Xin Li is an Assistant Professor of Finance at the College of Business, Michigan Technological University. His research focuses on Empirical Asset Pricing, Bond Pricing, Institutional Investments, Fintech, and Market Microstructure. He teaches courses in Asset Pricing, Corporate Finance, Investment, Fixed Income, and Risk Management. His research emphasizes innovative methodologies in financial markets, including the application of dual recognition systems in biosensors and data-driven frameworks for sensor optimization. Recent work explores convolutional neural networks for early-stage gas identification and multi-sensor systems for chemical analysis. Xin Li’s publications span analytical chemistry, sensor technology, and materials science, with notable contributions to electrochemical sensors, nanomaterials, and high-temperature gas detection. His work bridges finance and engineering through interdisciplinary research on Fintech and sensor innovation.
Enzo D'Innocenzo is a Junior Assistant Professor in Econometrics, Statistics, and Data Science at the Department of Economics, University of Bologna. His primary research focuses on advanced econometric methodologies, including time series analysis, statistical inference, asymptotic theory, score-driven models, and financial econometrics with applications to option pricing. Previously, he served as an Associate Researcher at the School of Business and Economics, Vrije Universiteit Amsterdam. Research Interests: Time Series Econometrics Volatility Modeling (GARCH, Score-Driven) Financial Markets Analysis Option Pricing Theories Extreme Value Theory Dynamic Pricing Strategies Notable Publications: His recent work includes advancements in score-driven models for spatio-temporal data (JASA 2023), dynamic partial correlation networks in financial markets (Journal of Econometrics 2024), and analysis of last-minute hotel pricing strategies (2024). His research bridges theoretical econometric innovation with practical applications in finance and hospitality sectors. Professional Activities: Presenter at NESG Conference 2022 (University of Groningen) Active contributor to econometric journals and conferences Maintains personal academic webpage with research links
Dr. Rachel Xi Zhang is an Assistant Professor of Accounting at the National University of Singapore (NUS Business School). She holds a Ph.D. and B.S. from the Wharton School, University of Pennsylvania, and previously worked as an investment banking analyst at Goldman Sachs. Her research focuses on corporate stakeholder information dynamics, institutional investors, governance, financial disclosure, and capital markets. She teaches ACC3705 Valuation and actively publishes on topics such as climate risk hedging, regulatory impacts, and greenwashing. Her work bridges theoretical frameworks with practical corporate finance challenges. Education Ph.D. in Accounting, Wharton School, University of Pennsylvania (2021) B.S. in Economics, Wharton School, University of Pennsylvania Research Interests Dr. Zhang examines how information flows among shareholders, managers, boards, and capital providers. Key themes include institutional investor behavior, governance incentives, climate-related financial disclosures, and market responses to regulatory changes. Her work often addresses real-world implications of transparency and accountability in financial systems. Teaching She instructs ACC3705 Valuation, focusing on valuation methodologies and financial decision-making in dynamic markets. Recent Research Trends Her publications emphasize climate risk mitigation strategies, regulatory inaction costs, and greenwashing detection through earnings call analysis. She explores how real-time market data and disclosure practices influence corporate behavior and investor decisions. Labs/Teams Affiliated with NUS Business School research initiatives on corporate governance and sustainable finance.
Dr. Sanjukta Chakraborty is an Assistant Professor in the School of Medicine at Texas A&M University, specializing in Medical Physiology. She holds a PhD from the Indian Institute of Science and has conducted postdoctoral research at Texas A&M Health Science Center. Her research focuses on inflammation-driven lymphatic pathologies, tumor-lymphatic interactions in cancer metastasis, and microbiome impacts on metabolic disorders. Key interests include liver cancer progression, lymphatic vessel dysfunction in inflammation, and neurotrophic factor regulation of metastasis. Education: BS (University of Calcutta), MS (Banaras Hindu University), PhD (Indian Institute of Science), Postdoctoral Fellowship (Texas A&M Health Science Center). Research Interests: Her lab investigates lymphatic contributions to cancer metastasis (e.g., cholangiocarcinoma and hepatocellular carcinoma), microbiota dysbiosis effects on lymphatic function, and neuroimmune interactions in tumor progression. Collaborations span chemical engineering and microbial pathogenesis at Texas A&M. Awards: Recognitions include the Outstanding Young Investigator Award (Microcirculatory Society), Excellence in Lymphatic Research Award, and Best PhD Thesis Award from the Indian Institute of Science. Advising & Grants: Supervises students like Niyanshi Gaddam and Cole Gowan. Active in CPRIT-funded projects on lymph node metastasis and AHA-funded microbiome studies. Develops bioengineered models and combinatorial therapies targeting tumor-lymphatic crosstalk. Labs/Teams: Dr. Chakraborty leads a multidisciplinary team exploring lymphatic biology, with lab locations in Bryan, TX. Research spans lab-based models, preclinical studies, and translational approaches for clinical intervention.
Aleksandr PILGUN is a Postdoctoral researcher at the University of Luxembourg's Interdisciplinary Centre for Security, Reliability and Trust (SnT), specifically within the TruX department. His research focuses on mobile application security, software testing methodologies, and reverse engineering of Android applications. He has developed tools like ACVTool and ACVCut for code coverage measurement and instrumentation. His work spans from foundational research in mathematical modeling of point distributions (2016) to cryptographic systems on embedded devices (2013), demonstrating interdisciplinary expertise. His recent publications (2020-2024) emphasize Android app security, including black-box testing, instruction-level coverage analysis, and cryptocurrency miner detection. Key outputs include tools for automated testing frameworks and vulnerability detection in third-party Android applications. Awards and grants are not explicitly listed in the provided texts. His research often intersects with practical tool development, as evidenced by GitHub repositories and open-source contributions.
Camelia Kuhnen is the Boyd White Harris Jr. Distinguished Professor of Finance and Research Director at the Kenan Institute of Private Enterprise at the University of North Carolina's Kenan-Flagler Business School. She holds editorial roles at Management Science and the Journal of Finance , and previously served as President of the Society for Neuroeconomics and the Society for Experimental Finance. A faculty affiliate at the National Bureau of Economic Research (NBER), her interdisciplinary research focuses on household finance, labor economics, and neuroeconomics, exploring how individuals and firms make financial decisions. Dr. Kuhnen earned her PhD in Finance from Stanford University and dual bachelor’s degrees in Neuroscience and Finance from MIT. Her work bridges finance with cognitive and neural sciences, examining topics like risk-taking behavior, socioeconomic disparities, and the psychological underpinnings of economic choices. She has contributed to understanding how dopamine influences investment decisions, the role of self-efficacy in financial delinquency, and the impact of prior choices on portfolio allocations. Her recent research explores wealth and insurance choices, diversity in finance, and the societal implications of financial decisions. She has advised on policy-relevant issues such as economic uncertainty and financial literacy. Dr. Kuhnen’s academic leadership includes roles at the American Finance Association and editorial contributions to top-tier journals, solidifying her influence in both theoretical and applied finance.
Prof Jose M Alcaraz Calero is a Full Professor in Next-Generation Cyber Security at Aston University's School of Computer Science and Digital Technologies. He holds positions within the Department of Software Engineering and Cybersecurity under the College of Engineering and Physical Sciences. His academic credentials include a PhD and MEng, alongside SMIEEE and FHEA honors. His research focuses on 5G networks, IoT security, AI-driven systems, and automated driving technologies. Notable areas of exploration include network slicing, cybersecurity for connected systems, and AI applications in healthcare and environmental monitoring. He collaborates internationally on projects involving smart sensor networks and edge computing solutions. Recent work demonstrates innovations in AI-based odour detection systems using 5G IoT frameworks, stock price prediction via speech models, and autonomous vehicle reference architectures. His research outputs emphasize practical implementations of emerging technologies in real-world scenarios. Prof Alcaraz Calero has contributed 202+ peer-reviewed publications across journals and conferences. His work bridges theoretical advancements with industrial applications, particularly in cybersecurity, telecommunications, and smart systems deployment.
Abolfazl Saghafi is an Associate Professor in the Department of Mathematics at the University of South Florida, within the College of Arts and Sciences. He holds dual PhDs in Applied Mathematics from Iran University of Science and Technology and in Statistics from the University of South Florida. Education: PhD in Statistics, University of South Florida PhD in Applied Mathematics, Iran University of Science & Technology M.Sc. in Mathematical Statistics, Shahid Beheshti University B.Sc. in Statistics, Azad University His research interests are centered on machine learning, time series classification, BIG data analytics, parametric/non-parametric/Bayesian analysis, and extreme value probability distributions . His work bridges theoretical mathematics with practical applications, particularly in signal processing and data science. In 2011, he resolved a long-standing open problem on Poisson distributions of order k by providing a closed-form solution, marking a significant contribution to applied probability. His recent publications focus on innovative applications of statistical and machine learning methods to real-world problems, particularly in object detection using ground-penetrating radar (GPR) data and improved parameter estimation in financial modeling. These works reflect a strong trend toward interdisciplinary research combining statistics, signal processing, and artificial intelligence. Dr. Saghafi has collaborated with researchers such as S. Jazayeri, S. Esmaeili, and C.P. Tsokos, and holds a U.S. patent for buried object detection systems. His work has been published in journals such as Structural Control and Health Monitoring , Expert Systems with Applications , and Journal of Finance and Data Science . Scientific Awards: He advises students in statistics and applied mathematics, though specific names are not listed. He is affiliated with research teams working on data-driven modeling and signal analysis. His future work is likely to extend into deep learning applications for time series and robust statistical modeling under uncertainty.
Professor David Pickernell is a faculty member at the Swansea University School of Management, specializing in Small Business and Enterprise Development Policy. He is affiliated with the Regional Studies Association, the Institute for Small Business and Entrepreneurship, and is a fellow of the Higher Education Academy. Contributions to policy research for entities like the Federation of Small Businesses, OECD, Welsh Assembly Government, and local councils 2018 study on women-owned businesses in the UK with widespread media coverage Over 100 refereed journal articles focusing on SMEs, entrepreneurship policy, and economic development Supervised doctoral research on topics such as entrepreneurial universities, resource curse theory, and university-business interactions His research explores the intersection of entrepreneurship, innovation, and regional development, often employing configurational methodologies like fsQCA. He actively contributes to academic discourse through collaborative workshops and SIGs focused on minority entrepreneurship and social change.
Patrick Bahr is an Associate Professor at the IT University of Copenhagen and Co-Head of Education for the Master of Software Design program. His research focuses on developing programming languages and tools to ensure high-assurance software through formal methods. Education : PhD in Computer Science (2012), University of Copenhagen; MSc in Computational Logic (2009), Dresden & Vienna University of Technology; BSc in Computer Science (2008), Dresden University of Technology Patrick's research spans Type Systems , Compilers , and Functional Reactive Programming (FRP) , emphasizing Modal Types to ensure causality and productivity. His work includes Formal Verification of compiler correctness and Domain-specific Languages for enterprise and financial contracts. Recent publications highlight trends in Graph-Based Compilers , Asynchronous FRP , and Guarded Recursion . His methodologies often integrate Haskell and Agda for verified implementations. Key contributions include Sound-By-Construction Type Systems and Monadic Compiler Calculation . Scientific Awards : Best Contribution to RTA 2010 DIKU Paper of the Year 2012 He actively contributes to program committees (e.g., TFP 2026, ICFP 2024) and has led research projects like Guarded Recursive Types funded by the Danish Independent Research Fund (2015-2019). Collaborations span institutions such as the University of Nottingham and Utrecht University.
Carol Dalglish is a prolific Australian scholar whose work spans entrepreneurship, leadership, and international business education. Based at Queensland University of Technology, she has authored numerous books and refereed articles addressing micro-enterprise development, bottom-of-the-pyramid entrepreneurship, and leadership in multicultural contexts. Her research repeatedly partners with NGOs and co-authors such as Marcello Tonelli and Judy Matthews to investigate sustainable support models for entrepreneurs across sub-Saharan Africa and Southeast Asia. Education & Career: Long-standing academic appointment at Queensland University of Technology Leadership roles in major entrepreneurship and management conferences Repeated visiting and adjunct affiliations with African and European institutions for field research Research Focus: Dalglish investigates how entrepreneurial ecosystems can be engineered to lift people out of desperate poverty. Her studies critique micro-credit as a solitary intervention and demonstrate that transport infrastructure, training, mentoring, and culturally attuned leadership development are equally critical. A second stream explores leadership perception, development, and pedagogy in multicultural classrooms, producing practical guides for students and executives operating in global environments. Publication Trends: Across 56 recorded outputs (1980-2017), her scholarship shifted from early refugee literacy and offender education to rigorous entrepreneurship fieldwork in Mozambique, Ghana, and Tanzania. Co-authored pieces dominate, reflecting team-based ethnography and intervention studies. Journals range from Journal of Asia Entrepreneurship and Sustainability to Philosophy of Management , signalling interdisciplinary reach. Books & Awards: Entrepreneurship at the Bottom of the Pyramid (Routledge, 2017) Leadership: Understanding its Global Impact (Tilde, 2010) Learning in the Global Classroom (Edward Elgar, 2011) Multiple best-paper nominations at AGSE, ANZAM, and Academy of Management Africa conferences Grants & Advising: Chief investigator on Australian Research Council and AusAid linkage grants delivering entrepreneurship training to over 3,000 micro-entrepreneurs in Mozambique. Supervised 15 PhD candidates examining microfinance, social entrepreneurship, and leadership identity; alumni now hold faculty positions in Australia, South Africa, and Thailand. Labs & Teams: Founding member of QUT’s Centre for Social Entrepreneurship and Impact ; leads the Africa Entrepreneurship Research Collective , a cross-institutional network conducting longitudinal field experiments in Ghana, Tanzania, and Uganda.
Peter A. Gloor is a Research Scientist at the Center for Collective Intelligence at MIT's Sloan School of Management, where he leads research on Collaborative Innovation Networks (COIN). He also serves as Founder and Chief Creative Officer of galaxyadvisors, applying academic insights to practical business applications. Additionally, he holds Honorary Professor positions at University of Cologne and Jilin University in China, and has taught at numerous institutions worldwide including University of Bamberg, Universidad Cattolica, Aalto University, and University of Rome Tor Vergata. His educational background includes a Ph.D. in Computer Science and a Master's degree in Mathematics, both from the University of Zurich. Earlier in his career, he was a postdoctoral fellow at the MIT Lab for Computer Science, working on hypertext before the Web emerged. Gloor's research focuses on Collaborative Innovation Networks, swarm creativity, and sociometrics. His work examines how communication patterns, network structures, and social dynamics influence creativity, innovation, and organizational performance. He has developed Condor software for dynamic social network analysis and created the Happimeter for measuring human emotions through smartwatch sensors. His research spans multiple domains including business, healthcare, education, and online communities like Wikipedia. His publications reveal a consistent focus on how social networks drive innovation across diverse contexts. His work examines everything from Wikipedia editing patterns to clinical care teams, from jazz musicians to startup entrepreneurs. A recurring theme is identifying 'honest signals' of innovation through network analysis, and understanding how collective intelligence emerges from decentralized networks. His research increasingly integrates AI and machine learning to analyze emotional states and predict organizational outcomes. Gloor has written nine books, including 'Swarm Leadership and the Collective Mind' (2017), 'Sociometrics and Human Relationships' (2017), 'Coolfarming' (2010), 'Coolhunting' (2007), and 'Swarm Creativity' (2005). He has organized numerous international conferences on Collaborative Innovation Networks (COINs) around the world, from Tokyo to Warsaw. Through his COIN research projects, Gloor examines how to build organizations that are more creative, productive, and efficient by applying principles of creative collaboration and social networking. His Happimeter project measures human emotions through smartwatch sensors with over 90% accuracy. The Wikimaps project maps global knowledge across different cultures through Wikipedia analysis. His work bridges academic research with practical applications through galaxyadvisors, where he helps clients analyze social networking patterns for coolhunting and coolfarming.
Vygintas Gontis is a Research Professor at Vilnius University's Faculty of Physics, working at the Experimental nuclear and particle physics center. His research spans statistical physics, dynamically chaotic systems, econophysics, and agent-based stochastic modeling with significant contributions to financial market analysis. Professor Gontis has developed influential theoretical frameworks applying physics principles to financial phenomena, creating stochastic models that explain volatility patterns, return intervals, and long-range memory effects in markets. His interdisciplinary work bridges statistical physics and economic theory, revealing universal patterns in complex market behaviors. Stochastic modeling of financial markets Long-range memory phenomena Agent-based computational finance 1/f noise analysis Complex systems dynamics Econophysics applications His publication record shows consistent scholarly output from 1987 through 2016, with recent work focusing on financial applications while maintaining connections to fundamental physics concepts. The research demonstrates evolution from quantum physics topics toward interdisciplinary financial modeling. Professor Gontis has supervised doctoral student Aleksejus Kononovičius (2011-2015) and postdoctoral researcher Rytis Kazakevičius (2020-2022). He leads the Group of Complex Physical and Social Systems and has held significant international roles including national representative for COST projects on Physics of Risk (2003-2008) and Physics of Competition and Conflicts (2008-2012).
Ahmet ŞANSLI is a Lecturer at Sakarya University's Faculty of Computer and Information Sciences, Department of Computer Engineering. His academic journey includes a Bachelor's in Computer Engineering (2005), Master's in Computer and Information Engineering (2007), and Doctorate from the same institute (2020). He served as Deputy Director of the Computer Research and Application Center from 2018-2023. Research Expertise: Specializes in information security, cryptology, computer software engineering, and distributed systems. Key technical domains include web programming, cloud computing (BSM 470), mobile application development (BSM 447), and graduation project supervision. Publication Focus: Research spans cybersecurity applications (smart grids, DRM systems), network simulation tools, digital literacy studies, and biometric security. Recent works emphasize large-scale network analysis and critical infrastructure protection. Administrative & Projects: Deputy Director: Computer Research Center (2018-2023) Board Member: Distance Education Center (2022) Research projects: Real-time Ethernet protocol optimization (2010-2011)
Dr. Norman Weiss serves as a Researcher within the Faculty of Mathematics, Natural Sciences, Economics & Computer Science at the University of Hildesheim, where he holds a key administrative position in the Dean's Office 4. His responsibilities include managing doctoral procedures, habilitation procedures, process management, regulations, budget and financial controlling, accreditations, department website, and dean's IT infrastructure. Dr. Weiss has established significant expertise in robotics and computer vision, with a specialized focus on robot soccer applications. His research spans mobile robotics systems, adaptive vision technologies, and autonomous decision-making frameworks. His work demonstrates technical excellence in image processing under varying lighting conditions, real-time object tracking, and multi-agent coordination systems for competitive robotic environments. His publication record reveals consistent contributions to the field since the early 2000s, with notable works including his 2011 book on lighting-tolerant adaptive supervision systems and numerous conference and journal publications analyzing color systems, vision challenges, and architectural approaches for robot soccer. His research trajectory shows an evolution from foundational position recognition systems to more sophisticated adaptive supervision frameworks. Dr. Weiss has made substantial organizational contributions to the academic community, serving as Program Chair for the 5th International Conference on Computational Intelligence, Robotics and Autonomous Systems (CIRAS 2008) and as Program Chair and Co-Organizer for the FIRA RoboWorld Congress 2006. He has also contributed as Program Committee Member, Publicity Chair for the International Conference on Entertainment Robotics (ICER), and Journal Guest Editor for the Robotics and Autonomous Systems special issue on CIRAS 2008.
