Saroj Pokharel is an Instructor in the Department of Physics and Astronomy at the University of Mississippi. He holds an M.A. in Physics from the same institution (2023). His research focuses on experimental particle physics, particularly using data from the Belle and Belle II experiments. Key areas include CP violation studies, lepton flavor violation searches, dark matter physics, and precision measurements of quark mixing parameters (CKM matrix angles). His work involves analyzing B-meson decays to probe physics beyond the Standard Model, including searches for axion-like particles, dark Higgs bosons, and rare tau decays. He contributes to experiments at high-energy colliders, focusing on topics like flavor physics, hadron spectroscopy, and precision measurements of branching fractions and asymmetries. Recent studies highlight investigations into singly Cabibbo-suppressed decays, tests of lepton flavor universality, and CP violation in Bs and B meson systems. His experimental techniques include advanced flavor tagging methods and analysis of semileptonic decays.
Dr. Jackie Cha serves as an Assistant Professor in the Department of Industrial Engineering within Clemson University's College of Engineering, Computing and Applied Sciences. Her research bridges human factors engineering with healthcare innovation, focusing on surgical robotics, physiological signal analysis, and wearable medical technologies to enhance clinical performance and safety. Her academic foundation includes advanced degrees from leading institutions: Ph.D. in Industrial Engineering from Purdue University M.S.E. in Biomedical Engineering from the University of Michigan B.S.E. in Biomedical Engineering from the University of Michigan Cha's research program centers on quantifying human performance in high-stakes medical environments through sensor-based metrics. She investigates nontechnical skills in surgical teams, mental workload during robotic procedures, and ergonomics of exoskeleton implementation in operating rooms. Her work integrates physiological signals, eye-tracking, and proximity sensors to develop objective assessment tools for surgical proficiency and team dynamics. Analysis of her 2023-2025 publications reveals consistent thematic focus on human-robot collaboration in surgery, with emerging trends in AI-driven workload detection (s-DResNet), neural correlates of surgical expertise, and environmental factors affecting robotic surgery outcomes. Key methodological approaches include scoping reviews of human-robot interaction metrics, mixed-methods evaluations of exoskeleton efficacy, and extended reality applications for nontechnical skills training. She leads the ECHO Lab (Engineering for Clinical and Human Outcomes) at Clemson, which develops translational solutions for healthcare human factors challenges. Her lab's work spans from fundamental physiological signal analysis to applied interventions in operating rooms and emergency medical settings.
Tae Eun Kim is an Associate Professor in Maritime Safety Management at UiT The Arctic University of Norway, working within the Department of Technology and Security. Her research, teaching, and industrial collaboration focus on maritime safety and human factors, with particular expertise in maritime safety management, accident analysis, Maritime Autonomous Surface Ships (MASS), and human factors in maritime operations. Dr. Kim's research spans four interconnected domains: maritime safety management and leadership, maritime accident and casualty analysis, Maritime Autonomous Surface Ships (MASS), and human factors in maritime operations. She has developed assessment instruments like the Safety Leadership Self-Efficacy Scale (SLSES) and conducted STAMP-based causal analyses of maritime accidents. Her work on MASS addresses safety challenges in mixed navigational environments and examines leadership competencies for autonomous shipping operations. Her human factors research explores how technological advancements impact navigators' performance, crew dynamics, and safety outcomes, including gender parity issues in the maritime industry. Dr. Kim's publication record reveals a strong focus on the intersection of maritime safety, technology, and human performance. Her recent work increasingly addresses autonomous shipping technologies, with numerous publications on AI decision transparency, learning analytics in maritime simulator training, and multi-modal data analysis for nautical skill development. She has conducted systematic reviews on simulator training approaches and scenario design, contributing significantly to methodology development in maritime education and training. Her research demonstrates a clear trajectory toward integrating emerging technologies with traditional maritime safety practices as the industry transitions toward greater automation. Dr. Kim is actively involved in several significant research projects, including the i-MASTER EU Horizon Europe Research and Innovation Project, the REFRAME project, and the SPRICE project (Multidisciplinary approach for spray icing modelling). She is a member of both the Advanced Maritime Ship Operations research group and the Maritime Safety Science (MARSCI) Research Group, demonstrating her commitment to collaborative research in maritime safety science. Dr. Kim teaches several specialized courses at UiT, including SVF-3206 Safety Management and Accident Investigation, TEK-3014 Navigation Technology, MFA-2100 Maritime Digitalization, MFA-8010 Maritime HTO (Human-Technology-Organisation) and Innovation, and MFA-2018 Maritime Administration and Leadership. Her teaching portfolio reflects the interdisciplinary nature of her expertise, bridging engineering, safety science, and organizational behavior in maritime contexts.
Overview Amir Rahmati is an Assistant Professor in the Department of Computer Science at Stony Brook University , where he directs the Ethos Security & Privacy Lab and is a member of the National Security Institute. His work focuses on securing emerging technologies like IoT, AR, and ML systems. Education PhD in Computer Science & Engineering, University of Michigan (2017) Research Focus His research addresses security threats in emerging systems, including: Cyber-Physical System vulnerabilities Adversarial ML attacks Hardware security Privacy-preserving frameworks Notable contributions include work on cryptocurrency scam detection, neural network robustness, and AR system security. Grants & Awards Supported by the Air Force Office of Scientific Research (AFOSR), Office of Naval Research (ONR), Meta, NVIDIA, and IBM. His research has been featured in MIT Technology Review , Washington Post , and Bloomberg . Advising Seeking students with expertise in hardware, software, ML, UX, or network protocols passionate about security/privacy. Apply via the graduate program and fill out his interest form. Labs & Collaborations Leads the Ethos Lab focusing on securing IoT, AR, and ML systems. Collaborates on projects like Erebus (AR access control) and Valve (serverless computing security).
Dr. Mawuli Kouami Segnon is a researcher at the Chair of Empirical Economics, School of Business and Economics, University of Münster. His work focuses on econometric modeling, financial time series analysis, and volatility forecasting across various domains including cryptocurrencies, energy markets, and macroeconomic indicators. Research interests include: Development of advanced volatility models (GARCH, multifractal, regime-switching) Applications to financial markets, energy economics, and macroeconomic policy High-frequency data analysis and mixed-frequency forecasting Count data modeling with conditional heteroscedasticity Portfolio risk management using copula and multifractal approaches Recent publications demonstrate expertise in: Geopolitical risk impacts on stock volatility Comparative analysis of realized variance measures Inflation uncertainty modeling in G7 countries Electricity price volatility in Australian markets Bitcoin market forecasting Historical economic data analysis Current projects (since 2020) involve: Innovative economic/financial time series forecasting Financial market volatility modeling Applications of multifractal structures in econometrics
Dr. John Lynch is a Professor at the University of Cincinnati in the Department of Communication, with a focus on bioethics , health communication , and the rhetoric of science and medicine . He has collaborated for over 15 years with Cincinnati Children's Hospital Medical Center on ethical issues in genomic research , particularly regarding the return of results to families and adolescents. His academic roles include being a Clinical Research Ethicist and Graduate Director in Communication. Education : Ph.D., University of Georgia (2005), Speech Communication M.A., University of Pittsburgh (2000), Rhetoric and Communication B.A., University of Dayton (1998), Communication and Philosophy Dr. Lynch’s research explores the intersection of rhetoric, ethics, and science , with a focus on genetic research , public memory , and science policy . His recent publications analyze genomic exceptionalism , space exploration rhetoric , and precision medicine ethics . His work often involves collaborations with interdisciplinary teams, including ethicists and medical professionals. Key scientific awards include the ARSTM Book Award (2020) and the NCA Health Communication Division Distinguished Book Award (2016). He has secured multiple grants from institutions like the National Human Genome Research Institute and Cincinnati Children's Hospital Medical Center. Dr. Lynch also serves on editorial boards and review panels for journals like American Journal of Bioethics and Rhetoric & Public Affairs .
Bryan A. Brown is the Kamalachari Professor of Science Education and Senior Associate Vice Provost at Stanford University’s Graduate School of Education. His work focuses on science education in urban contexts, emphasizing discourse, identity, and equity. He holds administrative roles including College Director of Freshman Sophomore College and oversees the Stanford Provostial Fellows Program. Education: BS in Biology (Hampton University, 1996), MA and PhD in Science Education (UC Santa Barbara, 1999–2002). Research Interests: Student identity, classroom discourse, urban STEM equity, college access, and culturally relevant pedagogy. Advisees: Supervises doctoral students including Kendra Sobomehin, Brandi Cannon, and Derric Heck. Dr. Brown’s recent work explores virtual reality (VR) applications for culturally relevant science education and the impact of language ideologies on cognition. He teaches courses like Curriculum and Instruction in Science and Science, Engineering and Technology Education Seminar . His research highlights how race, language, and culture shape learning opportunities, particularly for urban students. He advocates for technology-based solutions to address educational disparities and has contributed to projects like VR-based ocean acidification education and culturally responsive STEM curricula. Key Themes: Bridging cultural relevance and technology, dismantling language barriers in science, and advancing equity through pedagogical innovation.
Noella Binda Niati is Assistant Professor of Education and International Development at the University of Cambridge and Fellow of Jesus College. Her research examines youth-driven educative spaces addressing sociopolitical inequalities through Hip-Hop pedagogy and critical development frameworks in West/Central Africa. She co-leads projects including 'Coping with Failed Aspirations' and 'High Hopes and Broken Promises' exploring youth agency in Senegal. Niati's mixed-methods scholarship investigates reverse migration, epistemic disobedience, and language politics. She has worked with UNESCO's Regional Office in Senegal and holds affiliations with comparative education associations worldwide. She teaches in the MPhil Globalization and International Development pathway and undergraduate critical education studies.
Margaret Peters is Professor and Vice Chair for Graduate Studies in Political Science at UCLA. Her research examines international political economy with specialization in migration politics, particularly how trade, foreign investment, and globalization intersect with immigration policies. Her award-winning book 'Trading Barriers: Immigration and the Remaking of Globalization' analyzes how trade policy and outsourcing influence immigration restrictions. Current NSF-funded projects investigate migration waves and Venezuelan displacement in Colombia. Research employs mixed methods including surveys, experiments, archival work, and cross-national analysis. Education: PhD in Political Science, Stanford University (2011) MA in Economics, Stanford University (2008) BA in Political Science, University of Michigan (2002) Publications focus on migration policy determinants, inequality effects, pandemic xenophobia, and historical political economy. Honors include the APSA Lowi Book Award and Helen Dwight Reid Dissertation Prize. She directs research on migrant dignity perceptions using behavioral games and leads projects on authoritarian emigration controls and post-pandemic refugee integration. Teaching includes graduate seminars on international political economy and undergraduate courses on migration politics. She mentors students in research design and policy analysis.
Dr. Andrew Curtis is a Professor in the Department of Population and Quantitative Health Sciences at Case Western Reserve University's School of Medicine. He also holds a joint appointment in the Department of Anthropology, College of Arts and Sciences. His research focuses on spatial epidemiology, context-driven spatial data collection, and spatial confidentiality, with methodological expertise in geospatial data collection and analysis. He previously directed the WHO Collaborating Center for Remote Sensing and Public Health and has advised numerous public health agencies internationally. His work addresses health disparities at neighborhood scales, disaster response, and spatial syndromic surveillance. Dr. Curtis has mentored 10 PhD graduates now working in academia and public health sectors globally. Education includes a PhD in Geography from SUNY Buffalo (1995), MA in Geography from SUNY Buffalo (1991), and a BA from Portsmouth Polytechnic (1987). He has taught courses in GIS for health, medical geography, and global health. His advisory roles include collaborations with the CDC, Red Cross, and public health departments in Ohio and internationally. His research has been applied to cholera outbreaks, opioid overdose patterns, and pandemic response strategies. He co-edited a special issue on health geography and serves on the editorial board of the Annals of the Association of American Geographers. Dr. Curtis' spatial video methodologies have enabled fine-scale mapping in informal settlements, disaster zones, and conflict-affected areas. His recent work includes geospatial support for Ohio hospitals during the pandemic and energy vulnerability analysis. He emphasizes participatory research and context-enriched data collection to bridge gaps between health research and actionable policy.
Prof. Taco van der Vaart is a Professor and Department Chair at the Department of Operations, Faculty of Economics and Business, University of Groningen. His expertise lies in Supply Chain Management, Health Care Operations, and Buyer-Supplier Relationships. He holds a PhD in Business Administration (2000) and an MSc in Mathematics from the University of Groningen. Research Interests: His work focuses on supply chain sustainability, healthcare logistics, and the integration of operations management principles in complex systems. Notable contributions include studies on physician payment dynamics, emergency care coordination, and global value chain governance. Professional Roles: He has served as President of the European Operations Management Association (2019–2022), Director of Graduate Studies at the SOM Research School, and currently chairs the Department of Operations. He also contributes to ancillary roles like the Advisory Board of the Politecnico di Milano School of Management. Recent Research Trends: His recent publications emphasize healthcare operational challenges, such as patient flow management in emergencies and supplier sustainability in global supply chains. Collaborations span international institutions, reflecting his global impact in operations research.
Dr Sarah L. Bulloch is a Teaching Professor in the Department of Sociology at the University of Surrey. She holds a PhD in Sociology (Surrey), MSc in Social Research Methods (Surrey), and MA (Hons) in Social Policy & Law (Edinburgh). Her work focuses on social research methodologies, pedagogy of research methods, social trust, volunteering, and gender studies. Since 2014, she has led training courses in CAQDAS software (ATLAS.ti, MAXQDA, NVivo) for the CAQDAS Networking Project (CNP), emphasizing qualitative data analysis. She advises research teams on software applications and contributes to free online resources for students and researchers. Her research explores methodological challenges in qualitative analysis, including construct validity in trust studies and leveraging archival data (e.g., Mass Observation Archive). She has published in journals like Social Research Online and Social Indicators Research , and co-authored chapters in SAGE Handbooks on qualitative and online research methods. Her applied work includes reports on disability policy, legal provisions for cohabiting couples, and community legal services. Bulloch’s contributions bridge academia, third-sector organizations, and consultancies, promoting methodological rigor and accessibility in social research.
Andrea Collevecchio is a Professor in the School of Mathematics at Monash University, Australia, where he has been a faculty member since 2012. His research focuses on the intersection of Probability, Mathematical Physics, and Statistical Mechanics, with particular expertise in stochastic processes and theoretical modeling. He earned his PhD in Statistics from Purdue University in 2004, followed by postdoctoral positions in Italy and Germany. In 2006, he became Assistant Professor at Ca’Foscari University in Venice before joining Monash University. Collevecchio specializes in Reinforced Processes and Large Deviations, investigating complex systems through random walk models. His work bridges abstract probability theory with applications in statistical mechanics, examining phenomena like memory effects in stochastic processes and phase transitions in lattice systems. Recent research emphasizes hypercube structures, non-reversible dynamics, and reinforcement mechanisms. His 2021-2025 publications reveal a concentrated focus on hypercube random walks, with increasing exploration of non-reversible processes, vertex-reinforced dynamics, and bootstrap methods. These works consistently apply probabilistic frameworks to problems in mathematical physics, demonstrating strong connections between theoretical probability and physical modeling. Collevecchio has secured multiple research grants including ARC-funded projects on self-interacting random walks (2023-2026) and random walks with long memory (2018-2022). He contributes to interdisciplinary initiatives like the Smart Vehicles project for dementia support (2025-2027) and actively organizes academic events including the AIM Day series connecting mathematics, AI, and industry applications.
Matthew Marcus is an Assistant Professor of Practice in the Geographic Information System Technology (GIST) program at the University of Arizona. His work focuses on environmental applications of GIS, particularly in tropical ecosystems such as Amazonian palm swamps. He investigates issues like peatland degradation, deforestation, carbon emissions, and sustainable resource management through mixed-methods and remote sensing approaches. His research spans global-to-local scales, combining ecological data analysis with policy-relevant insights. Dr. Marcus's contributions include developing automated time-series mapping techniques and spatial models to quantify land use changes. His recent publications emphasize the intersection of social-ecological systems and conservation strategies in the Peruvian Amazon. He is affiliated with the ENR2 Building, collaborating on projects that bridge GIS technology with environmental monitoring and policy. While no specific grants or advising roles are listed, his academic contributions reflect a commitment to advancing applied GIS solutions for environmental challenges. His work underscores the importance of integrating technical tools with socio-environmental research to address climate change and ecosystem preservation.
Ruben Loaiza-Maya is an Associate Professor (Research) in the Department of Econometrics and Business Statistics at Monash University. He holds a PhD in Econometrics from the University of Melbourne and an undergraduate degree in Economics from Universidad Nacional de Colombia (Medellin). His research focuses on Copula Modelling, Bayesian Estimation Methods, Time Series Analysis, and Macroeconomic/Financial Forecasting. Key contributions include advancements in variational inference, state space models, and robust forecasting techniques under model misspecification. He leads the active project 'Variational Inference for Intractable and Misspecified State Space Models' (2023–2026), funded as a Primary Chief Investigator. His work contributes to UN Sustainable Development Goals through methodological advancements in economic and financial analysis. Recent research emphasizes scalable Bayesian methods, hybrid variational approaches, and efficient computational techniques for high-dimensional models. Publications span prestigious journals like the International Journal of Forecasting, Journal of Econometrics, and Journal of Business and Economic Statistics. Notable collaborations include studies on copula-based time series forecasting and robust approximate Bayesian computation. His work bridges theoretical econometrics with practical applications in risk management and macroeconomic policy.
