Find Academic Supervisors

• Vehicle Dynamics
• Noise, Vibration and Harshness (NVH)
• Automotive Engineering
• +5 more

Professor Danijela Miloradović is a distinguished faculty member at the University of Kragujevac, Faculty of Engineering Sciences, Department of Motor Vehicles and Engines. She currently holds the position of Full Professor, having been promoted to this rank in 2022 after serving as Associate Professor (2017-2022) and Assistant Professor (2012-2017). Her extensive academic career spans over 25 years at the same institution, with progressive appointments from Research Associate in 1994 to her current position. Prof. Miloradović's research focuses primarily on vehicle dynamics, noise, vibration and harshness (NVH), steering and suspension systems, brake systems, and vehicle safety. Her work has significant practical applications in automotive engineering, particularly in improving vehicle performance, safety, and environmental impact. She has made notable contributions to understanding the interaction between steering and suspension systems, brake noise problems, and vehicle vibration comfort. Her publication record is impressive, with over 50 scientific and professional papers, including numerous articles in prominent international journals. Her research has evolved from fundamental vehicle dynamics studies to more specialized areas like brake wear particle emissions and their environmental impact. Recent work shows a strong focus on sustainable automotive technologies and environmental considerations in vehicle design. Among her notable recognitions are the KSME award for the second best paper in JMST magazine (2017) and the "Editor's Choice Article" award from the journal "Machines" (2022). She has also received early career recognition as the best student at the Faculty of Mechanical Engineering in 1990 and for excellent academic achievement in 1994. Prof. Miloradović has been actively involved in mentoring doctoral students, serving as mentor for Aleksandar Poznić's doctoral dissertation and participating in numerous doctoral defense committees. She has also contributed significantly to educational development through textbook writing, curriculum design, and supervision of numerous academic courses in vehicle dynamics and related fields. Her leadership extends to administrative roles including serving as Vice-Dean for Teaching (2012-2015), Head of the Department of Motor Vehicles and Engines, and currently as President of the Faculty Council of the Faculty of Engineering Sciences. She has also played key roles in organizing international conferences and serving on accreditation committees for academic programs.

Miguel Ramirez GonzalezView profile

Researcher

• Power Systems
• Renewable Energy Integration
• Machine Learning
• +5 more

Dr. Miguel Ramirez Gonzalez is a Researcher at the Zurich University of Applied Sciences (ZHAW) , affiliated with the School of Engineering and the IEFE Electric Power Systems and Smart Grids department. His research focuses on modern power system challenges, including renewable integration, stability enhancement, and machine learning applications for grid security. Research Focus Dr. Gonzalez's work spans: Power System Dynamics : Inertia quantification, stability assessment, and oscillation damping. Renewable Integration : Grid-forming converters, HVDC links, and solar/wind integration. Computational Methods : Machine learning (CNNs, transfer learning) for security assessment and optimization. Real-time Simulation : Hardware emulation and co-simulation of transmission-distribution networks. Project Leadership He leads key initiatives: Deputy Project Leader for inertia measurement to support renewables (ongoing). Project Leader for expanding the CE-Nordic dynamic grid model using OPAL-RT (completed). Team member in Europe-North Africa interconnection studies (completed). Publication Trends His 15 most recent works (2020-2025) emphasize machine learning-driven solutions for power system stability, real-time simulation validation, and converter-based grid support. Dominant themes include CNN architectures for security assessment, spatio-temporal data analytics, and hardware-in-the-loop testing for low-inertia systems. Laboratory & Collaboration He contributes to the IEFE laboratory, specializing in dynamic hardware emulation and real-time grid simulation. Collaborations include work with international utilities and conferences like IEEE PowerTech and CIGRE.

Jürgen SchumacherView profile

Professor

• Electrochemical energy systems
• Redox flow batteries
• Proton exchange membrane fuel cells (PEMFC)
• +3 more

Prof. Dr. Jürgen Schumacher is Professor at the ZHAW School of Engineering and heads the research focus Electrochemical Cells & Energy Systems . Stationed in Winterthur, Switzerland, he spearheads numerous national and European projects aimed at advancing electrochemical energy conversion and storage technologies. Research Interests His work integrates multiscale modeling with experimental validation to address critical challenges in: Redox flow batteries – organic and hydrogen–bromine chemistries, membrane optimization, and system-level performance models. Proton exchange membrane fuel cells (PEMFC) – two-phase transport, water management, durability under heavy-duty cycles, and degradation coupling. Photoelectrochemical devices – band-structure engineering, optical and carrier-transport modeling for solar water splitting and dye-sensitized solar cells. Porous electrode theory – upscaling from pore-scale to macroscopic descriptions, Monte-Carlo and continuum approaches. Publication Trends Since 2014, his peer-reviewed output has concentrated on physics-based modeling frameworks that bridge electrochemical kinetics, transport phenomena, and material microstructure. Journal of Power Sources and Electrochimica Acta host the majority of his recent articles, reflecting a clear focus on flow batteries and PEMFC durability . A noticeable trend is the coupling of performance and degradation models , enabling predictive lifetime assessment. Ongoing Projects High-throughput screening & synthesis of active materials for flow batteries – Project leader. Robust PEMFC MEAs for heavy-duty applications – Project leader. Doctoral network on micro-process engineering for electrosynthesis – Project leader. Labs & Teams At ZHAW, Prof. Schumacher directs an interdisciplinary team combining electrochemical engineers , numerical modelers , and material scientists . The group operates state-of-the-art facilities for in-situ diagnostics , micro-computed tomography , and high-performance computing clusters dedicated to large-scale simulations of complete cells and stacks.

Wei XiongView profile

Associate Professor

• Materials design and discovery
• Integrated computational materials engineering (ICME)
• CALPHAD thermodynamics and kinetics
• +7 more

Wei Xiong is the William Kepler Whiteford Faculty Fellow and Associate Professor in the Department of Mechanical Engineering and Materials Science at the University of Pittsburgh Swanson School of Engineering . Since founding the Physical Metallurgy and Materials Design (PMMD) Laboratory in 2016, he has led a multidisciplinary team that couples CALPHAD-based ICME with high-throughput experiments and additive manufacturing to create high-performance alloys for extreme environments. Education & Career Path Ph.D., Materials Science – KTH Royal Institute of Technology, Sweden (2012) Research Associate – University of Wisconsin–Madison (2012–2013) Research Associate – Northwestern University (2013–2016) Associate Professor & William Kepler Whiteford Faculty Fellow – University of Pittsburgh (2016–present) Research Interests Dr. Xiong’s research integrates computational thermodynamics (CALPHAD), kinetic modeling , and data-driven materials informatics to accelerate the design of advanced alloys. Core themes include: Phase equilibria and transformations in multi-principal element alloys Process-structure-property relationships in additive manufacturing High-temperature oxidation and corrosion resistance Space-qualified materials and extreme-environment performance Publication Trends & Impact With an h-index of 35 and >150 peer-reviewed papers since 2016, the PMMD Lab’s output spans Nature , Science Advances , Acta Materialia , and leading additive-manufacturing journals. Recent work emphasizes uncertainty quantification, machine-learning-guided alloy design, and real-time process monitoring via in-situ diagnostics. Scientific Awards & Honors ASTM AM CoE Young Professional Award in Additive Manufacturing (2024) NSF CAREER Award (2021) TMS Early Career Faculty Fellow Award (2021) APDIC Best Paper Award (2021) CALPHAD Young Leader Award (2020) Acta Materialia Outstanding Reviewer Award (2020) TMS FMD Young Leader Professional Development Award (2015) CALPHAD Journal Best Paper Awards (2012, 2013) Grants & Funding Dr. Xiong’s research is continuously supported by federal and industrial sponsors, including: NASA – High-performance space alloys via additive manufacturing Air Force Office of Scientific Research (AFOSR) – Extreme-environment materials Office of Naval Research (ONR) – Naval alloy development National Science Foundation (NSF) – CAREER and collaborative awards Department of Energy (DOE) & ARPA-E – Fossil-energy materials Nuclear Energy University Program (NEUP) – Radiation-resistant steels Laboratory & Team The Physical Metallurgy and Materials Design (PMMD) Laboratory operates >20 active research projects, hosts 5-year average PhD timelines, and has produced 3 best-graduate-student awards and 4 best-paper awards. The lab maintains collaborations with national laboratories (Argonne, NIST), federal agencies, and industry leaders (Caterpillar, GM, Thermo-Calc Software Inc.).

Valerie PinfieldView profile

Professor

• Physical acoustics
• Wave propagation
• Material characterisation
• +9 more

Professor Valerie Pinfield is a distinguished academic at Loughborough University, where she serves as Professor of Ultrasonics and Complex Materials and Associate Pro-Vice-Chancellor for the Doctoral College. She has held several leadership positions including Head of the Department of Chemical Engineering (2017-2020), Director of Student Experience for the School of Aeronautical, Automotive, Chemical and Materials Engineering (2023-2024), and Acting Dean for the School (Sept 2024-Aug 2025). Her academic journey began with postdoctoral research at the Universities of Leeds and Nottingham before joining Loughborough University as a Lecturer in 2012, where she was awarded a personal chair in 2023. Professor Pinfield's educational background includes: MA in Natural Sciences from the University of Cambridge PhD in Food Science from the University of Leeds With a mathematical physics background, Professor Pinfield has developed a broad spectrum of research interests focused on the intersection of physical acoustics, materials science, and digital technologies. Her work spans from fundamental investigations of wave propagation through complex media to applied research in sustainable energy systems. She is particularly known for her contributions to understanding multiple wave scattering in soft complex materials, which has applications in material characterization and metamaterial design. Her recent research has expanded into machine learning and digitalization for material design and process optimization, with a strong emphasis on electrochemical technologies for sustainable energy. Professor Pinfield leads significant infrastructure and facilities projects in hydrogen technologies, spanning from sustainable propulsion for transport through materials development and testing to production and storage technologies. This work positions her at the forefront of research addressing global challenges in energy transition and sustainability. An analysis of Professor Pinfield's recent publications reveals a clear trajectory toward integrating advanced computational methods with traditional physics-based approaches. Her work increasingly combines machine learning with multi-physics modeling to address complex problems in energy systems and materials science. The focus on CO2 reduction and capture technologies demonstrates her commitment to addressing pressing environmental challenges through innovative engineering solutions. Her research bridges fundamental physics with practical applications in sustainable technologies. Professor Pinfield has received significant recognition for her contributions to academia and science: Fellow of the Institute of Physics (FInstP) Chartered Physicist (CPhys) Fellow of the Higher Education Academy (FHEA) As Associate Pro-Vice-Chancellor for the Doctoral College, Professor Pinfield plays a pivotal role in shaping the doctoral education experience at Loughborough University. She is deeply committed to developing future professionals in engineering and beyond through teaching, research mentorship, and academic leadership. Her industry experience at the Welding Institute and Cadbury Ltd provides valuable practical perspective to her academic work and student development initiatives. Professor Pinfield's research group contributes significantly to the university's strategic focus areas including Net Zero, Digital Engineering, and Sustainable Manufacturing and Circular Economy. Professor Pinfield leads research groups focused on ultrasonics, complex materials, and sustainable energy technologies. Her work connects with several research centers at Loughborough University that focus on hydrogen technologies, sustainable manufacturing, and digital engineering. These interdisciplinary teams bring together expertise from physics, engineering, computer science, and materials science to tackle complex challenges in energy and sustainability.

Stanley BakView profile

Assistant Professor

• Cyber-Physical Systems
• Neural Network Verification
• Formal Methods
• +3 more

Stanley Bak is an Assistant Professor in the Department of Computer Science at Stony Brook University, where he has been a faculty member since Fall 2020. His research focuses on developing practical formal methods for verifying safety-critical autonomous systems, with emphasis on scalability and real-world applicability in cyber-physical and neural network domains. His educational background includes: Bachelor's in Computer Science from Rensselaer Polytechnic Institute (2007, summa cum laude) Master's in Computer Science from University of Illinois at Urbana-Champaign (2009) Ph.D. in Computer Science from University of Illinois at Urbana-Champaign (2013) Dr. Bak's research centers on formal verification of cyber-physical systems and neural networks , developing theoretical foundations, efficient tools, and experimental systems to ensure safety in autonomy. His work bridges abstract mathematical methods with practical engineering challenges, particularly in aerospace and autonomous vehicle applications where failure is unacceptable. Analysis of his 2023-2025 publications reveals dominant trends in scalable verification techniques using polynomial zonotopes for reachability analysis, Koopman operator linearization for nonlinear systems, and abstract domain development (hexatope/octatope) for neural networks. His contributions to the VNN-COMP competitions demonstrate leadership in benchmarking neural network verification tools. His scientific recognition includes: Founders Award of Excellence (2004) for undergraduate research at RPI Debra and Ira Cohen Graduate Fellowship (2008, 2009) from UIUC SMART Scholarship (2009-2013) Dr. Bak leads the CAREER-funded project "Verified AI in Cyber-Physical Systems through Input Quantization" (2023) and previously co-founded Safe Sky Analytics for verification consulting. His teaching includes graduate courses CSE 510 and CSE 643, and he actively mentors students in formal methods research. Prior to Stony Brook, he served as a Research Computer Scientist at the US Air Force Research Lab (2013-2018) and taught at Georgetown University. His work integrates with Stony Brook's AI Innovation Institute, focusing on verification methodologies for autonomous systems where theoretical guarantees meet real-world deployment requirements.

• Intelligent Transport Systems
• Location-Based Services
• Software and Hardware Integrated Navigation Systems
• +7 more

Saleh Hadi Mohammed is an Associate Professor at the Faculty of Computer Science , National Research University Higher School of Economics (HSE), where he has worked since 2015. With over 10 years of academic experience, his expertise spans software engineering, blockchain systems, and intelligent transport technologies. Candidate of Technical Sciences (2013) Engineer in 'Computers, Complexes, Systems and Networks' (2008) Professional training in Moodle-based distance learning Research interests include: Intelligent transport systems and location-based services Software/hardware navigation integration and blockchain applications Cloud services, mobile app development, and MLOps platforms His recent publications analyze MLOps scalability, blockchain donation tracking, and AI-driven navigation for visually impaired users. Notable collaborations involve Springer, IEEE, and CEUR Workshop Proceedings. Scientific awards : Gratitude from HSE Faculty of Computer Science (2024) As a thesis supervisor , he has guided 15+ students in projects ranging from fraud detection to mobile education apps. He also leads SmartMLOps , HSE’s AI service deployment platform (2024), and participated in the Administrative Personnel Reserve Program (2024-2025).

• Operating System Verification
• Formal Methods
• Software Security
• +7 more

Alexander Konstantinovich Petrenko is a Professor at the Faculty of Computer Science of the National Research University Higher School of Economics (HSE), where he has been working since 2009. He serves as the Academic Director of the educational program 'System Programming' and is affiliated with the Basic Department 'System Programming' of the Institute for System Programming named after V.P. Ivannikov of the Russian Academy of Sciences (ISP RAS). With 42 years of scientific and teaching experience, he holds a Doctor of Physical and Mathematical Sciences degree (2004) and was awarded the academic title of Professor in 2011. His research focuses on verification and validation technologies, formalization of interface standards, and free software/open standards. His work primarily centers on operating system security, formal methods in software engineering, and system programming. He has made significant contributions to runtime verification of operating systems, access control models, and security policy integration. Professor Petrenko's publication record demonstrates a consistent focus on formal methods for operating system verification, with recent work emphasizing security by design principles, dynamic verification techniques, and integration of multiple security models (RBAC, MIC, MLS). His research bridges theoretical computer science with practical applications in system security and reliability. Letter of thanks from the Vice-Rector of HSE (November 2021) Gratitude from the Faculty of Computer Science of HSE (August 2017) With extensive experience across multiple institutions including the Keldysh Institute of Applied Mathematics (1974-1994), the Institute of System Programming of the Russian Academy of Sciences (since 1994, as head of the Department of Programming Technologies since 2004), and Moscow State University (since 1999, as professor since 2004), Professor Petrenko has established himself as a leading expert in system programming and formal verification. He has contributed significantly to educational programs in software engineering that recently achieved professional accreditation. His work spans both theoretical foundations and practical applications in system security, with strong connections to industry needs through his involvement with the Institute for System Programming and collaborations on real-world security challenges.

Andrew R. BrownView profile

Professor

• Creative AI
• Algorithmic music and art
• Interaction design
• +3 more

Andrew R. Brown is a Professor at Griffith University's Queensland College of Art and Design , with a focus on Creative AI, algorithmic music/art, and interaction design. He leads the Creative Arts Research Institute and co-authored Making Music with Computers: Creative Programming in Python . His research spans computational creativity, digital music tools, and technology's philosophical dimensions. Education : PhD (UQ 2004), Master of Education (U. Melbourne 1993), Graduate Diploma in Computer Science (Deakin 1990), Bachelor of Education (Melbourne CAE 1984). Research Themes : Brown bridges music, computer science, and design through projects like low-cost DIY grooveboxes (OnBoard Quadra), live-coding performance systems, and AI-assisted creative frameworks. His work examines how constraints in technology foster innovation and democratize artistic expression. Recent Publications emphasize accessible electronic instruments, algorithmic pattern generation, and intersections between handmade hardware and digital fabrication. He has secured significant ARC Discovery Project grants and internal university funding for interactive media research. Supervision includes doctoral candidates exploring AI collaboration in art, sonic expression through costume instruments, and open-source design pathways. He also delivered keynotes at ComputationWorld 2019 (Venice) and World Science Festival 2016.

Dean ChatfieldView profile

Associate Professor

• Supply Chain Management
• Business Simulation
• Operations Management
• +3 more

Dean Chatfield is an Associate Professor in the Department of Information Technology & Decision Sciences at Old Dominion University , where he teaches and conducts research in supply chain management and simulation modeling. Education: Ph.D. in Management Science and Information Systems, Pennsylvania State University (2001) M.S. in Management Information Systems, Pennsylvania State University (1993) M.B.A. in Finance, Pennsylvania State University (1991) B.S. in Management Systems, Rensselaer Polytechnic Institute (1989) Research Interests focus on supply chain dynamics and inventory system optimization , particularly examining phenomena like the Bullwhip Effect , stockout propagation , and risk amplification in multi-echelon systems. His work employs discrete-event simulation and agent-based modeling to develop decision support frameworks for complex supply chain scenarios, including cascading failures and stochastic lead times. Representative Publications include simulation studies on network characteristics affecting supply chain resilience (International Journal of Production Economics, 2020), crossover-aware inventory policies (Transportation Research Part E, 2018), and quantifying information-sharing impacts on demand amplification (Production and Operations Management, 2004). His research has secured over $834,238 in grants , including a $551,438 NSF CAREER award for simulation-based inventory modeling. Scientific Honors: 2005 Best Application Research Paper, Decision Sciences Institute Grants address technology gaps in transportation logistics and mathematical frameworks for service-driven systems. He has developed specialized simulation tools like SISCO and SCML to support industry applications.

Constant C.J.M. HakView profile

Assistant Professor

• Room Acoustics
• Hall Acoustics
• Computational Acoustics
• +4 more

Constant C.J.M. Hak is an Assistant Professor in the Building Acoustics research group within the Department of the Built Environment at Eindhoven University of Technology (TU/e). His work focuses on reducing adverse health effects from human-induced noise and promoting positively perceived sound environments through computational and experimental acoustic methods. Specializing in room and hall acoustics, Hak develops advanced acoustic measurement techniques based on impulse responses. His research includes analyzing orchestra members' influence on stage acoustics across five concert halls and developing methods for impulse response measurements in open-air theaters. Software and equipment he has developed are used globally for research and engineering applications. His publication trends reveal consistent contributions to architectural acoustics, with recent work emphasizing sensor-based environmental quality assessment, plasma-acoustic interactions, and stage/orchestra pit acoustics optimization. Key research areas span reverberation physics, sound energy engineering, impulse response analysis, and theater acoustics, reflecting his fingerprint in Room Acoustics (100%), Reverberation (78%), and Directivity (75%). Hak teaches courses including Acoustic Awareness, Architectural Acoustics, and Masterprojects in Building Performance Systems. His supervised work encompasses 41 projects, including the 1987 master's thesis De grote zaal in het auditorium van de Technische Universiteit Eindhoven co-authored with J.P.M. Hak. His research contributes to UN Sustainable Development Goals related to sustainable cities and communities, with applications in noise pollution reduction and built environment optimization.

Ian OwensView profile

Senior Lecturer

• Cyber Defence
• Information Systems Development
• Digital Business Strategy
• +7 more

Ian Owens is a Senior Lecturer in Information Systems at Cranfield University's Centre for Defence Engineering and Physical Science within Cranfield Defence and Security. With over 25 years of academic experience, he serves as Course Director for the MSc in Cyber Defence and Information Assurance (CDIA) and manages multiple modules across various MSc programmes at Cranfield. He also acts as an external examiner at Staffordshire University and the University of Bedfordshire. Current Position: Senior Lecturer in Information Systems Institution: Cranfield University Department: Centre for Defence Engineering and Physical Science Previous Academic Appointments: Sheffield University, Oxford University, Edinburgh Napier University, Swansea University External Examiner Roles: Bolton University, Edinburgh Napier University, Staffordshire University, Bedfordshire University Dr. Owens specializes in emerging technologies, information systems development methodologies, digital business strategy, and networking and communications technologies. His research spans strategic management, tactical communications, service-based architecture, cyber defence, and agile project management. He has extensive experience in research and consultancy, including writing successful bids for funding, representing UK interests on NATO research task groups, and working with diverse stakeholders including NATO, IBM, DSTL, QinetiQ, and UK MOD. His recent publications demonstrate a strong focus on tactical communications, cyber security, and military applications of networking technologies, with particular emphasis on software-defined networks, wireless aware networks, and the military application of the Internet of Things. The publications show a progression from earlier work on e-government and e-commerce to current defense-focused research. Fellow of the Higher Education Academy Dr. Owens currently leads a MOD-funded research project under the CSIIIS framework investigating wireless aware networks and serves as the UK member of the NATO Science and Technology Organisation Technical Team for IST-147 on the Military Application of the Internet of Things. He is actively recruiting doctoral research students in the area of software defined networks and continues to direct the leading MOD educational course in Cyber Defence (CDIA).

Daniel StrüberView profile

Associate Professor

• Model-Driven Engineering
• AI Engineering
• Software Quality Assurance
• +12 more

Daniel Strüber is an Associate Professor in Software Engineering at the joint Interaction Design and Software Engineering Division of Chalmers University of Technology and the University of Gothenburg, Sweden. He is also affiliated with the Department of Software Science at Radboud University Nijmegen, Netherlands. His research focuses on model-driven engineering, AI engineering, and variability management to enhance software quality, security, and collaborative development across domains like robotics and web systems. Education : Diplom (M.Sc. equivalent) in Computer Science from Philipps University Marburg (2011, with distinction), Ph.D. (summa cum laude) from Philipps University Marburg (2016). His research bridges empirical, formal, and engineering approaches to address developer challenges in ML-enabled systems. Key trends in his work include model-driven methods for ML deployment, variability management in robotics, and empirical studies of tool usability. He has co-edited a Journal of Systems and Software special issue on software product lines. Scientific Awards : Best Reviewer Awards (SoSyM 2025, GPCE 2024), Transformation Tool Contest Awards (2017, 2020), Best Paper Awards (VAMOS 2019, ICMT 2016), and multiple conference nominations. As a supervisor, he guides current Ph.D. students like Vladislav Indykov and Weixing Zhang, while his former advisees include Shayan Ahmadian and Samuel Idowu. Grants include a VR Open Call Grant (2022-2024) for SEMLA and a DFG Individual Fellowship (2019) for EUphORia. His teaching spans courses on Software Engineering for AI Systems and Software Product Lines , often integrated with real-world projects via GiPHouse.

Niall EnglishView profile

Professor

• Gas Hydrate Research
• Climate Change Impacts
• Methane Emissions
• +5 more

Professor Niall English is a leading academic at University College Dublin's College of Engineering & Architecture, specifically within the School of Chemical & Bioprocess Engineering. With over 20 years of dedicated research in gas hydrate systems, his work bridges fundamental science and industrial applications, particularly in climate change mitigation and wastewater treatment innovation. His research focuses on gas hydrate kinetics, methane emissions, and microbial regulation of hydrate stability , with groundbreaking contributions to understanding the relationship between Earth's magnetic field reversals and historical mass extinction events (the 'Belfast hypothesis'). Key interests include: Nanobubble engineering for industrial wastewater treatment Electromagnetic field effects on chemical processes Microbial-peptide regulation of gas hydrates Climate change implications of Arctic hydrate destabilization Professor English's recent publications (2024-2025) reveal a strong trend toward environmentally sustainable applications , particularly electric-field nanobubble technologies for wastewater treatment, biogas upgrading, and carbon capture. His work demonstrates significant cross-disciplinary integration of computational chemistry, environmental engineering, and geophysics. He received the Leverhulme Trust Research Project Award (2021-2023) for 'Exploring the potential for biocatalytic gas-hydrate formation (BioGHF)', reflecting the international recognition of his work. His commercialization efforts include two spin-out companies: Aqua-B (CEO) for nanobubble wastewater treatment and BioSimulytics for pharmaceutical crystal-structure prediction software. Professor English actively collaborates with Queen's University Belfast microbiologist Professor Chris Allen, filing joint patents for regulating gas hydrate growth using proteins and peptide sequences. Their research targets the $1 trillion wastewater treatment industry, aiming to solve challenges in processing heavily polluted water through hydrate-based separation techniques.

• Robotics
• Human-Robot Interaction
• Control Systems
• +5 more

Michael Hofbaur is a full Professor at the University of Klagenfurt, where he works in the Institute for Intelligent Systems Technologies within the Faculty of Technical Sciences. His office is located at Lakesidepark Haus B04, Ebene 2, Raum B04.2.206, and he can be contacted at michael.hofbaur@aau.at. Professor Hofbaur has established himself as a leading researcher in robotics with particular expertise in human-robot collaboration, safety systems, and formal verification methods for robotic applications. His research interests focus on the intersection of robotics, safety engineering, and human factors. Professor Hofbaur has made significant contributions to the field of robot safety, particularly in developing methods for safe human-robot collaboration without physical barriers. His work spans multiple dimensions of robotics including kinematic analysis, motion planning, sensor integration, and formal verification techniques to ensure system reliability. He has published extensively on topics such as obstacle avoidance strategies, proximity perception systems, and methods to enhance flexibility in collaborative workspaces while maintaining safety standards. Analysis of his recent publications reveals a clear trend toward integrating formal verification methods with practical robotics applications, particularly focusing on safety-critical aspects of human-robot interaction. His research increasingly incorporates advanced sensing technologies like radar and capacitive proximity sensors to create more intelligent and responsive robotic systems. The work demonstrates a progression from theoretical kinematic analyses toward practical implementations in industrial and collaborative settings, with a consistent emphasis on safety assurance throughout. Professor Hofbaur's research portfolio includes numerous projects related to robotic safety, formal verification, and human-robot collaboration, though specific awards directly attributed to him are not listed in the available materials. His work appears to have significant practical applications in industrial automation and collaborative robotics settings. While specific information about his students and advising activities isn't provided in the available materials, his extensive publication record spanning over two decades suggests he has likely supervised numerous graduate students and postdoctoral researchers. His research activities indicate involvement in both theoretical and applied projects, potentially including collaborations with industry partners given the practical nature of many of his publications. Based on his departmental affiliation and research focus, Professor Hofbaur is likely associated with robotics laboratories at the University of Klagenfurt that specialize in human-robot interaction, safety systems, and formal verification of robotic workflows. These facilities likely include experimental setups for testing collaborative robots, sensor integration systems, and simulation environments for verifying robotic behaviors before physical implementation.