جست‌وجوی استاد و پژوهشگر

Clément Malgouyresمشاهده پروفایل

پژوهشگر

• Labor Economics
• Public Economics
• Corporate Taxation
• +۳ مورد دیگر

Clément Malgouyres serves as a CNRS Researcher (Chargé de Recherche) at CREST, a leading research center affiliated with ENSAE Paris and Paris School of Economics (PSE). He maintains dual affiliations with the Institut des politiques publiques (IPP) at PSE and the Economics of Innovation Lab at Collège de France, while also holding research affiliate status at IZA. His institutional positioning bridges academic research with direct policy relevance through these multiple high-impact affiliations. Malgouyres earned his PhD from the European University Institute (Florence) in 2016 followed by his HDR (Habilitation à Diriger des Recherches) from Sciences Po in 2021. His professional trajectory includes prior experience as a research economist at Banque de France, providing him with practical insights into central banking operations before transitioning to his current academic research role. As an applied economist specializing in public and labor economics, Malgouyres investigates how public policy shapes corporate behavior, with particular focus on corporate taxation's impact on entrepreneurship and firms' roles in labor markets. His methodological approach combines rigorous empirical analysis of administrative datasets with structural economic modeling to identify causal relationships. Recent work examines environmental policy trade-offs in EV incentives, while earlier research explored trade shock impacts on labor markets and voting behavior, demonstrating his capacity to address both contemporary and foundational economic questions. His publication trajectory reveals an evolving research agenda increasingly focused on the intersection of environmental policy, technological change, and economic inequality. Malgouyres employs natural experiments and quasi-experimental designs to evaluate policy impacts, with recent work analyzing French environmental score reforms and broadband internet's effects on occupational segregation. This methodological consistency across diverse topics enables robust policy evaluation while maintaining academic rigor. Quarterly Journal of Economics (forthcoming) American Economic Review (2023) Journal of Public Economics (2022) Journal of Labor Economics (2025) Journal of International Economics (2021) Malgouyres actively translates academic research into policy impact through commissioned evaluations for French governmental bodies. His work on the CICE tax credit reform informed parliamentary budget discussions in 2019, with findings covered by major media outlets including Le Monde and Les Echos. Additional policy contributions include evaluations for France Stratégie (Prime Minister's think tank) and the Ministry of Labor, demonstrating his commitment to evidence-based policymaking. Through CREST and affiliated networks, Malgouyres participates in interdisciplinary research consortia connecting economics with political science and sociology. His current projects examining decarbonization incentives and corporate tax policy involve collaboration with leading institutions including Sciences Po and the Collège de France, positioning him at the forefront of policy-relevant economic research in France.

• Clinical Psychology
• Cognitive Behavioral Therapy
• Psychopathology
• +۵ مورد دیگر

Dirk Hermans is a Professor at the Faculty of Psychology and Educational Sciences , KU Leuven , Belgium. He is a Clinical Psychologist and Behavior Therapist with a focus on cognitive behavioral therapy (CBT) and experimental psychopathology. Currently, he serves as Director of the Research Unit 'Behavior, Health and Psychopathology' Director of KU Leuven's postgraduate CBT training Principal Investigator for the KU Leuven Center for Excellence (Generalization Research) Principal Investigator for KU Leuven's C1 program 'Extinction, Avoidance, Generalization' Research Interests His work centers on autobiographical memory and psychopathology and associative mechanisms of fear (extinction, generalization, avoidance). Key subfields include Exposure therapy for anxiety and related disorders Virtual reality applications in adolescent mental health Implementation science for evidence-based practices Posttraumatic stress in high-risk professions Repetitive negative thinking in emotional disorders Scientific Contributions Recent publications explore mechanisms in exposure therapy, virtual reality interventions for social anxiety in adolescents, and predictive models linking fear extinction to anxiety outcomes. His research is funded by grants such as KU Leuven Center for Excellence Hercules Foundation infrastructure grants European Meeting of Human Fear Conditioning Notable Awards Fellow, Association for Psychological Science (2010–present) Fellow, Association for Behavioral and Cognitive Therapies (2017–present)

Michael P Hartمشاهده پروفایل

استادیار

• Genetics
• Cell and Molecular Neuroscience
• Neurobiology of Disease
• +۱۱ مورد دیگر

Michael P Hart is an Assistant Professor of Genetics at the University of Pennsylvania's Perelman School of Medicine. He serves as a Principle Investigator in the Autism Program of Excellence and is a Member of the Center of Excellence in Environmental Toxicology. His research focuses on understanding the cellular and molecular mechanisms of neuronal circuit formation and plasticity. Education: B.S. in Neuroscience from St. Lawrence University (2006) Ph.D. in Neuroscience from University of Pennsylvania (2012) Research Interests: Dr. Hart's research focuses on understanding the cellular and molecular mechanisms of neuronal circuit formation and plasticity. His work specifically investigates: 1) how neuronal circuits are wired through synaptic connections between neurons; 2) how synaptic connections within circuits are modified; and 3) how these modifications impact behavior. He is particularly interested in understanding the circuit-associated functions of genes associated with neurodevelopmental and neuropsychiatric disorders, including autism and schizophrenia. Using C. elegans as a primary model system, his lab leverages the organism's simple nervous system (302 neurons) to study complex questions in neurobiology with unparalleled resolution. This approach allows for analysis of gene function at the level of single neurons and single isoforms, providing insights into fundamental neurobiological processes and disease mechanisms. Publication Trends: Dr. Hart's recent publications demonstrate a strong focus on synaptic proteins (particularly neurexins and neuroligins), their role in circuit formation and plasticity, and how variants in these genes relate to neurodevelopmental disorders. His work bridges basic neurobiology with translational research, using C. elegans to model human conditions like autism and schizophrenia. A significant portion of his recent work examines how genetic variants impact behavior through changes in neuronal circuits, with multiple publications in high-impact journals including Nature Communications and Communications Biology in 2024. Training and Mentorship: Dr. Hart is actively seeking candidates for graduate and undergraduate research positions in his lab. His postdoctoral training at Columbia University (2012-2017) and subsequent role as a Research Associate at Penn's Department of Genetics (2017-2019) have prepared him to mentor students in neuroscience, genetics, and molecular biology techniques. The lab provides opportunities to work with the C. elegans model system to address fundamental questions in neurobiology. Research Environment: The Hart Lab is located in the Clinical Research Building (CRB) at the University of Pennsylvania, with lab space in CRB 450 and office in CRB 452A. The lab is part of the Department of Genetics within the Perelman School of Medicine and maintains strong connections with the Cell and Molecular Biology and Neuroscience graduate groups. The research environment emphasizes interdisciplinary approaches to understanding neural circuit function and its relationship to neurodevelopmental disorders.

Maali Benhissiمشاهده پروفایل

استادیار

• Consumer Behavior
• Customer Experience
• Sustainable Consumption
• +۳ مورد دیگر

Maali Benhissi is an Assistant Professor in Marketing at EDC Paris Business School. She holds a PhD in Management Sciences (Marketing) from the University of Lille and is actively engaged in research focusing on consumer behavior in retail environments. Her primary research interests include Consumer Behavior , Customer Experience , Sustainable Consumption , and Digital Marketing . Her work particularly examines how environmental factors in retail spaces influence consumer decision-making processes. She has conducted cross-cultural studies comparing consumer responses in Tunisia and Colombia, revealing how different cultural contexts shape reactions to store crowding and spatial constraints. Her recent publications demonstrate a consistent focus on understanding consumer avoidance strategies in crowded retail environments, both during regular shopping periods and during sales events. Her research combines psychological theories with practical retail management applications, providing actionable insights for retailers navigating post-pandemic consumer expectations. Her research methodology typically involves quantitative studies with significant sample sizes (608 consumers in her 2025 publication) and incorporates theoretical frameworks such as coping theory to explain consumer behavior. She frequently collaborates with researchers from other French institutions, demonstrating strong academic networking within the French research community.

Valery Grinevichمشاهده پروفایل

استاد

• Neuropeptide Signaling
• Neurobiology of Oxytocin
• Behavioral Neuroscience
• +۳ مورد دیگر

Valery Grinevich is a Professor at the Central Institute for Mental Health, Mannheim , focusing on neuropeptide research in psychiatry. His career spans from PhD studies in Saint-Petersburg (1992-1996) to leading a research team exploring oxytocin's central actions on pain, fear, and socio-sexual behaviors. Education : PhD (1992-1996) in Saint-Petersburg Institution : Central Institute for Mental Health, Mannheim Research Focus : Neuropeptide signaling, oxytocin neurobiology, pain processing, social behavior, and emotional regulation His research investigates how oxytocin modulates fear responses , social communication , and stress-induced behaviors , with key contributions to understanding hypothalamic oxytocin systems and central amygdala circuits . Publications reveal a focus on neuroplasticity , neuroendocrine interactions , and rodent models of psychiatric conditions. Current work examines astrocyte-neuron interactions , chemogenetic activation of oxytocin neurons, and inter-female communication mechanisms. The team utilizes advanced techniques to study parvocellular/magnocellular neuron dynamics and emotional discrimination .

Sonke Johnsenمشاهده پروفایل

استاد

• Visual ecology
• Marine biology
• Bioluminescence
• +۵ مورد دیگر

Sonke Johnsen is the Ida Stephens Owens Distinguished Professor in the Department of Biology at Duke University's Trinity College of Arts & Sciences, with additional appointments as Professor in the Division of Marine Science and Conservation at the Nicholas School of the Environment. He is also affiliated with the Duke Institute for Brain Sciences and the Duke Initiative for Science & Society. His research program focuses on visual ecology, examining how animals interact with light in natural environments. The Johnsen Lab investigates bioluminescent signals underwater, visibility of aquatic animals, tissue ultrastructure and transparency, polarization vision, ultraviolet vision effects on predation, and optical sampling techniques for zooplankton. They also collaborate with Dr. Ken Lohmann at UNC on magnetoreception research. Dr. Johnsen's recent publications reveal a strong focus on visual acuity across marine species, dynamic visual appearance, color signaling, and the interplay between light environments and animal behavior. His work spans from molecular mechanisms to ecological implications, showing particular interest in how visual systems have evolved to meet environmental challenges in aquatic habitats. His research has been supported by significant grants from the International Human Frontier Science Program Organization, Air Force Research Laboratory, and University of North Carolina - Chapel Hill for projects on transparency in fish, visual acuity, and magnetoreception in marine animals. Dr. Johnsen earned his Ph.D. from the University of North Carolina, Chapel Hill (1996) and his B.A. from Swarthmore College (1988). His interdisciplinary approach combines protein biochemistry, microscopy, behavioral studies, field techniques, and mathematical modeling to address fundamental questions in sensory biology.

Jennifer Greggمشاهده پروفایل

استاد

• Psychological Disorders
• Fear of Death
• End-of-Life
• +۳ مورد دیگر

Jennifer Gregg is a Professor in the Department of Psychology at San Jose State University's College of Social Sciences. Her research focuses on avoidance mechanisms in psychological disorders, particularly related to fear of death, end-of-life experiences, and grief. She explores how these avoidance behaviors intersect with coping strategies during global crises like pandemics, emphasizing their impact on meaningful living. Her work is inspired by collaborations with international research assistants, resilient students overcoming educational barriers, and patients sharing their end-of-life journeys. Contact: jennifer.gregg@sjsu.edu

Matthew Baldockمشاهده پروفایل

پژوهشگر ارشد

• Road Safety Research
• In-Depth Crash Investigation
• Impaired Driving
• +۷ مورد دیگر

Dr. Matthew Baldock is a Senior Research Fellow at the University of Adelaide , affiliated with the Faculty of Sciences, Engineering and Technology and the Centre for Automotive Safety Research . With 20 years in road safety research, his work spans in-depth crash investigation, impaired driving, motorcycle safety, and driver distraction. Education : PhD in "Self regulation of the driving behaviour of older drivers" (2004), University of Adelaide. Research Interests : - Road Safety : Medical conditions in crashes, age-related driver/pedestrian risks. - Crash Analysis : In-depth investigations, forensic trauma studies. - Policy Development : Graduated licensing systems, traffic penalties, and infrastructure design. Article Trends : His recent publications focus on medical conditions in crashes, motorcycle safety innovations, pedestrian protection, and forensic biomechanics. Key methodologies include epidemiological analysis and collision dynamics evaluation. Supervision : Eligible to supervise Masters and PhD candidates in road safety disciplines.

Tobias Bachمشاهده پروفایل

استاد

• Comparative Public Administration
• Bureaucratic Politics
• Merit-based Recruitment
• +۵ مورد دیگر

Tobias Bach is a Professor at the Department of Political Science , University of Oslo, and Deputy Director of the institute since 2024. He leads the research group Politikk, byråkrati og organisasjon and is involved in projects like KODEM (a national data infrastructure for social scientists) and Comparative Research on the Executive Triangle in Europe (CoREx) . His work bridges academic research with public policy implementation. Education: PhD in Political Science (Dr. rer. pol.) from University of Potsdam (2013). Research Interests: Tobias Bach’s research focuses on the interplay between political control and bureaucratic autonomy, meritocratic vs. politicized appointments, organizational change in government, and public trust in regulatory agencies. His comparative approach spans Norway, Germany, and other European countries, often utilizing survey experiments and longitudinal analyses. Scientific Awards: Fellow at the Hertie School (2015). Circle U. Chair of Democracy (2021-2023). Lead role in establishing KODEM, a national data infrastructure for social scientists (2024). Selected Publications: His recent work examines the functional politicization of civil services, the competence and responsiveness of bureaucrats, and how organizational changes affect civil servant proactivity. These studies often involve cross-national collaborations and experimental designs. Grants & Collaborations: Bach has secured significant grants for infrastructure development (KODEM) and participates in networks like The Blind Spots of Public Bureaucracy and Norsk Forvaltningspanel , which enable experimental and comparative analyses of public administration.

Frank Hechtnerمشاهده پروفایل

استاد

• Tax Impact Analysis
• Economic Analysis of Tax Law
• Tax Compliance Costs
• +۴ مورد دیگر

Prof. Dr. Frank Hechtner is a Professor of Business Taxation at Friedrich-Alexander University Erlangen-Nuremberg (FAU) , where he has held the chair since 2020. He previously held academic positions at the Free University of Berlin, including a junior professorship (2012-2017) and research assistant roles (2005-2010). His research focuses on tax impact analysis , economic analysis of tax law , tax compliance costs , and tax complexity . Current affiliation: FAU Erlangen-Nuremberg Previous: Free University Berlin Education: Ruhr University Bochum economics graduate Research Interests: Tax policy economic analysis Compliance cost measurement Gender equality in taxation Sustainability tax disclosures Digitalization in tax research Corporate tax avoidance deterrence Article Trends: Recent work combines tax economics , compliance behavior , and digital tax research , with notable studies on the 'Tampon Tax' , Digital Services Taxes , and AI applications for tax analysis . Publications appear in journals like European Economic Review , Public Finance Review , and Steuer und Wirtschaft . Collaborations: Frequently collaborates with researchers like Prof. Dr. Michael Fochmann, Prof. Dr. Christiane Nickel, and institutions including the German Federal Ministry of Finance.

• Clinical Psychology
• Counseling Science
• Acceptance & Commitment Therapy
• +۴ مورد دیگر

Tomu Otsuki is a Professor at the School of Human Sciences, Waseda University, holding a PhD in Clinical Psychology from Hiroshima International University. His academic career spans clinical psychology, counseling science, and behavioral analysis, with a strong emphasis on contextual behavioral science approaches. He maintains active research collaborations across Japan and internationally, particularly in school-based mental health interventions. Dr. Otsuki's research interests center on Acceptance and Commitment Therapy (ACT), Relational Frame Theory (RFT), psychological flexibility models, and their applications in educational and clinical settings. His work bridges theoretical behavioral psychology with practical applications for mental health promotion, particularly among children and adolescents. Recent research has focused on developing culturally adapted ACT interventions for Japanese school settings, examining teacher behavioral support skills, and investigating psychological flexibility as a mediator of mental health outcomes. His publication record demonstrates a clear progression from foundational research on Relational Frame Theory toward applied interventions in educational contexts. Recent articles show a strong emphasis on developing culturally relevant assessment tools (like Japanese versions of ACT questionnaires) and implementing school-based ACT interventions. His work increasingly incorporates longitudinal designs to examine causal pathways between psychological flexibility and mental health outcomes. Japanese Association of Cognitive and Behavioral Therapy Uchiyama Memorial Award (2017.09) Japanese Association of Behavior Therapy Uchiyama Memorial Award (November 2007) Dr. Otsuki has mentored numerous students who have become active researchers in contextual behavioral science, particularly Kenichiro Ishizu and Yoshiyuki Shimoda who frequently appear as first authors on collaborative projects. His research has been supported by various Japanese funding bodies focusing on educational psychology and mental health promotion in schools. He has been instrumental in developing training programs for teachers in behavioral support and psychological flexibility concepts. He leads the Ohtsuki Lab (https://www.ohtsuki-lab.info/), which functions as a hub for contextual behavioral science research in Japan. The lab collaborates with schools, clinical settings, and international research groups to advance both theoretical understanding and practical applications of ACT and RFT. Recent initiatives include digital mental health interventions for teachers and students, reflecting the lab's commitment to innovative delivery methods for evidence-based psychological approaches.

• Human geosciences
• Foundations of Life
• Bio-philosophy
• +۴ مورد دیگر

Yukio Gunji is a Professor at Waseda University's School of Fundamental Science and Engineering since 2014, with prior 27-year tenure at Kobe University. Holding a Ph.D. in Science from Tohoku University, he bridges Cognitive Science Quantum Logic Bio-inspired Computing Swarm Dynamics through interdisciplinary research. His work reveals quantum-like cognitive structures via Orthomodular lattices from rough set analysis Inverse Bayesian inference systems Asynchronous cellular automata models explaining phenomena like free will paradoxes , virtual agent persuasion , and Physarum plasmodium decision-making . Analysis of 15 recent articles shows strong focus on Lévy walk patterns in ants and fish schools, self-avoiding walk algorithms , and nonlocal cognitive models . Key contributions include Developing Extended Bayesian Inference frameworks Formalizing trilemma structures in consciousness studies Creating heterarchical market models with critical behavior while his Virtual Hand experiments challenge ownership perception boundaries through squeeze machine studies.

• Accounting Conservatism
• Stock Price Crash Risk
• Corporate Tax Avoidance
• +۴ مورد دیگر

Jeong-Bon Kim is a Distinguished Professor at Simon Fraser University, specializing in accounting, auditing, and corporate finance. His research examines stock price crash risk, accounting conservatism, tax avoidance, audit quality, and international financial reporting standards. With over 100 scholarly publications, he ranks among the top SSRN authors globally. Research Focus: Kim's work integrates accounting transparency with market outcomes, exploring how disclosure quality, corporate governance, and regulatory frameworks influence financial stability. Key themes include: Mechanisms driving stock price crashes (e.g., bad news hoarding, managerial overconfidence) Tax avoidance strategies and their impact on firm risk Audit quality determinants (e.g., office size, geographic proximity) IFRS/XBRL adoption effects on information asymmetry Recent Trends: His latest articles analyze climate risk disclosure, fintech applications (social media, XBRL), supply-chain information flows, and banking sector consolidation. Methodologically, he employs natural experiments, international datasets, and advanced econometrics to identify causal relationships.

Matthew Leaseمشاهده پروفایل

استاد

• Artificial Intelligence
• Human-Computer Interaction
• Responsible AI
• +۳ مورد دیگر

Matthew Lease is a Professor at the School of Information, University of Texas at Austin, where he serves as Director of Doctoral Studies and Assistant Graduate Advisor. He is a Distinguished Member of the Association for Computing Machinery (ACM), a Senior Member of the Association for the Advancement of Artificial Intelligence (AAAI), and an Amazon Scholar. Lease co-directs the $20M NSF-Simons AI Institute for Cosmic Origins (CosmicAI) and is a faculty founder and leader of UT's Good Systems, an eight-year, $20M university-wide Grand Challenge aimed at designing responsible AI technologies. In 2023-2024, he was invited four times to address the Texas Legislature on responsible AI. Ph.D. Computer Science, Brown University, 2010 M.Sc. Computer Science, Brown University, 2004 B.Sc. Computer Science, University of Washington, 1999 Lease directs the UT Austin Laboratory for Artificial Intelligence and Human-Centered Computing (AI&HCC), where his research spans artificial intelligence modeling and human-computer interaction design. His work focuses on creating novel datasets, building AI models, and evaluating both model performance and their impact on end-users. When automated AI falls short, his team designs human-in-the-loop approaches, leveraging AI model explanations and creative user interfaces. To promote fair AI, they focus on better annotation techniques to avoid bias and develop modeling strategies to mitigate dataset biases. Their work tackles real-world problems as part of UT Austin's Good Systems Grand Challenge, with an ongoing emphasis on content moderation—exploring automated, human-in-the-loop, and human-safe practices to combat disinformation, hate speech, and online polarization. Lease's recent publications (2021-2024) demonstrate a strong focus on human-centered AI, particularly in the areas of fair and explainable AI, content moderation, fact-checking, and crowdsourcing. His research integrates technical AI development with human factors considerations, emphasizing the importance of designing AI systems that work effectively with human users. The publications reveal a consistent theme of addressing bias in AI systems, improving human-AI collaboration, and developing methods to ensure the ethical deployment of AI technologies in sensitive domains like content moderation and misinformation detection. His work shows progression from foundational techniques in crowdsourcing and human computation toward more sophisticated approaches that consider psychological impacts and ethical implications. 2024 Test of Time Paper Award, AAAI Conference on Human Computation and Crowdsourcing (HCOMP) 2024 Most Influential Paper Award, IEEE/ACM International Conference on Automated Software Engineering (ASE) 2024 Best Paper Honorable Mention, ACM Conference on Computer Supported Cooperative Work (CSCW) 2022 Best Student Paper, Conference on Information Systems and Technology (CIST) 2020 Conference Award Track, Journal of Artificial Intelligence Research (JAIR) 2019 Best Student Paper, European Conference for Information Retrieval (ECIR) Early Career awards from DARPA, NSF, and IMLS Lease has secured significant funding for his research, including the $20M NSF-Simons AI Institute for Cosmic Origins and the $20M Good Systems Grand Challenge. His lab, AI&HCC, has developed numerous tools and methodologies for human-AI collaboration, particularly in the context of content moderation and fact-checking. He has advised numerous students who have gone on to publish in top-tier conferences and journals in AI, HCI, and NLP. Lease actively collaborates with industry partners including Amazon, where he serves as an Amazon Scholar, and has served on advisory boards for JASIS&T, Texas Advanced Computing Center (TACC), and UT Austin-Amazon Science Hub. His research has led to practical tools like SQUARE for aggregating crowd responses and methods for transparent AI evaluation. Lease leads the UT Austin Laboratory for Artificial Intelligence and Human-Centered Computing (AI&HCC), which has developed innovative approaches to human-AI collaboration. The lab's work on content moderation addresses critical challenges in online safety, including the psychological well-being of content moderators who face traumatic material. Their research on fair and explainable AI has produced methods for detecting toxic speech while maintaining accuracy across demographic groups. The lab actively collaborates with fact-checking organizations through co-design processes to create tools that meet real-world needs. As part of UT Austin's Good Systems initiative, the lab is developing AI technologies that prioritize human values and social responsibility from the outset of the design process.

Victor Bolbotمشاهده پروفایل

پژوهشگر

• Autonomous ships
• Marine systems safety
• Ship propulsion systems
• +۳ مورد دیگر

Victor Bolbot serves as a Postdoctoral Researcher in the Department of Energy and Mechanical Engineering at Aalto University, Finland, affiliated with the Marine and Arctic Technology research group. His work focuses on advancing safety, reliability, and cybersecurity frameworks for autonomous maritime systems through rigorous systems engineering approaches and data-driven methodologies. He maintains active collaborations with international researchers and institutions, evidenced by extensive co-authorship across high-impact publications. Dr. Bolbot's research centers on autonomous ships, marine systems safety, ship propulsion cybersecurity, and risk modeling. He employs systems-theoretic process analysis (STPA), Bayesian networks, and association rule mining to address critical challenges including maritime accident causation, cybersecurity vulnerabilities in dual-fuel engines, safety acceptance criteria for autonomous vessels, and socio-technical implications of maritime automation. His methodological innovations bridge theoretical safety engineering with practical applications in Arctic navigation, inland waterways, and regulatory compliance, emphasizing the integration of cyber-physical risk assessment. Analysis of his 2023-2025 publications reveals three dominant research trajectories: (1) Development of cyber-physical risk frameworks like STPA-Cyber for maritime cybersecurity; (2) Real-time Bayesian modeling for dynamic operations including remote pilotage and ice navigation; and (3) Socio-technical investigations into regulatory frameworks, educational needs, and workforce skill transformations for autonomous shipping. His work consistently addresses the interplay between technological innovation and safety assurance, with growing emphasis on cybersecurity as a critical maritime safety component. As an active member of Aalto University's Marine and Arctic Technology research group, Dr. Bolbot contributes to interdisciplinary projects tackling complex challenges in marine safety engineering, Arctic operations, and sustainable maritime technologies. The group's collaborative environment supports the development of safer, more efficient, and environmentally conscious maritime systems through experimental validation, computational modeling, and industry partnerships.