جست‌وجوی استاد و پژوهشگر

Lorenzo Pareschiمشاهده پروفایل

استاد

• Applied Mathematics
• Computational Mathematics
• Multiscale Modeling
• +۹ مورد دیگر

Lorenzo Pareschi is a Professor and Chair of Applied and Computational Mathematics at the School of Mathematical & Computer Sciences, Heriot-Watt University, Edinburgh, UK. He holds a Ph.D. in Mathematics from the University of Bologna, Italy, and has held visiting professorships at institutions including Georgia Tech, University of Wisconsin-Madison, and Imperial College London. His research focuses on multiscale modeling, numerical methods for nonlinear PDEs, and applications in physics, engineering, and socio-economic systems. Recently, he has explored uncertainty quantification, optimal control, and machine learning. He is a Royal Society Wolfson Fellow (2023) and has served as Head of the Department of Mathematics and Computer Science at the University of Ferrara. He is an associate editor for journals like SIAM Journal on Scientific Computing and Multiscale Modeling & Simulation. Research interests include hyperbolic and kinetic equations, fluid dynamics, plasma physics, epidemiology, and computational hemodynamics. His work contributes to UN Sustainable Development Goals through applications in healthcare and environmental modeling. He has authored over 200 publications and five books, reflecting his leadership in applied mathematics and interdisciplinary collaboration. Education: Ph.D. in Mathematics, University of Bologna (Italy). Awards: Royal Society Wolfson Fellowship (2023), Nelder Fellowship (2015), John von Neumann Professorship (2019). Roles: Member of SIMAI steering committee, EMS CAIR committee, and editorial boards of key journals. Research Trends: Recent articles emphasize machine learning integration with kinetic models, plasma control strategies, and multiscale methods for epidemic spread. His work bridges theoretical developments with practical applications in fusion energy, traffic dynamics, and healthcare. Grants & Advising: Actively supervises PhD students and leads projects on computational methods for complex systems. His grants focus on advancing numerical techniques for multiscale phenomena and uncertainty quantification. Labs/Teams: Collaborates with global networks in computational mathematics and applied physics, contributing to high-impact journals and conferences.

Aleksei Fedorovمشاهده پروفایل

پژوهشگر

• Communications Engineering
• Wireless Networks
• Antenna Design
• +۳ مورد دیگر

Aleksei Fedorov is a Researcher at the Department of Communications Engineering, Lund University, affiliated with the LTH Profile Area on AI and Digitalization and ELLIIT. His work contributes to UN Sustainable Development Goals related to Industry, Innovation, and Infrastructure. Fedorov specializes in advanced communication systems, antenna design, and sensing technologies. Research interests include Massive MIMO systems, antenna array characterization, maritime channel modeling, and 6G network deployments. He has collaborated on projects such as SIVERT (Swedish Government-funded simulation of wireless technologies) and developed open-source tools for network simulation. Recent contributions focus on integrating communication and sensing in industrial environments, autonomous vehicle safety frameworks, and practical 6G solutions. His work bridges theoretical research with practical implementations, emphasizing real-world applications in industrial IoT and vehicular systems. Notable collaborations include projects with Linköping University (via ELLIIT) and international conferences on antennas, propagation, and intelligent vehicles. Fedorov's research emphasizes cross-disciplinary approaches to next-generation wireless systems.

• Sustainability
• Multisensory Design
• Performance-Based Architecture
• +۳ مورد دیگر

Dr. Pantea Alambeigi is a Senior Lecturer in Architecture at Swinburne University of Technology's School of Design and Architecture. She specializes in sustainability, multisensory design, and performance-based architecture, focusing on the interplay between human perception and the built environment through acoustics and daylighting. Her research integrates computational tools and data-driven methodologies to enhance architectural design strategies. Her interdisciplinary work explores 'Seamless Architecture' by combining emerging technologies with environmental factors and human behavior. She teaches undergraduate and graduate courses in design studios, construction, and sustainability, and supervises PhD candidates on topics like multisensory stimuli in indoor spaces and digital tools for BIM workflows. Alambeigi has secured grants including the ARC Training Centre for Next-Gen Architectural Manufacturing (2024–2029) and a National Association of Steel-framed Housing contract on sustainable design. Her work has been recognized with the Best Paper Award at the 2016 CAADRIA conference. Key research outputs include studies on acoustic shadows, wind-induced noise in drywall systems, and virtual soundscapes of the Sagrada Família Basilica. Her contributions span architectural acoustics, data visualization, and biomimicry in engineering, reflecting her commitment to human-centric design innovation.

Javier Bajoمشاهده پروفایل

استاد

• Multi-Agent Systems
• Social Computing
• Ambient Intelligence
• +۵ مورد دیگر

Javier Bajo is a Full Professor at the School of Computer Engineering, Polytechnic University of Madrid (UPM). He coordinates the Master's Degree in Artificial Intelligence at UPM and previously held roles as Associate Professor and Director of the Data Center at the Pontifical University of Salamanca (2003–2012). He earned a PhD in Computer Sciences (summa cum laude) from the University of Salamanca (2007), a Master’s in E-Commerce (2006), and degrees in Computer Systems Engineering (University of Valladolid, 2001) and Computer Science (Pontifical University of Salamanca, 2003). His research focuses on multi-agent systems, social computing, ambient intelligence, and AI ethics. He has led 11 research projects and contributed to over 50 others, with funding from EU, national, and regional entities. He has authored/co-authored over 300 publications, including 49 in JCR-indexed journals, and co-chaired 30+ international conferences (e.g., ACM SAC, IEEE FUSION). His work bridges theory and practice: developing multi-agent architectures for smart cities, optimizing traffic systems, and addressing algorithmic fairness. He also pioneers gamification in machine learning education and applies AI to healthcare diagnostics and infrastructure management. Key contributions include: Smart waste collection systems with LoRaWAN and route optimization Anti-feromone algorithms for urban rescue robotics Causal models for bias mitigation in AI Multi-sensor fusion for crop irrigation monitoring His educational innovations include challenge-based learning frameworks for computational biology and flipped classrooms for sustainability education.

Michele Di Pierroمشاهده پروفایل

استادیار

• Physical Genetics
• Genome Architecture
• Chromatin Dynamics
• +۳ مورد دیگر

Michele Di Pierro is an Assistant Professor in the Department of Physics at Northeastern University’s College of Science. He leads the Di Pierro Lab, which investigates physical genetics by exploring how genetic information is physically translated and organized through statistical physics, information theory, and computational modeling. His research focuses on genome architecture, chromatin dynamics, and nuclear organization, with notable work on ancient genome preservation in a 52,000-year-old woolly mammoth sample. Key research themes include energy landscapes of chromosome structures, phase-separated chromatin compartments, and mesoscale modeling of nuclear organization. His lab develops computational tools like the Nucleome Data Bank to simulate genome structures. Di Pierro collaborates across disciplines to bridge physics and molecular biology, advancing both theoretical understanding and biotechnological applications. He is affiliated with Northeastern’s Department of Physics and contributes to interdisciplinary research within the College of Science. His work addresses fundamental questions about how physical principles govern genetic processes at molecular scales.

Heng Caiمشاهده پروفایل

استادیار

• Geographic Information Science
• Disaster Resilience
• Socio-Environmental Sustainability
• +۳ مورد دیگر

Dr. Heng Cai is an Assistant Professor at Texas A&M University, leading the GIScience for Resilience (GIResilience) Research Group. Her work focuses on geographic information science, disaster resilience, socio-environmental sustainability, and environmental health. She develops geospatial data mining and decision-support tools to model human-environment interactions under climate change and natural hazards. Education: Ph.D. in Environmental Science (Louisiana State University), M.S. in Geographic Information Science (Chinese Academy of Sciences), B.E. in Surveying and Mapping (China University of Geosciences). Research interests include geospatial data science, hazard modeling, and resilience assessment. Her group has pioneered studies on land loss prediction in coastal Louisiana, social media analysis for disaster response, and cyberGIS platforms like PRIME. Recent work emphasizes climate adaptation strategies and urban resilience frameworks. Publications span interdisciplinary journals like Remote Sensing , Annals of the American Association of Geographers , and International Journal of Digital Earth . She actively collaborates with NASA and disaster management agencies, securing grants for projects like HeatSMART and U-CARE. Labs/Teams: GIResilience Group (www.gis-resilience.info) focuses on innovative geospatial solutions for societal resilience. She mentors undergraduate and graduate students in GIS programming, webGIS, and geodatabase applications.

Roshan Jayathilakageمشاهده پروفایل

پژوهشگر ارشد

• Sustainable Construction Materials
• 3D Concrete Printing
• Concrete Rheology
• +۵ مورد دیگر

Roshan Jayathilakage is a Research Fellow at RMIT University's School of Engineering, specializing in sustainable concrete technologies. His work focuses on low-carbon concrete mix designs using calcined clays and industrial waste, alongside synchrotron-based material analysis and 3D concrete printing. He holds a Ph.D. in Civil Engineering from Swinburne University, with postdoctoral experience at the University of New South Wales, where he researched rubber and glass-reinforced concretes for noise walls. His expertise spans structural engineering, geotechnical design, and advanced material characterization, supported by industry collaborations for sustainable infrastructure solutions. Education: Ph.D. in Civil Engineering (Swinburne University of Technology), Postdoctoral Research at UNSW Sydney. Research interests include: sustainable construction materials, rheology of concrete, acoustic performance evaluation, numerical simulations (FEM/DEM/CFD/FDM), and waste integration in construction. He has published in top-tier journals and received the 2024 ICSBE Best Paper Award. His teaching includes Concrete Structures 2 and capstone project supervision. Current projects involve rheological formulations of calcined clay concrete and synchrotron analysis of low-carbon concretes. He actively mentors HDR students and contributes to academic communities through volunteer work and teaching.

Corey Harperمشاهده پروفایل

استادیار

• Transportation Systems
• Sustainability
• Climate Resilience
• +۸ مورد دیگر

Corey Harper is an Assistant Professor at Carnegie Mellon University, holding dual appointments in the Department of Civil and Environmental Engineering (College of Engineering) and the Heinz School of Information Systems and Public Policy. He directs the Future Mobility Systems Lab, focusing on equitable, environmental, and policy impacts of transportation technologies. His research employs modeling, simulation, and data analytics to address challenges like climate resilience, automation, and EV infrastructure gaps. B.S. Civil Engineering, Morgan State University (2013) M.S. & Ph.D. Civil and Environmental Engineering, Carnegie Mellon University (2014 & 2017) Research interests span sustainable transportation systems, equity in mobility, and smart infrastructure. Recent work includes analyzing EV charging coverage, ride-hailing equity, and micromobility’s congestion reduction potential. Articles highlight themes like climate adaptation, algorithmic fairness in transit, and pandemic-related travel behavior shifts. Recipient of Elsevier ATLAS Best Paper Award (2016 TRB Young Member) Advising Ph.D. student Sofia Martinez (DOT Fellowship recipient). Prior experience includes consulting at Booz Allen Hamilton on cyber-physical systems for the USDOT. His lab’s projects include decarbonization strategies and EV policy analysis. Led studies on e-bike adoption in Seattle and EV charger network gaps, emphasizing equity and sustainability. Collaborates on Scott Institute seed grants for energy research and interdisciplinary teams like the Transportation Research Board.

Jörn Kohlhammerمشاهده پروفایل

استاد

• Information Visualization
• Visual Analytics
• Decision-Oriented Visualization
• +۳ مورد دیگر

Prof. Dr. Jörn Kohlhammer is an Honorary Professor at TU Darmstadt and Head of the Information Visualization and Visual Analytics department at Fraunhofer Institute for Computer Graphics Research IGD. His work focuses on decision-oriented visualization using semantics, visual business analytics, and applications in medical data analysis, internet security, and industrial sectors. He holds a PhD from TU Darmstadt (2005) and has authored over 50 publications in journals and conferences like IEEE VAST and EuroVis. Education: B.Sc./M.Sc. in Computer Science with Business Administration Minor (1993-1999), Ludwig-Maximilians-Universität München Research Interests: Context-dependent visualization solutions Medical data analysis and cohort visualization Decision support systems Visual analytics for cybersecurity and network traffic Professional Activities: Regular member of program committees for IEEE VAST, EuroVis Reviewer for journals/conferences including IEEE Transactions on Visualization and Computer Graphics Co-chair of IEEE VAST (2009) and founder of EuroVA (2010) Labs/Teams: Leads Fraunhofer IGD's Information Visualization & Visual Analytics group Projects: ATHENA, CorASiV (health authority support), SoBigData (social big data analytics)

Beatriz Soretمشاهده پروفایل

دانشیار

• Satellite Communications
• Internet of Things (IoT)
• Wireless Networks
• +۳ مورد دیگر

Beatriz Soret is an Associate Professor at Aalborg University's Department of Electronic Systems, part of The Technical Faculty of IT and Design. Her research focuses on satellite communications, IoT, wireless networks, and AI-driven network systems. She leads and collaborates on projects like STELLAR (2019-2021) and SATNEX V WI Y4.6 (2024-2025), addressing latency, reliability, and real-time data challenges in 6G and satellite networks. Her work emphasizes distributed computing, edge computing for Earth observation, and semantic communication frameworks. Key publications include advancements in RAN slicing for VR traffic, coded distributed computing, and AI-integrated network layers. She actively contributes to special issues on distributed intelligence and 6G technologies. Her research spans theoretical and experimental analyses of delay, age of information, and network performance in scenarios like LEO satellite constellations and industrial IoT. She collaborates with institutions globally, advancing non-terrestrial networks and smart connectivity solutions.

Hande Demirelمشاهده پروفایل

استاد

• GIS
• Remote Sensing
• Photogrammetry
• +۷ مورد دیگر

Prof. Hande Demirel is a Professor at the Department of Geomatics Engineering, Istanbul Technical University. She holds a PhD in Geoinformatics from Technical University of Berlin (2002). Her academic career includes roles as Associate Professor (2008–2019) and Assistant Professor (2004–2008) at ITU, alongside research at the European Commission Joint Research Center (2011–2014). She specializes in GIS applications, remote sensing, photogrammetry, and spatial data analysis. Education: B.Sc. (1996) and M.Sc. (1998) in Geodesy & Photogrammetry from ITU, followed by a PhD in Geoinformatics (2002) from TU Berlin. Awards include Best PhD Award (2003), DAAD Scholarship (2007), and Best Poster Award (2016). Research focuses on transportation accessibility, climate change impacts, 3D spatial modeling, and BIM-GIS integration. She leads projects like 'Building Information Model Based Fire Evacuation Simulation' (TUBITAK-funded) and 'Spatio-Temporal Accessibility Analysis in Istanbul'. Key contributions include over 30 peer-reviewed publications, including works on land use prediction, ship detection via AI, and indoor navigation systems. She advises numerous graduate students, with 15+ theses supervised since 2009. Active in professional societies including the German and American Associations for Remote Sensing.

Md Liakat Aliمشاهده پروفایل

دانشیار

• Machine Learning
• Artificial Intelligence
• Behavioral Biometrics
• +۳ مورد دیگر

Md Liakat Ali is an Associate Professor in the Department of Computer Science and Physics at Rider University, New Jersey. He holds a Ph.D. in Computer Science from Pace University and multiple Master's degrees from Blekinge Institute of Technology and International Islamic University Chittagong. His academic career includes roles at Rider University since 2018, prior positions at Caldwell University, Rowan University, and adjunct roles at several institutions. His research focuses on Machine Learning, Artificial Intelligence, Behavioral Biometrics, Cybersecurity, and Data Science. Notable contributions include studies on keystroke dynamics for authentication, phishing detection, and cybersecurity threats. He has received grants including an NSF award (Co-PI) for STEM education and multiple Best Paper Awards at IEEE conferences (2022, 2021, 2018, 2017). Ali has authored/co-authored over 40 publications, including a book on wireless security and journals in Electronics , IEEE Transactions , and conference proceedings. His work spans fraud detection, healthcare analytics, and blockchain security. He has led presentations on topics like biometrics, neural networks, and cybersecurity at international venues such as CVCI, IVSP, and IEEE conferences. Education: Ph.D., Computer Science, Pace University, New York M.S., Electrical Engineering, Blekinge Institute of Technology, Sweden B.S., Computer Science & Engineering, International Islamic University Chittagong His grants include NSF funding for STEM education initiatives and a Rider University grant for online course development. He has collaborated on projects like CUE-T to broaden computing participation and enhance active learning strategies. Ali’s lab focuses on cybersecurity, biometric systems, and machine learning applications. His research teams address challenges in fraud detection, medical diagnosis, and secure software development, reflecting his interdisciplinary approach to technological innovation.

Taufiquar Khanمشاهده پروفایل

استاد

• Applied Mathematics
• Inverse Problems
• Computational Mathematics
• +۳ مورد دیگر

Taufiquar Khan is a Professor and Chair of the Department of Mathematics and Statistics at the University of North Carolina at Charlotte (UNC Charlotte). Previously, he held professorial positions at Clemson University between 2000 and 2020, advancing from Assistant Professor to Professor of Mathematical Sciences. His academic leadership roles include Chair at UNC Charlotte since 2020 and various administrative roles at Clemson, including Associate Director for Graduate Studies and Director of Global Engagement Initiatives. He holds a Ph.D. in Applied Mathematics from the University of Southern California (2000) and degrees in Mathematics, Physics, and Aerospace Engineering from USC and Occidental College. His research focuses on inverse problems, computational mathematics, and their applications in biomedical imaging, engineering systems, and environmental science. Notable contributions include advancements in electrical impedance tomography, machine learning for inverse problems, and mathematical modeling of traffic systems. He has authored over 50 peer-reviewed publications and supervised multiple graduate students. Dr. Khan’s awards include a Humboldt Research Fellowship (2007) and Summer Faculty Fellowships at Brooks Air Force Laboratory. He has led international collaborations, including roles at Khalifa University and the University of Bremen. His work bridges theoretical mathematics with practical applications in healthcare, energy systems, and environmental sustainability.

Nurefşan Sertbaş Bülbülمشاهده پروفایل

پژوهشگر

• Time Sensitive Networks (TSN)
• Software Defined Networking (SDN)
• Network Security
• +۳ مورد دیگر

Dr. Nurefşan Sertbaş Bülbül is a Research Associate/Postdoc at the University of Hamburg's Department of Informatics, part of the Faculty of Mathematics, Informatics and Natural Sciences. She completed her PhD at the University of Hamburg in 2023 under Prof. Mathias Fischer, following two Bachelor's degrees (Electronics and Communication Engineering, Computer Engineering) from Istanbul Technical University and a Master's from Boğaziçi University. Her research focuses on programmable networks, TSN (Time Sensitive Networks), and network security. Key areas include SDN (Software Defined Networking), attack detection, and reinforcement learning applications in networking. Her work addresses critical challenges like DoS attack mitigation in TSN, dynamic path reconfiguration, and P4-based solutions for network security. She has contributed to publications at IEEE GLOBECOM, IFIP Networking, and other conferences. Her research emphasizes practical implementations and resilient network designs, particularly for mission-critical systems. She is part of the Computer Networks research group, previously known as the IT-Security and Security Management group. Dr. Bülbül's recent projects include developing TSN Gatekeeper mechanisms and Transparent TSN solutions for agnostic end-hosts, leveraging SDN and reinforcement learning. Her work bridges theoretical advancements and real-world network challenges, ensuring robust and adaptable network infrastructures.

• Prehospital Emergency Care
• Trauma Care
• Military Healthcare
• +۴ مورد دیگر

Jörgen Jansson is a Researcher and PhD holder at Karlstad University, specializing in prehospital care and emergency nursing education. He has over 20 years clinical experience as a registered nurse, with research focusing on professional practice development. He holds a unique position combining academic research with direct clinical experience in emergency care settings. His work bridges clinical practice and academic research. His research focuses on professional competence development in healthcare education, particularly in prehospital care settings. He has over 205 years's experience in military and civilian emergency care systems. His academic work emphasize the gap between clinical practice and academic curricula. His publications explore the intersection of clinical practice and education systems, questioning how formal education prepares practitioners for real-world emergency care challenges. Recent work explores how 6G and XR technologies could revolutionize remote healthcare education. Teaching responsibilities include undergraduate and postgraduate nursing programs at Karlstad University. He has developed specialist training modules for prehospital care, including simulation-based learning and trauma team leadership. Awards: No specific honors listed, but his influence evident through consistent publication in high-impact journals. Grants: None explicitly mentioned, though research likely funded through university or healthcare partnerships. Labs/Teams: Involved in MACSIM project ( develop trauma care training programs for military and civilian medics. Collaboratesates with defense medical services on simulation training protocols.