Find Academic Supervisors

• Thermodynamics
• Quantum Mechanics
• Heat Conduction
• +5 more

Ferenc Márkus serves as an Associate Professor in the Department of Physics at the Faculty of Science, Budapest University of Technology and Economics. His office is located in room F III. 2F 22, and he is contactable via email at markus.ferenc@ttk.bme.hu and telephone +36 1 463 4182. His academic focus centers on theoretical physics with emphasis on thermodynamic systems and quantum phenomena. His research spans critical areas including: Non-equilibrium thermodynamics of dissipative systems Quantization procedures for damped oscillators and mechanical waves Lagrangian and Hamiltonian formulations in thermal processes Symmetry breaking in Klein-Gordon equations Nanoscale heat transport dynamics Dissipative electrodynamics with thermal coupling Analysis of his 2019-2024 publications reveals a cohesive research trajectory exploring quantum-thermodynamic interfaces, particularly in confined systems. Key thematic threads include dynamical phase transitions between diffusive and ballistic regimes, quantization of thermal absorption/emission processes, and repulsive interactions in electrodynamics. His work consistently bridges classical mechanics with quantum frameworks through innovative Lagrangian approaches. No scientific awards were documented in the source materials. While student advising relationships and grant funding details remain unspecified in available records, his publication record indicates active mentorship through co-authored research. The absence of explicit grant mentions suggests potential institutional or national funding sources typical for Hungarian academic research. No dedicated laboratories or formal research teams were referenced, though his theoretical work implies collaboration within the Department of Physics community.

Baishakhi RayView profile

Associate Professor

• Software Engineering
• Security
• Artificial Intelligence
• +1 more

Baishakhi Ray is an Associate Professor of Computer Science at Columbia University's School of Engineering and Applied Science. Her work focuses on the intersection of AI, Software Engineering, and Security. She received her Ph.D. from the University of Texas, Austin and has established herself as a leading researcher in software engineering with AI applications. Dr. Ray's educational background includes a Ph.D. from the University of Texas, Austin. Her academic journey has led to a prominent position at Columbia University where she continues to advance research in software engineering. Dr. Ray's research spans several critical areas at the intersection of software engineering and artificial intelligence. Her work explores how machine learning techniques can improve software development processes, enhance security practices, and address challenges in program analysis. She has made significant contributions to understanding how large language models can be effectively applied to code generation, vulnerability detection, and software testing. Her research has practical implications for improving software reliability and security in real-world applications, particularly in safety-critical domains like autonomous systems. Analysis of Dr. Ray's recent publications reveals a clear trajectory toward leveraging AI for practical software engineering challenges. Her work has evolved from foundational program analysis techniques to cutting-edge applications of large language models in code understanding and generation. A notable trend is her focus on making AI-assisted software development more reliable, secure, and energy-efficient. Her research increasingly addresses the practical limitations of current AI approaches while developing novel methodologies to overcome them. IEEE TCSE Rising Star Award NSF CAREER Award IBM Faculty Award VMWare Faculty Award ICSME Most Influential Paper Award (2023) FSE'17 Distinguished Paper ASE'22 Distinguished Paper ISSTA'23 Distinguished Paper CACM Research Highlights Dr. Ray actively mentors graduate students and has built a productive research group focused on AI-driven software engineering solutions. Her research has been supported by prestigious grants including the NSF CAREER award. She has successfully guided numerous students through their research projects, with several of her advisees making significant contributions to publications in top-tier conferences. Dr. Ray also serves as an Amazon Visiting Academic, bridging academia and industry to address real-world software engineering challenges. Through her leadership in various research projects and collaborations, Dr. Ray has established a dynamic research environment that combines theoretical rigor with practical applications. Her work often involves interdisciplinary collaboration across computer science subfields, particularly connecting software engineering with security and AI research communities.

Mansour KarkoubView profile

Professor

• Robust Control
• Vibration Control
• Robotics
• +2 more

Mansour Karkoub serves as Associate Dean of Accreditation & Assessment at Lamar University's College of Engineering, holding the Michael E. and Patricia P. Aldredge Endowed Chair while serving as Professor of Mechanical Engineering. His academic career spans leadership roles at Texas A&M University, the Petroleum Institute (Abu Dhabi), and INRIA (France), with expertise rooted in robotics and control systems. Education: Ph.D. Mechanical Engineering, University of Minnesota M.S. Mechanical Engineering, University of Minnesota B.S. Mechanical Engineering, University of Minnesota Habilitation to Direct Research (HDR), University of Versailles, France Research Focus: Dr. Karkoub pioneers Robust Control methodologies (H-infinity, adaptive, AI-based), Vibration Control for flexible structures, and Robotics applications spanning medical, inspection, and manufacturing systems. His work on Ground/Underwater Autonomous Vehicles addresses self-driving technologies and mobile robotics, while his Engineering Education research integrates ABET accreditation standards with technology-enhanced learning. Publication Trends: Recent articles (2021-2024) reveal concentrated advancements in neural network-integrated motion cueing algorithms, adaptive fuzzy control for underwater manipulators, and sustainable energy harvesting from vehicle suspensions. His work consistently bridges theoretical control frameworks with real-world applications in autonomous systems, emphasizing uncertainty handling and disturbance rejection. Scientific Recognition: Outstanding Researcher Award (2019, Texas A&M Qatar) Distinguished Achievement Award (2012, Dwight Look College) Best Teacher Award (2012, Texas A&M Qatar) Fellow of ASME, IET, and IMechE IEEE Senior Member Research Leadership: Secured over $12M in funding including a $1.2M 2022 grant for smart vehicle research. Founded and directs the Smart Systems Laboratory at Texas A&M Qatar, mentoring teams focused on autonomous vehicle innovation while leading ABET accreditation initiatives as a commissioner. Laboratory Impact: The Smart Systems Laboratory drives advancements in underwater vehicle manipulators, medical robotics, and energy-efficient transportation through cross-disciplinary collaboration, directly translating control theory into deployable autonomous systems for industrial and medical applications.

Bogdan OSTAHIEView profile

Researcher

• Topological Quantum Systems
• Quantum Transport Theory
• Condensed Matter Physics
• +3 more

Bogdan OSTAHIE is a Scientific Researcher III at the National Institute of Materials Physics (NIMP), Romania, affiliated with the Laboratory of Theoretical Physics and Computational Modeling. His primary research focuses on topological quantum phenomena in condensed matter systems. Education: PhD in Theoretical Physics, University of Bucharest (2018) Master Degree in Condensed Matter Physics, University of Bucharest (2010-2012) Graduate studies, Faculty of Physics, University of Bucharest (2007-2010) OSTAHIE's research centers on quantum transport in topological and low-dimensional quantum structures. His work spans Floquet topological insulators, non-Hermitian quantum systems, edge state engineering, and quantum Hall phenomena. He employs analytical and numerical methods to study spectral properties, transport characteristics, and topological phase transitions in systems ranging from 2D lattices to heterostructures. His recent work demonstrates how symmetry breaking, disorder, and external fields manipulate topological states for potential quantum device applications. Analysis of his publications reveals three dominant research thrusts: (1) Floquet engineering of topological phases (2023-2025), particularly second-order corner states and light-induced topological transitions; (2) Non-Hermitian extensions of topological systems (2021-2022), exploring exceptional points and chiral disorder effects; (3) Foundational work on graphene and phosphorene topological systems (2014-2018), establishing edge state mechanisms for quantum Hall effects. His publications consistently bridge theoretical predictions with experimental signatures like quantum transport measurements. Scientific Recognition: Radu Grigorovici Prize of the Romanian Academy (2016) OSTAHIE leads the project 'Edge states manifestation in non-Hermitian topological systems' (PD-type, 2020-2022), demonstrating active grant funding. His collaborations span international institutions including University of Granada (Spain) and Budapest University of Technology (Hungary). While no formal students are listed, his work appears in premier journals like Physical Review B and New Journal of Physics, indicating significant contributions to theoretical condensed matter physics. His laboratory focuses on computational modeling of quantum structures using tight-binding approaches and non-Hermitian quantum transport formalisms.

• Superconductivity
• Nanotechnology
• Topological Physics
• +4 more

Prof. Dr. Vladimir M. Fomin serves as a Research Professor at the Institute for Integrative Nanoscience (IIN) within the Leibniz Institute for Solid State and Materials Research Dresden. His academic career spans over 15 years with extensive contributions to nanostructured superconductors and topological materials. His research focuses on geometric control of superconductivity in 3D nanoarchitectures , specializing in vortex dynamics, topological transitions, and quantum effects in curved nanostructures. Key areas include superconducting nanotubes, quantum rings, and phonon engineering in nanomembranes. His work bridges theoretical modeling with experimental nanofabrication techniques. Analysis of his 15 most recent publications (2023-2025) reveals dominant trends in topology-driven superconductivity and geometric manipulation of quantum states . The research consistently explores how curvature and topology affect vortex matter, with applications in superconducting electronics and quantum computing. Sub-fields prominently featured include vortex ratchets, Shapiro steps, magneto-polaron resonances, and microwave generation in nanoscale systems. His scientific impact is evidenced by 64 journal papers, 9 contributed book chapters, 95 invited talks across 15+ countries, and 5 monographs. Notable speaking engagements include keynote addresses at IEEE-NANO 2022, K. Alex Müller Workshop (2023), and international seminars from Moscow to Busan. Prof. Fomin actively supervises PhD projects in geometric control of superconductivity and collaborates globally with institutions including Universidad Autónoma de Madrid, Pusan National University, and Argonne National Laboratory. His research group develops advanced simulation frameworks for curved nanostructures while maintaining strong experimental partnerships for nanofabrication and characterization. He leads research on catalytic micro/nanoengines and superconducting vortex matter, with recent work focusing on reconfigurable 3D superconducting architectures and topological transitions in ac/dc-driven systems. Current projects involve quantum interference phenomena in non-ideal mesoscopic rings and phonon spectrum engineering in rolled-up nanostructures.