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Ramoni Ojekunle AdeogunView profile

Associate Professor

• Wireless Communication Networks
• Artificial Intelligence for Communication
• 6G Network Development
• +4 more

Ramoni Ojekunle Adeogun is an Associate Professor at the Department of Electronic Systems, The Technical Faculty of IT and Design, Aalborg University. His research focuses on 6G wireless networks, AI-driven communication systems, and industrial automation, with expertise in channel modeling, propagation graph analysis, and IoT-based monitoring. Role: Project Leader for AI-Native User-Centric Air Interface for 6G (2023–2025) Collaborations: With G. Berardinelli, P. Mogensen, I. Rodriguez Research Highlights Advancing sub-millisecond latency in 6G networks Machine learning for IoT occupancy detection Polarimetric channel modeling via propagation graphs Dynamic channel allocation for industrial automation Publications Trends Over 85 publications spanning 2013–2025, with recent work on AI-native air interfaces, polarimetric channel modeling, and ultra-reliable low-latency communication for 6G. His studies integrate machine learning, stochastic modeling, and wireless propagation analysis. Grants & Projects Managing the EUR 6.8 million CENTRIC project (2025), focusing on AI-driven wireless innovation. Previously led interference prediction research (2019–2022) and contributed to IoT-based occupancy detection (2019).

• Earthquake Physics
• Tectonics
• Seismology
• +5 more

Dr. Ylona van Dinther is an Associate Professor in Earthquake Physics and Tectonics at the Faculty of Geosciences , Utrecht University . Before joining Utrecht in 2018, she spent a decade at ETH Zurich as a researcher and lecturer. Her work bridges tectonic and earthquake time scales, focusing on numerical simulations and data assimilation techniques. Expertise: Earthquakes, Plate Tectonics, Subduction Zones, Data Assimilation, Geodynamics, Seismology Skills: Computational Modeling, Data Science, Fieldwork (Earth Sciences) Research Interests include cross-scale modeling of earthquake cycles, fault mechanics, tsunami generation, and ensemble data assimilation for stress forecasting. She leads the Earth Simulation Lab , integrating geological and geophysical observations with numerical models. Recent Publications emphasize community code comparisons, fluid-induced aseismic slip, stochastic stress heterogeneity in nucleation, and Bayesian inference for subduction dynamics. Her 2025 work explores global tsunami-subduction correlations, while 2024-2023 studies focus on geodynamic parameter estimation and phase-field modeling. Scientific Awards: 2018 Jason Morgan Early Career Award (American Geophysical Union) Royal Netherlands Academy of Arts and Sciences (KNAW) Early Career Award Current Projects involve applying data assimilation from weather forecasting to earthquake hazard assessment and collaborating on DeepNL laboratory experiments. She supervises PhD students and contributes to Applied Data Science initiatives under Pathways to Sustainability (PtS) .

MEHMET EREN GÜLŞANView profile

Associate Professor

• Structural Mechanics
• Reinforced Concrete Structures
• Geopolymer Concrete
• +5 more

MEHMET EREN GÜLŞAN is an Associate Professor at Gaziantep University's Faculty of Engineering, Department of Civil Engineering. He has been with the university since 2010, progressing from Research Assistant to Doctor Lecturer (2016-2020) and currently serving as Associate Professor since 2020. His academic journey includes an Integrated Doctorate in Civil Engineering (2010-2015), a Licence in Mechanical Engineering (2007-2010), and a Licence in Civil Engineering (2004-2009), all from Gaziantep University. Dr. Gülşan's research focuses on structural mechanics with specialization in reinforced concrete structures, geopolymer concrete, fiber-reinforced polymers, and structural reliability. His work examines the behavior of various concrete types under different environmental conditions, including chemical exposure, elevated temperatures, and seismic loading. He has made significant contributions to understanding the mechanical properties, durability characteristics, and structural performance of advanced concrete systems, particularly those incorporating alternative binders like geopolymer and reinforcement technologies like FRP. His recent publications (2021-2025) demonstrate a strong focus on cutting-edge concrete technologies, with particular emphasis on geopolymer concrete systems, FRP reinforcement applications, and structural rehabilitation techniques. The research spans experimental investigations, finite element modeling, and reliability analyses across various structural elements including slabs, beams, corbels, and shear walls. His work shows a consistent pattern of addressing both fundamental material behavior questions and practical engineering applications, often with consideration for sustainability through the use of alternative materials. Dr. Gülşan has supervised 6 doctoral theses and 17 master's theses, mentoring students working on topics related to concrete technology, structural rehabilitation, and advanced material applications. He has been involved in 4 research projects, including one currently ongoing until 2025 titled 'NUMERICAL INVESTIGATION OF THE EFFECT OF DURABILITY PROPERTIES ON THE MECHANICAL BEHAVIOR OF REINFORCED CONCRETE STRUCTURAL ELEMENTS.' His professional activities include membership in the Chamber of Civil Engineers since 2009 and contributions to post-earthquake assessment following the 2023 Kahramanmaraş earthquakes. As an educator, Dr. Gülşan teaches courses including Structural Mechanics, Dynamics, Structural Reliability, and Special Topics at both undergraduate and graduate levels, primarily in English. His teaching spans multiple academic periods from 2016 to the present, demonstrating his commitment to engineering education.

Mykhailo Petrovych GorskyView profile

Assistant Professor

• Computer Modeling
• Physical Phenomena
• Parallel Computing
• +5 more

Mykhailo Petrovych Gorsky serves as Assistant Professor in the Department of Computer Science at Yuriy Fedkovych Chernivtsi National University, specializing in computational modeling of physical systems and high-performance computing. He holds a Candidate of Physical and Mathematical Sciences degree (2012) and Associate Professor certification (2017). His educational credentials include: Bioengineer from Yuriy Fedkovych Chernivtsi National University (2002) Candidate of Physical and Mathematical Sciences in Optics and Laser Physics (2012) Professional development certificates in cloud services and distributed systems from Ternopil National Technical University (2021) Gorsky's research centers on computer modeling of physical phenomena with emphasis on parallel, distributed, and cloud computing applications. His work bridges optical physics, digital image processing, and material science, developing algorithms for 3D polarization mapping, polycrystalline structure reconstruction, and statistical analysis of microscopic images. Key application areas include printing industry quality control and biomedical diagnostics. Analysis of his 2022-2024 publications reveals a strong trend toward cloud-based optical computation (particularly AWS infrastructure), interdisciplinary biomedical tomography, and industrial applications of polarization mapping. His work consistently integrates computer science with optics and material science, demonstrating technical depth in both algorithm development and practical implementation. Professionally, Gorsky serves as Team Lead at OSF GLOBAL UKRAINE and participates in the Chernivtsi IT Cluster 'Cluster Bit' since 2020. He has authored multiple textbooks on distributed systems and cloud computing, including 'Technologies of Distributed Systems and Parallel Computing' (2022) and 'Applied Programming: From Theory to Practice' (2021).

Ivashko Viktor ViktorovychView profile

Assistant Professor

• Computational Physics
• Solid State Physics
• Statistical Mechanics
• +3 more

Ivashko Viktor Viktorovych serves as an Assistant Professor at Yuriy Fedkovych Chernivtsi National University, where he teaches Probability Theory, Operating Systems, and Numerical Methods courses. Holding a Candidate of Physical and Mathematical Sciences degree, he actively contributes to computational physics research with a focus on nanoscale systems and stochastic modeling. His academic foundation includes: 2014: Master of Telecommunications from Yuriy Fedkovych Chernivtsi National University with honors (Diploma PH No. 47227317) 2018: Candidate of Physical and Mathematical Sciences (specialty 01.04.07 – Solid State Physics) for dissertation 'Features of Transition Phenomena between Low- and High-Spin States of Spin-Crossover Compounds' (DK No. 046497) Dr. Ivashko's research centers on computational modeling of physical systems using Monte Carlo methods, particularly investigating spin-crossover compounds and nanomaterials. His work bridges solid-state physics and statistical mechanics, with significant applications in molecular electronics and nanodevice development. Recent publications reveal consistent focus on impurity effects in nanoparticles, magnetic properties of carbon-based systems, and pressure-induced electronic bistability in coordination polymers, demonstrating methodological expertise in simulating nanoscale phase transitions. His scientific recognition includes: Gratitude for significant scientific achievements (2016-2017) Through scientific consulting for MPP 'PROM.SOFT' and authorship of 12+ textbooks/monographs, he actively shapes academic curricula. Professional development includes Sigma Software's Teachers’ Smart Up programs (2023-2024), Softserve's Tech Summer Bootcamp, and Coursera specializations in Python and web development. He maintains active engagement with professional communities as a member of the Ukrainian Society of Non-Destructive Testing and Technical Diagnostics, the European Optical Society, and the Bukovina Cluster of Innovative Technologies (Chernivtsi IT Cluster) since 2021, fostering interdisciplinary collaboration in regional tech innovation.

• Robotics
• Prosthetics Engineering
• Control Systems
• +4 more

Donald Ebeigbe is an Assistant Professor in the Department of Electrical Engineering at Cleveland State University. His research spans interdisciplinary domains including robotics, prosthetics, infectious disease dynamics, and control systems. He has made significant contributions to nonlinear filtering, robust control, and mathematical modeling of epidemics with behavioral feedback. Academic Rank: Assistant Professor Department: Electrical Engineering University: Cleveland State University His work integrates robotics with biomedical applications , focusing on adaptive control techniques for prosthetic limbs and drones. In epidemiology, he investigates parameter identifiability and equilibrium stability in disease models. Recent publications highlight his expertise in Kalman filtering and non-Gaussian forecasting . Research trends include: Generalized unscented transformation for non-Gaussian processes (2025) Behavioral feedback in infectious disease dynamics (2025) Regressor-free control algorithms (2024) Manifold-based identifiability analysis in epidemics (2022) Key collaborations include research with scholars at institutions like IEEE and SIAM journals, with applications in both biomedical engineering and public health.

• modeling and verification of concurrent systems
• resource-aware embedded systems
• compositional performance and dependability evaluation
• +5 more

Holger Hermanns is a Professor of Computer Science at Saarland University in Germany, where he heads the Dependable Systems and Software group. He also serves as Scientific Director of Schloss Dagstuhl - Leibniz Zentrum für Informatik. His academic journey includes previous positions at Universität Erlangen-Nürnberg, Universiteit Twente in the Netherlands, and INRIA Grenoble Rhône-Alpes in France. He has served as Dean of the Faculty of Mathematics and Computer Science at Saarland University from 2010-2012 and as Dean of Studies from 2004-2006. Holger Hermanns' research focuses on modeling and verification of concurrent systems, resource-aware embedded systems, compositional performance and dependability evaluation, and their applications to energy and space informatics. He is an outspoken proponent of proactive algorithmic accountability. His work bridges formal methods with practical applications in critical systems, particularly in the domains of cyber-physical systems and satellite networks. His recent publications reveal a strong emphasis on human oversight of AI systems, software doping detection, satellite network protocols, and explainable AI. There's a clear trend toward addressing practical challenges in dependable computing, with increasing focus on the societal implications of algorithmic decision-making and the environmental impact of computing systems. Holger Hermanns has received numerous prestigious awards and recognitions: ERC Advanced Grant POWVER ERC Proof-of-Concept Grant LEOpowver Member of Academia Europaea (elected 2013) German "Preis des Fakultätentages Informatik" award (2013) Dutch "Vernieuwingsimpuls" award (2001) ERC Advanced Grantee Co-spokesperson of the Center for Perspicuous Computing, SFB TRR 248 As Scientific Director of Schloss Dagstuhl - Leibniz Zentrum für Informatik, Hermanns plays a crucial role in fostering international collaboration in computer science research. His leadership extends to various program committees and steering committees of major conferences in formal methods and theoretical computer science, including TACAS (steering committee since 2015), LICS (steering committee 2020-2023), and ICALP (steering committee 2020-2022). He has served as conference chair for LICS and ICALP in 2020. His research group at Saarland University focuses on dependable systems and software, with strong connections to both theoretical foundations and practical applications.

• Groups (Mathematics)
• Additive Combinatorics
• Geometric Group Theory
• +3 more

Matthew C H Tointon is an Associate Professor in the School of Mathematics at the University of Bristol. His research focuses on the combinatorial, geometric, and probabilistic properties of groups, particularly at the interface of additive combinatorics and geometric group theory. Book: Introduction to Approximate Groups (Cambridge University Press, 2020). His publications include works on polynomial growth in groups, percolation theory, nilpotent groups, and approximate subgroups. Collaborators include Romain Tessera, Tom Hutchcroft, and others. Current PhD students under his supervision are Sarah Martin (expected 2027) and Merlin Haith Rowlatt (expected 2026). Former PhD student David Guo graduated in 2025. Notable research outputs involve Sharp bounds in discrete geometry, Scaling limits of Cayley graphs, Probabilistic analysis of infinite groups, and Structural theorems for vertex-transitive graphs. Applications span Geometric group theory , Random walks , and Isoperimetric inequalities .

Amr DodinView profile

Assistant Professor

• Chemical Reactions at Liquid Interfaces
• Biological Control of Photosynthesis
• Noisy Quantum Devices
• +9 more

Amr Dodin is an Assistant Professor in the Department of Chemistry at Ohio State University, where he leads research at the intersection of theoretical chemistry, quantum physics, and computational modeling. His work combines statistical mechanics, machine learning, and quantum dynamics to address complex problems in chemical reactivity, biological energy regulation, and quantum device design. He received his BSc and MSc in Chemical Physics and Theoretical Chemistry from the University of Toronto, followed by a PhD in Theoretical Chemistry at MIT under Adam Willard. He later pursued postdoctoral research at UC Berkeley and Lawrence Berkeley National Lab with Phillip Geissler and David Limmer. Research Focus 1: Chemical Reactions at Liquid Interfaces – developing computational tools like neural network potentials to study accelerated reactivity at electrochemical and atmospheric interfaces. Research Focus 2: Biological Control of Photosynthesis – modeling multi-scale dynamics of nonphotochemical quenching and biophysics of homeostasis. Research Focus 3: Noisy Quantum Devices – leveraging noise-induced coherences for robust quantum computing and deriving thermodynamic limits for quantum information systems. The 15 most recent publications highlight his expertise in interfacial chemistry, nonequilibrium quantum dynamics, and machine learning applications in molecular simulations. His work spans diverse areas including atmospheric aerosol reactions, photosynthetic energy regulation, and quantum thermodynamics. The Dodin group actively develops thermodynamically consistent multiscale models and machine learning-powered simulations to tackle challenges in nanoscale energy transport, quantum device stability, and environmental chemistry.

• Supply Chain Management
• Operations Management
• Sustainability
• +7 more

Dr. Ian M. Langella is a Professor of Supply Chain Management at Shippensburg University , within the John L. Grove College of Business . He has served as the chair of the Department of Finance and Supply Chain Management for over a decade (2013–2023) and is recognized for his excellence in teaching, research, and service. Education: PhD in Management (Operations Management), University of Magdeburg, Germany MA in Management (International Management & Production & Operations Management), University of Magdeburg, Germany BS in Nautical Science (minor in Physical Sciences), Maine Maritime Academy, USA Research Interests: Dr. Langella's research spans a wide range of topics in operations and supply chain management , with a strong emphasis on sustainability , disassembly-to-order systems , green logistics , and data-driven decision making . He has published extensively in peer-reviewed journals, authored two books, and is among the most cited faculty at Shippensburg University with over 1,600 citations on Google Scholar. His work also integrates social sustainability , corporate responsibility , and cross-cultural studies in business education, reflecting a holistic approach to operations and supply chain research. Scientific Awards & Honors: College of Business Teaching Award (twice) University-wide Teaching Innovation and Pedagogy Spotlight (TIPS) Award College of Business Service Award (2017) Faculty Member of the Year – SU Students Association Advising & Grants: Dr. Langella has advised numerous students and student organizations. He has led executive education projects with major companies such as Martin’s Potato Rolls , JLG , Harsco , Volvo CE , and the Letterkenny Army Depot . He also mentors students in lean six sigma and data science , leveraging his certifications from SAP , IBM , and MIT . Labs & Teams: While no specific lab is mentioned, Dr. Langella actively collaborates with industry and academic partners through executive education, consulting, and research projects. His work bridges theoretical research with practical applications in supply chain optimization and sustainability.

• Theoretical Physical Chemistry
• Computational Chemistry
• Materials Science
• +5 more

Nikolaos Lembesis is a tenured Assistant Professor in the Department of Chemistry at the University of Ioannina, specializing in Theoretical Physical Chemistry and Computational Chemistry. His research develops multi-scale computational simulation methods to understand structure-property relationships of matter for applications in energy, environment, and quality of life improvement. His educational background includes: PhD in Chemical Engineering, National Technical University of Athens (2013) BSc in Chemical Engineering, Technical University of Munich (2007) BSc and MSc in Chemical Engineering, National Technical University of Athens (2007) Dr. Lembesis's research integrates molecular dynamics, ab initio simulations, and stochastic methods to model materials at atomic-to-macroscopic scales. His group investigates perovskite solar cell interfaces, droplet absorption phenomena, and defect engineering using advanced computational techniques including classical/ab initio molecular dynamics and high-performance computing. Analysis of his 15 most recent publications (2023-2025) reveals dominant focus on perovskite photovoltaics, with recurring themes of interface engineering, strain manipulation, and defect passivation to enhance efficiency and stability. Key subfields include crystal orientation control, wide-bandgap perovskite optimization, and novel monolayer interface designs. His group offers undergraduate and master's thesis opportunities in Computational Chemistry, providing training in molecular simulation techniques, Unix/Linux systems, HPC resources, and software development for materials modeling. The research team utilizes multi-scale simulation approaches to study water-perovskite interactions, organic monolayer protection mechanisms, and thermomechanical properties of advanced materials, with strong emphasis on bridging computational predictions with experimental validation.

• social psychology
• decision science
• behavioral metrics
• +3 more

Kazuhisa Takemura is a Professor at Waseda University's School of Humanities and Social Sciences where he has served since 2003. He also directs the Waseda University Center for Decision Research (since 2007) and serves as Director of the Medical Safety Promotion Organization. His academic credentials include dual doctorates: a Ph.D. in System Science from Tokyo Institute of Technology (1994) and a Ph.D. in Medicine from Kitasato University (2013). Dr. Takemura's educational journey began at Doshisha University with undergraduate and graduate studies in Psychology, followed by interdisciplinary studies at Kyoto Institute of Technology. His research career shows a remarkable interdisciplinary trajectory spanning psychology, medicine, mathematics, and decision science. His research focuses on social psychology and behavioral decision theory, with specific interests in consumer behavior, risk perception, and decision-making processes. He employs diverse methodologies including eye-tracking experiments, mathematical modeling, and neuroeconomic approaches. Recent work examines multi-attribute decision strategies, consumer responses to energy labels, breast cancer screening behavior, and risk tolerance measurement across cultures. His research demonstrates consistent integration of theoretical frameworks with practical applications in consumer protection, medical decision-making, and public policy. Dr. Takemura's recent publication record shows remarkable productivity, with numerous articles in 2023-2025 across journals spanning psychology, mathematics, public health, and energy efficiency. His work reveals interdisciplinary connections between cognitive psychology, behavioral economics, and mathematical modeling of decision processes. He frequently collaborates with researchers across disciplines and countries, demonstrating global engagement in his field. Award for Science and Technology from MEXT (2024) for 'Reconstruction of Behavioral Decision Theory and Its Social Practical Research' Distinctive Achievement Award (Chikio Hayashi Award) from Behaviormetric Society (2022) Kimura Award from Transdisciplinary Federation of Science and Technology (2021) Fellow of the International Association of Applied Psychology (2018) Multiple Best Paper Awards across various academic societies Dr. Takemura serves as Editor in Chief of The Japanese Society of Theoretical Psychology journal and on editorial boards for Scientific Reports (Springer Nature) and The Japanese Society of Social Psychology. His leadership extends to directing research centers and participating in national and international research collaborations. His work bridges theoretical advancements in decision science with practical applications in consumer protection, medical decision-making, and public policy development. He leads the Waseda University Center for Decision Research, which functions as an interdisciplinary hub investigating human decision processes through psychological, economic, and mathematical perspectives. His research program demonstrates how theoretical insights about human decision-making can inform practical interventions in consumer protection, healthcare, and public policy.

• Software Engineering
• Human-Computer Interaction
• Artificial Intelligence
• +3 more

Jialong Li is an Assistant Professor (non-tenure-track) at the Waseda Institute for Advanced Study. His research focuses on dynamic responsibility allocation in human-software collaboration, with applications in autonomous driving, robotics, and adaptive systems. He employs techniques such as discrete controller synthesis and large language models to address runtime environmental changes. Key research themes: human-robot collaboration, self-adaptive software, autonomous systems Technical approaches: Discrete Controller Synthesis, LLM integration, reinforcement learning Recent publications emphasize multimodal human-AI collaboration, prompt engineering for software development, and ethical considerations in adaptive systems. His work bridges theoretical modeling (e.g., requirements analysis, stochastic control) with real-world applications like warehouse robotics and color-blind accessibility tools. While no formal awards are listed, his research has been presented at top conferences in software engineering and autonomous systems.

• Spintronics
• Magnetic Materials
• Nanomagnetism
• +3 more

Jian Wang serves as a Visiting Instructor at the University of Minnesota Crookston, functioning as an active on-campus faculty member with research responsibilities. His institutional affiliation centers on advancing magnetic materials science within the university's engineering or physical sciences framework, though specific departmental details remain unpublicized in available sources. His research program critically examines: Spintronic device physics including magnetic tunnel junctions and voltage-controlled exchange coupling Iron nitride synthesis for next-generation permanent magnets Biomedical applications of magnetic nanoparticles in neurostimulation and diagnostics Spin-orbit torque phenomena in novel alloy systems Ultrafast magnetization control techniques for energy-efficient computing Analysis of his 2025 publications reveals a cohesive trajectory toward ultralow-power spintronic memory/logic devices and biomedical translation. Key themes include voltage-controlled magnetic anisotropy engineering, multiplexed magnetic particle spectroscopy diagnostics, and micromagnetic neural stimulation techniques—demonstrating deliberate convergence between fundamental magnetism research and healthcare applications. No institutional awards or fellowships were documented in the source materials. Regarding academic contributions, no verifiable information exists about graduate student mentorship, externally funded research grants, laboratory infrastructure, or collaborative research teams. His scholarly output appears primarily publication-driven without indication of patent activity or industry partnerships.

Lars KastnerView profile

Researcher

• Combinatorics
• Algebraic Geometry
• Commutative Algebra
• +5 more

Lars Kastner is a postdoctoral researcher at the Institute of Mathematics of the Technical University Berlin , affiliated with the discrete geometry group led by Michael Joswig. His work focuses on computational mathematics and mathematical software development. Key research areas include: Interdisciplinary applications of Combinatorics , Algebraic Geometry , and Commutative Algebra Development of mathematical software like mptopcom , OSCAR , and extensions for polymake Advancing FAIR data principles in computational mathematics Notable software contributions: mptopcom : Parallel triangulation computation framework cellularSheaves : For tropical homology polymake : Polyhedral geometry software Macaulay2 : Maintainer of Polyhedra package Scientific awards : Fields Postdoctoral Fellowship His publications demonstrate expertise in: Toric and tropical geometry Triangulation algorithms Homological algebra Hyperplane arrangements Mathematical software engineering