جستجوی استاد راهنمای دانشگاهی

Ceri Hammondمشاهده پروفایل

مدرس ارشد

• Catalysis
• Bio-medical Engineering
• Chemical Engineering
• +۳ مورد دیگر

Ceri Hammond is a Senior Lecturer and Reader in Catalysis at Imperial College London's Department of Chemical Engineering, Faculty of Engineering. He leads the Hammond Lab, focusing on catalytic processes, biomedical engineering, and sustainable chemistry. His research integrates materials design, in situ spectroscopy, and reaction engineering. Key areas include biomass upgrading, C1 chemistry, and nanotechnology-driven cancer therapies. Education: PhD from Cardiff Catalysis Institute under Prof. Graham J. Hutchings. Postdoctoral work at ETH Zürich and Stanford University. Affiliations: Hammond Lab, Institute for Molecular Science and Engineering. Funding: Royal Society, Leverhulme Trust, RSC, EPSRC, and industry partners. Research Interests: Catalysis: Development of heterogeneous catalysts for biomass conversion, CO 2 methanation, and C1 chemistry. Innovations in catalyst stability and process intensification. Bio-medical Engineering: Nanoparticle-based targeted cancer therapies, leveraging expertise in nanotechnology. Publications: Over 50 peer-reviewed articles, with notable work on Sn-Beta catalysts, methane oxidation, and photocatalytic fluorination. Recent trends emphasize sustainable catalytic processes and biomedical applications. Awards: Harrison-Meldola Memorial Award, Royal Society University Research Fellowship. Lab Team: 1 PI, 2 PDRA, 7 PhD students, and undergraduate researchers. Labs/Teams: Hammond Lab at Imperial's South Kensington Campus, collaborating with multidisciplinary groups like the Institute for Molecular Science and Engineering.

• Biosensors
• Microfluidics
• Microfabrication
• +۸ مورد دیگر

Renny Edwin Fernandez is an Associate Professor in the Department of Engineering at Norfolk State University's College of Science, Engineering and Technology. His multidisciplinary research focuses on microsensing platforms for healthcare, pollution control, and agriculture applications. Education: PhD in Electrical Engineering (2010) from Indian Institute of Technology Madras His research integrates microfabrication, microfluidics, and machine learning to develop wearable biosensors, disposable electrodes, and IoT-enabled soil monitoring systems. Key trends in his recent publications include: Real-time health monitoring via flexible nanosensors Machine learning integration in agricultural IoT Plasma-aided printing of conductive nanomaterials Smart PPE systems with NFC technology Scientific Awards: Research Initiation Award (2020) for cognitive monitoring systems in extreme environments Dr. Fernandez mentors graduate and undergraduate researchers at NSU, with prior teaching experience at University of Indianapolis and Florida International University. He holds a patent for biosensor technology and has developed innovative solutions for: Salivary cortisol detection Soil nutrient analysis Cell viability assessment Smart irrigation systems

Shahram Rahimiمشاهده پروفایل

استاد

• Computational Intelligence
• Machine Learning
• Artificial Intelligence
• +۱۰ مورد دیگر

Shahram Rahimi is a Professor and Department Head in the Department of Computer Science at the University of Alabama, College of Engineering. He concurrently holds an Adjunct Professor position at Mississippi State University. His research spans computational intelligence, machine learning, healthcare AI, cybersecurity, and quantum computing. He leads the PATENT Lab, focusing on predictive analytics, decision support systems, and AI-driven healthcare solutions. His educational background includes a Ph.D. in Computer Science. Key research areas include multi-agent systems, generative models, and predictive maintenance. He has served as an editor for journals like Scalable Computing: Practice and Experience and Informatica . Rahimi’s recent work emphasizes secure MLOps, quantum algorithms, and patient-centric medical systems. His publications address challenges in explainable AI, anomaly detection, and healthcare informatics. He actively contributes to conferences and journals in AI, cybersecurity, and computational intelligence. Editorial Roles: Scalable Computing, Engineering Letters, Informatica Labs: Predictive Analytics & Technology Integration (PATENT) Lab Key Focus Areas: Healthcare AI, Quantum Computing, Cybersecurity, Explainable Machine Learning

Jochen Guckمشاهده پروفایل

استاد

• Biophysics
• Cell Biology
• Medical Diagnostics
• +۳ مورد دیگر

Prof. Jochen Guck is a Director at the Max Planck Institute for the Science of Light and holds the Chair of Biological Optomechanics at Friedrich-Alexander Universität Erlangen-Nürnberg. His research focuses on the physical properties of cells and tissues, combining photonics and biophysical tools to bridge gaps between cellular mechanics and medical applications. Education: PhD in Physics from the University of Texas at Austin (2001), followed by roles at Leipzig University, Cambridge University, and TU Dresden before his current positions. He leads the Biological Optomechanics Division, developing techniques like Deformability Cytometry (DC), Optical Diffraction Tomography (ODT), and Brillouin Microscopy to study cell mechanics and density distributions. Research emphasizes translating physical measurements into clinical diagnostics (e.g., cancer, spinal cord regeneration) and has produced over 145 publications and 6 patents. Awards include the Cozzarelli Award (2008), Paterson Medal (2011), and Humboldt Professorship (2012). Collaborations span medical and engineering fields, with projects like the Max-Planck-Zentrum für Physik und Medizin. His lab investigates cell density heterogeneity, spinal cord regeneration in zebrafish, and biomechanical markers for diseases like Covid-19 and depression. Key methods include ODT for 3D mass density mapping and RT-DC for high-throughput cell analysis.

Steven V. Leyمشاهده پروفایل

استاد

• Organic Chemistry
• Flow Chemistry
• Green Chemistry
• +۴ مورد دیگر

Professor Steven V. Ley leads the Yusuf Hamied Department of Chemistry at the University of Cambridge, focusing on transformative research in flow chemistry, organic synthesis, and green chemistry. His work emphasizes sustainable methodologies and the integration of advanced technologies like microcontrollers and automation to revolutionize chemical processes. In 2018, he received the prestigious Arthur C. Cope Award—the first UK-based recipient—recognizing groundbreaking contributions to organic chemistry. Research interests include developing continuous flow systems for hazardous reaction management, immobilized reagents, and machine-assisted synthesis. Collaborations span academia and industry, notably through spin-off company New Path Molecular , which applies cutting-edge synthesis techniques to pharmaceuticals and agrochemicals. Key publications highlight innovations in flow chemistry applications, sustainable process design, and automation. His work bridges chemistry with engineering, aiming to address global challenges in resource efficiency and environmental impact. Awards: Arthur C. Cope Award (2018) Lab/Teams: Active research group at the University of Cambridge; collaborates with New Path Molecular on commercial applications.

Lief Fennoمشاهده پروفایل

استادیار

• Molecular Biology
• Genetics & Genomics
• Electrophys
• +۶ مورد دیگر

Lief Fenno, MD, PhD, is an Assistant Professor at The University of Texas at Austin, affiliated with Dell Medical School’s Department of Psychiatry and Behavioral Sciences and the College of Natural Sciences’ Department of Neurology. He is a board-certified psychiatrist specializing in addiction medicine, particularly medication-assisted treatment (MAT) for opioid use disorder. His research focuses on molecular and viral tools to study neuron circuitry and behavior, with applications in precision medicine for neurological and psychiatric conditions. Fenno earned his MD and PhD from Stanford University and a BA in neurobiology from Harvard University. His research integrates neuroscience, bioengineering, and clinical medicine to develop novel tools for understanding neural circuits. Key interests include optogenetics, chemogenetics, and optical imaging of neuronal activity in awake subjects. The Fenno Lab explores mechanisms of neurological diseases, particularly addiction, and aims to translate findings into clinical treatments. Recent work emphasizes brain-wide mapping of neural circuits, including studies on glutamate neuron subtypes and VTA-lateral habenula interactions. His lab also develops sono-optogenetic technologies and nanotransducers for deep brain stimulation. Fenno’s educational background includes residency in psychiatry and a bioengineering fellowship at Stanford, underscoring his interdisciplinary approach to neuroscientific challenges.

Jeffrey T. Glassمشاهده پروفایل

استاد

• Electronic Materials
• Nanotechnology
• Energy Conversion and Storage
• +۵ مورد دیگر

Jeffrey T. Glass is a Professor of Electrical and Computer Engineering and Hogg Family Director of Engineering Management & Entrepreneurship at Duke University's Pratt School of Engineering. He holds the Hogg Family endowed chair in Engineering Management and Entrepreneurship. Previously, he served as Co-Director of The Institute for the Integration of Management and Engineering at Case Western Reserve University and held roles at Kobe Steel USA Inc. and North Carolina State University. Education: Bachelor of Science in Engineering (B.S.E.), Johns Hopkins University, 1981 Master of Science in Engineering (M.Sc.Eng.), Johns Hopkins University, 1983 Ph.D. in Materials Science and Engineering, University of Virginia, 1986 M.B.A., Duke University's Fuqua School of Business (Global Executive Program), 1999 Research Interests: His work focuses on electronic materials, miniature mass spectrometry, energy conversion/storage, and waste treatment systems. Key projects include developing nanomaterials (e.g., carbon nanotubes, graphene), advanced sensors, and applications like smart toilets and photoelectrochemical energy devices. His lab, the J.T. Glass Nanomaterials and Thin Films Lab, explores carbon nanostructures for supercapacitors, field emitters, and neural stimulation electrodes. Awards: Stansell Family Distinguished Research Award (2015) Highly Cited Researcher (2001) National Science Foundation Presidential Young Investigator Award Maurice Holland Award (2004) Grants & Advising: Glass has secured over $97M in research funding, advising numerous students and leading interdisciplinary initiatives. He consults for materials-related companies and serves on technical advisory boards. His innovation management work bridges business and technology, with courses like EGRMGMT 572. Labs & Teams: Leads the Nanomaterials and Thin Films Lab, collaborating on coded aperture mass spectrometers, supercapacitors, and waste disinfection systems. Teams include engineers, materials scientists, and industry partners.

Trym Vegard Haavardsholmمشاهده پروفایل

مدرس

• Computer Vision
• Machine Learning
• Robotics
• +۳ مورد دیگر

Trym Vegard Haavardsholm is a 20% part-time Lecturer at the University of Oslo (UiO) within the Section for Autonomous Systems and Sensor Technologies. He also serves as Principal Scientist at the Norwegian Defence Research Establishment (FFI) and is a PhD candidate at the Department of Engineering Cybernetics, NTNU. His research focuses on computer vision, machine learning, robotics, and image analysis, with a particular emphasis on multispectral imaging systems and unmanned aerial vehicles (UAVs). Haavardsholm has contributed to advancements in sensor technologies for tactical reconnaissance, autonomous navigation, and real-time data processing. His work spans applications in defense, environmental monitoring, and emergency response systems. Research Interests Haavardsholm’s research integrates interdisciplinary approaches to develop innovative sensor systems and algorithms. Key areas include compact multispectral imaging for small UAVs, in-operation camera calibration, and anomaly detection in hyperspectral data. His contributions emphasize practical applications such as urban feature classification, collaborative indoor navigation, and bioaerosol detection. His work bridges theoretical computer science with applied engineering, addressing challenges in autonomous systems and sensor fusion. Publications His publications highlight trends in multispectral sensor design, UAV imaging, and real-time georeferencing. Recent work includes compact sensor systems for tactical use and advancements in pushbroom image rectification. Earlier research explored band selection algorithms for target detection and GPU-accelerated anomaly detection. Professional Roles As a lecturer, Haavardsholm contributes to academic supervision and teaching in autonomous systems. His dual role at FFI and UiO reflects his commitment to translating academic research into practical defense and civilian applications. His PhD candidacy at NTNU underscores his ongoing academic engagement in engineering cybernetics.

Shu Huمشاهده پروفایل

استادیار

• Solar Energy Conversion
• Photocatalysis
• Environmental Engineering
• +۳ مورد دیگر

Shu Hu is an Assistant Professor in the Department of Chemical & Environmental Engineering at Yale University, affiliated with the Energy Sciences Institute. He holds a PhD from Stanford University and a B.S. from Tsinghua University. His research focuses on solar energy conversion, photocatalytic devices, and sustainable chemical synthesis using CO₂ and water. The Hu Lab develops photocatalysts and reactor designs for producing H₂, CO, and small molecular-weight chemicals from renewable sources. Key areas include semiconductor photoelectrochemistry, functional coatings, and cascade catalysis under molecular flux. Notable achievements include an ACS ENFL Emerging Researcher Award (2024), a DOE Early Career Award (2021), and the Scialog Fellow designation (2020). The lab has published 86 peer-reviewed papers, graduated 5 PhD students, and employs 14 researchers. Funding comes from prestigious grants supporting energy-efficient AI hardware and scalable PEC systems. Research interests span semiconductor-electrochemistry interfaces, non-equilibrium catalysis, and multi-scale modeling. The lab’s work integrates photocatalyst discovery, device engineering, and practical reactor design to advance clean energy technologies.

Marco Barlaمشاهده پروفایل

استاد

• Geotechnical Engineering
• Geothermal Energy
• Energy Geostructures
• +۱۲ مورد دیگر

Marco Barla is a Full Professor of Geotechnical Engineering at the Department of Structural, Building and Geotechnical Engineering (DISEG) at the Polytechnic of Turin, where he also leads a research group focused on energy geostructures, tunneling, slope stability, and numerical modeling. He serves as Editor-in-Chief of the ASCE International Journal of Geomechanics and holds leadership roles in international organizations such as the International Society for Energy Geostructures (President, 2025–2029) and ELGIP (Past President). He is actively involved in multiple EU and national research projects, including GEOREFIT, REGENERATE, and FOLIAGE. Research Interests: Thermoactive geostructures for shallow geothermal energy Tunnel design and construction under challenging conditions Real-time detection of debris flows and snow avalanches using fiber optics Numerical modeling of geotechnical systems Energy retrofitting of existing underground infrastructure His recent publications (2024–2025) demonstrate a strong focus on sustainable urban development through geothermal energy integration, particularly in tunnels and buildings. Key themes include energy geostructures, thermal storage, landslide monitoring, and climate resilience, reflecting his commitment to SDGs 7, 9, 11, and 13. He frequently publishes in top venues such as Tunnelling and Underground Space Technology , Geothermics , and Landslides . Scientific Awards: Telford Premium, Institution of Civil Engineers (2016) IACMAG Excellent Contributions Award (2011) Best Paper, 11th ISRM Congress (2007) Iacmag Award (2005) Top 5 Project Nominee, European Geothermal Innovation Award (2018) Advising and Grants: He supervises multiple PhD students in civil and environmental engineering and has led over 70 research projects, securing more than 2 M€ in funding from national and international sources. His projects span fundamental research (e.g., PRIN, H2020) and applied consulting (e.g., tunnel safety, landslide risk, structural monitoring). He is the scientific responsible for numerous contracts with public and private entities, including Autostrade per l’Italia and regional governments. Labs and Teams: He leads the Rock Mechanics and Rock Engineering research group at Politecnico di Torino ( www.rockmech.polito.it ), which conducts laboratory testing, field monitoring, and numerical simulations. The team is active in international collaborations and coordinates the COST Action FOLIAGE, dedicated to scaling up energy geostructure deployment.

• Electron Microscopy
• Materials Science
• Nanotechnology
• +۳ مورد دیگر

Martin Saunders is an Associate Professor and leader of the Physical Science Electron Microscopy Platform at the University of Western Australia's Centre for Microscopy, Characterisation & Analysis (CMCA). He holds leadership roles in national microscopy consortia, including Microscopy Australia and the National Imaging Facility. His academic career spans over 20 years, with roles as Deputy Director and Acting Director of CMCA, and President of the Australian Microscopy and Microanalysis Society (AMMS). Saunders earned a PhD in Physics from the University of Bath (UK) and postdoctoral experience at institutions including the University of Bristol and the US Naval Postgraduate School. His research focuses on advanced electron microscopy techniques, including TEM, STEM, EELS, and tomography, applied across physical, biological, and geo sciences. Education: PhD in Physics (University of Bath, 1994), BSc in Applied Physics (University of Bath, 1990). Research interests include structural and chemical analysis of nanomaterials, biominerals, and geological samples. He collaborates globally, contributing to high-impact journals like Nature and Advanced Materials . Saunders has secured over $25M in grants from ARC, NHMRC, and NCRIS, funding cutting-edge microscopy infrastructure. Awards: Inaugural AMMS Fellow (2025), Life Membership (AMMS), Fellow of the UK Institute of Physics (2012). Teaching: Coordinates materials characterization courses for biomedical engineering and nanotechnology programs. Provides training in electron microscopy for researchers and postgraduates. Labs/Infrastructure: Manages state-of-the-art facilities including FEI Titan G2 80-200 TEM/STEM and DualBeam FIB-SEM systems at CMCA.

Nikos Hardavellasمشاهده پروفایل

استاد

• Computer Architecture
• Quantum Computing Systems
• Parallel Systems
• +۴ مورد دیگر

Nikos Hardavellas is a Professor of Computer Science and Electrical and Computer Engineering at Northwestern University, affiliated with the McCormick School of Engineering. He leads the Parallel Architecture Group at Northwestern (PARAG@N), focusing on energy-efficient parallel computing and quantum systems. His research spans quantum computing systems, fault-tolerant quantum error management, memory-centric architectures, and photonics-based interconnects. Education: Ph.D. Computer Science, Carnegie Mellon University (2009) M.S. Computer Science, Carnegie Mellon University (2006) M.S. Computer Science, University of Rochester (1997) B.S. Computer Science, University of Crete (1995) Research Interests: Quantum system software stack and error mitigation Memory-centric computing and programmable memory systems Energy-efficient architectures and dark silicon Photonics and optical interconnects Parallel systems and compiler-hardware co-design Key Contributions: Developed SupermarQ, a scalable quantum benchmark suite Pioneered optical cache hierarchies (Pho$) and energy-proportional photonic networks Advanced compiler-driven virtual memory systems (CARAT) and MPI autotuning (ACCLAiM) Awards & Honors: NSF CAREER Award (2015) Future CRA Leader (2024) Best Paper Awards at HPCA (2022) and ISLPED (2021 nomination) Test-of-Time Award at EDBT (2019) Grants & Service: Secured $4.8M in research funding from NSF, industry partners, and university initiatives Executive Committee member of Northwestern’s INQUIRE Institute for Quantum Research General Co-chair of IEEE/ACM MICRO 2022 Extensive service on departmental committees and thesis advisory boards Labs & Teams: Directs PARAG@N, collaborating on quantum computing, photonics, and energy-efficient architectures. Engages with industry partners like AMD, Intel, and Synopsys.

• 5G/6G Antennas
• Integrated Sensing and Communications (ISAC)
• In-Band Full-Duplex Wireless Systems
• +۳ مورد دیگر

Prof. Jay Guo is a Distinguished Professor and Founding Director of the Global Big Data Technologies Centre at the University of Technology Sydney (UTS). He also leads the New South Wales Connectivity Innovation Network (CIN) and the TPG-UTS Network Sensing Lab. With over 700 publications, 350+ IEEE journal papers, and 27 patents, his work focuses on 5G/6G antennas, integrated sensing and communications (ISAC), and environmental sensing using 5G/6G networks. Research Interests: 5G/6G Antenna Systems (reconfigurable arrays, multibeam antennas) In-Band Full-Duplex Wireless Systems Integrated Sensing and Communications (ISAC) Environmental Sensing via Network Infrastructure Awards & Recognition: IEEE Schelkunoff Prize Paper Award (2023) Fellowships: IEEE, Australian Academy of Engineering, Royal Society of NSW Australia Engineering Excellence Award (2007) Australia's Top Researcher in Electromagnetics (2020-2023) Highly Ranked Scholar (top 0.05% globally) Grants & Projects: NSW Government-funded environmental sensing projects Industry collaborations with TPG Telecom, Telstra, and CSIRO Leadership in global antenna conferences (e.g., IEEE APS, ISAP) Labs & Initiatives: Global Big Data Technologies Centre TPG-UTS Network Sensing Lab NSW CIN (Connectivity Innovation Network)

• Signal Processing
• Wireless Communications
• Underwater Acoustic Communications
• +۷ مورد دیگر

Professor Yue Rong is a Full Professor at Curtin University's Department of Electrical and Computer Engineering, within the School of Electrical Engineering, Computing and Mathematical Sciences. He holds editorial roles at IEEE Transactions on Signal Processing and IEEE Wireless Communications Letters. His research focuses on signal processing for communications, underwater acoustic systems, wireless networks, and healthcare IoT. Rong has authored over 140 journal and conference papers and received multiple awards, including the 2010 Young Researcher of the Year Award. Education: B.E. (Electrical Engineering), Shanghai Jiao Tong University (1999) M.Sc. (Electrical Engineering), University of Duisburg-Essen (2002) Ph.D. (Electrical Engineering), Darmstadt University of Technology (2005) Research Interests: Rong's work spans cooperative MIMO communications, underwater acoustic systems, OFDM modulation, radar-based healthcare monitoring, and secure wireless protocols. His innovations include adaptive modulation schemes for underwater environments and radar-based vital signs detection. Recent trends in his publications emphasize AI-driven signal processing for healthcare IoT and underwater optical communication systems. Awards: Best Paper Awards (WCSP 2011, APCOMM 2010) Chinese Government Award (2004) DAAD/ABB Fellowship (2001-2002) Grants & Labs: His research is supported by grants focusing on UAV-enabled data collection and underwater network optimization. He leads projects in the Distributed Data Fusion and Emerging Technologies (DDFE) lab, advancing radar-cardiography and wearable health monitoring systems.

Ibrahim Tekinمشاهده پروفایل

استاد

• Antenna Design
• Wireless Communication Systems
• Propagation Modeling
• +۴ مورد دیگر

Dr. Ibrahim Tekin is a Professor at Sabanci University’s Electrical and Electronics Engineering Department. He holds a B.S. and M.S. from Middle East Technical University (1990-1992) and a Ph.D. from The Ohio State University (1997). His career spans research roles at Bell Laboratories (1997-2000) and academic teaching/research. His primary research interests include antenna design, smart antennas, propagation modeling, and geolocation algorithms. He teaches advanced courses like Electromagnetics II , Microwaves , and Antennas and Propagation for Wireless Communication , emphasizing practical applications in RF and microwave systems. Dr. Tekin’s work focuses on 5G mm-wave antenna arrays, full-duplex systems, and MEMS-based RF components. His recent research explores beamforming networks, low-actuation-voltage MEMS switches, and compact antenna designs for 5G applications. He has contributed to over 60 peer-reviewed publications, including journal articles in IEEE Transactions on Antennas and Propagation and Microwave and Optical Technology Letters . His research also addresses indoor positioning systems using GPS signals and RFIC integration challenges. Key technical contributions include innovative antenna array configurations, low-loss RF MEMS switches, and advanced full-duplex architectures. His work bridges theoretical electromagnetics with practical implementations in next-generation wireless communication systems.