Steven Fenton is a Senior Lecturer and Subject Area Leader in Engineering at the Department of Engineering & Technology, School of Computing and Engineering, University of Huddersfield. He holds a 1st Class Honours degree in Electronic & Information Engineering from the University of Huddersfield and has extensive industry experience in audio engineering, DSP, and embedded systems design. Current research focuses on low power systems, remote health monitoring, audio signal processing, and immersive audio technology. Active member of the Audio Engineering Society and Centre for Audio and Psychoacoustic Engineering. His work spans audio quality measurement , dynamic range optimization , and assistive technologies for the visually impaired. Recent publications highlight innovations in immersive audio mixing and ultra-low energy distributed monitoring systems. Scientific contributions include a Fellow of the Higher Education Academy and an h-index of 67. Available for PhD supervision in engineering and audio technology domains.
André Bussières is an Assistant Professor at the School of Physical and Occupational Therapy at McGill University and a Full Professor in the Chiropractic Department at the Université du Québec à Trois-Rivières (UQTR). He holds a PhD in Population Health from the University of Ottawa and has advanced training in kinesiology, chiropractic, and clinical sciences. His academic roles reflect a strong commitment to interdisciplinary research and education in musculoskeletal health and rehabilitation. BSc (Nursing), Université de Montréal (1987) DC, Canadian Memorial Chiropractic College (1991) Fellowship in Clinical Sciences, Toronto (1993) MSc (Kinesiology), Université du Québec à Trois-Rivières (2008) PhD (Population Health), University of Ottawa (2012) Dr. Bussières’ research is centered on knowledge translation and implementation science, with a focus on clinical practice guidelines, systematic and scoping reviews, and strategies to improve professional behavior and evidence uptake in chiropractic and primary care. His work aims to bridge the gap between research and clinical practice, particularly in musculoskeletal health. He has led major initiatives such as the Canadian Chiropractic Guideline Initiative (2012–2018) and has contributed extensively to evidence-based policy and education. The 15 most recent publications highlight a consistent focus on guideline implementation, pain management, diagnostic accuracy, and educational interventions. These works span clinical, educational, and policy domains, utilizing methodologies such as systematic reviews, scoping reviews, consensus methods, and randomized trials. The recurring themes include knowledge translation, professional behavior change, and the optimization of care for spine and musculoskeletal conditions. Scientific awards and recognitions include: Canadian Chiropractic Research Foundation (CCRF) Professorship in Rehabilitation Epidemiology Dr. Bussières has served in editorial roles for leading journals including the Journal of the Canadian Chiropractic Association, BMC Health Service Research, and Chiropractic & Manual Therapies. He has led federally supported research projects and knowledge translation initiatives, often in collaboration with national and international networks. His work has influenced clinical education and practice standards in chiropractic and rehabilitation fields. He was in private practice from 1993 to 2007, grounding his research in real-world clinical experience. He is actively involved in research teams focused on chiropractic practice-based research networks (PBRNs), pain education reform, and the development of evidence-based tools for diagnostic imaging and treatment. His leadership in consensus-building and guideline development underscores his role as a key figure in advancing evidence-informed care in musculoskeletal health.
Lluis Pesquer Mayos is a researcher in the Department of Geography specializing in remote sensing and geospatial data analysis. His work focuses on satellite imagery processing and environmental monitoring applications, particularly in the Iberian Peninsula context. Research Profile Expertise in Landsat and MODIS satellite data processing Specialization in time series analysis and radiometric correction Development of automatic selection algorithms for high-quality imagery Contributions to OGC Web Services and geospatial metadata standards Dr. Pesquer's recent publications (2019-2021) demonstrate an interdisciplinary approach bridging Environmental Science, Computer Science, and Geography. His research shows consistent focus on methodological improvements for satellite data analysis, particularly regarding image quality assessment, data compression, and ecosystem monitoring. The work has practical applications in land cover change detection and sustainable resource management. Research Projects Global Change Analysis in the Iberian Peninsula (2016-2018) Geographic Information Technologies for Sustainable Agriculture (2011-2013) Scalable Compression of Massive Geospatial Images (2010-2012) His scholarly impact is evidenced by citations across multiple publications (1-11 Scopus citations per work) and readership across academic platforms including Mendeley (9-26 readers per publication).
Glenn Van Wallendael is an Associate Professor at Ghent University's Faculty of Engineering and Architecture , affiliated with the Department of Electronics and Information Systems . He leads research in video coding, digital watermarking, and immersive media technologies. Academic Focus: Video compression standards (HEVC, H.266), AI for multimedia, virtual reality Key Collaborations: iMinds, imec, European research consortia Research Interests include: Video compression algorithms (HEVC, SVC, MV-HEVC) Digital watermarking for copyright protection Machine learning applications in image/video analysis Quality of Experience (QoE) in immersive environments Recent Publications (2024-2025) show expertise in: Deepfake detection using vision transformers Medical image landmarking tools Lightweight geometric approximation methods AI-driven video quality assessment Doctoral Mentorship includes supervising: 2021: Hannes Mareen (video forensics) 2020: Vasileios Avramelos (light field coding) 2017: Johan De Praeter (adaptive video encoding)
Dr. Hielke Freerk Boersma is a Radiation Protection Expert at the University of Groningen (RUG), affiliated with the Arbo en Milieudienst (AMD) and leading the Radiation Protection Unit (SBE). He coordinates radiation protection courses through the Groningen Academy for Radiation Protection (GARP), which serves RUG, UMCG, Hanzehogeschool, and external organizations. His roles include: Head of GARP & Radiation Protection Unit NVS Chapter Coordinator for Suriname/Dutch Caribbean Member of IRPA Executive Council (International Radiation Protection Association) National Contact Point for EUTERP (European radiation protection training) Research focuses on radiation protection infrastructure, nuclear physics, and environmental radiation safety. He teaches radiation safety courses integrated into biomedical engineering and radioisotope programs. Notable administrative roles include: Refresher Committee Member (NVS) BEBO Foundation Ethics Advisor NRG Continuing Education Committee Member His research spans nuclear matter theory, superheavy nuclei calculations, and environmental acoustics. He has published in Journal of Radiological Protection and Physical Review C , addressing challenges in radiation protection for developing countries and nuclear structure dynamics.
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 .
Dr. Feng Fu is a Senior Lecturer at the School of Mathematics, Computer Science and Engineering , City, University of London. He serves as Editor-in-Chief of the Proceedings of the Institution of Civil Engineers - Structures and Buildings and holds leadership roles in professional organizations like the Institution of Structural Engineers and American Society of Civil Engineers (ASCE). His career blends academic research, industry consultancy, and code development, including contributions to ASCE standards on blast protection and disproportionate collapse mitigation. MSc in Software Engineering (University of Oxford), MBA (University of Manchester), PhD in Structural Engineering (University of Leeds), and BSc/MSc in Structural Engineering (Beijing University of Technology). Worked at WSP Group Ltd, Waterman Plc, and Beijing Institute of Architectural Design and Research, contributing to iconic projects like The Shard and Nakheel Tower. His research focuses on progressive collapse , structural fire analysis , tensegrity structures , and steel composite joints , with recent interdisciplinary work on machine learning and IoT applications in structural design. He has authored 160+ peer-reviewed papers, four books, and developed the first numerical procedure for progressive collapse analysis used in major projects. The 15 most recent articles span diverse topics including biomaterials for diabetic wound healing , seismic performance of composite structures , advanced sensors for structural monitoring , and multi-hazard analysis , reflecting his interdisciplinary expertise. Scientific Awards : Excellence in Teaching (2016), IStructE Young Researchers' Competition (2005), WUN Award (2003). Fellowships : Institution of Structural Engineers (2019–present), American Society of Civil Engineers (2020–present), Institution of Civil Engineers (2020–present), Higher Education Academy (2012–present). He supervises research students working on topics like progressive collapse under multi-hazards , FRP-reinforced concrete , and machine learning applications in structural analysis . His lab collaborates on international projects, including EU-funded initiatives and multi-institutional studies on structural resilience.
Iraklis Varlamis is a Professor in Data Management at Harokopio University of Athens (HUA). He contributes to Data Science and Artificial Intelligence Cloud and Edge Systems Information Systems Management Digital Transformation and teaches courses in these domains. His research interests span AI applications across healthcare, security, and education, with a focus on Digital Twin technologies Federated Learning Educational Robotics Anomaly Detection . Recent work integrates LLMs for fake news detection and robotics task execution. Key publication trends highlight interdisciplinary efforts in Medical data analysis Edge AI Secure data systems Continual learning .
Nitin Gupta is a researcher with affiliations spanning institutions like Google, Cornell University, and Carnegie Mellon University. His work bridges theoretical and applied computer science, focusing on database systems, data-driven applications, and knowledge graphs. Research interests include: Structured data on the web and semantic publishing Scalability in virtual environments and declarative programming Integration of large language models (LLMs) into scholarly workflows FAIR data principles and research data management Recent publications explore hybrid question answering datasets, LLM applications for literature reviews, and knowledge graph construction for software engineering. His contributions emphasize machine-actionable metadata, open science, and enhancing reproducibility through standardized research artifacts. Collaborations span institutions and disciplines, with coauthorships on topics like: Game development and data coordination Non-invasive brain stimulation analysis Neuro-symbolic approaches for digital libraries Ontology matching and FAIR digital objects
Irena Bagińska is a Researcher at the Department of Mining within the Faculty of Geoengineering, Mining and Geology at Wrocław University of Science and Technology. Her work focuses on geotechnical engineering applications in mining, particularly landslide hazard assessment, soil mechanics, and mine waste management. She utilizes advanced field testing methods like CPTu and SCPTu for soil characterization and foundation design. Primary Affiliation: Wrocław University of Science and Technology Faculty: Faculty of Geoengineering, Mining and Geology Department: Department of Mining Email: irena.baginska@pwr.edu.pl Research trends include: Reliability analysis of structures (sheet pile walls, retaining walls, piles) in spatially variable soils Integration of CPTu and SCPTu data for soil strength and filtration coefficient estimation Comparative studies of static (CPTu) and dynamic (DPH) testing methods Application of probabilistic and kinematic approaches to mining waste dumps and slope stability Case studies on Polish mining infrastructure like the Żelazny Most tailings facility Labs & Teams: Affiliated with the Department of Mining, contributing to geotechnical research and Eurocode 7 compliance studies in Polish mining contexts.
Dr. Lauren Boreta serves as an Assistant Professor in the Department of Radiation Oncology at the University of California, San Francisco (UCSF), where she leads the Palliative Radiation program, serves as Associate Director for Quality Assurance/Improvement, and acts as Assistant Residency Program Director. Her clinical expertise focuses on radiation for palliation of advanced cancer and treatment of central nervous system malignancies using stereotactic radiotherapy, radiosurgery, and intensity-modulated radiation therapy. Her educational journey includes a BA in Human Biology from Stanford University (2006), an MD from UCSF (2014), an Internal Medicine internship at Kaiser Permanente San Francisco (2015), and Radiation Oncology residency at UCSF (2015-2019) where she served as Chief Resident (2017-2018). Dr. Boreta's research centers on optimizing palliative radiation efficacy, addressing cancer-care disparities, and improving management of CNS metastases. She investigates stereotactic radiosurgery outcomes for brain metastases, particularly in breast cancer and melanoma, while exploring machine learning applications for predicting acute care needs and integrating multidisciplinary oncology rounding models for advanced cancer patients. Her recent publications demonstrate strong trends in brain metastases management, with emphasis on molecular profiling, spatial radiation targeting, and personalized therapy approaches. The work consistently addresses disparities in cancer care access and outcomes while advancing technical aspects of stereotactic radiation delivery. Dean’s Summer Research Fellowship (2011) Young Physician’s Award for Patient Safety – Lucian Leape Institute (2013) Alpha Omega Alpha Medical Honor Society (2014) As Assistant Residency Program Director and Chief Resident during training, Dr. Boreta actively contributes to medical education and quality improvement. Her leadership in the Palliative Radiation program focuses on optimizing symptom relief for advanced cancer patients through timely radiation interventions, while her quality assurance role enhances departmental clinical standards. Dr. Boreta co-founded the "Cancer Co-Rounds" multidisciplinary inpatient model integrating medical oncology, neuro-oncology, and radiation oncology for complex cancer cases, demonstrating her commitment to innovative team-based care for patients with advanced disease.
Andrzej Bień, PhD, DSc, Eng., is a university professor at AGH University of Science and Technology in Kraków, Poland, serving within the Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering and specifically the Department of Power Electronics and Automation of Energy Conversion Systems . He is a member of the College of his faculty and is based at building B-1, room 120. Research Interests: Prof. Bień’s work revolves around advanced power-quality metrology , smart-grid instrumentation , and renewable-energy integration . He develops measurement techniques for harmonic analysis, islanding detection, and power system diagnostics, employing digital signal processing, embedded systems, and novel sensor technologies. His investigations span from laboratory validation of phasor-based methods to field studies on icing detection for high-voltage lines. Publication Trends: From 2020 to 2024 his output reflects a strong focus on smart-grid data analytics, PMU-based monitoring, and the impact of harmonics on metering accuracy. Earlier work (2002–2019) concentrated on flickermeter design, power theory under non-sinusoidal conditions, and hardware for non-invasive voltage measurement, illustrating a continuous evolution toward cyber-physical energy systems. Scientific Contributions & Awards: Although no specific awards are listed, Prof. Bień has contributed numerous patents (e.g., optoelectronic cables, galvanically isolated current sensors) and has been instrumental in the development of IEC-compliant flickermeters and power-quality analyzers. Contact: Email: abien@agh.edu.pl Web: http://home.agh.edu.pl/~abien/ Phone: +48 12 617 28 57
Huseyin Kocak is a Professor at the University of Miami in the College of Arts and Sciences with a joint appointment in Mathematics and Computer Science. His scholarly work bridges theoretical mathematics with practical applications in data compression and security, establishing him as a significant contributor to both computational mathematics and applied computer science. Dr. Kocak's research program encompasses several interconnected domains of computational science: Advanced data compression techniques for medical imaging and color photography Integration of encryption protocols within compression algorithms Mathematical modeling of dynamical systems and chaos phenomena Development of specialized algorithms for medical diagnostics and genomic analysis Theoretical foundations of differential and difference equations with biological applications Analysis of Dr. Kocak's publication trajectory reveals a strategic evolution from fundamental mathematical research toward increasingly applied computational techniques. His early work focused on rigorous theoretical problems in dynamical systems, particularly homoclinic orbits in differential equations as evidenced by his 2021 publication on Shilnikov Saddle-Focus Homoclinic Orbits. More recently, his research has centered on solving critical healthcare challenges through innovative computational approaches, with his 2025 paper addressing FDA compliance requirements for medical image compression. His most significant contribution appears to be the development of BWIC (Burrows-Wheeler Inversion Coder), which demonstrates superior performance compared to industry standards like JPEG 2000 across multiple image types, particularly for medical applications where data integrity is paramount. Dr. Kocak's scholarly impact extends beyond pure compression research through his innovative work combining security with compression efficiency. His concurrent encryption approach, which uses the inversion frequency vector as a secure key, represents a paradigm shift in how data security is implemented within compression pipelines, offering substantial computational savings while maintaining robust security.
Dr. Mohsen Besharat serves as an Associate Professor in the School of Civil Engineering within the Faculty of Engineering and Physical Sciences at the University of Leeds. He leads three undergraduate programmes (Civil Engineering, Civil and Environmental Engineering, and Civil and Structural Engineering) and teaches core modules in the MSc programmes Water, Sanitation and Health (WASH) and Environmental Engineering and Project Management (EEPM), engaging with a diverse international student cohort. His academic qualifications include: Bachelor of Science in Civil Engineering Master of Science in Civil Engineering, specialising in Hydraulic Structures Doctor of Philosophy from Instituto Superior Técnico, University of Lisbon, focusing on pressure surge control in two-phase flows and compressed air energy storage systems Dr. Besharat's research integrates three core themes: Computational Hydraulics : Investigating two-phase transient flows, air-entrapment dynamics, and protective devices through advanced numerical modeling and experimental studies, including development of the TI-CAES energy storage concept. Digital Solutions : Designing AI-driven predictive systems and digital twin frameworks for real-time water infrastructure management, with applications in contamination forecasting and transient flow prediction. Engineering Education : Innovating authentic assessment models and virtual reality integration to enhance civil engineering pedagogy and student outcomes. Analysis of his recent publication portfolio reveals a strong trajectory toward sustainable water infrastructure solutions, with increasing integration of artificial intelligence and digital twin technologies. His work consistently addresses transient flow phenomena while expanding into energy recovery systems and educational methodologies, reflecting an interdisciplinary approach to modern engineering challenges. As Programme Leader for undergraduate programmes and module coordinator for MSc courses, Dr. Besharat oversees curriculum development to meet professional accreditation standards while fostering industry-aligned educational experiences. He actively collaborates with research groups including Water, Public Health and Environmental Engineering; Sustainable and Resilient Infrastructure; Energy Leeds; and Artificial Intelligence. His professional affiliations include the Institution of Civil Engineers (ICE), American Society of Civil Engineers (ASCE), and International Association for Hydro-Environment Engineering and Research (IAHR), supporting his commitment to advancing global civil engineering practice through research and education.
Dr. Alan Blair is a Senior Lecturer at the School of Computer Science and Engineering, University of New South Wales. His research spans artificial intelligence, machine learning, and neural networks, with applications in medical imaging, evolutionary computation, and cybersecurity. Key research areas: Artificial Intelligence, Machine Learning, Neural Networks, Evolutionary Computation, Medical Imaging, Computational Linguistics Recent publications focus on reinforcement learning for medical diagnosis, dialogue act tagging, and phishing detection using feature-free tools. Collaborations include work with Sowmya A, Iyer S, and Dawes L on 3D organ localization and fracture detection in CT scans. Blair's work integrates hybrid neural-logical reasoning models for visual question answering and hierarchical evolutionary algorithms for optimization tasks. He has contributed to adversarial image generation and game theory applications.
