جست‌وجوی استاد و پژوهشگر

• Atmospheric Science
• Climate Engineering
• Thermodynamics
• +۳ مورد دیگر

Ali Afzalifar is a Postdoctoral Researcher at Aalto University's Department of Applied Physics, affiliated with the Soft Matter and Wetting group. His research focuses on nucleation theory, atmospheric processes, and engineering applications of supercritical fluids. He holds a Doctoral degree in Engineering and Technology from LUT University (2017). Key research interests include cloud seeding strategies for precipitation enhancement, sensitivity analysis of atmospheric models, and thermodynamic modeling of water clusters. His work bridges fundamental physics with applied engineering, particularly in compressor design for supercritical CO2 systems and real-gas modeling challenges. He led the Academy of Finland-funded project Electric Field; an Active Method to Control Phase Change (2019–2022), exploring nucleation and phase transitions. Collaborations involve institutions like UCLALES-SALSA for cloud modeling. Recent contributions include advancing classical nucleation theory and quantifying cloud seeding efficacy in stratocumulus systems. Publications span atmospheric science, thermodynamics, and engineering, with notable work on Gibbs free energy in water clusters and hygroscopic aerosol effects. His interdisciplinary approach addresses challenges in climate engineering, energy systems, and fluid dynamics.

Steve Homerمشاهده پروفایل

استاد

• Complexity Theory
• Quantum Computation
• Security
• +۴ مورد دیگر

Steve Homer is a Professor of Computer Science at Boston University, affiliated with the Department of Computer Science within the College of Arts & Sciences. He has been on the faculty since 1982 and has held various administrative roles, including department chairman. He co-founded the Center for Reliable Information Systems and Cyber Security in 2002. He was a Fulbright Scholar in Heidelberg (1988-89) and a Visiting Research Professor at Oxford (1996). His research focuses on complexity theory, quantum computation, security, parallel algorithms, and computational learning theory. Education: PhD in Mathematics, Massachusetts Institute of Technology (1978) Research Interests: Homer’s work spans complexity theory (including quantum complexity), security mechanisms, parallel and randomized algorithms, mathematical logic, and learning theory. His contributions address foundational questions in theoretical computer science, with applications to quantum computing and algorithm design. Publications: Over 70 research papers highlight his exploration of quantum algorithms, computational complexity boundaries, and algorithmic efficiency. Recent themes include quantum circuit limitations, historical foundations of complexity theory, and parallel approximation algorithms. Awards: Fulbright Scholar (Heidelberg, 1988-89) Computational Science Undergraduate Teaching Award (Department of Energy, 1994) Grants & Advising: Homer has led projects funded by the Department of Energy and other agencies. Though no specific student names are listed, his advising contributions are reflected in his extensive collaborative research. Labs & Teams: Co-founder and director of the Center for Reliable Information Systems and Cyber Security, focusing on cybersecurity and trustworthy computing systems.

Julia Evenمشاهده پروفایل

دانشیار

• Nuclear Chemistry
• Nuclear Astrophysics
• Exotic Nuclei
• +۳ مورد دیگر

Julia Even is an Associate Professor of nuclear chemistry and Rosalind Franklin Fellow at the University of Groningen, part of the Precision Frontier — Van Swinderen Institute for Particle Physics and G within the Faculty of Science and Engineering. Her research focuses on exotic nuclei, particularly heavy elements and their role in astrophysical processes. She leads projects funded by ERC and NWO grants, including the NEXT initiative to study neutron-rich nuclei via multi-nucleon transfer reactions. Education: PhD in Nuclear Chemistry (2011) from Johannes Gutenberg University Mainz, with postdoctoral research at TRIUMF (Canada) and the Helmholtz Institute Mainz (Germany). Key collaborations include work with GSI, RIKEN, and TRIUMF. Research interests span nuclear mass measurements, superheavy element chemistry, and astrophysical r-process studies. Her lab develops novel separation techniques like the CISe gas catcher and combines solenoid spectrometers with MR-ToF MS for precision experiments. Awards include the ERC Starting Grant (2018), NWO ENW-XL Grant (2022), and ARCEBS-14 Young Scientist Award (2014). Current PhD students focus on solenoid separators, mass spectrometry, and nuclear astrophysics applications. Funded projects include NWO grants for doubly-magic tin-100 studies and collaborations with Dutch and international institutions to probe quantum chromodynamics and neutron-star matter.

• Optimal Transportation
• Mathematical Economics
• Mathematical Physics
• +۳ مورد دیگر

Brendan Pass is a Professor in the Department of Mathematical and Statistical Sciences at the University of Alberta. His research focuses on optimal transportation theory, with applications in mathematical economics, mathematical physics, and density functional theory. He is a core member of the Kantorovich Initiative, an interdisciplinary group dedicated to advancing optimal transport methodologies and their practical implementations. His work bridges pure mathematics with applied fields, addressing complex problems in multi-marginal transport, economic equilibrium modeling, and geometric analysis. Pass’s academic contributions span theoretical frameworks for optimal transport between spaces of differing dimensions, cyclic cost structures, and robust risk management. He explores intersections with diverse disciplines, including econometrics, financial mathematics, and geometric probability. His publications often address uniqueness conditions for Monge solutions, Wasserstein metrics, and barycenter problems in metric spaces. He has co-authored works on topics ranging from hedonic pricing models to vectorial martingale transport. Recent research trends include leveraging optimal transport for inequality measurement, robust optimization, and data denoising. His methodologies emphasize structural analysis and algorithmic design, with applications in crop root systems, quantum chemistry (via density functional theory), and option pricing. Pass frequently collaborates with institutions globally, contributing to both theoretical advancements and real-world problem-solving. Teaching responsibilities include advanced mathematics courses such as Math 156 (Calculus for Business/Economics) and Math 300 (Boundary Value Problems). His scholarly output includes over 50 peer-reviewed articles, conference contributions, and edited volumes. Current projects explore ODE characterizations of transport problems, distributional robustness, and partial identification in econometric models.

Ming Xiaoمشاهده پروفایل

دانشیار

• Wireless Communications
• Network Coding
• Machine Learning
• +۱۰ مورد دیگر

Ming Xiao is an Associate Professor in the Division of Information Science and Engineering at KTH Royal Institute of Technology's School of Electrical Engineering and Computer Science (EECS). He is affiliated with the Digital Futures Faculty and leads research in wireless communications, machine learning, and network coding. His work focuses on 6G networks, distributed learning, and secure communications. Affiliations: KTH EECS, Digital Futures, Swedish Research Council, EU Horizon Europe projects Roles: Editor for IEEE Transactions on Wireless Communications, TPC Co-Chair for VTC Fall Research Interests: Dr. Xiao's expertise spans wireless communication systems (e.g., mmWave, NOMA), network coding, machine learning applications in communications, and energy-efficient distributed systems. He has pioneered work on intelligent reconfigurable surfaces (RIS), federated learning in edge computing, and integrated sensing-communications (ISAC). Projects: Ongoing EU-funded projects include ASCENT (autonomous vehicular networks) and COVER (unmanned aerial vehicles for emergency response). Past projects include 6G channel coding and intelligent energy management in smart communities. Grants: Over 12 active grants from VR, EU Horizon Europe, FORMAS, STINT, and VINNOVA Awards: IEEE Vehicular Technologies Society Best Paper Award (2023), World Top 2% Researcher (2020–2023), Highly Cited Researcher in Computer Science/Engineering. Labs/Teams: Leads the KTH Digital Futures initiative, collaborates with RISE Research Institutes, and manages a team of 12 PhD students/postdocs focusing on 6G, distributed ML, and secure IoT.

Junyu Liuمشاهده پروفایل

استادیار

• Quantum Computing
• Quantum Machine Learning
• Quantum Cryptography
• +۷ مورد دیگر

Junyu Liu is an Assistant Professor in the Department of Computer Science at the University of Pittsburgh’s School of Computing and Information. He joined from the University of Chicago and California Institute of Technology (Caltech), where he conducted postdoctoral research as an IBM fellow at the Chicago Quantum Exchange. His research integrates quantum physics and computer science, focusing on quantum computing systems, machine learning, cybersecurity, and quantum technologies. Key areas include quantum data centers, quantum error correction, post-quantum cryptography, and quantum networks. Dr. Liu holds a PhD in Physics from Caltech and has been recognized with awards such as the IEEE QCE 1st Place Best Paper Award (2023), Kadanoff Fellowship (2021), and Fermilab’s Quantum Information Science Award (2020-2021). Education: PhD in Physics from Caltech (2021), with postdoctoral training at the Walter Burke Institute for Theoretical Physics and the Institute for Quantum Information and Matter. His interdisciplinary work spans quantum computing, machine learning, and fundamental physics. He is affiliated with the QSAI (Quantum Secure Artificial Intelligence) research group at Pitt, exploring practical applications of quantum technologies. Research Interests: Quantum machine learning, variational quantum circuits, quantum optimization, quantum data centers, post-quantum cryptography, and quantum communication networks. His work bridges theoretical advancements with real-world implementations, including quantum-classical hybrid systems and quantum security protocols. Scientific Awards: IEEE QCE 1st Place Best Paper Award (2023) Kadanoff Fellowship, University of Chicago (2021) Quantum Information Science Award, Fermilab (2020-2021) Advising & Grants: Actively hiring students (undergraduate/graduate) and postdocs for research in quantum computing and AI. His lab offers full RA/TA support. Collaborations include institutions like the Free University of Berlin (Jens Eisert) and the Kadanoff Center for Theoretical Physics. He serves on conference committees (e.g., IEEE QCE, QCNC) and is an Associated Editor of Nature’s NPJ Quantum Information. Labs/Teams: Leads the QSAI group, which focuses on quantum-secure AI and quantum computing systems. The group aims to advance technologies benefiting academia and industry, including quantum machine learning and fault-tolerant quantum algorithms.

Reyhaneh Safavi-Naeiniمشاهده پروفایل

استاد

• Cryptography
• Quantum-safe cryptography
• Information theoretic cryptography
• +۴ مورد دیگر

Dr. Reyhaneh Safavi-Naeini is a Professor in the Department of Computer Science at the University of Calgary, where she also serves as Assistant Head for Graduate Scholarships and Awards. She holds the NSERC/TELUS Industrial Research Chair in Information Security and is the Alberta Innovates Strategic Chair in Information Security. She co-founded the Institute for Security, Privacy and Information Assurance (SPIA) in 2009, leading it until 2019. Her academic journey includes a PhD in Electrical Engineering from the University of Waterloo (1978) and prior roles as a Professor and Director at the University of Wollongong, Australia. She has over 400 peer-reviewed publications and led major industry collaborations in Canada and Australia. Her research focuses on cryptography, information security, and privacy, emphasizing quantum-safe cryptography, information-theoretic security, network security, cloud security, and distributed ledger technologies. She has pioneered work on secure communication protocols, privacy-preserving systems, and cryptographic primitives resilient to modern and quantum threats. Key contributions include protocols for distance-bounding, secure key agreement, and privacy-enhanced authentication. Dr. Safavi-Naeini has received several accolades, including the Japan Telecom System Technology Award (2019), IEEE Senior Member distinction (2014), and multiple best paper awards. She serves on editorial boards for journals like IET Information Security and ACM Computing Surveys, and has chaired major conferences such as Privacy, Security and Trust (PST 2017) and Financial Cryptography 2014. She collaborates extensively with industry partners like Telus to advance applied security research. Her academic leadership includes directing research institutes, shaping university strategic initiatives like Human Dynamics in a Changing World (2015–2021), and teaching courses such as Information Theory and Security. Her work bridges theoretical foundations with practical applications, addressing real-world challenges in securing digital systems and privacy-sensitive technologies.

Sean Flemingمشاهده پروفایل

استاد

• Nuclear Physics
• Quantum Chromodynamics (QCD)
• Effective Field Theories
• +۳ مورد دیگر

Sean Fleming is a Professor of Physics at the University of Arizona's Department of Physics, part of the College of Science. He holds a Ph.D. from Northwestern University (1995) and specializes in theoretical nuclear physics and quantum chromodynamics (QCD). His research focuses on effective field theories to disentangle multi-scale phenomena in QCD, with applications to quarkonium production and collider physics. Notable contributions include work on Soft Collinear Effective Theory (SCET) and non-relativistic QCD (NRQCD). He received the OJI award in 2005. Education: Ph.D., Physics, Northwestern University, 1995 Research Interests: His work systematically addresses multi-scale QCD challenges using effective field theories. Key areas include: Effective field theory applications to quarkonium systems and heavy-ion collisions Rapidity divergences and factorization in endpoint regions Phenomenological studies of heavy quark fragmentation Collaborations on experimental analyses at Jefferson Lab and the LHC Recent Research Trends (2017–2024): Advancements in TMD (Transverse Momentum Dependent) physics and its experimental validation Interdisciplinary work applying satellite remote sensing to climate-ecosystem interactions Renormalization and scale evolution in QCD effective theories Awards: OJI award (2005) Advising & Grants: While specific students/grants are unlisted, his research has been supported by grants tied to his OJI award. Collaborations involve international teams in high-energy physics experiments and environmental remote sensing. Labs/Teams: Engaged in theoretical physics collaborations at CERN, Jefferson Lab, and interdisciplinary environmental science groups.

• Cryptography
• Blockchain Technology
• Network Security
• +۷ مورد دیگر

Danilo Gligoroski is a Professor at the Department of Information Security and Communication Technology at NTNU. His research focuses on cryptography, blockchain technology, network security, and 5G systems. He has collaborated extensively on projects involving decentralized ledgers, cybersecurity in healthcare, and hardware implementations of cryptographic algorithms. Key contributions include work on blockchain-based trust systems, secure network slicing, and privacy-preserving protocols. Affiliations: NTNU, Department of Information Security and Communication Technology Primary Research Areas: Cryptography, Blockchain, 5G Networks, Cybersecurity Notable Projects: GRAND Parallel Decoding Framework, GDPR-compliant healthcare blockchain Research interests span cryptographic protocol design, distributed ledger technologies, and their applications in healthcare, telecommunications, and IoT. His work often addresses scalability, privacy, and compliance challenges in decentralized systems. Publications highlight trends in blockchain consensus mechanisms, cryptographic hardware optimization, and network security for next-gen communication systems. Collaborations with industry and academic partners emphasize practical implementations and real-world use cases. Advising and grants include supervision of interdisciplinary projects and contributions to EU-funded cybersecurity initiatives. Active in open-source software development for network slicing and blockchain frameworks.

Louis Salvailمشاهده پروفایل

استاد

• Quantum Computing
• Cryptography
• Quantum Cryptography
• +۴ مورد دیگر

Louis Salvail is a Full Professor at the University of Montréal’s Department of Computer Science and Operations Research, affiliated with the Laboratory for Theoretical and Quantum Computing (LITQ). He joined the university in 2008 after working at Aarhus University from 1998 to 2008, where he contributed to classical cryptography foundations. His primary research interests are quantum-classical cryptography and quantum information theory, with a focus on theoretical problems. He teaches courses like Cryptology and Quantum Computing. Research projects include leadership on quantum cryptography protocols and collaborations in quantum networks. Notable grants include those from NSERC (Canada) and FQRNT, focusing on quantum cryptography foundations and quantum communication technologies. He has advised numerous PhD and Master’s students on topics like quantum key distribution protocols and cryptographic security. Salvail holds a 1998 PhD from Université de Montréal under Gilles Brassard and Claude Crépeau.

Pavel Kurilovichمشاهده پروفایل

پژوهشگر ارشد

• Condensed Matter Physics
• Quantum Computing
• Superconductivity
• +۳ مورد دیگر

Pavel Kurilovich is a Postdoctoral Fellow at Harvard University. His research focuses on experimental condensed matter physics, particularly in the realm of superconducting qubits and their operational challenges. He holds a Ph.D. from Yale University (2025), advised by Michel Devoret, with a dissertation addressing unwanted transitions in superconducting qubits induced by microwave drives. His work systematically categorizes decoherence mechanisms, including spurious resonances, photon scattering, and AC Stark effects. Key research interests include quantum computing hardware development, superconductivity, and experimental approaches to mitigate qubit decoherence. Kurilovich's experimental studies aim to enhance qubit operation fidelity by suppressing microwave-induced transitions, a critical step toward fault-tolerant quantum computation. Recent articles highlight advancements in characterizing qubit transitions, quasiparticle dynamics, and readout optimization. His contributions include developing methodologies to stabilize qubit states and improve measurement precision through high-frequency techniques and gap-engineered transmons. No scientific awards are listed, though his work is foundational for quantum hardware advancements. His research aligns with Harvard's efforts in quantum information science and superconducting systems.

Nikhil Padmanabhanمشاهده پروفایل

دانشیار

• Astrophysics
• Cosmology
• Theoretical Physics
• +۴ مورد دیگر

Nikhil Padmanabhan is an Associate Professor of Physics at Yale University. His research focuses on theoretical and observational cosmology, particularly in the areas of baryon acoustic oscillations (BAO), dark energy probes, and galaxy clustering analysis. He is a key contributor to the Dark Energy Spectroscopic Instrument (DESI) project, which aims to map the universe’s large-scale structure to constrain cosmological parameters. Padmanabhan holds a Ph.D. from Princeton University (2006). His work integrates advanced statistical methods, machine learning, and high-performance computing to analyze galaxy surveys. Research interests include ultra-light dark matter dynamics, cosmic density field reconstruction, and systematic uncertainties in BAO measurements. He has contributed to instrumental design for future surveys like the MegaMapper and NANCY, targeting precision cosmology. Recent studies emphasize optimizing BAO analyses using neural networks, exploring Lyman-alpha forest signals, and probing primordial non-Gaussianity. His publications often address methodological improvements in covariance matrix estimation, redshift weighting, and mock catalog generation for large galaxy surveys. Education : Ph.D. in Physics, Princeton University, 2006 Key Projects : DESI, MegaMapper, NANCY, SDSS-IV Labs/Teams : Part of Yale’s Theoretical Astrophysics group and DESI Collaboration No scientific awards explicitly listed in the provided materials. Advising and grants remain unspecified in the scraped text.

Ilaria Caiazzoمشاهده پروفایل

استادیار

• High-Energy Astrophysics
• Compact Objects
• White Dwarfs
• +۱۱ مورد دیگر

Ilaria Caiazzo is an Assistant Professor at the Institute of Science and Technology Austria (ISTA), where she conducts research in high-energy astrophysics, focusing on compact objects such as white dwarfs, neutron stars, and black holes. She earned her Ph.D. from the University of British Columbia and was a Burke-Sherman Fairchild Fellow at Caltech before joining ISTA. Her work integrates theoretical modeling with observational data from major surveys and space missions. B.Sc. in Physics, University of Genoa M.Sc. in Physics, Università degli Studi di Milano Ph.D. in Astrophysics, University of British Columbia Her research interests lie at the frontier of extreme physics in stellar environments. She investigates white dwarf evolution, X-ray polarization from neutron stars, gravitational wave sources, and stellar dynamics in globular clusters. Using data from missions like IXPE, Gaia, and JWST, she explores how compact objects serve as natural laboratories for fundamental physics. Her work often combines multi-wavelength observations with theoretical modeling to understand emission mechanisms, magnetic fields, and stellar evolution. The recent publications reflect a strong focus on observational astrophysics, time-domain surveys, and mission-driven science. Key themes include the use of Gaia and ZTF for stellar dynamics and binaries, IXPE for X-ray polarimetry, and the development of future missions like Colibrì. Her research spans both stellar remnants and broader cosmological implications, including LIGO follow-up strategies and planetary system evolution around dead stars. Ilaria Caiazzo is actively involved in science policy and education. She co-developed a framework for Canadian space mission funding and has taught advanced astrophysics courses. She also organized the Simulating Stars Summer School in Beijing, engaging nearly 100 students. While no formal scientific awards are listed, her leadership in the Colibrì mission and her outreach efforts highlight her impact beyond research. She leads the Colibrì mission concept as Project Scientist—a Canadian-led X-ray telescope initiative aiming for high spectral and timing resolution to probe neutron stars and black holes. She collaborates with international teams, including the IXPE mission scientists, and mentors students in astrophysics and data analysis. Her interdisciplinary work also extends to filmmaking, where she produces science-inspired art through her company Sukiyaki Studio.

• Distributed Software Systems
• Network Function Virtualization
• Formal Verification
• +۳ مورد دیگر

Patrick Eugster is a full professor at the Università della Svizzera italiana (USI) and leads the Software Systems (SWYSTEMS) group within the Computer Systems Institute . He has held academic positions at Purdue University, TU Darmstadt, and MIT as a visiting faculty. His research focuses on distributed software systems , addressing challenges in consistency, efficiency, and security in decentralized environments. Current affiliation: USI Faculty of Informatics Prior affiliations: Purdue University (2005-2016), TU Darmstadt (2014-2017), MIT (2012/2013) Research Interests Distributed Systems : Investigating reliable failure detection, deterministic data paths for 6G, and hybrid synchronous/asynchronous architectures. Network Innovation : Optimizing TCAM encoding, analyzing microbursts, and developing quantum network protocols. Security & Verification : Creating confidentiality-preserving mechanisms and formal verification approaches for distributed software. Scientific Contributions 2025: Best paper at TACAS on Horn clause validation 2025: IFIP Jean-Claude Laprie Award for dependable computing 2024: Key papers at IEEE Network, ACM PLDI, and IEEE INFOCOM Funding & Collaborations Swiss National Science Foundation grants #200021_197353 and #200021_192121 EU Horizon Europe MSCA staff exchange project CloudStars Industry partners: Cisco, Amazon AWS, Facebook Research, SAP, Northrop Grumman Cybersecurity Research Consortium Labs & Teams Directs the SWYSTEMS group, which includes postdocs like Sina Darabi and Shamiek Mangipudi, PhD students such as Anita Buckley and Jérôme Graf, and alumni who have become faculty at institutions like Télécom Paris and University of Southern California.

Laura Fabbiettiمشاهده پروفایل

استاد

• High-Energy Physics
• Particle Physics
• Nuclear Physics
• +۳ مورد دیگر

Prof. Laura Fabbietti is a Professor at the Technical University of Munich (TUM), leading the Professorship of Dense and Strange Hadronic Matter within the TUM School of Natural Sciences and Department of Physics. Her research focuses on high-energy physics, particle physics, and nuclear physics, particularly in the context of quantum chromodynamics (QCD) and the study of hadronic matter under extreme conditions. She is a core member of the ALICE Collaboration at the LHC, investigating phenomena such as heavy-ion collisions, jet quenching, and strangeness production. Her work explores topics like beauty and charm quark dynamics, collective flow in heavy-ion collisions, and the properties of the quark-gluon plasma. She also contributes to detector development and machine learning applications in particle physics experiments. Recent studies include measurements of photon production, jet modifications, and femtoscopic correlations in various collision systems. Her publications highlight advanced analyses of LHC data, emphasizing precision measurements, theoretical comparisons, and novel experimental techniques. While no specific awards or grants are mentioned, her involvement in major collaborations like ALICE underscores her significant contributions to the field. Prof. Fabbietti’s research group actively engages in interdisciplinary projects, including hypernuclei studies and precision kaonic atom spectroscopy. No advisees or specific laboratory affiliations are explicitly listed in the provided text.