جست‌وجوی استاد و پژوهشگر

Sophie N. Parraghمشاهده پروفایل

استاد

• Vehicle Routing
• Passenger Transportation
• Green Logistics
• +۷ مورد دیگر

Sophie N. Parragh is Professor and Head of the Institute of Production and Logistics Management at Johannes Kepler University Linz, where she also serves as program director of the master's degree program in Economic and Business Analytics. She received her PhD from the University of Vienna in 2009 and completed her habilitation in 2016, following postdoctoral research at the IBM Center for Advanced Studies in Porto and a visiting professorship at the Vienna University of Economics and Business. Her research focuses on developing exact and heuristic optimization algorithms for complex logistics and transportation problems. Key areas include vehicle routing, green logistics, disaster relief distribution planning, scheduling, and multi-objective optimization. She has particular expertise in branch-and-bound, branch-and-price, column generation, and metaheuristics approaches to solve challenging combinatorial optimization problems. Dr. Parragh's publication record shows a consistent trend toward increasingly complex multi-objective problems, with recent work focusing on electric vehicle routing, multi-echelon production planning under uncertainty, and bi-objective facility location problems with applications in disaster relief. Her research bridges theoretical optimization methods with practical applications in logistics and transportation. Scientific Awards: ÖGOR (Austrian Society for Operations Research) dissertation prize doc.award from the University of Vienna Hertha Firnberg Postdoc fellowship from the Austrian Science Fund (FWF) Dr. Parragh has served as department editor for OR Spectrum and as associate editor for Transportation Science, Transportation Research Part B: Methodological, INFORMS Journal on Computing, and Networks. She has led and participated in numerous third-party funded research projects in operations research, including work in healthcare logistics, field staff routing, production planning, and electric vehicle routing. In 2021-2022, she co-organized the monthly VeRoLog webinar series, demonstrating her active engagement with the international operations research community. She maintains strong research collaborations across Europe, evidenced by her co-authored publications with researchers from institutions in Austria, France, Portugal, Denmark, and beyond. Her work consistently addresses both theoretical challenges in optimization and practical applications in industry and public service contexts.

Adel Aazamiمشاهده پروفایل

استادیار

• Operations Research
• Optimization
• Supply Chain Management
• +۸ مورد دیگر

Dr. Adel Aazami is an Assistant Professor at the Institute of Transport Economics and Logistics at Vienna University of Economics and Business (WU Vienna) since 2023. His academic journey began with a B.Sc. in Industrial Engineering from University of Tehran (2010-2014), followed by an M.Sc. (2014-2016) and Ph.D. (2016-2021) from Iran University of Science and Technology (IUST), Tehran. Prior to his current position, he worked as a Postdoctoral Researcher at Sharif University of Technology (2021-2022) and was a Visiting Researcher at the University of Toronto (2020). His educational background includes: Ph.D. in Industrial Engineering (2016-2021) - Iran University of Science and Technology (IUST), Tehran, Iran M.Sc. in Industrial Engineering (2014-2016) - Iran University of Science and Technology (IUST), Tehran, Iran B.Sc. in Industrial Engineering (2010-2014) - University of Tehran, Tehran, Iran Dr. Aazami's research spans multiple interconnected domains within operations research and supply chain management. His primary focus areas include Operations Research and Optimization, Supply Chain and Logistics, Production and Distribution/Transportation Planning, Competition and Game Theory, Stochastic Programming, and Decomposition Algorithms. His work demonstrates a strong emphasis on developing mathematical models and optimization algorithms for complex supply chain problems, particularly those involving perishable goods, competitive environments, and sustainability considerations. He has made significant contributions to integrating environmental factors into traditional logistics problems and developing robust optimization approaches for supply chain networks. Analysis of Dr. Aazami's publication record reveals a consistent trajectory of increasingly sophisticated research in supply chain optimization. His work shows a clear progression from foundational mathematical optimization techniques to increasingly complex integrated problems involving multiple stakeholders, uncertainty, and environmental considerations. A notable trend is his focus on perishable products within supply chains, developing models that account for limited product lifetimes while optimizing across multiple echelons of the supply chain. More recently, his research has expanded to incorporate green logistics considerations, developing algorithms that balance economic and environmental objectives in transportation and distribution problems. His notable scientific achievements include: Winner of the 'Best Student' award among nationwide students evaluated by the Iranian Ministry of Science (2020) Winner of the Iranian Nobel Prize (known as the Alborz National Foundation Prize) (2019) Winner of the Best Student Award at IUST (2018) Winner of the Top Researcher Award at IUST (2018) Annual Awards of the National Elites Foundation Iran (2015-2020) Dr. Aazami has extensive teaching experience across multiple Iranian universities including Tehran University, Amirkabir Technical University, Isfahan University, Yazd University, Zanjan University, Damghan University, Abrar University and Iran Technical University. His peer review activities include reviewing for prestigious journals such as Soft Computing, Expert Systems with Applications, and Annals of Operations Research. While specific grant information isn't detailed in the provided text, his research output suggests active engagement with complex optimization problems relevant to transportation and logistics industries. At WU Vienna, Dr. Aazami is part of the research team at the Institute of Transport Economics and Logistics, working alongside other faculty members including Prof. Kummer and Prof. Wakolbinger. His research integrates theoretical optimization methods with practical applications in transportation and logistics, contributing to the institute's focus on sustainable and efficient supply chain solutions.

Gerhard Hillmerمشاهده پروفایل

استاد

• Engineering Education
• Leadership & Project Management
• Organizational Development
• +۴ مورد دیگر

Gerhard Hillmer is a Professor and Program Director of the Industrial Engineering & Management Master's program at the Management Center Innsbruck. He holds a Dr.-Ing. in Chemical Engineering from Friedrich-Alexander-University Erlangen-Nuremberg (1993) and an MSc in Management from Management Center Innsbruck (2008). His career spans over 25 years in academia and industry, including leadership roles as Department Head (2009-2023) and Study Coordinator in Process Engineering. Prior to academia, he held strategic roles in ExxonMobil and Esso Italiana focusing on business planning and operations optimization. His research focuses on leadership development in engineering education, interdisciplinary competency models, and organizational change management. He has authored textbooks such as Key Competencies in Leadership and Project Work (2022) and pioneered training concepts for engineering graduates' soft skills and responsible management practices. His work emphasizes integrating non-technical competencies like conflict resolution, project management, and ethical decision-making into engineering curricula. Recent publications address global business strategies in Africa, AI-driven HR practices, and corporate ethics expectations. Hillmer has supervised over 50 theses on topics ranging from cross-cultural leadership to resilient supply chains. His presentations at international conferences highlight trends in engineering education reform and organizational transformation in VUCA environments. Notable contributions include developing the PRiME-based Responsible Management certificate and advancing qualitative research methods for change processes in manufacturing. His work bridges academic research with practical industry challenges, emphasizing sustainable career development for engineers and leadership excellence in multinational contexts.

Gerhard Friedrichمشاهده پروفایل

استاد

• Artificial Intelligence
• Knowledge-Based Systems
• Recommender Systems
• +۱۰ مورد دیگر

Gerhard Friedrich is a Full Professor at the University of Klagenfurt, leading the Institute for Artificial Intelligence and Cybersecurity. He previously served as Dean of the Faculty of Technical Sciences (2013–2021). His roles include Coordinator for International Relations of the Faculty of Engineering and Member of the Faculty Conference of Technical Sciences. He holds a PhD in Computer Science from Vienna University of Technology and has extensive industry experience, including heading departments at Siemens Austria and research roles at Siemens Corporate Research and Stanford Research Institute. Research focuses on knowledge-based systems, recommender systems, configuration and planning, and production informatics. His work bridges theoretical AI with practical applications in manufacturing, software development, and business processes. He has authored a book on recommender systems (translated into Japanese and Chinese) and contributed to prestigious journals like Artificial Intelligence and IEEE Transactions . He has organized major conferences such as the German Conference on Artificial Intelligence (2016) and served as editor and program committee member for leading venues. His awards include Fellowships from the European and Asia-Pacific AI Associations (2012, 2023). His advising and grants include leadership in applied AI projects and international collaborations. He directs the Intelligent Systems and Business Informatics research group, emphasizing interdisciplinary innovation.

• Cybersecurity
• Game Theory
• Quantum Cryptography
• +۵ مورد دیگر

Stefan Rass is a Professor at the Institute of Networks and Security within the Faculty of Engineering & Natural Sciences at Johannes Kepler University Linz (JKU), where he leads the LIT Secure and Correct Systems Lab. As Principal Investigator for FFG-funded projects including reSilienz (digital supply chain resilience, 2023–2025) and ITPUK (AI signature verification, 2022–2024), he bridges theoretical game theory with practical cybersecurity solutions for critical infrastructures and robotics systems. His research spans game-theoretic security models (patrolling games, defense-in-depth strategies), quantum cryptography (QKD network architectures), and cyber deception frameworks like Honeyquest for measuring honeypot effectiveness. Recent work addresses robotics security benchmarking (RobotPerf), cryptographic instruction chaining for control flow protection, and risk assessment methodologies for interdependent infrastructures. His mathematical decision-making approach integrates bounded rationality and stochastic modeling to solve real-world security challenges. Professor Rass actively shapes the field through program committee roles (ARES 2023), peer reviews, and invited talks on security transparency. His current projects focus on cost-benefit-aware monitoring for cyber-physical systems and quantum key distribution standardization, reflecting Austria’s strategic priorities in digital resilience. The LIT Secure and Correct Systems Lab under his direction develops foundational theories while deploying tools for industrial applications, particularly in critical infrastructure protection and secure robotics workflows.

Hüseyin Kaya Akyüzمشاهده پروفایل

پژوهشگر

• Bioethics
• Science and Technology Studies
• Genomics
• +۴ مورد دیگر

Hüseyin Kaya Akyüz is a researcher at the Faculty of Social Sciences , specifically within the Department of Science and Technology Studies . His work spans Bioethics , Genomics , and Big Data ethics, addressing complex intersections between technology, society, and medicine. Education: B.Sc., MSc Key Research Areas: Ethical frameworks for biobanking, genomic data privacy, AI in healthcare, and public health policy. Research Trends : A significant portion of his work focuses on ethical, legal, and social implications (ELSI) of emerging technologies, particularly in genomic research and AI-driven diagnostics . His recent publications highlight challenges in data identifiability and dynamic consent in rapidly evolving sociotechnical environments. Scientific Awards : Dissertation Completion Fellowship (2019) uni:docs Fellowship (2016) Engagement & Collaborations : Actively involved in science communication , he co-organized the 4S Annual Meeting 2019 and delivered talks on topics like "Scientists' Bestsellers: Alternative Spaces for Doing Science by Communicating" and "Hype, Risk, Modesty, and FAQs in Science" . His collaborations extend across Europe, focusing on genomic data governance and AI ethics .

• Control Engineering
• Automation
• Model Predictive Control
• +۵ مورد دیگر

Martin Steinberger is an Associate Professor at the Institute of Control and Automation (IRT) at Graz University of Technology (TU Graz). His work focuses on advanced control systems, networked control, model predictive control (MPC), and automation in manufacturing and autonomous systems. He leads research into real-time optimization, fault diagnosis, and safety-critical applications in industries like pharmaceuticals and automotive. Research interests include: Networked Control Systems Model-Based Control Autonomous Vehicle Trajectory Planning Process Automation Robotics and Industrial Automation His work bridges theoretical control engineering with practical applications in manufacturing lines, chemical processes, and autonomous driving. Recent studies emphasize digital real-time release testing for pharmaceuticals, universal control concepts for manufacturing systems, and safety-aware trajectory optimization for automated vehicles. His publications frequently address challenges in time-varying delays, packet loss mitigation, and robust observer design for nonlinear systems. Steinberger collaborates on EU-funded projects and regularly contributes to conferences like the International Workshop on Variable Structure Systems. His research often involves experimental validation, as seen in work with compact pharmaceutical manufacturing setups and small-scale autonomous vehicle testing platforms.

• Robotics
• Autonomous Systems
• Mobile Robotics
• +۶ مورد دیگر

Markus Bader is a PostDoc Researcher at the Technische Universität Wien's Faculty of Informatics, Department of Automation Systems. He holds roles as Curriculum Coordinator for Master's programs in Automation Systems and Mobile Robotics, and serves on multiple academic committees including the Faculty Council and Curriculum Commissions for Informatics and Computer Engineering. He earned his Diplom-Ingenieur (2006) and Doctor Technica (Dr.techn.) from TU Wien. His research focuses on autonomous systems, mobile robotics, and control systems, with notable work on multi-robot coordination, path planning algorithms, and real-time navigation in human environments. Key projects include TransportBuddy (2018), exploring navigation in human spaces, and the Formula Student Driverless race car design (2017). Bader has led or contributed to funded projects such as the Austrian Research Promotion Agency (FFG)-supported Green Facade Digital Twin (2025–2027), Independent Wheel Offset Steering (2016–2017), and MPCv1 (2015–2017), emphasizing model predictive control and sensor integration. Research Highlights : Prioritized multi-robot route planning (MRRP), human motion prediction for autonomous navigation, and sensor fusion for vehicle localization. Grants : FFG-funded projects totaling over €2.5M, including autonomous vehicle coordination and mobile robotics tool development. He advises students on topics like ROS2-based route planning and independent steering systems, with 7+ supervised theses documented. Bader's work bridges theoretical robotics research with practical applications in industrial automation and autonomous vehicle systems.

Wieland Konradمشاهده پروفایل

پژوهشگر

• Software Engineering
• Model-Driven Engineering
• Collaborative Systems
• +۳ مورد دیگر

Wieland Konrad is a researcher affiliated with the Institut für Softwaretechnik und Interaktive Systeme at TU Wien. His work focuses on model-driven engineering, software versioning, and collaborative systems. He has extensively contributed to advancing model versioning techniques, conflict resolution in software models, and UML-based solutions. His research emphasizes practical applications in software development lifecycle management and educational methodologies for UML. Key research areas include: Model versioning systems and semantics Conflict detection and resolution algorithms Collaborative cross-organizational modeling EMF/UML profile-based extensions Software evolution analysis His publications highlight advancements in concurrent modeling tools like Colex, adaptable versioning frameworks, and educational strategies for large-scale UML teaching. While no awards are listed, his prolific output since 2009 demonstrates sustained academic contribution.

Marko Tkalčičمشاهده پروفایل

استاد

• Recommender Systems
• Computational Psychology
• User Modeling
• +۷ مورد دیگر

Marko Tkalčič is a Full Professor at the Faculty of Mathematics, Natural Sciences and Information Technologies (FAMNIT) at the University of Primorska in Koper, Slovenia. He is affiliated with the Department of Information Sciences and Technologies and leads research in psychologically-informed recommender systems through the HICUP lab. His academic journey includes prior roles as Associate Professor and Assistant Professor at the Free University of Bozen-Bolzano, and postdoctoral work at Johannes Kepler University and the University of Ljubljana. Research interests include computational psychology, user modeling, personality and emotion modeling, affective computing, and bias mitigation in AI. His work integrates machine learning, data mining, and user studies to enhance personalization systems by incorporating cognitive and emotional models. He focuses on music and film domains, with applications in social media, automotive interfaces, and multimedia. The recent publications demonstrate a strong trend toward human-centric AI , exploring eudaimonic and hedonic user experiences, cognitive load in driver assistance, music relistening behavior, privacy in group recommendations, and emotion-based video and music prediction. His research increasingly blends cognitive science theories (e.g., ACT-R) with practical recommender system design. University of Primorska Golden Plaque Award (2024) Stanford List of Top Scientists Cited Worldwide Best Reviewer Award at ISMIR 2020 Italian National Habilitation for Full Professor (2020) Italian National Habilitation for Associate Professor (2017) He actively supervises PhD students, including Elham Motamedi, and has secured teaching and research roles within his team. He is a member of the editorial board for UMUAI and Frontiers in Psychology, and has co-edited books and special issues on group recommender systems and human-centered AI. He leads the HICUP lab, fostering interdisciplinary research at the intersection of psychology and computer science.

Alexander K. Wagnerمشاهده پروفایل

استاد

• Behavioral Economics
• Experimental Economics
• Data-Driven Decision Making
• +۳ مورد دیگر

Alexander K. Wagner is a Professor of Behavioral Economics and Digitization at the University of Salzburg (PLUS), affiliated with the Faculty of Law, Business and Economics and the Department of Economics. He previously held positions at the University of Vienna, University of Cologne, and University of Konstanz. His research focuses on behavioral economics, experimental economics, algorithmic interactions in decision-making, and applied game theory. Education Bachelor/Master: Humboldt-University Berlin, University of Toronto PhD in Economics: Toulouse School of Economics Research Interests Wagner combines theoretical models with empirical analysis to study individual and firm decisions. Key areas include algorithmic pricing strategies, experimental platforms, and the impact of behavioral biases on economic outcomes. His recent work examines how managers respond to algorithmic recommendations in hotel pricing and explores strategic behavior in ambiguous environments. Grants & Projects Anniversary Fund Project (OeNB): "Human-Algorithm Interactions in Economic Decision Making" (2023-2027) Affiliations He is an affiliate at the Vienna Center for Experimental Economics (VCEE) and maintains active collaborations across international research networks.

Raimund Kovacevicمشاهده پروفایل

مدرس ارشد

• Health Economics
• Epidemiological Modeling
• Optimization in Healthcare
• +۳ مورد دیگر

Priv.-Doz. Mag. Dr. Raimund Kovacevic is a Senior Lecturer at the Department for Economy and Health at the University for Continuing Education Krems. His research focuses on health economics, epidemiological modeling, and optimization in healthcare systems. He has contributed to projects such as the 'Nachhaltige Gesundheitsversorgung im Spannungsfeld zwischen Tradition und Evidenzbasierung' and 'Centre for Evidence-based Health Economics: Community Health Nursing in Lower Austria,' funded by state and institutional grants. His work spans mathematical models for disease control (e.g., vaccination strategies for waning immunity), stochastic optimization in healthcare decision-making, and energy market pricing mechanisms. Notable collaborations include studies on community nursing interventions and pandemic response strategies. Kovacevic has presented at international conferences, including OR 2024 and the World Congress on Nursing Education, and holds an 'Outstanding reviewer award 2016.' Key Research Themes: Optimal control in healthcare, epidemiological dynamics, risk-averse bargaining models, and energy market analyses. Grants & Projects: Includes projects on sustainable healthcare systems and community nursing evaluations, supported by federal and institutional funding. His expertise bridges mathematical methods with practical healthcare and economic challenges, emphasizing evidence-based solutions for complex system dynamics.

Johannes Peter Wallnerمشاهده پروفایل

دانشیار

• Knowledge Representation and Reasoning
• Artificial Intelligence
• Argumentation
• +۷ مورد دیگر

Johannes Peter Wallner is an Associate Professor at Graz University of Technology (TU Graz), working in the Institute of Software Engineering and Artificial Intelligence within the Faculty of Computer Science and Biomedical Engineering. He leads the Knowledge Representation and Reasoning (KRR) research group and has previously been a researcher at TU Wien's DBAI group and the Constraint Reasoning and Optimization group at the University of Helsinki. Dr. Wallner's research focuses on knowledge representation and reasoning, artificial intelligence, argumentation, abduction, belief change, inconsistency handling and measurement, computational social choice, computational complexity, Boolean satisfiability, and answer set programming. His work bridges theoretical foundations with practical applications, particularly in developing computational models for argumentation systems. He has made significant contributions to structured argumentation frameworks, including assumption-based argumentation and ASPIC+. His recent publications demonstrate a strong trend toward advancing algorithmic approaches to probabilistic argumentation, abstraction techniques in argumentation systems, and applications of argumentation in domains like healthcare. He has been particularly active in exploring the computational complexity of various argumentation semantics and developing efficient algorithms for reasoning tasks. Dr. Wallner has received multiple prestigious awards including being selected for the IJCAI 2024 Early Career Track (only 12 researchers globally selected), being named a Top Scholar by ScholarGPS in 2024 (top 0.5% worldwide in AI), and receiving the AI 2000 Most Influential Scholar Honorable Mention in Knowledge Engineering in 2021 and 2022. As Principal Investigator, Dr. Wallner has secured significant research funding from the Austrian Science Fund (FWF), including two major projects: "A Novel Computational Workflow for Argumentation in AI" (grant P 35632, 358,848 €) and "Extending Belief Change to Advance Dynamics in Argumentation" (grant P30168-N31, 353,438 €). He is highly active in the academic community, serving on program committees for major AI conferences including AAAI, IJCAI, KR, and ECAI, and was a member of the Program Committee Board of IJCAI (2022-2024). He leads the Knowledge Representation and Reasoning (KRR) research group at TU Graz, which develops both theoretical foundations and practical implementations for computational argumentation systems. The group has contributed to several software systems including CEGARTIX (a SAT-based argumentation system), Vispartix (visualization of argumentation frameworks), ADFsys (an ASP-based argumentation system for abstract dialectical frameworks), and others that implement various argumentation frameworks.

Ramin Hasaniمشاهده پروفایل

پژوهشگر

• Machine Learning
• Robotics
• Neural Networks
• +۳ مورد دیگر

Ramin Hasani is a researcher at TU Wien's Cyber-Physical Systems department. He holds a Dr.techn. (Doctor of Engineering) and specializes in machine learning applications for robotics, control systems, and biologically-inspired neural networks. His work focuses on developing interpretable neural architectures like Liquid Time-Constant Networks and Neural Circuit Policies, emphasizing safety and stability in autonomous systems. Hasani's research bridges neural network theory with practical robotics challenges, including autonomous racing, medical data analysis, and adversarial robustness. Key research areas include continuous-time neural networks, formal verification of neural ODEs, and bio-inspired control mechanisms derived from biological neural circuits (e.g., Caenorhabditis elegans). He collaborates extensively with institutions like MIT and ETH Zurich, contributing to projects in health-monitoring systems and end-to-end robot learning frameworks. His publications consistently address real-world challenges such as sepsis prediction via reinforcement learning and robust CNN architectures for image classification. Recent work highlights include developing stable recurrent networks through Gershgorin loss functions and advancing zero-shot transfer learning for autonomous systems. Hasani's interdisciplinary approach integrates principles from neuroscience, control theory, and machine learning to create auditable, high-performance AI solutions for cyber-physical environments.

• Floodplain and Restoration Ecology
• Biogeochemistry
• Ecosystem Services and Multifunctionality
• +۵ مورد دیگر

Martin Tschikof is a researcher at the Institute of Hydrobiology and Aquatic Ecosystem Management within the Department of Ecosystem Management, Climate and Biodiversity at the University of Natural Resources and Life Sciences, Vienna (BOKU). He currently coordinates the strategic cooperation between BOKU and the Environment Agency Austria (2024), with prior roles including Research Associate at BOKU (2018), WasserCluster Lunz (2018-2019), and guest researcher at the Leibniz Institute of Freshwater Ecology and Inland Fisheries (IGB) in Germany (2022). His doctoral dissertation (2020-2024) examined floodplain restoration impacts on water purification and multifunctionality in the Danube River Basin. His academic qualifications include: MSc. in Limnology and Wetland Management (2016-2018) from the joint program of BOKU University, IHE Delft, and Egerton University BSc. in Biology (Ecology) (2012-2016) from the University of Vienna Tschikof specializes in floodplain and restoration ecology , biogeochemistry , and ecosystem services multifunctionality , with fieldwork spanning Austria, Germany, and Danube Basin countries. His research integrates hydrological modeling, nutrient cycling analysis (particularly nitrogen and phosphorus retention), and socio-ecological frameworks to evaluate wetland management outcomes. Recent work emphasizes quantifying restoration trade-offs between regulating services (water purification) and cultural services (recreation, biodiversity) using basin-scale assessments. Publication trends (2020-2025) reveal consistent focus on floodplain multifunctionality indicators, denitrification modeling, and EU project applications (Restore4Life, DANUBE4all). Key themes include proxy-based assessment tools for restoration decision-making, socio-ecohydrological system evolution, and transnational prioritization of conservation areas using ecosystem service trade-off analysis. His scientific recognition includes: Reinhard Liepolt-Prize for Danube Research (2024) from the Austrian Committee of the International Association for Danube Research While no formal students or grants are documented, Tschikof has delivered 23 international lectures since 2019 across Austria (8), Germany (7), and six other nations, often as keynote speaker for Danube restoration initiatives. He actively contributes to EU Horizon projects, particularly Restore4Life's citizen science component for wetland assessment. He operates within BOKU's Hydrobiology Institute alongside WasserCluster Lunz and Leibniz IGB collaborators, focusing on the Danube River Basin. Current efforts prioritize upscaling floodplain restoration metrics through EU-funded consortia and developing practical tools for water quality management agencies.