جست‌وجوی استاد و پژوهشگر

• Special functions
• Fractional calculus
• Mathematical Physics
• +۲ مورد دیگر

Praveen Agarwal is a Professor of Mathematics at the Department of Mathematics, International College of Engineering, located near Kanota, Agra Road, Jaipur-303012, Rajasthan, India. He also maintains a significant affiliation with the Lepage Research Institute in Slovakia. His academic profile demonstrates a strong international presence with collaborations spanning multiple continents. Dr. Agarwal's research expertise centers on Special functions , Fractional calculus , and Mathematical Physics . His work in fractional calculus represents cutting-edge contributions to this specialized mathematical field, developing theoretical frameworks with applications across diverse scientific disciplines. His research in special functions has led to numerous extensions and generalizations of classical mathematical constructs, creating innovative tools for solving complex differential equations. In mathematical physics, he applies rigorous analytical techniques to model physical phenomena, particularly those involving wave propagation, diffusion processes, and energy systems. Analysis of Dr. Agarwal's extensive publication record reveals a sophisticated approach to fractional-order differential equations with applications spanning viscoelastic wave behavior, neural networks, energy storage systems, and biomedical engineering. He frequently develops novel mathematical methods, including specialized integral transforms and polynomial-based solution techniques, to address complex nonlinear systems. His research consistently bridges pure mathematical theory with practical engineering applications, particularly in areas requiring precise modeling of memory effects and non-local phenomena. The interdisciplinary nature of his work is evident in publications addressing both theoretical mathematics and practical engineering challenges. Dr. Agarwal maintains active research collaborations with prestigious institutions worldwide, including The Union of Czech Mathematicians and Physicists, University of Prešov in Prešov, Eötvös Loránd University, Italian Society for General Relativity and Gravitation, Transilvania University of Brasov, VŠB-TU Ostrava, and Lodz University of Technology. These international partnerships reflect the global recognition of his contributions to mathematical sciences and demonstrate his ability to work across disciplinary boundaries to solve complex problems.

• Condensed Matter Physics
• Materials Science
• Topological Materials
• +۵ مورد دیگر

Guoqing Chang is a Nanyang Assistant Professor at Nanyang Technological University (NTU), Singapore, and an NRF Fellow. His research focuses on computational condensed matter physics and materials science, with specialties in topological materials, quantum responses, and density functional theory (DFT)-based predictions. He leads a group exploring electronic, magnetic, and optical properties of topological systems, collaborating with experimental groups globally. Education: PhD in Physics (2014–2017, National University of Singapore), Postdoctoral Researcher at Princeton University (2018–2020). Awards include the 2023 MIT Technology Review Innovator under 35 (Asia Pacific), Singapore Young Scientist Award, and Highly Cited Researcher status since 2019. Research interests span topological quantum phases, topological insulators/semimetals, nonlinear responses, and material discovery via DFT. His group has pioneered studies on Weyl fermions, quantum spin Hall effects, and charge-order dynamics in kagome lattices. Collaborations include experimental groups worldwide to bridge theory and application. Labs/Teams: Guoqing Chang's Research Group (NTU), focusing on computational and theoretical condensed matter physics. Grants: Supported by NRF Fellowships and other funding for topological materials research. Students: Advises PhD students Yilin Z HAO and Peiyuan CUI, with alumni including Chia-Hsiu Hsu (Okinawa Institute of Science and Technology) and Yuanjun Jin (South China Normal University).

Yi-Zhuang Youمشاهده پروفایل

دانشیار

• Condensed Matter Physics
• Quantum Entanglement Dynamics
• Topological Phases
• +۴ مورد دیگر

Yi-Zhuang You is an Associate Professor in the Department of Physics at the University of California, San Diego (UCSD). He holds a Ph.D. from Tsinghua University (2013). His research focuses on theoretical investigations of correlated topological phases, quantum entanglement dynamics, and machine learning applications in many-body systems. Key areas include deconfined quantum criticality, symmetry-protected topological (SPT) phases, and the interplay between topology and quantum matter. His work bridges condensed matter physics and high-energy physics, exploring topics such as topological responses in gauge theories, entanglement holography, and quantum machine learning. Recent studies involve machine learning-driven approaches to quantum state preparation, symmetry discovery, and tomographic reconstruction of quantum systems. His contributions span theoretical frameworks for understanding topological transitions, fractionalization in lattice models, and the role of symmetry in quantum critical phenomena. Notable research highlights include the study of symmetric mass generation as a deconfined quantum criticality mechanism, the application of classical shadow tomography for efficient quantum state estimation, and the development of algorithms for self-similar dynamics modeling. His publications frequently intersect with experimental proposals for observing topological phases in materials like graphene and iridates. Dr. You’s affiliations include the UCSD Physics Department, with collaborations extending to institutions globally. His research is supported by grants focusing on quantum information, topological materials, and machine learning applications in physics. While no specific awards are listed, his work has been widely cited in high-impact journals across condensed matter and theoretical physics.

Mohamed Gharibمشاهده پروفایل

عضو هیئت علمی

• Vibration Control
• Robotics Systems Design
• Dynamic Systems
• +۴ مورد دیگر

Dr. Mohamed Gharib is an Instructional Associate Professor in the Department of Engineering Technology and Industrial Distribution at Texas A&M University's College of Engineering. He also serves as Program Coordinator for Multidisciplinary Engineering Technology and holds affiliated faculty status in Multidisciplinary Engineering. His roles include teaching, research leadership, and academic program development. Educational Background: Ph.D., Mechanical Engineering, Southern Methodist University (2011) M.S., Aerospace Engineering, Cairo University (2007) B.S., Aerospace Engineering, Cairo University (2002) Research Interests: Dr. Gharib focuses on advanced engineering systems and education innovation. His technical work spans vibration control , robotics systems design , and impact mechanics , with notable contributions to drill string vibration suppression and novel damping technologies. In education, he pioneers STEM outreach programs and curriculum development, including initiatives like the Awesome STEM Lab and e-STEM programs . His COBOTICS Lab integrates robotics research, undergraduate training, and community engagement. Research Impact: Recent work addresses dexterous robotics (via NSF's HAND ERC), adaptive control algorithms for drilling systems, and advanced composite coatings for tribological applications. His publications emphasize real-world applications in oil well operations, structural acoustics, and educational technology. Awards: Francisco José de Caldas Award for Sustainable Excellence (2021) Excellence in STEM Implementation Award (ASME, 2020) Outstanding Graduate Student Awards (2010) Labs & Programs: Director of the COBOTICS Lab , which develops robotic systems, control technologies, and STEM education tools. Active in multidisciplinary projects like the NSF-funded Human Augmentation via Dexterity (HAND ERC) collaboration.

Joscha Gedickeمشاهده پروفایل

استاد

• Numerical Analysis
• Computational Mathematics
• Finite Element Methods
• +۳ مورد دیگر

Joscha Gedicke is a Professor at the Institute for Numerical Simulation (University of Bonn), specializing in Numerical Analysis , Finite Element Methods , and Scientific Computing . His research focuses on adaptive algorithms, error estimation, and computational methods for partial differential equations (PDEs) and optimal control problems. Contact: gedicke@ins.uni-bonn.de | +49 228 73-69835 Teaching: Lectures on Hybrid High-Order Methods (V5E1), Adaptive Finite Element Methods (S4E1), and Discontinuous Galerkin Methods (V5E5). Research Trends: Gedicke's work spans Numerical Methods for PDEs , Adaptive Finite Element Analysis , Mixed and Discontinuous Galerkin Formulations , and Error Estimation . His recent publications emphasize Virtual Element Methods and Robust Discretizations for magnetostatic and optimal control problems. Collaborative Networks: He collaborates with researchers in computational mathematics, including institutions like TU Munich, University of Milano-Bicocca, and the University of Bonn's research seminar on Mathematics of Computation .

• Fluid Power
• Additive Manufacturing
• Smart Manufacturing
• +۴ مورد دیگر

Dr. José Garcia-Bravo is an Associate Professor at the Purdue Polytechnic Institute, Department of Mechanical Engineering Technology, specializing in fluid power systems, additive manufacturing, and smart manufacturing using Industrial Internet of Things (IIoT) technologies. His work bridges applied research with educational innovation, including the development of a miniature electro-hydraulic excavator arm and the Fluid Power Student Club. Education: Ph.D. in Engineering (Fluid Power), Purdue University, 2011 M.Sc. in Engineering, Purdue University, 2006 M.A. in Teaching of Spanish, Purdue University, 2004 B.Sc. in Mechanical Engineering, Universidad de Los Andes, 2002 His research interests span fluid power & motion control, digital twins, reverse osmosis systems, and mixed reality applications in manufacturing. He focuses on optimizing hydraulic systems for heavy-duty vehicles, embedding sensors in 3D-printed components, and advancing water purification technologies. Recent publications highlight innovations in digital hydraulics, bio-based packaging materials, and reverse osmosis efficiency. He has secured patents for 3D-printed lens gratings and processes for additive manufacturing. Scientific Awards: Purdue Polytechnic Outstanding Faculty in Learning Award (2019) Purdue Polytechnic Outstanding Faculty in Engagement Award (2022) Dr. Garcia-Bravo actively engages in globalizing fluid power education, facilitating student exchanges with Latin American countries and contributing to international standards for hydraulic components through ISO committees.

Alain Oustaloupمشاهده پروفایل

استاد

• Fractional Calculus
• System Identification
• Control Theory
• +۴ مورد دیگر

Alain Oustaloup is a Professor in the AUTOMATIC CONTROL research group at Université de Bordeaux , leading the CRONE team. His work focuses on fractional calculus , system identification , and control theory , with applications spanning thermal systems , epidemiology , and automotive engineering . Expertise : Fractional Order Modeling, CRONE Control, Thermal Diffusion Analysis Key Collaborations : Université de Lorraine, CNRS, STMicroelectronics His research includes fractional differentiation models for continuous-time system identification, non-integer power models for viral spread (e.g., COVID-19 ), and infinite state approaches for complex system representation. Recent publications emphasize thermal modeling and fractional prefilters for MIMO systems. Applications of his work extend to automotive suspensions (CRONE method), battery diagnostics , and medical device modeling . Collaborations with institutions like CRAN (Nancy) and IMS-Bordeaux highlight his interdisciplinary impact.

Mohamed Elamienمشاهده پروفایل

استادیار

• Circuit Theory
• CMOS Integrated Circuits
• Analog and Mixed-Signal Circuit Design
• +۷ مورد دیگر

Dr. Mohamed Elamien is an Assistant Professor in the Department of Electrical and Computer Engineering at McMaster University . His research focuses on automating high-performance integrated circuit (IC) design, addressing Power-Performance-Area (PPA) challenges in semiconductors, and developing self-powered platforms for emerging technologies like biomedical and IoT applications. He holds a BSc (Highest Honors) and MSc from the University of Sharjah (2015–2017), and a PhD in Electrical and Computer Engineering from the University of Calgary (2021). Prior to academia, he worked as a senior analog/mixed-signal circuit design engineer at Synopsys (2022). Education: BSc (Highest Honors) in Electrical & Electronics Engineering – University of Sharjah (2015) MSc in Electrical & Electronics Engineering – University of Sharjah (2017) PhD in Electrical & Computer Engineering – University of Calgary (2021) His research interests span analog and mixed-signal circuit design , CMOS integrated circuits , biomedical technologies , and energy-efficient systems . He has developed innovative designs for oscillators, filters, and low-power circuits with applications in IoT and healthcare. His work emphasizes automation and symbolic math tools to streamline circuit synthesis. Dr. Elamien has published extensively in top-tier journals like IEEE Transactions on VLSI Systems and IEEE Transactions on Microwave Theory and Techniques , focusing on topics such as all-pass filters , low-power oscillators , and AI-driven circuit design . His articles often address challenges in high-frequency communication systems and noise reduction . Awards: Alberta Innovates Graduate Student Award (2020 – Technology Category) Alberta Graduate Excellence Scholarship (2019–2020) 2022 Schulich School of Engineering Graduate Student Research Excellence Award He currently teaches ELECENG 2CJ4: Circuits and Systems and ELECENG 3TP3: Signals and Systems , emphasizing advanced circuit analysis and systems theory. His lab explores next-generation circuit architectures for energy-efficient and biomedical applications.

• Distributed Decision Making
• Cyber-Physical Systems
• Control Systems
• +۵ مورد دیگر

Vijay Gupta is the Elmore Professor of Electrical and Computer Engineering and Associate Head of Graduate and Professional Programs at Purdue University's College of Engineering. His research focuses on distributed decision-making systems, combining data-driven and model-driven approaches for infrastructure networks like power grids, transportation systems, and water distribution networks. Key areas include compositional control, cyber-physical security, and incentive design in distributed estimation and control. Education: B.Tech from Indian Institute of Technology Delhi, M.S. and Ph.D. from California Institute of Technology, all in Electrical Engineering. Prior roles include faculty positions at Notre Dame and research roles at United Technologies Research Center. Research emphasizes resilient control strategies for large-scale systems, with recent work addressing secure estimation under adversarial attacks, model reduction techniques, and reinforcement learning frameworks for decentralized control. His publications span control theory, cyber-physical systems, and optimization algorithms. Grants and collaborations are not explicitly detailed here, but his work reflects significant engagement with foundational and applied research challenges in networked systems. No specific awards are listed in the provided texts.

Sergio Gómez Jiménezمشاهده پروفایل

دانشیار

• Complex Networks
• Complex Systems
• Neural Networks
• +۴ مورد دیگر

Sergio Gómez Jiménez is an Associate Professor in the Department of Computer Engineering and Mathematics at Rovira i Virgili University (URV), Tarragona, Spain. He joined URV in 1995 and has held his current position since 1997. He obtained degrees in Physics (1990) and Mathematics (1995) and a PhD in Physics (1994) from the Universitat de Barcelona. His research focuses on complex networks, including community structure analysis, epidemic spreading, urban congestion, and applications to biology, medicine, and social systems. He has authored over 100 publications in high-impact journals like Nature Methods and Physical Review Letters. He coordinates the interuniversity Master's in Biomedical Data Science and the PhD Program in Bioinformatics. His editorial roles include Associate Editor of Complexity and Review Editor of Frontiers in Physics. Notable awards include the American Physical Society's Outstanding Referee (2015) and the Web Science Trust's Test of Time Award (2024). His work on modeling the spatiotemporal spread of epidemics, such as the 2020 COVID-19 pandemic, has received significant attention. He also contributed to urban traffic congestion analysis and developed algorithms for hierarchical clustering (e.g., MultiDendrograms). Collaborations span institutions like the University of Oxford and CERN, reflecting his interdisciplinary approach to complex systems.

Rasmus Waagepetersenمشاهده پروفایل

استاد

• Spatial Statistics
• Quantitative Genetics
• Markov Chain Monte Carlo Methods
• +۳ مورد دیگر

Rasmus Waagepetersen is a Professor in the Department of Mathematical Sciences at Aalborg University, affiliated with The Faculty of Engineering and Science. His research focuses on spatial statistics, quantitative genetics, and statistical methodology for spatial point processes. He leads and participates in interdisciplinary projects such as urbanLab (spatial data analysis for urban planning) and studies on microbiome interactions in agricultural systems. Key research areas include spatial point processes, Markov chain Monte Carlo methods, and statistical inference for complex ecological and biomedical data. His work frequently involves collaborations with environmental and biological scientists, as seen in projects analyzing root microbiota assemblies in legumes and climate data for building simulations. Waagepetersen has contributed to methodological advancements in spatial statistics, including goodness-of-fit tests, likelihood-based inference for log Gaussian Cox processes, and quasi-likelihood approaches for case-control point pattern data. His research has been supported by grants from institutions like the Villum Foundation. Key Projects: urbanLab, Klimadata til fugtsimuleringer, Nod factor signaling in plant microbiota. Grants: Multiple projects funded by the Villum Foundation and Danish research councils. His recent publications address topics such as space-time point processes, microbiome data analysis, and statistical modeling in education. Waagepetersen maintains an active research group and collaborates internationally on both theoretical and applied statistical problems.

• Battery Management Systems
• Electric Vehicles
• Lithium-ion Batteries
• +۱۴ مورد دیگر

Professor Weixiang Shen is a full Professor in the Department of Engineering Technologies at the School of Engineering, Swinburne University of Technology, Melbourne, Australia. He holds a PhD in Electrical Engineering and has extensive academic experience across China, Germany, Singapore, and Malaysia. Bachelor of Engineering (BEng), Electrical Engineering Master of Engineering (MEng), Electrical Engineering Doctor of Philosophy (PhD), Electrical Engineering His research focuses on battery management systems for electric vehicles and renewable energy integration. Key areas include battery capacity estimation, charging strategies, fault diagnosis, thermal and mechanical management, and grid integration of EVs. He employs advanced techniques such as physics-informed machine learning, electrochemical modeling, and multidimensional sensing to enhance battery safety and performance. His recent publications (2024–2025) reveal a strong trend toward intelligent battery health monitoring, degradation modeling, and innovative thermal management using origami-inspired designs. These works appear in top journals like Applied Energy , IEEE Transactions , and Journal of Energy Chemistry . Associate Editor, IET Power Electronics Editorial Board Member, Journal of Energy Storage Founding Board Member, Vehicles Guest Editor, Applied Energy , Journal of Cleaner Production , Energy General Chair, ICEEE2018 Program Chair, CoEEPE2023 Professor Shen actively supervises PhD and Master’s students in areas such as battery fault diagnosis, energy storage, and control systems. His research is supported by grants from the Australian Research Council, Department of Industry, Science and Resources, and industry partners. He leads projects on intelligent energy management, battery testing, and EV control systems. His lab explores cutting-edge topics including solid-state batteries, multidimensional sensing, and origami-based thermal solutions for battery packs.

Alfonso Baños Torricoمشاهده پروفایل

استاد

• Control Systems
• Nonlinear Systems
• Systems Theory
• +۴ مورد دیگر

Alfonso Baños Torrico is a Professor at the Department of Computer Science and Systems Engineering, Faculty of Informatics, Universidad de Málaga. He obtained his Doctorate from Universidad Complutense de Madrid in 1991 with a thesis on nonlinear system control. His research focuses on control theory, nonlinear systems, reset control systems, and robust control methodologies. Key contributions include work on port-Hamiltonian systems, stability analysis of impulsive systems, and QFT-based design techniques. Education: PhD in Systems Engineering, Universidad Complutense de Madrid (1991) Research Interests: His expertise spans control systems design, nonlinear dynamics, quantitative feedback theory (QFT), and applications of fractional calculus in control. He has pioneered studies on reset control systems and stability analysis for time-delay systems. Recent Work Trends: Recent articles emphasize exponential stability of reset controllers, looped-functional methods for impulsive systems, and CRONE compensator applications in Bode optimal loop shaping. Collaborations: Collaborated extensively with researchers like Joaquín Cervera, Arjan van der Schaft, and Sophie Tarbouriech. His work appears in top journals such as Automatica, International Journal of Robust and Nonlinear Control, and Nonlinear Analysis: Hybrid Systems. Labs/Teams: Engaged in research groups focused on industrial informatics and systems engineering at Universidad de Málaga. Previously part of the Informática Industrial research group.

İBRAHİM TEKİNمشاهده پروفایل

دانشیار

• Inverse Problems
• Mathematical Modelling
• Partial Differential Equations
• +۳ مورد دیگر

İBRAHİM TEKİN is an Associate Professor at Alanya Alaaddin Keykubat University's RAFET KAYIŞ FACULTY OF ENGINEERING, Department of Fundamental Engineering Sciences. Previously, he held positions at Bursa Technical University and Gebze Technical University. He earned his B.Sc., M.Sc., and Ph.D. in Mathematics from Gebze Technical University between 2004 and 2016. His research focuses on inverse problems, mathematical modeling, partial differential equations, and inverse scattering. Key areas include time-dependent coefficient identification in fractional PDEs, nonlinear hyperbolic systems, and scattering theory applications in wave dynamics. He has published extensively in journals like Journal of Computational and Applied Mathematics and Mathematical Methods in the Applied Sciences . Administratively, he served as Vice President of the Department at Bursa Technical University (2019–2017) and Head of the Department of Mathematics (2020). He teaches applied mathematics courses and has supervised numerous research projects in inverse problem methodologies. His work bridges theoretical mathematics with engineering applications, addressing challenges in diffusion processes, wave equations, and fractional calculus. Current research trends emphasize high-order PDEs and numerical methods for inverse problem solutions.

Mohammad Hassan Khoobanمشاهده پروفایل

دانشیار

• Power Systems
• Renewable Energy
• Control Systems
• +۴ مورد دیگر

Mohammad Hassan Khooban is an Associate Professor at the Department of Electrical and Computer Engineering, specializing in Electrical Energy Technology at Aarhus University . His research emphasizes advanced control strategies for power systems, renewable energy integration, and smart grid technology. While specific educational background details are not explicitly stated, his work demonstrates expertise in power electronics, control systems, and machine learning applications. His projects include pioneering initiatives like QuantumEcoCircuits (2024–2027) and Smart Synergy Mechanism (2023–2025), focusing on sustainable energy systems, electric vehicle charging dynamics, and resilient grid operations. His research interests span adaptive control methodologies, grid resilience under cyber threats, and the optimization of energy storage systems. He has contributed to peer-reviewed journals such as IET Renewable Power Generation and IEEE Transactions on Smart Grid , exploring topics ranging from PID controllers to fractional-order sliding mode control for unmanned aerial vehicles. No scientific awards are listed, but his work is supported through grants and collaborative projects. He is actively involved in lab initiatives related to power systems and renewable energy technologies.