جست‌وجوی استاد و پژوهشگر

Jing Fuمشاهده پروفایل

مدرس

• Artificial Intelligence
• Machine Learning
• Telecommunications
• +۶ مورد دیگر

Dr. Jing Fu is a Lecturer at the School of Engineering, RMIT University in Australia. Her research focuses on applying optimization algorithms and machine learning to telecommunications, wireless networks, and edge computing. She specializes in restless bandit models for dynamic resource allocation, multi-agent coordination, and energy-efficient systems design. Key areas include satellite communications, radar systems, and distributed computing architectures. Her work bridges theoretical operations research with practical applications in 5G/6G networks, UAV communication platforms, and smart sensor networks. She has published extensively on topics like beam scheduling, edge computing offloading strategies, and adaptive wireless protocols. Current supervision interests span neural networks for sensor systems, IoT resource allocation, and next-generation mega satellite networks. Research Themes: AI-driven network optimization, distributed radar systems, energy-efficient edge computing Key Projects: Reinforcement learning-based IoT resource allocation 6G wireless communication with AI integration Optimal beam scheduling for phased array radars Collaborations: Active in multi-disciplinary projects involving telecommunications, aerospace engineering, and computer science Dr. Fu supervises research projects on neural networks for telecommunications, adaptive wireless techniques, and satellite formation flying. She is based at RMIT's City Campus and open to guiding postgraduate research in her areas of expertise.

Robert G. Kingمشاهده پروفایل

استاد

• Macroeconomics
• Monetary Economics
• Economic Growth

Robert G. King is a Professor at Boston University, specializing in Macroeconomics, Monetary Economics, and Economic Growth. He holds a PhD from Brown University and maintains an office at SSW 502. His research focuses on monetary policy credibility, inflation dynamics, and macroeconomic stability, with recent work exploring regime shifts and policy design in open economies. He actively advises BU's graduate students via scheduled Zoom meetings. Education: PhD in Economics from Brown University. His work bridges theoretical models (e.g., New Keynesian frameworks) with empirical analysis of inflation and productivity shocks. Notable contributions include studies on central bank credibility and the Volcker disinflation. Research Interests: King’s work addresses core macroeconomic questions such as how monetary policy expectations shape economic outcomes, the role of firm-level productivity shocks, and the implications of globalization for inflation-output tradeoffs. He also explores automation in systems management and telecommunications infrastructure optimization. Grants and Advising: While specific grants are not listed, his extensive publication record indicates sustained research activity. Students engage with him via BU’s Zoom platform, requiring appointment scheduling via Google Calendar. No lab affiliations are explicitly mentioned in the provided texts.

Jangho Parkمشاهده پروفایل

استادیار

• Ergonomic intervention
• Assistive technology
• Postural control assessment
• +۴ مورد دیگر

Dr. Jangho Park is an Assistant Professor in the Department of Industrial & Systems Engineering at Texas A&M University. His research focuses on ergonomic interventions, assistive technologies (e.g., exoskeletons), and biomechanical modeling to enhance workplace safety and human performance. He holds a Ph.D. in Occupational Ergonomics and Safety from Virginia Tech, and master's and bachelor's degrees in Biomedical Engineering from Kyung Hee University, South Korea. Education: Ph.D., Industrial and Systems Engineering (Occupational Ergonomics and Safety), Virginia Tech M.E., Biomedical Engineering, Kyung Hee University B.E., Biomedical Engineering, Kyung Hee University Research Interests: Ergonomic interventions to reduce musculoskeletal disorders Development and assessment of assistive technologies (e.g., exoskeletons) Postural control and balance recovery mechanisms Biomechanical modeling of human movement and load-bearing Effects of vibration exposure on occupational safety Research Trends: Dr. Park’s work emphasizes the integration of biomechanics, human factors, and wearable technologies. His recent studies explore how exoskeletons affect gait dynamics, postural stability, and balance recovery, while also investigating vibration-induced risks in heavy vehicle operations. Awards & Grants: No awards explicitly listed in the provided text. His grants and funding sources are omitted due to lack of explicit mention. Labs & Teams: No specific lab affiliations or collaborative teams are mentioned in the text.

Jens Myrup Pedersenمشاهده پروفایل

استاد

• Cybersecurity
• Network Security
• Machine Learning
• +۵ مورد دیگر

Jens Myrup Pedersen is a Professor at Aalborg University's Department of Electronic Systems within The Technical Faculty of IT and Design. He is affiliated with the Cyber Security Group and focuses on improving digital wellbeing through cybersecurity research. His primary research interests include botnets, network security, machine learning applications in cybersecurity, and cybersecurity education. He leads or participates in projects such as Cyber Safe Robotics , AI:SECURITY , and GAMESS , addressing topics like AI-driven security, gamification in education, and secure software development. Pedersen has contributed to over 235 publications since 2003, emphasizing cybersecurity threats, network analysis, and educational methodologies. His work extends to cybersecurity training platforms like Haaukins and The Privacy Universe , designed to enhance user awareness through gamification. Pedersen collaborates internationally, engaging in initiatives like the European Cyber Security Challenge and cybersecurity hackathons. He holds roles in professional organizations such as the Danish Cybersecurity Board and the IDA association. Recent research highlights include NLP security ethics, OT cyber resilience, and cryptocurrency forecasting tools. His projects often bridge academia and industry, focusing on real-world impact through student-driven projects and cross-disciplinary collaborations.

• Mechanical Engineering
• Multibody Dynamics
• Nonlinear Mechanics
• +۷ مورد دیگر

Shabana Ahmed is the Richard and Loan Hill Professor of Engineering at the University of Illinois at Chicago (UIC), affiliated with the Urban Transportation Center. Her expertise spans mechanical engineering, multibody dynamics, nonlinear mechanics, and computational mechanics, with a focus on vehicle systems analysis, railroad engineering, and soft robotics. She holds a prominent role in advancing geometrically accurate finite element methods and ANCF approaches for analyzing complex mechanical systems. Her research integrates theoretical mechanics with practical applications in transportation, robotics, and material science. Her work includes studies on railroad vehicle dynamics, soft material behavior, and thermal-elastic coupling in articulated systems. Notable contributions include developing numerical methods for analyzing gear systems, beam elements, and liquid sloshing problems. She also explores the application of Lagrangian principles and Frenet force analysis in performance evaluation of mechanical systems. Shabana Ahmed has published extensively on topics such as constrained large-displacement thermal analysis, nonlinear strain measures, and the mechanics of flexible robots. Her research bridges computational methods with real-world engineering challenges, emphasizing accuracy and practical implementation.

Francesco Lelliمشاهده پروفایل

استادیار

• Artificial Intelligence
• Data Science
• Digitalization
• +۷ مورد دیگر

Francesco Lelli is an Assistant Professor at Tilburg School of Economics and Management (TiSEM), Tilburg University, where he holds a position in the Department of Information Systems and Operations Management. His academic work bridges theoretical research with practical applications in digitalization, smart technologies, and industry transformation. He actively contributes to the Master in Information Management program, teaching Business Process Integration and Service-Oriented Architecture courses. His research focuses on human-device interaction, artificial intelligence ethics, Industry 4.0 applications, and data-driven decision-making. He has published extensively on topics like smart device agency, cybersecurity in financial systems, and interoperability frameworks. Notable datasets include studies on S&P500 security breaches and human-smart device relationships. Recent publications highlight trends in AI ethics, Industry 4.0 digital twins, and sociotechnical system analysis. His work emphasizes societal relevance, with projects addressing technology adoption challenges and ethical dimensions of emerging technologies. Francesco maintains an open-door policy for collaboration and mentorship, offering thesis guidance in information systems, cloud computing, and AI applications. He actively engages with industry partners to ensure research translates into real-world impact.

Dean F. Hougenمشاهده پروفایل

استاد

• Artificial Intelligence
• Robotics
• Machine Learning
• +۵ مورد دیگر

Dean F. Hougen is the Lloyd and Joyce Austin Presidential Professor and Director of the School of Computer Science at the University of Oklahoma, within the Gallogly College of Engineering. He also holds affiliations with the School of Electrical and Computer Engineering, Data Science and Analytics Institute, and has served as Interim Director and Associate Director of the School of Computer Science. His research focuses on artificial intelligence, robotics, machine learning, and distributed systems, conducted in labs like the Robotic Intelligence and Machine Learning Laboratory and the Artificial Intelligence Research (AIR) SuperLab. Key areas include evolutionary computation, autonomous systems, and applied AI in healthcare and transportation. He has led over $24M in grants, including projects on intelligent aerospace systems, pandemic monitoring, and robotics for infrastructure safety. Notable awards include the Presidential Professorship, multiple best paper awards, and recognition for teaching excellence. Hougen has advised numerous students and contributed to interdisciplinary initiatives, including the CS INCLUDES program supporting Indigenous learners. His work spans academic leadership, industry collaborations, and advancing AI applications across domains.

Grégory Battمشاهده پروفایل

پژوهشگر

• Systems biology
• Synthetic biology
• Quantitative modeling
• +۱۵ مورد دیگر

Grégory Batt is a Researcher and Head of the InBio joint research group at the Institut Pasteur and Inria Paris. The lab operates at the intersection of wet and dry biology, focusing on systems and synthetic biology with an emphasis on automation, modeling, and real-time control of cellular processes. The team is affiliated with both institutions and hosts a multidisciplinary group of researchers, engineers, and students. The research interests of Grégory Batt span systems biology, synthetic biology, quantitative modeling, lab automation, bioproduction, and single-cell analysis . His work integrates computational and experimental approaches to develop frameworks for understanding and controlling cellular behavior. Key methodologies include the use of synthetic biology, microfluidics, optogenetics, and robotics. The lab has developed innovative software tools such as ReacSight and MicroMator to enable automated and reactive experimentation. Recent publications highlight trends in real-time control of bioproduction, optimization of protein secretion, parameter inference in stochastic models, and ecological frameworks for antibiotic resistance . These works demonstrate a strong focus on integrating modeling with high-throughput experimentation to solve problems in biotechnology and medicine. Scientific contributions include: Development of ReacSight for bioreactor automation and reactive control Creation of MicroMator for reactive microscopy Application of ecological concepts to bacterial antibiotic responses Modeling stochastic kinetics coupled with auxiliary processes Batt advises several PhD students and postdoctoral researchers, including Henri Galez, Alicia Da Silva, Cecilia Capela, and Viktoriia Gross. His lab has received support from ANR, Inria, and other funding bodies. The InBio team operates a state-of-the-art laboratory equipped with bioreactors, liquid handling robots, flow cytometers, automated microscopes, and high-performance computing resources, enabling advanced research at both population and single-cell levels. The lab, located at the Yersin and Lwoff buildings of the Institut Pasteur in Paris, fosters a collaborative environment integrating molecular biology, microbiology, and computational modeling to advance quantitative understanding of cellular systems.

Tamas Koltaiمشاهده پروفایل

استاد

• Operations Management
• Industrial Engineering
• Production Planning
• +۱۲ مورد دیگر

Tamas Koltai is a Professor at the Budapest University of Technology and Economics, affiliated with the Department of Management and Corporate Economics within the Faculty of Economic and Social Sciences. He holds a PhD in Industrial Engineering and is actively contributing to research in operations management, production planning, and industrial engineering. His research interests include: Operations Management Industrial Engineering Production Planning Assembly Line Balancing Human-Robot Collaboration Data Envelopment Analysis (DEA) Supply Chain Management Learning Curves Flexible Manufacturing Systems Performance Evaluation His recent publications focus on applying mathematical programming models (MILP, CP), simulation, and DEA to optimize assembly lines, particularly under learning effects and human-robot collaboration. He explores workload distribution, cycle time optimization, and efficiency evaluation in both manufacturing and service sectors, including healthcare and business simulation games. His work bridges theoretical models with practical industrial applications, supporting managerial decision-making under uncertainty. While no specific scientific awards are listed, his extensive publication record (over 50 papers) and high citation count reflect significant academic impact. He frequently collaborates with researchers such as Imre Dimény, Noémi Kalló, Viola Gallina, and Rita Dénes. There is no public information on PhD students advised or grants received. His work does not mention specific labs or research teams, but his focus on applied operations research suggests strong industry collaboration potential.

Linda Olafsenمشاهده پروفایل

دانشیار

• Photonics
• Semiconductor Optoelectronics
• Mid-Infrared Lasers
• +۲۱ مورد دیگر

Linda Olafsen is an Associate Professor in the Department of Electrical & Computer Engineering at Baylor University’s School of Engineering and Computer Science. She holds a PhD in Physics from Duke University and has held academic positions at the University of Kansas and Baylor University since 1999. Her research spans photonics, semiconductor optoelectronics, and biomedical device development. PhD, Physics, Duke University (1997) MA, Physics, Duke University (1994) AB, Physics, Princeton University (1991) Her research focuses on mid-infrared semiconductor lasers, optoelectronic devices, graphene-semiconductor integration, and biomedical applications such as endovascular navigation and glucose monitoring. She leads the Semiconductor Optoelectronics Laboratory, where her team develops advanced mid-IR lasers, characterizes 2D/3D material interfaces, and engineers sensors for medical use. Her work bridges fundamental physics with practical engineering solutions in healthcare and defense. The recent publications show a strong trend toward mid-infrared optoelectronics , particularly interband cascade lasers , graphene-based contacts , and biomedical sensing . Her team integrates optical, thermal, and electrical characterization to improve laser efficiency and device performance. Applications span infrared countermeasures, chemical sensing, and endovascular robotics. Scientific Awards and Professional Leadership: Chair, Congressional Visit Day Subcommittee, MRS (2012–2016) Chair, Policy Outreach Working Group, MRS Government Affairs Committee Book Review Board Chair, MRS Bulletin Editorial Board Member, MRS Bulletin Lifetime Member, American Physical Society, OSA, and SPIE Senior Member, IEEE and IEEE Photonics Society Linda Olafsen actively mentors undergraduate and graduate students, involving them in research on laser development, material characterization, and biomedical device design. She has secured funding for projects in mid-IR lasers and sensing technologies. Her lab offers opportunities in device fabrication, graphene integration, beam profiling, and LabVIEW programming. She leads the Semiconductor Optoelectronics Laboratory , which focuses on: Mid-infrared semiconductor laser development Graphene-semiconductor optoelectronic devices Endovascular navigation using shape-memory alloys In vivo infrared and ultrasound sensing Beam and thermal profiling Device fabrication and characterization

Rüdiger von Eisenhart-Rotheمشاهده پروفایل

استاد

• Regenerative Medicine
• Osteoarthritis Research
• Osteo-Oncology
• +۷ مورد دیگر

Prof. Dr. Rüdiger von Eisenhart-Rothe is a full Professor and Chair of Orthopedics at the Technische Universität München (TUM), leading the Department of Orthopedics and Sports Orthopedics at the Klinikum rechts der Isar. His research focuses on regenerative medicine, osteo-oncology, endoprosthetics, and the application of machine learning in surgical planning. He completed his medical studies at LMU Munich and business administration at the University of Hagen, followed by a habilitation in orthopedics at Frankfurt’s Friedrichsheim Hospital. Notably, he received the Perthes Prize twice (2003, 2010) for contributions to shoulder and elbow surgery. His work integrates advanced imaging techniques, virtual planning, and biomaterial research to address challenges in joint replacement, infection control, and sarcoma management. Recent projects emphasize AI-driven diagnostic tools and personalized surgical approaches. Prof. von Eisenhart-Rothe collaborates with interdisciplinary teams to advance clinical outcomes in orthopedic surgery, particularly in knee and hip arthroplasty. Awarded the Perthes Prize twice, his contributions span academic leadership, clinical innovation, and translational research at TUM’s School of Medicine and Health. Current initiatives include optimizing prosthetic alignment via 3D modeling and evaluating synovial biomarkers for infection diagnosis.

Vasileios Belagiannisمشاهده پروفایل

استادیار

• Computer Vision
• Machine Learning
• Deep Learning
• +۳ مورد دیگر

Dr. Vasileios Belagiannis is an Assistant Professor at the University of Ulm within the Faculty of Engineering, Computer Science and Psychology. He holds a BEng in Engineering from Democritus University of Thrace (2009), an MSc in Computational Science and Engineering from TU Munich (2011), and a PhD from TU Munich (2015), supervised by Prof. Nassir Navab and Dr. Slobodan Ilić. Previously, he served as a postdoctoral research assistant at the University of Oxford's Visual Geometry Group (Prof. Andrew Zisserman) and worked as a senior researcher at OSRAM. Research Interests: Belagiannis focuses on bridging computer vision and medical applications. His work includes deep learning for object tracking, deformable object modeling, and human pose estimation in surgical contexts. Notable areas include Crowdsourcing for Healthcare , Deep Learning for Regression , and Humans in the Operating Room . Teaching: He leads courses such as Computer Aided Medical Procedures , Medical Augmented Reality , and Computational Surgineering . Recent lectures include Deep Learning for Medical Applications and Modern Computer Vision Methods . Labs & Affiliations: He collaborates with the Chair of Computer Science Applications in Medicine (Prof. Navab) and contributes to research labs like NARVIS and DHM. His work intersects robotics, ultrasound, and vision-language systems in surgical data science.

• 6G Networks
• Telemedicine
• Medical Robotics
• +۳ مورد دیگر

Nicolai Kröger is a researcher at the Chair of Communication Networks (Prof. Kellerer) at the Technical University of Munich (TUM). He holds an M.Sc. in Electrical and Computer Engineering from TUM, where his thesis focused on P4 switch performance modeling using queuing theory. His current research centers on 6G networks for critical telemedicine applications, particularly within the 6G-Life project, emphasizing end-to-end communication for medical robotics and surgical systems. He contributes to projects like the 6G Future Lab Bavaria and collaborates with the MITI group at Rechts der Isar Hospital to develop medical testbeds requiring high availability and low latency. Kröger also supervises student theses on 5G/6G security, network optimization, and in-network computing. His technical expertise spans programmable networks (P4), SDN, and performance analysis of network devices. He serves as a supervisor for student projects and internships, including implementations of medical testbeds and security analyses of cellular broadcast messages. His work bridges academic research with practical applications, aiming to advance communication networks for healthcare and future 6G systems.

Oliver Höftbergerمشاهده پروفایل

پژوهشگر

• Cyber-Physical Systems
• Real-Time Systems
• Embedded Systems
• +۵ مورد دیگر

Oliver Höftberger is affiliated with TU Wien's Institut für Technische Informatik , part of the Faculty of Informatics. His research focuses on Cyber-Physical Systems , Real-Time Systems , Embedded Systems , and Resilient Systems-of-Systems . He has contributed to frameworks for self-healing cyber-physical systems and resilient master clocks, emphasizing fault tolerance and dynamic reconfiguration. Publications highlight work on emergence phenomena in systems-of-systems, ontology-based runtime adaptation, and multi-core processor architectures like the ACROSS MPSoC for safety-critical applications. He has advised multiple PhD and Master’s students, including Denise Ratasich, Nazir Alakhras, and Julian Grahsl. Key projects include the universAAL platform for Ambient Assisted Living and sensor fusion packages for robotics (ROS). His research bridges theoretical systems modeling with practical implementations in complex, safety-critical domains.

Georgia Dedeمشاهده پروفایل

استادیار

• Cybersecurity
• Telecommunications
• Operations Research
• +۵ مورد دیگر

Georgia Dede is an Assistant Professor at the Department of Informatics and Telematics, School of Digital Technology, Harokopio University of Athens. Her expertise lies in evaluating systems and electronic services, with a focus on cybersecurity, telecommunications, and operations research. She holds a PhD from National and Kapodistrian University of Athens (2015), a Master’s in Management and Economics of Telecommunications Networks (2007), and an undergraduate degree in Informatics and Telematics (2005). Education: PhD: Decision Making Methods and Uncertainty Study (2015), National and Kapodistrian University of Athens Master’s: Management and Economics of Telecommunications Networks (2007), National and Kapodistrian University of Athens Bachelor’s: Informatics and Telematics (2005), National and Kapodistrian University of Athens Research Interests: Georgia’s research spans cybersecurity frameworks, pairwise comparison methodologies for decision-making, and economic modeling of telecommunications infrastructure. She explores topics like resilient IoT systems, AI applications in governance, and competitive dynamics in energy and telecom markets. Her work integrates technical and socio-economic perspectives to address challenges in network security, service evaluation, and policy design. Grants and Projects: Leading and participating in EU-funded programs under Horizon Europe and Digital Europe initiatives Prior roles as senior advisor/administrator at Netcompany Intrasoft and ENISA Labs/Teams: Her involvement in projects at Harokopio University and collaborations with institutions like the University of Patras emphasize applied research in digital technology and policy innovation.