جست‌وجوی استاد و پژوهشگر

Michael Giacomelliمشاهده پروفایل

استاد

• Multiphoton Microscopy
• Surgical Imaging
• Fluorescence Imaging
• +۳ مورد دیگر

Michael Giacomelli is a Professor specializing in biomedical imaging technologies. He previously worked as a research scientist at MIT's Research Lab of Electronics, collaborating with Beth Israel Deaconess Medical Center and the VA Medical Center in Boston. His research focuses on multiphoton and fluorescence imaging for clinical and surgical applications, emphasizing real-time pathology assessment. He holds a PhD in Biomedical Engineering from Duke University and dual B.S. degrees in Computer Engineering and Computer Science from the University of Arizona. Research interests include multiphoton microscopy, high-throughput imaging systems, and medical imaging instrumentation. The Giacomelli Lab designs custom microscopes and algorithms for clinical use, prioritizing usability by non-engineers. Recent work emphasizes silicon photomultiplier arrays and piston-based specimen holders to improve imaging speed and accuracy in surgical settings. Key advancements include real-time margin assessment during Mohs surgery and rapid biopsy analysis. His innovations bridge engineering and medicine, with applications in oncology, dermatology, and gastroenterology. The lab collaborates extensively with clinical partners to translate technologies into usable diagnostic tools. Publications from 2024-2025 highlight improvements in imaging speed, spectral throughput, and clinical validation of imaging systems. Current work focuses on low-cost solutions for tissue processing and enhancing detector sensitivity for wide-scale clinical adoption.

• Novel sensor development
• Reliability engineering
• Software design
• +۶ مورد دیگر

Fuqing Yuan is an Associate Professor at the Department of Technology and Security, UiT The Arctic University of Norway. With a research focus on novel sensor development and reliability engineering , his work spans applications in machine learning , IoT , and environmental risk assessment . Research Interests : Sensor design, machine learning for environmental monitoring, reliability modeling, railway engineering, Arctic climate challenges Teaching : TEK3002 - Reliability Engineering Affiliation : Sustainable Technology and Safety (STS) research group Publications reveal expertise in statistical reliability analysis (Weibull distributions, censored data), environmental machine learning (leaching of contaminants, Arctic road safety), and infrastructure monitoring (railway systems, wind power forecasting). Key journals include IEEE Transactions , Scientific Reports , and International Journal of COMADEM . Projects include the Norwegian Ice-Proof initiative for novel ice sensor development. His technical work integrates signal processing , support vector machines , and proportional hazard models for industrial and Arctic applications.

• Computational fluid dynamics
• Multiphase flow
• Aerodynamics
• +۱ مورد دیگر

Knut Erik Teigen Giljarhus is an Associate Professor at the University of Stavanger's Faculty of Science and Technology within the Department of Mechanical and Structural Engineering and Materials Science. Appointed to a full-time faculty position in 2018 after transitioning from industry roles, he currently serves as Study Program Leader for Mechanical Engineering programs since 2020. Education: PhD from the Norwegian University of Science and Technology (NTNU) Research Interests: His primary expertise lies in Computational Fluid Dynamics (CFD) , with significant contributions to multiphase flow systems (oil/water separation, annular displacements), urban aerodynamics (pedestrian wind comfort, building interactions), and biomedical fluid applications (blood pumps, vascular flow). He employs advanced numerical methods including lattice Boltzmann modeling, large eddy simulations, and machine learning integration for rapid wind prediction. Publication Trends: Analysis of his 2024-2025 output reveals strategic expansion into ML-enhanced CFD for urban wind assessment while maintaining core multiphase flow research. Key themes include non-Newtonian fluid behavior in medical contexts, density-unstable displacement mechanisms, and aerodynamic optimization for sports engineering—all published in high-impact journals like Physics of Fluids and Building and Environment . Scientific Awards: No awards or fellowships were documented in the provided materials Advising and Grants: Formal advisees are not listed in the source material No research grants or funding sources are explicitly mentioned Labs and Teams: As Study Program Leader, he directs mechanical engineering curriculum development at the University of Stavanger. His research leverages the Department's computational facilities and collaborates with SINTEF Energy Research (evidenced in publications) alongside international partners in biomedical engineering and urban wind studies.

• Machine Learning
• Maritime Engineering
• Robotics
• +۴ مورد دیگر

Shengkai Zhang is an active researcher with 26 publications and 444 citations spanning engineering, computer science, and environmental disciplines. His work demonstrates strong interdisciplinary collaboration through co-authorship with researchers like Kezhong Liu and Mozi Chen across multiple high-impact venues including IEEE conferences, arXiv, and specialized journals. His research interests center on Machine Learning applications in maritime systems , with significant contributions to Large Language Model integration for ship navigation, wireless sensing for bridge officer monitoring, and sensor fusion techniques. Additional expertise spans robotics perception (visual-inertial systems, mmWave radar enhancement), environmental modeling (urban energy systems, climate studies), and biomedical applications of traditional medicine. Recent work shows increasing focus on AI foundation models and their security implications. Zhang's publication trajectory reveals consistent output with accelerating impact since 2023, featuring 15+ papers in 2024 alone. His research clusters around three core themes: Maritime AI Systems (LLM navigation, track association, watchkeeping monitoring) Advanced Sensing Technologies (mmWave radar, Wi-Fi sensing, GNSS fusion) Environmental & Biomedical Applications (urban energy modeling, gut microbiome studies) These areas demonstrate both technical depth in signal processing/computer vision and practical focus on real-world engineering challenges.

• Optoelectronics
• Laser Spectroscopy
• Photodetection Technology
• +۳ مورد دیگر

Dr. Janusz Mikołajczyk is a Lecturer at the Institute of Optoelectronics, Warsaw University of Technology. His research focuses on optoelectronic systems, photodetectors, and laser-based sensing technologies. He specializes in infrared communication systems, gas detection using quantum cascade lasers, and advanced noise measurement techniques for photodetectors. His work spans applications in free-space optics, environmental monitoring, and military communication systems. With 155 publications and 7 research projects, he has contributed significantly to fields like cavity-enhanced spectroscopy, optoelectronic sensor development, and high-speed data transmission. His h-index of 20 (WoS) reflects his impactful research in optoelectronics and materials science. Key areas of exploration include THz radiation detectors, ultraviolet photodetectors, and hybrid communication systems combining optical and radio technologies. He has designed innovative detection modules and noise analysis systems, enhancing the reliability of optoelectronic devices in harsh environments.

Kamal Youcef-Toumiمشاهده پروفایل

استاد

• Dynamic Systems and Controls
• Robotics
• Manufacturing Automation
• +۴ مورد دیگر

Kamal Youcef-Toumi is a Professor of Mechanical Engineering at MIT. His research focuses on dynamic systems, robotics, manufacturing automation, and high-speed atomic force microscopy (AFM). He leads the Mechatronics Research Laboratory (MRL), which develops advanced instrumentation and control systems for applications in nanotechnology, biomedical engineering, and energy systems. He has pioneered innovations like the world's largest-range high-speed AFM and in-pipe robotic leak detection systems. Education: B.Sc. (University of Cincinnati), M.Sc. and Ph.D. (MIT) Affiliations: Director of Global MIT At-Risk Fellows Palestine, Co-Director of the Center for Complex Engineering Systems, and Director of the Ibn Khaldun Fellowship for Saudi Arabian Women. Research Interests Dr. Youcef-Toumi's work spans: High-speed AFM for real-time nanoscale imaging Robotics for pipeline inspection and rehabilitation Energy-water nexus and smart grid systems Biomedical applications of AFM in cartilage rheology studies Soft robotics and tactile sensing His lab's inventions include patented leak detection robots and adaptive nanopositioning systems. Recognition He has received the National Instruments Engineering Impact Award (2014) and NSF's Presidential Young Investigator Award (1987). Over 30 patents highlight his contributions to mechatronics and nanotechnology. Teaching Teaches core courses like Introduction to Robotics (2.12) and Analysis and Design of Feedback Control Systems (2.14) . His educational innovations include AFM curriculum development for engineering students. Labs & Teams Leads the Mechatronics Research Lab, collaborating with industry partners on projects like technorganic printing and autonomous underwater vehicles inspired by fish locomotion.

• High-Energy Physics Detectors
• Digital System Design (FPGAs)
• Sensor Systems and Networks
• +۳ مورد دیگر

Roles & Affiliations: Kyriakis-Bitzaros Efstathios is a Lecturer in the Department of Electrical and Electronic Engineering at the University of West Attica, part of the School of Engineering. He is affiliated with the Electronics and Computer Technologies Laboratory (ECTLab) and teaches courses like Digital System Design and Operating Systems. His office is located at ZB206, Building Z, Ancient Eleonas Campus. Holds a PhD in Electrical Engineering and a Physics degree from the University of Patras (1994 and 1987, respectively). Research Interests: Focuses on high-energy physics detector electronics, FPGA-based digital systems, sensor array interfaces, energy harvesting for microcontrollers, and optoelectronic interconnects. His work includes contributions to the ATLAS experiment at CERN, including the New Small Wheel detector and MicroMegas electronics. Publications Overview: Over 30 publications spanning topics like high-luminosity LHC upgrades, reconfigurable embedded systems, and optoelectronic simulations. Recent work includes advancements in detector electronics for CERN experiments and energy-efficient sensor networks. Labs & Teams: Leads the ECTLab, focusing on electronics and computer technologies. Collaborates on projects like the ATLAS detector upgrades and smart sensor systems.

• Power Electronics
• Electric Vehicles
• Renewable Energy Systems
• +۳ مورد دیگر

Euzeli Dos Santos is an Associate Professor in the Elmore Family School of Electrical and Computer Engineering at Purdue University, Indianapolis. His expertise spans power electronics, electric vehicle technologies, and advanced energy systems. He holds a courtesy appointment in the same department and leads research initiatives focused on capacitorless resonant converters, high-torque electric machines, and nanotechnology-enhanced power devices. Research interests include optimizing power converter topologies, developing efficient wireless charging solutions for electric vehicles, and integrating graphene-based materials into semiconductor devices. His work emphasizes practical applications in renewable energy systems, microgrids, and grid stability. Dos Santos has contributed extensively to multilevel converter design, control strategies for power electronics, and transformerless power supply architectures. Publications highlight innovations in capacitorless DC-DC converters, HIL simulation frameworks for distributed energy resources, and thermal optimization of IGBTs using nanomaterials. His research bridges theoretical advancements with real-world challenges in energy conversion and transportation electrification.

Ali Mohammadiمشاهده پروفایل

مدرس ارشد

• Microelectromechanical Systems (MEMS)
• Nanoelectromechanical Systems (NEMS)
• Electronic Interface Circuits
• +۶ مورد دیگر

Dr. Ali Mohammadi is a Senior Lecturer in the Department of Electronic & Electrical Engineering within the Faculty of Engineering & Design at the University of Bath. He leads innovative research in Micro-electromechanical Systems (MEMS) and serves as an Associate Editor for IEEE Sensors. His work is supported by multiple EPSRC-funded research projects with strong industry collaboration, totaling over £1.5 million across five projects. Dr. Mohammadi is embedded within several key research units: Electronics Materials, Circuits & Systems Research Unit (EMaCS), The Foundry: Centre for Digital, Manufacturing & Design, Centre for Bioengineering & Biomedical Technologies (CBio), and the Bath Institute for the Augmented Human. Dr. Mohammadi's academic background includes postdoctoral research at the Department of Engineering Science, University of Oxford (2016-2017) and the Department of Electrical and Computer Systems Engineering, Monash University, Australia (2014-2016). This foundation has enabled his interdisciplinary approach to micro/nano-electromechanical systems and electronic circuit design. His research program addresses fundamental challenges in micro/nano-electromechanical transducers and electronic interface circuits, with specific innovations in on-chip atomic force microscopy, implantable energy harvesters, and high precision coupled resonator sensors. These contributions span multiple UN Sustainable Development Goals, particularly advancing clean energy technologies and healthcare solutions. Dr. Mohammadi's work uniquely bridges electrical engineering, mechanical systems, and materials science to develop next-generation sensing and energy harvesting technologies with real-world applications. Analysis of his 48 research outputs reveals a clear trajectory from fundamental MEMS device development toward integrated sensor systems with practical applications. His most recent publications (2023-2025) demonstrate increasing integration of machine learning with precision sensing technologies, particularly for manufacturing condition monitoring and biomedical applications. The research shows progression from individual components to complete systems, with growing emphasis on real-time data processing at the sensor edge and human-machine interfaces. Dr. Mohammadi's professional standing includes: Member of the Institute of Electrical and Electronics Engineers (IEEE) Associate Editor of IEEE Sensors Journal As a doctoral supervisor, Dr. Mohammadi actively mentors students in Microelectromechanical Systems and Electronic Integrated Circuits. His research portfolio includes two active EPSRC projects: 'Transforming the use of Ansys simulation software within engineering curricula' and 'SENSYCUT- Sensor Enabled Systems for Precision Cutting,' demonstrating strong industry-academic collaboration. These projects focus on practical engineering solutions for manufacturing optimization, condition monitoring, and human-computer interaction, with direct applications in industrial settings. Dr. Mohammadi's research ecosystem spans multiple interdisciplinary centers at Bath. Within EMaCS, he advances fundamental electronic materials and circuit design. Through The Foundry, he contributes to digital manufacturing innovation. His CBio affiliation enables medical applications of his sensor technologies, while the Bath Institute for the Augmented Human provides context for human-centered applications of his tactile display research. This multi-faceted institutional integration allows his work to progress from laboratory prototypes to real-world implementations across healthcare, manufacturing, and human augmentation domains.

Torsten Lehmannمشاهده پروفایل

دانشیار

• Solid-state circuits and systems
• CMOS circuits at cryogenic temperature
• Ultra low-power CMOS design
• +۶ مورد دیگر

Associate Professor Torsten Lehmann is a faculty member in the School of Electrical Engineering and Telecommunications at the University of New South Wales (UNSW). He holds the position of Associate Professor in Microelectronics and maintains an active research program focused on advanced circuit design for biomedical applications and cryogenic systems. His work spans multiple disciplines at the intersection of electronics engineering, biomedical technology, and quantum computing interfaces. Dr. Lehmann's research interests encompass several cutting-edge areas of microelectronics: Solid-state circuits and systems CMOS circuits at cryogenic temperature Ultra low-power CMOS design Bio-medical microelectronics Cochlear implants and vision prostheses High-performance analogue circuits in deep sub-micron CMOS His recent publication record demonstrates a strong focus on neural interfaces and optrode technology, with significant contributions to the development of optical neural stimulation and recording systems. Over the past five years, his research has increasingly concentrated on optrode arrays, biopotential sensing, and charge-balanced stimulation techniques for neural applications. His work bridges the gap between traditional electronic circuit design and emerging biomedical applications, particularly in vision and hearing prostheses. A consistent theme throughout his publications is the development of specialized circuits for challenging environments, whether ultra-low temperatures for quantum computing or implantable medical devices requiring extreme power efficiency. Dr. Lehmann has made significant contributions to the field of microelectronics for biomedical applications, particularly in the development of circuits for vision prostheses and neural stimulation systems. His work on cryogenic circuits for quantum computing interfaces represents an important bridge between traditional electronics engineering and emerging quantum technologies. His research group appears to be actively involved in several collaborative projects related to neural engineering and biomedical implants, working with colleagues across UNSW and with clinical partners. The lab likely focuses on the design and testing of specialized integrated circuits for challenging applications where conventional electronics face significant limitations.

Bogdan M. Wilamowskiمشاهده پروفایل

استاد

• Semiconductor Devices and Sensors
• Mixed Signal and Analog Signal Processing
• Computational Intelligence
• +۷ مورد دیگر

Bogdan M. Wilamowski is a Professor and Director of the Alabama Nano/Micro Science and Technology Center (ANMSTC) at Auburn University's College of Engineering, Department of Electrical and Computer Engineering. He holds the Alumna Professor title and leads cutting-edge research in microelectronics and intelligent systems. MS in Computer Engineering, 1966 PhD in Neural Computing, 1970 Dr. Habil. in Integrated Circuit Design, 1977 Full Professor title awarded by the President of Poland, 1987 His research spans semiconductor devices and sensors, analog and mixed-signal processing, and computational intelligence. He has pioneered work in neural networks, intelligent control, and microelectronic fabrication, with applications in industrial electronics and embedded systems. His academic leadership includes editorial roles in top IEEE journals and co-editing the CRC Book Series in Industrial Electronics. The recent publications highlight a sustained focus on analog signal processing, neural networks, microelectronic fabrication, and computational intelligence. These works reflect a strong integration of theoretical development with practical engineering applications, particularly in circuit design, sensor systems, and intelligent automation. The trend shows continued innovation in both analog electronics and AI-driven microsystems. IEEE Fellow Honorary Member of the Hungarian Academy of Sciences Commander Cross of the Order of Merit of the Republic of Poland (2008) Dr. Wilamowski has advised approximately 150 graduate students and has authored 9 books and over 300 refereed publications. He has held editorial leadership as Editor-in-Chief of IEEE Transactions on Industrial Electronics (2008–2010) and IEEE Transactions on Industrial Informatics (2011–2013). His research has been supported by extensive collaborations and institutional leadership, including directing research centers at Auburn and Idaho. He has also led major professional initiatives within IEEE, contributing significantly to the global engineering community. He leads the Alabama Nano/Micro Science and Technology Center (ANMSTC), a multidisciplinary research hub focused on advancing microelectronics, nanotechnology, and intelligent systems. The center fosters collaboration across academia and industry, supporting innovation in semiconductor devices, analog circuits, and computational intelligence applications.

Alison Lansleyمشاهده پروفایل

عضو هیئت علمی

• Pharmaceutics
• Biopharmaceutics
• Drug Delivery
• +۱۲ مورد دیگر

Dr Alison Lansley is a Principal Lecturer in Pharmaceutics at the School of Applied Sciences, University of Brighton. She holds a PhD from the same institution and has previously conducted research at UCLA and King’s College London. She is a Senior Fellow of the Higher Education Academy and a Fellow of the Academy of Pharmaceutical Sciences, actively contributing to the Biopharmaceutics (Nasal) Focus Group. Her academic role includes teaching biopharmaceutics and pharmaceutics at both undergraduate and postgraduate levels, including the MPharm program. Her educational background includes a Pharmacy degree and a PhD from the University of Brighton, focusing on preservatives and nasal mucociliary clearance. She furthered her research at UCLA on ciliary activity and calcium signaling, then at King’s College London on airway drug delivery. She returned to academia via a Daphne Jackson Fellowship at the University of Sussex. Alison's research centers on the biopharmaceutics of inhaled and nasal drug delivery, with a focus on in vitro models of airway epithelium , mucociliary clearance , and mucus barrier effects . She investigates drug absorption using cell lines like 16HBE14o-, SPOC1, and UNCN3T, and studies nanoparticle delivery, toxicology of surfactants and pollutants, and bioavailability in children. Her work bridges pharmaceutical science with environmental health, particularly in assessing the impact of air pollution and water treatment chemicals. The analysis of her recent publications reveals a strong trend in translational pharmaceutical research , combining advanced in vitro models with real-world applications such as vaccine stability and air pollution toxicity. Her work integrates high-speed imaging , cellular toxicity assays , and biopharmaceutical modeling to optimize drug delivery and assess safety. Fellow of the Academy of Pharmaceutical Sciences Senior Fellow of the Higher Education Academy Daphne Jackson Fellowship recipient University of Brighton Award for Excellence in Facilitating and Empowering Learning (2019) Alison has supervised 11 PhD students and 5 postdoctoral researchers , securing funding from research councils, charities, and industry. Her current projects include studies on ultrafine particles, water reuse, nasal powders, and mucus effects on drug delivery. She actively mentors students in areas such as drug permeability , toxicity screening , and nanoparticle uptake . She leads research within the Centre for Environment and Society and the Centre for Lifelong Health at the University of Brighton. Her team utilizes in vitro airway models like MucilAir™ and develops biomimetic systems to study drug absorption and environmental impacts. Collaborations span across toxicology, environmental science, and clinical translation.

• Semantic Web Technologies
• Distributed Systems
• E-Learning Systems
• +۳ مورد دیگر

Милорад Б. Тошић is a Full Professor at the Faculty of Electronic Engineering, University of Niš, specializing in Computer Science. He earned all his academic degrees (BSc 1989, MSc 1992, PhD 1998) from the same institution in Electrical Engineering and Computer Science. His research spans Semantic Web Technologies, Distributed Systems, and E-Learning Systems, with notable contributions in federated testbeds, trust-based peer assessment, and collaborative wiki tagging. His work bridges theoretical computer science with practical applications in education and embedded systems. His publication trends show consistent contributions from 1991 to 2014, with recent focus shifting from hardware design (1990s) to semantic technologies and e-learning systems (2000s-2010s), demonstrating adaptability across evolving technological domains. US Patent Application No. 09/636,552 for Internet-Enabled Embedded Device Technology validated by Motorola, Microchip, Philips, and Delphi As former Science and Technology Advisor to the Serbian Minister (2002-2003), he contributed to national science policy. His current research involves 4 national and 3 international projects totaling 7 impact-factor journal publications. His patented embedded device technology has achieved commercial validation through major global electronics firms.

• Electromagnetics
• Signal Integrity
• Interconnect Modeling
• +۴ مورد دیگر

Martijn Huynen is a tenure-track assistant professor and IMEC postdoctoral researcher at Ghent University's Faculty of Engineering and Architecture, Department of Information Technology (EA05). His work focuses on advanced electromagnetic modeling and signal integrity analysis for high-speed interconnect structures. Key projects: Stochastic modeling for electromagnetic interference (2014–2018), supervising Tim Pattyn (2023–2025) and Dries Bosman (2018–2023), and copromoting research on surface admittance operators. Research themes include electromagnetic scattering, interconnect modeling using Fokas-derived operators, and uncertainty quantification in high-speed circuits. Recent publications (2024–2017) span conferences like IEEE EDAPS and journals including IEEE Transactions on Microwave Theory. Topics emphasize mathematical formulations, 3D modeling, and mitigating signal integrity issues in mmWave and PAM-4 systems. He collaborates with researchers such as Dries Vande Ginste, Daniël De Zutter, and Hendrik Rogier, with funding from the Research Foundation - Flanders (FWO) and the Special Research Fund.

• Computer Engineering
• Embedded Systems
• Image Processing
• +۳ مورد دیگر

Kranitis Nektarios is a Lecturer at the Department of Informatics and Telecommunications, National and Kapodistrian University of Athens. His research focuses on FPGA-based hardware architectures, space-grade computing, and image compression standards like CCSDS, with applications in satellite systems and reliable data processing. Primary affiliation: National and Kapodistrian University of Athens Department: Informatics and Telecommunications Research interests center on space-grade SRAM FPGAs , LDPC encoding , hyperspectral image compression , and software-based self-test methodologies for embedded systems. His work addresses high-speed data processing and fault tolerance in satellite communications. Key trends in his publications include CCSDS standard implementations , hardware accelerators for image compression, resilience to SEUs , and energy-efficient testing techniques for microprocessors. Topics span space systems , parallel computing , and digital circuit design .