جستجوی استاد راهنمای دانشگاهی

• complex systems
• network theory
• statistical physics
• +۱۰ مورد دیگر

Adilson Motter is the Charles E. and Emma H. Morrison Professor of Physics and Astronomy and (by courtesy) Engineering Sciences and Applied Mathematics at Northwestern University. He serves as Director of the Center for Network Dynamics (CND) and has been a faculty member since March 2006. His academic appointments include affiliations with the Chemistry of Life Processes Institute (CLP), Molecular Biophysics Program, NSF-Simons National Institute for Theory and Mathematics in Biology (NITMB), Paula M. Trienens Institute for Sustainability and Energy, Graduate Program in Applied Physics, Center for Interdisciplinary Exploration and Research in Astrophysics (CIERA), Institute for Quantum Information Research and Engineering (INQUIRE), and Northwestern Institute on Complex Systems (NICO). Professor Motter received his Ph.D. in 2002 from UNICAMP (University of Campinas), Brazil, where he worked with Professor Patricio S. Letelier. Prior to joining Northwestern, he held positions as Guest Scientist at the Max Planck Institute for the Physics of Complex Systems in Germany and as Director's Funded Postdoctoral Fellow at the Center for Nonlinear Studies at Los Alamos National Laboratory. Professor Motter's research focuses on the dynamical behavior and control of complex systems and networks. His work spans theoretical and computational approaches to understanding phenomena in physical, biological, and engineered systems. Key research areas include: Cascading dynamics and network resilience Spontaneous synchronization and symmetry phenomena Network control theory and applications Quantum networks and information transfer Machine learning applications to network science Data-driven discovery in complex systems Applications to quantitative biology, biomedical research, renewable energy, smart power grids, microfluidics, and metamaterials Analysis of Professor Motter's recent publications reveals a strong interdisciplinary focus spanning physics, engineering, biology, and computer science. His work demonstrates consistent innovation in network science, with recent contributions advancing quantum networking architectures, understanding power grid limitations for electric vehicle integration, developing machine learning approaches for genetic analysis, and exploring fundamental synchronization phenomena. A notable trend is the increasing application of his theoretical frameworks to real-world challenges in energy systems, biomedical research, and quantum information technology. Professor Motter has received numerous prestigious awards and honors: Alfred P. Sloan Research Fellowship (2009) Weinberg Award for Excellence in Mentoring Undergraduate Research (2009) Northwestern-Argonne Early Career Investigator Award for Energy Research (2010) NSF Faculty Early Career Development (CAREER) Award (2011) Erdös-Rényi Prize in Network Science (2013) Fellow of the American Physical Society (2013) Simons Foundation Fellowship in Theoretical Physics (2015) Fellow of the American Association for the Advancement of Science (2015) Scialog Fellow (2015) Outstanding Referee, American Physical Society (2016) Fellow of the Network Science Society (2020) Senior Scientific Award, Complex Systems Society (2022) Professor Motter has demonstrated exceptional commitment to mentoring, as evidenced by the Weinberg Award for Excellence in Mentoring Undergraduate Research. His research group has received significant funding through multiple NSF grants, including his CAREER award, and collaborations with Argonne National Laboratory. Current research directions include mechanical metamaterial networks, quantum network science, and other areas of complex systems. The group has been actively recruiting postdoctoral researchers and has seen students recognized with awards and research grants. As Director of the Center for Network Dynamics (established September 2023), Professor Motter leads a multidisciplinary team exploring network phenomena across various domains. The Center has hosted significant events including the 'Brain Architecture and Computing 2024' workshop and is organizing the 2025 CDC Workshop on Neurocomputation and Dynamics in Rio de Janeiro. The Motter Group maintains active collaborations with experimentalists and researchers from diverse disciplines, facilitating the translation of theoretical insights into practical applications.

• Applied Statistics
• Statistical Consultancies
• Functional Data Analysis
• +۵ مورد دیگر

Bo Markussen is a Professor at the University of Copenhagen within the Department of Mathematical Sciences . He is also a member of the Data Science Laboratory , where he contributes to statistical methodology and interdisciplinary collaborations. His academic journey began with a Cand.Scient (MSc) and PhD in Statistics from the University of Copenhagen, awarded in 1998 and 2002 respectively. 2012–present: Professor, Department of Mathematical Sciences, University of Copenhagen 2009–2012: Associate Professor, Department of Basic Sciences and Environment, University of Copenhagen 2006–2009: Assistant Professor, Department of Basic Sciences and Environment, University of Copenhagen Bo Markussen's research focuses on applied statistics , particularly in functional data analysis and multiple testing corrections in genetics . His work spans diverse domains including environmental science, agriculture, and public health. Recent research output highlights applications in Arctic climate data analysis, fire risk modeling, plant stress phenotyping, and nutritional biomarker prediction. His recent publications demonstrate a strong trend toward machine learning integration with statistical modeling , addressing challenges in high-dimensional data analysis and environmental risk assessment. Collaborations span institutions in Denmark and internationally, reflecting his engagement in pan-Arctic climate studies and tropical agricultural research. 2018–present: Associate Editor, Scandinavian Journal of Statistics 2017–2019: Chair, Danish Society for Theoretical Statistics 2015–2017: Board Member, Danish Society for Theoretical Statistics As a central figure in the Data Science Laboratory , Markussen leads statistical consultancy initiatives and contributes to methodological advancements. His expertise bridges theoretical statistics with real-world applications, particularly in handling complex datasets across biological and environmental domains.

Hongkai Wenمشاهده پروفایل

استاد

• Machine Learning Systems
• Artificial Intelligence
• Data Science
• +۵ مورد دیگر

Hongkai Wen is a Professor (Chair in Machine Learning Systems) in the Department of Computer Science at the University of Warwick, UK. He holds dual appointments as a Fellow of the Alan Turing Institute (serving as Independent Scientific Advisor for BridgeAI and member of Turing Research Ethics team) and previously worked as Senior Research Scientist at Samsung AI Centre Cambridge and postdoctoral researcher at Oxford University. Education: Computer Science, Keble College, University of Oxford Research Focus: Develops intelligent multi-modal perception systems for real-world deployment with extreme computational efficiency. Core expertise spans ML systems optimization, neural architecture search, and cross-disciplinary applications in robotics, urban mobility, and wearable/IoT security. Pioneered event-based vision techniques and training-free NAS frameworks. Publication Trends: Recent work (2023-2025) demonstrates accelerating innovation in diffusion model efficiency, on-device AI deployment, and sensor fusion techniques. Dominant themes include computational resource optimization for edge devices, multi-modal temporal modeling, and privacy-preserving spatial analytics, with significant contributions to NeurIPS, ICML, and CVPR venues. Scientific Recognition: Best Paper Award, AutoML Conf 2023 (T-CET) Best Paper Runner-up, SenSys 2024 (AdaFlow) Best Paper Awards: IPSN 2014 & EWSN 2013 1st/2nd Place, Zero Cost NAS Competition (AutoML'22) Mentorship & Funding: Actively supervises PhD candidates through thesis committees at Warwick, Ulster, and Queensland universities. Secured National AI Strategy Fund for Macro Neural Architecture Search research. Recruits annually for PhD positions with scholarships from UKRI, Turing Institute, and industry partnerships. Research Leadership: Heads the AI/ML Systems (AMS) Division at Warwick, directing a 15+ member team developing deployable ML frameworks for mobile/robotic platforms. Maintains active collaborations with Samsung AI Centre and Turing Institute's BridgeAI programme on ethical AI deployment.

Andrea Santangeliمشاهده پروفایل

پژوهشگر

• Ecology
• Evolutionary Biology
• Wildlife Conservation
• +۴ مورد دیگر

Andrea Santangeli serves as a Supervisor in the Doctoral Programme in Wildlife Biology and holds a Docentship in the Organismal and Evolutionary Biology Research Program at the University of Helsinki's Faculty of Biological and Environmental Sciences. He maintains an additional affiliation as an Honorary Fellow at the University of Cape Town's FitzPatrick Institute of African Ornithology under the National Research Foundation Centre of Excellence since August 2019. His research spans international collaborations across multiple continents, with particular focus on African and European conservation challenges. Dr. Santangeli completed his doctoral thesis titled 'Assessing the effectiveness of different approaches to species conservation' at the University of Helsinki in 2013. His educational background established the foundation for his current research program focused on evidence-based conservation strategies and effectiveness assessment. His research interests center on wildlife conservation biology, particularly avian ecology and species protection. Santangeli's work examines human-wildlife interactions, conservation prioritization, and the effectiveness of different conservation approaches. He investigates how climate change affects species distributions and community composition, with special attention to vulture conservation, bird-feeding practices, and the impacts of agricultural systems on biodiversity. His approach integrates ecological, social, and policy dimensions to develop comprehensive conservation solutions. Species conservation effectiveness Human-wildlife interactions Climate change impacts on biodiversity Vulture conservation Bird community dynamics Ecosystem services assessment Analysis of Santangeli's recent publications (2023-2025) reveals a strong focus on interdisciplinary conservation science addressing urgent global challenges. His work increasingly integrates One Health approaches, examining connections between wildlife health, ecosystem functioning, and human activities. Key themes include climate change adaptation strategies, human dimensions of conservation, and technological innovations for monitoring and protection. His research shows growing emphasis on policy-relevant science that directly informs conservation decision-making at multiple scales. His scientific recognition includes an Honorary Fellowship at the University of Cape Town's prestigious FitzPatrick Institute of African Ornithology, part of the DST NRF Centre of Excellence. This position acknowledges his significant contributions to African ornithology and conservation science, particularly his work on vulture conservation across the continent. As a doctoral supervisor, Santangeli guides the next generation of conservation scientists through the Wildlife Biology doctoral program. His research is supported by multiple projects, including the ongoing 'Understanding the drivers and species ecological traits underpinning the global trade in wild birds' (2019-2024), which examines wildlife trade dynamics and conservation implications. His work demonstrates strong international collaboration networks across Europe, Africa, and beyond. Santangeli's research activities involve extensive fieldwork, data analysis, and policy engagement. He participates in academic visits to institutions like the Center d'Études Biologiques de Chizé in France and contributes to scientific conferences and peer review for leading conservation journals. His work often involves citizen science approaches, as evidenced by the 'iratebirds' project on aesthetic attraction to birds.

• Wildlife Ecology
• Large Mammal Conservation
• Human-Wildlife Conflict
• +۵ مورد دیگر

Martin Mayer serves as Associate Professor at the University of Inland Norway within the Faculty of Applied Ecology, Agricultural Sciences and Biotechnology and the Department of Forestry and Outback Studies. Based at the Evenstad study location, his research focuses on large mammal ecology in human-dominated landscapes across Scandinavia and Europe. His primary research interests center on Wildlife Ecology and Large Mammal Conservation , with particular emphasis on human-wildlife conflict resolution, road ecology, and carnivore management. Mayer investigates how species like moose, deer, and beavers adapt to anthropogenic landscapes through habitat selection, movement patterns, and population dynamics. His work integrates cutting-edge methodologies including GPS telemetry, drone surveillance, and citizen science data to address conservation challenges in agricultural and urban settings. Analysis of Mayer's recent publications reveals strong trends in using roadkill data for population monitoring, examining spatial constraints on wildlife movement, and developing mitigation strategies for human-wildlife conflicts. His research increasingly incorporates cross-border European perspectives on wildlife management while maintaining a strong foundation in Scandinavian field ecology. Mayer actively contributes to the LARGE research group (ecology of large animals), which conducts field studies on ungulate behavior, predator-prey dynamics, and landscape-scale conservation planning in Norway's boreal ecosystems.

Zhibin Chenمشاهده پروفایل

استادیار

• Transportation Network Modeling and Optimization
• Intelligent Transportation Systems
• Discrete Optimization
• +۴ مورد دیگر

Zhibin Chen is an Assistant Professor of Engineering at NYU Shanghai and concurrently a Global Network Assistant Professor within the broader New York University system. Since January 2019 he has led research and teaching activities at the Division of Engineering and Computer Science in Shanghai, while maintaining university-wide collaborations through his Global Network appointment. Education Ph.D. in Transportation Engineering, University of Florida (2017) Research Interests Dr. Chen’s scholarship centres on Transportation Network Modeling and Optimization , Intelligent Transportation Systems , and Discrete Optimization . He integrates operations research, data science, and engineering to address emerging challenges in electric mobility, autonomous vehicles, and large-scale urban networks. Recent thrusts include: Data-driven analytics of electric-vehicle charging behaviour under usage heterogeneity. Optimization of charging and swapping infrastructure for electric buses and trucks. Network-level deployment and control strategies for connected and automated vehicles. Day-to-day traffic dynamics and equilibrium models with elastic demand. Pricing, policy, and incentive design for sustainable transportation systems. Scientific Awards Stella Dafermos Best Paper Award – awarded at the 95th Transportation Research Board Annual Meeting. Ryuichi Kitamura Paper Award – also conferred at the 95th TRB Annual Meeting. Editorial & Professional Service Dr. Chen currently serves on the Editorial Advisory Board of Transportation Research Part C: Emerging Technologies , shaping the editorial direction of the leading journal in his field. Grants & Collaborations While specific grant identifiers are not disclosed in the provided text, Dr. Chen’s extensive publication record in top-tier journals ( Transportation Science , Transportation Research Parts B, C, D , IEEE ITS , Applied Energy ) and his editorial role indicate sustained research funding and active collaboration with international partners across North America and China. Laboratories & Teams Operating within the Division of Engineering and Computer Science at NYU Shanghai , Dr. Chen leads a research group focused on next-generation mobility analytics, leveraging the university’s interdisciplinary ecosystem and NYU’s Global Network resources to advance smart and sustainable transportation.

Yue Liمشاهده پروفایل

استاد

• Resilient Civil Infrastructure
• Structural Reliability
• Risk Assessment
• +۳ مورد دیگر

Yue Li is the Leonard Case Jr. Professor in the Department of Civil and Environmental Engineering at Case Western Reserve University. He specializes in resilient and sustainable infrastructure systems, focusing on structural reliability, probabilistic design, and climate change adaptation. His research addresses risk assessment for infrastructure under extreme events, including earthquakes, hurricanes, and climate impacts. Education: PhD in Civil Engineering, Georgia Institute of Technology, 2005 Research Interests: Dr. Li’s work integrates advanced statistical methods and data-driven approaches to enhance infrastructure resilience. Key areas include: Probabilistic modeling of structural systems Risk-informed decision-making for multi-hazard mitigation Climate change impacts on material durability and performance Asset management and lifecycle cost analysis Notable Contributions: His recent publications emphasize data-driven resilience metrics for water systems and seismic risk assessment for bridges. He has pioneered frameworks for evaluating infrastructure vulnerability under climate change, including corrosion effects and extreme weather adaptation. Awards: ABSE Outstanding Paper Award (2023) Case School of Engineering Teaching Award (2020) Nomination for John S. Diekhoff Award (2019) Leadership Roles: Dr. Li serves as Section Editor for the ASCE Journal of Structural Engineering and chairs multiple technical committees on safety and reliability. He leads initiatives to standardize multi-hazard design practices and resilience evaluation methodologies.

Sanjeev Chatterjeeمشاهده پروفایل

استاد

• Documentary Filmmaking
• Visual Storytelling
• Sustainability
• +۶ مورد دیگر

Sanjeev Chatterjee is a Professor at the University of Miami's School of Communication with primary appointments in the Department of Cinema and Interactive Media and secondary appointments in the Department of Journalism. He also serves on the faculties of the Salzburg Academy on Media and Global Change (since 2006) and the Young India Fellowship (since 2011). Chatterjee has been at the University of Miami since 1994, after previously teaching at Emerson College, Boston as an assistant professor starting in 1989. He earned his M.F.A. in Radio and Television from Brooklyn College in 1989 and an M.A. in English Literature from Delhi University in 1985. Chatterjee's research focuses on Documentary Media Making, Sustainability, Environment, and the Indian Diaspora. His work bridges academic scholarship with practical media production, creating documentaries that address global issues while serving educational purposes. He has developed numerous media projects that combine storytelling with social impact, particularly in the areas of water sustainability and cross-cultural understanding. His filmography demonstrates consistent engagement with environmental issues, particularly water resources, as seen in his acclaimed 'One Water' series and related projects. Chatterjee's work also explores urban environments, cultural identity, and diaspora communities, reflecting his interdisciplinary approach to media production. His documentaries have reached global audiences through film festivals, television distribution, and educational screenings worldwide. Fulbright Scholar (India) 2011 AMAP Prize at EcoVision film festival Best Environmental Feature Award at Artivist Film Festival Multiple Best Documentary awards at international film festivals King Award, Best of Festival at Broadcast Education Association Numerous technical merit awards for documentary production As an educator, Chatterjee has directed the University of Miami's semester abroad program in India (UIndia) since 2013 and founded the non-profit Media for Change in 2015. His administrative roles have included Vice Dean of the School of Communication (2006-2010) and founding Executive Director of the Knight Center for International Media (2007-2011). He has secured significant funding from organizations including the Knight Foundation, Florida Humanities Council, UNDP, UN Water, and the United States Institute for Peace to support his media projects. Chatterjee directs the University of Miami's semester abroad program in India and founded Media for Change, a Florida-based non-profit creating a global network of media changemakers. His work demonstrates a commitment to using media as a tool for social change, environmental awareness, and cross-cultural understanding.

Gabriella Casalinoمشاهده پروفایل

استادیار

• Computational Intelligence
• eHealth
• Data Stream Mining
• +۵ مورد دیگر

Gabriella Casalino is an Assistant Professor at the University of Bari Aldo Moro, Department of Computer Science, and a key researcher at CILAB - Computational Intelligence Lab. Her work focuses on Computational Intelligence methods for interpretable data analysis, particularly in eHealth, Data Stream Mining, and eXplainable Artificial Intelligence (XAI) within medical and educational domains. She has contributed to innovative approaches in smartphone-based health monitoring, fuzzy logic applications, and remote vital sign detection via photoplethysmography. Education : Ph.D. in Computer Science, with advanced training at institutions like Universitat de Girona and Université de Mons. Research Trends : Recent publications highlight applications of evolving granular computing, neuro-fuzzy systems, and explainable AI in hypertension prediction, bipolar disorder monitoring, and educational data analysis. Key subfields include remote health monitoring, medical data streams, and hybrid AI models. Grants : Research funded by AIRC (Italian Cancer Research Foundation), focusing on computational methods for healthcare challenges. Labs & Collaborations : Active in CILAB, collaborating on projects involving mHealth solutions, cardiovascular risk assessment, and intelligent educational systems.

George Karakostasمشاهده پروفایل

دانشیار

• Scientific Computing
• Optimization
• Theoretical Computer Science
• +۳ مورد دیگر

Dr. George Karakostas is an Associate Professor in the Department of Computing and Software at McMaster University. His research focuses on Scientific Computing, Optimization, and Theoretical Computer Science, with a particular emphasis on algorithms, scheduling, and resource management in data centers and mobile networks. He is actively involved in advising graduate students and contributes to cutting-edge research in digital twins, edge computing, and approximation algorithms. Dr. Karakostas holds a PhD (implied by title) and has authored numerous publications addressing challenges in workload distribution, thermal management, and task scheduling under deadline constraints. His work often intersects with practical applications in IoT, wireless networks, and energy-efficient infrastructure. Key research trends include optimizing resource allocation in distributed systems, developing efficient offloading strategies for mobile devices, and leveraging digital twins for system performance enhancement. Despite the volume of his publications, the focus consistently revolves around theoretical rigor paired with real-world applicability. Dr. Karakostas is affiliated with the Digital & Smart Systems research cluster and teaches advanced courses such as CAS 744: Advanced Topics in Design of Algorithms (Theory). His contact information includes karakos@mcmaster.ca and a faculty profile page at www.cas.mcmaster.ca/~gk.

• Multi-agent Systems
• Sustainability
• Intelligent Transport Systems
• +۳ مورد دیگر

Dr. Fatemeh Golpayegani is an Assistant Professor at the School of Computer Science, University College Dublin. She leads the Multi-agent Systems and Sustainable Solutions lab (MAS3.ucd.ie) and has secured over €1.5M in research grants. Her academic roles include BSc Stage 4 Coordinator and Chair of Women@CS (2012–2023). She holds a PhD from Trinity College Dublin (2018) and professional qualifications in university teaching from UCD. Education: PhD in Computer Science, Trinity College Dublin (2018) Professional Diploma in University Teaching & Learning, University College Dublin (2024) Professional Certificate in University Teaching & Learning, University College Dublin (2023) Research Interests: Focuses on multi-agent systems, sustainability, intelligent transport systems, autonomous decision-making, and edge computing. Her work integrates reinforcement learning, ontology-based models, and adaptive systems to address challenges in smart cities, energy grids, and infrastructure monitoring. Grants & Projects: Principal Investigator for the EU-funded RE-ROUTE project (€multi-million, 2023–2026) on intelligent transport networks. Co-Principal Investigator for the Augmented CCAM project on connected/cooperative autonomous mobility. Funded investigator in SFI centres (I-Form, CONNECT, Biorbic). Awards & Recognition: Researcher of the Year Award (2022) Member of Young Academy of Ireland (2023) Teaching & Mentoring: Coordinates modules in algorithms, Java programming, and operating systems. Supervises PhD students in SFI centres and mentors postdoctoral researchers. Active in promoting EDI as Chair of d-real doctoral training centre. Labs & Collaborations: Leads the MAS3 lab, collaborating on projects like CAPTAIN CARBON (sustainable transport gamification) and ontology-enhanced traffic signal control systems.

Chen Wangمشاهده پروفایل

استادیار

• Robotics
• Computer Vision
• Machine Learning
• +۳ مورد دیگر

Dr. Chen Wang is an Assistant Professor in the Department of Computer Science and Engineering at the University at Buffalo. He holds a PhD from Nanyang Technological University and a B.Eng from the Beijing Institute of Technology. His research focuses on robotic perception, vision, and learning, emphasizing algorithm development for autonomous systems. He is affiliated with the Spatial AI and Robotics Lab (SAIR Lab) and serves as an Associate Editor for The International Journal of Robotics Research (IJRR) and IEEE Robotics and Automation Letters (RA-L) . His work spans neuro-symbolic AI, SLAM systems, and reinforcement learning for robotics. Dr. Wang's research interests include creating efficient algorithms with theoretical guarantees, open-source distribution, and real-world validation. He has contributed to areas like visual navigation, few-shot detection, and robot autonomy frameworks. His educational background in electrical engineering and robotics underscores his expertise in bridging theory and practical applications. Notable contributions include the iWalker framework for humanoid robots, AirSLAM for visual SLAM, and SuperPC for 3D point cloud processing. His editorial roles and conference service (e.g., CVPR Area Chair) reflect his leadership in the field. The SAIR Lab under his direction advances spatial AI, robotics, and autonomous systems through interdisciplinary collaboration.

Shahin Ghazianiمشاهده پروفایل

پژوهشگر

• Food Systems Sustainability
• Agricultural Data Management
• Food Loss and Waste Reduction
• +۳ مورد دیگر

Dr. Shahin Ghaziani is affiliated with the University of Hohenheim, serving in dual roles across two departments. As a researcher in the Department of Agricultural Business Administration (410b), he contributes to the EDIF and NOcsPS projects, focusing on agricultural policy and public relations. Concurrently, he supports the Department of Societal Transaction and Agriculture (430b) as an IT specialist and webmaster. His work bridges technical support, policy analysis, and research in food systems sustainability. Research interests include food loss/waste reduction, agricultural data systems, refugee nutrition, and policy-driven interventions. Notable projects address digital maturity in food certification and value stream mapping for wheat lifecycle analysis in Iran. Publications span 2014-2025, emphasizing cross-sector collaboration in policy design and quantitative methods for food waste mitigation. His work highlights gaps in household self-reporting and advocates for hybrid data approaches. Shahin collaborates with organizations like Caritas on asylum seeker nutrition and explores livestock sustainability in tropical regions. Though no awards are listed, his interdisciplinary projects reflect impactful contributions to food systems and refugee welfare.

• Operations and Supply Chain Management
• Technology & Innovation Management
• Leadership
• +۴ مورد دیگر

Gregory Prastacos is a Professor of Management Science and former Dean (2012-2024) at Stevens Institute of Technology's School of Business. He holds degrees from Columbia University, including a doctorate in Operations Research. His academic leadership spans roles as Rector of Athens University of Economics and Business (AUEB, 2007-2011) and founding director of AUEB’s International MBA Program and Management Science Laboratory. His research focuses on analytics, innovation, and digital transformation, with over 60 journal articles and 11 books. Notable awards include the Edelman Award (1979) and INFORMS Honorary Medal (2008). Education: B.Sc. and M.Sc. in Computer Science (Columbia University), Ph.D. in Operations Research (Columbia University). Research interests include supply chain analytics, technology management, and leadership ethics. His work on blood inventory management was recognized in Science magazine. As Dean at Stevens, he achieved AACSB accreditation, launched new programs, and secured NSF funding for the CRAFT Center. He co-chairs AACSB's Digital Transformation Affinity Group, leading the MaCuDE initiative to redefine business education for the digital era. Awards include Stevens' inaugural Leading by Example Award (2024), ROI New Jersey’s Higher Education Influencer (2022, 2024), and the Jacques Barzun Award (2017). He has advised Fortune 500 companies and served on boards of Deloitte, Onassis Foundation (USA), and the Hellenic Management Association. Grants and leadership: Over 25 major research projects funded by EU, Greek Ministry of Research, and others. Key initiatives include the MaCuDE program (AACSB/PwC, 2019), the Athens International Airport Impact Study (2009), and the Mapping Black Sea Research (2004). He has supervised 7 doctoral students and authored/co-authored influential works like Managerial Decision Making (2009) and Leading and Managing in the Digital Era (2024). Consulting and industry ties include Deloitte’s Management Consulting Practice (1997-2002), strategic advising for telecoms, banking, and logistics sectors. He launched OMAS SA, a leading Greek consulting firm, and co-founded the Business Confucius Institute of Athens.

Ben Gilbyمشاهده پروفایل

دانشیار

• Coastal and Marine Ecology
• Spatial Ecology
• Ecological Restoration
• +۳ مورد دیگر

Associate Professor Ben Gilby is a coastal and marine ecologist at the University of the Sunshine Coast (UniSC), specializing in ecological restoration, conservation biology, and spatial ecology. He holds an Associate Professor position in Animal Ecology within the School of Science, Technology and Engineering. His research focuses on optimizing ecosystem management through systematic planning, spatial ecology, and ecological indicators, with expertise in coastal fish habitats and shellfish reef restoration. He collaborates extensively with government agencies, NGOs, and industries to address ecological monitoring, restoration, and environmental planning challenges. Ben Gilby's education includes a PhD and BSc(Hons) from Griffith University (Griff) and the University of Queensland (Qld). His teaching includes courses on endangered animals, coastal and marine ecology, and restoration ecology. His research has been published widely in journals like Ecology , Conservation Biology , and Restoration Ecology , with a focus on seascape connectivity, urbanization impacts, and the ecological functions of coastal habitats. Key research topics include shellfish reef restoration, nutrient offsetting using coastal wetlands, and the integration of spatial ecology into conservation planning. He coordinates postgraduate research on coastal fish ecology, ecological restoration hotspots, and the ecological roles of coastal habitats. His work emphasizes maximizing ecological, social, and economic outcomes through evidence-based approaches.