in her co-authored publications with researchers across European institutions.

Andreas Waltherمشاهده پروفایل

استاد

• Polymer Chemistry
• Bioinspired Materials
• DNA Nanotechnology
• +۵ مورد دیگر

Andreas Walther is a full Professor at the Department of Chemistry, Johannes Gutenberg University Mainz, Germany, and a Research Fellow at the Gutenberg Research College and the Max Planck Institute for Polymer Research. With an academic career spanning elite programs like the Bavarian Macromolecular Science Network and a PhD (summa cum laude) from Bayreuth, he leads cutting-edge research in synthetic biology, DNA nanotechnology, and bioinspired materials. Education: PhD (summa cum laude, 2006-2008) in Macromolecular Chemistry, Bayreuth Diploma (2005) in Polymer and Colloid Science, Bayreuth His research focuses on programmable DNA-based materials, chemically fueled reaction networks, and adaptive hydrogels. Recent work explores synthetic cells, transient colloidal assemblies, and non-equilibrium systems. His lab employs deep learning for kinetic modeling, integrates enzymatic networks with soft robotics, and develops pH-responsive materials for biomedical applications. Key article trends include: (1) DNA-driven adaptive systems (2) Enzymatic reaction networks for autonomous behavior (3) Bioinspired metamaterials (4) ATP-powered signaling interfaces (5) Multivalent pattern recognition (6) Sustainable nanocomposites. Scientific Awards: ERC Consolidator Grant (2021) ARCHES Award (2019) ERC Starting Grant (2015/2016) DSM Science Award (2008) Otto Warburg PhD Prize (2009) IUPAC Young Researcher Prize (2018) Walther serves on scientific advisory boards (FRIAS) and leads the DFG Cluster of Excellence livMatS. His lab develops scalable approaches for molecular motor-polymer conjugates, programmable coacervates, and recyclable vitrimers, with applications in tissue engineering and energy-autonomous materials.

• Ecoacoustics
• Biodiversity Monitoring
• Machine Learning Applications
• +۵ مورد دیگر

Sarab Sethi is a Lecturer in the Department of Life Sciences at Imperial College London, where he develops computational approaches for biodiversity monitoring through ecoacoustics. His work integrates machine learning, sensor technology, and ecological fieldwork to address conservation challenges, particularly in tropical ecosystems. His research focuses on advancing soundscape ecology through innovative methodologies including random forest analysis of avian migration patterns, development of low-power acoustic monitoring systems, and standardization of acoustic indices. Key contributions involve demonstrating how soundscapes predict species occurrence in tropical forests and creating open-source tools like the SAFE Acoustics network for real-time ecosystem monitoring. Recent publications reveal a strong trend toward scalable biodiversity assessment solutions, with increasing emphasis on robotics-assisted surveys, virtual acoustics validation, and robust machine learning models that function effectively under noisy field conditions. His work consistently bridges theoretical ecology with practical conservation applications. Dr. Sethi actively contributes to scientific discourse through peer review for high-impact journals including Nature , Nature Reviews Biodiversity , and Proceedings of the National Academy of Sciences , demonstrating significant scholarly engagement within the ecological research community. He leads the development of critical infrastructure for ecoacoustic research, including the Acoustic Index User's Guide and validation frameworks for ecoacoustic metrics, which enable standardized biodiversity assessment across global ecosystems. His fieldwork in Malaysian Borneo provides foundational data for tropical conservation applications.

Samira Abbasgholizadeh-Rahimiمشاهده پروفایل

استادیار

• Artificial Intelligence in Primary Healthcare
• Digital Health Technologies
• Medical Machine Learning
• +۵ مورد دیگر

Dr. Samira Abbasgholizadeh-Rahimi serves as Assistant Professor at McGill University in the Faculty of Medicine and Director of Artificial Intelligence in Family Medicine (AIFM) . She holds the Canada Research Chair in Advanced Digital Primary Health Care and maintains affiliations with Mila – Quebec AI Institute and Lady Davis Institute for Medical Research . B.Eng., Ph.D. from McGill University President-Elect, Canadian Operational Research Society Her interdisciplinary research bridges Artificial Intelligence and Primary Healthcare , with specific focus on: AI-enabled decision support tools Explainable machine learning for clinical contexts Medical knowledge graphs and NLP applications Addressing algorithmic bias in vulnerable populations Ageism mitigation in health AI systems Digital support for neurocognitive disorders Recent publications demonstrate her expertise in: AI ethics and EDI integration (4 papers since 2024) Geriatric depression prediction models (2025 JMIR study) Shared decision-making frameworks (2022-2023 series) Conscious AI debates in clinical settings (2024 commentary) Scientific recognition includes: 2022 NAPCRG New Investigator Award Cross-institutional collaborations across Canada, Europe, and Asia Research funding sources: Fonds de recherche du Québec – Santé Natural Sciences and Engineering Research Council Brocher Foundation (Switzerland) CIHR SPOR grants Industry partnership with Roche Canada Lab activities including: Developing HOPE (Home-Based Older Adults' Depression Prediction) model Creating incorpoRATE SDM assessment framework Building evidence-based decision support tools for dementia caregivers Training next-gen AI healthcare researchers through Mila collaborations

Iván Andrés Arana-Solaresمشاهده پروفایل

پژوهشگر

• Logistics
• Operations Management
• Supply Chain Management
• +۵ مورد دیگر

Iván Andrés Arana-Solares serves as an Adjunct Researcher at the Institute for the Future of Education and professor at Tecnológico de Monterrey's Campus Ciudad de México with over 18 years of expertise in Logistics, Operations, and Supply Chain Management. He designs training programs and consults on national/international projects while advancing Competency-Based Education initiatives. His academic credentials include: Chemical Engineer Administrator from Tecnológico de Monterrey Master of Science in Industrial Engineering from Tecnológico de Monterrey PhD in Industrial Engineering from Universidad de Sevilla Doctor of Business Administration from Universidad de Sevilla His research integrates Logistics Management with educational innovation through Gamification, Challenge-Based Learning, and digital experiential spaces. He develops mobile applications and serious games to enhance industrial engineering education, focusing on competence development and real-world problem solving. His work bridges operational excellence with pedagogical strategies to improve student engagement and learning outcomes in engineering contexts. Publications from 2019-2025 reveal a cohesive trajectory toward technology-enhanced educational methodologies. He pioneers digital learning environments (Engineering Education 4.0), mobile competence-tracking tools, and logistics simulations that transform abstract concepts into tangible experiences. His scholarship consistently connects industrial practices with pedagogical innovation, emphasizing contextualized learning and systems thinking in engineering education. No scientific awards were documented in the source material. While his teaching activities include Supply Chain Design and Operational Excellence courses, specific details about student advising or research grants were not provided. His work aligns with UN Sustainable Development Goals 4 (Quality Education) and 9 (Industry, Innovation, Infrastructure), reflecting commitment to educational transformation and technological advancement in engineering practice. As an Institute for the Future of Education researcher, he contributes to advancing competency-based frameworks and digital learning ecosystems, though specific laboratory affiliations or team structures were not detailed in the source text.

Ernesto Armando Pacheco-Velázquezمشاهده پروفایل

پژوهشگر

• Serious Games in Education
• Logistics and Supply Chain Simulation
• Self-Directed Learning
• +۳ مورد دیگر

Ernesto Armando Pacheco-Velázquez serves as an Adjunct Researcher at Tecnológico de Monterrey's Institute for the Future of Education, specializing in Educational Technology within the Institute's research structure. His work bridges industrial engineering, mathematics education, and digital learning innovation. Academic Background: PhD in Administration (Operations Management focus) from Tecnológico de Monterrey (2004) Master of Science in Industrial Engineering (Honorable Mention) from Tecnológico de Monterrey Master of Education in Mathematics from Tecnológico de Monterrey Bachelor's in Mathematics from Universidad Autónoma de Guadalajara His research centers on serious games and simulation-based learning for developing complex skills in logistics and supply chain education. He pioneers methodologies for creating educational simulators (notably the patented LOST: Logistic Simulator) to address VUCA challenges in Industry 4.0 environments. His work emphasizes self-directed learning, game-flow theory, and adapting educational technologies for Latin American contexts through participatory design approaches. Analysis of his recent publications reveals a strong trend toward quantitative validation of educational technologies (2023-2025), with increasing focus on psychometric properties of engagement metrics, linear programming for game attribute evaluation, and UX optimization of virtual logistics simulators. His research consistently targets practical implementation in engineering education while contributing to theoretical frameworks in complex systems learning. Key Recognition: The Tower of Excellence (highest GPA in doctoral cohort) Mexican Researcher Certification - Candidate Honorable Mention in Industrial Engineering Master's program Pacheco-Velázquez actively contributes to educational innovation through the LOST simulator project (patented in 2019), which serves as a cornerstone for his research on developing comprehensive logistics vision through game-based learning. His work aligns with UN Sustainable Development Goals including Quality Education (SDG4), Industry Innovation (SDG9), and Responsible Consumption (SDG12), demonstrating commitment to practical applications of educational technology for societal impact.

Ajitha Rajanمشاهده پروفایل

استاد

• Software Testing
• Software Verification
• Test Automation
• +۶ مورد دیگر

Ajitha Rajan is a Professor (Personal Chair of Software Testing & Verification) at the School of Informatics, University of Edinburgh. She joined the university in December 2012 as a Reader (equivalent to Associate Professor in American terms) and was promoted to Professor in 2024. Prior to her position at Edinburgh, she held postdoctoral positions at Oxford University and Laboratoire d'Informatique de Grenoble in France. She earned her PhD in Computer Science from the University of Minnesota in August 2009 under Professor Mats Heimdahl. Her research focuses on two primary directions: Automated Software Testing (including test input generation, test oracles, and coverage measurement) and Biomedical AI (particularly cancer survival models and interpretability for biological sequences and medical images). Her work has applications in safety-critical systems, blockchains, embedded systems, and medical diagnostics. She has made significant contributions to explainable AI for healthcare applications, especially in lung cancer detection and cancer survival analysis. Her recent publications demonstrate a strong trend toward interdisciplinary research at the intersection of software engineering and biomedical applications. She has numerous publications in top venues including ICSE, ASE, and healthcare-focused conferences. Her work increasingly focuses on making AI systems more interpretable and trustworthy, particularly in medical contexts where model decisions can have life-or-death consequences. ACM SIGSOFT Distinguished Reviewer Award, ISSTA 2025 Best Paper Award at ICHI 2025 Promoted to Professor (Chair in Software Testing & Verification) 2024 SICSA Best Supervisor Award 2024 ACM Distinguished Paper Award 2008 Professor Rajan actively supervises PhD students in both software testing and biomedical AI domains. She leads several funded projects including MANIFEST (a cancer immunotherapy response research platform), a Huawei Joint Lab project on RobustCheck, a Royal Society Industry Fellowship on AutoTest, and the KATY project on clinical knowledge for personalized medicine. Her research group includes current PhD students working on explainable AI for medical image analysis, scenario-based testing for autonomous driving, and protein design applications.

María Ángeles Gallegos Taveraمشاهده پروفایل

پژوهشگر ارشد

• Soil Science
• Geography
• Digital Soil Mapping
• +۵ مورد دیگر

Dr. María Ángeles Gallegos Tavera serves as a SECIHTI Postdoctoral Fellow at the Center for Research in Environmental Geography (CIGA), National Autonomous University of Mexico (UNAM), in Morelia, Michoacán. Her interdisciplinary work combines computer systems engineering with environmental geography to innovate in soil science research and technological tool development. Her academic qualifications are: Degree in Computer Systems Engineering Master's Degree in Environmental Geography PhD in Environmental Geography Dr. Gallegos Tavera's research spans Soil Science and Geography , with core interests in Digital Soil Mapping, Soil Morphometry, and Environmental Functions of Soils. She pioneers the development of technological tools for soil study, including software applications and mobile tools, to enhance soil evaluation and outreach. Her work integrates geospatial technology and software engineering to address environmental challenges in agriculture and soil conservation. Her scientific recognitions include: SECIHTI Postdoctoral Fellowship National System of Researchers (SNI) membership She has mentored undergraduate students and possesses teaching experience in soil ecology, geographic information systems, and applied soil science. Additionally, she manages soil science dissemination through social media platforms, expanding public engagement in the field. Dr. Gallegos Tavera actively collaborates with the Soils and Water Laboratory of CIGA, the University Laboratory of Environmental Geophysics of CIGA, IGUM Michoacán Unit, the Sustainable Soils Laboratory of IIES, and the Mexican Applied Soil Science Group (led by Dr. David J. Palma López).