جست‌وجوی استاد و پژوهشگر

Marek Więckowskiمشاهده پروفایل

استاد

• Political borders and cross-border cooperation
• Tourism geography
• Transport geography
• +۴ مورد دیگر

Professor Marek Więckowski serves as Head of the Department of Urban and Population Geography and Deputy Director for Scientific Affairs at the Institute of Geography and Spatial Organization of the Polish Academy of Sciences (IGiPZ PAN) in Warsaw. With a distinguished career spanning over three decades, he has established himself as a leading expert in border studies, tourism geography, and spatial development, particularly focusing on Central European border regions. His research interests center on political borders and cross-border cooperation, tourism geography, transport geography, spatial mobility, and regional development. Professor Więckowski's work demonstrates how geopolitical transformations, particularly Poland's integration into the European Union and Schengen area, have reshaped border regions and created new opportunities for cross-border cooperation and tourism development. His research methodology combines spatial analysis with historical and social perspectives to understand the complex dynamics of border regions. His scholarly output reveals a consistent focus on the transformation of border spaces, with particular emphasis on Polish-Slovak and Polish-German borderlands. The publication trend shows increasing attention to sustainable tourism development in border regions, the impact of geopolitical changes on spatial organization, and the evolving relationship between borders, heritage, and tourism. His most recent work explores cutting-edge topics such as border memorialization, the spatial dimension of tourism in the Anthropocene, and the tourism potential of border tripoints. 2004: Honorable Mention in the competition for the best textbook in Europe (4th place for the 'Odkrywamy Świat' geography textbook series) 2002: Scholarship from French Ministry of Science for post-doc at ENS-LSH (extended in 2003) 2000: Scholarship from MUG Commission on Population Geography for International Geographical Union Congress in Seoul 2000: Nomination for H. Steinhaus Award for popular science books ('Polskie naj...') 1994: Honorable Mention in Master's Thesis Competition of Polish Geographical Society 1984 & 1989: Laureate of Geography Olympiads (2nd and 4th place) Professor Więckowski has actively supervised numerous research projects focusing on cross-border cooperation, tourism development in border regions, and spatial planning. His international collaborations, particularly with French and Slovak scholars, have significantly contributed to the understanding of European border dynamics. He has also been instrumental in developing educational materials, including geography textbooks that received international recognition. His current research explores the intersection of geopolitical changes, environmental challenges, and tourism development in border regions, with increasing attention to sustainability and heritage preservation in the Anthropocene era.

Mustafa Alattarمشاهده پروفایل

استادیار

• Hydrology
• Water Resources Engineering
• Surface Water and Groundwater Interaction
• +۴ مورد دیگر

Mustafa Alattar serves as an Assistant Professor in the Department of Engineering at the American University of Iraq, Sulaimani (AUIS), where he has been employed since 2021. He holds a Ph.D. in Civil Engineering from Lehigh University (USA) and an M.A. from the University of Babylon. His academic qualifications include: Ph.D. in Civil Engineering, Lehigh University, USA M.A., University of Babylon, Iraq Dr. Alattar's research centers on hydrology with specialized focus on surface water-groundwater interactions, employing advanced modeling frameworks like MODFLOW-OWHM to analyze water budgets across the United States and Iraq. His work addresses critical water resource challenges including baseflow recession dynamics, groundwater mapping through multi-source data integration, and climate variable impacts on regional hydrology. Recent publications demonstrate increasing emphasis on Iraq's water systems, particularly groundwater dynamics in the Euphrates basin and climate analysis of precipitation-temperature patterns. His 11 publications from 2013-2024 reveal a clear research trajectory: early work focused on flood routing in Iraqi rivers using Saint Venant equations, evolving into large-scale US water budget modeling, and culminating in recent composite modeling approaches for baseflow analysis and Iraq-specific groundwater dynamics. The consistent thread is integrated hydrological modeling addressing both theoretical advancements (e.g., composite Boussinesq equations) and practical water management applications in data-scarce regions. No scientific awards are documented in the available information. The provided materials do not indicate any student advisees or research grant funding. Professional activities include membership in the American Geophysical Union where he presents research annually. Prior to AUIS, he served as research/teaching assistant at Lehigh University and the Institute of Technology in Baghdad, plus industry experience as a CAD Engineer for Nippon Koei Co., Ltd. on Iraqi infrastructure projects.

Hrushikesh Mallickمشاهده پروفایل

استاد

• Applied Macroeconomics
• Development Economics
• Public Finance
• +۳ مورد دیگر

Hrushikesh Mallick is a Professor at the Centre for Development Studies (CDS) in Thiruvananthapuram, India, specializing in Applied Open Economy Macroeconomics and Development Economics . He has been affiliated with CDS since 2006, previously serving as an Assistant Professor and Associate Professor. Ph.D. , Economics, ISEC, Bengaluru (2006) His research spans monetary policy , energy consumption , remittances , globalization , and environmental economics . He has contributed to journals like Energy Economics , Applied Economics , and Ecological Indicators , often collaborating with scholars such as Mantu Kumar Mahalik, Muhammad Shahbaz, and Sanjay Kumar Rout. His publications analyze India's macroeconomic policies , housing market dynamics , energy-growth linkages , and global spillover effects . He has also served on editorial boards of journals including Social Work and Social Welfare and Migration and Development . Editorial Board Member, Social Work and Social Welfare (2021) Editorial Board Member, Migration and Development (2015) Mallick teaches Public Economics and Issues in Public Finance , with a focus on empirical analysis using econometric techniques. His work provides policy insights for sustainable development in India and other emerging economies.

• Quantum Key Distribution (QKD)
• Optical Networking
• Network Planning and Optimization
• +۴ مورد دیگر

Mario Wenning is a Researcher at the Chair of Communication Networks (Technical University of Munich). He holds an M.Sc. in Communication Engineering from TUM (2020) and works as an external doctoral candidate while employed in ADVA's Advanced Technology group. B.Eng. in Medical Engineering from Baden-Württemberg Cooperative State University (2017) 2 years with Siemens Healthineers in MRI development Doctoral research at TUM since 2021 His research focuses on quantum key distribution networks , optical network planning , and data-driven network optimization . Key projects include: Quantum network management with dynamic routing Physical-layer-aware multi-band optical planning Long-haul QKD infrastructure development Recent publications in Journal of Optical Communications and Networking (2023-2025) address: QKD network security models Meshed network architecture Rate-adaptive transceiver optimization Trusted node deployment strategies Associated with multiple research initiatives: 6G Future Lab Bavaria DFG-funded projects (QCDE, SDN APP AWARE) EU 5GPPP VirtuWind BMBF SoftwareCampus program

Rui Zhangمشاهده پروفایل

دانشیار

• Quantitative methods
• Prescriptive analytics techniques
• Revenue management
• +۵ مورد دیگر

Rui Zhang is an Associate Professor in the Strategy, Entrepreneurship, and Operations division at Leeds School of Business, University of Colorado Boulder. He currently serves as the Faculty Director of the Master's Program in Business Analytics and previously directed the Ph.D. Program in Operations. He is also an Associate Editor for INFORMS Journal on Computing and Networks . Dr. Zhang's research focuses on quantitative methods, particularly prescriptive analytics techniques. His work spans three main application areas: revenue management problems, last-mile delivery optimization, and influence maximization on social networks. Methodologically, he employs integer programming, network optimization, and approximate dynamic programming to develop innovative solutions to complex operational challenges. His research portfolio shows a clear progression from fundamental network optimization problems to increasingly complex applications in business analytics. Recent work emphasizes autonomous vehicle-assisted delivery systems and sophisticated influence maximization models with practical constraints like latency requirements. His publications consistently appear in top-tier operations research journals including Operations Research , Manufacturing & Service Operations Management , and multiple INFORMS publications. Runner-up for the 2022 INFORMS Computing Society (ICS) Prize Multiple Best Paper awards As Faculty Director of the MS in Business Analytics program, Dr. Zhang oversees curriculum development and student mentorship in this rapidly growing field. His Erdős number is 3 (Paul Erdős → Daniel J. Kleitman → Bruce L. Golden → Rui Zhang), reflecting connections to foundational mathematical research. His work bridges theoretical optimization with practical business applications across multiple domains including e-commerce logistics, social media marketing, and revenue management systems.

Jose Paolo Talusanمشاهده پروفایل

پژوهشگر

• Smart Transportation Systems
• Cyber-Physical Systems
• Middleware
• +۴ مورد دیگر

Dr. Jose Paolo Talusan is a Research Scientist at the Department of Computer Science and Computer Engineering , Vanderbilt University, specializing in smart transportation systems , distributed computing , and cyber-physical systems . He is affiliated with ScopeLab , a research group focused on smart cyber-physical systems. Education: PhD from Nara Institute of Science and Technology, Japan (2020) Research Interests: His work addresses challenges in urban mobility through middleware architectures, optimization algorithms, and machine learning. Key areas include incident detection in transportation systems, privacy-preserving route planning, and vehicle-to-building charging optimization. Publication Trends: Recent publications focus on real-time transit optimization (2024-2025), leveraging reinforcement learning for heterogeneous agents in vehicle-to-building systems, and privacy-aware route planning in smart cities. His work integrates IoT , edge computing , and graph neural networks to tackle imbalanced data and sparsity issues in transit analytics. Labs & Teams: Actively contributes to ScopeLab at Vanderbilt University, collaborating on interdisciplinary projects with researchers in computer science, electrical engineering, and urban planning.

• Explainable Artificial Intelligence
• Machine Learning
• Data Clustering
• +۴ مورد دیگر

Nicolas Labroche serves as a Researcher in the Department of Computer Science at the Polytechnic School of the University of Tours. He is affiliated with the Fundamental and Applied Computer Science Laboratory of Tours (LIFAT) within the UFR of Sciences and Technology. His academic work spans multiple research domains with significant contributions to machine learning methodology and applications. His primary research focuses on Explainable Artificial Intelligence , particularly for medical applications where model interpretability is critical. He has pioneered methods in clustering of local attributive explanations and discernibility in medical ML models . Additional expertise includes exploratory data analysis through mathematical programming for comparison queries, time series forecasting for environmental monitoring, and preference-based explanations in recommender systems. His work bridges theoretical computer science with practical applications in healthcare, environmental science, and business intelligence. Analysis of his publication trends reveals consistent innovation in making data exploration more efficient and interpretable. Recent work emphasizes user-centric explainability (2024-2025), mathematical optimization for analytics (2022-2023), and synthetic data generation (2022). His research demonstrates strong interdisciplinary connections between computer science, medicine, and environmental science. His laboratory affiliation with LIFAT provides the infrastructure for his computational research. While specific grant details aren't public, his publication record indicates sustained research productivity across multiple European-funded projects focused on data science applications.

Xuanming Suمشاهده پروفایل

استاد

• Decision Processes
• Omnichannel Retail Operations
• Strategic Consumer Behavior
• +۳ مورد دیگر

Xuanming Su is the Murrel J. Ades Professor of Operations, Information and Decisions at the Wharton School, University of Pennsylvania. His research focuses on decision processes, omnichannel retail operations, strategic consumer behavior, and supply chain management with behavioral economics perspectives. Key research areas include game theory, bounded rationality, intertemporal pricing, and healthcare operations optimization Teaches OIDD2900 (Decision Processes) and OIDD9400 (Operations Mgmt) His work spans theoretical and applied domains, from modeling consumer stockpiling behavior to optimizing omnichannel retail strategies. Recent research examines social comparison effects in service operations and self-order technologies in multi-channel environments. Scientific awards include: Best Paper Award (Management Science, 2020 & Finalist 2019) NSF CAREER Award (2008-2013) MSOM Young Scholar Prize (2014) Wickham Skinner Early Career Award (2008) A specialist in strategic pricing and consumer behavior modeling, Prof. Su has published extensively in top journals while maintaining active research collaborations in operations management and behavioral economics domains.

Edward Hutchinsonمشاهده پروفایل

استاد

• Molecular Virology
• Influenza Virus
• Respiratory Viruses
• +۴ مورد دیگر

Edward Hutchinson is a Professor of Molecular and Cellular Virology at the University of Glasgow’s Centre for Virus Research (CVR) , focusing on influenza and respiratory viruses. He leads a multidisciplinary team integrating virology, molecular biology, mass spectrometry, and structural biology to unravel virion formation, infectivity, and host interactions. Education: PhD in Molecular Biology of Influenza at University of Cambridge (supervised by Paul Digard), Postdoctoral Research at University of Oxford (Ervin Fodor), and Junior Research Fellow at Worcester College (2010–2014). Grants: Principal Investigator for MRC, BBSRC, and Wellcome Trust-funded projects, including the Influenza Virus Toolkit and Virus Dashboards. Research Interests: Hutchinson’s work centers on the molecular mechanisms of influenza virus replication, virion heterogeneity, and host-pathogen interactions. His lab investigates cryptic protein production, superinfection exclusion, and filamentous virion formation, bridging basic virology with pandemic preparedness. Recent Publications: His 15 most recent articles (2025–2019) highlight trends in influenza virus stability, SARS-CoV-2 coinfection dynamics, proteomic analysis of virions, and public health applications of virology. Notably, his 2025 Nature Communications study on thermal inactivation of influenza in milk and 2023 Nature paper on BTN3A3 evasion mechanisms underscore his impact on zoonotic transmission research. Scientific Recognition: Awards include the Microbiology Society ’s 2021 Outreach Prize, 2008 Biosciences Federation New Researcher Communication Award, and 2007 Young Microbiologist of the Year. He serves on grant panels (BBSRC, Royal Society) and editorial boards (Journal of General Virology). Advising & Collaboration: Supervises four PhD students and has mentored numerous researchers who now hold roles in academia, industry, and healthcare. His lab collaborates on reagent sharing, public engagement, and international virology initiatives like ESWI. Labs & Teams: Based at the CVR, his group develops tools like the Influenza Virus Toolkit and hosts public outreach events via partnerships with The Glasgow School of Art, creating AR apps and educational materials to visualize viruses.

Steven Chamberlandمشاهده پروفایل

استاد

• Operations Research and Management Science
• Optimization
• Mathematical Modeling
• +۴ مورد دیگر

Steven Chamberland is a Full Professor at the Department of Computer Engineering and Software Engineering at Polytechnique Montréal. He serves as Director of Academic Affairs and Student Life at the institution. With a Ph.D. from Polytechnique Montréal, an MBA from HEC Montréal, and an MIR from Queen's University, his expertise combines engineering rigor with strategic academic leadership. Ph.D. (Polytechnique Montréal) MBA (HEC Montréal) MIR (Queen's University) B.Eng. (Polytechnique Montréal) Dr. Chamberland specializes in network design and optimization , particularly for wireless and vehicular communication systems. His work addresses critical challenges in network reliability, congestion management, and resource allocation across emerging technologies like SDN, IoT, and 5G/6G systems. He actively explores machine learning applications for network optimization and quality-of-service improvements. His recent publications focus on heterogeneous vehicular networks , with contributions to congestion avoidance mechanisms using neural networks, routing protocols for intelligent transportation systems, and network slicing techniques with generative adversarial networks. These works align with his broader research in mobile computing and smart city infrastructure . Dr. Chamberland has supervised over 8 Ph.D. and 12 Master's students , including notable graduates like Falahatraftar, El Garoui, and Jaramillo Herrera. His leadership extends to the LARIM Laboratory , where he contributes to mobile computing research. Despite extensive publications (>110), no specific scientific awards were mentioned in the provided texts.

Maurice Gagnaireمشاهده پروفایل

استاد

• Optical Networks
• Cloud Computing
• Internet of Things (IoT)
• +۷ مورد دیگر

Maurice Gagnaire is a Full Professor at Télécom Paris in the Computer Science and Networks (Infres) department, affiliated with the Networks, Mobility and Services (RMS) research team and the Information Processing and Communication Laboratory (LTCI). He has contributed extensively to optical network design, cloud computing, and network virtualization. Education: Engineering degree from Télécom SudParis, Master's in Computer Systems (Paris VI), Ph.D. (Télécom ParisTech), HDR (University of Versailles) Research Interests : His work focuses on translucent WDM networks , green networking , dynamic resource allocation , and physical layer impairments . Key projects include traffic grooming , failure detection , and energy-aware routing . Publications & Awards : He co-authored Springer's Traffic Grooming for Optical Networks and received the IBM Faculty Award 2014 . His research spans optical access systems , cloud brokering , and multi-layer traffic engineering . Scientific Honors: IBM Faculty award, Chevalier de l'Ordre des Palmes Académiques Academic Service : He served as expert for NSF (USA), IEEE, and ARCEP. His leadership includes coordinating the RMS research group and leading the Optimization and Networking Cluster.

• Ancient History
• Classical Studies
• Hellenistic Period
• +۴ مورد دیگر

Thomas C. Rose is an Associate Professor of Classics at Randolph-Macon College. His research focuses on political, religious, and military developments in the early Hellenistic period, cultural exchanges in ancient Sicily, and Greek topography. He emphasizes autopsia ('seeing for oneself') through fieldwork and study-travel programs in the Mediterranean. PhD in Classical Studies, University of Iowa (2015) MA in Classical Studies, University of Iowa (2010) MA in Ancient History, East Carolina University (2004) BA in History, University of North Carolina at Chapel Hill (2000) Dr. Rose's research explores the chaotic post-Alexander era, including provisioning strategies in Hellenistic warfare, Athenian revolts, and Plutarch's literary techniques. His fieldwork prioritizes physical engagement with ancient inscriptions and sites. His publications analyze military logistics, flagship design, and Macedonian court dynamics. Key themes include ancient communication routes, historical geography, and archaeological interpretation of sieges and fortifications.

• Internet of Things (IoT)
• Fog Computing
• Edge Computing
• +۱۶ مورد دیگر

Amir Taherkordi is a Professor in the Networks and Distributed Systems group at the Department of Informatics, University of Oslo, Norway. His research focuses on resource-efficiency, scalability, adaptability, and mobility in distributed systems for emerging technologies like IoT, Fog/Edge/Cloud Computing, and Cyber-Physical Systems (CPS). University: University of Oslo Department: Informatics Academic Rank: Professor His research spans IoT, Edge/Fog Computing, and Cyber-Physical Systems, emphasizing energy efficiency, privacy preservation, and self-adaptive architectures. Key areas include network traffic classification, computation offloading, and federated learning applications in vehicular systems. Recent publications highlight advances in latency-aware IoT data transmission , federated vehicular networks , energy-efficient wireless charging , and privacy-preserving data integration . These works often integrate machine learning with network optimization. Projects include the CPS Lab at UiO, DILUTE (Fluid Service Abstraction), and the Gemini Centre on IoT . He collaborates on initiatives like PACE for energy informatics curricula development.

Yafeng Yinمشاهده پروفایل

استاد

• Transportation Systems
• Sustainable Transportation
• Urban Infrastructure Systems
• +۵ مورد دیگر

Yafeng Yin is Professor of Civil and Environmental Engineering and Professor of Industrial and Operations Engineering at the University of Michigan, College of Engineering, where he serves as Donald Malloure Department Chair of Civil and Environmental Engineering and holds the Donald Cleveland Collegiate Professorship in Engineering. His educational background includes: PhD in Civil Engineering from University of Tokyo (2002) ME in Civil Engineering from Tsinghua University (1996) BE in Environmental Engineering from Tsinghua University (1994) BE in Structural Engineering from Tsinghua University (1994) Dr. Yin's research centers on developing sustainable and economically efficient transportation systems through analysis, modeling, design, and optimization. He investigates how emerging technologies—including connected/automated vehicles, electric vehicles, drones, and mobile sensing—impact transportation demand and supply. His work extends to interdependencies between transportation, power, and communications networks in urban infrastructure systems. Key focus areas include mobility services, ride-sourcing markets, traffic management, and integration of artificial intelligence in transportation. His recent publications (2023-2025) demonstrate a pronounced shift toward leveraging large language models and agent-based frameworks for transportation analysis, with significant emphasis on on-demand mobility services (ride-sourcing, food delivery), traffic control with connected vehicles, and economic implications of emerging technologies. The research spans theoretical foundations in game theory and optimization to practical applications in urban settings. As director of the Lab for Innovative Mobility Systems, Dr. Yin leads interdisciplinary research developing solutions that enhance transportation efficiency, reliability, safety, and service diversity through technological integration. His work bridges theoretical modeling with real-world implementation challenges in evolving transportation ecosystems.

• Wireless Communications
• Information Theory
• UAV Networks
• +۳ مورد دیگر

Dr. Yulin Hu serves as a Visiting Professor at RWTH Aachen University, holding the Chair of Information Theory and Data Analytics. His research program bridges theoretical foundations with practical implementations in next-generation wireless systems, with particular emphasis on UAV-aided networks and information-theoretic approaches to communication challenges. His core research interests span multiple interconnected domains: Wireless Communications (especially finite blocklength regimes) Information Theory applications in network design UAV trajectory optimization and network integration Wireless power transfer with nonlinear energy harvesting Edge computing and distributed learning systems Data analytics for network performance optimization Analysis of Dr. Hu's 2025 publication record reveals a concentrated research thrust on UAV trajectory design, where he develops joint optimization frameworks addressing energy efficiency, security, and reliability constraints. His work consistently integrates information-theoretic principles—particularly finite blocklength analysis—to solve practical challenges in ultra-reliable low-latency communications (URLLC) and wireless power transfer. A distinctive feature of his approach is the fusion of deep reinforcement learning with traditional optimization methods for dynamic network scenarios, including no-fly zone constraints and covert operations. While no specific scientific awards are documented in the available materials, his prolific output across top-tier venues demonstrates significant scholarly impact. Details regarding graduate student mentoring and research funding mechanisms remain unspecified in the current documentation. The Chair of Information Theory and Data Analytics, which Dr. Hu leads, functions as a specialized research unit focused on theoretical rigor and algorithmic innovation for wireless systems, though specific laboratory infrastructure or team composition details are not provided.