جست‌وجوی استاد و پژوهشگر

• Quantum Software Engineering
• Cyber-Physical Systems
• Digital Twin Technologies
• +۳ مورد دیگر

Dr. Shaukat Ali is a leading researcher at Simula Research Laboratory (Certus Software V&V Center, Norway), with a PhD from the University of Oslo . His work bridges quantum software engineering and cyber-physical systems (CPS) validation, focusing on digital twins, autonomous vehicles, and healthcare IoT applications. Collaborates with institutions like South Dakota State University, COMSATS University, and Mohammad Ali Jinnah University Co-developed tools: QuCAT (Quantum combinatorial testing), DeepScenario (autonomous driving datasets), and EvoCLINICAL (medical digital twin evolution) Research spans quantum software testing (IBM quantum computers), uncertainty-aware validation of medical devices, and search-based optimization in CPS. His 2025 work introduces quantum circuit mutants, uncertainty-wise test oracles, and foundational models for digital twin creation. Publications in journals like ACM Transactions on Software Engineering and conferences including ICSE , GECCO , and IEEE Quantum Software reflect his interdisciplinary approach. Current projects address quantum software robustness, LLM-driven scenario realism, and safe adaptation in robotics.

Klaus Jahnمشاهده پروفایل

استاد

• Neurology
• Vertigo
• Balance Disorders
• +۶ مورد دیگر

Professor Klaus Jahn serves as a Senior Physician and Research Group Leader at Ludwig-Maximilians-Universität München (LMU), where he directs neurorehabilitation research at the German Center for Vertigo and Balance Disorders (DSGZ). He also holds the position of Head of Department of Neurology at Schoen Clinic Bad Aibling. His work bridges clinical practice and academic research in the field of neurological movement disorders with a particular focus on balance and gait pathologies. Dr. Jahn's research centers on sensorimotor control of posture and gait following neurological injuries, including stroke, traumatic brain injury, and vestibular system disorders. His interdisciplinary team employs advanced methodologies including structural and functional neuroimaging, gait analysis, posturography, and sensor-based movement tracking to investigate movement disorders in neurological patients. His work aims to develop evidence-based interventions to improve functional outcomes in patients with neurological impairments. Analysis of Professor Jahn's publications reveals a consistent focus on clinical neurology with particular emphasis on vertigo, balance disorders, and gait abnormalities across the lifespan. His research spans from fundamental investigations of locomotor networks to clinical applications in rehabilitation, with a growing interest in pediatric vestibular disorders in recent years. Much of his work involves collaborative, multinational research efforts addressing diagnostic criteria and treatment approaches for neurological conditions. Professor Jahn maintains an active research program with continuous funding from prestigious sources including the German Research Ministry (BMBF) and the European Union. He mentors students including Theresa Raiser and Katherina Volkening, contributing to the next generation of neurology researchers and clinicians. His research group operates as an interdisciplinary collaboration between basic scientists, clinicians, and physical therapists, reflecting the comprehensive approach needed to address complex neurological rehabilitation challenges. The DSGZ platform serves as a hub for translational research connecting laboratory findings with clinical applications in neurorehabilitation.

Vikram Unnithanمشاهده پروفایل

استاد

• Geology
• Applied Geophysics
• Marine Geophysics
• +۹ مورد دیگر

Prof. Dr. Vikram Unnithan is a Professor of Geoscience at the School of Science , Constructor University Bremen (formerly Jacobs University Bremen). With a doctorate from University College Dublin (2001) and an MSc equivalent from Utrecht University , his academic background spans geology, geophysics, and applied geophysics. Research Interests : As a marine geologist and applied geophysicist, Unnithan focuses on Hydrocarbon exploration and seismic interpretation Gas hydrate systems and fluid transport models Planetary geosciences and lunar cave detection Geo-informatics and GIS data analysis Cold-water coral studies and marine habitat mapping Recent Publications highlight interdisciplinary work on planetary analog environments (Vulcano Island, Lanzarote), gas hydrate dynamics in deep-sea fans (Nile Deep-Sea Fan), and advanced robotic exploration tools (DAEDALUS systems). His teaching portfolio includes 20+ years of curriculum development for courses in sedimentology, marine geophysics, and GIS, with annual marine excursions on the German Research Vessel Heincke. Professional Affiliations include memberships in American Association of Petroleum Geologists (AAPG) American Geophysical Union (AGU) Society of Exploration Geophysicists (SEG) European Association of Geologists and Engineers (EAGE) German Geophysical Association German Geological Association (GV) Leadership Roles : Unnithan has served on multiple institutional committees including the Faculty IT Committee (2005–2015), Undergraduate Admission Committee (2008–2018), and as an ombudsman (2013–present). His work bridges marine geophysics with planetary exploration through collaborations with the European Space Agency and DAEDALUS robotics projects.

Günter Deilerمشاهده پروفایل

استاد

• Manufacturing Engineering
• Robotics
• Welding Technology
• +۲ مورد دیگر

Prof. Dr.-Ing. Günter Deiler is a Professor in the Engineering program at Bremerhaven University of Applied Sciences. His teaching focuses on Manufacturing Engineering, including modules such as Technical Drawing, Robotics, Welding Technology, and Design Theory. He holds office at An der Karlstadt 6, Room Z0170, and is reachable via email or scheduled appointments. Research interests align with his teaching expertise, emphasizing practical applications in advanced manufacturing processes and robotics. He is a KUKA-certified instructor for the Robotics Driver's License course, specializing in robot handling, kinematics, and industrial applications. He collaborates with external institutions like the SLV Hannover on training programs for Welding Engineers. No specific grants, awards, or lab affiliations are detailed in the provided information.

Aryaman Reddiمشاهده پروفایل

پژوهشگر

• Multi-Agent Reinforcement Learning
• Game Theory
• Cognitive Science
• +۴ مورد دیگر

Aryaman Reddi is a PhD student at TU Darmstadt affiliated with the Intelligent Autonomous Systems (IAS) group within the Department of Computer Science . He is also associated with the JMU Würzburg LiteRL Lab and the Hessian Centre for Artificial Intelligence . Reddi earned his BA and MEng in Information and Computer Engineering from the University of Cambridge , where his Master's thesis explored deep Q-learning for game strategies under bounded rationality. His research focuses on multi-agent reinforcement learning , game theory , and bounded rationality , aiming to enhance agent generalizability and dynamic obstacle avoidance. His work intersects deep learning and cognitive science with applications in robotics and humanoid systems . Key publications include contributions to the ICLR 2024 conference and the CoRL 2024 LocoLearn Workshop , both addressing adversarial reinforcement learning under bounded rationality frameworks. Reddi is actively involved in academic collaboration, working with researchers like Prof. Carlo D'Eramo at TU Darmstadt and Prof. Glenn Vinnicombe at Cambridge. His projects explore robot learning algorithms , humanoid motion planning , and AI ethics in autonomous systems.

Jörn Kiselevمشاهده پروفایل

استاد

• Physiotherapy
• Geriatrics
• Frailty in Older Adults
• +۷ مورد دیگر

Jörn Kiselev is a Professor of Physiotherapy at Hochschule Fulda, Faculty of Health Sciences, where he has been serving since April 2023. Prior to this, he was a post-doctoral researcher and project manager at the Department of Anesthesiology with a focus on surgical intensive care at Charité – Universitätsmedizin Berlin, working on the PRÄP-GO prehabilitation project. He holds a Dr. rer. medic. from Charité and academic degrees in Physiotherapy from Philipps-Universität Marburg and Hochschule Fulda. Research Interests: His work centers on improving health outcomes in older adults, particularly focusing on frailty, fall prevention, prehabilitation before surgery, functional mobility, and stair-climbing ability. He also explores innovative diagnostic tools such as acoustic emission analysis for osteoarthritis and digital health applications for mobility assessment. Recent Research Trends: His recent publications (2023–2019) reflect a strong emphasis on clinical and translational research in geriatric physiotherapy. Many studies involve interdisciplinary collaboration and use mixed-methods or randomized trial designs. Key themes include validating assessment tools (e.g., mHealth apps, gait analysis devices), understanding mobility limitations, and developing interventions for frail elderly patients, especially in perioperative contexts. Scientific Engagement: Member of the S3 guideline group for perioperative care of frail patients Delegate of the German Association of Physiotherapy (ZVK) Member of the German Society for Physiotherapy Sciences (DGPTW) Advising and Grants: While no direct students are listed, his leadership in the PRÄP-GO project indicates experience in mentoring junior researchers and managing funded research. His affiliations with Charité and BASE-II suggest involvement in large-scale, multi-institutional studies, likely supported by national or institutional grants. Labs and Teams: He has collaborated with research groups at Charité, including the Geriatrics Research Group led by Prof. Steinhagen-Thiessen, and has worked on technology validation projects involving sensor-based assessment chairs (aTUG) and mobile health apps. His work reflects strong ties to both clinical and engineering research teams focused on aging and mobility.

Jayabadhrinath Krushnanمشاهده پروفایل

پژوهشگر

• Robotics
• Industrial Engineering
• Mechanical Engineering
• +۳ مورد دیگر

Jayabadhrinath Krushnan is a researcher at the Faculty of Mechanical Engineering , Schmalkalden University of Applied Sciences. His work focuses on robotics , Industry 4.0 , and educational module development . Key research areas: Robotics , Industrial Engineering , Digitalization in Education Labs: Robotics Applications , Industry 4.0 Benchmarking Publications highlight MicroROS-based robot controllers , soft robotic systems , and self-optimized industrial plants , with a focus on educational applications. His 2016 work on metal-bonded fullerenes demonstrates interdisciplinary interest in materials science. 2023: Soft robotics and Industry 4.0 benchmarking 2022: Low-cost Industry 4.0 educational plant Collaboration with Prof. F. Schrödel and others indicates team-based research in applied mechanics and educational technology.

Volker Schwiegerمشاهده پروفایل

استاد

• Geodesy
• Engineering Geodesy
• Integrative Computational Design and Construction
• +۴ مورد دیگر

Volker Schwieger is a Professor at the Institute of Engineering Geodesy , affiliated with the Faculty of Aerospace Engineering and Geodesy at the University of Stuttgart . As a Principal Investigator in the Cluster of Excellence IntCDC, he focuses on integrating geodetic measurement technologies into computational design and construction workflows, with emphasis on robotic control, 3D scanning, and quality modeling. Key research areas: Geodesy, Computational Design, Robotics in Construction, Quality Assurance Notable projects: RP 16-1 (Robotic Assembly), RP 18-1 (Holistic Quality Model), AP 7 (Space-Time Point Cloud Modeling) Recent publications demonstrate his work in terrestrial laser scanning (TLS) for deformation analysis, point cloud processing algorithms, and holistic quality models for sustainable construction. He collaborates with institutions like Technical University of Munich and contributes to applications in bio-composites, timber structures, and climate-resilient urban planning. His methodological innovations include patch-based M3C2 analysis and supervoxel registration techniques. Despite extensive research output, no specific awards or educational background details are mentioned in the provided texts.

AnnaLisa Meyboomمشاهده پروفایل

دانشیار

• Architectural Design
• Digital Fabrication
• Robotics in Architecture
• +۷ مورد دیگر

AnnaLisa Meyboom is an Associate Professor at the University of British Columbia (UBC) in the School of Architecture and Landscape Architecture (SALA), where she also serves as Director of the Transportation Infrastructure and Public Space Lab (TIPSlab). Her work bridges architecture, digital fabrication, and urban informatics, with a focus on autonomous vehicles and sustainable design. Education: M.Arch (UBC), BASc (University of Waterloo). Research Interests: Autonomous vehicle impacts on urban form, robotic wood fabrication, responsive architecture, and design capital in infrastructure. Professional Activities: Frequent international conference speaker and contributor to journals and books like Design Capital: The Hidden Value of Design in Infrastructure and Driverless Urban Futures . Her publications reflect trends in autonomous mobility , digital fabrication , and urban infrastructure , emphasizing interdisciplinary approaches to integrating technology, sustainability, and social value into architectural practice. She has no listed scientific awards but is actively involved in academic and design communities as a lecturer and critic at institutions like Harvard, the University of Stuttgart, and others.

Armin Lechlerمشاهده پروفایل

پژوهشگر

• Automation Technology
• Industrial Robotics
• Control Systems
• +۴ مورد دیگر

Armin Lechler , holding the title of Dr.-Ing. , is a Senior Researcher at the Institute for Control Engineering of Machine Tools and Manufacturing Units (ISW) at the University of Stuttgart. He is also a key member of the Cluster of Excellence IntCDC (Integrative Computational Design and Construction for Architecture). His work focuses on control engineering, automation technology, and robotics, with a particular emphasis on data-driven manufacturing systems and cyber-physical platforms.

Fabian Kannenbergمشاهده پروفایل

پژوهشگر

• Computational Design
• Fiber Composite Architecture
• Sustainable Construction
• +۳ مورد دیگر

Fabian Kannenberg is a doctoral researcher and research associate at the Institute for Computational Design and Construction (ICD) at the University of Stuttgart, affiliated with the Cluster of Excellence IntCDC and Collaborative Research Center CRC 1683 . His work bridges computational design, fiber composite structures, and sustainable construction through interdisciplinary projects involving robotics and AI. Education: M.Sc. in Architecture (ITECH program), Diploma of Advanced Studies (AISA) Research Focus: Computational co-design frameworks, reciprocal feedback between design/engineering/fabrication, fiber-based materials, and form-aware reuse of concrete elements Key Projects: Maison Fibre, Hybrid Flax Pavilion, BUGA Wood Pavilion, and CRC 1683 A01 His publications highlight innovations in filament winding , reinforcement learning for robotics , and data-driven design optimization . Awards include the Lightweight Structures Award , German Design Award , and Architectural Intelligence Best Paper Award . He contributes to teaching in Robotic Fabrication and Computational Design .

• Computer Science
• Databases
• Distributed Systems
• +۴ مورد دیگر

Shahram Ghandeharizadeh is a Professor at the University of Southern California , specializing in Computer Science with a focus on databases, distributed systems, and multimedia. His research spans caching middleware, flying light specks for 3D displays, and swarm robotics. Recent work includes CAMP (cache eviction policies), Disaggregated Database Management Systems , and Flight Patterns for Swarms of Drones , reflecting his expertise in data management and swarm-based technologies. He has collaborated extensively with researchers like Hamed Alimohammadzadeh and Hieu Nguyen . His scientific awards include the ACM Software System Award (2008) , recognizing long-term contributions to software systems. Publications since 2021 highlight advancements in cache management, graph databases, and swarm robotics, with a strong emphasis on non-volatile memory and decentralized frameworks.

Sebastian Schwabمشاهده پروفایل

مدرس

• Sports Psychology
• Sport Informatics
• Sports Games Research
• +۴ مورد دیگر

Dr. Sebastian Schwab is a lecturer at the German Sport University Cologne, affiliated with the Institute of Exercise Training and Sport Informatics where he leads research in Sport Informatics and Sports Games. His academic work focuses on sports psychology, youth soccer development, and sports technology innovation. Research Focus: Primary research domains include sports psychology (motivational studies, visual perception in sports), youth soccer development (competition systems, coaching methodologies), and sports informatics (technology integration in training). His work employs interdisciplinary approaches connecting sports science with technology and education. Awards & Recognition: Wo Kicker Körbe werfen Research Prize (2022) Research Projects: Key initiatives include: Motivation in Sports (ongoing psychophysiological study) Sport-Vision-Training (technology-enhanced training methods) DFG Psychophysiol.Analyse (completed biomarker research) Ballschule Sponsoren (youth sports development program) He maintains active research collaborations within the Sport Informatics research group and contributes to sports policy development through media engagements.

• Blockchain Technology
• Sustainable Energy Systems
• Data Management
• +۷ مورد دیگر

Jorge Marx Gómez is affiliated with the Carl von Ossietzky University of Oldenburg , Germany. As a researcher, he contributes to interdisciplinary domains spanning blockchain technology , sustainable systems , artificial intelligence , and smart agriculture . His research explores blockchain applications for regulatory compliance (e.g., electronic bills of lading, GDPR-enforcing systems), machine learning for internal auditing and environmental data analysis, and computer vision in precision livestock farming. Recent work includes 5G-enabled smart farming dashboards and environmental information portals with citizen participation. Analysis of his 15 most recent publications reveals a focus on technology-driven sustainability , combining NLP , data lakes , and multimodal models to optimize resource efficiency, transportation safety, and agricultural practices. Trends emphasize cross-sectoral integration of emerging technologies. His collaborations span institutions in Germany and Latin America, with co-authors like Hauke Precht , Felix Kruse , and Manuel Mora Tavarez . Publications appear in venues such as EnviroInfo , HICSS , and CENTERIS .

• Cultural Algorithms
• Evolutionary Computation
• Artificial Intelligence
• +۵ مورد دیگر

Robert G. Reynolds is a Professor of Computer Science at Wayne State University's College of Engineering, where he leads pioneering research in Cultural Algorithms and evolutionary computation. With over 197 publications spanning from 1982 to 2024, he has established himself as a leading authority in computational intelligence and socially-inspired optimization techniques. His work bridges computer science, social modeling, and practical applications across diverse domains including education, healthcare, and archaeology. Reynolds' research interests center around Cultural Algorithms, which he developed as a framework for modeling how cultures solve problems through social learning and knowledge transmission. His work extends to evolutionary computation, swarm intelligence, and agent-based modeling, with applications ranging from virtual reality educational systems to medical imaging analysis. He has published the influential book 'Culture on the Edge of Chaos - Cultural Algorithms and the Foundations of Social Intelligence' (2018) that formalized his theoretical contributions. His recent publications (2022-2024) demonstrate continued innovation in applying Cultural Algorithms to diverse challenges including STEM education through virtual reality environments, medical image analysis, economic modeling, and climate change impact assessment. These works consistently show his approach of integrating social dynamics into computational problem-solving frameworks. Among his notable scientific contributions is the development of the Cultural Algorithms framework as a comprehensive approach to optimization and problem-solving that incorporates social dimensions often missing in traditional evolutionary algorithms. His work has influenced numerous researchers in the field of computational intelligence. Professor Reynolds has mentored numerous students who have become frequent collaborators, including Mostafa Z. Ali, Thomas Palazzolo, Sarah Saad, and Chencheng Zhang. His research has been supported by various grants that have enabled the development of projects like the Deep Dive Virtual Reality system for exploring ancient submerged civilizations and educational applications of AI. His laboratory work focuses on developing the Cultural Algorithms Toolkit (CAT) and applying it to real-world problems through virtual environments that simulate social and cultural dynamics. Current projects include extending Cultural Algorithms for trustable AI systems and developing more sophisticated models of cultural knowledge transmission.