Find Academic Supervisors

• Fuzzy Set Theory
• Fractional Calculus
• Mathematical Inequalities
• +6 more

Muhammad Bilal Khan is an Assistant Professor at the Department of Electronics and Power Engineering, College of Electrical and Mechanical Engineering, National University of Sciences and Technology (NUST), Pakistan. His research spans mathematical theory and practical applications in wireless communication sensing technology. His primary research interests include Fuzzy Set Theory , Fractional Calculus , Mathematical Inequalities , and RF Sensing Applications in healthcare. His theoretical work focuses on developing new mathematical frameworks for fuzzy-number valued functions, particularly exploring pre-invexity, harmonic convexity, and related integral inequalities. On the applied side, he has made significant contributions to non-contact health monitoring systems using software-defined radio technology for detecting conditions like text neck syndrome, spinal curvature disorders, and breathing abnormalities. Analysis of his 15 most recent publications reveals a dual research trajectory: approximately 60% focus on theoretical mathematical contributions in fuzzy analysis and integral inequalities, while 40% address practical applications of wireless sensing in healthcare. His mathematical work frequently appears in journals like Axioms and Symmetry , while his applied research is published in venues including IEEE Access and Sensors . His notable scientific contributions include developing novel frameworks for (q 1 , q 2 )-Linear Diophantine Fuzzy Sets and advancing the theory of Diamond Intuitionistic Fuzzy Sets. His healthcare applications research has pioneered non-invasive monitoring techniques using RF sensing for elderly fall detection, text neck syndrome diagnosis, and breathing pattern analysis. Dr. Khan maintains active collaborations with researchers across multiple institutions, particularly working with Mohamed S. Soliman (13 joint publications), Muhammad Aslam Noor (12 publications), and Savin Treanta (8 publications) on mathematical theory, while collaborating with Najah AbuAli, Mubashir Rehman, and Xiaodong Yang on healthcare sensing applications.

• Machine Learning
• Image Retrieval
• Data Clustering
• +3 more

Mohammed Lamine Kherfi is a researcher affiliated with Université de Ouargla, Algeria. His work focuses on machine learning, image retrieval, and data clustering with applications in computer vision and optimization. He has collaborated extensively with researchers like Oussama Aiadi, Mebarka Allaoui, and Djemel Ziou. His research bridges theoretical advancements in machine learning with practical applications in areas such as fruit classification, semantic image retrieval, and deep learning models. Key research areas include optimization algorithms (e.g., PSO integration with t-SNE), multi-view learning, and Bayesian methods for image representation. He has contributed to improving clustering techniques, feature extraction, and the development of lightweight neural network architectures. His work often emphasizes efficient and energy-aware solutions for real-world problems. Over 30 publications span prestigious venues like Expert Systems with Applications, IEEE Access, and Multimed Tools Appl. His collaborative network includes institutions in Algeria and international partners, reflecting a global impact in computational intelligence and computer vision.

Ian D. MooreView profile

Professor

• Civil Engineering
• Geotechnical Engineering
• Concrete Materials
• +5 more

Dr. Ian D. Moore is a Professor in the Department of Civil Engineering at Queen's University, Canada. He serves as the Department Head of Civil Engineering and Research Director of the GeoEngineering Centre. His expertise spans geotechnical engineering, non-linear soil-structure interaction, and buried infrastructure. He holds a PhD (1986) and B.E. (1980) in Civil Engineering from the University of Sydney. Research Focus: Dr. Moore specializes in geotechnical engineering, including the behavior of buried pipes (concrete, steel, and thermoplastic), culvert design, soil-pipe interaction, and rehabilitation techniques for corroded pipelines. His work integrates computational modeling and experimental methods. Awards: Former Canada Research Chair in Infrastructure Engineering (Tier 1). Labs/Teams: Director of the GeoEngineering Centre, a leading global research group in geoengineering, collaborating across Queen’s University and the Royal Military College. Grants/Advising: Significant contributions to infrastructure engineering through research grants and leadership in pipeline design and rehabilitation.

Sevda AkarView profile

Professor

• Public Finance
• Fiscal Policy
• Health Expenditures
• +6 more

Sevda Akar is a Professor in the Department of Budget and Financial Planning at Bandırma Onyedi Eylül University, Faculty of Economics and Administrative Sciences. She currently serves as the Head of the Department and has held roles as Deputy Head and Faculty Board Member. Her research focuses on public finance, fiscal policy, health expenditures, and the impact of emerging technologies like AI on public sectors. She has authored/co-authored over 30 books and numerous articles, contributing to global debates on political economy, green development, and migration. Her work emphasizes evidence-based policymaking, particularly in crisis management and sustainable development. Education and Academic Journey: PhD studies and Research Assistant roles from 2009-2015 Academic appointments progressing from Research Assistant (2009-2016) to Associate Professor (2018) and Professor (2023) Research Interests: Public finance mechanisms and fiscal consolidation Healthcare financing and pandemic responses Gender equity in maritime industries Syrian refugee integration challenges AI's role in public administration and healthcare Publications: Her recent articles address AI-driven public sector innovation, post-disaster fiscal recovery (e.g., Kahramanmaraş earthquakes), and gender barriers in male-dominated sectors. She frequently publishes in indexed journals like Journal of Finance Studies and contributes to international conferences on political economy. Awards: Recipient of the Best Paper Award in international academic competitions. Advising & Grants: Supervised master's theses on topics like digital economy budget policies and maritime industry challenges. Lead researcher in projects analyzing female officers' workplace issues. Labs/Teams: Active in editorial boards of journals like International Journal of Business and Economics Research and collaborates with teams on global carbon budget modeling and smart city strategies.

• Power Amplifiers
• Signal Processing
• Radar Systems
• +7 more

Souheil Ben Smida is an Associate Professor at the School of Engineering & Physical Sciences at Heriot-Watt University, affiliated with the Institute of Sensors, Signals & Systems. His research focuses on power amplifiers, signal processing, radar systems, and biomedical applications, with a particular emphasis on integrating neural networks and wireless communication technologies. His work spans areas such as nonlinear systems, 5G technology, and healthcare innovation, leveraging radar and machine learning for non-invasive monitoring. Recent contributions include dual-band radar systems for vital signs detection, low-complexity neural network-based channel estimation, and predistortion techniques for power amplifiers. Key research trends include biomedical applications using radar and neural networks, optimization of communication systems for 5G, and hardware implementations on FPGA platforms. His publications reflect a balance between theoretical advancements and practical applications in electronics, healthcare, and telecommunications. Dr. Ben Smida's expertise contributes to the UN Sustainable Development Goals, particularly in advancing health technologies and sustainable industrial innovation.

• Structural Engineering
• Structural Mechanics
• Finite Elements
• +6 more

Erol Demirkan is a Lecturer at the Department of Civil Engineering, Faculty of Civil Engineering at Istanbul Technical University. His research focuses on structural mechanics, nonlinear behavior of materials and structures, and vibration analysis of beams and plates. He holds a PhD in Structural Engineering from Istanbul Technical University (2014) and has held academic positions since 2015, including Research Assistant and Lecturer roles. Demirkan's work integrates advanced analytical methods with computational tools like artificial neural networks for structural analysis. Education: PhD in Structural Engineering, Istanbul Technical University (2014) MSc in Structural Engineering, Istanbul Technical University (2012) BSc in Civil Engineering, Istanbul University (2009) BSc in Civil Engineering, Balikesir University (2006) Research interests include non-local elasticity, buckling analysis of nanobeams, and finite element modeling of insulating glass units. His recent work explores hybrid analytical-machine learning approaches for vibration analysis of functionally graded materials. Professional memberships include the TMMOB Chamber of Civil Engineers since 2009. Administrative roles include membership in the Civil Engineering Department Promotion Committee (2021–present) and the Scholarship Committee (2015–2020). Current research emphasizes structural stability, composite beam dynamics, and nonlinear plate interactions. He collaborates on projects involving porous beams and ANN validation for engineering systems.

• Social Network Analysis
• Financial Markets
• Innovation Dynamics
• +3 more

Federica Bianchi is a Researcher at the Institute of Computing at Università della Svizzera italiana (USI), where she contributes to the SNSF-funded project on 'The Dynamics of Innovation: Latent Space Modelling of Patent Citations'. She holds a PhD in Economics from USI (2019) and an MSc in Economics from the University of Pavia. Previously, she was an Early Postdoc.Mobility research affiliate at the University of Glasgow (2019–2020), focusing on financial markets as evolving relational systems. Education : PhD in Economics, USI (2019) MSc in Economics, University of Pavia Research Interests : Federica's work centers on social networks in economic systems, particularly their role in coordinating activities in financial markets and innovation dynamics. She develops methodological tools to analyze relational structures in continuous time, such as relational event modeling. Her recent focus on patent citations explores innovation as evolving in latent spaces, while earlier work examined micro-relational structures in financial markets. Articles : Her recent publications span pandemic impacts on social networks in public health, financial market dynamics, and methodological advancements in network analysis. Key themes include non-linear effects in interbank systems and the translation of network ties into event-based frameworks. Affiliations : Federica is affiliated with the Social Network Analysis Research Center (SoNAR-C) and has collaborated on projects funded by SNSF and the University of Glasgow. She teaches quantitative methods for social sciences and contributes to interdisciplinary research on relational systems.

Signe KjelstrupView profile

Professor

• Non-equilibrium Thermodynamics
• Energy Optimization
• Transport Theory
• +4 more

Signe Kjelstrup is a Full Professor at the Department of Chemistry, Norwegian University of Science and Technology (NTNU), and holds a part-time professorship at TU Delft. She has held visiting positions at the University of Barcelona, University of Kyoto, University of Leiden, and Medical College of Ohio. Her career includes roles as Assistant Professor at the University of Rochester and NTNU. Her research focuses on non-equilibrium thermodynamics , energy optimization , and transport phenomena . Key areas include: Heat and mass transfer in biological, chemical, and energy systems Molecular dynamics simulations of ion pumps and membrane transport Thermodynamic efficiency in industrial processes and renewable energy Interfacial phenomena and phase equilibria Recent publications (2011-2012) emphasize molecular-scale thermodynamics , with applications in hydrogen purification, clathrate hydrates for energy storage, and biological ion pumps. Work frequently combines theoretical modeling with molecular simulations to analyze energy conversion and transport. Awards and honors: Nansen Foundation Award (1980) Honorary professorships in China, Japan, and Spain Major grants from Research Council of Norway Memberships in Norwegian Academy of Technology, Royal Norwegian Society of Science, and Norwegian Academy of Sciences She leads research on non-equilibrium thermodynamics at NTNU and collaborates internationally on projects involving sustainable energy and membrane technology.

Edwin BurmeisterView profile

Research Professor

• Economic Theory
• History of Economic Thought
• Arbitrage Pricing Theory (APT)
• +3 more

Edwin Burmeister is a Research Professor Emeritus of Economics at Duke University's Trinity College of Arts & Sciences. His career includes roles as Research Professor (1990–2007) and Visiting Scholar (1988, 1990). He holds a Ph.D. in Economics from MIT (1965), an M.A. from Cornell University (1962), and a B.S. from Cornell (1961). His research focuses on economic theory, the history of economic thought, and financial econometrics, particularly the Arbitrage Pricing Theory (APT). He has explored topics like multi-sector models, capital theory, and global economic stability. His work bridges theoretical frameworks with empirical analysis, addressing issues such as price expectations and market efficiency. Recent publications (2008–2016) analyze Sraffa-Samuelson marginalism, Hicks’s capital theory, and APT models. Earlier works (1972–1996) delve into multi-sector economic systems and nonlinear econometric techniques. While no awards are listed, his contributions span academic and applied economics. No advising or grant information is provided. His work is rooted in foundational economic theories, with applications to modern financial markets and dynamic systems.

Jing FuView profile

Lecturer

• Artificial Intelligence
• Machine Learning
• Telecommunications
• +6 more

Dr. Jing Fu is a Lecturer at the School of Engineering, RMIT University in Australia. Her research focuses on applying optimization algorithms and machine learning to telecommunications, wireless networks, and edge computing. She specializes in restless bandit models for dynamic resource allocation, multi-agent coordination, and energy-efficient systems design. Key areas include satellite communications, radar systems, and distributed computing architectures. Her work bridges theoretical operations research with practical applications in 5G/6G networks, UAV communication platforms, and smart sensor networks. She has published extensively on topics like beam scheduling, edge computing offloading strategies, and adaptive wireless protocols. Current supervision interests span neural networks for sensor systems, IoT resource allocation, and next-generation mega satellite networks. Research Themes: AI-driven network optimization, distributed radar systems, energy-efficient edge computing Key Projects: Reinforcement learning-based IoT resource allocation 6G wireless communication with AI integration Optimal beam scheduling for phased array radars Collaborations: Active in multi-disciplinary projects involving telecommunications, aerospace engineering, and computer science Dr. Fu supervises research projects on neural networks for telecommunications, adaptive wireless techniques, and satellite formation flying. She is based at RMIT's City Campus and open to guiding postgraduate research in her areas of expertise.

Natalie HoldView profile

Lecturer

• Sustainable Fisheries
• Fisheries Management
• Marine Biology
• +3 more

Natalie Hold is a Lecturer in Sustainable Marine at the School of Ocean Sciences, Bangor University. Her research focuses on sustainable fisheries management, population genetics of marine species, and collaborative approaches with fishing industries. She holds expertise in fisheries science, ecosystem-based management, and gear technology innovation. Educations: MSc in Marine Environmental Protection, Bangor University (2008) PhD in Marine Biology (2012), focusing on scallop fisheries connectivity Research Interests: Marine resource management Crustacean population dynamics Impact of fishing gear on ecosystems Technological innovations for fisheries data collection Her work emphasizes stakeholder collaboration, evidenced by projects like the EMFF-funded Fisher-Scientist collaboration (£1.2m) and the Bass and Ray Ecology in Liverpool Bay initiative (£86K). She contributes to ICES working groups on crustaceans and scallops. Recent publications highlight advancements in gear selectivity, automated data capture, and ecological modeling of fisheries resources. Natalie actively engages with policy frameworks to translate research into actionable management strategies. Key Projects: EMFF Sustainable Fisheries in Wales (Project Manager) Video and Electronic Fisheries Data Collection (£140K grant) Bass and Ray Ecology in Liverpool Bay (£86K grant) She is affiliated with UK management groups for whelk and lobster fisheries, balancing scientific rigor with industry needs to ensure sustainable marine practices.

Annalisa MarzuoliView profile

Professor

• Quantum Computing
• Quantum Gravity
• Geometric Methods in Quantum Field Theory
• +7 more

Annalisa Marzuoli is a Full Professor at the Department of Mathematics, University of Pavia, specializing in Mathematical Physics. Her research focuses on geometric methods in quantum field theory, discrete models in gravity, quantum computing, and data science. She is affiliated with the Mathematical Physics group and has contributed to advancements in spin networks, quantum triangulations, and topological quantum computing. Her work bridges quantum mechanics and geometry, exploring topics like Ricci flow, non-linear sigma models, and topological invariants. Recent publications emphasize knotted optical fields, Ponzano-Regge models, and quantum angular momentum configurations. Her research also addresses geometric structures in quantum gravity and computational approaches to topological phases. Marzuoli's articles reveal a focus on interdisciplinary applications of geometric and combinatorial techniques to quantum systems. Key themes include spin network dynamics, topological quantum computing architectures, and geometric flows in theoretical physics. Her contributions to mathematical physics underscore the interplay between discrete models and continuous geometric frameworks. She has no listed scientific awards but maintains an active research profile with collaborations in quantum geometry and computational physics. No advising or grant details are provided in the text. Her group explores quantum geometry through projects like spin network quantum circuits and discrete gravity models, reflecting a commitment to advancing foundational theories in mathematical physics.

• Mathematical Logic
• Model Theory
• Set Theory
• +3 more

Ioannis Souldatos is an Assistant Professor in the Department of Mathematics at Aristotle University of Thessaloniki (since 2020). Previously, he held positions at the University of Detroit Mercy (Associate Professor, 2016–2020; Assistant Professor, 2011–2016) and Minnesota State University (Instructor, 2008–2011). He earned his PhD in Mathematics from UCLA (2008), focusing on Mathematical Logic under Prof. Greg Hjorth, with additional degrees including a Master's in Pure Mathematics (UCLA, 2004) and a Master's in Logic, Algorithms, and Computation (Athens, 2002). His research interests span Mathematical Logic, Model Theory, Set Theory, Infinitary Logics, and Abstract Elementary Classes. Notable work includes studies on Hanf numbers, maximal models, and cardinal characterizations in infinitary logics, often intersecting with set-theoretic methods and forcing axioms. He has supervised postdoctoral and postgraduate research projects on topics like descriptive set theory and the effects of set-theoretic assumptions on model properties. His publications frequently explore the boundaries of model existence, joint embedding properties, and the interplay between logic and set theory. Recent work includes contributions to the non-absoluteness of cardinal characterizations and Kurepa tree spectra in infinitary logics. He teaches courses in Mathematical Logic and Set Theory at AUTh.

Anna KrylovView profile

Professor

• Solar energy
• Quantum information science
• Electronic resonances
• +7 more

Anna Krylov is a Professor of Chemistry at the University of Southern California (USC), where she has been a faculty member since 1998. She currently holds the USC Associates Chair in Natural Sciences and has occupied visiting professorships at institutions including DESY in Hamburg, Mainz University in Germany, and the University of Colorado, Boulder. Krylov is a prominent theoretical and computational quantum chemist, with a focus on open-shell and electronically excited species, including metastable states. Education: M.Sc., Moscow State University (1990, with honors) Ph.D., Hebrew University in Jerusalem (1996, summa cum laude) under Benny Gerber Postdoctoral training with Martin Head-Gordon at University of California, Berkeley (1996-1998) Her research involves developing black-box methods to describe multi-configurational wave functions within single-reference formalisms like coupled-cluster and equation-of-motion approaches. She also creates tools for spectroscopy modeling in non-linear and high-energy regimes. Her work investigates radicals and excited species in combustion, solar energy, bioimaging, and quantum information science. Krylov has implemented her theoretical models into practical software, serving as President of Q-Chem Inc., which develops a leading ab initio quantum chemistry software package. She is a Fellow of multiple prestigious societies, including the American Chemical Society, American Physical Society, Royal Society of Chemistry, and AAAS, and has received awards such as the Dirac Medal (WATOC), Bessel Research Award (Humboldt), and the Simons Foundation Fellowship in Theoretical Physics. Scientific Awards and Honors: Fellow, Royal Society of Chemistry Inaugural WiSE Architects of Enduring Change Award (USC) Earle K. Plyler Prize for Molecular Spectroscopy and Dynamics (APS) Simons Fellow in Theoretical Physics (Simons Foundation) Mildred Dresselhaus Award (DESY and Hamburg Univ.) Mainz Guestprofessorship (Mainz University, Germany) Hanna Reisler Mentoring Award (WiSE, USC) Phi Kappa Phi Faculty Recognition Award (USC) Elected Member, International Academy of Quantum Molecular Science Fellow, American Chemical Society INSIGHT Into Diversity Inspiring Women in STEM Award Melon Mentoring Award (USC) Fellow, American Association for the Advancement of Science ACS Physical Chemistry Division Award in Theoretical Chemistry (American Chemical Society) Bessel Research Award (Humboldt Foundation, Germany) Fellow, American Physical Society Agnes Fay Morgan Research Award (Iota Sigma Pi National Honor Society) Dirac Medal (World Association of Theoretical and Computational Chemists) Alfred P. Sloan Research Fellowship Award (Sloan Foundation) CAREER Award (National Science Foundation) Krylov also serves on the editorial boards of Physical Chemistry-Chemical Physics and Wires Computational Molecular Science. She advocates for gender equality in STEM through her maintained directory 'Women in Theoretical and Computational Chemistry, Material Science, and Biochemistry' (iopenshell.usc.edu/wtc) and as a founding member of the Academic Freedom Alliance.

Michele GaliziaView profile

Associate Professor

• Membrane Technology
• Polymer Science
• Gas and Vapor Separation
• +4 more

Michele Galizia is an Associate Professor at The University of Oklahoma's School of Sustainable Chemical, Biological and Materials Engineering within the Gallogly College of Engineering. His research focuses on developing advanced polymer-based materials for gas, vapor, and liquid separations, emphasizing energy-efficient membrane technologies. He holds a Ph.D. (2010) and M.S. (2006) in Chemical Engineering from the University of Bologna, Italy. Research Interests: His work integrates experimental and theoretical approaches to study sorption, diffusion, and transport in polymers, aiming to design membranes for applications like gas/vapor separation, pervaporation, and organic solvent nanofiltration. Key areas include polymer structure-property relationships, stability under chemically challenging environments, and process intensification through membrane integration. Publications: Galizia's recent work explores configurational free volume in polymers, halogen effects on membrane properties, and novel materials for OSN. His articles highlight advancements in understanding transport mechanisms and material design for industrial separations. Awards: He has received notable recognitions, including the ACS-PMSE Early Career Award (2023), NSF CAREER Award (2021), and Presidential Professorship (2023). These honor his contributions to polymer membrane science. Advising & Grants: Galizia mentors students and postdocs, leading funded projects from NSF, ACS-PRF, and OU initiatives. His lab collaborates with institutions like Notre Dame and ARAMCO to advance membrane innovation. Labs & Teams: The Membrane Lab@OU, founded by Galizia, focuses on interdisciplinary research bridging chemical engineering, materials science, and polymer chemistry. It emphasizes training future scientists through rigorous experimental and theoretical work.