جست‌وجوی استاد و پژوهشگر

Anna Reifferمشاهده پروفایل

مدرس

• Activity-based modelling
• Time-use and activity patterns
• Commercial transport
• +۳ مورد دیگر

Dr. Anna Reiffer is a Lecturer at the Department of Civil, Environmental and Geomatic Engineering at ETH Zürich, affiliated with the Institute for Transport Planning and Systems (IVT). She holds a PhD in Civil Engineering (Karlsruhe Institute of Technology, 2024), an MSc in Mobility and Infrastructure (KIT, 2017), and a BSc in Civil Engineering (KIT, 2015). Her research focuses on activity-based modeling, commercial transport dynamics, and the interplay between travel behavior and health. Key projects include the FRESH initiative exploring the freight-shopping nexus in urban areas. Professional experience includes a postdoctoral role at ETH Zürich (2024–present) and research roles at KIT (2017–2024), with a visiting position at the University of Leeds (2022). Her work integrates agent-based models to simulate travel demand and parcel delivery systems, addressing challenges like e-commerce logistics and pandemic-driven telework trends. Teaching contributions include the course 'Transport Planning (Transportation I)'. Research interests span urban freight systems, sustainable mobility, and the application of data-driven methods to transportation policy.

• Transport and Logistics
• Spatial Data Analysis
• Road Safety
• +۶ مورد دیگر

Adrian Ellison is a Research Fellow at the Institute of Transport and Logistics Studies (ITLS) at the University of Sydney. He specializes in large dataset analysis, particularly spatial data, applied to transport and logistics challenges such as road safety and active travel. He teaches GIS for Transport and Logistics and manages the Travel Choice Simulation Laboratory (TRACSLab). His research includes developing web-based travel surveys and smartphone app integration. Ellison holds a PhD from the University of Sydney and has received the Eric Pas Dissertation Prize (2014). He has contributed to studies on electric vehicle feasibility, cycling infrastructure impacts, and driver behavior profiling. Education: BCom (Ryerson University), MCom/MLogMan, PhD (University of Sydney). Research focuses on spatial data analytics, big data applications in logistics, and road safety. His work intersects transportation, technology, and public health, with publications addressing pedestrian safety in smart cities, trip stop identification from smartphone data, and customer service analytics via social media. Grants include a 2020 project on Trust and Safety in Autonomous Mobility Systems. His awards highlight contributions to travel behavior research. Teaching includes courses on GIS and big data for transport researchers.

Fatma Gzaraمشاهده پروفایل

استاد

• Operations Research
• Large Scale Optimization
• Supply Chain Analytics
• +۵ مورد دیگر

Fatma Gzara is a Professor at the Department of Management Sciences, University of Waterloo, and co-founder/co-director of WANOPT (Waterloo Analytics and Optimization Lab). Her research focuses on supply chain analytics, large-scale optimization, and data-driven decision-making in logistics systems. She has led industry-funded projects with NSERC, OCE, MITACS, and collaborators like Bombardier and Unilever. Education: PhD in Management Science from McGill University (2003). Teaches courses such as MSCI 331 (Optimization), MSCI 734 (Network Models), and graduate seminars (MSCI 200A/B). Active in graduate student supervision. Research interests include optimization under uncertainty, drone delivery systems, hazmat transportation planning, and airline operations. Recent publications explore pandemic resource allocation, crowdsourced delivery economics, and urban UAV traffic management. Funding collaborations include NSERC grants for supply chain analytics and MITACS partnerships. WANOPT lab focuses on integrating analytics with optimization for large-scale systems.

Francesca Vocaturoمشاهده پروفایل

دانشیار

• Operations Research
• Logistics
• Optimization
• +۴ مورد دیگر

Francesca Vocaturo serves as Associate Professor of Operations Research at the University of Calabria's Department of Economics, Statistics and Finance (DESF), where she has maintained continuous academic affiliation since 2003. Her teaching portfolio includes Operations Research for Master's programs in Business Administration and Management, and Mathematical Methods for Economics for undergraduate Economics students, with documented teaching loads of 63+ hours annually through the 2024/25 academic year. Her research expertise centers on Logistics Optimization with specialized focus on stochastic vehicle routing, urban transportation systems, and crowdshipping applications. Key methodological contributions span combinatorial optimization, dynamic programming, and simulation-based approaches to solve complex logistics challenges under uncertainty. Current projects integrate machine learning with optimization frameworks for sustainable mobility solutions. Recent publication trends (2021-2025) reveal concentrated advancement in dynamic logistics systems , particularly crowdshipping models, real-time inventory routing, and risk-aware transportation planning. Her work bridges theoretical algorithm development with practical applications in postal services, hazardous material transport, and public transit optimization. Notable recognition includes: Editors' Choice Article selection by the European Journal of Operational Research (2020) She has supervised 26 Master's theses in Business Administration covering topics from inventory management to green logistics, plus the PhD dissertation of Sara Stoia on crowdshipping. As Local Coordinator for the national PRIN2020 project ULTRA OPTYMAL , she leads research on optimization under uncertainty for urban logistics, while previously contributing to projects like SOLIDO (industrial logistics) and GREENPLAN (workforce optimization). Vocaturo actively collaborates with the TESEO laboratory (Tecnologie di Simulazione e Ottimizzazione) and the Quantitative Methods for Economics, Finance and Management research group within DESF, maintaining international partnerships through research stays at the University of Montreal, University of Valencia, and teaching engagements in Portugal.

• Geodesy
• Astronomical Geodesy
• GIS
• +۷ مورد دیگر

Paul Daniel DUMITRU is an Assistant Professor at the Technical University of Civil Engineering Bucharest (UTCB), Faculty of Geodesy. With a PhD awarded in 2011, he has established himself as a prominent researcher in geodetic sciences, having won the UTCB Award for "Researcher of the Year at the Faculty of Geodesy" three consecutive years (2017-2019). His research focuses on: Geodetic network design (satellite, classical and combined) GNSS and classical geodetic measurements Permanent GNSS station networks Astro-geodetic measurements for vertical deviation determination Coordinate transformations and quasi-geoid modeling GIS database design and geodetic application development DUMITRU's recent publications reveal a strong focus on applying space geodesy to practical problems, with significant work on quasi-geoid modeling using GOCE mission data, validation of satellite radar interferometry for landslide monitoring in the Carpathian regions, and development of CCD-based instruments for vertical deviation measurements. His research demonstrates consistent innovation in measurement techniques with applications spanning disaster management, infrastructure protection, and precision agriculture. His scientific contributions have been recognized with multiple awards, including: UTCB Award for "Researcher of the Year at the Faculty of Geodesy" (2017) UTCB Award for "Researcher of the Year at the Faculty of Geodesy" (2018) UTCB Award for "Researcher of the Year at the Faculty of Geodesy" (2019) DUMITRU has managed research projects with competitive funding, having won 4 projects through competition (PNII, PNIII) as Project Director or Project Partner Responsible. His work spans geodesy, geospatial analysis, and the application of space technologies to practical problems in civil engineering, disaster management, and agriculture. He has developed applications to automate geodetic works using programming languages including C++, MATLAB, and Python, demonstrating strong technical skills alongside his domain expertise in geodesy.

Thomas Kirschsteinمشاهده پروفایل

استاد

• Logistics Management
• Supply Chain Sustainability
• Operations Research
• +۴ مورد دیگر

Introduction Prof. Dr. Thomas Kirschstein is a Professor at Martin Luther University Halle-Wittenberg (MLU), affiliated with the Faculty of Law, Economics and Business, and a researcher at the Center for Economics of Materials (CEM), Fraunhofer-Zentrum IMW. His work focuses on logistics, emission management, and robust statistical methods. He holds a PhD in Economics (2014) and a habilitation in eco-oriented logistics management (2020). Education 2002–2003: Diploma in Mathematics at MLU 2003–2008: Diploma in Economics at MLU 2014: PhD in Economics (thesis: 'Integrated Supply Chain Planning in Chemical Industry') 2020: Habilitation (thesis: 'Papers on the Eco-oriented Management of Logistics Operations') Research Interests Kirschstein's research integrates logistics and environmental sustainability, including emission reduction in freight transport, robust statistical methodologies, and supply chain optimization. His work combines simulation-based planning with empirical analysis, addressing challenges in complex production networks and intermodal transportation. Awards and Recognition Christian Wolff Award (2020) for habilitation thesis Werner Kern Award (2013/2014) for production management research Best Paper Award (2013) from the Faculty of Law and Business Administration Teaching and Academic Contributions He teaches courses in production management, logistics, and data science. Notable roles include: Lecturer: 'Production & Logistics' (2014–2019) Organized conferences like Logistics Management 2019 and Robust Statistics 2014 Labs and Collaborations Active collaborations with Dow Olefinverbund GmbH and Fraunhofer IMW, focusing on integrated logistics systems and robust estimator development.

Kai-Oliver Schockeمشاهده پروفایل

استاد

• Logistics
• Production Management
• Urban Logistics
• +۳ مورد دیگر

Prof. Kai-Oliver Schocke is the President of Frankfurt University of Applied Sciences (since 2023) and holds the rank of Professor of Logistics and Production Management in Faculty 3: Business and Law. He previously served as Dean of Faculty 3 (2019–2023) and has been a full member of the Ph.D. Center for Mobility and Logistics since 2021. His academic and administrative roles are complemented by leadership in research institutions such as the Center for Logistics, Mobility, and Sustainability (ZLMN) and the Research Lab for Urban Transport (ReLUT). Prof. Schocke’s research focuses on urban logistics, air freight, and digitalization, with projects funded by organizations like the German Federal Ministry of Transport and Digital Infrastructure (BMVI) and the BMBF. Notable collaborations include work with Fraunhofer IML, TU Darmstadt, and the House of Logistics and Mobility (HOLM) at Frankfurt Airport. His educational background includes a diploma in Industrial Engineering from TU Darmstadt and Université Louis Pasteur (Strasbourg), a doctorate in Economics from TU Darmstadt, and executive training at INSEAD. Research interests emphasize practical applications, such as optimizing urban delivery systems (e.g., LastMileTram, cargo bikes), analyzing air cargo logistics, and exploring Industry 4.0 technologies. His work bridges academia and industry, reflected in partnerships with companies like SAP and SALT Solutions. Awards include the GOR Science Award and recognition in national logistics competitions. Teaching spans bachelor’s and master’s programs in logistics, production management, and industrial engineering, with a focus on practice-oriented curricula. Over 95% of student theses are conducted in collaboration with businesses, fostering industry engagement. Key research outputs include monographs on Industry 4.0 and over 30 peer-reviewed articles in journals like OR Spektrum and the International Journal of Production Research. Prof. Schocke actively participates in conferences and advisory boards, contributing to initiatives like the European Summer University on Logistics, Mobility, and Sustainability. His leadership roles include membership in the Air Cargo Community Frankfurt and the German Association for Logistics (BVL).

• Australian History
• Mining History
• Queensland Local History
• +۵ مورد دیگر

Adjunct Professor Ruth Kerr is affiliated with the School of Historical and Philosophical Inquiry at the University of Queensland, specializing in the History discipline. Her academic position reflects deep engagement with Queensland's historical landscape, particularly through her contributions to mining heritage and local history research. Ruth Kerr's research centers on Australian history with a distinct regional focus on Queensland. She has pioneered studies in mining history, examining tramway systems, railway development, and mining communities across North Queensland. Her work extends to social history through investigations of religious communes like Pomona and Woolloongabba, while her biographical studies of figures such as John Moffat illuminate regional entrepreneurship. Kerr's scholarship consistently bridges institutional history (Royal Historical Society of Queensland) with tangible heritage sites. Her publication record from 2007-2016 reveals thematic continuity in documenting Queensland's physical and social infrastructure. Articles analyze electoral politics on goldfields, tramway boundaries, and fish habitat conservation, demonstrating interdisciplinary connections between transport history, environmental studies, and community development. This body of work establishes Kerr as a key chronicler of Queensland's regional identity. Ruth Kerr's scholarly recognition stems from her extensive publication record rather than formal awards. Her collaborative research projects, including studies on Pomona commune and Frank Olsen's conservation legacy, highlight her team-based approach. While student supervision details aren't publicly documented, her role in mentoring through historical societies remains significant.

Amar Hekaloمشاهده پروفایل

پژوهشگر

• Medical Image Processing
• Natural Language Processing (NLP)
• Information Extraction
• +۶ مورد دیگر

Amar Hekalo is a researcher at the Chair of Computer Science VI - Artificial Intelligence and Knowledge Systems (1992-2025) at the University of Würzburg , within the Faculty of Mathematics and Computer Science . Since November 2018, he has collaborated with the University Hospital of Würzburg to enhance medical documentation through speech/image processing , deep learning , and rule-based methods . Education: Master's degree in Physics His research focuses on automated image processing and NLP , covering information extraction , image classification , segmentation , object recognition , and medical applications . Recent work includes federated learning for private data reconstruction and AI applications in cardiac/radiological imaging. His publications reveal expertise in medical AI , particularly gastroenterology , cardiology , and radiology . He supervises Bachelor's and Master's students in AI applications for healthcare, logistics, and education. He contributes to open-source tools and actively seeks student assistants with Angular/NodeJS skills for radiology-focused documentation and e-learning tools.

Moataz Assemمشاهده پروفایل

پژوهشگر ارشد

• Cognitive Neuroscience
• Neuroanatomy
• Functional MRI (fMRI)
• +۷ مورد دیگر

Moataz Assem is a Wellcome Trust Early Career Fellow at the MRC Cognition and Brain Sciences Unit , University of Cambridge. Affiliated with the Cambridge Neuroscience network, his work focuses on the neural basis of human intelligence through advanced neuroimaging techniques. School: Clinical Medicine His research examines the multiple-demand (MD) cortical circuit —its anatomical precision, functional dynamics, and role in cognitive control. Using fMRI , intracranial EEG , and concurrent TMS-fMRI , he explores how this network organizes thoughts and behavior, including its interaction with sensory-biased regions. Key publications span 2025-2019 in journals like Neuropsychologia , Cerebral Cortex , and Trends in Cognitive Sciences , addressing topics such as domain-general vs. domain-specific brain regions , task coding , and neurostimulation protocols . His 2025 work reveals a patchwork organization of intelligence-related cortical regions. Scientific accolades include the Wellcome Trust Early Career Award (2024). Collaborators span institutions like Harvard , Washington University , and Stanford , with ongoing projects testing PhD candidates and postdocs in computational psychiatry and neuroimaging.

• Neuroanatomy
• Connectomics
• Neural circuits
• +۵ مورد دیگر

Professor Hong Wei Dong is a faculty member in the Department of Neurobiology at the David Geffen School of Medicine, University of California Los Angeles (UCLA). His research focuses on creating comprehensive connectome maps of the C57Bl/6 mouse brain to understand functional network organization and behavioral output mechanisms. He integrates Connectomics Genetics 3D high-resolution imaging Artificial intelligence to explore the fundamental architecture of the central nervous system. Key research directions include: Classification of mouse brain/spinal cord cell types through anatomic, molecular, and physiological properties Development of microscopy/histological technologies for human brain mapping at axonal resolution Application to neurodegenerative disease models (Alzheimer’s, Huntington’s) Recent publications highlight his work on: Visceromotor cortex networks High-resolution brain atlases Thalamic subnetworks Neuronal diversity analysis Advanced image processing tools Transsynaptic tracing methodologies Awardeeship highlights: Suzanne Eaton Memorial Prize Taylor M. Brown Memorial Award His lab develops scalable technologies like Gossamer for petabyte-scale image processing and Morphohub for multi-morphometry generation, while maintaining affiliations with UCLA Brain Research & Artificial Intelligence Nexus (B.R.A.I.N.) and NIH T32 training grants.

• Transportation and Distribution Logistics
• Operations Research
• Vehicle Routing Problems
• +۴ مورد دیگر

Nacima Labadie is a Full Professor at the University of Technology of Troyes (UTT), leading the Industrial Engineering department since 2018. She holds roles in academic governance, including membership in UTT's Scientific Council (since 2017) and the Computer Science and Digital Society Laboratory Council (since 2021). Her research focuses on Transportation and Distribution Logistics , Operations Research , and Numerical Optimization , with applications in vehicle routing problems, blood supply chains, and sustainable logistics. She pioneered the C2P Collaborative Network VRP and Grey Zone Two-Echelon VRP , addressing urban and eco-friendly delivery challenges. Her work spans metaheuristic algorithms (e.g., GRASP, Iterated Local Search) for stochastic optimization and supply chain design. Notable contributions include models for biomass supply chains, blood distribution systems, and decision support platforms like AidAdom for healthcare coordination. Recent publications emphasize low-emission logistics , urban traffic optimization , and multi-objective decision-making in complex networks. Her research integrates simulation tools (ARENA/CPLEX) and signal processing techniques for graph-based problems. As a department head, she oversees 300+ students and guides the Optimization and Systems Safety master’s program. Her work aligns with UTT’s strategic goals in Operational Research and Digital Society initiatives.

• Epilepsy
• Neuroengineering
• Neurosciences
• +۴ مورد دیگر

Dr. Hitten Zaveri is an Associate Professor of Neurology at Yale School of Medicine, serving as Director of the Computational Neurophysiology Laboratory and co-Director of the Yale Clinical Neuroscience Group for Neuroanalytics (YNN). His research focuses on understanding epilepsy mechanisms, developing implantable neurosensors, and advancing seizure prediction technologies. He holds advanced degrees in electrical engineering, biomedical engineering, and neurology. Education: PhD and MSEE from University of Michigan (Bioengineering/Electrical Engineering), with postdoctoral training at Yale University. Key affiliations include the Center for Brain & Mind Health, Epilepsy & Seizures Program, and Neurocritical Care teams. Research Interests: Interdisciplinary work at neuroscience-engineering interface, including seizure network dynamics, real-time brain monitoring systems, and closed-loop therapeutic devices. Active in consortia like IPSERC for post-stroke epilepsy research and collaborative projects with industry partners. Publications: Over 130 peer-reviewed articles focusing on seizure prediction algorithms, neurosensing technologies, and epilepsy pathophysiology. Recent work emphasizes multimodal brain monitoring systems and translational neuroengineering solutions. Labs: Leads Computational Neurophysiology Lab and co-directs BioSense Lab/YNN Group. Current projects include CMOS-based brain nanosensors and seizure onset zone localization techniques.

Jesper Mayntz Paaschمشاهده پروفایل

استاد

• Land Management
• Property Law
• Urban Planning
• +۳ مورد دیگر

Jesper Mayntz Paasch is a Professor at Aalborg University, affiliated with the Department of Sustainability and Planning within the Technical Faculty of IT and Design. His research focuses on land administration, property rights, and spatial data systems, with particular emphasis on 3D property formation, comparative legal frameworks, and the integration of Building Information Modeling (BIM) in property management. He has contributed to international projects, including studies on Swedish real property registration and vertical mixed-use developments across jurisdictions. His work bridges legal, technical, and spatial disciplines, addressing challenges in modern land management such as boundary determination, lifecycle processes, and 3D property rights. He actively participates in global academic networks, including the International FIG Workshops on Land Administration Domain Models. Research Highlights: 3D property rights, LADM implementation, comparative civil law analysis, BIM applications in property lifecycle. Collaborations: Engages with institutions like KTH Royal Institute of Technology and the University of Melbourne. Paasch has received a Best Paper Award (2021) for his research on BIM-based property formation processes. His contributions also extend to advising on PhD projects and serving in academic review committees and editorial boards.

• Property Law
• Eminent Domain
• Housing Law
• +۶ مورد دیگر

Carol Necole Brown is a Professor of Law at the University of Richmond School of Law , with a focus on property law, housing policy, and civil rights frameworks. Her scholarship bridges legal doctrine with socioeconomic impacts, addressing issues like gentrification, eminent domain, and subprime lending. Key affiliations: University of Richmond School of Law Research Interests: Dr. Brown specializes in Property Law , Eminent Domain , and Housing Equity . Her work explores intersections between governance , social justice , and land use through empirical and doctrinal lenses. Her recent publications (2025) examine civil rights defenses of gentrification and urban reinvestment strategies , while earlier works (2016–2014) analyze Kelo dissent , Lucas rule , and land development policies. Recurring themes include fair housing , zoning , and tax credit programs . Publications include co-authored textbooks like Landlord & Tenant Law in a Nutshell and Sum and Substance Quick Review on Property , alongside 17 scholarly papers on SSRN with 2,410 downloads and 7 citations. Notable collaborations include work with Dwight H. Merriam (land use) and Serena Maria Williams (adverse possession).