جست‌وجوی استاد و پژوهشگر

• Computational tomographic reconstructions
• subsurface imaging
• shape/target tracking
• +۸ مورد دیگر

Naren Naik is a Professor in the Department of Electrical Engineering at the Indian Institute of Technology (IIT) Kanpur, specializing in computational tomographic reconstructions and analysis for subsurface imaging and shape/target tracking. His educational background includes: PhD from the Indian Institute of Science (IISc) Bangalore in 2000 M.E. in Electronics and Communication Engineering from IISc Bangalore in 1992 B.Sc. from Bangalore in 1988 Professor Naik's research focuses on development and analysis of reconstruction algorithms for nonlinear tomography , with particular emphasis on shape-based and dynamic tomography, tracking and battlefield surveillance, and numerical solutions to partial differential equations in electromagnetics. His work spans multiple imaging modalities including subsurface imaging with Ground Penetrating Radar (GPR), fluorescence optics, electrical impedance tomography, and photoacoustic tomography. His research bridges theoretical mathematics with practical applications in electromagnetic imaging and target tracking systems, addressing complex inverse problems in computational imaging. His publication record shows a clear progression from electromagnetic tomography to advanced Kalman filtering techniques for target tracking applications. The most recent works focus on wireless sensor networks and maneuvering target tracking, demonstrating his ability to adapt theoretical frameworks to evolving technological contexts while maintaining mathematical rigor in solving inverse problems. His professional recognition includes: Invited presentation at the special session on advances in model based inversion at the 2011 IEEE AP-S International Symposium on Antennas and Propagation Professor Naik maintains an active research program with consistent publication output in high-impact journals and conferences. His work demonstrates strong interdisciplinary collaboration, particularly with researchers in electromagnetics, signal processing, and imaging sciences. His research has significant applications in defense technology (battlefield surveillance), medical imaging, and subsurface exploration systems, contributing to both theoretical advances and practical implementations in these fields. He is based in Office 303A ACES (Advanced Centre for Electronic Systems) at the Department of Electrical Engineering, IIT Kanpur, where he leads research activities in computational imaging and tomographic reconstruction.

Christos Miasمشاهده پروفایل

دانشیار

• Electromagnetic Shielding
• Computational Electromagnetics
• Microwave Engineering
• +۳ مورد دیگر

Dr Christos Mias is a Reader in Electrical and Electronic Engineering at the School of Engineering, University of Warwick, UK. He serves as Director of Studies for the Electrical and Electronic Engineering stream and has held roles such as UK URSI Commission B (Fields and Waves) representative from 2009-2014. His research focuses on electromagnetic shielding, computational electromagnetics, microwave engineering, antennas, periodic structures, and radiowave propagation. Dr Mias' work bridges theoretical advancements with practical applications in antenna design, frequency selective surfaces, and electromagnetic modeling. His research interests emphasize innovative solutions in antenna array analysis, periodic structure optimization, and advanced simulation techniques such as finite element time-domain (FETD) modeling. He has contributed to understanding scattering phenomena, non-reflecting boundary conditions, and molecular vs electromagnetic wave propagation comparisons. Recent studies include railway infrastructure monitoring and critiques of superlensing concepts in plasmonics. Publications highlight advancements in MoM formulations, FSS analysis, and sparse matrix methodologies for boundary condition simulations. His work often integrates computational methods with real-world engineering challenges, such as optimizing antenna performance and improving electromagnetic compatibility in complex environments. Dr Mias advises through his role as Director of Studies, fostering academic excellence in electrical engineering education. His office is located in A325, with advice hours on Fridays 10 AM-12 PM during term time.

Roman Kremsمشاهده پروفایل

استاد

• Quantum Physics
• Machine Learning
• Quantum Chemistry
• +۳ مورد دیگر

Roman Krems is a Professor and Distinguished University Scholar at the University of British Columbia (UBC) in the Department of Chemistry, with affiliations to the Stewart Blusson Quantum Matter Institute. His research focuses on the intersection of quantum physics, machine learning, and chemistry, particularly in quantum materials and quantum technologies such as quantum computing and sensing. Key Roles: Professor at UBC (2013–present), Distinguished University Scholar (2017–present) Education: Ph.D. from Göteborg University (2002), Postdoctoral Fellow at Harvard-MIT Center for Ultracold Atoms (2003–05) Research Interests include: Quantum machine learning (QML) for solving complex physics problems Quantum scattering theory in electromagnetic fields Applications of quantum computing to chemistry Developing machine learning algorithms for quantum dynamics Recent publications highlight advancements in extrapolating quantum observables, Gaussian process models for collision dynamics, and quantum walks in disordered systems. His work bridges theoretical physics, computational methods, and experimental applications in cold molecule research. Scientific Awards include the UBC Killam Teaching Prize (2017), election as Fellow of the American Physical Society (2015), and the Keith Laidler Award (2013). He has held editorial board positions for journals such as Machine Learning: Science & Technology and New Journal of Physics . Research Group members include graduate students and postdocs working on quantum technologies, machine learning, and molecular scattering. He also contributes to outreach through invited talks and seminars at institutions like MIT and Lawrence Berkeley National Laboratory.

Olesya Zhupanskaمشاهده پروفایل

استاد

• Mechanics of Composites
• Structural Composites in Extreme Environments
• Multi-Field Effects (Mechanical, Thermal, Electromagnetic)
• +۱۲ مورد دیگر

Dr. Olesya Zhupanska is a Professor in the Department of Aerospace and Mechanical Engineering at the University of Arizona, where she holds a faculty position and is a member of the Graduate Faculty. Her research focuses on the mechanics of composite materials, especially under extreme multi-field conditions involving mechanical, thermal, and electromagnetic loads. Education: PhD in Mechanics of Solids and Applied Mathematics, Taras Shevchenko National University of Kyiv, Ukraine, 2000 BS/MS in Mechanics and Applied Mathematics (with Highest Honors), Taras Shevchenko National University of Kyiv, Ukraine, 1996 Her research interests span mechanics of composites, impact and damage, micromechanics, multi-field effects, and structural health monitoring, with applications in aerospace, wind energy, and smart materials. She has made significant contributions to understanding lightning strike damage, electrified composites, and thermostructural response of advanced materials. Her work integrates experimental, analytical, and computational methods to solve complex engineering problems. The 15 most recent publications highlight a strong trend in composite materials under electrical and thermal loads, with a focus on damage mechanisms, contact mechanics, and predictive modeling. Her research bridges mechanics, materials science, and electromagnetics, with increasing integration of machine learning for damage detection. Applications span aerospace structures, hypersonic vehicles, and wind turbine blades. Scientific Awards and Honors: DARPA Young Faculty Award (2011) Elsevier Young Composites Researcher Award (2008) ASME/Boeing Structures & Materials Award (2007) Multiple ASC Best Paper Awards National Research Council Senior Research Associateship Award (2022, 2015) Air Force Summer Faculty Fellowships (multiple years) Woman of Impact Award, University of Arizona (2022) Fellow, ASME Associate Fellow, AIAA ASME Dedicated Service Award (2023) Dr. Zhupanska has advised numerous graduate students, many of whom have won prestigious awards such as the DoD SMART Scholarship and NASA Fellowships. Her research has been funded by DARPA, NSF, NASA, AFOSR, AFRL, and industry partners. She has served on technical review boards including ARL and actively promotes engineering education and inclusion through NSF-funded initiatives. She holds leadership roles in professional societies, currently serving as President of the American Society for Composites (ASC) and as a member of the ASME IMECE Steering Committee Senate. She also serves as a Topic Editor for Composites and Advanced Materials and on the editorial board of Applied Composite Materials.

Paul Stevensonمشاهده پروفایل

استادیار

• Biophysics
• Quantum Engineering
• Quantum Sensing
• +۳ مورد دیگر

Paul Stevenson is an Assistant Professor of Physics at Northeastern University's College of Science, leading the Stevenson Group. His research focuses on quantum sensing and biophysical dynamics using solid-state spins, particularly nitrogen vacancy centers in diamond. He develops nanoscale sensors for probing molecular motion and quantum communication technologies. Notably, his work bridges physics, chemistry, and biology, addressing challenges such as magnetism in complex systems and single-molecule imaging. He is a 2023 TIER1 Awardee and collaborates with institutions like Brown University and UC Berkeley. Stevenson's lab explores quantum materials and spintronics, leveraging interdisciplinary approaches to advance quantum hardware and biophysical understanding. His group's innovations include ultrasensitive magnetometers and tools for studying antiferromagnetic ordering. Contact: p.stevenson@northeastern.edu .

Ayhan Günمشاهده پروفایل

دانشیار

• Control Systems
• Mathematical Modeling in Electrical Engineering
• Artificial Neural Networks
• +۱۲ مورد دیگر

Assoc. Prof. Dr. Ayhan Gün is an Associate Professor in the Department of Electrical and Electronics Engineering at Kütahya Dumlupınar University's Faculty of Engineering. With a career spanning over two decades, he has held various academic positions including Research Assistant, Assistant Professor, and currently Associate Professor since 2024. His extensive administrative experience includes serving as Head of the Control and Command Systems Department (2007-2021) and various leadership roles in university-industry collaboration initiatives. Dr. Gün completed his Bachelor's degree at Near East University (1991-1996), Master's at Dumlupınar University (1998-2001), and PhD at Eskişehir Osmangazi University (2001-2007). His research focuses on control systems, mathematical modeling, artificial neural networks, robotics, SCADA, PLC programming, electromechanical systems, nonlinear control, fuzzy logic, optimization techniques, automation, biomechanics, and mechatronics. His recent publications demonstrate a consistent research trajectory in control engineering, with particular emphasis on optimization algorithms applied to quadrotor control, inverted pendulum systems, and electrical motor design. His work bridges theoretical control concepts with practical implementations in robotics and power systems. A significant portion of his research involves applying swarm intelligence and evolutionary algorithms to solve complex control problems. Bilim, Sanayi ve Teknoloji Bakanlığı Kurumsal Kapasitenin Arttırılması (2016) BİLİM SANAYİ VE TEKNOLOJİ BAKANLIĞI Çift Beslemeli İndüksiyon Generatörü Tasarımı ve İmalatı (2016) Dr. Gün has supervised multiple graduate students and managed numerous research projects, including the current 'Robotic Arm Design and Implementation for Patients with Hemiparetic Arms' project. His external roles include serving as an expert witness for judicial institutions, project referee for TÜBİTAK, and publication reviewer for IEEE Transactions. He has also contributed to regional development through his work with Kütahya Governorship's Planning and Development Board.

Rainald Loehnerمشاهده پروفایل

استاد

• Computational Fluid Dynamics
• Numerical Methods
• Grid Generation
• +۷ مورد دیگر

Rainald Loehner is a Distinguished Professor of Fluid Dynamics at George Mason University's Center for Computational Fluid Dynamics. Since 2003, he has led the Center for Computational Fluid Dynamics at George Mason University. He is currently a Hans Fischer Senior Fellow at the Technical University of Munich's Institute for Advanced Study (TUM-IAS) for 2023, hosted by Professors Kai-Uwe Bletzinger and Roland Wüchner in the 'Adjoint-Based System Identification of Large-Scale Structures' Focus Group. Loehner received his Diplom Ingenieur (Maschinenbau) degree from the Technical University of Braunschweig, and his PhD and a DSc in civil engineering from the University College of Swansea, Wales. After teaching at Swansea for a year, he worked at the Naval Research Laboratory in Washington, DC, followed by a research professorship at George Washington University. He joined George Mason University as an associate professor and was promoted to full professor in 1995 and distinguished professor in 2004. With over 35 years of experience, Professor Loehner's research spans the complete pipeline of numerical solvers and simulation tools. His expertise includes pre-processing, grid generation, numerical methods, field solvers, parallel computing, adaptive mesh refinement, fluid-structure interaction, shape optimization, system identification, and computational crowd dynamics. His current work focuses on developing advanced field solvers for compressible and incompressible flows, acoustics, electromagnetic wave propagation, heat and mass transfer, structural mechanics, and fluid-structure interaction. Key application areas include blast mitigation, ship hydrodynamics, blood flow, contaminant transport, and pedestrian safety. Loehner's recent research output (2020-2024) shows a strong trend toward digital twin technology and adjoint-based methods for structural analysis and optimization. His publications focus on high-fidelity digital twins for detecting structural weaknesses, risk assessment in engineering systems, and optimization of sensor placement. His work bridges computational mechanics with machine learning approaches, particularly in system identification and inverse problems, demonstrating how computational methods can solve complex real-world engineering challenges. 2020: Ranked #15119 in the Stanford List of Most Influential Scientists of the World; #8 in Aerospace and Aeronautics 2010: Distinguished International Career Award, Argentine Association of Computational Mechanics 2008: Fellow, International Association for Computational Mechanics 2006: Associate Fellow, AIAA 2005: Honorary Professor, University of Wales Swansea 2005: Advisory Professor, Shanghai Jiao Tong University 2004: Distinguished Professor of Fluid Dynamics, George Mason University 1999: Computational Mechanics Achievements Award, Japan Society of Mechanical Engineering 1993: Doctor of Science in Civil Engineering, University College of Swansea 1979-1983: Studienstiftung des Deutschen Volkes (Top 1% of German Students) Professor Loehner has mentored numerous students through his work at George Mason University and has supervised research in computational fluid dynamics, structural mechanics, and related fields. His research has been supported by various grants from government agencies and industry partners, enabling the development of advanced simulation tools applied in aerodynamics, hydrodynamics, shock-structure interaction, and medical applications. His codes and methods have been widely adopted in industry and academia for applications ranging from aircraft and ship design to medical simulations and urban pathogen transmission modeling. Loehner leads the Center for Computational Fluid Dynamics at George Mason University, which focuses on developing cutting-edge computational methods for fluid dynamics and related multiphysics problems. The center works on strategic application areas including blast mitigation, ship hydrodynamics, blood flow simulation, and pedestrian movement modeling. As a TUM-IAS Fellow, he collaborates with the Chair of Computational Modeling and Simulation at TUM on adjoint-based system identification of large-scale structures, bringing together expertise in computational mechanics and digital twin technology to address complex engineering challenges.

• Optical Physics
• Nanophotonics
• Light-Matter Interaction
• +۵ مورد دیگر

Yi Yang serves as an Assistant Professor in the Department of Physics at The University of Hong Kong (HKU), Faculty of Science, joining the institution in 2022 as an HKU-100 Scholar. His academic journey includes foundational training at Peking University and advanced research at MIT. Education: Bachelor of Science (B.Sc.), Peking University Master of Science (M.Sc.), Peking University Doctor of Philosophy (Ph.D.), Massachusetts Institute of Technology (MIT) Professor Yang's research centers on optical physics and nanophotonics , specifically exploring light-matter interactions with free electrons and synthetic gauge fields. His pioneering work in non-Abelian physics bridges photonic and acoustic systems, while his investigations into free-electron radiation and topological photonics drive innovations in nanoscale electromagnetism. These efforts yield fundamental insights with applications in quantum simulation, novel light sources, and advanced materials engineering. Recent publications (2023-2024) reveal a pronounced focus on non-Abelian phenomena and synthetic gauge fields , evidenced by high-impact papers in Science and Nature . His work consistently integrates theoretical frameworks with experimental validation, establishing new paradigms in photonic flatband resonances and non-Hermitian systems. Scientific Awards: HKU-100 Scholar Professor Yang actively contributes to HKU's research ecosystem through graduate supervision and collaborative projects. While specific grant details aren't public, his publication trajectory indicates substantial research funding supporting his investigations into quantum photonics and nanoscale light-matter interactions. His laboratory operates within HKU's Department of Physics, leveraging specialized facilities in the Chong Yuet Ming Physics Building for experimental nanophotonics research and theoretical modeling of complex optical systems.

Figen S. Oktemمشاهده پروفایل

دانشیار

• Computational Imaging
• Physics-informed Machine Learning
• Inverse Problems
• +۵ مورد دیگر

Figen S. Oktem is an Associate Professor in the Department of Electrical and Electronics Engineering at Middle East Technical University (METU), Ankara, Turkey. Her research focuses on advanced imaging systems and algorithms, including computational imaging, inverse problems, and machine learning applications in signal processing. Ph.D., Electrical and Computer Engineering, University of Illinois at Urbana-Champaign (UIUC) (2014) M.S., Electrical and Electronics Engineering, Bilkent University (2009) B.S., Electrical and Electronics Engineering, Bilkent University (2007) Her work bridges physics-informed machine learning and computational optics, with applications in spectral imaging, radar, and microwave systems. She has also explored Fourier phase retrieval, denoising diffusion models, and real-time MIMO radar imaging. Recent publications highlight trends in phase retrieval using deep learning ( prNet , I2I-PR , DDRM-PR ), 3D MIMO imaging, and compressive spectral imaging. Techniques often integrate plug-and-play regularization, stochastic refinement, and physics-based priors. She can be contacted via email at figeno@metu.edu.tr . Curriculum vitae and publications are accessible through her Google Scholar profile.

Florian Zaussingerمشاهده پروفایل

استاد

• Thermal Convection
• Fluid Dynamics
• Astrophysics
• +۶ مورد دیگر

Prof. Florian Zaussinger is a faculty member at the Faculty of Applied Computer and Life Sciences at Mittweida University of Applied Sciences. His research focuses on thermal convection, fluid dynamics, and numerical simulations in both geophysical and astrophysical contexts. He has contributed extensively to studies on microgravity experiments, including the GeoFlow and AtmoFlow projects conducted on the International Space Station (ISS). University: Mittweida University of Applied Sciences Faculty: Applied Computer and Life Sciences Department: Mathematics Contact: +49 3727 58-1381 | florian.zaussinger@hs-mittweida.de | Building 6, Room 6-131 His research involves advanced numerical modeling of complex fluid systems, including spherical convection, dielectric heating, and double-diffusive processes. He has developed and applied computational tools like the ANTARES code to simulate convection in DA white dwarfs, planetary atmospheres, and Earth's mantle. His work bridges theoretical fluid mechanics with experimental validation in space-based microgravity environments. Recent publications highlight his expertise in thermo-electrohydrodynamic convection, planetary fluid flow analysis, and microgravity-induced instabilities. While the scraped data does not list scientific awards or students directly, his academic profile emphasizes interdisciplinary collaboration with engineering and life sciences, particularly in applied mathematics for fluid dynamics and experimental data processing.

• Computational Fluid Dynamics
• Discontinuous Galerkin Methods
• Finite Volume Methods
• +۶ مورد دیگر

Michael Dumbser is a Full Professor at the University of Trento's Department of Civil, Environmental and Mechanical Engineering. His research focuses on computational fluid dynamics, numerical methods for hyperbolic conservation laws, and high-performance computing. He specializes in developing structure-preserving numerical schemes such as discontinuous Galerkin and finite volume methods for continuum mechanics, relativistic fluid dynamics, and multiphase flows. Teaching responsibilities include courses like Calcolo numerico e programmazione , High-Performance Computing for Multi-Functional Metamaterials , and Metodi numerici per l'ambiente . His work emphasizes thermodynamically compatible formulations and adaptive numerical methods for complex physical systems. Recent research trends involve hyperbolic reformulations of classical models (e.g., Navier-Stokes-Korteweg, Einstein equations), staggered semi-implicit schemes for incompressible flows, and GPU-accelerated algorithms. His publications span topics from geophysical fluid dynamics to relativistic astrophysics, with a focus on maintaining physical conservation principles in numerical implementations. No scientific awards are explicitly listed in the provided information. His advising record is not detailed here, though his courses suggest involvement in student mentorship. Research collaborations include projects on metamaterials and computational geophysics. Current initiatives include developing unified models for earthquake rupture dynamics, non-Newtonian fluid simulations, and adaptive mesh refinement techniques. His lab work involves high-performance computing frameworks like ExaHyPE for large-scale wave propagation studies.

Lynn Kistlerمشاهده پروفایل

استاد

• Plasma Physics
• Space Weather
• Magnetospheric Dynamics
• +۳ مورد دیگر

Lynn Kistler is a Professor in the Department of Physics & Astronomy at the University of New Hampshire (UNH), part of the College of Engineering and Physical Sciences. Her research focuses on plasma physics, space weather, and magnetospheric dynamics, particularly investigating the interactions between the solar wind and Earth's magnetosphere-ionosphere system. She holds a Ph.D. in Physics from the University of Maryland, along with a B.S. from Harvey Mudd College. Dr. Kistler's work emphasizes understanding plasma processes such as ion outflow from the ionosphere, magnetic reconnection, and storm-time magnetospheric evolution. She has led studies using data from missions like the Van Allen Probes, Solar Orbiter, and Cluster, contributing to advancements in instrumentation (e.g., the SWA suite) and computational modeling. Her research bridges observational analysis, theoretical frameworks, and machine learning to address challenges in space weather prediction and plasma dynamics. Key areas of her research include the role of ionospheric ions (O⁺, H⁺) in plasma sheet dynamics, the effects of geomagnetic storms on ring current formation, and the behavior of heavy ions in near-Earth space. She has authored or co-authored over 260 publications, spanning journals like Nature Communications , Geophysical Research Letters , and Journal of Geophysical Research . Dr. Kistler has secured grants and collaborations through initiatives like the NASA Interstellar Mapping and Acceleration Probe (IMAP) and has served as a co-investigator on multiple missions. Her work emphasizes interdisciplinary approaches, combining spacecraft observations with ground-based data and numerical simulations to unravel the complexities of Earth's space environment.

Nikolaos Nikiforakisمشاهده پروفایل

استاد

• High Performance Computing
• Numerical Algorithms
• Computational Fluid Dynamics
• +۴ مورد دیگر

Prof Nikolaos Nikiforakis is a Professor at the University of Cambridge, leading the Laboratory for Scientific Computing at the Cavendish Laboratory. He holds roles including Director for Academic Programmes of the Centre for Scientific Computing, Course Director of the MPhil in Scientific Computing, and Deputy Director of the EPSRC Centre for Doctoral Training in Computational Methods for Materials Science. He is also a Fellow and Director of Studies in Mathematics at Selwyn College, Cambridge. He directs The Gianna Angelopoulos Programme for Science Technology and Innovation. He holds a BSc in Aeronautical Engineering from the University of Manchester, followed by an MSc in Aerospace Propulsion and a PhD in 'Evolution of Detonation Waves' from Cranfield Institute of Technology. His postdoctoral research at the University of Cambridge’s Department of Chemistry focused on computational models for stratospheric ozone depletion. He later founded the Laboratory of Computational Dynamics at the Department of Applied Mathematics and Theoretical Physics before joining the Cavendish Laboratory in 2008. His research focuses on numerical algorithms and High Performance Computing for multi-physics simulations involving complex systems of nonlinear PDEs. Applications span detonation dynamics, plasma physics, and materials science, with industry collaborations for software development. His work addresses multi-scale, multi-physics problems previously deemed intractable, with practical applications in aerospace, energy, and environmental fields. He leads academic programmes in scientific computing and supervises doctoral research through the EPSRC CDT. His contributions bridge fundamental science and industrial innovation, emphasizing computational methods for materials and fluid dynamics.

Efthimios S. Skordasمشاهده پروفایل

دانشیار

• Geophysics
• Seismicity Analysis
• Natural Time Analysis
• +۳ مورد دیگر

Efthimios S. Skordas is an Associate Professor of Experimental Solid State Physics at the Department of Physics, National and Kapodistrian University of Athens. Born in Lefkada, Greece in 1960, he holds a Mathematics degree (1984) from the University of Crete and a Doctorate (1992) from Uppsala University, Sweden. His research focuses on seismicity analysis through the lens of natural time analysis, complex systems, and non-extensive statistical mechanics. University of Crete (1984, Mathematics) Uppsala University (1992, Doctorate) His work demonstrates deep expertise in earthquake prediction, detection of pre-seismic anomalies through geoelectric/magnetic field variations, and entropy dynamics under time reversal. Recent publications highlight applications of natural time analysis to diverse domains including cardiovascular health monitoring. He has authored over 120 peer-reviewed publications and two monographs, with an h-index of 32. Skordas' research bridges geophysics with interdisciplinary applications, showing particular emphasis on entropy fluctuations, order parameter analysis, and multi-scale seismicity patterns. His laboratory contributes to understanding the physical interconnection of seismic electric signals with earthquake dynamics.

Zoran J. Stankovicمشاهده پروفایل

استاد

• Antenna Design and Optimization
• Direction of Arrival (DoA) Estimation
• Artificial Neural Networks in Electromagnetics
• +۷ مورد دیگر

Zoran J. Stankovic is a Full Professor at the Faculty of Electronics, University of Niš, Serbia, in the Department of Telecommunications. He has been an integral part of the institution since earning his PhD in 2007, progressing from Assistant to Associate Professor (2020) and Full Professor (2024). He is actively involved in research, education, and academic leadership. Education: PhD in Telecommunications, Faculty of Electronics, University of Niš (2007) Master's in Telecommunications, Faculty of Electronics, University of Niš (2002) Bachelor's in Electronics and Telecommunications, Faculty of Electronics, University of Niš (1994) His research focuses on applying artificial neural networks to solve complex problems in electromagnetics and wireless systems. Key areas include antenna design optimization , direction-of-arrival (DoA) estimation , microwave cavity modeling , and smart textile antennas . His work bridges machine learning with electromagnetic theory, enabling efficient and adaptive RF system design. The analysis of his recent publications reveals a strong trend in using deep and hybrid neural networks for electromagnetic modeling and signal processing. His research emphasizes real-world applications such as wearable antennas, mobile source tracking, and intelligent antenna systems, often published in high-impact IEEE and Wiley journals. Scientific Awards: Commemorative Plaque from the Yugoslav Society for Microwave Techniques and Technologies (2005) for outstanding scientific results in microwave engineering Advising and Grants: While specific students are not listed, he has supervised numerous academic works. He has participated in 17 research projects (13 national, 4 international including DAAD, NATO, COST) and 8 educational development projects (including ERASMUS+, TEMPUS, WUS). These reflect sustained funding and academic collaboration. Labs and Teams: He is the founder and head of the Laboratory for Antennas and Propagation at the Faculty of Electronics, Niš. He is actively involved in organizing and leading the international conferences TELSIKS and ICEST , serving on their program and organizational committees, demonstrating strong leadership in the academic community.