جست‌وجوی استاد و پژوهشگر

Mohamed Solimanمشاهده پروفایل

استاد

• Hydraulic Fracturing
• Unconventional Reservoirs
• Well Test Analysis
• +۷ مورد دیگر

Dr. Mohamed Soliman is the William C. Miller Endowed Professor at the University of Houston’s Cullen College of Engineering, Department of Petroleum Engineering. He holds a Ph.D. in Petroleum Engineering from Stanford University, complemented by an M.S. and B.S. from Stanford and Cairo University respectively. His research focuses on hydraulic fracturing of unconventional reservoirs, waterless fracturing using shock waves, and advanced numerical simulation techniques. He has authored over 250 technical papers and holds 35 patents, with notable works on shale gas transport, dead oil viscosity modeling, and plasma stimulation technologies. Dr. Soliman is a Distinguished Member of the Society of Petroleum Engineers (SPE) and a Fellow of the National Academy of Inventors. He has received the Gulf Coast 2020 Distinguished Achievement Award for Petroleum Engineering Research. His work bridges theoretical models with practical applications, such as the development of machine learning tools for reservoir analysis and innovative methods for fracture closure detection using wavelet transforms. His teaching spans core petroleum engineering courses including PETR 1111 (Introduction to Petroleum Engineering), advanced production operations (PETR 6372), and well completion stimulation (PETR 5397). He actively mentors graduate students, with current advisees Ibrahim Eltaleb, M. Awad, and Fatmir Likframa. His research group collaborates on projects funded by industry and government agencies, focusing on topics like microwave-assisted heavy oil recovery and geothermal reservoir characterization. Dr. Soliman’s lab develops cutting-edge tools for analyzing fracturing pressure data and interwell connectivity through signal processing. Key collaborations involve experimental validation with institutions like the University of Houston’s Advanced Energy Research Laboratory. His recent work emphasizes sustainable energy solutions, including critiques of carbon capture limitations and innovative plasma-based stimulation techniques to enhance reservoir permeability without water use.

Asmus Skar Christiansenمشاهده پروفایل

دانشیار

• Pavement Engineering
• Geotechnical Engineering
• Sensing Technologies
• +۴ مورد دیگر

Asmus Skar Christiansen is an Associate Professor in Pavement Engineering at the Department of Environmental and Resource Engineering, Technical University of Denmark (DTU Sustain). He serves as Head of Study for the Nordic Master in Cold Climate Engineering programme and lectures on pavement engineering, Arctic road construction, and foundation design. His academic career at DTU spans from Postdoc researcher (2017-2019) to Assistant Professor (2020-2023) and current Associate Professor position since 2023. His research centers on pavement technology and geotechnics with specialization in: Development of advanced testing and modeling techniques for pavements Integration of modern sensing technologies in civil infrastructure Computational mechanics for soil-structure interaction Sustainable materials for cold climate engineering Recent work demonstrates a clear shift toward IoT-enabled monitoring systems and data-driven pavement assessment, with 80% of 2023-2025 publications focusing on sensor integration and machine learning applications. Notable scientific contributions include: Creation of open-source datasets (LiRA-CD, RIVA) for road condition modeling Development of thermomechanical models for heated pavements Innovations in waste soil reuse for infrastructure He actively supervises PhD candidates across multiple projects including GREENPIPE (self-sensing pipe systems) and urban pavement analysis, while maintaining industry consultancy through COWI A/S collaborations. Christiansen also contributes to sustainable infrastructure through DTU's alignment with UN SDG 9 (Industry, Innovation, and Infrastructure) and SDG 11 (Sustainable Cities).

Ahmed Elgammalمشاهده پروفایل

استاد

• Artificial Intelligence
• Computer Vision
• Digital Humanities
• +۳ مورد دیگر

Dr. Ahmed Elgammal is a Professor of Computer Science at Rutgers University, where he leads the Art and Artificial Intelligence Laboratory. His work focuses on applying AI and computer vision to digital humanities, particularly art analysis and generation. He has published over 180 peer-reviewed papers and received the NSF CAREER Award in 2006. Elgammal’s research bridges art and technology, including AI-generated art and computational methods for art history. His work has been featured in prominent media such as the Washington Post, New York Times, and PBS, which earned an Emmy for a segment about his research. His art installations have been exhibited globally in cities like New York and Frankfurt. He holds a Ph.D. and M.Sc. in Computer Science from the University of Maryland, College Park. His academic leadership includes roles as Executive Council Faculty at Rutgers’ Center for Cognitive Science. Research Interests: Creative AI and Art Generation Computer Vision Applications in Digital Humanities Machine Learning for Art Analysis Awards: National Science Foundation CAREER Award (2006) Grants & Projects: Includes NSF-funded projects and collaborations in AI-driven art analysis and structural engineering applications. Labs & Teams: Founder and Director of the Art & AI Lab at Rutgers, focusing on interdisciplinary art-tech innovation.

• New Product Development
• Knowledge Management
• Collaborative Work Environments
• +۵ مورد دیگر

Angelo Corallo is an Associate Professor at the Department of Experimental Medicine, University of Salento, specializing in technologies and methodologies for collaborative processes in industrial systems. His research spans Digital Business Ecosystems , Cybersecurity , and Collaborative Product Design , focusing on the interplay between technology and organizational dynamics. He leads interdisciplinary research divisions in Open Networked Business Management , Learning and Innovation , and Collaborative Product Design . Research Interests : Corallo's work integrates Information and Communication Technologies (ICT) with Business Management, particularly in Digital Twins for healthcare and manufacturing Knowledge Modeling and Ontology Engineering Industry 4.0 and Smart Manufacturing Agri-Food Sustainability through digitalization Scientific Contributions : His recent articles explore trends in Cybersecurity for Industrial IoT Metaverse Applications in business models Traceability Systems in food supply chains Collagen-Based Biomaterials from aquaponics

Nicholas Vlachopoulosمشاهده پروفایل

استاد

• Geotechnical Engineering
• Geomechanics
• Environmental Engineering
• +۵ مورد دیگر

Nicholas Vlachopoulos is a Professor of Civil Engineering at the Royal Military College of Canada (RMC) with cross-appointments at Queen's University's Department of Geological Science and Geological Engineering and School of Environmental Studies. He holds a PhD (2009) from Queen's University and B/A.Sc/M.A.Sc degrees from RMC. His research focuses on geotechnical engineering, geomechanics, and environmental engineering, emphasizing physical testing, field observations, and analytical techniques to advance engineering practices. Key roles include Research Director of the GeoEngineering Centre, CEO of Geologos Inc., and Director of RMC's Green Team addressing environmental challenges in military facilities. Education: PhD in Geological/Geotechnical Engineering - Queen's University (2009) M.A.Sc in Civil Engineering - Royal Military College (1995) B.A.Sc in Civil Engineering - Royal Military College Research Interests: Geotechnical Engineering (rock mechanics, tunneling) Environmental remediation in defense facilities Structural health monitoring using fiber optics Rock bolt and ground support systems Military infrastructure resilience Professional Contributions: Founder of Geologos Inc., specializing in geotechnical solutions Recipient of DND Innovation Award for environmental solutions Teaching excellence awards (2018) Supervised award-winning graduate students (2017-2021) Lab/Team Leadership: RMC Green Team: Environmental engineering solutions for Canadian Forces bases GeoEngineering Centre: Interdisciplinary geotechnical research

Carsten Hopfمشاهده پروفایل

استاد

• Bioanalytics
• Drug Discovery
• Mass Spectrometry Imaging
• +۶ مورد دیگر

Carsten Hopf is a Professor of Bioanalytics and Drug Discovery at Mannheim University of Applied Sciences, leading the Institute of Instrumental Analytics and Bioanalytics and the CeMOS (Center for Mass Spectrometry and Optical Spectroscopy). His work focuses on developing spatially resolved omics technologies (e.g., MALDI-MS imaging) for neurodegenerative and oncological research. He explores lipidomics, proteomics, and metabolomics to understand Alzheimer's disease, glioblastoma, and other neurodegenerative disorders. Key projects include the SMART-CARE-2 BMBF initiative (2023–2026) and DFG-funded research on spatial multi-omics in glioblastoma (SFB 1389). Research interests center on mass spectrometry innovations, including matrix optimization, AI-driven data analysis, and multimodal imaging (e.g., infrared microscopy integration). His lab develops label-free cell assays for drug discovery and studies molecular mechanisms of neurodegeneration. Collaborations span academia and industry, with projects like the M 2 Aind partnership addressing 3D cell culture toxicity assessments. Grants include BMBF, DFG, and EU funding for systems medicine, organoid analysis, and mass spectrometry cores. His technological advancements aim to improve biomarker discovery and translational medicine in neuro-oncology and neurodegeneration.

Montserrat Rosمشاهده پروفایل

دانشیار

• Embedded Systems
• Sensor Networks Data Fusion
• Cyber-Physical Systems
• +۶ مورد دیگر

Montserrat Ros is an Associate Professor and Associate Dean (Education) at the School of Electrical, Computer and Telecommunications Engineering within the Faculty of Engineering and Information Sciences at the University of Wollongong, Australia. She has been with the university since 2006, initially joining as a Lecturer in Computer Engineering and progressing to her current senior academic and leadership roles. Her educational background includes: B.E.(Hons1)/B.Sc. double degree majoring in Computer Systems Engineering and Mathematics from the University of Queensland (2000) Ph.D. degree in Computer Engineering from the University of Queensland (2007) Professor Ros's research focuses on the intersection of embedded computing systems and practical engineering applications. Her work spans several key areas including embedded systems design, sensor network data fusion, cyber-physical systems development, and innovative approaches to engineering education. She has particular expertise in sensor-based localization techniques, computer architecture optimization, and code compression methodologies for resource-constrained environments. More recently, her research has expanded into machine learning applications for constrained systems and Internet of Things implementations. Analysis of her recent publication record reveals a strong emphasis on Internet of Things networks, UAV-based systems, and applications of artificial intelligence in both engineering education and manufacturing processes. Her work demonstrates a consistent pattern of bridging theoretical computer engineering concepts with practical real-world applications across diverse domains including healthcare, environmental monitoring, and industrial automation. Her significant contributions to academia have been recognized through numerous prestigious awards: 2019: AAUT Citation for Outstanding Contribution to Student Learning 2018: IEEE TALE 2018 Meritorious Service Award 2018: Featured in UOW Leadership in Education Booklet 2017: UOW Vice Chancellor's Award for Outstanding Contribution to Teaching and Learning 2016: UOW Women of Impact for inspiring young women in STEM 2015: UOW Vice Chancellor's Interdisciplinary Research Excellence Award 2012 & 2007: UOW Vice Chancellor's Awards for Teaching Excellence 2011: UOW Vice Chancellor's Award for Community Engagement Senior Fellow of WATTLE (Wollongong Academy for Tertiary Teaching & Learning Excellence) Professor Ros has secured substantial research funding across multiple projects spanning from 2006 to the present. Her grant portfolio demonstrates a consistent focus on engineering education innovation, sensor network development, and practical applications of embedded systems. Notable projects include "The AI Tutor: Enabling 24x7 student support across engineering" (2024), "AI/IoT-powered Airborne System for Monitoring Water Level and Tidal Floods" (2023), and "Smart Eye: Airborne and AI-Driven Assessment Solution of Sugarcane" (2022). She actively supervises HDR students and has completed multiple successful candidatures. Her leadership extends beyond research and teaching, as evidenced by her role as Associate Dean (Education) for the Faculty of Engineering and Information Sciences. She is also actively involved in community engagement through volunteering with the State Emergency Service (Wollongong SES) and Athletics Wollongong Club.

Hester van de Bovenkampمشاهده پروفایل

استاد

• Patient Sciences
• Healthcare Governance
• Healthcare Quality Improvement
• +۳ مورد دیگر

Prof. Hester van de Bovenkamp is a Full Professor at the Erasmus School of Health Policy & Management (Erasmus University Rotterdam), specializing in Health Care Governance. She leads research in Patient Sciences, focusing on patient experiences, participation, and representation. Her work integrates qualitative research and text mining to analyze patient narratives, contributing to healthcare improvement and reflexive governance. She is a member of interdisciplinary research collaboratives involving academics, patients, healthcare providers, and policymakers. Her research emphasizes institutional layering, regulatory frameworks, and participatory approaches in healthcare. Notable contributions include exploring patient-parent-clinician relationships through arts-based projects and analyzing frontline professionals' experiences in complex care systems. She has received awards such as the 'Best Supervisor 2021' and contributed to datasets like 'From promise to practice: a guide to pooled procurement mechanisms'. Teaching roles include coordinating the HEPL course 'Comparative Health Policy' and supervising master’s theses. Her work aligns with UN Sustainable Development Goals, particularly improving healthcare quality and equity. Key Research Themes: Patient-centered care, regulatory governance, qualitative methodologies, and participatory healthcare. Recent Projects: Analysis of European Reference Network CRANIO’s arts-based initiatives and systemic reviews on rare congenital conditions. Awards: Vide publicatieprijs 2024, Best Supervisor 2021, Frans Rutten Research Award. She actively engages in media and public discourse, emphasizing the importance of patient voices in healthcare policy. Her interdisciplinary approach bridges academic research with practical healthcare challenges, fostering innovation in governance and care delivery.

Magdy Salamaمشاهده پروفایل

استاد

• Power Quality Analysis
• Smart Grid Technology
• Renewable Energy Systems
• +۷ مورد دیگر

Dr. Magdy Salama is a Professor in the Department of Electrical and Computer Engineering at the University of Waterloo, with dual professional engineering registrations in Ontario and Egypt. His research focuses on power systems, smart grid technologies, renewable energy integration, and medical imaging. He holds over 460 publications, including 215 journal articles, and has developed specialized labs in areas like Power Quality and Ultrasound Imaging. Recognized in the 1991 National Encyclopedia of Egyptian Scientists, he also teaches courses such as ECE 192, 390, and 462, emphasizing engineering economics and design. Education: PhD, Electrical Engineering, University of Waterloo (1977) MSc, Electrical Engineering, Cairo University (1973) BSc, Electrical Engineering, Cairo University (1971) Research Interests: Power quality and distribution system automation Smart grid and renewable energy analysis Medical image processing (e.g., sleep staging, neuromodulation) Electric energy storage and fault detection Asset management and risk analysis Labs & Innovation: He leads labs in Power Quality, Electric Vehicle Power Electronics, Ultrasound Imaging, and Sleep Staging. His patents include high-voltage power supplies for automotive and aerospace applications. Awards: Listed in the 1991 National Encyclopedia for Distinguished Egyptian Men of Science . Teaching & Grants: Recently taught courses like Distribution System Engineering (ECE 6606PD) and Electric Safety Design (ECE 6616PD). His work spans academic-industrial partnerships, though specific grants are not detailed in the text.

Sandip Harimkarمشاهده پروفایل

استاد

• Laser Additive Manufacturing
• Spark Plasma Sintering
• Advanced Materials Processing
• +۳ مورد دیگر

Sandip Harimkar is a Professor and Albert H. Nelson, Jr. Chair in the Department of Mechanical and Aerospace Engineering at Oklahoma State University (OSU), part of the College of Engineering, Architecture, and Technology (CEAT). His research focuses on advanced materials processing, including laser additive manufacturing, spark plasma sintering, and surface engineering. He holds a Ph.D. from the University of Tennessee, Knoxville (2007), an M.E. from the Indian Institute of Science (2003), and a B.E. from Visvesvaraya National Institute of Technology (1999). His research interests include laser additive manufacturing of structural materials, spark plasma sintering of amorphous alloys and ceramics, laser surface processing, and pulse electrodeposition of composite coatings. He has pioneered studies on nanocrystallization in metallic glasses and wear-resistant coatings for aerospace applications. His work integrates experimental techniques with computational modeling to optimize material properties and processing parameters. Harimkar has authored over 150 peer-reviewed publications and holds multiple patents. His articles span topics like additive manufacturing quality control, electrochemical strain analysis in battery materials, and thermal oxidation quantification in metallic glasses. Research trends in his work emphasize interdisciplinary approaches to materials design, combining advanced characterization (e.g., neutron/X-ray scattering) with machine learning for process optimization. Awards: NSF CAREER Award (2012) Outstanding Young Researcher Award (OSU, 2014) ASM-IIM Visiting Lectureship Award (2013) Young Leaders International Scholar-JIM Award (2013) He teaches courses such as Mechanical Metallurgy (MAE 4333) and Phase Transformations in Materials (MAE 5693). His professional service includes leadership roles in TMS committees, including Chair of the Surface Engineering Committee (2010–2016). His labs focus on advanced materials synthesis and characterization for energy, aerospace, and biomedical applications.

Zeina ELRAWASHDEHمشاهده پروفایل

پژوهشگر

• Measurements and Controls
• Fiber-Optic Sensors
• Artificial Intelligence of Things (AIoT)
• +۳ مورد دیگر

Zeina ELRAWASHDEH is a Researcher Lecturer at the Institut Catholique d'Arts et Métiers (ICAM), based at the Grand Paris Sud campus. Her research focuses on Measurements and Controls, with a particular emphasis on fiber-optic sensors, multi-agent systems, and IoT integration for smart infrastructure. She collaborates with prestigious research laboratories globally to develop innovative solutions in energy optimization, smart cities, and precision engineering. Her expertise spans applied research in fiber-optic displacement sensors, algorithm optimization for sensor performance, and user-centric building automation systems. Zeina’s work bridges theoretical advancements with practical applications in manufacturing, energy, and urban systems. She actively contributes to international academic discourse through peer-reviewed publications and participates in ICAM’s strong industry partnerships for applied research outcomes. Zeina’s research portfolio demonstrates a trajectory toward integrating AI and IoT with traditional engineering challenges, addressing technical gaps in sensor networks, multi-agent coordination, and precision machining. Her recent work highlights advancements in smart city infrastructure and energy-efficient building systems. While no awards are explicitly mentioned, her involvement in ICAM’s research initiatives underscores her commitment to impactful, industry-relevant science. Collaborations with global companies and academic institutions position her at the forefront of applied engineering research.

Richard Englishمشاهده پروفایل

استاد

• Radicalism
• Intellectual history
• Political violence
• +۸ مورد دیگر

Richard English is currently Professor of Politics at Queen’s University Belfast (QUB) and serves as Director of the Senator George Mitchell Institute. He held leadership roles including Pro Vice-Chancellor for Internationalisation and Engagement (2016–2021) and Wardlaw Professor of Politics at the University of St Andrews (2011–2016). His research focuses on radicalism, political violence, nationalism, and Irish/British politics. A Fellow of the British Academy and recipient of the Royal Irish Academy Gold Medal (2019), he has authored influential works such as Armed Struggle: The History of the IRA and Irish Freedom: The History of Nationalism in Ireland . Research Trends: His recent publications (2022–2025) address energy systems, building simulations, and sustainable urban infrastructure, with keywords spanning Building Simulation , Sustainable Energy , and Smart Grids . Subfields include District Heating , Thermal Modeling , and Machine Learning in Energy Management . Honors: CBE (2018) Gold Medal, Royal Irish Academy (2019) Fellow, British Academy (2009) Ewart-Biggs Memorial Prize (2007)

Kevin Briggsمشاهده پروفایل

دانشیار

• Geotechnical Engineering
• Climate Change Impact on Infrastructure
• Engineering Geology
• +۳ مورد دیگر

Dr. Kevin Briggs is an Associate Professor in Geomechanics and RAEng/HS2 Ltd Senior Research Fellow at the University of Southampton. His work focuses on geotechnical engineering challenges, particularly the impact of climate change on transportation infrastructure, mudstone properties, and infrastructure deterioration. He is affiliated with the Infrastructure Group within the Faculty of Engineering and the Environment. Research interests include: Extreme weather and climate change effects on transportation earthworks Ageing infrastructure deterioration mechanisms Engineering properties of Jurassic and Triassic mudstones Glacial/periglacial weathering impacts on ground stability Recent work emphasizes climate-driven porewater pressure analysis, Bayesian slope failure prediction, and material behavior in historic structures. His research bridges geotechnical engineering with environmental science to enhance infrastructure resilience. Notable achievements include the 2018 EPSRC RISE award and 2023 Shropshire Geological Society Honorary Membership. He actively supervises PhD candidates focusing on geotechnical asset management and climate adaptation strategies. Current projects involve HS2-funded geotechnical research and collaborative studies on transportation earthwork deterioration. His interdisciplinary approach integrates geomechanics with remote sensing technologies like InSAR for infrastructure monitoring.

Shlomo Ta'asanمشاهده پروفایل

استاد

• Materials Science
• Computational Biology
• Grain Growth Modeling
• +۶ مورد دیگر

Shlomo Ta'asan is a Professor Emeritus in the Department of Mathematical Sciences at Carnegie Mellon University, affiliated with the Mellon College of Science. He holds a Ph.D. from The Weizmann Institute of Science. His research spans computational materials science and systems biology, with a focus on grain growth dynamics and immune response modeling. Collaborations include work with David Kinderlehrer, R. Suter Lab, and materials science faculty at CMU. Key research areas include bridging microscopic dynamics to macroscopic equations, grain boundary evolution, and immune system modeling. His work on inverse problems using HEDM data and entropy-based theories of grain boundary character distribution has advanced materials science. In biology, he develops models for circulatory system instabilities and shock mechanisms. Notable contributions include mesoscale simulations of grain growth and multigrid optimization methods for aerodynamics. His interdisciplinary approach integrates computational mathematics with experimental data from materials and biological systems.

• Applied Artificial Intelligence
• Machine Learning
• Health Informatics
• +۷ مورد دیگر

Dr. Abdur Forkan is a Senior Research Fellow in AI and Machine Learning at Swinburne University of Technology's School of Science, Computing and Emerging Technologies. He also holds honorary research positions at Peter MacCallum Cancer Centre and Northern Health. His work focuses on applied AI and machine learning across digital health, Industry 4.0, FinTech, AgriTech, and supply chain optimization. He has led over a dozen industry projects, delivering impactful solutions such as AI-driven healthcare systems, manufacturing efficiency tools, and agricultural disease prevention models. Education: PhD in Computer Science, RMIT University (2016) B.Sc. in Computer Science and Engineering, Bangladesh University of Engineering and Technology (2007) Research Interests: Data Science and Health Informatics Pervasive Computing and IoT Applications AI in Healthcare and Industry Awards: 2023 iAwards National Winner (Government/Public Sector Solution) 2023 iAwards VIC Winner (Technology Platform Solution) RMIT CSIT Publication Award (2015) Grants & Collaborations: Lead on projects with industry partners like VidVersity, Sphere Holdings, and Northern Health Focus on digital twin technologies, AI in clinical decision support, and healthcare platform development Teaching & Supervision: Sessional academic at RMIT and Swinburne Supervising HDR students on topics like AI in healthcare, greenspace health impacts, and chronic disease management