Find Academic Supervisors

Miguel D. MahechaView profile

Professor

• Effects of climate variability and extremes on ecosystems
• Earth system data cubes and data science
• Human environment nexus
• +1 more

Miguel D. Mahecha is a Full Professor for Earth System Data Science at Leipzig University and a research group leader at the Max Planck Institute for Biogeochemistry. He is affiliated with the German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig and the Center for Scalable Data Analytics and Artificial Intelligence. As co-spokesperson for the National Research Data Infrastructure for Earth System Sciences (NFDI4Earth), he focuses on integrating empirical Earth observations with theoretical frameworks to address climate-ecosystem-human interactions. PhD in Environmental Sciences (2009), ETH Zurich Diploma in Geoecology (2006), Bayreuth University His research centers on climate extremes and ecosystem responses , Earth system data cubes , and human-environment feedbacks . He develops advanced data science methodologies, including nonlinear dimensionality reduction (Isomap) and causal inference, to analyze high-dimensional Earth observations. His work bridges macroecological gradients , vegetation-climate feedbacks , and data interoperability challenges in Earth sciences. Recent publications highlight applications of machine learning (e.g., DeepExtremeCubes , Explainable Earth Surface Forecasting ) and remote sensing (e.g., SpectralIndices.Jl , On-Demand Data Cubes ). His group pioneered the Earth System Data Cube concept to unify spatiotemporal data analysis. Collaborative efforts span ecological monitoring networks and planetary boundary interactions . Current projects emphasize global vegetation dynamics , compound climate-ecosystem events , and improving data availability through open-access databases (e.g., Ddeadtrees.Earth , Dheed ). He advocates for nonlinear methods in ecological pattern analysis and causal Earth system modeling , particularly in tropical montane forests and post-conflict ecological transitions.

Peter ChenView profile

Professor

• Analytical Chemistry
• Spectroscopy
• Infrared Spectroscopy
• +3 more

Peter Chen is a Professor in the Department of Chemistry and Biochemistry at Spelman College, where he has served on the faculty since 1992. His research focuses on pioneering coherent multidimensional spectroscopic techniques for analyzing gas phase molecules, with significant contributions to overcoming spectral congestion through innovative pattern recognition methods. He also leads the Spelman Lidar Project, applying laser-based remote sensing for atmospheric studies. Dr. Chen's educational background includes: Ph.D. in Chemistry from the University of Wisconsin A.B. in Chemistry from Cornell University His research centers on high-resolution coherent multidimensional spectroscopy , which generates two-dimensional patterns that automatically sort spectral peaks by quantum number, selection rule, and molecular species. This approach revolutionizes the analysis of complex gas phase systems where traditional methods fail due to spectral overlap. The group's work extends to Lidar technology for atmospheric monitoring, demonstrating practical applications of fundamental spectroscopic principles. Key innovations include the development of combination difference methods for spectral interpretation and nonparametric techniques for rapid determination of molecular constants. Analysis of Professor Chen's recent publications (2015-2024) reveals a consistent trajectory toward increasingly sophisticated multidimensional spectroscopic techniques. His work bridges fundamental quantum mechanics with practical analytical applications, with a clear emphasis on solving spectral congestion through pattern recognition. The research spans from theoretical foundations of coherent spectroscopy to instrument development for undergraduate research settings, reflecting his commitment to advancing both science and education. Professor Chen's scientific contributions have been recognized with prestigious awards: Spelman College Presidential Award for Research (2001) NSF CAREER Award (1996) NASA Faculty Award for Research Charles N. Reilley-Upjohn Award for outstanding research in analytical chemistry Elected to Phi Beta Kappa (1997) As an educator and mentor, he has guided numerous undergraduate researchers through the Chen Research Group, securing significant grant funding including NSF and NASA awards. His leadership extends to national organizations, having served as Chemistry Councilor for the Council for Undergraduate Research (2004-2007) and as a PKAL Faculty for the 21st Century member. The Spelman Lidar Project exemplifies his ability to establish impactful research infrastructure at a predominantly undergraduate institution. Professor Chen directs the Chen Research Group , which maintains specialized instrumentation for coherent multidimensional spectroscopy and collaborates extensively on atmospheric research through the Spelman Lidar Project . These initiatives provide hands-on research experiences that have positioned Spelman College at the forefront of undergraduate spectroscopic research.

• Experimental Physics
• Materials Science
• Optical Spectroscopy
• +3 more

Andrea Baraldi is an Associate Professor in the Department of Mathematical, Physical and Computer Sciences at the University of Parma, maintaining continuous faculty status since 1999 (Researcher) and 2006 (Associate Professor). He teaches General Physics for Management Engineering and Physics Laboratory courses across multiple undergraduate cohorts through the 2025/2026 academic year. His academic credentials: Laurea in Physics with honors (1990), University of Parma Specialization Diploma in Materials Science and Technology with honors (1992), University of Parma PhD in Physics (1996), University of Parma His research centers on experimental condensed matter physics using high-resolution Fourier transform absorption spectroscopy. Primary focus areas include semiconductor physics (III-V compounds, Ga2O3), rare-earth doped crystals for solid-state lasers, vibrational spectroscopy of hydroxyl ions in nonlinear optical materials, and scintillator development. Current work emphasizes optical characterization of gallium oxide polymorphs for UV photodetection applications. Recent publications (2024-2025) demonstrate concentrated research on Ga2O3 thin films, covering doping techniques, heterojunction photodiode design, aerosol-jet printing integration, and Raman-based structural analysis for next-generation UV-C detection systems. His achievements include an Italian patent for rare-earth doped sol-gel scintillator glasses, with no additional prizes or fellowships specified in the documentation. As an academic advisor, he serves as tutor and reference faculty for the Physics Bachelor's program while maintaining consistent teaching duties since 2013/2014. His research involves university-supported laboratory work without mention of external grants. Experimental activities are conducted at the University of Parma's Science and Technology Campus in the Physics Building, utilizing specialized equipment for molecular beam epitaxy and optical spectroscopy of crystalline and glassy materials.

Gianluca GATTIView profile

Associate Professor

• Mechanical Engineering
• Vibration Control
• Nonlinear Dynamics
• +3 more

Gianluca GATTI is an Associate Professor at the Department of Mechanical, Energy and Management Engineering, University of Calabria. His academic roles include Principal Investigator in industrial research agreements and Visiting Academic at institutions like University of Southampton and UNESP. He serves on editorial boards of journals including Shock and Vibration and Frontiers in Mechanical Engineering . European Doctorate in Sound and Vibration Studies (2003) PhD in Mechanical Engineering (2004) 5-year Mechanical Engineering degree with honors (2001) Specializing in nonlinear vibration dynamics , GATTI's research spans vibration isolation, energy harvesting, robotic mechanisms, and bio-inspired mechanical design. His work explores quasi-zero stiffness systems, suspension dynamics, and nonlinear oscillators with applications in industrial vibration control and biomedical devices. His recent publications focus on advanced vibration control systems, nonlinear oscillator design, and energy recovery mechanisms. Articles like "A nonlinear quasi-zero stiffness vibration isolator" (2024) and "Exploiting nonlinearity for linear oscillators" (2023) demonstrate expertise in nonlinear dynamics and mechanical innovation. Bronze Best Research Paper Award (IFIT 2020) Cited in top 2% scientists worldwide (Stanford, 2020-2022) MSc Research Assist Award (2014) and IFToMM grant (2007) GATTI actively supervises student projects (over 30 undergraduate, 20 postgraduate) and leads international collaborations with institutions in Brazil, UK, and Serbia. He coordinates Erasmus student mobility programs and examines PhD theses globally.

• Numerical Analysis
• Optimization
• Computational Mathematics
• +6 more

Kathleen Kavanagh serves as Professor of Mathematics and Director of the Institute for STEM Education at Clarkson University, holding the Robert A. Plane Endowed Chair within the Coulter School of Engineering & Applied Sciences. Her dual leadership roles position her at the intersection of advanced mathematical research and transformative STEM education initiatives. Her research program integrates numerical analysis, optimization, and computational mathematics to solve complex hydrology problems including groundwater flow modeling, adaptive temporal integration for unsaturated systems, and water resource management optimization. Simultaneously, she drives national efforts in mathematical modeling education through the GAIMME report and K-16 curriculum integration projects, creating bridges between theoretical mathematics and real-world applications across agricultural, environmental, and cognitive domains. Analysis of her 2013-2016 publications reveals a distinctive interdisciplinary signature where mathematical modeling serves as the connective tissue between environmental engineering, agricultural systems, cognitive neuroscience, and educational reform. Her work consistently demonstrates how computational methods can address pressing societal challenges while simultaneously transforming how mathematics is taught across educational levels. Scientific recognition includes: Best Paper Award at the 2010 International Conference on Computational Science Through the Institute for STEM Education, she orchestrates extensive outreach programs including roller coaster science camps, university-school partnerships, and professional development for K-12 educators, creating systemic pathways for STEM engagement that extend far beyond traditional classroom boundaries.

• Rotorcraft Simulation Fidelity
• Helicopter-Ship Dynamic Interface
• Flight Handling Qualities
• +5 more

Professor Mark White serves as Head of the Aerospace Division within the School of Engineering at the University of Liverpool, bringing over 30 years of research experience since completing his PhD in structural crashworthiness at Liverpool in 1989. His leadership spans academic administration, cutting-edge rotorcraft research, and industry collaboration with major defense and aerospace entities including BAE Systems, dstl, Leonardo, and NATO. His research focuses on rotorcraft simulation fidelity , helicopter-ship dynamic interface , and maritime operations aerodynamics , with significant contributions to UK naval projects including the Type 26 frigate design and Queen Elizabeth-class aircraft carrier operations. Key methodologies include CFD modeling, piloted flight simulation, and motion fidelity assessment, addressing critical challenges in ship-helicopter operating limits and airwake hazards. Research Trends: Recent publications (2025) emphasize machine learning for pilot workload prediction, advanced airwake modeling, and certification-by-simulation frameworks, demonstrating evolution from foundational structural crashworthiness toward integrated operational safety systems. Disciplinary Impact: Work bridges aerospace engineering, naval architecture, and human factors, with applications spanning defense, commercial aviation, and emergency services. Scientific Recognition: BAE Systems Executive Committee Innovating for Success Award (2019) NATO AVT Panel Excellence Award (2017) American Helicopter Society Best Paper Award (2018) Society of Automotive Engineering Best Paper (2005) As an educator, Professor White coordinates the Aerospace Engineering with Pilot Studies program and lectures on flight handling qualities using problem-based learning approaches. His professional activities include NATO STO committee leadership, Royal Aeronautical Society specialist group participation, and extensive grant-funded research with European Commission, EPSRC, and DSTL. Current laboratory work centers on real-time simulation tools for harsh environment operations, supported by collaborations with NRC Canada and DSTG Australia.

Andrea CarronView profile

Senior Lecturer

• Model Predictive Control
• Learning-based Control
• Coverage Control
• +7 more

Dr. Andrea Carron is a Senior Lecturer at ETH Zürich, affiliated with the Intelligent Control Systems group under Professor M. Zeilinger at the Department of Mechanical and Process Engineering. He holds a PhD in Information Technology from the University of Padova (2016) and was a Postdoc at ETH Zurich from 2016 to 2020. Education: B.S. and M.Sc. in Control Engineering (University of Padova, 2010 and 2012) Professional Roles: Senior Lecturer (ETH Zurich, 2022–present), Postdoc Fellow (ETH Zurich, 2016–2020) Research Interests: Andrea Carron's work focuses on Model Predictive Control (MPC) and Learning-based Control with safety guarantees. His research addresses challenges in Distributed Safe Learning , Coverage Control , and Autonomous Racing , utilizing Gaussian Processes and Stochastic Control frameworks. He has developed safety filters for racing vehicles, scalable MPC for mobility-on-demand systems, and Kalman-filter-enhanced GP regression techniques. Article Trends: Recent publications emphasize Autonomous Racing (ForzaETH Race Stack), Safe Learning for distributed systems, Gaussian Process applications in control, and Robust MPC under uncertainty. His work bridges machine learning and classical control theory, with applications in robotics and real-time systems. Teaching Activities: He has taught courses such as Signals and Systems and Advanced Model Predictive Control at ETH Zurich and Ashesi University since 2017. Course content includes discrete-time signal processing, system identification, and control algorithms.

Christos PapadopoulosView profile

Professor

• Computer Networks
• Network Security
• Multimedia Communication
• +1 more

Christos Papadopoulos is a Professor in the Department of Computer Science at Colorado State University. His research spans computer networks, network security, multimedia communication, and distributed systems. He leads projects funded by DHS, NSF, and ONR, including LANDER-CSU, MURI, and MADCAT. Current Research Focus Network security (DDoS, malware detection) Computer networks (traffic analysis, multicast protocols) Distributed systems (internet measurement, service discovery) Multimedia communication (streaming, immersive performance) His recent publications analyze internet infrastructure, develop security frameworks, and explore signal processing applications in network analysis. He has advised multiple PhD students who now work at institutions like Cisco and Akamai. Papadopoulos also contributes to network security projects and has presented at global research institutions.

Tiemen WoutersenView profile

Professor

• Econometrics
• Duration Models
• Panel Data Models
• +2 more

Tiemen Woutersen serves as the Eller Professor of Economics within the Department of Economics at the University of Arizona's Eller College of Management. He teaches graduate-level courses including Econometrics and Machine Learning (ECON 515), Econometrics A/B (ECON 522), and Topics in Econometrics (ECON 696E), reflecting his expertise in advanced quantitative methods. His academic foundation includes a PhD in Economics from Brown University (2000). Woutersen's research centers on methodological advancements in econometrics, particularly focusing on relaxing restrictive assumptions in economic models. Key interests include duration models with unobserved heterogeneity, panel data estimation, identification strategies in industrial organization, and robust techniques for instrumental variables regression with heteroscedasticity and many weak instruments. His work bridges theoretical econometrics and practical applications across health economics and industrial organization. Analysis of his publication record reveals a sustained focus on improving estimation precision in challenging econometric scenarios. Recent work emphasizes jackknife methods for cluster-sampled IV models, specification testing power enhancement, and semi-parametric duration modeling without heterogeneity constraints. His collaborations with leading figures like Jerry Hausman and Norman Swanson demonstrate integration within the econometrics mainstream. While the source material does not document specific advising relationships or grant funding, Woutersen's extensive co-authorship network indicates active mentorship and collaborative research practices. His current working papers on data breach sanctions and nonparametric identification pedagogy suggest evolving interests at the intersection of econometric theory and emerging data challenges.

Lihoreau BertrandView profile

Researcher

• Acoustics
• Mechanics of Porous Materials
• Opto-Acoustics
• +7 more

Bertrand Lihoreau is a teacher-researcher at the Institute of Acoustics within Le Mans Université , focusing on acoustics and ultrasonic wave propagation. His work spans theoretical modeling, experimental characterization, and numerical simulation of acoustic systems. Primary Affiliation: Institute of Acoustics, Le Mans Université Key Research Areas: Guitar pickup nonlinearities, Wave propagation in complex media, Parabolic equation modeling Research Focus Lihoreau's research investigates nonlinear behavior in electromagnetic guitar pickups through analytical modeling and experimental validation. He also develops advanced numerical methods like Bremmer series and Padé approximations for sound propagation in inhomogeneous waveguides and urban environments. Scientific Production His publications demonstrate expertise in: Nonlinear acoustic systems Waveguide modeling Magnetic sensor characterization 3D parabolic equation simulations Ultrasonic propagation analysis Acoustic measurement techniques

Manuel MelonView profile

Professor

• Acoustics
• Electroacoustics
• Sound Field Synthesis
• +7 more

Manuel Melon is a Professor at the Acoustics Laboratory of the University of Le Mans , where he co-supervises the International Master in Electroacoustics (IMDEA) . His career spans institutions like the Conservatoire National des Arts et Métiers in Paris and focuses on advanced acoustic research. His research interests include electroacoustics , sound field synthesis , personalized listening zones , and acoustic material characterization using transducer arrays. He explores both theoretical and applied aspects of wave propagation in complex media. Recent publications highlight trends in acoustic metamaterials for directional sound control, MEMS speaker modeling , and adaptive filtering for automotive sound zones. He also contributes to online acoustic education through the ACOUCOU platform.

Lucas IllingView profile

Professor

• Nonlinear dynamics
• Optics
• Chaos theory
• +4 more

Lucas Illing is a Professor of Physics at Reed College, where he leads research in nonlinear dynamics and optics within the Department of Physics. His work bridges theoretical concepts with experimental implementations, focusing on how complex behaviors emerge from simple interacting components. Dr. Illing's research centers on nonlinear dynamic phenomena, particularly in systems with time-delayed feedback. His laboratory employs tabletop experiments combined with numerical modeling and analytical approaches to investigate fundamental questions in nonlinear dynamics. Key areas of focus include: Emergence of structure and complexity in adaptive component systems Dynamics of time-delay relay systems and electronic circuits Optoelectronic oscillators with narrowband feedback Network behavior in coupled nonlinear systems Chaos synchronization and amplitude death phenomena Analysis of his publication record from 2010-2024 reveals a consistent research trajectory focused on time-delay systems, particularly in electronic and optoelectronic implementations. His work shows progression from fundamental studies of single oscillators to more complex network behaviors, with practical applications in communication systems and computational methods. The research demonstrates strong integration of experimental work with theoretical modeling, often using custom-built electronic circuits to explore nonlinear phenomena. Dr. Illing has supervised numerous undergraduate researchers through Reed College's thesis program and summer research opportunities. His students have pursued diverse projects related to nonlinear dynamics, with many continuing to graduate programs or technical careers. Funding for this research appears to come from internal college fellowships including the Delord-Mockett Fund, James Borders Physics Student Fellowship, and Reed College Science Research Fellowship. His laboratory maintains experimental setups for investigating electronic and optoelectronic time-delay systems, water wheel chaos demonstrations, and related nonlinear phenomena. The research environment emphasizes hands-on experimental work combined with computational modeling, providing students with comprehensive research experience in nonlinear dynamics.

• System Identification
• Control Theory
• Bayesian Estimation
• +5 more

Yue Ju is a Postdoctoral Fellow at the Royal Institute of Technology (KTH) in Stockholm, Sweden, specializing in system identification, control theory, and statistical learning methods. Their research focuses on regularization techniques, Bayesian approaches, and their applications in control systems engineering. Dr. Ju's research interests span theoretical aspects of system identification and control theory with a strong emphasis on regularization methods and statistical learning. Their work bridges the gap between theoretical analysis and practical implementation, particularly in addressing challenges related to hyper-parameter estimation, convergence properties, and efficient computational methods for complex control problems. Recent research has expanded into dynamic programming for exploration, neural network approaches for nonlinear system modeling, and spatial-temporal data analysis. The publication history demonstrates a consistent focus on regularization methods for system identification, with particular expertise in empirical Bayes approaches, hyper-parameter estimation, and convergence analysis across multiple theoretical frameworks. Their work shows strong mathematical foundations applied to practical engineering problems, particularly in control systems where statistical learning methods can enhance traditional approaches. Dr. Ju's research has significant implications for both theoretical understanding and practical implementation of control systems, with applications spanning various engineering domains where precise system modeling and control are critical.

Daniel E. RiveraView profile

Professor

• Robust Process Control
• System Identification
• Control Engineering
• +7 more

Daniel E. Rivera is Professor of Chemical Engineering at Arizona State University, affiliated with the Ira A. Fulton Schools of Engineering and the College of Health Solutions as a Health Solutions Ambassador. He serves as Program Director for Arizona State University's Control Systems Engineering Laboratory in the School for Engineering of Matter, Transport and Energy. Education: Ph.D. Chemical Engineering, California Institute of Technology (1987) M.S. Chemical Engineering, University of Wisconsin-Madison (1984) B.S. Chemical Engineering, University of Rochester (1982) Rivera's research bridges traditional engineering with healthcare applications, focusing on robust process control, system identification, and control engineering principles applied to process systems, supply chain management, and behavioral medicine interventions. His work represents a pioneering effort to apply engineering methodologies to health behavior modification, particularly in developing adaptive interventions using control systems approaches. His expertise spans Dynamical Systems Theory, Modeling and Simulation, and Health Information Technology. His recent publications demonstrate a clear trajectory toward applying control systems engineering to mobile health applications, with emphasis on personalized physical activity interventions, gestational weight management, and optimizing behavioral interventions using model predictive control frameworks. This work reflects his unique interdisciplinary perspective that combines control theory with behavioral science to create data-driven health solutions. Scientific Awards: K25 Mentored Quantitative Research Career Development Award from the National Institutes of Health (2007) Distinguished Member of the IEEE Control Systems Section (2019) Fellow of the American Institute of Chemical Engineers Fellow of the Society of Behavioral Medicine Rivera has secured significant research funding throughout his career, with current projects focused on control systems approaches for weight loss maintenance, personalized prenatal weight gain intervention, and optimizing CPAP adherence. His NIH-funded research demonstrates leadership in translating engineering principles to health behavior interventions, particularly in drug abuse prevention through control systems methodologies. His extensive grant portfolio shows consistent support for innovative applications of control engineering across multiple domains. Daniel Rivera directs the Control Systems Engineering Laboratory at ASU, where his team develops innovative control strategies that bridge theoretical engineering with practical healthcare applications. His laboratory serves as a hub for interdisciplinary research, connecting chemical engineering, electrical engineering, and behavioral medicine to solve complex problems in both industrial and healthcare settings.

• Electronic Circuit Design
• RF Power Amplifiers
• Digital Signal Processing
• +5 more

Hans-Georg Brachtendorf is a Professor at the Research Center Hagenberg Embedded Systems within the School of Informatics, Communications and Media at the University of Applied Sciences Upper Austria - Hagenberg Campus. His work focuses on advanced circuit simulation techniques, RF engineering, and digital signal processing with significant contributions to harmonic balance methods and nonlinear circuit analysis. His research interests span electronic circuit design, RF power amplifiers, digital signal processing, and nonlinear dynamics. Specializing in harmonic balance methods and oscillator circuits, he has developed innovative techniques for steady-state circuit simulation, nonlinear adaptive filtering, and multiplier-less digital filter design. His work bridges theoretical mathematics with practical electronic engineering applications, particularly in THz-wave detection and wireless communication systems. Analysis of his recent publications (2022-2025) reveals a strong focus on nonlinear dynamics identification using symbolic regression, optimization of digital filters through multiplier-less architectures, and governing equation reconstruction from measurement data. His work demonstrates consistent advancement in computational efficiency for circuit simulation while addressing modern challenges in RF and THz technologies. While no specific scientific awards are listed in the available data, his research has generated significant academic impact with 43 publications since 1994 and an h-index reflecting substantial citation influence. Professor Brachtendorf has supervised at least two academic works according to institutional records, though specific student names are not provided. His research activities include collaborations evidenced by joint publications with researchers such as Steiger, Dalpiaz, and Kronberger across multiple institutions. The Research Center Hagenberg Embedded Systems serves as his primary laboratory environment, focusing on digital transformation within ICT strength areas with particular emphasis on circuit simulation and signal processing applications.