جست‌وجوی استاد و پژوهشگر

Tushar Apurvمشاهده پروفایل

استادیار

• Hydraulics
• Water Resources Engineering
• Drought risk management
• +۳ مورد دیگر

Tushar Apurv serves as an Assistant Professor in the Department of Civil Engineering at the Indian Institute of Technology Kanpur (IIT Kanpur), specializing in Hydraulics and Water Resources Engineering. His academic credentials include a PhD from the University of Illinois Urbana-Champaign (2020), an M.Tech from IIT Kanpur (2015), and a B.Tech from IIT Guwahati (2013). Dr. Apurv's research program addresses critical challenges in water resource management under changing climatic conditions. His work spans drought risk management, hydro-climatology, water resources systems analysis, and hydrologic modeling, with publications appearing in high-impact journals such as Water Resources Research, Journal of Hydrometeorology, and Geophysical Research Letters. His scholarly contributions demonstrate a consistent focus on understanding drought patterns, severity, and propagation across different geographical regions including the United States and China. His research integrates climate science with hydrological principles to develop more robust water resource management strategies that account for climate variability and change. Dr. Apurv has received recognition for his scholarly work through the Water Resources Research Editor's Choice Award (2017) from the American Geophysical Union and an Academic Excellence Award from IIT Kanpur (2015). As an educator at one of India's premier technical institutions, he contributes to developing the next generation of water resource specialists through teaching and mentorship in civil engineering.

Weibing Gongمشاهده پروفایل

استادیار

• Climate change-related hazards
• Seismic hazards
• Infrastructure resilience against natural hazards
• +۳ مورد دیگر

Weibing Gong is an Assistant Professor of Geological Engineering in the Department of Geosciences and Geological and Petroleum Engineering at Missouri University of Science and Technology (Missouri S&T), affiliated with the Center for Intelligent Infrastructure in Rolla, Missouri. His educational background includes: Ph.D. in Geosystems Engineering, University of California, Berkeley (2023) M.S. in Geotechnical Engineering, Tongji University (2018) B.S. in Civil Engineering, Central South University (2015) Dr. Gong's research centers on natural hazard mitigation , with emphasis on climate change impacts , seismic resilience , and AI-driven infrastructure monitoring . His work integrates remote sensing and machine learning to enhance geological engineering solutions, particularly for landslide prediction and pavement systems, while exploring emerging applications in carbon capture technologies. Analysis of his 2023-2025 publications reveals a pronounced shift toward physics-informed AI for geotechnical challenges, featuring recurrent themes in regional landslide modeling (especially in Puerto Rico and Greece), dynamic pavement response under traffic loads, and unsaturated soil mechanics . This interdisciplinary approach bridges computational science, civil engineering, and environmental systems through advanced numerical frameworks. Dr. Gong actively contributes to Missouri S&T's Center for Intelligent Infrastructure, focusing on developing next-generation methodologies for infrastructure resilience against natural hazards through computational innovation and field-based validation.

Sanjay Madriaمشاهده پروفایل

استاد

• Cybersecurity
• Sensor Cloud Computing
• Delay-Tolerant Networks
• +۵ مورد دیگر

Sanjay Madria is a Curators’ Distinguished Professor in the Department of Computer Science at Missouri University of Science and Technology. His research spans mobile and sensor computing , machine learning , cloud security , and blockchain , with applications in underground mining safety , UAV systems , and disaster response . PhD: Indian Institute of Technology, Delhi (1995) His work integrates secure sensor cloud architectures , delay-tolerant network optimization , and AI-driven risk assessment . Recent publications focus on UAV swarm detection , reinforcement learning for mining environments , and privacy-preserving social media analytics . Scientific Awards include IEEE Best Paper Awards , NRC Fellowships , and JSPS Fellowship . Funded by NSF , NIST , DOE , Honeywell , and Boeing . He contributes to IEEE/ACM Distinguished Speaker programs and leads the Center for Intelligent Infrastructure at Missouri S&T.

Guirong Yanمشاهده پروفایل

استادیار

• Structural Engineering
• Disaster Recovery
• Wind Engineering
• +۴ مورد دیگر

Guirong Yan is an Assistant Professor at Missouri University of Science and Technology, affiliated with the Department of Civil, Architectural and Environmental Engineering. Her research focuses on structural engineering , wind engineering , and disaster resilience , with particular emphasis on tornado impact analysis, typhoon wind field modeling, and community recovery frameworks. Research interests include: Tornado-structure interaction using CFD simulations Surface roughness and terrain effects on extreme wind dynamics Community resilience modeling for post-disaster recovery Solitary wave energetics in coastal engineering 3D concrete printing for resilient infrastructure Windborne debris and wind tunnel validation Key article trends show computational fluid dynamics applications to tornado and typhoon hazards , wind-structure interaction , and community recovery mechanisms . Her work bridges engineering simulation , disaster risk assessment , and policy-relevant resilience strategies .

• Geo-AI (Geospatial Artificial Intelligence)
• XR (Extended Reality)
• Machine Learning
• +۶ مورد دیگر

Dr. Abolghasem Sadeghi-Niaraki is an Associate Professor in the Department of Computer Science and Engineering at Sejong University's College of Engineering, where he has served since 2017. He leads the eXtended Reality (XR) Research Center and holds a Research Professor position at the Super-Realistic XR Technology Research Center (2022-2030). Previously, he was an Assistant Professor at INHA University's Department of Geo-Informatics Engineering (2009-2017). Recently appointed as a Fellow at Harvard University's Spatial Data Lab (SDL), he conducts collaborative research in spatiotemporal data analytics and geo-AI. Dr. Sadeghi-Niaraki's research spans Geo-AI, XR technologies, Machine Learning, Metaverse applications, and IoT. His work focuses on applying AI to geospatial problems, developing immersive technologies for education and cultural heritage, and creating predictive models for natural hazards. He has secured significant funding for XR Metaverse research from the Ministry of Science and ICT, focusing on Real-Virtual integration. His interdisciplinary approach combines computer science with environmental science, urban planning, healthcare, and education. His research portfolio demonstrates strong trends in geospatial AI applications for environmental monitoring, particularly in natural hazard prediction (floods, wildfires, earthquakes), as well as innovative educational applications of VR/AR. Recent work shows increasing integration of large language models with immersive technologies and a growing focus on healthcare applications within virtual environments. Dr. Sadeghi-Niaraki has received significant recognition including: Top 2% Scientist Worldwide (Stanford-Elsevier 2024) Fellow at Harvard SDL, Center for Geographic Analysis Australian Endeavour Fellowship Recipient Member of IEEE & AAG (American Association of Geographers) He has led over $9.3 million in research funding, supervised 40+ Master's and 6+ Ph.D. students, and collaborated with 14 universities across 8 countries in immersive technology development. His laboratory work centers on the eXtended Reality Research Center at Sejong University, where his team develops patented methods for context-aware AR/VR systems applied to tourism, cultural heritage, and smart city planning.

James D. Brooksمشاهده پروفایل

استاد

• Human-Automation Interaction
• Control Systems
• Queueing Theory
• +۳ مورد دیگر

James D. Brooks serves as Chair and Professor in the Department of Electrical and Computer Engineering at Grove City College, leveraging 17 years of industry experience from GE Transportation and GE Research to bridge academic theory with real-world engineering applications. His educational credentials include: Ph.D. in Systems Engineering, Rensselaer Polytechnic Institute M.S. in Electrical and Computer Engineering, Georgia Institute of Technology B.S. in Electrical Engineering, Grove City College Research centers on human-automation interaction (examining how control system design impacts operator trust and performance) and queueing systems with human agents (developing mathematical models for systems like hurricane debris removal). This work integrates control theory, human factors, and operations research to solve complex socio-technical problems in transportation and disaster response. Recent publications (2023-2025) reveal dominant trends in railroad automation, with emphases on adaptive vehicle control, distributed systems coordination, safety protocol implementation, and human-machine interface optimization. Key subfields span autonomous train handling, energy management, real-time decision support, and cognitive workload reduction. Notable achievements include: Over 30 issued U.S. patents in vehicle and building automation systems He actively mentors students through senior design projects and industry-collaborative research, emphasizing curiosity, integrity, and deep system understanding. His industry partnerships with Wabtec and legacy GE entities provide students with direct exposure to autonomous vehicle development and building automation challenges. Research initiatives focus on translating theoretical models into deployable solutions, particularly through simulation platforms for industrial prototyping and human factors integration in railroad control systems.

• Volcanology
• Magma Petrology
• Eruption Dynamics
• +۳ مورد دیگر

Yuki Suzuki is a Professor in the Department of Earth Sciences, Resources and Environmental Engineering at Waseda University's School of Education. She holds a Doctor of Science degree from the University of Tokyo and serves as a visiting researcher at the University of Tokyo's Earthquake Research Institute. Her academic career includes positions as Associate Professor at Waseda University (2017-2023) and research roles at the University of Tokyo. Professor Suzuki specializes in volcanology, with research interests focused on volcanic ash characterization, magma dynamics, eruption processes, and disaster prevention engineering. Her work combines field observations, petrological analysis, and experimental approaches to understand magma ascent, eruption triggering mechanisms, and volcanic hazard assessment. She has made significant contributions to understanding the 2011 Shinmoe-dake eruption, Haruna volcano's history, and Sinabung Volcano's ongoing activity. Her recent publications demonstrate a consistent focus on eruption dynamics, with particular attention to the relationship between magma properties and eruption styles. She has developed innovative methods for analyzing volcanic ash color systematics and microlite textures to monitor ongoing eruptions. Her research bridges fundamental volcanology with practical applications for volcanic hazard mitigation. Research Grant Review Committee Award (2017) Volcanological Society of Japan Research Encouragement Award (2008) Professor Suzuki actively contributes to volcanic monitoring and hazard assessment through numerous committee memberships including the Japan Meteorological Agency Volcanic Eruption Prediction Liaison Committee and the Ministry of Education, Culture, Sports, Science and Technology's Volcanic Research Promotion Headquarters. She leads the Next Generation Volcanologist Training Program and has secured multiple research grants focused on magma dynamics and eruption processes. Her teaching encompasses volcanology courses at both undergraduate and graduate levels, including specialized seminars on petrology and volcanology.

Hossein Ataeiمشاهده پروفایل

استاد بالینی

• Construction Engineering and Management
• Forensic Engineering
• Construction Claims
• +۴ مورد دیگر

Hossein Ataei serves as Clinical Professor and Director of both the Undergraduate Studies and Construction Engineering and Management Program within the Civil, Materials, and Environmental Engineering Department at the University of Illinois Chicago's College of Engineering. A registered Professional Engineer in multiple US states and Canadian provinces, he brings extensive industry experience from global engineering-procurement-construction firms to his academic roles. His educational background includes a PhD in Civil Engineering from the University of Southern California, complemented by Master of Business Administration from Concordia University, Master of Construction Management, and Master of Science in Civil Engineering from USC, plus a Bachelor of Science from Sharif University of Technology. This multidisciplinary foundation supports his research in construction management, forensic engineering, and professional ethics. Ataei's scholarly work demonstrates strong focus on construction claims resolution, pandemic impacts on infrastructure projects, and sustainable building practices. His recent publications increasingly integrate machine learning with traditional construction management challenges, particularly in dispute prediction and energy efficiency optimization. This evolving research trajectory reflects industry shifts toward data-driven decision making while maintaining core commitments to ethical practice and risk management. His scientific recognition includes being named 2021 Construction Engineering Person of the Year by ASCE Illinois Section and receiving multiple UIC College of Engineering teaching and advising awards. Additional honors comprise the Harold A. Simon Award for Teaching Excellence and several University-wide teaching recognition awards. Fellow of the American Society of Civil Engineers (F.ASCE) 2021 Construction Engineering Person of the Year Award (ASCE-IL) 2022 Harold A. Simon Award for Teaching Excellence Multiple UIC Teaching and Advising Awards (2018-2024) 2017 Dean's Award for Excellence in Engineering Education As ABET Accreditation Program Evaluator for Civil and Construction Engineering programs, Ataei significantly contributes to educational standards nationwide. His leadership extends to ASCE national committees where he co-chairs major conferences and serves on forensic engineering and claims resolution subcommittees, demonstrating sustained commitment to advancing both academic and professional practice standards. Through the Construction Management Association of America UIC Chapter and active industry consulting, Ataei maintains strong connections between academic research and real-world infrastructure challenges, particularly in construction claims management and forensic investigation of structural failures.

Bryan T. Adeyمشاهده پروفایل

استاد

• Infrastructure Management
• Systems Engineering
• Risk and Resilience Analysis
• +۵ مورد دیگر

Prof. Dr. Bryan T. Adey is a full Professor at the Swiss Federal Institute of Technology in Zurich (ETHZ) within the Department of Civil, Environmental and Geomatic Engineering . He directs the Institute for Construction and Infrastructure Management and leads the Masters Spatial Planning and Infrastructure Systems program. His research focuses on improving infrastructure management through process standardization, automation, and optimization for systems like road networks, rail networks, and water distribution networks. Specializes in infrastructure resilience and post-disaster recovery Active participant in European research projects (e.g., Destination Rail, Foresee) Editorial Board member of Journal of Infrastructure Asset Management and Journal of Infrastructure Systems His recent publications emphasize: Ensemble learning for water pipe failure prediction Simulation-based optimization for flood recovery Resilience quantification frameworks Cost-benefit analysis for urban mobility transitions He contributes to global infrastructure standards through: Leadership in VSS committee 4.3 Consultancy for major infrastructure owners Active reviewing for 20+ international journals

• Statistics for Experimental and Technological Research
• Urban Mobility Analysis
• Sports Analytics
• +۳ مورد دیگر

Rodolfo Metulini is a Researcher (RTD-B) in Statistics for Experimental and Technological Research (SECS-S/02) at the Department of Economics, University of Bergamo. He serves as Principal Investigator for the PRIN/PNRR project 'SIGNUM: Study of mobile phone signals for evaluating mobility-environment interconnections in Lombardy'. His career includes postdoctoral positions at the University of Brescia, Scuola Superiore Sant'Anna Pisa, and IMT Lucca. PhD in Statistical Methodology for Scientific Research (2013), University of Bologna Former Researcher at University of Salerno (RTD-A) Metulini's research spans three primary domains: travel flow analysis using gravity models and spatial interaction approaches for international trade studies; sports analytics focusing on player movement dynamics and marginal utility in football/basketball; and urban mobility modeling through mobile phone data with complex seasonality time series models. His methodological innovations combine matrix completion techniques with functional data clustering for environmental-socioeconomic applications. Recent research trends demonstrate cross-sectoral expertise in applying statistical learning to diverse domains: 1) environmental risk assessment using mobile network data for flood exposure forecasting; 2) urban policy analysis through counterfactual modeling of traffic restrictions; and 3) economic modeling for CO2 emissions prediction. His technical approach integrates dynamic harmonic regression with VARX models for mobility forecasting. As thesis advisor for Computer/Mechanical Engineering students, Metulini promotes data-driven approaches in mobility and sports domains. His publications in journals like Annals of Operations Research and Optimization Letters showcase interdisciplinary methodology combining statistical theory with practical applications in environmental risk management and sports performance analysis.

Luis Rodriguezمشاهده پروفایل

دانشیار

• Big Data Modeling and Analytics
• Food Energy and Water Security
• Environmental Impacts of Agricultural Production
• +۴ مورد دیگر

Luis Rodriguez serves as Associate Professor in the Department of Agricultural and Biological Engineering within the College of Agricultural, Consumer and Environmental Sciences (ACES) at the University of Illinois at Urbana-Champaign. His academic leadership spans transdisciplinary research at the critical nexus of food, energy, and water systems, with particular focus on disaster resilience and community engagement initiatives. Dr. Rodriguez earned his educational foundation at Rutgers University with a B.S. (1995), M.S. (1999), and Ph.D. (2002) in Bioresource Engineering, complemented by doctoral work in Industrial and Systems Engineering. His professional trajectory includes progression from Assistant Professor (2005-2012) to Associate Professor (2012-present) at UIUC, with prior research appointments at NASA facilities and Orbital Space Sciences Corporation. His research program integrates Big Data analytics, modeling, and decision support systems to address food-energy-water security challenges, environmental impacts of agricultural production, and social constraints on engineered systems. Current projects emphasize reliability, resiliency, and sustainability in engineered solutions, particularly through his leadership of the INFEWS-ER (Innovation at the Nexus of Food, Energy, and Water Systems - Educational Resources) initiative. Recent scholarly output reveals strong concentration on biomass supply chain optimization, cyberGIS applications, microbial community modeling, and disaster resilience engineering, with significant methodological contributions to spatial analytics and transdisciplinary systems approaches. Dr. Rodriguez has received multiple teaching honors including the NACTA Teacher Fellow Award (2011), Engineering Council Outstanding Advisor (2012), consistent recognition as an Excellent Teacher (2012-2018), and the prestigious J. Kent Mitchell Teaching Excellence Award (2019). His service includes the ACES Research Policy Committee and Chief Advisor role for Agricultural and Biological Engineering. He directs the UIUC Puerto Rico Disaster Relief Program, which has conducted multiple service-learning trips following Hurricane Maria. This initiative exemplifies his commitment to community-engaged engineering, where students develop microgrids, remove invasive species, and implement sustainable solutions through partnerships with Amizade and Caras Con Causa. His course portfolio includes ABE 398 Disaster Relief Study Tour, ABE 452 Engineering for Disaster Resilience, and multiple Global Disaster Resilience courses across engineering and agricultural disciplines.

Mariantonietta Morgaمشاهده پروفایل

مدرس ارشد

• Structural Dynamics
• Seismic Engineering
• Critical Infrastructure Resilience
• +۵ مورد دیگر

Mariantonietta Morga serves as Senior Lecturer in the School of Engineering and the Built Environment within Anglia Ruskin University's Faculty of Science and Engineering. Since joining ARU in 2017 as a Research Fellow and advancing to Senior Lecturer in 2018, she has established herself as a specialist in structural dynamics and seismic engineering with extensive contributions to critical infrastructure resilience against natural disasters. Her academic credentials include: PhD in Sciences of Civil and Environmental Engineering – Structures from Technical University of Bari Master’s degree in Environmental Engineering (equivalent to MEng(Hons)) from Technical University of Bari PG Cert in Learning and Teaching (Higher Education) from Anglia Ruskin University Dr. Morga's research centers on enhancing structural resilience through advanced methodologies including computational modeling (AI-based algorithms and stochastic analyses), finite element analysis, and dynamic field testing. Her work specifically addresses seismic vulnerability of historical structures, liquefaction mitigation, vibration control systems, and corrosion mechanisms in reinforced concrete. This research directly informs practical applications in disaster management and infrastructure protection. Her publication record reveals a consistent trajectory toward integrated disaster resilience solutions, with recent works emphasizing multi-hazard risk frameworks, liquefaction countermeasures, and optimization of structural control systems. The research demonstrates strong interdisciplinary connections between geotechnical engineering, structural dynamics, and emergency management. Professional recognition includes: Fellow of the Higher Education Academy Dr. Morga has secured substantial research funding through European programs: MEDiate (2022-ongoing) : €5M HE project as Co-I focusing on multi-hazard risk management systems TURNkey (2019-2022) : €7.99M H2020 project as Co-I with €504,875 ARU grant for earthquake resilience LIQUEFACT (2017-2019) : €4.94M H2020 project as Co-I with €647,347.50 ARU grant for liquefaction mitigation NERA (2012-2014) : €12.01M FP7 project where she served as PI for AIT Austrian Institute She actively supervises research students and serves as reviewer for seven international journals and H2020/Newton funding bodies. Her collaborative work extends through European consortia and Austrian transport sector consultancy, focusing on translating research into practical disaster risk management frameworks and infrastructure protection strategies.

Burak Kizilkayaمشاهده پروفایل

مدرس

• Telerobotics
• Autonomous Systems
• 5G/6G Wireless Communications
• +۷ مورد دیگر

Dr. Burak Kizilkaya is a Lecturer in Computer Networking at the University of Glasgow's School of Computing Science, holding a PhD in Electrical and Electronics Engineering from the same institution (2023). His doctoral research focused on "Task-Oriented Joint Design of Communication and Computing for Internet of Skills" with applications in 5G-based teleoperation systems. His research spans four key areas: Telerobotics and Autonomous Systems for nuclear sites and healthcare 5G/6G wireless communications for real-time control systems Cybersecurity in human-robot interaction Smart cities and IoT applications for energy efficiency His publication trends show strong focus on teleoperation security (2023-2025), haptic communications (2023), and smart grid applications (2025), with interdisciplinary work bridging robotics, networking, and cybersecurity. Recent publications demonstrate increasing industry relevance in nuclear robotics, virtual power plants, and VR education. Dr. Kizilkaya actively supervises PhD students in robotics, immersive technologies, and cyber-physical systems, seeking candidates with backgrounds in computer/electrical engineering or computer science. He leads the Netlab (Networked Systems Research Laboratory) and collaborates with the Communications, Sensing and Imaging Hub. His work integrates practical applications in healthcare robotics, nuclear environments, and smart city infrastructure, with emphasis on real-world implementation of theoretical frameworks developed in his research.

Anna Lackingerمشاهده پروفایل

پژوهشگر

• Edge Intelligence
• Distributed Inference
• Federated Learning
• +۵ مورد دیگر

Anna Lackinger is a PreDoc Researcher and PhD student in the Distributed Systems Group at TU Wien's Faculty of Informatics. Holding a Diplom-Ingenieur (Master's) and BSc from TU Wien, she specializes in edge intelligence and distributed machine learning systems with applications in cloud infrastructure optimization. Education: Diplom-Ingenieur (Master of Science in Engineering), TU Wien, 2023 Bachelor of Science, TU Wien Her research centers on Edge Intelligence and Federated Learning architectures, developing communication-efficient orchestration frameworks for hierarchical learning systems. She pioneers time series prediction techniques for cloud workload forecasting, enabling proactive resource scaling while addressing challenges in heterogeneous IoT environments and communication-constrained distributed systems. Analysis of her publication record reveals consistent focus on adaptive federated learning systems that optimize communication costs while maintaining model accuracy. Her work bridges theoretical AI advancements with practical distributed systems implementations, particularly in edge-cloud continuum scenarios where resource constraints demand innovative orchestration solutions. Professional Service: Reviewer for IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS) Reviewer for International Web Information Systems Engineering Conference (WISE) Reviewer for ACM Transactions on Internet Technology (TOIT) Reviewer for IEEE Transactions on Services Computing (TSC) Reviewer for IEEE Internet Computing (IC) Reviewer for IEEE Open Journal of the Computer Society (OJCS) Anna co-advises bachelor's and master's theses in distributed systems and machine learning. She actively contributes to major research initiatives including AloTwin (2023–2025) on reactive federated learning orchestration, INTEND (2024–2026) developing adaptive inference agents, and TEADAL (2022–2025) focused on load-aware federated learning systems. As a core member of TU Wien's Distributed Systems Group, she collaborates on cutting-edge research in edge intelligence and IoT swarm coordination, advancing the RainCloud framework for decentralized heterogeneous IoT systems while contributing to the group's leadership in distributed AI infrastructure.

Suelynn Choyمشاهده پروفایل

استاد

• Satellite Navigation
• Precise Positioning
• Geodesy
• +۵ مورد دیگر

Professor Suelynn Choy is a Professor of Satellite Navigation and Director of the RMIT SPACE Research Centre at RMIT University. Her roles include Deputy Dean, Industry, International & Engagement and Interim Head of Department in the School of Science. She holds a PhD in precise Global Navigation Satellite Systems (GNSS) from RMIT and specializes in satellite positioning, atmospheric remote sensing, and disaster management. Her research focuses on GNSS applications, satellite remote sensing for climate studies, and geospatial technologies for disaster resilience. Education: PhD in precise GNSS (RMIT University). Research Interests: Precise satellite positioning, GNSS remote sensing of the atmosphere, disaster risk management, and climate studies. Key areas include GNSS-based weather monitoring, multi-hazard early warning systems, and blending satellite and ground-based data for improved environmental analysis. Awards: Recipient of the 2016 Australian National Measurement Institute Prize, 2018 RMIT School of Science Leadership Award, and others recognizing her contributions to satellite navigation and climate research. Advising & Grants: Leads projects on drought monitoring, tropical cyclone risk assessment, and smartphone positioning. Collaborates with national/international committees on satellite navigation and disaster resilience. Supervises PhD and Master's students in geospatial sciences and related fields. Labs & Teams: Director of RMIT SPACE Research Centre, affiliated with the RMIT Sir Lawrence Wackett Centre and Urban Futures initiatives.