Find Academic Supervisors

• Crop Science
• Sustainable Agriculture
• Cover Crops
• +4 more

Sabine Kurz is a researcher at the Nürtingen-Geislingen University of Applied Sciences (HfWU), affiliated with the Faculty of Agricultural Sciences and Department of Crop Science. Her work focuses on practical agricultural research with emphasis on sustainable farming practices, crop production systems, and soil management techniques. Dr. Kurz's research interests center on sustainable agricultural systems with particular expertise in cover cropping, weed management, soil conservation, and nutrient cycling. Her work bridges theoretical agricultural science with practical field applications, focusing on solutions for both conventional and organic farming systems. She investigates how crop management techniques affect yield, soil health, and environmental sustainability. Analysis of her recent publications reveals a strong focus on cover crops and their multifaceted benefits including weed suppression, soil moisture conservation, and nitrogen management. Her research demonstrates how strategic crop establishment methods and intercropping systems can enhance agricultural productivity while reducing environmental impacts. The consistent theme across her work is developing practical, evidence-based solutions for contemporary agricultural challenges. While specific awards are not documented in the available materials, her research has been published in reputable agricultural journals including Landtechnik, BWagrar, bioland, and The Journal of Agricultural Science, indicating recognition within the agricultural research community. Dr. Kurz frequently collaborates with colleagues at HfWU including J. Hartung, M. Müller-Lindenlauf, and B. Benz, suggesting active participation in research teams focused on applied agricultural science. Her publications indicate involvement in field trials and experimental research conducted at the university's agricultural facilities.

Ágnes Vathy-FogarassyView profile

Associate Professor

• Machine Learning
• Artificial Intelligence
• Data Science
• +5 more

Ágnes Vathy-Fogarassy is Habilitated Associate Professor and Head of the Department of Computer Science and Systems Technology at the University of Pannonia's Faculty of Engineering and Informatics. She also serves as the Rector's Commissioner for Artificial Intelligence Education and Development and the Dean's Representative for Quality Assurance and Accreditation. Additionally, she leads the Data-intensive Artificial Intelligence Methods and Systems Research Laboratory and the Healthcare Analytics Research and Development Center. Her educational background includes: PhD in Information Science (2009) Studies at Eötvös Loránd University in Computer Science (1999-2007) Studies at University of Pannonia in Computer Science (1995-1998) Mathematics-Physics and Computer Science Teacher training at Berzsenyi Dániel Teacher Training College (1995) Ágnes Vathy-Fogarassy's research focuses on machine learning, artificial intelligence, data science, and their applications in healthcare . Her work spans predictive analytics, network analysis, and medical informatics, with a particular emphasis on developing AI methods for healthcare data analysis. She has pioneered approaches for N-glycomics-based biomarker discovery, cancer treatment prediction, and heart failure risk assessment using machine learning techniques. Her interdisciplinary research bridges computer science with medical applications, creating innovative solutions for healthcare challenges. Her recent publications demonstrate a strong trend toward applied AI in healthcare , with significant work on diabetes classification, chemotherapy effectiveness prediction, and cardiovascular risk assessment. She also maintains active research in automotive AI applications (vehicle dynamics prediction) and renewable energy optimization (solar power plant modeling). Her work consistently combines theoretical machine learning advancements with practical implementations across diverse domains. Her notable scientific achievements include: László Méray Award, University of Pannonia (2024) Tarján Memorial Medal, John Neumann Computer Science Society (2022) Pro Sciencia Award, University of Pannonia (2021) Veszprém Women's Roundtable Association Women's Empowerment Award (2019) Pro Universitate Pannonica silver medal (2017) PE-MIK Best Female Instructor (2017) As an academic advisor, Ágnes Vathy-Fogarassy has successfully guided multiple PhD students to completion, including Dániel Leitold (2020), Szabolcs Szekér (2024), and János Kontos (2025). She currently supervises several ongoing doctoral research projects with Attila Knolmajer, Tamás Miseta, Veronika Gombás, and Eszter Szakács. Her commitment to talent development is evident through her students' numerous Best Paper awards at international conferences and successful TDK papers. She has developed the curriculum for several data science subjects and established the Data Science master's program at the University of Pannonia in 2023. She leads two major research entities: the Data-intensive Artificial Intelligence Methods and Systems Research Laboratory (founded 2021) and the Healthcare Analytics Research and Development Center (founded 2017). These teams focus on cutting-edge AI research with particular emphasis on healthcare applications, bringing together interdisciplinary researchers to tackle complex data challenges in medical domains.

Beatrice PodtschaskeView profile

Professor

• Healthcare Management
• eHealth
• Human Factors Engineering
• +6 more

Professor Beatrice Podtschaske serves as Professor of Healthcare Management & eHealth at the Flensburg University of Applied Sciences, Faculty of Business and Economics. She also holds the important position of Vice President for Curriculum Development, Digitalization, Equality and Diversity at the university. Her work focuses on bridging healthcare management with digital innovation, particularly in developing human-centered approaches to healthcare technology and processes. Dr. Podtschaske's research interests span multiple critical areas in modern healthcare: human-centered design of healthcare systems (Human Factors Engineering), user-centered innovation and implementation processes, and the integration of eHealth, robotics, and artificial intelligence in healthcare settings. Her work specifically addresses how technology can better serve patients and healthcare professionals through thoughtful design that considers the complex realities of medical environments. Her recent publications demonstrate consistent focus on healthcare system optimization, particularly examining critical care information systems, patient safety, and the implementation of digital tools in medical settings. The research trends show increasing attention to artificial intelligence applications in healthcare, particularly in end-of-life care contexts through her CARE-AI project and FLAIR (Flensburg Artificial Intelligence Research) initiatives. Dr. Podtschaske is currently leading efforts to build a new nursing degree program at the university to address workforce shortages in healthcare. She is also actively involved with the Institute for eHealth and Healthcare Management (IEMG), where she serves as a contact person for business administration, academic student advising, and internships with a focus on healthcare management. Her career path includes significant international experience, having worked at Stanford University Hospital in patient safety and built a user research group at a medical technology company in Silicon Valley. This practical industry experience informs her academic work, giving her research strong real-world applicability and relevance.

Grace DibbenView profile

Researcher

• Systematic reviews and meta-analyses
• Quantitative research methods
• Physical activity and health
• +5 more

Dr. Grace Dibben is a Research Associate working within General Practice and Primary Care at the School of Health and Wellbeing, University of Glasgow. She serves as a statistician for the cardiac rehabilitation Cochrane review centre and provides research support across multiple projects focused on physical activity, cardiac rehabilitation, and multimorbidity. Her educational background includes: BSc in Mathematics and Sport and Exercise Sciences from the University of Chester MSc in Cardiovascular Rehabilitation from the University of Chester PhD in Medical Studies from the University of Exeter, where she investigated the effect of cardiac rehabilitation on physical activity levels of patients with heart failure Dr. Dibben's research interests span systematic reviews and meta-analyses, quantitative research methods, physical activity and health, physical activity measurement methods using accelerometry, cardiac rehabilitation, multiple long-term conditions, lifestyle behavior change, and randomized controlled trials. Her expertise particularly shines through in developing improved methods to measure physical activity intensity using accelerometers in clinical populations, especially heart failure patients. She has made significant methodological contributions to research design and measurement standards in physical activity research. Her recent publications demonstrate a strong focus on cardiac rehabilitation, physical activity measurement, and multimorbidity. She has contributed extensively to systematic reviews and meta-analyses on exercise-based interventions across various conditions through the Cochrane review centre. Her work often addresses how to improve cardiac rehabilitation programs, how to better measure their effectiveness, and how to extend evidence-based approaches to people with multiple long-term conditions. Dr. Dibben is actively involved in several major research initiatives including developing SPIRIT, CONSORT and STROBE extensions for accelerometry reporting guidance, the PERFORM research programme on personalized exercise-rehabilitation for people with multiple long-term conditions funded by NIHR, and the GLOBAL-DATA-MATCH international collaboration examining exercise-based cardiac rehabilitation across cardiovascular disease populations. She has supervised students including Hussein, Hadeel Sayed Ahmed, and has been involved in grant-funded research such as 'Handling multiple outcomes in Randomized Controlled trials' and 'Cost-effectiveness analysis of health protection interventions for Inclusion Health populations' funded by the UK Health Security Agency (2024-2025). Dr. Dibben is experienced in quantitative research methods, using accelerometry to measure physical activity, cardiac rehabilitation and systematic reviews and meta-analysis, with a track record of international presentations including at the ACSM Annual Meeting in Orlando, USA (2019).

Joseph E. GonzalesView profile

Associate Professor

• Latent Variable Modeling
• Longitudinal Data Analysis
• Multivariate Dynamics
• +3 more

Joseph E. Gonzales serves as Chair and Associate Professor in the Department of Psychology at the University of Massachusetts Lowell, College of Fine Arts, Humanities and Social Sciences. He holds dual affiliations as an Associate of the Center for Women and Work (CWW) and Faculty Member of the Center for Health Statistics. Education: Ph.D. in Quantitative Psychology, University of California, Davis M.A. in Experimental Psychology, California State University, Stanislaus B.A. in Experimental Psychology, California State University, Stanislaus His methodological research spans latent variable modeling, longitudinal data analysis, and intensive multivariate dynamics, with specific focus on time series analysis of daily diary data, measurement model validity, unobserved subgroup identification, and innovative research design frameworks. He pioneers choose-your-own-adventure paradigms to study complex behavioral phenomena while advancing statistical methodologies for ergodicity and measurement invariance. Publication trends reveal strong integration of computational paradigms with psychological theory, particularly in developing novel methods for sensitive topics like sexual assault behavior and criminal decision-making, alongside foundational contributions to structural equation modeling and affective dynamics modeling. Honors include: University of Massachusetts Lowell Faculty Mentoring Graduate Students Award (2021) University of Massachusetts Lowell Teaching Excellence Award (2020) Summer Internship Program in Research for Graduate Students (2015) ETS-NAEP Testing, Evaluation, Assessment, & Measurement Fellow (2014) Society of Measurement and Experimental Psychology Graduate Student Poster Travel Award (2014) American Psychological Association Student Travel Award (2014) Western Psychological Foundation Student Scholarship Award (2012) Dean’s Medal of Excellence (2010) Graduate Student of the year (2009) As Co-PI on a $2.5M AHRQ R01 grant (2022-2027), he models moral distress impacts on nurses' health and safety culture. He previously led an American Psychology-Law Society grant (2021-2022) analyzing attention dynamics in virtual court hearings. His graduate student mentoring earned university recognition in 2021. Through the Center for Women and Work and Center for Health Statistics, he drives interdisciplinary collaboration on gender, work psychology, and health measurement systems.

Eberechukwu OnukwughaView profile

Professor

• Pharmacoeconomics
• Health Outcomes Research
• Health Disparities
• +9 more

Eberechukwu Onukwugha is a Professor in the Department of Pharmaceutical Health Services Research at the University of Maryland School of Pharmacy, where she also serves as the Executive Director of the Pharmaceutical Research Computing center and Program Director of the PhD program in PHSR. She holds a PhD in Economics from Virginia Tech and completed a postdoctoral fellowship in pharmacoeconomics at the University of Maryland. University: University of Maryland School of Pharmacy School: School of Pharmacy Department: Department of Pharmaceutical Health Services Research Academic Rank: Professor Her research focuses on pharmacoeconomics, health disparities, medical decision-making, and cost-effectiveness analysis, particularly in oncology and cardiovascular disease. She employs advanced statistical and econometric methods to evaluate healthcare interventions and disparities in treatment access and outcomes. The most recent articles demonstrate a strong trend in health economics, observational study methodology, and disparities research, particularly in cancer care. Her work frequently uses large datasets like SEER-Medicare to assess treatment patterns, costs, and survival outcomes. Key themes include the economic burden of chronic diseases, pharmacogenetics, and the impact of social determinants on health outcomes. Contributed Research Award: Best New Investigator Podium Presentation, ISPOR 2006 Contributed Research Award: Best Podium Presentation, ISPOR 2009 Best Student Podium Presentation, ISPOR 2013 Lee B. Lusted Student Prize, Society for Medical Decision Making, 2013 Foreword: Big Data and Health Disparities Research, 2017 Dr. Onukwugha has successfully mentored PhD students including Candice Yong and Jinani Jayasekera, and has secured significant research funding as Principal Investigator from the American Cancer Society, AHRQ, NIH, and pharmaceutical partners. Her editorial roles at PharmacoEconomics and Ethnicity & Disease reflect her leadership in the field. She is actively involved in professional service, including advisory roles and program leadership within the School of Pharmacy. She leads the Pharmaceutical Research Computing center, which supports data-intensive health services research, and her work bridges economics, epidemiology, and clinical practice to inform policy and improve patient care.

Sascha GöbelView profile

Researcher

• Political Science
• Digital Governance
• Political Behavior
• +3 more

Sascha Göbel is a Researcher at the Hertie School's Data Science Lab. He holds a PhD in Political Science from the University of Konstanz and previously served as a postdoctoral researcher at Goethe University Frankfurt. His work bridges digital technologies and political processes, focusing on computational methods to analyze political behavior, public opinion, and legislative dynamics. He co-developed the Comparative Legislators Database (CLD), a widely used resource for political data, and has published on topics such as social identification via conjoint experiments, citizen responses to international conflicts, and the interplay between voting and social media participation. Research Interests: Application of data-intensive computational approaches in political science Digital governance and information technologies in politics Social identity measurement using innovative experimental designs Legislative behavior analysis through integrated datasets Recent Work Trends: Recent publications explore urban/rural consciousness divides, Ukraine crisis public opinion dynamics, and methodological advancements in measuring multidimensional social identities. His work often combines experimental methods with large-scale computational analysis. Labs & Teams: Core contributor to the Hertie School Data Science Lab and co-developer of the Comparative Legislators Database (CLD), collaborating with institutions like Goethe University and Mannheim University.

Yaman RoumaniView profile

Associate Professor

• Information Security
• Risk Assessment
• Digital Transformation
• +3 more

Yaman Roumani is an Associate Professor of Management Information Systems at Oakland University's School of Business Administration within the Department of Decision and Information Sciences. His research focuses on Information Security , Risk Assessment , Digital Transformation , and ERP Systems . Ph.D. in Information Systems from Kent State University Teaching interests: System Analysis and Design, Enterprise Information Systems, Business Problem Solving with Information Technology Roumani's scholarly work examines: Cybersecurity risk modeling and ransomware prediction Enterprise vulnerability assessment frameworks Cloud security incident patterns Digital transformation in business processes His research has appeared in leading journals like EJIS , Information & Management , and Computers & Security , with a notable Best Paper Award at ICIS 2019 . Roumani's publications demonstrate consistent application of quantitative methods to cybersecurity challenges, particularly in vulnerability analysis and incident prediction. Current research trends include: Temporal analysis of ransomware attack patterns Impact of social media on cybersecurity risks Exploitability risk modeling Digital business intensity metrics

• COVID-19 Research
• Intensive Care Medicine
• Frailty Assessment
• +5 more

Maria Faulkner is a research-active academic affiliated with Atlantic Technological University in Letterkenny, Donegal, where she holds a position in the Department of Tourism & Sport despite her primary research focus being in medical and public health domains. Her work bridges physical activity interventions with critical care medicine, particularly regarding adolescent health and pandemic response. Institution: Atlantic Technological University Department: Department of Tourism & Sport Research Profile: 42 publications (2017-2024), 6173 citations, h-index of 24 Dr. Faulkner's research interests center on COVID-19 (100% fingerprint match), Intensive Care Unit medicine (77%), frailty assessment (61%), and clinical practice guidelines (46%). Her work uniquely connects adolescent physical activity interventions through the Walking in ScHools (WISH) study with critical analysis of pandemic responses and ICU care. She demonstrates particular expertise in cohort analysis methodologies and translational research that bridges clinical practice with public health implementation. Her publication trends reveal a strategic pivot during the pandemic toward high-impact collaborative research, including significant contributions to the international COVID-19 Host Genetics Initiative published in Nature. Recent work emphasizes youth engagement in health research and evidence-based interventions for vulnerable populations, particularly adolescents and older adults with frailty. Leading investigator for the WISH study on adolescent physical activity Key contributor to RECOVERY trial on pediatric inflammatory syndromes Active participant in the global COVID-19 Host Genetics Initiative Focus on translating research into practice guidelines Dr. Faulkner's research program demonstrates strong external collaboration across international boundaries, with significant engagement in multi-center studies that address both acute pandemic responses and longer-term health system challenges. Her work bridges the gap between sport/kinesiology research and clinical medicine, creating unique interdisciplinary connections that address population health challenges from multiple angles.

• Musculoskeletal Health
• Physical Activity and Exercise
• Rheumatology
• +3 more

Emma Haglund is a Senior Lecturer at Halmstad University, affiliated with the School of Business, Innovation and Sustainability. She holds dual roles as an Associate Professor in Biomedicine (Physical Activity and Exercise) and Program Manager for the Biomedicine – Exercise Physiology bachelor’s program. She is a physiotherapist specializing in rheumatology, with affiliations to multiple research groups including the Movement for Health and Performance (M4HP), Exercise Biomedicine Group (ExBiG), and Spenshult’s Arthritis Group at Lund University/Rheumatology. Her research focuses on musculoskeletal health, studying diseases like rheumatological conditions and osteoarthritis, emphasizing physical function, lifestyle factors, and exercise efficacy. Key projects include high-intensity interval training for inflammatory back pain, the Halland Osteoarthritis (HALLOA) cohort study, and exercise interventions for youth depression. Publications span musculoskeletal epidemiology, pain management, and exercise physiology, with recent work investigating knee osteoarthritis progression, chronic pain, and the impact of lifestyle on health outcomes. Her work bridges clinical practice and population health, emphasizing translational research for improved patient management. Emma collaborates extensively with Spenshult Research and Development Center, contributing to initiatives like the Health Innovation profile area at Halmstad University. Her research integrates biomechanical, epidemiological, and qualitative methods to address complex health challenges.

• Operations Research
• Healthcare Systems Engineering
• Hospital Planning and Scheduling
• +7 more

Sebastian Rachuba is an Assistant Professor at the University of Twente, affiliated with the Digital Society Institute, the TechMed Centre, and the Department of Industrial Engineering & Business Information Systems within the Faculty of Engineering Technology. His work bridges operations research and healthcare innovation, focusing on improving hospital systems through data-driven planning and digital transformation. Research Interests: His expertise lies in Operations Research , Healthcare Systems Engineering , Emergency Department Management , Integrated Hospital Planning , and the application of Artificial Intelligence in clinical settings. He investigates how predictive models and optimization techniques can enhance patient flow, scheduling, and resource utilization across hospitals. His recent publications highlight a consistent focus on integrated planning across departments—particularly between operating rooms and intensive care units—and the use of neural networks to predict inpatient admissions in emergency wards. These works reflect a strong trend toward digital health solutions, AI-enabled decision support, and system-level optimization in healthcare delivery. Contributor to UN Sustainable Development Goals, particularly in health and well-being (SDG 3). Active in literature reviews, empirical evaluations, and model development in health operations. Collaborates with researchers in Germany and the Netherlands on hospital logistics and process improvement. Dr. Rachuba has not listed any formal advisees or awards in the provided materials. He is actively publishing in high-impact journals such as European Journal of Operational Research and BMC Health Services Research , and his work appears in preprint repositories like arXiv. He is involved in interdisciplinary research teams focused on digital transformation in healthcare.

David ByersView profile

Associate Professor

• Zooarchaeology
• Paleoecology
• Archaeological Theory
• +12 more

David Byers is an Associate Professor in the Department of Sociology, Social Work and Anthropology at Utah State University, within the School of Social Sciences. He is based in Logan, Utah, and holds a PhD in Anthropology (Zooarchaeology) from the University of Utah (2006), an MA in Anthropology from the University of Wyoming (2001), and a BS in Industrial Supervision from Purdue University (1988). His research focuses on zooarchaeology, paleoecology, and human-environment interactions during the Holocene and Late Pleistocene. Key areas include stable isotope analysis, upland and alpine archaeology of the Western U.S., coastal foragers of Jamaica, and human interactions with megafauna such as mammoths and bison. He has conducted extensive fieldwork in Idaho, Wyoming, Utah, and Montana, and has contributed to numerous cultural resource inventories and technical reports. Dr. Byers teaches core archaeology courses including ANTH 2330 (Principles of Archaeology), ANTH 5320/6320 (Zooarchaeology), and ANTH 6350 (Archaeological Theory). He has mentored over a dozen graduate students in anthropology and related fields, guiding them in lithic analysis, faunal studies, and archaeological theory. His publication record includes over 30 peer-reviewed journal articles and 4 book chapters. The most recent research trends reflect a strong emphasis on faunal morphology, subsistence strategies, and environmental change. Articles span topics from cranial variability in canids to Folsom-era mammoth hunting, bison diminution, and prehistoric cold storage practices, showcasing a methodologically rigorous and geographically diverse research program. Species-Specific Responses of Late Quaternary Megafauna to Climate and Humans (Nature, 2011) Stable Isotope Chemistry, Population Histories and Late Prehistoric Subsistence Change in the Aleutian Islands (JAS, 2011) Heat Treatment, Ozarks Cherts and Prehistoric Toolstone Use in Southwest Missouri (American Antiquity, 2014) Cranial variability in North American domestic and wild canids (JASR, 2024) Dr. Byers has served as principal investigator on multiple field projects and cultural resource surveys, often in collaboration with federal agencies like the BLM and US Forest Service. His lab work integrates zooarchaeological analysis, GIS, and quantitative methods, supporting both graduate training and publication. He continues to lead field schools and independent studies in archaeology, contributing to the training of the next generation of anthropologists.

• Atmospheric Science
• Meteorology
• Data Assimilation
• +5 more

Dr. Alison Rudd is a researcher in atmospheric science and meteorology, with a focus on data assimilation, ensemble forecasting, and modeling of atmospheric processes. Her work appears in high-impact journals such as Geoscientific Model Development , Nonlinear Processes in Geophysics , and Boundary-Layer Meteorology . She earned her PhD from the University of Surrey in 2009, where her thesis explored nonlinearity in variational assimilation of satellite observations. Her research interests lie primarily in data assimilation techniques , numerical weather prediction , and model error representation in convective-scale and limited-area models. She investigates challenges in integrating satellite observations into models, particularly under nonlinear conditions, and contributes to understanding forecast sensitivity to ensemble size and model configuration. The analysis of her publications reveals a consistent focus on improving predictive accuracy in meteorological models, especially through variational methods , inverse modeling , and ensemble-based uncertainty quantification . Her work bridges theoretical model development with practical applications in emergency response and weather forecasting. Scientific Contributions: Developed inverse methods for source characterization in atmospheric releases. Explored nonlinear effects in satellite data assimilation using column models. Contributed to understanding model error in convection-permitting ensembles. Participated in the DIAMET project studying intense European cyclones. Dr. Rudd has collaborated with leading institutions and researchers in the UK meteorological community. While no formal advising or grant information is available, her co-authorship on major projects suggests active participation in funded research initiatives. She has not listed any students, but her publications indicate mentorship-level contributions through collaborative research. She has not provided information about associated labs or research teams, though her involvement in projects like DIAMET implies membership in larger observational and modeling consortia.

Val MorrisonView profile

Professor

• Health Psychology
• Informal Caregiving
• Chronic Illness
• +7 more

Professor Val Morrison at Bangor University’s School of Psychology and Sports Science specializes in Health Psychology , focusing on psychosocial outcomes in chronic illness and informal caregiving. Her work bridges clinical practice and research, influencing NHS interventions and European health psychology education through coauthoring a leading textbook. Key collaborators include Dutch and Welsh healthcare institutions. Research Interests : Chronic illness coping, caregiver dynamics, rehabilitation programs, and technology-assisted therapy. Projects : ENTWINE-iCohort (informal care), FEMuR (hip fracture rehab), and HIV stigma-reduction via community quilting. Publications : 110+ outputs including International Journal of Social Robotics and BMJ Open studies on caregiver-robot interactions and community rehab efficacy. Network : Collaborations with UMCG, Tenovus Cancer Care, and multidisciplinary teams across Europe.

• Additive Manufacturing
• Composite Materials
• Fatigue Behavior
• +5 more

Andrea Tridello is an Associate Professor in the Department of Mechanical and Aerospace Engineering at the Polytechnic University of Turin, Italy, and a member of the Interdepartmental Center J-Tech@PoliTO. His academic work focuses on mechanical design, fatigue analysis, and additive manufacturing technologies with significant contributions to Very High Cycle Fatigue (VHCF) research. Dr. Tridello's research spans multiple areas including Additive Manufacturing , Composite Materials , Fatigue Behavior , and Machine Learning applications for predicting material responses. His work addresses critical challenges in non-destructive testing methodologies for damaged composites, fatigue analysis of additively manufactured components, and the mechanical behavior of lattice structures. He has developed machine learning algorithms specifically for predicting mechanical behavior of structural materials. His recent publications demonstrate a strong focus on the intersection of additive manufacturing and fatigue analysis, with particular attention to defect characterization, statistical modeling of fatigue data, and development of predictive algorithms. His research also extends to composite materials, exploring impact damage assessment and non-destructive evaluation techniques across aerospace and automotive applications. Young Researcher Award from VHCF8 conference (2021) Steering Committee member of European Structural Integrity Society (ESIS) (2024-) Steering Committee member of Italian Fracture Group (2023-) Editorial Board member of FRACTURE AND STRUCTURAL INTEGRITY (2023-) Editor-in-Chief of MATERIAL DESIGN & PROCESSING COMMUNICATIONS (2023-) Dr. Tridello actively supervises PhD students Alessio Centola (39th cycle) and Rujun Li (38th cycle). He leads and participates in significant research projects including ML4FatigueDesign (statistical software for fatigue data analysis), FAAST (Fatigue on Additive Alloys Speedy Technique), and PLEIADES (advancing aerospace composites). His work has practical applications across aerospace, automotive, and industrial sectors. He is a key member of the Mechanics of Materials and Joints research group within DIMEAS, focusing on fatigue, impact, and testing methodologies for advanced materials and structures, contributing to both theoretical frameworks and practical engineering solutions.