Find Academic Supervisors

Claire O'DonnellView profile

Associate Professor

• Nursing
• Healthcare Management
• Missed Nursing Care
• +7 more

Claire O'Donnell is an Associate Professor at the University of Limerick's School of Nursing & Midwifery. She holds key administrative roles including Course Director for the BSc Nursing (General) programme and Department International Coordinator, overseeing international collaborations with institutions in Ghana and the USA. Her research focuses on nursing workforce constraints, missed care, stroke care, and interprofessional practice, informed by grounded theory methodologies. She has contributed to global health initiatives addressing perinatal mental health access for refugee women and cultural competence in healthcare education. Educationally, O'Donnell holds a PhD (2016) and MSc (2006) from University College Cork. Her work aligns with UN Sustainable Development Goals, particularly in education and health equity. She has received the PhD Medicine and Health award in 2016. Research interests span workforce planning, clinical supervision, and intercultural nursing education. She has led collaborative projects on peer group clinical supervision and breastfeeding education outcomes. Her recent work highlights pandemic impacts on mental health and nurse resilience strategies. Academic supervision includes over 40 publications and collaborative international grant activities. Key Collaborations: University of Cape Coast (Ghana), University of Minnesota (USA) Labs/Teams: Supportive and Palliative Care Research Cluster Grants: Funding for transnational educational programs and perinatal mental health initiatives

• Aircraft Systems Engineering
• Avionics
• Integrated Modular Avionics (IMA)
• +12 more

Prof. Dr.-Ing. Frank Thielecke is a full Professor and the head of the Institute of Aircraft Systems Engineering (Flugzeug-Systemtechnik) at Technische Universität Hamburg (TUHH), Germany. His research is centered on advanced aircraft systems, avionics, flight control, and the integration of emerging technologies such as hydrogen and hybrid-electric propulsion. Institution: Technische Universität Hamburg Department: Institute of Aircraft Systems Engineering (Flugzeug-Systemtechnik) Email: frank.thielecke@tuhh.de Office: Neßpriel 5, Room 1.012, 21129 Hamburg His research interests include integrated modular avionics (IMA), model-based systems engineering (MBSE), aircraft load estimation, health monitoring, fault diagnosis, and sustainable aviation technologies. He leads a research group actively contributing to next-generation aircraft design, with a strong focus on digitalization, virtual testing, and system safety. The recent publications highlight a consistent trend in developing model-based tools and architectures for avionics and aircraft systems. Key themes include the design of IMA platforms, virtual integration, system validation, hydrogen aircraft systems, and control algorithms for UAVs and flexible aircraft. His work frequently appears in AIAA, DASC, DLRK, and CEAS conferences and journals. Prof. Thielecke has been involved in numerous collaborative research projects focusing on more-electric aircraft, fuel cell systems, and advanced actuation. He has contributed to the development of frameworks such as ASHLEY and SArA for avionics platform design and systems architecting. His team also works on noise reduction in hydraulic systems and condition monitoring for aircraft subsystems. He supervises a group of researchers and PhD students, many of whom co-author his publications. While specific student names are not listed, long-term collaborators like Oliver Luderer, Thimo Bielsky, Nils Külper, and Philipp Chrysalidis are likely doctoral candidates or postdoctoral researchers in his group. He has secured funding for projects related to hydrogen aircraft, hybrid propulsion, and digital avionics engineering. His lab, the Institute of Aircraft Systems Engineering, operates test benches for avionics, hydraulic systems, and flight control validation. The team uses advanced simulation, co-simulation (e.g., FMI), and hardware-in-the-loop techniques for virtual integration and testing. Ongoing work includes the development of tools for early validation of flight control platforms and automated requirement-based testing.

Eric Josef Ribeiro ParteliView profile

Researcher

• Geophysics
• Computational Geosciences
• Granular Physics
• +4 more

Dr. Eric Parteli is a Heisenberg Group Leader at the Faculty of Physics, University of Duisburg-Essen , with affiliations to the University of Cologne (Computational Geosciences) and The University of Alabama . He leads research on Earth surface particulate materials and their dynamics under wind, fluvial processes, and gravitational forces. Current and former students include PhD candidates, Master/Bachelor candidates, and research assistants like Cong Jiang , Maria Determann , Mateusz Kryger , and Joel Jankowiak . His group develops computational tools to model particle interactions and feedbacks with geomorphology, biosphere, and atmosphere across scales, with applications in climate science, planetary geophysics, and natural hazard risk assessment. Key research themes include aeolian processes , hydrological modeling , granular material behavior , and coupled Earth surface systems . No scientific awards are explicitly mentioned in the provided texts. His lab operates from Room MG 364 at the University of Duisburg-Essen and collaborates with the Computational Geosciences department at the University of Cologne. Recent publications highlight anomalous scaling in sand transport , angle of repose modeling , and regional hydrological systems in arid environments.

• Grassland Ecology
• Forage Science
• Sustainable Livestock Production
• +4 more

Juan Solomon serves as an Associate Professor in the Department of Agriculture, Veterinary and Rangeland Sciences at the University of Nevada, Reno. His research lab operates from Building FA, Room 226d (Mail Stop 202), with direct contact via (775) 784-6888 or juansolomon@unr.edu. Education: B.S. in Agriculture, University of Guyana (2000) Graduate Diploma in Education-Science, University of Guyana (2005) M.S. in Agriculture, Mississippi State University (2010) Ph.D. in Agriculture, Mississippi State University (2013) Research Focus: Dr. Solomon's work centers on grassland ecology and sustainable pastoral systems for ruminant livestock, with emphasis on grazing management, forage quality evaluation, and drought-tolerant crop development. His research program investigates water use efficiency in semiarid forage systems, nutrient cycling dynamics, and climate-resilient crop screening—particularly for native and improved forages in arid western environments. Field studies often integrate ecosystem service valuation with practical livestock production metrics. Publication Trends: Recent work (2023-2025) demonstrates concentrated expertise in alternative forage systems, with 15 high-impact studies examining teff double-cropping, industrial hemp varietals, and cover crop nutrient cycling in Nevada's semiarid landscapes. Key methodological approaches include deficit irrigation analysis, nitrogen optimization trials, and biomass decomposition modeling—all targeting resource-efficient agricultural solutions for water-limited regions.

Kathrin FlaßkampView profile

Professor

• Control Systems
• Robotics
• Applied Mathematics
• +3 more

Kathrin Flaßkamp is a Professor at Saarland University, specializing in the Department of Systems Engineering. Her work focuses on modeling and simulation of technical systems, with applications spanning robotics, optimal control, and biomedical engineering. She is based at Campus A5 1, Room 1.04, Saarbrücken. Her research integrates control theory, artificial intelligence, and optimization to address challenges in mobile robotics, autonomous vehicles, and medical devices. A key trend in her recent articles involves leveraging model predictive control, neural networks, and Koopman operators for energy-efficient and cooperative trajectory planning. She also explores applications in stereotactic neurosurgery using continuum robots, emphasizing precision and adaptability. Her work frequently bridges theoretical advancements with real-world engineering problems, including systems with symmetries, multi-agent coordination, and data-driven methods for dynamical systems. Despite no explicit awards listed, her contributions to optimal control and robotics are evident in her extensive publication record.

Sangmin ShinView profile

Assistant Professor

• Water Resources Engineering
• Integrated Water Resources Management
• Critical Infrastructure Modeling
• +6 more

Sangmin Shin is an Assistant Professor in the Department of Civil Engineering at the Southern Illinois University College of Engineering. His research focuses on integrated water resources management, critical interdependent infrastructure modeling, water cyber-physical-social systems, artificial intelligence applications, urban water sustainability and resilience, socio-environmental hydrology, multi-objective optimization, and systems analysis. PhD: Civil and Environmental Engineering, University of Utah (2016-2020) MS: Civil and Environmental Engineering, Korea Advanced Institute of Science and Technology (KAIST) (2008) BS: Civil Engineering, Pusan National University (2006) Shin leads the SciWater Lab, which investigates smart and connected infrastructure for water systems under uncertainty. Key strategies include: increasing infrastructure variety, building cyber-physical-social networks, and integrating feedback interactions between critical systems. The lab aims to transform water infrastructure through interdisciplinary approaches involving communities, engineers, and policymakers. His research portfolio demonstrates trends in: climate change adaptation (14% of publications), infrastructure resilience (22%), AI applications (18%), socio-hydrology (12%), and systems thinking (16%). Notable methodologies include system dynamics modeling, modern portfolio theory, and cyber-physical attack simulations. Postdoc Travel Assistance Award (University of Utah, 2019) Best Paper Presentation Award (Korean Society of Disaster & Security, 2015) Contact: Engineering B, Room 34, 1230 Lincoln Drive, Carbondale, IL 62918, USA | Phone: 618-453-3325 | Email: sangmin.shin@siu.edu

• Biomedical Sciences
• Pain Research
• Chronic Pain Management
• +4 more

Dr. Eija Kalso is a Research Director at University of Helsinki's Clinicum and holds the title of Associate Professor . She supervises doctoral programs in Biomedicine, Clinical Research, and Drug Research, with a focus on pain management and neurobiology of disease . Key Research Areas : Chronic pain, circadian rhythm disruption in pain states, pharmacogenomics of analgesics, CRPS, and neuropathic pain mechanisms Recent Trends : 2025 publications emphasize circadian transcriptomics , opioid alternatives , and genotype-driven pain therapy Awards : Konrad ReijoWaara Prize (2007, 2007) Finnish Medical Association Best Textbook Award (2010) Academy of Finland Membership (2010) Arkkiatri Risto Pelkonen Award (2012) Active in European pain research networks , she leads projects like "Sleep and Stress in Pain Transitions" (Finnish Medical Association funding) and participates in international GLORIA consortium targeting glial-opioid receptor interfaces. Her 214+ activities include conference organizing and peer review roles.

• Logistics
• Supply Chain Management
• Industrial Engineering
• +2 more

Prof. Günter Kummetsteiner serves as a Professor in the Department of Industrial Engineering and Healthcare within the Faculty of Industrial Engineering and Health at Amberg-Weiden University of Applied Sciences. His office is located in Weiden's main building, Room 045, with contact details including phone (+49 961 382-1612) and email (g.kummetsteiner@oth-aw.de). His academic focus centers on Integrated Logistics Systems , spanning industrial engineering applications and healthcare logistics optimization. Research interests include supply chain integration, systems engineering for healthcare delivery, and operational efficiency in complex logistics networks. His work bridges theoretical engineering frameworks with practical healthcare sector implementations. Office hours are by email appointment only, reflecting his active engagement in current academic duties. No formal advising relationships, research teams, or laboratory facilities are documented in available institutional records.

Fani LauermannView profile

Professor

• Academic motivation
• Educational psychology
• Educational trajectories
• +3 more

Fani Lauermann is a Professor of Empirical Educational Research and Educational Psychology at the University of Bonn, where she is affiliated with the Bonn Center for Teacher Education (BZL). She also serves as a Co-opted Member of the Department of Psychology at the University of Bonn and maintains a research affiliation with the Institute for Research on Education and School Development (IFS) at TU Dortmund University. Her work bridges educational psychology and teacher education through empirical research on motivation and learning processes. Dr. Lauermann earned her Ph.D. from the Combined Program in Education and Psychology at the University of Michigan (2008-2013) following her Diplom-Psychologist degree at the University of Bonn, Germany (2001-2006). Her academic journey includes postdoctoral research in the Gender and Achievement Research Program (GARP) at the Institute for Social Research at Michigan. Her research program centers on three interconnected domains: academic motivation and achievement, educational trajectories and occupational choices, and teacher motivation and teaching quality. She frequently applies expectancy-value theory to understand motivational processes across educational contexts, with particular attention to gender differences in academic choices. Recent methodological approaches include longitudinal designs, multilevel analyses, and cross-cultural comparisons, often examining how students' and teachers' beliefs influence academic trajectories and outcomes in math-intensive study programs. Analysis of her recent publications (2022-2025) reveals a strong focus on gender disparities in educational choices, particularly in STEM fields, as well as the role of comparative processes in forming academic self-concepts. Her work increasingly examines teacher self-efficacy, responsibility beliefs, and their impact on classroom processes, with growing attention to online learning environments and their implications for student motivation and belonging. Dr. Lauermann has held significant editorial positions including Associate Editor for Learning and Instruction (2018-2021) and editorial board membership for Journal of Educational Psychology, Journal of Learning and Instruction, Contemporary Educational Psychology, and Educational Psychologist. She served as elected coordinator for EARLI SIG-08 "Motivation and Emotion" from 2017-2021, representing members from over 30 countries. Dr. Lauermann advises several graduate students who have received recognition for their work, including Daria Benden (Paul R. Pintrich Award winner) and Sirui Wan (Graduate Student Research Excellence Award recipient from Division C at AERA 2022). Her research group collaborates with international scholars, notably Eccles, Wigfield, and Bailey on expectancy-value theory research, and with German colleagues at TU Dortmund on the FAIR research profile area. Dr. Lauermann's research contributes to understanding how motivational processes operate across different educational contexts, with implications for teacher education and classroom practice. Her work continues to advance theoretical models of motivation while providing practical insights for educators seeking to support students' academic development across domains.

John PoteView profile

Senior Lecturer

• Environmental Science
• Aquatic Microbiology
• Environmental Pollution
• +7 more

Dr. John Pote is a Senior Lecturer and Researcher at the F.-A. Forel Department of Environmental and Water Sciences, Faculty of Sciences, University of Geneva. He has been a scientific collaborator at the university since 2004, following prior assistant roles at UNIGE and institutions in the Central African Republic and Democratic Republic of the Congo. His work integrates environmental chemistry, microbiology, and risk assessment in aquatic systems. Research Interests: Identification and prevention of organic and inorganic micropollutants (PCBs, PAHs, antibiotics, heavy metals) in lake water and sediments Risk assessment of genetically modified organisms (GMOs) and transgenic DNA transfer in the environment 16S and 18S rRNA characterization of microbial communities in sediment profiles for climate change studies Pharmaceutical pollution in global river systems The trend in his recent publications centers on global environmental contamination, particularly pharmaceuticals in surface waters. His 2022 study in PNAS assessed pharmaceutical pollution across 104 countries, revealing significant ecological and human health risks in over 25% of sampled sites. This work underscores his leadership in international environmental monitoring and policy-relevant science. Scientific Awards and Recognition: No formal awards explicitly mentioned in the provided text. Advising and Grants: Dr. Pote actively supervises and co-directs doctoral theses and postgraduate diplomas. He has been involved in municipal environmental projects related to waste management, wastewater treatment, and general sanitation planning. His roles combine research leadership with practical environmental consultancy. Laboratories and Teams: He manages the aquatic microbiology laboratory and clean room at the University of Geneva and is responsible for trace metal analyses using ICP-MS. He also serves as the Chemical and Biological Safety Officer, indicating leadership in lab operations and safety protocols.

Laura K. JonesView profile

Visiting Assistant Professor

• Medical Anthropology
• Surgical Team Dynamics
• Healthcare Communication
• +5 more

Laura K. Jones is a Visiting Assistant Professor in the Department of Anthropology at Emory University. Her academic background includes a PhD in Anthropology from Rice University (2010), postdoctoral fellowships at the Yerkes National Primate Center and Emory University School of Medicine, and additional training at institutions like Tulane University and the University of Texas Health Science Center. Her research focuses on surgical team dynamics, healthcare communication, and the application of anthropological methods to medical settings. Notable work includes studies on operating room behavior, telehealth innovation, and the impact of hierarchy in surgical environments. Dr. Jones has received prestigious awards such as the 2010 Graduate Student Paper Prize from the Society for Medical Anthropology and the Josephine Louise Newcomb Fellowship. She has secured research grants totaling over $174,000, including projects on interprofessional communication in operating rooms and mitigating medical errors through team-based approaches. Her interdisciplinary work bridges anthropology, bioinformatics, and clinical practice, with a particular interest in wearable technology and mindfulness integration in healthcare. Professional activities include roles as Principal Investigator at Kaiser Permanente and BioSelf Technology, as well as teaching and mentoring at Emory and Rice Universities. She has presented over 20 scholarly talks and posters at conferences like the American Anthropological Association meetings, focusing on topics ranging from ethological methods in surgery to medical error prevention strategies.

• Signal Processing
• Machine Learning
• Acoustics
• +7 more

Luis Antonio Azpicueta Ruiz is an Associate Professor in the Department of Signal Theory and Communications at Carlos III University of Madrid. He leads research in the Signal Processing and Learning Group (GTSA) and Machine Learning for Data Science (ML4DS) group, focusing on interdisciplinary applications spanning acoustics, telecommunications, and machine learning. Research Interests: His work bridges signal processing theory with practical applications in environmental acoustics, adaptive filtering systems, and machine learning. Key research themes include: Advanced adaptive filtering architectures for nonlinear systems Distributed estimation in sensor networks Acoustic echo cancellation and room equalization Psychoacoustic evaluation methods Machine learning applications in noise monitoring and sound analysis Research Projects: Principal investigator for multiple funded projects including: Diagnóstico del ruido de chorro en aeronaves (AEI, 2022-2025) LearnINg FLow and Noise Dynamics via AI (COMUNIDAD DE MADRID, 2024-2026) BODYinTRANSIT - Sensory-driven Body Transformation (EUROPEAN COMMISSION, 2022-2026) Aprendizaje Automático para análisis Big Data (MINISTERIO DE ECONOMÍA, 2018-2021)

Ciriaco D'AmbrosioView profile

Researcher

• Combinatorial Optimization
• Heuristics
• Metaheuristics
• +4 more

Ciriaco D'Ambrosio is a Research Fellow at the Department of Mathematics, University of Salerno, specializing in combinatorial optimization and its applications to wireless sensor networks. He teaches courses in operations research and maintains regular reception hours for students on Tuesdays (3:00-5:00 PM) and Wednesdays (4:00-5:00 PM), conducted both in-person and via Microsoft Teams. Education: PhD in Computer Science, University of Salerno (2015) - Thesis: models and algorithms for coverage in Wireless Sensor Network Laurea cum laude in Computer Science, University of Salerno (2011) Research Focus: D'Ambrosio specializes in combinatorial optimization, developing heuristics, metaheuristics, and math-heuristics for mixed integer linear programming problems. His work addresses challenging optimization problems in wireless sensor networks, particularly network lifetime maximization under coverage, connectivity, and interference constraints. His research bridges theoretical computer science with practical applications in sensor network design, seismic monitoring systems, and resource allocation problems. His methodology often combines exact approaches with sophisticated heuristic techniques to solve computationally difficult problems. Publication Trends: Analysis of D'Ambrosio's publications (2017-2025) reveals a progression from foundational work on sensor network lifetime problems toward increasingly sophisticated algorithmic approaches for combinatorial optimization. His recent work shows expansion into seismic monitoring applications while maintaining strong focus on knapsack problem variants and network optimization. His publications appear in high-quality journals including Soft Computing, Computers & Operations Research, and Networks, demonstrating both theoretical rigor and practical relevance of his research. Professional Activities: Member of the Italian Operations Research Society (AIRO) Associate Editor for Soft Computing, A Fusion of Foundations, Methodologies and Applications Active collaborator with researchers including Andrea Raiconi, Raffaele Cerulli, and Francesco Carrabs Research Infrastructure: D'Ambrosio works within the Department of Mathematics at University of Salerno's Fisciano Campus (Building F2, Room 040). His research contributes to the university's growing expertise in computational optimization and has practical applications in environmental monitoring systems like SEISMONOISY.

Kirill DjebkoView profile

Researcher

• Artificial Intelligence
• Machine Learning
• Optimization Algorithms
• +4 more

Kirill Djebko is a researcher at the Chair of Computer Science VI - Artificial Intelligence and Knowledge Systems within the Institute of Computer Science, Faculty of Mathematics and Computer Science at the University of Würzburg . His work spans AI-based optimization systems , autonomous spacecraft operations , and deep reinforcement learning applications. Doctorate completed in 2020 Active in research since 2015 Key projects: KINERGY (heating system optimization), VeriKI (AI verification for space), LeLaR (AI attitude control for nanosatellites) Research focuses on metaheuristics , genetic algorithms , regression algorithms , and deep reinforcement learning for practical applications. His work integrates digital twin modeling , decision support systems , and AI robustness in industrial and space contexts. Recent publications (2024-2016) analyze heating system optimization , spacecraft fault detection , and autonomous nanosatellite operations . These studies emphasize sim-to-real-world transfer , data-driven calibration , and AI quality assurance in complex environments. Current affiliations include the Center for Artificial Intelligence and Data Science (CAIDAS) . Contact details: Email - kirill.djebko@uni-wuerzburg.de | Phone +49 931 31-86405 | Room 03.010, Emil-Fischer-Straße 50, Würzburg.

Dorota ChwiedukView profile

Professor

• Solar Energy
• Renewable Energy Systems
• Building Energy Efficiency
• +11 more

Professor Dorota Chwieduk is a distinguished faculty member at the Division of Refrigeration and Energy in Buildings within the Faculty of Power and Aeronautical Engineering at Warsaw University of Technology. She serves as Deputy Director of the Institute of Heating Engineering and heads the Post Diploma Study program on Energy Efficient Buildings, Energy Characteristics of Buildings, Energy Auditing and Thermal Refurbishment. With a career spanning decades, Professor Chwieduk has established herself as a leading expert in solar energy applications and building energy efficiency. Her research focuses on unconventional energy conversion methods, solar technologies, heat transfer in buildings, renewable energy systems integration, thermal energy storage (including phase change materials), and energy performance assessment. She has published extensively in these fields, with numerous high-impact journal articles and book contributions. Solar Energy in Buildings: Thermal Balance for Efficient Heating and Cooling (Elsevier, 2014) Multiple publications on PV/T systems, building-integrated solar technologies, and thermal energy storage Research on high latitude building design and energy performance Professor Chwieduk's work demonstrates consistent focus on practical applications of renewable energy technologies in building systems, with particular attention to climate-specific design considerations and energy optimization. Her research bridges theoretical modeling with practical implementation, contributing significantly to advancing sustainable building technologies. Scientific Awards: Gold Medal from President of Republic of Poland for Long Service for the Country (2013) Best Scientific Achievements award from Rector of Warsaw University of Technology (2012) Pioneer of Renewable Energy award by World Renewable Energy Network (2008) Promoter of Renewable Energy award by Clean Energy magazine (2006) Throughout her career, Professor Chwieduk has actively contributed to national and international energy policy development, serving on numerous expert committees and leading significant research projects focused on renewable energy integration and building energy efficiency. Her work has influenced both academic research and practical implementation of sustainable building technologies in Poland and internationally.