جست‌وجوی استاد و پژوهشگر

Santasri R. Bose-Pillaiمشاهده پروفایل

عضو هیئت علمی

• Optics
• Directed Energy Applications
• Laser Communications
• +۳ مورد دیگر

Santasri R. Bose-Pillai is a Research Assistant Professor at the Air Force Institute of Technology (AFIT) within the Engineering Physics department, part of the Center for Directed Energy. She holds a PhD in Electrical Engineering (Optics focus) from New Mexico State University (2008), an M.S. in Electrical Engineering (2005), and a B.S.E.E. with honors from Jadavpur University, India (2000). Her research focuses on atmospheric optics, directed energy applications, and laser communications, with expertise in turbulence profiling, imaging through atmosphere, and partially coherent source generation. She is a senior member of SPIE and a member of OSA and DEPS. Prior roles include Visiting Assistant Professor at Rose-Hulman Institute of Technology. Notable achievements include advising students awarded the Dean’s thesis prize (2020) and best student presentation (2019). Her work spans academic collaborations, with over 30 peer-reviewed publications and contributions to conferences such as IEEE Aerospace and SPIE. Key contributions include developing methods for atmospheric turbulence measurement using Hartmann sensors and time-lapse imagery. Education: PhD, Electrical Engineering (Optics), New Mexico State University, 2008 M.S., Electrical Engineering, New Mexico State University, 2005 B.S.E.E. (Honors), Jadavpur University, India, 2000 Research Interests: Optical turbulence profiling Directed energy systems Laser communication reliability Partially coherent source engineering Awards: Jadavpur University Alumni Association Award for academic excellence (2000) Co-advisor to Dean’s award-winning thesis (2020) Advisor to best student presentation (2019) Advising & Collaboration: Guided students Alexander Boeckenstedt and Benjamin Wilson. Active in directed energy research teams at AFIT.

Bryan Bzdekمشاهده پروفایل

دانشیار

• Aerosol Chemistry
• Atmospheric Chemistry
• Surfactant Dynamics
• +۳ مورد دیگر

Dr Bryan Bzdek is a Proleptic Associate Professor in the School of Chemistry at the University of Bristol. His research focuses on aerosol microphysics, surfactant dynamics, and respiratory aerosol generation mechanisms. He investigates the physical and chemical properties of aerosols in environmental, biomedical, and industrial contexts. Key research areas include: Surfactant behavior in microscopic droplets Aerosol generation during medical procedures and vocal activities Surface tension dynamics in finite-volume droplets Filtration efficiency of protective equipment His work combines experimental techniques like aerosol optical tweezers with computational modeling. Recent studies address aerosol risks in healthcare environments and musical instrument use, contributing to public health and safety guidelines. Collaborations involve interdisciplinary teams from chemistry, medicine, and engineering. He has published extensively on aerosol physics, surfactant chemistry, and environmental applications.

Ying Wangمشاهده پروفایل

استاد مدعو

• Sustainability Assessment
• Sustainability Strategy
• Corporate Social Responsibility
• +۲ مورد دیگر

Dr. Ying Wang is an Adjunct Professor at the University of Illinois Urbana-Champaign and serves as a Science Lead at U.S. Farmers & Ranchers in Action (USFRA), focusing on sustainability strategies and environmental mitigation. Her interdisciplinary expertise bridges academia and industry, emphasizing corporate social responsibility and sustainable supply chain management. Education: She holds a B.S. in Analytical Chemistry from Lanzhou University, an M.S. in Environmental, Health, and Safety Management from Rochester Institute of Technology (RIT), and a Ph.D. in Polymer Chemistry and Physics from Sun Yat-sen University. Research Interests: Dr. Wang’s work spans sustainability assessment methodologies, environmental policy integration, and innovative solutions for reducing agricultural carbon footprints. She combines technical expertise in material science with strategic sustainability frameworks to address global environmental challenges. Publications: Her research outputs highlight contributions to electrochemical systems, membrane technologies, and nanomaterial applications. Recent articles focus on neural network-driven high-speed link modeling and advanced materials for energy storage, reflecting her cross-disciplinary approach. Awards/Grants: No specific awards or grants were mentioned in the provided text, but her roles at USFRA and academic contributions suggest involvement in industry-academia partnerships. Labs/Teams: Not explicitly detailed in the text, though her work at USFRA involves collaborative efforts with farmers, researchers, and policymakers to advance sustainable agricultural practices.

Ying Zhuمشاهده پروفایل

مدرس ارشد

• Biosensors
• Nanotechnology
• Biomedical Engineering
• +۵ مورد دیگر

Dr. Ying Zhu is a Senior Lecturer at the School of Biomedical Engineering, University of Technology Sydney (UTS), and the group leader of the Laboratory of In-Vitro NanoDiagnostics. She holds a PhD in optical biosensors from UNSW (2011–2015), supervised by Prof. Justin Gooding, and completed postdoctoral research at Dartmouth College’s Thayer School of Engineering (2015–2017). Her research focuses on advancing diagnostic technologies using nanoplasmonic biosensors and extracellular vesicle analysis for cancer detection. She has secured ~$2 million in grants, including the ARC DECRA (2024) and Cancer Institute NSW Fellowship (2017–2020). Dr. Zhu’s expertise spans nanotechnology, biomedical engineering, and translational cancer research. Her work bridges lab-to-clinic applications, emphasizing clinical translation of biosensors and liquid biopsy techniques. Notable achievements include a highly cited paper in Clinical Medicine (2025) and 31 publications in top-tier journals (82.6% in top 10% journals, H-index 19). Education: PhD in Optical Biosensors (UNSW), Postdoc at Dartmouth College Awards: ARC DECRA, Cancer Institute NSW Fellowship Labs: Laboratory of In-Vitro NanoDiagnostics Teaching: Co-coordinates Biomedical Engineering courses (41160/42721) Her research portfolio includes funded projects on optical metasurfaces, nanoplasmonic sensors, and exosome-based diagnostics. Recent articles highlight innovations in quantum sensors, single-vesicle analysis, and cancer biomarker detection.

Mark Sheplakمشاهده پروفایل

استاد

• MEMS
• Aeroacoustics
• Fluid Mechanics
• +۶ مورد دیگر

Mark Sheplak is a Professor at the University of Florida, holding joint appointments in the Department of Electrical & Computer Engineering and the Department of Mechanical & Aerospace Engineering within the Herbert Wertheim College of Engineering. He leads the Interdisciplinary Microsystems Group (IMG), focusing on MEMS-based sensor and actuator development for aerospace and fluid dynamics applications. His research emphasizes high-performance instrumentation in harsh environments, including hypersonic flow measurement, aeroacoustic noise localization, and wall shear stress sensing. Education: He earned his BS, MS, and PhD in Mechanical Engineering from Syracuse University (1989, 1992, 1995). Postdoctoral work at MIT (1995–1998) preceded his role at UF since 1998. He is affiliated with centers like the Multi-functional Integrated System Technology (MIST) and Florida Center for Advanced Aero-Propulsion (FCAAP). Research Highlights: His group develops MEMS sensors for pressure, shear stress, and dynamic flow characterization, with applications in aerospace, energy, and automotive sectors. Notable projects include the High Operational Temperature Sensors (HOTS) program (DARPA-funded) and the AEROMORPH Center of Excellence for morphing aerospace systems. He holds awards such as AIAA Associate Fellow and Acoustical Society of America Fellow. Grants & Collaborations: IMG collaborates with institutions like Sandia National Labs and Florida State University. Recent projects include sapphire-based pressure sensors and flush-mount microphones for aircraft arrays. His work spans academic-industry partnerships, including the start-up IC² for commercializing wall shear stress sensors. Students & Advising: He has advised numerous PhD students, including Austin Vera (NDSEG Fellow), Brett Freidkes (NSF GRFP), and Haocheng Zhou. IMG also fosters undergraduate research, exemplified by Alexander Reilly’s AIAA Region II award. Labs & Teams: IMG operates advanced fabrication and testing facilities, emphasizing interdisciplinary research. Key labs include the MEMS fabrication lab and wind tunnel facilities for sensor validation.

• Machine Learning
• Deep Learning
• Computer Vision
• +۸ مورد دیگر

Dr. Amir Atapour-Abarghouei is an Assistant Professor in the Department of Computer Science at Durham University, UK, and a Fellow of the Wolfson Research Institute for Health and Wellbeing. He leads the VIViD (Vision, Imaging and Visualisation in Durham) research group. Previously, he held roles at Newcastle University and Shahid Bahonar University of Kerman (Iran). His research focuses on machine learning, deep learning, computer vision, 3D scene understanding, and natural language processing. Notable contributions include the GANomaly anomaly detection framework, now part of Intel's AI products. Education : Ph.D., Computer Science, Durham University (UK) M.Sc., Computer Science, Universiti Teknologi Malaysia (Malaysia) B.Sc., Computer Engineering, Shahid Bahonar University of Kerman (Iran) Research Interests : His work spans machine learning, deep learning, image processing, 3D scene analysis, and robotics. Key areas include depth estimation, domain adaptation, semantic segmentation, and causal-based models for action quality assessment. Recent projects involve datasets like DurTOMD and Dur360BEV for autonomous systems and image inpainting techniques (e.g., HINT, SEM-Net). Advising & Grants : He supervises over 15 postgraduate students and has contributed to grants focused on AI-driven systems in healthcare, robotics, and computer vision. His team's work on GANomaly and neural architecture search (NAS) has been widely cited and applied in industry. Labs/Teams : Leads the VIViD Research Group and collaborates on interdisciplinary projects involving healthcare imaging, autonomous vehicles, and ethical AI. Active in organizing workshops at CVPR, IEEE BigData, and the BMVA Summer School.

Jufan Zhangمشاهده پروفایل

استادیار

• Nanopore Manufacturing
• Micro/Nano Manufacturing
• Biomedical Devices
• +۳ مورد دیگر

Dr. Jufan Zhang is an Assistant Professor at the School of Mechanical and Materials Engineering, University College Dublin, Ireland. He is also a member of the UCD Centre of Micro/Nano Manufacturing Technology and the SFI I-Form Advanced Manufacturing Research Centre. His research focuses on advanced manufacturing technologies including nanopore arrays, microneedle devices, geometrical waveguide AR displays, and atomic-scale manufacturing. He holds a PhD from Harbin Institute of Technology, China. Education: B.E., M.E., and Ph.D. in Mechanical Engineering from Harbin Institute of Technology, China Professional Roles: Faculty member, Lab Manager, and funded investigator in multiple research centers Research Interests: Manufacturing of large-scale solid-state nanopore arrays for biomedical and renewable energy applications Design of microneedle drug delivery systems Optical waveguide innovations for ultra-thin AR displays Surface texturing for improved joint tribology Atomic-scale manufacturing processes Recent articles highlight advancements in nanopore array applications, laser shock peening for additive manufacturing, and AR display technologies. His work bridges fundamental research with industrial applications through collaborations with companies like Watson Biotech and Changan University. Awards include the Career Development Award (UCD), International Science and Technology Cooperation Base recognitions (Shaanxi and Xi’an provinces), and top downloaded article honors. He actively participates in global conferences and serves on editorial and review boards for journals like Small and International Journal of Advanced Manufacturing Technology . Teaching responsibilities include coordinating modules like Automotive Design and Thermodynamics, with recent teaching awards for curriculum reform. He supervises PhD students and manages over 30 grants totaling €multi-million, including EU and industry partnerships. Lab affiliations include the UCD AI Healthcare Hub and the Una Europa Self-Steering Committee on Future Materials, advancing interdisciplinary research in manufacturing and healthcare.

Keith M. Alcockمشاهده پروفایل

مربی

• Sustainable Energy
• Energy Storage
• Thermal Management
• +۳ مورد دیگر

Keith M. Alcock is an Associate Tutor at the University of East Anglia (UEA), affiliated with the School of Engineering, Mathematics and Physics. He holds a PhD in Thermal Monitoring and Management of Lithium-Ion Batteries from Edinburgh Napier University (2023), an MSc in Renewable Energy (2016), and a BEng in Energy & Environmental Engineering (2015), all from Edinburgh Napier University. His research focuses on sustainable energy systems, particularly thermal management of batteries, sensor integration for energy storage devices, and eco-friendly materials for electrochemical applications. He is a member of UEA’s Sustainable Energy Research Group. Key research areas include lithium-ion battery thermal monitoring, supercapacitor development using biopolymers, and innovative cooling solutions for energy storage systems. His work emphasizes practical applications of fiber optic sensors and biomass-derived materials in enhancing battery safety and efficiency. Alcock has collaborated on projects involving manganese dioxide/carbon composites, water hyacinth cellulose nanofibers, and phase change materials for thermal management. His publications span topics like individual cell-level temperature monitoring, accessible sensor embedding methods, and aluminum-ion battery separator characterization. He maintains an external affiliation with Edinburgh Napier University as Associate Staff since 2023. No scientific awards are listed, though his work has garnered citations across peer-reviewed journals and conferences.

• Computer Science
• Data Analytics
• Software Engineering
• +۱ مورد دیگر

Dave Voorhis is a Lecturer in Computing at the University of Derby's Department of Electronics, Computing and Mathematics. His research bridges computer science and environmental applications, with expertise in data processing architectures, game design evolution, and cloud-based computational frameworks. Research interests focus on relational database systems , big data analytics in educational contexts , and computational methods for environmental monitoring . His work demonstrates consistent innovation in applying computing principles to solve practical problems across diverse domains. Publication analysis reveals sustained contributions to: Satellite data processing techniques for climate science Foundational database architecture research Pedagogical approaches for data science education This interdisciplinary output establishes significant connections between computational theory and real-world implementations.

Iván Gonzálezمشاهده پروفایل

مدرس ارشد

• Assistive Technologies
• Quantitative Gait Analysis
• Frailty Assessment
• +۸ مورد دیگر

Dr. Iván González is a Senior Lecturer at the University of Castilla-La Mancha (UCLM), affiliated with the Faculty of Social Sciences and Information Technologies. He holds a M.Sc. and Ph.D. in Advanced Computer Technologies from UCLM. As a member of the MAmI Research Group, his work focuses on Assistive Technologies, Smart Health, and IoT-based solutions for healthcare monitoring. He has authored 16 JCR articles and supervised 2 PhD theses with 4 ongoing. Education: M.Sc. in Advanced Computer Technologies, UCLM Ph.D. in Advanced Computer Technologies, UCLM His research interests emphasize Quantitative Gait Analysis, Frailty assessment, and Mild Cognitive Impairment screening using wearable sensors and mobile technologies. Recent projects include the EU-funded TAICare initiative (2021-2023) and Just Move! (2022), focusing on movement analysis and cognitive health monitoring. Key Contributions: - Developed a 3D motion capture system for gait automation - Created emotion recognition algorithms using gait patterns - Designed energy-efficient wearable data storage systems - Pioneered conversational agents for IADL monitoring Academic Service: 2nd Academic Year Coordinator (2020, 2024–present) Computer Engineering Degree Coordinator (2020–2024) Lab Affiliation: MAmI Research Group (specializing in Ambient Intelligence and IoT solutions).

• AI-Empowered Structural Health Monitoring
• Resilient Infrastructure Systems
• Risk Assessment
• +۵ مورد دیگر

Dr. Zhibin Lin is an Associate Professor in Civil Engineering at The University of Texas at Arlington. His research focuses on AI-empowered structural health monitoring, resilient infrastructure systems, and innovative materials for sustainable civil infrastructure. He holds a PhD from the University of Wisconsin (2010) and MS/BS degrees from Nanchang University (2003/2000). Awards : Innovation in Teaching Award (2023), Best Paper Award (ASCE Pipeline Conference 2022), Research of the Year Award (2022), and KSCE Springer Award (2020). Recent Grants : Includes USDOT PHMSA-funded work on hydrogen infrastructure risk assessment ($124,800), Water Research Foundation projects on sensor networks for sewer systems ($324,123), and NSF-funded initiatives in corrosion-resistant materials. Teaching : Leads graduate courses in civil engineering research, dissertation supervision, and senior project design. Actively advises PhD/Master's students and postdocs. Service : Serves as Associate Editor for ASCE Journal of Pipeline Systems Engineering and Practice, President of ASCE North Dakota Section, and reviewer for NSF/USDOT grants.

Priyanka Kakadeمشاهده پروفایل

مدرس

• Optical Communications
• Numerical Modelling of Optical Systems
• Free Space Optical (FSO) Communication
• +۳ مورد دیگر

Priyanka Kakade is a Lecturer in Electronics and Communication Engineering at Sheffield Hallam University's Department of Engineering and Mathematics, part of the College of Business, Technology and Engineering. She serves as Course Leader for the Degree Apprenticeship BEng Electrical and Electronic Engineering Technology program. Her academic career includes a B.Tech. from SNDT University (2007), M.Sc. in Photonic Communications (2008-2013), and a PhD in Optical Communications from the University of Nottingham (UK). Her research focuses on numerical modeling of optical systems, with expertise in optical amplification/regeneration, FSO communication, and OFC systems. Notable projects include burst mode regenerator applications for long-haul OFC, dual-stage EDFA designs, and atmospheric turbulence mitigation in FSO systems. Recently, she contributed to aeronautical engineering projects involving optical data backup systems and direct fusion drive feasibility analysis. Teaching responsibilities span BEng and MSc modules in communication engineering, analogue/digital electronics, and railway communications. She received the BTE College's 2023-2024 Outstanding Academic Advisor Award and became a Fellow of the Higher Education Academy (FHEA) in 2023. Education: B.Tech. in Electronics and Communication Engineering, SNDT University (2007) M.Sc. in Photonic Communications, University of Nottingham (2013) PhD in Optical Communications, University of Nottingham (2013) Awards: BTE College's Outstanding Academic Advisor Award (2023-2024) FHEA Fellowship (2023) Research publications emphasize optical communication system optimization, with recent work in quantum-based GNSS satellite selection and direct fusion drive feasibility. Teaching innovations include rubric-based assessment methodologies.

• Separation Science
• Analytical Chemistry
• 3D Printing
• +۵ مورد دیگر

Fernando Maya Alejandro is a Senior Lecturer in Chemistry at the University of Tasmania’s School of Natural Sciences. His expertise spans Analytical Chemistry , Separation Science , 3D Printing , and Metal-Organic Frameworks . He holds an MSc (2007) and PhD (2011) from the University of the Balearic Islands (Spain), with postdoctoral experience at Lawrence Berkeley National Laboratory (2012-2013) and the University of the Balearic Islands (2014-2018). Research Themes : Development of novel separation methods for microplastics/nanoplastics, synthesis of porous polymers/hybrid materials, 3D-printed analytical systems, and innovative sample preparation techniques. Teaching Responsibilities : Unit Coordinator for Chemistry 1B; teaches Introduction to Chemistry, Environmental Chemistry, Physical and Analytical Chemistry, and Advanced Analytical Techniques. Scientific Awards & Editorial Roles : 2023-2024: Guest Editor, Talanta Open 2023: Associate Editor, Separation Science Plus 2020: Associate Editor, Journal of Separation Science 2017: FIA Award for Young Researchers Grants & Collaborations : Leads funded projects like the CRC for High Performance Soils initiatives (2023-2025) for field-based soil analysis and mobile water extraction systems. Collaborates with industry partners (e.g., Syrinx Environmental Pty Ltd) and institutions like ACROSS and TIA.

• Edge Computing
• Satellite Communications
• Network Virtualization
• +۳ مورد دیگر

Haffay ABREHA is a Doctoral researcher at the University of Luxembourg's Interdisciplinary Centre for Security, Reliability and Trust (SnT), within the SigCom department. His research focuses on advanced networking technologies, including edge computing, satellite communications, and federated learning. He holds a strong interest in network virtualization, resource management, and optimizing mission-critical applications in distributed systems. Contact: haftay.abreha@uni.lu Research Interests: ABREHA’s work spans satellite edge networks, federated learning frameworks, fog computing monitoring, and resource-aware caching strategies. He explores how machine learning can enhance adaptive systems and improve network reliability in dynamic environments. Recent studies emphasize fairness-aware VNF scheduling, SDN/NFV integration, and optimizing content delivery in multi-layer satellite architectures. Labs/Teams: Active member of the SigCom research group at SnT, contributing to interdisciplinary projects on secure and reliable communication systems.

Paul Daveyمشاهده پروفایل

دانشیار

• Graphene Sensors
• Nanotechnology
• Magnetic Recording Technologies
• +۴ مورد دیگر

Dr. Paul Davey is an Associate Professor in Electronics and Embedded Systems at the School of Engineering, Computing and Mathematics, University of Plymouth. He serves as Final Year Projects Manager for modules PROJ324/325/515, Module Leader for Embedded Systems (ELEC240), and Academic Liaison Person (ALP). His research focuses on graphene-based biosensors, magnetic recording technologies, and embedded systems design. He teaches courses including Interfacing Microprocessors, Robotics Projects, and Internet Technologies. Dr. Davey's work contributes to the UN Sustainable Development Goals (SDGs) related to innovation and industrialization, particularly through advancements in sensor technology and sustainable engineering solutions. His research spans nanoelectronics, environmental monitoring systems (e.g., Pb 2+ detection), and biomarker sensing for medical diagnostics. His publications (2003–2022) address graphene field-effect transistors, magnetic recording channel optimization, and energy-efficient DC-DC converters. While no awards are listed, his work demonstrates significant contributions to interdisciplinary fields merging materials science, electronics, and biomedical applications. Dr. Davey’s advising and grant activities are not explicitly detailed in the profile, though his teaching roles suggest active student mentorship. His research aligns with Plymouth’s focus on applied technology and sustainable innovation.