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Armin ZareView profile

Assistant Professor

• Control Theory
• Fluid Mechanics
• Stochastic Dynamical Modeling
• +3 more

Armin Zare is an Assistant Professor at the University of Texas at Dallas in the Department of Mechanical Engineering , affiliated with the Center for Wind Energy . He obtained his PhD in Electrical Engineering from the University of Minnesota (2016) and previously held a postdoctoral position at the University of Southern California. Education : PhD (2016), MS (2016) in Electrical Engineering from University of Minnesota; BS (2010) in Electrical Engineering from Sharif University of Technology Research Interests : Modeling, dynamics, and control of large-scale and distributed systems; optimization; dynamics and control of complex fluid flows; renewable energy generation. His work focuses on stochastic modeling of turbulent flows and wind farm dynamics using control theory. Recent Publications highlight advancements in wind farm turbulence modeling, stochastic receptivity analysis, and covariance completion algorithms, reflecting his expertise at the intersection of control systems and fluid dynamics. Scientific Awards Young Investigator Program Award, Air Force Office of Scientific Research (2023) Doctoral Dissertation Fellowship, University of Minnesota (2015) Best Student Paper Award Finalist, American Control Conference (2014) Advisees include PhD students working on topics like wall turbulence modeling, wind farm forecasting, and stochastic dynamical systems, with several former students having completed theses on wind turbine wake modeling and fluid flow uncertainties.

Klas MarkströmView profile

Professor

• Combinatorics
• Graph Theory
• Hypergraphs
• +3 more

Klas Markström is a Professor at the Department of Mathematics and Mathematical Statistics, Umeå University. He holds academic qualifications as a Docent and a Recognised University Teacher in Mathematics. His primary research interests include combinatorics, graph theory, hypergraphs, computational combinatorics, linear algebra, and mathematical physics. He utilizes Swedish supercomputing resources, including those at HPC2N, for his research. Markström has advised PhD students Lan Anh Pham (2019) and Joel Larsson (2018). His postdoctoral collaborators include Jakub Sliacan, Fei Song, and Victor Falgas-Ravry. His work spans theoretical contributions to combinatorics, computational methods, and applications in statistical mechanics and algorithm design. Notable research trends include explorations of Condorcet domains in social choice theory, extremal graph/hypergraph problems, and algorithmic solutions for SAT problems. His software contributions include the Umsat SAT-solver and GrafPack, a Mathematica package for graph theory. He has published extensively on topics such as Turán hypergraphs, covering designs, and computational techniques for graph enumeration. Collaborations involve interdisciplinary projects with physicists and computer scientists, reflecting his engagement with both pure and applied mathematics. His research often bridges combinatorial theory with computational experimentation, yielding impactful results in discrete mathematics and beyond.

Shamil AsgarliView profile

Assistant Professor

• Algebraic Geometry
• Arithmetic Geometry
• Finite Fields
• +3 more

Shamil Asgarli is an Assistant Professor in the Department of Mathematics and Computer Science at Santa Clara University (SCU), College of Arts and Sciences. He holds a B.Sc. from the University of British Columbia (UBC) and a Ph.D. from Brown University (2019), advised by Brendan Hassett. Previously, he was a postdoctoral fellow at UBC under mentors Dragos Ghioca and Zinovy Reichstein. His research focuses on algebraic and arithmetic geometry, with recent explorations into algebraic graph theory. Core themes include geometry and combinatorics over finite fields, transverse hypersurfaces, blocking sets, and maximum cliques in Cayley graphs. Notable contributions involve Bertini-type theorems, Picard group analysis of quadric intersections, and studies of Frobenius nonclassical hypersurfaces. Teaching spans courses at SCU (e.g., Cryptography, Calculus), UBC, and Brown, including roles as instructor and teaching assistant for calculus, linear algebra, and number theory. He completed the Sheridan Center's Reflective Teaching Program (Certificate I). His work bridges pure mathematics with combinatorial applications, often leveraging finite field structures. Key collaborations include projects with Dragos Ghioca, Chi Hoi Yip, and Kuan-Wen Lai on transverse subspaces, blocking curves, and geometric irreducibility. His publications frequently address problems at the intersection of algebraic geometry and finite field theory, with applications to coding and cryptography.

Bhaswar B. BhattacharyaView profile

Associate Professor

• nonparametric statistics
• distribution-free inference
• networks analysis
• +4 more

Bhaswar B. Bhattacharya is an Associate Professor of Statistics and Data Science at The Wharton School of the University of Pennsylvania, with a secondary appointment in the Department of Mathematics. His research spans several interconnected areas at the intersection of statistics, probability, and computational geometry. Dr. Bhattacharya received his Ph.D. in Statistics from Stanford University in 2016 under the supervision of Persi Diaconis. Prior to that, he earned both his Bachelor of Statistics (2009) and Master of Statistics (2011) from the Indian Statistical Institute in Kolkata. His research interests focus on three main pillars: nonparametric statistics (including distribution-free inference, nearest-neighbor methods, and inference on networks), combinatorial probability (covering counting problems in random graphs, random colorings, and graph limit theories), and discrete and computational geometry (including facility location problems, Voronoi games, and geometric Ramsey problems). His work often bridges theoretical developments with practical applications in network analysis, statistical learning, and geometric optimization. Recent publications demonstrate a strong trajectory in developing distribution-free methods for network analysis, with significant contributions to understanding fluctuations in graphon-based random graphs and developing optimal tests for inhomogeneous random graph models. His work also shows increasing focus on higher-order network structures through hypergraph models and applications to real-world problems like vaccination site optimization. NSF Career Award (2021-2026) Alfred P. Sloan Research Fellowship (2021) Probability Dissertation Award, Stanford University (2016) Sabyasachi Roy Memorial Gold Medal for best master's thesis, Indian Statistical Institute (2009-2011) Dr. Bhattacharya teaches advanced courses in mathematical statistics at both undergraduate and graduate levels at Wharton. His research program involves collaborations across multiple institutions and disciplines, with recent work applying statistical methods to public health challenges such as optimizing vaccination site locations. He maintains active research collaborations with colleagues in statistics, computer science, and applied mathematics departments.

• Photonics
• Quantum Optics
• Nonlinear Optics
• +5 more

Ayhan Demircan is an Adjunct Professor at the Leibniz School of Optics and Photonics in Leibniz University Hannover. He leads the Micro and Nano Photonics task group and contributes to institutions including the Institute of Quantum Optics , Ultrafast Laser Laboratory , and Hannover Centre for Optical Technologies (HOT) . His work spans photonics, quantum optics, and nonlinear dynamics, with applications in terahertz technology, soliton physics, and optical modeling. Research Interests: Photonics, quantum optics, terahertz radiation, soliton dynamics, nanophotonics, and computational modeling of optical systems. Key Institutions: Leibniz School of Optics and Photonics, Institute of Quantum Optics, HOT, and PhoenixD Cluster of Excellence. Technical Expertise: Develops Python-based tools for nonlinear Schrödinger equations, optical parametric oscillators, and ultrafast laser systems. Contact: demircan@iqo.uni-hannover.de

Julia MikhailovaView profile

Associate Professor

• Applied Physics
• Optical Materials
• Light-Matter Interactions
• +4 more

Julia Mikhailova is an Associate Professor at the Department of Mechanical and Aerospace Engineering, Princeton University. She is also affiliated with the Program in Plasma Physics, the Princeton Plasma Physics Laboratory, and the Andlinger Center for Energy and the Environment. Her research integrates experimental and theoretical approaches to study laser-matter interactions under extreme conditions, focusing on ultrafast dynamics in materials and plasmas. Ph.D. in Physics, Lomonosov Moscow State University (2007) M.A. in Journalism, Lomonosov Moscow State University (2005) M.S. in Physics, Lomonosov Moscow State University (2003) Her research spans Applied Physics , Optical Materials , Light-Matter Interactions , Plasma Physics , and Ultrafast Dynamics . Recent work explores ionization plasma gratings for attosecond pulse compression, relativistic harmonic generation, and magnetized plasma amplification. Articles emphasize nonlinear optics, quantum coherence, and high-intensity laser applications. Scientific Awards: Gordon and Betty Moore Foundation Experimental Physics Investigator award Kavli Frontiers of Science Fellowship (National Academy of Sciences) U.S. Department of Energy Early Career Award Alfred Rheinstein Faculty Award Humboldt Research Fellowship Mikhailova has advised graduate student Matthew Edwards, now a faculty member at Stanford University. Her funded projects include NSF grants (PHY 1506372, PHY 1806911, PHY 2206711) and the DOE Early Career Award DE-SC0017907. She leads the ETOILES (Experimental and Theoretical Optics of Intense Laser Envelopes and Strong fields) research group.

• Vibrations
• Nonlinear dynamics
• Stochastic systems
• +3 more

Thomas Breunung is a Researcher and Principal Investigator of the Dynamics, Structures, and Data (DSD) Lab at the University of Wisconsin-Madison's Department of Mechanical Engineering. His work integrates applied mathematics, physics, and data science to study nonlinear structural dynamics, vibrations, and stochastic systems, with applications in aerospace engineering, biological systems, and oceanography. He holds a PhD from ETH Zurich (2021), an MS and BS from Technische Universität Darmstadt (2016, 2013). His research focuses on analytical, computational, and experimental methods to understand complex dynamic systems, including vibration attenuation, rogue wave prediction, and nonlinear oscillator identification. Notable awards include the 2023 ASME Outstanding Reviewer Award and the 2020 USNC/TAM Fellowship. Current courses taught include E M A 545 (Mechanical Vibrations) and M E 440 (Intermediate Vibrations). The DSD Lab emphasizes interdisciplinary collaboration, combining theoretical rigor with practical engineering solutions. Breunung's recent work explores data-driven forecasting of extreme events, stochastic noise utilization in vibration control, and robust system identification techniques. Ongoing projects include improving predictions of freak waves using field measurements and developing computationally efficient models for nonlinear mechanical systems.

Anne L'HuillierView profile

Professor

• Attosecond Science
• High-Order Harmonic Generation
• Ultrafast Dynamics
• +3 more

Professor Anne L'Huillier is a renowned French/Swedish physicist at Lund University, specializing in atomic physics and attosecond science. She holds the rank of Professor in the Department of Atomic Physics within the Faculty of Engineering (LTH). Her research focuses on ultrafast phenomena, particularly high-order harmonic generation and attosecond light pulses for studying electron dynamics. She leads projects like QU-ATTO and New Trends in Attosecond Science, funded by the EU and Swedish Research Councils. Education: Earned her PhD in 1986 from Université Pierre et Marie Curie (Paris) and CEA. Postdoctoral roles at Chalmers Institute of Technology (1986) and University of Southern California (1988). Became Associate Professor at Lund University in 1995 and Full Professor in 1997. Research Interests: Experimental and theoretical studies of attosecond pulses, laser-atom interactions, and ultrafast electron dynamics. Her work enables insights into quantum processes at the atomic scale. Collaborations span global institutions, advancing applications in condensed matter physics and quantum information science. Key Contributions: Pioneered methods to generate attosecond pulses, recognized by the 2023 Nobel Prize in Physics. Her team's innovations include optimizing attosecond source development and applying these pulses to study electron motion in matter. Awards: Nobel Prize in Physics (2023), Wolf Prize in Physics (2022), and multiple grants including Horizon Europe and Wallenberg Foundation funding. Active in conferences and mentoring, with 34 supervised works and 352 research outputs. Labs/Teams: Principal Investigator at NanoLund, a nanoscience center, and member of strategic initiatives like Light & Materials and Photon Science and Technology profile areas.

Philomena EssedView profile

Professor

• Critical Race Theory
• Gender Studies
• Leadership and Social Change
• +5 more

Philomena Essed is a Professor of Critical Race, Gender, and Leadership Studies at Antioch University’s Graduate School of Leadership and Change, with affiliations as an affiliated researcher at Utrecht University’s Graduate Gender Program. Holding a PhD in Leadership and Change from Antioch University and cum laude degrees from the University of Amsterdam, her work bridges national, cultural, and disciplinary boundaries. PhD in Leadership and Change, Antioch University PhD cum laude, University of Amsterdam MA in Social Anthropology, University of Amsterdam Essed pioneered foundational concepts such as everyday racism, gendered racism, cultural cloning, and entitlement racism. Her research spans social justice interventions, ethics of care, and dignity in leadership, influencing global discourse in the US, Canada, South Africa, Sweden, Finland, Germany, France, Russia, the UK, Switzerland, Australia, and beyond. She has lectured internationally and authored transformative works like Everyday Racism and Understanding Everyday Racism . Her recent articles focus on entitlement racism, academic racism, and ethics of care, reflecting interdisciplinary approaches to dehumanization, social justice, and intersectionality. Awards include the 2025 KNAW Academic Medal, Honorary Doctorates from Umeå University (2015) and the University of Pretoria (2011), and a Knighthood (2011) for her contributions to social justice. 2025 KNAW Academic Medal Honorary Doctorates (Umeå, 2015; Pretoria, 2011) Knighthood, Order of Oranje-Nassau (2011) Black Achievement Award in Science (2017) Outstanding 2005 CHOICE Award for A Companion to Gender Studies Essed co-founded the Black Europe Summer School (2008–present) and serves on advisory boards for the Journal for Citizenship and Globalisation, Black European Studies Series, and the Center for Intersectional Justice. Her work integrates scholarly, governmental, and community-oriented activism, emphasizing dignity, care ethics, and systemic change.

Mingji ZhangView profile

Associate Professor

• Dynamical Systems
• Differential Equations
• Geometric Singular Perturbation Theory
• +5 more

Dr. Mingji Zhang is an Associate Professor in the Department of Mathematics at New Mexico Institute of Mining and Technology (NMT), tenured since August 2020. His research focuses on Dynamical Systems, Differential Equations, and their applications in electrochemical systems and biophysics. Key areas include Geometric Singular Perturbation Theory (GSPT), Poisson-Nernst-Planck (PNP) models for ion channel flows, and multiscale analysis in developmental biology. Education - Ph.D. (2013) in Mathematics, University of Kansas - M.A. (2011) in Mathematics, University of Kansas - M.A. (2005) in Applied Mathematics, Kunming University of Science and Technology - B.S. (2003) in Mathematics, Yantai Normal University Research Interests Dr. Zhang’s work emphasizes nonlinear dynamics and ion transport phenomena , particularly through PNP systems with steric effects and Bikerman potentials. His studies investigate boundary layer effects, ion size impacts, and bifurcation mechanisms in planar polynomial vector fields. Recent work integrates stochastic processes into fractional Ginzburg-Landau equations and descriptor systems with time delays. Article Trends His recent publications explore higher-order ion size contributions , critical potential roles in PNP systems , and stochastic dynamics in fractional models . Key themes include boundary layer analysis, nonlinear noise effects, and multi-component electrochemical systems. Awards/Grants No specific awards listed, but his tenure reflects sustained academic excellence. Active in securing research funding for PNP modeling and stochastic systems. Labs/Teams No named labs mentioned, but collaborates with groups in Mathematical Biology and Nonlinear Dynamics through interdisciplinary projects.

• Micro/Nanofabrication
• Semiconductor Materials and Devices
• Bio-MEMS and Microfluidics
• +3 more

Professor Cheng Xing is a distinguished faculty member at the Department of Materials Science and Engineering within the College of Engineering at Southern University of Science and Technology (SUSTech). Since 2013 , he has served as a Professor and previously held a Director position at the Analytical Testing Center until 2020 , after which he became the Director of the Laboratory and Equipment Management Department . His academic journey includes a PhD in Electrical Engineering from the University of Michigan (2005), an MS in Geochemistry from Stanford University (1999), and a BS in Geochemistry from the University of Science and Technology of China (1997) Research Interests: Micro/Nanofabrication Techniques Nano-Optics and Photonic Devices Organic Semiconductor Materials Bio-MEMS and Digital Microfluidics Integrated Macroelectronics Publication Trends reflect expertise in Nanoimprint Lithography , High-Performance Semiconductor Devices , and Advanced Bio-MEMS Systems , with recent work focusing on Metasurface Applications , Flexible Electronics , and Cost-Effective Nanofabrication . His 15 Most Recent Articles (2023-2002) span Materials Science , Nanotechnology , and Optical Engineering . Scientific Recognition: 2011: NSF CAREER Award 2011: DARPA Young Faculty Award 2013: Shenzhen Peacock Project B 2014: Shenzhen Government Special Allowance 2018: Shenzhen Pengcheng Scholar Administrative Roles include leadership positions at SUSTech's Analytical Testing Center (2013-2020) and Director of Laboratory and Equipment Management Department (2020-present). His work bridges Academic Research and Industrial Application , with grants supporting innovations in Nanostructured Materials and Smart Sensing Systems .

Shresth GuptaView profile

Research Fellow

• Biomedical Signal Processing
• Photoplethysmography (PPG)
• Artificial Intelligence in Healthcare
• +7 more

Shresth Gupta is a Research Fellow in the School of Mathematics and Physics at the University of Surrey, affiliated with the Mathematics at the Interface Group. His research lies at the intersection of biomedical signal processing, artificial intelligence, and healthcare innovation, with a focus on photoplethysmography (PPG)-based monitoring for non-invasive diagnostics. Education: PhD in Electronics and Telecommunication Engineering, International Institute of Information Technology, Naya Raipur, India (2023) M.Tech in VLSI Design, CSVTU, Bhilai, India (2014) B.E. in Electronics and Telecommunication Engineering, CSVTU, Bhilai, India (2011) His research interests include biomedical signal processing , PPG signal analysis , machine learning for healthcare , wearable health monitoring , and telemedicine . He specializes in developing AI-driven models for cuffless blood pressure estimation, early diabetes detection, cerebral infarction screening, and PPG signal denoising and compression. His work leverages advanced signal processing techniques such as TQWT, DCT, and Savitzky-Golay filtering, combined with machine learning models like Random Forest, LSTM, and CNNs. The recent publications reflect a strong trend in leveraging PPG signals for non-invasive, continuous health monitoring . His research spans from fundamental signal enhancement (denoising, compression) to clinical applications (diabetes, hypertension, stroke). The work consistently targets real-world deployment in wearable devices, emphasizing robustness, accuracy, and compliance with clinical standards like the British Hypertension Society benchmarks. Scientific Awards: No awards listed in the provided text. Shresth Gupta has not published any information about advising students or securing research grants in the given content. However, his extensive publication record in high-impact journals and conferences (IEEE, Springer) indicates active research engagement. He is involved in interdisciplinary teams working on healthcare technology innovation, particularly within the Mathematics at the Interface Group at the University of Surrey, which likely fosters collaboration between mathematics, physics, and medical applications. His future work is expected to further advance AI-powered, wearable-based diagnostic systems for chronic disease management.

Peter SchmidtView profile

Professor

• U.S. literature
• literary history
• cultural history
• +7 more

Peter Schmidt is the William R. Kenan, Jr., Professor of English Literature at Swarthmore College, with cross-appointments in Environmental Studies and Black Studies. He teaches courses in U.S. literature and literary and cultural history, with a particular focus on fiction and poetry in the twentieth century. His research interests span U.S. literature, critical race studies, ecopoetry, and postcolonial theory. Schmidt's current work centers on contemporary fiction and poetry (particularly from the 1960s onward) and their implications for understanding family, nation, and cosmopolitanism. He is completing a book titled Upcycling Ecopoetry , which explores how poetry can contribute to ecological thinking and community-making in the age of climate crisis. Schmidt's publications include Sitting in Darkness: New South Fiction, Education, and the Rise of Jim Crow Colonialism, 1865-1920 (2008), Making and Unmaking Whiteness in Early New South Fiction After the Civil War (2012), and The Heart of the Story: Eudora Welty's Short Fiction (1991), which won the C. Hugh Holman Award for Southern Literary Criticism. His most recent scholarly activity focuses on the intersection of poetry, environmental crisis, and social justice. His teaching portfolio includes regular courses such as English 009H 'Portraits of the Artist,' English 52A 'U.S. Fiction 1900-1950,' English 52B 'U.S. Fiction 1945 to the Present,' and English 53 'Modern American Poetry,' along with occasional offerings like 'The Lyric Poem in English' and 'The Short Story in the U.S.' Schmidt has won recognition for his scholarship, most notably the C. Hugh Holman Award. His recent blog posts and academic writing demonstrate his commitment to exploring how literature, particularly poetry, can address contemporary crises of climate change and social inequality. As an educator at Swarthmore College, Schmidt has taught for over forty years, noting that many of his courses have been cross-listed with Black Studies or Environmental Studies. He has taught numerous first-generation students and students of color, observing how literature classes provide spaces for students to explore new perspectives and challenge dominant narratives.

George SlotaView profile

Associate Professor

• Graph Mining
• Network Analysis
• Big Data Analytics
• +5 more

George Slota serves as an Associate Professor in the Computer Science Department within the School of Science at Rensselaer Polytechnic Institute (RPI). Previously, he held positions as a Computer Scientist at Sandia National Labs New Mexico and as a Computer Engineer at the Naval Undersea Warfare Center. His research spans graph and network mining, big data analytics, machine learning, bioinformatics , and their intersections with parallel computing, scientific computing, and high performance computing . His work focuses on scalable algorithms for trillion-edge graphs, graph partitioning, community detection, and GPU-accelerated graph processing. His recent publications reveal strong emphasis on graph coarsening and spectral methods distributed graph algorithms for biconnectivity and coloring random graph generation and validation GPU acceleration for graph neural networks His research has been recognized with a prestigious NSF CAREER award supporting his project "Scalable Graph Processing to a Quadrillion Edges and Beyond." Award: National Science Foundation Faculty Early Career Development (CAREER) Award His work demonstrates consistent funding and collaboration with major national laboratories including Sandia National Labs and involvement in ExaGraph projects targeting exascale computing challenges. He maintains an active research group focused on extreme-scale graph analytics.

Yeongin KimView profile

Assistant Professor

• Flexible Electronics
• Semiconductor Materials
• Neuromorphic Engineering
• +2 more

Yeongin Kim is Assistant Professor in Electrical and Computer Engineering at University of Cincinnati, with secondary appointment in Materials Science and Engineering. His research develops novel electronic materials and devices for flexible/stretchable applications. Research focuses on remote epitaxy, van der Waals epitaxy, and solution-based processing to create soft electronic systems including neuromorphic devices, health monitors, and bio-inspired sensors. Prior to UC, he was Postdoctoral Associate at MIT and Research Assistant at Stanford University.