Find Academic Supervisors

• Wireless Communications
• Information Theory
• UAV Networks
• +3 more

Dr. Yulin Hu serves as a Visiting Professor at RWTH Aachen University, holding the Chair of Information Theory and Data Analytics. His research program bridges theoretical foundations with practical implementations in next-generation wireless systems, with particular emphasis on UAV-aided networks and information-theoretic approaches to communication challenges. His core research interests span multiple interconnected domains: Wireless Communications (especially finite blocklength regimes) Information Theory applications in network design UAV trajectory optimization and network integration Wireless power transfer with nonlinear energy harvesting Edge computing and distributed learning systems Data analytics for network performance optimization Analysis of Dr. Hu's 2025 publication record reveals a concentrated research thrust on UAV trajectory design, where he develops joint optimization frameworks addressing energy efficiency, security, and reliability constraints. His work consistently integrates information-theoretic principles—particularly finite blocklength analysis—to solve practical challenges in ultra-reliable low-latency communications (URLLC) and wireless power transfer. A distinctive feature of his approach is the fusion of deep reinforcement learning with traditional optimization methods for dynamic network scenarios, including no-fly zone constraints and covert operations. While no specific scientific awards are documented in the available materials, his prolific output across top-tier venues demonstrates significant scholarly impact. Details regarding graduate student mentoring and research funding mechanisms remain unspecified in the current documentation. The Chair of Information Theory and Data Analytics, which Dr. Hu leads, functions as a specialized research unit focused on theoretical rigor and algorithmic innovation for wireless systems, though specific laboratory infrastructure or team composition details are not provided.

• Migration Research
• Transnationalism
• Diversity Studies
• +5 more

Boris Nieswand is Professor of Sociology with a focus on Migration and Diversity at the University of Tübingen, where he has served since September 2017, and became Deputy Director of the Institute in 2024. Previously, he was Junior Professor of Sociology at the same institution from April 2012 to September 2017. His academic journey includes significant research positions at the Max Planck Institute for Social Anthropology in Halle/Saale and the Max Planck Institute for the Study of Religious and Ethnic Diversity in Göttingen. His research focuses on migration and diversity research, urban studies, cultural sociology, and the sociology of morals. He has conducted extensive ethnographic research projects across Europe, Africa, and Latin America. Nieswand's work is characterized by a reflexive approach to migration studies and an interest in moral dimensions of social life in diverse societies. Nieswand's recent publications reflect his ongoing interest in moral dynamics, urban diversity, and crisis research. His work often examines how threat perceptions shape social boundaries and how moral frameworks influence migration discourse. The articles show a consistent trajectory examining the intersection of migration, diversity, and moral ordering in contemporary societies. Thomas A. Herz Prize for Qualitative Social Research of the German Sociological Association (2016) Nieswand has been actively involved in the Collaborative Research Center SFB 923 "Threatened Orders" since 2011, working on projects examining urban diversity in the Global South. He has supervised numerous PhD students and contributed significantly to theoretical developments in migration research, particularly through his work on the "reflexive turn" in migration studies. His book "Keplerstrasse 2: Innenansichten geisteswissenschaftlicher Forschung" (2024), co-authored with historian Ewald Frie, provides insights into humanities research practices and the dynamics of academic collaboration.

Lukas HermannView profile

Researcher

• Robot Learning
• Deep Reinforcement Learning
• Self-Supervised Learning
• +3 more

Lukas Hermann is a PhD researcher at the Autonomous Intelligent Systems group within the Department of Computer Science at the University of Freiburg. He collaborates with Prof. Dr. Wolfram Burgard and Prof. Thomas Brox, focusing on robot learning and autonomous systems . University of Freiburg: 2011–2019 (B.Sc. and M.Sc. in Computer Science) Current role: Researcher in Robotics & AI (since 2020) Research Interests: Robot Learning Deep Reinforcement Learning Self-Supervised Learning Language-Conditioned Policy Learning Sim-to-Reality Transfer Article Trends: Lukas's publications focus on language-driven robotic imitation learning, adaptive curriculum generation for sim-to-real transfer, and unsupervised dynamics modeling. His work addresses challenges in autonomous manipulation, visual servoing, and data-efficient policy learning using optical flow and structured representations. Projects: CALVIN: Benchmark for language-conditioned long-horizon tasks FlowControl: Optical flow-based visual servoing Bike Navigation in Rome: Safe/easy route planning Adaptive Curriculum Generation for Sim-to-Real Vision-Based Robotic Manipulation with Natural Policy Gradients

Carsten KlemptView profile

Professor

• Quantum Optics
• Atom Optics
• Ultracold Quantum Gases
• +5 more

Carsten Klempt is an apl. Prof. (extraordinary professor) at the Institute of Quantum Optics within the Faculty of Mathematics and Physics at Leibniz University Hannover. He serves as Group Leader of the Quantum Atom Optics research group, focusing on ultracold quantum gases and quantum entanglement. His research has significant implications for quantum metrology, atom interferometry, and quantum information processing. Education: 2002: Diploma in Physics from the Johannes Gutenberg University 2001-2002: Diploma thesis at the Institute of Nuclear Physics, University of Mainz "Construction and testing of a BaF2 detector" 1998-1999: Studied at the University of Washington (Seattle) 1996-2002: Physics studies at the Johannes Gutenberg University Mainz 2003-2007: Doctorate at the Institute of Quantum Optics "Interaction in Bose-Fermi quantum gases" 2012: Habilitation in the Faculty of Mathematics and Physics at Leibniz University Hannover: "Nonclassical states in ultracold quantum gases" Professor Klempt's research primarily focuses on quantum optics and atom optics , with particular emphasis on ultracold quantum gases , Bose-Einstein condensates , and quantum entanglement . His work explores the fundamental properties of quantum systems at extremely low temperatures, investigating phenomena such as quantum phase transitions, spin dynamics, and nonclassical states in atomic ensembles. A significant portion of his research addresses practical applications in quantum metrology and precision measurement, developing techniques for atom interferometry and quantum-enhanced sensing. His recent publications demonstrate a strong focus on quantum state tomography , quantum entanglement , and quantum metrology , with particular attention to number-resolved detection of quantum states and the development of advanced techniques for quantum-enhanced measurements. Klempt's work bridges fundamental quantum physics with practical applications in precision measurement technology. Scientific Awards: Lower Saxony Science Prize 2013 (Young Scientist Category) Professor Klempt leads the Quantum Atom Optics group at Leibniz University Hannover, where he supervises numerous PhD students and postdoctoral researchers. His research has been supported by significant funding, including his role as Head of a Junior Research Group in the Cluster of Excellence "Centre for Quantum Engineering and Space-Time Research" (QUEST) from 2008-2013. His work contributes to major collaborative projects such as ELGAR (European Laboratory for Gravitation and Atom-interferometric Research) and SAGE (Space Atomic Gravity Explorer). The Quantum Atom Optics laboratory under Professor Klempt's leadership focuses on experimental investigations of ultracold atomic systems, particularly spinor Bose-Einstein condensates. The group develops advanced techniques for quantum state preparation, manipulation, and measurement, with applications ranging from fundamental tests of quantum mechanics to practical quantum sensors for precision measurements.

• Catalysis
• CO₂ Valorization
• Kinetic Modeling
• +4 more

Dr. Sofia Angeli is a Group Leader at the Institute of Catalysis Research and Technology (IKFT), Karlsruhe Institute of Technology (KIT), Germany, since March 2024. Previously, she held roles as Senior Scientist/Group Leader (2021–2024) and Postdoctoral Researcher (2017–2019) at KIT. Her research focuses on catalysis for energy transition, CO₂ valorization, kinetic modeling, and digitalization of catalytic processes. She leads interdisciplinary projects integrating experimental and computational methods to advance sustainable chemical processes. PhD in Chemical Engineering (2016): Aristotle University of Thessaloniki, Greece. Thesis: Hydrogen production via intensified methane steam reforming processes. M.Sc. in Advanced Materials (2012): Aristotle University of Thessaloniki. Diploma in Chemical Engineering (2009): Aristotle University of Thessaloniki. Research Interests : Sofia’s work spans kinetic modeling, CO₂ conversion, catalytic pollutant removal, and digital tools for catalysis research. She develops novel catalysts for methane reforming and designs data management systems like Adacta and CaRMeN to streamline reaction mechanism analysis. Her projects often address industrial challenges in emissions reduction and renewable energy. Her recent publications emphasize catalytic processes for energy sustainability (e.g., methane oxidative coupling) and automated modeling frameworks. She collaborates widely, contributing to journals like Chemical Engineering Journal and ACS Catalysis . Advising & Teams : As a Group Leader, she oversees researchers in catalysis and data-driven processes. Her team works on cutting-edge projects supported by KIT’s infrastructure and interdisciplinary networks. Labs/Teams : Active in the IKFT and the Deutschmann Group, focusing on catalyst design and process intensification.

• Perception and correction of misinformation
• Remembering false information
• Processing information on social media
• +3 more

Nicole Antes is a Researcher and PhD student at the Leibniz Institute for Knowledge Media (IWM) in Tübingen, Germany, working in the Perception and Action lab and the Realistic Depictions lab since December 2021. She is affiliated with the University of Tübingen and has established herself as a promising researcher in cognitive psychology with focus on misinformation processing and memory mechanisms. Education: M.Sc. in Cognitive Science, University of Tübingen (2021) B.A. in Media and Business Psychology, HMKW Berlin Antes' research centers on how people process and remember true versus false information, with particular emphasis on the cognitive mechanisms behind misinformation effects. Her work investigates how veracity cues (information about whether statements are true or false) affect memory accuracy and confidence judgments, how false information persists in memory even after correction (the Continued Influence Effect), and how social media platforms influence the spread and correction of misinformation. She examines how factors like information presentation order, modality differences, and content type impact the discrimination between true and false information in memory. Her publication record reveals a sophisticated research program exploring the intersection of cognitive psychology and real-world misinformation challenges. The research demonstrates how temporal sequencing of information, cross-modal presentation formats, and content specificity all influence memory for veracity. Her work bridges foundational cognitive science with practical applications for developing effective misinformation correction strategies in digital environments. Antes has taught an experimental psychology practical course at the University of Tübingen during the summer semester of 2024 and served as the PhD Representative at IWM from January to December 2024. She co-organized the 2025 workshop 'Combating Misinformation in the Digital Age: Cognitive Biases, Societal Challenges and Ethical Considerations' at the Leibniz Institute for Knowledge Media, bringing together researchers from psychology, political science, and ethics to address misinformation from interdisciplinary perspectives. As a core member of both the Perception and Action lab and Realistic Depictions lab at IWM, Antes conducts controlled experimental research while maintaining relevance to real-world misinformation challenges. Her current project 'Mental representation of scenes: Discriminability of true and false information' (2021-2024) directly addresses how people mentally represent and distinguish between accurate and inaccurate information about events.

Götz NeuneckView profile

Professor

• Arms Control
• Disarmament
• Nuclear Weapons
• +11 more

Götz Neuneck serves as a Senior Research Fellow at the Institute for Peace Research and Security Policy (IFSH) and Professor at the MIN Faculty of the University of Hamburg. His expertise spans arms control, disarmament, nuclear weapons, missile defense, space armament, verification, science diplomacy, and new technologies. From 2008 to 2018, he directed the postgraduate Master's program in Peace and Security Studies at the University of Hamburg. Neuneck holds a physics diploma from Düsseldorf (1984) and a doctorate in mathematics (Dr. rer. nat. 1985) from the University of Hamburg. His academic career began with work in the Max Planck Society's research group under Horst Afheldt and Carl-Friedrich von Weizsäcker in Starnberg, followed by research assistantship at IFSH under Egon Bahr. His research focuses on technology assessments based on security and peace policy criteria in specific fields including missiles, space, unmanned systems, nuclear weapons, and missile proliferation in conflict regions such as Asia and the Middle East. His work bridges scientific analysis and policy application through Track Two diplomacy channels like Pugwash and Amaldi conferences, as well as direct government consulting. Neuneck's recent publications reveal a consistent focus on emerging security challenges, particularly space weaponization, nuclear arms control crises, cyber security governance, and the application of new technologies like AI to security frameworks. His work demonstrates increasing concern about the erosion of established arms control architectures and the need for innovative approaches to verification and confidence-building. Elected foreign member of the Russian Academy of Sciences Elected foreign member of the Armenian Academy of Sciences Pugwash Representative of the German Association of Science and Technology Amaldi Representative of the Union of German Academies of Sciences Spokesperson for the Physics and Disarmament Working Group of the German Physical Society Neuneck actively advises governmental bodies, having provided expert opinions for the Bundestag and participated in UN-related processes. He currently coordinates the trilateral Deep Cuts Commission on nuclear arms control and leads projects on new technologies and future warfare with special emphasis on AI, autonomy, and networking. His work connects academic research with practical policy applications through international scientific networks and Track Two diplomacy channels.

• Artificial Intelligence
• Machine Learning
• Computer Vision
• +5 more

Bo Wang is an active academic researcher primarily affiliated with multiple Chinese institutions, with strong connections to Tsinghua University, Beijing Jiaotong University, and other leading Chinese universities. His research spans artificial intelligence, machine learning, computer vision, medical image analysis, and intelligent control systems, demonstrating significant interdisciplinary work across computer science, engineering, and biomedical applications. Primary institutional affiliation: School of Computer Science and Technology at multiple Chinese universities Active research areas: AI/ML applications in healthcare, computer vision, federated learning, and intelligent control systems Extensive publication record across top-tier venues in multiple disciplines Wang's research interests focus on the intersection of artificial intelligence and practical applications. His work demonstrates strong expertise in developing novel machine learning architectures for medical image analysis, including applications in CT imaging, MRI, and sperm tracking. He has made significant contributions to federated learning approaches for large language models, sliding mode control systems, and molecular optimization frameworks. His research consistently bridges theoretical advances with practical implementations across healthcare, manufacturing, and environmental monitoring domains. Analysis of Wang's recent publications reveals a strong trend toward interdisciplinary AI applications, particularly in medical imaging and bioinformatics. His work on VAE-GANMDA for microbe-drug association prediction, ACE-QSM for accelerating MRI acquisition, and text-guided molecular optimization demonstrates innovative approaches at the intersection of AI and life sciences. Wang also maintains active research in industrial applications including digital twin technology for energy systems and robust scheduling approaches for multi-factory production. Notable research contributions include: FLFT: A Large-Scale Pre-Training Model Distributed Fine-Tuning Method with Federated Learning VAE-GANMDA: Microbe-drug association prediction model ACE-QSM: Accelerating quantitative susceptibility mapping using diffusion models Digital twin-empowered power consumption prediction systems Wang actively collaborates with researchers across China and internationally, with publications spanning computer science, engineering, medical imaging, and environmental science journals. His work demonstrates strong technical depth across multiple AI methodologies while maintaining focus on practical applications that address real-world challenges in healthcare, manufacturing, and environmental monitoring.

• Network Protocols Engineering
• Cybersecurity
• Distributed Systems
• +3 more

Klaus Wehrle is a Professor of Computer Science and Head of the Communication and Distributed Systems Group (Informatik 4) at RWTH Aachen University. He holds a diploma (1999) and doctorate (2002) from the University of Karlsruhe (now KIT). His research focuses on network protocols, cybersecurity, and distributed systems, funded by DFG, ERC, EU, and industry. He leads the DFG Priority Program on Cyber-Physical Networking and holds ERC grants. Awards include Südwestmetall and FZI Dissertation Prizes. He serves on IEEE, ACM, and DFG committees. His work spans protocol engineering, network simulation, and reliable communication software. He advises the Department of Computer Science at RWTH and collaborates on projects like In-Network Computing and Industrial IoT security. His research addresses industrial systems, smart grids, and privacy-preserving data sharing.

Armando Walter ColomboView profile

Professor

• Cyber-Physical Systems
• Industrial Digitalization
• Industry 4.0
• +3 more

Prof. Dr. Armando Walter Colombo is a Professor at the Department of Technology, Electrical Engineering and Informatics at the University of Applied Sciences Emden/Leer. He leads the Institute I2AR as Scientific Director and coordinates the DAAD/DAHZ Binational Master in Industrial Informatics with the Universidad Tecnológica Nacional-FRRe in Argentina. His research focuses on Cyber-Physical Systems (CPS), Industrial Digitalization, Industry 4.0, and Smart Manufacturing. Key areas include asset administration shells, IoT integration, and sustainable industrial automation. He holds IEEE Fellow status and is a Distinguished Lecturer for the IEEE Systems Council. He has pioneered educational frameworks like T-CHAT and contributed to standards alignment (RAMI4.0, IEEE Industrial Agents). Recent publications emphasize Industry 4.0 compliance, digital twins, and AI in logistics. Responsibilities: DAAD Master Coordinator, Institute I2AR Director, and International Relations Officer. Awards: IEEE Fellow, Distinguished Lecturer (IEEE Systems Council). Grants & Partnerships: DAAD-funded binational programs, EU-funded PERFoRM projects. His work bridges academia and industry through platforms like the ICPS-based Digital Factory Lab, addressing SME digitalization and sustainable automation.

• Environmental Technology
• Renewable Energy Systems
• Biogas Production Optimization
• +5 more

Prof. Sven Steinigeweg is a Professor of Environmental Technology and Process Automation at the University of Applied Sciences Emden/Leer, affiliated with the School of Natural Science and Technology. His work focuses on sustainable energy systems, particularly biogas production optimization, CO2 capture, and hydrogen technology. He leads projects like H2Watt (Hydrogen on North Sea Islands) and Smart-RLT (Energy Efficiency in Air Handling Devices), funded by Interreg, the German Federal Environmental Foundation, and the EU. Research interests include flexible biogas plant operation, power-to-gas systems, and eco-efficient energy processes. Notable contributions address residual load management, anaerobic digestion modeling, microbial community dynamics, and life cycle assessment of technical processes. He collaborates on EU-funded initiatives such as HPEM2GAS (cost-effective PEM electrolysis) and Power2Flex (flexible renewable energy use). His publications span 2014–2019, emphasizing biogas flexibility, environmental impact analysis, and process automation. Key projects include Synflex (synergy effects in biogas plants) and Biomasstec-Raman (Raman spectroscopy for biogas monitoring). Prof. Steinigeweg’s research integrates modeling, experimental validation, and interdisciplinary approaches to advance sustainable energy solutions, with a focus on grid balancing, carbon utilization, and renewable integration.

Christof MenzelView profile

Professor

• Environmental Science
• Sustainability
• Life Cycle Assessment
• +3 more

Prof. Dr. Christof Menzel is a Professor in the Department of Nutritional Science at Niederrhein University of Applied Sciences. His research focuses on Life Cycle Assessment (LCA) of food systems, sustainability, and environmental impacts of food production and consumption. He leads projects such as JACK&05 (2016-2018) and Life Cycle Assessments (2014-present), emphasizing digital tools in education and sustainable practices. He has supervised numerous theses on topics like eco-balance of oat milk, kitas' meals, and coffee preparation systems. Awards include the Wissenschaftspreis 2023 and Nachwuchspreis 2021. He actively participates in university committees, including the Internal Accreditation Commission and Sustainability Advisory Board. Education: Advanced degrees in Mathematics and Environmental Science (implied from publications). Key Projects: LCA methodology development, RFID applications in food quality management, and educational technology integration. Teaching: Mathematics, statistics, and applied IT for nutritional science students. Grants: Funded by Stiftung zur Förderung der Qualität in Lehre und Studium (QV-Mittel) and EU Interreg programs. His research spans food packaging sustainability, consumer behavior analysis, and institutional catering systems. Collaborations with industry partners include dairy producers, bakeries, and food laboratories. He also contributed to the LowFett 30 dietary program evaluation and RFID-NRW-NL supply chain optimization. Recent work includes optimizing eco-balances for decentralized food production and introducing LCA tools like Umberto 11. His interdisciplinary approach bridges environmental science, food technology, and data analysis.

Swen GüntherView profile

Professor

• Process Management
• Innovation Management
• Lean Six Sigma
• +4 more

Prof. Dr. Swen Günther holds the Chair of Process and Innovation Management at HTW Dresden within the Faculty of Business Administration . His academic leadership spans teaching and research in production management, project management, process/quality management, and technology/innovation management. He oversees the Bachelor's and Master's programs in Industrial Engineering and collaborates with international partner universities like Satakunta/VAMK (Finland) and FH Burgenland (Austria). Education & Career: Günther earned his PhD (Dr. rer. pol.) from TU Dresden's Market-Oriented Management department. Prior to academia, he worked at Procter & Gamble in manufacturing and quality management (2008-2015). His research focuses on Lean Six Sigma, TRIZ Reverse, transfer indicators, and digitalization. He leads the BMBF-funded 'Transfer_i' project (2019-2021), developing transfer metrics for academia-industry collaboration. Research Interests: His work emphasizes systematic knowledge/technology transfer, digital transformation in processes, and innovative management methodologies. Recent studies address transfer indicators for universities, cost-benefit analyses of digital projects, and empirical research on management trends. Teaching & Advising: Over 50+ theses supervised (2018-2021) across process optimization, quality management, and innovation transfer. He advises companies on Lean/Six Sigma implementation and organizes industry excursions with firms like T-Systems MMS and König & Bauer. Professional Engagement: Member of German Society for Quality (DGQ) and Society for Organisation (GFO). Regularly publishes in journals like Qualität in der Wissenschaft and Zeitschrift für Organisation .

Siegfried BlechertView profile

Professor

• Homogeneous catalysis
• Organic synthesis
• Natural product synthesis
• +3 more

Prof. Dr. Siegfried Blechert is a Professor at the Institute of Chemistry, Technische Universität Berlin, specializing in homogeneous catalysis, organic synthesis, and natural product synthesis. He is affiliated with the Organic Chemistry Research Group within Faculty II (Mathematics and Natural Sciences). His research focuses include catalyst development, alternating copolymerizations, and substrate synthesis, with contributions to UniCat (Cluster of Excellence for Unifying Systems in Catalysis). His work emphasizes sustainable chemistry and photocatalytic processes, as evidenced by publications in journals like Energy Technology and Angewandte Chemie International Edition. Blechert’s lab has developed novel catalysts for reactions such as hydroamination and ring-closing metathesis. He collaborates with institutions like the Fritz Haber Institute and leads projects on energy-efficient chemical processes. Research interests span the design of microporous polymer networks, light-driven reactions, and transition metal complexes. His team investigates catalysts for hydrogen evolution and C-C bond formation, with applications in green chemistry and renewable energy. Blechert’s work bridges fundamental catalytic mechanisms with industrial applications, including collaborations with companies like ORAFOL Europe and B. Braun Melsungen AG. He has contributed to initiatives like the Green Chemistry East network, promoting sustainable chemistry in Eastern Germany. His publications highlight advancements in organocatalysts, carbon nitride semiconductors, and metal-organic frameworks, reflecting a commitment to both academic and applied research. Blechert’s group is involved in training programs, such as the ChemClub and ChemKids, fostering interest in chemistry among students. Despite no explicitly listed awards, his contributions to catalysis research have been recognized through institutional collaborations and funding in sustainable chemistry.

Henning TappeView profile

Professor

• Tax Law
• Public Finance Law
• Constitutional Law
• +4 more

Prof. Dr. Henning Tappe is a Professor of Public Law, German and International Tax Law at the University of Trier, Faculty of Law. He holds a doctoral degree from the University of Münster (2008) and habilitation (2012). Before joining Trier in 2014, he was a professor at the University of Osnabrück (2013–2014). His research focuses on tax law (constitutional and international dimensions), budget law, public debt law, and fiscal equalization. He is affiliated with organizations such as the German Society for Tax Law and the Trier Tax Forum. Education: Studied law at the University of Münster (LL.M. 2000), legal clerkship in Berlin (2000–2004), and completed his habilitation on tax law justification in 2012. His doctoral thesis on budget law earned the University of Münster's Dissertation Prize. Research interests include constitutional aspects of taxation, international tax harmonization, and public finance mechanisms. He teaches courses on income tax, VAT, corporate tax, and European tax law, emphasizing practical legal application through moot courts and case studies. Professional roles include advising on fiscal policy and contributing to debates on EU tax governance. His team includes researchers like Dr. Christian Wehmörner (VAT expert) and administrative support staff. He has supervised numerous students, including Sabrina Wortmann, Ferhat Kayhan, and others. Member: German Constitutional Law Professors' Association, German Tax Society, Trier Tax Forum Award: University of Münster Dissertation Prize (2008) Labs/Teams: Leads the Tax Law specialization program at Trier, collaborating with practitioners and offering interdisciplinary training in tax law and public finance.