جست‌وجوی استاد و پژوهشگر

Apostolos Georgakisمشاهده پروفایل

دانشیار

• Biomedical Signal Processing
• Audio Engineering
• Electroglottography
• +۷ مورد دیگر

Dr. Apostolos Georgakis is an Associate Professor in Electrical and Electronic Engineering at the School of Computing and Engineering, University of West London (UWL). He joined UWL in 2017 after serving at King’s College London’s Division of Engineering. His academic role involves teaching and research in engineering with a strong focus on signal processing and biomedical applications. University: University of West London School: School of Computing and Engineering Department: Department of Electrical and Electronic Engineering Academic Rank: Associate Professor Email: apostolos.georgakis@uwl.ac.uk Dr. Georgakis holds an MSc in Mathematics and Statistics and a PhD in Engineering. His research interests center on biomedical signal processing, audio engineering, and medical diagnostics using advanced signal analysis techniques. He has made significant contributions to the fields of electroglottography for vocal tract pathology detection and heart rate monitoring via tracheal audio signals. His work bridges engineering with healthcare applications, particularly in non-invasive monitoring and diagnostic systems. His recent publications (2022–2024) demonstrate a clear trend toward applying digital signal processing and machine learning methods to medical diagnostics. Topics include laryngeal pathology detection using MFCC/GTCC features, systematic reviews on electroglottography, and automatic heart rate estimation during sleep. Earlier works (2014–2015) focus on theoretical signal restoration and denoising techniques using fractional Fourier transforms and mask operations, showing a strong foundation in mathematical signal processing. A 2019 publication also highlights his interdisciplinary work in thermal engineering involving liquid desiccant systems. Dr. Georgakis teaches across multiple programs, including: MSc Electronic and Robotic Engineering BEng (Hons) Electrical and Electronic Engineering (with and without Foundation Year) BSc (Hons) Sound Engineering (with and without Foundation Year) BSc (Hons) Mathematics and Statistics (with and without Foundation Year) MSc Digital Audio Engineering PhD Engineering While no specific scientific awards are listed, his sustained publication record in high-impact journals such as Digital Signal Processing , Signal Processing , and MDPI Diagnostics reflects active research engagement. He collaborates with researchers internationally, particularly in biomedical signal analysis and veterinary monitoring. Dr. Georgakis advises postgraduate students and supervises PhD candidates in engineering disciplines, though specific student names are not listed. He has not received mention of external research grants in the provided text, but his involvement in applied research suggests potential grant-funded projects. His work in wireless acoustic sensors and medical diagnostics may involve future expansion into wearable health technologies and AI-driven diagnostic tools. There is no mention of a dedicated lab or research team in the provided text, but his research themes suggest potential affiliation with biomedical engineering or audio signal processing groups within the School of Computing and Engineering at UWL.

• Flexible and Stretchable Electronics
• Wearable Biosensors
• Antennas
• +۴ مورد دیگر

Dr. Shanmuga Sundar Dhanabalan is an Adjunct Senior Fellow in the School of Engineering at RMIT University, specializing in flexible/stretchable electronics, wearable biosensors, and photonics. His research focuses on smart medical devices like Smart Mattresses for aged care and Smart Eye Patches for chronic eye disease management. He collaborates extensively with industry and holds roles in research supervision and curriculum development. **Affiliations**: Functional Materials and Microsystems Research Group, RMIT University (Melbourne, Australia). **Research Interests**: Wearable sensors, optical communications, photonics, antennas, and sustainable nanomaterials. His work bridges materials science with healthcare technologies, emphasizing practical industry applications. **Awards**: Fondecyt Postdoctoral Fellowship (2018), TEQIP Doctoral Scholarship (2013), and fellowships with the Optical Society of India and Computer Science Teacher Association. **Supervision & Grants**: Active in mentoring postgraduate research projects (e.g., smart sensors, bioelectronic devices). His publications span over 60 peer-reviewed articles in journals like Optical and Quantum Electronics and Renewable and Sustainable Energy Reviews . **Labs/Teams**: Engaged in cross-disciplinary teams developing wearable health monitoring technologies and sustainable materials for electronics.

Amit Pujariمشاهده پروفایل

دانشیار

• Biomedical Engineering
• Neurorehabilitation Engineering
• Neuromodulation
• +۵ مورد دیگر

Associate Professor Amit Pujari is a biomedical engineer and neuroscientist at the University of Hertfordshire, leading the Neu(RAL)² Laboratory. He holds an honorary position at the University of Aberdeen and is a Royal Academy of Engineering Industrial Fellow. His work focuses on developing non-invasive neuromodulatory devices for stroke and spinal injury rehabilitation. Education: PhD in Biomedical Engineering, University of Aberdeen (2016) MSc in Biomedical Engineering, University of Strathclyde (2007) BE in Instrumentation & Control Engineering, Pune University (2003) Research Interests: Optimizing neuromodulatory stimuli (vibrotactile/electrical) for rehabilitation, neurophysiological basis of vibration therapy, and assistive technologies. His lab is equipped with advanced tools like high-density EMG systems, TMSi devices, and custom vibration stimulators. Awards: Academy of Medical Sciences’ Top 25 Emerging Leaders (2023) British Science Association Award Lecture (2022) Winston Churchill Memorial Trust Fellowship (2017) Grants/Projects: VECTOR: Randomized controlled trial for Crohn’s disease rehabilitation (2024–2027) SPASMS: Wearable sensor technology for spasticity management (2023–2025) User-led design of neurotechnologies for stroke survivors (2023–2025) Labs: Neu(RAL)² Laboratory focuses on neural systems rehabilitation, housing state-of-the-art equipment for EMG/EEG, TMS, and custom devices.

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

Professor Omid Kavehei is a Professor of Intelligent Microsystems in the Faculty of Engineering at the University of Sydney, serving as Deputy Head of the School of Biomedical Engineering. Previously, he held roles as a Research Fellow at the University of Melbourne and Lecturer at RMIT University. His research focuses on biomedical microsystems, nanotechnology, and brain-inspired hardware for healthcare applications, particularly epilepsy monitoring and seizure prediction. Education: PhD (specific institution not explicitly stated) His work bridges nanoelectronics and healthcare, aiming to develop low-power, brain-inspired devices for sensory perception and medical diagnostics. Key interests include neuromorphic engineering, wearable sensors, and AI-driven medical systems. Awards include the Ramaciotti Biomedical Research Award (2021), Microsoft AI for Accessibility Grant (2019), and multiple teaching/research excellence awards from the University of Sydney. His recent work explores neuromorphic cytometry for cell analysis, edge AI for ECG/EEG diagnostics, and closed-loop neurostimulation systems. Collaborations include the Sydney Nano Institute, Brain and Mind Centre, and industry partners like Microsoft. Current research students are advancing topics like bio-inspired algorithms for seizure detection, hardware-friendly machine learning models, and flexible sensor systems for aquatic environments. Grants include funding for neurophysiology platforms, quantum sensors, and semiconductor design. Labs/teams: Involved in the Centre for Drug Discovery Innovation and collaborations across engineering, neuroscience, and clinical domains.

Francesca Dalia Faraciمشاهده پروفایل

مدرس ارشد

• Biomedical Signal Processing
• Medical Data Analysis
• Wearable Technology
• +۵ مورد دیگر

Francesca Dalia Faraci is a Senior Lecturer and Researcher at the Department of Innovative Technologies (DTI) of SUPSI. She holds a PhD in Electronics from the University of York (UK) and a Laurea in Physics from the University of Genoa (Italy). Her research focuses on biomedical signal processing, statistical data analysis, and wearable technology applications in healthcare. She leads projects such as Cardio MIPA (arrhythmia monitoring) and AutoPlay_DD (child development analysis via smart toys). Key contributions include developing algorithms for sleep staging, arrhythmia detection, and synthetic ECG generation. Awards include the GOSPEL and DoE School Certificates. She coordinates research projects and teaches courses in Physics and Applied Statistics. Education: PhD in Electronics (University of York, 2006), Laurea in Physics (University of Genoa, 2002) Roles: Senior Lecturer, Researcher, Project Coordinator Key Projects: Tackling teleWorking Impacts, my Doctor's Lifestyle (lifestyle medicine), Telemonitoring Breast Cancer Her research bridges AI and clinical practice, emphasizing ethical frameworks and complementarity between clinicians and AI systems. Recent work includes causal inference for sleep dynamics and bias quantification in healthcare algorithms.

Chadi Calargeمشاهده پروفایل

استاد

• Child and Adolescent Psychiatry
• Developmental Pediatrics
• Psychopharmacology
• +۶ مورد دیگر

Chadi Calarge, M.D. is a Professor at Baylor College of Medicine and leads the Calarge Lab affiliated with Texas Children’s Hospital and the Meyer Center for Developmental Pediatrics and Autism . His research focuses on the biological basis of mental illness in children and adolescents , particularly examining interactions between mental health and physical outcomes, such as growth patterns, bone health, metabolic changes, and gut-brain axis dynamics. Research Themes : Psychiatric medication effects on growth hormone signaling and longitudinal growth Role of iron deficiency and gut permeability in internalizing disorders Genetic moderators of antipsychotic and SSRI side effects Microbiome and inflammatory markers in adolescent depression Metformin as an adjunct for antipsychotic-induced metabolic issues Key Publications (2015-2024) span psychopharmacology , developmental neuroscience , and pediatric psychiatry , with recurring themes of growth inhibition from SSRIs and antipsychotics iron deficiency as a biomarker in psychiatric disorders microbiome alterations linked to mental health genetic risk factors for medication side effects metabolic monitoring standards in youth psychiatric care

Peter Jaxمشاهده پروفایل

استاد

• Speech and Audio Processing
• Acoustic Signal Enhancement
• Machine Learning for Audio Systems
• +۵ مورد دیگر

Peter Jax is a Full Professor at RWTH Aachen University , leading the Chair of Communication Systems . His research focuses on speech and audio processing , with expertise in active noise control , spatial audio , and machine learning applications for acoustic systems. Diploma in Electrical Engineering (1997), RWTH Aachen University PhD (2002), RWTH Aachen University Research areas include binaural direction-of-arrival estimation , MIMO acoustic system identification , and adaptive filtering for consumer and medical audio applications. Recent articles highlight innovations in ambisonics upscaling , noise control for UAVs , and data-driven uncertainty modeling in headphones. Scientific honors : Distinguished Member of Technicolor Fellowship Network (2010) Johann-Philipp-Reis Preis Borchers Medal E-Plus Award for Best Dissertation With over 25 patents in speech/audio processing and leadership roles in industry (Deutsche Thomson OHG, 2005–2015), he bridges academic research and industrial innovation.

Stephan Dilchertمشاهده پروفایل

دانشیار

• Industrial/Organizational Psychology
• Human Resource Management
• Personality Assessment
• +۸ مورد دیگر

Stephan Dilchert is an Associate Professor at the Zicklin School of Business, City University of New York (CUNY), where he serves as the Academic Director of the Executive MBA Program. He is affiliated with the Narendra Paul Loomba Department of Management. Previously, Dr. Dilchert served as Academic Director of the school's Executive Master's in Human Resource Management for seven years, demonstrating his leadership in executive education. Dr. Dilchert earned his PhD in Industrial/Organizational Psychology from the University of Minnesota in 2008. He also holds professional certifications including SPHR from the Human Resources Certification Institute (2014) and SHRM-SCP from the Society for Human Resource Management (2015), which complement his academic credentials with practical HR expertise. His research focuses on the influence of human capital characteristics such as personality and intelligence on employee job performance, including creativity and counterproductivity. Dr. Dilchert has published extensively in top journals and has co-edited the book 'Managing human resources for environmental sustainability.' His recent work has increasingly incorporated wearable sensor technology to examine physiological correlates of workplace behaviors and health outcomes, particularly through the TemPredict study. His research spans talent acquisition, people analytics, employee assessment, counterproductive work behaviors, and environmental sustainability. Dr. Dilchert's recent publications (2022-2025) reveal a strong interdisciplinary approach combining organizational psychology with digital health technologies. His work demonstrates growing interest in sex differences in physiological responses, environmental sustainability in organizations, and personality-environment alignment at work. The TemPredict study has been particularly influential in using wearable devices for early detection of health conditions including COVID-19, with significant contributions to understanding how physiological data relates to workplace behaviors and health outcomes. In his applied work, Dr. Dilchert has developed assessments and designed staffing and feedback systems for multinational corporations (P&G, MetLife, Otis, DHL), government agencies (Department of Justice, State of California), and international organizations (United Nations, Disability Rights Advocates). He has collaborated extensively with researchers including Deniz Ones and Boris Wiernik on meta-analytic studies examining personality-work relationships across cultural contexts. Dr. Dilchert teaches courses related to human resources, organizational behavior, and human capital management at both graduate and doctoral levels. His teaching portfolio includes 'HR Metrics and People Analytics,' 'Human Resources,' 'Fundamentals of Management,' and 'Human Capital & the Triple Bottom Line,' reflecting the breadth of his expertise in connecting individual differences to organizational outcomes.

Ricardo Izquierdoمشاهده پروفایل

استاد

• Microelectromechanical Systems (MEMS)
• Nanoelectromechanical Systems (NEMS)
• Nanotechnology
• +۱۰ مورد دیگر

Ricardo Izquierdo is a Professor in the Department of Electrical Engineering at École de technologie supérieure (ÉTS), where he holds a prominent position as Director of the LACIME (Communications and Microelectronic Integration Laboratory). He earned his B.Ing., M.Sc.A., and Ph.D. in Physics Engineering from Polytechnique Montréal. His research spans multiple interdisciplinary fields, with a focus on printed electronics, nanomaterials, and sustainable energy systems. Department: Department of Electrical Engineering Research Laboratories: LACIME (Director), ÉDÉ Sustainable Energy Laboratory Office: A-2475 Email: ricardo.izquierdo@etsmtl.ca Professor Izquierdo's research interests center on micro- and nanosystems (MEMS/NEMS), nanotechnology, printed electronics, biosensors, organic solar cells, and embedded systems for sports equipment. His work bridges fundamental materials science with practical applications in healthcare, environmental monitoring, and sustainable energy. He has developed innovative approaches to printed flexible sensors, photonic curing techniques for solar cells, and graphene-based materials for gas sensing applications. An analysis of his 15 most recent publications reveals a strong focus on printed flexible electronics for sensing applications, advanced photonic curing techniques for perovskite solar cells, and novel materials for energy applications. His work demonstrates a consistent trend toward developing practical, manufacturable solutions that address real-world challenges in healthcare monitoring, environmental sensing, and renewable energy conversion. Professor Izquierdo has received significant recognition through his extensive publication record, with numerous articles in high-impact journals including ACS Omega, Nanomaterials, and IEEE Sensors Journal. His research has practical applications in smart packaging, wearable health monitoring, and sustainable energy systems. He actively supervises a large cohort of graduate students across multiple project types including doctoral theses, master's theses, applied projects, and industry interventions. His students work on cutting-edge topics such as printed temperature and pH sensors, perovskite solar cells, microfluidic biosensors, and graphene-based gas sensors. His research has attracted funding for projects related to printed electronics, sustainable energy systems, and biomedical applications. As Director of LACIME, Professor Izquierdo leads a research group focused on six key areas: functional materials, micro- and nanofabrication processes, integrated circuit design, hybrid components fabrication, photonic and electronic microsystems, and signal processing and communication. The laboratory serves as a hub for innovation in printed electronics and microsystem technologies.

Juan Antonio Corrales Ramónمشاهده پروفایل

پژوهشگر ارشد

• Robotics
• Human-Robot Interaction
• Robotic Manipulation
• +۳ مورد دیگر

Juan Antonio Corrales Ramón is a Research Fellow at the University of Santiago de Compostela's CiTIUS laboratory under the prestigious Beatriz Galindo program. Previously, he served as an Associate Professor at Sigma Clermont Engineering School (2014-2020) and conducted research at UPMC/ISIR in France. His academic credentials include a PhD in Automatic Control and Robotics (2011) and a Computer Engineering degree (2005) from the University of Alicante. Dr. Corrales' research centers on robotics with specialized interests in: Human-robot physical interaction for industrial applications Deformable object manipulation and control theory Tactile sensing technologies and sensor fusion Robotic grasping and in-hand manipulation Multi-robot coordination systems His recent publications demonstrate strong focus on adaptive control systems for deformable objects, tactile sensor development, and human-robot collaboration frameworks. He has participated in significant EU projects including: H2020 SoftManBot (soft material handling) H2020 Bots2Rec (recycling robotics) FUI Aerostrip (aerospace applications) Sudoe Commandia (service robotics) Honors include competitive fellowships: FPU Program Fellowship (Spanish Ministry of Education) Beatriz Galindo Program Fellowship (research excellence) At CiTIUS laboratory, he contributes to advanced robotics research with applications in industrial automation, healthcare, and agricultural robotics.

• Internet of Things (IoT)
• Machine Learning
• Smart Agriculture
• +۹ مورد دیگر

Laura Belli is a Researcher at the Department of Engineering and Architecture , University of Parma, with a focus on interdisciplinary projects bridging IoT, Machine Learning, and Smart Systems . Her work spans smart agriculture, vehicular networks, and urban mobility. Research Interests: Internet of Things (IoT) in agriculture and transportation Machine Learning for predictive modeling and data analysis Edge Computing and network optimization Blockchain applications in data integrity Driver health and stress monitoring Recent Publications highlight her contributions to privacy-preserving vehicular systems , smart farming datasets , and adaptive IoT protocols . She collaborates on projects like OPEVA and DistriMuse , emphasizing data-driven innovation.

Ahmed Ahmedمشاهده پروفایل

دانشیار

• Computer Science
• Artificial Intelligence
• Machine Learning
• +۵ مورد دیگر

Ahmed Ahmed, an associate professor in the Department of Computer Science at Prairie View A&M University (PVAMU) , shapes tech leaders through innovative teaching and research. His work spans IoT, AI, and ML applications across agriculture, infrastructure monitoring, and healthcare. Key research areas include: IoT and AI for sustainable agricultural practices LoRa-based location tracking in constrained environments Secure blockchain-federated learning systems Geofencing for community safety With over 50 peer-reviewed publications and a $300k NSF grant (2023), Ahmed develops hands-on learning tools like a Special Interest Group for IoT and live programming demonstrations. His global journey—from Cairo University to a PhD at the University of Saskatchewan—fuels his commitment to empowering underrepresented students. Scientific awards include the PVAMU Faculty Service Award . He advises students like Kritika Singh (2022 graduate) and advocates for continuous refinement of teaching as a craft.

Tim Dallasمشاهده پروفایل

استاد

• MEMS-based Education
• Renewable Energy Systems
• Engineering Education
• +۵ مورد دیگر

Tim Dallas is an Associate Dean of the Graduate School and Professor of Electrical and Computer Engineering at Texas Tech University's Whitacre College of Engineering. His roles include overseeing graduate fellowship programs and developing innovative MEMS-based educational tools. Dr. Dallas is renowned for co-creating the Solar-Powered Digital Classroom-in-a-Box, deployed in off-the-grid African regions using pico projectors. Co-founded Class on a Chip, Inc. (2008) for commercializing micro-experimental devices Established the Technology Start-up Lab (2014) in partnership with business classes Principal Investigator for NSF-REU, CCLI, and S-STEM grants His research spans renewable energy systems, biometric authentication, and interdisciplinary learning. Dr. Dallas has secured funding from Keck and Welch Foundations for MEMS-based education technologies and served as Associate Editor for IEEE Transactions on Education. He is a Senior Member of IEEE and affiliated with ASEE and SPIE.

Yuanfang Guanمشاهده پروفایل

استاد

• Bioinformatics
• Computational Biology
• Machine Learning in Medicine
• +۵ مورد دیگر

Professor Yuanfang Guan is affiliated with the University of Michigan in the Department of Computational Medicine and Bioinformatics. Their research focuses on bioinformatics and computational biology applications in medical research. Key research areas include: Computational oncology with emphasis on tumor subclonal reconstruction AI applications in clinical pharmacology and drug response prediction Machine learning for neurogenetic disorders like SCA3 Development of digital health measures for neurological diseases Single-cell sequencing data analysis and quality control Epigenomic data imputation and genomic feature analysis Recent publications highlight collaborative projects on LSD1 inhibitors for sickle cell disease, long COVID prediction models, and optimization of genomic deep learning. Their work involves algorithm development for cancer evolution analysis, disease biomarker identification, and AI-driven biomedical applications.

Carlo Alberto Avizzanoمشاهده پروفایل

دانشیار

• Robotics and Automation
• Human-Robot Interaction
• Computer Vision
• +۶ مورد دیگر

Carlo Alberto Avizzano serves as Associate Professor in Robotics and Automation at the University of Pisa's School of Engineering, Department of Information Engineering. He coordinates the Department of Excellence in Robotics & Artificial Intelligence (MUR) and leads the Intelligent Automation System Research Group. Research spans robotics, human-robot interaction, computer vision, and control systems Specializes in creating intelligent automation systems with cognitive capabilities Integrates AI, machine learning, and mechatronics for robust autonomous systems His research focuses on developing robots that learn from human examples, adapt to changing environments, and interact through advanced perception systems. Current work emphasizes wearable robotics, UAVs, and industrial automation solutions with applications in medical rehabilitation, firefighting, and manufacturing. He employs distributed computing architectures integrating sensors, real-time control, and knowledge transfer algorithms. Publications reveal strong emphasis on practical implementations: 15 recent works cover exoskeleton design (2024), UAV firefighting systems (2024), industrial bin-picking datasets (2024), and haptic interfaces (2012-2023). Key trends show progression from virtual reality systems (2006-2008) toward modern AI-integrated robotics with industrial and medical applications. Teaching responsibilities include PhD courses in Sensors for Construction, Python Programming for HealthScience, and Digital Perception; plus undergraduate Mechatronics and Computer Vision labs. He serves on PhD boards for Emerging Digital Technologies and Health Science Technology. Extensive patent portfolio including haptic interfaces (2012), sailing simulators (2006), and UAV systems (2024) Research directly translated to commercial products and spin-off companies