جست‌وجوی استاد و پژوهشگر

• Bio-instrumentation
• Biomedical Engineering
• Bio-sensor Interfacing
• +۱۱ مورد دیگر

Dr. Alex Yue is a Senior Lecturer in Bio-instrumentation at the Faculty of Engineering and Technology, University of the West of England (UWE) Bristol. He also serves as Head of Instrumentation at the Institute of Bio-Sensing Technology, leading research in passive bioimpedance sensing, zero-power human-computer interactions, and low-power micro/nanoelectronics for contactless biosensors and motion-insensitive electrodes in digital health. Education: BEng Telecommunication (1985) MEng Biomedical Engineering (1995) PhD Biomedical Engineering (1999) Dr. Yue’s research spans biomedical circuits and systems design, focusing on innovative solutions for wearable biosensors, implantable neural recordings, and medical imaging technologies. His work includes low-power mixed-signal integrated circuits (ICs) for blowfly neural recordings and non-contact vital sign monitoring in neonatal care. He has contributed to advancements in electrical impedance tomography, ultrasound diagnostics, and reduced-dosage X-ray screening. Funding and Projects: UKRI Smart Grant/Industrial funded project (2020-2022): Non-contact technology for vital sign monitoring in neonate and pediatric populations (Academic PI) Innovate UK POEM project (2022-2023): Pulse oximetry from eardrum (Academic Co-I) Innovate UK AKT project (2024): Academic PI Scientific Awards: Live Demos Prize at IEEE ISCAS Senior Member of IEEE Additional Expertise: Dr. Yue’s portfolio includes analog/digital sensor interface design, embedded systems (Microcontroller/FPGA), low-power CMOS IC design, and biomedical signal processing for auditory evoked responses, otoacoustic emissions, and electrooculography (EoG) in augmented reality. He also explores energy harvesting for IoT sensor nodes and noise reduction techniques in signal measurement.

• Genetics
• Genome organization and evolution
• Chromatin architecture and gene regulation
• +۴ مورد دیگر

Salvatore Saccone is a Full Professor of Genetics at the University of Catania, Italy, where he serves as Director of the Animal Biology section 'M. La Greca' and Director of both the Genetic Laboratory and Confocal Microscopy Laboratory. He holds leadership positions including President of the Biological Sciences degree course and President of the College of Italian University Biologists (CBUI). His academic career spans over three decades with previous appointments as Associate Professor at both University of Bologna and University of Catania. Graduate in Biological Sciences, University of Catania (1989) PhD in Genetic Sciences, University of Pavia (1993) Post-doctoral research at Institute J. Monod, Paris (1993-1994) Researcher of Genetics, University of Catania (1995-1998) Professor Saccone's research focuses on genome organization and evolution, chromatin architecture, and genetic diseases related to epigenetic modifications. His work particularly examines nuclear Tau protein involvement in aging and Alzheimer's disease, environmental mutagenesis, and forensic genetics. His laboratory conducts cutting-edge research on chromatin organization during cell differentiation and bio-molecular investigations of parasite genomes. His extensive publication record includes over 50 articles in the last five years with an h-index of 36 (26 for the last decade). His work appears prominently in journals such as International Journal of Molecular Sciences, Genomics, Gene, Chromosome Research, and PNAS USA, reflecting his interdisciplinary approach spanning molecular genetics, environmental health, and forensic applications. A. Marzullo Award from University of Trieste (1989) Degree Award from Consorzio Catania Ricerche (1990) ERASMUS and EMBO Fellowships (1992) PhD Award from Italian Association of Genetics (1994) President of State Exams Commission for Biologist qualification (2016, 2018, 2021, 2024) Member of ASN national committee for Genetics (2018-2021) Professor Saccone has supervised 12 PhD theses and over 80 master's theses, demonstrating significant commitment to academic mentorship. His research group includes Associated Professor Concetta Federico, Researcher Francesca Bruno, post-doctoral researchers Desiree Brancato and Valentina Sturiale, and PhD student Elvira Coniglio. His laboratory maintains active collaborations with institutions including University of Enna Kore and utilizes advanced techniques in confocal microscopy and genomic analysis. The Genetic Laboratory and Confocal Microscopy Laboratory under his direction focus on multiple research streams including genome organization in chromosomal bands, chromatin dynamics during differentiation, environmental mutagenesis assays, and forensic genetic identification methods. Current projects investigate Tau protein in Alzheimer's disease, HLXB9/MNX1 gene in cancer, and molecular identification of forensic entomology specimens.

Katy Connorمشاهده پروفایل

پژوهشگر

• Artistic Research
• Digital Art
• Media Studies
• +۳ مورد دیگر

Katy Connor is a researcher affiliated with Bournemouth University, specifically the Faculty of Media and Communication. Her work bridges artistic research, digital art, and media studies, focusing on the materiality of digital practices and interdisciplinary methodologies. MA in Contemporary Arts Practice & Dissemination (Dartington College of Arts | University College Falmouth, 2009) Foundation Diploma in Art & Design in Fine Art Photography (Birmingham Institute of Art & Design, 1997) B. Soc. Sc. in Media, Culture & Society (The University of Birmingham, Centre for Contemporary Cultural Studies, 1994) Her research explores the intersection of bio-matter, digital technologies, and material forms through artistic experimentation. Key themes include media art, translation of practice, and the evolving relationship between physical and digital representation. Her publications and projects, such as Translating Practice (2013) and From Solid Light to Satellite (2012), reflect trends in digital humanities, media theory, and experimental art. These works often engage with interdisciplinary frameworks and contemporary cultural studies.

• Wireless Communication
• Cognitive Radio Networks
• Network Protocols
• +۴ مورد دیگر

Urban Bilstrup is a Senior Lecturer at the School of Information Technology, Halmstad University. His professional role focuses on advancing wireless communication technologies and computational intelligence applications. Research Interests: Dr. Bilstrup's work spans wireless network optimization, cognitive radio systems, and predictive modeling using computational intelligence. His research includes solar activity forecasting, cyber conflict analysis, and military communication protocols. Publications: His scholarly output demonstrates expertise in ad hoc networks, dynamic spectrum allocation, and neuro-fuzzy systems for space weather prediction, with a publication history from 2000-2020.

Shuai ZHANGمشاهده پروفایل

پژوهشگر ارشد

• Swarm robots
• Robotics and autonomous systems
• Multi-robot/agent systems
• +۱۰ مورد دیگر

Shuai ZHANG is a Research Fellow at Nanyang Technological University (NTU), Singapore, working under the supervision of Prof. Chen Lv. He previously served as a Postdoctoral Fellow at the University of Hong Kong (HKU) with Prof. Jia Pan and completed his Ph.D. and Master's in Marine Science and Technology at Northwestern Polytechnical University under Prof. Mingyong Liu and Prof. Xingguang Peng. He was also a Joint Ph.D. student at the Intelligent Computational Engineering Laboratory (ICE LAB) at the University of Strathclyde, UK, supervised by Dr. Edmondo Minisci. Ph.D., Marine Science and Technology, Northwestern Polytechnical University Master, Marine Science and Technology, Northwestern Polytechnical University His research focuses on Swarm robots/drones , Robotics and autonomous systems , Swarm intelligence , and Bio-inspired optimization , with applications in Multi-robot/agent systems , Differential privacy , and Distributed control . He investigates collective behaviors in robotic systems using Game theory and Evolutionary dynamics , while integrating Smooth particle hydrodynamics and Agent-based modeling . Recent publications demonstrate expertise in EEG emotion recognition , BCI-assisted neurorehabilitation , and non-invasive brain-computer interfaces , with a trend toward geometric modeling in neural networks and adaptive signal processing. His work bridges theoretical models (e.g., transformers, co-adaptive networks) with practical implementations in embedded systems and wearable technologies. Associate Editor, 2023 IEEE International Conference on Robotics and Biomimetics (ROBIO 2023) He actively contributes to academic services as a reviewer for journals including IEEE Transactions on Robotics (T-RO), IEEE Robotics and Automation Letters (RA-L), and Complex & Intelligent Systems , reflecting his impact in robotics and computational neuroscience communities.

• Pharmacology
• Toxicology
• Oxidative Stress
• +۶ مورد دیگر

Ranieri Rossi serves as Associate Professor of Pharmacology (GSD: 05/BIOS-11, SSD: BIOS-11/A) in the Department of Biotechnology, Chemistry and Pharmacy at the University of Siena, Italy. His academic responsibilities include teaching Pharmacology for the Master's degree in Health Biology (2025/2026) and Toxicology for the 5-year Pharmaceutical Chemistry and Technology program. Based in room C_02_113 at Via Aldo Moro 2, Siena, he maintains regular office hours on Tuesdays from 09:00-10:00 by prior arrangement. Professor Rossi's research centers on oxidative stress mechanisms and redox biology, with particular emphasis on glutathione metabolism in disease pathways. His work investigates NRF2 activation in triple-negative breast cancer survival, melatonin's cytoprotective effects against cadmium-induced male infertility, and eryptosis mechanisms in erythrocytes. This pharmacological research extends to translational applications in veterinary science and food technology, examining dietary supplements in livestock models for improving meat quality, athletic performance in horses, and gut health in piglets. Analysis of his 2023-2025 publications reveals a strong interdisciplinary trajectory spanning human pharmacology, cancer biology, and agricultural science. His work demonstrates consistent focus on thiol-based redox regulation across diverse biological systems—from molecular studies of protein glutathionylation to whole-animal models of oxidative stress. The integration of basic biochemical mechanisms with practical applications in nutrition and toxicology represents a distinctive feature of his scholarly contributions.

Patrik Lennartssonمشاهده پروفایل

مدرس ارشد

• Biotechnology
• Resource Recovery
• Fungal Fermentation
• +۳ مورد دیگر

Patrik Lennartsson is a Senior Lecturer at the University of Borås, Faculty of Textiles, Engineering and Business, Department of Resource Recycling and Community Development. His research focuses on biotechnology within resource recovery, with particular emphasis on fungal fermentation for ethanol production, protein extraction, and waste valorization. He has been employed at the university since 2012, after completing his PhD in Bioscience at Chalmers University of Technology in collaboration with University of Borås, and undergraduate studies at the same institution. Current affiliation: University of Borås (since 2012) PhD: Chalmers University of Technology (collaborative) Undergraduate: University of Borås His research spans multiple biorefinery approaches using filamentous fungi (e.g., Neurospora intermedia , Aspergillus oryzae ) to convert agro-industrial wastes like bread, grape pomace, and wheat straw into ethanol, protein, pigments, and biocomposites. Key methods include submerged and solid-state fermentation, lignocellulose pretreatment, and bioreactor design. He supervises doctoral students Aishwarya Thyagarajan and Sharmeen Mustafa. Recent publications highlight his work on fungal biotechnology for waste valorization, including grape marc conversion to food ingredients, oyster mushroom residue applications, and biocomposite development from pectin-cellulose matrices. His team explores the integration of first- and second-generation bioethanol processes, fungal enzyme production, and the role of second messengers like cAMP in fungal morphology.

Lyndon Brownمشاهده پروفایل

دانشیار

• Control Theory
• Welding Control
• Adaptive Control
• +۴ مورد دیگر

Lyndon Brown is an Associate Professor in the Department of Electrical and Computer Engineering at Western University , specializing in control theory with applications to welding systems and bioinformatics. His groundbreaking work in welding control has influenced industrial practices, particularly in automotive assembly. PhD - University of Illinois @ Urbana/Champaign (1996) MS - University of Illinois @ Urbana/Champaign (1996) BASc - University of Waterloo (1988) Research Interests focus on intermittent cancellation control , welding control systems , and modeling cellular signal transduction . His work in periodic disturbance cancellation has implications for vibration control in semiconductors and precision disk drive operations. In bioinformatics, he develops tools for genomic data analysis related to cancer and metabolic processes. Control Laboratory (Lab #215) investigates: Adaptive algorithms for welding electrode monitoring Open/closed loop strategies for predictable disturbance cancellation Signal transduction pathway modeling for high-throughput biological data Collaborations include serving on the Board of Directors of IRW, Inc., the automotive industry's spot welding research consortium.

• Optics
• Photonics
• Wireless Optical Communication
• +۳ مورد دیگر

Serap Altay Arpali is an Associate Professor at Başkent University's Department of Electrical and Electronics Engineering. Her research focuses on optics, photonics, and biomedical imaging with structured illumination techniques. Education: PhD (2007) from Gazi University, MS (2003) from Çankaya University, BS (1999) from Dumlupınar University Research interests include laser beam propagation through turbulent media, optical wireless communication, and on-chip fluorescence imaging for medical diagnostics. Her recent work has emphasized underwater optical communication systems and biological tissue imaging. Scientific contributions span atmospheric optics, beam shaping, and biomedical device development. Key article trends examine beam propagation in turbulent environments, fluorescent imaging for high-throughput blood screening, and adaptive optics algorithms. Publications range from 2003 to 2022, with recent emphasis on practical biomedical applications. Current affiliations include: Department of Electrical and Electronics Engineering, Başkent University Postdoctoral Researcher at University of California Los Angeles (2012)

Stanislao Graziosoمشاهده پروفایل

استادیار

• Soft Robotics
• Nonlinear Modeling
• Bio-inspired Design
• +۴ مورد دیگر

Stanislao Grazioso serves as Assistant Professor in the Department of Industrial Engineering at the University of Naples Federico II (UNINA), where he leads the BIOIC (Bioinspired soft robotic systems for cognitive production) project. His work focuses on transforming manufacturing through soft robotic technologies, with expertise spanning design, modeling, and control of compliant robotic systems for industrial and biomedical applications. Education: Bachelor of Science in Mechanical Engineering, University of Naples Federico II Master of Science in Mechanical Engineering, University of Naples Federico II Ph.D. in Industrial Engineering, University of Naples Federico II (2018), specializing in soft robotics Research Focus: Dr. Grazioso investigates the entire soft robot development lifecycle, emphasizing innovative design concepts for variable-stiffness actuators, advanced modeling using Cosserat rod theory and finite element methods, and human-robot interaction for safe collaboration. His research platforms include soft grippers for agrifood automation, continuum manipulators for confined spaces, and exoskeletons for industrial assistance. Key applications target nuclear remote handling (DTT fusion reactor), biomechanical analysis, and cognitive manufacturing systems. Publication Trends (2022-2024): Recent work demonstrates accelerating innovation in soft growing robots for remote sensing, bioinspired grippers with embedded adhesion mechanisms, and wearable biomechanics for athlete monitoring. His publications bridge theoretical modeling (e.g., screw theory for continuum robots) with industrial implementation, particularly in fusion reactor maintenance and agrifood automation, reflecting strong technology transfer orientation. Project Leadership: As BIOIC project lead, he drives integration of biological principles into manufacturing robotics. His involvement in DTT remote handling and NEFERTARI projects highlights expertise in nuclear robotics, while collaborations with clinicians demonstrate commitment to medical applications like soft exoskeletons for rehabilitation. Current efforts focus on virtual reality integration for ergonomic workplace assessment and EMG-based wearable systems.

• Spiking Neural Networks
• Machine Learning
• Computational Neuroscience
• +۳ مورد دیگر

Nico Reeb is a Researcher at the Technical University of Munich , affiliated with the Chair for Robotics, Artificial Intelligence and Real-time Systems (I6). He joined the group in December 2020 and focuses on spiking neural networks and neuromorphic computing applications. Education : B.Sc. in Physics (2018) from Ludwig-Maximilians University M.Sc. in Physics (2020) from Ludwig-Maximilians University His research bridges machine learning and computational neuroscience , with applications in automotive radar processing , 3D point cloud reconstruction , and neuromorphic hardware . He has contributed to the KI-ASIC project for energy-efficient AI in autonomous vehicles. Recent publications highlight his work on spiking network optimization, phase-encoded signal processing, and sensor fusion techniques. His educational background includes a semester at the University of Queensland and research experience at the Max Planck Institute for Astrophysics . Key Projects : KI-ASIC (Neuromorphic AI for autonomous vehicles) ANTARES Neutrino Telescope (bioluminescence and neutrino detection) He teaches courses like the SoSe 2021 Seminar on Bio-inspired Data Processing , and his work integrates physics-based approaches with computer science challenges.

Nasreen Anjumمشاهده پروفایل

مدرس

• Cybersecurity
• Cyber-Biosecurity
• Artificial Intelligence
• +۷ مورد دیگر

Dr. Nasreen Anjum is a Lecturer in Computer Science at the University of Portsmouth's Faculty of Technology, with a dual appointment at the Institute of Life Sciences and Healthcare. Her work bridges cybersecurity, artificial intelligence, and biomedical data protection, focusing on securing emerging technologies like IoT, digital twins, and next-generation sequencing systems. PhD in Computer Science, King's College London (2014-2019) Specialist in cyber-biosecurity and AI-driven network security Principal Investigator for UK-Saudi Challenge Fund (2024-2025) Her research spans four key areas: IoT Security : Lightweight cryptography, edge computing integration, and AI-based anomaly detection Cyber-Biosecurity : Genomic data protection, AI-bio convergence security, and NGS threat mitigation Digital Twins : Resilient architectures for healthcare and smart manufacturing applications Edge/Cloud Security : Adaptive access control and hybrid ecosystem protection Selected publications demonstrate interdisciplinary breadth: 2025: Foundational work on cyber-biosecurity in genomic sequencing 2024: Malware awareness education through gamification 2023: Cross-national cybercrime deterrence strategies 2022: IoT applications in pandemic monitoring Scientific recognition includes: Schlumberger Faculty for the Future Fellowship Best Paper Award nomination at IEEE WINCOM Fellow of the Higher Education Academy Actively supervising postgraduate research, Dr. Anjum welcomes PhD candidates in cybersecurity, AI, and technology ethics domains.

• Speech Recognition
• Voice Signal Processing
• Artificial Intelligence
• +۴ مورد دیگر

Rita Singh is a Research Professor at the Language Technologies Institute within the School of Computer Science . Her research focuses on automated discovery, measurement, and learning of information from voice signals for voice intelligence. Contact information includes a phone number at 412-268-9859 . Developed generalizable speech processing algorithms (language-agnostic) and techniques for voice-based profiling of human parameters. Current work involves AI systems for genetic discovery, biomarker identification, and exploration of human physical state and psyche through voice. Research emphasizes scalable learning algorithms, voice signal analysis, and noise-resistant speech processing. She advises students such as Hira Dhamyal . Her methodologies integrate physics and bio-mechanics of voice production, enabling quantitative analysis of voice signals independent of semantic content.

Erik Meijeringمشاهده پروفایل

استاد

• Biomedical Image Computing
• Bioimage Analysis
• Neuron Reconstruction
• +۳ مورد دیگر

Erik Meijering is a Professor of Biomedical Image Computing at the School of Computer Science and Engineering of the University of New South Wales in Sydney, Australia. With a PhD and status as an IEEE Fellow (FIEEE), he leads research in bioimage analysis, neuron reconstruction, and cell tracking. His work bridges computer science, biomedical engineering, and neuroscience, with applications across multiple medical disciplines. Meijering's research focuses on developing computational methods for analyzing biological images, particularly in the areas of neuron tracing, cell tracking, and medical image segmentation. His work employs advanced techniques including deep learning, algorithm benchmarking, and large-scale image analysis. He has pioneered community efforts like the Cell Tracking Challenge and BigNeuron initiative, which have established standardized benchmarks for evaluating bioimage analysis algorithms. His research has significant implications for neuroscience, cancer diagnostics, and personalized medicine. His publication record shows a clear evolution from foundational work in image processing to cutting-edge applications of deep learning in bioimage analysis. Recent work emphasizes cross-domain generalizability of medical AI models, high-plexity microscopy techniques, and large-scale neuron reconstruction. Meijering's research consistently addresses the challenge of translating computational methods into practical biomedical applications. Distinguished Lecturer, IEEE Signal Processing Society (2022-2023) Guest Editor, Special Issue on Deep Learning in Biological Image and Signal Processing (2022) Chair, IEEE Technical Committee on Bio Imaging and Signal Processing (2018-2019) Associate Editor, IEEE Transactions on Medical Imaging (2004-2024) Meijering has secured substantial research funding from multiple sources including NHMRC, EU, NWO, and UNSW. His current projects include Revolutionizing Immunotherapy Response Prediction in Non-Small Cell Lung Cancer (2022-2025) and the Academic Start-Up Fund for Biomedical Image Computing (2019-2024). He has successfully led international collaborations through initiatives like BigNeuron and the Cell Tracking Challenge, which have brought together researchers from Australia, Europe, Asia, and the USA. His research group maintains active collaborations with numerous institutions worldwide, spanning neuroscience, medical imaging, and computational biology. Through his leadership of the BigNeuron project and Cell Tracking Challenge, Meijering has established international communities focused on advancing bioimage analysis. These initiatives have created standardized benchmarks and resources that accelerate progress in neuron reconstruction and cell tracking. His work has helped establish best practices for algorithm evaluation in bioimage analysis, significantly impacting how researchers develop and validate computational methods for biological imaging.

Gian Luca Barbruniمشاهده پروفایل

پژوهشگر

• Wireless Power Transfer
• Mixed-signal CMOS Design
• Low-power ICs
• +۵ مورد دیگر

Gian Luca Barbruni is a Postdoctoral Researcher at the Bio/CMOS Interfaces Laboratory at École polytechnique fédérale de Lausanne (EPFL), Switzerland, where he focuses on designing novel circuital architectures for in-memory sensing and computing, and on drinkable µm-sized bioelectronics for enhanced brain imaging and precise diagnostics. He also served as a Doctoral Assistant at the Integrated Systems Laboratory (LSI1) at EPFL. Dr. Barbruni earned his Ph.D. in Microsystems and Microelectronics from EPFL in 2023, focusing on the design and development of innovative cortical visual prosthesis to revert blindness. Prior to that, he received his M.Sc. in Biomedical Instrumentation (2019) and B.Sc. in Biomedical Engineering (2017) from Politecnico di Torino, Italy. His research primarily centers on the intersection of low-power mixed-signal IC design, wireless power transfer, and microfabrication techniques for biomedical applications. His work spans brain-computer interfaces, vision restoration technologies, cancer diagnostics, and electrochemical sensing systems. Dr. Barbruni's approach integrates circuit design with electrode-tissue interface engineering to create miniaturized, wireless neural interfaces that overcome limitations of traditional neurostimulation systems. His research on frequency-switching inductive links has demonstrated significant improvements in efficiency and power delivery for large-scale neural interfaces. His publication record shows a clear progression toward increasingly sophisticated and miniaturized neural interface systems, with recent work focusing on in-memory sensing for cancer diagnostics and advanced microfabrication techniques for electrode integration. The consistent theme across his publications is the development of wireless, miniaturized systems that can operate within safety constraints while delivering sufficient power for neural stimulation and sensing applications. Dr. Barbruni has received several notable recognitions for his work: Best Student Paper Award in Electronics at IEEE MOCAST, 2022 in Bremen, Germany As a Principal Investigator, he has secured multiple competitive grants including MINT-CMOS (Enable 2022) and WIMOS-RES (Enable 2022). He serves as a reviewer for prestigious journals including IEEE Transactions of Biomedical Circuits and Systems and IEEE Sensors Journal, and as a TPC member for major conferences such as IEEE BioCAS, IEEE Sensors, IEEE MeMeA, and IEEE ICECS. Dr. Barbruni is actively involved with the Bio/CMOS Interfaces Laboratory in Neuchâtel, part of EPFL's School of Engineering, where he leads research on novel circuital architectures for in-memory sensing and computing. His work on 'Neural Dot' represents a significant advancement in fully integrated monolithic chips for neural interfaces, featuring wafer-level CMOS-compatible post-processing techniques for electrode integration that address traditional challenges in miniaturized neural implant design.