جستجوی استاد راهنمای دانشگاهی

• Agricultural Safety
• Precision Agriculture
• Agricultural Technology
• +۴ مورد دیگر

Aaron Etienne is an Assistant Professor in the Department of Applied Sciences, Technology and Education at Utah State University's S.J. & Jessie E. Quinney College of Agriculture & Natural Resources. His research focuses on integrating technology with agricultural practices to enhance safety, efficiency, and sustainability in farming operations. Located at the ASTE facility in Logan, Utah, Dr. Etienne investigates critical areas including lone worker safety systems, precision agriculture technologies, and automation solutions. Research Focus Areas: Agricultural Safety Innovation: Development of wearable devices and response systems for lone agricultural workers, incident database creation, and geospatial risk analysis. Precision Agriculture: UAV-based weed detection using deep learning, crop management systems, and sensor technology integration. Agricultural Automation: Grain handling robotics, machinery network systems (CAN-bus), and efficiency optimization technologies. His recent publications (2019-2025) demonstrate consistent focus on technology-driven solutions for agricultural challenges. Safety research dominates his recent output (7 publications), followed by automation (4) and precision agriculture (4). Key technological themes include deep learning applications, sensor systems, and geospatial analysis. Notably, 9 of 15 recent publications involve empirical validations or system developments, reflecting a strong applied research approach.

Samy El-Tawabمشاهده پروفایل

استاد

• Intelligent Transportation Systems
• Computer Networks
• Vehicular Ad-Hoc Networks (VANET)
• +۶ مورد دیگر

Samy El-Tawab is a Professor and the Information Technology Program Director at James Madison University (JMU) within the College of Integrated Science and Engineering 's Department of Computer Science . He has been at JMU since 2012, progressing from Assistant to Associate to Full Professor in 2024. Education: Ph.D. in Computer Science (2012), Old Dominion University M.Sc. in Computer Science (2006), Alexandria University B.Sc. in Computer Science (2002), Alexandria University Research Interests span Intelligent Transportation, Vehicular Ad-Hoc Networks (VANET), Wireless Sensor Networks (WSN), Network Security, Internet of Things (IoT), Cloud Computing, and Autonomous Vehicles. His work focuses on creating passenger-aware autonomous systems and improving transportation efficiency through low-cost IoT solutions. Selected Projects include: Independent Mobility for the Elderly (2019): $120,000 Jeffress Trust Award 4-VA Transit Bus Optimization (2015): $37,700 Madison Trust Smart Parking (2016): Cloud-based parking app STEM Outreach (2015): Mobile tech integration for K-12 education Scientific Awards : 2020 Madison Scholar 2018 Virginia Governor's Technology Award 2017 Outstanding Junior Faculty 2017 CFI Engaged Teacher Scholar 2014 IEEE MASS Travel Award Teaching includes courses like Autonomous Vehicles, Wireless Networking, Security & Forensics, and TCP/IP Networks. He emphasizes project-based learning, with students working on real-world problems like parking solutions and transit monitoring systems.

• Transport Engineering
• Traffic modelling
• Microscopic simulation
• +۷ مورد دیگر

Dr. Tuo Mao serves as a Research Fellow at the Data Science Institute within the Faculty of Engineering and Information Technology at University of Technology Sydney (UTS). He also holds visiting scientist status at the Intelligent Mobility group at Data61 CSIRO. With a PhD from University of New South Wales (UNSW), Dr. Mao has established himself as a senior engineer specializing in transportation systems research. Dr. Mao's research interests span Transport Engineering with particular expertise in traffic modelling, microscopic simulation, and traffic signal control and management. His work focuses on vehicle infrastructure integration (VII) systems within intelligent transport systems (ITS), with specific applications in motorway modelling, coordinated ramp metering optimization, and V2I communication wireless connection system modelling. He has developed significant expertise in applying genetic algorithms to traffic signal control plan optimization and specializes in machine learning applications, particularly reinforcement learning, for transportation challenges. His recent publications (2023-2025) demonstrate a clear progression toward AI-driven transportation solutions, with emphasis on digital twins for passenger flow prediction, connected vehicle data analysis for railway safety, and micro-mobility pattern analysis. These works reveal consistent application of machine learning techniques to both recurrent and non-recurrent traffic conditions, with practical implementations across Australian transportation networks. EV Charging as a Service (2024-2026) - Australian Renewable Energy Agency UTS Smart Campus for energy saving (2022-2023) - UTS Central Research Budget V2X freight and emergency vehicle priority trial (2021-2022) - iMOVE CRC Safety and risk evaluation of Train Level Crossings (2021) - Transport for NSW Ai-RAP Automation for Australian Road Safety (2020-2022) - iMOVE CRC Dr. Mao actively contributes to the Future Mobility Lab at UTS, where his team develops integrated approaches to transportation challenges through collaboration with government agencies including Transport for NSW and research consortia like iMOVE CRC. His work bridges theoretical optimization methods with practical transportation solutions across Australian contexts, with particular focus on Sydney's transportation infrastructure.

Gerwin Hoogsteenمشاهده پروفایل

استادیار

• Smart Grids
• Energy Management
• Cyber-Physical Systems
• +۷ مورد دیگر

Gerwin Hoogsteen is an Assistant Professor at the University of Twente, affiliated with the Computer Architecture for Embedded Systems chair. He focuses on smart grids, cyber-physical systems, and applying theoretical research in field-tests. PhD in Decentralized Energy Management (2017, University of Twente) His research integrates machine learning , distributed coordination , and cybersecurity into smart grid optimization. Recent work emphasizes multi-objective optimization for EV charging hubs, energy community resilience, and congestion management. Key article trends include EV charging algorithms , decentralized control , and hybrid storage systems . He contributes to UN SDGs like Climate Action and Affordable Energy . Founder of DEMKit and ALPG open-source software Collaborator in EU projects (SUSTENANCE, SERENE, LocalRES)

• Industrial Economics
• Corporate Finance
• Regulatory Economics
• +۹ مورد دیگر

Prof. Dr. Jörn Sickmann is a Professor of Economics with a focus on industrial economics and corporate finance at Rhine-Waal University of Applied Sciences, where he has been teaching since 2011. He is affiliated with the Faculty of Society and Economics and contributes significantly to research in network industries and digital transformation. His primary research interests include industrial and regulatory economics in network industries, with particular emphasis on telecommunications, digitalization, artificial intelligence, and the digital transformation of transport networks. Additional areas of expertise encompass behavioral and experimental research on financial and network economics, technology acceptance, and digital consumer protection. His work frequently involves expert opinions for major German institutions including the Federal Ministry for Economic Affairs and Energy, the Federal Network Agency, and the Consumer Association of Germany. Prof. Sickmann's recent publication record demonstrates a strong trend toward understanding human interaction with AI and algorithmic systems, particularly in transportation contexts. His research examines trust in algorithms, consumer perceptions of AI, and psychological factors influencing technology adoption, with many studies employing experimental methods to understand decision-making processes in digital environments. His current research projects include: KIE : Artificial Intelligence and Algorithmic Decision Systems: An Empirical and Behavioral Economic Analysis of New Opportunities and Barriers to Digital Consumer Participation (2021-2023, funded by the Federal Ministry for the Environment) CONUS : Competence Net urban-industrial Supply (2020-2023, funded by European Regional Development Fund) Promuove : Incentive and information structures in multimodal transport concepts (2014-2017) Analysis of rounding procedures in the Klever City Network (2016-2017) Before his academic career, Prof. Sickmann worked at Deutsche Telekom AG headquarters and participated in international committees including the OECD's Business and Industry Advisory Committee and the International Chamber of Commerce in Paris. He studied economics at Humboldt University of Berlin, Albert-Ludwigs-University of Freiburg, and the University of Basel, and completed his doctoral work at the Technical University of Ilmenau.

Kepaptsoglou Konstantinosمشاهده پروفایل

استاد

• Transportation Systems Design
• Urban Transport Systems
• Emergency Conditions in Transportation
• +۵ مورد دیگر

Konstantinos Kepaptsoglou is a Professor at the National Technical University of Athens (NTUA) in the Department of Infrastructure and Rural Development Projects. He concurrently holds a professorship at the School of Technical Education for Engineer Officers (STEAMX) since 2007 and previously served as a Scientific Associate at NTUA (2010-2012). He earned his Civil Engineering degree from NTUA (1999), an MSc from Purdue University (2000), and a PhD from NTUA (2009). His research spans transportation systems design , urban transport management, emergency logistics, operations research, and railway engineering. Key interests include optimization of infrastructure under crisis conditions, economic evaluation of transport networks, and developing algorithms for public transit efficiency. His work integrates computational methods with practical infrastructure challenges. Publications consistently focus on optimization models for transportation systems, featuring genetic algorithms, network design frameworks, and decision support tools. Recent articles emphasize disaster response planning, emergency medical services, and public transit operations, reflecting applied research with direct policy implications. Awards: State-of-the-Art in Civil Engineering Award (ASCE, 2011) He teaches core courses including Transportation Systems, Railway Engineering, and Mass Transportation Operations at NTUA. Professional affiliations include the American Society of Civil Engineers, Technical Chamber of Greece, and Hellenic Society of Operations Research.

• Disaster Medicine
• Pediatric Emergency Medicine
• Disaster Planning
• +۳ مورد دیگر

Mark X Cicero is an Associate Professor of Pediatrics (Emergency Medicine) at Yale University School of Medicine, where he serves as Director of Pediatric Disaster Preparedness and Principal Investigator of the Pediatric Research in Disaster Education (PRIDE) program. He holds dual appointments in Pediatric Emergency Medicine and Emergency Medicine departments, reflecting his interdisciplinary expertise in pediatric emergency care and disaster response. Professor of Pediatrics (Emergency Medicine) Director, Pediatric Disaster Preparedness Principal Investigator, Pediatric Research in Disaster Education (PRIDE) Chair, Pediatrics Committee of the National Association of EMS Physicians Member, National Biodefense Science Board Dr. Cicero completed his medical education at State University of New York at Buffalo (MD, 2001), followed by pediatrics residency and chief residency at the Children's Hospital of the King's Daughters, and a Pediatric Emergency Medicine fellowship at Yale University School of Medicine. His research focuses on pediatric disaster medicine, with particular emphasis on improving children's care during disasters through innovative educational strategies and triage systems. Dr. Cicero has designed experiential and didactic curricula in pediatric disaster medicine and has published extensively on disaster medicine educational strategies. His work addresses critical gaps in pediatric emergency preparedness, recognizing that small and large scale disasters over the last 20 years—including disease outbreaks, terrorist attacks, and gun violence—have revealed significant shortcomings in caring for children during emergencies. Analysis of his recent publications shows a consistent focus on pediatric disaster response systems, triage methodologies, and simulation-based training. His work spans from tabletop exercises to large-scale simulations, with particular attention to translating research into practical tools for emergency responders. The evolution of his research demonstrates increasing sophistication in simulation methodologies and growing recognition of the unique needs of children in disaster scenarios. National Award from National Association of Emergency Medical Technicians (2022) Fellow of the American Academy of Pediatrics (FAAP) Dr. Cicero's research is sponsored by Emergency Medical Services for Children and the Agency for Healthcare Research and Quality. He has served nationally as a consultant for prehospital and hospital pediatric disaster preparedness. His firsthand disaster experience includes responding to hurricane Isabel in Norfolk VA and managing an epidemic. He has led Connecticut-wide disaster drills, including a tabletop school bus rollover simulation that promoted a novel hospital disaster readiness checklist. As Director of Pediatric Disaster Preparedness, Dr. Cicero leads initiatives to build resilience for pediatric disaster survivors and has developed PRIDE Pediatric Disaster Triage Training. His work bridges clinical emergency medicine with large-scale disaster response planning, ensuring that children's unique physiological and psychological needs are addressed in emergency protocols.

Douglas Rivetمشاهده پروفایل

استادیار

• Urban Geography
• Geographic Information Systems
• Urban Policy
• +۳ مورد دیگر

Douglas Rivet serves as an Assistant Professor in the Department of Political Science at the College of Charleston, a position he began in Fall 2019. His expertise in geography significantly enhances the department's geography minor program, with a focus on practical applications of spatial analysis in urban contexts. His educational background includes: Ph.D. from Western University M.A. from Western Michigan University B.S. from Eastern Michigan University Rivet's research examines the intersection of urban environments, policy implementation, and rehabilitation outcomes, leveraging Geographic Information Systems (GIS) as a core methodology. With over a decade of local government experience, his work spans property tax assessment in suburban Detroit, agricultural disease analysis in the Great Lakes region, and transportation policy development for Canada's first bus rapid-transit system. His teaching portfolio includes world regional geography, GIS applications, urbanization processes, and urban geography. No scientific awards or honors are documented in the available sources. Information regarding graduate student supervision, research funding, or laboratory facilities is not provided in the source materials.

Nathan Ryanمشاهده پروفایل

استاد

• Computational Number Theory
• Modular Forms
• L-functions
• +۵ مورد دیگر

Nathan Ryan is Professor of Mathematics at Bucknell University and Affiliated Faculty in Latin American, Latinx & Caribbean Studies. Joining Bucknell in 2007, he has received three Fulbright Scholar Grants for research in Uruguay (2009), Ecuador (2017), and Costa Rica (2022), and spent a sabbatical year in Uruguay (2013-2014). Education: Ph.D. in Mathematics, Dartmouth College M.A. in Mathematics, Dartmouth College B.A. in Mathematics, Bard College Research Focus: Ryan maintains dual research programs in computational number theory (proving theorems and developing algorithms for modular forms and L-functions) and applied data science (interdisciplinary student projects spanning healthcare, transportation, film studies, and social justice). His work bridges theoretical mathematics with real-world applications through community-based projects. Publication Trends: Recent publications (2022-2024) increasingly integrate number theory with social impact, particularly in algorithmic fairness (e.g., carceral system analysis) while maintaining core contributions to modular forms and L-function theory. Collaborations with undergraduate researchers appear consistently across all publications since 2010. Awards: Fulbright Scholar Grant to Uruguay (2009) Fulbright Scholar Grant to Ecuador (2017) Fulbright Scholar Grant to Costa Rica (2022) Advising & Grants: Ryan mentors undergraduate researchers through Bucknell's departmental projects and honors theses, with students contributing to publications in medical informatics, film studies, and criminal justice. His Fulbright grants directly fund international research collaborations, while campus partnerships (e.g., Geisinger Health System, Film and Media Studies) support applied data science projects. He actively recruits students with programming skills for computational mathematics work. Teams & Affiliations: As an affiliate of Bucknell's Institute for the Quantitative Study of Inclusion, Diversity, and Equity, Ryan contributes quantitative expertise to social justice research. He serves as editor for Frontiers for Young Minds and collaborates across disciplines with Geography, Psychology, Film Studies, and Computer Science departments on ongoing projects including school bus routing optimization and Hollywood color analysis.