جست‌وجوی استاد و پژوهشگر

• Circuit modeling
• Electronic circuit simulation
• Machine learning
• +۷ مورد دیگر

Riccardo Trinchero is an Associate Professor at the Department of Electronics and Telecommunications (DET) within Politecnico di Torino. He actively contributes to the College of Electronic, Telecommunications and Physics Engineering as a course instructor and to the College of Computer, Film and Mechatronics Engineering as a member. His research focuses on circuit modeling, electronic simulation, and machine learning applications. Academic Appointments 2025/26: Spectral and machine learning methods for uncertainty quantification (Main Teacher) 2023/24: Electronic Circuit Modeling (Main Teacher) Research Interests Compact dynamical modeling Stochastic circuit analysis High-speed link optimization via ML Electromagnetic compatibility (EMC) PhD Supervision Marco Atlante (since 2024) Nazanin Soleimani (since 2024) Dilyorjon Yuldashev (since 2024) Minzhou Liu (2020-2024) Yuan Yan (2020-2024) Nastaran Soleimani (2019-2023) Research Projects AI4FREIGHT (2025-2029) - Scientific Manager Physical simulation models for grounding contacts (2020-2021) - Scientific Manager Recent Publications 2025: SPICE modeling with ML kernels 2025: Multi-output active learning for PCB uncertainty 2025: Electromagnetic field analysis for transmission lines 2025: Digital twins in train dynamics 2024: Compressed SPICE-ML IC models

• Power Electronics
• Electric Vehicle Power Systems
• AC Motor Drives
• +۶ مورد دیگر

Sobhi Barg serves as an Assistant Senior Lecturer in Power Electronics at Mälardalen University's Department of Computer and Electrical Engineering (DET) in Sundsvall, Sweden. His position within the STC Research Centre focuses on advanced power conversion systems and magnetic component design for electric vehicles and renewable energy applications. Education: PhD in Electrical Engineering from National Engineering School of Sfax (2018) Erasmus Master in Sustainable Transportation and Electrical Power Systems (University of Oviedo, University of Nottingham, Polytechnic Institute of Coimbra) (2015) Master in Electrical Systems from National Engineering School of Tunis (2010) Engineering Degree from National Engineering School of Tunis (2008) His research centers on multi-objective optimization of power electronic systems , with expertise in core loss modeling for high-frequency magnetics, wireless power transfer, and EV power conversion. Recent work demonstrates innovative approaches to planar magnetics using unbalanced-flux techniques and precise core loss calculation for non-sinusoidal waveforms, significantly advancing efficiency in power converter design. Publications since 2019 reveal strong focus on magnetic component optimization and loss modeling , with 50% appearing in IEEE Transactions journals. Key trends include development of empirical core loss models for complex waveforms (2025), novel unbalanced-flux approaches for planar magnetics (2023-2024), and multi-objective GA optimization techniques for flyback transformers (2019). Scientific Recognition: Erasmus Mundus Scholarship-Category A (48,000 Euro) for Master studies in Sustainable Transportation and Electrical Power Systems (2013-2015) Dr. Barg teaches Analog Electronics and Electric Circuits laboratory courses while contributing to the STORE (Electrical Energy Storage) and MDOBC research projects. His work at the STC Research Centre bridges theoretical modeling with practical applications in renewable energy systems and electric vehicle powertrains, emphasizing experimental validation through Seebeck effect measurements and FEA simulations. Current research activities include DC inductor design based on Ampere's Law (2024) and continued refinement of core loss models for next-generation power converters, with significant implications for high-efficiency energy conversion in sustainable transportation systems.

Sampath Kannanمشاهده پروفایل

استاد

• Algorithmic Fairness
• Combinatorial Algorithms
• Program Reliability
• +۳ مورد دیگر

Sampath Kannan is the Henry Salvatori Professor in the Department of Computer and Information Science at the University of Pennsylvania's School of Engineering and Applied Science. His research spans Algorithmic Fairness Combinatorial Algorithms Program Reliability Streaming Computation Computational Biology . His work focuses on theoretical computer science and its applications, particularly in ensuring correctness through program analysis, developing algorithms for massive data sets, and addressing bioinformatics challenges like evolutionary tree reconstruction. Recent publications highlight interdisciplinary efforts in oncology (2025) , game theory (2024) , and fairness in machine learning (2023) . Notable awards include Fellow of the AAAS (2019) Test of Time Award, Runtime Verification (2019) Penn India Research and Engagement Fund (2018) Fellow of the ACM (2013) ACM SIGACT Distinguished Service Award (2012) . He has also received advising recognitions like the Outstanding Faculty Advising Award (2005) and Ford Foundation 'Best Advisor' (2004). He has advised PhD students Eshwar Ram Arunachaleswaran Yiqiao Bao Anubhav Baweja and taught courses including CIS 677 - Advanced Topics in Algorithms & Complexity and GCB 537 - Advanced Computational Biology .

Bucher Matthiasمشاهده پروفایل

استاد

• Analog Integrated Circuit Design
• RF Circuit Design
• Semiconductor Device Physics
• +۳ مورد دیگر

Matthias Bucher is a Professor at the Department of Electronics and Computer Architecture , School of Electronic & Computer Engineering , Technical University of Crete, Greece. His research focuses on analog/RF integrated circuit design, compact modeling, and semiconductor device physics. Education : PhD (1999) and MSc (1993) in Electrical Engineering from EPFL, Switzerland Research Areas : EKV3 MOSFET compact modeling, RF characterization, nanoscale CMOS, and high-voltage device modeling Courses Taught : Electronics II, Analog CMOS Circuit Design, Special Topics in Analog CMOS Circuit Design His work emphasizes compact modeling for RF and analog circuits, with applications in nanoscale devices and radiation-hardened electronics. Recent publications highlight open-source PDK initiatives, Verilog-A standardization, and noise modeling in advanced transistors. He leads the Electronics Laboratory at TUC and collaborates with microelectronics companies. Bucher is a member of IEEE and the Technical Chamber of Greece, with over 45 publications and two book chapters to his credit.

• Electrical Engineering
• Electromagnetic Processes
• Electromechanical Systems
• +۳ مورد دیگر

Serhiy Mykhailovych Tykhovod is an Associate Professor and Head of the Department of Electrical Machines at the Electrotechnical Faculty of Zaporizhzhia Polytechnic National University. With a Doctor of Technical Sciences degree, he has been actively contributing to the university since 1986. His academic career spans several decades of teaching and research in electrical engineering disciplines. Dr. Tykhovod's research focuses on modeling of electromagnetic and electromechanical processes, with particular emphasis on transient phenomena in transformers and electrical circuits. His work bridges theoretical electrical engineering with practical applications, developing innovative computational methods for analyzing complex electromagnetic systems. His research has resulted in numerous publications and a textbook on transformer modeling using magnetoelectric equivalent circuits. His scholarly output demonstrates consistent focus on transient process analysis, magnetoelectric modeling, and computational methods in electrical engineering. The research shows progression from fundamental theoretical work to practical applications in transformer and converter systems, with increasing sophistication in numerical methods and computational approaches over time. Badge 'Excellent Educationist of Ukraine, 3rd degree' Dr. Tykhovod has taught key electrical engineering subjects including Theoretical foundations of electrical engineering, General electrical engineering, and Theory of electrical circuits. His academic leadership as department head has shaped electrical engineering education at the university for many years. While specific grant information isn't provided, his extensive publication record suggests successful research funding throughout his career. As Head of the Department of Electrical Machines, he leads academic and research activities focused on electrical machinery, transformer systems, and electromagnetic processes. His department likely serves as a center for both theoretical and applied research in electrical engineering at Zaporizhzhia Polytechnic National University.

• Electromagnetics
• Numerical Methods in Electrical Engineering
• Measurement Uncertainty Analysis
• +۳ مورد دیگر

Srđan Divac is a Teaching Assistant at the Department of General Electrical Engineering and Electronics within the Faculty of Technical Sciences, University of Kragujevac . He earned his PhD in 2025 (average grade: 9.88) after completing his master's (2018, grade: 10) and bachelor's (2017, grade: 9.67) studies at the same institution. His research focuses on: Numerical methods in electromagnetics Measurement uncertainty analysis for electrical machines Dynamic hysteresis modeling in ferromagnetic materials Harmonic interpolation techniques for nonlinear circuits Instantaneous magnetisation power analysis Equivalent circuit parameter estimation Key article trends include simulation of magnetic hysteresis loops, electromagnetic computation for power systems, and advanced modeling of ferromagnetic and permalloy materials under varying excitation frequencies. His work appears in journals like Applied Sciences and Energies , as well as conferences such as IcETRAN and PES .

Milan Marjanovićمشاهده پروفایل

استادیار

• Thermal Engineering
• Thermoenergetics
• Renewable Energy
• +۷ مورد دیگر

Milan Marjanović is an Assistant Professor at the Department of Mechanical Engineering, Faculty of Technical Sciences in Čačak, University of Kragujevac. Holding an M.Sc. in Mechanical Engineering, he teaches Thermodynamics, Applied Thermodynamics, Renewable Energy Sources, and Machine Elements. His research focuses on Thermal Engineering, Thermoenergetics, and Renewable Energy systems. Born 1990 in Užice Completed primary/secondary education in Požega Faculty of Mechanical Engineering and Civil Engineering, Kraljevo (2012) Master's in Energy Engineering (2014) Research spans biomass combustion optimization, solar energy systems, and hydraulic simulation tools. Active in academic projects like the national PRIZMA 2023 initiative for Active Condensation Hybrid Systems. Key publications include work on: Biomass-fired district heating efficiency AI-driven solar energy prediction models Hybrid photovoltaic-thermal collector testing Industry 4.0 curriculum development for Mechatronics Scientific contributions appear in journals like Case Studies in Thermal Engineering and conferences including COAST 2024. Awards include Ministry scholarships and 'Mašinijada' competition victories. Collaborates with industry partners on mechanical testing equipment development.

Nima Honarmandمشاهده پروفایل

استادیار

• Computer Architecture
• Parallel Computing
• Operating Systems
• +۳ مورد دیگر

Nima Honarmand is an Assistant Professor in the Department of Computer Science at Stony Brook University, where he co-directs the Computer Architecture Stony Brook (COMPAS) Lab . His research focuses on computer system design , particularly parallel computer architecture and operating systems . Education : Ph.D. in Computer Science from University of Illinois at Urbana-Champaign under Josep Torrellas. His work addresses challenges in deterministic replay of parallel programs to simplify debugging on multi-processor systems. Current research explores memory fencing, consistency models, and architectural extensions for reproducibility. Recent publications span conferences like ASPLOS, ISCA, PACT, and POPL, with emphasis on parallelism constraints , memory hierarchy optimization , and fault-tolerant systems . Awards include Best Paper at PACT 2011 and Best Paper Candidate at VTS 2007 . Teaching : Courses include Computer Architecture (CSE 502) and Operating Systems (CSE 306/CSE 506). Email : nhonarmand@cs.stonybrook.edu

Amarendra Kumar Sarmaمشاهده پروفایل

استاد

• Quantum Optomechanics
• Quantum Entanglement
• Circuit Quantum Electrodynamics
• +۷ مورد دیگر

Dr. Amarendra Kumar Sarma is a full Professor in the Department of Physics at the Indian Institute of Technology Guwahati (IIT Guwahati), where he has been faculty since 2007 and Professor since 2018. He leads the Theoretical Quantum Optics and Quantum Technology Group, focusing on frontier areas of quantum science including quantum optomechanics, entanglement, and nonlinear photonics. His research explores quantum technology through multiple interconnected domains: Quantum Hybrid Systems: Integrating superconducting qubits with optomechanical elements for quantum transduction and sensing Nonlinear Dynamics: Soliton physics, PT-symmetric optics, and ultrafast switching in waveguides Quantum Control: Entanglement generation, mechanical squeezing, and quantum synchronization techniques Quantum Metrology: Overcoming standard quantum limits for force sensing using electro-optomechanical approaches Analysis of his 15 most recent publications (2018-2025) reveals strong emphasis on hybrid quantum systems (60% of works), with particular focus on quantum-classical interfaces for sensing applications. PT-symmetry and nonlinear dynamics constitute 30% of output, while quantum information fundamentals comprise 10%. Machine learning integration emerges as a new frontier in quantum control methodologies. He actively mentors researchers including 7 current PhD students and 12 former advisees. Notable grants include: STARS-2 project: 'Exploring Hybrid Circuit QED Systems for Quantum Technology' (2024-2027) SERB MATRICS: 'Soliton Dynamics in PT-Symmetric Models' (2020-2023) DST Fast-track: 'Parity-time Symmetry in Nonlinear Optics' (2014-2017) The Quantum Optics and Quantum Technology Group develops theoretical frameworks for experimental quantum implementations, maintaining collaborations with international institutions in quantum materials and device physics.

• Nonlinear Dynamics
• Bifurcation Theory
• Piecewise Smooth Systems
• +۷ مورد دیگر

Professor Viktor Avrutin is an extraordinary professor (Apl. Prof.) at the University of Stuttgart, Germany, affiliated with the Institute for Systems Theory and Automatic Control. He holds a Dr. rer. nat. habil. degree in Computer Science from the University of Stuttgart, where he was appointed as an extraordinary professor in 2020 after obtaining his Privatdozent status in 2011. Avrutin completed his academic journey with a B.Sc. from St. Petersburg State Polytechnical University (1992), an M.Sc. in Computer Science with Mathematics from the University of Stuttgart (1997), and a Ph.D. from the University of Stuttgart (2003) with a thesis on piecewise-smooth dynamical systems. His research focuses on nonlinear dynamics with particular emphasis on bifurcation theory for piecewise smooth systems, border collision and homoclinic bifurcations, low-dimensional chaos, and bifurcations of chaotic attractors (crises). He also investigates numerics, simulation software, algorithms, and neural networks. His work spans multiple disciplines including electrical engineering (power converters and inverters), mechanical systems (vibration machines), biological modeling (Goodwin's oscillator), and ecological systems (predator-prey models). Analysis of his recent publications reveals a consistent focus on piecewise smooth dynamical systems, with particular attention to border collision bifurcations, chaotic attractors, and their transformations. His research demonstrates strong interdisciplinary applications, connecting theoretical mathematics with practical engineering problems in power electronics, mechanical systems, and biological modeling. The recurring themes across his work include the study of complex nonlinear phenomena in systems with discontinuities, transformation of attractors, and the interplay between deterministic and stochastic elements in nonlinear systems. Professor Avrutin teaches courses including Nonlinear Dynamics and Chaos Theory I (summer term), Dynamics of Nonsmooth Systems, and Nonlinear Dynamics and Chaos Theory II (winter term) at the University of Stuttgart.

• Electronic Components
• Circuit Design
• Sensor Systems
• +۵ مورد دیگر

Prof. Dr.-Ing. Volker K. S. Feige is a Professor at the Faculty of Electrical Engineering & Information Technology at Düsseldorf University of Applied Sciences (Hochschule Düsseldorf), where he has been teaching since March 2012. He teaches Electronic Components, Circuit Design, Sensor Systems & Signal Processing, and Manufacturing Measurement and Testing Technology. His research focuses on non-destructive testing methods using electromagnetic Terahertz waves, enabling more resource-efficient and sustainable manufacturing processes. Since August 28, 2023, Prof. Feige has also served as a member of the University Council of Düsseldorf University of Applied Sciences. Education: Vocational training as Energieelektroniker - Betriebstechnik (1988-1992) College entrance qualifications and bridge courses (1992-1993) Diploma in Electrical Engineering, Bergische Universität Wuppertal (1993-1998) Doctorate at Bergische Universität Wuppertal (2003) Prof. Feige's research centers on Terahertz technology applications for non-destructive testing and quality control. His work spans electronic components, circuit design, sensor systems, and signal processing with practical applications in corrosion protection of steel bridges and quality control of industrial coatings. He has developed innovative approaches for multilayer thickness measurements using reflection-mode Terahertz time-domain spectroscopy, particularly for challenging industrial environments. His research addresses real-world manufacturing challenges through precise, non-contact measurement techniques that improve sustainability and resource efficiency. Analysis of Prof. Feige's publication history reveals a clear research evolution from fundamental Terahertz measurement techniques toward integrated industrial solutions. His recent work increasingly incorporates robotics and machine learning for automated quality inspection systems, with growing applications in additive manufacturing and 3D printing. The consistent theme across his publications is the development of practical non-destructive testing methods that solve specific industrial challenges, particularly in coating thickness measurement across various substrates and multi-layer systems. Research Leadership: Principal investigator for multiple Terahertz technology research projects Contributor to VDI/VDE guidelines on Terahertz systems standardization Collaborator with industry partners on practical measurement solutions Lead on patents for 3D interferometric position measurement systems Prof. Feige directs research in the Electronics Laboratory at Düsseldorf University of Applied Sciences, where his team develops semi-mobile robotized Terahertz systems for automated quality inspection. His research group maintains strong industry connections, translating fundamental measurement technology into practical industrial applications for non-destructive quality control in manufacturing processes.

Charan Ranganathمشاهده پروفایل

استاد

• Human Memory
• Executive Control
• Neuroimaging
• +۷ مورد دیگر

Charan Ranganath is a Professor in the Department of Psychology at the University of California, Davis, and director of the Dynamic Memory Lab. He is affiliated with the UC Davis Center for Neuroscience and the Center for Mind and Brain, focusing on human memory and executive control using neuroimaging, electrophysiology, and behavioral methods. His research explores the neural basis of memory, including roles of the prefrontal cortex, medial temporal lobes, and hippocampus in working and long-term memory. Education: Ph.D., Clinical Psychology, Northwestern University M.S., Clinical Psychology, Northwestern University B.A., Psychology, University of California, Berkeley Ranganath’s research spans hippocampal-cortical interactions, curiosity-driven memory enhancement, schizophrenia-related memory deficits, and computational models of memory systems. His work reveals overlapping prefrontal and medial temporal lobe activity in memory tasks and investigates how stress, aging, and neuromodulation affect memory dynamics. His research trends emphasize episodic memory , relational memory , neural oscillations , cortico-hippocampal networks , curiosity-driven learning , and clinical applications in mental illness. Scientific Awards: Guggenheim Fellowship Leverhulme Trust Visiting Professorship Laird Cermak Award Samuel Sutton Award Chancellor’s Fellow award Young Investigator Award (Cognitive Neuroscience Society) National Security Science and Engineering Faculty Fellowship (2015) He has secured grants from the Department of Defense, National Institute of Mental Health, and private foundations. His lab collaborates with Andy Yonelinas on recognition memory and with others on field potentials in hippocampal studies. He teaches Human Learning, Cognitive Neuroimaging, and Current Research in Psychology.

Behzad Abdolmalekiمشاهده پروفایل

استادیار

• Cryptography
• Post-Quantum Cryptography
• Zero-Knowledge Proofs
• +۷ مورد دیگر

Behzad Abdolmaleki is an Assistant Professor and member of the Security of Advanced Systems research group at the University of Sheffield . He focuses on cryptographic schemes in post-quantum and quantum settings, with applications to zero-knowledge proofs, cryptocurrencies, and concurrent systems. Previously, he held postdoctoral and senior researcher roles at the Max Planck Institute for Security and Privacy (MPI-SP) and the University of Tartu , and visited institutions like the AIT Austrian Institute of Technology and Friedrich-Alexander University of Erlangen-Nuremberg . Research Interests include constructing secure cryptographic protocols, with a focus on post-quantum foundations, zero-knowledge proofs, blockchain technologies, and universally composable security models. His work bridges theoretical cryptography with practical applications in secure systems. Scientific Awards Best Paper Award at CANS 2021 One of Three Best Papers at ASIACRYPT 2017 Grants DIDShield : A Privacy-Centric Approach to Digital Wallet Security (Innovate UK, 04/2025–07/2025, £22,757, as PI) Academic Services Program Committee member at IACR CiC (2025), ISDIA (2024), ASIACRYPT (2023), and others.

Théodore Cherriereمشاهده پروفایل

پژوهشگر

• Topological Optimization
• Electrical Machines
• Actuators
• +۳ مورد دیگر

Théodore Cherriere is a researcher at the Laboratory of Electrical and Electronic Engineering in Paris, specializing in topological optimization of electrical machines and actuators. His work focuses on advanced computational methods for designing rotating machines, magnetic circuits, and multi-material systems. Research Interests : Topological optimization of magnetic devices Finite element analysis for electrical machine design Multimaterial filtering techniques Magneto-mechanical interactions Density-based optimization methods Nonlinear material behavior modeling Key Article Trends : His recent publications emphasize multimaterial design strategies, geometric optimization without initial constraints, and novel filtering techniques to enhance magnetic flux efficiency in permanent magnet synchronous machines and reluctance motors.

• Hardware Security
• Embedded Systems Security
• Physically Unclonable Functions (PUFs)
• +۷ مورد دیگر

Jean-Luc Danger is a Professor at TELECOM Paris where he currently heads the Digital Electronic Systems Research Group. He is affiliated with the Secure and Safe Hardware (SSH) Research Team within the Information Processing and Communication Laboratory (LTCI). With a career spanning over three decades in academia after 12 years in industrial research at PHILIPS and NOKIA, Professor Danger has established himself as a leading expert in hardware security and cryptographic implementations. Professor Danger received his degree in electrical engineering from SUPELEC in 1981 before embarking on his industrial career. His academic journey began in 1993 when he joined TELECOM Paris, where he has since made significant contributions to the field of hardware security. His educational background in electrical engineering provided the foundation for his later specialization in secure hardware design and analysis. Professor Danger's research primarily focuses on embedded systems security , physically unclonable functions (PUFs) , side-channel attacks and countermeasures , and fault injection techniques . His work bridges the gap between theoretical cryptography and practical hardware implementations, addressing critical security challenges in modern computing systems. His research has evolved from foundational work on cryptographic algorithms to more recent investigations into hardware Trojans, aging effects on security primitives, and automotive security systems. Professor Danger has been particularly influential in developing methodologies for analyzing and protecting against electromagnetic fault injection attacks and side-channel information leakage. His extensive publication record demonstrates a consistent focus on hardware security challenges, with recent work showing increased attention to automotive security systems, machine learning applications for intrusion detection, and reliability issues in security primitives affected by aging and process variations. The trajectory of his research shows a natural progression from pure cryptographic implementations to more holistic security approaches that consider the entire hardware stack and its vulnerabilities. Through his leadership of the Secure and Safe Hardware research team, Professor Danger has fostered a collaborative environment that bridges theoretical security research with practical hardware implementation challenges. His work has contributed significantly to the development of standardized methodologies for evaluating hardware security and has influenced both academic research and industry practices in secure hardware design.