جست‌وجوی استاد و پژوهشگر

Kathrin Figlمشاهده پروفایل

استاد

• Human-Centric Information Systems Design
• Human-AI Interaction
• Algorithmic Management
• +۷ مورد دیگر

Kathrin Figl is a Full Professor (Tenured) for Human-centric Information Systems Design at the Department of Information Systems, Production and Logistics Management at the University of Innsbruck. Previously, she held positions as an Assistant Professor at WU Vienna University of Economics and Business and as a research associate at the University of Vienna. Her educational background includes a doctoral degree in Information Systems (2008, with honors, awarded the Dr. Maria Schaumayer Prize) and dual master's degrees in Information Systems (2004) and Psychology (2006), all from the University of Vienna. This interdisciplinary foundation bridges technical and psychological perspectives in her research approach. Professor Figl's research centers on human-centered information systems with particular emphasis on cognitive aspects of digital interaction: Human-AI interaction and algorithmic management systems Digital nudging techniques and online manipulation Eye-tracking methodologies in user research Cognitive biases and heuristics in digital environments Fake news perception and detection mechanisms Webpage prototypicality and its effects on user attitudes Business process modeling as cognitive tools Her publication trajectory demonstrates a sophisticated evolution from foundational work on business process modeling to cutting-edge research on device-specific cognitive effects and misinformation perception. A hallmark of her methodology is the rigorous application of empirical approaches, particularly eye-tracking studies, to investigate how screen design, device type, and interface elements influence human cognition and decision-making across digital platforms. Professor Figl has earned significant recognition for her scholarly contributions: Dr. Maria Schaumayer Prize for doctoral excellence Three Best Paper Awards at major international conferences Excellent Teaching Award from WU Vienna Recognition as a top reviewer for Software & Systems Modeling journal Outstanding service awards as associate editor and track chair She has secured substantial research funding including an FWF Lisa Meitner Programme grant (€145,260) on Web Design Prototypicality and an Austrian Nationalbank Research Grant (€55,000) on Cognitive Effectiveness in Business Process Modeling. While specific advisees aren't documented in the provided materials, her extensive publication record with numerous co-authors indicates active mentorship of graduate researchers. Her work with eye-tracking technology suggests leadership of a specialized laboratory environment for studying human-computer interaction, with established collaborations including the Technical University of Denmark and Queensland University of Technology.

• Geometric Modeling
• Topological Analysis
• Soft Matter Physics
• +۲ مورد دیگر

Prof. Dr. Myfanwy Evans is a Professor of Applied Geometry and Topology at the University of Potsdam . Her research focuses on geometric and topological modeling of soft and biological systems, with emphasis on analyzing complex microstructures through experimental and theoretical approaches. She is affiliated with the Institute of Mathematics, leading projects in geometric constraints in biological and synthetic materials. Current Position: Professor, University of Potsdam (2020–present) Previous Roles: Emmy Noether Research Group Leader (2015–2020), Humboldt Postdoctoral Fellow (2011–2014) Research Highlights: Evans investigates topological potentials in protein assembly, curvature in biological systems, and geometric optimization in tensegrity frameworks. Her work spans 3-periodic entanglements, network theory, and bicontinuous structures. Funding & Collaborations: Participates in Matters of Activity and MATH+ excellence clusters, collaborating across Berlin universities and Germany. She contributes to research on discretization in geometry and dynamical systems. Software Development: Co-created SPIRE , a tool for bicontinuous phase recognition applied to plastid cubic membranes and biological structures. Technical Expertise: Utilizes Riemannian optimization for geometric modeling, explores auxetic materials, and studies foam coarsening dynamics.

Edmund Spencerمشاهده پروفایل

دانشیار

• Space Plasma Physics
• Space Weather
• Radio Frequency Instrumentation
• +۳ مورد دیگر

Dr. Edmund Spencer is an Associate Professor in the Department of Electrical and Computer Engineering at the University of South Alabama , with research focused on space plasma physics and space weather . He designs advanced instruments for space science, develops theoretical frameworks for plasma characterization, and applies stochastic optimization algorithms to complex systems. Ph.D. Electrical and Computer Engineering, University of Texas at Austin M.S. Electrical and Computer Engineering, University of Texas at Austin B.S. Electrical and Electronics Engineering, University of Leicester, UK His work bridges space instrumentation with nonlinear magnetospheric dynamics , particularly in geomagnetic substorms and solar wind-earth magnetosphere interactions . Current projects include onboard space weather modules for satellites and advanced antenna systems for CubeSats . Recent research trends from his 15 most recent publications (2019-2025) include: Development of time-domain impedance probes for ionospheric electron density measurements Applications of machine learning in substorm prediction Hybrid physics-black-box modeling for Dst index forecasting Advanced antenna designs for small satellites 3D Particle-in-Cell simulations for RF instruments Collisional effects in plasma probe measurements Scientific contributions include: NSF CAREER Award (2013) for RF impedance probe development Key role in NASA's USIP CubeSat missions (e.g., JAGSAT I) Leveraging WINDMI model for substorm dynamics analysis He teaches graduate and undergraduate courses in electromagnetics and stochastic processes , contributing to the department's space science integration in engineering education.

Hüseyin Emre Becerمشاهده پروفایل

استاد

• Fine Arts Core Field
• Design
• Graphic Design

Prof. Dr. Hüseyin Emre Becer is a Professor at the Faculty of Fine Arts , Graphic Design Department , Yeditepe University since 2018. He previously held academic positions at Marmara University (1989–2005), İhsan Doğramacı Bilkent University (1986–1989), and Dokuz Eylül University (1983–1986). Education: Doctorate from Marmara University (1982–1986), Master’s in Graphic Arts (1982–1986), and Undergraduate in Graphic Arts (1976–1980). His research focuses on Fine Arts Core Field , Design , and Graphic Design , with emphasis on typography, visual hierarchy, and historical design principles. His work explores the application of mathematical concepts like the Golden Ratio in graphic design, modernist typography , and interdisciplinary art practices such as collage. Prof. Becer’s recent publications analyze trends in typography , graphic design education , and visual communication , bridging traditional and digital design methodologies. He has contributed to academic discourse on packaging design , advertising strategies , and design pedagogy . Scientific Awards: Birincilik Ödülü (First Prize) - Philatelic Music Circle, İNGİLTERE İkincilik Ödülü (Second Prize) - TÜRKİYE Şeref Mansiyonu (Honorable Mention) - Aydın Doğan Vakfı, TÜRKİYE Özel Ödül (Special Award) - Çankaya Belediyesi, TÜRKİYE He has guided over 20 Master’s and PhD theses, including studies on corporate identity design , digital typography , and political poster analysis . Currently, he teaches courses in Typography , Packaging Design , and Graphic Design Theory , while organizing workshops on visual communication and design education .

• Materials Science
• Computational Method Development
• Catalytic Mechanism Study
• +۳ مورد دیگر

Dr. Li Lei is an Associate Professor and doctoral supervisor in the Department of Materials Science and Engineering at the Southern University of Science and Technology (SUSTech). He holds a BS from the University of Science and Technology of China and a PhD in Chemistry (2016) from the University of Nebraska-Lincoln. From 2016-2020, he conducted postdoctoral research with Prof. Graeme Henkelman at the University of Texas at Austin, where he developed the machine-learning software package PyAMFF. Education : BS (Materials Science, USTC), PhD (Chemistry, UNL) Affiliation : Southern University of Science and Technology, Shenzhen Peacock Plan Category B Talent Research Focus : His work bridges computational method development and catalytic mechanism discovery through: Machine learning algorithms for force field training Long-timescale dynamics simulations of nanomaterials Saddle-point searching methods for reaction pathways Monte Carlo-based catalyst optimization Development of catalytic reaction databases His recent publications in JACS , Nat. Commun. , and ACS Catalysis demonstrate expertise in: Machine learning-enhanced molecular dynamics Electrochemical catalyst design (ORR/OER) in situ reaction mechanism analysis Atomic-scale electrostatic modeling Scientific Contributions : - Led development of PyAMFF machine learning potential framework - Published 27+ SCI papers in top-tier journals - Collaborated with leading computational chemists (Henkelman, Zeng, Francisco) Awards : Shenzhen Peacock Plan Category B Talent Contact : Office: 5th Floor, North Building, College of Engineering, SUSTech Phone: 0755-88015040 Email: lil33@sustech.edu.cn | lei.li@sustech.edu.cn

Tracee Greenمشاهده پروفایل

دانشیار

• Child Protection
• Forensic Parenting Assessments
• Trauma-Informed Practice
• +۳ مورد دیگر

Dr Tracee Green serves as Head of the Centre for Child Protection and Reader in Social Work and Child Protection at the University of Kent's School of Social Policy, Sociology and Social Research. A registered social worker with over 14 years of frontline experience, she has extensive expertise in working with families navigating complex challenges including care proceedings, domestic abuse, mental health needs, and substance misuse. At Kent, she has played a leading role in developing transformative child protection education programs including the Social Worker Degree Apprenticeship. Dr Green holds a PhD in Social Policy and Social Work with her dissertation titled "Forensic Parenting Assessments Using PAMS and Better Outcomes," which employed a mixed-methods design to evaluate professional perceptions and applications of the Parenting Assessment Manual Software in forensic settings. Her educational background includes significant practical experience in frontline social work before transitioning to academia. Dr Green's research program focuses on innovative approaches to child protection, with particular emphasis on forensic parenting assessments, trauma-informed practice, and simulation-based training methodologies. Her work bridges academic rigor with practical application, aiming to improve outcomes for vulnerable children and families. She maintains a strong interdisciplinary approach, collaborating with police, healthcare professionals, and other stakeholders in the child protection field. Analysis of Dr Green's publication record reveals a consistent focus on practical applications of child protection research. Her work demonstrates expertise in developing innovative training tools and methodologies, particularly simulations for preparing social workers for court proceedings and trauma-informed responses to child sexual exploitation. There's a clear trajectory from her early work on courtroom preparation to more recent developments in trauma-informed policing approaches, showing evolution in both scope and impact of her research. Dr Green's significant contributions to the field have been recognized through numerous prestigious awards: Home Office's Joint Security and Resilience Centre Academic Innovation Award – Highly Commended (2025) ESRC Celebrating Impact Prize – Finalist (2024) Strategic Prevention Head of Command Award, Kent Police (2023) Public Engagement and Impact Award, University of Kent (2022) Public Engagement and Impact Award, BERA (2021) University of Kent Teaching Prize – Highly Commended (2021) HEA Collaborative Award for Teaching Excellence (CATE) (2017) As an academic leader, Dr Green currently supervises four PhD students researching various aspects of child protection. Her grant portfolio includes significant research funding, notably as Principal Investigator on an ESRC-funded study with Kent Police exploring trauma-informed policing responses with sexually exploited girls. She also serves as Co-Investigator on a national trial evaluating Multi-Systemic Therapy for Child Abuse and Neglect and has contributed to REPHRAIN-funded research on safeguarding young people from online harms. Dr Green leads the Centre for Child Protection at the University of Kent, which has developed innovative simulation-based training tools including the "myCourtroom" series and resources for addressing child sexual exploitation. Her center fosters strong collaborations between academia and practice, particularly with Kent Police, creating a dynamic environment where research directly informs frontline practice in child protection.

Jonathan Czubaمشاهده پروفایل

دانشیار

• River and floodplain processes
• Sediment transport
• Ecohydraulics
• +۳ مورد دیگر

Jonathan Czuba is an Associate Professor in the Department of Biological Systems Engineering at Virginia Tech's College of Engineering. His research program integrates ecological engineering with fluvial geomorphology to address riverine ecosystem dynamics under anthropogenic and climatic pressures. Key Themes: Stream restoration, river network connectivity, ecohydraulics, and plastic pollution mitigation Methods: Coupling field measurements with computational models (HEC-RAS, Landlab) Collaborations: USGS, Indiana University, University of Minnesota Research Focus: Advances understanding of how sediment and nutrient fluxes interact with vegetation, aquatic biota, and human interventions across diverse river systems. Notable work includes quantifying floodplain connectivity, modeling post-wildfire sediment cascades, and developing tools for ecohydraulic assessments. Awards: 2023 UCOW Early Career Award 2023-2024 Engineering Teaching Excellence 2024 CALS Impactful Researcher of the Month Mentorship: Actively advises graduate/undergraduate researchers in Watershed Engineering, emphasizing fieldwork, modeling, and remote sensing. Collaborates with Kyle Strom (Civil Engineering) and Doug Edmonds (Indiana University).

Sotiria Fotopoulouمشاهده پروفایل

مدرس

• Astrophysics
• Active Galactic Nuclei
• Galaxy Clusters
• +۴ مورد دیگر

Sotiria Fotopoulou is a Lecturer in the School of Physics at the University of Bristol. Her research focuses on astrophysics, particularly in active galactic nuclei (AGN), quasars, galaxy clusters, and cosmic web structure. She contributes to the Euclid mission's scientific objectives through studies of photometric redshifts, galaxy evolution, and environmental effects. Current Project: Principal Investigator for 'Co-evolution or co-existence? Growth of supermassive black holes in next generation surveys' (2023-2024) Research Themes: Quasar census, slitless infrared spectroscopy for high-redshift objects, cosmic web reconstruction, intracluster light analysis, and gravitational lensing detection. Her work integrates Euclid data with machine learning techniques for galaxy morphology and photometric studies. Award: Recipient of Undergraduate Bursary Grant (2020)

Rodriguez Zalepinos Ramon Antonioمشاهده پروفایل

دانشیار

• distributed systems
• databases
• Big data
• +۶ مورد دیگر

Dr. Ramon Antonio Rodriguez Zalepinos is an Associate Professor at the Department of Software Engineering, Faculty of Computer Science, National Research University Higher School of Economics (HSE). With 16+ years of scientific and teaching experience, he specializes in geospatial data systems, distributed databases, and high-performance computing. Doctor of Science in Computer Science (2024) Candidate of Technical Sciences (2013) Master's in Computer Science (2008, Donetsk National Technical University) His research focuses on geospatial array databases , distributed systems , and Big Earth Data engineering , particularly through his ChronosDB and Quantum Tensor DBMS projects. He has pioneered cloud-native solutions for multi-terabyte environmental datasets and developed novel approaches for in-database road traffic simulations. Key publication trends show 7+ years of contributions to VLDB and SIGMOD conferences, with special emphasis on: Quantum-enhanced geospatial processing Web-based array database systems Cellular automata integration High-speed raster data aggregation Scientific recognition includes: Best Teacher award (2017-2021, 2023) HSE Personnel Reserve member Additional post-doctoral funding (2024-2027) Multiple publication bonuses (2019-2023) He supervises student research in geospatial data science and leads projects on satellite data processing systems, with implementations at major institutions including Amazon and Planet Labs.

• Neuroinformatics
• Neural Networks
• Semantic Networks
• +۶ مورد دیگر

Alexander Alexandrovich Kharlamov serves as a Professor at the National Research University Higher School of Economics (HSE), specifically within the Faculty of Computer Science and Department of Software Engineering. He joined HSE in 2015 and has accumulated 42 years of scientific and teaching experience. His academic profile includes prominent identifiers such as ORCID: 0000-0003-2942-5101, ResearcherID: E-3760-2014, and Scopus AuthorID: 57193909855. He maintains an office at the Pokrovsky Boulevard campus (AUK "Pokrovsky Boulevard", Pokrovsky blvd, 11, office S913) and serves as the Editor-in-chief of the journal "Speech Technologies" since 2008. Doctor of Technical Sciences (2010) from Moscow State Institute of Electronics and Mathematics Candidate of Technical Sciences (1983) from Moscow State Technical University named after N.E. Bauman Postgraduate study (1980) at Moscow State Technical University named after N.E. Bauman Mathematics degree (1976) from Lomonosov Moscow State University Thermal Physics degree (1970) from Moscow Power Engineering Institute Professor Kharlamov's research focuses primarily on neuroinformatics, with significant contributions to neural networks, semantic representations, and intelligent information systems. His work bridges computational approaches with cognitive modeling, exploring how semantic networks can be used for text analysis, speech recognition, and situation monitoring. His research interests span both theoretical foundations of neuroinformatics and practical applications in areas such as social media analysis, smart city development, and digital transformation. He has developed the TextAnalyst technology for automatic semantic analysis of text and has made significant contributions to understanding how humans process information through neural network models. His recent scholarly output demonstrates a clear trajectory toward multimodal systems, digital transformation in urban environments, and advanced semantic analysis techniques. The publications reveal a consistent focus on applying neuroinformatics principles to real-world problems, particularly in analyzing social dynamics through digital footprints, developing intelligent monitoring systems, and creating semantic frameworks for information processing. His work increasingly addresses contemporary challenges such as pandemic response, social stress analysis, and digital conflict zones, showing adaptability to emerging societal needs while maintaining theoretical rigor. Corresponding Member of the International Academy of Informatization (1994) Professor Kharlamov has secured significant research funding through grants from the Russian Foundation for Basic Research (No. 14-06-00363) and the Russian Humanitarian Science Foundation (No. 15-03-00860). His research leadership spans decades, with documented projects from 1996 to present, covering areas such as neural network modeling, speech recognition systems, semantic analysis technologies, and intelligent information systems. He has served as principal investigator for numerous projects, often collaborating with institutions like IITP RAS and Bauman Moscow State Technical University. His teaching portfolio includes advanced courses in neuroinformatics, neuromathematics, and neural network theory for both bachelor's and minor programs at HSE. As Editor-in-chief of the journal "Speech Technologies" since 2008, Professor Kharlamov has shaped discourse in his field while continuing his own research on semantic networks and neural modeling. His work on homogeneous semantic networks represents a significant contribution to the field, providing frameworks for text analysis, situation monitoring, and knowledge representation. The integration of his theoretical work on neural networks with practical applications in information systems demonstrates a career-long commitment to bridging theoretical computer science with real-world implementation challenges.

Shilov Valery Vladimirovichمشاهده پروفایل

استاد

• Parallel Computing
• Parallel Architectures
• History of Informatics
• +۳ مورد دیگر

Valery Vladimirovich Shilov is a Professor at the Department of Software Engineering within the Faculty of Computer Science at the National Research University Higher School of Economics (HSE University) in Moscow. He began working at HSE in 2015 and has extensive scientific and teaching experience spanning several decades across various prestigious institutions in Russia. His educational background includes a degree in Applied Mathematics from Lomonosov Moscow State University (1976), qualification as a Lawyer from the Higher Institute of Management (2001), and the academic title of Candidate of Technical Sciences (1989). His professional journey began at Central Research Institute 45 of the Ministry of Defense of the USSR (1976-1989), continued at the USSR Academy of Sciences Computing Center (1989-1997), and included professorial positions at MATI - Russian State Technological University named after K.E. Tsiolkovsky (1997-2015), where he also served as Head of the Department of Design of Computing Complexes and Deputy Dean of the Engineering and Economic Faculty for Science. Professor Shilov's research focuses on parallel computing, parallel architectures, and the history of informatics, with particular emphasis on Soviet and Russian computing history. His scholarly output demonstrates deep engagement with historical aspects of computing technology, including early mechanical calculators, Soviet-era computer development, and the evolution of computing in Eastern Europe. His publications reveal a consistent pattern of examining how computing technologies evolved within specific historical, political, and economic contexts, with special attention to Russian and Soviet contributions. His numerous scientific awards reflect significant recognition in his field, including honors from the Ministry of Education and Science of Russia, the Russian Section of IEEE Computer Society, the Polytechnic Museum, and multiple awards from HSE University. His leadership in organizing academic conferences, particularly those focused on the history of computing in Russia and former Soviet states, has been instrumental in preserving and advancing knowledge in this specialized area. Professor Shilov has supervised multiple PhD students focusing on software engineering, processor architecture, and parallel computing algorithms. His grant activities include leading an RFBR project on the history of domestic computing and informatics (1946-1960), demonstrating his commitment to documenting and analyzing the historical development of computing in Russia. He remains actively involved in academic service as a member of editorial boards for several journals and as a participant in numerous international conferences.

• Software Engineering
• Model Checking
• Formal Verification
• +۴ مورد دیگر

Professor Tomoji Kishi is a distinguished faculty member at Waseda University's School of Creative Science and Engineering, where he has been serving since 2009. Previously, he held academic positions at Japan Advanced Institute of Science and Technology (2003-2009) following a 21-year career at NEC Corporation (1982-2003). He earned his Ph.D. in Information Science from Japan Advanced Institute of Science and Technology in 2002, building upon his earlier engineering graduate studies at Kyoto University. Professor Kishi's research focuses on software engineering, particularly in software product line development, model checking, formal verification, and aspect-oriented modeling. His work bridges theoretical formal methods with practical applications in embedded systems, automotive software, and IoT technologies. He has made significant contributions to scalability challenges in model checking for configurable systems and has pioneered approaches to variability management and approximate modeling techniques. His publication record demonstrates remarkable consistency and evolution, with 42 papers and 153 citations according to Scopus data (h-index: 7), spanning from foundational work in software architecture in the 1990s to cutting-edge research on AI-enhanced verification methods in 2025. His recent work shows increasing application of machine learning techniques to traditional formal methods problems, particularly in the context of highly configurable systems and IoT applications. ITS Standardization Activity Merit Prize (2022) from Society of Automotive Engineers of Japan IPSJ/ITSCJ Standardization Contribution Award (2017) IPSJ/ITSCJ Project Editor Award (2016 and 2013) Information Processing Society of Japan Society Activity Contribution Award (2010) IPA/SEC Journal Best Paper Award (2007) Information Processing Society of Japan Yamashita Memorial Research Award (1998) Professor Kishi has led multiple JSPS-funded research projects, including recent work on 'variability management methods prioritizing usability through variability mining' (2020-2023) and 'utility-first modeling method' (2017-2020). His industry collaborations, particularly with automotive systems developers, demonstrate the practical impact of his research. He maintains active membership in major professional societies including IEEE Computer Society, ACM, and the Information Processing Society of Japan.

• Maize genetics
• Sorghum genetics
• Quantitative genetics
• +۶ مورد دیگر

Addie M. Thompson is an Assistant Professor at Michigan State University, affiliated with the Plant Resilience Institute, Genetics & Genome Sciences Program, and Molecular Plant Sciences Program. Her research focuses on maize and sorghum genetics, phenomics, and environmental response, with agricultural applications in drought tolerance and climate resilience. Degrees: B.S. from Iowa State University, Ph.D. and postdoc from University of Minnesota, postdoc from Purdue University Research Focus: Thompson's lab investigates genotype-environment interactions in maize and sorghum, integrating quantitative genetics, phenomics, and modeling to address agriculturally relevant questions. Key areas include drought stress response, plant morphology, high-throughput phenotyping, and computational breeding tools. Publication Trends: Her recent work spans maize/sorghum comparative genomics, hyperspectral disease detection, climate-resilient breeding strategies, and computational tools for multi-objective breeding optimization. Grants & Projects: Thompson contributes to USDA-funded corn tar spot resistance research and a $2.7 million Department of Energy project on plant genetics. Laboratory: The Thompson Maize Lab develops digital phenotyping technologies and physiological models for crop improvement.

Julia Lawallمشاهده پروفایل

پژوهشگر

• Operating Systems
• Domain-Specific Languages
• Program Transformation
• +۴ مورد دیگر

Julia Lawall is a Senior Research Scientist (Directrice de Recherche) at Inria-Paris, where she leads research in the Whisper group. She has made significant contributions to the fields of programming languages, operating systems, and software engineering, with a particular focus on program transformation and Linux kernel development. Her work bridges theoretical computer science with practical software engineering challenges. Dr. Lawall's research primarily centers on the design and implementation of domain-specific languages for operating system problems, program transformation techniques, and automated software evolution. Her most notable contribution is the Coccinelle framework, which has been instrumental in automating the evolution of Linux device drivers for over a decade. Her work spans from theoretical foundations in optimal reduction of the lambda calculus to practical tools that address real-world software maintenance challenges in large-scale systems like the Linux kernel. Her publication record demonstrates consistent contributions across multiple domains, with recent work focusing on Android API evolution, Linux kernel bug detection, and program transformation techniques. The trajectory of her research shows a progression from theoretical programming language concepts to increasingly practical applications in system software maintenance and evolution. EuroSys Test of time award for 'Documenting and Automating Collateral Evolutions in Linux Device Drivers' at EuroSys 2008 Best paper award for 'Diagnosys: Automatic Generation of a Debugging Interface to the Linux kernel' at ASE 2012 Most Influential ICFP Paper Award for foundational work on lambda calculus Best Reviewer at GPCE 2020 and Distinguished Reviewer at ASE 2020 Dr. Lawall has been actively involved in the academic community, serving as program co-chair for numerous prestigious conferences including ASE 2019, FSE 2026, and EuroSys 2025. She has also contributed to community initiatives as the Linux kernel coordinator for Outreachy (2015-2018) and as a member of the advisory board for Software Heritage. Her leadership extends to editorial roles, including associate editor for Higher-Order and Symbolic Computation and membership on the editorial board of Science of Computer Programming. She leads the Whisper research group at Inria-Paris, which focuses on program transformation techniques and their applications to system software. The group has developed several influential tools including Coccinelle, Coccinelle4J, LiLiput, Prequel, and JMake, which have had substantial impact on both academic research and industrial practice in software maintenance and evolution.

• Corporate Governance
• Sustainability Accounting and Reporting
• Environmental Management
• +۵ مورد دیگر

Dr. Khurshid Ali serves as a full-time Lecturer in the Department of Financial and Business Systems at Lincoln University's Lincoln Business School. His academic profile demonstrates strong alignment with sustainability-focused business practices and corporate governance research. His educational background includes: PhD in Accounting from University of Otago MSc in Banking and Finance from University of Salford BBA from Middlesex University BBIT from Iqra University Dr. Ali's research focuses on corporate environmental sustainability, corporate governance, and sustainability accounting and reporting. His work bridges financial accountability with environmental and social responsibility, examining how businesses can integrate sustainability into core operations while maintaining financial viability. His research particularly emphasizes the holistic aspects of sustainability that encompass environmental, social, and economic dimensions. His publication record shows a clear progression from traditional finance topics toward sustainability-focused research, with his most recent work examining capital markets' response to climate change actions. This evolution reflects growing academic and industry interest in environmental sustainability within corporate reporting frameworks. Dr. Ali actively contributes to academic service as a member of the Faculty of Teaching Committee and serves as a Technical Advisor for Xero Accounting Software. He supervises Masters and PhD students and is currently collaborating on a university-funded research project with the Agribusiness department focused on climate change actions. His professional engagement extends to the UN Sustainable Development Goals, particularly those related to climate action, sustainable cities, responsible consumption, and gender equality. He holds current Xero certifications and teaches financial and management accounting courses including ACCT 101, ACCT 308, and ACCT 621.