Find Academic Supervisors

Nahid Binandeh DehaghaniView profile

Research Fellow

• Quantum Optimal Control
• Quantum Entanglement
• Physics-Informed Neural Networks
• +3 more

Nahid Binandeh Dehaghani is a Postdoctoral Researcher at Aalborg University's Department of Electronic Systems within The Technical Faculty of IT and Design. Her work focuses on quantum control systems and optimal control theory for quantum applications. Her research interests span Quantum Optimal Control , Quantum Entanglement , and Physics-Informed Neural Networks , with significant contributions to Pontryagin's Maximum Principle applications in quantum systems. Key research areas include quantum state engineering, entanglement synthesis, and coherence preservation in multi-level quantum systems. Analysis of her recent publications (2024-2025) reveals a strong trend toward hybrid quantum-classical computing approaches, particularly using physics-informed neural networks for solving quantum optimal control problems. Her work bridges theoretical control theory with practical quantum computing implementations, focusing on entanglement optimization and state preservation. She actively collaborates with researchers including Aguiar and Wisniewski, contributing to advancements in quantum information processing and quantum control methodologies.

Antonio RagoView profile

Lecturer

• Computational Science
• Lattice Gauge Theory
• Quantum Chromodynamics
• +5 more

Antonio Rago is a Lecturer in the Department of Mathematics and Computer Science at the University of Southern Denmark (SDU), where he contributes to computational science with a focus on lattice field theories and high-performance computing. His research bridges theoretical physics and advanced computational techniques. Research Interests: His work centers on lattice gauge theory , particularly SU(2) and QCD simulations using Wilson fermions. He specializes in GPU-accelerated algorithms and the HiRep framework for scaling simulations across thousands of GPUs. His interests also extend to fermion formulations, chiral symmetry, and numerical stability in lattice field theories. The recent publications show a strong trend toward scalable computational methods in fundamental physics, emphasizing GPU parallelism, algorithmic efficiency, and non-perturbative quantum field theory. His media contributions reflect growing engagement with science policy, particularly advocating for national AI and supercomputing infrastructure. Scientific Contributions: Active in advancing lattice QCD with novel fermion discretizations. Core developer in HiRep for distributed GPU simulations. Advocate for national investment in academic AI computing. Advising and Grants: While no formal students are listed, his research output suggests mentoring within collaborative projects. He participates in large-scale computational initiatives, likely supported by Danish or EU research grants, though specific funding sources are not disclosed in the text. Labs and Teams: Works within a computational physics group at SDU, collaborating with researchers across Europe on lattice field theory projects. His team leverages GPU clusters for large-scale simulations, focusing on algorithmic scalability and physical observables in gauge theories.

Riccardo RivaView profile

Researcher

• Wind Turbine Engineering
• Aeroelastic Stability
• Structural Analysis
• +3 more

Riccardo Riva is a Special Consultant at the Department of Wind and Energy Systems at the Technical University of Denmark , specializing in wind turbine engineering and aeroelastic stability analysis. His work focuses on combining high-fidelity numerical modeling with machine learning for wind farm optimization, structural response prediction, and control system development. Key research areas: Wind turbine structural dynamics, surrogate modeling, and data-driven control systems Active supervisor in 4 PhD projects (2024-2027) related to wind farm co-design and structural modeling Recent publications address uncertainty propagation, vortex-induced vibrations, and multi-fidelity modeling approaches His research contributes to UN Sustainable Development Goals 7 (Affordable Energy) and 9 (Infrastructure Innovation). Current projects emphasize digital twin technology and floating offshore wind farm optimization.

Søren Juhl AndersenView profile

Associate Professor

• Wind Turbine Engineering
• Computational Fluid Dynamics
• Large Eddy Simulation
• +3 more

Søren Juhl Andersen is an Associate Professor at the Department of Wind and Energy Systems Flows Wind Turbine Design Division, Technical University of Denmark (DTU). His research focuses on wind turbine wake dynamics, computational fluid dynamics (CFD), and energy systems optimization. Education : Not explicitly mentioned in provided texts Research Interests : Dr. Andersen specializes in wind turbine aerodynamics, turbulence dynamics, and data-driven flow control. His work explores Large Eddy Simulation (LES) for wind farm modeling, Proper Orthogonal Decomposition (POD) for wake characterization, and machine learning applications in wind energy optimization. Article Trends : Recent publications emphasize wake steering uncertainty, turbulence integral scales, and reduced-order modeling. Key themes include wind farm control strategies, lidar-assisted flow estimation, and cross-code validation of simulation tools. Projects : He leads initiatives like Train2Wind (2020–2024) and supervises PhD projects on machine learning surrogates, non-equilibrium turbulence dynamics, and wake entrainment studies. Conferences : Presented at Wake Conference (2025), TORQUE (2024), and FarmConners (2020)

Marco BranderView profile

Researcher

• Additive Manufacturing
• Material Science
• 3D Printing
• +3 more

Marco Brander is a Postdoctoral Researcher at the Department of Civil and Mechanical Engineering, Technical University of Denmark (DTU). His work centers on additive manufacturing applications in civil engineering and materials science, with a focus on large-scale 3D printing of concrete and composite materials. His primary research areas include: Additive Manufacturing (particularly Big Area Additive Manufacturing - BAAM) Material Science of thermosets and fiber-reinforced polymers Numerical modeling of material behavior during printing Concrete casting using 3D-printed formworks Optimization of processing parameters for fiber orientation and porosity Brander's recent publications demonstrate a strong emphasis on solving practical challenges in large-scale additive manufacturing, such as printing vertical surfaces and achieving desired material properties in composites. His interdisciplinary approach combines civil engineering with advanced materials processing. He completed his PhD at DTU (2022-2025) on Big Area Additive Manufacturing of Composites, supervised by Prof. Jesper Spangenberg. As a postdoc, he continues to collaborate within the same research group.

Markus Gümoes HolmView profile

Researcher

• Mechanical Engineering
• Biomedical Materials
• Finite Element Analysis
• +6 more

Markus Gümoes Holm is a PhD student and researcher at the Department of Civil and Mechanical Engineering at the Technical University of Denmark (DTU). His work focuses on computational modeling in mechanical and biomedical engineering, particularly in applications involving structured grids and finite element analysis. Education: Enrolled as a PhD student since 2023. Research Interests: Markus specializes in Structured Grid Modeling , Finite Element Analysis , and Energy Absorption through inverse design techniques. His work bridges mechanical engineering and biomedical materials, with applications in surgical simulations and grid-based optimization. Recent Publications: His 2024 paper on incision and suture modeling demonstrates expertise in grid-based numerical methods and biomedical mechanics. Projects: Actively involved in the project Maximizing Energy Absorption by Inverse Design (2023–2026) as a PhD Student, supervised by leading academics like Ole Sigmund and Niels Aage. Labs/Teams: Affiliated with the DTU Construct research group, focusing on computational mechanics and grid-based engineering solutions.

Lars Nørvang AndersenView profile

Associate Professor

• Statistical Learning
• Bioinformatics
• Mathematical Modelling
• +5 more

Lars Nørvang Andersen is an Associate Professor at the Department of Mathematics, Aarhus University, affiliated with the Stochastics research group. His academic journey includes a Ph.D. in applied probability theory (2009) and a master's degree in statistics from Aarhus University. Research focus: statistical learning, bioinformatics, stochastic modeling Former positions: Postdoctoral researcher at Bioinformatics Research Centre (Aarhus) and Stanford University's Department of Biology Academic service: Assessment committees and Danish Statistical Society treasurer His research spans statistical learning, machine learning, and stochastic modeling in bioinformatics and operations research. Recent publications highlight interdisciplinary work in Gaussian process models, population genetics, and differentially private learning algorithms. Key trends in publications include: Advancements in self-distillation techniques (2021) Applications of phase-type distributions in genetics Stochastic modeling for rare event simulations (2018) Optimization algorithms for logistics and machine learning Teaching activities cover applied statistics, theoretical statistics, and modern statistical learning at bachelor's and master's levels, with industry collaborations in student projects.

Luciana TavaresView profile

Associate Professor

• Dielectrics
• Capacitor Technology
• Additive Manufacturing
• +5 more

Luciana Tavares is an Associate Professor at the Institute of Mechanical and Electrical Engineering, University of Southern Denmark. Her research focuses on advanced capacitor technologies, dielectric materials, and additive manufacturing processes, with significant contributions to polymer electrolyte membrane fuel cells, nanocomposite thin films, and surface engineering. Institute of Mechanical and Electrical Engineering, University of Southern Denmark Center for Industrial Electronics Her research spans dielectric material optimization , metallized film capacitors , and additive manufacturing of metallic components , aiming to improve energy storage efficiency, mechanical integrity, and surface properties in power electronics. She explores the interplay between microstructure and performance in 316L stainless steel and develops surfactant-modified nanocomposite capacitors. Recent work includes helium-ion irradiation for dielectric enhancement , flow plate roughness in fuel cells , and high-voltage aluminum polymer capacitors . Her projects are supported by foundations like Norlys Vækstpulje and Villum Experiment. Scientific Awards : Villum Grant - Villum Experiment (2021) She supervises projects on dielectric properties , metallization ratios , and UV treatment of biaxially oriented polypropylene , while participating in conferences like PCIM Europe and Hydrogen & P2X. Collaborations include institutions in Germany and Denmark, with expertise in nanofibers, thin films, and surface science.

• Power Electronics
• Semiconductor Device Physics
• Renewable Energy Technologies
• +5 more

Samaneh Sharbati is an Associate Professor at the Institute of Mechanical and Electrical Engineering, University of Southern Denmark, and a key researcher at the Centre for Industrial Electronics. Her work focuses on power electronics, semiconductor device physics, and renewable energy technologies. Active research in GaN/SiC power devices for high-voltage and high-frequency applications Specialization in thin-film solar cells (Sb2Se3, CIGS) and optoelectronic devices Developing analytical models for semiconductor charge distribution and breakdown behavior Recent publications highlight trends in wide bandgap semiconductor design and solar cell efficiency optimization. She supervises courses in power electronics, material science, and mechatronics systems. Her projects involve EU-funded chip development initiatives and industry collaborations.

Ali KhosraviView profile

Associate Professor

• Machine Learning
• Energy Systems Analysis and Optimization
• Power-to-X Technologies
• +7 more

Ali Khosravi is an Associate Professor at the University of Southern Denmark (SDU) , affiliated with the Institute of Mechanical and Electrical Engineering and SDU Mechatronics (CIM) . His work focuses on integrating machine learning with energy systems, particularly in the areas of power-to-X technologies, renewable energy optimization, and thermodynamic systems. Research Interests: Machine learning applications in energy systems Power-to-X technologies (methanol, hydrogen) Thermodynamic analysis and optimization Renewable energy integration and storage Solid oxide fuel cells (SOFC) and electrolysis systems His recent publications span high-impact journals such as Energy , Renewable Energy , and International Journal of Hydrogen Energy , focusing on topics like methanol production from CO₂ and solar hydrogen, stochastic modeling for energy systems, and AI-driven optimization of fuel cell systems. Scientific Awards: Villum Young Investigator Grant (2023) Listed among World's Top 2% Scientists in Energy (2021, 2022) Postdoctoral Fellowship Award (2018) PhD Scholarship Award (2016) Teaching & Supervision: Course instructor for "Mechanical Semester Project 3" Supervisor for Special Course in Mechanical Engineering PhD supervision: M. Lautenschläger, M. Taslimi, N. Mirzakhani, L. Xia, and others Research Labs & Teams: He leads the DDPTX: Deciphering the Dynamics of Power-to-X Systems project (2024–2029), funded by Villum Fonden, and actively participates in several international collaborations including the Denmark & Australian Partnership on Green Hydrogen Value Chains and GREMEOH-Power-to-X.

Jerome JouffroyView profile

Professor

• Control Systems Engineering
• Robotics
• Autonomous Vehicles
• +3 more

Professor Jerome Jouffroy is affiliated with the University of Southern Denmark under the Faculty of Engineering and Science , specializing in Mechanical and Electrical Engineering . His work bridges theoretical control systems research with practical applications in robotics, marine engineering, and mechatronics. Research Focus: Control systems design, autonomous vehicles, marine stabilization, and 3D-printed mechatronics. Collaborations: Active in international networks, particularly in drone cooperative control and marine systems. Projects: Supervised research on drone load handling and energy-efficient UAVs. His publications highlight advancements in quadrotor control , modulating function methods , and marine vessel stabilization . Recent work explores tilt-rotor energy efficiency and cooperative drone systems. Despite extensive media engagement (e.g., defense industry AI applications, offshore wind drone servicing), no formal scientific awards are listed. Teaching includes Control Systems and interdisciplinary team projects.

• Refrigeration Systems
• Fouling
• Heat Pumps
• +4 more

Milad Morid Zadeh is a Ph.D. student at the Institute of Mechanical and Electrical Engineering, University of Southern Denmark (SDU). He is actively involved in research on refrigeration systems, heat pumps, and district heating technologies. Research Areas: His work focuses on transcritical CO₂ refrigeration systems, including fault detection in gas coolers, fouling mitigation, and adapting systems to rising temperatures. He explores energy recovery and integration with district heating networks. Projects: Milad is a key participant in the DREAMS project (2024-2027) and the DH4FREE project (2024-2026), both addressing sustainable refrigeration and carbon-free heating solutions. Teaching & Supervision: He contributes to courses such as "Advanced Cooling and Heating Systems" and "Thermodynamics" for MSc and BEng programs, focusing on simulation, optimization, and control of refrigeration systems.

Mohammad MalekanView profile

Associate Professor

• Additive Manufacturing
• Computational Solid Mechanics
• Fatigue and Fracture Mechanics
• +6 more

Mohammad Malekan is an Associate Professor at the SDU Mechatronics (CIM) within the Institute of Mechanical and Electrical Engineering at the University of Southern Denmark. His research spans computational solid mechanics, fatigue and fracture mechanics, tribology, additive manufacturing, and structural integrity of metallic/composite materials. Research Focus: Additive manufacturing (L-PBF, FDM), finite element modeling (FEM/XFEM), material characterization, surface roughness optimization, and defect propagation in metallic structures. Scientific Contributions: Over 61 publications with expertise in fatigue analysis of titanium components, thermal load modeling in machining, and fracture mechanics of 3D-printed alloys. Awards: Recipient of the Marie Skłodowska-Curie Individual Postdoc Fellowship, Distinguished PhD Thesis award (2018), and multiple postdoctoral scholarships. Collaborations: Active in European Mechanics Society, Ingeniørforeningen (IDA), and international projects on additive manufacturing and structural repair. Recent Research Trends: Focus on laser powder bed fusion (L-PBF) of 316L stainless steel and Inconel 625, investigating microstructure-mechanical property correlations, post-heat treatment effects, and porosity analysis using X-ray nanotomography. His work also addresses tool wear optimization, friction effects in machining, and multi-scale modeling of defects in additive-manufactured components. Scientific Awards: Marie Skłodowska-Curie Postdoc Fellowship (2019) Distinguished PhD Thesis (2018) Postdoctoral Fellowships (2017) Four-year PhD Scholarship (2013) Teaching & Supervision: Supervised Master’s theses on topology optimization of additively manufactured parts and teaches courses in finite element methods, experimental solid mechanics, and advanced mechanical engineering topics. Labs & Teams: Leads research projects on fatigue analysis of additively manufactured titanium components and mechanical properties of metallic parts. Collaborates with international institutions on structural health monitoring and computational modeling.

• Orthopedic Surgery
• Trauma Surgery
• Wound Healing
• +3 more

Anders Jordy is a Clinical Associate Professor affiliated with the Department of Regional Health Research at IRS - Lillebælt Hospital , specializing in Orthopaedics (Kolding) . His work integrates clinical practice with research in orthopedic trauma management. Research Interests : 3D Printing Applications in Preoperative Surgical Planning Wound Complication Prevention in Fracture Treatments Intermittent Pneumatic Compression Therapy for Edema Reduction Comparative Analysis of Proximal Tibia and Ankle Fracture Outcomes Retrospective Cohort Studies in Trauma Care Optimization of Surgical Workflow for Malleolar Fractures Scientific Collaborations span multiple institutions, with a focus on surgeon , proximal tibia fractures , and ankle fracture research. Notable partnerships include clinicians like Viberg, B. , Damborg, F.L. , and Arndt, K.B. .

• Building Materials
• Moisture Transfer
• Hygrothermal Properties
• +3 more

Kirstine Meyer Frandsen is an Adjunct Associate Professor at Aalborg University's Department of Construction, Urban and Environmental Engineering under the Faculty of Engineering and Science. She specializes in hygrothermal properties of building materials, moisture transfer, and sustainable construction practices. Projects: NOWA (2018-2021), Air Permeability Setup (2018-2020) Research Areas: Building Material Hygroscopy, Water Vapor Dynamics, Sustainable Construction, Indoor Environment Her publications focus on hygrothermal characterization, moisture modeling, and building performance optimization. She contributes to datasets on operational building monitoring and has received the Best Paper Award at RM4L2020 in 2021. Scientific Awards: Best Paper Award: RM4L2020 (2021)