جست‌وجوی استاد و پژوهشگر

Natasha Tusikovمشاهده پروفایل

دانشیار

• Information Technologies
• Crime, Law and Technology
• Private Security Industry
• +۳ مورد دیگر

Natasha Tusikov is an Associate Professor in the Department of Social Science at York University’s Faculty of Liberal Arts & Professional Studies. She holds affiliations as a Senior Fellow at the Balsillie School of International Affairs (Waterloo, Canada) and a Visiting Fellow with the Justice and Technoscience Lab (JusTech Lab) at the Australian National University. Her research focuses on intersections of law, crime, technology, and regulation, with expertise in information technologies, private security, and regulatory theory. Dr. Tusikov earned a PhD from the Australian National University, an MA from Queen’s University, and a BA from the University of British Columbia. Her work bridges criminology and global governance, addressing topics such as platform regulation, digital sovereignty, and smart city policy challenges. Her research interests emphasize critical analyses of global private regulation, internet governance, and the role of data in reshaping power dynamics. Notable contributions include Chokepoints: Global Private Regulation on the Internet (2017) and co-authored The New Knowledge: Information, Data, and the Remaking of Global Power (2023). Her articles explore themes like corporate censorship, regulatory frameworks for smart cities, and state authority in cyberspace. Her recent publications highlight critiques of privatized policymaking in smart cities and the need for balanced platform regulation. She has contributed to debates on digital governance and has advised on policy issues related to data sovereignty and tech ethics.

• Transportation modeling
• Applied operations research

Jee Eun (Jamie) Kang is an Associate Professor in the Department of Industrial and Systems Engineering at the University at Buffalo's School of Engineering and Applied Sciences. Research focuses on transportation modeling and applied operations research, with applications in urban mobility, shared autonomous vehicles, and sustainable transportation systems. Education includes a PhD from UC Irvine. Research emphasizes data-driven approaches to travel behavior, electric vehicle adoption, and humanitarian logistics. Publications consistently address mobility innovation, including pricing strategies for emerging services, predictive analytics for transit, and optimization of shared transportation systems.

• Operations Research
• Management Science
• Mathematical Programming
• +۱۳ مورد دیگر

Benjamin Lev is a Professor in the Department of Decision Sciences and Management Information Systems (DS&MIS) at the LeBow College of Business, Drexel University. He previously served as Trustee Professor (2014–2021) and Department Head (2009–2014) at Drexel. His academic leadership extends to prior roles as Professor, Department Head, and Dean at the University of Michigan-Dearborn (1990–2009), Professor and Department Head at Worcester Polytechnic Institute (1987–1990), and Professor and Department Head at Temple University (1970–1987). He has held short appointments at institutions in China and the U.S., including the Wharton School and Tel Aviv University. Lev’s research spans Operations Research, Management Science, and Decision Sciences , with expertise in mathematical programming, operations planning, inventory control, supply chain management, and optimization under uncertainty. His recent work focuses on applications in disaster management, sustainable supply chains, AI in operations, water resource allocation, and emergency logistics. He has published over 150 journal articles and authored or edited 18 books, with a strong emphasis on real-world problem-solving using quantitative methods. The trends in his recent publications (2022–2025) reflect a focus on complex optimization under uncertainty , particularly in humanitarian logistics, environmental sustainability, and digital commerce. His work frequently employs advanced methodologies such as bi-level programming, stochastic optimization, fuzzy logic, and data envelopment analysis (DEA), often applied to critical societal challenges like disaster response, air pollution, and resource scarcity. Lev is an INFORMS Fellow (2003) and has received several honors, including the 2023 Top Cited Article award in Naval Research Logistics and the 2023 First Prize from the Jiangxi Province Social Science Outstanding Achievement Award. His editorial leadership is most notably demonstrated by his 23-year tenure as Editor-in-Chief (2002–2025) of OMEGA – The International Journal of Management Science , one of the premier journals in the field. He has advised numerous scholars and presented his work globally, particularly on his experience as EiC of OMEGA . He has been actively involved in academic collaborations, especially in China, serving on advisory boards and as an external reviewer for institutions like Sichuan University. He has also received significant grant funding from the U.S. National Institutes of Health, U.S. Public Health Service, and U.S. Air Force for research in medical information systems and operations research applications. Lev has been instrumental in organizing major international conferences and has served on the editorial boards of over 20 journals, including Interfaces, IIE Transactions, OR Journal, and Financial Innovation . His role as Vice President of TIMS and INFORMS further underscores his leadership in the global operations research community.

Tove Helsمشاهده پروفایل

دانشیار

• Traffic Safety
• Transportation Engineering
• Road User Behavior
• +۷ مورد دیگر

Tove Hels is an Associate Professor in the Department of the Built Environment at the Faculty of Engineering and Science, Aalborg University, Denmark. She is a key member of the Traffic Research Group, focusing on transportation safety, road user behavior, and traffic policy. Her work bridges engineering, public health, and social science to improve road safety outcomes. Research Interests: Her research spans traffic safety, cyclist-motorist interactions, speed enforcement, accident risk modeling, and the impact of vehicle technologies. She investigates both infrastructure design and behavioral factors influencing road safety, with a strong emphasis on data-driven analysis and policy evaluation. The recent publications reveal a consistent focus on improving cyclist safety through infrastructure (e.g., advanced stop boxes, roundabout design), addressing under-reporting of traffic injuries, and evaluating behavioral interventions for speeding. Her work integrates epidemiological methods, statistical modeling, and real-world policy applications. Scientific Contributions: Principal Investigator in the Danmarks Trafikulykker cohort study (2025–2029) Project participant in EASE: Intervention against speed offenders (2019–2025) Author of over 29 research outputs including journal articles, reports, and policy briefs Frequent contributor to national media and advisory bodies like Dansk Vejforening Advising and Grants: While no formal students are listed, her leadership in major funded research projects indicates a supervisory role in training junior researchers. She has secured and contributed to significant research grants related to traffic safety monitoring and intervention evaluation. Labs and Teams: She is part of the Traffic Research Group at Aalborg University, collaborating closely with researchers such as H. Lahrmann, T.K.O. Madsen, and A.V. Olesen. The group conducts field studies, data linkage projects, and policy evaluations with national impact.

• Forest Economics
• Agrobiodiversity Management
• Forestry Efficiency Analysis
• +۲ مورد دیگر

Marietta Metzker is a researcher at the Institute of Agricultural and Forestry Economics within the University of Natural Resources and Life Sciences, Vienna (BOKU) . She specializes in Forest Economics , Agrobiodiversity Management , and Test Farm Network Analysis , with a focus on sustainable development and economic efficiency in agricultural and forestry sectors. University: University of Natural Resources and Life Sciences, Vienna (BOKU) School: Department for Economics and Social Sciences Department: Institute of Agricultural and Forestry Economics Email: marietta.metzker@boku.ac.at Research Interests center on developing economic frameworks for sustainable forestry, agrobiodiversity valuation, and data-driven agricultural management. Her work bridges ecological conservation with financial viability through test farm networks and efficiency metrics. Publication Trends show a consistent focus on Forest Economics (2018-2025), analyzing revenue models, efficiency indicators, and regional comparative studies across Austria and the DACH region. Key subfields include Timber Revenue Analysis , Forest Management Efficiency , and Agricultural-Biodiversity Integration . Projects include the EU-funded FARMER CLUSTERS FOR REALISING AGROBIODIVERSITY MANAGEMENT ACROSS EUROPE (2020-2025), where she contributes to sustainable agricultural practices.

• Commercial Law
• Corporate Governance
• Cybersecurity Law
• +۳ مورد دیگر

Elena Fatima Perez Carrillo is a Professor in the Department of Private and Corporate Law at the Faculty of Law, University of León. Her research focuses on commercial law, corporate governance, cybersecurity, and the intersection of technology with legal frameworks. Academic Rank: Professor Department: Private and Corporate Law School: Faculty of Law University: University of León Email: eperc@unileon.es Research Group: DERMER-E (Commercial Law) Her work explores corporate governance challenges in the digital era, including cybersecurity, AI integration in business, and financial regulation. She has contributed extensively to EU policy analysis, risk management frameworks, and sustainability in corporate law. Recent publications highlight trends in cybersecurity governance, AI applications in education, and financial regulation reforms. She has authored studies on digital resilience, corporate liability, and legal aspects of emerging technologies. Key Research Areas: Commercial Law, Corporate Governance, Cybersecurity Law, Financial Regulation, AI Governance Notable Contributions: Analysis of EU cybersecurity directives, AI in legal education, D&O insurance frameworks

• Databases
• Spatial Data Management
• Geospatial Systems
• +۳ مورد دیگر

Mohamed Sarwat is an Associate Professor at Arizona State University specializing in databases , spatial data management , and recommender systems . His research focuses on GeoSpark —a cluster computing framework for spatial data—and its extensions like GeoSparkViz for visualization and GeoSparkSim for traffic simulation. Key Contributions: LARS* (Location-Aware Recommender System), Horton* (Graph Reachability), Sindbad (GeoSocial Platform), and Riso-Tree (Graph Database Indexing) Research Themes: Integration of spatial/temporal data with machine learning, efficient indexing for big geospatial datasets, and scalable frameworks for mobility data science His work spans collaborations with 23+ co-authors across institutions like University of Minnesota, University of Melbourne, and University of Salzburg. Current projects emphasize GeoTorchAI —a spatiotemporal deep learning system—and mobility data science infrastructure.

• Industry 4.0
• Information and Communication Technology (ICT)
• Project Management
• +۴ مورد دیگر

Dr. Eng. Katarzyna Jasińska is affiliated with the Department of Management and Entrepreneurship at Wrocław University of Economics. Her work focuses on Industry 4.0, ICT sector dynamics, project management, and digital transformation. She has conducted extensive research on topics such as robotic process automation (RPA), AI implementation, and organizational adaptation to technological changes. Her research interests span across: Industry 4.0 adoption and its implications for businesses Digital transformation challenges in service and manufacturing sectors Project management methodologies in ICT enterprises RPA and AI integration in organizational processes Key contributions include case studies analyzing Polish companies' adaptation to Industry 4.0 post-pandemic challenges, cybersecurity frameworks, and innovative project management approaches. Her work emphasizes bridging the gap between technological innovation and practical implementation in real-world business contexts.

Panos Constantinidesمشاهده پروفایل

استاد

• Digital Transformation
• Digital Health
• Digital Platforms
• +۳ مورد دیگر

Panos Constantinides is a Professor of Digital Innovation at Alliance Manchester Business School, University of Manchester. He holds a PhD from the Judge Business School, University of Cambridge, and is a Fellow of the Cambridge Digital Innovation Centre. A co-founder of the European Digital Platforms Research Network (EU-DPRN), his research focuses on human-AI collaboration and digital platform governance. He has secured grants from the British Academy, Innovate UK, and UKRI, with publications in top-tier journals like Information Systems Research and MIS Quarterly . Education: PhD in Business (2005), Judge Business School, Cambridge MPhil in Business (2002), Judge Business School, Cambridge BSc in Computer Science (2000), New York University Research Interests: Exploring ethical and governance frameworks for AI integration in healthcare and autonomous systems Designing platform ecosystems resilient to crises like pandemics Advancing digital health through ecosystem approaches Studying innovation dynamics in decentralized systems Key Contributions: Authored Digital Transformation in Healthcare: An Ecosystem Approach (2023) Host of the Digital Podcast on YouTube/Spotify Advisor to corporations and policymakers on digital strategy Grants & Projects: Leading the £1.2M Applied AI and Quantum Technology in the Port Environment project (2024-2026) Recipient of British Academy grants (2015-2016) Co-PI on digital resilience research (2023) Labs/Initiatives: Principal Investigator at the Digital Futures Beacon Member of Christabel Pankhurst Institute Editorial roles at MIS Quarterly (2016-2025)

Tao Hongمشاهده پروفایل

استاد

• Energy Forecasting
• Power Systems Operations
• Renewable Integration
• +۷ مورد دیگر

Dr. Tao Hong is the Duke Energy Distinguished Professor and NCEMC Faculty Fellow at the Department of Systems Engineering and Engineering Management, University of North Carolina at Charlotte. He directs the Big Data Energy Analytics Laboratory (BigDEAL) and has been a Founding Chair of the IEEE Working Group on Energy Forecasting (2011-2019). Ph.D., Electrical Engineering & Operations Research (2010), NC State University M.S., Operations Research & Industrial Engineering (2008), NC State University B.Eng., Automation (2005), Tsinghua University His research focuses on Energy Forecasting with applications in power systems operations, renewable integration, risk management, and cross-sector forecasting for healthcare, transportation, and sports. He has led major Delivery point level load analysis (2017-present) Short-term probabilistic forecasting (2016) Demand response modeling using smart meter data (2014-2015) Dr. Hong's scientific contributions include 9+ journal articles on energy forecasting methodologies and 3 major forecasting competitions (GEFCom2012-2017, BigDEAL Challenge 2022). His work has been cited in leading journals like International Journal of Forecasting and IEEE Transactions on Smart Grid . Charlotte Business Journal Energy Education Leader of the Year (2017) IEEE PES PSPI Technical Committee Prize Paper Award (2016) As a dedicated educator , Dr. Hong has advised multiple PhD and Master's students including Shreyashi Shukla (2023), Yike Li (2022), and Jordan McCorey (2021). He teaches specialized courses in energy systems planning and computational intelligence.

• Digital Health
• Mobile Computing
• Human-Computer Interaction
• +۴ مورد دیگر

Katarzyna Wac is a researcher at the University of Geneva affiliated with the Faculty of Economics and Management and the Information Science Institute . Her work bridges Digital Health , Mobile Computing , and Human-Computer Interaction , focusing on leveraging wearable devices, smartphones, and AI for health and quality of life (QoL) quantification. Research Themes: Digital biomarkers for Alzheimer's and migraines, QoL assessment via ubiquitous computing, peer- and self-reported behavioral data, and QoE of mobile applications. Labs: Leads the mQoL Lab , a platform for interactive, mobile, and wearable-based studies. Her recent publications explore Transformer models for health data analysis, social robots in homecare, and ethical frameworks for digital mental health. She has contributed to standards for proxy-reported QoL measures and personalized drug delivery systems in digital health. The multimodal integration of emotional signals and context-aware QoS/QoE provisioning for m-health services are recurring technical themes. Key collaborations include the MobiHealth project and COPD24 , translating future internet technologies into telemonitoring solutions. Her work spans from foundational studies on mobile cognition to applied ambulatory assessment of affect and health risks.

• Forest Inventory and Monitoring
• LiDAR Technology Applications
• Forest Regeneration Quantification
• +۳ مورد دیگر

Tobias Ofner-Graff is a researcher at the Institute of Forest Growth within the Department of Ecosystem Management, Climate and Biodiversity at the University of Natural Resources and Life Sciences, Vienna (BOKU). Based at Peter-Jordan-Straße 82, 1190 Wien, his work focuses on advanced forest monitoring technologies. His research interests include: LiDAR and remote sensing applications in forestry Automated forest inventory systems Forest regeneration quantification Airborne Laser Scanning (ALS) data analysis Sustainable forest harvesting planning Recent project contributions include: Leading lidar-based forest monitoring systems development Developing spatial forest growth models Implementing digital inventory workflows His publications demonstrate expertise in: Quantifying forest resources through 3D point clouds Advanced timber stack measurement techniques ALS data integration for forest modeling Mobile laser scanning applications Forest climate adaptation strategies

• Transportation Systems
• Smart Cities
• Traffic Simulation
• +۳ مورد دیگر

Maria Paz Linares Herreros is a Lecturer at the Universitat Politècnica de Catalunya (UPC), affiliated with the School of Mathematics and Statistics (FME) and the Department of Statistics and Operations Research. She is a member of the IMP (Information Modeling and Processing) research group and collaborates with inLab FIB on intelligent transportation systems. Research interests: Transportation systems, smart cities, traffic simulation, data-driven modeling, environmental impact assessment Specializes in applying machine learning and simulation to urban mobility challenges Her recent publications focus on: Parking availability prediction using deep learning Traffic emission modeling linked to urban policies Dynamic ride-sharing system optimization Integration of IoT data in transportation planning Scientific recognition: Recipient of the IV International Award on Transport Infrastructure Management Research (2018) Active contributor to projects like CitScale and Virtual Mobility Lab Collaborator in European initiatives like KIC Urban Mobility

• Environmental Engineering
• Water Quality
• Plumbing Systems
• +۳ مورد دیگر

Andrew J Whelton is a Professor of Civil and Construction Engineering at Purdue University's College of Engineering, with concurrent appointments in Sustainability Engineering and Environmental Engineering. He serves as Director of the Healthy Plumbing Consortium and Lead for the Center for Plumbing Safety, focusing on water quality, chemical contamination, and public health in building plumbing systems. Professor, Civil and Construction Engineering Professor, Sustainability Engineering Professor, Environmental Engineering Director, Healthy Plumbing Consortium Lead, Center for Plumbing Safety His research spans environmental engineering and public health, with key themes including chemical contamination from plastic pipe degradation, post-disaster water system recovery, wildfire-related water quality impacts, and microbial risks in premise plumbing. Recent work addresses crises like the East Palestine chemical spill and Maui wildfires, while also developing predictive models for water quality and evaluating sustainable infrastructure materials. Scientific awards and recognitions include: Rapid Response Research (RAPID) Grants from NSF for disaster-related studies Environmental Protection Agency (EPA) support for building water quality programs Leadership in interdisciplinary consortia focused on plumbing safety Development of novel tools for water quality monitoring and remediation His publications reveal trends in: Chemical leaching from plastic piping materials Environmental justice in water contamination crises Integration of machine learning for water quality prediction Microbial ecology in stagnant plumbing systems Policy recommendations for disaster response Sustainable material innovation for infrastructure

• Hydrogen Energy Storage
• Negative Emissions Technologies
• Life Cycle Assessment
• +۷ مورد دیگر

Hanna Breunig is a Research Scientist at Lawrence Berkeley National Laboratory and Deputy of the Sustainable Energy & Environmental Systems Department. She holds a secondary appointment in the Earth Systems and Society Domain within the Climate and Ecosystem Science Division. Her work focuses on validating emerging energy technologies through process design, techno-economic modeling, and market analysis. Education: PhD in Civil and Environmental Engineering from UC Berkeley (2015), MSc (2011), and BSc from Cornell University (2010). Her research spans hydrogen storage , CO2 capture/utilization , brine management , and technoeconomic modeling for systems in data centers, hospitals, mines, aviation, and ports. She co-leads the DOE HyMARC consortium and the systems analysis team for the ARCHES California Hydrogen Hub. Recent publications highlight advancements in metal-organic frameworks (MOFs) for hydrogen storage, solar hydrogen production , and high-temperature thermal energy storage . She has received accolades like the 2023 Energy & Environmental Science Lectureship and 2014 Schmidt MacArthur Fellowship. Scientific Awards: 2023 Energy & Environmental Science Lectureship 2021 Early Scientific Career Award 2019 CEC Bioenergy Project Leadership 2017 LDRD Early Career Award 2014 Schmidt MacArthur Fellowship Hanna mentors graduate and undergraduate students and contributes to tools like the BioSiting v2 software for U.S. bioeconomy resource analysis.