جست‌وجوی استاد و پژوهشگر

• Quantum Communications
• Quantum Sensing
• Wireless Communications
• +۷ مورد دیگر

Professor Robert Malaney is a faculty member in the School of Engineering, Department of Electrical Engineering and Telecommunications at the University of New South Wales (UNSW), Sydney, Australia. He has held previous academic positions at the California Institute of Technology (USA), the University of California (USA), the University of Toronto (Canada), and the CSIRO (Australia). Professor Malaney specializes in quantum communications, quantum sensing, wireless communications, optical communications, satellite communications, quantum physics, and astrophysics. His research focuses on developing practical quantum communication systems with particular emphasis on satellite-based applications. He has made significant contributions to quantum key distribution (QKD), quantum networking, and the integration of quantum and classical communication systems. His work addresses critical challenges in quantum communications including atmospheric turbulence compensation, phase estimation, error mitigation, and spatial diversity exploitation. Analysis of Professor Malaney's recent publications (2023-2025) reveals an intensive focus on advancing satellite-to-earth quantum communications. His work demonstrates leadership in developing quantum routing protocols, machine learning applications for quantum systems, and hybrid quantum-classical communication techniques. These publications highlight his commitment to solving practical implementation challenges for global quantum networks, with particular attention to real-world constraints like atmospheric interference and signal degradation in space-to-ground links. Professor Malaney has maintained an extensive collaborative network across multiple institutions and research domains. His work bridges theoretical quantum information science with practical engineering applications, positioning him as a key contributor to the emerging field of quantum communications infrastructure.

Felix Rempeمشاهده پروفایل

پژوهشگر

• Mobility Systems
• Machine Learning
• Data Exploration and Analyses Methods
• +۱ مورد دیگر

Felix Rempe is a Rudolf Diesel Industry Fellow at the Technical University of Munich Institute for Advanced Study (TUM-IAS) , affiliated with the BMW Group in the field of Autonomous Driving . He holds a PhD in Computational Science and Engineering from TU Munich, awarded summa cum laude in 2018, and an M.Sc. in Mechatronics from DHBW Stuttgart in 2014 with Honours. His research focuses on data-driven approaches to traffic engineering and control , leveraging machine learning and sensor data from vehicles for real-time traffic state estimation and prediction. His work explores the intersection of mobility systems and artificial intelligence , particularly in the domains of traffic flow theory and digital twin development for transportation infrastructure. Felix’s publications highlight advancements in data fusion techniques , deep learning architectures , and statistical modeling applied to autonomous driving and urban mobility challenges. 2018: PhD thesis awarded summa cum laude 2014: M.Sc. with Honours award for completing the Honour’s track at TUM 2012: BayLat grant for study exchange program Latin America

Richard K. Martinمشاهده پروفایل

استاد

• Radio Tomographic Imaging
• Laser Radar (LADAR)
• Signal Processing
• +۷ مورد دیگر

Richard K. Martin is a Professor in the Department of Electrical and Computer Engineering at the Air Force Institute of Technology (AFIT), Wright-Patterson Air Force Base, OH. He has been a faculty member since 2004 and holds a Ph.D. in Electrical and Computer Engineering from Cornell University. Education: Ph.D., Electrical and Computer Engineering, Cornell University, 2004 M.S., Electrical and Computer Engineering, Cornell University, 2001 B.S., Electrical Engineering, University of Maryland, 1999 (Summa Cum Laude) B.S., Physics, University of Maryland, 1999 (Summa Cum Laude) His research focuses on radio tomographic imaging, laser radar (LADAR), signal processing, and engineering education . He has made significant contributions to channel equalization, wireless localization, and polarimetric LiDAR systems. His work bridges theoretical signal processing with practical defense and sensing applications. The recent articles highlight a strong trend in optical remote sensing, spectropolarimetry, and advanced signal processing for defense and surveillance. His work increasingly integrates machine learning, sensor fusion, and real-time imaging under atmospheric distortions. Scientific Awards: 2013 Air Force Outstanding Science and Engineering Educator Award Eta Kappa Nu Instructor of the Year (twice) Instructor of the Quarter (three times) Dr. Martin has led numerous student research initiatives, including the COEUR program to enrich undergraduate research. He has secured research funding in areas such as RF sensing, LADAR, and wireless security. He holds eight patents and has published extensively in IEEE journals and conferences. He leads research in the development of rapid Mueller matrix polarimeters, spectropolarimetric LADAR, and radio tomographic imaging systems , often in collaboration with students and defense labs.

Ram Poudelمشاهده پروفایل

استادیار

• Renewable Energy
• Hybrid Energy Systems
• Energy Storage and Integration
• +۷ مورد دیگر

Dr. Ram Poudel is an Assistant Professor in the Department of Sustainable Technology & the Built Environment at Appalachian State University, where he contributes to education and research in sustainable energy systems. He teaches courses such as Project Development and Economics (TEC 4536), Wind and Hydro Power Technology (TEC 4607/5607), and Battery-Based PV Systems (TEC 4633/5633). Education: Ph.D., Mechanical Engineering, University of Massachusetts Amherst M.E., Mechanical Engineering, Northern Arizona University M.S., Renewable Energy, Institute of Engineering, Tribhuvan University, Nepal B.E., Mechanical Engineering, Institute of Engineering, Tribhuvan University, Nepal His research centers on renewable and hybrid energy systems, including wind, solar, and hydro, with a strong emphasis on energy storage integration, rural electrification, and the application of thermodynamics to sustainability challenges. He is particularly interested in energy access and development in underserved regions, drawing from field experience in Nepal. The recent publications reflect a consistent focus on modeling, performance analysis, and integration of distributed renewable energy technologies. His work spans wind speed synthesis, DC-link storage in wind turbines, microhydro systems, and rural electrification planning, showing a trajectory toward practical, scalable sustainable energy solutions. Dr. Poudel is a member of the North American Wind Energy Academy (NAWEA) and is the founder of the International Association for the Integration of Science and Engineering (IAISAE), which organizes the biennial Thermodynamics 2.0 Conference—highlighting his leadership in fostering interdisciplinary dialogue in sustainable engineering. He advises prospective students and is actively engaged in curriculum development and applied research within sustainable technology. While specific grants and student advisees are not listed, his publication record and course offerings suggest a strong mentorship and research supervision role. He is based in Katherine Harper Hall 177A and can be reached at (828) 262-6361.

Alexander Hermansمشاهده پروفایل

پژوهشگر

• Computer Vision
• Deep Learning
• Robotics
• +۷ مورد دیگر

Dr. Alexander Hermans is a researcher at the Institute for Vision and Graphics, Faculty of Electrical Engineering and Information Technology, RWTH Aachen University. He is actively engaged in cutting-edge research at the intersection of computer vision, deep learning, and robotics, with a focus on 3D perception, segmentation, and anomaly detection. Research Interests: His primary research areas include Computer Vision , Deep Learning , Robotics , 3D Scene Understanding , Semantic and Instance Segmentation , and LiDAR-based Perception . His work often addresses the practical challenges of deploying vision systems in real-world robotic applications. Publication Trends: Dr. Hermans' recent publications demonstrate a strong trend towards leveraging transformer architectures for 3D and video understanding, developing robust methods for anomaly detection, and creating unified frameworks for diverse vision tasks. His research on diffusion models and self-supervised learning also highlights his engagement with the latest advancements in AI. Scientific Awards: Best Vision Paper Award at ICRA 2014 Advising and Grants: While no specific students or grants are listed, his role as a senior author on numerous publications and his leadership in creating benchmarks (like OoDIS) and software indicate a significant mentoring and project leadership role. His work is often supported by large-scale datasets and collaborations, suggesting involvement in substantial research grants and projects (e.g., the STRANDS project). Labs and Teams: He is a core member of the research group led by Prof. Bastian Leibe at RWTH Aachen, a group renowned for its work in computer vision and robotics. His research is closely tied to this lab, which focuses on developing robust, real-world applicable vision systems for autonomous agents.

Tan Chee Keongمشاهده پروفایل

مدرس ارشد

• Software-defined networks
• Beyond 5G networks
• Indoor positioning systems
• +۸ مورد دیگر

Dr. Tan Chee Keong is a Senior Lecturer at the School of Information Technology, Monash University, Malaysia. He holds a PhD in Information and Communication Technology from Multimedia University (2014). His expertise lies in network system design, with a focus on software-defined networks, beyond 5G networks, indoor positioning systems, game theory, machine learning, and data science. He has secured over RM 800K in research grants as a principal or co-investigator and contributed to over 10 international journal papers. Notably, he received the Best Teaching Award from Multimedia University in 2016. Research activities include projects funded by government and industry, such as AI-Driven Energy Management for Smart Cities and IoT-based energy monitoring systems. His work addresses challenges in network efficiency, indoor positioning, and smart city technologies. Dr. Tan has collaborated on projects involving UAV swarming intelligence, reinforcement learning, and autonomous systems. Education: B.Eng (Hons) in Electronics (Telecommunication), Multimedia University, 2006 M.Eng.Sc (Information and Communication Technology), Multimedia University, 2009 Ph.D (Information and Communication Technology), Multimedia University, 2014 Research Interests: Optimizing wireless networks and protocols Indoor positioning and trajectory tracking Game theory applications in network resource management Machine learning for signal processing and localization Recent publications (2023–2025) emphasize AI-driven solutions for energy efficiency, path planning in disaster environments, and blockchain-based logistics optimization. These reflect a trend towards integrating AI/ML with traditional networking challenges. Awards: Best Teaching Award, Multimedia University (2016) Grants & Projects: AI-Enabled Energy Management (RM 800K+) IoT-Based Energy Monitoring (2022–2025) Smart City IoT Applications He plays a key role in industry-academia collaborations, particularly in Malaysia’s tech sector. His labs focus on developing practical solutions for smart city infrastructure and next-generation communication systems.

Mario Roteaمشاهده پروفایل

استاد

• Control Systems Engineering
• Multivariable Control
• Robust and Optimal Control
• +۷ مورد دیگر

Mario Rotea is the Erik Jonsson Chair Professor and Head of the Department of Mechanical Engineering at the University of Texas at Dallas, within the Erik Jonsson School of Engineering and Computer Science. He has held prominent academic and leadership roles at Purdue University, the University of Massachusetts Amherst, and served as Program Director at the National Science Foundation. His research is centered on advanced control systems with applications in energy, aerospace, and mechanical systems. PhD, Control Science and Dynamical Systems, University of Minnesota, 1990 M.S., Electrical Engineering, University of Minnesota, 1988 B.S., Electronics Engineering, National University of Rosario, 1983 Dr. Rotea’s research interests lie in multivariable, robust, and optimal control systems , with applications in noise and vibration control , structural control of wind turbines , and energy storage and conversion systems . His work bridges theoretical control design and practical implementation, particularly in renewable energy integration and aerospace systems. He has made significant contributions to the control of floating and offshore wind turbines and battery-integrated wind farms. His recent publications highlight a strong focus on control strategies for wind energy systems , particularly in managing power output and structural loads in offshore turbines, and optimizing battery storage for wind farms. The research spans mechatronics, renewable energy integration, microfluidics, and thermal control of electric machines , demonstrating a multidisciplinary approach grounded in rigorous control theory. Dr. Rotea has received numerous honors, including: Fellow, IEEE (2007) – for contributions to robust and optimal control CT Sun Excellence in Research Award, Purdue University (2006) Seed for Success Award (2004, 2005) – for securing over $1M in grants Best Paper Awards at ACC (1989, 1991, 1999, 2001) NSF Young Investigator Award (1993) NSF Research Initiation Award (1991) Doctoral Dissertation Fellowship, University of Minnesota (1989) Dr. Rotea has successfully led major research initiatives, including directing the WindSTAR center — an NSF-funded Industry-University Cooperative Research Center focused on wind energy science and technology. He has attracted substantial research funding and fostered strong industry partnerships. While specific advisees are not listed, his leadership in research groups and collaborative projects indicates active mentorship. His work continues to influence both theoretical advances and real-world applications in control engineering. He leads and collaborates with research teams in the areas of wind energy systems and advanced control applications , particularly through the WindSTAR center, which involves collaboration with the University of Massachusetts Lowell and industry partners. These teams focus on improving the reliability, efficiency, and integration of wind energy systems through innovative control solutions.

• Modeling and Simulation
• Energy System Analysis
• Vehicle Grid Integration
• +۳ مورد دیگر

Prof. Dr.-Ing. Marco Pruckner leads the Chair of Communication Networks at the University of Würzburg since 2022, following his assistant professorship in Energy Informatics at Friedrich-Alexander-University Erlangen-Nürnberg (2016–2022). His research focuses on energy system analysis, vehicle grid integration, and future mobility systems using modeling and simulation methodologies. University of Würzburg (2022–present) Friedrich-Alexander-University Erlangen-Nürnberg (2016–2022) UC Berkeley (Visiting Scholar, 2020) Key research areas: Modeling and simulation of integrated energy systems Digital twin development for local energy systems Optimization of electric vehicle charging strategies Water-energy nexus analysis and sustainability metrics Recent publications (2022–2025) demonstrate expertise in: Smart charging algorithms for vehicle grid integration Heat pump electrification and seasonal performance modeling Battery state-of-health estimation techniques Multi-objective optimization for data centers and energy systems His team at University of Würzburg includes Daniel Bayer, Paul Benz, Jonas Schiller, and Leo Strobel. Methodologies combine system dynamics, discrete-event simulation, and machine learning for energy and mobility system analysis.

Anders Nielsenمشاهده پروفایل

استاد

• Biostatistics
• Stock Assessment
• Fish Population Dynamics
• +۵ مورد دیگر

Anders Nielsen is a Professor at the National Institute of Aquatic Resources (DTU Aqua), Technical University of Denmark, working within the Section for Marine Living Resources. His research focuses on the intersection of biostatistics, fisheries science, and marine ecology, with particular emphasis on developing statistically sound approaches for fish stock assessment and management. His research interests span biostatistics with a focus on modeling dynamical systems and state-space models, fish stock assessment methodologies, fish movement patterns, and statistical software development. Nielsen specializes in improving stock assessment models through better statistical frameworks, optimized sampling designs, and incorporation of spatial structure. His work on automatic differentiation in statistical tools has contributed significantly to computational approaches in fisheries science. Analysis of Nielsen's recent publications reveals strong trends in environmental DNA (eDNA) applications for fisheries monitoring, advanced statistical modeling for stock assessments, and integration of climate variables into fish population dynamics. His work bridges theoretical statistical development with practical fisheries management applications, particularly in North Sea and Baltic Sea ecosystems. The recurring themes include uncertainty quantification, retrospective analysis of assessment models, and development of robust frameworks for sustainable fisheries management. Nielsen actively participates in numerous research projects including MAKE-IT (sustainable mackerel management), FISHMAP (fish distribution and fisheries management), REVIVAL (herring stock assessment), CanMac (genetic approaches to mackerel assessment), and LenSAM (length-based assessment models). He serves as project coordinator for CanMac and LenSAM, demonstrating leadership in developing innovative assessment methodologies. His collaborative network spans multiple institutions and countries, reflecting the international nature of fisheries science. As a member of the International Council for the Exploration of the Sea (ICES), Nielsen contributes to international fisheries science and advice. His work directly supports UN Sustainable Development Goals related to sustainable marine resource management. While specific details about laboratory facilities aren't provided in the available information, his research clearly involves advanced computational modeling and analysis of fisheries data, likely utilizing high-performance computing resources at DTU.

• Wireless Communications
• Signal Processing
• MIMO Systems
• +۴ مورد دیگر

Cédric Le Ruyet is a prominent researcher at the Conservatoire National des Arts et Métiers (CNAM) , affiliated with the CEDRIC Laboratory. His work spans Wireless Communications , Signal Processing , and 5G/6G Network Design , with a focus on Filter Bank Multicarrier (FBMC) systems, MIMO , and Cognitive Radio . He collaborates extensively with institutions like CEA-LETI and CNAM . His research interests include Channel Modeling , Resource Allocation , Beamforming , and Machine Learning in wireless contexts. He has contributed to Reconfigurable Intelligent Surfaces (RIS) for beam optimization and SCMA/OFDM codebook design. Recent publications highlight his work on QAM-FBMC systems, Rayleigh Fading Models , and 5G Network Coexistence . His articles often explore Distributed MIMO , Low-Complexity Equalizers , and Indoor Positioning via Channel State Information (CSI) . He has authored numerous IEEE Transactions and conference papers, with technical reports for projects like ANR POSEIDON and NF-PERSEUS . His methodologies integrate Genetic Algorithms , Lattice-Reduction , and Deep Learning for next-gen wireless systems.

Vittorio Cozzolinoمشاهده پروفایل

پژوهشگر

• Edge Computing
• Computer Vision
• Lightweight Virtualization
• +۷ مورد دیگر

Vittorio Cozzolino is a PhD Researcher at the Technical University of Munich since 2015, supervised by Professor Jörg Ott. His work focuses on edge-cloud infrastructures , unikernels , and distributed orchestration frameworks . He previously worked at AgileLab (Turin, Italy) as a Technical Lead and completed an ERASMUS internship at IMDEA Networks (Madrid, Spain) studying MANETs. M.Sc. in Computer Science and Engineering, University Federico II of Naples (2014) His research interests include edge computing architectures , lightweight virtualization , and computer vision for mobile augmented reality . Publications highlight trends in edge-cloud collaboration , unikernel-based systems , and IoT security . He actively contributes to teaching courses on edge computing , recommender systems , and networking fundamentals .

• Construction Engineering and Management
• Labor Productivity
• Project Delivery Systems
• +۴ مورد دیگر

Dr. Awad S. Hanna is the BOLDT Company Professor and Chair of the Construction Engineering and Management Program within the Department of Civil and Environmental Engineering at the University of Wisconsin-Madison . He also serves as Director of the Construction and Materials Support Center (CMSC) in partnership with the Wisconsin Department of Transportation. Internationally recognized as the most productive researcher in construction labor productivity, Dr. Hanna has authored hundreds of refereed journal articles and multiple books, collaborating with leading industry bodies such as the Construction Industry Institute , ELECTRI International , NECA , MCF , and the New Horizon Foundation . Education PhD, 1989 – Pennsylvania State University MS, 1986 – Pennsylvania State University BS – Cairo University Research Interests Dr. Hanna’s scholarship converges on the nexus of labor, project, and organizational productivity . His work spans Integrated Project Delivery , Lean Construction , Construction Readiness , Delay & Change-Order Management , Contractual Risk Allocation , and the development of the TIME© framework (Tools, Information, Materials, Environment). He leverages advanced data analytics, augmented reality, and benchmarking methodologies to advance both academic understanding and practical industry application. Research Impact & Trends Across his recent publications, a clear trajectory emerges: integrating emerging technologies—particularly augmented reality and BIM —with rigorous quantitative models to enhance safety, productivity, and project performance. Studies explore how interpersonal conflicts influence safety outcomes, benchmark global project metrics, and clarify legal risk allocation, reflecting a holistic approach that marries empirical data with actionable managerial frameworks. Scientific Awards & Honors ASCE Life Member (2020) Elected Member, National Academy of Construction (2018) CII Best Presentation Award (2017) ASCE Thomas Fitch Rowland Prize (2015) ASCE Construction Management Award (2010) ASCE Journal Best Paper Award (2010) ASCE Fellow (2009) Builder Edge Award – Best CEM Program (2006) CII Outstanding Researcher Award (2006) ASCE Journal of Management in Engineering Best Peer Review Paper (2002) Polygon Outstanding Instructor Award, UW-Madison College of Engineering (1997) Canadian Construction Research Board International Competition – Best Innovative Ideas (1990) Teaching & Student Engagement Dr. Hanna delivers a rich portfolio of undergraduate and graduate courses including Integrated Project Estimating and Scheduling , Construction Project Management , Research Methods in CEM , and Legal Aspects of Engineering . He is the founder and faculty advisor of the campus Construction Club, fostering the next generation of industry leaders. Laboratory & Center Leadership As Director of the Construction and Materials Support Center (CMSC) , Dr. Hanna steers multi-disciplinary research initiatives that bridge academic inquiry with Wisconsin DOT practice, focusing on materials performance, quality management, and innovative construction technologies.

• Cyber-Physical Systems
• Internet of Things
• Data Analytics
• +۵ مورد دیگر

Mahima Agumbe Suresh serves as an Associate Professor in the Department of Computer Engineering at San Jose State University's Charles W. Davidson College of Engineering, a promotion effective August 2025 following tenure approval. Previously, she was an Assistant Professor at SJSU after serving as a Visiting Assistant Professor at Texas A&M University and a postdoctoral researcher at Xerox Research Center India. Her educational foundation includes a Ph.D. in Computer Science and Engineering from Texas A&M University (2015) and a B.Tech in Computer Engineering from India's National Institute of Technology Karnataka. Research interests span Cyber-Physical Systems, Internet of Things, Smart City Data Analytics, and Augmented Reality applications for safety and education, with emphasis on practical implementations in urban infrastructure and educational technology. Her publication trajectory (2020-2025) reveals three dominant research thrusts: (1) Cyber-physical security systems for critical infrastructure like water networks and distributed controls, (2) AI-driven educational innovations including specifications grading and active learning methodologies across algorithms, networks, and data science courses, and (3) Applied computer vision and NLP solutions for human trafficking detection, e-bike safety, and product design optimization. This interdisciplinary work consistently bridges theoretical advances with real-world societal impact. Recognition includes: Quantum Faculty Fellow Award (2025) Quantum Faculty Fellow Grant (2024) VPRI Teaming Award (2024) Faculty Excellence in Teaching Service Award (2023) She directs an active research program funded by an NSF grant for mixed reality/edge computing in human-robot interaction (2024) and mentors MS thesis students in computer engineering. Service roles include Assessment Coordinator and ABET Report author for SJSU's Computer/Software Engineering programs, Chair of the Student Fairness Committee (2022-2024), and College of Engineering Mace Bearer at 2023 commencement. Her collaborative research ecosystem integrates academic-industry partnerships with Xerox Research and government entities, focusing on edge computing architectures, cyber-physical security frameworks, and educational technology innovations that address urban infrastructure challenges and pedagogical transformation in STEM education.

• Quantum Physics
• Quantum Information Science
• Quantum Optics
• +۳ مورد دیگر

Dr. Matthias Bock is a Research Fellow at the Department of Experimental Physics, University of Innsbruck. His work focuses on quantum technologies, particularly quantum frequency conversion, entanglement distribution, and trapped ion systems. He collaborates on projects involving long-distance quantum communication via telecom fibers and develops techniques for preserving coherence in quantum states. University: University of Innsbruck Department: Department of Experimental Physics Academic Rank: Research Fellow Research interests include: Quantum frequency conversion for telecom compatibility Entanglement distribution over long-distance fiber networks Trapped ion systems for quantum memory and computation Single-photon sources and detection Coherence preservation in hybrid quantum systems Publications highlight advancements in atom-photon entanglement across 101 km of telecom fiber (2024), scalable ion crystal control (2023), and polarization-preserving frequency conversion for quantum networks (2021). His work bridges theoretical quantum optics with practical telecom infrastructure challenges.

• Heavy Ion Collision
• Nuclear Physics at High Density
• Nuclear Symmetry Energy
• +۳ مورد دیگر

Dr. Yongsun Kim is a Professor at the Department of Physics and Astronomy , Sejong University. Holding a Ph.D. from MIT (2013) and a B.S. from the University of Illinois Urbana-Champaign (2007), he conducted postdoctoral research at Korea University (2013-2017) and UIUC (2017-2018). His work bridges high-energy physics and nuclear structure , focusing on heavy-ion collisions , quark-gluon plasma , and Higgs boson phenomenology . Research Interests Heavy Ion Collisions at LHC/RHIC Nuclear Symmetry Energy in Rare Isotopes High-Density Nuclear Physics Detector Development for sPHENIX and ECCE Scientific Contributions With over 1073 research outputs , his recent publications include measurements of W+W- production, studies of top quark entanglement , and searches for exotic Higgs decays . His work spans CMS detector upgrades, charm hadronization, and QCD investigations . Scientific Awards No specific awards mentioned in the provided data.