جست‌وجوی استاد و پژوهشگر

Marie-Ève Rancourtمشاهده پروفایل

استاد

• Humanitarian Logistics
• Operations Research
• Transportation Network Modelling and Optimization
• +۲ مورد دیگر

Marie-Ève Rancourt is a Professor at HEC Montréal, specializing in Logistics and Operations Management. She holds the Canada Research Chair in Humanitarian Supply Chain Analytics and is a member of the Interuniversity Research Center on Enterprise Networks, Logistics and Transportation (CIRRELT). Her expertise spans humanitarian logistics, operations research, transportation modeling, and supply chain management. Rancourt earned a PhD in Administration from HEC Montréal, an M.Sc. in Modeling and Decision from the same institution, and a B.Sc. in Mathematics from the Université de Montréal. Research Interests : Her work focuses on optimizing humanitarian logistics in disaster scenarios, including refugee resettlement, flood-prone shelter networks, and mobile clinic operations in conflict zones. She applies operations research to improve disaster response coordination and has pioneered tools like the HurricaneLog serious game for hurricane preparedness analysis. Her research also addresses global challenges such as rural supply chains in Tanzania and water access in Nepal. Recent Articles : Recent studies highlight her contributions to disaster resilience strategies, cost-sharing mechanisms for multi-country partnerships, and data-driven approaches to detect anomalies in humanitarian procurement. Her work bridges theoretical models with real-world applications, emphasizing collaboration between governments, NGOs, and international organizations. Awards : Recipient of the 2022 Chenelière Éducation/Gaëtan-Morin Research Prize for outstanding scholarly contributions to HEC Montréal. Supervision : Directed 5 Master’s theses and 12 supervised projects, covering topics like humanitarian supply chain ethics, wildfire evacuation processes, and vaccine distribution in remote regions. Labs/Teams : Leads research at CIRRELT and the Canada Research Chair program, fostering interdisciplinary collaboration on global humanitarian logistics challenges.

Magdalene Marinakiمشاهده پروفایل

پژوهشگر

• Optimization
• Optimal Control
• Nature Inspired Algorithms
• +۵ مورد دیگر

Magdalene Marinaki serves as a Researcher and permanent laboratory teaching personnel at the Technical University of Crete (TUC), School of Production Engineering and Management. She also teaches in the Hellenic Open University's Social Sciences Graduate Program. Her expertise lies in optimization methodologies, optimal control systems, and nature-inspired algorithms applied to logistics and manufacturing. She holds a Diploma, MSc, and PhD from TUC, specializing in Production Engineering and Management. Her research focuses on computational optimization, metaheuristics, vehicle routing problems (VRP), energy-efficient transportation systems, and structural control. She has authored 4 books and over 50 journal articles, with additional contributions to conference proceedings. Notable projects involve EU-funded research on blockchain applications in maritime logistics, electric vehicle routing, and unmanned aerial vehicle (UAV) path optimization. Her recent work emphasizes sustainable transportation solutions, including EV charging infrastructure planning and drone-integrated delivery networks. She has developed algorithms like teaching-learning-based optimization and hybrid swarm intelligence techniques, addressing real-world challenges in supply chain management and smart manufacturing systems.

Jie Liمشاهده پروفایل

مدرس ارشد

• Machine Learning
• Deep Learning
• Computer Vision
• +۴ مورد دیگر

Dr. Jie Li is a Senior Lecturer at Teesside University's School of Computing, Engineering and Digital Technologies, specializing in Cybersecurity & Networks. He holds a PhD in Fuzzy Interpolation Systems from Northumbria University (2018), with prior master's and bachelor's degrees from the same institution. His research focuses on Machine Learning, Deep Learning, Computer Vision, and Generative AI, with applications in healthcare, IoT, and cybersecurity. Key projects include the D-PRIV data anonymization system (Innovate UK-funded, £90K), SuDs flood monitoring collaboration (£400K), and MC-IoT IoT security initiative. He has industry experience as AI Lead at THERAPYAUDIT and CTO of NewApex Ltd., developing healthcare AI systems and the StreetAway mobile app. Dr. Li actively engages in academic service, serving on program committees for IEEE conferences and the NCSC Cyberfirst Schools Scheme. His current research explores generative AI for synthetic data and real-time system optimization, aiming to bridge academic research with industrial applications.

Suzanna Longمشاهده پروفایل

استاد

• Critical Infrastructure Systems
• Sustainable Infrastructures
• Strategic Management
• +۲ مورد دیگر

Suzanna Long is Professor and Dean of the College of Engineering at the University of Idaho. With a PhD in Engineering Management, she leads initiatives in infrastructure resilience and sustainable systems. Previously, she chaired Engineering Management at Missouri S&T and has secured $18M in research funding. Her research focuses on critical infrastructure resilience , sustainable development , and transportation safety , with emphasis on disaster response and climate adaptation strategies. Recent publications demonstrate strong trends in AI-driven flood prediction (45% of last 15 articles) and sustainability modeling (33%), leveraging machine learning for environmental risk mitigation. Awards: ASEM Sarchet Award, IISE Fellow (2020), ASEM Meritorious Service Award She collaborates on national projects including the $7M MidAmerica Regional Microgrid Consortium and leads engineering outreach programs across Idaho campuses.

Amir Behzadanمشاهده پروفایل

استاد

• Disaster Resilience
• Climate Change Adaptation
• Construction Safety
• +۵ مورد دیگر

Amir Behzadan is a Professor in the Department of Civil, Environmental and Architectural Engineering at the University of Colorado Boulder and a Fellow at the Institute of Behavioral Science (IBS), where he leads the Natural Hazards Center. He directs the Connected Informatics and Built Environment Research (CIBER) Lab, focusing on AI/ML solutions for disaster resilience, climate adaptation, and workplace safety. His work bridges societal needs and built/natural environments through human-centered technologies. Education: PhD in Civil Engineering, University of Michigan, Ann Arbor (2008) MS in Construction Engineering and Management, University of Michigan, Ann Arbor (2005) BS in Civil Engineering, Sharif University of Technology, Iran (2003) Research Interests: Disaster resilience, AI-driven flood mapping, construction safety, climate adaptation, and human-centered technologies. His lab develops affordable AI solutions for challenges like post-disaster debris estimation, urban flood depth mapping, and worker health monitoring. Key Contributions: Over 100 peer-reviewed articles, grants from federal/state agencies and industry, and leadership roles in editorial boards of Construction Engineering and Management (ASCE) and Smart and Sustainable Built Environment (Emerald) . Notable awards include the 2025 Faculty Fellow appointment and recognition for top-downloaded articles in prestigious journals. Awards: 2025 Faculty Fellow, University of Colorado Boulder 2024 Plenary Speaker, IAEM Annual Conference 2023 ASCE Journal of Engineering Mechanics "Editor's Choice" 2022 Second Place, ASCE Best Data Award 2019 Highly Cited Article, Journal of Advances in Engineering Software Grants & Collaborations: Supported by NSF, FEMA, and industry partners. Projects include AI for flood response, veteran employment studies, and immersive VR training systems. Leads interdisciplinary initiatives like the CIBER Lab's AI-empowered disaster resilience frameworks. Labs & Teams: CIBER Lab (director) focuses on AI for built environment challenges. Collaborates internationally with institutions like UNICAMP (Brazil) and Texas A&M. Hosts workshops on AEC education innovation and resilient cities.

• Wireless Communication
• Internet of Things (IoT)
• Network Protocols
• +۴ مورد دیگر

Jong-Deok Kim is an active researcher in wireless communication and IoT systems, with frequent collaborations on publications spanning dynamic channel bonding, network optimization, and low-power protocols. His work addresses challenges in Wi-Fi, LoRa, and millimeter-wave networks, focusing on throughput, latency, and reliability. Research Focus: Wireless networks, edge computing, and blockchain for IoT. Key Topics: Channel allocation, federated learning, and error compensation methods. His recent publications highlight trends in adaptive algorithms for dense networks, hybrid positioning systems, and federated learning applications. Awards and grants are not explicitly mentioned in the provided data.

Nynke Hofstraمشاهده پروفایل

استاد

• Environmental Management
• Water Quality
• Climate Change
• +۹ مورد دیگر

Prof. Nynke Hofstra is a Professor at Wageningen University, affiliated with the Earth Systems and Global Change Group. Her expertise spans environmental management, water quality, climate change, and interdisciplinary research. She holds a MSc (cum laude) in Environmental Sciences from Wageningen University and a D.Phil. from the University of Oxford. Education: MSc in Environmental Sciences (Wageningen University) D. Phil. in Environmental Science (University of Oxford) Research Interests: Focus on water quality modeling, microbial contamination in surface water, antibiotic resistance dynamics, and climate change impacts on water systems. She leads projects on nitrogen cycling, reservoir antibiotic modeling, and global waterborne disease scenarios. Her work integrates scenario analysis and spatial modeling to address SDG 6 goals. Projects: Includes the WaterPath toolkit for waterborne disease modeling, multi-pollutant assessments in China’s Three Gorges Reservoir, and antibiotic modeling in Indonesia’s Cirata Reservoir. She also explores climate adaptation strategies for sustainable water management. Professional Activities: Serves on the World Water Quality Alliance’s Advisory Committee and contributes to the ‘Samenwerkingsverband Rijn en Gelderse Vallei’. She teaches courses on circular economy, climate change mitigation, and water systems analysis. Labs/Teams: Leads the Earth Systems and Global Change Group, collaborating on initiatives like the GloWPa model for pathogen emissions and interdisciplinary water quality research.

• Supply Chain Management
• Operational Development
• Data Analysis
• +۵ مورد دیگر

Ola Johansson is a Senior Lecturer at the Faculty of Business, Kristianstad University. With over 10 years of academic experience, he bridges industry and academia, having previously worked at ABB and Ericsson in operational development roles focusing on Lean and Six Sigma methodologies. His research integrates data analysis, logistics systems, and sustainability, with a focus on supply chain management, recycling behavior, and IoT applications. He contributed to the SmartVA project (2021–2023), exploring real-time sewage water monitoring via IoT. Key research areas include: Supply Chain Optimization and Auto-ID Technologies Consumer Recycling Behavior Analysis Transportation Emissions Reduction Strategies IoT-Driven Environmental Monitoring Logistics Performance Benchmarking He has organized multiple conferences and workshops, including the RECS Workshop on Artificial Intelligence and IoT (2022) , fostering interdisciplinary collaboration. His work aligns with UN Sustainable Development Goals related to Industry, Innovation, and Climate Action. Notable projects include: SmartVA: Flood Risk Mitigation via Sewage Data Analysis Benchmarks for Auto-ID in Swedish Manufacturing (2009) IoT Applications in Waste Management (2006–2008) Publications span peer-reviewed journals like Benchmarking and Journal of Solid Waste Technology and Management , emphasizing empirical and simulation-based research. His teaching integrates interactive technologies, such as student response systems, to enhance learning outcomes.

Seyedali Mirjaliliمشاهده پروفایل

استاد

• Optimization
• Swarm Intelligence
• Evolutionary Algorithms
• +۶ مورد دیگر

Seyedali Mirjalili is a Professor of Artificial Intelligence and Director of the Centre for Artificial Intelligence Research and Optimization (AIRO) at Torrens University Australia. He holds distinguished professorships at VSB Technical University of Ostrava, Óbuda University, and De La Salle University, and is an adjunct researcher at Griffith University and Yonsei University. His research focuses on optimization algorithms, swarm intelligence, evolutionary computation, and machine learning. Education: PhD in Computer Science (Griffith University, 2016). Research interests include optimization techniques, swarm intelligence algorithms (e.g., Grey Wolf Optimizer, Whale Optimization Algorithm), machine learning applications, and robust optimization frameworks. He has published over 600 papers with an H-index of 110 and is among the most cited researchers in optimization fields globally. Awards include the Pro-Vice Chancellor Research Special Award (2019) and recognition as a top 1% highly cited researcher (since 2019). He serves as an associate editor for journals like Neurocomputing and Applied Soft Computing. Labs/Teams: Leads the AIRO Centre at Torrens University, focusing on AI-driven solutions for complex optimization problems.

Zhe Zhangمشاهده پروفایل

استادیار

• Geographic Information Science
• Cyberinfrastructure
• Geospatial Artificial Intelligence
• +۴ مورد دیگر

Dr. Zhe Zhang is an Assistant Professor in the Department of Geography at Texas A&M University and an affiliate faculty member in the Department of Electrical and Computer Engineering. She leads the Cyberinfrastructure and Spatial Decision Intelligence (CIDI-Spatial) research group and holds roles such as Director of the CIDI-Spatial Lab and Council Member of the Gulf of Mexico Coastal Ocean Observing System. Her research focuses on advancing cyberinfrastructure, geospatial data science, and decision support systems to address complex human-environment interactions, sustainability, and disaster resilience. She has secured over $18 million in research grants from NSF, NOAA, NASA, and others. Education: Doctor of Science (Geoinformatics), Aalto University, Finland (2016) Master of Science (Geomatics), Helsinki University of Technology, Finland (2009) Bachelor of Environmental Engineering, Tampere University of Applied Sciences, Finland (2005) Research Interests: Dr. Zhang's work intersects GIScience, decision science, and cyberinfrastructure. Key areas include cyberGIS, geospatial AI, human-centered decision-making, spatial uncertainty modeling, and disaster management. She develops scalable decision support systems for applications like flood emergency management, sustainable fisheries, and urban resilience. Awards: NSF CAREER Award (2023) UCGIS Community Champion Award (2022) Multiple NSF grants including CyberTraining and ACES initiatives Grants & Advising: Current NSF grants include $568K for coastal resilience (CAREER) and $455K for disaster management workforce development. She actively advises graduate students in GIS, spatial analytics, and data science. Notable student achievements include winning Texas A&M data science competitions and securing roles at ESRI and GCOOS. Labs & Teams: The CIDI-Spatial Lab focuses on cyberGIS tools and spatial decision support. Collaborations include NASA-funded heat vulnerability analysis in Oklahoma City and NOAA-funded coastal resilience projects. The lab also engages in K-12 education programs like the Texas Youth Geography Network.

Joseph Manningمشاهده پروفایل

استاد

• Ancient History
• Ptolemaic Egypt
• Economic History
• +۷ مورد دیگر

Joseph Manning is a Professor in both the Departments of Classics and History at Yale University, and a Senior Research Scholar at Yale Law School. He holds the William K. and Marilyn Milton Simpson Professorship in Classics. His research focuses on Hellenistic history, particularly the legal and economic history of Ptolemaic Egypt, governance, and the integration of paleoclimatology into ancient economic studies. He is a key member of interdisciplinary teams studying volcanic impacts on Nile hydrology and Mediterranean climate history. Education: BA (1981, Ohio State University), AM and PhD (1992, University of Chicago). Before Yale, he taught at Stanford University and Princeton University. Research interests include Papyrology, socio-economic institutions in antiquity, and applying economic sociology to ancient history. Current projects explore climatic drivers of societal change in Egypt and the Mediterranean, extending from the Ptolemaic period through Late Antiquity. Manning co-edits Law and Society in Egypt and contributes to Seshat: Global History Databank . His articles analyze climate-ancient society interactions, economic history, and legal systems. Collaborative work with climatologists highlights interdisciplinary approaches to historical inquiry. Labs/Teams: Part of Yale’s Program in Economic History and climate research teams investigating volcanic eruptions’ impacts on Nile dynamics and regional stability.

Erik Pollمشاهده پروفایل

دانشیار

• Software Security
• Formal Methods
• Secure Input Handling
• +۷ مورد دیگر

Erik Poll is an Associate Professor in the Digital Security (DiS) research group at the Institute for Computing and Information Science (ICIS), part of Radboud University's Faculty of Science. His work focuses on software security through formal methods and rigorous engineering approaches, addressing vulnerabilities in protocols like TLS, SSH, and payment systems (EMV, EV charging). He also explores applied security in smartcards, RFID, TEEs, and industrial IoT standards (OPC-UA). Research Interests: Core areas include secure input handling (LangSec), fuzzing techniques, cryptographic protocol analysis, and critical infrastructure security. He has pioneered protocol state fuzzing for analyzing implementations of OpenVPN, SSH, and TLS. Applied work spans smart grid security, automotive systems, and privacy in digital identity wallets. Teaching: Leads courses on Web Security, Software Security, and Security Protocol Projects in Radboud's Cyber Security and Software Science programs. Organizes the NymaCon hacking competition and maintains materials for cybersecurity education in Dutch high schools. Advising & Grants: Currently supervising four PhD students (listed above). Principal investigator on projects like Find2Fix (NWO 2025-2029), NOLAI (2022-2032), and INTERSECT (2020-2028). Collaborates with Dutch cybersecurity organizations like ACCSS and OWASP Netherlands. Labs/Teams: Active in ICIS's Digital Security group, leading the confidential contact team for PhD students. Co-developed open-source smartcard tools and contributes to standards like the Dutch National Cyber Security Research Agenda (NSCRA III).

• Cyber Security
• Internet-of-Things (IoT)
• Wireless Communication Networks
• +۱۲ مورد دیگر

Dr. Md Arafatur Rahman is a Senior Lecturer in Cyber Security at the School of Engineering, Computing & Mathematical Sciences, Faculty of Science and Engineering, University of Wolverhampton, UK. He previously served as an Associate Professor at Universiti Malaysia Pahang and holds a PhD from the University of Naples Federico II, Italy. He is a Senior Member of IEEE and a Fellow of the Higher Education Academy, with international recognition including the Royal Academy of Engineering Global Talent endorsement. PhD in Electronic and Telecommunications Engineering, University of Naples Federico II, Italy Former Associate Professor, Universiti Malaysia Pahang Postdoctoral Research Fellow, University of Naples Federico II Visiting Researcher, Sapienza University of Rome Dr. Rahman’s research focuses on cutting-edge domains in cyber-physical systems and connectivity. His primary interests include Internet-of-Things (IoT) , Wireless Communication Networks , Cognitive Radio , 5G , Vehicular Communication , Cloud-Fog-Edge Computing , Machine Learning , and Cyber Security . His work bridges theoretical innovation with real-world applications in smart cities, energy-efficient infrastructure, and disaster response systems. The recent publications reflect a strong trend toward intelligent, secure, and scalable systems. Key themes include IoT-enabled smart infrastructure , fog-edge computing for real-time analytics , machine learning in network optimization , and secure data handling in cyber-physical systems . His work frequently appears in top-tier journals like IEEE Transactions and Elsevier journals, emphasizing both technical innovation and societal impact. World Top 2% Scientists List (Stanford University, 2019–2021) Best Paper Award, ICNS’15 (Italy) Best Innovation Award & Gold Medal, MTE 2020 Gold & Silver Medals, iENA’17 Germany Diamond & Gold Medal, BiS’17 UK Best Supervisor Award, UMP Higher Education Academy (HEA) Fellowship IBM Center of Excellence Fellow Royal Academy of Engineering Global Talent (Exceptional Talent, 2022) Dr. Rahman has supervised over 30 students at B.Sc., M.Sc., and PhD levels and led numerous international research grants from UK, EU, Italy, and Malaysia. He has collaborated with industry partners such as FUSI Technology Indonesia, developing commercializable innovations. He serves as an editor and guest editor for journals including IEEE Access and Frontiers in the Internet of Things, and has held leadership roles in major conferences like IEEE Globecom and IEEE DASC. He is actively involved in research labs focusing on IoT, wireless security, and smart infrastructure, contributing to both academic and industrial advancements.

Erick Alfons Lisanganمشاهده پروفایل

مدرس

• Intelligent Transportation Systems
• Artificial Intelligence
• Deep Learning
• +۵ مورد دیگر

Erick Alfons Lisangan is a Computer Science lecturer at Atma Jaya University of Makassar and a Doctor of Philosophy student at the University of Western Australia's School of Physics, Mathematics and Computing. His research integrates artificial intelligence with transportation infrastructure to address urban mobility challenges. Education Master of Computer Science, Gadjah Mada University (2013-2015) Bachelor of Computer Science, Atma Jaya University of Makassar (2006-2010) Research Interests His core focus lies in Intelligent Transportation Systems , analyzing graph traffic networks and spatiotemporal data collection. He develops algorithms for real-time traffic condition inference using embedded systems and AI-driven simulation. Specialized work includes deep learning architectures (LSTM/BiLSTM) for passenger flow prediction, fuzzy logic systems for dynamic route optimization, and wireless sensor networks for smart city applications like flood detection. His research bridges theoretical AI with practical urban infrastructure solutions. Research Output Trends Publications (2018-2025) reveal a trajectory from foundational smart city sensor networks toward advanced AI-driven transportation modeling. Recent work emphasizes hybrid deep learning for Transjakarta bus system prediction, while earlier contributions established fuzzy ant colony systems for traffic-responsive routing and image-based fake news detection frameworks. Advising and Grants Lisangan serves as a casual tutor for Data Structures & Algorithms and Computational Thinking with Python at UWA during his PhD studies. No formal advisees or research grant details are documented in the provided materials. Labs and Teams His doctoral research operates under supervision of Professor Rachel Cardell-Oliver and Professor Amitava Datta at UWA, contributing to intelligent transportation systems research groups with cross-institutional collaborations in Indonesia and Australia.

• Reservoir Characterization
• Carbon Sequestration
• Geothermal Energy
• +۵ مورد دیگر

Ramachandrudu Arasada serves as a Postdoctoral Fellow at the Bureau of Economic Geology (BEG), part of the Jackson School of Geosciences at the University of Texas at Austin. His research spans critical energy and environmental geoscience domains including reservoir characterization, carbon sequestration, and geothermal systems. His research focuses on energy transition technologies with emphasis on CO2 storage security, hydrogen infrastructure, and unconventional resource recovery. Key projects involve developing novel carbon storage incentive frameworks, optimizing formate-alternating-gas injection methods, and analyzing seismotectonic risks in hydrocarbon basins. His work bridges fundamental geoscience with practical energy-water nexus challenges. Analysis of recent publications reveals strong trends in geological carbon management (60% of output), energy-water interdependencies (25%), and advanced reservoir characterization (15%). His research consistently integrates field data with computational modeling, particularly in CO2 sequestration optimization and induced seismicity assessment. Arasada contributes to major BEG consortia including the Gulf Coast Carbon Center (GCCC) and Center for Injection and Seismicity Research (CISR), focusing on subsurface energy systems where geoscience intersects with energy security and environmental stewardship.