جست‌وجوی استاد و پژوهشگر

Lutz Ecksteinمشاهده پروفایل

استاد

• Automotive Engineering
• Automated Driving Systems
• Vehicle Dynamics
• +۴ مورد دیگر

Univ.-Prof. Dr.-Ing. Lutz Eckstein is the Head of the Institute of Automotive Engineering (ika) at RWTH Aachen University and a leading expert in automotive engineering. He concurrently serves as President of the VDI Association of German Engineers, President of the VDI Scientific Advisory Board for the Federal Ministry of Digital and Transport (BMDV), and Scientific Director of the NRW Competence Network for Automated and Connected Mobility. His professional background includes senior roles at BMW and DaimlerChrysler, focusing on vehicle safety, driver assistance systems, and ergonomics. Eckstein holds a Doctorate from the University of Stuttgart (2000) and received the Artur Fischer Prize (1995) for academic excellence. His research interests span automated driving systems, human-machine interfaces, scenario-based testing, and mobility infrastructure. He leads high-profile projects like UNICARagil and coordinates the Mobility and Transport profile at RWTH Aachen. Over 80 patents and publications reflect his contributions to automotive innovation, including advancements in sensor fusion, digital twins, and cooperative intelligent transport systems (C-ITS). His recent work emphasizes safety assurance for automated vehicles, scenario databases, and scalable simulation frameworks. Eckstein's interdisciplinary approach bridges academia and industry, driving transformative solutions for future mobility challenges.

Dirk Bergemannمشاهده پروفایل

استاد

• Game Theory
• Contract Theory
• Market Design
• +۵ مورد دیگر

Dirk Bergemann is the Douglass and Marion Campbell Professor of Economics at Yale University, with secondary appointments as Professor of Computer Science (School of Engineering) and Professor of Finance (School of Management). He holds a Ph.D. in Economics from the University of Pennsylvania (1994) and has been at Yale since 1995. Bergemann is a member of the Cowles Foundation for Research in Economics and a fellow of the American Academy of Arts and Sciences and the Econometric Society. His research focuses on game theory, contract theory, market design, and auction mechanisms, supported by grants from the NSF, Sloan Foundation, and others. His editorial roles include Co-Editor of the American Economic Review: Insights and former Co-Editor of Econometrica . He previously chaired Yale’s Department of Economics (2013–2019) and currently serves on the Econometric Society’s Executive Committee. His recent work explores data-driven pricing, digital advertising auctions, and the design of robust market mechanisms. Bergemann’s research bridges theoretical economics with practical applications in technology, finance, and public policy. Education: Ph.D. in Economics, University of Pennsylvania (1994) Awards: Fellowships from American Academy of Arts and Sciences, Econometric Society Grants: NSF, Sloan Foundation, Knight Foundation, Google Labs/Teams: Cowles Foundation for Research in Economics

Torsten Braunمشاهده پروفایل

استاد

• Machine Learning
• Networking and Telecommunications
• Edge Computing
• +۳ مورد دیگر

Prof. Torsten Braun is a Professor and Head of the Communication and Distributed Systems (CDS) research group at the Institute of Computer Science, University of Bern. His research focuses on advanced networking technologies, edge computing, and machine learning applications in telecommunications. He leads projects addressing challenges in 5G/6G networks, federated learning optimization, and intelligent systems for smart cities. His work integrates theoretical frameworks with practical implementations, emphasizing distributed systems, service-oriented architectures, and IoT security. Key research areas include edge caching strategies for VR/AR applications, trajectory prediction using reinforcement learning, and resilient network design against jamming attacks. Braun has contributed to innovations in vehicular networks (V2X), RAN intelligence, and decentralized machine learning frameworks. He holds leadership roles in developing adaptive resource management systems for edge-cloud environments and has pioneered solutions for energy-efficient federated learning in heterogeneous IoT ecosystems. Publications span topics like spatial-temporal point cloud sensing, mobility-aware service orchestration, and secure positioning systems. His team explores cross-disciplinary applications such as LoRaWAN-based urban heat monitoring and blockchain-inspired public key infrastructures for IoT (Veritaa-IoT). Braun actively engages in standardization and industry collaborations to advance next-generation network architectures.

Fred Langerakمشاهده پروفایل

استاد

• Product Development & Management
• New Product Development (NPD)
• Innovation Management
• +۹ مورد دیگر

Fred Langerak is a Full Professor and Chair of Product Development & Management at Eindhoven University of Technology (TU/e), within the Department of Industrial Engineering and Innovation Sciences. He serves as Vice-Dean of the department and has held roles such as chairman of the Innovation, Technology Entrepreneurship & Marketing (ITEM) group. His research focuses on enhancing the efficiency and effectiveness of product development processes, including fuzzy front end management, portfolio management, accelerated product development, and launch strategies. Academically, Langerak holds an MSc (1993) and PhD (1997) from the Erasmus School of Economics. Before TU/e, he worked as an Assistant and Associate Professor at Erasmus School of Economics and Rotterdam School of Management. He is an editorial board member of the Journal of Product Innovation Management and co-founded the Dutch PDMA chapter. His awards include the Christer Karlsson Best Paper Award (2017), Best Reviewer Award (2015), and a bronze listing in the JPIM Hall of Fame (2018). He has contributed to projects like Freight Traffic Management as a Service (2020–2023) and the Brabant Center of Entrepreneurship (2008–2013). His work addresses sustainable development goals through innovation in product lifecycle management and cross-industry collaborations.

Hadi Khorshidiمشاهده پروفایل

پژوهشگر ارشد

• Medical Data Mining
• Optimization
• Machine Learning
• +۳ مورد دیگر

Dr. Hadi Khorshidi is a Senior Research Fellow at the Cancer Health Services Research Unit within the Melbourne School of Population and Global Health at the University of Melbourne. He joined the CHSR Group in September 2021. Previously, he held roles as a Senior Data Analyst at the Institute for Safety, Compensation and Recovery Research (ISCRR) and as a Research Fellow in the School of Computing and Information Systems. His research focuses on medical data mining, optimization, machine learning, and uncertainty quantification applied to healthcare challenges, particularly in cancer research and injury outcomes. Dr. Khorshidi earned his PhD in Applied and Computational Mathematics from Monash University in 2016, with a thesis titled “System Reliability Optimisation via Uncertainty Quantification.” He holds prior academic and professional qualifications in related fields, including a Master’s and Bachelor’s degrees (specific details not provided in the text). His research interests span interdisciplinary domains, including medical data mining , optimization techniques , machine learning applications , and uncertainty quantification , with a focus on healthcare systems and cancer research. He has contributed to projects involving agent-based modeling for disease diagnosis, system dynamics modeling for genomic sequencing implementation, and improving decision-making through AI and collaborative human-machine approaches. Dr. Khorshidi has secured notable grants and awards, including the O&G Innovation Grant and a joint research grant through the Manchester-Melbourne Research Fund. These support his work on integrating advanced technologies into healthcare decision-making and cancer management strategies. In addition to his research, he serves as a Chief Investigator in the Manchester-Melbourne Research Fund project. His collaborative efforts include editorial roles in journals such as the International Journal of System Assurance Engineering and Management , and contributions to program committees for IEEE conferences. He is affiliated with the Cancer Health Services Research Unit and collaborates with the CHSR Group, contributing to interdisciplinary teams focused on advancing healthcare solutions through data-driven methodologies.

Chamitha De Alwisمشاهده پروفایل

مدرس ارشد

• AI Security
• Cybersecurity
• Network Security
• +۵ مورد دیگر

Dr. Chamitha De Alwis is a Senior Lecturer in the School of Computer Science & Technology at the University of Bedfordshire, within the Faculty of Creative Arts, Technologies & Science. He holds a B.Sc. (First Class Honors) in Electronic and Telecommunication Engineering from the University of Moratuwa, Sri Lanka, and a Ph.D. in Electronic Engineering from the University of Surrey, UK. He is a Senior Member of the IEEE and a Fellow of the Higher Education Academy. Research Interests: Dr. De Alwis focuses on AI Security, Cybersecurity, Network Security, 5G/6G technologies, Blockchain, and Edge Computing. His work spans cutting-edge areas such as quantum technologies for next-gen networks, smart grid security, and healthcare applications of edge computing. He has secured competitive research grants and contributes to high-impact projects in collaboration with industry and academia. Teaching Areas: Cybersecurity, Network Security, and Mobile Communication. He actively supervises PhD students in these domains, including Mr. Mohammad Ahmad, Mr. Ahmad Kanbour, and Ms. Charithri Nanayakkara. Publications: His recent work explores Edge AI, 6G architectures, blockchain in energy systems, and eHealthcare innovations. Notable trends include integrating AI with edge computing for real-time applications and addressing security challenges in 6G networks. Awards/Honors: Fellow of the Higher Education Academy (2024) Senior Member, IEEE (2021) Grants & Collaborations: Secured multiple research grants supporting projects in Edge Computing, 6G technologies, and Smart Grid applications. Engaged with interdisciplinary teams in the Institute for Research in Applicable Computing (IRAC) and the Institute for Research in Engineering and Sustainable Environment (IRESE). Labs & Teams: Affiliated with the School’s research institutes, contributing to initiatives in robotics, AI, and sustainable engineering. Involved in collaborative projects with industry partners to advance edge computing and cybersecurity solutions.

Bruno Sinopoliمشاهده پروفایل

استاد

• Cyber-Physical Systems (CPS)
• Networked Control Systems
• Smart Infrastructures
• +۷ مورد دیگر

Bruno Sinopoli is a Professor in the Electrical and Computer Engineering Department at Carnegie Mellon University, with courtesy appointments in the Robotics Institute and Mechanical Engineering Department. He holds affiliations with ICES, CyLab, and the Pittsburgh Digital Studio (PDL), and co-directs the Smart Infrastructure Institute (SII). His research focuses on cyber-physical systems, networked control systems, and resilient infrastructure, addressing challenges in smart grids, wireless sensor networks, and cybersecurity. Education: Ph.D. (2005), M.S. (2003), and Laurea (1998) in Electrical Engineering from UC Berkeley, Università di Padova, and University of California, Berkeley, respectively. Notable awards include the George Tallman Ladd Research Award (2010), NSF Career Award (2010), and Eliahu Jury Award (2006). Research Interests include networked embedded control systems, cybersecurity for critical infrastructure, and smart city technologies. He has led projects funded by NSF, NIST, and industry, such as a $3.2M NIST grant for first responder communication systems and NSF CRISP grants for infrastructure resilience. Key contributions include frameworks for secure control systems, resilient sensor networks, and adaptive video streaming algorithms. His work bridges theoretical control systems with practical applications in energy, transportation, and urban infrastructure. Students supervised include doctoral candidates like Dragana Bajovic (A.G. Milnes Award winner) and Yilin Mo, as well as master’s students in localization and control systems. Active collaborations span robotics, mechanical engineering, and interdisciplinary initiatives in smart infrastructure.

Burcu Akinciمشاهده پروفایل

استاد

• Construction Engineering and Management
• Building Information Modeling (BIM)
• Infrastructure Systems
• +۵ مورد دیگر

Dr. Burcu Akinci is the Paul Christiano Professor and Department Head of Civil and Environmental Engineering at Carnegie Mellon University (CMU), with a courtesy appointment in Electrical and Computer Engineering. She holds a BS from Middle East Technical University, an MBA from Bilkent University, and MS/PhD from Stanford University. Her research focuses on integrating BIM with 3D imaging/sensor data to create digital twins for construction and infrastructure management, emphasizing predictive operations and fault diagnosis in HVAC systems. She has secured over $16M in grants, authored 70+ journal papers, and pioneered methodologies for as-built BIM generation and infrastructure monitoring. Education : PhD 2000 - Stanford University (Civil & Environmental Engineering) MS 1995 - Stanford University MBA 1993 - Bilkent University BS 1991 - Middle East Technical University Research Interests : Dr. Akinci develops technologies to streamline construction and infrastructure operations through digital twins. Key areas include: BIM integration with IoT/sensor networks 3D imaging for asset management Fault detection in HVAC systems Autonomous environmental control for space habitats Predictive maintenance using AI Grants & Patents : $6M+ PI grants, $10M+ co-PI grants (federal/state/industry) 2 patents issued, 1 provisional patent Labs & Teams : Active in the Scott Institute for Energy Innovation, leading projects on smart buildings and infrastructure resilience.

Senem Velipasalarمشاهده پروفایل

استاد

• Machine Learning
• Computer Vision
• Wireless Smart Camera Networks
• +۸ مورد دیگر

Senem Velipasalar is a Professor in the Department of Electrical Engineering and Computer Science (EECS) at Syracuse University, affiliated with the Smart Vision Systems Laboratory and the Aging Studies Institute. She holds a Ph.D. and M.A. from Princeton University, an M.S. from Brown University, and a B.S. from Bogazici University. Her research focuses on machine learning, computer vision, and wireless smart camera systems, with applications in human activity classification, driver behavior analysis, and defense against adversarial attacks. Her honors include the NSF CAREER Award (2011), 2021 IEEE Technological Innovation Award, and multiple doctoral prizes for her advisees. She leads grants totaling over $4M, including ARPA-E projects on occupancy detection and DOE-funded research on aerial energy modeling. Research interests span embedded vision, distributed multi-camera tracking, and energy-efficient algorithms. Her lab develops technologies like wearable camera-based fall detection and autonomous UAV navigation. Notable publications include works on adversarial attacks, fNIRS brain activity analysis, and thermal pedestrian detection.

Md Mamunur Rashidمشاهده پروفایل

استادیار

• Coastal Hazards
• Hydro-meteorological Extremes
• Climate Change Impacts
• +۳ مورد دیگر

Dr. Md Mamunur Rashid is an Assistant Professor in the Division of Coastal Sciences at the University of Southern Mississippi's School of Ocean Science and Engineering. His primary research focuses on coastal hazards, hydro-meteorological extremes, and climate change impacts. He holds a Ph.D. in Water Engineering (2016) from the University of South Australia and an MSc in Environmental Engineering (2008) from Nanyang Technological University, Singapore. Education: PhD in Water Engineering, University of South Australia (2016) MSc in Environmental Engineering, Nanyang Technological University (2008) Research Interests: Quantifying coastal hazards (e.g., flood, extreme rainfall, storm surges) Modeling climate-driven changes in hydro-meteorological extremes Infrastructure resilience under climate scenarios Socio-environmental system impacts of extreme events His work emphasizes interdisciplinary approaches, combining machine learning, remote sensing, and statistical modeling. Publications highlight advancements in storm surge prediction, compound flood analysis, and satellite-based flood mapping. Recent trends focus on integrating AI techniques for real-time hazard assessment and climate change adaptation strategies. Labs/Teams: Leads the CoHEx (Coastal Hazards and Hydrometeorological Extremes) research group, focusing on coastal resilience and extreme event mitigation.

Qun Liمشاهده پروفایل

استاد

• Edge Computing
• Operating Systems
• Distributed Systems
• +۳ مورد دیگر

Qun Li is a Professor of Computer Science at the College of William and Mary, leading the Edge Computing Laboratory. He holds an IEEE Fellow distinction and has served as Graduate Director (2010-2011). His research focuses on edge computing, operating systems, distributed systems, and security & privacy, with over 100 publications in top venues like ACM CCS, ICSE, and NSDI. Li has advised numerous PhD students, including Zhengrui Qin and Ed Novak, who now hold academic positions. He chairs conferences including ACM/IEEE Symposium on Edge Computing (SEC'22) and has editorial roles at IEEE Internet Computing and Transactions on Computers. Key awards include an NSF Career Award. His work emphasizes building prototype systems and addressing real-world challenges in edge computing and quantum networks. Education: PhD from Dartmouth College under Daniela Rus Research interests span edge computing architecture, secure deep learning, federated learning, and quantum computing applications. His Edge Computing Group explores scalable solutions for distributed systems and privacy-preserving technologies. Recent publications (2022-2024) focus on quantum networks, federated learning robustness, and privacy-preserving algorithms. A notable trend is integrating quantum computing with edge systems for enhanced security and efficiency. Awards: NSF Career Award (year unspecified), IEEE Fellow (year unspecified) Advised students have transitioned to academia and industry roles, reflecting Li's mentorship impact. Active in conference organization, he has led program committees for ACM SEC and IEEE ICDCS, while steering editorial boards in computer networks and systems. Current projects include quantum network routing and Byzantine-tolerant federated learning.

• Distributed Systems
• Cybersecurity
• Data Privacy
• +۶ مورد دیگر

Ashiq Anjum is a Professor of Distributed Systems at the College of Science and Engineering. His research focuses on cybersecurity, privacy-preserving technologies, blockchain applications, machine learning, and IoT systems. He has contributed to advancements in distributed systems, vehicular networks (VANETs), smart grids, and federated learning frameworks. His work emphasizes integrating blockchain for secure data aggregation and leveraging AI techniques for data interpretation and privacy protection. Key research areas include secure communication in drone networks, privacy in vehicular systems using IOTA ledgers, and federated learning with differential privacy. He explores graph models for genomic data analysis and healthcare applications. His publications span journals like Elsevier Information Sciences , Future Generation Computer Systems , and Neurocomputing . Collaborations include projects on data imputation for environmental sensing, deep learning pipelines in cloud computing, and optimizing video analytics for smart cities. His work bridges theoretical computer science with practical applications in IoT, healthcare, and urban sustainability.

Alan Walshمشاهده پروفایل

مدرس پاره‌وقت

• Information Technology
• Cloud Computing
• Data Science
• +۲ مورد دیگر

Alan Walsh is an Adjunct Instructor at Indiana University's Paul H. O'Neill School of Public and Environmental Affairs and a data engineer at the Pervasive Technology Institute. With 25 years of IT experience, he specializes in cloud computing infrastructure, big data analytics, and identity management systems for academic research environments. Education: M.S. in Business Analytics, Indiana University B.A. in Religious Studies, Indiana University His research integrates Information Technology, Cloud Computing, and Data Science to develop secure, scalable solutions for research data management. Key focus areas include identity and access systems, multi-tenant database architectures, and cloud-based transcription services enabling large-scale social science analysis. Publications from 2020-2024 reveal consistent innovation in research data infrastructure, with emphasis on granular access control, bibliographic data services, and climate modeling science gateways. His work bridges computer science with domain-specific research needs across social sciences and environmental studies. Awards: O'Neill Adjunct Teaching Award (2023) Walsh leads inter-institutional initiatives including the Committee on Institutional Collaboration's Identity Management Taskforce. His conference presentations and collaborative publications demonstrate active engagement with national research computing communities, though formal student advising is not documented. He contributes to Indiana University's Pervasive Technology Institute through projects like Scholarly Data Share, CADRE, and FutureWater Indiana, developing infrastructure for secure data sharing, bibliographic analysis, and environmental modeling.

Razvan Stanicaمشاهده پروفایل

دانشیار

• Wireless Networking
• Cellular Networks
• Energy Efficiency
• +۶ مورد دیگر

Razvan Stanica is an Associate Professor at the Telecommunications department of INSA Lyon and a member of the CITI laboratory and Inria Agora team. His research focuses on wireless networks, cellular architectures, energy efficiency, and mobile data analytics. He holds a PhD from the National Polytechnic Institute of Toulouse and has supervised numerous PhD and master's students in areas like vehicular networks and IoT. Education: Bachelor's and Master's from Politehnica University of Bucharest and National Polytechnic Institute of Toulouse (2008) PhD in Vehicular Networks from National Polytechnic Institute of Toulouse (2011) Research Interests: 5G/6G cellular networks, IoT, and energy-efficient designs Mobile data analytics and urban mobility modeling Vehicular networks (VANETs) and disaster communication systems Network slicing and privacy-preserving technologies Awards: Recognized as one of France's best junior researchers in computer networks (2021). His PhD was nominated for the Léopold Escande Prize (2011). Key Projects: ECOMOME (CHIST-ERA-funded project on energy consumption in cellular networks) SafeCityMap (Inria-funded pandemic mobility analysis) PEPR NAI (self-deployable mobile networks) Labs/Teams: CITI Lab and Inria Agora team at INSA Lyon, collaborating with institutions like ETS Montreal and Nokia Bell Labs.

• Economics
• Marketing
• International Management
• +۳ مورد دیگر

Sonja Bidmon is an Associate Professor at the Department of Marketing and International Management within the Alpen-Adria-Universität Klagenfurt. She is affiliated with the university's economics discipline and actively contributes to the Curricular Commission for the Extension Curriculum Gender Studies. Her research interests span marketing strategies, international management dynamics, and digital communication in political contexts. She has published extensively on topics including political microtargeting avoidance, sustainable business models, and interdisciplinary migration methodologies. Her work integrates theoretical frameworks with practical applications, addressing contemporary challenges in digital ecosystems, media literacy, and entrepreneurial sustainability. Bidmon has collaborated on projects such as the Erasmus+ education initiatives and contributed to studies on media trust and crisis communication. Her academic engagements include editorial roles in journals and presentations at international conferences like the European Media Management Association. With a focus on innovation and societal impact, her research bridges academic rigor with real-world relevance in global and local contexts.