جستجوی استاد راهنمای دانشگاهی

Dr. Marcell K. Peters is a Senior Academic Councillor at the Chair of Animal Ecology and Tropical Biology (Zoology III) at the University of Bremen. His research focuses on biodiversity patterns, ecosystem functioning, and climate-land use interactions in tropical and montane environments, with extensive fieldwork in East Africa and the Amazon. He leads projects under DFG and EU funding, including the UPSCALE initiative. Habilitation in Zoology (University of Würzburg, 2018) PhD in Biology (University of Bonn, 2008) Diploma in Biology (RWTH Aachen & University of Bonn, 2003) Research spans multi-taxa community ecology, army ants and ant-following birds, DNA barcoding applications, and climate change impacts on pollination networks. Google Scholar highlights recent work on climate-agriculture interactions in sub-Saharan Africa, trait-based community assembly, and network resilience in biodiversity hotspots. His publications emphasize elevational gradients, disturbance ecology, and functional diversity across Mount Kilimanjaro studies. Current affiliations include the DFG Research Unit Kilimanjaro and EU-funded UPSCALE project. He employs advanced methods like airborne LiDAR for biodiversity prediction and investigates nutrient use by ant communities across continents.

• Biodiversity
• Community Ecology
• Climate Change
• +۵ مورد دیگر

Kevin Chetty is a Professor of Wireless Sensing at University College London (UCL), leading the Urban Wireless Sensing Lab within the Department of Security and Crime Science. His work bridges radar technology, machine learning, and healthcare applications, with a focus on passive sensing systems. Education: PhD in Medical Ultrasound Physics (Imperial College London, 2004-2007), MRes in Image and X-Ray Physics (King's College London, 2003), BSc in Physics (King's College London, 1999) Research spans radar micro-Doppler signature analysis for human behavior classification, software-defined radar development, and integrated communication-sensing systems, with applications in security, healthcare, and smart environments. Recent work emphasizes privacy-preserving technologies and edge processing for real-time operations. Scientific awards include the 2022 IET Radar Systems Best Paper Runner-Up, 2022 IEEE Radar Conference 2nd Place, and 2015 National Instruments Engineering Impact Award. He has received funding from government and industry sectors in telecommunications, IoT, security, and healthcare. Teaching roles: Programme Convener for MSc Crime Science and IEP Minor in Crime and Security Engineering; Module Convener for Security Technologies and Crime Mapping & Spatial Analysis Consultancy: Huawei Technologies (2020-2022), Metropolitan Police Service (2019)

• Wireless Sensing
• Radar Technology
• Machine Learning
• +۷ مورد دیگر

Dr. Diego Fernandez is a Research Professor in the Department of Geology & Geophysics at the University of Utah, specializing in isotope geochemistry, mineral resource characterization, and environmental dust dynamics. His work spans four decades of academic appointments (2006–present) with expertise in strontium isotope applications for migration tracking, critical mineral assessments, and dust pollution health impacts. PhD in Thermodynamics, University of Buenos Aires (1992) Research Professor (2021–present) Research Associate Professor (2014–2021) Research Assistant Professor (2006–2014) Research focuses include: strontium isotope geochemistry for reconstructing animal migration and geological processes; critical mineral characterization of coal-bearing strata for rare earth element extraction; environmental health impacts of dust from the Great Salt Lake playa; dust source apportionment in urban settings; and magmatic system petrochronology of the Alta Stock region. Recent publications (2024–2025) demonstrate methodological innovations in LA-ICP-MS analysis, Bayesian isotope turnover modeling, and dust-metal contamination frameworks. His studies document elevated health risks from thallium, arsenic, and lead in urban dust, while proposing solutions through dust suppression and international emission reductions. 2024 Distinguished Educator Award, University of Utah College of Science Current grants include USGS-funded terminal lake geochemistry, NSF projects on critical zone dust dynamics, and Bering Sea fisheries baseline studies Teaching activities include directing SRI Research courses (2024) and mentoring interdisciplinary projects on environmental isotopes. Collaborators include institutions across North America and Europe, with fieldwork in Utah, Alaska, Wyoming, and Kenya.

• Geochemistry
• Isotope Geochemistry
• Environmental Geology
• +۴ مورد دیگر

Professor Efpraxia D. Zamani is a Full Professor of Information Systems at Durham University Business School, previously serving as Senior Lecturer at the University of Sheffield's Information School. Her research examines the organizational and social dimensions of Information Systems, with particular emphasis on digital poverty, emerging technologies, and workplace implications. Her research focuses on three interconnected domains: Digital poverty and inequalities (examining access disparities and policy impacts), Making sense of emerging technologies (analyzing adoption and resistance patterns), and Information Systems in the workplace (investigating hybrid work dynamics and gendered experiences). Zamani employs critical and qualitative methodologies to uncover how technological transformations affect marginalized groups and organizational practices. Analysis of her 15 most recent publications (2023-2025) reveals consistent engagement with societal challenges through an Information Systems lens. Her work spans digital governance, healthcare technology, crowdwork platforms, and AI ethics, predominantly published in top-tier journals like Information Systems Journal and Journal of Information Technology . A distinctive pattern is her focus on vulnerable populations—including informal caregivers, women in developing economies, and older adults—within technology adoption contexts. Key recognitions include: AIS Sandra Slaughter Service Award (2024) AIS Distinguished Member - Cum Laude (2025) Best Paper Award at ICIS 2013 Runner Up for SIG GTM Best Paper Award (2021) She supervises PhD candidates including Myrto Dimitriou and Sohee Kim while leading significant research initiatives. Current projects feature the Marie Skłodowska-Curie Actions Doctoral Network AGORA (funded by UKRI EPSRC) for Metaverse research training. Completed work includes British Academy-funded studies on digital inclusion in Derbyshire and Research England projects addressing digital poverty in South Yorkshire. Her grant portfolio demonstrates strong alignment with societal impact through technology. Zamani actively contributes to academic communities as co-chair of the AIS Women's Network College and Vice President of the UK Academy for Information Systems, while maintaining editorial roles at Information Systems Journal and Information Technology & People .

• Digital Poverty
• Digital Inequalities
• Emerging Technologies
• +۳ مورد دیگر

Sean Wilson is a Researcher at the Georgia Institute of Technology , affiliated with the College of Engineering and the School of Electrical and Computer Engineering . He serves as the Collaborative Autonomy Branch Chief at the Georgia Tech Research Institute (GTRI) and Director of the Robotarium Lab (https://www.robotarium.gatech.edu/), which provides free remote access to robotic hardware for algorithm testing. Educational Background: B.A. in Physics and Mathematics from State University of New York at Geneseo (2012) M.S. and Ph.D. in Mechanical Engineering from Arizona State University (2017) Dr. Wilson's research focuses on remotely-accessible robotic hardware , collaborative autonomy , and control of multi-agent and swarm robotic systems . His recent publications emphasize distributed control, swarm robotics, and bio-inspired robotic behaviors. The Robotarium Lab he directs enables global access to robotics testbeds for control research. Research Themes (2014-2023): Remote-access robotics (5), swarm coordination (7), bio-inspired algorithms (3), barrier functions (2), multi-robot systems (9), and control theory (4). Sean operates from the Robotarium Lab (Office Location: CCRF B11-3133D) as part of Georgia Tech's Institute for Robotics and Intelligent Machines (IRI) core faculty. His work bridges robotics infrastructure development with theoretical control research.

• Remotely-accessible robotic hardware
• Collaborative autonomy
• Swarm robotics
• +۵ مورد دیگر

Ridhi Kashyap is a Professor of Demography and Computational Social Science at the University of Oxford, where she contributes significantly to demographic research through innovative computational approaches. She is affiliated with the Leverhulme Centre for Demographic Science, where she co-leads the Digital and Computational Science strand. Her work bridges traditional demographic methods with cutting-edge computational techniques to address pressing social issues related to population dynamics and inequalities. Dr. Kashyap's research spans multiple areas of demography, with particular focus on: Mortality and population health, including pandemic impacts on life expectancy Gender inequality, especially son preference and digital gender gaps Marriage and family dynamics in relation to educational expansion and gender norms Migration and ethnicity patterns using digital data sources Sustainable development goals related to digital access and gender equality Her methodological expertise lies at the intersection of demography and computational social science. She leverages agent-based models, microsimulation, and machine learning techniques applied to novel data streams such as digital trace data from social media platforms. A notable example of her work is the digitalgendergaps.org platform, which nowcasts global digital gender inequalities in internet and mobile access - a key sustainable development goal indicator where official data is lacking. Her research demonstrates how computational approaches can fill critical data gaps and provide timely insights for policy decision-making. Analysis of Dr. Kashyap's recent publications reveals a strong focus on digital demography and computational approaches to understanding population dynamics. Her work frequently examines gender inequalities through digital lenses, including analyses of LinkedIn data to understand professional gender gaps and social media data to track digital access disparities. She has made significant contributions to understanding pandemic mortality patterns, particularly in India and the US, and has pioneered methods for using social media data to nowcast demographic phenomena. Her research consistently bridges theoretical demographic concepts with practical computational methodologies. Dr. Kashyap has been actively involved in several significant research initiatives, including leading the development of the Digital Gender Gaps dashboard and contributing to the creation of the World Cybercrime Index. Her work with the Leverhulme Centre for Demographic Science has positioned her at the forefront of computational demographic research. Within her academic role, Dr. Kashyap supervises graduate students and collaborates with interdisciplinary teams across demography, computer science, and public health. She has secured funding for projects that leverage digital data to address demographic research questions, particularly those related to gender inequality and sustainable development goals. Her work with social media data platforms demonstrates innovative approaches to overcoming traditional data limitations in demographic research. Dr. Kashyap co-leads the Digital and Computational Science strand at the Leverhulme Centre for Demographic Science, where she oversees a team of researchers working at the intersection of demography and computational methods. Her team develops innovative approaches to using digital trace data for demographic research, with particular focus on gender inequality metrics and pandemic impact assessment. The Digital Gender Gaps project represents one of her team's flagship initiatives, providing near-real-time monitoring of a key sustainable development indicator.

• Demography
• Computational Social Science
• Digital Demography
• +۵ مورد دیگر

Sudip Vhaduri is an Assistant Professor in the School of Applied and Creative Computing at Purdue University, where he serves as Director of the mobile Artificial Intelligence (mAI) Laboratory. He holds appointments with several Purdue research centers including the Applied AI Research Center (AARC), Center for Education to Research in Information Assurance and Security (CERIAS), Purdue Institute of Inflammation, Immunology and Infectious Disease (PI4D), and the Institute for a Sustainable Future (ISF). Dr. Vhaduri received his educational training from: Ph.D. in Computer Science and Engineering from University of Notre Dame M.Sc. in Computer Science from University of Memphis B.Sc. in Computer Science and Engineering from Bangladesh University of Engineering and Technology His research focuses on the intersection of artificial intelligence and mobile computing, with particular emphasis on machine learning, deep learning, and federated machine learning approaches. Dr. Vhaduri's work integrates three major application areas: health informatics leveraging smartphone and wearable sensing, continuous user authentication using physiological and behavioral biometrics, and reliable discovery of places of interest using alternative sensor data. His research has been featured in prestigious outlets such as Forbes Magazine. Dr. Vhaduri collaborates extensively with interdisciplinary researchers from medical and nursing schools at institutions including University of Cincinnati and Indiana University, as well as industrial research institutions like IBM Research. He is an active member of multiple IEEE societies including IEEE Computer Society, IEEE Signal Processing Society, IEEE Geoscience and Remote Sensing Society, and IEEE Engineering in Medicine and Biology Society. He teaches courses including Machine Learning for Smart Sensing (F'21-F'24), Data Fusion for Machine Learning (S'23-S'24), and Database Fundamentals (S'22-present). Dr. Vhaduri actively seeks highly motivated PhD students for research in ML/DL/FedML, IoT, and Mobile & Wearable Computing, with multiple funded positions available.

• Machine Learning
• Deep Learning
• Federated Machine Learning
• +۸ مورد دیگر

Dr. Husam Al-Najjar is a Lecturer at the School of Computer Science within the Faculty of Engineering and Information Technology at the University of Technology Sydney (UTS). He serves as the Course Director for the Bachelor of Information Systems (BIS) program. With expertise in geospatial technology and machine learning, Dr. Al-Najjar focuses on predicting and mitigating natural hazards and environmental issues to contribute to a sustainable digital earth. Dr. Al-Najjar earned his PhD from the University of Technology Sydney. Before joining academia, he worked in project management and has received numerous prestigious awards, scholarships, and grants throughout his career. Dr. Al-Najjar's research primarily centers on the application of machine learning techniques to address complex environmental challenges. His work spans geospatial AI, natural hazard prediction (particularly landslides and bushfires), and sustainable development. He has developed innovative approaches that integrate physical models with machine learning algorithms to improve prediction accuracy in data-scarce environments. His research also extends to remote sensing applications, urban planning, and smart city technologies, with a strong emphasis on practical solutions for real-world problems. Analysis of Dr. Al-Najjar's recent publications reveals a strong focus on applying explainable AI techniques to natural hazard prediction, particularly landslides. His work consistently bridges the gap between theoretical machine learning approaches and practical geospatial applications. He has made significant contributions to integrating physical models with AI, developing methods for handling imbalanced data through generative adversarial networks, and improving feature selection for remote sensing applications in environmental monitoring. Best Paper Award at the ISPRS Geospatial Week in Enschede, the Netherlands As an educator, Dr. Al-Najjar is actively involved in mentoring and teaching. He serves as Course Director for the Bachelor of Information Systems program and teaches courses in GIS, Information Systems, IS development methodologies, Design & Innovation, and Project Management. He welcomes prospective PhD candidates interested in his research areas and emphasizes the importance of detailed research proposals that demonstrate novelty and significance. His teaching philosophy focuses on fostering an engaging and inclusive learning environment that promotes student success and well-being. Dr. Al-Najjar is affiliated with 'The Trustworthy Digital Society' concentration at UTS and serves as a referee and holds editorial roles in respected journals. His work contributes to the development of geospatial AI frameworks that support decision-making in environmental management and disaster preparedness.

• Geospatial Technology
• Machine Learning
• Natural Hazard Prediction
• +۷ مورد دیگر

Catherine Neish is an Associate Professor in the Department of Earth Sciences at The University of Western Ontario. She serves as the Associate Director of Research for Western Space and is a Co-Investigator on NASA's Dragonfly mission to Titan. Her research focuses on planetary radar observations, impact cratering processes, and the geological evolution of planetary surfaces, particularly on the Moon, Titan, and other Solar System bodies. Ph.D. in Planetary Sciences, University of Arizona (2008) B.Sc. in Combined Honours Physics and Astronomy, University of British Columbia (2004) Her recent publications highlight studies on lunar impact crater thermophysics, Titan's impact melt dynamics, and radar-based analyses of planetary surfaces. She has contributed to missions including Lunar Reconnaissance Orbiter (Mini-RF), Cassini RADAR, and Dragonfly. Scientific Awards: College of New Scholars, Royal Society of Canada (2021) Early Researcher Award, Ontario (2017) Minor Planet 16972 Neish (2017) AGU Ron Greeley Award (2014) NASA Postdoctoral Fellowship (2012) NASA Group Achievement Award (2010) NSERC Postgraduate Scholarship (2005-2008) Julie Payette-NSERC Research Scholarship (2004-2005) Dr. Neish supervises a dynamic lab with current and former students investigating planetary geology, impact cratering, and remote sensing. Her work bridges field studies (e.g., Earth analogs), laboratory experiments, and spacecraft data analysis.

• Planetary Science
• Radar Geology
• Impact Cratering
• +۳ مورد دیگر

Franziska Klügl is a Professor in Computer Science at Örebro University's Faculty of Business, Science and Engineering, affiliated with the Center for Applied Autonomous Sensor Systems (AASS). She currently leads the KKS-funded TeamRob project on Human-Robot Teamwork and serves as Deputy Dean of the faculty since January 2023, chairing the academic appointment committee. Previously, she headed the Computer Science department (2020-2022) and served on the faculty board (2019-2022). Her research focuses on: Multi-agent systems : Development of languages, processes, and tools for agent-based simulation Interdisciplinary applications : Transportation, economics, epidemics, production, and mining simulations Simulation engineering : Integrating AI, machine learning, and formal methods to create accessible modeling tools for domain experts She created SeSAm , a visual programming tool for agent-based simulation that enables rapid prototyping of complex models. Analysis of her recent publications reveals three dominant themes: Human-robot collaboration frameworks and intention recognition systems Economic impacts of automation on labor markets and engineering services Advanced simulation methodologies using affordance theory and reinforcement learning She teaches software engineering, multi-agent systems, and agent-based modeling across multiple programs, including the WASP AI&ML PhD course. She leads research groups at the Machine Perception and Interaction Lab and oversees the TeamRob human-robot teamwork project.

• Multi-Agent Systems
• Agent-Based Simulation
• Artificial Intelligence
• +۴ مورد دیگر

Yvette Richardson is a Professor in the Department of Meteorology and Atmospheric Science and Senior Associate Dean for Undergraduate Education at Penn State University's College of Earth and Mineral Sciences. Her research focuses on severe convective storms, with particular emphasis on tornadogenesis, storm rotation, and numerical modeling of supercell dynamics. Ph.D. in Meteorology from the University of Oklahoma Dr. Richardson investigates severe weather phenomena through both observational studies using mobile radars and numerical simulations. Key research areas include environmental shear effects on storm strength, cold pool dynamics, convective initiation processes, and thermodynamic observations in supercell thunderstorms. Her work has been integral to major field campaigns such as VORTEX2 and the International H20 Project (IHOP). Her recent research publications examine microphysics parameterization sensitivity in supercell models, thermodynamic observations via balloon-borne sensors, and environmental controls on storm-scale vorticity development. The studies span topics from tornadic supercell dynamics to hail scattering mechanisms and warning verification frameworks.

• Atmospheric dynamics
• Mesoscale meteorology
• Synoptic meteorology
• +۴ مورد دیگر

Md Mobashir Hasan Shandhi is a tenure-track Assistant Professor at Arizona State University , jointly appointed in the School of Electrical, Computer and Energy Engineering and the Biodesign Institute Center for Bioelectronics and Biosensors . His work focuses on developing equitable digital health technologies—wearable sensors and AI/ML algorithms—for personalized care and remote monitoring of chronic and infectious diseases. Education PhD, Electrical and Computer Engineering, Georgia Institute of Technology, 2020 Postdoc, Biomedical Engineering, Duke University, 2021–2024 MS, Electrical and Computer Engineering, University of Utah, 2016 BSc, Electrical and Electronics Engineering, Bangladesh University of Engineering and Technology, 2011 Research Interests Dr. Shandhi’s lab designs low-cost, reliable wearable sensors and machine-learning models to enable remote monitoring of cardiovascular, respiratory, and infectious disease patients. His goal is to reduce healthcare disparities by translating these technologies into resource-limited settings. Scientific Awards & Grants American Heart Association Career Development Award Mayo Clinic–ASU Alliance Faculty Summer Residency Fellowship AHA Postdoctoral Fellowship Duke Heart Center & Translating Duke Health cardio-oncology grant NIH mHealth Training Institute Scholarship Best Paper, Runner-up Best Paper, First Place Research Awards Distinguished Poster Nominee Advising & Funding Dr. Shandhi is currently recruiting PhD students with backgrounds in electrical/biomedical engineering or computer science. He also welcomes postdocs and MS/undergraduate researchers to join the SHANDHI Lab. Interested candidates should email him directly with a CV and statement of interest. Labs & Teams He directs the SHANDHI Lab at ASU, where interdisciplinary teams of engineers, clinicians, and data scientists collaborate on translating wearable health technologies from bench to bedside.

• Digital health technologies
• Wearable sensors
• Machine learning algorithms
• +۱۰ مورد دیگر

Ralf Jaumann is a Professor at the Free University of Berlin within the Institute of Geological Sciences, Department of Planetary Sciences and Remote Sensing . He serves as Deputy Director of the Institute of Planetary Research and previously led the Planetary Geology Department at the German Aerospace Center (DLR) in Berlin-Adlershof until January 2020. As Principal Investigator of the High Resolution Stereo Camera (HRSC) on ESA's Mars Express mission (2013-2021), he has significantly contributed to Mars geology studies. Co-PI of Mastcam-Z on NASA's Mars 2020 mission Co-I on instruments for Rosetta , Cassini , Dawn , and ExoMars missions Coordinated global Mars color mosaics and long-term surface change detection using HRSC data His research focuses on planetary geology , remote sensing , and space mission instrumentation , particularly analyzing geological processes on Mars, asteroids, and icy satellites. Recent publications examine spectral properties of asteroid regolith, Martian aeolian processes, and hydration dynamics on the Moon. Despite his extensive involvement in mission operations, no specific student advisement records or scientific awards are mentioned in the provided data. Jaumann teaches Planetary Exploration: Space Missions and Planetologie Literaturseminar at the graduate level.

• Planetary Geology
• Remote Sensing
• Mars Exploration
• +۳ مورد دیگر

Ken B. Johnson, MD, MS is a Professor in the Department of Anesthesiology at the University of Utah School of Medicine, where he has served on faculty since completing residency in 1999. His clinical expertise spans regional anesthesia, acute pain management, processed electroencephalogram monitoring, and neuromuscular blockade monitoring. His research program focuses on: Genetics and epigenetics of pain pathways Clinical pharmacology of anesthetic agents Medical device development for monitoring and simulation Simulation-based experiential learning for all medical trainees Analysis of his 15 most recent publications reveals dominant themes in pharmacokinetic-pharmacodynamic modeling (40% of works), opioid-related pain management (30%), and innovative monitoring techniques (20%). His work consistently bridges basic science with clinical applications, particularly in trauma scenarios and perioperative optimization. Professional recognition includes: Editorial board membership for Anesthesia and Analgesia Leadership in American Society of Anesthesiologists Simulation Education Role as standardized oral board examiner for American Board of Anesthesiology Dr. Johnson's educational leadership extends to curriculum development for medical students through faculty, with emphasis on simulation-based training for airway management and crisis response. His collaborative research spans multiple departments including Orthopedics and Pharmacology, with recent focus on genetic determinants of pain response in joint replacement patients.

• Regional Anesthesia
• Acute Pain Management
• Processed Electroencephalogram Monitoring
• +۵ مورد دیگر

Jesper Liniger is an Associate Professor at AAU Energy within the Faculty of Engineering and Science at Aalborg University. He works in the Esbjerg Energy Section focusing on Offshore Renewable Energy Systems and is affiliated with AAU BLUE – Marine & Maritime Research. His office is located at Niels Bohr Street 8, 6700 Esbjerg, Denmark. Research Interests Marine Growth Engineering and automated cleaning solutions for offshore structures Underwater robotics including Remotely Operated Vehicles (ROVs) and autonomous inspection systems Wind turbine engineering with emphasis on hydraulic pitch systems and fault detection Fluid power engineering applications in marine environments Development of robotic solutions for offshore renewable energy infrastructure Research Trends Dr. Liniger's recent publications demonstrate a strong focus on developing robotic solutions for offshore renewable energy infrastructure. His work bridges theoretical control systems with practical marine applications, particularly addressing marine growth (biofouling) challenges on offshore structures. The research shows increasing interdisciplinary collaboration, combining robotics, fluid mechanics, and wind energy systems to create integrated solutions that improve operational efficiency and reduce maintenance costs in offshore environments. Scientific Awards Innovation Project of the Year (2024) - For underwater robotics development Esbjerg Universitetspris (2018) - University award recognizing research excellence Advising and Research Leadership Dr. Liniger actively supervises PhD students and serves as principal investigator or supervisor on multiple major projects including "NextGen Robotics" for offshore wind farms and "Towards Enhancing Perception and Navigation for Autonomous Underwater Inspection Drone." His research portfolio includes collaborations with industry partners like Vattenfall and Business Center Funen, demonstrating strong industry-academia connections focused on practical applications with economic impact. Research Teams and Facilities Liniger is part of AAU BLUE – Marine & Maritime Research, which provides specialized facilities for marine robotics testing and development. His work involves close collaboration with researchers in control systems, fluid mechanics, and renewable energy. The research group has developed experimental frameworks for testing underwater and surface vehicle operations, with recent media coverage highlighting their innovative approaches to solving marine growth challenges on offshore structures.

• Marine Growth Engineering
• Power Fluid Engineering
• Wind Turbine Engineering
• +۶ مورد دیگر