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Jiang HongboView profile

Professor

• Distributed systems
• Mobile computing
• Smart sensing
• +5 more

Hongbo Jiang is a Distinguished Professor and Vice Dean of the College of Computer Science and Electronic Engineering at Hunan University, China. He holds concurrent roles as Director of the Trusted Systems and Networking Key Laboratory of Hunan Province and Director of the Hunan International Technical Cooperation Base for High-Performance Computing and Distributed Systems. His academic journey includes tenures as a Professor at Huazhong University of Science and Technology and a Hong Kong Scholar Research Fellow at The Chinese University of Hong Kong. Education: PhD in Computer Science (Case Western Reserve University, 2008), B.S./M.S. in Mathematics (Huazhong University of Science and Technology, 2002). Research Interests: Distributed systems, mobile computing, smart sensing, wireless networks, IoT, and edge computing. Ongoing projects include mobile/wireless applications, data science in IoT, and edge computing platforms. His work emphasizes practical implementations such as DriverSonar for driving safety and SmileAuth for biometric authentication. Key Achievements: Elected Member of Academia Europaea (2022), Fellow of AAIA, IET, and BCS. Notable awards include the Wu Wenjun Science and Technology Award (2020) and multiple best paper recognitions. Over 100+ publications in top venues like ACM MobiCom, IEEE/ACM Transactions. Professional Contributions: Editorial roles across 8+ journals including IEEE Transactions on Mobile Computing and ACM Transactions on Sensor Networks. Conference leadership includes co-founding ACM TURC and EAI ICECI. Active in technical committees for INFOCOM, MOBIHOC, and ICDCS. Labs/Teams: Leads research groups focused on networking, IoT, and edge computing. Current openings for PhD/MSc students and PostDoc researchers with strong mathematical and systems backgrounds.

• Astronomy
• Data Intensive Computing
• Radio Astronomy
• +3 more

Andreas Wicenec is a Professor and Senior Principal Research Fellow at the University of Western Australia (UWA), leading the Data Intensive Astronomy Program (DIA) at the International Centre for Radio Astronomy Research (ICRAR). He specializes in data-intensive astronomy, high-performance computing, and large-scale data management systems. His work supports the Square Kilometre Array (SKA) and other major observatories. Education: PhD in Astronomy from the University of Tübingen (1994), Physics Diploma (1989). Professional roles include Archive Scientist at the European Southern Observatory (ESO) and leadership in the International Virtual Observatory Alliance (IVOA). Research focuses on petascale data flows, reproducible science workflows, and next-generation archive systems like NGAS. Current projects include the DALiuGE engine, SKA data handling, and gravitational wave detection pipelines using deep learning. Key Projects: SKA Science Data Processing (7M AUD contract), Data Activated Flow Graph Engine (DALiuGE), and NGAS archive system Awards: ACM Gordon Bell Prize 2020 finalist Grants: Includes SKA Bridging Design (2019–2021), ICRAR IV (2025–2030) Labs/Teams: Active in ICRAR's Data Intensive Astronomy group, collaborating internationally on large-scale astronomy initiatives.

• Reconfigurable Computing
• FPGA Accelerators
• Parallel and Distributed Computing
• +3 more

Viktor Prasanna is the Charles Lee Powell Chair in Engineering and Professor of Electrical and Computer Engineering and Computer Science at the University of Southern California. He holds courtesy appointments in Computer Science and leads the Center for Energy Informatics, focusing on interdisciplinary research linking energy technologies, computer science, and engineering. Education: BE in Electronics (Bangalore University), ME (Indian Institute of Science), PhD in Computer Science (Pennsylvania State University) His research spans reconfigurable computing, FPGA accelerators, parallel and distributed systems, and big data applications. He has pioneered high-performance architectures and algorithms using FPGAs, impacting domains like networking, security, HPC, and machine learning. Prasanna has published over 600 papers, received 22 best paper awards, and secured >$50M in grants. His work emphasizes energy-efficient computing, with recent grants totaling $12.9M (2016–2021). His h-index is 73, with 23,454 total citations. Scientific Awards: IEEE Fellow, ACM Fellow, AAAS Fellow, W. Wallace McDowell Award, multiple Distinguished Alumnus Awards He has advised over 70 doctoral students and led major centers including CiSoft (Big Data in oilfield tech) and CAST. His editorial roles include Editor-in-Chief of IEEE Transactions on Computers and Journal of Parallel and Distributed Computing.

Sang Bok LeeView profile

Professor

• Electrochemistry
• Nanomaterials
• Energy Storage
• +6 more

Sang Bok Lee is a Professor of Chemistry & Biochemistry at the University of Maryland. His research focuses on electrochemistry of heterogeneous nanomaterials for energy storage systems, nanopore transport properties, and biosensor development. He specializes in advanced materials for high-power batteries and electrochromic devices, with a strong emphasis on solid-state electrolyte interfaces and protective coatings. Research Interests: Electrochemistry of nanomaterials for energy storage Transport properties of nanopores Solid-state battery interfaces Biosensor design and nanoparticle toxicology Targeted drug delivery systems Chemical and biochemical separation techniques Recent work highlights include developing aluminum nitride protective layers for solid electrolytes, optimizing hot-pressed argyrodite electrolytes, and advancing in situ Raman diagnostics for battery materials. His studies on magnesium anode protection and lithium metal anode engineering have significantly impacted rechargeable battery technologies. Publications reflect a focus on nanomaterial synthesis, electrochemical stability, and energy storage innovations. No academic awards or student advisement details were explicitly cited in the text.

• Terahertz Microsystems
• RF/Microwave MEMS
• Sub-THz Radar Concepts
• +3 more

Joachim Oberhammer is a Professor in Microwave and THz Microsystems at KTH Royal Institute of Technology in Stockholm, Sweden. He leads research in radio-frequency/microwave/terahertz micro-electromechanical systems (MEMS) and has held academic roles since 2005. His work includes pioneering advancements in THz communication, sub-THz radar concepts, and MEMS-based components. Oberhammer has been awarded the 2023 Young Engineer Award by the European Microwave Association and holds multiple grants, including an ERC Consolidator Grant (2013) and SSF framework grants (2014–2025). He has authored over 200 peer-reviewed publications and holds four patents in MEMS and THz technology. Education: M.Sc. in Electrical Engineering (Graz University of Technology, 2000), Ph.D. in Microwave Engineering (KTH, 2004). Postdoctoral research at Nanyang Technological University (2004) and Kyoto University (2008). Guest professorships at Universidad Carlos III de Madrid (2019–2020) and NASA-JPL (2014). Research focuses on MEMS fabrication, THz systems integration, and radar technologies. Key projects include the EU-funded M3TERA and Car2TERA projects, and leadership in SSF framework grants for electronics research. He coordinates the EU RIA projects TeraMeasure and TESLA, advancing terahertz applications. Teaching responsibilities include MSc and PhD courses in MEMS engineering, radar systems, and integrated circuits. His lab develops high-performance THz components, including waveguide switches, antennas, and filters, with applications in communication, sensing, and aerospace.

Hing-Ho TsangView profile

Professor

• Civil Engineering
• Structural Engineering
• Seismic Design
• +7 more

Professor Hing-Ho Tsang is the Chair in Civil and Structural Engineering at the University of Dundee, with over a decade of academic experience in Australia and Hong Kong. His research focuses on advancing sustainable infrastructure solutions, earthquake resilience, and green technologies to enhance building and infrastructure safety against natural disasters. He holds a Chartered Professional Engineer (CPEng) certification and advises governments and industries on building codes and seismic design guidelines. Tsang chairs the Global Network for Geotechnical Seismic Isolation (GSI) and serves as the Australian National Delegate to the International Association for Earthquake Engineering (IAEE). His expertise spans geotechnical seismic isolation, recycled materials in construction, and structural dynamics, contributing to UN Sustainable Development Goals (SDGs) like resilient infrastructure, circular economy, and climate action. With over 200 publications and a career-long impact ranking in Civil Engineering, Tsang has received prestigious awards including the R W Chapman Medal and Research Impact Award. Research Focus: Seismic design, sustainable construction, bio-inspired materials, and geotechnical isolation systems. Awards: Top Cited Article (2021–2022), Teaching Excellence Award (2022), and multiple international recognitions. Leadership Roles: Editorial board member for Geosynthetics International , organizer of the 18th World Conference on Earthquake Engineering technical session. His work emphasizes equity-driven engineering solutions, fostering inclusive and disaster-resilient communities. Current projects include innovative modular building systems and AI-driven seismic response models.

Wing NgView profile

Professor

• Aeroacoustics
• Turbomachinery
• Heat Transfer
• +6 more

Wing Ng serves as Alumni Distinguished Professor and Chris C. Kraft Endowed Professor in Virginia Tech's Department of Mechanical Engineering within the College of Engineering. His career spans over four decades with continuous contributions to aerospace thermal systems and fluid dynamics research since joining Virginia Tech in 1984. Dr. Ng's academic foundation includes: Ph.D. in Mechanical Engineering from Massachusetts Institute of Technology (1984) M.S. in Mechanical Engineering from Massachusetts Institute of Technology (1980) B.S. in Mechanical Engineering from Northeastern University (1979) His pioneering research focuses on aeroacoustics of drones and jet engines, where he develops advanced diagnostics for turbine flow measurements and investigates transonic turbine blade aerodynamics. Current work explores aerothermal particle interactions in gas turbines and clean energy applications for wind turbines. His experimental approach bridges fundamental fluid dynamics with practical aerospace engineering solutions, particularly in cooling systems for high-temperature components. Analysis of recent publications (2024-2025) reveals three dominant research thrusts: turbine cooling optimization (film/phantom cooling configurations), particle dynamics in gas paths (impact/rebound mechanics), and novel measurement techniques (strain sensors, multiphase flow diagnostics). These studies consistently target performance enhancement and durability improvement in turbomachinery through experimental validation. Dr. Ng's exceptional contributions are recognized through: Virginia Tech Faculty Entrepreneur Hall of Fame (2017) William E. Wine Award for teaching excellence (2014) Multiple Certificates of Teaching Excellence (1985,1988,2011,2014) Dean's Award for Research Excellence (2013) Consecutive Best Paper Awards from ASME/AIAA (2001-2013) Fellow of ASME (1996) and Associate Fellow of AIAA (1992) As director of the Ng Lab, he maintains active collaborations with industry partners through Techsburg, Inc. (where he serves as Chairman) to translate research into commercial applications. His work on drone aeroacoustics and turbine diagnostics directly informs next-generation propulsion systems while addressing critical challenges in particle ingestion and thermal management.

Papadimitriou KyprianosView profile

Researcher

• Reconfigurable Systems
• Hardware Design
• Digital Systems
• +7 more

Kyprianos Papadimitriou is a Researcher at the Microprocessor and Hardware Laboratory within the School of Electrical and Computer Engineering at the Technical University of Crete . He holds a PhD in Electronic and Computer Engineering (2012) and has been involved in teaching laboratory courses such as Logic Design , Computer Architecture , and VLSI/ASIC Circuit Design . Research Areas : His work spans Reconfigurable Systems , Hardware Design , Computer Architecture , RFID Systems , and Real-Time Systems . He has developed innovative approaches in FPGA-based dynamic reconfiguration, MPSoC security, and 3D stereo vision for surveillance. Key Trends : Runtime reconfiguration for FPGAs Security frameworks for NoC-based MPSoCs Low-cost embedded vision systems Optimization of reconfiguration overhead Hardware task scheduling methodologies Genetic algorithm implementations on FPGAs Scientific Contributions : 1 USA patent (2005) Co-author of VLSI-SoC 2013 paper nominated for 1st Prize Active member of scientific committees (FPL, ReConFig) Peer reviewer for IEEE, Elsevier, and Springer journals Session chair at IEEE CNS and HPCC conferences Grants & Projects : Participated in competitive European and national programs, serving as scientific manager, coordinator, and technical coordinator. Developed spin-off company (2003-2005) to commercialize master's thesis research. Laboratory & Teaching : Affiliated with the Microprocessor and Hardware Laboratory , focusing on practical training in digital systems, processor-based systems, and VLSI design.

Arianto PatunruView profile

Research Fellow

• International Economics
• Economic Development
• Trade Policy
• +4 more

Arianto Patunru is a Research Fellow at the Arndt-Corden Department of Economics within the Crawford School of Public Policy at the Australian National University (ANU). He joined ANU in 2012 and holds a PhD from the University of Illinois at Urbana-Champaign. His roles include coordinating the ANU Indonesia Project, overseeing policy engagements such as the Australia-Indonesia High Level Policy Dialogue, and managing the Indonesia Project on COVID-19 initiatives. Patunru previously headed the Institute for Economic and Social Research (LPEM-FEUI) in Jakarta and taught economics at Universitas Indonesia. His research focuses on international trade, economic development, globalization, and policy analysis. He has published in journals like the American Journal of Agricultural Economics , Journal of Development Studies , and Bulletin of Indonesian Economic Studies , where he serves as an editor. Patunru frequently contributes to policy debates through op-eds in platforms like East Asia Forum and The Conversation , addressing issues such as Indonesia’s economic strategy, trade policies, and climate change. Key research themes include the impact of economic reforms (e.g., Indonesia’s Omnibus Law), trade policy dynamics, and the role of foreign investment. He has explored topics like labor share declines in manufacturing, environmental policy challenges, and vaccination strategies during the pandemic. Patunru’s work bridges academic analysis with practical policy advice, emphasizing Indonesia’s integration into global value chains and the need for balanced economic strategies.

Andreas GrotheyView profile

Senior Lecturer

• Stochastic Programming
• Interior Point Methods
• Decomposition Methods
• +5 more

Andreas Grothey is a Senior Lecturer in the School of Mathematics at The University of Edinburgh, a position he has held since 2011. He completed his MSc in Numerical Algebra and Mathematical Computing at the University of Dundee (1995) and his PhD in Optimization at the University of Edinburgh (2001), supervised by Ken McKinnon. His research focuses on stochastic programming, interior point methods, decomposition approaches, high-performance computing, and energy systems optimization. He has contributed to energy planning, power grid reliability, and emergency response strategies for power networks. Grothey has advised seven PhD students, including work on unit commitment, top-percentile traffic routing, and power flow optimization. His projects include the OOPS solver, CESI energy integration center, and the Structured Modelling Language (SML). Recent work addresses pandemic policy optimization and exascale computational challenges. Education: MSc in Numerical Algebra and Mathematical Computing (University of Dundee, 1995) PhD in Optimization (University of Edinburgh, 2001) Research Interests: Stochastic Programming Interior Point Methods Decomposition Methods High-Performance Computing Energy Systems Optimization Advising & Projects: PhD Supervision (7 students, 2007–2022) OOPS Parallel Solver Development CESI Energy Systems Integration SML Structured Modelling Language Labs/Teams: Member of the Edinburgh Research Group on Optimization, leading projects in power grid stability and energy planning.

Miaki IshiiView profile

Professor

• Seismology
• Geophysics
• Earthquake Studies
• +5 more

Miaki Ishii is a Professor of Earth and Planetary Sciences at Harvard University, affiliated with the Department of Earth and Planetary Sciences. She leads the Harvard Seismology Group and has held academic roles at Harvard since 2006, progressing from Assistant to Associate Professor and then Full Professor. Education: Ph.D. in Geophysics (2003), Harvard University Hon.B.Sc. in Physics (1998), University of Toronto Research Interests: Ishii specializes in seismic imaging of Earth's internal structure, including the mantle and core. Her work focuses on earthquake mechanisms, signal processing, and theoretical seismology. She uses seismic data to study rupture dynamics, subduction zone processes, and free oscillations of the Earth. Key Contributions: Notable projects include analyzing the 2011 Tohoku-Oki earthquake rupture, developing the DigitSeis software for analog seismogram digitization, and studying inner core anisotropy using normal mode splitting. Her research integrates high-performance computing and waveform inversion techniques. Awards: James B. Macelwane Medal (2009) Kavli Fellow (2012) Charles F. Richter Award (2008) Alice Wilson Award (2004) Labs/Teams: Directs the Harvard Seismology Group, collaborating internationally on seismic networks like Hi-net and USArray. Her work bridges computational seismology with observational geophysics.

David BogardView profile

Professor

• Thermal Fluids Systems
• Turbulence Research
• Turbine Blade Cooling
• +5 more

David Bogard is a Professor in the Department of Mechanical Engineering at The University of Texas at Austin, holding the Baker Hughes Incorporated Centennial Professorship. He leads research in thermal-fluid systems and turbulence, with a focus on turbine blade cooling and drag reduction. His work combines experimental and computational methods to optimize film cooling designs, thermal barrier coatings, and internal cooling channel configurations. Key contributions include studies on shaped film cooling holes, additive manufacturing applications, and crossflow effects in turbine components. Educational background: Ph.D. in Mechanical Engineering from Purdue University (1982). Joined UT Austin faculty immediately post-Ph.D. Research interests emphasize turbine aerothermal performance, with specializations in: Adjoint-optimized film cooling hole geometries Compressible flow effects on cooling efficacy Additive manufacturing for turbine cooling components Thermal degradation mechanisms and contaminant deposition Recent work includes evaluating adjoint-optimized cooling hole performance (2024), printability of additively manufactured cooling geometries (2023), and crossflow-fed shaped hole analysis (2022). His research bridges fundamental fluid mechanics with industrial turbine design challenges. Awarded the 2002 Outstanding Graduate Advisor at UT Austin. Over 130 technical publications span experimental validation, CFD modeling, and turbine cooling innovation. Active in collaborative industry projects with companies like Baker Hughes. Labs/Teams: Turbulence and Turbine Research Cooling Laboratory. Collaborates with research centers focusing on aero-thermal systems and advanced manufacturing.

• Online Consumer Behavior
• Consumer Trust
• E-commerce
• +7 more

Plavini Punyatoya is an Assistant Professor at the MT School of Management, New Jersey Institute of Technology (NJIT). Her research focuses on online consumer behavior, trust in digital retail environments, brand community management, and supply chain technologies. She has published extensively in marketing and business journals, with a strong citation record in areas related to consumer trust and e-commerce. Her research interests center on understanding how cognitive and affective trust influence online customer behavior, particularly in the Indian market. She investigates factors affecting loyalty towards e-tailers, including privacy and security policies, retailer reputation, and perceived risk. Additionally, her work explores the impact of online brand communities and supply chain technology internalization on firm performance. These themes reflect a strong interdisciplinary approach combining marketing, information systems, and operations management. The trend in her recent publications shows a consistent focus on digital consumer behavior and trust mechanisms, with increasing emphasis on integrated models and technological adoption in supply chains. Her work spans both theoretical frameworks like signaling theory and empirical studies in emerging markets. While no formal scientific awards are listed in the provided text, her research has garnered significant attention, as evidenced by high PlumX captures and Scopus citations, particularly for her 2019 article on cognitive and affective trust. She has collaborated with researchers such as A. Saini, D. Pattanayak, A. Satpathy, and A. Agrawal. Although specific details about student advisement or grant funding are not mentioned, her publication record suggests active research engagement. She is involved in academic communities such as the Academy of Marketing Science, as indicated by her conference proceedings.

• Magnetic Resonance Imaging (MRI)
• Functional MRI (fMRI)
• Biomedical Imaging Physics
• +6 more

Dr. Gary Glover is a Professor of Radiology (Radiological Sciences Lab) at Stanford University , with courtesy appointments in Psychology and Electrical Engineering. His work focuses on the physics and mathematics of MRI, particularly rapid scanning methods using spiral k-space trajectories for functional brain imaging and multimodal neuroimaging (fMRI/EEG/fPET/fNIRS) combined with neuromodulation techniques like TMS and transcranial ultrasound. Academic Appointments: Radiology, Psychology, Electrical Engineering Professional Affiliations: Bio-X, Stanford Cancer Institute, Wu Tsai Neurosciences Institute Research Interests include: Development of blood oxygen level-dependent (BOLD) and viscoelastic contrast in MRI Functional MR Elastography for brain activation mapping Optimization of MR-ARFI for transcranial ultrasound guidance Automated spinal cord segmentation (EPISeg) using machine learning Scientific Awards : National Academy of Engineering (2013) Gold Medal, ISMRM (2000) Steinmetz Award, General Electric (1985) Lauterbur Lecture, ISMRM (2018) Recent Publications analyze: Fast fMRI sampling and spurious signal correction Dissociated patterns in default mode network anti-correlations Neural correlates of collaborative behavior in triadic fMRI Salience network contributions to depression pathophysiology

Chris FreemanView profile

Professor

• Iterative Learning Control
• Repetitive Control Theory
• Biomedical Engineering
• +7 more

Chris Freeman is a Professor of Robotics and Control at the University of Southampton's Electronics and Computer Science (ECS) school. His research focuses on iterative learning control theory, biomedical engineering, and robotics with applications in industrial automation and healthcare. As Deputy Head of School (Equity, Diversity and Inclusion) and Chair of the ECS Belonging, Inclusion, Diversity and Equity (BIDE) Committee, he drives initiatives promoting inclusive academic environments. Freeman leads multidisciplinary research projects such as "Towards intelligent, pervasive, high performance control system architectures" "Elder Athletes: building incidental interaction at home" "Low-cost personalised instrumented clothing with integrated FES electrodes" . His work combines robotics, functional electrical stimulation (FES), and wearable technologies to develop rehabilitation systems for stroke patients and industrial automation solutions. His recent publications demonstrate expertise in iterative learning control (ILC), model predictive control, and biomedical applications. Research groups include: Digital Health and Biomedical Engineering Institute for Life Sciences Centre for Health Technologies Centre for Robotics