جست‌وجوی استاد و پژوهشگر

• Intelligent Transport Systems
• Location-Based Services
• Software and Hardware Integrated Navigation Systems
• +۷ مورد دیگر

Saleh Hadi Mohammed is an Associate Professor at the Faculty of Computer Science , National Research University Higher School of Economics (HSE), where he has worked since 2015. With over 10 years of academic experience, his expertise spans software engineering, blockchain systems, and intelligent transport technologies. Candidate of Technical Sciences (2013) Engineer in 'Computers, Complexes, Systems and Networks' (2008) Professional training in Moodle-based distance learning Research interests include: Intelligent transport systems and location-based services Software/hardware navigation integration and blockchain applications Cloud services, mobile app development, and MLOps platforms His recent publications analyze MLOps scalability, blockchain donation tracking, and AI-driven navigation for visually impaired users. Notable collaborations involve Springer, IEEE, and CEUR Workshop Proceedings. Scientific awards : Gratitude from HSE Faculty of Computer Science (2024) As a thesis supervisor , he has guided 15+ students in projects ranging from fraud detection to mobile education apps. He also leads SmartMLOps , HSE’s AI service deployment platform (2024), and participated in the Administrative Personnel Reserve Program (2024-2025).

• Operating System Verification
• Formal Methods
• Software Security
• +۷ مورد دیگر

Alexander Konstantinovich Petrenko is a Professor at the Faculty of Computer Science of the National Research University Higher School of Economics (HSE), where he has been working since 2009. He serves as the Academic Director of the educational program 'System Programming' and is affiliated with the Basic Department 'System Programming' of the Institute for System Programming named after V.P. Ivannikov of the Russian Academy of Sciences (ISP RAS). With 42 years of scientific and teaching experience, he holds a Doctor of Physical and Mathematical Sciences degree (2004) and was awarded the academic title of Professor in 2011. His research focuses on verification and validation technologies, formalization of interface standards, and free software/open standards. His work primarily centers on operating system security, formal methods in software engineering, and system programming. He has made significant contributions to runtime verification of operating systems, access control models, and security policy integration. Professor Petrenko's publication record demonstrates a consistent focus on formal methods for operating system verification, with recent work emphasizing security by design principles, dynamic verification techniques, and integration of multiple security models (RBAC, MIC, MLS). His research bridges theoretical computer science with practical applications in system security and reliability. Letter of thanks from the Vice-Rector of HSE (November 2021) Gratitude from the Faculty of Computer Science of HSE (August 2017) With extensive experience across multiple institutions including the Keldysh Institute of Applied Mathematics (1974-1994), the Institute of System Programming of the Russian Academy of Sciences (since 1994, as head of the Department of Programming Technologies since 2004), and Moscow State University (since 1999, as professor since 2004), Professor Petrenko has established himself as a leading expert in system programming and formal verification. He has contributed significantly to educational programs in software engineering that recently achieved professional accreditation. His work spans both theoretical foundations and practical applications in system security, with strong connections to industry needs through his involvement with the Institute for System Programming and collaborations on real-world security challenges.

Erik van Nimwegenمشاهده پروفایل

استاد

• Gene Regulatory Networks
• Genome Evolution
• Computational Biology
• +۵ مورد دیگر

Prof. Dr. Erik van Nimwegen is a Professor at the Biozentrum of the University of Basel, where he leads a research group focused on computational and systems biology. His laboratory is housed in Room 08.012 at the Biozentrum, with contact information including phone number +41 61 207 15 76 and email erik.vannimwegen@unibas.ch. His administrative support is provided by Rita Ruppen and Jonila Vladi. Van Nimwegen's research centers on understanding the function and evolution of genome-wide regulatory networks. His group investigates how cells control gene expression using both theoretical and experimental methods, with particular interest in deciphering the genome's regulatory code, analyzing gene expression dynamics from single cells to genome-wide regulatory programs, and uncovering quantitative laws of genome evolution. His interdisciplinary approach combines computational predictions with experimental data to model regulatory networks across organisms from E. coli to humans. His work has significant implications for understanding cellular behavior, developing evolutionary theory based on measurable quantities, and potential applications ranging from taming pathogens to engineering human tissue. Analysis of his recent publications reveals a consistent focus on gene regulatory networks, with increasing emphasis on single-cell analysis, computational modeling of biological systems, and the evolutionary aspects of gene regulation. His work spans bacterial systems (particularly E. coli) to higher eukaryotes, with recent publications showing expansion into visualization techniques for single-cell data, cancer research related to RNA processing, and even virology with work on COVID-19 origins. A notable trend is the integration of multiple data types (multiomics) and the development of sophisticated computational tools for analyzing complex biological systems. Van Nimwegen's group has developed numerous software tools and web services for regulatory and comparative genomics, including ISMARA (Integrated System for Motif Activity Response Analysis), CRUNCH (for ChIP-seq data analysis), SwissRegulon database, Phylogibbs, and others. These resources reflect his commitment to creating practical tools that advance the field of computational biology. His laboratory operates as an interdisciplinary team with researchers from diverse backgrounds including theoretical physics, computer science, and molecular biology. The group actively recruits postdocs and engineers, as evidenced by a 2018 posting seeking researchers for computational analysis of bioimages. His work has established important theoretical frameworks for understanding gene regulatory networks and their evolution, with significant contributions to the field of systems biology.

Paride Azzariمشاهده پروفایل

پژوهشگر

• Food Processing
• Biophysics
• Soft Matter Physics
• +۳ مورد دیگر

Dr. Paride Azzari is a researcher in the Sustainable Food Processing group at ETH Zurich , focusing on interdisciplinary approaches at the intersection of food science, biophysics, and soft matter physics. His work emphasizes scalable and sustainable bioprocessing techniques, particularly for microalgae and plant-based proteins. Key Research Areas : Pulsed electric field processing, liquid-liquid crystalline phase separation, and viscoelastic material behavior. Methodologies : Multiphysics simulations, experimental rheology, and open-source software development (e.g., Extrudion for tensile testing analysis). Recent publications highlight his contributions to optimizing biocompound extraction, understanding amyloid fibril organization, and advancing environmental bioremediation using agricultural waste. Notably, his work bridges fundamental soft matter research with industrial food processing applications.

Earl T. Barrمشاهده پروفایل

استاد

• Software Engineering
• Program Analysis
• Type Systems
• +۶ مورد دیگر

Earl T. Barr is a Professor of Software Engineering at University College London (UCL), where he heads the System Software Engineering Group and is a member of the Centre for Research on Evolution, Search and Testing (CREST). His academic journey began with a Ph.D. in Computer Science from the University of California, Davis in 2009, after which he joined UCL as faculty. His research spans multiple domains within software engineering, with particular focus on program analysis, type systems, automated program repair, and the emerging field of dual channel analysis that examines the interplay between natural language and formal programming language in source code. Barr's work on the 'naturalness of software' has been influential in understanding how code differs from natural language while exhibiting statistical regularities. Barr's publication record shows a strong trend toward integrating machine learning with traditional software engineering techniques, particularly in type inference (Typilus), program repair, and code understanding. His recent work increasingly focuses on dual channel analysis, exploring how the natural language elements in code (identifiers, comments) interact with the formal programming language to create a richer communication channel for developers. MSR 2019 Most Influential Paper Award Multiple ACM SIGSOFT Distinguished Paper Awards Best Paper Award at IEEE Conference on E-Commerce Technology (2005) Barr actively supervises numerous Ph.D. students and postdocs, with current projects focusing on dual channel program analysis, AI for code, and software security applications. He has established long-term collaborations with researchers at institutions including Royal Holloway and the University of Luxembourg. His teaching portfolio at UCL includes core courses in Malware, Compilers, and Validation and Verification, reflecting his broad expertise across the software engineering spectrum. Barr leads the System Software Engineering Group at UCL, which focuses on practical applications of software engineering research with strong connections to industry problems. The group's work bridges theoretical foundations with real-world software development challenges, particularly in the areas of program analysis and automated software maintenance.

Michelle Hampsonمشاهده پروفایل

استاد

• Functional Neuroimaging
• Real-Time fMRI
• Neurofeedback
• +۴ مورد دیگر

Michelle Hampson is a Professor of Radiology & Biomedical Imaging at Yale School of Medicine. She holds secondary appointments as an Associate Professor in the Child Study Center and Psychiatry departments, and directs real-time fMRI research at Yale's Bioimaging Sciences Division. Undergraduate: Computing Science, University of Alberta (1993) PhD: Cognitive & Neural Systems, Boston University (1999) Her research focuses on real-time fMRI neurofeedback for clinical populations, particularly targeting disorders like tic disorders, OCD, PTSD, borderline personality disorder, and autism. Key technical interests include resting-state functional connectivity analysis and neuroimaging data harmonization across scanners. Recent publications highlight clinical trials for Tourette Syndrome neurofeedback (2023), OCD treatment (2023), and Parkinson's disease interventions (2022), alongside foundational work on ethical frameworks for neurofeedback (2021) and technical tools like HALO for MR scanner alignment (2022). Her studies frequently appear in Translational Psychiatry , NeuroImage , and Biological Psychiatry . Collaborators include Dustin Scheinost (Yale MR Core), Denis Sukhodolsky (Child Study Center), John Krystal (Psychiatry), and Michael Bloch (Yale Pediatrics). She leads the Hampson Lab, which develops novel brain imaging paradigms combining resting-state analysis with neurofeedback interventions.

Marc Chevretteمشاهده پروفایل

استادیار

• Natural Product Discovery
• Genome Mining
• Microbial Interactions
• +۴ مورد دیگر

Marc Chevrette serves as an Assistant Professor and Discovery Fellow in the Department of Plant Pathology at the University of Wisconsin–Madison's College of Agricultural and Life Sciences, with laboratory operations based in the Discovery Building. His interdisciplinary research bridges genomics, bioinformatics, and microbiology to investigate microbial secondary metabolism and interspecies interactions within complex communities. Education: PhD in Genetics, University of Wisconsin–Madison Dr. Chevrette's research program centers on evolutionary-guided natural product discovery, specializing in genome mining for novel antibiotics and biosynthetic pathway characterization. His lab develops computational tools like GATOR-GC to map biosynthetic diversity across bacterial lineages, with particular emphasis on lasso peptides, nonribosomal synthetases, and microbial community dynamics. This work integrates phylogenetics with experimental validation to uncover chemical ecology principles driving secondary metabolism. Analysis of his 2023-2025 publications reveals consistent innovation in bioinformatics infrastructure (antiSMASH, MIBiG) and machine learning applications for substrate specificity prediction. His research demonstrates strong translational potential for antimicrobial discovery, with recurring themes of evolutionary adaptation in biosynthetic gene clusters and community-mediated metabolite regulation. Scientific Awards: Discovery Fellow (Wisconsin Institute for Discovery) Dr. Chevrette directs an active research group supported by federal grants focused on antibiotic discovery and microbial ecology. His mentorship includes training graduate students in interdisciplinary methodologies spanning computational biology, microbial genetics, and natural product chemistry, with emphasis on translating genomic insights into experimental validation. The Chevrette Lab operates within the Wisconsin Institute for Discovery, leveraging its collaborative environment to integrate genomic data with ecological modeling. Current projects investigate how nutrient availability and interspecies competition shape biosynthetic potential in soil and marine microbial communities, with implications for drug discovery pipelines.

• Requirements Engineering
• Web Engineering
• Artificial Intelligence
• +۹ مورد دیگر

Luisa Mich is an Associate Professor in the Department of Industrial Engineering at the University of Trento, Italy, holding this position since 2002 after progressing from Research Fellow (1983-1987) to Researcher (1988-2001). She teaches Enterprise Information Systems, Tourism Information Systems, and Web Strategies across multiple departments including Economics, Humanities, and Mathematics, while pioneering ICT integration at the university since 1989. Education: PhD in Physics, University of Trento (1983), thesis: "Theory and experimentation on interaction in human systems" Scientific High School Diploma, Marcelline Institute, Bolzano (1976) Her research centers on Requirements Engineering innovations including the award-winning 7Loci meta-model for web presence strategy and enhanced creativity techniques surpassing traditional brainstorming. Current work integrates Natural Language Processing with legal document analysis and web reputation monitoring, demonstrating strong interdisciplinary connections between computer science, tourism management, and semantic technologies. Recent publications (2022-2025) reveal a decisive shift toward AI-driven business process development and tourism applications, with semantic technologies bridging legal compliance and requirements engineering. Key trends include agentic AI systems, optimized creativity techniques for requirements elicitation, and ontology-based personalization frameworks – all addressing practical challenges in destination management and customer experience. Scientific Recognition: While lacking major prizes, her expertise is validated through editorial board roles (Journal of Information Technology & Tourism, Journal of e-Learning) and leadership in professional societies including ACM, IEEE, and IFITT. Advising and Grants: Mich has supervised approximately 100 theses across scientific and humanities disciplines, including doctoral programs in Information Technology and Materials Science. Her grant leadership includes the European WEE-NET project (2005-2008) establishing Web Engineering networks and Papyrus (2008-2010) for cultural digital libraries, alongside consultancy for tourism boards like Suedtirol and Visit Trentino. Research Infrastructure: She co-founded Trento's Department of Information and Communication Technology and directed the Computer Science and Organisations program. Her ECDL certification initiative (1998-2010) became Italy's first university-adopted ICT certification, while her "ICT and tourism" research group drives destination management innovations through the Trentino Tourism System.

• Laser Technologies
• Optoelectronics
• Electrical Engineering
• +۴ مورد دیگر

Christina Ivanova Deneva is a lecturer at the Technical University - Gabrovo, specializing in laser technologies and electrical engineering. Her work focuses on laser processing applications for electrical steel used in stator and rotor packages for electric motors, with significant contributions to laser cutting, marking, and welding technologies. Her research interests span Laser Technologies , Optoelectronics , and Materials Processing , with particular emphasis on process optimization for industrial laser applications. She has developed specialized training modules for the Master's Curriculum "Optoelectronics and Laser Technology" and has conducted extensive research on temperature field analysis during laser processing using software tools like Temperaturfeld3D and Mathcad. Analysis of her publication record shows a consistent focus on laser-material interactions, particularly with electrical steel. Her work demonstrates expertise in both theoretical modeling (finite element method) and experimental validation of laser processing parameters. She has also contributed to educational technology through research on interactive teaching methods using interactive boards. Dr. Deneva has participated in multiple research projects including the 2011 "PROCESS OPTIMIZATION LASER MARKING OF STATOR PACKAGES FOR ELECTRIC MOTORS" and two international ERASMUS Summer Schools on "INNOVATIVE LASERTECHNOLOGIES" in 2011 and 2012. Her collaborative work with colleagues like L. Lazov and N. Angelov has resulted in numerous publications in both international conferences and journals. Her teaching activities include developing physics laboratory materials and implementing modern teaching methods with interactive technology. She maintains an active research profile with publications spanning from 2011 to 2013, showing continued engagement in both technical research and educational innovation.

Nour Aliمشاهده پروفایل

استاد

• Software Engineering
• Software Architecture
• Adaptive Systems
• +۳ مورد دیگر

Dr. Nour Ali serves as a Professor and Vice-Dean of Education in the College of Engineering, Design and Physical Sciences at Brunel University London, where she co-heads the Brunel Software Engineering Lab. With a PhD in Software Engineering from Universidad Politecnica de Valencia and a Computer Science degree from Bir-Zeit University, she brings extensive international experience from previous positions at University of Brighton, Lero (Irish Software Engineering Research Centre), and Politecnico di Milano. PhD in Software Engineering, Universidad Politecnica de Valencia, Spain Major in Computer Science, Bir-Zeit University, Palestine PG Certificate in Teaching and Learning in Higher Education, University of Brighton Fellow of the Higher Education Academy (HEA) Her research focuses on developing software architecture techniques for distributed, mobile, and adaptive systems, with particular expertise in microservice architecture recovery and visualization. With over 70 publications spanning two decades, her work bridges theoretical architecture principles with practical implementation challenges. Recent research demonstrates a strong focus on microservice architecture recovery tools like MiSAR and analysis of service granularity adaptation. Dr. Ali has made significant contributions to the software engineering community through editorial roles including Deputy Editor in Chief of IET Software, committee memberships for major conferences like ICSE and ASE, and reviewer positions for EPSRC and other funding bodies. Her publications reveal consistent contributions across architecture consistency, microservice systems, and adaptive requirements engineering, with recent work increasingly focusing on practical tool development for architecture recovery. External Examiner, York St John University (2021-2025) Deputy Editor in Chief, IET Software Committee member for ICSE, ASE, EASE, ICSA, MOBILESoft conferences EPSRC Full College Member (2018-present) Reviewer for Dutch Research Council (NWO), UK UNESCO Newton Prize As an educator, Dr. Ali leads CS3100 Software Project Management and contributes to multiple undergraduate and postgraduate courses. Her teaching philosophy integrates research insights with practical software engineering skills, supported by her PG Certificate in Teaching and Learning and HEA Fellowship. She actively supervises PhD students and contributes to curriculum development as Vice-Dean of Education for her college.

• Signal Processing
• Machine Learning
• Computer Engineering
• +۳ مورد دیگر

Ehsan Namjoo serves as a Research Fellow in the Department of Electronics & Computer Engineering at the University of Limerick, with a primary affiliation at Lero – the Irish Software Research Centre. His multidisciplinary work bridges theoretical signal processing, machine learning applications, and hardware implementation for real-world systems. His research spans signal processing (DOA estimation under non-ideal noise conditions, EEG source imaging), machine learning (explainable AI for medical diagnostics, feature selection in cancer detection), and computer engineering (polar code decoders, visible light communication systems). Notable biomedical applications include breast cancer diagnosis and epileptic source analysis, while cybersecurity work focuses on intrusion detection in cloud environments. Recent publications (2021-2025) reveal a consistent trajectory toward developing lightweight, interpretable models for tabular medical data alongside robust signal processing frameworks for communication systems. His work increasingly integrates hardware-aware algorithms, particularly in polar coding implementations, and emphasizes practical validation through experimental demonstrations in visible light networks. As an active Lero researcher, Namjoo participates in Ireland's national software research ecosystem, contributing to interdisciplinary projects that connect theoretical innovations with healthcare, communications, and security applications through collaborative frameworks.

Xavier Devroeyمشاهده پروفایل

استادیار

• Software Testing
• Search-Based Software Engineering
• Software Variability
• +۵ مورد دیگر

Xavier Devroey is an Assistant Professor of Software Engineering at the University of Namur in Belgium. He co-leads the SNAIL Team with Benoît Vanderose, focusing on innovative approaches to software testing and automation. His work bridges academic research with practical applications in the software engineering community. His educational background includes a Ph.D. and Master's in Computer Science from the University of Namur, plus a Bachelor's in Analyst Programming from Haute Ecole de Bruxelles, Belgium. This comprehensive academic training informs his research and teaching approach. Devroey's research interests center on Software Testing , with particular emphasis on Search-Based Software Engineering and Software Variability . His specific focus areas include: Search-Based Testing and Fuzzing Model-Based Testing Mutation Testing Variability Modeling Software Product Line Testing Test suite augmentation DevOps integration These interests reflect his commitment to advancing automated approaches for test case design, generation, selection, and prioritization. His recent publication portfolio (2019-2025) demonstrates consistent contributions to software testing research, with particular focus on crash reproduction, API testing, and innovative approaches to test automation. The articles reveal a strong emphasis on practical applications of search-based techniques across various testing domains. Devroey maintains active engagement with the academic community through conference participation, having served on program committees for major software engineering conferences including ASE, ICSE, ISSTA, and ICST across multiple years (2019-2025). He also contributes to educational aspects of software engineering, with publications examining testing education approaches and tools for programming exercise assessment. His personal website (xdevroey.be) and GitHub profile demonstrate his commitment to open academic practices and community engagement.

Shin Hongمشاهده پروفایل

دانشیار

• Software Testing
• Automated Debugging
• Program Analyses
• +۶ مورد دیگر

Shin Hong is an Associate Professor at the School of Computer Science, Chungbuk National University (CBNU) in South Korea. He leads the SDEV lab (소프트웨어 개발검증 연구실) and maintains active roles in major software engineering conferences including ASE 2025 (Local Arrangement Co-Chair), ICST 2026 (General Co-Chair), and SSBSE 2025 (General Chair). His research focuses on Software Testing, Automated Debugging, and Program Analyses , with specific expertise in test case generation, debugging automation, and static/dynamic/neural program analysis techniques. Dr. Hong's work bridges theoretical advances with practical applications, as evidenced by his industrial case study with SAP HANA. Analysis of his recent publications reveals strong trends in fuzzing techniques (ZigZagFuzz, BUGOSS), regression bug benchmarking, mutation analysis, and GUI test case repair. His research demonstrates increasing sophistication in combining traditional software engineering approaches with machine learning methods for test optimization and fault diagnosis. Research Focus Areas: Advanced test generation techniques Automated debugging and fault localization Machine learning applications in software testing Empirical evaluation of testing techniques Dr. Hong actively contributes to the academic community through program committee service at top conferences and mentorship of graduate students at CBNU. His leadership roles in major conferences reflect his standing in the software engineering research community.

Davide Fucciمشاهده پروفایل

استادیار

• empirical software engineering
• requirements engineering
• human aspects of software engineering
• +۳ مورد دیگر

Davide Fucci is an Assistant Professor in the Software Engineering department at Blekinge Institute of Technology (BTH) in Sweden. His academic career spans multiple prestigious software engineering conferences where he serves on program committees for ESEM, EASE, ICSSP, and PROFES. Dr. Fucci received his Ph.D. (cum laude) from the Department of Information Processing Science at the University of Oulu, Finland. He earned his B.Sc. in Computer Science from the University of Bari, Italy, and his M.Sc. in Information Processing Science from the University of Oulu, Finland. Davide Fucci's research focuses on empirical software engineering with particular emphasis on requirements engineering, human aspects of software engineering, and agile software development methodologies. His work explores psycho-cognitive studies in software engineering and Green software engineering. He has a strong commitment to methodological rigor and empirical approaches, advocating for open science practices in software engineering research. His research often bridges theoretical frameworks with practical applications in industry settings. Dr. Fucci's publication record demonstrates a consistent focus on improving software engineering practices through empirical validation. His recent work addresses emerging challenges in integrating AI technologies like Large Language Models into software development processes, security concerns in modern applications, and quality assessment of requirements. He has made significant contributions to understanding experimental design in software engineering research and promoting reproducibility in the field. As an active member of the software engineering research community, Dr. Fucci serves on numerous program committees and has organized workshops focused on open science and requirements engineering. He is a member of both ACM and IEEE Computer Society, reflecting his standing in the international computer science community. Davide Fucci has advised numerous research projects and has been involved in various collaborative efforts exploring the human dimensions of software engineering. His work on crossover designs in experiments, requirements quality assessment, and threat modeling for AI-integrated applications demonstrates his commitment to advancing methodological rigor in empirical software engineering research.

Valerie Pinfieldمشاهده پروفایل

استاد

• Physical acoustics
• Wave propagation
• Material characterisation
• +۹ مورد دیگر

Professor Valerie Pinfield is a distinguished academic at Loughborough University, where she serves as Professor of Ultrasonics and Complex Materials and Associate Pro-Vice-Chancellor for the Doctoral College. She has held several leadership positions including Head of the Department of Chemical Engineering (2017-2020), Director of Student Experience for the School of Aeronautical, Automotive, Chemical and Materials Engineering (2023-2024), and Acting Dean for the School (Sept 2024-Aug 2025). Her academic journey began with postdoctoral research at the Universities of Leeds and Nottingham before joining Loughborough University as a Lecturer in 2012, where she was awarded a personal chair in 2023. Professor Pinfield's educational background includes: MA in Natural Sciences from the University of Cambridge PhD in Food Science from the University of Leeds With a mathematical physics background, Professor Pinfield has developed a broad spectrum of research interests focused on the intersection of physical acoustics, materials science, and digital technologies. Her work spans from fundamental investigations of wave propagation through complex media to applied research in sustainable energy systems. She is particularly known for her contributions to understanding multiple wave scattering in soft complex materials, which has applications in material characterization and metamaterial design. Her recent research has expanded into machine learning and digitalization for material design and process optimization, with a strong emphasis on electrochemical technologies for sustainable energy. Professor Pinfield leads significant infrastructure and facilities projects in hydrogen technologies, spanning from sustainable propulsion for transport through materials development and testing to production and storage technologies. This work positions her at the forefront of research addressing global challenges in energy transition and sustainability. An analysis of Professor Pinfield's recent publications reveals a clear trajectory toward integrating advanced computational methods with traditional physics-based approaches. Her work increasingly combines machine learning with multi-physics modeling to address complex problems in energy systems and materials science. The focus on CO2 reduction and capture technologies demonstrates her commitment to addressing pressing environmental challenges through innovative engineering solutions. Her research bridges fundamental physics with practical applications in sustainable technologies. Professor Pinfield has received significant recognition for her contributions to academia and science: Fellow of the Institute of Physics (FInstP) Chartered Physicist (CPhys) Fellow of the Higher Education Academy (FHEA) As Associate Pro-Vice-Chancellor for the Doctoral College, Professor Pinfield plays a pivotal role in shaping the doctoral education experience at Loughborough University. She is deeply committed to developing future professionals in engineering and beyond through teaching, research mentorship, and academic leadership. Her industry experience at the Welding Institute and Cadbury Ltd provides valuable practical perspective to her academic work and student development initiatives. Professor Pinfield's research group contributes significantly to the university's strategic focus areas including Net Zero, Digital Engineering, and Sustainable Manufacturing and Circular Economy. Professor Pinfield leads research groups focused on ultrasonics, complex materials, and sustainable energy technologies. Her work connects with several research centers at Loughborough University that focus on hydrogen technologies, sustainable manufacturing, and digital engineering. These interdisciplinary teams bring together expertise from physics, engineering, computer science, and materials science to tackle complex challenges in energy and sustainability.