Find Academic Supervisors

Erick JanssenView profile

Professor

• Sexual Psychophysiology
• Sexuality and Relationships
• Sexual Inhibition and Excitation
• +4 more

Erick Janssen serves as Professor & Director of the Institute for Family and Sexuality Studies at KU Leuven, where he leads the Department of Neurosciences and directs the Master's Program in Human Sexuality. Concurrently, he holds a Senior Research Fellowship at The Kinsey Institute, reflecting his transnational impact on sexual science research and policy development. Education: Ph.D. in Psychology, Universiteit van Amsterdam (1995) M.A. in Psychology, Universiteit van Amsterdam (1988) Research Focus: Dr. Janssen's work centers on sexual psychophysiology and dyadic sexual dynamics , with pioneering contributions to the Dual Control Model of Sexual Response (co-developed with John Bancroft). This framework examines individual differences in sexual excitation/inhibition propensities across 75,000+ participants globally. His methodology integrates fMRI neuroimaging , ecological momentary assessment , and psychophysiological measurement to explore sexual dysfunction, aggression, and relationship dynamics. Publication Trends: Recent work (2023-2025) reveals three dominant trajectories: (1) Dyadic approaches to sexual desire using real-time couple assessment, (2) Network analysis applications in forensic sexual risk prediction, and (3) Ethical development of research stimuli emphasizing consent/pleasure expression. Over 60% of current publications involve multinational European collaborations. Scientific Recognition: Hugo Beigel Award (twice) for Journal of Sex Research publications SSTAR Award for student-led theoretical work Reiss Theory Award for conceptual contributions IASR Best Student Manuscript Award Leadership & Collaboration: As Past-President of the International Academy of Sex Research and Chair of WAS Scientific Committee, Dr. Janssen directs KU Leuven's psychophysiology lab while coordinating the SexLab (global sexual psychophysiology network) and EuroSex (European research consortium). His grant portfolio includes EU-funded projects across 8 countries investigating sexual health in aging populations and forensic risk factors. Research Infrastructure: He maintains active psychophysiology laboratories at KU Leuven specializing in genital pulse amplitude measurement (including clitoral plethysmography) and fMRI-based sexual response classification (BASIC model). Current projects include the UN-MENAMAIS study on LGB+ health in Belgium and the Kinsey Reporter citizen science initiative.

• Algorithms
• Big data analytics
• Blockchain
• +12 more

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.

Pooya RonaghView profile

Academic

• Quantum Computation
• Quantum Algorithms
• Quantum Error Correction
• +8 more

Pooya Ronagh is a Research Assistant Professor at the University of Waterloo, affiliated with the Department of Physics & Astronomy and the Institute for Quantum Computing (IQC). He also serves as a Scientific Lead at the Perimeter Institute Quantum Intelligence Lab (PIQuIL) and directs the Hardware Innovation Lab at 1QBit. His work bridges quantum computation, machine learning, and optimal control, focusing on quantum algorithms, error correction, and hybrid quantum-classical systems. Education: PhD in Mathematics (University of British Columbia, 2016), MSc in Mathematics (UBC, 2011), dual BSc in Mathematics and Computer Science (Sharif University of Technology, 2009). Awards include the Benjamin Franklin Fellowship (2009). Research Interests: Quantum algorithms for machine learning, reinforcement learning, fault-tolerant quantum architectures, cryogenic systems, and quantum control. He explores applications of quantum simulation to improve learning efficiency and robustness in AI systems. Recent work includes optimizing quantum error correction decoders, developing scalable superconducting architectures, and advancing neural network-based quantum state tomography. His contributions span theoretical frameworks (e.g., lattice surgery scheduling) and experimental methods (e.g., SFQ pulse control). Teaching: Courses like PHYS 490 (Machine Learning in Physics) emphasize practical coding and interdisciplinary projects. Grants and collaborations involve industry and academic partners in quantum hardware and software development. Labs: Hardware Innovation Lab (1QBit), IQC Quantum Control Group Future Work: Scaling quantum supercomputers, cryogenic neural decoders, quantum-enhanced generative AI

Jukka PekolaView profile

Professor

• Quantum Technology
• Mesoscopic Physics
• Superconductivity
• +4 more

Jukka Pekola is a Professor at Aalto University's School of Science, holding positions in the Department of Applied Physics, the Centre of Excellence in Quantum Technology (QTF), and the Quantum Phenomena and Devices group. He earned a Doctoral degree in Engineering and Technology from Helsinki University of Technology (1984) and a Master's degree (1982) from the same institution. His research focuses on quantum thermodynamics, nanoscale superconductivity, and mesoscopic physics, with contributions to quantum refrigeration, superconducting circuits, and cryogenic measurement techniques. He leads multiple EU and Academy of Finland-funded projects, including TcQTD (2024–2027) and QNet (2024–2027). Pekola has received prestigious awards such as the Academy Professor title (2014–2018) and the Simon Memorial Prize (2020). His research explores thermalization in quantum systems, Josephson junction dynamics, and quantum heat transport. Over 470 publications and 31 active projects highlight his impact. Notable contributions include bolometric detection of Josephson radiation and ultra-sensitive calorimetry of quantum phase slips. He actively collaborates globally, presenting invited talks on topics like quantum thermodynamics and nano-thermometry. Pekola's work contributes to UN Sustainable Development Goals through advancements in low-temperature physics and quantum technology. His lab focuses on developing quantum sensors and understanding nanoscale energy transfer mechanisms. He supervises research leading to 26 theses and chairs the Finnish National Quantum Institute (InstituteQ).

Deborah BrandonView profile

Teaching Professor

• Partial Differential Equations
• Integrodifferential Equations
• Nonconvex Variational Problems
• +3 more

Deborah Brandon is an Associate Teaching Professor Emeritus in the Department of Mathematical Sciences at Carnegie Mellon University (CMU), within the Mellon College of Science. She holds a Ph.D. from CMU and has held postdoctoral positions at Virginia Polytechnic Institute and State University, the University of Minnesota, and the University of Wisconsin-Madison. Her research focuses on partial differential equations, integrodifferential equations, nonconvex variational problems, and applications in continuum mechanics. In her academic roles, Brandon supervises teaching assistants (TAs) for the Mathematical Sciences Department, organizing TA training workshops for domestic and international graduate students. She also directs the SUAMI (Summer Undergraduate Applied Mathematics Institute), an annual outreach program. Her work bridges theoretical mathematics with practical educational initiatives in STEM. Brandon’s publications span topics in nonlinear dynamics, ferromagnetism, superconductivity, and continuum mechanics. Her research emphasizes rigorous mathematical analysis of physical systems, particularly those involving memory effects and material behavior under external stimuli.

Richard Francis Llewelyn EvansView profile

Senior Lecturer

• Computational Magnetism
• Atomistic Spin Dynamics
• Advanced Magnetic Materials
• +6 more

Richard Francis Llewelyn Evans is a Senior Lecturer in the Department of Physics at the University of York, where he was appointed as Seagate Lecturer in Computational Magnetism in 2015. He has held multiple postdoctoral appointments at York following his PhD in Computational Physics from the same institution in 2008. His departmental roles include MPhys project coordinator since 2017. Dr. Evans specializes in atomistic modeling of magnetic materials and spintronic devices, with research interests spanning magnetic hyperthermia, MRAM, HAMR, exchange bias, and permanent magnets. He leads the development of VAMPIRE, a free and open source software package for atomistic spin dynamics simulations, which has become an important tool in computational magnetism. His recent publications reveal a strong focus on cutting-edge topics in magnetism including antiferromagnetic spintronics, topological magnetic textures, ultrafast magnetization dynamics, and novel approaches to magnetic data storage. His work frequently explores 2D van der Waals magnets, skyrmion physics, and reservoir computing applications of magnetic systems. Member Institute of Physics (MInstP) Dr. Evans has successfully led several major research projects including SUPERMAN (EPSRC, £125k), FEMTOTERABYTE (EU H2020, €450k), and ARCHER eCSE0709 (£38k), along with industry collaboration with Samsung on MRAM materials ($300k). He currently supervises seven PhD students and teaches advanced computational physics courses focusing on molecular simulation and high-performance computing applications. His research group operates within the Spintronics & Magnetism and Condensed matter and materials physics groups at York, contributing to both fundamental understanding of magnetic phenomena and practical applications in next-generation data storage and spintronic devices.

• Computer Systems
• Functional Programming
• Hardware Description
• +3 more

John O'Donnell is an Honorary Lecturer at the University of Glasgow's School of Computing Science. His research spans functional programming, hardware description languages, parallel computing, and computer science education, with notable applications in music technology. Key research areas: Functional approaches to hardware design and simulation Parallel data structures and algorithms for specialized architectures Programming misconception identification and pedagogical tools Computational modeling of musical performance techniques Publications demonstrate consistent innovation in applying functional programming paradigms to diverse domains, from circuit design to music pedagogy. Recent work focuses on educational aspects of computer systems and programming.

• Mathematical Analysis
• Applied Mathematics
• Partial Differential Equations
• +5 more

Pierluigi Colli is a Professor in the Department of Mathematics at the University of Pavia. His research focuses on mathematical analysis of phase transition models, optimal control theory, and applications to tumor growth modeling. He leads the Mathematical Analysis and Applications research group and has contributed extensively to the study of Cahn-Hilliard equations, viscoelastic systems, and nonlinear PDEs. His work integrates advanced analytical techniques with computational approaches, addressing problems in material science, biological systems, and thermodynamics. Colli has published over 100 peer-reviewed articles, with recent emphasis on tumor growth models, fractional operators, and dynamic boundary conditions. His research interests include: Phase field systems and their applications Optimal control of PDEs Nonlinear parabolic equations Mathematical models in oncology Material deformation and viscoelasticity Nonlocal and fractional differential equations Recent studies analyze tumor growth dynamics with chemotaxis effects, sparsity-constrained control strategies, and the interplay between thermal memory and phase transitions. Colli’s contributions to well-posedness, asymptotic analysis, and numerical methods have advanced understanding of complex systems in applied mathematics.

Fardin KhabazView profile

Assistant Professor

• Polymer Engineering
• Rheology of Soft Materials
• Vitrimers
• +5 more

Dr. Fardin Khabaz is an Assistant Professor in Polymer Engineering and Chemical, Biomolecular & Corrosion Engineering at The University of Akron. He earned his Ph.D. in Chemical Engineering from Texas Tech University (2016) and a B.S. in Chemical Engineering from Sharif University of Technology (2011). His postdoctoral research at The University of Texas at Austin and ESPCI Paris explored rheology and mechanics of soft particle glasses and vitrimers using simulations and experiments. His research focuses on designing predictive tools for advanced materials using computational methods (molecular dynamics, finite element analysis) to study structure-property relationships in complex fluids. Key areas include recyclable vitrimers, self-healing polymers, and nanocomposites. Current projects address dynamics of vitrimers, flow behavior of ionic modifiers, and heterogeneities in nanocomposites. Grants & Funding: NSF grants for soft particle glasses and machine learning in materials science REMADE Institute/DOE funding for polymer recycling initiatives Labs & Outreach: Hosts graduate and undergraduate researchers in computational polymer engineering Promotes STEM education through high school mentoring and K-12 outreach via Akron Global Polymer Academy

Eleftherios IliopoulosView profile

Associate Professor

• Epitaxial Growth
• Semiconductor Materials
• III-Nitride Alloys
• +3 more

Eleftherios Iliopoulos is an Associate Professor at the Department of Physics, University of Crete, and a contracted associate researcher at the Institute of Electrical and Electronic Engineering (IHE-FORTH). His career began with a B.A. in Physics from the University of Athens (1994) and a PhD from Boston University (2002), focusing on epitaxial growth of semiconductor alloys. He joined the University of Crete as a visiting assistant professor in 2005 and became an Associate Professor in 2017. His research centers on III-Nitride semiconductors (AlN, GaN, InN), their heterostructures, and nanostructures. Key interests include epitaxial growth kinetics, material properties, and applications in electronics, optoelectronics, and quantum devices. Collaborations with industry include EADS, Aixtron, and Lockheed-Martin, focusing on III-N-based devices. His work spans over 50 publications since 2000, emphasizing semiconductor growth dynamics, optical properties, and device engineering. Notable contributions include studies on InGaN alloy composition effects, GaN-based sensors, and quantum dot memory applications. He has co-authored articles on topics like polarization-engineered solar cells and strain relaxation in semiconductor epilayers. He participates in research centers like the Institute of Theoretical and Computational Physics and the Cretan Center for Theoretical Physics. His labs focus on nanomaterials, quantum structures, and hybrid optoelectronics.

Stephanie ForrestView profile

Professor

• Computational Immunology
• Computer Security
• Automated Software Repair
• +12 more

Stephanie Forrest is a Professor in the School of Computing and Augmented Intelligence (SCAI) at Arizona State University (ASU), where she also serves as Director of the Biodesign Center for Biocomputation, Security and Society. She is an External Faculty member of the Santa Fe Institute (SFI), where she previously held leadership roles including Co-Chair of the Science Board (2010–2013) and Interim Vice President for Academic Affairs (1999–2000). Prior to joining ASU, she was a Regents Distinguished Professor and Department Chair of Computer Science at the University of New Mexico (2006–2011). B.A., St. John's College M.S., Ph.D., University of Michigan, Computer Science Her research lies at the intersection of biology and computation, focusing on computational immunology, automated software repair, evolutionary computation, and modeling complex systems such as cancer and immune responses. She pioneers bio-inspired algorithms for cybersecurity and develops evolutionary techniques for software optimization and repair. Her work integrates principles from immunology, genetics, and complex adaptive systems to solve problems in computer science. The trends in her recent publications reveal a sustained focus on automated program repair using evolutionary computation, GPU code optimization, and modeling biological systems. Her work increasingly combines machine learning with mutation-based search, explores semantic representations in code repair, and applies bio-inspired models to real-world software and security challenges. ACM/AAAI Allen Newell Award (2011) Presidential Young Investigator Award (1991) Stanislaw Ulam Memorial Lectures, SFI (2013) IEEE Fellow UNM Annual Research Lecture (2012) IEEE S&P Test of Time Award (2020) ICSE Most Influential Paper Award (2019) ACM/SIGEVO Impact Award (2019) SEAMS Best Paper Award (2019) WEIS Best Paper Award (2015) Stephanie Forrest has advised numerous students and researchers, often in collaboration with W. Weimer, C. Le Goues, and M. Moses. Her research is supported by major funding agencies including the National Science Foundation (NSF), Defense Advanced Research Projects Agency (DARPA), Air Force Research Laboratory (AFRL), and the Santa Fe Institute. She has also contributed to public policy as a Jefferson Science Fellow at the U.S. Department of State (2013–2014), advising on cyber-policy. She currently chairs the Government Affairs Committee of the Computing Research Association (CRA). She leads the Biodesign Center for Biocomputation, Security and Society, which brings together interdisciplinary teams to study the co-evolution of technology and society. Her research group has developed tools for intrusion detection (e.g., STIDE, pH, RISE), automated software repair (e.g., GenProg), and biological modeling (e.g., CancerSim). Current projects include engineering diversity for enhanced cybersecurity, measuring internet censorship, and modeling immune and cancer systems.

• Applied Physics
• Plasma Physics
• Electrical Breakdown Phenomena
• +3 more

Dr. Emilija N. Živanović is an Associate Professor at the Faculty of Electronics, University of Niš, affiliated with the Applied Physics Department. With a PhD in Applied Physics (2014) and an undergraduate degree in Applied Physics (2004), she specializes in plasma physics, electrical breakdown phenomena, and radiation dosimetry. Education: PhD (2014), University of Niš, Faculty of Electronics MSc/BSc: Applied Physics, University of Niš (2004) Additional Degree: Faculty of Philosophy, Niš (1999) Her research focuses on experimental and theoretical studies of gas discharge physics, particularly investigating breakdown voltage mechanisms, memory effects in nitrogen and air, and UV radiation impacts on plasma dynamics. She has contributed to sensor linearization techniques and radiation dosimetry methods through collaborative studies. Key article trends show consistent exploration of nitrogen discharge memory effects (2004-2020), statistical breakdown analysis (2011-2020), and radiation interaction studies (2014-2020). Her work bridges fundamental plasma physics with practical sensor calibration applications. Scientific recognition includes: Member, International Institute of Electrical and Electronics Engineers (IEEE) Member, Serbian Physical Society's Department of Plasma and Ionized Gas Physics

Xinyu FengView profile

Professor

• Programming Languages
• Formal Methods
• Program Verification
• +4 more

Xinyu Feng is a Professor at the Department of Computer Science and Technology, Nanjing University, with research spanning programming languages, formal methods, and system software verification. His work focuses on developing rigorous frameworks for certifying low-level system programs, particularly those involving concurrency, preemptive threads, and hardware interrupts. Nanjing University, China Huawei (collaboration) Yale University, PhD in Computer Science (2007) Research Interests: His research integrates Separation Logic and Rely-Guarantee Reasoning to create modular verification techniques for concurrent systems. Key areas include: Formal verification of OS kernels and hypervisors Concurrency control in preemptive and interrupt-driven environments Parameterized memory models for relaxed concurrency semantics Certified compilation and proof-carrying code Optimistic concurrency algorithms and non-blocking data structures Modular verification of synchronization primitives Article Trends: His publications emphasize modular and compositional methods for concurrent program verification, with a strong focus on practical applications in system software. Recurring themes include integrating formal reasoning with real-world challenges like hardware interrupts, preemptive scheduling, and SDN programming. Scientific Awards: PLDI'19 Distinguished Paper Award Professional Leadership: Xinyu Feng has served on program committees for leading conferences (POPL, PLDI, ICFP, CAV) since 2005 and chairs sessions at events like PLDI and POPL. He actively contributes to advancing formal verification standards in the field.

Nikita KovalView profile

Researcher

• Concurrent Programming
• Kotlin Coroutines
• Concurrent Data Structures
• +6 more

Nikita Koval is a Researcher at JetBrains , specializing in concurrent programming, Kotlin coroutines, and testing frameworks. His work bridges academic research with industrial application, focusing on synchronization primitives, lock-free data structures, and JVM-based concurrency tools. Academic rank: Researcher Affiliation: JetBrains Research interests include: Concurrent algorithm design and optimization Formal verification of synchronization mechanisms Testing frameworks for JVM-based languages Memory-efficient lock-free data structures Scalability in coroutine communication Distributed systems debugging Publication trends show a focus on Kotlin coroutines, JVM concurrency, and testing frameworks like Lincheck. His work spans algorithm design (union-find, queues), formal verification (CQS), and practical tools for concurrency testing (Lincheck) across conferences like PPoPP, PLDI, and ECOOP. Scientific recognition: Nikita received the Best Paper Award at OPODIS 2019 for his work on concurrent union-find algorithms. His contributions to Lincheck and CQS have been adopted into Kotlin's core libraries. Workshop leadership: He offers a 4-day corporate workshop on concurrent algorithms, covering testing, debugging, and implementation of lock-free data structures, now booked for Q3/Q4 2025. The curriculum includes hands-on Java/Kotlin coding with topics like segment queues, fetch-and-add queues, flat combining, and concurrent hash tables.

• Materials Science
• Metallurgy
• Bulk Metallic Glasses
• +5 more

Professor Michael Ferry is Head of School at the School of Materials Science & Engineering, University of New South Wales (UNSW), a position he has held since 2019. He was promoted to Professor at UNSW in 2008 after progressing through the ranks from Lecturer to Associate Professor and Senior Lecturer. His academic journey began with a BEng Hons I from the University of Wollongong in 1989, followed by a PhD from UNSW in 1994. Professor Ferry's research focuses on advanced materials science, particularly bulk metallic glasses, magnesium alloys, and microstructure-property relationships. His work spans fundamental metallurgical principles to applied materials engineering, with significant contributions to understanding recrystallization processes, grain boundary behavior, and the development of novel alloy systems. His recent research has expanded into additive manufacturing of advanced materials and the characterization of complex microstructures using cutting-edge techniques. Analysis of his recent publications reveals a strong emphasis on lightweight magnesium alloys, bulk metallic glasses, and advanced characterization techniques. His work often combines experimental approaches with computational modeling to understand fundamental material behaviors at multiple scales. The research demonstrates a consistent focus on structure-property relationships with practical applications in energy storage, lightweight structural materials, and high-performance alloys. Professor Ferry has received significant professional recognition including Chartered Materials Professional status (Australia, 2020), Fellowship of the Institution of Engineers Australia (2007), and Fellowship of the Institute of Materials, Minerals and Mining (UK, 2006). He is also a Chartered Engineer (UK, 1996) and Chartered Professional Engineer (Australia, 1996). His collaborative research extends internationally through visiting positions at institutions including the University of Cambridge (2002), University of Manchester (2004), Ecole des Mines de Saint Etienne (2008-11), National University of Singapore (2012-13), and Baosteel in China (2013-16). These collaborations have significantly contributed to his extensive publication record spanning over three decades with continuous output through 2025.