Find Academic Supervisors

• Atomic and Molecular Physics
• Quantum Mechanics
• High-Order Harmonic Generation
• +19 more

Prof. ERDİ ATA BLEDA is a Professor in the Department of Physics at Marmara University, Faculty of Arts and Sciences . He earned his Ph.D. in Physics and Astronomy from Clemson University (2008) and has held academic positions at both Marmara University and Istanbul Arel University. His research spans atomic and molecular physics, computational quantum chemistry, high-order harmonic generation, and machine learning applications in materials science. Doctorate: Clemson University, Physics and Astronomy (2004–2008) Postgraduate: Clemson University (2002–2004) Undergraduate: Marmara University, Physics (1997–2001) His research interests include atomic and molecular interactions , quantum mechanical modeling , nonlinear optical processes , plasma spectroscopy , and machine learning in material properties prediction . He employs computational methods such as DFT, TDDFT, and kinetic Monte Carlo simulations to study molecular systems, confined atoms, and nanostructures. His recent work explores twisted bilayer graphene using machine learning and high-harmonic generation from endofullerenes. The most recent publications reflect a strong trend in computational materials discovery , atomic-scale simulation , and quantum phenomena in confined systems . His work integrates physics, chemistry, and computer science, often with applications in nanotechnology and astrophysics. Themes include dielectronic recombination in plasmas, hydrogen bonding in organic molecules, and electronic structure analysis of novel carbon systems. His scientific awards include: In recognition of passion and dedication to improving student learning with Pearson’s MasteringPhysics (2013) Second Place in Physics Mef National Project Competition (1997) He supervises several graduate and doctoral students, with recent theses on machine learning in 2D nanostructures and parallelization of Green’s function methods. He has led multiple TÜBİTAK-funded research projects integrating GPU computing and quantum modeling. He also serves as the Erasmus Program Institutional Coordinator and has held leadership roles in academic commissions. He has contributed to scientific software development and holds patents in interactive data management systems. He is actively involved in research laboratories and teams focusing on computational physics, quantum chemistry, and high-performance computing. His group collaborates internationally and presents regularly at major physics and quantum chemistry conferences.

Balakrishnan NaduvalathView profile

Professor

• Theoretical Chemistry
• Computational Chemistry
• Quantum Mechanics
• +6 more

Dr. Balakrishnan Naduvalath is a Professor and Graduate Program Coordinator in the Department of Chemistry and Biochemistry at the University of Nevada, Las Vegas . His primary research focuses on developing theoretical and computational algorithms to study chemical reactions and atomic/molecular processes in diverse environments such as Earth's atmosphere, astrophysical systems, and material science. Expertise : Accurate quantum calculations for small molecular systems Modeling and simulations of complex molecules and nanostructured materials Transition metal clusters in catalytic processes Ultracold chemistry and nanoclusters His work spans interdisciplinary fields including atmospheric chemistry, astrophysics, and nanomaterials research. Additional information about his teaching and publications can be found on his faculty website linked through UNLV's College of Sciences.

Daniele MicciancioView profile

Professor

• Cryptography
• Theoretical Computer Science
• Lattice-Based Cryptography
• +5 more

Daniele Micciancio is a Professor in the Computer Science & Engineering Department at the University of California, San Diego, where he has been faculty since 1999. He is a member of both the Cryptography and Security group and the Theory of Computation group within the Jacobs School of Engineering. His academic journey began with a PhD in computer science from the Massachusetts Institute of Technology in 1998. PhD in Computer Science, Massachusetts Institute of Technology (1998) Micciancio's research focuses on the intersection of theoretical computer science and cryptography, with particular emphasis on lattice-based cryptographic systems. His work spans lattice algorithms, complexity of lattice problems, symbolic analysis of cryptographic protocols, and various cryptographic primitives including zero-knowledge proofs. His research has significantly advanced the field of post-quantum cryptography, particularly in developing cryptographic systems based on the hardness of lattice problems that could withstand attacks from quantum computers. His recent publications demonstrate a continued focus on homomorphic encryption, lattice-based cryptography, and secure computation protocols. The trend shows increasing practical applications of his theoretical work, with publications addressing real-world implementation challenges in privacy-preserving computation, medical data analysis, and genomic research. Matchey Award (FOCS 1998) Sprowls Award (MIT EECS, 1999) CAREER Award (NSF, 2001) Hellman Fellowship (2001) Sloan Fellowship (2003) 20-years Test of Time Awards (FOCS 2022, FOCS 2024) Fellow of the IACR (1999) Professor Micciancio has advised numerous graduate students who have gone on to successful careers in academia and industry, including prominent researchers in lattice-based cryptography. His professional activities include serving on editorial boards for prestigious journals including SIAM Journal on Computing, Journal of Cryptology, and Information and Computation. He has also been heavily involved in conference organization, serving as program chair for TCC 2010, CRYPTO 2019, and CRYPTO 2020, and as general chair for TCC 2014. As a member of both the Cryptography and Security group and the Theory of Computation group at UCSD, Micciancio contributes to a vibrant research environment focused on foundational aspects of computer security and theoretical computer science. His work continues to influence both theoretical developments and practical implementations of cryptographic systems, particularly as the field prepares for the post-quantum era.

• Quantum Computing
• Quantum Simulation
• Trapped Ion Systems

Dr. Yao Lu is an Associate Researcher and doctoral supervisor at the Institute for Quantum Science and Engineering, Southern University of Science and Technology (SUSTech). He specializes in quantum computing and simulation using trapped ion systems, with a focus on experimental realization and scaling of quantum platforms. His work has contributed to China's first small-scale programmable ion quantum computing system. PhD in Physics (2020), Tsinghua University Bachelor in Physics (2014), Peking University His research explores: Compact trapped ion quantum computing platforms Quantum error mitigation and fidelity optimization Many-body quantum simulations in noisy environments Modular quantum computation via ion-electron coupling His publications in Nature , Nature Physics , and Nature Communications demonstrate expertise in trapped ion quantum gate design, non-equilibrium thermodynamics, and phonon manipulation. Current projects include robust quantum control of multi-ion qubits (NSFC Young Scientists Fund) and fast ion qubit shuttling (Shenzhen Science and Technology Program). He leads the trapped ion quantum computing laboratory at Futian International Quantum Research Institute (Room 102) and actively recruits researchers for quantum science initiatives.

• Physics Education
• Quantum Mechanics Education
• Science Teacher Training
• +4 more

Dr. ir. K. (Kim) Krijtenburg-Lewerissa is an Assistant Professor of Physics Education at the Freudenthal Institute, Faculty of Science, Utrecht University. Her work focuses on how students understand scientific concepts, particularly in modern physics, using models and mathematics to explain natural phenomena. Her primary research interests include: Physics didactics, especially quantum mechanics education at secondary school level Special relativity education using simulation-based learning environments Teacher education for second-career science teachers Curriculum development and educational research in physics Dr. Krijtenburg-Lewerissa's recent publications reveal a strong focus on quantum education research and special relativity education. Her work consistently examines how students develop conceptual understanding through simulations and inquiry-based learning, with particular attention to the role of prior knowledge and model thinking in physics learning. She has been instrumental in coordinating several significant educational initiatives: QTEdu-QCI project (Delphi study on quantum education research) béta4all (national program supporting lateral entry into science teaching) Junior Physics Olympiad (as co-organizer) National science curriculum renewal committee As an educator, she teaches in the Graduate School of Teaching and the Master's program Science Education and Communication, focusing on physics didactics, nature of science, model thinking, and critical thinking skills. She also writes a column on physics education for NTvN and serves as a subject expert for SLO in the Subject Innovation Committee for Science Subjects.

• Experimental Nuclear Physics
• Relativistic Heavy Ion Physics
• Detector Development

Johannes P. Wessels serves as Rector of the University of Münster since October 2016 while maintaining his position as Director of the Institute for Nuclear Physics and Full Professor in the Faculty of Physics and Astronomy. He has held significant academic leadership roles including Dean of Physics (2006-2010) and Vice-Dean of Physics (2005-2006). Wessels completed his Physics studies at the University of Heidelberg (1981-1986), earned his doctorate through research at both Heidelberg University and the Society for Heavy Ion Research in Darmstadt (1986-1990), and obtained his Habilitation from Heidelberg's Faculty of Physics and Astronomy in 2000. His research program focuses on Experimental Nuclear Physics , Relativistic Heavy Ion Physics , and Detector Development , with particular emphasis on understanding quark-gluon plasma properties through heavy ion collision experiments. Wessels has made substantial contributions to the ALICE experiment at CERN's Large Hadron Collider, investigating photon production mechanisms, heavy quark dynamics, and thermal radiation signatures in high-energy nuclear collisions. Analysis of Wessels' publication record reveals a consistent research trajectory bridging theoretical modeling with experimental data analysis. His work demonstrates expertise in both computational methods for predicting particle production and interpreting complex experimental results from the LHC. Member, Research Advisory Board (since 2012) Member, CERN Resources Review Board (since 2010) TRD Deputy Project Leader, ALICE Experiment (since 2009) Member, Management Board, European Institute for Molecular Imaging, Münster (since 2008) Member, Management Board, Extreme Matter Institute (Helmholtz Alliance), Darmstadt (since 2007) Member, CBM Collaboration Committee (since 2006) As Director of the Institute for Nuclear Physics, Wessels leads research efforts in experimental nuclear physics while maintaining active collaborations with international research facilities including CERN. His dual role as Rector demonstrates significant administrative leadership alongside his scientific contributions. Wessels' laboratory and research group focuses on detector development for nuclear physics experiments, with particular emphasis on transition radiation detectors used in high-energy collision environments. His team collaborates extensively with international partners across Europe and North America on major nuclear physics initiatives.

Clélia de MulatierView profile

Assistant Professor

• Statistical Physics
• Information Theory
• Computer Science
• +5 more

Clélia de Mulatier is an Assistant Professor at the University of Amsterdam , affiliated with both the Institute for Theoretical Physics and the Informatics Institute . She leads research at the intersection of statistical physics, information theory, and computer science , focusing on theoretical and numerical methods for complex systems . Her work spans collaborations with experimentalists in neuroscience and biology , and she actively participates in educational programs across multiple Dutch universities. Research Labs : Computational Soft Matter Lab, Computational Science Lab Affiliations : Dutch Institute for Emergent Phenomena (DIEP), Netherlands Platform Complex Systems (NPCS) Her research develops minimally complex spin models for high-order data analysis , applying exact Bayesian model selection to uncover hidden variable communities in binary datasets. This work has produced open-source tools like MinCompSpin and MinCompSpin_Greedy for different system sizes. Publications demonstrate expertise in tensor networks for dimensional reduction , epidemic modeling , and branching random walks in confined environments . Teaching includes Python programming , complex systems theory , and statistical inference for physics students across multiple institutions. She serves as program committee member for International Conference on Computational Science and organizes academic discussions through initiatives like Behind the CV: story from a Physicist .

J. Woods HalleyView profile

Professor

• Theoretical Physics
• Nonequilibrium Processes
• Prebiotic Evolution
• +7 more

J. Woods Halley is a Professor at the School of Physics and Astronomy at the University of Minnesota, where he maintains an active research program spanning theoretical, computational, and experimental approaches to complex physical systems. His work bridges physics, chemistry, and biology with applications to energy technologies and the fundamental question of life's origins. Halley's research interests focus on transport and nonequilibrium processes in diverse systems. His work encompasses electrode-electrolyte interfaces with applications to electrolysis and catalysis, solvation and transport in polymers and ionic liquids relevant to batteries and fuel cells, quantum phenomena in condensed helium systems , and chemical kinetic models of prebiotic evolution . His fingerprint analysis reveals strong connections to electronic structure, liquid helium physics, density functional methods, rutile surfaces, superfluidity, and molecular dynamics. His recent publications (2017-2024) show a pronounced focus on prebiotic chemistry and the origin of life, with multiple papers examining quenching processes, chemical disequilibrium, and energetics in models of early evolution. These works appear primarily in Physical Review E and the journal Life , indicating interdisciplinary reach across physics, chemistry, and biology. Halley has secured significant research funding, including a NASA grant (2014-2021) for Characterization of life-like systems in models of prebiotic evolution and a Department of Energy/Argonne National Laboratory grant (2005-2008) for Fundamental Studies of Electrocatalysis for Fuel Cell Cathodes . His work contributes to UN Sustainable Development Goals related to clean energy and understanding Earth systems. His research group appears to include students like Q. Sheng and B. F. Intoy, who co-author his recent papers on prebiotic chemistry. The group employs theoretical, simulation, and experimental methods to tackle complex problems at the intersection of physics, chemistry, and biology, with particular emphasis on non-equilibrium systems and their applications to both energy technologies and fundamental questions about life's origins.

• Computational Chemistry
• Molecular Design
• Photochemistry
• +5 more

Luis Manuel Frutos Gaite is a University Professor in the Department of Analytical Chemistry, Physical Chemistry and Chemical Engineering at the University of Alcalá. He coordinates the Reactividad y Estructura Molecular (Reactivity and Molecular Structure) research group and teaches courses in computational chemistry, physical chemistry, and biophysics across multiple degree programs including Pharmacy, Chemistry, and the Chemistry for Sustainability and Energy master's program. His research interests span several interconnected areas in theoretical and computational chemistry: Computational chemistry software development Computational models for photoinduced processes Study of photoreactivity of molecular devices (switches and motors) Study of reactivity and electronic properties of organometallic complexes Theoretical and computational studies of mecanochemistry and photomechanical chemistry Quantum chemical studies of molecular processes and systems Professor Frutos Gaite's recent publications (2019-2025) demonstrate a strong focus on the intersection of mechanical forces and photochemical processes, with applications to molecular switches, solar energy storage systems, and fundamental understanding of photochemical mechanisms. His work often employs advanced computational methods including multiconfigurational quantum mechanical calculations and molecular dynamics simulations. Notable scientific contributions include: Development of computational models for predicting reactivity under mechanical forces Studies on mechanical modulation of energy gaps in molecular systems Research on molecular solar-thermal energy storage systems Contributions to the OpenMolcas quantum chemistry software package Elucidation of photoisomerization mechanisms relevant to vision Professor Frutos Gaite has secured multiple research grants from the University of Alcalá, the Spanish Ministry of Science and Innovation, and other funding bodies. His research group actively collaborates with national and international partners, contributing to the advancement of computational photochemistry and mecanochemistry. His laboratory, the Reactividad y Estructura Molecular research group, provides a dynamic environment for students and researchers interested in computational approaches to chemical problems, with particular emphasis on photochemical and mechanochemical processes.

Jiyuan WangView profile

Assistant Professor

• Software Engineering
• Quantum Computing
• Heterogeneous Computing
• +4 more

Dr. Jiyuan Wang serves as an Assistant Professor in the Department of Computer Science within Tulane University's School of Science & Engineering, commencing his appointment in Fall 2025. Prior to Tulane, he worked as an Applied Scientist at Amazon Web Services, focusing on program analysis and formal verification for cloud systems. His academic background includes a Ph.D. in Computer Science from UCLA (2025) and a B.S. in Physics from Tsinghua University (2019). His educational journey: Doctor of Philosophy (Ph.D.) in Computer Science, University of California, Los Angeles, 2025 Bachelor of Science (B.S.) in Physics, Tsinghua University, 2019 Dr. Wang's research centers on Software Engineering for next-generation computing platforms, with particular emphasis on Quantum Computing and Heterogeneous Computing (including FPGAs and GPUs). He develops innovative techniques for testing and debugging, such as multi-layer compiler debugging, full-stack compiler testing, and fuzz testing tailored for heterogeneous applications. His work bridges the gap between software reliability and the complexities of modern hardware accelerators, addressing critical challenges in compiler correctness and application robustness. An analysis of his publication record from 2020 to 2025 reveals a consistent focus on advancing software testing methodologies for heterogeneous systems. The research evolved from big data analytics (BigFuzz) to compiler testing (HeteroFuzz, DuoReduce) and quantum software stacks (QDiff), demonstrating increasing sophistication in tackling platform-specific challenges. His recent 2025 papers highlight breakthroughs in MLIR compiler debugging and fuzzing. His notable recognitions include: SIGSOFT Research Highlight for QDiff (ASE 2021) Best Poster Award at ICST 2021 Dr. Wang is currently building his research group at Tulane and actively seeks motivated graduate students interested in software engineering for quantum and heterogeneous computing. His industry experience at AWS and strong publication record in top venues (ASE, ICSE, FSE, ASPLOS) indicate active research funding and collaborative opportunities. He teaches Quantum Computing (CMPS-4660/6660) and mentors students in cutting-edge research projects. While a dedicated lab name isn't specified, Dr. Wang's research group focuses on developing practical tools for compiler and application testing in heterogeneous environments, with growing emphasis on quantum software stacks.

Jaejin LeeView profile

Professor

• Programming systems of heterogeneous machines
• Parallelization and optimization of deep learning frameworks
• Deep learning compilers/architectures
• +1 more

Jaejin Lee is a Professor in the Department of Computer Science and Engineering at Seoul National University (SNU) and serves as the Director of the Center for Manycore Programming and Multicore Computing Research Laboratory. He holds a BS in Physics from SNU (1991), an MS in Computer Science from Stanford University (1995), and a PhD in Computer Science from the University of Illinois at Urbana-Champaign (1999), where his research was supported by IBM and Korea Foundation for Advanced Studies fellowships. Research Focus: His work centers on heterogeneous computing systems with expertise in GPU/FPGA programming, deep learning compiler architectures, PyTorch/TensorFlow optimization, and quantum computing simulation environments. Key areas include parallelization techniques and performance enhancement for machine learning frameworks. Publications: His research output demonstrates consistent focus on GPU efficiency, compiler-directed optimizations, and distributed computing, with recent emphasis on deep learning acceleration and error resilience in heterogeneous architectures. Awards & Honors: IEEE Fellow IBM Graduate Fellowship Korea Foundation for Advanced Studies Graduate Fellowship Leadership: Directs the Multicore Computing Research Laboratory and Center for Manycore Programming, focusing on next-generation parallel computing architectures.

Jiali GaoView profile

Professor

• Computational Chemistry
• Quantum Mechanics/Molecular Mechanics
• Protein Dynamics
• +5 more

Professor Jiali Gao is a faculty member in the Department of Chemistry at the University of Minnesota, where he holds the position of Professor. His research program focuses on developing computational methods to study complex biological systems through the integration of quantum mechanics and molecular mechanics (QM/MM) approaches. Professor Gao's research interests span multiple interconnected areas: Development of novel combined QM/MM methods for studying chemical and biological reactions Understanding the physical origins of enzyme catalysis Modeling diffusion and interactions of macromolecular particles in cellular environments Application of computational methods to energy-related problems including photosynthesis and combustion His recent publications demonstrate a consistent focus on advancing computational methodologies while applying them to significant biological and chemical problems. Professor Gao's work bridges theoretical development with practical applications across multiple domains including protein dynamics, spectroscopy, and reaction mechanisms. Notable contributions include the development of the CARNOT simulation package for reactive systems and significant advances in multistate density functional theory. Professor Gao maintains an active research program with numerous publications each year in high-impact journals such as Nature Communications, Journal of Chemical Physics, and Journal of Chemical Theory and Computation. His interdisciplinary approach, connecting computational and experimental work, strengthens the impact of his research by providing molecular-level interpretations of experimental observations.

Kade Head-MarsdenView profile

Assistant Professor

• Quantum Dynamics
• Open Quantum Systems
• Quantum Computing
• +6 more

Kade Head-Marsden is an Assistant Professor in the Department of Chemistry at the University of Minnesota's College of Science and Engineering. The Head-Marsden Group conducts interdisciplinary research at the intersection of quantum physics, chemistry, and computer science, focusing on elucidating electronic structure properties and open quantum system dynamics relevant to emerging quantum materials and technologies. Research interests span multiple interconnected domains: Classical method development for open quantum system dynamics in Markovian and non-Markovian regimes Quantum algorithm development for chemical applications on noisy-intermediate scale quantum computers Electronic structure characterization of correlated molecular systems Applications in quantum materials, molecular energy transport, and quantum information science The research output shows consistent growth with multiple publications in high-impact journals including Physical Review Research, Chemical Reviews, and Journal of Chemical Physics. Recent work demonstrates expertise in stabilizing quantum system properties, modeling decoherence dynamics, and developing quantum algorithms for chemical applications. Awards and recognitions include: Scialog Fellow in Quantum Matter and Information Professor Head-Marsden actively mentors students at multiple levels, including graduate students, REU participants, and undergraduates. The research group hosts seminars and participates in major conferences, indicating strong engagement with the scientific community. Current funding supports multiple graduate students and summer research programs through UMN's MRSEC and Lando programs. The Head-Marsden Group maintains a research focus on both theoretical development and practical applications, with work spanning from fundamental quantum dynamics to algorithm implementation for near-term quantum hardware.

• Computer simulation of nanomaterials
• Quantum materials
• 2D and topological materials
• +4 more

Dr. Marcos Gonçalves de Menezes serves as an Associate Professor at the Institute of Physics, Federal University of Rio de Janeiro (UFRJ), where he maintains an active research program in computational materials physics while teaching core undergraduate courses including Electromagnetism 1 & 2, Physics 1 & 3, and Condensed Matter Physics. His research focuses on computer simulation of nanomaterials, quantum materials, 2D and topological materials, semiconductors, defects, surfaces, interfaces, heterostructures, and energy conversion and storage . He employs computational methods to investigate electronic properties at the nanoscale, with particular emphasis on novel materials systems for next-generation electronic and energy applications. Dr. Menezes holds a CNPq Research Productivity Scholarship at Level 2, recognizing his significant contributions to Brazilian science. His publication record includes 31 papers with 330 citations and an h-index of 11 according to Web of Science (August 2025). He actively contributes to educational outreach through the Preparation Material for the Brazilian Physics Olympiad (OBF) initiative, where he supervises undergraduate students developing solutions to competition problems. Additionally, he is a key member of the NAMOR Group (Nanoscience Modeling in Rio), which focuses on quantum materials research. His teaching methodology incorporates both traditional classroom instruction and digital resources, with courses featuring comprehensive lecture notes, exercise lists, and virtual learning environments. Current teaching responsibilities include courses scheduled through the 2025 academic year, demonstrating his active faculty status.

Niny Z. RaoView profile

Associate Professor

• Computational Chemistry
• Artisanal Food and Beverage Chemistry
• Quantum Chemical Calculations
• +3 more

Niny Z. Rao serves as Associate Professor in the Department of Chemistry within the College of Life Sciences at Thomas Jefferson University, Philadelphia, PA. Her academic appointments and research activities are centered at this institution with laboratory facilities in the Chemistry division. Her educational foundation includes: PhD in Physical Chemistry from Florida State University (2002) BChE from The Cooper Union for the Advancement of Science and Art (1998) Dr. Rao's research program spans two distinct yet complementary domains: computational chemistry and artisanal food/beverage chemistry . In computational chemistry, she employs quantum mechanical methods to characterize molecular structures and properties relevant to materials science and medicinal chemistry. Her food chemistry work focuses on traditional production methods, particularly investigating how roasting parameters and brewing techniques alter chemical profiles in artisanal coffee. Current projects emphasize cold brew coffee chemistry, examining variables like contact time, roast levels, and bean varieties to understand antioxidant extraction and flavor compound stability. This dual focus bridges theoretical molecular science with practical food chemistry applications. Analysis of her publication record reveals strong concentration in coffee chemistry (8 of 15 recent articles), particularly cold brew optimization and spent coffee valorization. The remaining publications demonstrate deep expertise in computational chemistry, including boron-containing compounds, polyene systems, and biomolecular simulations. This pattern indicates strategic focus on applied food chemistry while maintaining foundational computational research capabilities. Dr. Rao actively mentors undergraduate researchers through Jefferson's research program, with student projects frequently presented at regional and national conferences. Her supervision emphasizes hands-on analytical techniques and computational modeling, preparing students for advanced scientific careers. While no major research grants are explicitly mentioned, her consistent publication output suggests sustained funding support for laboratory operations and student stipends. Her laboratory work integrates analytical chemistry instrumentation for coffee analysis with computational resources for quantum chemical calculations, creating a hybrid research environment that bridges experimental and theoretical approaches to chemical problems.