جستجوی استاد راهنمای دانشگاهی

• Coding Theory
• Combinatorics
• Error-Correcting Codes
• +۲ مورد دیگر

Anina Gruica is a Research Fellow in the Algebra group at the Technical University of Denmark (DTU), specializing in coding theory with emphases on density questions, combinatorial structures of error-correcting codes, and DNA-based data storage systems. Her work bridges theoretical mathematics and practical applications in next-generation storage technologies. Her research program centers on Coding Theory and Combinatorics, investigating the geometric and probabilistic properties of codes in metric spaces. Key interests include rank-metric codes, MRD codes, and combinatorial optimization for DNA storage efficiency, where she develops novel approaches to random access and coverage depth challenges through algebraic and geometric frameworks. Dr. Gruica's publication portfolio reveals a strong interdisciplinary trajectory, with increasing focus on DNA storage applications since 2022. Her work combines deep theoretical insights in combinatorial geometry with practical storage system design, resulting in high-impact publications across SIAM journals, IEEE conferences, and arXiv preprints that address both classical coding problems and emerging biological storage constraints. She has received competitive recognition including: ALCOCRYPT conference travel award (February 2023) DIAMANT PhD travel grant (2000 EUR, January 2023) DIAMANT visitor grant (1900 EUR, October 2021) SIAM Travel Award (August 2021) As co-organizer of the Postgraduate International Coding theory Seminar (PICS), Dr. Gruica actively mentors junior researchers while maintaining extensive collaborations with A. Ravagnani, J. Sheekey, and E. Yaakobi. Her conference presentations at venues like ISIT and SIAM AG23 demonstrate her leadership in translating theoretical advances to storage applications. She contributes to DTU's Algebra group research ecosystem, focusing on algebraic structures for coding theory and cryptography. Her current projects, evident from 2024-2025 preprints, explore combinatorial geometry for DNA storage efficiency and advanced rank-metric code constructions, positioning her at the forefront of coding theory's application to biological data systems.

Paul H. Siegelمشاهده پروفایل

استاد

• Signal Processing
• Coding Theory
• Error-Correcting Codes
• +۱۲ مورد دیگر

Paul H. Siegel is a Professor in the Department of Electrical and Computer Engineering at the University of California, San Diego (UCSD), within the Jacobs School of Engineering. He holds an Endowed Chair at the Center for Memory and Recording Research (CMRR) and is affiliated with the California Institute for Telecommunications and Information Technology (Calit2) and the Center for Wireless Communications (CWC). He previously served as Director of CMRR from 2000 to 2011 and maintains an active research and teaching presence at UCSD. Ph.D. in Mathematics, Massachusetts Institute of Technology, 1979 S.B. in Mathematics, Massachusetts Institute of Technology, 1975 Prof. Siegel's research centers on the mathematical foundations of signal processing and coding, with applications to digital data storage and wireless communications. His work spans constrained coding, error-correcting codes, trellis modulation, and algorithm design. He has made foundational contributions to matched spectral null codes, finite-state modulation, and coding for partial response channels. His recent publications emphasize coding for flash and non-volatile memories, polar and LDPC codes, and interference mitigation in high-density storage. His 15 most recent publications (2021–2018) demonstrate continued leadership in constrained coding, shaping codes, insertion/deletion channels, and neural network-based detection. The research integrates deep information-theoretic analysis with practical applications in storage systems, particularly flash and magnetic recording. Topics include rate-compatible codes, locally recoverable codes, polar coding for asymmetric channels, and robust neural networks using coding principles. IEEE Fellow (1997) IEEE Information Theory Society Paper Award (1992) IEEE Communications Society Leonard G. Abraham Prize (1993) IEEE Communications Society Data Storage Technical Committee Best Paper Award (2007) IEEE Information Theory Society Padovani Lecturer (2015) Member, National Academy of Engineering (2008) Best Graduate Teacher Award (2009–2010, 2015–2016) Best Undergraduate Teacher Award (2017–2018) Teacher of the Year, Jacobs School (2007–2008) Outstanding Mentor Award (2020–2021) Prof. Siegel has advised numerous Ph.D. and Master’s students, including Joseph B. Soriaga, Henry D. Pfister, Mohammad H. Taghavi, and Eitan Yaakobi. He has received research funding from industry and government agencies for projects in data storage and communications. He served as Editor-in-Chief of IEEE Transactions on Information Theory (2001–2004) and has held editorial roles in multiple IEEE journals. He co-organizes the Annual Non-Volatile Memories Workshop (NVMW) at UCSD, fostering collaboration in next-generation memory technologies. His primary research lab is the Center for Memory and Recording Research (CMRR), a leading interdisciplinary research center focused on magnetic, optical, and solid-state data storage technologies. CMRR supports projects in coding, signal processing, device physics, and system architecture. Prof. Siegel leads a team of graduate students and postdoctoral researchers investigating advanced coding schemes for emerging memory systems.

Marc Goerigkمشاهده پروفایل

استاد

• Robust Optimization
• Combinatorial Optimization
• Decision Science
• +۷ مورد دیگر

Professor Marc Goerigk holds the Chair of Business Decisions and Data Science at the Faculty of Economics, University of Passau, a position he has held since 2023. He previously held academic positions at TU Kaiserslautern, Lancaster University Management School, and the University of Siegen. He earned his doctorate in applied mathematics from the University of Göttingen and is recognized as a leading researcher in robust optimization. PhD in Applied Mathematics, University of Göttingen Research and teaching at TU Kaiserslautern, Lancaster University, University of Siegen His research centers on robust combinatorial optimization, focusing on decision-making under uncertainty. He develops mathematical models and algorithms that yield solutions resilient to data uncertainties, with applications in traffic, logistics, and corporate planning. He emphasizes abstract problem structures over specific instances, seeking generalizable optimization frameworks. His work bridges operations research, data science, and algorithm design, aiming to enhance decision robustness in complex systems. The recent publications highlight a strong trend in robust optimization, particularly in multi-stage and recoverable models, data-driven scenario generation, and interpretable optimization. His work increasingly integrates machine learning concepts with classical optimization, especially in explainability and preference modeling. Applications span scheduling, routing, project management, and logistics, demonstrating both theoretical depth and practical relevance. Scientific Awards: Most research-intensive business professor under 40 in the German-speaking world (WirtschaftsWoche, 2024) Professor Goerigk leads a research group focused on optimization under uncertainty. He supervises doctoral and master's students in seminars on optimization and data science. He teaches courses such as Decision Making Under Uncertainty, Combinatorial Optimization, and Artificial Intelligence and Optimization. His work is supported by ongoing research in robust modeling and algorithm development, with future directions likely involving deeper integration of AI and optimization for real-world decision support systems. No specific grants are mentioned, but his prolific output suggests active funding. He leads the Chair of Business Decisions and Data Science at the University of Passau, where his team works on theoretical and applied aspects of robust optimization, scenario modeling, and decision support systems.

• Green Chemistry
• Sustainable Synthesis
• Organic Chemistry
• +۷ مورد دیگر

Luigi Vaccaro is a Professor at the University of Perugia, where he leads the Green S.O.C. research group within the Department of Chemistry, Biology and Biotechnology. His work focuses on developing environmentally-friendly and chemically-efficient synthetic methodologies in accordance with Green Chemistry principles. Professor Vaccaro's research interests span multiple areas of sustainable chemistry. His primary focus is on creating environmentally-friendly synthetic methodologies for carbon-carbon and carbon-heteroatom bond formation. His innovative approach emphasizes the use of safe, recoverable solvents derived from biomasses to replace toxic organic solvents, the preparation of new polymer-supported catalytic systems, and the definition of waste-minimized processes using recoverable heterogeneous catalysts and continuous-flow reactors. He also applies green metrics to quantify sustainability advances and develops continuous-flow protocols for biomass valorization and the design of bio-derived chemicals. His work extends to the 'fully green approach to energy' and 'Benign Solvent Design,' with the ultimate goal of contributing to organic photovoltaics as a renewable energy source and developing innovative safe solvents. Analysis of Professor Vaccaro's recent publications (2022-2025) reveals a strong focus on sustainable methodologies across organic synthesis. His work consistently emphasizes heterogeneous catalysis, continuous flow chemistry, and biomass valorization. Key trends include the development of recoverable catalytic systems, application of green solvents like γ-valerolactone, and integration of life cycle assessment to quantify environmental impact. His research bridges fundamental organic chemistry with practical sustainability considerations, addressing challenges in pharmaceutical synthesis, materials science, and renewable energy. Professor Vaccaro leads the Green S.O.C. research group, which appears to be a collaborative team focused on advancing green chemistry principles through innovative synthetic methodologies. The group's work integrates experimental chemistry with sustainability metrics to develop practical solutions for industrial applications while minimizing environmental impact.

Hang Liuمشاهده پروفایل

دانشیار

• Nanofiber production
• Smart wearables
• 3D printing in textiles
• +۵ مورد دیگر

Hang Liu is an Associate Professor in the Department of Apparel, Merchandising, Design and Textiles at Washington State University (WSU), affiliated with the College of Agricultural, Human, and Natural Resource Sciences. She holds a Ph.D. in Textile Sciences from the University of Georgia, an M.S. in Textile Engineering from Donghua University, and a B.S. in Textile Engineering from China Textile University. Her research focuses on sustainable textile innovation, including nanofiber production for smart wearables, 3D-printed functional textiles, and textile waste recycling. She has received prestigious awards such as the NSF CAREER Award and the ITAA Rising Star Award, and was named a student-voted favorite professor at WSU. Research Interests include: Nanofiber applications in smart textiles and sensors Biobased materials and circular economy solutions Polymers processing-structure-property relationships Recent work highlights sustainable material development, such as nanocellulose composites from cotton waste and regenerated cellulose fibers from denim. Her 2023 studies explored consumer perceptions of eco-friendly apparel and conductive textiles for wearable electronics. Over 30 peer-reviewed publications demonstrate her cross-disciplinary approach spanning materials chemistry, engineering, and consumer behavior analysis. Awards include: National Science Foundation CAREER Award ITAA Rising Star Award WSU CAHNRS Teaching Excellence Award (Student Choice) Her lab collaborates on projects involving textiles for health monitoring, eco-packaging solutions, and upcycled materials. Current research priorities include advancing recyclable polymer systems and improving circularity in textile manufacturing.

• Rheology
• Soft Materials
• Polymer Science
• +۵ مورد دیگر

Simon Rogers holds dual roles as the James W. Westwater Professor and Associate Professor in the Department of Chemical and Biomolecular Engineering at the University of Illinois at Urbana-Champaign. His research focuses on rheology and the behavior of soft materials, including hydrogels, colloidal systems, and polymer networks. Key areas include thixotropy, yielding mechanisms, and structural memory under shear deformation. He has received prestigious awards such as the NSF CAREER Award (2019) and the Arthur B. Metzner Early Career Award (2022). Education: Not explicitly stated in the provided text. Research Interests: Nonlinear rheology, material failure mechanisms, nanocolloidal systems, and biomedical applications of soft materials. Recent work explores the structural and rheological memory of disordered soft materials, yielding behavior in hydrogels, and the interplay between microstructure and macroscopic material properties. His studies utilize advanced techniques like X-ray photon correlation spectroscopy and rheo-SANS to probe material dynamics.

• Mechanical Engineering
• Materials Science
• Additive Manufacturing
• +۳ مورد دیگر

Dr. Thomas Tancogne-Dejean is a Lecturer in the Department of Mechanical and Process Engineering at ETH Zürich. His research focuses on advanced materials and metamaterials, with particular emphasis on mechanical behavior under extreme conditions, additive manufacturing processes, and computational modeling. Key areas include damage mechanics, fracture analysis, and the design of energy-absorbing structures through experimental and numerical methods. His work integrates machine learning techniques to optimize metamaterial designs and predict material behavior under various loading conditions. He has contributed extensively to understanding the mechanical properties of lithium-ion batteries and additively manufactured metals like stainless steel 316L and AlSi10Mg. Dr. Tancogne-Dejean’s publications span topics such as nanoindentation of viral particles, hierarchical lattice structures, and high-throughput testing methodologies. His research bridges theoretical mechanics with practical applications in energy storage systems and aerospace materials. He holds a prominent role in advancing interdisciplinary approaches to material science, combining experimental rigor with computational innovation.

• Algorithms
• Big data analytics
• Blockchain
• +۱۲ مورد دیگر

Dr. Wojciech Golab is a Professor in the Department of Electrical and Computer Engineering at the University of Waterloo. His research focuses on distributed systems, concurrency control, and persistent memory algorithms. He has received recognition for his work on shared memory algorithms from ACM Computing Reviews. His academic career includes teaching courses like ECE 252, ECE 356, and ECE 454 in the past five years. Education: PhD in Computer Science, University of Toronto (2010) M.Math in Computer Science, University of Waterloo (2004) BSc in Computer Science, University of Toronto (2002) Dr. Golab's research interests span algorithms, blockchain, distributed systems, fault tolerance, and scalable storage solutions. His work emphasizes practical applications of theoretical computer science, such as optimizing transaction processing and ensuring consistency in distributed environments. His recent publications explore topics like detectable synchronization objects for persistent memory, blockchain sharding protocols, and efficient mutual exclusion algorithms under system failures. These contributions highlight advancements in both theoretical foundations and real-world distributed system design. Awards: ACM Computing Reviews 'Notable Computing Items' recognition (2012) Dr. Golab has collaborated with industry partners like Hewlett-Packard Labs, Google, and Cisco to advance research in distributed computing and cloud systems. He currently oversees graduate studies in his department and welcomes applications from prospective students.

John A. Gladyszمشاهده پروفایل

استاد

• Organometallic Chemistry
• Catalysis
• Molecular Devices
• +۴ مورد دیگر

John A. Gladysz is a Distinguished Professor and Dow Chair in Chemical Invention in the Department of Chemistry at Texas A&M University. His research group focuses on organometallic chemistry, catalysis (including enantioselective and green chemistry), and molecular devices like gyroscopes and wires. He earned his B.S. from the University of Michigan (1971) and Ph.D. from Stanford University (1974). Research interests span: Design of enantioselective catalysts and recoverable "fluorous" catalysts Synthesis of organometallic building blocks for molecular devices (wires, gyroscopes) Mechanistic studies and materials chemistry applications His work has yielded molecular gyroscopes with insulated rotators, carbon-chain molecular wires, and novel catalytic systems using fluorous phases. Scientific awards include: Arthur C. Cope Scholar Award (1988) ACS Award in Organometallic Chemistry (1994) Royal Society of Chemistry Award in Organometallic Chemistry (2013) Fellow of AAAS, ACS, and RSC He leads the Gladysz Research Group, developing instrumentation for organometallic synthesis and characterization. As Editor-in-Chief of Organometallics (2010-2014), he shaped the field's scholarly discourse.

• Quantum Information
• Functional Analysis
• Operator Algebras
• +۳ مورد دیگر

Li Gao is a Professor at the School of Mathematics and Statistics, Wuhan University. His research bridges functional analysis and quantum information, with a focus on operator algebras and noncommutative analysis. Previously, he held positions at the University of Houston (tenure-track assistant professor, 2021–2023), Technical University of Munich (postdoc, 2021), and Texas A&M University (postdoc, 2018–2020). He earned his Ph.D. in Mathematics from the University of Illinois at Urbana-Champaign (2018) and a Bachelor's degree from Wuhan University (2012). His research explores quantum entanglement, quantum algorithms, and entropy inequalities in quantum systems. He actively organizes seminars like the Yangtze Analysis Seminar (2025), East Lake Quantum Seminar (2024), and undergraduate Quantum Information Seminars. Recent teaching includes Functional Analysis (Spring 2025) and Linear Algebra A. Key research themes include logarithmic Sobolev inequalities, quantum channel properties, and the interplay between noncommutative geometry and quantum information. His work addresses foundational questions in quantum computing, such as Shor's algorithm and Bell inequality violations, as seen in student-led seminar discussions on topics like quantum entanglement and Heisenberg uncertainty principles. Advising includes mentoring postdocs and Ph.D. students in interdisciplinary projects. He collaborates across departments like the Li Yinan School of Artificial Intelligence and Guanglin School of Mathematics. Current initiatives focus on quantum machine learning and cutting-edge quantum communication protocols.

Vikram Singhمشاهده پروفایل

پژوهشگر ارشد

• Geotechnical Engineering
• Offshore Engineering
• Renewable Energy
• +۳ مورد دیگر

Vikram Singh is a Research Fellow at the Centre for Offshore Foundation Systems (COFS) within the School of Earth and Oceans at The University of Western Australia (UWA), specializing in offshore geotechnical engineering with emphasis on foundation systems for offshore wind turbines. His methodology integrates geotechnical centrifuge modelling, field testing, and advanced numerical analysis to address complex soil-structure interactions in marine environments. His academic credentials include: PhD in Offshore Geotechnical Engineering from The University of Western Australia (awarded 2022) Master of Technology in Geotechnical Engineering from Indian Institute of Technology Bombay (awarded 2016) Bachelor of Technology in Civil Engineering from Rajasthan Technical University (awarded 2015) Vikram's research centers on modeling fine-grained soil behavior under large deformations, strain-rate dependency in soft sediments, and performance of anchoring systems for floating offshore structures. His work develops constitutive models capturing soil sensitivity and viscoplastic effects, enabling 'whole-life' geotechnical analysis of offshore foundations. Key innovations include non-local regularization techniques for sensitive clays and ring penetrometer characterization of interface friction. Analysis of his 2021-2024 publications reveals dominant themes in constitutive modeling of fine-grained soils, large deformation analysis, and low-stress interface behavior. His work bridges computational mechanics with practical offshore applications, particularly in wind turbine foundation design and plate anchor performance. The research consistently addresses challenges in deepwater sediment characterization and soil-structure interaction under cyclic loading. Prestigious recognitions include: The 24th Dr Baden Clegg Award (2nd place, 2025) University of Western Australia 2024 Aspire Award (sole university recipient) Best Presenter Award at Indian Symposium on Offshore Geotechnics (2024) Overseas Research Grant (2019) Ad Hoc Top Up Scholarship (2017) Commonwealth of Australia Research Training Program Scholarship UWA international stipend Additional top-up scholarships Vikram actively mentors the next generation of engineers while securing critical research funding: Supervision: 2 PhD students (UWA and external), 3 Master of Professional Engineering students Research Funding: ARC Discovery Early Career Researcher Award (during PhD), RIGSS Joint Industry Project consultancy, Norwegian Geotechnical Institute collaborations Professional Leadership: Committee member of Society for Underwater Technology OSIG Perth, technical committee for EAGE/SUT Workshop on Integrated Site Characterisation He operates within the Centre for Offshore Foundation Systems (COFS) at UWA, collaborating closely with the UWA Oceans Institute and maintaining industry partnerships with organizations like the Norwegian Geotechnical Institute. His team includes key academic mentors Professors Sam Stanier, Britta Bienen, and Mark Randolph, alongside industry stakeholders in offshore renewable energy projects.

• Surface Science
• Material Science
• Ionic Liquids
• +۵ مورد دیگر

Rosa Maria Espinosa Marzal serves as the Ivan Racheff Professor in Civil and Environmental Engineering and Professor in Materials Science and Engineering at the University of Illinois Urbana-Champaign, with additional appointments at the Materials Research Lab, National Center for Supercomputing Applications (NCSA), and Carl R. Woese Institute for Genomic Biology. Her research focuses on nanoscale interfacial phenomena and material behavior under dynamic conditions. Her primary research areas include Surface Science, Material Science, Ionic Liquids, Hydrogels, Tribology, Lubrication, Polymer Brushes, and Soft Matter. She investigates molecular-scale interactions in boundary lubrication, electrical double layers, and biomimetic surfaces, with applications spanning earthquake mechanics, marine biology, and advanced material design. Recent work emphasizes quantitative characterization of interfacial forces and rheological memory in soft condensed matter systems. Analysis of her 2025 publications reveals three dominant research thrusts: (1) interfacial electrochemistry of ionic liquids with implications for energy storage, (2) rheological characterization of disordered soft materials using advanced scattering techniques, and (3) biophysical mechanisms in marine organism settlement. Her editorial work highlights foundational contributions to interfacial chemistry, while recent press coverage featured her nanoscale observations simplifying earthquake movement models. Scientific awards: No scientific awards were mentioned in the provided text. Advising and grants: The text does not specify students or grants, but her leadership of multi-institutional collaborations through NCSA and Genomic Biology Institute suggests active supervision of graduate researchers and substantial external funding. Her 111 research outputs indicate sustained grant support across material science and environmental engineering domains. Labs and teams: She maintains experimental capabilities through the Materials Research Lab while leveraging NCSA's supercomputing resources for multiscale simulations. Her cross-appointment at the Carl R. Woese Institute enables interdisciplinary work on bio-inspired materials, collaborating with teams specializing in genomic analysis and biomolecular engineering.

Dan Bonehمشاهده پروفایل

استاد

• Cryptography
• Computer Security
• Web Security
• +۳ مورد دیگر

Professor Dan Boneh is a Cryptography Professor at Stanford University, holding dual appointments in the Department of Computer Science and the Department of Electrical Engineering. He is also a Senior Fellow at the Freeman Spogli Institute for International Studies. Boneh leads the Applied Cryptography Group and co-directs the Computer Security Lab, focusing on cryptographic applications for computer security, including cryptosystems, web security, mobile device security, and cryptanalysis. His work has resulted in over 200 publications and prestigious awards such as the ACM Prize (2015), Gödel Prize (2013), and Packard Fellowship. He completed his PhD at Princeton University in 1996 and has been at Stanford since 1997. His research interests span cryptography fundamentals and practical security solutions, with notable contributions to zero-knowledge proofs, blockchain security, and privacy-preserving technologies. Boneh advises numerous graduate students and postdoctoral researchers, and his courses include Advanced Topics in Cryptography, Computer and Network Security, and Introduction to Cryptography. Boneh’s scientific awards reflect his impact in cryptography and security, including the Simons Investigator award (2015) and the Horizon Award (2006). His work bridges theoretical cryptography with real-world applications, addressing challenges in secure communication, privacy, and decentralized systems.

• Organometallic Chemistry
• Catalysis
• Nanomaterials
• +۵ مورد دیگر

Román Andrés Herranz is a Full Professor in the Department of Organic Chemistry and Inorganic Chemistry at the University of Alcalá's School of Sciences. He leads the research group Dendrimers, catalysis and nanochemistry , focusing on the development of innovative catalytic systems for sustainable chemical processes. Professor Herranz's research spans several key areas in modern chemistry, with emphasis on organometallic chemistry , catalysis , and nanomaterials . His work particularly addresses the challenge of creating efficient, recoverable catalytic systems that operate in environmentally friendly aqueous media rather than traditional organic solvents. Analysis of his publication record shows a consistent focus on palladium chemistry , N-heterocyclic carbenes (NHCs) , and dendrimer-based catalysts . His research has evolved from fundamental studies of organometallic complexes to practical applications in green chemistry and sustainable processes. His notable scientific achievements include: Programa de Incentivación de la Incorporación e Intensificación de la actividad Investigadora (Programa I3) award in 2009 Two patents related to palladium NHC complexes for catalytic applications (2014) Multiple publications in high-impact chemistry journals including Dalton Transactions, New Journal of Chemistry, and Organometallics Professor Herranz has maintained an active research program with consistent funding from Spanish national and regional agencies. His collaborative approach is evident in his numerous co-authored publications with researchers from various institutions. His laboratory provides opportunities for students to engage in cutting-edge research at the intersection of organometallic chemistry, nanotechnology, and green chemistry.

Ioannis Konstantarasمشاهده پروفایل

دانشیار

• Operations Research
• Inventory Control
• Reverse Logistics
• +۴ مورد دیگر

Ioannis Konstantaras is an Associate Professor at the Department of Business Administration, University of Macedonia, Thessaloniki, Greece, holding this position since July 2016. He contributes to the Master in International Business, Master in Business Administration, and Master in Business Analytics and Data Science programs. His academic qualifications include: B.Sc. in Mathematics from Aristotelian University of Thessaloniki (1999) M.Sc. in Statistics & Operations Research from University of Ioannina (2001) Ph.D. in Operations Research from University of Ioannina (2006) Konstantaras specializes in mathematical modeling and optimization of inventory systems for supply and reverse logistics chains. His research addresses production planning, deteriorating items, imperfect quality products, and recovery processes through operations research methodologies. He develops analytical models for optimizing decision-making in complex logistics environments. His publication record (2010-2014) shows concentrated research on inventory models for deteriorating items, lot-sizing in recovery systems, and pricing strategies for reverse logistics. Key contributions include extensions to Economic Order Quantity models, optimization of two-warehouse systems, and integration of inspection learning effects in quality control. He serves as Co-Editor for the International Journal of Systems Science: Operations & Logistics since January 2014 and has reviewed for numerous international journals. Konstantaras led the research program "Logistics Management: Quantitative Methods for Inventory Management" funded by the ARCHIMEDES program under EPAYAEK II. No publicly available information lists his doctoral advisees.