Find Academic Supervisors

• Algebraic Combinatorics
• Geometric Combinatorics
• Hyperplane Arrangements
• +4 more

Galen Dorpalen-Barry is an Assistant Professor at Texas A&M University. Her research focuses on geometric and algebraic combinatorics, particularly hyperplane arrangements, oriented matroids, polytopes, posets, and related fields. Education: PhD in Mathematics (University of Minnesota, 2021) Masters in Mathematics (University of Minnesota, 2018) Bachelor of Arts in Mathematics (Bard College, 2015) Her recent research explores the topology of hyperplane arrangement complements, cohomology of graphical configuration spaces, and combinatorial interpretations of the ab-index. She collaborates with researchers including Nick Proudfoot, Christian Stump, and Vic Reiner. Galen has organized multiple seminars and conferences, including the Algebra and Combinatorics Seminar at Texas A&M and special sessions at SIAM and AMS meetings. She has presented at numerous international workshops and seminars on topics like positive geometries, Shi arrangements, and the Varchenko-Gel'fand ring. Contact: dorpalen-barry@tamu.edu | Website | GitHub

Manuel Sierra CastañerView profile

Professor

• Planar Antennas
• Antenna Measurement Systems
• Telecommunications Engineering
• +3 more

Prof. Manuel Sierra Castañer is a full professor at the Technical University of Madrid (UPM), serving as the Dean of the School of Telecommunications Engineering since May 2021. He holds a Telecommunication Engineering degree (1994) and a PhD (2000), both from UPM. His career includes roles as assistant and associate professor, research positions at Tokyo Tech and EPFL, and leadership in antenna measurement systems and international projects. He is a Senior Member of IEEE and Fellow of AMTA, with research focused on planar antennas and measurement systems. Notable achievements include the IEEE APS 2007 Schelkunoff Prize and leadership roles in EurAAP (Vice-Chair, General Chair for EuCAP 2022). He directed 7 PhD theses and led projects like FUTURE-RADIO and TERASENSE. His administrative roles include Director of International Cooperation at UPM (2010–2020) and leadership in the European School of Antennas. Key contributions span antenna design for 5G, satellite communications, and energy harvesting. He has authored 40+ journal papers and pioneered phaseless near-field techniques, robotic antenna measurement systems, and 3D-printed antenna components. His work bridges academic research with industry applications, emphasizing sustainable engineering education and global collaboration.

• Model Theory
• Mathematical Logic
• Shelah's Classification Theory
• +5 more

Artem Chernikov is a Professor and the Michael Brin Endowed Chair in Mathematics at the University of Maryland, College Park. His research focuses on model theory, particularly Shelah's classification theory (stability, simplicity, NIP, NTP2), and its applications to algebra, geometry, combinatorics, and computer science. He has held academic positions at UCLA from 2015 to 2023, progressing from Assistant to Full Professor. Chernikov earned his Ph.D. in Mathematical Logic from Université Claude Bernard Lyon 1 (2012) under Itaï Ben Yaacov, and prior education includes a master's from Humboldt University Berlin and a diploma in Information Systems from the State University of Telecommunications in St. Petersburg. His research interests emphasize the interplay between model theory and combinatorics, including studies on dependent (NIP) theories, valued fields, and applications to algebraic structures. Chernikov has organized numerous conferences and workshops, including events at the Fields Institute, National University of Singapore, and CIRM. He is an editor for Model theory and Mathematical Logic Quarterly . Key awards include the Sacks Prize (2013) for best thesis in mathematical logic, Sloan Research Fellowship (2016), NSF CAREER Award (2017), and Simons Fellowship (2020). His funded projects include NSF grants exploring model-theoretic classification and its combinatorial applications. Chernikov has advised numerous graduate students (e.g., Alex Mennen, Chuyin Jiang) and postdocs (e.g., Benjamin Castle, Mariana Vicaria). He also supervises undergraduate research, including projects on logic and model theory. His work bridges foundational logic with applied areas like combinatorics and algebraic geometry.

• Quantum Photonics
• Structured Light
• High-Dimensional Quantum Information
• +5 more

Robert Fickler is an Associate Professor at Tampere University's Faculty of Engineering and Natural Sciences , leading the Experimental Quantum Optics Group in the Photonics department. His work focuses on quantum photonics, high-dimensional quantum information, and structured light interactions with matter. He holds a PhD from the University of Vienna (2014) and has held postdoctoral positions at institutions like the University of Ottawa and IQOQI Vienna. Fickler is an ERC Starting Grant recipient (2021) and leads the BIQOS project on integrated operations for structured photons. Education: PhD in Physics, University of Vienna (2014) Master’s in Physics, Ulm University (2009) Bachelor’s in Philosophy, Ulm University (2008) Research interests include quantum plasmonics , nonlinear optics , and atom physics . His lab explores structured photons for quantum communication and high-dimensional systems, with breakthroughs like the quantum Gouy phase observation and twisted photon entanglement. Over 55 publications appear in top journals like Science , Nature Photonics , and Physical Review Letters . Awards include the Young Scientist Award from IUPAP (2015) and Springer Thesis Award (2015). His grants include the Academy Research Fellowship (2019) and Banting Postdoctoral Fellowship (2016). Advising focuses on experimental quantum optics, with a lab emphasizing spatiospectral vector beams and multi-plane light conversion . Collaborations span international teams in quantum communication and nonlinear optics.

J. Lee WhittingtonView profile

Professor

• Leadership
• Organizational Behavior
• Employee Engagement
• +9 more

J. Lee Whittington is a Professor of Management and Dean at the Gupta College of Business, University of Dallas. He holds a PhD in Organizational Behavior from the University of Texas at Arlington (UTA) and has over two decades of industry experience in manufacturing and distribution, including executive roles in marketing and logistics. His research focuses on leadership, employee engagement, and the intersection of spirituality and work, with notable publications such as Biblical Perspectives on Leadership and Organizations and Enhancing Employee Engagement: An Evidence-Based Approach . Education: BA in Economics and Political Science (Austin College), MBA and PhD (UTA). Research Interests: Leadership development, spiritual leadership, employee engagement strategies, workplace spirituality, and organizational ethics. He advocates for integrating faith-based principles into management practices to foster meaningful work environments. Awards: Recognized for teaching excellence (Haggerty Award) and research (Distinguished Scholar in Organizational Behavior). His leadership as Dean secured AACSB accreditation for the Gupta College of Business. Consulting: Engaged with organizations like Life.Church, Siemens, and the U.S. Army Corps of Engineers, focusing on leadership development and organizational change. He emphasizes practical, evidence-based solutions for high-commitment workplaces. Labs/Teams: Active in curriculum redesign for practice-based learning and sustainable business ethics. Co-founded initiatives like the Sustainable Organization framework with collaborators Tim Galpin and Greg Bell.

• Entrepreneurship
• University Spinoffs
• Technology Management
• +6 more

Remco Siebelink is an Assistant Professor in the Department of Entrepreneurship, Technology, and Management at the University of Twente. His academic work centers on innovation, university spinoffs, and strategic management, with a methodological focus on configurational analysis such as fsQCA. Research Interests: His research explores the dynamics of university spinoff development, funding success configurations, cognitive aspects in early-stage innovation, and strategic roadmapping. He adopts a systems and configurational perspective to understand how combinations of factors—such as entrepreneur traits, venture characteristics, and institutional support—lead to successful innovation outcomes. Publication Trends: Over the past decade, his scholarly output has increasingly focused on empirical and methodological contributions to academic entrepreneurship, particularly using fsQCA to uncover complex causal pathways. His recent publications reflect a strong engagement with both theoretical and practical challenges in technology transfer and startup ecosystems. Scientific Awards: Best paper award - ETH Zurich (2019) Advising and Grants: While specific advisees are not listed, Remco has co-supervised research outputs including EngD and PhD theses, indicating active involvement in graduate education. There is no mention of grant funding in the provided text, though his collaborative publications suggest participation in research projects. Labs and Teams: He is actively involved in the Entrepreneurship, Technology, Management research group at the University of Twente and chaired a committee in 2021, reflecting leadership and integration within his academic unit.

• Logic Programming
• Knowledge Representation
• Artificial Intelligence
• +6 more

Bart Bogaerts is an Associate Professor in the Department of Computer Science at KU Leuven's Faculty of Engineering Science. He is affiliated with the Declarative Languages and Artificial Intelligence (DTAI) research unit and is a member of Leuven.AI - KU Leuven Institute for Artificial Intelligence. Bogaerts serves on the Council of the Faculty of Engineering Science as senior academic staff and participates in the Programme Committee for Artificial Intelligence curriculum development. His research focuses on foundational aspects of logic programming and knowledge representation, with particular expertise in approximation fixpoint theory, higher-order logic programming, and non-monotonic reasoning. Bogaerts investigates the theoretical underpinnings of stable model semantics, justification frameworks, and executable query languages. His work bridges theoretical computer science with practical applications in artificial intelligence and knowledge-based systems. Bogaerts' publication record demonstrates consistent contributions to top venues in logic programming and artificial intelligence. His recent work shows increasing focus on category-theoretic approaches to approximation theory, distributed web traversal specifications, and certified model expansion techniques. The publications reveal a strong emphasis on formal methods with applications spanning from theoretical mathematics to practical AI systems. As a promotor for multiple significant research projects, Bogaerts leads investigations into certified answer set programming (CertifASP), first-order model expansion (CertiFOX), proof generation for combinatorial optimization, distributed configuration problems, and knowledge integration paradigms. These projects, funded through 2028-2029, demonstrate his leadership in advancing the theoretical foundations of AI and logic programming. Bogaerts is actively involved in teaching courses on knowledge representation and reasoning, contributing to the development of next-generation AI researchers. His work within the DTAI research unit positions him at the forefront of declarative AI approaches in Belgium's leading research university.

Sabrina SartoriView profile

Professor

• Energy Storage
• Renewable Energy
• Energy Systems
• +3 more

Sabrina Sartori is a Professor and Section Head at the University of Oslo's Energy Systems Section, Institute of Theoretical Astrophysics. Her research bridges energy technology and astrophysics, focusing on sustainable power solutions for remote astronomical facilities. Energy Systems Section, University of Oslo AtLAST Telescope Project Consortium Her work centers on energy storage , renewable energy integration , and materials science for hydrogen technologies, combining experimental characterization with life cycle assessments. 2025 : Dual-phase alloys for room temperature hydrogen storage 2024 : Sustainable off-grid telescope power systems Recent publications analyze offshore wind-hydrogen systems , photochromic materials , and metal hydride scalability , reflecting her multidisciplinary approach to decarbonization.

Kirsten Andrea SchnorrView profile

Researcher

• Ultrafast Science
• Atomic Physics
• Molecular Physics
• +6 more

Kirsten Andrea Schnorr is a Researcher at the Paul Scherrer Institute (PSI) in Switzerland, working within the Center for Photon Science and Laboratory for Femtochemistry. She joined the SwissFEL team in 2018 to develop the Maloja endstation for atomic, molecular, and non-linear physics, leading its design, construction, and operational commissioning for cutting-edge XUV/X-ray experiments. Her educational background includes: PhD in Physics (2014), Ruprecht Karl University Heidelberg, completed at the Max Planck Institute for Nuclear Physics under PD Dr. Robert Moshammer; thesis focused on XUV pump-probe experiments of electron rearrangement and interatomic Coulombic decay in diatomic molecules. Schnorr's research centers on photo-induced ultrafast relaxation mechanisms in atoms, molecules, and nanoparticles using time-resolved techniques at Free-Electron Lasers and High Harmonic Generation sources. She pioneers multi-color pump-probe schemes with ultrashort X-ray pulses to steer non-local decay processes like Interatomic Coulombic Decay and Electron Mediated Decay, enabling real-time observation of electron dynamics and proton transfer in molecular systems. Her publication trends (2025-2020) reveal dual expertise in fundamental molecular dynamics and instrumental innovation. Key themes include proton transfer in water dimers (Science Advances 2023), Coulomb explosion in iodinated compounds (2025), and engineering breakthroughs like compact gas attenuators (2023) and polarization control systems (2024), frequently published in Physical Review Letters, Nature Communications, and Journal of Synchrotron Radiation. Scientific awards: Peter Paul Ewald Fellowship from the Volkswagen Foundation (2015), supporting her research on non-linear relaxation processes at UC Berkeley's Physical Chemistry Department under Prof. Stephen Leone. No formal advisees or student supervision are documented. The Volkswagen Foundation fellowship served as her primary grant, funding postdoctoral work on real-time relaxation studies; no additional grants are specified. Her instrumental leadership at SwissFEL suggests mentorship of junior scientists, though no individual students are named. Schnorr directs the Maloja instrument at SwissFEL while contributing to the ATHOS beamline development. She collaborates extensively with PSI's detector teams (e.g., JUNGFRAU advancements) and international groups like UC Berkeley's Physical Chemistry Department, driving initiatives in ultrafast beamline technology and molecular dynamics experiments.

• Computer Science
• Network Engineering
• Software Development
• +3 more

Thorsten Jarz-Sand is a Professor at the Pädagogische Hochschule Steiermark (Styrian College of Teacher Education), specializing in Secondary Vocational Teacher Education. His work focuses on integrating advanced IT systems into educational environments, emphasizing practical technical guidance for schools and organizations. He holds a Magister degree and teaches courses on network infrastructure, system administration, and programming. His research interests include Windows operating systems, server management, and educational technology applications. Key areas of expertise include Active Directory, Hyper-V virtualization, network security, and programming languages like C# and VB.NET. Dr. Jarz-Sand has authored over a dozen technical manuals, including guides for Windows Server 2022, Windows 11, and foundational network technologies. His books emphasize hands-on learning through exercises and real-world case studies, making complex IT concepts accessible for educators and IT professionals. He maintains an active presence in academic and professional circles through his publications and contributions to didactic IT education. Contact him via email or visit his website for resources.

Tijn FleurenView profile

Researcher

• Operations Research
• Supply Chain Management
• Production-Inventory Planning
• +7 more

Dr. Tijn Fleuren is a researcher and teacher at the Department of Econometrics and Operations Research within the Tilburg School of Economics and Management (TiSEM) at Tilburg University. His work focuses on optimizing production-inventory systems under uncertainty, with applications in high-tech, low-volume manufacturing supply chains. Institution: Tilburg University School: Tilburg School of Economics and Management Department: Department of Econometrics and Operations Research Email: T.W.A.Fleuren@tilburguniversity.edu ORCID: https://orcid.org/0000-0002-0925-6892 Office: Koopmans Building, Room K 423, Warandelaan 2, 5037 AB Tilburg, Netherlands His research lies at the intersection of operations research and supply chain management, with a strong emphasis on stochastic modeling, risk-aware decision-making, and integrated planning under uncertainty. Key themes include production-inventory optimization, customer portfolio selection, procurement planning, and dynamic supply chain configurations. His work often addresses real-world challenges in collaboration with industry leaders like ASML. The recent publications demonstrate a consistent focus on advanced optimization techniques applied to complex supply chain environments. These include multi-stage stochastic programming, conic quadratic programming heuristics, sampling-based methods, and deep reinforcement learning. The research spans both theoretical contributions—such as optimality conditions and bounds—and practical applicability, particularly in high-tech sectors with long lead times and customization requirements. Dr. Fleuren completed his doctoral studies at Tilburg University in January 2025, contributing significantly to the field through his dissertation on stochastic approaches in production-inventory planning. While no formal scientific awards are listed, his research outputs have been published in top-tier journals such as International Journal of Production Economics and Omega–International Journal of Management Science . He is actively involved in teaching courses such as Supply Chain Analytics and Introduction to Data Analysis. As a recent PhD graduate, he may be mentoring students informally, though no formal advisees are listed. His research has been supported through collaboration with industrial partners and academic grants, likely via CentER and the Operations Research Center at Tilburg University. Dr. Fleuren is affiliated with the Operations Research Center at TiSEM, where he contributes to a vibrant research environment focused on quantitative methods in economics and management. His ongoing work continues to advance methodologies for decision-making under uncertainty in complex, real-world supply chains.

Ashkan YousefpourView profile

Lecturer

• Computer Science
• Fog Computing
• Edge Computing
• +6 more

Ashkan Yousefpour is a Computer Scientist with a PhD from the University of Texas at Dallas , where he contributed to the FLOW project. He served as a Lecturer and research assistant at UT Dallas, while also working as a Visiting Researcher at UC Berkeley . His research spans Fog/Edge Computing , Federated Learning , Reinforcement Learning , and Distributed Systems . Current Role: AI Scientist at Meta Academic Affiliation: Department of Computer Science, University of Texas at Dallas Research Interests include: Minimizing IoT service delay through fog offloading Developing failure-resilient distributed neural networks (ResiliNet) Advancing privacy-preserving machine learning (Opacus, Papaya) Optimizing traffic flow with autonomous vehicles via reinforcement learning Advising : Supervised multiple graduate students including Ashish Patil , Harshavardhan Nalajala , and Brian Nguyen . Collaborated with researchers like Professor Alexandre Bayen (UC Berkeley) and Professor Cathy Wu (MIT) on traffic control frameworks such as Flow .

• Virtual Reality
• Human-Computer Interaction
• Collaborative Virtual Environments
• +4 more

Thierry Duval is a Professor in the Department of Computer Science (INFO) at IMT Atlantique , Brest campus. His work focuses on Virtual Reality (VR) , Human-Computer Interaction (HCI) , and 3D Interaction in collaborative environments.

• Computer Networking
• Internet Protocols
• Network Security
• +3 more

Marco Chiesa is an Associate Professor at the KTH Royal Institute of Technology in the Intelligent Network System Lab (INSight) group under the Division of Software and Computer Systems . His research focuses on computer networking, particularly Internet protocols and architectures, with emphasis on security, privacy, network design optimization, and Software Defined Networking (SDN) approaches. Current research areas: SDN, IXPs, stateful packet processing, network monitoring Teaching roles: Advanced Internetworking (IK2215), Computer Hardware Engineering (IS1200), Network Systems with Edge or Cloud Datacenters (IK2227) Email: mchiesa@kth.se Recent publications highlight advancements in high-speed packet processing, network security, and SDN applications. Key trends include leveraging programmable switches for stateful operations, improving BGP hijacking detection, and optimizing network monitoring on multi-pipeline architectures.

Socrates DokosView profile

Associate Professor

• Biomedical Engineering
• Computational Neuroscience
• Cardiology
• +4 more

Associate Professor Socrates Dokos is Deputy Head of the Graduate School of Biomedical Engineering at UNSW Sydney. His research focuses on computational modeling of electrical and mechanical properties in excitable tissues, with over 160 publications and a sole-authored textbook on Modelling Organs, Tissues, Cells and Devices . He leads interdisciplinary work combining computational modeling, systems identification, and experimental electrophysiology. Current IEEE EMBC Editor for Computational Systems & Synthetic Biology Member of EMBS Technical Committee on Therapeutic Systems and Technologies Key research areas involve Cardiac electrical and mechanical function modeling Retinal neural stimulation simulations Electroconvulsive therapy (ECT) optimization Biomechanical modeling of tissues and devices Parameter optimization for ionic cell models Cardiovascular-rotary blood pump interactions His recent publications demonstrate expertise in multi-scale biological modeling, cardiac hemodynamics, retinal prosthetics, and therapeutic neuromodulation techniques. He actively engages in developing standards for the Modeling Markup Language (MML) framework. Contact: Room 506, Samuels Building (F25), UNSW Sydney. Email: s.dokos@unsw.edu.au . ORCID: 0000-0002-7399-2712