جست‌وجوی استاد و پژوهشگر

Frank Liمشاهده پروفایل

استاد

• Electrical Engineering
• RF Engineering
• Autonomous Power Conversions
• +۴ مورد دیگر

Dr. Frank Li serves as Professor and Director of the Rayen School of Engineering at Youngstown State University, holding a concurrent position as Chair of the Department of Electrical and Computer Engineering. His academic leadership spans multiple institutional roles including department chair since 2019. His educational background includes: Ph.D. in Electrical Engineering (2005, Case Western Reserve University) M.S. in Electrical Engineering (1999, Youngstown State University) B.S. in Electrical Engineering (1995, Ohio State University) Research focuses on RF engineering, autonomous power conversions, and applied magnetic fields with significant contributions to microelectronics security, wireless sensor networks, and structural health monitoring. His work bridges theoretical advancements with practical applications in battery technology, antenna design, and semiconductor verification. Recent publications demonstrate strong emphasis on terahertz antenna fabrication, trusted microelectronics, and novel sensor development. Key scientific recognitions include: Youngstown State University Distinguished Chairperson (2023) NASA Glenn Summer Faculty Fellowship (2016, 2017) As an educator, Dr. Li has mentored over ten graduate students and developed innovative low-cost laboratory systems for engineering education. His externally funded research includes collaborations with NASA and MIT's Francis Bitter Magnetic Laboratory where he served as visiting scientist (2014-2015). Current work involves advanced manufacturing techniques for RF components and security verification of integrated circuits.

Stephen Faulknerمشاهده پروفایل

استاد

• Synthetic Chemistry
• Spectroscopy
• Biomedical Imaging
• +۵ مورد دیگر

Professor Stephen Faulkner is a leading academic at the University of Oxford, serving as Head of the Department of Chemistry at Keble College. His research focuses on the synthesis and application of lanthanide complexes for advanced biomedical imaging and sensing technologies. Key areas include ratiometric probes for redox stress detection, luminescent materials for MRI/FLIM imaging, and targeted drug delivery systems using supramolecular chemistry. His work bridges inorganic chemistry, spectroscopy, and biomedicine to address challenges in molecular diagnostics and therapeutics. Research Highlights: Development of heterometallic lanthanide complexes for dual-modal imaging (MRI + luminescence) Pioneering studies on photoswitchable luminescent probes controlled by light Innovative approaches to quantify biological analytes via ratiometric sensing Exploration of ligand-induced magnetic anisotropy effects in lanthanide systems Recent Trends in Publications: Professor Faulkner's recent work emphasizes nanohybrid materials for cellular imaging, hypoxia-level discrimination in cancer cells, and sustainable polymerization catalysts. His lab has also advanced techniques like time-gated imaging to detect ultra-low probe concentrations ( Awards & Recognition: While no specific awards are listed, his contributions to lanthanide-based imaging probes have been widely cited in the field. Labs & Teams: The Faulkner Group at the University of Oxford focuses on interdisciplinary projects combining synthetic chemistry, analytical methods, and biomedical applications. Current initiatives include developing MRI-compatible ratiometric probes and exploring luminescence in near-infrared regimes.

• Materials Science
• Biotechnology
• Chemical Engineering
• +۳ مورد دیگر

Professor Mike O'Shea holds the position of Research Engagement Leader within the Academic Division, Research Portfolio, and Office of the PVC, Research Infrastructure at Queensland University of Technology (QUT). He earned his Doctor of Philosophy (University of Queensland) and has contributed significantly to interdisciplinary research at the intersection of materials science, biotechnology, and environmental engineering. Education: Doctor of Philosophy (Chemistry/Biotechnology), University of Queensland Research Interests: Professor O'Shea's work focuses on advancing sustainable technologies, including biomass processing, polymer synthesis for biomedical applications, and waste management solutions. His research emphasizes renewable resources, nanomaterials, and antimicrobial polymers. Key areas include: Biorefinery systems and biofuel production Development of smart materials and functional polymers Recycling and circular economy strategies Biomedical applications of polymers Publications Overview: His publications span 20 years, with contributions to journals like Journal of Materials Science and Journal of Neural Engineering . Recent work highlights include studies on mattress recycling, antimicrobial coatings, and nanofiber fabrication. His research bridges fundamental science and industrial applications, addressing global challenges in sustainability and healthcare. Awards & Recognition: While no specific awards are listed, his leadership roles and prolific publication record reflect his impact in interdisciplinary research. Grants & Advising: Details on grants or advisees are not explicitly mentioned, but his administrative role suggests involvement in research infrastructure and collaborative projects. Labs & Teams: While specific labs are not detailed, his work aligns with QUT's focus on translational research through centers like the Centre for a Waste-Free World.

Ruud van Ommenمشاهده پروفایل

استاد

• Chemical Reaction Engineering
• Particle Technology
• Nanostructured Materials
• +۵ مورد دیگر

Ruud van Ommen is a Full Professor of Chemical Engineering at TU Delft's Faculty of Applied Sciences, leading the Product & Process Engineering section. He holds MSc and PhD degrees from TU Delft (1996 and 2001, respectively). His research focuses on multiphase reactors, particle technology, and scalable nanostructured materials production, particularly via atomic layer deposition (ALD). Key projects include ERC-funded studies on nanoparticle agglomeration/coating and collaborations with TU Delft's e-Refinery for CO2 reduction technologies. He co-founded Powall (ex-Delft IMP), a spin-off from his group. Research interests span chemical reaction engineering, nanostructured materials (e.g., for catalysis and drug delivery), and fluidization of cohesive powders. He has developed scalable ALD processes for industrial applications, leveraging X-ray tomography and CFD-DEM modeling. His work bridges fundamental science (e.g., nanoparticle agglomeration mechanisms) and practical applications in energy, pharmaceuticals, and environmental engineering. Grants include an ERC Starting Grant (2011) and industry partnerships. He has advised multiple PhD candidates and published extensively on fluidization, ALD, and nanomaterials. His lab investigates topics like photocatalytic water treatment, ALD-coated graphene, and pharmaceutical particle engineering.

Yu Zhangمشاهده پروفایل

مدرس

• Mobile Computing
• Wireless Sensor Networks
• Embedded Systems
• +۵ مورد دیگر

Yu Zhang is a Lecturer in Computing (IoT/Networking) at the School of Computing, Macquarie University, Australia. He holds a PhD in Computer Science from RMIT University, an M.Eng in Distributed Computing from the University of Melbourne, and a B.Eng in Software Engineering from Southwest University for Nationalities. His research focuses on mobile computing, wireless sensor networks, embedded systems, on-device machine learning, and IoT, with emphasis on security, edge computing, and privacy preservation. He is affiliated with the Future Communications Research Centre and Smart Green Cities Research Centre. Dr. Zhang’s work integrates theoretical advancements with practical applications in IoT and edge computing. His research outputs span secure device communication, energy-efficient networking protocols, and anomaly detection frameworks. Collaborations include projects like the CSIRO Data61 PhD Scholarship. He actively contributes to IEEE and ACM, addressing challenges in privacy-aware systems and federated learning.

Bahar Aliakbarianمشاهده پروفایل

دانشیار

• Sustainable Supply Chain Technology
• Food Waste Valorization
• Biomedical Engineering
• +۳ مورد دیگر

Bahar Aliakbarian is an Associate Professor in the Department of Biosystems and Agricultural Engineering (BAE) at Michigan State University (MSU), affiliated with both the College of Engineering and College of Agriculture and Natural Resources. Her research focuses on sustainable technologies, food waste valorization, and biomedical engineering. Dr. Aliakbarian’s work integrates RFID systems into supply chains for environmental and pharmaceutical applications, develops smart packaging solutions, and explores bioactive compounds from agricultural byproducts for health and industrial uses. Research Interests: RFID-enabled supply chain sustainability Extraction and encapsulation of phenolics from food waste Biodegradable vascular prostheses and biomedical materials Antioxidant-rich natural products for skin and vascular health Anti-tampering medical packaging design Key Contributions: Her studies on RFID technology address challenges in pharmaceutical tracking, beverage packaging, and environmental lifecycle analysis. She has pioneered methods to recover bioactive compounds like phenolics from tart cherry pits, olive pomace, and grape marc for cosmeceutical and biomedical applications. This work aligns with broader goals of reducing food waste and advancing sustainable materials science. Grants & Labs: While specific grants are not listed, her publications indicate active collaboration with industry partners on topics like smart packaging systems, vascular graft engineering, and agricultural waste upcycling. Her lab focuses on interdisciplinary solutions bridging engineering, agriculture, and healthcare.

Wolfgang Heissمشاهده پروفایل

استاد

• Semiconductor Materials
• Nanocrystals
• Perovskites
• +۳ مورد دیگر

Prof. Wolfgang Heiss is a Professor and Head of the Solution-Processed-Semiconductor-Materials (SOPSEM) group at the Friedrich-Alexander-University Erlangen-Nuremberg, Department of Materials Science and Engineering. He serves as Studiendekan III, overseeing student affairs. His research focuses on colloidal nanocrystals, metal-halide perovskites, and their applications in electronic devices, photonics, and X-ray detection. Key projects include 'Smart Windows' for dynamic transmittance control and X-ray imaging using perovskite materials, leading to the 2023 startup Amperial Windows Technologies. His group operates from the Energy-Campus-Nürnberg and offers Bachelor/Master theses in these areas. Research interests span semiconductor materials, nanocrystal synthesis, perovskite-based technologies, and advanced detector systems. Recent work emphasizes solution epitaxy for perovskite micro-crystals and their use in lasers, X-ray imaging, and energy harvesting. Notable achievements include high-sensitivity X-ray detectors and self-healing perovskite wafers, published in journals like Nature Electronics and Advanced Materials . Advisees and grants: The SOPSEM group actively mentors students through thesis projects. Collaborations and grants support innovations in nanomaterials and energy technologies. The group’s facilities at Energy-Campus-Nürnberg enable cutting-edge research in materials synthesis and device fabrication.

Fabio Caraffiniمشاهده پروفایل

دانشیار

• Evolutionary Computing
• Heuristic & Hyperheuristic Optimization
• Algorithm Behaviour
• +۵ مورد دیگر

Dr. Fabio Caraffini is an Associate Professor in Computer Science at Swansea University's School of Mathematics and Computer Science. He holds dual PhDs in Mathematical Information Technology (University of Jyväskylä, 2016) and Computer Science (De Montfort University, 2014), along with BSc and MSc degrees in Engineering from the University of Perugia. His research focuses on computational intelligence, particularly heuristic optimization methods like evolutionary algorithms and differential evolution. He also holds an honorary position as Senior Research Fellow at De Montfort University (2022–2024). Education History: BSc in Electronics Engineering (University of Perugia, 2008) MSc in Telecommunications Engineering (University of Perugia, 2011) PhD in Mathematical Information Technology (University of Jyväskylä, 2016) PhD in Computer Science (De Montfort University, 2014) Research Interests: Dr. Caraffini's work bridges theoretical optimization and practical applications. Key areas include evolutionary computing, structural bias analysis in algorithms, and interdisciplinary AI applications such as medical imaging, climate risk modeling, and robotics. His SOS Platform and BIAS toolbox are notable contributions to algorithm benchmarking and bias detection. Recent projects include AI-driven solutions for crop mapping, medical record analysis, and rail scheduling optimization. Publications & Trends: His 150+ publications span journals like Information Sciences , IEEE Transactions , and Applied Soft Computing . Themes include algorithmic robustness, constraint handling, and real-world optimization challenges. Notable works address differential evolution improvements, climate transition risk prediction, and medical decision support systems. Awards & Grants: Fellow of the Higher Education Academy (FHEA) Recipient of multiple research grants for projects in optimization and AI applications Advising & Collaboration: Actively supervises PhD students in AI-driven optimization and interdisciplinary applications. Collaborates with institutions globally on topics like microgrid energy management and pandemic prediction through self-organizing maps. Labs & Teams: Engaged in Swansea's Computational Foundry and the Morgan Advanced Studies Institute (MASI), contributing to cross-disciplinary research initiatives in AI and computational science.

• Biomedical Research
• Public Health
• Phenomenology
• +۴ مورد دیگر

Jacqueline Martinez is a Professor at the CISA - School of Applied Sciences and Arts, Arizona State University. Her interdisciplinary research spans biomedical sciences, public health policy, decolonial philosophy, and food safety technology. Key areas include diabetes treatment mechanisms, parasite inactivation in food processing, urban transit policy trade-offs, and phenomenological analyses of cultural and gendered experiences. Education: Formal academic credentials not explicitly listed in the provided text. Research Interests: Combines empirical and theoretical approaches across multiple disciplines: Biomedical: β-cell function modeling, cancer immunotherapy outcomes Social Science: Community health disparities, transit-oriented development policies Philosophy: Decolonial methodologies, twin identity studies, cultural phenomenology Recent Article Trends (2020-2025): Focus on translational research bridging laboratory findings (e.g., PEF food safety applications) with community-level interventions (e.g., California urban policy analysis). Philosophical works emphasize rethinking cultural communication frameworks through decolonial lenses. Awards: None explicitly mentioned in the provided materials. Grants & Advising: No specific grants listed. Advising records unavailable in current data.

Fan Yangمشاهده پروفایل

مدرس پاره‌وقت

• Materials Science
• Nanotechnology
• Environmental Engineering
• +۳ مورد دیگر

Fan Yang is a Part-Time Lecturer in the Department of Statistics at the University of Pittsburgh’s Dietrich School of Arts and Sciences. Their research focuses on advanced materials science, nanotechnology, and engineering applications. Yang’s work spans topics such as phase separation technologies, 2D materials characterization, and biomedical coatings for vascular stents. They are particularly active in developing functional coatings for oil-water separation, ionic liquid-based lubricants, and 3D-printed devices for multiphase systems. Key research contributions include studies on graphene and hexagonal boron nitride wettability, environmental contaminant effects on materials, and titanium dioxide coatings for cytocompatibility. Their interdisciplinary approach bridges chemical engineering, mechanical engineering, and biomedical applications, with a focus on practical solutions for industrial and healthcare challenges. No scientific awards or grants are explicitly mentioned in the provided texts. Advising records are also not listed here.

Moon Seung Kiمشاهده پروفایل

دانشیار

• Additive Manufacturing
• 3D Printing
• Digital Twins
• +۷ مورد دیگر

Assoc. Prof. Moon Seung Ki is an Associate Professor at the School of Mechanical & Aerospace Engineering, Nanyang Technological University (NTU), Singapore. He serves as Assistant Chair (Research) and leads the Design Sciences Laboratory, focusing on additive manufacturing, digital twins, and sustainable design. His work bridges engineering fundamentals with advanced technologies like AI and IoT to innovate in smart manufacturing systems. Education: Ph.D. in Industrial Engineering, Pennsylvania State University (2008) M.S. and B.S. in Industrial Engineering, Hanyang University, South Korea (1995, 1992) Research Interests: His research spans additive manufacturing processes (e.g., 3D printing, laser deposition), design optimization for customization, smart factories, and sustainability. Key areas include modular product architectures, embedded sensor integration, and digital twin applications for real-time production monitoring. Grants & Projects: Leading over 30 funded projects, including Singapore’s National Additive Manufacturing Innovation Cluster and collaborations with industries like Hyundai, ST Aerospace, and Samsung. Recent grants focus on 3D printing for automotive components, AI-driven alloy design, and smart factory digital twins. Labs & Teams: He directs the Design Sciences Laboratory, a hub for interdisciplinary research in additive manufacturing, product lifecycle management, and Industry 4.0 technologies. The lab emphasizes practical applications such as customized medical devices and aerospace components.

Sanowar Khanمشاهده پروفایل

استاد

• Mathematical modelling
• CAD of sensors and actuators
• Computational electromagnetics
• +۸ مورد دیگر

Professor Sanowar Khan is a Professor and Associate Dean (SSE) at the School of Science and Technology , City St George's, University of London , where he has been a faculty member since 1989. He holds a PhD and MSc (with Distinction) in Electrical Engineering from Peter the Great St Petersburg Polytechnic University, Russia. He previously served as Deputy Dean from 2008 to 2019. His research spans mathematical modelling, computational electromagnetics, finite element analysis, magnetic shape memory materials, sensor and actuator design, tomographic imaging, and measurement systems . His work integrates advanced numerical methods with practical instrumentation and biomedical applications, including hemodynamics and smart sensors. Recent publications show a strong trend in finite element modeling of electromagnetic phenomena , particularly in power systems (e.g., skin and proximity effects in cables) and biomedical engineering (e.g., carotid artery hemodynamics). He also contributes significantly to signal processing and smart material-based sensing . His editorial leadership includes being Editor-in-Chief of Sensor Review and former Associate Editor of Measurement and related journals. Fellow of the Institution of Engineering and Technology (IET) Fellow of the Institute of Measurement and Control (InstMC) Honorary Professor, Peter the Great St Petersburg Polytechnic University Founder Member, International Compumag Society (ICS) Liveryman, Worshipful Company of Scientific Instrument Makers Freeman of the City of London He advises on instrumentation standards and policy through his editorial and professional roles. He has no known PhD or Master’s students listed. He leads no specific lab or research team mentioned in the text but collaborates widely, particularly with researchers in biomedical engineering and electromagnetics.

• Robotics
• Control Systems
• Automation
• +۱۰ مورد دیگر

ABDERRAHIM FICHOUCHE, MOHAMED is an Associate Professor in the Department of Systems Engineering and Automation at the Carlos III University of Madrid (UC3M), where he also serves as Deputy Director of the Doctorate. He is affiliated with the Robotics Lab research group and the Pedro Juan de Lastanosa Institute of Technology Development and Innovation. His academic and research profile spans robotics, control systems, biomedical engineering, and power systems. His research interests include robotics , automation , control systems , biomedical signal processing , computer vision , and renewable energy integration . His work focuses on intelligent robotic systems, rehabilitation robotics, EEG-based brain-computer interfaces, fault detection in power systems, and advanced control strategies for industrial and autonomous systems. The recent publications reflect a strong trend in interdisciplinary research, combining machine learning with signal processing for applications in medical diagnostics , robotic control , and smart grid monitoring . His work increasingly integrates deep learning , wavelet analysis , and adaptive control across domains. He has led major research projects such as: HANDLE (EU and national funding): Focused on dexterous in-hand manipulation. SARAH: Enhancing robot autonomy with artificial hands. PAPREC: Automatic grasping of disordered parts. PROSAVE: Eco-efficient aircraft systems. GRAND-PA: Assistive technologies for the elderly. He currently participates in ongoing projects including: SEGVAUTO5G-CM (2025–2028): Future mobility innovation. RoboCity2030-DIH-CM (2019–2023): Madrid Robotics Digital Innovation Hub. HYPER: Neuroprosthetic and neurorobotic devices for rehabilitation. He has supervised several theses on topics such as transmission line fault detection , autonomous decision-making in robots , and 3D perception . His research is conducted primarily within the Robotics Lab at UC3M, a multidisciplinary team focusing on advanced robotic systems for industrial, medical, and service applications.

• Conductive polymer nanobrushes
• Organic mixed ionic-electronic conductors (OMIECs)
• Kinetics of radical polymerization
• +۷ مورد دیگر

Karol Wolski is an Assistant Professor at the Department of Physical Chemistry and Electrochemistry, Faculty of Chemistry, Jagiellonian University. His research focuses on conductive polymer nanobrushes, organic mixed ionic-electronic conductors (OMIECs), and nanotechnology-driven applications in energy, electronics, and biomedicine. He completed his PhD in 2016 under Prof. Szczepan Zapotoczny and has held postdoctoral positions, including collaborations at the University of Siegen (Germany) and the Max Planck Institute for Polymer Research (MPG). Education: Bachelor's in Chemistry (2010), Jagiellonian University MSc in Chemistry (2012), Jagiellonian University (supervisor: Prof. Zapotoczny) PhD in Chemistry (2016), Jagiellonian University (thesis: "Synthesis and Characterization of Conductive Polymer Nanobrushes Grafted from Flat Surfaces" ) Completed the interdisciplinary doctoral program "Society – Environment – Technologies" (2013–2016) Research interests span polymer brush synthesis (e.g., ATRP methods), AFM characterization of nanomaterials, and applications in organic electronics (e.g., memristive devices, FETs). His work bridges fundamental polymer chemistry with practical advancements in smart materials, drug delivery systems, and sustainable functional materials. Awards include the START scholarship (2018) and a Minister of Science and Higher Education scholarship (2021–2024) , along with four Rector’s Awards from Jagiellonian University (2021–2024). He has supervised 5 BSc, 4 MSc, and 3 PhD theses (co-supervisor) and currently co-supervises 3 PhD students. Grants: Principal Investigator: SONATA 14 (NCN, PLN 798,654) MAESTRO 15 (NCN, PLN 4,728,700) ADEVASCO Virtual Research Institute (PLN 78,578,024.95) Labs/Teams: Member of the Nanoengineering of Functional Polymeric Materials group. Collaborates internationally, including with MPG’s Prof. Paul Blom. Serves as Topic Editor for Polymers (MDPI) and guest editor for special issues on polymer brushes and biomedical materials.

Koutsopoulos Iordanisمشاهده پروفایل

استاد

• Federated Learning
• Explainable Artificial Intelligence
• Edge Computing
• +۳ مورد دیگر

Koutsopoulos Iordanis serves as a Professor in the Department of Informatics within the School of Information Sciences and Technology at Athens University of Economics and Business (AUEB). His office is located at 2, Troias, Kimolou & Spetson Str., 4th Floor, Office 402, with contact details including email jordan@aueb.gr and phone +30 210 - 8203 933. His research spans Federated Learning , Explainable AI for Healthcare , and Edge Computing Systems , with significant focus on the PRE-ACT project for breast cancer radiotherapy optimization. Key interests include energy efficiency algorithms, wireless networking, and AI deployment on resource-constrained devices. His work demonstrates strong interdisciplinary integration between computer science and clinical medicine. Recent publications reveal dominant trends in medical AI applications (particularly breast cancer treatment optimization), federated learning architectures for edge environments, and energy-aware systems . The PRE-ACT project constitutes a major research thrust, combining explainable AI with clinical radiotherapy decision support across multiple international institutions. He actively contributes to wireless networking research with emphasis on Software-Defined Networking (SDN) optimization, controller placement strategies, and tactical MANET implementations. His experimental work includes development of testbeds for federated learning on resource-constrained hardware.