Sergey Amirkhani Azaryan is an Assistant Professor at the Institute of Physics, Yerevan State University. His research focuses on mathematical optimization, differential equations, and their applications in physics problems, particularly in thermal conductivity and anisotropic materials. Yerevan State University, Institute of Physics His work spans optimization algorithms, parametric modeling, and physics-based mathematical methods. Publications include studies on extremum detection, constraint optimization, and educational resources for college-level mathematics. Scientific awards include Best Research Article 2023 , Best Researcher 2023 , and Researcher of the Year 2025 . He has authored educational manuals like Methods of Optimization (2024) and Mathematics in College (2022).
Giovanni Ghigliotti is a Lecturer and researcher at the University of Grenoble Alpes since 2014, affiliated with the LEGI laboratory (UMR 5519). He is part of the MOST team, specializing in Turbulence Modeling and Simulation. His research focuses on multiphase fluid dynamics, particularly phase-change phenomena like boiling and cavitation, with an emphasis on numerical simulation to study hydrodynamic interactions, wetting, and material deformation. He holds a PhD in Fluid Mechanics from Joseph-Fourier University (2010). His work spans cavitation erosion mechanisms, fluid-structure interaction modeling, and heat transfer in multiphase systems. He contributes to the development of the Yales2 code, a parallel numerical simulation tool for complex flows. In teaching, he leads the Energy pathway of the Master's program in Process Engineering at Grenoble Alpes, instructing fluid mechanics, numerical methods, and thermodynamics. His research also involves collaborations with the GIS SUCCESS group, advancing high-performance computing and turbulence modeling. Key research themes include: Boiling crisis dynamics and thermal insulation effects Cavitation bubble collapse and material erosion Centrifugal microencapsulation process analysis Fluid-structure interaction in multiphase flows Unstructured grid simulations for phase change phenomena His recent publications (2024-2019) demonstrate expertise in non-Newtonian fluid simulation, cavitation erosion mechanics, and advanced computational methods for multiphase systems.
Wayne W. Weaver is a Professor of Mechanical and Aerospace Engineering at Michigan Technological University (MTU), serving as Associate Chair and Director of Graduate Studies. He also holds an affiliation as a Professor in the Electrical and Computer Engineering department. Weaver earned dual BS degrees in Electrical and Mechanical Engineering from GMI Engineering & Management Institute (1997), followed by MS and PhD in Electrical Engineering from the University of Illinois at Urbana-Champaign. His research focuses on power electronics, electric vehicle systems, nonlinear control strategies, and microgrid technologies, with particular emphasis on renewable energy integration and grid resilience. His professional experience includes roles at Caterpillar Inc. (1997-2003) and the US Army Corps of Engineers ERDC (2006-2008). He is a registered professional engineer in Illinois. Key research areas include microgrid stabilization, optimal control of energy systems, and wave energy converter optimization. Weaver has contributed to advancements in distributed energy resources, pulsed-power load management, and exergy-based control methodologies. Teaching responsibilities include courses on hybrid electric vehicle propulsion and linear systems theory. His work often bridges theoretical control frameworks with practical applications in maritime, military, and aerospace systems. Despite the lack of listed awards, his extensive publication record reflects impactful contributions to energy systems research. He collaborates with labs focused on renewable energy integration and resilient power grid architectures.
Niranjan Shivaram is an Assistant Professor of Physics and Astronomy at Purdue University. He holds a PhD in Physics from the University of Arizona (2013), an MS in Physics from Jawaharlal Nehru University (2007), and a BS in Physics, Chemistry, and Mathematics from St. Joseph's College, Bangalore University (2005). His research focuses on ultrafast electron dynamics using coherent extreme-ultraviolet/soft-x-ray light from high harmonic generation (HHG), with applications in studying molecular systems at femtosecond-to-attosecond timescales. Key areas include conical intersection dynamics, X-ray free-electron lasers (XFEL), and nonlinear optical spectroscopy techniques like optical Kerr-effect spectroscopy. His experimental work combines HHG sources with optical parametric amplifiers to achieve time-resolved measurements. Notable projects involve probing ultrafast dynamics in molecules such as nitrobenzene, CO₂ dimers, and hexagonal boron nitride. He has utilized facilities like the Linac Coherent Light Source (LCLS) for XFEL-based studies and developed novel setups for electric field-resolved spectroscopy. His group also explores attosecond entangled photon generation from metastable helium and advanced signal analysis methods like lock-in amplification and polarization projected density matrices. Research themes span molecular frame analysis, intermolecular Coulombic decay, and nonadiabatic dynamics. Shivaram's contributions include advancing ultrafast transient polarization spectroscopy, velocity-map imaging, and focal overlap gating techniques to enhance signal-to-noise ratios in photoelectron experiments. His work bridges theoretical modeling with cutting-edge experimental setups to uncover fundamental mechanisms in atomic, molecular, and condensed matter systems.
Pietro Bareschino is an Associate Professor in the Department of Engineering at University of Sannio. His research spans chemical looping combustion (CLC), CO2 capture and utilization, methanation, and fluidized bed reactor technology. He has contributed extensively to studies on sustainable energy systems, including bioenergy with carbon capture, solar PV lifecycle analysis, and coal fragmentation dynamics. His recent work includes a 2024 publication on bioenergy with carbon capture, where he analyzed integrated torrefaction–CLC–methanation using solar-dried biomasses. In 2023, he developed reduced-order models for methane reactors and evaluated solar PV systems in Pakistan, focusing on energy payback periods and environmental impacts. Earlier, he studied chemical looping combustion configurations (2020), tobacco stem biofuels (2020), and desiccant wheel performance (2013). His collaborations include researchers like Erasmo Mancusi, Francesco Pepe, and Claudio Tregambi. While no specific awards are mentioned, his work appears in journals like Applied Energy and Powder Technology , with conference contributions to Engineering Conferences International and AIDIC . He has explored innovative reactor designs, such as dual fluidized beds with internal/external solids circulation (2017), and techno-economic analyses of supercritical coal-fired power systems (2024).
Marco Will is a Project Employee at Aalto University's Department of Applied Physics , specializing in quantum devices and nanoscale systems. He holds a Master's degree in Engineering and Technology from Rheinisch-Westfälische Technische Hochschule Aachen (awarded 2016). Education: Master's in Engineering and Technology (RWTH Aachen, 2016) Marco's research focuses on graphene-based quantum systems , carbon nanotubes , and superconducting microwave devices . Key areas include low-noise amplification , thermal response dynamics , and entanglement generation using advanced nanofabrication techniques. His work often intersects with quantum technology , microwave engineering , and condensed matter physics . Recent publications highlight his expertise in graphene microwave resonators , Josephson junction fluctuations , and Kerr-free metamaterials for quantum information processing. Collaborations span institutions in Europe, with datasets contributed to open repositories like Zenodo. Marco has presented at international conferences, including a 2020 talk on suspended CNT weak links for condensed matter sensing. His research outputs include 13 publications, multiple datasets, and a doctoral thesis on low-dimensional electrical systems .
Matteo Giacomini is an Associate Professor of Computational Engineering at Universitat Politècnica de Catalunya (UPC), affiliated with the Laboratori de Càlcul Numèric (LaCàN). He is also an affiliated researcher at CIMNE (Severo Ochoa Excellence Centre) and affiliated faculty at IMTech (Institute of Mathematics of UPC-BarcelonaTech). His research focuses on numerical methods for PDEs, including high-order and low-order methods, error estimation, and reduced-order modeling. Applications span computational fluid dynamics, solid mechanics, image segmentation, and industrial sustainability. Education : PhD in Applied Mathematics, École Polytechnique (2016) MSc & BSc in Mathematical Engineering, Politecnico di Milano (2013 & 2010) Research Interests : High-order methods: finite element, discontinuous Galerkin Error & adaptivity: a posteriori estimates, mesh adaptation Dimensionality reduction: reduced order models, scientific ML PDE-constrained optimization: topology/shape optimization Software development: open-source CSE tools Recent Work Trends : Recent articles emphasize multi-fidelity surrogate modeling, domain decomposition for parametric PDEs, and robust finite volume methods for incompressible/compressible flows. He also contributes to HDG method implementations (e.g., HDGlab) and industrial applications of CFD. Labs & Affiliations : LaCàN - UPC CIMNE - Innovative Algorithms & Credible Data-Driven Models groups IMTech - Mathematical Modelling research line
Associate Professor Hoang Viet Ha is a faculty member at the School of Physical & Mathematical Sciences, Nanyang Technological University (NTU), Singapore. His research focuses on advanced mathematical methods for solving complex partial differential equations with applications in multiscale modeling and uncertainty quantification. His educational background includes: Undergraduate studies at the University of Wollongong, Australia (1993-1996) Ph.D. at the University of Cambridge, UK (1996-1999) Junior Research Fellow at Gonville and Caius College, Cambridge (1999-2004) Fellow at Emmanuel College, Cambridge (2004-2008) Professor Hoang's research spans Homogenization and Multiscale problems , Numerical analysis , Inverse Problems , Stochastic partial differential equations , and Free boundary value problems . His work develops computational frameworks for high-dimensional approximation, particularly through finite element methods and polynomial chaos expansions. This enables efficient solutions for stochastic PDEs in elasticity and fluid dynamics where traditional methods face the curse of dimensionality. Analysis of his 2009-2015 publications reveals a cohesive trajectory: evolving from foundational homogenization theory to cutting-edge stochastic multiscale algorithms. Key themes include sparse tensor discretizations for high-dimensional problems, Bayesian inverse frameworks for data assimilation, and rigorous analysis of convergence rates for uncertainty quantification methods. His collaborations with leading researchers (Schwab, Stuart, Xia) demonstrate strong interdisciplinary reach across applied mathematics and computational science. Information regarding scientific awards, student advising, research grants, and laboratory affiliations is not provided in the available text.
Dr. Yuliya Volodymyrivna Tanasyuk is an Associate Professor at the Department of Computer Systems and Networks, Chernivtsi National University named after Yu. Fedkovych . She holds a Candidate of Physical and Mathematical Sciences degree (2003) and has been an active researcher and educator in computer science and physics domains. Academic Rank: Associate Professor Email: y.tanasyuk@chnu.edu.ua Her research spans multiple disciplines: Cryptography Cellular Automata Internet of Things (IoT) Software Engineering Network Technologies Project Management Notable trends in her publications include: Applications of cellular automata in cryptographic hash functions (2017–2021) Advancements in CdTe semiconductor materials (2003–2007) Interdisciplinary work bridging physics and computer science Scientific recognition includes: Multiple Cisco certifications (CCNA Security, DevNet Associate) 2023 UGEN Uni-Biz Bridge award for teaching flexibility British Council Academic Teaching Excellence (2016) International conference presentations at E-MRS and ISCP As an academic advisor, she has supervised numerous student research projects including: TensorFlow-based pattern recognition Traffic sign tracking systems Blockchain interaction frameworks University event planning software Smart parking detection systems Her work often intersects hardware-software integration and security protocols, with educational contributions through methodological guides in C++ programming and network technologies.
Richard H. Crawford is a Professor of Mechanical Engineering at The University of Texas at Austin, holding the Earl N. & Margaret Brasfield Endowed Faculty Fellowship and serving as Director of the Design Projects Program. His educational background includes a BSME from Louisiana State University (1982), and MSME (1985) and Ph.D. (1989) from Purdue University. Dr. Crawford's research spans computer-aided mechanical design, design theory, and engineering education, with four primary focus areas: (1) computer representations for conceptual design and design retrieval; (2) geometric modeling for engineering design and manufacturing; (3) additive manufacturing including design tools and applications; and (4) pre-college engineering education. His industrial collaborations include faculty internships at Ford Motor Company, IBM, and Sandia National Laboratory. His recent publications demonstrate consistent emphasis on design optimization, metamodeling (particularly NURBS-based approaches), additive manufacturing applications, and biomedical engineering solutions for prosthetics and orthotics, reflecting integration of computational methods with practical engineering challenges. Dr. Crawford has received significant recognition: 1995 Fred Merryfield Design Award from the American Society for Engineering Education 2010 Ralph Coates Roe Award for exemplary Mechanical Engineering education 2011 University of Texas System Regents’ Outstanding Teaching Award He co-founded the Design Technology and Engineering for All Children (DTEACh) program providing K-12 teacher training, and partnered with UTeach to develop the "Engineer Your World" high school curriculum adopted by over 200 school districts, featuring a dual-credit option through UT System institutions.
Tianbao Gu is a postdoctoral researcher at Aalborg University's Faculty of Engineering and Science, affiliated with the Thermal Engineering department. His work focuses on energy thermochemical conversion, computational fluid dynamics (CFD), and kinetic modeling of biomass and waste utilization. He contributes to UN Sustainable Development Goals through advancements in green ammonia production and hydrogen storage. External Position: Visiting Postdoc at Eindhoven University of Technology (2023–2024) Collaboration: Chalmers University of Technology (2020–2021) Research Interests Gu's research addresses bioenergy systems, hydrogen storage via ammonia synthesis, and waste-to-energy conversion using advanced modeling techniques. His expertise spans municipal solid waste incineration, biomass pyrolysis, and catalytic reaction optimization. Recent Publications His recent work includes CFD modeling of ammonia synthesis, parametric studies of evaporative coolers, and co-simulation frameworks for power-to-X systems, emphasizing experimental validation and process optimization. Projects HySTrAm (2022–2025): Hydrogen storage and transport using ammonia Advanced modeling of biomass/waste pyrolysis and combustion (2018–2021)
Matthew White is an Associate Professor in the Department of Physics at the University of Vermont, affiliated with the College of Engineering and Mathematical Sciences. He earned his Ph.D. from the University of Colorado, Boulder in 2009. His research focuses on nonlinear processes in optoelectronic devices and materials physics for low-cost, high-performance photovoltaics, particularly hybrid and organic photovoltaic device physics. Key research areas include perovskite solar cells, organic light-emitting diodes (OLEDs), photonic crystals, and nanomaterials synthesis. His work integrates experimental techniques with theoretical modeling to optimize device performance and stability. Recent studies explore ligand design for perovskite nanocrystals, defect engineering in photonic crystals, and microcavity effects in OLEDs. Publications highlight advancements in optoelectronic materials, including nonlinear impedance spectroscopy for ion migration analysis and band structure control in photonic systems. His research emphasizes practical applications in renewable energy and high-efficiency light-emitting technologies. No scientific awards or grants are explicitly mentioned in the provided information. He advises no listed students and has not disclosed lab affiliations beyond the UVM Device Physics group.
Bing Tie is a researcher at the Paris-Saclay Mechanics Laboratory within the University of Paris-Saclay, focusing on computational mechanics and numerical modeling. Their work bridges theoretical and applied mechanics, with a strong emphasis on wave propagation in composite materials and 3D-printed structures. Key research areas: Mechanics, Numerical Methods, Crack Propagation, 3D Printing, Elastic Wave Dynamics Their recent publications highlight applications of discontinuous Galerkin finite element methods to simulate acoustic/elastic wave coupling, ultrasonic imaging of synthetic tissues, and shock wave propagation in aerospace components. These studies often integrate high-fidelity numerical models for 3D-printed materials and structural components. Notable collaborations include work with Denis Aubry, Andrea Barbarulo, and Hossein Kamalinia. The research spans biomedical imaging , aerospace structural analysis , and material failure dynamics , with applications in synthetic organ printing and spacecraft vibration analysis.
Hans Rinderknecht serves as an Assistant Professor in the Physics and Astronomy Department at the University of Rochester and leads research at the Laboratory for Laser Energetics (LLE). Appointed as the founding group leader of the Relativistic Laser-Plasma Experiments group in 2020, he directs cutting-edge investigations into high-energy-density physics and fusion energy science. AB in Physics with honors, Princeton University (2008) PhD in Physics, Massachusetts Institute of Technology (2015) His research centers on experimental plasma physics with emphases on relativistic laser-plasma interactions, kinetic effects in fusion plasmas, and high-energy-density matter. Key initiatives include studies of relativistic transparency, magnetic filament electron acceleration, mega-Tesla fields, collisionless shocks, and secondary radiation sources like gamma flashes and THz pulses. His diagnostic development work spans charged particle imaging, ion-wave Thomson scattering, and high-repetition-rate systems for laser-driven experiments. Recent publications (2024-2025) reveal a strong focus on quantum electrodynamics in extreme laser fields, terahertz radiation generation from microchannel targets, inertial confinement fusion diagnostics, and laser wakefield acceleration techniques. His work leverages major facilities including OMEGA, OMEGA-EP, National Ignition Facility, and LaserNetUS platforms to advance fusion energy science and fundamental plasma physics. LLNL Deputy Director of Science and Technology Award (2021) NNSA Office of Defense Programs Award (2021) IOP Trusted Reviewer (2021) Dr. Rinderknecht's research program is funded through the DOE Office of Fusion Energy Science INFUSE program and the NSF/DOE Partnership in Basic Plasma Science and Engineering. He directs experimental campaigns on OMEGA, OMEGA-EP, and MTW-OPAL laser systems while mentoring junior researchers in plasma diagnostics and fusion technology development. His group maintains active collaborations with Lawrence Livermore National Laboratory and TAE Technologies. The Relativistic Laser-Plasma Experiments group operates dedicated target areas for relativistic interactions at LLE, including the Multi-Terawatt Optical Parametric Amplifier Line system. Current efforts focus on strong-field QED validation, dephasingless laser wakefield acceleration, and advanced THz source development using microchannel targets, with recent shot allocations at the Texas Petawatt Laser through LaserNetUS.
Dr. Deborah Do Rosario Benros is a Senior Lecturer and Cluster Lead in Architecture at the University of East London. She specializes in computational design methodologies, robotic manufacturing, and sustainable micro-housing solutions. Her research bridges architectural theory with digital fabrication technologies, focusing on generative design systems and mass customization. Research interests span generative multilingual shape grammars, 3D printing applications in large-scale construction, and AI-assisted co-design processes. Her work emphasizes sustainable housing innovation through parametric modeling and robotic construction techniques. Recent publications demonstrate consistent focus on AI-driven design collaboration, robotic fabrication efficiency, and sustainable modular systems. Trends include increased integration of machine learning with architectural prototyping and human-AI co-creation frameworks. As Cluster Lead, she oversees research initiatives in Architecture, Computing & Engineering, fostering cross-disciplinary innovation in digital manufacturing.
