جست‌وجوی استاد و پژوهشگر

Sirojan Tharmakulasingamمشاهده پروفایل

مدرس

• Machine Learning
• Artificial Intelligence
• Data Science
• +۶ مورد دیگر

Dr. Sirojan Tharmakulasingam serves as a Lecturer and Research and Development Coordinator at the Signals, Information & Machine Intelligence lab within the Faculty of Engineering at the University of New South Wales (UNSW) Sydney. His work bridges theoretical machine learning with practical applications in edge computing and high-performance systems. His research spans multiple cutting-edge domains including machine learning, artificial intelligence, data science, edge computing, and high-performance computing. Dr. Tharmakulasingam specializes in developing next-generation inference models by integrating machine learning, signal processing, mathematical modeling, and computing across diverse data types including images, video, audio, and quantum molecular data. His work has significant implications for scientific computing, telecommunications, and healthcare applications. Analysis of his publication trends reveals a strong focus on practical AI implementations, with increasing emphasis on edge computing solutions, quantum applications, and energy-efficient models. His recent work demonstrates progression from foundational machine learning techniques toward specialized applications in scientific computing and real-time systems. Dr. Tharmakulasingam holds a Doctor of Philosophy from UNSW Sydney and a Bachelor of Science of Engineering from the University of Moratuwa in Sri Lanka. His academic journey reflects a strong foundation in both theoretical and applied engineering principles. As Research and Development Coordinator for the Signals, Information & Machine Intelligence lab, he oversees critical research infrastructure and collaborations. His work location in Room 447 of the EE&T Building (G17) places him at the heart of UNSW's engineering research ecosystem, with access to the Mark Wainwright Analytical Centre's extensive facilities.

Toufik AZIBمشاهده پروفایل

استاد

• Energy conversion systems
• Multi-physical optimization
• Embedded energy management
• +۷ مورد دیگر

Toufik AZIB is a Full Professor and scientific coordinator of the ECMS (Energy and Conception of Mechatronic Systems) research theme at ESTACA Engineering School in France. He leads a team of 6 teacher-researchers and 13 PhD students, focusing on optimal design of power electronics and energy management for hybrid power systems. His work bridges academic research and industrial applications in sustainable mobility, with strong collaborations across Europe and Algeria. Dr. AZIB received his Electrotechnical Engineering Diploma from the University of Setif, Algeria in 2006, followed by an M.Sc. in Electrical Engineering from ENSEM-INPL, France in 2007. He earned his Ph.D. in electrical engineering from the University of Paris South XI in 2010 and completed his HDR (Habilitation à Diriger des Recherches) from the University of Paris Saclay in 2021. His academic journey reflects a strong foundation in both theoretical and applied electrical engineering. His research focuses on the modeling, control, and optimal design of embedded energy systems under multi-physical constraints (electrical, thermal, electromagnetic compatibility, volume, reliability). He specializes in energy management strategies for hybrid systems combining fuel cells, batteries, and ultracapacitors, with applications in electric vehicles and the 'more electric aircraft.' His work integrates numerical and experimental approaches to develop methodologies for pre-dimensioning and real-time energy management, addressing challenges in sustainable transportation. Analysis of Dr. AZIB's recent publications reveals a strong trend toward multidisciplinary design optimization for automotive applications, particularly electronic throttle systems. His research increasingly incorporates knowledge management techniques and addresses reliability considerations in hybrid power source design. There's a clear progression from fundamental energy management strategies to sophisticated eco-driving solutions for electric vehicles, reflecting the evolving demands of sustainable mobility. Best Paper Award for 'Structure and Control Strategy for a Parallel Hybrid Fuel Cell/Supercapacitors Power Source' at IEEE VPPC'09 Dr. AZIB has supervised numerous PhD and Master's students across multiple institutions in France, Algeria, and Colombia. He leads significant research projects including MIMe (Module d'Intégration et de simulation Mécatronique), ECOS Nord (Eco-driving strategies for electric motorcycle), and AmCoAIR (improving air quality in vehicle cabins), securing funding from national and international sources. His work demonstrates strong industry collaboration with partners like Valeo, PSA, and Renault. As experimental platforms coordinator since 2012, Dr. AZIB oversees 10 specialized experimental facilities at ESTACA's S2ET-Paris Saclay research pole, including those for autonomous electric vehicles, drones, electric machines, and power modulators. His team regularly develops proof-of-concept demonstrators to validate research findings, such as the Formula Student electric vehicle and the 'Electric Appeal' streamliner project, demonstrating practical applications of their theoretical work.

Roel Loonenمشاهده پروفایل

دانشیار

• Adaptive facades
• Building-integrated renewable energy
• Energy efficiency in buildings
• +۳ مورد دیگر

Roel Loonen is an Associate Professor at the Unit Building Physics and Services within Eindhoven University of Technology's Department of the Built Environment. Since October 2024, he has joined the EIRES Management Team, leading the Energy Transition in the Built Environment focus area alongside Lenneke Kuijer. His work emphasizes integrating energy efficiency with occupant comfort through advanced building simulation techniques. Academic Affiliation: Eindhoven University of Technology Management Role: EIRES Management Team Research Focus: Adaptive facades, building-integrated renewable energy, and occupant behavior modeling Loonen’s research explores modeling and simulation strategies for buildings that reconcile high indoor quality with minimal environmental impact. Key projects include collaborations with eyrise on solar shading glass and TNO on the ZIEZO project, which experiments with insulated glazing units that combine solar shading with bifacial photovoltaics at the SolarBEAT facility. His work spans computational methods for urban irradiation, occupant-facade interaction frameworks, and multi-domain thermal comfort modeling. The ZIEZO project exemplifies his approach to energy-efficient design by redirecting reflected light to enhance photovoltaic output while maintaining daylight comfort. His publications address challenges in adaptive façade systems, PV integration, and sensitivity analysis for heating demand. Loonen advocates for interdisciplinary collaboration to bridge technical innovation with societal implementation needs. Loonen’s educational contributions include co-teaching the interdepartmental master course Sustainable Energy Technology and developing interactive simulation-based teaching tools. He emphasizes connecting energy-related research to practical implementation through stakeholder engagement with municipalities, building companies, and grid operators. Key facilities involved in his research include SolarBEAT (for testing solar technologies) and TU/e’s simulation laboratories. His work addresses urban energy transitions by combining building physics with grid interactions, occupant behavior, and scalable PV system optimization.

• Particle Physics
• High Energy Physics
• Instrumentation Development
• +۷ مورد دیگر

Richard Brenner is a Professor and Head of Department at the Department of Physics and Astronomy , Uppsala University. He is a key member of the ATLAS detector team at the CERN Large Hadron Collider (LHC) , focusing on instrumentation development and real-time data processing for dark matter detection. His work bridges semiconductor detector signals with machine learning systems , emphasizing radiation resistance in high-energy environments. Role: Head of Department of Physics and Astronomy Affiliation: Uppsala University and CERN Research Focus: Dark Matter, Higgs Boson, Particle Physics His recent 15 publications (2025) span topics like dark matter searches , Higgs boson production , vector boson fusion , and machine learning applications in data analysis. Keywords include High Energy Physics , Experimental Physics , and Quantum Interactions , with subfields such as Collider Physics , Detector Engineering , and Theoretical Modeling

Smitha Gopinathمشاهده پروفایل

مدرس

• Sustainable engineering systems
• Carbon capture, utilisation and storage (CCUS)
• Renewable energy systems
• +۵ مورد دیگر

Dr Smitha Gopinath is a Lecturer in the School of Chemical, Materials and Biological Engineering at the University of Sheffield , where she leads research in sustainable engineering systems within the Sustainable Design Laboratory (SDL) . Education & Career Path PhD in Chemical Engineering, Imperial College London Post-doctoral researcher, Applied Mathematics and Plasma Physics Group, Los Alamos National Laboratory Research Focus Dr Gopinath’s interdisciplinary work centres on the design, calibration and operation of sustainable engineering systems . She develops high-fidelity models and large-scale optimisation algorithms tailored to energy and materials challenges. Core interests include: Thermo-mechanical energy conversion devices (heat pumps, organic Rankine cycles) Carbon-capture utilisation and storage (CCUS) via novel solvents and separation systems Power-grid expansion and operation for renewable integration and decarbonisation Methodologically, she integrates Integrated Molecular and Process Synthesis (IMPS) with Optimisation Accelerated by domain Knowledge (OAK) to co-design molecules, materials and flowsheets that meet stringent energy and environmental targets. Publication Landscape Across 2015–2025 her publications reveal a clear trajectory from fundamental thermodynamic measurements and molecular design toward rigorous optimisation of large-scale energy systems. Early work concentrated on CO₂ solubility and carbonation kinetics of steel slag, providing essential data for carbon-sequestration schemes. Subsequent papers introduced advanced optimisation frameworks—outer-approximation algorithms, exact reformulations and feasibility-based methods—applied to solvent-based CO₂ capture, organic Rankine cycle working-fluid selection and AC optimal power flow (ACOPF). Recent contributions benchmark global optimality certificates for ACOPF problems, underscoring her drive to bridge chemical process systems engineering with electrical power systems optimisation. Teaching & Mentoring Dr Gopinath teaches undergraduate modules: CPE440 (Particle Technology) CPE170 (Particle Technology) She actively invites prospective PhD students to join the Sustainable Design Laboratory, offering supervision on projects spanning sustainable process design, renewable energy systems and algorithmic optimisation. Laboratory & Collaborative Networks She directs the Sustainable Design Laboratory (SDL), a multidisciplinary team leveraging systems engineering, multi-scale modelling, process simulation and optimisation to re-imagine a sustainable chemical and energy industry. The SDL collaborates with international partners, including Los Alamos National Laboratory and leading researchers in applied mathematics and power systems engineering.

Arthur Trembanisمشاهده پروفایل

استاد

• Coastal and estuarine morphodynamics
• Sediment transport
• Hydrodynamics
• +۳ مورد دیگر

Arthur Trembanis is a Professor at the School of Marine Science & Policy at the University of Delaware , where he conducts interdisciplinary research in coastal and marine geoscience. His work bridges oceanography, sediment dynamics, and autonomous systems, with a focus on understanding coastal morphodynamics, hydrodynamics, and seafloor mapping. Coastal & Estuarine Morphodynamics Sediment Transport Modeling Autonomous Underwater Vehicles (AUVs) Seafloor Mapping & Geoacoustics Trembanis leads the Coastal Sediments, Hydrodynamics, and Engineering Lab (CSHEL) , which explores the intersection of marine technology and environmental science. His recent publications highlight advancements in AI-driven seafloor mapping, autonomous survey platforms, and coastal response to extreme weather. He is also active in open-source tools for geological feature detection and educational outreach. The 15 most recent papers reflect trends in machine learning for coastal geology (e.g., AI for Carolina Bay detection), autonomous robotics in marine surveys, and storm impact analysis on coastal systems. Key subfields include LiDAR processing, bedform dynamics, and multi-platform data integration for environmental monitoring. Fulbright Fellowship (University of Sydney) SERDP Project MR20-1480 (Munition mobility in estuarine environments) Follow his work via the CSHEL website , Instagram , or YouTube for fieldwork and lab updates.

• Human-Computer Interaction
• Wearable Computing
• Augmented Reality
• +۵ مورد دیگر

Yuta Sugiura is an Associate Professor in the Department of Information and Computer Science at Keio University's Faculty of Science and Technology. His research focuses on innovative human-computer interaction techniques, particularly in wearable computing, tangible interfaces, and novel input methods. Previously, he worked as a postdoctoral researcher at the National Institute of Advanced Industrial Science. Dr. Sugiura's research interests span Human-Computer Interaction, Wearable Computing, Augmented Reality, Tangible User Interfaces, Gesture Recognition, Ubiquitous Computing, Haptics, and Virtual Reality. His work often explores how everyday objects and environments can become interactive surfaces, with notable projects including the iRing (intelligent ring), SenSkin (skin as interface), and EarHover (mid-air gesture recognition for hearables). He has developed numerous novel interaction techniques that leverage physical properties of materials and human physiology for input and output. His recent publications indicate a strong focus on hearable computing, medical applications of HCI, edible interfaces, and novel authentication methods. The research shows a consistent pattern of exploring unconventional interaction surfaces and leveraging subtle physical phenomena for input sensing. His work has significant implications for healthcare applications, particularly in neurological disorder screening and rehabilitation. Best Paper Award Dr. Sugiura has advised numerous students who have gone on to publish significant work in top-tier HCI venues. His research has been supported by various grants enabling the development of novel interaction techniques and systems. He maintains strong collaborations with researchers across Japan and internationally, particularly in the fields of wearable computing and medical applications of HCI. His laboratory appears to focus on lifestyle computing, developing interfaces that integrate seamlessly into daily activities. Current projects include exploring edible displays, adaptive ear interfaces, and novel authentication methods using wearable devices. Future work seems to be heading toward more medical applications of HCI, particularly in neurological assessment and rehabilitation.

Lingjia Liuمشاهده پروفایل

استاد

• 5G/6G Networks
• Deep Learning in Communications
• Internet of Things (IoT)
• +۴ مورد دیگر

Lingjia Liu is a Professor and Bradley Senior Faculty Fellow at Virginia Tech's Bradley Department of Electrical and Computer Engineering. Her research focuses on enabling technologies for 5G/6G networks, including massive MIMO systems, dynamic spectrum access, and AI-driven communication networks. She holds a Ph.D. from Texas A&M University (2008). Research Interests : 5G/6G Network Architectures (3D MIMO, cloud-RAN, ultra-low latency) AI in Communications (Reservoir Computing, federated learning) IoT & Cyber-Physical Systems (energy harvesting, privacy protection) Non-Terrestrial Networks (satellite-based connectivity) Recent work emphasizes generative AI for network simulation, explainable AI in communication systems, and secure dynamic spectrum sharing. Her research spans theoretical foundations (e.g., OTFS modulation analysis) and practical implementations (e.g., FPGA-based reservoir computing). Awards : Bradley Senior Faculty Fellow (Virginia Tech). Her contributions bridge communication theory and AI, addressing 6G challenges through innovative algorithmic and architectural solutions. Current projects explore agentic protocol learning, federated multi-agent RL for spectrum access, and resilient ML under adversarial conditions.

Venkat N. Kroviمشاهده پروفایل

استاد

• Robotics
• Autonomous Vehicles
• Human-Robot Interaction
• +۵ مورد دیگر

Prof. Venkat N. Krovi serves as the Michelin Endowed Chair Professor of Vehicle Automation in the Departments of Automotive Engineering and Mechanical Engineering at Clemson University's College of Engineering, Computing and Applied Sciences (CECAS). He directs the Automation, Robotics and Mechatronics Laboratory (ARMLab) at the International Center for Automotive Research (CU-ICAR), focusing on smart embedded systems for autonomy in challenging environments. He earned his Ph.D. in Mechanical Engineering and Applied Mechanics from the University of Pennsylvania in 1998. His research leverages distributed autonomy and human-robot synergy to extend human capabilities, with applications spanning plant automation, consumer electronics, automobile, defense, and healthcare. The work emphasizes lifecycle treatment (design through verification) of robotic systems under uncertainty. Recent publications (2024-2025) demonstrate strong trends in digital twin frameworks for autonomous vehicle validation, sim2real transfer via reinforcement learning, and integration of large language models for editable simulations. Key themes include scalable cloud-based architectures, Koopman operator theory for robustness, and containerization for reproducible robotics development. His accolades include: National Science Foundation (NSF) CAREER Award Petro-Canada Young Innovator Award Multiple best paper awards at conferences and journals ASME Dedicated Service Award (2024) Prof. Krovi has advised doctoral students including Dr. Srivatsan Srinivasan (2024). His research receives substantial funding from NSF, DARPA, ARO, and industrial partners like Michelin. He leads the NSF I/UCRC RoSeHuB center and the AutoDRIVE ecosystem for autonomous driving education. As ARMLab director, he oversees projects including OpenCAV, the Robotics for AV Systems Bootcamp, and containerized terramechanics simulations. The lab specializes in mechatronic design, verification/validation frameworks, and human-autonomy coexistence studies for next-generation mobility solutions.

David M. Labyakمشاهده پروفایل

استادیار

• Solid Mechanics
• Finite Element Analysis
• Vibration Analysis
• +۱۳ مورد دیگر

David M. Labyak is an Assistant Professor at Michigan Technological University's College of Engineering, affiliated with both the Manufacturing and Mechanical Engineering Technology and Mechanical and Aerospace Engineering departments. He teaches courses in computer-aided engineering, finite element methods, dynamic systems control, machine design, robotics dynamics, and Industry 4.0 concepts. PhD in Mechanical Engineering-Engineering Mechanics (2003) and MS in Mechanical Engineering (2000) from Michigan Tech Over 24 years of industrial experience in automotive, aerospace, mining, and consulting sectors His research interests span solid mechanics, finite element analysis, vibration analysis, machinability of metals, biomechanics, and helmet design optimization. Collaborative work includes dynamic testing, acoustic modeling, and workforce development initiatives. Recent publications highlight interdisciplinary work in vibration testing, metalcasting, and educational frameworks. Key areas include defect detection in additive manufacturing, dynamic fixture design, and experiential learning for mechatronics.

Barbara Capogrosso Sansoneمشاهده پروفایل

دانشیار

• Quantum Physics
• Condensed Matter Physics
• Ultracold Atoms
• +۳ مورد دیگر

Barbara Capogrosso Sansone is an Associate Professor of Physics at Clark University. She holds a Ph.D. in Physics from the University of Massachusetts, Amherst (2008) and a B.S. in Physics from the University of Torino (2000). Her research focuses on quantum phases of dipolar bosons in optical lattices, exploring topics such as supersolid phases, cavity-coupled systems, and topological order in ultracold atomic gases. She employs quantum Monte Carlo methods to investigate many-body phenomena in strongly interacting systems. Her work examines phase transitions in dipolar boson configurations, including bilayer systems, twisted geometries, and cavity-mediated interactions. Recent studies address novel phases like pair-supersolidity, thermocrystallization, and quantum phases in twisted bilayers. She also investigates nonlocal topological signatures, such as worldline braiding properties, to characterize quantum phase transitions. Her research has been presented at venues like the APS Division of Atomic, Molecular and Optical Physics Meeting. While no specific grants or awards are listed in the provided materials, her extensive publication record reflects sustained contributions to the field of quantum many-body systems and ultracold matter.

Sarah Burke-Spolaorمشاهده پروفایل

دانشیار

• Gravitational Wave Detection
• Binary Supermassive Black Holes
• Fast Radio Bursts (FRBs)
• +۳ مورد دیگر

Dr. Sarah Burke-Spolaor is an Associate Professor in the Department of Physics and Astronomy at West Virginia University and a member of the Center for Gravitational Waves and Cosmology (GWAC) . Her research focuses on dynamic astrophysical phenomena , including binary supermass of mass black holes , pulsar timing arrays for gravitational wave detection , and Fast Radio Bursts (FRBs) . Key Research Areas : Gravitational wave detection via pulsar timing Observational studies of binary supermassive black holes Fast Radio Burst detection and classification Galaxy formation and merger dynamics Dr. Burke-Spolaor mentors a team of students and postdocs including Gregory Walsh, Jessica Sydnor, Reshma Thomas , and Kshitij Aggarwal , whose work includes projects like the BHBinary/Galaxy Evolution Survey and The Petabyte Project for Radio Transients . Her awards include the Alfred P. Sloan Fellowship and recognition as a CIFAR Azrieli Global Scholar . Selected Article Trends : Leading gravitational wave research through NANOGrav's 15-year data set Multi-messenger astronomy targeting binary black hole systems FRB host galaxy characterization across telescopes Exploring unconventional astrophysical transients in the Galactic bulge Advancing pulsar timing array methodologies Developing next-generation radio interferometry techniques Scientific Awards : Alfred P. Sloan Fellow CIFAR Azrieli Global Scholar

Jason E. Ybarraمشاهده پروفایل

استادیار

• Galactic Star Formation
• Protostellar Outflows
• Physics Education Research
• +۲ مورد دیگر

Jason E. Ybarra serves as a Teaching Assistant Professor and Director of the WVU Planetarium and Observatory at West Virginia University. His academic home resides within the Astronomy and Astrophysics department, where he integrates observational astronomy with innovative educational practices. As coordinator for the Sloan Digital Sky Survey (SDSS-V) Faculty and Student Team (FAST) program, he bridges research infrastructure with undergraduate development. Dr. Ybarra's educational background includes: Ph.D. in Astronomy from University of Florida (NASA GSRP Fellow) M.S. in Physics from San Francisco State University (co-discoverer of precessing jet evidence) His research spans galactic star formation in regions like the Rosette Molecular Cloud, protostellar outflow dynamics , and physics education with special focus on neurodiversity inclusion . Historical astronomy investigations feature prominently, particularly in rediscovering early variable star observations. His educational philosophy emphasizes neurodivergent accessibility, reflected in publications on inclusive STEM pedagogy. Recent publications reveal interdisciplinary trends merging astronomical research with computational methods (CNN analysis of historical records) and social sciences (neurodiversity studies). The Sloan Digital Sky Survey serves as a unifying thread across observational, educational, and historical investigations. Scientific recognition includes: NASA Graduate Student Researchers Program (GSRP) fellowship NASA Florida Space Grant Consortium fellowship As an educator, Dr. Ybarra has taught across diverse settings from Davidson College to Drepung Loseling Monastery in India through the Emory-Tibet Science Initiative. His FAST program coordination creates sustained undergraduate research pathways within SDSS-V. Current projects integrate planetarium outreach with neurodiversity-aware instructional design. The WVU Planetarium and Observatory serves as his primary research and educational hub, while SDSS-V provides large-scale collaborative infrastructure. His work uniquely connects historical astronomical practices with modern neuroinclusive education frameworks.

Niels Otaniمشاهده پروفایل

دانشیار

• Cardiac Electrophysiology
• Computational Biology
• Biomechanical Imaging
• +۹ مورد دیگر

Niels Otani is an Associate Professor in the School of Mathematics and Statistics at the College of Science, Rochester Institute of Technology (RIT). He holds a BA from the University of Chicago and a Ph.D. from the University of California, Berkeley. His research focuses on cardiac electrophysiology, computational biology, and biomechanical imaging, with a particular emphasis on understanding and controlling cardiac arrhythmias such as ventricular fibrillation. Dr. Otani has pioneered methods for visualizing action potential propagation using ultrasound and developed novel defibrillation strategies that reduce energy requirements. He also investigates the role of ephaptic coupling in cardiac dynamics and the mechanisms underlying spiral wave formation and termination. His work bridges mathematics, physics, and cardiology, with applications in clinical therapies and biomedical engineering. Dr. Otani's research has been supported by grants such as an NSF award for developing diagnostic tools for cardiac disease. He teaches advanced courses in multivariable calculus, linear algebra, and research thesis supervision. Collaborations span interdisciplinary teams, including veterinary cardiology and biomedical imaging groups. His contributions include over 50 publications on topics ranging from action potential dynamics to computational modeling of cardiac tissue, with a focus on translating theoretical findings into clinical solutions.

• Shock Compression
• High Strain-Rate Deformation
• Synchrotron X-ray Imaging
• +۴ مورد دیگر

Dr. David Chapman is a Senior Research Associate in the Department of Engineering Science at the University of Oxford and a Senior Research Fellow at Pembroke College, Oxford. He holds a visiting academic position at Imperial College London. His research focuses on shock compression, high strain-rate deformation of heterogeneous solids, synchrotron X-ray imaging, and time-resolved diagnostics. His work explores material failure under extreme conditions, with applications in dynamic material behavior analysis. Chapman’s research interests include: Shock compression mechanics Dynamic material characterization using synchrotron radiation Advanced diagnostics for high-speed material testing Thermomechanical coupling in polymers and composites Recent studies highlight his contributions to understanding granular material compaction, ionization in warm dense matter, and the role of crystal orientation in metallic alloys. His work bridges experimental mechanics with computational modeling. Scientific Awards: No awards explicitly mentioned in the provided text. Chapman collaborates with research groups at Oxford and Imperial College London, contributing to the Solid Mechanics and Materials Engineering domain. His research leverages cutting-edge facilities like the European Synchrotron Radiation Facility (ESRF) for ultra-high-speed imaging.