Marek Ilnicki is a Lecturer at the University of Gdańsk , affiliated with the Faculty of Social Sciences and specifically the Department of Strategic and Security Studies . His academic focus lies at the intersection of political science, security studies, and maritime law. Fields of Interest : Political Science, Security Studies, Maritime Law, Counterterrorism, International Relations, and Crisis Management. Research Trends in his publications emphasize legal frameworks for state security, maritime governance, terrorism prevention, and international cooperation. His work often addresses Poland's strategic challenges in maritime environments and border security. Contact Information : Email: marca.ilnicki@ug.edu.pl Phone: +48 58 523 41 81
Dr. Shirin Nilizadeh is an Associate Professor in the Department of Computer Science and Engineering at The University of Texas at Arlington's College of Engineering. She leads the Security and Privacy Research Lab, conducting interdisciplinary research at the intersection of cybersecurity, privacy, machine learning, and social media analysis. Her work addresses critical societal issues related to online security, privacy, and safety through data-driven approaches. Dr. Nilizadeh received her PhD in Computer Science from Indiana University in 2014, followed by MS in Computer Science from Amirkabir University (2007) and BS in Computer Engineering from Islamic Azad University (2004). Her research focuses on security and privacy in systems and social networks, employing techniques from machine learning and big data analytics. She takes a highly interdisciplinary approach, integrating AI, NLP, social sciences, and public health to address societal issues in cybersecurity and privacy. Her research objectives include: (1) detecting and characterizing emerging threats in online social networks like social engineering attacks, misinformation, and online hate speech; (2) advancing the adversarial robustness and fairness of ML and NLG systems; and (3) studying humans' online behaviors through data-driven interdisciplinary research. Analysis of her recent publications reveals a strong focus on AI-generated security threats, particularly phishing scams using LLMs, NFT fraud detection, social media toxicity analysis, and content moderation systems. Her work bridges theoretical security research with practical applications, often addressing real-world security challenges through innovative technical solutions. Among her notable scientific achievements are the prestigious NSF CAREER award (2023), Comcast Innovation Awards (2022 and 2024), College of Engineering Outstanding Early Career Research award (2024), and IEEE SP 2024 Distinguished Paper Award. Her work has also received best paper and technical poster awards at eCrime 2021 and NDSS 2022. Dr. Nilizadeh has successfully mentored numerous doctoral and master's students while securing significant research funding, including multiple NSF grants and Comcast Innovation Fund awards. She leads a vibrant research group that has produced impactful work cited in official reports submitted to The Supreme Court and the EU Committee on Civil Liberties, Justice, and Home Affairs. Her lab has also received coverage from WIRED, MIT Technology Review, Orange's Hello Future, and Communications of the ACM. She serves on numerous program committees for top international conferences including ACM CCS, USENIX Security, and POPETS, and has organized outreach programs like OurCS@DFW to broaden participation of underrepresented students in computing.
Dr. David C Mohr is a Professor at Northwestern University Feinberg School of Medicine, holding joint appointments in Preventive Medicine, Medical Social Sciences, and Psychiatry. He serves as Director of the Center for Behavioral Intervention Technologies (CBITs) and Chief of Behavioral Medicine in the Department of Preventive Medicine. With a PhD in Clinical Psychology from the University of Arizona (1991), he transitioned from UCSF to Northwestern in 2006. His research focuses on designing digital mental health interventions leveraging user-centered design and smartphone sensor data. Notable contributions include developing smartphone apps for depression/anxiety management and pioneering implementation strategies for scalable digital mental health solutions. He has led over 400 publications, with recent work emphasizing AI ethics, wearable sensing, and healthcare workforce burnout. Education: BA: University of California, Berkeley (1980) MA/PhD: University of Arizona (1988/1991) Affiliations: Center for Behavioral Intervention Technologies (CBITs) Institute for Augmented Intelligence in Medicine Robert H. Lurie Comprehensive Cancer Center Dr. Mohr’s honors include APA and Society for Behavioral Medicine Fellowships. He advises global initiatives like ImplMentAll (EU-funded) and chairs the Society for Digital Mental Health. His work bridges clinical innovation with real-world implementation, emphasizing equity and sustainability in digital health solutions.
Dr. Paulien Herder is a Professor at Delft University of Technology (TU Delft) specializing in energy systems, agent-based modeling, and decision-making frameworks. Her work bridges engineering and social sciences through computational simulations. Key research areas: Energy Systems, Values in Engineering, Machine Learning Research Trends: Recent publications focus on agent-based modeling for public health responses (e.g., COVID-19 value dynamics ), machine learning integration in simulations, and community energy system optimization. Her work emphasizes societal impact through interdisciplinary collaborations. Scientific Recognition: Fellow of the Netherlands Academy of Engineering (2023) Academic Contributions: Key publications include critical reviews on community energy initiatives and frameworks for integrating indirect costs in energy planning. Her research output spans over 223 works with significant citations in energy and computational modeling domains.
Professor Gunnar Luderer leads the Energy Transition Lab at the Potsdam Institute for Climate Impact Research (PIK) and serves as Deputy Head of Research Department 3 - Transformation Pathways. He is also Professor of Global Energy Systems Analysis at the Technical University of Berlin and Deputy Project Leader of the BMBF-funded Kopernikus-Projekt Ariadne. University of Heidelberg (Physics, Economics, Atmospheric Sciences) Oregon State University (Physics, Economics, Atmospheric Sciences) PhD at Max Planck Institute for Chemistry in Mainz His research focuses on energy system transformations , climate change mitigation pathways , and economic modeling using the REMIND model. Recent work explores hydrogen futures , bioenergy sustainability , and policy interactions across sectors. Selected article trends reveal expertise in multi-model intercomparisons , sectoral decarbonization , and techno-economic analysis of energy transitions across EU, China, and global contexts. World's Most Highly Cited Researcher (Web of Science Group, 2019-2024) Lead Author, UNEP Emissions Gap Reports (2013, 2018) Contributing author to multiple IPCC reports Lead Author, IPCC Special Report on Climate Change and Cities (2025) Luderer teaches Energy and Climate Change at TU Berlin, covering climate physics, energy technologies, and policy frameworks. His team's research appears in Nature Energy , Nature Communications , and other high-impact journals.
Avi Goldfarb is Professor of Marketing at the Joseph L. Rotman School of Management, University of Toronto, where he holds the Rotman Chair in Artificial Intelligence and Healthcare. He serves as Chief Data Scientist at the Creative Destruction Lab and Research Associate at the National Bureau of Economic Research (NBER). His academic career spans 2002-2012 as Assistant and Associate Professor, becoming Professor of Marketing in 2012. Rotman Chair in Artificial Intelligence and Healthcare (2018-present) Professor of Marketing (2012-present) Research Associate, NBER (2014-present) Chief Data Scientist, Creative Destruction Lab (2015-present) Research Interests : Specializing in digital economics and the economics of artificial intelligence, his work bridges technology, marketing, and public policy. Key focus areas include: Digital economics and platform behavior AI adoption in healthcare systems Quantum computing economic implications Privacy regulation and data markets AI's impact on labor and inequality General purpose technology frameworks Publication Trends : His recent work spans AI implementation strategies across industries, digital behavior economics, and emerging technology commercialization. Key subfields include AI adoption patterns, digital privacy frameworks, quantum computing applications, and workplace health safety analytics. Scientific Recognition : INFORMS Society of Marketing Science Long Term Impact Award (2018) Roger Martin Award for Excellence in Teaching (2017) Leadership Roles : Former Senior Editor at Marketing Science (2016-2021), with editorial board memberships at Management Science, Journal of Marketing Research, and Journal of Economics and Management Strategy. He contributes to the Acceleration Consortium and Schwartz Reisman Institute for Technology and Society.
Laura J. Faherty is a Senior Physician Policy Researcher at the RAND Corporation and an Affiliate Professor of Policy Analysis at the RAND School of Public Policy. She is also an Associate Professor at the Tufts University School of Medicine and an attending physician at Maine Medical Center, holding the title of RAND Global Scholar in Pandemic Preparedness. Her research focuses on maternal-child health, pandemic preparedness, vaccination strategies, and behavioral health surveillance in public health crises. Education: M.D. and M.P.H. (Global Epidemiology) from Emory University M.S. in Health Policy Research from the University of Pennsylvania B.A. in History of Science from Princeton University Research Interests: Her work emphasizes building public health trust through social media, wastewater surveillance for pandemic early warning, school vaccination policies, and perinatal behavioral health. She has contributed to critical initiatives like the CDC-funded behavioral health surveillance toolkit, the 2020 U.S. Vaccines National Strategic Plan, and The Rockefeller Foundation's playbook for K–12 school testing during the pandemic. Grants & Funding: Supported by NIH (NIDA, NIMHD, NIMH), the Bill & Melinda Gates Foundation, the Rockefeller Foundation, and CDC. Labs & Teams: Collaborates across interdisciplinary teams at RAND, Tufts, and global health organizations to address pandemic preparedness and maternal-child health disparities.
Ellen Fitzsimmons-Craft is an Associate Professor in the Department of Psychological & Brain Sciences and the Department of Psychiatry at Washington University in St. Louis. She leads the ACCESS Lab, which focuses on scalable digital solutions for eating disorders and mental health disparities. Her work integrates technology, implementation science, and public health to bridge research-practice gaps. Ph.D., University of North Carolina at Chapel Hill M.A., University of North Carolina at Chapel Hill B.A., University of Notre Dame Her research centers on digital interventions for eating disorders, particularly through mobile apps and chatbots. She emphasizes equitable access to care, prevention, and evidence-based treatments using technology. Her work is grounded in cognitive behavioral therapy and implementation science, aiming to scale interventions across college campuses and broader populations. Recent publications highlight her leadership in chatbot development, online screening, and cluster randomized trials of digital CBT. Her work spans mobile health (mHealth) , implementation science , college mental health , and public health innovation . She has published in top journals such as JAMA Network Open , International Journal of Eating Disorders , and Contemporary Clinical Trials . Translational Impact Award, ISRII (2025) Transformation of Mental Health Care grant, Klingenstein Foundation (2024) She mentors graduate and undergraduate students and leads major funded projects, including an NIH R01 grant on chatbot optimization. She also serves as Director of the mHealth Research Core and Treasurer of the Academy of Psychological Clinical Science. Her lab collaborates with industry, non-profits, and government agencies to translate research into real-world impact. The ACCESS Lab develops and tests digital tools to expand access to eating disorder care. Current projects include state-wide university screening platforms, adolescent chatbots, and provider training in digital CBT. The lab emphasizes diversity, equity, and scalability in mental health innovation.
Dr Frank Herold is a Senior Lecturer in Physical Education and Sports Science at the School of Sport, Exercise and Rehabilitation Sciences, University of Birmingham. His work spans teaching, research, and administration, with a focus on pedagogy and professional learning in physical education. PhD : Loughborough University MA : Sports Studies, University of Wolverhampton PGDip : Management Studies, Staffordshire University BEd : Goethe University Frankfurt/Main Dr Herold's research focuses on initial teacher education in physical education, particularly on the development of subject knowledge and pedagogical content knowledge in trainee teachers. He also explores the integration of ICT in PE, assessment for learning, and inclusion practices. His teaching responsibilities include theory and practical modules in teaching and coaching across undergraduate and postgraduate programs. His recent publications reflect a strong trend in educational reform, mentorship models, and curriculum development in PE. The articles span topics such as national curriculum implementation, mentoring across career stages, and ecological approaches to teacher development, indicating a sustained scholarly engagement with pedagogical innovation and teacher training. Senior Lecturer in Physical Education and Sports Science Head of Quality and Senior Tutor Admissions He has contributed to major edited volumes on mentoring in PE and sports coaching and has presented at international conferences such as AIESEP and ECER. His collaborative work with scholars like Fiona Chambers and Mark Waring underscores his role in advancing mentorship and professional learning in physical education.
Markku Kangaspuro is Professor and Director of the Aleksanteri Institute - Finnish Centre for Russian and East European Studies at the University of Helsinki. He holds a Docent title in Political History from the Faculty of Social Sciences. His roles include Research Director (2009-2010), Vice Director (2010-2018), and Director (2018-present) of Aleksanteri. He earned his PhD from the University of Joensuu in 2000 with a dissertation on Soviet Karelia. Education highlights include a MA in History (1991), Lic.Phil in History (1996), and Docent qualifications from both University of Helsinki (Political History) and University of Joensuu (Russian History). His research focuses on Russian political development, nationalism, and post-Soviet modernization challenges. Key projects include the Russian Media Lab and studies on health data manipulation in authoritarian regimes. Research interests span political history of the USSR/Russia, identity politics, and foreign policy analysis. Recent work examines Victory Day politics, Stalinist legacy, and contemporary security dynamics. He has authored/co-edited over 120 publications including War and Memory in Russia, Ukraine and Belarus (2017) and contributed to studies on toponymic disputes and authoritarian modernization. Recipient of prestigious awards such as Doctor Honoris Causa from Petrozavodsk State University (2020) and Honorary Professor title in Stavropol (2009). Active in policy consultations, media commentary, and international academic networks. Supervised two doctoral theses and participates in interdisciplinary research initiatives like the Finnish Centre of Excellence in Russian Studies.
Zhu Yan serves as Professor at Tsinghua University's School of Economics and Management, Department of Management Science and Engineering. He concurrently holds leadership positions as Dean of Tsinghua's Internet Industry Research Institute, Director of the Advanced Information Technology Business Application Laboratory, and Executive Deputy Director of the Medical Management Research Center. Education: Postdoctoral Fellow (1998-2000) and Ph.D. in Nuclear Energy Technology (1994-1998) at Tsinghua University, Bachelor's in Engineering Physics (1989-1994) Professional Experience: Professor (2010-present), Associate Professor (2002-2010), Lecturer (2000-2002); Visiting Scholar at MIT Sloan, CUHK, and Lancelot Institute Professor Zhu's research spans digital transformation , industrial blockchain , and digital production relations , with emphasis on practical applications in healthcare, construction, and finance. His work bridges theoretical frameworks with industry implementation, particularly in China's digital economy evolution. Current projects focus on industrial internet integration and digital finance systems. His 15 most recent publications demonstrate strong interdisciplinary focus, connecting information systems with healthcare analytics (40%), industrial digitalization (35%), and economic policy (25%). The research shows increasing emphasis on AI-driven diagnostic systems and pandemic-responsive economic strategies since 2020. Beijing Philosophy and Social Sciences Excellent Achievement Award (2020) China Petroleum and Chemical Automation Association Science and Technology Progress Award (2010) Multiple Beijing Science and Technology Progress Awards (2001, 2005) Tsinghua University Outstanding Teaching Award (1999) As academic advisor to national initiatives, Professor Zhu leads the China Technology Economics Society's Blockchain Division and serves as Chief Academic Officer for Chengdu University of Information Technology's Blockchain Industry College. His industry partnerships include SAP Global HR Advisory role since 2000 and CCTV Financial Commentary position since 2015. Current research funding focuses on digital infrastructure development through the Industrial Digital Finance Technology Application Laboratory. He directs the Advanced Information Technology Business Application Laboratory, which develops enterprise digital transformation frameworks, and co-leads the Medical Management Research Center's AI diagnostic initiatives. Current projects include national blockchain infrastructure development and pandemic-resilient supply chain systems.
Kathrin Kaufhold is an Associate Professor in Applied Linguistics at Stockholm University's Department of English. Her research examines academic writing practices in multilingual and interdisciplinary contexts, focusing on knowledge recontextualization, translanguaging strategies, and institutional communication dynamics. She coordinates undergraduate thesis projects and teaches academic writing, research methods, and sociolinguistics. Current research explores participation in academic writing dialogues Investigates English's role in multilingual university environments Examines institutional communication mediation processes Her work bridges theoretical frameworks from Vygotskian socio-cultural theory and genre pedagogy with practical applications in writing center operations and healthcare communication. She leads the Language and Power research network addressing contemporary linguistic challenges in polarized academic environments. Key collaborations include projects with: Karolina Wirdenäs (healthcare communication) Niina Hynninen (academic writing evolution) Maria Kuteeva (language policy in Nordic universities) Her teaching emphasizes: Academic writing development Research methodology applications Discourse analysis frameworks Applied linguistics principles
Kristian Hadjiev is a Professor at the Department of Administration and Management of New Bulgarian University (NBU) . With over 25 years of academic experience since 1997, he specializes in virtual teams , organizational design , and project management , focusing on high-performance organizations and cultural change management . Received his PhD from NBU in 2004 and a second Doctorate from the Higher Attestation Commission (VAK) in 2009. Has served as Head of the Department of Business Administration (2012) and currently leads in virtual team management. Active in editorial boards including the International Journal of Private Higher Education and the Bulgarian Academy of Sciences' Economic Thought journal. His research explores virtual team effectiveness , organizational transformation , and innovative management models , supported by projects like TUdi (2021-2025) for EU-China soil sustainability and earlier work on training virtual teams in business competitions. He has developed curricula for online education, including e-health programs, and contributed to accreditation standards for doctoral programs. Prof. Hadjiev participates in international conferences (e.g., Struga International University , Dubai Management Conference ) and co-founded the Center for Risk Analysis (CAUR) while mentoring students and contributing to policy frameworks for higher education reform.
Dr. Georgiana Ifrim is an Associate Professor at the School of Computer Science, University College Dublin , where she serves as Director of Graduate Research and Co-Lead of the SFI Centre for Research Training in Machine Learning (ML-Labs). She holds concurrent appointments as an SFI Funded Investigator at the Insight Centre for Data Analytics and VistaMilk SFI Research Centre . Her academic journey includes postdoctoral research at Insight Centre, Cork Constraint Computation Centre (4C), and Aarhus University's Bioinformatics Research Centre (BiRC). Education: BSc in Computer Science, University of Bucharest, Romania MSc and PhD in Informatics, Max-Planck Institute for Informatics, Germany Dr. Ifrim specializes in scalable predictive modeling for diverse applications including: Sequence learning (DNA analysis, time series) Real-time prediction for streaming data (news/social media, energy) Interpretable machine learning models Knowledge graph exploitation (WordNet/Yago, Naga) Wearable sensor data analysis (sports science, health monitoring) Energy price forecasting for sustainable systems Her recent publications focus on time series explainability (TSHAP, tsCaptum), multivariate analysis (scalable channel selection), and healthcare applications (fall detection, walking speed estimation). Key contributions include open-source tools like SEQL (sequence learner) and Twitter-Topics (event detection). Scientific Awards: Winner of SNOW@WWW14 Data Challenge As Director of Graduate Research, she oversees advanced academic training while leading funded projects at the intersection of machine learning , real-time analytics , and domain-specific applications in agriculture, healthcare, and digital journalism. Her research group maintains active GitHub repositories with open-source implementations.
Hwanhee Hong is an Associate Professor in the Department of Biostatistics and Bioinformatics at Duke University School of Medicine and a member of the Duke Clinical Research Institute. Affiliated with the Biostatistics, Epidemiology, and Research Design (BERD) Methods Core and the B&B Faculty, Dr. Hong maintains an active research program focused on statistical methodology development for clinical applications. Dr. Hong's educational background includes a Ph.D. in Biostatistics from the University of Minnesota (2013), an M.S. in Biostatistics from Harvard University (2010), and a B.S. in Statistics from Chung-Ang University, Korea (2008). Prior to joining Duke, they completed a postdoctoral fellowship at Johns Hopkins Bloomberg School of Public Health under Dr. Elizabeth A. Stuart. Research interests center on Bayesian statistical methods for comparative effectiveness research, network meta-analysis, causal inference, measurement error correction, and data integration across multiple sources. Their work emphasizes adaptive information borrowing to address clinical and public health questions, particularly in developing flexible Bayesian modeling frameworks that synthesize diverse data streams for evidence generation. Analysis of recent publications reveals consistent methodological focus on network meta-analysis techniques, causal inference with error-prone covariates, generalizability assessment, and time-to-event analysis. The research spans applications in pediatrics, cardiology, obesity treatment, and vaccine effectiveness, demonstrating strong translational impact across medical domains. Dr. Hong actively collaborates with biostatisticians, epidemiologists, clinicians, and health policymakers through multiple funded projects, though no formal awards or fellowships are documented in the provided materials. Participant, Faculty Success Program, National Center for Faculty Development & Diversity (2023) Participant, Faculty Curriculum on Anti-Racism, Duke Office of Faculty Advancement (2021) Teaching responsibilities include BIOSTAT 719: Generalized Linear Models. Current grant funding spans eight major projects totaling over $20 million, primarily from NIH and PCORI, addressing pediatric care coordination, mental health interventions, obesity treatment, diabetes management, and advanced biostatistical methodology development. Dr. Hong's laboratory work focuses on computational approaches for data integration, maintaining active collaborations with the Duke Clinical Research Institute and multiple external institutions including Johns Hopkins University and North Carolina State University.
