جست‌وجوی استاد و پژوهشگر

Nikos Aletrasمشاهده پروفایل

استاد

• Natural Language Processing
• Machine Learning
• Computational Social Science
• +۲ مورد دیگر

Nikos Aletras is a Professor of Natural Language Processing at the University of Sheffield's School of Computer Science, where he serves as Head of the Natural Language Processing research group and is co-affiliated with the Machine Learning group. His academic journey began with a Bachelor's degree in Computer Science from the University of Crete, followed by a PhD in Natural Language Processing at the University of Sheffield. Prior to his current position, he worked as a research scientist at Amazon (Core ML and Alexa) and as a research associate at UCL's Department of Computer Science. Aletras' research spans multiple domains within AI, with particular emphasis on Natural Language Processing applications across social science, legal contexts, and data science. His work demonstrates a consistent focus on practical implementations of NLP techniques to solve real-world problems, especially in computational social science and legal technology. He has developed innovative text analysis methods that bridge traditional disciplinary boundaries, creating tools applicable across multiple scientific domains. His recent publications reveal a strong trend toward efficient and responsible AI, with significant work on model compression, hallucination mitigation in language models, and ethical considerations in computational social science research. The publications also show deep engagement with multilingual NLP challenges, explainable AI, and applications of NLP to social media analysis and legal contexts. Area Chair Award: Society and NLP (2023) Aletras has secured substantial research funding as both Principal Investigator and Co-Principal Investigator, including grants from EPSRC, ESRC, Leverhulme, EC Horizon 2020, and industrial partners like Amazon. His current projects focus on efficient deployment of large language models, addressing socio-technical limitations of LLMs for medical and social computing, and developing speech and language technologies. He actively supervises PhD students and collaborates with researchers across multiple disciplines. He leads the Natural Language Processing research group at Sheffield, which focuses on advancing NLP methodologies while applying them to diverse domains including computational social science, legal informatics, and healthcare technologies. The group maintains strong industry connections, particularly with technology companies working on language technologies, and collaborates with legal scholars and social scientists on interdisciplinary projects.

• Memory
• Cognitive Control
• Neuroscience
• +۵ مورد دیگر

Mikael Johansson is a Professor in the Department of Psychology at Lund University, where he leads research on the cognitive and neural bases of memory and cognitive control. His academic appointments include membership in eSSENCE: The e-Science Collaboration, LAMiNATE (Language Acquisition, Multilingualism, and Teaching), LU Profile Area: Proactive Ageing, and LU Profile Area: Natural and Artificial Cognition. With 159 research outputs and leadership in 18 projects (8 active), he maintains a prominent position in cognitive neuroscience research. His research focuses on the neural mechanisms of memory using behavioral, electrophysiological (EEG/ERP), and functional magnetic resonance imaging (fMRI) methods. Key interests include interactions between memory systems, formation and retrieval of episodic memories, emotion regulation and emotional memory, mechanisms underlying incidental and intentional forgetting, and the relationship between eye-movements, mental imagery and memory. His work has significant implications for understanding memory functions in psychiatric conditions such as depression and post-traumatic stress disorder. Analyzing his extensive publication record spanning from 2012-2025 reveals a consistent focus on memory mechanisms with increasing integration of eye-tracking methodologies and clinical applications. His research demonstrates an evolving trajectory from basic memory processes toward understanding memory in real-world contexts and clinical populations, with recent work emphasizing the role of eye movements in memory construction and the neural dynamics of memory integration. Mikael Johansson serves as a member of The Swedish National Committee for Psychological Sciences at the Royal Swedish Academy of Sciences since 2011 and has received significant research funding including from The Bank of Sweden Tercentenary Foundation, Swedish Research Council, and Stiftelsen Marcus och Amalia Wallenbergs Minnesfond. His current major projects include TEAM: Transdisciplinary Approaches to Learning, Acquisition, Multilingualism (2024-2029), Tracking cognitive change as a function of normal ageing and different types of degenerative disease, and How the brain constructs the present and reconstructs the past via sequences of eye movements. He leads the Lund Memory Lab where his team investigates how the brain constructs and maintains coherent episodic memories through eye movements. His research group actively collaborates with international partners across multiple disciplines, bridging cognitive psychology, neuroscience, and clinical applications. The lab's work has gained significant attention, with several publications being highlighted in news outlets and academic discussions.

• Public Sector Management
• Risk Management
• Organizational Crisis Management
• +۳ مورد دیگر

Assoc. Prof. PhD Daniela Lyubomirova Yordanova is an Associate Professor in the Department of Economic Management at the Faculty of Economics, St. Cyril and St. Methodius University of Veliko Turnovo. With numerous publications spanning over a decade, she has established herself as a prominent researcher in public sector management and risk management within Bulgarian academic circles. Her research interests primarily focus on public sector management, risk management, organizational crisis management, and public administration. She has extensively examined the dynamics of organizational resilience, ethical governance in public administration, and the integration of risk management frameworks in both public and private sector organizations. Her work particularly emphasizes the Bulgarian context while incorporating international best practices and theoretical frameworks. Analysis of her recent publications reveals a consistent thematic focus on organizational resilience during crises, ethical dimensions of public administration, and innovative approaches to risk management. Her research demonstrates an evolution from foundational studies on risk management toward more integrated approaches that combine governance, risk, and compliance frameworks. The publications also show increasing attention to practical implementation of theoretical concepts in the Bulgarian public sector context. Daniela Yordanova actively participates in research projects aimed at building partnerships and encouraging research activity among students and young scientists in the field of Administration and Management. She has contributed to projects focused on science communication in digital environments and strengthening the capacity of academic journals. Her scholarly contributions include numerous conference papers, journal articles, and textbooks that have significantly enriched the academic discourse on management practices in Bulgaria. She maintains an active research agenda with publications appearing consistently through 2025, demonstrating her ongoing scholarly engagement and contribution to her field.

Lianne Lefsrudمشاهده پروفایل

دانشیار

• Risk Management
• Sustainability
• Organizational Theory
• +۵ مورد دیگر

Lianne Lefsrud serves as Associate Professor and Risk, Innovation, and Sustainability Chair (RISC) in the Department of Chemical and Materials Engineering at the University of Alberta's Faculty of Engineering. Her interdisciplinary research bridges engineering, social sciences, and policy to transform risk management practices across energy, mining, construction, and railroading industries, directly influencing regulations, building codes, and industry operations for sustainable development. Her academic credentials include: BSc in Civil Engineering (Cooperative Program), University of Alberta (1994) MSc in Interdisciplinary Civil & Environmental Engineering and Sociology, University of Alberta (1996) PhD in Strategic Management and Organization, Alberta School of Business (2014) Dr. Lefsrud's research centers on risk management frameworks for sustainability challenges. She examines hazard identification, social license to operate, and technology adoption drivers in high-hazard industries, with emphasis on prospective risk assessment (e.g., hydrogen infrastructure design) and retrospective analysis (e.g., microplastic pollution impacts). Her work integrates circular economy principles into energy systems while addressing unintended consequences across UN Sustainable Development Goals. Recent publications (2024-2025) demonstrate heavy focus on machine learning applications for rail and construction safety, hydrogen infrastructure risk analysis, and science denial mitigation. Key patterns show cross-industry adaptation of AI for incident prediction, regulatory gap analysis for emerging energy systems, and socio-technical approaches to reconcile sustainability goals with operational realities. Scientific recognition includes: Erb Post-Doctoral Fellowship (University of Michigan) Dow Sustainability Research Fellowship (Ross School of Business) Dr. Lefsrud mentors graduate students through industry-integrated projects like her Sustainable Design course where teams generated patents and city solutions. Her research secures Alberta Innovates funding with 1:4 industrial-to-federal matching, collaborating with Suncor, Transport Canada, and Canadian Standards Association. Grants target practical implementations including railcar inspection systems and hydrogen safety protocols. She co-founded Insight Risk Systems and leads the Lefsrud Lab, prioritizing inclusive teams with under-represented groups (women, Indigenous, LGBTQ2S+, neurodiverse) to tackle 'wicked problems' in sustainability. The lab leverages interdisciplinary partnerships across engineering, computer science, psychology, and environmental sociology for real-world risk management solutions.

Evangelia Demeroutiمشاهده پروفایل

استاد

• Job Crafting
• Occupational Wellbeing
• Work-Life Balance
• +۷ مورد دیگر

Evangelia Demerouti is a Full Professor at Eindhoven University of Technology (TU/e) and Distinguished Visiting Professor at the University of Johannesburg. Her research focuses on work characteristics, job crafting, occupational wellbeing, and work-life balance. She holds a PhD in Work and Organizational Psychology from Carl von Ossietzky Universität Oldenburg. Prior roles include assistant/associate professorships at Utrecht University and postdoctoral positions at Erasmus University Rotterdam and Radboud University Nijmegen. She has published over 200 papers and serves as associate editor for Journal of Occupational Health Psychology and European Journal of Work and Organizational Psychology . Key projects include LLEAD (logistics innovation), SHAREHOUSE (robotics impact), and supplier sustainability initiatives. Her work aligns with UN SDGs for sustainable development and health. Research interests span burnout prevention, job demands-resources theory, proactive behavior in diverse workplaces, and interventions for employee well-being. Recent studies address hybrid work dynamics, burnout in healthcare, and the impact of automation on employee experience. Notable achievements include the 2017 IAMC Article-of-the-Year Award and 2016 Best Paper Award. She has advised 79 students and contributed to 5 active/recent projects. Her labs focus on human performance management and EAISI Health initiatives.

Min Liuمشاهده پروفایل

استاد

• Lean Construction
• Digital Twin Design
• Data Mining
• +۵ مورد دیگر

Dr. Min Liu is a Professor and the Abdallah H. Yabroudi Endowed Professor in Sustainable Civil Infrastructure at Syracuse University, where she directs the Syracuse University Infrastructure Institute. She holds a Ph.D. in Engineering Project Management from UC Berkeley, and prior degrees from National University of Singapore and Xi’an University of Architecture and Technology. Her research focuses on integrating human and engineering aspects in construction planning, with emphasis on Lean Construction, Digital Twin design, and machine learning applications. She has published over 50 articles in top-tier journals and won prestigious awards such as the 2021 ASCE Thomas Fitch Rowland Award. Dr. Liu advises numerous graduate students and postdocs, offering positions in Construction Engineering and Management. Her lab develops innovative approaches for infrastructure project delivery, worker mental health, and bridge preservation strategies. Education: Ph.D. in Engineering Project Management, UC Berkeley (2007) MSCE, Xi’an University of Architecture and Technology (1997) MSc in Building Science, National University of Singapore (2001) BSc in Civil Engineering, Qingdao University of Technology (1994) Research Highlights: Large language models for construction planning reliability Ontology-based knowledge systems for construction methods Lean techniques for worker mental health improvement Socioeconomic analysis of bridge preservation strategies Awards: 2021 ASCE Thomas Fitch Rowland Award Multiple Best Paper Awards (2017-2018) "Thank a Teacher" awards (2011-2018) Her advising record includes notable students like Chuanni He (2023 Chinese Government Award) and Gongfan Chen (2022 Three-Minute Thesis Award). Current opportunities include Ph.D. financial support and postdoc positions. Dr. Liu’s work appears in journals like ASCE Journal of Management in Engineering and Engineering, Construction and Architectural Management.

Monideepa Tarafdarمشاهده پروفایل

استاد

• Information Systems
• Technostress Management
• Artificial Intelligence Ethics
• +۴ مورد دیگر

Monideepa Tarafdar is the Charles J. Dockendorff Endowed Professor of Information Systems at the Isenberg School of Management, University of Massachusetts Amherst. She holds a PhD in Management from the Indian Institute of Management Calcutta, specializing in Information Systems and Strategy. Her research focuses on technostress, AI ethics, and the societal impacts of digital technologies. She has held academic roles at Lancaster University and the University of Toledo, and visiting positions at MIT Sloan and LSE. A world-leading scholar, she was named AIS Fellow (2024) and featured in Stanford’s Top 2% Cited Scientists (2024). Her work examines technostress creators like overload, complexity, and invasion, offering coping strategies such as proactive reorientation and organizational support. She studies AI’s role in hiring bias, social media addiction, and gig economy well-being. As Editor-in-Chief of the Journal of AIS and coordinator of Isenberg’s PhD program, she drives interdisciplinary research in IS. Key achievements include over 120 papers, mentorship accolades, and grants addressing ICT-enabled inclusion and algorithmic transparency. Recent awards include the AIS Best Publication Award (2022), multiple Research Excellence Awards, and recognition for her impactful work on workplace resilience. She advises organizations on managing technostress and serves as a scientific advisor to Unplug (Dublin). Her current projects explore gender bias in job ads and the sociotechnical dimensions of climate change discourse.

Amany Faragمشاهده پروفایل

دانشیار

• Patient Safety
• Medication Safety
• Nurse Fatigue
• +۴ مورد دیگر

Amany Farag is a tenured Associate Professor at the University of Iowa College of Nursing and Co-Director of the VA Quality Scholars Program (Iowa City site). Her work bridges nursing science, human factors engineering, and data science to address critical patient safety challenges, with a specific focus on medication administration practices across healthcare settings. Education: Postdoctoral Scholar, Case Western Reserve University, Frances Payne Bolton School of Nursing PhD, Case Western Reserve University, Frances Payne Bolton School of Nursing MSN, University of Alexandria, Alexandria Egypt BSN, University of Alexandria, Alexandria Egypt Dr. Farag's research centers on reactive and proactive approaches to patient safety , with dual emphasis on medication error reporting systems and nurse fatigue prevention. Her work integrates human factors engineering and machine learning to develop novel interventions. Key themes include understanding how social and system factors influence nurses' error reporting behaviors, examining fatigue as a precursor to errors, and developing self-management strategies for nurse wellness. Recent projects explore intershift recovery, sleep hygiene using consumer technology, and the impact of shift work on cognitive performance. Publication trends reveal a strong focus on interdisciplinary safety science , with consistent output in nursing, human factors, and healthcare quality journals. Her work increasingly incorporates AI methodologies while maintaining clinical relevance to frontline nursing practice. Scientific Recognition: Mary Hanna Memorial Journalism Award (Journal of Peri-Anesthesia Nursing, 2016) Author of the Year (Journal of Emergency Medicine, 2018) Junior Investigator Award (Midwest Nursing Research Society, 2018) Rogers Endowed Lectureship Award (Mississippi Medical Center, 2018) Dr. Farag secures significant funding from national agencies including the National Council of State Boards of Nursing (NCSBN), NIOSH-funded Healthier Workforce Center of the Midwest, CDC-funded Injury Prevention Research Center, and University of Iowa Institute for Clinical and Translational Science. Her collaborative approach spans nursing, data science, ergonomics, and public health teams. As Co-Director of the VA Quality Scholars Program, she mentors future healthcare quality leaders while advancing her research on medication safety systems and nurse fatigue mitigation strategies through interdisciplinary partnerships.

• Algorithmic Foundations of Mathematical Optimization
• Reinforcement Learning
• Data-centric Learning
• +۵ مورد دیگر

Supriyo Ghosh is a Senior Researcher at Microsoft Research, India. Prior to this role, he held positions at IBM Research AI Lab (2019–2021) and the Institute of Infocomm Research (I2R), A*STAR. He completed his PhD in Information Systems at Singapore Management University (2017) under Prof. Pradeep Varakantham and conducted postdoctoral research at MIT's SMART and LIDS centers (2016–2017). His research focuses on data-driven decision analytics, including algorithmic optimization, reinforcement learning, urban logistics, and network resilience in cyber-physical systems. His work has addressed cloud incident management, proactive decision-making under uncertainty, and applications of large language models (LLMs) in system reliability. Notable contributions include developing automated root-cause analysis frameworks and improving incident response strategies in large-scale cloud environments. He has also explored reinforcement learning applications in healthcare treatment optimization and air traffic control systems. Award-winning research includes the Best Paper Award at ACM SoCC'22 for an empirical study on high-severity cloud service incidents. He actively serves as a PC member for top conferences like AAAI, NeurIPS, and ICML, demonstrating his leadership in advancing AI and optimization fields. His academic background includes a graduate exchange at Carnegie Mellon University (CMU) and collaborations with MIT faculty like Prof. Patrick Jaillet. His work bridges theoretical foundations with real-world applications in transportation, cybersecurity, and enterprise systems.

Troy Smithمشاهده پروفایل

دانشیار

• Leadership
• Work-Life Interface
• Proactive Behaviors
• +۳ مورد دیگر

Troy Smith is an Associate Professor of Management and International Business at the Michael F. Price College of Business, University of Oklahoma, holding the McDonald Family Chair in Conscious Capitalism. His research focuses on leadership effectiveness, work-life interface dynamics, and proactive/prosocial workplace behaviors. He has published extensively in top-tier journals like Academy of Management Journal and Journal of Applied Psychology , and contributes to practitioner outlets such as Harvard Business Review . Smith's research explores how leadership behaviors impact teams and organizations, including the effects of empowering vs. abusive supervision, work-leisure blending, and stressor management. He serves on editorial boards for major journals and has held leadership roles in academic organizations like the Academy of Management. His teaching spans undergraduate, graduate, and executive programs in organizational behavior, leadership, and human resources. Recent work emphasizes the ripple effects of leadership across multiple teams and the role of self-verification theory in abusive supervision outcomes. Smith's collaborative publications often involve doctoral students, reflecting his mentorship of emerging scholars. His work bridges theory and practice, offering actionable insights for improving workplace dynamics and employee well-being.

Sagar Samtaniمشاهده پروفایل

دانشیار

• Artificial Intelligence for Cybersecurity
• Cyber Threat Intelligence
• Deep Learning
• +۵ مورد دیگر

Sagar Samtani is an Associate Professor and Weimer Faculty Fellow at the Kelley School of Business , Indiana University. He serves as Director of the Kelley’s Data Science and Artificial Intelligence Lab (DSAIL) . His research focuses on Artificial Intelligence for Cybersecurity , including cyber threat intelligence, deep learning, and dark web analytics. He holds a PhD from the University of Arizona (2018), and has received prestigious awards such as the Indiana University Outstanding Junior Faculty Award (2023) and IEEE Big Data Security Junior Research Award (2023). Education : PhD in Information Systems, University of Arizona, 2018 MSMIS, University of Arizona, 2014 BSBA, University of Arizona, 2013 Research Interests : Samtani’s work addresses cybersecurity challenges through AI, including proactive threat detection, vulnerability assessment, and healthcare analytics. He emphasizes explainable AI (XAI) for transparency in cybersecurity systems. Grants & Awards : NSF Grant: CyberCorps SFS Program ($2.3M, 2020–2025) NSF Grant: AI4Cyber Research Education ($300K, 2020–2022) Multiple teaching awards, including the Trustees Teaching Award (2023) and recognition as one of Top 50 Undergraduate Professors (2022) Labs & Teams : Leads the DSAIL lab, focusing on AI-driven solutions for business and cybersecurity. Collaborates with NSF-funded initiatives on cyber AI education and threat intelligence.

Alberto Monge Roffarelloمشاهده پروفایل

استادیار

• Human-Computer Interaction
• Digital Wellbeing
• End-User Development
• +۷ مورد دیگر

Alberto Monge Roffarello is an Assistant Professor (RTDb) at the Department of Control and Computer Engineering (DAUIN), Politecnico di Torino, where he is a member of the e-Lite Research Group. He teaches courses including Human-AI Interaction, Digital Wellbeing, and Web Applications across multiple degree programs such as Computer Science and Systems Engineering, Computer Engineering, and Film and Media Engineering. His research centers on Human-Computer Interaction, with a strong focus on Digital Wellbeing and End-User Development in the Internet of Things . He investigates how users can personalize smart environments through trigger-action programming and how design patterns in digital interfaces—such as Infinite Scroll and Never-Ending Autoplay—exploit psychological vulnerabilities to capture attention. His work aims to empower users with tools for self-control, meaningful interaction, and habit mitigation. The recent publications highlight a consistent trajectory in digital self-control tools , attention-aware design , and semantic recommendation systems for IoT. His research bridges theoretical analysis with practical tools, including conversational agents (HeyTAP), debugging platforms (EUDebug, My IoT Puzzle), and ontologies (EUPont) to lower the barrier for non-technical users. Scientific contributions include: Systematic review of digital self-control tools (TOCHI 2022) Typology of Attention-Capture Damaging Patterns (CHI 2023) Design frameworks for meaningful interactions (AVI 2022) Behavioral interventions for smartphone habits (TiiS 2021) He actively supervises PhD students—Francesca Russo, Robert Everett Schwartz, and Luca Scibetta—on topics ranging from AI for education to digital wellbeing in high-schools. His work is supported by competitive research projects such as EMPATHY - Empathetic Mobility Platform . He has contributed to multiple national and international collaborations, notably with Santa Clara University (USA). Alberto leads and participates in research initiatives within the e-Lite - Intelligent and Interactive Systems group, focusing on intelligent interfaces, user empowerment, and ethical design. His lab develops tools that translate high-level user intentions into executable IoT rules, promote digital literacy, and support conscious technology use.

Helena Cooper-Thomasمشاهده پروفایل

استاد

• Organizational Behavior
• Industrial and Organizational Psychology
• Workplace Wellbeing
• +۷ مورد دیگر

Professor Helena Cooper-Thomas is a faculty member at Auckland University of Technology (AUT), holding the position of Professor of Organizational Behavior in the AUT Business School. She also holds honorary positions at the University of Auckland and the University of Waikato, reflecting her broad academic influence in Aotearoa New Zealand. Her research and teaching focus on organizational behavior, with an emphasis on employee development and workplace relationships. Her research interests include: New employee adjustment and organizational socialization Proactive behavior and work engagement Workplace wellbeing and quality of working life Workplace friendships and person-organisation fit Quantitative and qualitative research methods Professor Cooper-Thomas's recent publications explore themes such as workplace gossip, psychological contracts, job crafting, and sustainability in organizations. Her work often investigates the social dynamics of onboarding, the role of leadership in psychological safety, and the impact of environmental practices on employee wellbeing. She employs both empirical and methodological approaches, contributing to both theoretical and practical understanding in organizational psychology. She has received scientific recognition including: Best Paper Award, Group & Organization Management (2024) Best Paper selected by the Careers Division of the Academy of Management (2023) Professor Cooper-Thomas is actively involved in mentoring and supervising graduate students at both Master’s and PhD levels, with recent projects covering topics such as broken psychological contracts, psychological safety for racial minorities, and menopause in the workplace. She contributes significantly to academic service as a Representative-at-Large for the Academy of Management’s Organizational Behavior Division (2022–2025) and as a member of the Royal Society Te Apārangi Marsden Panel for Economics and Human Behaviour (2022–2024). She also serves on editorial boards for the Journal of Business and Psychology and Journal of Managerial Psychology, and regularly reviews for top journals and grant agencies. Her outreach includes public engagement through articles in The Conversation and NZ Management magazine, translating research into practical leadership insights. She has collaborated with institutions across Europe, North America, and Asia, and has been a visiting scholar at the University of Toronto, Cass Business School, Tilburg University, and Exeter Business School. She co-organizes the annual Aotearoa New Zealand Organisational Psychology and Organisational Behaviour Conference, fostering scholarly exchange nationally.

Barry Goldmanمشاهده پروفایل

دانشیار

• Human resource management
• Conflict management and negotiation
• Organizational justice
• +۲ مورد دیگر

Barry Goldman serves as Associate Professor of Management and Organizations at the University of Arizona's Eller College of Management, where he has held faculty position since 1998. His academic home resides within the Department of Management and Organizations, focusing on the intersection of legal frameworks and organizational behavior. Previously, he practiced as an attorney with the U.S. General Accounting Office and private law firms before transitioning to academia. His educational background includes dual advanced degrees from the University of Maryland: a PhD in Human Resources and Organizational Behavior alongside a Juris Doctor (JD). This unique combination forms the foundation of his interdisciplinary research approach. Goldman's research centers on human resource management, conflict resolution, and organizational justice, with particular emphasis on employee legal-claiming behaviors , negotiation dynamics , and social exchange theory . His work examines how individuals perceive fairness in workplace disputes, the psychological underpinnings of negotiation approaches across professional groups, and the complex interplay between legal systems and organizational justice. Recent publications increasingly address diversity issues in hiring practices and systemic justice reform. Analysis of his publication trajectory reveals consistent focus on workplace dispute resolution mechanisms, with growing attention to intersectional discrimination and technology-mediated conflicts. His research bridges psychological theory with practical legal applications, demonstrating how social exchange principles shape responses to perceived injustice. His scientific recognition includes: Top 1 percent (#40) Most Cited Management Author (2000-2004) Best Paper Award in International Journal of Conflict Management (2017) Highly Commended Award from International Journal of Conflict Management Goldman maintains active professional engagement through editorial roles at Journal of Applied Psychology and Journal of Management, while serving as Senior Book Editor for International Journal of Conflict Management. His practical application extends to extensive executive education consulting and expert witness activities in employment law cases, demonstrating the real-world impact of his theoretical work. He previously chaired the Conflict Management Division of the Academy of Management for a five-year term.

Alexandru G. Bardasمشاهده پروفایل

دانشیار

• Cybersecurity
• Systems Security
• Moving Target Defenses
• +۹ مورد دیگر

Alexandru G. Bardas is an Associate Professor at the University of Kansas in the Department of Electrical Engineering & Computer Science (EECS) and the Institute for Information Sciences (I2S) . He received his PhD from Kansas State University under advisors Xinming (Simon) Ou and Scott A. DeLoach. His research focuses on cybersecurity from a systems perspective , including moving target defenses, security operations center (SOC) metrics, DevOps security, power grid cybersecurity, and defensive technologies for political activists. He explores UDP-based DDoS detection, DNS traffic analysis, and the intersection of AI with cybersecurity, emphasizing foundational knowledge over tool-specific training. Key research areas: Cybersecurity, Systems Security, Moving Target Defenses, SOC Metrics, DevOps Security Recent publications in ACSAC 2024 , USENIX Security 2024/2023 , and IEEE Security & Privacy 2022 Dr. Bardas has received significant recognition including: NSF CAREER Award (2022) for SOC automation Bellows Scholar (2021) at KU NSA SoS Honorable Mention (2023) He actively advises students across disciplines, with graduates now at Sandia National Laboratories , Blue Cross Blue Shield , and Pacific Northwest National Laboratory . Dr. Bardas participates in NSF grant reviews , serves on program committees for SOUPS and MILCOM , and leads outreach initiatives like the GenCyber Summer Camp .