Find Academic Supervisors

• Arithmetic Algebraic Geometry
• Geometry
• Representation Theory
• +3 more

Alexander Goncharov is the Philip Schuyler Beebe Professor of Mathematics at Yale University's Department of Mathematics. His research focuses on arithmetic algebraic geometry, geometry, representation theory, and mathematical physics. He has received the European Mathematical Society Prize for his contributions to mathematics. His work spans topics such as motives, moduli spaces, polylogarithms, and quantum geometry. Education: Ph.D. 1987 (USSR). His research explores connections between algebraic geometry, number theory, and physics, with a focus on motivic cohomology, Hodge theory, and geometric representation theory. He has contributed to the understanding of scattering amplitudes, cluster varieties, and quantum invariants of moduli spaces. Research highlights include studies on Hodge correlators, motivic fundamental groups, and the geometry of moduli spaces. His recent work integrates quantum geometry with algebraic structures, such as cluster algebras and non-commutative systems. Key publications address exponential volumes of hyperbolic surfaces, spectral descriptions of non-commutative systems, and quantum aspects of moduli spaces. He has authored over 100 papers and is a leading figure in the field, with contributions to both pure mathematics and its intersections with theoretical physics. His lab or team collaborations are not explicitly detailed in the provided texts.

Fadil SantosaView profile

Professor

• Image processing
• Mathematical modeling (partial differential equations)
• Inverse problems
• +3 more

Fadil Santosa is a Professor and the Yu Wu and Chaomei Chen Department Head of Applied Mathematics and Statistics at Johns Hopkins University (JHU). He is also affiliated with the Ralph S. O’Conner Sustainable Energy Institute, SNF Agora Institute, and the Data Science and AI Institute. His research focuses on inverse problems, wave phenomena, photonics, optimal design, and mathematical modeling. He holds a BS in Mechanical Engineering from the University of New Mexico (1976) and MS/PhD in Theoretical and Applied Mechanics from the University of Illinois at Urbana (1977/1980). Recent research projects include optimizing experiment design for inverse problems, developing models for direct air capture of CO 2 , and studying plasmons in graphene. He has pioneered work on bar code decoding algorithms and multifocal optical device design, with two patented innovations. Santosa has been honored with the 2023 SIAM Distinguished Service Award and the 2023 JHU Diversity Award. His work bridges academia and industry through initiatives like the Math-to-Industry Boot Camp. He actively mentors students via community-based projects, such as applying applied math to optimize Baltimore’s food distribution systems. Current technical interests span photonic band gaps, EIT imaging, and machine learning applications in biological systems. Key Affiliations: Applied Mathematics & Statistics Department Head, Sustainable Energy Institute Researcher Patents: Multifocal optical device design, Symbol-based bar code decoding Labs/Teams: Leads multidisciplinary teams in inverse problem research and sustainability modeling

Xiaoyu XiaView profile

Lecturer

• System Privacy and Security
• AI Privacy
• Parallel and Distributed Computing
• +4 more

Dr. Xiaoyu Xia is a Lecturer (equivalent to Assistant Professor in North America) in Cybersecurity & Software Systems at RMIT University's School of Computing Technologies. He received his PhD with the prestigious Alfred Deakin Medal from Deakin University, Australia, and has established himself as a leading researcher in distributed systems and cybersecurity with over 50 peer-reviewed publications in top-tier venues including IEEE S&P, ACM WWW, and IEEE Transactions. Dr. Xia's research spans critical areas at the intersection of computing and security: System Privacy and Security Distributed Systems and Edge Computing AI Privacy and Machine Learning Systems Sustainable Computing Cybersecurity and Privacy-Preserving Technologies His recent work demonstrates a clear trajectory toward developing practical privacy-preserving frameworks for emerging technologies, particularly in edge computing environments and large language models. Dr. Xia has made significant contributions to machine unlearning, secure data management in distributed systems, and energy-efficient edge computing solutions that balance performance with sustainability concerns. Dr. Xia has received notable recognition for his scholarly impact: World's Top 2% Scientists by Stanford University (2022-2024) Alfred Deakin Medal for PhD research excellence (2021) Teaching Excellence Award from Swinburne University of Technology (2021) As an active researcher, Dr. Xia currently leads multiple funded projects including an ARC Discovery Project grant worth over $500,000 for developing privacy-aware intelligent digital twins for secure critical infrastructures. He is open to supervising motivated PhD students with interests in system security and privacy, and distributed ML systems. Dr. Xia serves the academic community through editorial roles as Associate Editor for IEEE Transactions on Dependable and Secure Computing and as a Review Board Member for IEEE Transactions on Parallel and Distributed Systems, and regularly participates in program committees for major conferences including ACM WWW and IEEE ICDCS.

Georg CarleView profile

Professor

• Internet Technology
• Future Internet Architecture
• Network Security
• +3 more

Prof. Georg Carle is a full Professor in Network Architectures and Network Services at the Technical University of Munich (TUM), affiliated with the TUM School of Computation, Information and Technology. He leads research in Internet technology, focusing on future network architectures, security, and real-time communication. Prior roles include positions at the University of Tübingen and Fraunhofer Institute for Open Communication Systems (FOKUS). Education: Electrical Engineering diploma from University of Stuttgart (1992), Master of Science in Digital Systems (Brunel University, London), and PhD in Telematics from University of Karlsruhe (1996). He held scholarships in complex systems and European Union-funded research at Institut Eurécom. Research Interests: Prof. Carle's work spans network security, sensor networks, autonomous systems, and future Internet protocols. His group develops tools like MoonGen (packet generator) and pos (experiment workflow system). Recent focus includes QUIC protocol analysis, network slicing, and reproducible experimentation frameworks. Key Contributions: Award-winning research includes Applied Networking Research Prizes (2017-2018), Best Paper Awards in IMC/PAM, and innovations in network measurement, security, and programmable data planes. His lab explores cutting-edge topics like post-quantum cryptography, low-latency networking, and 6G automation. Recognition: Honors include ACM SIGCOMM Community Contribution Award, IRTF ANRP, and multiple conference best paper accolades. He advises on network infrastructure for industrial IoT, automotive systems, and secure multiparty computation.

Kristel MichielsenView profile

Professor

• Quantum Computing
• Quantum Annealing
• Quantum Simulation
• +3 more

Prof. Dr. Kristel Michielsen is a Professor of Quantum Information Processing at RWTH Aachen University and holds leadership roles at Forschungszentrum Jülich. She leads the division HPC for Quantum Systems and heads the Jülich UNified Infrastructure for Quantum computing (JUNIQ). As Group Leader of the Research Group Quantum Information Processing, her work focuses on quantum annealing, quantum simulation, and modular hybrid HPC-quantum computing. She is also Spokesperson of the Helmholtz Information Program 1 and a Principal Investigator in Topics 1 and 2. Affiliations: RWTH Aachen University, Forschungszentrum Jülich (IAS/JSC), JUNIQ Key Roles: Head of HPC for Quantum Systems, JUNIQ Director, Quantum Information Processing Group Leader Her research emphasizes quantum computing applications in optimization, benchmarking, and hybrid supercomputing-quantum systems. She pioneers quantum-annealing solutions for real-world problems like power grid partitioning and transportation logistics. Recent work explores error mitigation, noise modeling in D-Wave systems, and quantum-classical workflows.

• Business Informatics
• Artificial Intelligence
• AI and Sustainability
• +5 more

Prof. Dr.-Ing. Jasminko Novak is a Professor and Head of the Business Information Systems Department at Stralsund University of Applied Sciences HOST. He serves as Vice-Director of the IACS Institute for Applied Computer Science and leads the CC Human-centered Intelligent Systems & Sustainability research group. His roles include membership in the University's Research Commission. Research focuses on Human-centered AI, AI for Sustainability, and Digital Innovations. Projects include developing AI tools for sustainable energy management, interactive AI spaces for youth digital sovereignty (iKIDO), and quantum-assisted AI (PLANQK). Recent initiatives include the Applied Data Science and AI Master's program and the Data Compass MV data competence network. Key collaborations involve the European Institute for Participatory Media and European projects (EU FP7/H2020, BMBF). His work emphasizes ethical AI design, including the 'Reflective AI' initiative addressing societal impacts and user understanding. Teaches courses like Human-centered AI, Business Process Modeling, and Innovation Management. Active in public discourse through interviews on AI's societal risks and potentials (Die ZEIT), and lectures on AI-driven sustainability solutions.

• Wireless Communications
• Information Theory
• Physical Layer Security
• +7 more

Eduard A. Jorswieck is a University Professor of Communication Systems at the Institute of Communications Engineering , Technical University of Braunschweig, since 2019. He has previously held a professorship at TU Dresden (2008–2019) and has been a lecturer at TU Berlin (2005–2008). Currently, he serves as the Geschäftsführender Leiter (Managing Director) of the Institute of Communications Engineering. Education: Dipl.-Ing. in Computer Engineering (2000), Doctorate (2004) from TU Berlin. Research Interests: His work bridges information theory and wireless communications, focusing on physical layer security , energy efficiency , reconfigurable intelligent surfaces (RIS) , NOMA , MIMO systems , and machine learning for network optimization . He explores stochastic orders, game theory, and fractional programming for resource allocation in 5G/6G networks. Publications & Trends: Recent articles emphasize RIS-aided URLLC , STAR-RIS , 6G security , and AI-driven resource management . His studies span multi-antenna systems , terahertz ISAC , and multi-agent reinforcement learning for UAV networks. Awards: IEEE Signal Processing Society Best Paper Award (2006) IEEE Fellow (2020) Fellow of Industry Academy (AIIA, 2024) Best Paper Award at IEEE ICC 2024 Students & Collaborations: He has mentored researchers like K.-L. Besser, P.-H. Lin, and M. Mross. His lab collaborates on projects involving quantum communication , industrial IoT , and multi-agent systems .

• Laser-based Molecular Spectroscopy
• Non-covalent Interactions
• Material Properties
• +4 more

Nathan I. Hammer is a Professor of Chemistry and Biochemistry at the University of Mississippi, holding the Margaret McLean Coulter Professorship. He specializes in laser-based molecular spectroscopy, focusing on non-covalent interactions and material properties, with over 100 publications and $7M+ in NSF grants. His research bridges experimental and theoretical approaches to study molecular systems. Education: BS in Chemistry (University of Tennessee, 1998), PhD in Physical Chemistry & Chemical Physics (University of Tennessee, 2003) His work spans ultrafast spectroscopy, Raman spectroscopy, and computational chemistry, with notable contributions to quantum dot nanostructures, chiroptical responses, and organic light emitting diode (OLED) defects. He developed an award-winning summer research program for undergraduates and has mentored over 100 students. Science magazine breakthrough (2004) NSF CAREER Award (2010) NSF grant recipient (7 grants, >$7M total) Hammer teaches general chemistry, physical chemistry courses, and laboratories, while coordinating the ACS-certified B.S. Chemistry degree program. He chairs the Ole Miss Local Section of the American Chemical Society and oversees annual student awards banquets.

David CostaView profile

Professor

• Partial Differential Equations
• Variational Methods
• Nonlinear Analysis
• +6 more

David Costa is a Full Professor in the Department of Mathematical Sciences at the University of Nevada, Las Vegas (UNLV), where he has been a faculty member since 1993. His research is centered on partial differential equations and variational methods, particularly elliptic type equations modeling steady-state phenomena. He is affiliated with the Center for Applied Math & Statistics at UNLV. Ph.D. in Mathematics, Brown University (1973) B.S. in Electrical Engineering, Universidade Federal de Pernambuco, Brazil (1967) David Costa's research focuses on the theoretical and applied aspects of nonlinear partial differential equations. He employs variational and topological methods from nonlinear analysis to study existence, multiplicity, and qualitative properties of solutions. His work often involves critical nonlinearities, semipositone problems, Hamiltonian systems, and inequalities in Sobolev spaces. He has made significant contributions to the understanding of logistic-type equations, Kirchhoff problems, and Schrodinger-type models. The recent publications highlight a strong trend in critical and subcritical elliptic problems in unbounded domains, particularly in R^N and exterior domains. His work frequently explores variational characterizations, Nehari manifolds, and maximum principles. Many papers involve collaborations with H. Tehrani, J. do O’, and others, focusing on symmetry, concentration phenomena, and nonstandard growth conditions. Notable scientific contributions include foundational work on Caffarelli-Kohn-Nirenberg inequalities, Hardy-Rellich inequalities, and Trudinger-Moser type embeddings. While no formal awards are listed, his sustained publication record in top journals and editorial contributions reflect high scholarly recognition. Costa has advised several students and collaborators, though specific names are not listed in the provided text. He has contributed to research grants and collaborative projects, particularly in nonlinear analysis and PDEs. His work on mathematical biology, including a forthcoming book, indicates interdisciplinary outreach. He has also held leadership roles in the Brazilian Mathematical Society and the CNPq advisory committee. David Costa is associated with the Center for Applied Math & Statistics at UNLV, where he participates in research seminars and collaborative programs. His work environment supports theoretical and applied mathematical research, especially in differential equations and variational methods.

Lukas ChrostowskiView profile

Professor

• Silicon photonics
• Photonic Integrated Circuits (PICs)
• Optoelectronics
• +7 more

Lukas Chrostowski is a Professor in the Department of Electrical and Computer Engineering at the University of British Columbia (UBC). He earned his BEng in Electrical Engineering from McGill University (1998) and a PhD in electrical engineering and computer science from the University of California, Berkeley (2004). Since joining UBC in 2005 and being promoted to full Professor in 2015, his work focuses on silicon photonics, optoelectronics, and VCSEL design for optical communication systems and biophotonics. Education: BEng, Electrical Engineering, McGill University (1998) PhD, Electrical Engineering and Computer Science, UC Berkeley (2004) Chrostowski leads cutting-edge research in silicon photonic device design, nanofabrication, and quantum computing applications. He directs the NSERC CREATE Silicon Electronic-Photonic Integrated Circuits (Si-EPIC) training program and co-directed the AMPEL Nanofabrication Facility (2008–2016). His contributions span biomedical sensor development, high-speed optical switches, and cryogenic photonic packaging. Key Research Areas: Silicon photonics enables low-cost, scalable integration of optical components for applications in biophotonics, quantum computing, and optical communications. His team explores sub-wavelength grating waveguides, photonic wire bonding for chip-scale integration, and feedback control systems using photoconductive heater-detectors. Scientific Awards: Killam Teaching Prize (2014) NSERC Discovery Accelerator Supplements Award (2015) Chrostowski actively teaches graduate and undergraduate courses, including semiconductor lasers, nanophotonics fabrication, and active silicon photonic design. His research group is affiliated with the Quantum Matter Institute, ICICS, and the Quantum Computing Research Cluster. He also pioneered the first online silicon photonics course on edX and the SiEPIC workshops.

Koenraad SchalmView profile

Professor

• String Theory
• Theoretical Physics
• Holographic Duality (AdS/CFT)
• +7 more

Koenraad Schalm is a Professor of Theoretical Physics at Leiden University, affiliated with the Leiden Institute of Physics (LION) within the Faculty of Science. He leads the Schalm Group, which focuses on string theory and its applications in condensed matter and cosmology through holographic duality (AdS/CFT). His research interests include string theory, quantum critical systems, holographic models of superconductivity, black hole physics, and early universe cosmology. He explores how string-theoretic models can explain experimental observations in quantum materials and primordial fluctuations. The recent publications highlight a strong focus on applying holography to condensed matter phenomena, including strange metals, superconductivity, and non-equilibrium transport. There is also significant work on cosmological perturbations and inflation, showing interdisciplinary reach between high-energy theory and observational cosmology. Vici Innovation Research Incentives Award, NWO (2013) Vidi Innovation Research Incentives Award, NWO (2004) FOM Program group grant 'Observing the big bang: the quantum universe and its imprint on the sky' (2014) NWO Graduate Program Award 'de Sitter Program in Cosmology' (2011) FOM Project grant with J. Zaanen (2009) FOM Program group grant 'A String Theoretic Approach to Cosmology and Quantum Matter' (2009) NWO van Gogh Grant with P.S. Corasaniti (2007) FOM Project grant with E. Verlinde and J.P. van der Schaar (2007) Schalm has advised numerous PhD students and collaborators, including Aravindh Swaminathan, Shankar Aleksandar Bukva, Ludwig Hoffmann, and Petter Säterskog. He has been principal investigator on multiple NWO and FOM grants. He co-organized workshops such as 'Black Hole Answers for Condensed Matter Questions' and 'Effective Field Theory in Inflation', and is actively involved in academic service. He leads the Schalm Group, which investigates the interface between string theory and experiment, particularly through the AdS/CMT correspondence. The group aims to uncover quantum signatures of string theory in condensed matter systems and cosmological data.

Lisa KohlView profile

Researcher

• Cryptology
• Secure Computation
• Post-Quantum Cryptography
• +3 more

Dr. Lisa Kohl is a tenured Researcher in the Cryptology Group at CWI Amsterdam since October 2020. Her work focuses on secure computation and practical post-quantum secure protocols . Prior to CWI, she was a postdoctoral researcher at Technion with Yuval Ishai and completed her PhD at Karlsruhe Institute of Technology under Dennis Hofheinz in 2019. She also spent eight months at the FACT center, IDC Herzliya during her PhD and wrote her master’s thesis at CWI Cryptology Group as a visiting student in 2015. PhD in Cryptology (2019, Karlsruhe Institute of Technology) Postdoctoral Researcher (Technion, 2019-2020) Research Visit Fellow (FACT Center, 2015-2019) Visiting Student (CWI Cryptology Group, 2015) Her research spans secure multi-party computation , homomorphic secret sharing , post-quantum cryptography , and pseudorandom correlation generation . Articles demonstrate expertise in optimizing oblivious transfer , improving Σ-protocol efficiency , and constructing cryptographic primitives from lattice problems and LPN assumptions . Contact: Lisa.Kohl@cwi.nl

• Theory of Computation
• Discrete Algorithms
• Theoretical Computer Science
• +5 more

Michael Saks is a Distinguished Professor of Mathematics at Rutgers, The State University of New Jersey . He is affiliated with both the Department of Mathematics and the Computer Science Department as a graduate faculty member. His research focuses on theory of computation and discrete algorithms , with applications in computational complexity, combinatorics, and algorithmic analysis. His recent publications include work on edit distance approximations , randomized algorithms , discrepancy of random matrices , and Boolean function analysis , reflecting a strong emphasis on theoretical foundations. He has contributed to journals such as Combinatorica , Journal of Graph Theory , and Discrete Applied Mathematics , and served on editorial boards and conference program committees, including the 2014 IEEE Conference on Computational Complexity . Michael Saks maintains active research and teaching pages , including guidance for graduate applicants and links to seminars like the Discrete Mathematics/Theory of Computing Seminar . He also participates in initiatives such as the Center for Computational Intractability and DIMACS .

Callum LittlejohnsView profile

Professor

• Photonics
• Silicon Photonics
• Optical Engineering
• +6 more

Professor Callum Littlejohns is a Professorial Fellow-Enterprise at the University of Southampton , specializing in silicon photonics and integrated optical systems. He is affiliated with the Photonic Systems, Circuits and Sensors Group , focusing on advancing high-speed photonic devices and energy-efficient optical interconnects. Research interests: silicon photonics, optical engineering, wavelength conversion, and photonic education. Active projects: Horizon Europe - DOLORES, PIXEurope; EPSRC-funded Layered Materials Research Foundry. Collaborations: with Professors Graham Reed, David Thomson, and Anna Peacock on silicon photonic modulators and switches. His recent publications emphasize 3D integration, MOSCAP ring modulators, and Kerr effect-based high-speed devices. He also contributes to workforce development through photonics education programs.

• Quantum Computing
• Embedded Systems
• Electronic Engineering
• +3 more

Andrea Marchesin serves as an Adjunct Professor at Politecnico di Torino, holding dual affiliations with the Department of Control and Computer Science (DAUIN) and the Department of Electronics and Telecommunications (DET) within the School of Engineering. His teaching responsibilities include Embedded Systems Integration for Electronic Engineering students and Quantum Hardware Design and Optimization modules within the Quantum Engineering program for the 2024/25 academic year. Dr. Marchesin's research centers on practical applications of quantum computing, with particular emphasis on quantum annealing approaches for real-world optimization problems. His scholarly work demonstrates a strategic focus on near-term quantum applications that can deliver tangible benefits despite current hardware limitations. He has developed quantum models specifically targeting urban traffic optimization and has contributed to computer architecture through tools like Octantis for exploring beyond von Neumann paradigms. His publication trend reveals a consistent trajectory toward engineering applications of quantum technologies, with recent work appearing in high-impact venues including IEEE Access and IEEE Transactions on Quantum Engineering. The research portfolio spans both theoretical algorithm development and practical implementation challenges, reflecting a bridge between quantum computing theory and engineering practice. As an academic advisor, Dr. Marchesin served as relatore (thesis advisor) for doctoral research on quantum algorithms for engineering applications. His teaching portfolio spans multiple academic years (2021/22-2024/25) and includes specialized workshops on SoC Verification Strategies alongside core courses in digital electronics and embedded systems.