جست‌وجوی استاد و پژوهشگر

Wendy Ballietمشاهده پروفایل

استادیار

• Behavioral Medicine
• Transplantation
• Living Donation
• +۵ مورد دیگر

Wendy Balliet is an Assistant Professor at the Medical University of South Carolina (MUSC), affiliated with the College of Medicine and the Department of Psychiatry and Behavioral Sciences. She earned her PhD in counseling psychology with a health psychology concentration from Virginia Commonwealth University, completed a pre-doctoral internship at the University of Florida Health Science Center (Medical Psychology rotation), and a postdoctoral fellowship in behavioral medicine at MUSC. Key Roles: Associate Co-Director of Clinical Operations for the Division of Bio-behavioral Medicine Supervisor for interns in the Behavioral Medicine Clinic (Charleston Consortium Psychology Internship Program) Researcher and clinical provider in psycho-oncology and transplant behavioral health Her research focuses on behavioral medicine , psycho-oncology , and transplant/living donation psychology. She investigates body image distress in cancer survivors , mental health in transplant populations , and telemedicine-based cognitive behavioral therapy (CBT) . Her work includes the BRIGHT trial for tele-CBT in head and neck cancer survivors and studies on caregiver burden, peer mentoring programs (TRIO), and psychosocial factors in organ transplantation. Her clinical efforts span patient care, committee service (Grand Rounds, hospital-wide initiatives), and training for postdoctoral fellows and medical students. She emphasizes integrating psychosocial interventions with medical outcomes , particularly in cancer and transplant settings, and has developed educational resources like the Organ Transplant Caregiver Toolkit.

Minjie Gaoمشاهده پروفایل

مدرس

• Technology-mediated organizational change
• Managerial incompetence
• Leadership
• +۳ مورد دیگر

Dr. Minjie Gao is a Lecturer (Assistant Professor) in Public Services and Technology at King’s Business School, King’s College London. She holds a PhD from Bayes Business School and previously served as a Research Associate at Imperial College Business School’s Centre for Responsible Leadership. Her work focuses on technology-mediated organizational change, managerial incompetence, and leadership in healthcare, finance, and professional service sectors. She teaches across undergraduate, postgraduate, MBA, and executive education programs, and runs qualitative research workshops for financial institutions. Education: PhD, Bayes Business School Research Interests: Technology’s role in organizational transformation Dimensions of managerial incompetence Leadership in healthcare and financial institutions Qualitative research methodologies Classical organizational theory applications Awards: Recipient of the Best Organization Development and Change (ODC) Division Paper Based on a Dissertation award for her work on non-managerial professionals’ role in emotion management during hospital restructuring. Teaching & Mentoring: Engages in cross-level instruction and qualitative research training. Currently not accepting PhD students.

Aleksandra Jordanoskaمشاهده پروفایل

مدرس ارشد

• Financial Regulation
• Corporate Crime
• Financial Technology (FinTech)
• +۴ مورد دیگر

Dr. Aleksandra Jordanoska is a Senior Lecturer at King's College London's Dickson Poon School of Law, specializing in corporate law and financial regulation. She holds a PhD from Queen Mary University of London (funded by a Queen Mary Research Studentship) and an MPhil in Criminology from the University of Cambridge. Her research focuses on financial markets governance, FinTech regulation, and white-collar crime, with recent grants from the British Academy and Leverhulme Trust. She has held visiting roles at institutions like UC Berkeley and ANU. Teaching includes undergraduate Company Law and postgraduate courses on FinTech policy and financial crime regulation. Key research projects include the 'Global White-Collar Crime Survey' and studies on NFT regulatory risks. She co-chairs the Law and Society Association's Regulatory Governance Network and collaborates internationally on compliance and crime prevention initiatives. Her work employs interdisciplinary methods, including interviews with industry stakeholders and observational studies of legal proceedings. She is actively involved in funding initiatives through organizations like the ESRC and King's College London.

Francesco Rosatiمشاهده پروفایل

دانشیار

• Sustainable Entrepreneurship
• Business Model Innovation for Sustainability
• Corporate Sustainability Management
• +۳ مورد دیگر

Francesco Rosati is an Associate Professor at the Department of Management Engineering, Technical University of Denmark (DTU), affiliated with the Centre for Technology Entrepreneurship. His work focuses on the intersection of entrepreneurship, innovation, and sustainable development, particularly addressing the UN Sustainable Development Goals (SDGs). He holds academic qualifications in management and engineering and has mentored numerous Danish and international startups. Rosati has been recognized with the Tietgen Award 2020 for early-career contributions to business-oriented social sciences. Research interests include corporate sustainability management, business model innovation for sustainability, and organizational silos analysis. His work spans multiple sectors, including healthcare and construction industries. Rosati teaches courses on strategy, entrepreneurship, and sustainability at both Master’s and executive education levels, and actively participates in global conferences. Key projects include accelerating SDG-aligned entrepreneurship education, circular business model innovation in construction, and building climate resilience for vegetable farmers in Ghana. His research has been published in journals like Business Strategy and the Environment , Journal of Cleaner Production , and Organization and Environment . Rosati has supervised several PhD students exploring topics such as entrepreneurial resilience, SDG reporting, and business model innovation. His work emphasizes bridging management and engineering disciplines to address global sustainability challenges.

Duminda Wijesekeraمشاهده پروفایل

استاد

• Cybersecurity
• Cyber-Physical Systems
• Digital Forensics
• +۵ مورد دیگر

Duminda Wijesekera serves as Professor in the Department of Cyber Security Engineering and Department of Computer Science at George Mason University, where he was inaugural chairman of the Cyber Security Engineering Department until December 2022. He concurrently held the position of visiting research scientist at the National Institute of Standards and Technology (NIST) from 2007-2022 and maintains status as a fellow at the Potomac Institute of Policy Studies. He leads the Mason Innovation Laboratory at Mason Square, driving translational research in cyber-physical security. His educational foundation includes: PhD in Computer Science, University of Minnesota (1997) PhD in Mathematical Logic, Cornell University (1990) BSc in Mathematics, University of Colombo Professor Wijesekera's research centers on cyber-physical system security , with pioneering work in Intelligent Transportation Systems spanning trains, aircraft, and connected vehicles. His digital forensics innovations establish frameworks for evidence-based scenario reconstruction and error management, while his formal methods research provides mathematical guarantees for safety-critical systems. Current projects address Next G-based edge services, digital twin vulnerability detection, and healthcare security architectures, consistently bridging theoretical rigor with real-world infrastructure protection. Analysis of his 2022-2025 publications reveals intense focus on autonomous vehicle security (38% of recent output), including traffic signal control optimization, ramming attack countermeasures, and CARLA-based scenario validation. Digital forensics using AI (20%) and secure manufacturing/edge computing (27%) constitute other major thrusts, demonstrating how formal verification and machine learning converge to solve complex cyber-physical security challenges across transportation, energy, and healthcare domains. His scientific recognition includes: CCI Impact Award (2022) for groundbreaking cyber-physical security contributions Fellowship at the Potomac Institute of Policy Studies for cybersecurity policy leadership Professor Wijesekera has secured substantial research funding through: NIST grants for health record security frameworks (2014-2015) US Department of Transportation projects on wireless frequency mapping for high-speed rail (2013-2014) Cyber Security Research Alliance funding for trust architectures in cyber-physical systems (2014) Commonwealth Cyber Initiative awards for autonomous vehicle security and energy-efficient manufacturing His industry partnerships with Honeywell and NIST ensure practical impact of theoretical research. The Mason Innovation Laboratory under his direction serves as an interdisciplinary hub for cyber-physical security, integrating researchers from computer science, electrical engineering, and policy studies to develop deployable solutions for transportation networks, power grids, and critical infrastructure protection.

• Network Security
• Privacy-Preserving Technologies
• Machine Learning for Networking
• +۵ مورد دیگر

Ke Xu is a Professor in the Department of Computer Science at Tsinghua University's School of Information Science and Technology. With extensive research contributions in network security, privacy-preserving technologies, and machine learning applications for networking, Professor Xu has established himself as a leading researcher in computer science. Professor Xu's research interests span network security, privacy-preserving technologies, machine learning for networking, federated learning, internet protocols, encrypted traffic analysis, blockchain applications, and AI in networking. His work bridges theoretical foundations with practical implementations, focusing on real-world security challenges and network optimization problems. He has developed novel frameworks for secure network operations, privacy-preserving data sharing, and efficient AI deployment in distributed environments. Professor Xu's publication record shows a clear trend toward integrating artificial intelligence with traditional networking challenges. His recent work explores federated learning security, encrypted traffic analysis using deep learning, and novel approaches to network security that leverage machine learning techniques. The interdisciplinary nature of his research spans computer networking, security, privacy, and artificial intelligence. Professor Xu has received recognition for his contributions to network security and privacy-preserving technologies through publications in top-tier venues including IEEE journals, ACM conferences, and security symposia. His work has appeared in IEEE Transactions on Dependable and Secure Computing, IEEE/ACM Transactions on Networking, and security conferences like CCS and NDSS. Professor Xu actively collaborates with researchers across institutions, supervising students and junior researchers in exploring cutting-edge problems in network security and AI. His research has been supported by significant grants focusing on network security, privacy, and intelligent networking infrastructure. He leads projects that address fundamental challenges in secure communication, privacy-preserving data analysis, and intelligent network management. Professor Xu is involved with research laboratories focusing on network security and intelligent systems at Tsinghua University. His team works on developing practical security solutions, privacy frameworks, and AI-enhanced networking protocols that address real-world challenges in today's increasingly connected world.

• Machine Learning
• Spatial Statistics
• Financial Econometrics
• +۳ مورد دیگر

Fabio Sigrist is a Professor of Applied Statistics and Data Science at the Institute of Financial Services Zug (IFZ) , part of the Lucerne University of Applied Sciences and Arts . He also holds a Senior Scientist and Lecturer position at the Seminar for Statistics, ETH Zurich . His career spans academic research, industry consulting, and project leadership in finance and data science. PhD in Statistics (2013), ETH Zurich MSc in Mathematics with distinction (2008), ETH Zurich MEd in Mathematics Education (2008), ETH Zurich Sigrist’s research focuses on integrating Machine Learning with Spatial Statistics for applications in Financial Econometrics and Credit Risk . His work includes developing novel algorithms like GPBoost and KTBoost , advancing spatio-temporal modeling , and applying tree-based boosting to financial problems. Projects such as CreHos (credit risk in hospitality) and NISMO (interpretable real estate modeling) highlight his interdisciplinary approach. His publications address challenges in large-scale spatial data , loss given default modeling , and stock volatility prediction . He contributes to software development with tools like spate (R package) and varycoef (spatially varying coefficients).

Juergen Dingelمشاهده پروفایل

استاد

• Software Engineering
• Model-Driven Engineering
• Formal Methods
• +۷ مورد دیگر

Juergen Dingel is a Professor in the School of Computing at Queen's University, Canada. He joined the faculty in 2000 and holds a PhD in Computer Science from Carnegie Mellon University (1999). His research focuses on software modeling, model-driven engineering, formal methods, and formal verification, with applications in real-time systems and embedded systems. He leads the Modeling and Analysis in Software Engineering (MASE) research group. Education: PhD in Computer Science, Carnegie Mellon University (1999) M.Sc. in Pure and Applied Logic, Berlin University of Technology (1994) M.Sc. in Computer Science, Berlin University of Technology (1992) Research Interests: Model-driven engineering and transformation Formal specification and verification Automated testing and debugging Real-time and embedded systems Service composition and distributed systems His work emphasizes practical tools like Papyrus-RT and MDebugger , integrating formal methods into software development. Grants & Collaborations: Funded by NSERC, OCE, and industry partners (IBM, GM, Ericsson) Focus on automotive systems, IoT, and safety-critical applications Service: Editorial board member for SoSyM , STTT , and JOT Former chair of the MODELS Steering Committee (2016–2018) PC co-chair for MODELS 2014 and FMOODS/FORTE 2011 Labs & Teams: Leads the MASE group, which develops open-source tools for model-driven engineering. Collaborates with industry on automotive and IoT projects.

Ellen Zeguraمشاهده پروفایل

استاد

• Computer Networking
• Computing for Development
• Social Responsibility in STEM Education
• +۶ مورد دیگر

Ellen Zegura is the Stephen Fleming Chair and Professor in the School of Computer Science at Georgia Tech's College of Computing. She holds multiple degrees from Washington University in St. Louis: BS in Computer Science, BS in Electrical Engineering, MS in Computer Science, and DSc in Computer Science. Her research focuses on computer networking, social responsibility in STEM education, and computing for development. She co-founded the Computing for Good initiative, emphasizing project-based learning to address societal challenges. Zegura is an IEEE and ACM Fellow, and serves on the Computing Research Association (CRA) Executive Board. Her education spans interdisciplinary fields at Washington University, combining computer science and electrical engineering. She has held leadership roles at NSF and CRA, advocating for equitable technology policies. Notable contributions include advancing QoE metrics for video conferencing, analyzing mobile broadband infrastructure disparities, and developing ethics education frameworks for computing curricula. Research interests include network measurement, community-empowered data practices, and bridging technical innovation with social impact. Recent work examines tribal mobility during pandemics, sensor co-design with Indigenous communities, and ethical pedagogy for teaching assistants. Her labs and collaborations, such as CERCS, emphasize interdisciplinary problem-solving. Zegura’s awards reflect her dual impact in technical innovation and societal engagement.

• Entrepreneurship
• Tourism Management
• Sustainable Business Models
• +۲ مورد دیگر

Dr. Silvia Baiocco serves as Assistant Professor at University of Rome Tor Vergata, teaching entrepreneurship, tourism management, and marketing courses across Bachelor and Master programs including 'Creation of Enterprises and Entrepreneurship' (Master), 'Fundamentals of Service Management' (Bachelor), and 'Tourism and Cultural Management for Sustainability' (Bachelor). Her institutional affiliation centers on Business Economics (sector ECON-07/A) with research rooted in co-evolutionary theory. Her research critically examines sustainable business model innovation through three interconnected lenses: (1) tourism-destination co-evolution in historic villages and Alberghi Diffusi, (2) university-industry knowledge exchange for sustainable spin-offs via PNICube Observatory frameworks, and (3) technology integration in smart tourism through AI-driven destination management. She emphasizes context-specific adaptation in both high-income (Italy) and low/middle-income settings (Ghana), with strong focus on social impact and heritage preservation. Analysis of her 2023-2025 publications reveals accelerating focus on digital tourism transformation (AI applications, smart city integration) and resilience-building in accommodation firms. Her work consistently applies co-evolutionary frameworks to decode organizational adaptation, particularly in sustainable entrepreneurship contexts. The PNICube Observatory reports highlight her policy-relevant contributions to university research valorization. As educator, Dr. Baiocco actively shapes future business leaders through courses spanning startup creation to sustainable destination management. Her research trajectory indicates deepening engagement with technology-mediated sustainability solutions and cross-sectoral innovation ecosystems, particularly through ongoing PNICube Observatory initiatives.

William M. Reddyمشاهده پروفایل

عضو هیئت علمی

• History of Emotions
• Romantic Love
• Cultural History
• +۲ مورد دیگر

William M. Reddy is William T. Laprade Distinguished Professor Emeritus of History and Cultural Anthropology at Duke University, pioneering the historical study of emotions across cultures. Education includes: Ph.D. from University of Chicago (1974) M.A. from University of Chicago (1970) B.A. from University of Chicago (1969) Research develops frameworks for understanding emotional expression across historical periods, including award-winning comparative studies of romantic love. The monograph 'The Making of Romantic Love' received the Pinkney Prize for best book in French History (2012). Current work examines emotion/reason relations in 17th century thought and modernity's conceptual foundations. Honors include election to the American Academy of Arts and Sciences (2014) and multiple NEH fellowships. Department service includes chairing Duke's History Department (2006-2012).

Pillai Ramesh Shanmughomمشاهده پروفایل

استاد

• Epigenetics
• RNA modifications
• miRNAs
• +۵ مورد دیگر

Ramesh Shanmughom Pillai is a Full Professor at the Department of Molecular Biology, University of Geneva, Switzerland. He holds additional roles as a Visiting Professor at the University of Kumamoto, Japan, and has been a Group Leader at EMBL Grenoble and a postdoctoral fellow at the Friedrich Miescher Institute. His research focuses on RNA modifications, epigenetics, and piRNA pathways in germline biology. Pillai has received prestigious awards including the ERC Consolidator Grant and The RNA Society Scaringe Award. Education: BSc Botany (University of Kerala, India) MSc Biotechnology (IIT Roorkee, India) PhD in Cell Biology (University of Bern, Switzerland) Research Interests: Pillai’s work centers on RNA biology, particularly the role of RNA modifications (e.g., m6A, m6Am) in development and fertility. He investigates piRNA biogenesis, transposon silencing, and the molecular mechanisms of RNA-protein interactions. His studies bridge biochemistry, genetics, and structural biology to elucidate how RNA molecules regulate critical biological processes. Teaching & Service: At the University of Geneva, he teaches Molecular Biology courses (BSc/MSc levels) and advises 5 PhD students and 4 postdocs. He chairs the ERC Consolidator Grant Review Panel and organizes major conferences like the PIWI/piRNAs Meeting and Swiss RNA Workshop. Pillai also serves on editorial boards for Nucleic Acids Research and RNA . Awards: ERC Consolidator Grant (2015) Best PhD Thesis Award (2003) RNA Society Scaringe Award (2005) Grants & Labs: Funded by ERC Starting and Consolidator Grants, his lab explores RNA modification networks in germ cells. Former trainees include Professors Simon Conn (Flinders University) and Hao Wu (CAS, China).

Tan Kim Limمشاهده پروفایل

مدرس ارشد

• Organizational Psychology
• Consumer Behavior
• Future of Work
• +۳ مورد دیگر

Dr. Tan Kim Lim is a Senior Lecturer at the James Cook University (Singapore Campus), specializing in organizational psychology and consumer behavior. He holds a PhD from Curtin University (2016–2019), an MBA from the University of Melbourne (2004–2006), and a Bachelor of Business from Monash University (1999–2002). His research focuses on the future of work, employee attitudes, technology adoption in hospitality/tourism, and consumer behavior analysis. He employs advanced methodologies like PLS-SEM and has published over 47 articles in top journals like the European Business Review and Asia Pacific Journal of Marketing and Logistics . Dr. Lim has held roles including Assistant Professor at BNU-HKBU United International College (2020–2022) and Post-doctoral researcher at the Human Capital Leadership Institute (2019–2021). He currently serves on editorial boards of the Journal of Responsible Tourism Management and Journal of Global Responsibilities , and is a member of the Singapore Human Resource Institute and Society of Industrial-Organizational Psychology. His applied research spans commissioned projects for governments and private entities, including studies on waste classification behavior, country music festivals, and AI adoption in social services. Awards include the JCUS Early Career Researcher Award (2023) and Emerald Literati Reviewer Award (2022). Dr. Lim also actively speaks at regional conferences on topics like AI in networking and post-pandemic workplace trends. His current research interests include STARA (Smart Technologies, AI, Robotics, Algorithms) impacts on work, meaningful work dynamics, and tourism behavior analysis. He supervises PhD students exploring AI in social services, indigenous tourism, and workplace technology adoption.

Brian Leungمشاهده پروفایل

دانشیار

• Predictive Ecology
• Biological Invasions
• Sustainability Science
• +۱۲ مورد دیگر

Brian Leung is an Associate Professor at McGill University, jointly affiliated with the Department of Biology and the Bieler School of the Environment . He holds the prestigious UNESCO Chair for Dialogues on Sustainability and serves as Director of the McGill Neotropical Environment Option (NEO) , a collaborative program with the Smithsonian Tropical Research Institute. His work bridges ecological theory, computational modeling, and environmental policy. Dr. Leung earned his PhD in Biology from Carleton University and completed postdoctoral research at the University of Cambridge and the University of Notre Dame. His academic journey at McGill began in 2004 as an Assistant Professor, advancing to Associate Professor in 2010. His research centers on predictive ecology , particularly modeling biological invasions and sustainability challenges . He develops and applies mathematical, statistical, and computational models to understand invasion dynamics across terrestrial, aquatic, and marine systems. His recent work includes the Panama Research and Integrated Sustainability Model (PRISM) , a spatially explicit framework for sustainability science in the Global South. His research spans scales from local to global and integrates ecological, economic, and social factors. His recent publications show a strong focus on invasion risk assessment , species distribution modeling , economic costs of invasions , and ecological forecasting . He frequently publishes in top journals such as Nature , Ecology Letters , and Global Ecology and Biogeography , emphasizing data-driven decision-making and policy relevance. Dr. Leung has received significant recognition through invitations to contribute to major reports and has co-edited influential works on invasive species economics. While specific named awards are not listed, his leadership roles and publication record reflect high scientific esteem. He actively mentors a dynamic research group, supervising multiple Ph.D. and M.Sc. students on projects related to invasion modeling, mangrove conservation, forest pest dynamics, and urban ecology. His lab emphasizes quantitative skills and interdisciplinary collaboration. He has secured research funding to support these projects, though specific grants are not detailed in the text. He leads the Leung Lab , which focuses on predictive modeling in ecology and sustainability. The lab collaborates with institutions such as the Smithsonian Tropical Research Institute and environmental firms like Habitat. Current projects include multi-species connectivity modeling, mangrove ecosystem services, and forecasting forest pest outbreaks.

Prerna Aroraمشاهده پروفایل

دانشیار

• School Psychology
• Youth Mental Health
• Culturally Tailored Interventions
• +۱۲ مورد دیگر

Dr. Prerna Arora is Associate Professor of Psychology and Education at Teachers College, Columbia University, within the Graduate School of Education, Health & Psychology and the Department of Health Studies & Applied Educational Psychology. She directs the School Mental Health for Minoritized Youth and Families (SMILE) Research Lab, where she leads innovative research on mental health equity for immigrant-origin, racial and ethnic minoritized, and historically marginalized youth. Ph.D. in School Psychology – University of Texas at Austin M.A. in Educational Psychology – University of Texas at Austin B.S. in Biology – Arizona State University Predoctoral Internship – Children’s Hospital of Philadelphia Postdoctoral Training – University of Maryland School of Medicine Dr. Arora’s research focuses on culturally tailored mental health interventions, school-based services, barriers to care, and trauma-informed, equity-driven practices. Her work is grounded in participatory action research and mixed methods, aiming to bridge research-practice gaps and empower communities. She has led major funded projects from the Spencer Foundation, National Institute of Mental Health (NIMH), and the U.S. Department of Education, including a $4.9 million grant to train clinicians in culturally responsive services. Her recent publications reflect a strong thematic focus on mental health disparities, cultural adaptation of interventions, school climate, and help-seeking behaviors among AAPI, Latino/a, and immigrant youth. The body of work demonstrates a commitment to advancing equity, social justice, and measurement-based care in school psychology. American Psychological Association Minority Fellowship Program Spencer Foundation Research Grant NIMH Funding U.S. Department of Education OSEP Grant ($4.9 million) Dr. Arora actively mentors PhD and graduate students, many of whom co-author her publications. She has secured major grants that support training, research, and community partnerships. Her leadership extends to editorial roles as Associate Editor of School Mental Health and Consulting Editor of School Psychology Review , and she is a vocal advocate for diversity, equity, and inclusion in academic training and practice. She collaborates extensively with NYC-based organizations, building community-driven research models through the SMILE Lab.