Find Academic Supervisors

Roland BüchiView profile

Professor

• Control Systems Engineering
• Robotics
• Artificial Intelligence
• +4 more

Prof. Dr. Roland Büchi is a Professor at the School of Engineering, Zurich University of Applied Sciences (ZHAW), specializing in control systems engineering and applied AI. His affiliation includes leadership roles in research projects such as the ongoing 'Digital Bridge to Computer Science' initiative. With a career spanning decades, he maintains active research output and industrial collaborations. Research Interests: Büchi focuses on control systems optimization , particularly PID controller tuning using AI methods, system identification, and applications in robotics and drone technology. His work bridges theoretical control theory with practical implementations in mechatronics. Recent efforts explore machine learning for hysteresis modeling and swarm optimization for control systems. Publication Trends: His 15 most recent works (2018-2024) emphasize AI-driven control optimization , drone technology advancements, and engineering education. Dominant themes include PID parameter tuning for time-delayed systems, drone telemetry, and adaptive learning algorithms. A notable shift toward AI/ML applications in control engineering emerged post-2020. Labs and Teams: Büchi collaborates with researchers like Lukas Gruber and has historical ties to ETH Zurich’s robotics projects. His work involves experimental validation at ZHAW’s engineering facilities, with patents in turbocharger magnetic bearing systems.

Jonathan Winghong LukView profile

Professor

• Nonlinear partial differential equations
• General relativity
• Mathematical physics

Jonathan Winghong Luk is a Professor in the Department of Mathematics at Stanford University. His research focuses on nonlinear partial differential equations, general relativity, and mathematical physics, with a particular emphasis on gravitational wave dynamics, shock formation, and high-frequency spacetime solutions. Contact: Email: jluk@stanford.edu Office: 382-Z, Building 380, Stanford, CA 94305 Research Trends: His recent publications examine nonlinear wave equations on dynamic spacetimes, gravitational phase mixing, impulsive gravitational wave interactions, and stability of black hole interiors. He frequently collaborates with experts like C. Huneau, S.-J. Oh, and J. Speck. Academic Activities: Luk organizes the Analysis and PDE seminar at Stanford with Eugenia Malinnikova and Ryan Unger. He has developed lecture notes on nonlinear wave equations and Fourier analysis, complemented by example sheets.

Ramakrishna GokarajuView profile

Professor

• Power System Protection
• Smart Grid Applications
• Sustainable Energy Systems
• +4 more

Prof. Ramakrishna Gokaraju is a Professor and Graduate Chair in the Department of Electrical and Computer Engineering at the University of Saskatchewan. His academic journey includes roles as Assistant Professor (2003), Associate Professor (2009), and full Professor (2015). He holds a B.E. from NIT Trichy (1992), M.Sc. and Ph.D. from the University of Calgary (1996, 2000). His research focuses on power system protection, smart grids, and sustainable energy systems, including small modular reactors (SMRs) and renewable integration. He has advised 8 PhD and 25+ Master’s students, with over 80 publications in top journals/conferences. Dr. Gokaraju’s honors include the Izaak Walton Killam Memorial Scholarship (1998–2000) and the Professor of the Year Award (2008). He has held visiting roles at the University of Manitoba (2009–2010), IIT Kanpur (2018), and institutions in Australia and India. His work emphasizes high-speed digital relaying, PMU-based solutions, and transient stability protection. Current research includes wind generator modeling, SMR integration, and energy storage systems for remote communities. His technical contributions span fault location algorithms, grid resilience enhancement, and GPU-based optimization for transport systems. Ongoing projects explore hybrid energy systems combining SMRs with renewables. Lab affiliations include the Power Systems Research Group at the University of Saskatchewan, focusing on smart grid innovation and sustainable energy solutions.

Christian ZillingerView profile

Researcher

• Partial differential equations
• Fluid dynamics
• Material sciences
• +5 more

PD Dr. Christian Zillinger is a researcher at the Karlsruhe Institute of Technology (KIT), specifically within the Department of Mathematics. He leads the Junior Research Group "Stability and Instability in Fluids and Materials" (AP6) as part of the CRC 1173. His office is located at Kollegiengebäude Mathematik (20.30), room 2.024 in Karlsruhe, Germany. Dr. Zillinger obtained his PhD under the supervision of Herbert Koch at the University of Bonn. Following his doctorate, he served as an assistant professor (NTT) at the University of Southern California and was a postdoctoral fellow at BCAM (Basque Center for Applied Mathematics). He recently completed his habilitation thesis titled "On Mixing and Resonances in Fluid Systems" at KIT in 2023. Dr. Zillinger's research focuses on partial differential equations motivated by physical problems, particularly in fluid dynamics and material sciences. His work encompasses several key areas: Mixing as a (de)stabilizing mechanism in fluids and inviscid damping Cascades of resonances and instabilities in fluids and plasmas Convex integration and microstructures in materials, including rigidity and flexibility phenomena Magnetic fluids and magnetohydrodynamics Partial dissipation in the Boussinesq equations His recent publications demonstrate a strong focus on stability and instability phenomena in fluid systems, with particular attention to mathematical analysis of PDEs governing fluid behavior. He has made significant contributions to understanding echo chains, resonance phenomena, and damping mechanisms in various fluid models. His work bridges theoretical mathematics with applications in physics and materials science, often employing advanced analytical techniques to address challenging problems in nonlinear PDEs. Dr. Zillinger actively teaches courses at KIT, including "Klassische Methoden für partielle Differentialgleichungen" (Classical Methods for Partial Differential Equations), "Introduction to convex integration," "Introduction to Kinetic Equations," and seminars on microstructure in materials and fluid dynamics. He leads the Junior Research Group "Stability and Instability in Fluids and Materials" which is part of the Collaborative Research Centre (CRC) 1173 at KIT, focusing on wave phenomena. This research group investigates mathematical aspects of stability and instability in physical systems, with applications to fluid dynamics and material science.

Eduardo MirandaView profile

Professor

• Structural Engineering
• Performance-Based Earthquake Engineering
• Seismic Risk Assessment
• +3 more

Eduardo Miranda is a Professor of Civil and Environmental Engineering at Stanford University. He specializes in structural engineering, with a focus on performance-based earthquake engineering. His work involves analyzing ground motion impacts on structures and society, and developing methods to improve seismic design and construction. He holds a PhD from the University of California, Berkeley (1991), an MSc from UC Berkeley (1988), and a Civil Engineering degree from UNAM (1986). Education: PhD in Structural Engineering, UC Berkeley (1991) MSc in Structural Engineering, UC Berkeley (1988) Civil Engineer, National Autonomous University of Mexico (UNAM) (1986) Research Interests: His primary research areas include seismic risk assessment, ground motion analysis, and the development of computational tools for structural analysis. He investigates the directional effects of earthquakes on building responses and has contributed to methodologies for regional seismic risk evaluation. His work also focuses on improving seismic isolation techniques and nonstructural component design. Recent Research Trends: Miranda’s recent publications emphasize directional ground motion effects, particularly in earthquakes like those in Türkiye and Taiwan. He explores novel friction models for seismic isolation bearings and evaluates the seismic performance of structures on soft soils. His work bridges theoretical analysis and practical application, aiming to enhance building resilience. Advising & Grants: No specific grants or advisees are listed, but his research is funded through collaborations with institutions like EERI and StEER for field assessments and computational studies. Labs/Teams: Collaborates with the Stanford Earthquake Engineering Research (StEER) Group, contributing to post-earthquake reconnaissance reports and regional risk assessments.

Ishan SharmaView profile

Professor

• Mechanics
• Applied Mathematics
• Granular Materials
• +8 more

Ishan Sharma is a Professor in the Department of Mechanical Engineering at the Indian Institute of Technology Kanpur (IIT Kanpur), specializing in Mechanics and Applied Mathematics. His research focuses on granular materials, planetary science, contact mechanics and adhesion, soft materials, dynamics, structural vibrations, wave propagation, stability, and fluid-structure interaction. Dr. Sharma's research interests include modeling granular systems for geophysical and industrial applications, with specific emphasis on dynamics of granular minor planets and segregation in granular mixtures. His work bridges theoretical mechanics with practical applications in both space science and engineering contexts. The research spans multiple disciplines, connecting planetary science, materials science, and mechanical engineering through mathematical modeling and computational approaches. His scholarly contributions demonstrate significant trends in applying mechanical principles to celestial bodies and industrial processes. The work on granular materials has important implications for understanding asteroid formation, while his contact mechanics research informs material science and engineering design. His publications reveal a consistent focus on stability phenomena across different physical systems. INAE Young Engineer Award Dr. Sharma leads the Mechanics and Applied Mathematics research group at IIT Kanpur, supervising research projects that examine fundamental properties of materials under various mechanical conditions. His work combines theoretical analysis with computational methods to address complex mechanical problems with both academic and practical significance. He maintains an active research program with ongoing projects examining the mechanical behavior of granular systems in space environments. Based in office NL-102 in the Department of Mechanical Engineering, Dr. Sharma contributes significantly to the academic community through his teaching, research supervision, and scholarly publications in high-impact journals.

Ankit SaxenaView profile

Assistant Professor

• Adaptive materials and structures
• Meta-materials
• Additive manufacturing
• +4 more

Ankit Saxena serves as Assistant Professor in the Department of Mechanical Engineering at the University of Wyoming since 2024, focusing on innovative applications of additive manufacturing in structural engineering and materials science. His work bridges theoretical design with practical implementations in energy, aerospace, and robotics systems. Education: Ph.D. in Mechanical Engineering, Penn State University (2024) M.S. in Mechanical Engineering, Penn State University (2020) B.S. in Mechanical and Automotive Engineering, Delhi Technological University (2016) Dr. Saxena's research centers on developing adaptive stiffness structures , meta-materials , and functionally graded systems through advanced additive manufacturing techniques. His work specifically targets energy applications (nuclear, wind, hydrogen, oil/gas) and aerospace challenges, with emphasis on structural health monitoring and vibration damping. The SUMMIT Lab under his direction creates multi-functional materials enabling shape morphing and self-strengthening properties for next-generation engineering solutions. His publication record (2020-2024) reveals a consistent trajectory toward multi-physics meta-material design , with dominant themes in TPMS lattice optimization, fluid-structure interaction systems, and medical robotics applications. Key methodological contributions include novel fluid accumulator integration, laser powder bed fusion parameterization, and non-pneumatic tire architectures. Scientific Recognition: ASME Graduate Teaching Fellow (2022-2024) Harold F. Martin Graduate Assistant Outstanding Teaching Assistant Award (Penn State, 2023) Dr. Saxena teaches core materials courses (ME 3450: Properties of Materials; ME 4150: Mechanical Behavior of Materials) while expanding his research group through active recruitment of PhD candidates for 2026. His teaching philosophy emphasizes practical applications of theoretical concepts, recognized through multiple Penn State teaching fellowships. The SUMMIT Lab operates at the intersection of Wyoming's energy priorities and cutting-edge manufacturing research, maintaining strategic focus on renewable energy infrastructure and aerospace applications through metal additive manufacturing innovations.

Mohsen GhafouriView profile

Associate Professor

• Smart Grid Security
• Cyber-Physical Systems Security
• Wide Area Monitoring Systems (WAMS)
• +5 more

Mohsen Ghafouri is an Associate Professor at the Concordia Institute for Information Systems Engineering (Concordia University). His research focuses on cybersecurity, smart grids, and cyber-physical systems with emphasis on securing energy infrastructure against cyber-attacks. Key areas include detection and mitigation of false data injection attacks, grid resilience against load-altering threats, and secure transactive energy markets. Research interests include wide-area monitoring systems (WAMS), microgrid control, and integration of renewable energy sources. He has developed frameworks for real-time anomaly detection in power systems, blockchain-based security solutions, and machine learning approaches for cyber threat identification. His work addresses vulnerabilities in smart grid components like IEC 61850 substations and EV ecosystems. Recent publications (2024-2025) highlight advancements in securing FACTS controllers, EV charging systems, and distributed energy resources. He has proposed novel mitigation strategies using reinforcement learning, graph neural networks, and federated learning. No scientific awards or grant details are provided in the source text. No advising relationships or lab affiliations are explicitly stated.

Mohamed NoureldinView profile

Assistant Professor

• Structural Engineering
• Artificial Intelligence in Civil Engineering
• Structural Health Monitoring
• +5 more

Mohamed Noureldin is an Assistant Professor at the Department of Civil Engineering, Aalto University , Finland, with prior academic roles at Sungkyunkwan University, South Korea (2015–2022). His expertise lies in integrating Artificial Intelligence (AI) with Structural Health Monitoring (SHM) , Structural Digital Twin , Predictive Maintenance , and Seismic Retrofitting . Research Focus : AI-powered sustainable structural design, smart retrofitting, predictive maintenance, structural material innovation, and next-generation performance-based seismic/wind design. Industrial Experience : 20+ years in offshore/onshore structural engineering (Hyundai Heavy Industries, Samsung Engineering, Arab-Swiss Engineering Company, Zuhair Fayez Partnership). Teaching : Courses in structural analysis, seismic design, dynamics, and reinforced concrete at Aalto and Sungkyunkwan Universities. Laboratory : Leads the Structural Design AI Lab (SDAI), focusing on AI-driven resilient infrastructure. Contact : mohamed.noureldin@aalto.fi , +358504544861. His publications explore cutting-edge applications of AI, ML, and DL in seismic retrofitting, structural durability, soil stabilization, and hybrid damping systems. Collaborative work emphasizes life-cycle cost assessment and augmented reality for predictive maintenance.

Thomas HackerView profile

Professor

• Cloud Computing
• High-Performance Computing
• Operating Systems
• +3 more

Thomas Hacker is a Professor in the Department of Computer and Information Technology at Purdue Polytechnic Institute, Purdue University. His research focuses on cloud computing, high-performance computing, operating systems, computer networking, and cyber infrastructure . He holds a Ph.D. and M.S. in Computer Science & Engineering from the University of Michigan, along with dual B.S. degrees in Computer Science and Physics from Oakland University. Education: PhD (Computer Science & Engineering), University of Michigan (2004) MS (Computer Science & Engineering), University of Michigan (1993) BS (Computer Science, Mathematics Minor), Oakland University (1989) BS (Physics), Oakland University (1989) Dr. Hacker's research spans cloud and grid computing, operating systems, and distributed systems , with applications in earthquake engineering data systems and AI-driven infrastructure analysis. His recent work explores extended layer 2 networking for bare-metal provisioning ( 2023 IEEE Cloud Summit ) and machine-supported bridge inspection using artificial intelligence ( Transportation Research Record, 2023 ). Notable scientific contributions include 15+ publications on topics like cyberinfrastructure for earthquake engineering, container-based virtualization, and data-intensive systems. His work has been recognized with awards such as the NSF CAREER Award (2010) and multiple Purdue Seed for Success Awards . Key Scientific Awards: NSF CAREER Award (2010) Purdue Seed for Success Awards (2008-2013) ASEE Information Systems Division Best Paper Award (2012) College of Technology Outstanding Faculty in Discovery Award (2010) He has held leadership roles at Purdue, including Department Head (2018-2021) and Interim Department Head (2011-2016) . His career spans academic positions at Indiana University, University of Michigan, and industry roles at Storage Technology Corporation.

• Robotics
• Mechatronics
• Human-Robot Interaction
• +3 more

Mr. Richardo Khonasty is a Senior Research Engineer at the School of Mechanical and Mechatronic Engineering, part of the Faculty of Engineering and Information Technology at the University of Technology Sydney (UTS). He has held appointments at UTS since 2019, including roles at the Centre for Autonomous Systems and Robotics Institute. He also serves as a Tutor since 2016. PhD in Robotics (2020), UTS B.Eng. in Mechanical and Mechatronic Engineering (2014), UTS Khonasty's research focuses on robotics and human-robot collaboration, with applications in surgical robotics (total hip replacement), industrial automation (abrasive blasting), and green wall inspection systems. His work emphasizes kinematic accuracy, adaptive control schemes, and cost-effective robotic solutions. His recent publications explore robotic-assisted burring for orthopedic surgery, damping strategies for singularity management, and exoskeleton design frameworks. Khonasty is currently involved in funded research related to hydraulic tooling safety under the BTP - Stage 2 - IntelliForce Tooling grant.

Eugene O'BrienView profile

Professor

• Structural Engineering
• Bridge Safety Assessment
• Traffic Load Modeling
• +2 more

Professor Eugene O'Brien serves as Professor of Civil Engineering within the School of Civil Engineering at University College Dublin's College of Engineering and Architecture. His research focuses on critical structural assessment methodologies for long-span bridges, with particular expertise in traffic load modeling and bridge safety evaluation. His research interests center on structural engineering challenges related to bridge infrastructure, specifically traffic load assessment for long-span bridges , structural health monitoring systems , and sustainable infrastructure management . Professor O'Brien pioneered camera-based monitoring techniques to overcome limitations of traditional Weigh-in-Motion sensors during congested traffic conditions, enabling more accurate safety assessments of aging bridge infrastructure. His work addresses the critical gap in quantifying traffic loading on bridges with spans up to 2 kilometers, where conventional methods fail during stop-and-go traffic scenarios. Analysis of his 15 most recent publications reveals a consistent research trajectory focused on probabilistic modeling of traffic loads, with increasing sophistication in handling extreme events and long-term infrastructure performance. His work spans fundamental statistical methods for load effect prediction, practical applications in real-world bridge assessments, and environmental considerations regarding infrastructure carbon footprints. The research demonstrates strong methodological evolution from basic traffic modeling to comprehensive lifetime assessment frameworks incorporating sustainability metrics. As co-founder and director of Roughan O'Donovan's subsidiary Innovative Solutions (ROD-IS), Professor O'Brien has translated research into practice through significant projects including the Malahide Railway Viaduct assessment (2009), EU-funded bridge lifespan simulation tools (2011), vibration reduction systems for bridge cables, and structural assessments for major international projects including the Ting Kau Bridge in Hong Kong, the Forth Road Bridge in Scotland, and the Chacao Channel Bridge in Chile. His consultancy work demonstrates direct application of academic research to critical infrastructure challenges worldwide. Professor O'Brien's research group operates at the intersection of structural engineering and sustainable infrastructure management, with particular emphasis on extending bridge service life through accurate safety assessment. Their work on the Chacao Channel Bridge demonstrates practical implementation of traffic monitoring systems using toll data to manage truck loads, while their environmental impact analysis shows how accurate safety assessments reduce unnecessary bridge replacements, thereby lowering the carbon footprint of transportation infrastructure through extended service life of carbon-intensive materials like concrete and steel.

Christopher D.P. BaxterView profile

Professor

• Geotechnical Engineering
• Experimental Geomechanics
• Soil Behavior
• +3 more

Christopher D.P. Baxter is a Professor and Department Chair of Civil and Environmental Engineering at the College of Engineering, University of Rhode Island , with expertise in geotechnical engineering, offshore wind energy, and coastal resilience. He holds a Ph.D. in Civil Engineering from Virginia Tech (1999), an M.S. from Purdue University (1994), and a B.S. from Tufts University (1990). Research Focus: Geotechnical characterization of marine sediments, liquefaction resistance analysis, fiber-optic sensing for infrastructure monitoring, and coastal protection systems. Recent Publications: 15+ articles (2011–2025) covering topics like shear wave velocity, offshore wind foundation dynamics, and tsunami hazard modeling. Grants: Led projects on offshore wind monitoring (2019–2024) and fiber-optic seismic sensing (2021–2023). Key Collaborations: Work with teams on submarine landslide analysis, coastal dune reinforcement, and Rhode Island infrastructure resilience. His work bridges experimental geomechanics with practical coastal engineering solutions.

• Time Series Analysis
• Data Mining
• Machine Learning
• +3 more

Eamonn Keogh is a Professor in the Computer Science and Engineering Department at the University of California, Riverside. His pioneering work centers on the Matrix Profile, a transformative approach to time series data mining enabling efficient solutions for motif discovery, anomaly detection, and similarity search. His algorithms (STAMP, STOMP, SCRIMP, DAMP, SCAMP) offer exact, parameter-free, and scalable solutions across domains like seismology, bioinformatics, and industrial IoT. Research areas include: Development of ultra-fast algorithms for time series joins and motif discovery at unprecedented scales (breaking the 100 million barrier) GPU acceleration for time series mining Domain-agnostic methods for semantic segmentation and anomaly detection Novel primitives like Time Series Chains, Snippets, and Consensus Motifs His work is highly cited and recognized by industry and academia, with applications ranging from NASA's Cassini mission to detecting BGP anomalies in computer networks.

• Condensed Matter Physics
• Materials Science
• Quantum Physics
• +6 more

Anna Delin is a Full Professor at KTH Royal Institute of Technology since 2011, leading research on magnetic and quantum phenomena in materials. She heads the WISE research school (wise-materials.org) and served as Deputy Head of the School of Engineering Sciences (SCI) from 2018–2022. Her expertise spans condensed matter physics, with a focus on nanomagnetism, skyrmions, spin-lattice couplings, and topological materials. Education: PhD in Condensed Matter Physics from Uppsala University (1998). Key awards include Naturvetarpriset (1998), Royal Swedish Academy of Sciences Research Fellowship (2007), Thuréus Prize (2018), and Edlundska Prize (2024). She has held visiting roles at ICTP, Los Alamos National Lab, and the Fritz Haber Institute. Research interests include magnetic skyrmions, magnonics, spintronics, and ultrafast demagnetization. Recent publications focus on spin-lattice dynamics, topological materials, and quantum analogs of classical magnetic models. Her work bridges theory and experiment, with contributions to tools like SpinView for computational magnetism analysis. Teaching includes roles as examiner for the Degree Project in Applied Physics and teacher for Sustainable Development in Engineering Physics. She actively participates in materials design initiatives and semantic data processing for big research data. Lab affiliations include her own research group at KTH and collaborations through WISE. Current projects explore skyrmion stabilization, magnon entanglement, and quantum spin systems, with implications for next-generation spintronic devices.