Kevin Myles is a Professor in the Department of Entomology at Texas A&M University's College of Agriculture & Life Sciences. His research investigates mosquito antiviral immunity and genetic control strategies for arbovirus vectors. With a Ph.D. in Microbiology from Colorado State University, his work integrates molecular virology, genomics, and bioinformatics to develop novel vector control methods. Research focuses on RNA interference pathways in mosquito defense, CRISPR-based gene drives for population control, and temperature effects on vector competence. Current projects engineer self-eliminating transgenes and characterize tissue-specific antiviral responses. Analysis of 15 publications reveals emphasis on genetic control technologies (53% of articles), mosquito immunity (27%), and climate-vector interactions (13%). Recent work increasingly addresses safety mechanisms for field applications. Leads development of computational tools like MGDrivE for simulating gene drive efficacy. Research has produced multiple genetic systems for precise modification of mosquito populations, with applications in dengue, Zika, and chikungunya control.
Dr. Ricardo Grau-Crespo is an Associate Professor of Materials Theory and Lead of the Chemical Sciences Research Division at the University of Reading. He is affiliated with the School of Chemistry, Food, and Pharmacy within the Department of Chemistry, focusing on computational materials science for clean energy applications. His research explores molecular-level simulations to investigate materials for energy storage and environmental technologies. Key projects include studies on spinel ferrites, thermal conductivity in pyrochlores, and nanofluids for thermal energy systems. He leads the GCMT Group (https://gcmt-group.github.io/) and is active in advancing computational methods for materials discovery, including machine learning applications. His work bridges theory and experiment, with notable contributions to photocatalysis, thermoelectrics, and interfacial phenomena in nanomaterials. Research Themes: Environment, Energy Materials, and Computational Materials Science. Collaborations include experimental partners for validation of computational models. Active in high-throughput screening and AI-driven material design, emphasizing sustainability and energy efficiency.
Robert MacKay is a Professor of Mathematics and Director of Mathematical Interdisciplinary Research at the University of Warwick. His work bridges pure and applied mathematics, focusing on dynamical systems, mathematical physics, and complexity science with applications to economics, engineering, and fusion energy. He leads the Warwick team in the Simons collaboration on Hidden Symmetry and Fusion Energy, addressing challenges in stellarator design. He teaches advanced courses like MA4H0 Applied Dynamical Systems and TCC Thermal Economics, the latter pioneering a thermodynamic approach to macroeconomics. His research interests include nonlinear dynamics, bifurcation theory, and applications to physics (e.g., plasma confinement), biology, and finance. Collaborations include work on magnetohydrodynamic equilibria and single-particle motion in non-axisymmetric magnetic fields. He has secured grants from EPSRC, Royal Society, and the Simons Foundation, supporting interdisciplinary projects such as the Mathematics of Complexity Science and Systems Biology (2009–2011). MacKay holds prestigious awards including Fellowships from the Royal Society (FRS), Institute of Physics (FInstP), and Institute of Mathematics and its Applications (FIMA). His recent work explores thermal macroeconomics, financial market dynamics, and geometric approaches to plasma confinement. He advises PhD students and postdocs in nonlinear dynamics and PDE theory, fostering the next generation of complexity scientists.
Robert V. Kohn is the Silver Professor of Mathematics at New York University, affiliated with the Courant Institute of Mathematical Sciences (CIMS). He holds academic positions within the Department of Mathematics at the College of Arts & Science and the Graduate School of Arts & Science. His research focuses on nonlinear partial differential equations (PDEs), calculus of variations, and their applications to materials science, thin elastic sheets, and machine learning. Education: Ph.D. in Mathematics from Princeton University (1979), M.Sc. from the University of Warwick (1975), and A.B. from Harvard University (1974). Research interests span elastic energy-driven pattern formation (e.g., wrinkling, folding), PDEs in machine learning (e.g., prediction with expert advice), and continuum mechanics. Recent work includes variational analysis of thin film mechanics and PDE-based approaches for binary sequence prediction. His articles explore topics ranging from metamaterials to stochastic growth models. Notable themes in his publications include energy minimization in materials, optimal control analogies in learning algorithms, and mathematical modeling of physical phenomena. While no formal awards are listed, his contributions to PDE theory and applied mathematics are widely recognized. Advising and grants details are not explicitly documented here.
Ayşe Başar is a Professor in the Department of Mechanical, Industrial, and Mechatronics Engineering at Toronto Metropolitan University. She serves as Director of the Data Science Lab and Program Director of the Data Science Masters Program. Her research integrates machine learning and Bayesian methods to build predictive models and recommender systems, with applications in software engineering and healthcare. BSc, Boğaziçi University MASc, University of Alabama in Huntsville PhD, London School of Economics Her research focuses on advancing machine learning through Bayesian inference, deep reinforcement learning, and explainability. She develops models that simulate expert decision-making, particularly in complex environments like emergency rooms and software development. Her work emphasizes uncertainty quantification , social learning in networks , and evidence-based decision support systems . The selected publications reflect a strong trend in applying machine learning to real-world problems—particularly in software engineering defect prediction, healthcare team dynamics, and social network analysis. Her work consistently uses probabilistic modeling and ensemble methods to improve prediction accuracy and interpretability. Paper among top 3 most cited in Empirical Software Engineering Journal (2009–2014) Best Paper Award, AAAI (2010) Best Paper Award, IFIP/IEEE IM Symposium (2019) Best Paper Award, ESEM (2013) Dr. Başar actively supervises students and leads impactful research collaborations with institutions like St. Michael’s Hospital and IBM. She has held leadership roles including Director of Big Data for the Provost’s Office and Program Director for Data Analytics Certificates. She is an affiliated scientist at St. Michael’s Hospital and a research fellow at IBM CAS. She leads the Data Science Lab , which focuses on developing advanced machine learning models for complex decision-making. The lab works on projects involving large-scale data integration, predictive analytics, and human-in-the-loop AI systems.
Professor Zuheir Barsoum is a faculty member at KTH Royal Institute of Technology, serving as Vice Head (Research) in the Department of Engineering Mechanics. His research focuses on computational weld mechanics, fatigue assessment of materials, and structural integrity of welded joints. Key areas include high-frequency mechanical impact (HFMI) treatments for fatigue improvement, finite element analysis, and lightweight metal joining. Funded by VINNOVA, SSAB, Volvo, and others, his work addresses industrial challenges in structural durability. Current PhD students include Martin Edgren (bridge structural health monitoring), Mehdi Ghanadi (fatigue of high-strength steels), Yu Zhu (laser cladding simulations), and Kaushik Iyer (LCC modeling of welded structures). He teaches courses like Advanced Design of Welded Structures (SD2420) and oversees degree projects in Lightweight and Solid Mechanics. Notable achievements include the 2010 Henry Granjon Prize for fatigue design research. His startup Winteria AB commercializes digital quality assurance solutions for welding production, aligning with Industry 4.0 trends. Recent research emphasizes probabilistic fatigue modeling, machine learning for weld geometry analysis, and material defect characterization. Collaborations include Chalmers University and Swerim. His work bridges advanced manufacturing, computational mechanics, and industrial applications to enhance structural reliability and lifecycle cost optimization.
Professor Peter Whelan is a Professor of Law at the University of Leeds, School of Law, within the Faculty of Social Sciences. His expertise spans Competition Law and Criminal Law, with a focus on antitrust enforcement, cartel criminalization, and EU legal frameworks. He holds a PhD from the University of Cambridge and has authored leading monographs like *The Criminalization of European Cartel Enforcement* (Oxford UP) and *Parental Liability in EU Competition Law* (Oxford UP). His research has influenced global antitrust policies, cited in over 400 publications and court rulings in Europe, Africa, and South America. Awards include the Reddy Charlton McKnight Prize and multiple Antitrust Writing Award nominations. He advises international bodies like the UNCTAD and the International Competition Network, and serves on editorial boards of *Journal of Antitrust Enforcement* and *World Competition*. Whelan has held roles such as Director of the Centre for Business Law and Practice (2020–2023) and Deputy Director of the Centre for Criminal Justice Studies (2013–2019). He actively engages in policy advocacy, submitting evidence to New Zealand and Indian parliamentary committees, and trains judges and regulators globally. His current research explores debarment as an antitrust enforcement tool. He has supervised nine PhD students to completion, including Evelyse Carvalho Ribas (Tax Law) and Colin Gregory (Criminal Law). His work spans grants from the European Commission, World Economic Forum, and UK Research Councils, addressing topics like EU antitrust remedies and social rights under internal market law.
Yongmei M. Jin is a Professor in the Department of Materials Science and Engineering at Michigan Technological University (MTU), affiliated with the College of Engineering. She holds a PhD in Materials Science and Engineering from Rutgers University. Her research focuses on microstructure evolution in crystalline solids, solid-state phase transformations, magnetic domains, computational materials science, and single crystal diffraction techniques. Notable work includes studies on magnetic domain boundary dynamics in Fe-Ga alloys, electric field control of magnetism at material interfaces, and phase field modeling of microstructural evolution. Selected publications demonstrate expertise in modeling material behavior under external stimuli (e.g., electric fields, currents) and analyzing microstructural changes at atomic and macroscopic scales. Teaching responsibilities include courses on materials processing, mechanical behavior of materials, and transmission electron microscopy.
Wenbo Duan is a Senior Lecturer and MSc Programme Leader in Mechanical Engineering at the University of Hertfordshire. He holds a PhD from the University of Manchester (2010) and previously served at Brunel University London as a Research Fellow, Senior Research Fellow, and Technical Advisor. His research focuses on advanced non-destructive testing techniques, including ultrasonic and guided wave methods, finite/spectral element modeling, and acoustic communication in industrial pipelines. He specializes in numerical simulations of wave propagation in complex media, defect detection, and signal processing innovations. Education: PhD in Mechanical Engineering, University of Manchester (2010) MSc in Engineering BSc (Distinguished) in Engineering Research Interests: Ultrasonic Non-Destructive Testing (NDT) Guided Wave Defect Detection Piezoelectric-Structure Coupling Acoustic Communication in Pipes Multiphysics Spectral Element Modeling Fluid-Structure Interaction Analysis Key Projects (2021–2025): "Noise Cancelling for Powered Air Purifying Respirators" (PI) "Guided Wave Inspection in Fluid-Filled Wells" (PI) "Assessing the Impact of Strain on Temperature Readings" (Co-Investigator) Advisees & Grants: No specific advisees listed. Active in securing research funding for NDT and acoustics-related projects. Labs & Teams: Involved in the Centre for Engineering Research at the University of Hertfordshire, focusing on computational mechanics and industrial applications.
Paul Evans is a Professor in the Department of Materials Science & Engineering at the University of Wisconsin-Madison, College of Engineering. His research focuses on nanoscale materials synthesis, ultrafast dynamics, and advanced X-ray characterization techniques. PhD, Harvard University (2000) MS, Harvard University (1996) BS, Cornell University (1994) Evans investigates solid-phase epitaxy of complex oxides, strain imaging in acoustic devices, and optically driven phase transitions. His work combines experimental and computational approaches, including deep learning for diffraction data analysis. His recent publications highlight breakthroughs in nanoscale crystallization, ultrafast magnetization dynamics, and hybrid magnon-phonon systems. Awards include the Bascom Professorship and Vilas Mid-Career Award. Surface Science and Technology Bascom Professorship (2022) Vilas Associate Award (2019) Polygon Engineering Outstanding Instructor Award (2006) Evans teaches courses in materials structure, advanced X-ray methods, and thesis research. His lab enables scalable synthesis of perovskites and defect-minimized oxide heterostructures.
Dr. Stephanie Panier serves as a Max Planck Research Group Leader at the Max Planck Institute for Biology of Ageing in Cologne, Germany, and as a Principal Investigator at the Institute for Genome Stability in Aging and Disease within the Medical Faculty of the University of Cologne. Her research program investigates the fundamental mechanisms by which cells maintain genome stability through sophisticated DNA damage response pathways. Her academic journey includes: PhD in Molecular Genetics from the University of Toronto (2008-2013) under Prof. Daniel Durocher Postdoctoral training at the Francis Crick Institute in London (2013-2019) with Prof. Simon Boulton Undergraduate studies in Biology at Ruprecht-Karls-Universität Heidelberg, Germany (2001-2006) Dr. Panier's laboratory focuses on two central questions in genome stability research: how DNA damage response pathways interact with telomere maintenance mechanisms, and how RNAs and RNA-binding proteins organize chromatin-based responses to DNA lesions. Her team employs cutting-edge cell biological and omics approaches to identify and characterize RNA-binding proteins at DNA damage sites, mapping their chromatin dynamics and interactions following genotoxic stress. This research has significant implications for understanding aging-associated diseases driven by genomic instability, including cancer and neurodegeneration. Analysis of her publication record reveals consistent contributions to understanding DNA repair mechanisms, with recent work expanding into cancer biology, telomere maintenance in alternative lengthening pathways, and the emerging role of RNA metabolism in genome stability. Her scientific achievements have been recognized through: Vivash Award for best PhD thesis (2013) FEBS Excellence Award (2023) EMBO Long-Term Fellowship (2013-2014) Vanier Canada Graduate Scholarship (2010-2013) Boehringer Ingelheim Fonds PhD Fellowship (2008-2010) EIRR21st Fellowship (2023) Dr. Panier actively contributes to the scientific community through leadership roles including Vice Coordinator of the DFG Research Unit FOR5504 (2023-2026), membership on the advisory board of the German Society for Research on DNA Repair since 2022, and representation on the Biology and Medicine Section of the Max Planck Society's scientific council since 2022. She also serves as a Principal Investigator in the Cologne Excellence Cluster 'Cellular Stress Responses in Aging-Associated Diseases' (CECAD). Her laboratory comprises postdoctoral researchers and PhD students working collaboratively to advance our understanding of genome stability mechanisms in aging, with current projects focusing on RNA-binding proteins in DNA damage response and telomere maintenance pathways.
Dr. Venkatraman Gopalan is a Professor in the Department of Materials Science and Engineering at Pennsylvania State University, within the College of Earth and Mineral Sciences. His research spans the interdisciplinary domains of materials science, physics, and optical engineering, with a primary focus on nonlinear optical materials. He is actively involved in pioneering work on complex oxides, semiconductor fibers, metalattices, and symmetry-driven material phenomena. His research interests include ferroelectric materials, domain wall physics, second harmonic generation, electro-optics, and van der Waals semiconductors. These areas are central to advancements in multiferroics, optical communications, infrared applications, and all-fiber optoelectronics. The recurring themes in his recent publications highlight a strong emphasis on polarization engineering, symmetry analysis, and the discovery of novel functional materials with tailored optical and magnetic properties. The trend across his recent articles (2025) shows a consistent focus on probing fundamental material behaviors—such as proximity ferroelectricity, non-equilibrium phase formation, and magnetoelectric coupling—using both experimental and theoretical approaches. These works appear in premier journals like Nature , Science Advances , Physical Review X , and Journal of the American Chemical Society , reflecting high impact and interdisciplinary collaboration. His scientific contributions are recognized through active research output and affiliations with major research initiatives, including the Integrated Energy Systems theme at Penn State. Though specific awards are not listed, the caliber of his publications suggests significant recognition within the scientific community. Dr. Gopalan is engaged in collaborative research, frequently co-authoring with leading experts in materials theory, thin film growth, and characterization. While student advising is not explicitly mentioned, his leadership in large, multi-investigator projects implies mentorship roles. His work is supported by institutional and likely federal funding, given the scale and scope of the research. He is associated with advanced materials laboratories at the Millennium Science Complex, where synthesis, characterization, and theoretical modeling converge to explore next-generation functional materials.
Christoph Jungemann is a Professor at RWTH Aachen University in the Faculty of Electrical Engineering and Information Technology, where he serves as Vice Dean and heads the Institute for Theoretical Electrical Engineering. He obtained his diploma and doctorate in electrical engineering from RWTH Aachen and completed habilitations at the University of Bremen and TU Braunschweig. His career includes academic positions at Fujitsu in Japan, the University of Bremen, Stanford University, TU Braunschweig, and the University of the Federal Armed Forces in Munich. His research focuses on semiconductor device modeling, particularly using the Boltzmann transport equation, noise simulation, SiGe HBTs, THz devices, ReRAM, and cryogenic electronics. He employs deterministic and Monte Carlo methods for advanced TCAD applications. His recent work explores high-harmonic generation in doped silicon, plasma waves, and compact modeling of III-V devices. His publication trend shows sustained leadership in computational electronics, with emphasis on numerical stability, multi-scale modeling, and emerging device technologies for quantum and high-frequency applications. IEEE Paul Rappaport Award (2006) IEEE Fellow (2019) RWTH Teaching Award (2017) He has advised numerous researchers and co-authored extensively with colleagues in device physics and modeling. He has led major projects such as DOTSEVEN and edited special issues on next-generation TCAD. He has also served as co-editor of IEEE Transactions on Electron Devices and contributed to accreditation in engineering education through ASIIN. He leads a research group focused on theoretical electrical engineering, advancing simulation methodologies for next-generation semiconductor devices.
Jérôme Creuze is a Professor of Chemistry at Université Paris-Saclay, affiliated with the Institute of Molecular Chemistry and Materials of Orsay (ICMMO - UMR 8182) under the SP2M unit. He co-leads the Synthesis, Properties and Modeling of Materials team, focusing on thermodynamics of metallic nanoalloys , environmental effects on alloy surfaces , and metal-on-metal heteroepitaxy using atomic-scale simulations. Research Themes : Nanoalloys Thermodynamics, Surface Segregation, Heteroepitaxy, Ab Initio Modeling, Defects and Diffusion in Solids Recent Publications : 15+ studies on nanoalloy surface energy, dislocation loops, Vegard’s rule deviations, and environmental impacts on alloys. Collaborations : Partners include teams from ONERA (Châtillon), CEA Saclay, IWD-SINAP (Shanghai), and universities in Marseille, Montpellier, and Paris. Teaching : Coordinates CPGE L'Essouriau chemistry program and leads courses on thermodynamics, defects, and diffusion in crystalline solids at Master's level.
H. Peter Lu is the Ohio Eminent Scholar and Professor in the Department of Chemistry at Bowling Green State University's College of Arts and Sciences. His research focuses on Single-molecule spectroscopy Protein conformational dynamics Interfacial electron transfer processes DNA damage recognition mechanisms Lu's work bridges chemical physics and molecular biology through Development of AFM-enhanced optical imaging techniques Investigations into mechanical force effects on biomolecules Studies of ion channel conformational changes Elucidation of non-Markovian enzymatic reaction dynamics His recent publications reveal trends in Mechanically-induced protein aggregation Force-sensitive receptor dynamics Metal ion effects on protein misfolding Biophysics of DNA repair proteins Advanced single-molecule manipulation tools Scientific recognition includes 2019-2020 BGSU Teaching Award 2014 American Physical Society Fellowship 2009 Olscamp Research Award Multiple PNNL Outstanding Performance Awards 2008 Nobel Symposium Invitations Lu's research group trains students in Single-molecule experimental techniques Protein interaction dynamics Advanced biophysical instrumentation Mechanobiology of cellular processes while maintaining collaborations across disciplines including materials science and computational biology.
