جست‌وجوی استاد و پژوهشگر

Diep Nguyenمشاهده پروفایل

دانشیار

• Dark side of leadership
• Strategic human resource management
• Workplace mistreatment
• +۳ مورد دیگر

Associate Professor Diep Nguyen holds a position at the University of Newcastle's Newcastle Business School, specializing in Leadership of Human Resource Management. She earned her PhD at Auckland University of Technology, New Zealand, and has conducted research across Vietnam, New Zealand, the UK, and Australia. Her work focuses on strategic HRM, dark-side leadership, workplace mistreatment, and employee well-being. She teaches courses on Cross-Cultural Management, Leadership in Contemporary Organizations, and Human Resource and Organisational Development. Dr. Nguyen’s research has been published in journals like Public Management Review , International Journal of Human Resource Management , and Asia Pacific Journal of Management . Her studies address topics such as workplace bullying, psychosocial safety climate, and innovative behavior in public sectors. She actively collaborates with researchers globally and co-supervises PhD candidates exploring topics like unethical pro-organizational behavior and workplace stress. Her work emphasizes organizational resources, leadership roles, and employee well-being. Key areas include mitigating workplace bullying through ethical leadership, fostering older worker well-being via inclusive practices, and understanding post-disaster tourism dynamics. She advocates for high-commitment HR practices to reduce employee burnout and enhance organizational resilience.

• AI Security
• Cybersecurity
• Artificial Intelligence
• +۱۲ مورد دیگر

Petar Radanliev is a part-time academic and project supervisor at the Department of Computer Science, University of Oxford. He is actively involved in teaching and research, focusing on AI security, cybersecurity, and emerging technologies such as quantum computing and blockchain. His work bridges academic rigor with practical industry applications, and he supervises professional masters students. His research interests center on the security and ethical implications of artificial intelligence. Key areas include AI attack surfaces, agentic AI, quantum AI, malware analysis, and responsible AI practices. He explores vulnerabilities in machine learning systems and develops frameworks for secure and resilient AI deployment. His recent publications and courses reflect a strong trend toward interdisciplinary integration of AI with blockchain and quantum computing, emphasizing real-world threats, ethical considerations, and future-proofing digital systems. These works highlight a consistent focus on proactive defense, red teaming, and the societal impact of emerging technologies. Fulbright Fellowship Prince of Wales Innovation Scholarship Petar Radanliev has supervised numerous professional masters students and contributes to academic discourse through extensive publications, books, and public lectures. He is affiliated with major research platforms including ORCID, Google Scholar, and the Alan Turing Institute. His teaching includes advanced courses on AI security, quantum AI, and red teaming, often delivered through recorded events and online platforms. He is associated with research themes in Security, Artificial Intelligence, and Machine Learning at Oxford, and has contributed to projects such as SOCIAM. His work emphasizes practical, actionable insights for professionals and academics navigating the evolving landscape of AI and cybersecurity.

Tingting Liمشاهده پروفایل

مدرس

• AI for Cyber Security
• Automated Cyber Defence
• Diversification and Deception Strategies
• +۸ مورد دیگر

Dr. Tingting Li is a Lecturer (Assistant Professor) in Cyber Security at Cardiff University's School of Computing and Informatics and a member of the Centre for Cyber Security Research. She also holds an Honorary Research Fellow position at Imperial College London, reflecting her ongoing research collaboration. Her work bridges artificial intelligence and cybersecurity, with a focus on protecting critical systems such as cyber-physical systems (CPS), industrial control systems (ICS/SCADA), and autonomous vehicles. BEng (Hons) in Information Security, Xidian University, China MSc in Computing, Imperial College London PhD in Artificial Intelligence, University of Bath Dr. Li’s research interests lie at the intersection of AI and cybersecurity, particularly in automated cyber defense , diversification/deception strategies , and symbolic AI for knowledge representation . She investigates how AI can enhance the resilience of critical infrastructures through intelligent, adaptive defense mechanisms. Her recent work explores quantum-inspired reinforcement learning and machine learning models for proactive threat mitigation in complex systems. Her recent publications demonstrate a strong trend in applying advanced AI techniques—especially deep reinforcement learning, LSTM networks, and Bayesian models—to cybersecurity challenges in industrial and autonomous systems. These works span domains like IoT malware suppression, network diversity for ICS resilience, and automated compliance checking, reflecting a multidisciplinary approach combining security, AI, and systems engineering. Dr. Li has secured significant research funding, including a grant from the Alan Turing Institute (2024–2025) on AI safety in autonomous cyber defense, a RITICS/NCSC-funded project on diversity-based cybersecurity (2021–2022), and an EPSRC-funded project on metric-driven cybersecurity frameworks for critical national infrastructure (2021–2023). She actively supervises PhD students in areas including cybersecurity for autonomous vehicles, moving target defense, and cyber-physical system security. Her team includes Iryna Bernyk, Sanyam Vyas, Victoria Marcinkiewicz, Ellis Doran, Stephen Morris, and Sam Braithwaite. She also leads teaching modules on databases (CM6125/CM6625) and cybersecurity (CM6224/CM6724). Dr. Li’s research is conducted within the Centre for Cyber Security Research at Cardiff University, where she collaborates with experts in AI, security, and critical infrastructure protection. Her work is highly interdisciplinary, involving partnerships with institutions like Imperial College London and funding bodies such as EPSRC, NCSC, and the Alan Turing Institute.

Asad Khattakمشاهده پروفایل

استاد

• Intelligent Transportation Systems
• Transportation Safety
• Sustainable Transportation
• +۳ مورد دیگر

Professor Asad Khattak is the Beaman Distinguished Professor in the Department of Civil and Environmental Engineering at the University of Tennessee, Knoxville, within the College of Engineering. He serves as the Transportation Program Coordinator and leads multiple national and regional research initiatives. He is affiliated with the UT Center for Transportation Research and the Howard H. Baker Jr. Center for Public Policy. Research Interests: His work centers on intelligent transportation systems , transportation safety , and sustainable transportation . He leverages big data and connected vehicle technologies to improve safety monitoring and urban mobility. His research has strong applications in policy, environmental protection, and smart infrastructure. Publications and Research Trends: Recent articles emphasize the use of large-scale trajectory data, connected vehicle communications, and multi-agency coordination to enhance transportation safety and efficiency. Themes include real-time incident analysis, fuel economy validation, and proactive safety management using emerging technologies. Scientific Awards: Shining Star Award, Old Dominion University Nationally ranked 4th in faculty publications among U.S. graduate planning schools (2004) Advising and Grants: As Principal Investigator and Co-Director of major initiatives, Dr. Khattak has secured 66 sponsored research and educational projects from agencies including the US Department of Transportation, NSF, EPA, and state DOTs. He mentors students and researchers through active research programs, though specific advisees are not listed. Labs and Teams: He leads the ‘Big Data for Safety Monitoring, Assessment, and Improvement’ project and co-directs the Initiative for Sustainable Mobility. He is also a key member of the National University Transportation Center partnership led by UNC-Chapel Hill.

Mizan Rahmanمشاهده پروفایل

استادیار

• Artificial Intelligence
• Autonomous Vehicles
• Cyber Security
• +۱۱ مورد دیگر

Mizan Rahman is an Assistant Professor in the Department of Civil, Construction, and Environmental Engineering at the University of Alabama's College of Engineering. He serves as the Director of the Connected and Automated Mobility Laboratory (CAM Lab) at UA, leading research in cutting-edge transportation technologies. His work bridges civil engineering with computer science, focusing on the intersection of physical infrastructure and digital systems. Dr. Rahman's educational background includes: B.S. in Civil Engineering from Bangladesh University of Engineering and Technology (2008) M.S. in Civil Engineering from Clemson University (2013) Ph.D. in Civil Engineering from Clemson University (2018) His research interests span artificial intelligence, machine learning, cybersecurity, and digital twins applied to transportation systems. Dr. Rahman takes an interdisciplinary approach to solving evolving mobility challenges, with particular focus on connected and automated transportation systems for smart cities. His work addresses critical issues in AI-based predictive analytics, cybersecurity and privacy for connected mobility, driver behavior modeling, heterogeneous wireless communication, and transportation cyber-physical systems. Analysis of Dr. Rahman's recent publications reveals a strong emphasis on digital twin technology for traffic management, cybersecurity for autonomous vehicles (particularly GNSS spoofing detection), and connected vehicle applications. His work demonstrates a clear trajectory toward creating safer, more efficient transportation systems through the integration of advanced computing technologies with traditional civil infrastructure. The research spans theoretical development, numerical validation, and real-world experimental implementation. Dr. Rahman has received significant recognition for his work: NSF CAREER Award (2024) IEEE George N. Saridis Best Transactions Paper Award (2020) U.S. Department of Transportation Dwight D. Eisenhower Doctoral Fellowship (2013-2014) U.S. Department of Transportation Dwight D. Eisenhower Master's Fellowship (2012-2013) He has secured multiple federally funded projects from the National Science Foundation (NSF), the U.S. Department of Transportation (USDOT), and the Federal Motor Carrier Safety Administration (FMCSA). His research has practical applications in developing low-cost solutions for self-driving cars to detect GPS hacking and improve overall transportation safety. Dr. Rahman actively collaborates across disciplines, taking advantage of UA's cybersecurity program in the computer science department to advance research in connected and automated transportation systems. As director of the CAM Lab, Dr. Rahman leads a team working at the forefront of transportation innovation, with a vision to build smart transportation systems that enhance quality of life and contribute to economic prosperity. His work is particularly relevant as cities become increasingly connected and automated, moving toward the reality of smart cities.

Kaie Maennel, Agnė Brilingaitė, Linas Bukauskasمشاهده پروفایل

پژوهشگر

• Cybersecurity Education
• Cyber Defense Exercises (CDX)
• Psychological Safety in Teams
• +۴ مورد دیگر

Dr. Kaie Maennel, Dr. Agnė Brilingaitė, and Linas Bukauskas are cybersecurity education researchers who have co-authored studies on multidimensional approaches to Cyber Defense Exercises (CDX). Their work emphasizes integrating psychological safety , intrinsic motivation , and cognitive agility into cybersecurity training frameworks. They have contributed to understanding how behavioral aspects and educational theory can enhance technical skill development and team coordination during large-scale exercises like Locked Shields and Amber Mist. Key areas of focus include: Applying Self-Determination Theory (SDT) to improve participant motivation and learning outcomes. Developing adaptive performance metrics that evaluate non-technical skills such as communication and decision-making under stress. Advancing slow education techniques to scaffold technical and soft skill development in cyber operators. They have secured significant funding through the EEA Grants project ADVANCES , which aims to personalize cybersecurity competence development. Their research has been published in journals like Computers & Security and International Journal of Cyber Warfare and Terrorism , influencing pedagogical practices in hybrid cybersecurity exercises and incident response training.

Aida Olivia Pereira de Carvalho Guerraمشاهده پروفایل

دانشیار

• Problem-Based Learning
• Sustainability in Engineering Education
• Engineering Education
• +۶ مورد دیگر

Aida Olivia Pereira de Carvalho Guerra is an Associate Professor at Aalborg University's Department of Sustainability and Planning, within the Technical Faculty of IT and Design. She serves as Vice-Director of the Aalborg Centre for Problem-Based Learning in Engineering Science and Sustainability (UNESCO-affiliated) and is part of the Institute for Advanced Study in PBL. Her research emphasizes Problem-Based Learning (PBL), curriculum development, sustainability integration in engineering education, student agency, and competencies for sustainable development. Education: B.Sc. in Biology and Geology, Faculty of Science, University of Porto (2006) M.Sc. in Geology, University of Porto (2008) PhD in PBL and Education for Sustainable Development in Science and Engineering Education (EESD) (date unspecified) Research Interests: Aida Guerra focuses on advancing pedagogical practices in engineering education, particularly through PBL and Challenge-Based Learning (CBL). Her work explores how educational environments can foster student proactivity, sustainability competencies, and readiness for real-world challenges. She also investigates institutional transformation and academic leadership in global contexts, collaborating with organizations like UNESCO on initiatives promoting sustainable development goals (SDGs). Projects & Grants: Principal Investigator (PI) for projects such as 'ENVIHEI: Student-centered learning for ENVIronmental sustainability at Higher Education Institutions' (2024–2026) and 'Early career engineers' preparedness for transition to work' (2025–ongoing). Co-Investigator (CoI) in collaborative efforts like 'Supporting university student proactivity for social and academic well-being: What PBL can do' (2025). Labs & Teams: She contributes to the Aalborg Centre for Problem-Based Learning and the Institute for Advanced Study in PBL, actively organizing workshops and international conferences on topics like sustainability education and pedagogical innovation.

Dina V. Krasikovaمشاهده پروفایل

دانشیار

• Organizational Behavior
• Leadership Studies
• Deviant Behavior in Organizations
• +۳ مورد دیگر

Dr. Dina V. Krasikova is an Associate Professor in the Department of Management at The University of Texas at San Antonio (UTSA), affiliated with the Alvarez College of Business. She joined UTSA in 2013 after a post-doctoral fellowship at the University of Nebraska-Lincoln. Her expertise spans leadership dynamics, deviant workplace behavior, and advanced statistical methods for organizational research. Dr. Krasikova holds a Ph.D. and M.S. in Industrial/Organizational Psychology from Purdue University, alongside a Diploma with Highest Honors from Voronezh State University, Russia. Her research emphasizes constructive and destructive leadership behaviors, organizational deviance, and statistical methodologies to address complex research questions. She has contributed to journals like Journal of Applied Psychology , Organizational Behavior and Human Decision Processes , and Organizational Research Methods , with work also featured in media outlets such as Forbes and Inc. Magazine. Dr. Krasikova serves on the editorial boards of Journal of Applied Psychology , Journal of Business and Psychology , and others. She also holds a leadership role as Representative-at-Large at the Academy of Management’s Research Methods Division. Her methodological contributions include developing effect size indicators and addressing multilevel research challenges, while her applied work focuses on leader creativity, voice behaviors, and well-being in remote work contexts. Her scholarly output reflects a dual focus: advancing rigorous research techniques and understanding human behavior in organizations. Recent studies explore social media’s impact on prosocial behavior, sleep’s role in remote worker well-being, and the psychological effects of unaccepted employee voice. These trends highlight her commitment to both methodological innovation and real-world organizational challenges.

• Medical Image Segmentation
• Motion Segmentation
• Visual Object Tracking
• +۹ مورد دیگر

Dr. Sandeep Singh Sengar is a Senior Lecturer in Computer Science at Cardiff Metropolitan University, United Kingdom. Prior to his current role, he served as a Postdoctoral Research Fellow at the Machine Learning Section of the Computer Science Department at the University of Copenhagen, Denmark. His academic journey includes a Ph.D. in Computer Science and Engineering from Indian Institute of Technology (ISM), Dhanbad, India, and an M. Tech. in Information Security from Motilal Nehru National Institute of Technology, Allahabad, India. Sengar actively engages in research collaboration and has organized special sessions and delivered keynote presentations at international conferences. Education: Dr. Sengar holds the following academic qualifications: Ph.D. in Computer Science and Engineering from Indian Institute of Technology (ISM), Dhanbad, India M. Tech. in Information Security from Motilal Nehru National Institute of Technology, Allahabad, India Research Interests: Dr. Sengar's research focuses on advanced applications of machine/deep learning and computer vision, particularly in healthcare diagnostics and cybersecurity. His work combines theoretical methodologies with practical implementations, including: Medical Image Segmentation (e.g., brain tumors, functional connectivity) Motion Segmentation and Tracking for surveillance and activity recognition Visual Object Tracking and Recognition in dynamic environments Video Compression techniques leveraging adaptive optimization Cybersecurity frameworks targeting DDoS attack mitigation Exploring Metaverse applications in healthcare and AI ethics Publications Trends: His recent articles emphasize interdisciplinary innovation, with a strong focus on healthcare AI and cybersecurity. Key themes include hybrid neural networks for medical imaging, entropy-driven frameworks for neurological disorders, and proactive network threat detection using deep learning. He also investigates emerging technologies like the Metaverse's role in healthcare systems and generative AI's broader applications. Scientific Awards: No scientific awards were explicitly mentioned in the provided texts. Advising & Grants: While Dr. Sengar has not listed formal advisees or grant details, his research mentorship is evident through collaborative projects and conference contributions. He actively participates in organizing special sessions and peer-review processes, fostering academic-industry partnerships. Labs & Teams: Though no specific labs are named, his work aligns with Cardiff Met's research centers and innovation initiatives, such as the PDR International Centre for Design and Research and ZERO2FIVE Food Industry Centre.

• Indoor Air Quality
• Environmental Engineering
• Building Microbiology
• +۳ مورد دیگر

Raimo Mikkola is a Senior Scientist at Aalto University's Department of Civil and Structural Engineering, specializing in indoor air quality and building microbiology since 1997. His work focuses on mycotoxin toxicity , microbial emissions , and ventilation systems in educational and public buildings. Key affiliations: Aalto University (current), IDAEA-CSIC (visiting researcher 2018) Education: Doctoral degree in Agriculture and Forestry from University of Helsinki Research Themes : Identification of Stachybotrys-like fungal growth in buildings through case studies Assessment of cleaning protocols and their microbiological/chemical impacts Development of real-time aerosol monitoring techniques Analysis of toxic emissions from cooktop fires Investigation of wooden building materials in low-energy structures Creation of indoor air quality assessment frameworks Scientific Contributions : 133+ publications across 28 years 14 active and completed projects (e.g., INCHILDHEALTH Horizon, SustainSchool) Key collaborations with European institutions Focus on UN Sustainable Development Goals: Quality Education and Sustainable Cities

• Earthquake Engineering
• Structural Engineering
• Seismic Reliability
• +۷ مورد دیگر

Paolo Castaldo is a Full Professor in the Department of Structural, Building and Geotechnical Engineering (DISEG) at the Polytechnic University of Turin, where he also serves as Deputy Director of the Department and Scientific Director of several national research projects. He is actively involved in teaching at both the undergraduate and PhD levels and is a member of the University Open Access Commission. His research interests include: Earthquake Engineering Structural Safety and Reliability Seismic Isolation using Friction Pendulum Systems (FPS) Reinforced Concrete Structures Bridges and Viaducts Numerical Modelling and Simulation Castaldo's recent publications focus on seismic performance, safety assessment, and reliability of isolated and reinforced concrete structures, often involving nonlinear finite element analysis and probabilistic evaluation. His work frequently addresses practical applications in bridge engineering, structural robustness, and retrofitting of existing infrastructure. Among his scientific contributions are leadership roles in PRIN-funded research projects such as 'Life-long optimized structural assessment and proactive maintenance with pervasive sensing techniques' and 'Data Fusion Based Digital Twins for Structural Safety Assessment'. He also leads commercial and departmental agreements involving structural safety assessments for public infrastructure. He supervises several PhD students, including Gabriele Neri, Guglielmo Amendola, Gaspar Andres Auad Alvarez, and Elena Miceli, guiding research on seismic reliability, impact mitigation in isolated structures, and robustness of concrete frames. His research is applied in real-world contexts, including collaborations with the ReLUIS Interuniversity Consortium and the Department of Civil Protection, as well as with the Archaeological Park of Paestum and Velia for structural assessment of historical sites.

Jose Brandao Delgadoمشاهده پروفایل

استادیار

• Food Safety
• Pathogen Control
• Food Toxicology
• +۳ مورد دیگر

Jose Brandao Delgado serves as an Assistant Professor and Extension Food Safety Specialist at Utah State University's Department of Nutrition, Dietetics, and Food Sciences, based at the Logan Campus. His work integrates academic research with practical industry collaboration to advance food safety standards and regulatory compliance across Utah's agricultural sector. His educational foundation includes: PhD in Food Science from Louisiana State University (2019) BS in Food Technology from Escuela Agrícola Panamericana Zamorano (2012) Dr. Brandao's research centers on developing innovative food safety solutions for Utah's unique agricultural challenges, with particular emphasis on pathogen control in irrigation systems and food waste reduction. His expertise spans food toxicology, safety practices in food processing, and agricultural pathogen management, directly addressing critical gaps in fresh produce safety. Through extension programs, he translates complex food safety science into actionable industry protocols for both consumer and manufacturing contexts. Analysis of his 15 most recent publications (2015-2024) reveals a consistent research trajectory focused on practical food safety interventions. His work predominantly addresses irrigation water decontamination using surfactant-modified zeolite filtration systems, demonstrating significant pathogen reduction efficacy for high-risk pathogens like Salmonella and Listeria in strawberry and lettuce production. Secondary themes include horticultural by-product valorization, shelf-life extension techniques, and household food waste reduction strategies—showcasing his commitment to sustainable food systems from farm to consumer. No scientific awards were documented in the provided materials. Dr. Brandao actively secures research funding to support Utah's food safety infrastructure while mentoring students through courses like NDFS 6180 - Food Safety Inspection and Auditing. His dual extension appointments in Consumer Food Safety Education and Food Safety of Manufacturing Industry (both ongoing since 2024) demonstrate his commitment to bridging academic research with real-world industry implementation across multiple food system sectors.

Ziang Xiaoمشاهده پروفایل

استادیار

• Human-Computer Interaction
• Natural Language Processing
• Human-AI Interaction
• +۵ مورد دیگر

Ziang Xiao is an Assistant Professor in the Department of Computer Science at Johns Hopkins University's Whiting School of Engineering and a member of the Data Science and AI Institute. His research bridges human-computer interaction, natural language processing, and social psychology to understand human behavior at scale through AI systems. His educational background includes a Ph.D. in Computer Science from the University of Illinois Urbana-Champaign (co-advised by Prof. Hari Sundaram and Prof. Karrie Karahalios), where he also earned dual Bachelor's degrees in Psychology and Statistics & Computer Science under Prof. Dov Cohen. Prior to joining JHU, he was a postdoctoral researcher in the Fairness, Accountability, Transparency, and Ethics group at Microsoft Research Montréal. Xiao's research focuses on three interconnected areas: AI for Social Science (using LLMs to simulate human behavior), Human-centered Model Evaluation (developing frameworks like ECBD for evidence-centered benchmark design), and Information Seeking (studying how AI systems affect information diversity). His work emphasizes democratizing technology to operationalize human intuitions about behavior and decision-making, with notable contributions to LLM evaluation metrics and ethical AI design. Analysis of his recent publications reveals a strong trend toward human-centered AI evaluation, with increasing focus on LLM safety, value alignment, and interdisciplinary applications across social science domains. His work consistently appears in top-tier venues including CHI, ACL, and NeurIPS, with a 2024 CHI Best Paper Award for research on LLM-powered search systems. Best Paper Award at CHI 2024 for 'Generative Echo Chamber? Effect of LLM-Powered Search Systems on Diverse Information Seeking' Multiple publications in ACM/IEEE flagship conferences (CHI, ACL, NeurIPS) Research featured in Johns Hopkins news for social robot interruption handling and chatbot bias studies Xiao actively advises doctoral students and postdocs, with current advisees including Yu Lu Liu, Nikhil Sharma, and Han Jiang. His teaching includes graduate courses on Human-Computer Interaction and Advanced HCI Research Methods. He co-leads research initiatives at the intersection of AI and social science, collaborating with the Data Science and AI Institute to develop frameworks for responsible AI deployment. Current projects examine LLM vulnerabilities in GUI agents, multilingual information disparities, and adaptive decision support systems that balance automation with user control.

Muhao Chenمشاهده پروفایل

استادیار

• Natural Language Processing
• Machine Learning
• Artificial Intelligence
• +۳ مورد دیگر

Muhao Chen is an Assistant Professor in the Department of Computer Science at the University of California, Davis, and directs the Language Understanding and Knowledge Acquisition (LUKA) Lab. His research focuses on robust and minimally supervised machine learning for natural language processing, alongside accountability and security challenges in large language models. Ph.D. in Computer Science, University of California, Los Angeles (UCLA) B.S. in Computer Science, Fudan University His work emphasizes developing trustworthy AI systems through techniques like constitutional alignment, adversarial defense, and multimodal reasoning. Current trends in his publications highlight LLM security, retrieval-augmented generation, and mitigation of hallucinations and jailbreak attacks. Key collaborations and interdisciplinary applications include geospatial AI, biomedical NLP, and mechanical metamaterial design. He actively contributes to frameworks like MetaScientist for automated design and tools for evaluating radiology models. Focus on agentic memory systems ( R2D2 ) Advancements in vision-language modeling ( QLIP, Adashield ) Security benchmarks and datasets ( MuirBench, VLM-Guard )

• Human Resource Management
• Corporate Health Management
• Workplace Equity
• +۳ مورد دیگر

Anja Feierabend serves as a Lecturer at Lucerne University of Applied Sciences and Arts within the School of Business, specifically affiliated with the Institute for Business and Regional Economics and the Department of Corporate Development, Management and Human Resources. She concurrently holds the position of Project Manager for the Swiss HR Barometer at the University of Lucerne's Center for Human Resource Management. Her academic foundation includes a psychology degree with neuropsychology specialization followed by a doctorate in human relations from the University of Zurich's Faculty of Business and Economics. This educational trajectory underpins her dual expertise in psychological frameworks and business administration. Feierabend's research focuses on critical human resource challenges including workplace meaning construction, innovation resilience, digital transformation impacts across generations, and equity implementation. Her work bridges theoretical organizational behavior with practical corporate health management solutions, particularly examining how psychological safety enables both ethical courage and productive innovation. The Swiss HR Barometer series she co-edits reveals evolving workplace dynamics where digitalization intensifies generational tensions while increasing demands for meaningful work experiences. Her publication trends demonstrate consistent longitudinal analysis of Swiss workplaces since 2012, showing how misconduct reporting mechanisms correlate with psychological safety climates, how job crafting buffers cynicism, and how digital integration strategies must accommodate generational value differences. Recent work emphasizes the paradox of seeking meaning in work while navigating organizational nonsense. Through HR ConScience GmbH, which she co-founded and manages, Feierabend implements corporate health initiatives. Since 2018, she has contributed to national policy as an active member of the Federal Office for Gender Equality's expert group on equal pay, conducting federal procurement audits that translate academic equity frameworks into actionable compliance standards.