جست‌وجوی استاد و پژوهشگر

• Spintronics
• Nanoscale Materials
• Spin Logic Devices
• +۷ مورد دیگر

Luqiao Liu is an Associate Professor in the Department of Electrical Engineering and Computer Science (EECS) at MIT. He is affiliated with the Research Laboratory of Electronics (RLE) and leads the Spintronic Material and Device Group. His research focuses on spin electronics (spintronics), nanoscale materials, and spin-based devices for low-power computing, non-volatile memory, and microwave applications. His work explores spin-orbit interactions in topological insulators, antiferromagnets, and hybrid systems. Liu holds a BS in Physics from Peking University and a PhD in Applied Physics from Cornell University. Before joining MIT in 2015, he worked at IBM’s T.J. Watson Research Center. Notable awards include the Aravind V. Subramanium T.L. Memorial Award and IBM’s Patent Application Achievement Award. His research group investigates spin-orbitronics, aiming to leverage pure spin currents for energy-efficient devices. Recent work includes magnon-magnon coupling in magnetic garnet bilayers, superparamagnetic tunnel junctions for true randomness, and coherent spin dynamics in antiferromagnetic systems. Collaborations span quantum engineering, hybrid magnonic systems, and neuromorphic computing. Education: PhD in Applied Physics, Cornell University BS in Physics, Peking University Awards: Aravind V. Subramanium T.L. Memorial Award (Cornell) IBM Patent Application Achievement Award Labs/Teams: Spintronic Material and Device Group (MIT)

Xiaodong Wenمشاهده پروفایل

پژوهشگر

• Heterogeneous Catalysis
• Materials Science
• Physical Chemistry
• +۱۲ مورد دیگر

Xiaodong Wen is a prominent researcher contributing to heterogeneous catalysis, materials science, and computational chemistry. His work spans fundamental studies of surface dynamics in transition metal nanoparticles and applied research in CO 2 reduction, biomedical applications like maslinic acid's role in colon cancer inhibition, and analytical chemistry innovations such as laser-based nanoparticle identification. Core Expertise : Catalysis (Fischer-Tropsch, electrochemical CO 2 reduction), surface science, DFT/molecular dynamics simulations Recent Trends : Focus on catalyst durability via SiO 2 encapsulation, temperature-driven surface morphology, and machine learning for adsorption prediction Publications highlight interdisciplinary approaches bridging physical chemistry, environmental engineering, and biomedical applications. Key subfields include quantum nanoreactors for coke analysis, multiband laser color modulation, and Fe-based carbide modeling.

Ashok Srinivasanمشاهده پروفایل

استاد

• High-Performance Computing
• Supercomputing
• Massively Parallel Computing
• +۱۲ مورد دیگر

Dr. Ashok Srinivasan is the William Nystul Eminent Scholar Chair and Professor in the Department of Computer Science at the University of West Florida, within the Hal Marcus College of Science and Engineering. He is actively engaged in research, teaching, and professional leadership in high-performance computing and its applications to public policy and health. Education: Ph.D. in Computer Science, University of California, Santa Barbara, 1996 M.S. in Polymer Engineering, University of Akron, 1992 B.S. Tech (Honours) in Chemical Engineering, Regional Engineering College, Tiruchirapalli, 1987 Dr. Srinivasan's research focuses on high-performance computing, supercomputing applications, and simulation-based public policy analysis, particularly in modeling infection spread through air travel. His work integrates computational methods from quantum Monte Carlo, molecular dynamics, and GPU programming with real-world challenges in epidemiology and transportation. He leads Project VIPRA, a multi-institutional effort using supercomputers to analyze public health policies. His recent publications emphasize multiscale and parallel modeling of pedestrian and infection dynamics in transportation systems, leveraging massive computational power for policy-relevant insights. These works span disciplines including computer science, physics, public health, and urban planning. Scientific Awards and Recognitions: Fulbright Senior Research Scholar Best Paper Award at International Conference on Parallel Processing (ICPP) Featured among 12 major breakthroughs using Blue Waters supercomputer Dr. Srinivasan has served as PI or co-PI on approximately $4 million in grants from NSF, DOE, and DoD. He is a founding co-chair of the Student Research Symposium at HiPC, has organized over 15 professional events, and served on more than 40 international conference technical program committees. He actively mentors students and collaborates with researchers at institutions like IBM, Argonne National Lab, and Oak Ridge National Lab. He leads the Project VIPRA research team, which involves interdisciplinary collaboration across universities and domains such as biochemistry, mechanical engineering, and urban planning. His lab focuses on large-scale simulations for public policy impact.

• Complex Systems
• Chaos Theory
• Network Science
• +۱۶ مورد دیگر

Murilo da Silva Baptista is a Reader at the Institute for Complex Systems and Mathematical Biology , within the School of Natural and Computing Sciences at the University of Aberdeen . He has been with the university since 2009, initially as a Senior Lecturer and promoted to Reader in 2014. He is actively accepting PhD students in Physics, Mathematics, and Engineering, and his research is internationally recognized in the fields of complex systems and chaos theory. His research focuses on understanding the relationship between function—such as information processing, collective behavior, and synchronization—and structure in large networked complex systems. He applies analytical methods, data science, nonlinear time series analysis, and machine learning to model systems in neuroscience, smart engineering, and Earth sustainability. He is a leading scientist in chaos-based communication, demonstrating how chaotic signals can enable smart and secure wireless and underwater communication systems. His work includes theoretical developments in phase definition in chaotic oscillators, chaos-based cryptography using Poincaré return times, and the discovery of phenomena like Collective Almost Synchronization, which enhances machine learning for EEG signal prediction. His recent publications (2023–2025) span a wide range of applications, including chaotic image and 3D model encryption, UAV surveillance using chaotic paths, causal feature selection in health systems, modeling neurological disorders, and socio-environmental analysis in Brazil. These works reflect a strong trend toward applying nonlinear dynamics and network science to real-world engineering, biomedical, and societal challenges. Scientific Contributions and Recognition: Proved a conjecture on the analytical calculation of Poincaré first return times using unstable periodic orbits. Contributed foundational work to chaos-based cryptography. Proposed a formula linking mutual information to Lyapunov exponents, supporting the Infomax theory of brain evolution. Discovered the phenomenon of Collective Almost Synchronization in complex networks. Demonstrated that causality is a space-time phenomenon, not purely temporal. Advising and Research Support: He is currently supervising PhD students in Physics, Maths, and Engineering, indicating active mentorship. His research is supported by analytical developments and data-driven modeling. He leads work on optimal wireless chaos communication, synapse modeling, brain network changes post-surgery, and socio-economic causality in Brazil. His collaborations span institutions in the USA, Brazil, Germany, and Portugal. Labs and Research Groups: He is affiliated with the Institute for Complex Systems and Mathematical Biology at Aberdeen, a hub for interdisciplinary research in nonlinear dynamics, network theory, and their applications across physical, biological, and social systems.

Marko Lindnerمشاهده پروفایل

استاد

• Functional Analysis
• Numerical Analysis
• Operator Theory
• +۸ مورد دیگر

Marko Lindner is a Professor at the Institute of Mathematics, Hamburg University of Technology (TUHH), where he holds the Chair of Applied Analysis. His research lies at the intersection of functional analysis and numerical analysis, particularly focusing on the spectral and Fredholm theory of infinite matrices and linear operators. He has led significant research projects funded by the European Union through Marie-Curie grants and has collaborated with institutions and industries including BAE Systems, UK Met Office, and Schlumberger Ltd. Hamburg University of Technology (TUHH), Institute of Mathematics Chair of Applied Analysis Email: lindner@tuhh.de Office: Room 3,094, Building E, Am Schwarzenberg-Campus 3, D-21073 Hamburg His research interests include operator theory, spectral theory, pseudospectra, finite section methods, discrete Schrödinger operators, and applications in mathematical physics and wave scattering. He investigates the stability and convergence of numerical approximation schemes for infinite-dimensional operators, with deep theoretical contributions to limit operator theory and collective compactness. The recent publications highlight a strong trend in spectral approximation of non-selfadjoint operators, particularly Schrödinger-type operators with periodic, aperiodic, and random potentials. His work combines rigorous functional analytic foundations with computational insights, often involving pseudospectra, condition number asymptotics, and subword-based approximation techniques. The integration of numerical methods with spectral theory is a consistent theme, especially in the context of wave propagation and scattering problems. Scientific awards include: Individual Marie-Curie Fellowship (EU, 2005–2007) Individual Marie-Curie Grant (EU, 2008–2011) Marko Lindner has supervised various research projects, particularly in the areas of wave scattering in unbounded domains and the spectral analysis of infinite matrices. His collaborations span applied mathematics, mathematical physics, and engineering, with funding from both public and private sectors. He is actively involved in the academic community, organizing events such as the Operator Theory Workshop and participating in SIAM & GAMM Chapter activities. He leads and contributes to research teams working on applied operator theory, with a focus on developing stable and efficient numerical methods for complex physical systems. His work bridges theoretical operator algebras and practical computational techniques.

• Optoelectronics
• Photonics
• Semiconductor Materials
• +۵ مورد دیگر

Prof. Mattias Hammar is a Professor at the Department of Electrical Engineering, Division of Electronics and Embedded Systems at KTH Royal Institute of Technology. He holds a MSc (1986) and PhD (1993) from KTH's Department of Physics. His research focuses on optoelectronic materials, photonic devices, and nanotechnology. He has led multiple national/international projects in photonics and serves as Program Director for KTH's International Master's in Nanotechnology. He teaches courses in analog/digital electronics, research methodology, and nanotechnology. Research interests include semiconductor lasers (VCSELs, photonic crystal lasers), quantum dot-based photonics, nanomembrane fabrication, and quantum communication technologies. His work spans device fabrication, material characterization, and integration of III-V semiconductors with silicon platforms. Key projects involve developing single-photon sources for telecom applications and hybrid photonic systems. He has advised numerous students through KTH's master's and PhD programs in electrical engineering and engineering physics. His lab focuses on next-gen optoelectronic devices with applications in quantum communication, energy harvesting, and flexible electronics. Recent work includes advances in β-Ga₂O₃-based devices, entangled photon generation at telecom wavelengths, and nanomembrane transfer printing for silicon photonics. He collaborates with institutions like IBM Research and Zarlink Semiconductor, emphasizing industrial-academic partnerships.

Vera Gorfinkelمشاهده پروفایل

دانشیار

• Semiconductor Devices
• Optoelectronics
• Quantum Devices
• +۵ مورد دیگر

Dr. Vera Gorfinkel is an Associate Professor in the Department of Electrical and Computer Engineering at Stony Brook University. Her research focuses on semiconductor devices, optoelectronics, and quantum technologies. Key areas include single photon detection systems, quantum cascade lasers, and advanced biosensors for DNA sequencing. She has contributed to innovations such as high-sensitivity photon counting modules and multi-color fluorescence detection systems. Her work bridges semiconductor physics with biomedical applications, developing instrumentation for ultra-sensitive molecular analysis. Recent research emphasizes quantum devices for secure communication and next-generation sensor technologies. Over her career, she has published extensively on semiconductor device design, optoelectronic systems, and photonics-driven biomedical solutions. Dr. Gorfinkel’s lab focuses on advancing quantum sensing capabilities through novel semiconductor architectures and high-speed detection systems. Her publications reflect a strong emphasis on practical applications in diagnostics, environmental monitoring, and secure data transmission.

Mustak Erhan Yalcinمشاهده پروفایل

استاد

• Field-Programmable Gate Arrays (FPGA)
• Neural Networks
• Image Encryption
• +۷ مورد دیگر

Mustak Erhan Yalcin is a Professor at Istanbul Technical University within the Department of Electronics and Communication Engineering. His research spans hardware security, chaos theory, and signal processing, with a focus on FPGA-based systems, GPS spoofing detection, and image encryption. Key research areas: FPGA, neural networks, hyperchaotic systems, TRNG, GPS security. Recent publications (2023-2024) address encryption designs, spoofing detection, and radiation-tolerant hardware. Active in project leadership, including FPGA-based communication blocks and GPS security systems. Recipient of the 2016 Graduation Design and Project Awards in Electronics-Communication-Biomedical. Contact: yalcinmust@itu.edu.tr

Tamara Gravaمشاهده پروفایل

دانشیار

• Integrable systems
• Nonlinear waves
• Random matrix theory
• +۵ مورد دیگر

Tamara Grava is an Associate Professor at the International School for Advanced Studies (SISSA) in Trieste, Italy, and a Professor at the University of Bristol, UK. Her research focuses on mathematical physics, particularly integrable systems, nonlinear waves, and random matrix theory. She maintains active collaborations between these two prestigious institutions, contributing significantly to both theoretical developments and interdisciplinary applications. Her educational background includes a PhD in Mathematical Physics from SISSA, completed on October 5, 1998, with a thesis titled "On the Cauchy problem for the Whitham equations" under the supervision of Boris Dubrovin. Professor Grava's research spans several interconnected areas in mathematical physics. She investigates integrable systems with random initial data, developing probabilistic Riemann-Hilbert methods to analyze soliton gases and their connections to statistical mechanics. Her work on dispersive nonlinear partial differential equations examines long-time and small-dispersion asymptotics, with particular attention to dispersive shock waves and rogue waves. She also makes significant contributions to random matrix theory, studying special functions, orthogonal polynomials, and their connections to Painlevé equations. Her research often bridges pure mathematics with applications in physics, revealing deep connections between seemingly disparate fields. Analysis of Professor Grava's recent publications (2021-2024) reveals a strong focus on the intersection of integrable systems, random matrix theory, and nonlinear wave phenomena. Her work increasingly explores soliton gases and their statistical properties, connecting microscopic soliton dynamics to macroscopic hydrodynamic descriptions. There's a clear progression toward more complex systems involving random initial conditions and the development of rigorous mathematical frameworks to handle these problems. Her research shows strong interdisciplinary connections between mathematical physics, statistical mechanics, and quantum field theory. Professor Grava actively supervises PhD students including Sacha Grover (Bristol), Dmitrii Rachenkov (SISSA), Xiao-Fan Zhang, Xiaodong Zhu, and Zechuan Zhang. Her editorial work includes service on the boards of Nonlinearity (since 2012), SIAM Journal of Mathematical Analysis (since 2022), Constructive Approximation (since 2023), and the Bulletin and Journal of the London Mathematical Society (starting 2025). She participates in numerous international conferences and workshops, with upcoming engagements in 2025 including events on enumerative combinatorics, integrable systems, and statistical physics at institutions including CIRM, Harvard University, and the MATRIX Institute.

• Wireless sensor networks
• Internet of Things (IoT)
• Air pollution monitoring
• +۱۱ مورد دیگر

Renato Ferrero is an Associate Professor at the Department of Control and Computer Science (DAUIN), Politecnico di Torino (Polito) , with key roles as contact person for training activities and member of the PIC4SeR Interdepartmental Center for Service Robotics . His research spans Wireless Sensor Networks (WSN) , Internet of Things (IoT) , and Environmental Monitoring , supported by competitive grants like AGRITech Spoke 6 (2022-2025) and MIUR funding (2017). He has published extensively on topics including air pollution monitoring , quantum-inspired security , and agricultural technology , with recent work focusing on deep learning for mask/respirator detection and biofertilizer analysis . As an IEEE Access Associate Editor and program committee member for conferences like COMPSAC and RFID-TA, he contributes to academic governance. His teaching includes Computer Architecture (2019-2025) and Ubiquitous Computing (2019-2021) at Polito. He advises PhD students Chiara Panico and Nicola Dilillo , with projects in Data Science , Computer Vision , and AI Life Sciences .

• Quantum Optics
• Superconducting Quantum Computing
• Quantum Entanglement
• +۳ مورد دیگر

Xiaowei Deng is an Assistant Researcher at the Institute for Quantum Science and Engineering at Southern University of Science and Technology (SUSTech), China. His work focuses on quantum optics and superconducting quantum computing, particularly in the experimental analysis of continuous-variable quantum systems and entanglement structures. 2007-2011: B.S. in Optical Information Science and Technology, Shanxi University, China 2011-2017: Ph.D. in Quantum Optics, State Key Laboratory of Quantum Optics and Quantum Photonic Devices, Shanxi University, China Deng's research involves characterizing quantum entanglement in Gaussian states, studying the effects of lossy channels on quantum communication, and exploring multipartite entanglement in photonic systems. His work connects quantum metrology with entanglement criteria via squeezing coefficients and the Fisher information, revealing robustness of entanglement under noise and loss. His publications span topics such as Einstein-Podolsky-Rosen steering, Greenberger-Horne-Zeilinger states, and cluster-state quantum computation. Recent studies analyze multi-mode entanglement across partitions and demonstrate experimental techniques for preserving entanglement under correlated noise. National Scholarship for Doctoral Students (2016) Wang Daheng Optical Award (2017) President's Distinguished Postdoctoral Fellow, SUSTech (2017) Second Prize, National Conference on Quantum Optics (2016) Outstanding Graduate Student, Shanxi University (2017)

• Blockchain technologies
• Quantum Computing
• Artificial Intelligence
• +۷ مورد دیگر

Dr. Ernestas Filatovas is a Senior Researcher and Chief Researcher in the Project at Vilnius University's Institute of Data Science and Digital Technologies (formerly Institute of Mathematics and Informatics), where he has been affiliated since 2013. He leads the Blockchain and Quantum Technologies Group, focusing on cutting-edge research at the intersection of quantum computing, blockchain, and artificial intelligence. Previously, he served as an Associate Professor and Lecturer at Vilnius Gediminas Technical University's Faculty of Fundamental Sciences from 2013 to 2019. Dr. Filatovas earned his Doctor of Technology in Computer Science Engineering from Vilnius University Institute of Mathematics and Informatics in 2012. His dissertation, supervised by Prof. Dr. Olga Kurasova, focused on the interactive solution of multi-criteria optimization problems. His research spans multiple high-impact domains, with particular expertise in blockchain technologies, quantum computing, artificial intelligence, and machine learning. He has pioneered work in quantum blockchain implementations, reproducibility of AI research through blockchain verification, and quantum machine learning applications. His research bridges theoretical computer science with practical applications in financial markets, healthcare, and distributed systems. His extensive publication record—over 50 scientific papers, with more than 25 in Clarivate Analytics-indexed journals—demonstrates consistent productivity and international collaboration. Recent work shows a clear trajectory toward quantum-enhanced AI systems, blockchain-based research verification frameworks, and quantum algorithms for practical problems. Laureate of the 4th LMA Young Scientists' Conference (2014) INFOBALT scholarship 2nd place winner (2014) Lithuanian State Science and Studies Foundation funding recipient (2009, 2010) Recognized as one of Lithuania's most active doctoral students Master's degree with honors (2006) Dr. Filatovas leads multiple significant research projects, including the 2021-2024 project 'Solving the problems of reproducibility of scientific research in the field of artificial intelligence using blockchain technologies' as team leader, and the 2023-2027 project 'Development and validation of quantum machine learning methods using prepared datasets' as Chief Researcher. He has also contributed to international collaborations such as the Spanish-funded 'High Performance Solutions for Modern Scientific Computing Challenges' (2019-2021). His popular science contributions, including the VU news portal article 'Quantum Computing: Who and Why?', demonstrate his commitment to science communication. As a key member of Vilnius University's Blockchain and Quantum Technologies Group, Dr. Filatovas contributes to Lithuania's growing reputation in quantum computing research and blockchain innovation, working closely with international collaborators across Europe.

• Nanophotonics
• Quantum Dots
• Carbon Nanomaterials
• +۳ مورد دیگر

Marco Reale serves as a Research Fellow within the Department of Physics and Chemistry at the University of Palermo, specializing in advanced nanophotonic systems and carbon-based nanomaterials. His academic activities span teaching core physics courses and conducting cutting-edge research in optical phenomena at the nanoscale. His research program centers on: Quantum dot superparticles and wavelength-tunable lasing mechanisms Carbon nanomaterial engineering for photoluminescence enhancement Random lasing phenomena in disordered systems Ultrafast photophysics of distorted nanographenes Hybrid optical structures using nanocarbons Analysis of his 13 recent publications (2022-2025) reveals a dominant focus on carbon nanomaterials (quantum dots, nanographenes) for lasing applications, with significant contributions to understanding surface interactions, plasmonic effects, and femtosecond-scale photophysical processes. His work bridges fundamental nanophotonics with practical applications in optical labeling, random number generation, and energy conversion. Teaching responsibilities include Physics II (6 CFU) for Robotics Engineering students and Physics Applied to Nutrition (2 CFU) for Dietitian training. Office hours are held Mondays 3:00-5:00 PM at the Department of Physics and Chemistry (Via Archirafi 36), or by appointment via the student portal.

Charles Limمشاهده پروفایل

دانشیار

• Quantum Cybersecurity
• Quantum Communications
• Quantum Cryptography
• +۳ مورد دیگر

Dr. Charles Lim is an Associate Professor and NRF Fellow (Class of 2019) at the National University of Singapore, affiliated with the Department of Electrical and Computer Engineering and the Centre for Quantum Technologies. His research focuses on quantum cybersecurity and quantum communications, with a key emphasis on the practical security of quantum cryptography including quantum key distribution and quantum random number generation. His research pioneers real-world quantum cryptographic systems, achieving breakthroughs like the world's longest-distance QKD implementation (Nature Photonics, 2015) and fastest QKD system (Science Advances, 2017). This work transforms theoretical quantum security into high-speed, quantifiably secure cryptosystems for practical deployment. Dr. Lim has received several prestigious awards: NRF Fellow (Class of 2019) Singapore Young Scientist Award (2019) He actively shapes industry standards through ISO QKD framework development and quantum technology consulting, while leading an NRF Quantum Engineering Programme collaboration with Imec to create chip-based quantum cryptographic devices. His work is anchored at the Centre for Quantum Technologies, where he directs international R&D teams advancing quantum cybersecurity hardware and protocols.

Peter Bierhorstمشاهده پروفایل

دانشیار

• quantum information theory
• statistical methods for quantum physics
• device-independent random number generation
• +۲ مورد دیگر

Peter Bierhorst serves as an Associate Professor in the Department of Mathematics at the University of New Orleans. His academic credentials include: PhD in Mathematics, Tulane University MS in Statistics, Tulane University AB in Mathematics, Harvard University Dr. Bierhorst's research integrates probability theory and statistics to advance quantum information science, with seminal contributions to experimental analysis protocols in quantum physics and device-independent cryptographic systems. His investigations extend to geometric frameworks of quantum probability distributions and multipartite nonlocality phenomena, reflecting interdisciplinary rigor at the intersection of mathematics and quantum computing. He actively mentors emerging researchers through current openings for graduate students and postdoctoral fellows. Dr. Bierhorst maintains active recruitment for research positions, emphasizing collaborative opportunities in quantum information theory and statistical methodology development.