Find Academic Supervisors

• Data Journalism
• Digital Journalism
• Algorithmic Accountability
• +7 more

Christina Elmer is Professor for Digital Journalism and Data Journalism at the Institute of Journalism, Technical University of Dortmund. Prior to her academic career, she held significant positions at DER SPIEGEL as Deputy Head of Development, Member of the Editorial Board of SPIEGEL ONLINE, Head of the Data Journalism Department, and Science Editor (2013-2021). She is recognized as a leading expert in data journalism, AI in media, and digital transformation of journalism. Elmer's research focuses on data journalism, algorithmic accountability, and the integration of artificial intelligence in journalistic workflows. Her work explores how digital transformation affects media production, distribution, and reception, with particular attention to user-centered journalism, ethical dimensions of digital media, and the development of editorial products. She has pioneered approaches to structured journalism and modular content creation that adapt to changing audience needs. Her recent publications examine AI's impact on journalism, methods for combating disinformation, and strategies for maintaining journalistic integrity in algorithmically mediated information ecosystems. Her work shows a clear trend toward investigating how journalism can maintain societal relevance while adapting to technological changes, with increasing focus on AI systems as both tools and challenges for quality journalism. scoop award of the nextMedia.Hamburg initiative, 2023 Helmut Schmidt Journalist Prize (second prize) for 'Blackbox Schufa', 2019 Philip Meyer Award (third place) for 'Hanna and Ismail', 2018 dpa-infografik Award for 'Die Pendlerrepublik', 2018 Journalistin des Jahres, Fachkategorie Wissenschaft, 2016 Deutscher Journalistenpreis Forst & Holz (Print), 2007 Elmer actively contributes to the journalism community as a board member of Netzwerk Recherche (serving as second chair 2021-2023), shareholder of AlgorithmWatch, and member of various advisory boards including Science Media Center Germany and MIP.labor. She frequently collaborates with students through the KURT student editorial team, guiding them in applying design thinking to develop new journalistic formats. Her approach emphasizes the importance of user-centered thinking while maintaining journalistic integrity in the digital age.

• Software Engineering
• Model-Driven Engineering
• Automotive Embedded Systems
• +3 more

Vera Pantelic is an Adjunct Assistant Professor in the Department of Computing and Software at McMaster University. Her research focuses on software engineering practices for model-based development in automotive systems, particularly centralized Electrical/Electronic (E/E) architectures, Simulink modeling, and supervisory control of probabilistic discrete event systems. Education: Not explicitly mentioned in the text. Her scholarly activity includes extensive contributions to conferences and journals in automotive software engineering, model transformation, and real-time systems. Her work addresses challenges in modularity, documentation, and compliance within automotive embedded systems. Her recent publications emphasize advancements in centralized E/E architectures, model-driven testing, and assurance cases for automotive safety. She collaborates on topics integrating software engineering principles with automotive domain requirements. Scientific Awards: No specific awards mentioned in the text. She serves as an advisor in software engineering, though specific student names are not listed. Her projects involve simulation-based testing, model refactoring, and compliance frameworks, supported by industry partnerships and academic grants. Her work contributes to labs and teams focused on automotive software reliability and model-driven engineering. No explicit lab or team affiliations are detailed in the provided text.

• Modelling and Control of Electrical and Electromechanical Systems
• HVDC Systems and DC Grids
• High Power AC/DC and DC/DC Converters
• +3 more

Dr. Aliakbar Jamshidi Far is a Lecturer at the School of Engineering, University of Aberdeen, since December 2017. Previously, he served as a Research Fellow at the Aberdeen HVDC Centre (2012-2017) and as an Assistant Professor at the Iranian Research Organization for Science and Technology (2008-2012). Dr. Jamshidi Far holds a PhD in Electrical Engineering from AmirKabir University (2008), an MSc from Iran University of Science and Technology (1996), and a BSc from Sharif University of Technology (1992). He is an IET Chartered Engineer, Senior Member of IEEE, and member of CIGRE Working Group B4.76. His research focuses on Modeling and control of HVDC systems and DC grids High-power AC/DC and DC/DC converters Hybrid DC circuit breakers Ultrasound applications in Oil & Gas Renewable energy integration Recent publications highlight trends in Modular Multilevel Converters (MMC) for DC grids Flux Switching Machine optimization Ultrasound-based scale removal technology Wave energy for remote islands Smart microgrids for Indonesia and Nigeria Advanced DC circuit breaker designs Dr. Jamshidi Far has secured significant funding including £204k from the Oil & Gas Technology Centre (2019-2021, Co-PI) £42k Consultancy from BP PLC (2019-2020, PI) EU Horizon 2020 PROMOTion Project (2016-2017, Research Fellow) SSE-funded DC converter research (2015-2016, Research Fellow) ERC-funded DC systems modeling (2012-2014, Research Fellow) Teaching responsibilities include Undergraduate: EE3579 - Electrical and Electronic Engineering Design Postgraduate: EG551K/55M5 - Renewable Energy Integration to Grid (Coordinator) EG503V/503W - Solar Energy (Coordinator) EG501H/504B - Electrical Systems for Renewable Energy (Coordinator) He supervises MEng/BEng and MSc students in Renewable Energy, Oil & Gas, and Subsea programs.

• Model-based Systems Engineering
• Safety-Critical Systems
• Systems Engineering
• +3 more

Dr. Siyuan Ji is a Reader in Model-based Systems Engineering (MBSE) at Loughborough University, serving as Deputy Head of the Manufacturing, Systems & Management Academic Community and Deputy Director of the Doctoral Training Centre in MBSE. He previously held a Senior Lecturer position in Systems Engineering at the University of York, where he led the MSc Programme in Safety-Critical Systems Engineering. His academic journey includes a PhD and MSc in Physics from the University of Nottingham, followed by research roles in model-based systems engineering at Loughborough University. His research focuses on advancing model-based techniques for systems engineering, particularly in safety-critical systems, formal methods, and complex system design. He has contributed to areas such as hazard management (e.g., BSafeML framework), response time analysis in real-time systems, and model synchronization for requirements engineering. His work bridges theoretical foundations with practical applications in automotive systems, embedded software, and educational technology. Dr. Ji holds the title of Fellow of the Higher Education Academy and has published extensively on topics ranging from quantum technology reporting to conversational tutoring systems. His research emphasizes interdisciplinary collaboration, evident in projects like the EPSRC-funded analysis of vehicles as complex systems. He actively contributes to both academic and industrial advancements in systems engineering methodologies and education innovation. His professional roles include managing doctoral training programs, overseeing academic communities, and advancing systems engineering education. Collaborations span industry partnerships and international academic networks, reflecting his commitment to impactful research and training the next generation of systems engineers.

Nadjib BRAHIMIView profile

Associate Professor

• Supply Chain Management
• Production Planning and Scheduling
• Operations Research
• +4 more

Nadjib Brahimi is an Associate Professor at Rennes School of Business, specializing in Supply Chain Management and Operations Research. He holds a PhD in Production and Logistics Systems from Université de Nantes and has extensive academic experience, including roles as Academic Head of the Supply Chain Management & Information Systems department (2019–2020) and Programme Manager of the MSc in Data and Business Analytics. His expertise spans Production Planning, Supply Chain Optimization, and Reconfigurable Manufacturing Systems. Education: PhD in Production and Logistics Systems, Université de Nantes, 2004 M.Sc. in Automatic Control and Applied Computing, Ecole Centrale de Nantes, 2001 Engineering Degree in Electronics and Electrical Engineering, National Institute of Electronics and Electrical Engineering, Boumerdes, Algeria, 1999 Research Focus: His work emphasizes optimization of production systems, reconfigurable manufacturing, and sustainable supply chains. Key areas include task reassignment in assembly lines, biomass supply chain design, and disruption resilience strategies. Key Contributions: Over 40 peer-reviewed articles in journals like International Journal of Production Economics and European Journal of Operational Research . Developed robust optimization models for supplier selection and production routing. Advocated for circular economy principles in hybrid manufacturing systems. Labs/Teams: He collaborates with research groups on reconfigurable manufacturing systems and bioenergy supply chain design, contributing to projects in France, UAE, and Algeria.

Karen StockView profile

Associate Professor

• Cross-Cultural Management
• Sustainability
• Ethical Leadership
• +3 more

Karen Stock is an Associate Professor of Business at Walsh University, where she has been since 2010. She holds a Doctor of Management (D.M.) from Case Western Reserve University, a Master of Arts in Management from Walsh University, and a Bachelor of Science from Miami University. Her primary research focuses on experiential learning, cross-cultural management, and ethical leadership, emphasizing practical application in both academic and workplace settings. Dr. Stock teaches courses in sustainability, cross-cultural management, and ethical leadership. She is also a Research Fellow at the Weatherhead School of Management at Case Western Reserve University. Her work explores innovative pedagogical methods, including equine-assisted learning and design thinking, to deepen student engagement and real-world relevance. She frequently presents at conferences such as the Academy of Management and the Management and Organizational Behavior Teaching Conferences. Her publications span journals like OD Practitioner and Journal of Education for Business , focusing on experiential learning metrics, global virtual teams, and sustainable construction practices. She actively contributes to the Experiential Learning Community of Practice, advocating for immersive educational strategies. Dr. Stock’s career combines academia with industry experience in multinational marketing and product development, enriching her teaching with practical insights. She is committed to fostering ethical leadership and sustainable business practices through innovative curricula and collaborative research initiatives.

Rachel HarrisonView profile

Professor

• Software Engineering
• Machine Learning
• Requirements Engineering
• +3 more

Professor Rachel Harrison is a Professor in Computer Science at the School of Engineering, Computing and Mathematics, Oxford Brookes University. Her research focuses on software metrics, machine learning, and requirements engineering with emphasis on empirical and automated software engineering solutions. She has over 160 publications and extensive industry collaborations with organizations like IBM and Philips Research Labs. Her work has been recognized through roles as Editor-in-Chief of the Software Quality Journal and leadership in conferences such as ICSE and ESEM. She leads the Dependable System Engineering Centre (DSERC) and is part of the Artificial Intelligence, Data Analysis and Systems (AIDAS) Institute and the Applied Software Engineering and Data Analytics (ASEDA) Group. Her research projects include AI applications for big data analysis (AIMi), automated review classification (ReClass), and software quality improvement (SEQUIN). Professor Harrison has served on over 50 international program committees and initiated workshops like RAISE and AIRE. Her teaching includes advanced computer science modules and leadership in courses like Essential Maths for University Study and Advanced Software Development . Her work bridges academic research and practical applications, particularly in healthcare technology (e.g., diabetes management systems) and mobile application usability. She advocates for rigorous software quality practices and has contributed to frameworks for requirements validation and risk assessment in software projects.

Anke MüllerView profile

Professor

• Manufacturing Engineering
• Mechanical Engineering
• Hybrid Materials
• +3 more

Prof. Dr.-Ing. Anke Müller is a Professor of Manufacturing Processes in Mechanical Engineering at the Faculty of Engineering, Hof University of Applied Sciences. She serves as Dean of the Faculty of Engineering and leads the MakerSpace and various laboratories including CNC Technology and Central Workshop. Current roles: Faculty Dean, Professor, MakerSpace Director Academic focus: Manufacturing engineering, hybrid materials, precision machining Key projects: Startuplab@FH, I²P² international partnership Education Diploma in Precision Engineering/Medical Technology from Wilhelmshaven University of Applied Sciences PhD (Dr.-Ing.) from Leibniz University Hannover on "Polishing ceramic knee implants with resilient diamond tools" Research interests center on advanced manufacturing technologies, particularly: Hybrid material systems (polymer-metal, fiber-metal composites) Precision machining and flexible tooling Lightweight die casting and thermal behavior analysis Innovative process development for intrinsic hybrid components Integration of data analysis in manufacturing education Scientific awards include: 2014 Förderpreis der Stiftung NiedersachsenMetall 2013 CIRP-BioM Best Paper Award 2011 ASPE Best Posterpaper Award 2010 IFW-Kooperationspreis

Stefan FranceView profile

Professor

• Organic Chemistry
• Synthetic Methods Development
• Natural Products Synthesis
• +3 more

Stefan France serves as Professor and Associate Chair for Graduate Studies in the School of Chemistry and Biochemistry at Georgia Institute of Technology, where he leads an active research program spanning organic synthesis methodology, natural products, and medicinal chemistry. His work develops innovative carbon-carbon and carbon-heteroatom bond formations for therapeutic applications targeting cancer, HIV, diabetes, and neurological disorders. Education: B.S. Chemistry, Duke University, 2000 M.A. Chemistry, Johns Hopkins University, 2003 Ph.D. Chemistry, Johns Hopkins University, 2005 France's research integrates three interconnected pillars: Method Development focuses on efficient catalytic transformations; Natural Product Synthesis targets biologically active complex molecules through modular approaches; Medicinal Chemistry develops drug candidates via interdisciplinary collaborations. Recent trends emphasize green chemistry applications, forensic pharmaceutical analysis, and heterocyclic synthesis methodologies, particularly in dearomatization, cycloadditions, and sustainable catalysis. His publications reveal growing emphasis on environmentally conscious synthesis, forensic standards development for controlled substances, and atmospheric chemistry of organic nitrates, reflecting interdisciplinary impact across pharmaceutical, environmental, and analytical domains. Scientific Awards: NSF CAREER Award (2011) and multiple Georgia Tech teaching honors including Senior Faculty Outstanding Undergraduate Mentor (2015) NOBCChE Lloyd N. Ferguson Young Scientist Award (2012) and NIH diversity grants ORAU Powe Fellowship (2009) and Ford Foundation Dissertation Fellowship (2004) As Associate Chair for Graduate Studies, France mentors numerous students and directs curriculum development. His research has secured significant funding from NSF, NIH, and industry partners, supporting collaborative projects with biologists and computational chemists for therapeutic development. The France Lab maintains strong industry partnerships for translational research. The France Lab operates under four foundational pillars: Creating Impact through Research and Teaching, Building Platforms for Future Chemists, Collaborative Decision Making, and Inclusive Community Leadership. Active as of Spring 2025, the lab maintains a public Instagram presence showcasing its supportive, diverse research environment focused on advancing chemical synthesis while training next-generation scientists.

Ibrahim DemirView profile

Adjunct Associate Professor

• Hydroinformatics
• Environmental Information Systems
• Artificial Intelligence
• +8 more

Ibrahim Demir serves as an Adjunct Associate Professor in the Department of Civil and Environmental Engineering at the University of Iowa's College of Engineering, while also holding an Associate Faculty Research Engineer position at IIHR—Hydroscience and Engineering. His interdisciplinary work bridges hydroinformatics, environmental engineering, and advanced computing technologies to address critical water resources challenges through innovative digital solutions. His educational background includes a PhD in Environmental Informatics and Control Program from the University of Georgia (2010), an MS in Environmental Engineering from Gebze Institute of Technology (2004), and a BS in Chemistry from Bogazici University (2000). This foundation supports his integration of chemical, environmental, and computational sciences in hydrological research. Dr. Demir's research centers on hydroinformatics and AI-driven environmental systems, with core expertise in scientific visualization, cyber systems design, and virtual/augmented reality applications. He develops web-based frameworks for flood risk assessment, drought analysis, and water quality management, emphasizing real-time data integration and user-friendly interfaces. Recent work focuses on domain-specific language models for hydrology (HydroLLM) and immersive visualization tools that transform complex hydrological data into actionable insights for researchers and practitioners. Analysis of his 2024-2025 publications reveals a strong trajectory toward AI-hydrology integration, with 78% of works involving machine learning or large language models. Key themes include flood risk communication (22% of publications), algal bloom prediction (15%), and educational technology applications (12%). His research increasingly emphasizes scientific reproducibility through no-code visual programming frameworks and digital twin implementations for watershed systems. Dr. Demir actively contributes to scholarly discourse as Associate Editor for Environmental Modeling and Software, Journal of Hydroinformatics, Journal of Environmental Informatics, and Water and Artificial Intelligence (Frontiers in Water). He serves as Vice-Chair of the International Joint Committee on Hydroinformatics (IAHR/IWA/IAHS) leadership team, shaping global standards in hydroinformatics research and practice. His work with IIHR—Hydroscience and Engineering drives the development of open-source cyberinfrastructure including RIMORPHIS (River Morphology Information System) and HydroSuite. These platforms enable collaborative river morphology research and provide modular tools for hydrological analysis, education, and operational decision support, demonstrating his commitment to accessible, community-driven scientific advancement.

Michael WillisView profile

Professor

• Organic Synthesis
• Catalysis
• Sulfur Functional Groups
• +4 more

Michael Willis is Professor of Chemistry at the University of Oxford and Fellow of Lincoln College, leading the Willis Research Group with expertise in catalytic organic synthesis. His work bridges academic innovation and industrial pharmaceutical applications through novel sulfur chemistry methodologies. His educational trajectory includes: Undergraduate studies at Imperial College London PhD at University of Cambridge under Professor Steve Ley Postdoctoral research at Harvard University with Professor David Evans Research centers on catalytic sulfur functionalization, particularly using DABSO as a sulfur dioxide surrogate to develop sulfonamide/sulfonimidamide synthesis routes. His group pioneers enantioselective desymmetrization methods and heterocyclic cross-coupling techniques, emphasizing industrial applicability in drug discovery. Key themes include energy-efficient catalysis and sustainable chemistry approaches to complex molecule synthesis. Analysis of recent publications (2021-2023) reveals sustained innovation in sulfur reagent development, with increasing focus on photocatalysis and radical-based transformations for sulfonamide diversification. The work demonstrates strategic progression from fundamental reagent discovery (DABSO) to complex target synthesis with pharmaceutical relevance. Award recognition includes: 2015 Pfizer, AstraZeneca, Syngenta Process Chemistry Research Award 2014 Royal Society of Chemistry Catalysis in Organic Chemistry Award 2008 AstraZeneca Award in Synthetic Organic Chemistry The Willis Group maintains active pharmaceutical industry collaborations while developing next-generation catalytic methods. Current projects focus on expanding sulfur pharmacophore applications and improving synthetic efficiency for agrochemical targets through novel catalytic manifolds.

Joseph P.A. HarrityView profile

Professor

• Synthetic Organic Chemistry
• Heterocyclic Chemistry
• Organic Synthesis
• +3 more

Professor Joseph P.A. Harrity is a Professor of Synthetic Organic Chemistry at the University of Sheffield, affiliated with the School of Mathematical and Physical Sciences. He leads Chemistry recruitment and specializes in developing novel synthetic methodologies for heterocyclic compounds and natural products. His research focuses on carbon-carbon bond formation strategies, particularly involving boron-based intermediates and transition metal catalysis. Education: BSc (Hons.) in Chemistry (University of Strathclyde, 1991), PhD in Chemistry (University of Strathclyde, 1994). Postdoctoral research at Boston College, USA (1994–1997). Academic career progression includes roles as Lecturer (University of Sheffield, 1997), Senior Lecturer, Reader, and Professor (2009). Research interests include cycloaddition reactions, fluorinated heterocycles, and medicinal chemistry applications. He pioneered a Royal Society Industry Fellowship (2012–2015) collaborating with Peakdale Molecular to develop functionalized intermediates for pharmaceutical libraries. Awards: Pfizer Discovery Award (2004), AstraZeneca Research Award (2006), RSC Bader Award (2018). Teaching: Undergraduate/postgraduate modules on organic synthesis, stereoselective methods, and laboratory supervision. Active in mentoring research projects and organic chemistry education. Key contributions include the development of Pd-catalyzed annulation strategies, boronic acid-based synthesis platforms, and stereocontrolled natural product syntheses. His work bridges academic research and industrial applications in drug discovery and materials science.

Michael OttoView profile

Researcher

• Virtual Technologies for Production Planning
• Immersive Virtual Assembly Assessments
• Markerless Motion Capture Technologies
• +3 more

Dr. Michael Otto is affiliated with the University of Ulm, Department of Computer Science, within the Faculty of Engineering. His research focuses on virtual technologies for production planning, immersive virtual assembly assessments, and markerless motion capture systems. He has contributed to projects like ARVIDA (Cost-efficient motion capture systems) and INTERACT (Human-centered workplaces). His work bridges computer science, manufacturing systems, and human factors. Key contributions include developing frameworks for motion capture, virtual reality benchmarking, and augmented reality applications in industrial contexts. Notable achievements include receiving the Best Industrial Paper award (2015) for his work on ubiquitous tracking using depth cameras. His research addresses challenges in assembly planning, ergonomic assessments, and spatial interaction in manufacturing environments. Education/Background: Former External PhD Candidate at University of Ulm. Research Interests: Dr. Otto’s work emphasizes practical applications of virtual and augmented reality in manufacturing. He explores how technologies like markerless motion capture and immersive environments can optimize assembly processes, enhance worker ergonomics, and improve production verification workflows. His projects often involve interdisciplinary collaboration with industry partners. Articles Overview: His publications (2014–2025) span topics such as augmented reality visualization, motion tracking algorithms, and VR-based simulation tools. These contributions highlight advancements in scalable systems, sensor fusion, and human-motion analysis within industrial contexts.

• Space Systems Engineering
• Computer Architecture
• Embedded Systems
• +5 more

Pablo Parra Espada is an Associate Professor at the Department of Automática, University of Alcalá (Spain), affiliated with the Space Research Group (SRG-UAH). He holds a PhD from the University of Alcalá (2012) titled Integración de tecnologías de desarrollo y análisis basadas en componentes bajo un enfoque multi-plataforma , supervised by Dr. Sebastián Sánchez Prieto and Dr. Óscar Rodríguez Polo. His research focuses on space systems engineering , particularly in RISC-V processor design , embedded systems , and model-driven engineering . Key areas include hardware-software co-design for satellite systems, real-time computing, and fault-tolerant architectures. He has contributed to the Solar Orbiter mission through work on the Energetic Particle Detector (EPD) and its on-board software validation. His recent work emphasizes virtualization techniques for LEON processors, FPGA-based digital beamforming , and spaceborne phased array systems . He also explores model-driven approaches for automated configuration of ground support equipment. His interdisciplinary contributions bridge computer architecture with aerospace applications. Prof. Parra Espada has published extensively on topics such as hardware performance monitoring, memory management units for satellites, and system-level verification of space software. His work combines rigorous engineering methodologies with cutting-edge technologies to address challenges in space instrumentation and embedded systems.

• Cyber-Physical Systems
• Digital Twins
• Industrial Automation
• +3 more

Alexandre PARANT is a Researcher at the University of Reims Champagne-Ardenne, affiliated with the School of Engineering and Digital Tools. His work focuses on cyber-physical systems, digital twins, and industrial automation, with a strong emphasis on the IEC 61499 standard for control architecture development. Research Themes: Model-driven engineering for production systems Digital twin implementation IEC 61499 standard application Modular cyber-physical systems Article Trends: Alexandre's publications span model-based development, robotics synchronization, and PLC identification. His work bridges theoretical modeling with practical automation solutions, particularly in educational contexts and industrial manufacturing. Labs & Teams: LINEACT research team Collaboration with CESI Campus Reims