جست‌وجوی استاد و پژوهشگر

• Nanodiamond Quantum Sensing
• Quantum Sensors
• Intracellular Parameter Measurement
• +۳ مورد دیگر

Dr. Yingke Wu serves as Group Leader of the Nanodiamond Group at the Max Planck Institute for Polymer Research (MPIP) in Mainz, Germany, a position he assumed in 2022 after completing his doctorate at the same institution. His academic qualifications include: Bachelor of Science in Polymer Materials and Engineering from Hebei University of Technology (Tianjin, China), 2014 Master of Science in Polymer Science and Engineering from Sichuan University (Sichuan, China), 2017 Doctorate from the Max Planck Institute for Polymer Research under Prof. Tanja Weil, 2021 Dr. Wu's research pioneers the application of nanodiamond quantum sensing technology for in-situ measurement and manipulation of intracellular parameters—including temperature, pH, and radical species—in living biological systems. His work addresses critical limitations of conventional nanoscale measurement techniques by developing sensors operable under physiological conditions, bridging quantum physics, polymer science, and medical diagnostics to solve fundamental challenges in understanding biological complexity. Analysis of his 2021-2022 publications reveals a concentrated research trajectory advancing nanodiamond-based quantum sensing for biomedical applications, with emphasis on hydrogen peroxide detection, intracellular thermometry, and light-controlled theranostic platforms. These works demonstrate cross-disciplinary innovation spanning chemistry, materials engineering, and clinical medicine, particularly in developing real-time intracellular monitoring tools for dynamic biological processes. Dr. Wu actively contributes to Collaborative Research Center SFB1279, which investigates the human peptidome for novel antimicrobial and anti-cancer therapeutic development. The Nanodiamond Group operates at the forefront of quantum biotechnology, developing next-generation sensing platforms that could transform fundamental biological research and clinical diagnostics through precise nanoscale environmental monitoring in living cells.

• Randomized algorithms
• Machine learning
• Big Data
• +۳ مورد دیگر

Devdatt Dubhashi is a Professor at the Data Science and AI 3 department at Chalmers University of Technology. His research spans multiple domains within computer science and data science, with a focus on theoretical foundations and practical applications of algorithms and machine learning. Professor Dubhashi's primary research interests include the design and analysis of randomized algorithms, machine learning for Big Data, and computational biology. His work demonstrates a strong interdisciplinary approach, connecting theoretical computer science with practical applications in diverse fields such as quantum computing, transportation modeling, genomics, and social sciences. His research often bridges the gap between theoretical foundations and real-world implementations, as evidenced by his numerous collaborations across different domains. Dubhashi's recent publications reveal a consistent research trajectory focusing on algorithmic foundations of machine learning, with increasing emphasis on interdisciplinary applications. His work shows significant contributions to bandit algorithms, kernel methods, graph-based learning, and the theoretical understanding of deep learning models. There's also a growing focus on societal implications of AI, as seen in his publications addressing responsible AI development and policy considerations. Among his notable scientific contributions are publications in prestigious venues including ACM, IEEE, and Nature journals, covering topics from fundamental algorithm design to applications in computational biology and social sciences. His work has been cited extensively across multiple disciplines, reflecting its broad impact. Professor Dubhashi actively supervises PhD students and collaborates with researchers across Chalmers and internationally. His research group appears to focus on the intersection of theoretical computer science and practical machine learning applications, with projects spanning quantum computing, transportation modeling, and biological applications.

• Military Science
• Drone Warfare
• Security Studies
• +۳ مورد دیگر

Dr. Ori Swed serves as a Research Fellow at the Modern War Institute (MWI) of the United States Military Academy (West Point), contributing to contemporary military scholarship through evidence-based analysis of emerging warfare technologies. His research centers on Drone Warfare and Security Studies , with specific expertise in tactical drone integration by state militaries (e.g., Israel Defense Forces) and adoption patterns among violent non-state actors. This work intersects Military Technology , International Relations , and Terrorism Studies , addressing how unmanned aerial systems reshape modern conflict dynamics and security paradigms. Dr. Swed's recent publications reveal a focused trajectory on empirical analysis of drone proliferation, emphasizing real-world case studies to derive strategic insights for military adaptation. His scholarship aligns with MWI's mission to advance understanding of 21st-century warfare through interdisciplinary research. As a Research Fellow, he operates within MWI's independent research framework at West Point, producing work that represents professional academic discourse without reflecting official U.S. Army or Department of Defense positions.

• Nursing
• Home Care
• Nursing Education
• +۲ مورد دیگر

Mirjam Aschwanden serves as a Lecturer and Head of the Bachelor's in Nursing program at the Institute for Nursing and Interprofessionalism within the School of Social Work at Lucerne University of Applied Sciences and Arts since 2025. Her professional background bridges clinical nursing leadership and academic instruction, with prior executive roles in Swiss home care services and military nursing operations across multiple institutions. Education: Master of Science in Nursing (2024), Kalaidos University of Applied Sciences Switzerland, Zurich Bachelor of Science in Nursing (2020), Kalaidos University of Applied Sciences Switzerland, Zurich Certified Nursing Specialist DN 2 (2003), Vocational School for Nursing Neumünster, Zollikerberg Research Focus: As a recognized Spitex expert, her work centers on practical nursing challenges in home care environments. She investigates vascular access complications, quality assurance systems, and patient safety protocols through both clinical practice and academic curriculum development, emphasizing evidence-based solutions for community healthcare settings. Scholarly Contributions: Her 2024 NEVAM Congress presentation demonstrates active engagement in translating clinical home care challenges into academic discourse, particularly regarding vascular access management. This reflects her dual commitment to frontline nursing practice and educational innovation within Swiss healthcare contexts. Professional Leadership: Currently directing the Bachelor's Nursing program, she shapes future nursing professionals while maintaining active membership in the Academic Society Spitex Pflege and Association for Nursing Science VfP since 2019. Her career trajectory shows consistent progression from clinical roles to academic leadership with strong industry connections.

David Krackhardtمشاهده پروفایل

استاد

• Organizational Behavior
• Social Network Analysis
• Power and Conflict Management
• +۲ مورد دیگر

David Krackhardt is a Professor affiliated with the H. John Heinz III College and the Tepper School of Business at Carnegie Mellon University. His research focuses on organizational behavior, social network analysis, power dynamics, and statistical methodologies. He explores how networks influence conflict resolution, stress propagation, and career trajectories within organizations. Notable contributions include studies on friendship paradox applications, privacy-sensitive network interventions, and the structural basis of gang violence. His work bridges theoretical insights with practical implications for public policy, healthcare efficiency, and organizational design. Education & Background: While specific education details aren’t provided, his expertise spans decades in interdisciplinary research at top institutions. Research Interests: Krackhardt’s work emphasizes the intersection of social structures and human behavior. He investigates how networks mediate stress transmission, career advancement, and innovation adoption. His methodologies often involve advanced statistical models and graph theory, applied to diverse contexts like emergency medical teams, corporate hierarchies, and international conflict patterns. Key Themes in Publications: Recent articles address network-driven contagion control, organizational project dynamics, and privacy-preserving interventions. His 2025 studies on entrepreneurial leadership and newcomer socialization highlight the role of ‘sticky ties’ in rivalrous environments. Earlier work on balance theory (2020) and healthcare networks (2021) underscores his interdisciplinary reach. Awards & Grants: No specific awards are listed, though his frequent collaboration with institutions suggests sustained research funding. Labs/Teams: While not explicitly detailed, his affiliations imply involvement with interdisciplinary teams at the Heinz College and Tepper School.

• Computer Science
• Formal Methods
• Programming Languages
• +۱ مورد دیگر

André de Matos Pedro is an Assistant Professor in the Department of Computer Science at the University of Beira Interior. He teaches courses including Teoria da Computação (Theory of Computation), Programação Funcional (Functional Programming), and Segurança e Fiabilidade de Software (Software Security and Reliability). His research focuses on formal methods, runtime verification, and programming language theory. His publication record shows consistent focus on formal verification methods applied to real-time and embedded systems. Recent work emphasizes runtime monitoring frameworks, SAT/SMT-based verification techniques, and applications in safety-critical domains like autopilot systems. The research trajectory demonstrates increasing emphasis on practical applications of temporal logic and co-simulation testing platforms.

Savin Ivanمشاهده پروفایل

دانشیار

• economics of innovation
• environmental economics
• climate policy
• +۴ مورد دیگر

Savin Ivan is an Associate Professor of Quantitative Analytics at ESCP Business School's Madrid Campus, where he teaches Advanced Statistics, Machine Learning, and Innovation and Business Ideas courses. He also directs the Master in Management (MiM) specialization in 'AI and Robotics,' contributing significantly to the school's quantitative analytics curriculum and research initiatives. Education: PhD in Economics (2011) from Justus Liebig University of Giessen (Chair of Econometrics) Habilitation (2017) at KIT with thesis titled 'Applications of Evolutionary Optimization and Modelling in Economics' Savin Ivan's research spans multiple interconnected fields at the intersection of economics, environmental policy, and computational methods. His primary focus centers on the economics of innovation, where he examines how technological change and creative processes drive economic development. He has made significant contributions to environmental economics, particularly regarding climate policy effectiveness and implementation challenges. His work on complex systems applies evolutionary and agent-based modeling approaches to understand economic dynamics that traditional models cannot capture. His research on evolutionary economics explores how economic systems evolve through processes analogous to biological evolution, with particular attention to innovation diffusion and technological trajectories. His methodological expertise in machine learning and computational linguistics enables sophisticated analysis of large datasets related to climate policy and economic behavior. His recent publications reveal a clear trend toward interdisciplinary climate policy research that combines computational linguistics with environmental economics. A significant portion of his work analyzes the content of international climate commitments using text mining techniques. He increasingly investigates the social dimensions of climate policy, examining public opinion, cultural factors, and behavioral responses to different policy instruments. His research also demonstrates growing interest in the intersection of AI and climate policy, including comparing expert recommendations with AI-generated advice. Many of his papers employ agent-based modeling to simulate complex policy scenarios that traditional economic models cannot adequately address. Savin Ivan has built a substantial research portfolio with over 75 articles published in JCR-indexed international journals, including prestigious outlets such as Nature Sustainability, Nature Communications, Proceedings of the National Academy of Sciences, and numerous field-specific journals in innovation economics and climate policy. His work appears consistently in Q1 and D1 ranked journals, demonstrating both academic rigor and relevance to pressing societal challenges. Prior to joining ESCP, Ivan held postdoctoral positions at ICTA-UAB working on the ERC project EVOCLIM, where he studied climate policy effectiveness using public and expert surveys combined with artificial intelligence methods. He previously contributed to the KIT-BETA project on general-purpose technologies, creativity, and sustainability, and served as a postdoctoral researcher at Friedrich Schiller University in the Graduate College 'The Economics of Innovative Change.'

Debbie Harrisonمشاهده پروفایل

استاد

• Inter-organisational relationships
• Network dynamics
• Business relationship governance
• +۴ مورد دیگر

Debbie Harrison holds the position of Professor in the Department of Strategy and Entrepreneurship at BI Norwegian Business School. She has been affiliated with BI since 2001, starting as a postdoctoral researcher, becoming Associate Professor in 2004, and assuming her current role in 2017. Her academic journey includes a PhD from Lancaster University (1998) and a Bachelor's degree from Liverpool John Moores University (1994). Her research focuses on inter-organisational relationships, network dynamics, and strategic initiatives in complex business networks. Key themes include resource interaction, contractual governance, network governance mechanisms, and sustainability challenges. She has pioneered studies on how organizations adapt to environmental regulations and manage resource deficiencies during disruptions. Harrison teaches courses such as 'Industrial Networks' and 'Strategic Leadership,' emphasizing practical application of network theory. Her recent work explores distributed control mechanisms in circular economies and blockchain-enabled networks. Over 27 publications reflect her contributions to industrial marketing and strategic management, with collaborations across Europe and North America.

Marcin Hernesمشاهده پروفایل

مدرس

• Artificial Intelligence
• Machine Learning
• Production Management Systems
• +۷ مورد دیگر

Marcin Hernes is a Lecturer and Head of the Department of Process Management at Wrocław University of Economics. He also serves as Director of the Center for Intelligent Management Systems. His academic career spans undergraduate, graduate, and postgraduate teaching, alongside extensive research collaboration. He is actively involved in national and international conferences, and holds memberships in IEEE, the Polish Association of Artificial Intelligence, and the Scientific Society for Economic Informatics. His research interests include artificial intelligence, cognitive technologies, machine learning, and decision support systems in production and management contexts. Education details are not explicitly stated in the provided text, but his professional trajectory indicates advanced academic qualifications. His research focuses on resolving knowledge conflicts in multi-agent systems, optimizing production processes, and leveraging AI for business sustainability. He has developed dozens of software applications for industrial and public administration use cases, emphasizing practical technological solutions. Hernes supervises doctoral students and maintains active engagement with the socio-economic environment through collaborative projects. His consultations are held on Wednesdays, and master's seminars are conducted remotely via MS Teams with specific schedules for full-time and part-time students. Notably, he has pioneered frameworks integrating cognitive architecture into financial decision support systems and contributed to ERP 4.0 systems aligning with Industry 4.0 standards. His work emphasizes sustainability across domains, from reducing urban carbon footprints through cloud technology to environmental life cycle costing in network organizations. He has also addressed challenges in supply chain management, such as the Forrester effect reduction, and explored blockchain applications in public administration digital transformation.

• Computer Networking
• Machine-to-Machine Communications
• IoT (Internet of Things)
• +۴ مورد دیگر

Gianluca Rizzo is an Adjunct Professor at HES-SO Valais-Wallis, affiliated with the Higher School of Management (Haute Ecole de Gestion) and the Internet of Things (IoT) department linked to EPFL. He holds a Computer Science Bachelor's degree from UC3M University in Madrid. His research focuses on IoT, vehicular communications, AI-driven network optimization, and disaster-resilient systems. Education: Computer Science BSc (UC3M University, Madrid) Affiliations: HES-SO Valais-Wallis, EPFL IoT Group, RECODIS (Post-Disaster Communications Lab) His work spans energy-efficient networking, opportunistic content dissemination (Floating Content), and distributed learning techniques. Key contributions include optimizing multi-agent systems in dynamic environments, developing gossip learning frameworks for urban trajectory prediction, and analyzing SWIPT (Simultaneous Wireless Information and Power Transfer) in vehicular networks. He also explores emergency networks for post-disaster scenarios, leveraging technologies like UAVs and floating content for situational awareness. Recent publications emphasize AI-native vehicular communications, edge computing orchestration, and infrastructure savings via moving base stations. Collaborative projects include V-Edge (virtual edge computing) and the NOSE nomadic sensing ecosystem. His work bridges theoretical models (e.g., stochastic geometry) with practical implementations, addressing challenges in 5G/6G, smart cities, and industrial IoT.

Markus Menzمشاهده پروفایل

استاد

• Strategic Leadership
• Corporate Strategy
• Organization Design
• +۳ مورد دیگر

Markus Menz is a Full Professor of Strategic Management and former Dean (2021–2025) at the Geneva School of Economics and Management (GSEM), University of Geneva. He previously served as Vice Dean for Development (2017–2021) and implemented the 'Geneva Advantage' strategy, securing AACSB accreditation and redeveloping executive education programs. Prior to Geneva, he was an Assistant Professor at the University of St. Gallen (2009–2015), where he received the Credit Suisse Award for Best Teaching. His research focuses on strategic leadership, corporate governance, and organization design, examining roles like Chief Strategy Officers and Board Chairs. He founded the Geneva Center for Corporate Governance in 2020 to promote evidence-based governance practices. Education: Ph.D. (summa cum laude), Habilitation, and M.A. from the University of St. Gallen. He also spent time as a Visiting Fellow at Harvard University. His work appears in top journals like Academy of Management Annals, Strategic Management Journal, and Harvard Business Review. Research Interests: Senior leadership roles, corporate strategy formulation, organizational structure optimization, and the impact of digital technologies and sustainability on corporate governance. He collaborates with diverse industries, from startups to multinationals. Awards: Multiple distinctions from the Swiss National Science Foundation, Credit Suisse Teaching Award, and editorial roles in journals such as Long Range Planning and Journal of Management. Teaching & Leadership: Developed programs like the Executive MBA and Master’s in Management. Serves as an advisor, board member, and keynote speaker, emphasizing responsible leadership education.

Wenfa Kangمشاهده پروفایل

پژوهشگر

• Microgrids
• Power Systems
• Renewable Energy Integration
• +۳ مورد دیگر

Wenfa Kang is a Postdoctoral Researcher at Aalborg University's Faculty of Engineering and Science, working within the Electric Power Systems and Microgrids research group. His research focuses on advanced control strategies for power systems, particularly in the areas of microgrids, grid-forming converters, and renewable energy integration. Dr. Kang's research interests span several critical areas in modern power systems, with emphasis on microgrid operation and planning , grid-forming converter control , fractional-order control systems , energy storage integration , and power system resilience . His work addresses challenges in renewable energy integration, particularly focusing on maintaining stability in systems with high penetration of inverter-based resources. His recent publications (2023-2025) demonstrate a clear research trajectory focusing on advanced control strategies for grid-forming converters, microgrid planning considering natural disasters, and condition monitoring of power electronic components. A significant portion of his work involves fractional-order control techniques for improving power system stability, with multiple publications in IEEE Transactions on Industrial Electronics. His research also extends to practical applications in Indonesia and Ethiopia, showing international collaboration and real-world impact. Dr. Kang is actively involved in the LastWind project (2023-2026), which focuses on Large-Scale Integration of Wind Power Generation in Ethiopia, demonstrating his commitment to addressing energy challenges in developing regions. His work bridges theoretical control concepts with practical power system applications, particularly in contexts where grid stability is challenged by high renewable penetration.

Mitchell de Sousaمشاهده پروفایل

مربی

• Urban Planning
• Urban Mobility
• Urban Management
• +۳ مورد دیگر

Mitchell de Sousa is an architect and PhD candidate at the Technical University of Berlin specializing in autonomous urban management strategies for Argentine contexts, while serving as an Assistant Researcher at the University of Buenos Aires' Faculty of Architecture, Design and Urbanism and Tutor for the Dual Degree Master program in Urban Planning and Mobility. His work bridges German academic rigor with Argentine urban challenges through collaborations with CETAM and ISR research centers. Education: Architect, University of Buenos Aires Postgraduate Studies in Urban Planning and Mobility, Dual Degree Master (University of Buenos Aires and Technical University of Berlin) De Sousa's research critically examines urban mobility systems within popular and informal economies, developing place-based territorial management tools for Latin American municipalities. His work integrates spatial analysis of urban boundaries with socio-economic studies of marginalized communities, emphasizing practical applications for municipal practitioners in contexts like Trelew's 'Planta de Gas' neighborhood and Buenos Aires' Riachuelo River basin. His publication trajectory reveals consistent thematic evolution from 2018-2021, progressively deepening interdisciplinary connections between landscape architecture, urban mobility, and popular economy frameworks. The research demonstrates methodological innovation through participatory mapping of urban boundaries and visual sociology approaches, consistently targeting practical urban intervention strategies rather than purely theoretical contributions. Scientific Awards: Riachuelo en transformación. Hacia un nuevo estatus urbano de lugar, ACUMAR, Argentina As a Master's program Tutor, De Sousa directly mentors students in urban planning methodologies while conducting field research through institutional partnerships with CETAM and IGEOPAT. His academic guidance focuses on translating theoretical mobility frameworks into context-specific Argentine applications, supported by the dual institutional framework of Technical University of Berlin's Institute for Urban and Regional Planning and UBA's Faculty of Architecture. De Sousa operates within three key research ecosystems: CETAM (Transportation Studies Center) at UBA for mobility economics research, ISR (Superior Institute of Urbanism) for territorial management frameworks, and IGEOPAT at National University of Patagonia for Patagonian urban case studies, creating a unique transnational research network focused on Latin American urban challenges.

• Hardware Trojan Design
• Netlist Reverse Engineering
• Neuro Engineering
• +۲ مورد دیگر

Alexander Hepp serves as a Lecturer at the Chair of Security in Information Technology, Technical University of Munich (TUM), where he contributes to both teaching and cutting-edge hardware security research. His current teaching responsibilities include C++ Lab, Embedded Systems and Security, and Strategic Management for Engineers, where he acts as primary lecturer for the latter course. His research centers on hardware trojan design/identification and netlist reverse engineering within the chair's broader security initiatives. His research portfolio demonstrates deep specialization in hardware security vulnerabilities, with emphasis on hardware trojan insertion/detection methodologies and reverse engineering countermeasures. Recent work explores neuro engineering applications and RISC-V-based security implementations, often leveraging open-source hardware frameworks. His publications reveal consistent innovation in hardware obfuscation techniques and netlist analysis tools, addressing critical gaps in pre-silicon security validation. His 12 publications from 2021-2024 show strong focus on hardware security conferences like DATE and DDECS, with recurring themes in trojan detection, reverse engineering challenges, and cryptographic hardware validation. The research trajectory indicates growing emphasis on practical countermeasures against physical attacks and standardized vulnerability assessment frameworks. Scientific Awards: Best Paper Award at DDECS 2022 for 'Hardware Obfuscation of Digital FIR Filters' No verifiable information exists regarding student advising or grant funding in available sources. He operates within Prof. Sigl's research ecosystem which actively pursues projects in fault attacks, IoT security, physical unclonable functions, and post-quantum cryptography implementations, with recent work emphasizing hardware reverse engineering challenges in advanced semiconductor designs.

• Wireless Sensor Networks
• Robotics
• Cognitronics
• +۷ مورد دیگر

Dr. Marc Hesse serves as Team Leader of the Cognitronics & Sensor Technology Group at Bielefeld University's Faculty of Engineering and is also a Board member of the Center for Cognitive Interaction Technology (CITEC). His work bridges engineering, robotics, and sensor technology with practical applications across multiple domains. Dr. Hesse's research spans wireless sensor networks, robotics, machine learning applications, and Industry 4.0 technologies. His work focuses on developing practical solutions for real-world problems, including physiological monitoring systems, UWB localization in challenging environments, and edge computing applications for smart grids and manufacturing. He has made significant contributions to educational robotics through the AMiRo platform, which integrates research and teaching in robotics education. His publication record shows consistent output across multiple domains, with recent work emphasizing machine learning applications in sensor networks, edge computing implementations, and digital twin technologies. The research demonstrates a trajectory from fundamental sensor and system design to applied implementations in agriculture, healthcare, and industrial settings. Dr. Hesse collaborates extensively across disciplines and institutions, with publications spanning biomedical engineering, robotics, electrical engineering, and sports science. His work often addresses the practical challenges of implementing theoretical concepts in real-world environments with resource constraints.