Find Academic Supervisors

Mikael AxinView profile

Associate Professor

• Fluid Power Systems
• Mechanical Engineering
• Hydraulic Systems
• +3 more

Mikael Axin is an Associate Professor at Linköping University's Department of Management and Engineering, specializing in Fluid and Mechatronic Systems. He teaches courses in machine elements, product development, and hydraulics, and supervises bachelor and master's theses. His research focuses on hydraulic systems for mobile machinery, energy efficiency, and system dynamics, with a particular emphasis on fluid power and mechanical design. Education: PhD in Fluid and Mechatronic Systems, Linköping University (2015) Licentiate of Engineering in Fluid and Mechatronic Systems, Linköping University (2013) Master of Science in Mechanical Engineering, Linköping University (2009) Research Interests: Dr. Axin explores hydraulic system optimization in mobile applications, including energy efficiency, pump control strategies, and damping design. His work bridges theoretical modeling with practical implementation, addressing challenges in industrial machinery and sustainable engineering solutions. Awards: Recipient of the Gyllene Skiftnyckeln award for Best Teacher (2013) Ingeströmska Stiftelsen Scholarship for overseas studies (2010) Teaching and Development: He actively contributes to pedagogical innovation, including digitalizing exams to enhance student accessibility and reduce environmental impact. His courses emphasize hands-on learning and real-world problem-solving in mechanical engineering. Lab/Team: His work is conducted within the Product Realisation (PROD) unit, collaborating with industry partners to advance fluid power systems and product development methodologies.

Narayanan MenonView profile

Professor

• Experimental Condensed Matter Physics
• Soft Matter Physics
• Granular Materials
• +3 more

Narayanan Menon is a Professor in the Department of Physics at the University of Massachusetts Amherst, within the College of Natural Sciences. His research focuses on experimental condensed matter physics and soft matter systems, particularly in nonequilibrium statistical physics. He leads the Menon Research Group, which investigates phenomena such as granular flows, sedimentation of anisotropic objects, and interfacial dynamics of thin films and elastic surfactants. Menon holds a Ph.D. from the University of Chicago (1995). His work bridges experimental and theoretical physics, addressing topics like collective behavior in active matter, wrinkling and buckling of thin films, and the interplay between ordering and mobility in complex systems. He is affiliated with the Condensed Matter Physics group at UMass Amherst and maintains an active laboratory dedicated to experimental studies of nonequilibrium phenomena. Recent research highlights include studies on hindered settling of anisotropic particles, dynamics of sedimenting disc arrays, and the mechanics of elastic filaments on fluid interfaces. His publications reflect a deep engagement with fluid dynamics, granular physics, and soft matter, with a focus on experimental validation of theoretical models.

Stefano Di StefanoView profile

Professor

• Supramolecular Chemistry
• Dynamic Combinatorial Chemistry
• Supramolecular Catalysis
• +5 more

Stefano Di Stefano is a Full Professor of Organic Chemistry at the University of Rome La Sapienza, Department of Chemistry. He holds a PhD (2000) and undergraduate degree from the same institution. His academic career spans postdoctoral research at La Sapienza, progressing through Researcher, Associate Professor roles before achieving Full Professorship in 2007. He has conducted research at Universidad Autónoma de Madrid (Spain) and Albrecht Christian Universität Kiel (Germany). Research : Focuses on supramolecular chemistry, dynamic combinatorial chemistry, and non-heme metal catalysis for C-H bond oxidation. Key projects include dissipative systems (fuel-driven molecular machines), supramolecular catalyst design, and understanding macrocyclization equilibria. Collaborates with researchers from Tor Vergata Rome, Parma, Bologna, Eindhoven, Cambridge, Girona, Manchester, and Mainz. Teaching : Teaches Organic Chemistry II, IV, and specialized courses for Chemical Sciences. Awarded the Excellent University Teaching Prize four times (2014, 2017, 2018, 2021) for his instruction in Physical Organic Chemistry. Awards : Recipient of the Italian Chemical Society's 2020 national prize for methodological advances in organic chemistry. Recognized for pioneering work in chemical fuels for molecular machines and dissipative systems. Laboratory : Based in Cannizzaro Building (office/lab 329/324), his group develops novel catalytic systems and fuel-driven devices. Recent work includes transient polymers, pH-responsive nanodevices, and biomimetic oxidation catalysts.

Annika Stensson TrigellView profile

Professor

• Vehicle Dynamics
• Energy Efficiency
• Vehicle Control Systems
• +3 more

Annika Stensson Trigell is a Professor and Vice President for Research at KTH Royal Institute of Technology, affiliated with the Division of Vehicle Dynamics under the Digital Futures Faculty. Her research focuses on vehicle dynamics, energy efficiency, and control systems, with particular emphasis on electric vehicles, tyre-vehicle interaction, and fault-tolerant systems. She teaches and examines courses in vehicle engineering, including ground vehicle dynamics and system technology. Her academic work spans over two decades, with publications covering topics such as energy-efficient yaw moment control, rolling resistance analysis, and autonomous vehicle coordination. She has contributed to advancements in vehicle safety, aerodynamics, and over-actuated systems. Her research integrates experimental and simulation-based methods, addressing challenges in both theoretical and applied mechanics. Key areas of investigation include optimizing vehicle performance under dynamic conditions, improving energy efficiency through advanced control strategies, and enhancing road safety through driver behavior analysis. Her work often bridges mechanical engineering principles with computational modeling, emphasizing interdisciplinary collaboration. Annika has led projects on autonomous parking systems, crosswind effects on vehicles, and tyre dynamics modeling. Her contributions have been published in journals like Vehicle System Dynamics , Energies , and International Journal of Vehicle Design , reflecting her deep engagement with both academic and industrial applications.

• Unconventional reservoirs
• Coalbed methane
• Reservoir simulation
• +2 more

Christopher Clarkson is Professor and Associate Head in the Department of Earth, Energy and Environment at the University of Calgary. He holds PhD and MASc degrees from University of British Columbia and directs research on unconventional reservoirs. Research Focus: His program investigates coalbed methane storage, hydraulic fracture characterization, and reservoir simulation for tight oil/gas systems. Core methodologies include rate-transient analysis and nanopore structure characterization. Awards: ASTech Innovation Award (2017) SPE Distinguished Lecturer (2009) Alfred Noble Prize (2005) Publications: 200+ papers on production analysis of shale reservoirs, with recent work focusing on flowback modeling and enhanced recovery techniques.

Sumit MazumdarView profile

Professor

• Condensed Matter Physics
• Atomic, Molecular, and Optical Physics
• Superconductivity
• +3 more

Sumit Mazumdar is a Professor of Physics, Chemistry, and Optical Sciences at the University of Arizona. As a Primary Faculty member, he leads research in strongly correlated-electron systems, spanning from superconductors to carbon-based nanomaterials. His work focuses on understanding unconventional superconductivity, charge-ordering phenomena, and photophysics in organic semiconductors. Mazumdar holds a Ph.D. from Princeton University (1980) and has made significant contributions to the field through collaborations with experimentalists in nonlinear optics and ultrafast spectroscopy. His research interests include the theoretical analysis of quasi-1D/2D systems, such as organic charge-transfer solids and polycyclic aromatic hydrocarbon superconductors. He explores the interplay between electronic correlations and material properties, with applications in organic lasers, solar cells, and transistors. Notable achievements include the development of the valence transition model for copper oxides and the study of paired-electron liquids in frustrated systems. Honors: APS Fellow (2003), Koffler Prize (2006), Outstanding Referee (2010) Key Focus Areas: Superconductivity, Exciton Dynamics, Quantum Phase Transitions Collaborative Work: Partnerships with experimental groups on ultrafast spectroscopy and nonlinear optics Recent studies highlight his exploration of singlet fission in organic materials, triplet-pair correlations, and pressure-induced phase transitions in superconductors. His theoretical frameworks bridge experimental observations with fundamental physics principles in condensed matter systems.

Jafar Al-ZailiView profile

Lecturer

• Renewable Energy Systems
• Turbomachinery Design
• Thermal Energy Storage
• +4 more

Dr. Jafar Al-Zaili is a Lecturer in Power and Propulsion at City, University of London, and Programme Director for Mechanical Engineering. He holds a PhD in Aerospace Engineering from Cranfield University and has extensive experience in engineering roles including design, R&D, and project management. His research focuses on micro gas turbines for renewable energy, thermal energy storage, low-carbon propulsion, and energy policy dynamics. He teaches modules on Gas Turbine Engineering, Distributed Generation, and Aerodynamics/Propulsion. Education: PhD in Aerospace Engineering, Cranfield University (2012) MSc in Aerospace Propulsion, Sharif University of Technology (2001) BSc in Mechanical Engineering, Sharif University of Technology (1999) Postgraduate Certificate in Academic Practice, City, University of London Research Interests: His work addresses optimizing micro gas turbines for solar applications, pollution reduction in combustion systems, and the integration of distributed generation in urban areas. He explores thermal storage systems, hydrogen fuel utilization, and policy impacts on low-carbon technologies. Publications: Recent contributions include studies on hydrogen-methane combustion, privacy-preserving data-sharing schemes, and microgrid dynamic pricing. Over 30 peer-reviewed articles and chapters highlight his interdisciplinary impact. Awards: Fellow of the Higher Education Academy Official Nominator for VinFuture Prize Professional Activities: Session organizer for Cycle Innovations since 2015 Member of ASME TurboExpo 2020 Local Liaison Committee Guest Editor for Energies journal special issue on solar thermal power Conference Advisory Board member for International Gas Turbine Conference Labs/Teams: Part of the Turbomachinery and Energy Systems Research Group, collaborating on projects such as solar-powered microturbine systems and hydrogen-based propulsion.

David StaackView profile

Associate Professor

• Plasma Physics
• Materials Processing
• Energy Conversion
• +3 more

David Staack is an Associate Professor in the Department of Mechanical Engineering at Texas A&M University's College of Engineering and serves as Deputy Vice Chancellor for Research. He holds a PhD in Mechanical Engineering from Drexel University (2008), with additional studies at Princeton University (2004) and a BS/MS from the University of Virginia (2001). His laboratory focuses on experimental plasma engineering with applications spanning energy conversion, environmental remediation, and medical technology. Research interests center on plasma physics and chemistry, including: Micro/nanoscale plasma systems Non-thermal plasma applications in materials processing Fuel conversion and combustion enhancement Advanced diagnostic techniques (laser/optical/x-ray) Plasma sterilization methods Electric propulsion systems Recent publications demonstrate strong focus on energy applications (geothermal drilling, hydrocarbon conversion) and advanced diagnostics. Article themes include plasma-assisted material processing, radiation effects on biomaterials, and innovative imaging techniques combining AI with multi-modal radiography. Major honors include: NSF CAREER Award (2011) Engineering Excellence Award (2015) Phillips 66 Faculty Fellowship (2016) Sallie and Don Davis Career Development Professorship (2017-2021) Directs the Plasma Engineering and Diagnostics Laboratory investigating fundamental plasma phenomena and industrial applications. Current projects involve plasma-enhanced drilling, hydrocarbon reforming, and medical device sterilization. Secured multiple grants from NSF, DOE, and industry partners including Pioneer Natural Resources and 3M.

Suoya FanView profile

Academic

• Structural Geology
• Tectonics
• Geomorphology
• +2 more

Research Assistant Professor Suoya Fan investigates tectonic processes at the University of Pittsburgh's Department of Geology and Environmental Science. Her interdisciplinary research integrates structural geology, thermochronology, and geomorphology to understand mountain building and landscape evolution. Research focuses on: 3D structural modeling of convergent margins Tectonic-climate interactions Active fault systems in Alaska and Himalayas Thermochronologic constraints on exhumation Field-based studies in Alaska, Himalayas, and Tibet examine crustal deformation patterns using structural mapping, geochronology, and numerical modeling approaches. Current NSF-funded projects analyze subduction zone splay faulting and drainage evolution in orogenic systems.

• Compound Semiconductors
• High Frequency Electronics
• Power Electronics
• +6 more

William Stanchina is a Professor in the Department of Electrical and Computer Engineering at the University of Pittsburgh’s Swanson School of Engineering. His research focuses on semiconductor devices, including compound semiconductors, high-frequency electronics, and power electronics. He has developed novel heterojunction devices and transitioned R&D into production for government and commercial applications. His work includes wide bandgap semiconductors for smart grid and biomedical instrumentation, as well as nanowire growth for device implementation. Dr. Stanchina holds a PhD and MSEE in Electrical Engineering from the University of Southern California (1973–1978) and a BS in Electrical Engineering from the University of Notre Dame (1971). His research emphasizes semiconductor materials growth, IC fabrication processes, and device characterization. He has established an electronic device measurement capability at Pitt to extract equivalent circuit models for semiconductor devices. His publications span GaN-based power converters, nanofabrication techniques, and optoelectronic pathogen detection systems. Recent work explores high-power-density modular converters and linear models for wide bandgap semiconductor circuits.

Miguel MatosView profile

Assistant Professor

• Persistent Memory
• Blockchain Scalability
• Systems Evaluation
• +3 more

Miguel Matos is an Assistant Professor at Instituto Superior Técnico (IST) of Universidade de Lisboa and a Researcher at INESC-ID's Distributed Systems Group. His research focuses on Persistent Memory systems, blockchain scalability, distributed systems evaluation, and database performance. He has led major projects such as Angainor (reproducible evaluation tools) and ACT-PM (crash-consistency testing). Research interests include exploring persistent memory's challenges, blockchain Layer-2 limitations, automated bug detection (HawkSet, Mumak), and decentralized network emulation (Kollaps). He has received awards like the Gilles Muller Best Artefact Award at EuroSys 2025 and Best Paper Awards at DAIS 2017 and IPDPS 2012. He coordinates multi-million Euro grants including EU's Qualichain and national FCT projects. Teaching includes courses like 'Highly Dependable Systems' and 'Large-Scale Systems Engineering' at IST. His work bridges academia and industry, collaborating with startups like MIMA Housing and LeanXcale.

Zhomart OrmanView profile

Research Fellow

• Health Economics
• Cost-Effectiveness Analysis
• Intensive Care Medicine
• +3 more

Dr Zhomart Orman is a Research Fellow at the Australian and New Zealand Intensive Care Research Centre (ANZIC-RC), Monash University. He concurrently serves as a Research Officer at Alfred Health (2023–2024). His expertise lies in health economics, particularly cost-effectiveness analyses in intensive care and chronic disease management. Dr Orman holds a Doctor of Medicine from Kazakh National Medical University, a Master of Science in Public Health from Heidelberg University, and a PhD from Monash University, focusing on stroke-related economic policies. His research emphasizes model-based and trial-based evaluations of healthcare interventions, such as cryopreserved platelet therapies and chronic disease management programs post-stroke. Collaborations include global health initiatives with the World Bank and WHO, advancing universal health coverage. Recent work includes cost-effectiveness studies on lipid-lowering therapy adherence, stroke rehabilitation, and cardiovascular polypharmacy. Education: Doctor of Medicine, Kazakh National Medical University Master of Science in Public Health, Heidelberg University PhD in Health Economics, Monash University Research Interests: Dr Orman’s work bridges clinical practice and policy, addressing cost-effectiveness of interventions in acute care and chronic disease. Key areas include: Economic evaluation of healthcare policies Medication adherence and polypharmacy Stroke rehabilitation and post-stroke management Global health equity and universal health coverage Advising & Grants: Accepting PhD students since 2021. Research supported by ANZIC-RC and external collaborations with institutions like Monash Health and Alfred Health. Labs & Teams: Affiliated with the Stroke and Ageing Research Group (Monash Health) and the ANZIC-RC.

Mark SandlerView profile

Professor

• Digital Signal Processing
• Machine Learning
• Deep Learning
• +6 more

Mark Sandler is a Professor of Signal Processing and Director of the Centre for Digital Music at Queen Mary University of London. He leads the School of Electronic Engineering and Computer Science and contributes to the Centre for Multimodal AI. His work spans Digital Signal Processing, Machine Learning, and their applications in Audio and Music Technology, including source separation, neural audio synthesis, and physics-informed models. He has pioneered research in music informatics, sound synthesis, and AI-driven creativity. Awards include Fellowships from the Royal Academy of Engineering (FREng), IEEE (FIEEE), IET (FIET), and Audio Engineering Society (FAES). Research interests include audio segmentation, harmonic analysis, and interdisciplinary projects with computer vision. He has authored numerous publications on topics like neural synthesizers, knowledge distillation, and spatial audio systems. His contributions extend to semantic web technologies for music production and interactive audio applications. Current projects focus on low-latency synthesis, machine learning for music tagging, and adaptive audio systems. Awards and grants highlight leadership in digital music innovation. His academic roles include supervising research groups and directing interdisciplinary initiatives. The labs under his leadership include the Centre for Digital Music and collaborations with industry partners on audio engineering and immersive technologies.

Yeghiazar TaroyanView profile

Lecturer

• Space Plasma Physics
• Magnetohydrodynamic (MHD) Instabilities
• Solar Atmosphere Dynamics
• +4 more

Yeghiazar Taroyan is a Lecturer in the Department of Physics at Aberystwyth University, part of the College of Physical Sciences. His research focuses on space plasmas, magnetohydrodynamic (MHD) instabilities, and solar atmosphere dynamics. He holds a PhD from the University of Sheffield and has held roles including a Leverhulme Trust Early Career Fellowship (2006). Education: PhD in Solar Physics, University of Sheffield (2003) Prior PDRA position at Armagh Observatory Research Interests: Solar/stellar atmospheric heating, MHD instabilities in compressible flows, numerical modeling of solar transients, and Alfvén wave dynamics. His work contributes to UN Sustainable Development Goals related to advancing climate action and earth science understanding. Grants & Awards: Leverhulme Trust Early Career Fellowship (2006) Co-Investigator on STFC-funded 'Solar System Physics at Aberystwyth University' (2019-2022) Teaching & Supervision: Leads courses on astronomy, solar physics, and projects. Supervises PhD students in solar dynamics and MHD modeling. Labs/Teams: Member of the Solar System Physics Group at Aberystwyth, collaborating on projects involving coronal loops and solar wind modeling.

• Particle Physics
• Neutrino Physics
• Astroparticle Physics
• +3 more

Ziping Ye is a Postdoctoral Researcher in the Department of Physics and Astronomy at the University of Pennsylvania's School of Arts & Sciences. His research focuses on neutrino physics, detector technology, and astroparticle experiments. He contributes to major international collaborations like JUNO, SNO+, and DarkSide, advancing neutrino oscillation studies, dark matter detection, and supernova neutrino monitoring. Key research interests include reactor antineutrino oscillations, solar neutrino flux measurements, liquid scintillator detector development, and precision neutrino spectroscopy. His work addresses fundamental questions about neutrino mass hierarchy, dark matter candidates, and proton stability via multi-messenger astrophysics. Recent projects involve optimizing JUNO's central detector system, developing calibration strategies for neutrino telescopes, and simulating background processes in large-scale experiments. His publications highlight innovations in detector design, data analysis techniques, and theoretical interpretations of neutrino data. Ziping Ye's contributions span experimental physics instrumentation, data analysis frameworks, and interdisciplinary collaborations between particle physics and astrophysics communities.