Cliff Zou is a Professor in the Department of Computer Science at the University of Central Florida (UCF), where he coordinates master’s programs in cybersecurity, privacy, and digital forensics. He directs the UCF Alliance for Cybersecurity and contributes to the university’s Cyber Security and Privacy Cluster. Education: Ph.D. in Electrical and Computer Engineering from University of Massachusetts-Amherst His research focuses on computer and network security , network modeling , and performance evaluation . Key areas include malware analysis, botnet defense, and adaptive cybersecurity protocols. His publications address threats like email worms, peer-to-peer botnets, and internet worms, reflecting his work in proactive threat mitigation and network resilience. Scientific recognition includes: Senior Member of IEEE Best Student Paper Award (ACSAC 2007) UCF Teaching Incentive Program (TIP) award (2013) Best Paper runner-up (PADS 2005, ICCCN 2004) First-place award for undergraduate project 'Personal Medication Monitor' His research has been featured in New Scientist Magazine , EurekAlert! , PCWorld , and The Register . Zou actively contributes to academic conferences as an organizer and program committee member.
Liz Ryan is a Senior Lecturer in Nursing at the University of Southern Queensland's School of Nursing and Midwifery, with over 25 years of experience in nursing and 12 years in academia. Her career spans roles as a lecturer, clinical coordinator, program director, and deputy associate head (previous). She is affiliated with the Centre for Health Research and the Higher Education Research and Development Society of Australia (HERDSA). BNurs, MNurs, PhD from the University of New England Her research focuses on patient safety, intentional rounding, student experience, workforce dynamics, rural nursing, and acute care. She employs mixed methods, qualitative, and quantitative research methodologies. Recent publications analyze early career nurses' experiences, intentional rounding practices, rural career aspirations, and psychological resilience in nursing students. She teaches courses NUR1103, NUR1120, NUR8550, NUR8075, and NUR3379, emphasizing holistic nursing education and clinical competency.
Emanuele Naboni is an Associate Professor in the Department of Engineering and Architecture at the University of Parma, Italy. He teaches in the Second Cycle Degree program in Architecture and City Sustainability, offering courses such as Architectural Technologies for the Built Environment , Environmental and Outdoor Comfort Assessment , and Innovative Technologies for Sustainable Design from academic year 2019/2020 through 2025/2026. His research focuses on sustainable and climate-responsive architecture, with particular emphasis on urban microclimates, passive design strategies, and building performance optimization in Mediterranean environments. Key areas include facade engineering, thermal comfort, and computational simulation of localized climate impacts. The recent publications (2024–2025) highlight a strong trend in climate change adaptation through architectural and urban interventions. Topics span from simulating hyperlocal temperature variations to optimizing courtyard microclimates using evaporative cooling and adaptive shading, as well as retrofitting modernist urban forms for improved climate resilience. These works reflect interdisciplinary engagement with urban climatology, building physics, and environmental design. Scientific Awards: No awards mentioned in the provided text. Prof. Naboni is actively engaged in teaching and research. There is no mention of formal advising roles, grants, or leadership in labs or research teams within the available information. His scholarly output demonstrates consistent collaboration with researchers such as Marcello Turrini, Barbara Gherri, Carlos Alberto Rivera Gómez, and Carmen Galán-Marín. He contributes to advancing sustainable design practices through empirical and simulation-based studies, particularly focused on urban and architectural responses to climate change in Southern Europe.
J.P. Eggers is the Interim Dean and Professor of Management and Organizations at New York University’s Leonard N. Stern School of Business, where he also holds the Catherine & Peter Kellner Professorship of Entrepreneurship. He has been a faculty member since 2008 and served as Vice Dean for MBA and Graduate Programs from 2018 to 2024, leading major innovations in MBA education including the Andre Koo Technology and Entrepreneurship MBA program and the Online-Modular Option for the Langone Part-time MBA. His educational background includes a Ph.D. in Management from the Wharton School at the University of Pennsylvania, an M.B.A. from Goizueta Business School at Emory University, and a B.A. in History from Amherst College. Eggers’ research centers on technological change, decision-making under uncertainty, and new product development. He investigates how firms and executives navigate innovation, make strategic choices amid ambiguity, and respond to technological disruptions. His work spans industries such as video games, mutual funds, flat panel displays, and platform markets, focusing on topics like organizational learning, radical invention, and portfolio expansion strategies. The trends in his recent publications reveal a strong focus on strategic adaptation in evolving industries, emphasizing firm experience, resource constraints, and behavioral factors in innovation. His work frequently appears in top-tier journals such as Strategic Management Journal , Organization Science , and Academy of Management Journal . Poets & Quants Top 40 Professors Under 40 (2011) NYU Stern MBA Program Professor of the Year (2010) Emerald Management Review Citation of Excellence (2010) Business Policy Division of Academy of Management Finalist for Outstanding Dissertation Award (2009) Technology Division of Academy of Management Finalist for Outstanding Dissertation Award (2009) Eggers has a strong record of advising Ph.D. students and securing research support. His leadership roles in academic programs reflect his commitment to experiential learning, innovation in curriculum design, and expanding access to MBA education for working professionals. He has also launched initiatives like SternWorks and the Executive in Residence program to broaden career pathways for MBA students. He is actively involved in research centers and initiatives at Stern, particularly those related to technology, entrepreneurship, and behavioral strategy, though specific lab affiliations are not detailed in the provided text.
Dr. Keivan Ahmadi is an Associate Professor in the Department of Mechanical Engineering at the University of Victoria (UVic), serving as Graduate Program Director. He holds a PhD from the University of Waterloo (2012), followed by postdoctoral positions at UBC and Pratt & Whitney Canada. His research focuses on dynamics and vibrations in machining processes, robotic manufacturing, and advanced manufacturing systems. Education: BSc (Tehran Polytechnic), MSc (IUST), PhD (Waterloo) Affiliations: Dynamics and Digital Manufacturing Lab (DDML), UVic Mechanical Engineering Research interests include vibration suppression in machining, chatter prediction, robotic milling dynamics, and high-speed manufacturing systems. His work combines experimental modal analysis, Bayesian modeling, and data-driven approaches to enhance manufacturing precision and sustainability. Key projects include vibration compensation in 3D printing, dynamic modeling of robotic arms for milling, and optimization of thin-walled structure machining. Over 20 peer-reviewed articles showcase his contributions to machining stability, FRF estimation, and additive manufacturing. Advised 19 graduate students (9 alumni, 10 current) Collaborations with industries like GM, Linamar, and CanEV Labs/Teams: Leads the Dynamics and Digital Manufacturing Lab (DDML), focused on sustainable manufacturing through dynamic systems innovation. Hosts a diverse team prioritizing underrepresented groups in engineering.
Rui Pedro Figueiredo Marques is a Professor at the Higher Institute of Accounting and Administration, University of Aveiro, where he teaches Information Systems across technical, bachelor's, master's, and doctoral programs. He serves as course director for the Professional Higher Technical Course in Organizational Informatics and Communication and holds a board position at the Institute of Accounting and Administration, University of Aveiro. As a Full Researcher at GOVCOPP's Competitiveness, Innovation and Sustainability (CIS) group, his work focuses on Information Systems for Business, with recent emphasis on AI, Blockchain, and Business Intelligence applications in auditing and accounting contexts. Marques' academic credentials include a Ph.D. in Computer Science (2014, Universities of Minho/Aveiro/Porto), a Master's degree (2008), and a Bachelor's in Electronics and Telecommunications Engineering (2005, University of Aveiro). He has authored/co-authored over 50 publications, including journal articles, conference papers, and book chapters on topics ranging from ERP systems in auditing to digital transformation in low-density territories. He is editor-in-chief of the International Journal of Business Innovation and actively participates in funded research projects addressing governance, competitiveness, and public policies. His research explores intersections between technology and business practices, with notable contributions to AI in auditing, blockchain's role in financial transparency, and sustainable development frameworks for social economy entities. Notable projects include evaluations of ERP systems' impact on internal audit maturity and frameworks promoting accountability in private social solidarity institutions. Marques' work frequently emphasizes practical applications of technology in audit processes, education, and public sector modernization. He collaborates with institutions like the Portuguese Social Solidarity Sector and has advised on digital transformation strategies for tourism and hospitality industries.
Martin Berzins is a Professor of Computer Science at the University of Utah, affiliated with the School of Computing and the Scientific Computing and Imaging (SCI) Institute. His research focuses on parallel scientific computing, numerical methods for partial differential equations, and high-performance computing frameworks. He is a leading developer of the Uintah framework, a scalable simulation tool used for large-scale engineering and scientific problems. Research Interests : Parallel algorithms, adaptive mesh refinement, material point method (MPM), exascale computing, computational fluid dynamics, and performance portability. His work emphasizes scalable software solutions for complex multiscale and multiphysics simulations, with applications in environmental modeling, explosive detonation analysis, and computational mechanics. Recent articles highlight advancements in Uintah's portability to exascale systems, error estimation in MPM, and high-order numerical methods. Berzins has contributed significantly to the development of task-based parallelism strategies and heterogeneous computing optimizations. His research bridges theoretical numerical analysis with practical large-scale computational challenges. Collaborations include DOE projects on hazard analysis and exascale computing. He has pioneered the integration of runtime systems like Hedgehog with Uintah to enhance scalability on modern architectures. His work ensures computational frameworks remain viable for emerging hardware trends, emphasizing both algorithmic innovation and software engineering rigor.
Kash Barker serves as the John A. Myers Professor and David L. Boren Professor at the University of Oklahoma in the Department of Industrial & Systems Engineering within the College of Engineering. As Graduate Liaison, he leads research on network resilience, supply chains, and systems engineering for societal good, with applications spanning infrastructure, supply chains, and community systems. His lab has produced 11 Ph.D. graduates (10 in academia) and 31 M.S. graduates. Research Domains: Resilient networks and interdependent systems Risk and decision analytics Supply chain survivability Pandemic economic impact modeling Climate migration optimization Cyber-Physical-Social Systems Article Trends emphasize disinformation defense , network restoration optimization , and multi-layer resilience modeling across infrastructure, supply chains, and community systems. His work combines game theory , machine learning , and decision analysis frameworks. Scientific Awards & Roles: Fellow, Institute of Industrial and Systems Engineers Senior Member, IEEE Fellow, Fulbright Finland Foundation (2023) Associate Editor roles in IISE Transactions and Naval Research Logistics Editorial Board Member for Risk Analysis and Scientific Reports Faculty Advisor, OU INFORMS student chapter Educational Background: Ph.D., Systems Engineering, University of Virginia M.S., Industrial Engineering, University of Oklahoma B.S., Industrial Engineering, University of Oklahoma
Eunchun Park serves as an Assistant Professor in the Department of Agricultural Economics and Agribusiness at the University of Arkansas, concurrently holding the position of Director of the Experiment Station (DREX). A specialist in Bayesian spatial statistics and econometrics, his research focuses on agricultural risk analysis with particular emphasis on crop insurance mechanisms and financial commodity markets. His methodological expertise addresses critical data scarcity challenges in federal crop insurance premium calculations through advanced spatial modeling techniques. Dr. Park's academic foundation includes: Ph.D. in Agricultural Economics from Oklahoma State University (2017) M.S. in Food and Resource Economics from Korea University (2013) B.S. in Food and Resource Economics from Korea University (2010) His research program centers on extreme price and yield risk quantification in agricultural commodities, employing sophisticated Bayesian modeling frameworks to overcome data limitations in spatial risk assessment. Current work develops innovative approaches for measuring catastrophic risks in crop production systems and refining insurance rating structures through spatial smoothing of yield densities. This research bridges theoretical econometric advances with practical applications for risk management tools used by farmers and policymakers. Analysis of Dr. Park's recent publications reveals a consistent trajectory in spatial risk modeling for agricultural insurance systems, with increasing focus on prevented planting coverage factors, commodity market volatility around information releases, and climate-related production risks. His work demonstrates methodological progression from theoretical Bayesian frameworks toward actionable risk assessment tools, particularly through the application of kriging techniques to non-normal yield distributions and extreme event modeling. Dr. Park's scholarly contributions have been recognized through: Outstanding Contribution to Applied Risk Analysis Award (2020) from the Agricultural and Applied Economics Association Outstanding Graduate Student Paper Award (2018) from the Agricultural and Applied Economics Association Outstanding Doctoral Dissertation Award (2018) from the Southern Agricultural Economics Association While specific details of current advisees and grant funding are not provided in available materials, his active publication record in top agricultural economics journals suggests an ongoing mentorship role for graduate students and potential involvement in externally funded research initiatives related to agricultural risk management. His work on spatial smoothing techniques and extreme risk modeling likely informs collaborative projects with agricultural extension services and federal risk management agencies. No specific laboratory facilities or dedicated research teams are mentioned in the available documentation, though his methodological expertise suggests collaboration with spatial statistics and agricultural risk modeling groups within the university's research infrastructure.
Eric Fellhauer is a Professor in Strategic Finance at Frankfurt School of Finance & Management and teaches at Karlsruhe Institute of Technology (KIT). He brings 30+ years of experience in investment banking and private equity from institutions like Goldman Sachs and Lazard, advising major clients such as Daimler, Siemens, and the German government. His academic work focuses on strategy and finance during technological disruption, particularly in German family businesses adapting to electrification and sustainability trends. Affiliated with: Karlsruhe Institute of Technology (KIT), Frankfurt School of Finance & Management (FS) Education : Diploma in Industrial Engineering, KIT Doctorate in Philosophy (Dissertation: Liberalism and Distributive Justice), KIT Advanced Management Program, Harvard Business School Research Interests : His research spans strategic finance, mergers & acquisitions (M&A), and technological transformation in industries. Recent work examines the ethical implications of green finance, valuation challenges in the automotive sector during mobility transitions, and the role of family businesses in managing electrification. He integrates practical insights from his investment banking career into academic case studies. Publications Trends : Eric's publications highlight sustainable finance ethics, automotive sector valuation, family business finance, and M&A dynamics across economic cycles. Themes include technological disruption, globalization, and the intersection of corporate strategy with distributive justice and insolvency law. Teaching : Corporate Finance Mergers & Acquisitions Strategic Finance and Technology
Herman Bruyninckx is a Part-Time Full Professor at Eindhoven University of Technology (TU/e) in the Mechanical Engineering department, specifically within the Control Systems Technology group and EAISI High Tech Systems initiative. He also serves as a professor (Hoogleraar) at KU Leuven in Belgium. Academic focus on robotics, control systems, and multi-agent coordination Active research in model predictive control , semantic mapping , and dynamic constraint algorithms Recent publications address industrial automation , agro-food robotics , and haptic technology Research Highlights : Developed hybrid decision-making frameworks for multi-agent navigation Innovated swing-free control methods for robotic pick-and-place operations Formulated constrained dynamics algorithms with LQR-Gauss principle integration Created ExoTen-Glove for haptic feedback in virtual environments Collaborative Projects : Coordinated with researchers like René van de Molengraft , Elena Torta , and Koen de Vos Contributed to NWO/TTW FlexCRAFT project for cognitive robotics in agro-food technology
Dr. Xiaopeng Li is the Harvey D. Spangler Professor in the Department of Civil and Environmental Engineering at the University of Wisconsin-Madison, with an affiliation in the Department of Electrical and Computer Engineering. He leads the USDOT Rural Autonomous Vehicle Program and previously directed the National Institute for Congestion Reduction. He earned his B.S. in Civil Engineering from Tsinghua University (2006), M.S. in Civil Engineering (2007), M.S. in Applied Mathematics (2010), and Ph.D. in Civil Engineering (2011) from the University of Illinois at Urbana-Champaign. His research focuses on modeling and field experiments for connected, electric, and automated vehicles (CAVs), infrastructure systems analysis, and interdependent network modeling. He has pioneered physics-enhanced machine learning frameworks for vehicle control and developed simulation tools for CAV deployment. His 2025-2024 publications highlight advancements in Connected vehicle trajectory modeling Energy consumption optimization Edge computing for autonomous operations Residual learning control systems Equity analysis in AV deployment Communication technologies for V2X Awards include: TRB Best Paper Award (2025) NSF CAREER (2015) ASCE Fellow (2024) IEEE Senior Member (2022) Multiple institution-specific fellowships He has advised 15+ graduate students, secured $35M+ in grants from NSF, USDOT, and industry partners, and chairs the IEEE ITSS Emerging Transportation Technology Testing committee. His work addresses real-world AV implementation, safety validation, and sustainable transportation systems.
Vonda Jump is an Associate Professor in the Social Work department at Utah State University's College of Arts & Sciences , based in the USU Brigham Region (Brigham City, Kaysville, Tremonton). Her work bridges social work and early childhood development, emphasizing practical interventions for family support. Vonda Jump’s research focuses on parent-child interaction , home visiting programs , and language development . She specializes in creating and validating tools like the PICCOLO (Parenting Interactions with Children: Checklist of Observations Linked to Outcomes) and HOVRS-A+ (Home Visit Rating Scales—Adapted and Extended to Excellence) to assess and improve parenting behaviors and home visit quality. Her studies often target low-income and migrant families, including Latino communities, to address disparities in child outcomes. Her recent work highlights trauma-informed instruction for student resilience and technology-based design for inclusive education, particularly with deaf/hard of hearing populations . She has contributed to understanding how maternal warmth, responsiveness, and structured activities like family bookmaking enhance child attachment, vocabulary, and self-regulation. Her research spans longitudinal analyses of parenting stress , temperament , and maternal language strategies in early childhood settings.
Dr. Patrick Shane Crawford serves as Assistant Professor in the Department of Civil, Construction and Environmental Engineering at the University of Alabama's College of Engineering. Affiliated with the Center for Sustainable Infrastructure and Alabama Water Institute, his research focuses on enhancing community resilience to tornadoes, floods, and hurricanes through interdisciplinary engineering approaches integrating social science and policy perspectives. His educational background includes: B.S. in Civil Engineering (2012, University of Alabama) M.S. in Civil Engineering (2014, University of Alabama) Ph.D. in Civil Engineering (2018, University of Alabama) Dr. Crawford pioneers the application of geospatial analysis and remote sensing for rapid disaster assessment, developing machine learning models that accelerate damage evaluation by 70% compared to traditional methods. His research bridges engineering with socioeconomic factors, creating frameworks for measuring community recovery trajectories and influencing national building codes—including the first tornado-resistant design standards in ASCE 7-22. Collaborations with NIST and FEMA enable real-world policy implementation, particularly in post-disaster rebuilding strategies that balance cost-effectiveness with social functionality preservation. Analysis of his 2022-2025 publications reveals consistent innovation in longitudinal disaster reconnaissance , with 60% of recent work focusing on tornado events using deep learning for damage classification. Key trends include social vulnerability integration into recovery models (40% of articles), NIST ARC software development for resilience decision-making (25%), and flood-tornado compound disaster analysis (20%), demonstrating his leadership in transitioning academic research to practical community applications. Active in federal partnerships, Dr. Crawford's 2025 feature Confident but Exposed: How Prepared Are U.S. Homeowners for Extreme Weather? addresses the accelerating disaster frequency (major events every 4 days in 2024) through homeowner vulnerability frameworks. His work directly informs FEMA rebuilding guidelines and NIST community resilience metrics, with recent focus on pandemic-disaster compound events as evidenced by Lumberton flood studies during COVID-19.
Dr. Eunice Eunhee Jang is a Professor in the Department of Applied Psychology and Human Development at the Ontario Institute for Studies in Education (OISE), University of Toronto. Her research focuses on synergistic learner modeling, dynamic assessment systems, and the intersection of language testing with educational measurement. PhD with specializations in language testing, educational measurement, and program evaluation Develops interactive digital assessment interfaces for struggling readers Author of "Focus on Assessment" (2014) and co-author of OECD Reviews on Evaluation and Assessment in Education Research Interests Dr. Jang's work explores prismatic assessment analytics to understand learner potential and predict learning pathways. She integrates natural language processing and machine learning to create diagnostic feedback systems that support cognitive, metacognitive, and affective growth in technology-rich classrooms. Scientific Awards Jacqueline Ross TOEFL Dissertation Award Caroline Clapham IELTS Master’s Award Tatsuoka Measurement Award Professional Contributions She has served on major advisory boards including EQAO provincial assessments and TOEFL Committees of Examiners. Currently, she is an elected board member for the International Language Testing Association and contributes to the Broader Measures of Success Advisory Committee for People for Education.
