جست‌وجوی استاد و پژوهشگر

• Wireless Communications
• Optical Communications
• Radar Signal Processing
• +۶ مورد دیگر

Saleh A. Alshebeili is a Professor in the Department of Electrical Engineering at King Saud University's College of Engineering, Riyadh, Saudi Arabia. With over 139 publications spanning from 1991 to 2024, his research demonstrates significant contributions across multiple engineering disciplines. His academic profile shows consistent collaboration with Saudi research institutions and international partners, particularly in communications and signal processing fields. Dr. Alshebeili's research interests span wireless communications, optical networks, radar systems, and biomedical signal processing. His work bridges theoretical signal processing with practical applications in 5G/6G communications, IoT security systems, and healthcare monitoring. The interdisciplinary nature of his research connects electrical engineering with computer science, particularly through machine learning applications for signal analysis and system optimization. His publications demonstrate expertise in both traditional signal processing techniques and emerging AI-driven approaches to engineering problems. Analysis of his recent publications (2021-2024) reveals a strong focus on next-generation communication technologies including 6G systems, optical wavelength conversion, and OAM-SDM communication. Simultaneously, he maintains active research in biomedical applications, particularly EEG signal processing for seizure detection and biometric authentication using physiological signals. His work consistently appears in top IEEE journals including IEEE Access, IEEE Transactions on Wireless Communications, and IEEE Journal of Biomedical and Health Informatics, reflecting the high quality and relevance of his research. Dr. Alshebeili has established extensive collaborations with researchers across King Saud University, particularly with Fathi E. Abd El-Samie (29 co-authored papers), Turky N. Alotaiby (22 papers), and Amr Ragheb (21 papers). These long-term collaborations suggest leadership in research groups focusing on communications systems and biomedical signal processing. His work spans theoretical development, simulation, and experimental validation, as evidenced by publications with 'Experimental Investigation' and 'Experimental Demonstration' in their titles.

• Artificial Intelligence
• Healthcare Informatics
• Data Science
• +۵ مورد دیگر

Luís B. Elvas is an Assistant Professor at ISCTE-University Institute of Lisbon's Department of Social and Business Sciences (SINTRA) and a Research Assistant at ISTAR-Iscte Research Center. He holds qualifications including a Technical Specialization in TensorFlow for AI (Coursera, 2021) and certifications in IoT/Blockchain from ISCTE and cybersecurity from Palo Alto Networks. His research spans artificial intelligence, healthcare informatics, smart cities, and blockchain, with applied work in medical imaging, data sharing, and urban analytics. Research interests include: Healthcare AI : Developing deep learning models for cardiac diagnostics, medical imaging analysis, and blockchain-based health data systems Smart Cities : Implementing IoT solutions for urban mobility optimization, disaster management, and sustainable transportation Data Science : Creating predictive analytics frameworks for clinical decision support and urban planning His publications demonstrate a strong focus on AI-driven healthcare solutions (67% of recent works) and smart city technologies (33%), with emerging interests in blockchain and NLP. Research consistently targets real-world applications in clinical settings and urban environments. Awards: Award for best internship, Order of Engineers (2022) Distinction for best internship, Order of Engineers (2021) He leads/contributes to multiple EU research consortia including AMR-EDUCare (antimicrobial resistance education), NEEM (e-health in Nepal), and Blockchain.PT. Coordinates the IEEE Computational Intelligence Society Student Branch Chapter at ISCTE and developed the ManagiDiTH master's program in digital health transformation.

Kshirasagar Naikمشاهده پروفایل

استاد

• Mobile and Ad Hoc Networks
• Low Power Software
• Optical Networks
• +۱۵ مورد دیگر

Kshirasagar Naik is a Professor in the Department of Electrical and Computer Engineering at the University of Waterloo, Ontario. He is actively involved in graduate research supervision and has been a member of IEEE since 1994. His academic career spans decades, with a focus on wireless communication, energy efficiency, and cybersecurity. 1992, Doctorate in Computer Engineering from Concordia University, Ontario 1988, Master of Mathematics in Computer Science from University of Waterloo, Ontario 1983, MTech in Computer Engineering from Indian Institute of Technology, Kharagpur, India 1981, BScEng in Electronics and Telecommunication from Sambalpur University, India His research interests include Mobile and Ad Hoc Networks , Cybersecurity , Internet of Things (IoT) , and Intelligent Transportation Systems . He has published extensively on energy optimization in wireless devices, delay-tolerant networks, and security protocols for vehicular systems. Recent publications highlight the integration of Machine Learning and IoT in environmental monitoring, particularly forest fire detection and prediction. Other works focus on cybersecurity , vehicular networks , and energy optimization in data centers and handheld devices. Professor Naik is currently accepting graduate students for research in mobile systems, network protocols, and green computing at the University of Waterloo.

Joris Pascalمشاهده پروفایل

مدرس

• Medical Sensor Systems
• Biomedical Engineering
• Magnetic Field Sensing
• +۳ مورد دیگر

Prof. Joris Pascal is a Lecturer in Life Science Technologies at the University of Applied Sciences and Arts Northwestern Switzerland (FHNW), affiliated with the School of Life Sciences and the Institute for Medical Engineering and Medical Informatics in Muttenz, Switzerland. He holds a Ph.D. in Microelectronics from the University of Strasbourg (2008), an M.S. in Electrical Engineering from Supélec (2005), and a B.S. in Electrical Engineering from the University of Strasbourg (2003). His professional experience includes roles as Senior Scientist and Scientist at ABB Switzerland Ltd. (2009–2015), and Research Assistant at the iCube laboratory (2005–2009). His research focuses on advanced biosignal processing, medical sensor systems, magnetic field sensing, and miniaturized diagnostic/therapeutic tools. Key projects include electromagnetic tracking systems for neurosurgery, magnetic safety assessment for MRI workers, and wearable sensor integration. He has 9 patents (5 granted, 4 pending) and extensive IEEE review involvement. Recent publications emphasize magnetic field cameras, MRI safety protocols, and nanoscale sensor technologies. His work bridges electrical engineering and biomedical applications, with contributions to medical robotics, portable NMR devices, and cardiac implant safety. Active in PhD committee roles and industry-academia collaborations, he leads projects at the intersection of sensor innovation and clinical needs.

Laurence Meagherمشاهده پروفایل

استاد

• Medical Engineering
• Materials Science
• Antimicrobial Coatings
• +۳ مورد دیگر

Laurence Meagher is a Professor at Monash University, affiliated with the Department of Materials Science and Engineering. He is the Director of the ARC Training Centre for Cell and Tissue Engineering Technologies and the Monash SPARK program, focusing on translating medical research into clinical applications. His research addresses challenges in antimicrobial coatings for medical devices, bioprinting for cardiac applications, and tissue engineering solutions for fibrosis and thrombosis. He leads projects like the 'Monash Centre to Impact AMR' and collaborates on advanced materials for cell therapies. Director, ARC Training Centre for Cell and Tissue Engineering Technologies Director, Monash SPARK program Chair, Industrial Engagement working group (Monash Centre to Impact AMR) His research interests include surface modification of biomedical materials, controlled radical polymerization for antibacterial coatings, and synthetic cell culture systems. He has pioneered antimicrobial polymers effective against drug-resistant pathogens without fostering resistance. Recent work focuses on bioprinting hydrogel bioinks and nanosensors for real-time monitoring of biological systems. Notable projects include the development of non-thrombogenic stents and bone regeneration scaffolds. His contributions align with UN Sustainable Development Goals, particularly in advancing affordable medical technologies and reducing antimicrobial resistance.

• Biomedical Engineering
• Cardiac Electrophysiology
• Neural Interfaces
• +۵ مورد دیگر

Overview Amr Al Abed is a Senior Lecturer at the Graduate School of Biomedical Engineering, University of New South Wales . He specializes in computational modeling, biomedical instrumentation, and electrophysiology with a focus on cardiac and neural systems. His work bridges biocomputational simulations with experimental validation, emphasizing translational applications like gene therapy delivery, medical devices, and brain-machine interfaces. Education PhD in Biomedical Engineering (UNSW, 2012) Masters in Biomedical Engineering (UNSW, 2006) Bachelor of Medical Sciences (1st Class Honours, UNSW, 2004) Research Interests His research spans: Optrode Technology: Development of liquid crystal-based optrodes for neural and cardiac sensing. Gene Electrotransfer: Novel methods for targeted DNA/RNA delivery using conductivity-clamped electric fields. Computational Cardiology: Multi-physics models of heart mechanics and fluid dynamics for surgical planning and device design. Neural Interfaces: Bidirectional stimulation/detection systems for retinal and neural prosthetics. Publications His 2023-2025 work highlights advancements in flexible electrode arrays , motorless robotic systems , and deep tissue gene delivery . Key themes include biomedical device innovation, computational modeling of cardiovascular systems, and neurotechnology. Grants & Labs Leads projects on liquid crystal optrodes and electrotransfer systems. Collaborates with labs focused on neural interfaces and cardiac electrophysiology. Active in IEEE and SPIE conferences with over 70 peer-reviewed publications.

• Robotics
• Mobile Robots
• Intelligent Vehicles
• +۳ مورد دیگر

Urbano J. Nunes is a Full Professor at Coimbra University and Senior Researcher at the Institute for Systems and Robotics (ISR-UC) , where he coordinates the Human-Centered Mobile Robotics Lab . His career spans national and international funded projects in mobile robotics , intelligent vehicles , and human-machine interfaces , with over 160 publications in journals and conferences. He has supervised 13 completed PhD students and currently guides 4 more. Key Roles : IROS Advisory Committee (2013-), IEEE ITS Society Vice President (2011-2012), IEEE RAS Technical Committee Cochair (2006-2011) Editorial Leadership : Associate Editor for IEEE Transactions on Intelligent Vehicles (2015-), former Associate Editor for IEEE Transactions on Intelligent Transportation Systems (2007-2016) Research Interests focus on human-centered mobile robotics , including mobile service robotics , assistive robotics , autonomous vehicle navigation , pattern recognition , and machine learning . His recent work involves 3D LiDAR processing, multispectral imaging in agriculture, and brain-computer interface (BCI) reliability improvements. Scientific Awards : IEEE ITS Society Outstanding Service Award (2006) IEEE RAS Most Active Technical Committee Award (2006) NiSIS Competition Winner for Automotive Dataset Analysis (2007) Grant Leadership includes 33 funded projects from 2001 to 2025 across domains like digital agriculture (GreenBotics), green automotive innovation (GreenAuto), and telerehabilitation platforms (INPACT), with international collaborations spanning EU programs and Portugal’s FCT grants. Labs & Teams : Coordinates the Human-Centered Mobile Robotics Lab at ISR-UC, integrating cross-disciplinary teams in robotics, AI, and BCI research. His group partners with institutions like CERN and European Commission JRC in cybernetic transportation systems.

• Environmental Science
• Geospatial Informatics
• Machine Learning
• +۳ مورد دیگر

Hamid Mehmood serves as an Adjunct Assistant Professor at McMaster University's School of Earth, Environment & Society, contributing to interdisciplinary environmental and societal research through computational methods. His scholarly focus spans multiple domains: Environmental Science (flood/reservoir mapping, carbon cycle analysis) Geospatial Informatics (GNSS/WLAN positioning, Landsat/GIS platforms) Machine Learning (neural networks for urban/environmental applications) Public Health (AMR, cardiovascular coping, clinical trials) ICT for Development (Urdu systems for farmers, mobile scaling) Recent publications demonstrate a shift toward urgent global challenges: 2024 machine learning-driven urban slum mapping in Indonesia, 2022 environmental health reviews on antimicrobial resistance, and 2021 geospatial platforms for flood management. His work consistently bridges technical innovation (e.g., Google Earth Engine, IVIG trials) with socio-economic contexts in Pakistan, Saudi Arabia, and Southeast Asia, while earlier research (2013-2015) established foundations in neural network-optimized positioning systems.

Francois Sieweمشاهده پروفایل

عضو هیئت علمی

• Computer Security
• Pervasive Systems
• Formal Methods
• +۶ مورد دیگر

Francois Siewe is a Reader in Computer Science at De Montfort University (DMU), affiliated with the School of Computer Science and Informatics within the Faculty of Computing, Engineering and Media. He conducts research in the Software Technology Research Laboratory (STRL) and the Cyber Technology Institute (CTI). His work spans formal methods, pervasive systems, and cybersecurity. His research interests include: Computer Security Pervasive Systems Formal Methods Process Calculi Formal Verification The recent publications highlight a strong trend in applying formal techniques to software modeling and verification, integrating AI for health and environmental monitoring, and advancing software quality assessment. His work often bridges theoretical foundations with practical system design, particularly in context-aware and distributed environments. Scientific awards: Research Journal of Textile and Apparel (RJTA) Excellent Paper Award 2011 Francois Siewe actively supervises postgraduate research. He is first supervisor for Ahmed Mohammed Alalshuhai, Abdulgader Zaid Almutairi, Saud Maqed Almutairi, Muslit Awadh Alotaibi, Asma Abdulghani Qasem Al-Shargabi, Elena Chernikova, and Abdulghani Mahmoud Suwan. He serves as second supervisor for Abdullah Shawan Alotaibi and Amr Mohsen Jadi. While specific grants are not listed, his past involvement in EPSRC-funded projects (e.g., MELANGE) indicates experience with competitive research funding. He is a key member of the Software Technology Research Laboratory (STRL), contributing to its focus on software engineering, cybersecurity, and ambient intelligence.

• Veterinary Epidemiology
• Udder Health in Ruminants
• Pathogen Genomics
• +۵ مورد دیگر

Dr. Gerrit Koop is an Associate Professor at the Department of Population Health Sciences, Faculty of Veterinary Medicine, Utrecht University , where he has worked since April 2023. Previously, he served as a University Lecturer (2013-2023) and Junior University Lecturer (2011-2013). His research focuses on udder health in ruminants (cows, sheep, goats, buffalo), using (molecular) epidemiological techniques to address practical questions in both the Netherlands and low/middle-income countries, contributing to food security and safety through sustainable ruminant health management. Education : DVM (2007), Utrecht University MSc Veterinary Epidemiology and Economics (cum laude, 2009), Utrecht University PhD (2012), Utrecht University Diplomate, European College of Veterinary Public Health (2017) His team, Sustainable Ruminant Health , emphasizes preventive health strategies and translational research. He leads courses like the Prep Program for master's admissions, Basic Clinical Rotation in Farm Animal Health , and Small Ruminant Health . Scientific contributions include diagnostic test evaluation for mastitis, pathogen genomics , and decision support models integrating test data with farm-specific context. Awards include specialized certification in Veterinary Public Health (2017).

• Molecular Diagnostics
• Antimicrobial Resistance
• Point-of-Care Technologies
• +۶ مورد دیگر

Jesus Rodriguez Manzano is an Associate Professor in the Department of Infectious Disease at Imperial College London's Faculty of Medicine. He leads research in molecular diagnostics, antimicrobial resistance (AMR), and point-of-care technologies. His work focuses on developing innovative diagnostic devices and leveraging machine learning to enhance diagnostic accuracy and throughput. Dr. Rodriguez-Manzano is Deputy Director of the Centre for Antimicrobial Optimisation (CAMO) and co-founder/CSO of ProtonDx, a diagnostics company. Education: BSc in Biological Sciences, MSc in Advanced Microbiology, and PhD in Microbiology and Biotechnology (University of Barcelona). Postdoctoral research at Caltech (USA) and Imperial College London (UK). Research Interests: Point-of-care diagnostic platforms (e.g., SmartLid, Dragonfly) Machine learning-enhanced PCR multiplexing Host-response biomarker translation Single-molecule PCR mechanism analysis AMR surveillance and outbreak response Affiliations include the NIHR Health Protection Research Unit in HCAI and AMR, CAMO-Net Network, and the Digital Diagnostics for Africa Network. His work addresses global health challenges in resource-limited settings and pandemic preparedness. Grants/Advisory Roles: UK Expert Advisor to the Science and Technology Committee, WHO R&D Blueprint panelist, and NIHR HPRU lead. Over 100 peer-reviewed publications and 15 patent applications demonstrate his impact in diagnostic innovation. Labs/Teams: CAMO’s multidisciplinary team combines microbiology, bioengineering, and data science. Facilities include molecular labs, mass spectrometry, and sensor fabrication units.

• Veterinary Epidemiology
• Biosecurity
• Animal Disease Surveillance
• +۷ مورد دیگر

Dr. Suman Gupta is a Lecturer in Population Health and Epidemiology at the School of Agricultural, Environmental and Veterinary Sciences, Charles Sturt University, Wagga Wagga, Australia. He holds a DVM, MPH, and PhD in veterinary epidemiology from the University of Queensland, with a research focus on biosecurity, animal disease surveillance, and public health. He is affiliated with the Gulbali Research Institute and actively contributes to research and teaching in veterinary epidemiology and One Health. Doctor of Veterinary Medicine (D.V.M.), 2004 Masters in Public Health (MPH), 2014 PhD in Veterinary Epidemiology, 2020 Dr. Gupta’s research interests include veterinary epidemiology, zoonotic diseases, antimicrobial resistance, biosecurity, animal disease surveillance, public health, and One Health. He employs advanced modeling techniques such as risk factor modeling, infectious disease spread modeling, structural equation modeling, and spatial analysis using tools like R, STATA, ArcGIS, and NVivo. His work emphasizes practical, actionable solutions for disease prevention and control in both animal and human populations. His recent publications span topics including avian influenza, antimicrobial resistance, epilepsy burden, and novel vaccine development. These works reflect a strong trend in applying epidemiological modeling to zoonotic and infectious diseases, with a geographic focus on Bangladesh and the Asia-Pacific region. His research bridges veterinary science, public health, and digital innovation in disease surveillance. Best Higher Degree Research Paper 2020, UQ School of Veterinary Science Global Talent Recognition for Outstanding Academic and Professional Achievements, 2020 Nippon Foundation Scholarship, Japan Summa Cum Laude Distinction (Gold Medal) in MPH Asha Lata Dey Memories Student Scholarship Merit Scholarship for Academic Excellence Dr. Gupta has supervised PhD students as principal and co-supervisor and has contributed to teaching veterinary epidemiology, biosecurity, and public health. He has developed innovative educational tools, including a web-based FMD outbreak simulation for veterinary students and training materials for field veterinarians across the Asia-Pacific. He has also led training programs for biosecurity officers in collaboration with the Department of Agriculture, Fisheries and Forestry and CSU Biosecurity Training Centre. His research is supported by international collaborations with FAO, USAID, and other global health organizations. He is actively involved in the development of biosecurity training materials for diverse stakeholders including commercial and backyard poultry farmers, live bird market personnel, and community members. His work with the FAO advisory panel on avian influenza highlights his international recognition. He continues to lead research on diseases such as avian influenza, rabies, bluetongue, and Q fever, aiming to translate findings into policy and practice.

• Signal Processing
• Image Processing
• Remote Sensing
• +۹ مورد دیگر

JAVIER CALPE MARAVILLA is an Associate Professor in the Department of Electronic Engineering at the School of Engineering, University of Valencia, Spain. He is a key member of the Image and Signal Processing (ISP) research group and affiliated with the ERI Image Processing Laboratory (IPL). His work bridges academic research and industrial applications in electronics and signal processing. Research Interests: His research spans signal and image processing, remote sensing, hyperspectral imaging, machine learning for classification, biophysical parameter estimation, analog microelectronics, and sensor systems. He focuses on developing algorithms for cloud screening, vegetation stress detection, ECG signal analysis, and industrial sensing applications. The recent publications (2009–2021) highlight a strong trend in applying kernel methods, neural networks, and adaptive filters to remote sensing and biomedical signals. His work emphasizes practical implementations in industrial and environmental monitoring, including touchscreens, AOTF-based imaging, and low-power circuit design. Education: Ph.D. in Electronics, Universitat de València (1994), with thesis on spectral estimation techniques. Scientific Awards: Advising and Grants: While no explicit list of students or grants is provided, his academic rank and publication record suggest experience in supervising postgraduate research. He has contributed to educational curriculum development, particularly in analog microelectronics. No funding sources are mentioned in the text. Labs and Teams: He is actively involved in the ISP (Image and Signal Processing) research group and the ERI Image Processing Laboratory (IPL) at the University of Valencia, focusing on both theoretical and applied research in electronic systems and data analysis.

Rafi Ahmadمشاهده پروفایل

استاد

• Antimicrobial Resistance
• Bioinformatics
• Drug Discovery
• +۷ مورد دیگر

Rafi Ahmad is a Professor and Group Leader of the strategic research group B3 (Bioinformatics, Biodiscovery & Biorefinery) at the University of Inland Norway. He holds a BPharm from Jamia Hamdard (India), MSc in Bioinformatics from the University of Exeter (UK), and a PhD in Bioinformatics and Computational Chemistry from the Arctic University of Tromsø (Norway). His research focuses on antimicrobial resistance (AMR), rapid diagnostic technologies, and bioinformatics-driven solutions to global health challenges. He leads major projects like OH-AMR-Diag and UTI-Diag, funded by the Research Council of Norway (RCN) and international partners. Key affiliations include visiting professorships at the University of Southampton and the Arctic University of Tromsø. Education: BPharm (2000), MSc Bioinformatics (2001), PhD (2008). Postdoctoral work at the Norwegian Structural Biology Centre (2008-2011). Industrial roles at AstraZeneca and Medivir AB (2011-2015). Current roles include leadership in RCN projects (AMR-RADAR, ABR-Diag) and the NORSE network for One Health resistome surveillance. His team includes 30+ researchers across postdocs, PhDs, and technicians. Research interests span AMR mechanisms, rapid diagnostics, metagenomics, and machine learning applications. He supervises over 20 students and collaborates internationally on drug discovery and diagnostic innovation. Recent media coverage highlights his work on reducing antibiotic overuse through rapid testing (NRK news, Hamar Arbeiderblad). Grants include NOK 55M for ongoing projects. Labs focus on nanopore sequencing, SERS nanowire chips, and Voyager bioinformatics tools for pathogen detection. He is part of the RCN’s COST Action Management Committee (2020) and partners with Harvard and Indian institutions on AMR-Educate initiatives.

Nuno Cruzمشاهده پروفایل

دانشیار

• Marine Robotics
• Autonomous Vehicles
• Underwater Sensor Systems
• +۳ مورد دیگر

Nuno Cruz is an Associate Professor at the Faculty of Engineering of the University of Porto and Coordinator at the Centre for Robotics and Autonomous Systems at INESC TEC. He holds a MSc in Digital Systems Engineering (UMIST, UK) and a PhD in Electrical Engineering (University of Porto). His research focuses on marine robotics, autonomous vehicles, and underwater sensor systems. He has over 125 publications and 30 years of experience developing marine robotic vehicles like the Zarco/Gama ASVs and MARES/TriMARES AUVs. Research interests include adaptive sampling strategies for autonomous vehicles and energy-efficient underwater platforms. He is a Senior Member of IEEE Oceanic Engineering Society, chairs the Portuguese IEEE OES Chapter, and serves as Associate Editor for IEEE Journal of Oceanic Engineering. Recent work emphasizes underwater sensor calibration via sonar imaging, energy-saving control systems, and advancements in SMART cable technology. Supervised theses include multi-sensor fusion for marine vehicle docking and autonomous bathymetric mapping.