جست‌وجوی استاد و پژوهشگر

• Intelligent sensing and control of built environment
• Urban environmental big data and risk control
• Built environment planning and design

Wang Junqi is a Professor at the School of Architecture, Southeast University, and holds the Youth Chair Professor title. He serves as a Doctoral Supervisor and focuses on intelligent sensing & control of built environments, urban environmental big data analysis, and sustainable urban planning. Executive Deputy Director, Jiangsu Province Engineering Research Center of Urban Heat and Pollution Control Editor (Early Career), Sustainable Cities and Society (JCR Q1 Top) Associated Editor, e-Prime Editorial Board Member, Frontiers in Sustainable Cities His research integrates architecture, engineering, and data science to address urban environmental risks through digital prevention and control technologies. Current projects include development of technical platforms for net-zero carbon buildings and collaboration with institutions like UCL and the University of Tampere. Over 50 SCI publications 5 ESI highly cited/hotspot papers 16 patents and software copyrights Contributed to 1 technical standard Scientific honors include: Best Paper Award (Energy and Buildings) Jiangsu Natural Science Top 100 Achievements Double Creation Doctorate Award He welcomes interdisciplinary Master’s, doctoral, and postdoctoral applicants with backgrounds in architecture, civil engineering, information electronics, and computer science.

Howard Kuhnمشاهده پروفایل

استاد مدعو

• 3D Printing
• Additive Manufacturing
• Fracture Mechanics
• +۳ مورد دیگر

Howard Kuhn is an Adjunct Professor in the Department of Industrial Engineering at the Swanson School of Engineering, University of Pittsburgh. He holds a PhD in Mechanical Engineering from Carnegie-Mellon University (1966), along with prior degrees from the same institution (MS, 1963; BS, 1962). His research focuses on 3D Printing Additive Manufacturing Fracture Mechanics Mechanical Behavior of Materials Workability Analysis Powder Metallurgy .

• Process Mining
• Process Modelling
• Conceptual Modelling
• +۵ مورد دیگر

Jan Martijn van der Werf serves as Associate Professor in Process Science at Utrecht University's Faculty of Science, Department of Information and Computer Science. Since September 2022, he has held the position of Programme Director for the Bachelor Information Sciences, overseeing curriculum development and academic operations for both Business Informatics and Information Sciences programs. Education: Dual PhD in Computer Science from Eindhoven University of Technology and Humboldt Universität zu Berlin (Thesis: 'Compositional Design and Verification of Component-based Information Systems') Research Focus: Van der Werf's work centers on process mining and behavioral modeling in software architectures, with emphasis on the interplay between data and processes. His expertise spans Conceptual Modelling of Information Systems , Enterprise Architecture , and Service-Oriented Architecture , addressing challenges in process discovery, verification, and practical implementation within complex organizational contexts. Current research explores the human dimensions of process mining adoption and AI-driven event log extraction. Publication Trends: Recent work (2023-2024) reveals increasing focus on methodological rigor in process discovery, human factors in process mining initiatives, and formal verification techniques for Petri nets. His publications bridge theoretical foundations with practical applications, particularly in event log extraction using large language models and visualization of complex process chronologies from heterogeneous data sources. Academic Contributions: Van der Werf teaches core courses in Process Modelling and Software Architecture , actively participates in academic workshops (including the 2020 'Information System Modeling' workshop), and supervises graduate research. His Scopus profile indicates 77 research outputs and supervision of 3 students, reflecting sustained scholarly engagement in process science and information systems.

• Strategy, management and organisational behaviour
• Transportation, logistics and supply chains
• Information systems
• +۱۸ مورد دیگر

Roger Maull is a Professor of Management Systems at the University of Exeter’s Business School and serves as the Academic Director of the Initiative for the Digital Economy at Exeter (INDEX), based in London’s South Bank. His research bridges digital technologies, operational systems, and sustainability, with a focus on the intersection of the Digital Economy and Circular Economy. BA in Economics, MSc in Management Information Systems, PhD (1987) Roger’s work explores how digital systems transform business models, supply chains, and societal structures. Key themes include data sharing ethics, IoT applications in food systems, and the role of systems theory in sustainable innovation. He has pioneered the HAT platform for personal data management and co-founded the startup Dataswyft.io. His publications span 15 recent years, emphasizing digital transformation, circular supply chains, and ethical frameworks. Notable projects include the Food Data Trust and the Internet of Food Things, funded by grants exceeding £40m from UKRI agencies. Current initiatives involve the DIGIT EPSRC project and the Defence Data Research Centre (DDRC.uk).

• Cryptography
• Theoretical Computer Science
• Algorithms
• +۴ مورد دیگر

Douglas Wikström is a Lecturer in Theoretical Computer Science at the Royal Institute of Technology (KTH), specifically within the School of Electrical Engineering and Computer Science. He is based at Lindstedtsvägen 5, Floor 5, Stockholm, with contact information including phone +46 8 790 81 38 and email dog@kth.se. Dr. Wikström specializes in cryptography and theoretical computer science, with a strong focus on electronic voting systems, security protocols, and mix-net technologies. His research spans zero-knowledge proofs, verifiable computation, and cryptographic protocol design. His work demonstrates significant contributions to the theoretical foundations of secure voting systems and privacy-preserving technologies. His recent publications reveal a continued emphasis on cryptographic verification techniques, security analysis of voting protocols, and efficient implementations of cryptographic primitives. The research trajectory shows consistent contributions to both theoretical aspects of cryptography and practical implementations of secure systems. As an educator, Dr. Wikström teaches several advanced courses including Algorithms, Data Structures and Complexity (DD2350), Advanced Algorithms (DD2440), Fundamentals of Cryptography (DD2448), and Applied Cryptography (DD2520), where he serves as course coordinator, teacher, and examiner. His teaching portfolio demonstrates a strong commitment to both theoretical foundations and practical applications of computer science.

• Quantum Computing
• Quantum Foundations
• Diagrammatic Reasoning
• +۳ مورد دیگر

John van de Wetering is an Assistant Professor at the Theoretical Computer Science group of the Informatics Institute at the University of Amsterdam . He works with the QuSoft research center and co-develops the PyZX open-source quantum compiler. His research spans quantum computation, diagrammatic reasoning, and quantum foundations. Education: PhD in Computer Science (2022, Radboud University) Research: Focuses on ZX-calculus for quantum circuit optimization, verification, and simulation. Explores quantum foundations through algebraic and compositional methods. Recent work includes quantum circuit optimization with AlphaTensor, completeness proofs for ZH-calculus, and scalable spider nets for transversal non-Clifford gates. He directs the new Master's program in Quantum Computer Science at UvA and co-authored the book Picturing Quantum Software . Notable collaborations include PyZX development and EU Gender Equality Working Group participation. Supervision includes current PhD students Lia Yeh (Oxford), Sarah Li (UvA), and Marc Farreras (Leiden). Former students include Boldizsár Poór (Quantinuum), Julien Codsi (Princeton), and Yanbin Chen (TUM). Tools & Outreach: Maintains the ZX-calculus Wikipedia page, co-lectured courses like Quantum Processes and Computation , and develops the ZX-calculus educational website. Organized QPL2026 conference and contributed to open-access journal Quantum .

Luisa Giulianiمشاهده پروفایل

دانشیار

• Structural Engineering
• Fire Safety Engineering
• Structural Robustness
• +۳ مورد دیگر

Luisa Giuliani is an Associate Professor at the Department of Civil and Mechanical Engineering Structures and Safety at the Technical University of Denmark. Her expertise spans structural robustness, nonlinear structural behavior, and fire safety engineering, with a focus on progressive collapse and infrastructure resilience. Education: PhD in Structural Engineering International Experience: Visiting researcher at TU Hamburg-Harburg (2008-2009, 2004-2005), Erasmus exchange student in Germany (1999) Her research investigates structural responses to exceptional actions like fire and explosions, contributing to sustainable design practices. Key projects include hydrogen tunnel safety (HyTunnel-CS) and fire protection of bridge cables. She employs advanced tools such as Abaqus, Ansys, and Fire Dynamics Simulator (FDS) for modeling. Recent work addresses fire-induced glass breakage, tunnel explosion mitigation, and hydrogen vehicle fire spread. She serves on scientific committees for conferences like NordicSteel and SEMC, organizing sessions on collapse safety and fire vulnerability. Languages: Italian (mother tongue), English and German (advanced), Danish (intermediate), French (basics). Software expertise includes FEM/CFD programs (Abaqus, FDS) and coding (Visual Basic .Net, APDL).

• programming and building microprocessor devices
• application programming (Delphi, C++)
• Web programming (.NET, C#, MVC, AJAX)
• +۲ مورد دیگر

Sergey Oleksandrovych Sgadov is a Senior Lecturer in the Department of Computer Systems and Networks at Zaporizhzhia Polytechnic National University. With academic activity at the university since 1998, he has established himself as a dedicated educator and researcher in computer science and microprocessor technologies. His institutional affiliation places him within the Faculty of Computer Sciences and Technologies, where he contributes to both teaching and research initiatives. Education: Graduated from Zaporizhia National University in 1993 with honors, specializing in "Solid-state electronics and microelectronics" and receiving the qualification of "specialist". Dr. Sgadov's research spans multiple domains of computer science and engineering. His primary interests include microprocessor programming, application development using Delphi and C++, web programming with .NET technologies, and computer modeling of physical processes. He has made significant contributions to graph theory, particularly in topological graph drawing algorithms and their applications in printed circuit board design. His work bridges theoretical computer science with practical engineering applications, focusing on creating efficient algorithms for complex computational problems. Analysis of his publication record reveals a strong focus on graph theory applications in electronic design automation, microprocessor systems development, and educational tools for computer engineering. His research has evolved from fundamental theoretical work on graph algorithms to practical implementations in microcontroller programming and educational technology. The consistent thread throughout his work is the application of computational methods to solve complex engineering problems, particularly in circuit design and microprocessor systems. Dr. Sgadov teaches courses in microcontroller programming and programming of microcontroller systems, bringing his research expertise directly into the classroom. His teaching methodology likely incorporates practical, hands-on experience with modern microprocessor technologies, reflecting his research interests in ARM Cortex processors and microcontroller applications.

Alexis Criscuoloمشاهده پروفایل

پژوهشگر

• Molecular Phylogenetics
• Bioinformatics
• Genomic Taxonomy
• +۳ مورد دیگر

Dr. Alexis Criscuolo is a Researcher at Institut Pasteur and leads the Genome Informatics and Phylogenetics (GIPhy) group . His work focuses on developing bioinformatics tools for phylogenetic analysis and bacterial genomics, including BMGE (2010) AlienTrimmer (2015) JolyTree (2019) MSTclust (2020) ASSU (2021) OGRI (2022) . His research interests include: Molecular Phylogenetics Genomic Taxonomy High-Throughput Sequencing Data Analysis Evolutionary Biology Computational Biology Algorithm Development Recent publications emphasize bacterial taxonomy (Thalassoporum, Tumidithrix, Paenibacillus), genomic epidemiology (Corynebacterium ulcerans), and bioinformatics methodology . He contributes to CRBIP (biological resource center) and P2M (Shared Microbiology Platform) at Institut Pasteur.

Agnieszka Lasotaمشاهده پروفایل

استادیار

• Optimization of production processes
• Enterprise operations optimization
• Petri nets (P/T type and s-nets)
• +۵ مورد دیگر

Dr. Eng. Agnieszka Lasota is an Assistant Professor at the Institute of Mathematics, Faculty of Mathematics, Informatics and Econometrics, University of Zielona Góra, Poland. She is actively engaged in both research and teaching, supervising diploma theses and coordinating EU-funded projects. Research Interests Her scientific work focuses on the optimization and modelling of production processes and enterprise operations . She employs Petri nets of the P/T type and s-nets to analyse discrete-event systems and has a strong interest in fiber-optic and wireless telecommunications networks . Additional areas include the economic and legal analysis of statutory changes in the telecommunications investment process . Teaching Contributions She delivers courses on software engineering, web-application programming, databases in web applications, data warehouses, and multimedia in business. She also teaches investment market analysis, business-plan preparation, and investment financing, and runs diploma seminars for first-cycle (bachelor) students in Computer Science and Econometrics, Data Engineering, and Mathematics. Outreach & Service Member of the National Organizing Committee for the International Mathematics Competition "Mathematics Without Borders" (Junior & Senior categories) Delivers popular-science lectures for primary and secondary school pupils Promotes study programmes of the Faculty of Mathematics, Informatics and Econometrics and the University of Zielona Góra Facilitates cooperation between schools, industry, and the faculty Grants & Projects Dr. Lasota serves as author and coordinator of both “hard” and “soft” projects. She is a member of project-evaluation committees and acts as an economic expert for the National Centre for Research and Development. She has coordinated the EU Social-Fund project “Modern teaching and practical cooperation with entrepreneurs – development programme of the University of Zielona Góra” (POWR.03.05.0-00-00-Z014/18).

• Systems & Control Theory
• Cyber-Physical Systems
• Robotic Systems
• +۳ مورد دیگر

Dimitrios Dechouniotis is an Assistant Professor at the Department of Electrical and Computer Engineering within the School of Electrical and Computer Engineering at the University of Patras . His career spans roles in academia, research institutions, and public administration. 2004: Diploma in Electrical Engineering (University of Patras) 2006: MSc in Automation Systems (NTUA) 2014: PhD in Electrical and Computer Engineering (University of Patras) His research focuses on Systems & Control Theory , Cyber-Physical Systems , Robotics , Cloud Computing , and 5G Communications . Recent publications highlight work in edge computing , network slicing , and resource orchestration for IoT and robotics applications. He has participated in over 10 national and European research projects related to telecommunications and Industry 4.0. His technical contributions include frameworks for edge-cloud continuum orchestration , blockchain-based slice orchestration , and energy-aware resource allocation , with a strong emphasis on system modeling and control-theoretic approaches. Contact: dechouniotis@uop.gr | Office: Building Z, 2nd Floor

• Machine Learning
• Artificial Intelligence
• Cybersecurity
• +۷ مورد دیگر

Prof. Dr. Virginijus Marcinkevičius is a Professor at Vilnius University , serving as the head of the Smart Technologies Research Group and the Artificial Intelligence Laboratory within the Institute of Data Science and Digital Technologies . He is also a Senior Researcher , Project Lead Researcher , and Group Leader . Based in Vilnius, Lithuania, he has been instrumental in advancing research in machine learning , artificial intelligence , cybersecurity , and natural language processing . Research Interests: Machine Learning & AI Cybersecurity & Threat Detection Natural Language Processing Hyperspectral Imaging & Remote Sensing Autonomous Systems & Robotics Big Data & Cloud Computing His work spans both theoretical and applied aspects, including IoT security , visual analytics , and intelligent decision support systems . Recent projects include the development of propaganda detection systems , hyperspectral unmixing algorithms , and autonomous driving agents . Doctoral Supervision: He has supervised 19+ PhD students and 5+ consultants , covering topics from machine learning in cybersecurity to neural machine translation and autonomous UAV navigation . Projects & Grants: He has led or contributed to 15+ national and EU-funded projects , including: CognitiveSTATS – COVID-19 data literacy platform Propaganda and Disinformation Research – ML-based detection DAMIS – Data mining system for national research Raštija 2 – Lithuanian language resource integration Publications: He has authored or co-authored 60+ peer-reviewed publications in journals like IEEE Access , Informatica , Frontiers in Psychology , and Machine Vision and Applications . Professional Memberships: He is a member of the Lithuanian Computer Society , Lithuanian Mathematical Society , and Lithuanian Operations Research Society .

• Medical Image Analysis
• Machine Learning
• Computer Vision
• +۵ مورد دیگر

Dr. Jolita Bernatavičienė serves as a Senior Researcher at Vilnius University's Institute of Data Science and Digital Technologies within the Image and Signal Analysis Group. With a Doctorate in Technological Sciences (Informatics), she has established herself as a leading researcher in medical image analysis and artificial intelligence applications in healthcare. Her extensive research portfolio spans over 15 years of continuous contributions to the field. Dr. Bernatavičienė's research interests primarily focus on medical image analysis, particularly in ophthalmology and oncology applications. Her work integrates advanced machine learning techniques with medical diagnostics, specializing in eye fundus image analysis for glaucoma detection and prostate MRI analysis for cancer identification. She has made significant contributions to deep learning architectures, signal processing methodologies, and data analysis frameworks applicable to biomedical challenges. Her publication record demonstrates strong trends in applying cutting-edge AI techniques to solve concrete medical problems, with a noticeable shift toward more sophisticated deep learning architectures in recent years. The research spans multiple medical domains including ophthalmology, cardiology, oncology, and renewable energy systems monitoring, reflecting her interdisciplinary approach to data science applications. Leader of International Conference 'Data Analysis Methods for Software Systems (DAMSS)' 2015-2024 Member of IEEE Computer Society section (since 2022) Member of the Council of the Lithuanian Computer Association, Artificial Intelligence Section Member of the Lithuanian Operations Research Society Expert at the Science, Innovation and Technology Agency (MITA) (2020-2022) Dr. Bernatavičienė actively supervises doctoral and master's students, with current doctoral student Roman Surkant working on prostate MRI analysis. She leads multiple significant research projects including 'Developing Talents in Artificial Intelligence to Solve Disruptive Environmental Problems' and serves as scientific leader for the Research Council of Lithuania funded project on cardiac MRI texture analysis. Her work has been supported by various national and international funding mechanisms including COST activities, EuroHPC programs, and Lithuanian national research grants. She is principal investigator for the long-term project developing a database of depersonalized fundus images (2018-2030) and has led numerous projects related to medical image analysis, AI applications in healthcare, and data science methodologies. Her research group maintains strong international collaborations through COST actions and other European research networks.

Seren BAŞARANمشاهده پروفایل

دانشیار

• Educational Technology
• Machine Learning
• Decision Analysis
• +۵ مورد دیگر

Assoc. Prof. Dr. Seren BAŞARAN is an academic faculty member at the Department of Computer Information Systems within the College of Engineering at Near East University . Her research focuses on educational technology, machine learning, decision analysis, and the integration of social media in higher education. She has contributed extensively to the development of e-learning systems, including the creation of the multilingual platform ‘Net-Class’. Specializations: Educational Technology, Fuzzy Logic Applications, Learning Analytics, Cloud Computing, Spectral Geometry, and Social Media in Pedagogy. Her recent work explores smart mobility data platforms, blended learning during the pandemic, and multi-criteria decision-making frameworks for evaluating digital learning tools. Despite her prolific publication record, no explicit information about scientific awards or advisees is available.

Haroun Mahgereftehمشاهده پروفایل

استاد

• Carbon Capture and Storage
• Process Safety
• Loss Prevention
• +۲ مورد دیگر

Professor Haroun Mahgerefteh serves as Professor of Chemical Engineering at University College London and was elected Fellow of the Royal Academy of Engineering (FREng) in 2025. He leads multinational research initiatives in carbon capture, utilisation and storage (CCUS) with direct impact on global net-zero emission strategies. His research spans critical domains including carbon capture infrastructure safety, pipeline rupture modeling, and hazardous material transport systems. Notably, he developed PipeTech software—the industry-standard tool adopted worldwide for assessing safety risks across thousands of kilometers of pressurized CO₂ pipelines, directly influencing regulatory frameworks and engineering practices in energy transition technologies. Professor Mahgerefteh's scientific contributions have been recognized through prestigious accolades: Fellow of the Royal Academy of Engineering (FREng) IChemE EuroChem Highly Commended Prize for PipeTech software Multiple awards from Institution of Chemical Engineers (IChemE) European Union Mission Innovation honors Royal Society distinctions As active member of the UK Carbon Capture and Storage Research Council, his commissioned reports and safety methodologies continue driving CCUS deployment while maintaining leadership in engineering safety standards development for hazardous material transportation systems globally.