Find Academic Supervisors

Simon LloydView profile

Researcher

• International Macroeconomics
• Monetary Economics
• Macro-Finance
• +4 more

Dr. Simon Lloyd is a Senior Research Economist at the Bank of England , specializing in International Macroeconomics and Monetary Policy . He holds a Ph.D. in Economics from the University of Cambridge and is affiliated with the Centre for Macroeconomics . His work addresses macroeconomic tail risks , exchange rate dynamics , and policy interactions between monetary and macroprudential frameworks. Key research themes include global risk transmission, capital flows, and quantitative policy evaluation Current projects analyze GDP-at-Risk, trade policy impacts, and DSGE model-based forecasting His methodological focus combines narrative approaches and granular data analysis to untangle causal policy effects. Simon collaborates extensively with institutions like CEPR , ECB , and IMF , with publications in Journal of International Economics , IMF Economic Review , and Bank of England working papers . Recent contributions include: 2025: Chapter on international macroeconomics in Ph.D. textbook 2025: CEPR paper on tariff exchange-rate dynamics 2025: DSGE model for UK policy scenarios 2024: Journal article on capital controls-trade policy He maintains active research in macro-financial stability and policy coordination across economic cycles.

M. Horn-von HoegenView profile

Professor

• Semiconductor and Metal Heteroepitaxy
• Surfactant-modified Epitaxy
• Lattice Mismatch and Strain Relaxation
• +7 more

Professor Michael Horn-von Hoegen leads the experimental physics group at the University of Duisburg-Essen's Faculty of Physics, focusing on surface dynamics and 2D material behavior through ultrafast electron diffraction and microscopy. With over 185 publications and significant citations (h=42), his work bridges fundamental quantum phenomena and applied nanotechnology. Academic Roles: DFG Liaison Professor, Dean's Office member, former SFB 616 spokesperson Key Projects: CRC 1242 'Non-equilibrium Dynamics' with projects on phonon transport, plasmonics, and atomic wire systems Research Focus: Specializes in heteroepitaxy , topological plasmonics , and nanoscale heat transport through techniques like time-resolved LEED and ultrafast electron microscopy . Notable discoveries include negative thermal expansion in hBN and surfactant-modified epitaxy mechanisms . Recent Article Trends: 2023-2025 publications demonstrate expertise in fractional angular momentum systems, phase transition dynamics , and defect-free 2D material growth using advanced interferometry and microscopy techniques. Scientific Awards: IBM Postdoctoral Fellowship Heinz-Maier-Leibnitz Prize iCORE Visiting Professor Grants Academic Leadership: Advises multiple PhD candidates while maintaining collaborative projects with institutions across Canada, Australia, and Europe. His group provides training in cutting-edge methods like single-path interferometry and plasmon-enhanced electron emission within the DFG-funded CRC 1242 graduate school.

• Earthquake Engineering
• Structural Dynamics
• Seismic Assessment
• +3 more

Dr. Fırat Soner Alıcı is an Assistant Professor in the Department of Civil Engineering at Başkent University, Ankara, Türkiye. His academic career focuses on earthquake engineering and structural dynamics, with a particular emphasis on seismic assessment, energy dissipation mechanisms, and advanced analytical methods like generalized pushover analysis. PhD in Civil Engineering, Middle East Technical University (2019) MSc in Civil Engineering, Middle East Technical University (2012) BSc in Civil Engineering, Middle East Technical University (2009) Dr. Alıcı’s research spans several key areas in seismic engineering, including: Energy-based seismic design and analysis Pushover analysis for torsionally coupled systems Damping spectra and inelastic deformation estimation Seismic performance of critical infrastructure Viscous damping efficiency in earthquake response reduction Numerical simulation of protective structures His publications reflect a strong focus on both theoretical and applied earthquake engineering, covering: Input energy prediction models Viscous damping systems Hysteretic energy distribution Post-earthquake structural evaluations Generalized force vector applications Seismic isolation technologies Dr. Alıcı has received the TDMD 2021 Research Incentive Award from Türkiye Deprem Mühendisliği Derneği. His research has been supported by multiple grants as both principal investigator and researcher. He actively contributes to the academic community as a reviewer for Bulletin of the Seismological Society of America and Seismological Research Letters (2024). His work addresses critical infrastructure resilience, with applications in healthcare facilities and power substation equipment.

• Machine Learning
• Deep Learning
• Medical Informatics
• +3 more

Nasmin Jiwani is a Research Scholar with 56 publications, an h-index of 20, and 921 total citations. Her academic work spans interdisciplinary applications of machine learning and deep learning techniques across medical diagnostics, cybersecurity, and IoT systems. Her research focuses on Medical Informatics where she develops AI-driven diagnostic tools for liver disease prediction, diabetic retinopathy classification, and acute lymphoblastic leukemia detection. In Cybersecurity , she pioneers image-based malware classification using deep learning architectures. Her IoT Systems research includes supply chain optimization and smart security applications. Recent work shows increasing emphasis on healthcare technology integration, particularly in cancer diagnostics and autism spectrum disorder analysis. Collaboration patterns indicate strong partnerships with Ketan Gupta (30 co-authored papers), J. Logeshwaran, and Neda Afreen across IEEE conferences and journals. Her publication trajectory demonstrates consistent output with 10+ papers annually since 2022, showing particular strength in translating theoretical machine learning models to practical healthcare and security applications.

Angelo KeramidasView profile

Research Fellow

• Neurosciences
• Zoology
• Ion Channels
• +3 more

Dr. Angelo Keramidas is a Senior Research Fellow at the University of Queensland , affiliated with the Institute for Molecular Bioscience. His research focuses on ion channels in health and disease, particularly GABA-A, glycine, and glutamate (NMDA) receptors implicated in neurological disorders like epilepsy, autism, and neurodevelopmental conditions. Projects: Investigating receptor variants in epilepsy/autism, glutamate receptors in developmental delay, and venom peptide modulation of sodium channels. Techniques: Patch-clamp electrophysiology, venom peptide analysis, and functional characterization of ion channel variants. He collaborates with biophysicists, clinicians, and geneticists across Australia, USA, and Europe. Current funding includes an ARC Discovery Project (2023-2026) and industry partnerships.

• Data Science
• Geometric Morphometrics
• Disease Modeling
• +3 more

Dr. Kenneth Soda, Jr. serves as Assistant Professor of Mathematics and Data Science at Quinnipiac University's College of Arts & Sciences, where he has taught since 2019. His academic journey spans biology, computational science, and data applications. Education background: B.S. in Biology, Western Washington University (2009) M.A. in Biology, SUNY Stony Brook (2011) M.S. and Ph.D. in Computational Science, Florida State University Post-Doctoral Researcher, University of Notre Dame (2017-2019) His research integrates data science with biological applications , specializing in geometric morphometrics (statistical analysis of biological shapes) and disease modeling. Current projects examine ecological community structures through Euclidean process distances and pandemic response frameworks. As moderator of the international Morphmet listserv, he facilitates global collaboration in morphometric research. Recent publications demonstrate methodological innovation across epidemiology and ecology , with 2020-2025 works combining serological data, agent-based modeling, and spatial statistics to address vector-borne diseases and pandemic management. His work bridges theoretical computation with real-world public health challenges. Teaching leadership: He designs curriculum for Quinnipiac's Data Science Program and teaches courses including DS 110 (Introduction to Data Science), DS 310 (Algorithms for Data Science), and MA 285 (Applied Statistics), emphasizing career-relevant computational and statistical skills.

Nita BhartiView profile

Associate Professor

• Infectious Disease Dynamics
• Human-Pathogen-Environment Interactions
• Epidemiology
• +5 more

Nita Bharti is an Associate Professor of Biology at the Pennsylvania State University , affiliated with the Center for Infectious Disease Dynamics . She investigates interactions between human behavior, pathogens, and environmental factors to inform public health strategies. Her research spans Epidemiology, Ecology, Anthropology , focusing on disease transmission dynamics and intervention effectiveness . Major scientific awards include the Lloyd Huck Early Career Professorship NSF Dynamics of Coupled Natural Human Systems grant Health and Environment Seed Grant She has pioneered innovative approaches like Mapping mobile phone data with satellite imagery for population tracking Quantifying seasonal population fluctuations via satellite Developing open-access satellite platforms for public health

• Applied Mathematics
• Dynamical Systems
• Nonlinear Dynamics
• +3 more

Antonio Algaba Duran is a Professor at the Higher Technical School of Engineering within the University of Seville , specializing in Applied Mathematics at the Center for Advanced Studies in Physics, Mathematics, and Computing . His research focuses on dynamical systems , nonlinear differential equations , and bifurcation theory , with significant contributions to the analysis of nilpotent singularities , homoclinic/heteroclinic orbits , and chaotic behavior in systems like the Lorenz , Chen , and Lü systems . Education : PhD from University of Seville (1996), thesis on Hypernormal forms and bifurcations in flat and three-dimensional systems , supervised by Emilio Freire Macías and Estanislao Gamero Gutiérrez. Research Highlights : 131+ publications since 1998, including 2 preprints Developed algorithms for normal forms and nonlinear time transformations to analyze canard explosions and homoclinic bifurcations Key work on Z2-symmetric systems , inverse integrating factors , and geometric criteria for centers Collaborators : Cristóbal García, Alejandro J. Rodríguez-Luis, Manuel Merino, Estanislao Gamero, and others. His scientific work spans applications in electronic circuits, biological systems, and physical models, with a focus on structural stability , analytic integrability , and global bifurcations .

• Field Robotics
• Robot Motion Planning
• Aerial Robotics
• +7 more

Guilherme A. S. Pereira is Professor in the Department of Mechanical, Materials and Aerospace Engineering and Adjunct Associate Professor in the Lane Department of Computer Science and Electrical Engineering at West Virginia University's Benjamin M. Statler College of Engineering and Mineral Resources. He directs the Field and Aerial Robotics (FARO) Laboratory and teaches courses including Mechatronics, Robotic Manipulators, and Robot Motion Planning. Education: Ph.D., Computer Science, Federal University of Minas Gerais, Brazil, 2003 M.S., Electrical Engineering, Federal University of Minas Gerais, Brazil, 2000 B.E. (Hons), Electrical Engineering, Federal University of Minas Gerais, Brazil, 1998 Research Focus: Dr. Pereira pioneers motion planning and state estimation for autonomous ground/aerial vehicles. His work spans field robotics for agriculture/forestry, aerial robotics for infrastructure inspection, cooperative robotics for multi-vehicle systems, and space exploration for Venus atmosphere aerobots. Recent innovations include tether-powered drones for 24/7 operations and vector field methods for precise landing in dynamic environments. Publication Trends: His 2023-2025 publications reveal a strategic shift toward energy-aware path planning, multi-resolution UAV mapping for dam/tailings inspection, and genetic algorithms for extreme-environment navigation. Key themes include tension-aware motion planning for tethered systems and behavior tree frameworks for battery-conscious drone operations. Awards: Gold Medal Award from UFMG Engineering School (1998) Advanced Robotics Best Paper Award (2013) Advising & Grants: Dr. Pereira mentors graduate students in robotics research, evidenced by extensive student co-authorship in publications. His work is funded by NASA (Space Robotics Challenge), NSF, and industry partners for applications in lunar resource utilization, mine safety, and agricultural automation. Current projects include Venus aerobot navigation and Oxpecker tethered UAV systems for stone-mine inspection. Research Infrastructure: He leads the FARO Laboratory, which integrates CUDA parallel computing, AWS cloud mapping, and custom drone platforms for real-world testing in mines, forests, and simulated planetary environments.

Fan YangView profile

Assistant Professor

• Data Mining
• Machine Learning
• Trustworthy AI
• +9 more

Fan Yang is an Assistant Professor in the Department of Computer Science at Wake Forest University. He earned his Ph.D. in Computer Science from Rice University under Dr. Xia (Ben) Hu. His industry experience includes roles at J.P. Morgan AI Research, Visa Research, and Meta AI. Research Focus: Trustworthy AI, emphasizing Interpretable Learning and Model Explainability. He aims to make AI systems auditable, ethical, and robust. Applications: Misinformation Detection, Recommender Systems, Health Informatics, and Financial Forecasting. Interdisciplinary Interests: Collaborations with Neurosciences, Psychology, and Linguistics. Scientific Awards: Received CRII award (IIS Division) and R21 award (NCI) for his research initiatives. Teaching: Instructs courses on Fundamentals of Computer Science (CSC 112) and Machine Learning (CSC 374/674).

• Laboratory Animal Medicine
• Veterinary Science
• Animal Health Monitoring
• +4 more

Kerith Luchins is an Associate Professor at the University of Chicago's Animal Resources Center, specializing in laboratory animal medicine and veterinary science. With extensive training in both biology and veterinary medicine, Dr. Luchins focuses on optimizing animal health monitoring systems, facility management practices, and disease prevention protocols in research environments. Dr. Luchins' educational background includes: BA in Biology and French from Washington University in St. Louis (2004) DVM from University of Illinois College of Veterinary Medicine (2008) Internship in Companion Animal Medicine and Surgery at Louisiana State University Veterinary Teaching Hospital (2009) Residency in Laboratory Animal Medicine at Tulane National Primate Research Center (2011) Her research interests center on laboratory animal health monitoring systems, with particular expertise in rodent facility management, environmental health assessment, and disease surveillance methodologies. Dr. Luchins investigates innovative approaches to animal facility operations, including alternative health monitoring techniques that replace traditional soiled bedding sentinels, cost-effective sanitation protocols, and methods to minimize stress during routine facility operations. Her work bridges clinical veterinary practice with operational efficiency in research animal facilities. Analysis of Dr. Luchins' recent publications reveals a strong focus on comparative evaluation of health monitoring systems, with increasing attention to operational efficiency and cost-benefit analysis in laboratory animal facilities. Her research spans diverse subfields including rodent parasitology, cardiovascular effects of medicated diets, environmental impact on animal behavior, and innovative diagnostic techniques for common vivarium pathogens. Dr. Luchins collaborates extensively with colleagues at the University of Chicago, particularly with George Langan, Betty Theriault, Darya Mailhiot, Allison Ostdiek, and Brian Prendergast. Her research team focuses on optimizing laboratory animal facility operations while maintaining the highest standards of animal health and welfare. Dr. Luchins is actively involved in the Animal Resources Center, where she contributes to the Laboratory Animal Veterinary Medicine Training Program. Her work directly impacts facility management practices across research institutions by providing evidence-based recommendations for health monitoring systems, sanitation protocols, and disease prevention strategies.

Nataliia PrykaziukView profile

Professor

• Financial Services
• Banking Systems
• Insurance Systems
• +5 more

Nataliia Prykaziuk is a Professor and Head of the Insurance, Banking and Risk-management Department at Taras Shevchenko National University of Kyiv, Ukraine. She has served at the university since 2006, progressing from Assistant to her current leadership position since 2019. Education: MS in Economics, Taras Shevchenko National University of Kyiv (1998-2004) Ph.D. in Economics, Taras Shevchenko National University of Kyiv (2004-2007) Doctorate in Economics, Taras Shevchenko National University of Kyiv (2008-2018) Professor Prykaziuk's research focuses on financial services market transformation under digitalization, banking and insurance systems, and financial market risk management. Her current work examines strategic vectors for financial services development amid new challenges, including geopolitical factors, regulatory changes, and technological disruption. She investigates how financial institutions can adapt to enhance financial well-being and support socioeconomic development, with particular attention to Ukraine's financial sector. Her publication record reveals a strong analytical approach to financial markets, with increasing emphasis on digital technologies' impact on traditional financial services. Recent work explores AI applications in finance, consumer loan market dynamics, cryptocurrency investments, and climate risk insurance mechanisms. Her research bridges theoretical frameworks with practical policy implications for financial regulation and market development. Professor Prykaziuk serves as an expert for the Ministry of Education and Science of Ukraine (since 2021), evaluating scientific projects of young scientists, and previously served on specialized scientific councils (2020-2021). These roles reflect her standing in Ukraine's academic community and commitment to advancing research quality. Her work has gained particular significance given Ukraine's current geopolitical challenges, providing valuable insights into financial system resilience and adaptation strategies during periods of external shock and uncertainty.

• Macroeconomics
• Fiscal Policy
• Monetary Policy
• +5 more

Vivaldo Manuel Pereira Mendes is an Associate Professor in the Department of Economics at the University Institute of Lisbon (ISCTE-IUL), where he has been teaching since 1998. He is also an Affiliate Member of BRU-Iscte - Business Research Unit within the Institute of Social Sciences and Business Studies. His educational background includes a PhD in Economics from the University of Sussex (1998), a Master's degree in Economics from the University of Sussex (1991), and a Bachelor's degree in Economics from the Higher Institute of Economics and Management - UTL (1987). Mendes has held significant university leadership positions including Vice-Rector (2005-2009), President of the General Assembly (2002-2005), and Director of the Department of Economics (2010-2014). He has taught diverse courses spanning macroeconomics, microeconomics, game theory, monetary economics, and computational economics. His research portfolio demonstrates a clear evolution from theoretical macroeconomics and monetary policy toward computational economics and machine learning applications. Recent publications (2019-2024) show a strong focus on applying deep learning techniques to financial forecasting, particularly examining how data frequency impacts prediction accuracy across global markets. Mendes has published in high-impact journals including Physica A (Q1), European Physical Journal B (Q1), and Economics Bulletin (Q2), with his 2005 paper on controlling chaotic dynamics in economic models receiving 23 Google Scholar citations. He has also contributed to book chapters on spatial econometrics and optimal monetary policy. A committed advocate of open-source software, Mendes actively contributes to the Julia programming language community and maintains a personal website showcasing his academic work and computational projects.

• Population Genetics
• Molecular Systematics
• Conservation Genetics
• +6 more

Michelle Haynie is a Professor in the Department of Biology at the University of Central Oklahoma (UCO), serving as Graduate Advisor since 2014 and Curator of the UCO Museum of Natural History's Frozen Tissue Collection since 2008. She also holds a Research Associate position at the Museum of Texas Tech University. Her educational background includes: B.S. in Zoology from Oklahoma State University (1998) M.S. in Zoology from Oklahoma State University (2000) Ph.D. in Biology from Texas Tech University (2006) Dr. Haynie's research centers on population genetics and molecular systematics in mammalian systems, utilizing genetic markers to address conservation and evolutionary questions . Current projects focus on comparative hybrid zone studies, cryptic species identification, genomic drivers of speciation, and local adaptations, including a small mammal mark-recapture survey at the UCO Selman Living Lab. Her publication record (2006-2025) reveals consistent investigation into genetic diversity of rodents and bats, with emerging emphasis on climate change impacts on disease vectors. Recent work examines Trypanosoma cruzi distribution shifts and host-pathogen dynamics in woodrat-virus systems, demonstrating interdisciplinary integration of conservation genetics, virology, and climate modeling. No major scientific awards or fellowships were documented in the source material. As Graduate Committee Chair and long-term advisor, Dr. Haynie mentors UCO biology graduate students while serving on departmental committees for assessment, awards, strategic planning, and animal care. Her research has secured funding for wildlife disease ecology projects, particularly through collaborations with the Museum of Texas Tech University and Oklahoma conservation agencies. She actively contributes to the Center for Wildlife Forensic and Conservation Studies (CFACS) and Center for Research and Education in Interdisciplinary Computation (CREIC), while leading fieldwork at the Selman Living Lab and advising the Oklahoma Mammal Technical Committee on species conservation status.

• Computational Biology
• Algorithm Development
• High-Throughput Data Analysis
• +5 more

Oliver D. King is an Assistant Professor in the Department of Neurology at the University of Massachusetts Chan Medical School, where he leads research in computational biology focused on facioscapulohumeral muscular dystrophy (FSHD). He also holds appointments in the NeuroNexus Institute and the Morningside Graduate School of Biomedical Sciences Department of Neuroscience, contributing to the institution's Wellstone Program dedicated to muscular dystrophy research. Dr. King received his BA in Mathematics from the University of Hawaii at Manoa, followed by an MS in Computer Sciences and a PhD in Mathematics, both from the University of California, Berkeley. His academic journey included postdoctoral training at Harvard Medical School and the Whitehead Institute before joining the Boston Biomedical Research Institute as a Scientist. He transitioned to academia at UMass Chan Medical School in 2013, first in Cell and Developmental Biology before moving to Neurology in 2016. As a computational biologist, Dr. King specializes in algorithm development and high-throughput data analysis with a primary focus on FSHD. His research investigates transcriptional and epigenetic changes associated with the disease, genetic modifiers of severity, and therapeutic approaches targeting the DUX4 gene. He has developed several computational tools including PLAAC for identifying proteins with prion-like domains, D4Z4caster for FSHD analysis, and RFF for behavioral analysis in animal models. Analysis of Dr. King's publication record reveals a strong interdisciplinary approach that bridges mathematics, computer science, and biomedical research. His work spans computational biology, molecular genetics, and neuroscience, with significant contributions to understanding prion-like domains in neurodegenerative diseases and developing gene therapy approaches for muscular dystrophies. His recent publications demonstrate increasing focus on translational applications of computational findings to therapeutic development. Dr. King leads a multidisciplinary research team within the Wellstone Program at UMass Chan Medical School. His laboratory combines computational approaches with experimental validation, bringing together expertise in bioinformatics, molecular biology, and clinical research to advance understanding of FSHD pathogenesis and develop targeted interventions for this complex neuromuscular disorder.