جست‌وجوی استاد و پژوهشگر

• Computer and Communication Networks
• Artificial Intelligence
• Machine Learning

Murat GÜZEL serves as a full-time Lecturer at Ahi Evran University's Mucur Vocational School within the Computer Technologies Department since 2010. His academic career spans over a decade of teaching computer science courses at the associate degree level. His educational background includes: PhD in Computer Engineering (2022) from Konya Technical University's Graduate School of Education MSc in Computer Education (2011-2013) from Gazi University's Informatics Institute BSc in Computer Engineering (1998-2003) from Mersin University's Faculty of Engineering Dr. GÜZEL's research focuses on Computer and Communication Networks, Artificial Intelligence, and Machine Learning as evidenced by his UAK classifications. His teaching portfolio demonstrates extensive experience in web technologies, server systems, and network fundamentals across multiple programming languages and platforms. His publication record shows interdisciplinary research spanning computational chemistry and medical endocrinology between 2013-2014, primarily through collaborations with researchers from Gazi University and Harran University. The publications combine theoretical DFT calculations with experimental spectroscopy techniques. Professionally active since 2007, he maintains membership in the Chamber of Computer Engineers (TMMOB Bilgisayar Mühendisleri Odası). His teaching load has consistently included 10-15 courses annually across web design, network administration, and programming fundamentals.

Jan Gunnar Cederquistمشاهده پروفایل

استادیار

• Formal Methods
• Security Protocols
• Type Theory
• +۷ مورد دیگر

Jan Gunnar Cederquist is an Assistant Professor at the Department of Computer Engineering, Instituto Superior Técnico, Technical University of Lisbon, since 2006. He is also a member of the SQIG (Security and Quantum Information Group) at IT (Instituto de Telecomunicações). His research focuses on mathematical modeling, formal specification, and verification, particularly in security protocols and language-based security. His work spans software verification, type theory, and cryptographic protocol analysis. He has contributed to fields like non-repudiation protocols, RBAC, audit logic, and distributed security. He has taught courses ranging from Software Specification to Language-Based Security at the PhD and MSc levels. His students include MSc candidates Fernando Mário Machado Marques and Carlos Magno Gaspar Vasconcelos. Previously, he held postdoctoral positions at the University of Twente, CWI, INRIA, and Imperial College London. He has chaired tracks at ACM SAC conferences (2010–2011) and served on program committees for security and formal methods events. His industry experience includes roles at Prover Technology and SEMCON.

Tomás Fernández Penaمشاهده پروفایل

استاد

• High Performance Computing (HPC)
• Parallel and Distributed Systems
• Quantum Computing
• +۵ مورد دیگر

Tomás Fernández Pena is a Full Professor at the University of Santiago de Compostela (USC) and Senior Researcher at the Research Center in Intelligent Technologies (CiTIUS) . With a career spanning over three decades, he has held academic positions since 1990 and contributed extensively to High Performance Computing (HPC), Big Data, and emerging quantum computing fields. Ph.D. in Physics from USC (1994) Senior Member of IEEE Associate Editor for IEEE Transactions on Computers and IEEE Access Research Contributions : His work focuses on parallel systems architecture, cloud computing middleware, and quantum simulation optimization. He has pioneered methods for NUMA systems, LiDAR data processing, and Big Data applications in bioinformatics/cheminformatics. His recent articles show increasing emphasis on quantum computing frameworks and distributed quantum processing. Scientific Recognition : Holds four Spanish Ministry of Education six-year research excellence periods (sexenios de investigación) and has served as Principal Investigator in 3 public projects and co-investigator in 31 EU/Xunta de Galicia funded initiatives. Supervised 7 Ph.D. theses and published 43+ international journal papers. International Collaborations : Maintains academic connections through funded research stays at Loughborough University, University of Tennessee, and University of Illinois Urbana-Champaign. Active in IEEE and participates in global conferences like Euro-Par and CHEP.

Juan Carlos Pichel Camposمشاهده پروفایل

استاد

• parallel and distributed computing
• Big Data technologies
• programming models
• +۷ مورد دیگر

Juan Carlos Pichel Campos is a Full Professor at the University of Santiago de Compostela (USC) specializing in high performance computing and language technologies. His research spans quantum computing, distributed systems, and Big Data technologies with a focus on practical applications in health informatics and computational physics. He received his B.Sc. and M.Sc. in Physics from University of Santiago de Compostela (Spain) and completed his Ph.D. there in 2006. He conducted postdoctoral research at University Carlos III de Madrid and University of Illinois at Urbana-Champaign, and worked as a researcher and project manager at Galicia Supercomputing Center. Professor Pichel's research interests include parallel and distributed computing, Big Data technologies, programming models, and software optimization techniques for emerging architectures. His recent work has focused on bridging quantum computing with classical high performance computing systems, developing efficient algorithms for processing massive biological datasets, and creating tools for health-related information retrieval and misinformation detection. His interdisciplinary approach combines techniques from computer science, physics, and biomedical informatics to solve complex computational problems. Analysis of his recent publications reveals a strong trend toward quantum computing applications and integration with classical HPC systems (accounting for approximately 40% of his recent work), followed by health informatics and natural language processing (about 30%), and bioinformatics and computational physics (about 30%). His research demonstrates a consistent focus on developing practical tools and frameworks that address real-world computational challenges across multiple domains. rePowerSiC: High-Efficiency High-Power Laser Beaming In-Space Systems Based On Sic (2024-2028) C3HS: Content curation for consumer health search - Search and misinformation detection (2023-2026) Big-eRisk: Early Prediction of Personal Risks on Massive Data (2021-2024) eRISK: Technologies for the early prediction of signs related with psychological disorders (2019-2021) BigNLP: Approaching High Performance Computing to Big Data Technologies: Natural Language Processing as Case Study (2015-2018) Professor Pichel has established strong collaborations with research groups across Europe and the United States, particularly in the fields of quantum computing and biomedical informatics. He is actively involved with CiTIUS (Centro singular de investigación en tecnoloxías da información e da comunicación de USC), contributing to its mission of advancing information and communication technologies through interdisciplinary research.

Mohammad Soltanieh-haمشاهده پروفایل

استادیار بالینی

• Computer Vision
• Macroeconomics
• Large Language Models
• +۲ مورد دیگر

Mohammad Soltanieh-ha is a Clinical Assistant Professor in the Information Systems department at Boston University’s Questrom School of Business. He holds a Ph.D. in computational physics from Northeastern University (2015) and an M.Sc. from the University of Wyoming (2012). Ph.D. , Northeastern University, 2015 M.Sc. , University of Wyoming, 2012 His research spans computer vision for cancer diagnosis automation, macroeconomics time-series forecasting , and large language model applications . Earlier work focused on computational physics , including nonlinear equations, quantum systems, and spin-incoherent regimes. The articles reflect a transition from theoretical physics to data science applications in healthcare and economics. His 2012–2014 work addressed quantum systems, while 2019–2023 studies emphasized deep learning in histopathology and AI in business . At Boston University, he teaches data science programming , big data analytics , and data science applications in business. He co-founded the American Physical Society (APS) data science unit and serves on the APS Board of Directors. Additionally, he advocates for cloud computing education as a Faculty Expert at Google Cloud.

Xiao Chengمشاهده پروفایل

مدرس

• Programming Languages
• Software Engineering
• Software Security
• +۶ مورد دیگر

Xiao Cheng is a Lecturer in the School of Computing at Macquarie University, specializing in the intersection of Programming Languages and Software Engineering. His research focuses on enhancing software security and reliability through advanced analysis techniques. PhD in Computer Science and Engineering from the University of New South Wales Research interests include: Abstract interpretation and typestate analysis Integration of AI technologies like graph neural networks Malware detection in Android systems using DNN Recent publications address challenges in: Quantum search-optimized static analysis Dynamic malware label noise mitigation Recursion handling through topological ordering Scientific recognition includes: FSE 2024 ACM SIGSOFT Distinguished Paper Award OOPSLA 2020 ACM SIGPLAN Distinguished Paper Award Professional service includes: Web Chair for LCTES 2024 PC member for FSE 2026, ISSRE 2025, PAKDD 2025 Artifact Evaluation Committee for ICSE 2025 and ISSTA 2024

Eric Howardمشاهده پروفایل

پژوهشگر ارشد

• Quantum Physics
• Machine Learning
• Gravitational Waves
• +۴ مورد دیگر

Dr. Eric Howard is a Research Fellow at Macquarie University , affiliated with the School of Engineering , School of Mathematical and Physical Sciences , and School of Computing . His research spans interdisciplinary domains at the intersection of quantum physics, machine learning, and AI-driven systems. Key research themes include: Quantum cryptography for Industry 4.0 security Machine learning in IoT temperature sensing Adversarial AI in cybersecurity 6G wireless communication optimization Quantum information processing Deep learning for data imputation Recent publications demonstrate a focus on emerging technologies, with articles on quantum Bayesian inference , 6G signal processing , and smart city IoT systems . His collaborative work extends to blockchain-enabled supply chain visibility and generative AI applications in programming. Research collaborations span institutions in India (AIP Publishing) and Australia, with technical contributions to quantum dynamics, neural network applications, and nanosensor development.

Christian Schaffnerمشاهده پروفایل

استاد

• Quantum Cryptography
• Cryptographic Protocols
• Information Theory
• +۳ مورد دیگر

Christian Schaffner is a Professor in Theoretical Computer Science at the Informatics Institute, University of Amsterdam. He serves as director of QuSoft (Dutch research center for quantum software) and chairman of Quantum.Amsterdam. His research focuses on quantum cryptography, cryptographic protocols, and quantum information theory. PhD from Aarhus University (2007) and diploma in mathematics from ETH Zurich (2003). Recipient of prestigious NWO grants, including VENI, VIDI, and a 21.5M Euro Gravitation Grant. Active in academic leadership: co-organized QCrypt conferences, chaired program committees (e.g., QCrypt 2023), and served on editorial boards (Quantum Science and Technology journal). Teaches flipped-classroom courses in cryptography and information theory at the University of Amsterdam.

• Quantum Computing
• Quantum Foundations
• Diagrammatic Reasoning
• +۳ مورد دیگر

John van de Wetering is an Assistant Professor at the Theoretical Computer Science group of the Informatics Institute at the University of Amsterdam . He works with the QuSoft research center and co-develops the PyZX open-source quantum compiler. His research spans quantum computation, diagrammatic reasoning, and quantum foundations. Education: PhD in Computer Science (2022, Radboud University) Research: Focuses on ZX-calculus for quantum circuit optimization, verification, and simulation. Explores quantum foundations through algebraic and compositional methods. Recent work includes quantum circuit optimization with AlphaTensor, completeness proofs for ZH-calculus, and scalable spider nets for transversal non-Clifford gates. He directs the new Master's program in Quantum Computer Science at UvA and co-authored the book Picturing Quantum Software . Notable collaborations include PyZX development and EU Gender Equality Working Group participation. Supervision includes current PhD students Lia Yeh (Oxford), Sarah Li (UvA), and Marc Farreras (Leiden). Former students include Boldizsár Poór (Quantinuum), Julien Codsi (Princeton), and Yanbin Chen (TUM). Tools & Outreach: Maintains the ZX-calculus Wikipedia page, co-lectured courses like Quantum Processes and Computation , and develops the ZX-calculus educational website. Organized QPL2026 conference and contributed to open-access journal Quantum .

Artur Wideraمشاهده پروفایل

استاد

• Quantum Physics
• Ultracold Atoms
• Quantum Gases
• +۵ مورد دیگر

Prof. Dr. Artur Widera is a Professor at RPTU Kaiserslautern in the Department of Physics, where he leads a research group focused on quantum physics and ultracold atoms. He has held this position since 2010 and previously served as a scientific assistant in the group of D. Meschede in Bonn (2007-2010). His academic background includes a PhD from University Mainz (2003-2007) under I. Bloch, a diploma thesis with T.W. Hänsch in München (2002-2003), and studies in physics at University Würzburg (1997-2002). Prof. Widera's research spans quantum physics, ultracold atoms, quantum thermodynamics, quantum information, and atomic physics. His work explores quantum gases in optical lattices, quantum simulation, quantum sensing with nitrogen-vacancy centers, and quantum thermodynamics. He has made significant contributions to understanding quantum phase transitions, quantum transport phenomena, and quantum metrology. His publication record shows a consistent output of high-impact research, with recent work focusing on quantum sensing applications, quantum thermodynamics, quantum education, and multiqubit quantum systems. The publications demonstrate a trend toward increasingly interdisciplinary research, connecting fundamental quantum phenomena with practical applications in sensing and quantum information processing. Teaching award of the state Rhineland-Palatinate (2020) APS Outstanding Referee (2020) Teaching award of the state Rhineland-Palatinate (2016) Teaching award of TU Kaiserslautern (2013) ERC Independent Starting Researcher Grant (2011) Prof. Widera has supervised numerous PhD students including Daniel Adam, Sian Barbosa, and Jennifer Koch. His research has been supported by significant grants including an ERC Starting Grant in 2011 and leadership of an independent research group funded by the state of Northrhine-Westphalia (2009-2010). He serves as Dean of Studies for the physics department and chairs the committee for the international Master's program 'Advanced Quantum Physics' at RPTU Kaiserslautern. His workgroup at RPTU Kaiserslautern includes researchers focusing on quantum gases, quantum sensing with NV centers, quantum thermodynamics, and quantum information processing. The team maintains strong collaborations with other institutions in Germany and internationally, particularly in the areas of quantum simulation and quantum metrology.

Lisa Lopezمشاهده پروفایل

استاد

• Educational Psychology
• Early Childhood Education
• Bilingualism
• +۳ مورد دیگر

Dr. Lisa Lopez is a Professor of Educational Psychology at the University of South Florida , College of Education. Her research focuses on the educational and environmental opportunities for Latino Dual Language Learner (DLL) children in the U.S., with three active research strands: (1) developmental trajectories of school readiness, (2) ecological perspectives (home/classroom factors), and (3) curriculum/assessment development for DLL children. She collaborates with local Head Start programs and mentors doctoral students in her Bilingual School Readiness Lab . Ph.D., Applied Developmental Psychology, University of Miami NSF-funded Postdoctoral Fellowship, Harvard Graduate School of Education Her research applies ecological frameworks to examine sociocultural influences on DLL children's academic and social-emotional development, with a focus on applied solutions for educators and at-risk populations. Recent work explores longitudinal bilingual development, language dominance, and science achievement trends. Dr. Lopez has received grants including the Researcher Starter Grant (2005) and Minority Postdoctoral Research Fellowship (2001). She actively serves on doctoral dissertation committees and trains educators on working with DLLs.

Amanda Burcroffمشاهده پروفایل

پژوهشگر ارشد

• Algebraic Combinatorics
• Cluster Algebras
• Scattering Diagrams
• +۶ مورد دیگر

Amanda Burcroff is a mathematician specializing in algebraic combinatorics, currently serving as a President's Postdoctoral Fellow at the University of California, Davis. Starting in September 2025, she will join MIT as a School of Science Dean's and NSF Postdoctoral Fellow. Her research explores the connections between cluster algebras, scattering diagrams, and algebraic geometry, with additional contributions to number theory, graph theory, and combinatorial structures. Harvard University (Ph.D., Mathematics) University of Cambridge (M.A.St, Mathematics) Durham University (M.A.S., Pure Mathematics) University of Michigan (B.S., Mathematics) Burcroff's research focuses on: Cluster algebra positivity and expansion formulas in low-rank settings Scattering diagram combinatorics and tropical geometry Hyperbolic Coxeter polytopes and dimension bounds Ehrhart theory and Hilbert bases for convex cones Combinatorics on words and pattern avoidance Domination polynomials and graph invariants Her publications reveal interdisciplinary trends spanning algebraic combinatorics, geometric structures, and number-theoretic patterns. Recent work examines quantum cluster algebras, continued fractions, and convex geometry. Burcroff's awards include prestigious Marshall, NSF, and President's Postdoctoral Fellowships. Marshall Scholarship (UK study funding) NSF Postdoctoral Fellowship (MIT appointment) President's Postdoctoral Fellowship (UC Davis) Burcroff actively promotes STEM diversity through mentorship programs like the Math Includes Mentorship Program and Graduate Research Opportunities for Women (GROW) Conference. Her mathematical outreach extends to high school initiatives including the Oakland University Summer Mathematics Institute and FIRST Robotics.

Oliver Pooleyمشاهده پروفایل

دانشیار

• Philosophy of Physics
• Metaphysics
• Philosophy of Space and Time
• +۴ مورد دیگر

Oliver Pooley is Vice Provost at Oriel College, University of Oxford, where he serves as Fellow and Tutor in Philosophy. He is also an Associate Professor in the Faculty of Philosophy at the University of Oxford. His academic appointments include teaching roles in multiple interdisciplinary programs: Computer Science and Philosophy, Mathematics and Philosophy, Philosophy and Modern Languages, Philosophy (Joint Honours), Philosophy and Theology, Philosophy, Politics and Economics, and Physics and Philosophy. Pooley's research focuses on the philosophy of physics, particularly the nature of space, time, and spacetime. His work intersects significantly with metaphysics and the philosophy of language. He is currently completing a book titled The Reality of Spacetime under contract with Oxford University Press. His research addresses fundamental questions about whether time really passes (concluding it doesn't) and how work in general metaphysics should inform the interpretation of physics. Analysis of Pooley's publication record reveals a sustained focus on spacetime ontology, particularly the substantivalist-relationalist debate. His work frequently engages with the hole argument, general covariance, and background independence in both classical and relativistic physics. A significant portion of his scholarship examines how metaphysical considerations interact with physical theories, especially regarding the interpretation of spacetime structure. His more recent work shows increasing attention to the relationship between dynamical symmetries and spacetime structure. Prior to his current position at Oriel, Pooley held a British Academy Postdoctoral Fellowship and college lectureship at Exeter College, Oxford. His teaching interests extend beyond philosophy of physics to include logic, metaphysics, epistemology, philosophy of language, and philosophy of science. He actively welcomes contact from potential graduate students whose research interests overlap with his own.

Rolf Drechslerمشاهده پروفایل

استاد

• Formal Verification
• Quantum Computing
• RISC-V Architecture
• +۴ مورد دیگر

Rolf Drechsler is a Full Professor and Head of the Group of Computer Architecture at the University of Bremen's Institute of Computer Science since 2001, and Director of the Cyber-Physical Systems Group at DFKI Bremen since 2011. He holds an adjunct professorship at the Indian Statistical Institute and has been affiliated with Duke University. Education: Diploma (1992) and Dr. phil. nat. (1995) in Computer Science from Goethe University Frankfurt Academic Leadership: Dean of Mathematics and Computer Science Faculty (2018-2025), Vice Rector for Research (2008-2013) His research focuses on formal verification , RISC-V architectures , and quantum/in-memory computing . Recent work explores LLM integration in hardware testing and polynomial-based verification techniques. Publications from 2024-2025 span IEEE Transactions , DATE , and DAC , emphasizing automated verification , quantum circuit mapping , and LLM-driven testbench generation . Scientific Awards IEEE/ACM Best Paper Awards (2013, 2018) Berninghausen-Preis for Innovative Teaching (2018) IEEE Fellow (2015) Founder Award for Solvertec (2013) He has served on program committees for DAC, ICCAD, DATE, and founded graduate schools in Embedded Systems and System Design under Germany's Excellence Initiative.

Dildar Hussainمشاهده پروفایل

استادیار

• Artificial Intelligence
• Machine Learning
• Deep Learning
• +۸ مورد دیگر

Dildar Hussain is an Assistant Professor in the Department of Artificial Intelligence Data Science at Sejong University, South Korea, where he has been serving since September 2022. His academic journey includes a Ph.D. in Biomedical Engineering from Kyung Hee University (2019), preceded by an MS in the same field (2014) and a BCS from Kohat University of Science and Technology, Pakistan (2010). Prior to his current position, he held significant roles including Postdoctoral Research Fellow at the Korea Institute for Advanced Study (KIAS), a subordinate institute of KAIST (2019-2022), Research and Development Engineer at YOZMA BMTech CO., LTD (2013-2019), and Research Associate at NUST Pakistan (2010-2012). His teaching portfolio at Sejong University includes Computer Organization and Architecture, Introduction to Data Analysis, Advance Programming Usage, Computer Vision, Artificial Intelligence and Cyber Security, Basic Coding Based on Computational Thinking, and Introduction to Applied Image Processing. Artificial Intelligence and Machine Learning applications in healthcare Medical Imaging and DXA image analysis Computer Vision and Image Processing techniques Biomedical informatics and computer-aided diagnosis Automation solutions in healthcare settings Natural language processing applications Hussain's research output shows a strong focus on applying deep learning techniques to medical imaging problems, particularly in osteoporosis detection using DXA imaging systems. His work spans multiple healthcare domains including cancer detection, diabetic retinopathy analysis, and embryo viability assessment. Recent publications (2023-2025) demonstrate expansion into diverse areas like text sentiment analysis, skin lesion diagnosis, and even materials science through computational studies of hydrogen storage materials. Kyung Hee University scholarship for Ph.D. Hussain has advised numerous research projects and collaborated extensively across disciplines, with co-authors from institutions worldwide. His industry experience at YOZMA BMTech significantly contributed to the implementation of machine learning algorithms for DXA image analysis in osteoporosis diagnosis devices. Current research directions include advancing AI techniques for medical diagnostics and exploring applications of deep learning in diverse scientific domains beyond traditional healthcare settings.