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Economics and Business

  • prof. Sara Dolničar, University of Queensland, Australia
    Research projects: The research program Professor Dolničar is currently working on is developing and validating a new theory that explains, predicts, and elicits pro-environmental conduct in pleasure-focused settings like tourism. It is significant in challenging the assumption of conventional theories about universal drivers of human behavior, asserting instead that increased pleasure or changed infrastructure are needed to boost pro-environmental actions in hedonic contexts. The outcome and benefits will be in effective, evidenced-based social interventions that reduce the huge environmental burden of tourism and other pleasure-focused industries. Such interventions are urgently needed to manage the impacts arising from the extraordinary growth in sectors critical to the global economy.
  • prof. Andres Drenik, Columbia University, USA
    Research projects: Projects unifying macroeconomics, international economics and labor economics. A combined theme focuses on analysis of the diversity of anatomy of firms’ cost structure on the example of the US, using online data for international wage comparisons, and global income dynamics on the example of Argentina.
  • prof. Nuša Fain, Queen's University, Canada
    Research projects: Dr Fain’s research spans across the areas of strategy, entrepreneurship and innovation management, with an increased focus on implementation of open innovation practices into mature organizations. Research topics she is currently pursuing include, but are not limited to: start-up mindsets in corporate innovation, new venture creation in the gig economy and design thinking for business. The majority of her research projects are practice or case based, relying on qualitative methods of data collection and analysis, such as case studies, design sprints and netnography. The ASEF fellow would contribute to research in Strategy and Organization unit of Smith Business School, where the key research focus is on the strategies and structuring of organizations, and how they relate to their economic, institutional, and social environment.
  • prof. Matevž Rašković, Victoria University of Wellington, New Zealand
    Research projects: Prof. Rašković’s research interests focus on approaching international business phenomena through an economic sociology lens. His research focuses on the intersection of identity, culture and consumer behavior. His research in particular addresses issues related to generational cultures and their link to international consumer dispositions of young adults (i.e. consumer cosmopolitanism and ethnocentrism). A lot of his research is of comparative nature, focusing on Central and Eastern Europe and East Asia (China, Japan). His current research projects involve looking at within-country differences in consumer characteristics of Millennials in China. In another project, he is exploring the influence of indigenous cultures on internationalization patterns of firms in the South Pacific (especially New Zealand).
  • prof. Tina Saksida, University of Prince Edward Island, Canada
    Research projects: Dr. Saksida's research interests intersect the areas of organizational behaviour, human resource management, negotiation, and labour relations. Her recent projects explore such topics as gender and leadership, age and generational diversity at work, gender representation in business education, digitalization of work, and non-profit management (including unions). Interested candidates should have a strong background in research methods (or exhibit a willingness to learn), basic proficiency in statistical software (e.g., SPSS, Stata), a record of academic achievement in the areas of management, organizational psychology, or related fields, and advanced proficiency in English.
  • prof. Sergeja Slapničar, University of Queensland, Australia
    Research projects: Dr. Slapničar’s research interests focus on the effects of accountability, performance measuring and various incentives on human cognition and decision making (in particular risk-taking and motivation). She and her team research these topics in behavioral and neuroscientific experiments. In the next academic year she invites a student with information system background to join her on the project addressing the development of a cyber security scorecard comprised of a limited, comprehensible, quantifiable and causally linked set of key performance indicators together with best practices that would enable Boards of Directors to proactively engage in effective governance and management of cyber security risk, including promoting a healthy cyber security culture.


  • prof. Veronika Fikfak, University of Copenhagen, Denmark
    Research projects: Professor Fikfak offers posts on the Human Rights Nudge Project, which is supported by the European Research Council. The project aims to find new solutions, nudges and incentives for better human rights protection in Europe and beyond by investigating both what the Court expects of states and how states respond to its judgements. The Human Rights Nudge builds on insights from behavioural economics and psychology to analyse how money, language and shaming affect state behaviour. The project adopts a mixed-methods approach.The main objectives of the project are to quantitatively and qualitatively investigate when the current remedy architecture successfully nudges, cajoles, and encourages states to comply with judgments of the European Court of Human Rights and when it leads them to change their behaviour through norm and practice internalisation. In addition, students working at the intersection of human rights, international law and constitutional law, who wish to combine quantitative and qualitative methods are encouraged to pitch their own research proposals.
  • prof. John T. Plecnik, Cleveland State University, USA
    Research projects: Professor John T. Plecnik's scholarship focuses on the intersection of taxation and public policy, whereby he is currently focusing on a project themed “The Definition of Wealth”. Previous research papers have even been cited by the Supreme Court of the United States (article titled “Officers Under the Appointments Clause”).
  • prof. Verica Trstenjak, Sigmund Freud University, University of Vienna (LLM Program), Austria, University of Ljubljana, Slovenia
    Research projects: Professor Trstenjak’s research interests focus on the Law of the European Union, especially European constitutional and procedural law and legal protection in the EU. She also researches in the sphere of European civil law, European consumer protection, Copyright in the EU and Fundamental rights in the EU. Noteworthy are also the fields of Citizenship of the Union and Civil law.
  • prof. Urška Velikonja, Georgetown University, USA
    Research projects: Prof. Urška Velikonja teaches courses in securities regulation, securities enforcement, and contracts. She has assembled a database of all Security and exchange commision (SEC) enforcement actions filed since fiscal year 2007, a dataset that now includes more than 15,000 defendants and almost thirty enforcement characteristics of each enforcement action. Using that information, Professor Velikonja has authored a half-dozen academic research papers on various aspects of SEC enforcement.

Political and social studies

  • prof. Ana Bračič, Michigan State University, USA
    Research projects: Prof. Bračič's research is predominantly in the field of comparative politics and focuses on questions of human rights, discrimination, and the persistence of social exclusion. Prof. Bračič's mostly relies on lab-in-field and survey experiments that use innovative approaches to measurement, like videogames. In addition to working on their own research, the ASEF fellow would take part in a multi-week project preparing for and fielding an election exit poll in East Lansing, in fall 2020.
  • prof. Teja Pristavec, Biocomplexity Institute, University of Virginia
    Research projects: Dr. Teja Pristavec works on interdisciplinary projects using quantitative methods and big data to develop evidence-based research and inform effective decision-making in government and industry. She is particularly interested in spatial analysis, health, and inequality. Under the mentorship of Dr. Pristavec, ASEF fellows would be involved in the University of Virginia Biocomplexity Institute Social & Decision Analytics Division’s existing portfolio of projects, working closely with Dr. Pristavec, other Division faculty, and project stakeholders on problems ranging from measuring economic mobility to examining sub-county level barriers to health access. In addition, Fellows would have the option of participating in the Data Science for the Public Good Young Scholars program, an intensive 11-week summer training opportunity.
  • prof. Peter J. Verovšek, Sheffield University, UK
    Research projects: Dr. Peter J. Verovšek is a critical social theorist interested in the interconnection between democracy, capitalism and the nation-state. Working within international political theory, his past work has focused on how socially mediated collective memories serve as resources for political innovation in the aftermath of broad historical ruptures. Dr. Verovšek is eager to begin supervising students interested in nineteenth and twentieth century political theory, international political theory, critical theory, phenomenology and existentialism, transitional justice and the normative issues surrounding international migration and the European Union.


  • prof. Gašper Beguš, University of California, Berkeley, USA
    Research projects: His research focuses on developing deep learning models for speech data. More specifically, he trains models to learn representations of spoken words from raw audio outputs. He combines machine learning with behavioral experiments and statistical models to better understand how neural networks learn internal representations in speech and how humans learn to speak. He has worked and published on sound systems of various language families such as Indo-European, Caucasian, and Austronesian languages.
  • prof. Timothy J. O’Donnell, McGill University, Canada
    Research projects: In his research, dr. O’Donnell develops mathematical models of language generalization, learning, and processing. His research draws on experimental methods from psychology, formal modeling techniques from natural language processing, theoretical tools from linguistics, and problems from all three. He is currently studying the learnability of various mechanisms for handling wh- and other kinds of movement, developing a model of lexicon learning for non-concatenative morphological systems, such as the Arabic verbal system and extending this approach to capture ideas from the prosodic morphology literature.


  • prof. Hana Beloglavec, Louisiana State University, USA
    Research/Creative Activity: Performing trombone as a chamber musician and/or soloist in recitals. Performing trombone as an ensemble musician in orchestras and wind ensembles. Applicants need to include recordings of two-three pieces (movements and/or etudes) in contrasting styles with their application.


  • prof. Bojan Mohar, Simon Fraser University, Canada
    Research projects: Graph theory and combinatorics, especially its interplay with algebra (including linear algebra), geometry and topology. Theoretical computing, in particular algorithms on graphs, approximation algorithms, fixed parameter tractability, and computational geometry and topology.
  • prof. Mateja Šajna, University of Ottawa, Canada
    Research projects: Graph theory and combinatorial designs, more specifically, cycle decomposition of graphs, the Oberwolfach problem, eulerian properties of hypergraphs and designs, and applications of graph theory in science (particularly graph-theoretic analysis of fuzzy cognitive maps).

Computer science

  • prof. Jernej Barbič, University of Southern California, USA
    Research projects: Minimum requirement: undergraduate GPA at least 9.0 (Slovenian scale; or equivalent), or a research record at leading international publication venues. I am looking for a star, promising, student, who aspires to an academic career. The following are a plus: former high school math / cs / physics olympiad members, winners of undergraduate research/thesis awards. You should be interested in at least one of the following: computer graphics, mechanics, animation, numerical solution of partial differential equations (e.g., finite element method), applied mathematics, computational topology, geometric shape modeling, mechanical engineering, biomechanics, haptics, collision detection, anatomically based human modeling and simulation. Eligible majors: computer science, mathematics, physics, mechanical engineering.
  • prof. Sanja Fidler, University of Toronto, Canada
    Research projects: Dr. Fiddler’s work is in the area of Computer Vision. Her main research interests are 2D and 3D object detection, particularly scalable multi-class detection, object segmentation and image labeling, and (3D) scene understanding. She is also interested in the interplay between language and vision: generating sentential descriptions about complex scenes, as well as using textual descriptions for better scene parsing (e.g., in the scenario of the human-robot interaction).
  • prof. Mateja Jamnik, University of Cambridge, UK
    Research projects: Professor Jamnik's research projects focus on human intuitive reasoning while wanting to make computers think intuitively too. She builds computational models that capture human informal reasoning - by essentially trying to humanise computer thinking. She combines artificial intelligence (AI) reasoning with machine learning techniques, and applies them to personalise medicine and tutoring systems. Dr. Jamnik’s research is in the areas of artificial intelligence, human-like computation, machine learning, automated reasoning, diagrammatic reasoning, knowledge representation, theorem proving, cognitive science and human-computer interaction.
  • prof. Jure Leskovec, Stanford University, USA
    Research projects: The general research area of dr Leskovec is applied machine learning and data science for large interconnected systems. His projects focus on modeling complex, richly-labeled relational structures, graphs, and networks for systems at all scales, from interactions of proteins in a cell to interactions between humans in a society. Applications include commonsense reasoning, recommender systems, computational social science, and computational biology with an emphasis on drug discovery.
  • prof. Dawn Song, University of California Berkeley, USA
    Research projects: Dr Song’s research interests lie in deep learning, security, and blockchain. She combines these as, firstly, deep learning and program synthesis and analysis, secondly, as secure deep learning and artificial intelligence, and lastly, blockchain and decentralized systems. Her research also spans in the sphere of computer security, privacy, and applied cryptography, including security and privacy issues in systems, software, networking, and databases. In her research, Dr Song uses program analysis, algorithms design, and machine learning for security and privacy.
  • prof. Marinka Žitnik, Harvard University, USA
    Research projects: Projects focusing on new machine learning methods for large, rich data and on translation of the methods into solutions for problems in science and medicine. Representation learning in an effort to set sights on new frontiers in computational biology, genomics, and drug discovery. Fusion of biomedical data into knowledge graphs in an effort to learn and reason over data in their broadest sense. Applications of machine learning to problems in biology, medicine, and health.

Marine and Environmental Affairs

  • prof. Nives Dolšak, University of Washington Seattle, USA
    Research projects: Prof. Nives Dolšak studies environmental policy at the international, national, and sub-national level in the U.S. and in EU. Her current research projects examine (1) the role of civil society and media in environmental policy adoption; (2) private sector's activities in climate change mitigation and adaptation; and (3) the role of social media in corporate environmentalism.

Computational and Molecular Biology

  • prof. Klementina Fon Tacer, Texas Tech University School of Veterinary Medicine, USA
    Research projects: The overarching aim of Dr. Fon Tacer’s research is to uncover novel mechanisms that have evolved to protect mammalian germ cells against stress, discover how and why they were co-opted in cancer, and ultimately apply the insights learned for the advancement of cancer treatment, fertility preservation, and conservation of endangered species. To address these questions her group employs a multidisciplinary approach, combining techniques from classical molecular biology and biochemistry to single-cell technology, genome editing, omics analysis, mouse physiology, and biostatistics. With an interdisciplinary program and comparative approach, Dr. Fon Tacer plans to interconnect veterinary and human medicine to ultimately benefit both, animal and human wellbeing and health. Prospective students can work in the area of human or animal cancer biology, germ cell biology, and reproduction.
  • prof. Boštjan Kobe, University of Queensland, Australia
    Research projects: Dr Kobe's research interests are in protein structure and function, with the emphasis on understanding the structural basis of intra- and intermolecular interactions formed by these macromolecules. The primary technique used in the laboratory is X-ray crystallography, combined with a plethora of other molecular biology, biophysical and computational techniques. His current projects include the structural genomics of macrophage proteins, understanding the mechanism and specificity of nuclear import and structural basis of signal transduction. Dr Kobe’s research also spans in the field of structural basis of plant disease resistance and development, as well as molecular and structural basis of retroviral and dengue virus membrane fusion.
  • prof. Jernej Murn, University of California, Riverside, USA
    Research projects: Dr. Murn believes that how gene expression is controlled at the RNA level to support cellular function is arguably the most important unsolved problem in molecular biology. His project’s primarily focus on understanding the proteins that bind to RNA and serve as its effectors and regulators. His investigations are in the field of mechanistic principles and phenotypic impact of RNA-binding proteins in two cellular paradigms: 1) cell lineage commitment, especially differentiation of human pluripotent stem cells to neurons, and 2) stem cell maintenance, with an eye toward a related process of cancer development. With his team, they employ a broad range of biochemical, genetic, cellular, and computational approaches to obtain a systems-level understanding of the regulatory roles of protein-RNA complexes. In his research, Dr. Murn also develops novel methods combining bioengineering, genome editing, and optogenetics to study how disruption of protein-RNA interactions contributes to neurological disorders.
  • prof. Andrej Šali, University of California, San Francisco, USA
    Research projects: We aim to develop and apply computational methods for integrative determination of the structures and dynamics of macromolecular assemblies, in turn informing the function and evolution of these systems as well as how to modulate them. The broad goal is to contribute to a predictive spatiotemporal model of the cell. This goal is being achieved by a formal integration of experiment, physics, and statistical inference, spanning all relevant size and time scales. Our computational methods are implemented in the open source Integrative Modeling Platform package (IMP) and the resulting models are deposited in the PDB-Dev database. This research enhances the discovery of general principles that underlie all cellular processes, which in turn also facilitates drug discovery.
  • prof. Jernej Ule, The Francis Crick Institute, UK
    Research projects: We use transcriptomic approaches to study the roles of ribonucleoprotein complexes (RNPs) in the development of nerve cells and to understand how these roles have evolved. We have developed iCLIP (individual-nucleotide resolution CLIP) and hybrid iCLIP (hiCLIP), along with new computational tools, to identify protein-RNA and RNA-RNA contacts quantitatively and with high resolution. We thereby identify the RNA motifs, structures and positional regulatory patterns (RNA maps), which affect the assembly and function of RNPs, and this helps us to design new antisense RNA therapies. We also study the disordered regions of proteins and their roles in the phase separation properties of RNPs, which is important given that aggregation of RNP have been linked to several neurodegenerative diseases.


  • prof. Gregor Gorjanc, University of Edinburgh, UK
    Research projects: Gregor uses data science, genetics/genomics and breeding to manage and improve populations in diverse settings. For example, (a) to increase the efficiency of producing food, feed, and fibre, (b) to study and remove genetic defects in companion animals, and (c) to protect diversity of populations in the wild or captivity. Gregor is specifically interested in: (i) applied genetics and breeding, (ii) design and optimisation of breeding programs, (iii) methods for population and quantitative/statistical genetics/genomics and breeding, and (iv) analysis of complex traits to unravel their biological basis.

Medicine and Dentistry

  • prof. Janina Golob Deeb, Virginia Commonwealth University, USA
    Research projects: Clinical rotations can be arranged in undergraduate general dental clinics, graduate clinics in Advanced Education in General Dentistry, Periodontics, Endodontics, Orthodontics, Pediatric Dentistry and Oral Maxillofacial Surgery. Research activity in fields of: Dynamic and Static Navigation in Oral Implantology, Analysis of different bone grafting techniques for ridge augmentation for implant site development, Evaluation of soft tissues on intraoral scans.
  • prof. Dimitri Krainc, Northwestern University, USA
    Research projects: The overarching goal of Dr. Krainc's research is to study molecular mechanisms of neurodegeneration, focusing on Parkinson’s and Huntington’s disease, to facilitate the development of targeted therapies. In the area of PD, his group identified a positive feedback loop between alpha-synuclein and glucocerebrosidase in sporadic and genetic forms of PD (Mazzulli et al, Cell, 2011). They also described convergence of mitochondrial and lysosomal dysfunction in midbrain neurons from PD patients (Burbulla et al, Science, 2017), as well as direct contacts between lysosomes and mitochondria (Wong et al, Nature, 2018). ​Prospective students can work in the area of neurogenetics, cell and molecular biology.
  • prof. David Križaj, University of Utah, USA
    Research projects: Professor Križaj's laboratory is interested in the relationship between intracellular signaling pathways and neurotransmission in the retina. The lab is interested in how non-conventional signaling pathways such as intracellular calcium stores, calcium transporters and store-operated calcium channels collaborate with voltage-operated signals to modulate graded exocytosis. For example, recent experiments elucidated the roles of ryanodine receptors, mitochondria and TRPC channels in spatiotemporal calcium signaling in photoreceptors, glial cells and retinal ganglion neurons. Other projects focus on how TRP channels integrate temperature, mechanical stress and lipid signals, and how translation of these sensory inputs impacts on parallel light-evoked inputs and survival in ganglion cells. A third project is focused on using in vivo multiphoton imaging to define the physiology of microglia within the retina.
  • prof. Mihaela Pavličev, University of Vienna, Austria
    Research projects: Dr. Pavličev’s interest is in the organismal features that enable evolvability of complex organisms. She believes, that in order to understand phenotypic evolution, we need to understand what patterns of heritable phenotypic variation the developmental/physiological systems are able to produce, what are the consequences of specific patterns of variation over short terms (population genetic scale) and long terms (species divergence observed in comparative biology) under selection and drift, and how the patterns of variation themselves evolve. One recurring evolutionary phenomenon is the decoupling of variation between traits, and subsequent individuation of parts and the origin of new biological units. In this context, Dr. Pavličev’s work pertains to the role of pleiotropy and interactions in this process. She pursues these questions of evolvability and individuation in theory as well as in empirical work on the evolution of limbs and of the mammalian female reproductive system.


  • prof. David Sarlah, University of Illinois at Urbana–Champaign, USA
    Research projects: Dr. Sarlah’s research interests span from the synthesis of complex, biologically active natural products and the related chemical biology to methodology development. Central to Dr Sarlah’s research program is the advancement of the science of synthesis. His research group is involved in natural products chemistry and synthesis, reaction innovation and design including asymmetric catalysis. The overall aim is to provide new solutions to the problems encountered at the frontline of organic synthesis that benefit chemistry and enable advances in the allied fields of chemical biology, material science, and medicine.


  • prof. Maruša Bradač, University of California Davis, USA
    Research projects: The cosmic Dark Ages (time when the Universe was filled with neutral hydrogen that acts like fog and makes the Universe opaque to visible light) are thought to have ended around 500 million years after the Big Bang when early light sources produced enough energetic photons to ionize the neutral hydrogen. This era is referred to as reionization and is also an era of the formation of the first galaxies. But when exactly did reionization occur and how long did it last? What were the sources responsible for ionizing the neutral gas? Was it the first galaxies? Now for the first time we can peer far enough into space (and therefore backwards enough in time) to answer these questions. In this project, researchers will use galaxy clusters as cosmic telescopes that, similar to ordinary glass lenses, magnify objects behind them. We will look for magnified galaxies that formed in the early history of the Universe. The researchers will have access to the data from the best telescopes, Spitzer, Hubble Space Telescope HST, and the new James Webb Space Telescope JWST in the future, that play complimentary roles in this effort.
  • prof. Kristjan Haule, Rutgers University, USA
    Research projects: Professor Haule's research specialties are in condensed matter theory, with major interests in electronic structure theory for correlated electron solids and algorithm development which combines the dynamical mean field theory and density functional theory. He is especially known for the development of predictive theories for correlated electron solids and the implementation of a powerful Embedded DMFT code (EDMFTF). Dr Haule joined Comscope in 2015 and supports the center with his EDMFTF software. As a researcher he works in theoretical condensed matter physics, development of theoretical tools, concepts, and algorithms to describe and predict behavior of many-body quantum systems, properties of solids under extreme conditions, and finding novel quantum states.
  • prof. Robert Jeraj, University of Wisconsin-Madison, USA
    Research projects: The main research focus of the Image-Guided Therapy Group is understanding tumor heterogeneity, and the related origins and development of treatment resistance. We are studying tumor heterogeneity and treatment resistance in numerous clinical trials with extensive imaging endpoints for different types of interventions, such as radiation therapy, chemotherapy and molecular targeted therapies (e.g., VEGFR TKI, AR-directed therapies). We are developing a number of imaging biomarkers based on quantitative molecular imaging techniques to quantify spatio-temporal development of tumor heterogeneity and treatment resistance. We are modeling tumor progression based on imaging inputs to better understand complex relationships leading to tumor heterogeneity and treatment resistance.
  • prof. Andrej Prša, Villanova University, USA
    Research projects: Computational astrophysics, involving the development of the theoretical framework for modeling eclipsing binary and multiple systems, solving the radiative transfer problem in contact binaries, parameter estimation using machine learning and artificial neural networks, modeling transiting exoplanets and circumbinary objects with Kepler/K2 and TESS data, developing variable star metrics for the ongoing mission Gaia and upcoming Large Synoptic Survey Telescope.
  • prof. Uroš Seljak, University of California Berkeley, USA
    Research projects: Theoretical, observational, and numerical astrophysics and cosmology, data science applied to large astronomical datasets and other applications. A few examples: physics based generative models in cosmology, optimal extraction of parameters in models with very high dimensional planet detection using timing transit variations, analysis of time stream data with generative models, counter-factual analysis of econometrics data, gravity wave analysis of LIGO, uncertainty quantification with Bayesian posterior analysis, evaluation of normalizing constant etc.
  • prof. Jure Zupan, University of Cincinnati, USA
    Research projects: Theoretical particle physics with emphasis on rare processes involving flavor changing neutral currents, the properties of dark matter both in direct and indirect detection, as well as collider physics, including Higgs physics. Major common themes are searches beyond the standard model, uses of effective field theories, and applications of machine learning.

Mechanical Engineering

  • prof Andrej Košmrlj, Princeton University, USA
    Research projects: Dr. Košmrlj is interested in theoretical and computational research of complex systems ranging from materials science to the physics of living systems. His current research includes the design and mechanics of metamaterials, where geometrical shape of structures gives rise to unusual material properties. This includes the role of geometry and topology on the mechanics of structures both at the macro-scale and at the micro-scale, where effects of thermal fluctuations and disorder could be important if one wants to design flexible electronics, sensitive force sensors or micro-actuators. Dr Košmrlj’s current research also investigates the role of mechanics in biological systems, such as mechanics in morphogenesis during embryo development.


  • prof. Miloš Žefran, University of Illinois at Chicago, USA
    Research projects: Dr. Žefran’s research ranges from human-robot interaction, cyber-physical systems and robot networks to numerical optimal control, and haptics. Specific topics include human-robot interfaces for the elderly; distributed control of heterogeneous mobile sensor networks; real-time monitoring of cyber-physical systems with applications to automotive control and rehabilitation; model predictive control for switched and hybrid systems; and teaching of sensorimotor skills through haptics.
  • prof. Mitja Trkov, Rowan University, USA
    Research projects: Robotics and physical human-machine interactions in biomedical applications. We use analytical and experimental approaches that integrate dynamics and control, mathematical modeling, and use of experimental platforms with human subject testing to develop new principles and tools. These principles are applicable for robotic applications in soft robotics, rehabilitation, and biomedical engineering fields.

Electrical Engineering

  • prof. Domen Novak, University of Wyoming, USA
    Research projects: Dr. Novak's main research areas are rehabilitation engineering and general human-machine interaction. They are interested in information that machines can obtain about humans' performance, intention, and emotional states via sensors such as heart rate, electromyography, electroencephalography, eye tracking etc. Furthermore, they are interested in how machines can help humans improve their health and well-being using virtual environments, wearable devices, and other approaches. To achieve their goals in this area, they make use of expertise in robotics, biomedical signal processing, sensor fusion and virtual reality.
  • prof. Gregor Verbič, University of Sydney, Australia
    Research projects: Dr. Verbič’s research is contributing towards the transformation of the current electricity infrastructure into a ‘smart’, electronically automated system that delivers services to customers more economically and with improved energy efficiency. His expertise spans power system operation, stability and control, and electricity markets. To solve challenging research problems that arise in the nexus between power systems, decision theory and data science, Dr Verbic uses applied optimisation, machine learning, data analytics and game theory. His research interests focus on grid and market integration of renewable energies and distributed energy resources, future grid modelling and scenario analysis, wide-area coordination of distributed energy resources, and demand response. His main recent focus has been on harnessing the untapped potential of behind-the-meter distributed energy resources, including rooftop solar, battery storage and electric vehicles, to be used as a system resource while minimizing energy expenditure for the end-user.

Civil Engineering

  • prof. Jurij Karlovšek, University of Queensland, Australia
    Research projects: A significant proportion of total annual shotcrete volume used in Australia goes into the construction of underground lining support. Unplanned cracking of lining is serviceability related problem that continues to occur in a large number of structural elements. The aim of the present investigation is to establish a relationship between the restrained shrinkage behaviour of shotcrete ring specimens and shrinkage in tunnelling lining construction. We are currently working with University of Ljubljana in mechanically and experimentally solving this problem.

Digital Heritage and Virtual Museums

  • prof. Kaja Antlej, Deakin University, Australia
    Research projects: Interdisciplinary projects in the area of digital heritage and virtual museums at the intersection of heritage interpretation/museum communication, human-centered experience design, human-computer interaction and visitor/user experience studies. At Deakin’s CADET Virtual Reality Lab lead by Associate Professor Ben Horan - amongst other areas dedicated to training and simulation - we explore how to develop, design and evaluate engaging and immersive museum/heritage experiences using Virtual Reality (VR), Augmented Reality (AR), Mixed Reality (MR), Extended Reality (XR), serious/applied games and additive manufacturing or 3D printing.

Geoinformation Sciences and Urban Planning

  • prof. Alenka Poplin, Iowa State University, USA
    Research projects: Her research interests include serious online games and games for change, online geogames for civic engagement, big data for smart cities, happy cities, emotions related to places, mapping emotions in a geographic information system (GIS). She is actively involved in the project Big Data for Sustainable City Decision-Making. Her recent publications include articles in the International Journal of Geo-Information, Journal of Urban planning and Development, as well as Games and Play in the Creative, Smart and Ecological City.

Frequently Asked Questions

What are the important dates?
Call for applications opens on October 14, 2020. The first closing date is December 1, 2020. Applications received by December 1, 2020, will be reviewed immediately after the closing date. Beyond that date, applications will be considered on a rolling basis until January 1, 2021. Final decisions will be made by January 15, 2021.
When will the research visit take place?
The exact time of the research visit is flexible and will be discussed with the particular research group and the professor. Generally, most visits tend to take place during the summer (June to September 2021) with some exceptions.
What if I will not be able to go abroad for the 10-week research visit on the agreed date due to COVID-19 travel restrictions?
ASEF Junior Fellows Program is a 3-year program. In case of complications, ASEF will work with Junior Fellows individually to try to make the 10-week research visit possible (for example, the research visit can be postponed or performed in a virtual form).
How will the expenses of the research visit be covered?
ASEF will work with Junior Fellows to identify funding sources to help cover all expenses of the research visit: airfare, housing, and living expenses. Whenever possible, students will stay with a Slovenian family and then work with the professor at a university.
What are the Junior Fellow’s responsibilities and obligations to ASEF?
Junior Fellows are appointed to ASEF Society of Fellows for three years. During that time they are expected to regularly attend all of the Society events, public lectures and other events organized by ASEF. Further, fellows participate in ASEF promotional activities, help advertise ASEF Fellowship programs, and act as peer mentors to incoming fellows by helping them learn about the culture of their host country. Junior Fellows are highly encouraged to engage in activities, including research projects and collaborations with other Junior Fellows, professors and research groups in the ASEF network, leadership and career development workshops, communication training, and coaching.
Are Slovenian students who study abroad full-time or participate in the Erasmus+ exchange program eligible to apply?
Yes, also Slovenian students studying abroad are eligible to apply. Participation in the Erasmus+ exchange program or other programs of study visits or internships abroad does not affect eligibility for the ASEF Junior Fellows program. ASEF will work with Junior Fellows individually to find a solution if they will not be able to attend all the events organized by ASEF because of staying abroad.
Are full-time employed students (e.g. PhD students with the status of young researchers) eligible to apply?
Yes, also employed students are eligible to apply.
Do students need health insurance?
Students need health insurance. In some cases, your host/professor/university will provide health insurance, or in other cases, you will be responsible for it. Please check with your ASEF professor.
What is the review procedure?
In addition to considering the research plan and recommendations presented in each application, the Scientific Advisory Committee must give weight to the many intangibles involved, including interpretation of the Foundation's objectives. The Committee ranks the candidates and the Board of Directors then votes to approve the fellowships.
What are the core values of ASEF?
The core values of ASEF are academic excellence, character formation, and dedicated service. ASEF is committed to these core values, which guide us in carrying out our mission and realizing our vision.

  • Academic Excellence: We seek an uncompromising standard of excellence in teaching, learning, creativity, and scholarship within and across disciplines.
  • Character Formation: We seek to form the whole person: men and women distinguished by intellectual rigor, moral character, community building and the ability to make ethical decisions.
  • Dedicated Service: We seek to prepare global citizens who advocate for the benefit of humanity and contribute to the intellectual, economic, religious and cultural vitality of society by serving those with the least access to power and privilege in order to promote the flourishing of all.
Who were past ASEF Junior Fellows?
2020: (Click Here For More Information)
- Matej Corn (prof. David Sarlah, University of Illinois at Urbana-Champaign)
- Karin Dobravc Škof (prof. Gregor Gorjanc, University of Edinburgh)
- Sara Ermenc (prof. Urška Velikonja, Georgetown University)
- Tina Fijavž (prof. David Križaj, University of Utah)
- Tajda Klobučar (prof. Jernej Ule, The Francis Crick Institute)
- Sara Košenina (prof. Boštjan Kobe, University of Queensland, Australia)
- Dafne Marko (prof. Gašper Beguš, UC Berkeley)
- Ana Pintar (prof. Nuša Fain, Queen's University)
- Gašper Podobnik (prof. Mateja Jamnik, University of Cambridge)
- Pavlin Poličar (prof. Marinka Žitnik, Harvard University)
- Tim Poštuvan (prof. Jure Leskovec, Stanford University)
- Tim Prezelj (prof. Mihaela Pavličev, University of Vienna)
- Domen Ribnikar (prof. Robert Jeraj, University of Wisconsin-Madison)
- Mariana Rožanec (prof. Matevž Raškovič, University of Wellington, Victoria)
- Tadej Satler (prof. Andrej Šali, University of California, San Francisco)
- Krištof Skok (prof. Andrej Prša, Villanova University)
- Tine Starič (prof. Sergeja Slapničar, University of Queensland)
- Luka Školč (prof. Andrej Košmrlj, Princeton University)
- Blaž Škrlj (prof. Jure Leskovec, Stanford University)
- Nejc Urankar (prof. Ana Bračič, Michigan State University)
- Vesna Marija van Midden (prof. Dimitri Krainc, Northwestern University)
- Nina Zupančič (prof. Mihaela Pavličev, University of Vienna)

2019: (Click Here For More Information)
- Jaš Bensa (prof. Kristjan Haule, Rutgers University)
- Mariša Cvitanič (prof. Jernej Ule, Institute Francis Crick)
- Klemen Drnovšek (prof. Nives Dolšak, Washington University)
- Marko Drobnjak (prof. Gašper Beguš, Washington University)
- Lara Dular (prof. Sanja Fidler, University Toronto)
- Benjamin Fele (prof. Dawn Song, Berkeley University, California)
- Anžej Hladnik (prof. Matija Peterlin, UCSF)
- Tanja Janko (prof. Dimitri Krainc, Northwestern University)
- Lara Jerman (prof. Mateja Jamnik, University of Cambridge)
- Domen Kanduti (prof. Janina Golob Deeb, Virginia Commonwealth University)
- Primož Kocbek (prof. Jure Leskovec, Stanford University)
- Nejc Kosanič (prof. Andrej Prša, Villanova University)
- Juš Kosmač (prof. Jernej Barbič, University of Southern California)
- Taja Ložar (prof. Robert Jeraj, University of Wisconsin Madison)
- Urška Matjašec (prof. Mateja Jamnik, Cambridge University)
- Jakob Murko (prof. Jure Leskovec, Stanford University)
- Pia Marija Oblak (prof. Jernej Murn, University of California, Riverside)
- Jana Obšteter (prof. Gregor Gorjanc, University of Edinburgh)
- Andraž Oštrek (prof. David Sarlah, University of Illinois, Urbana-Champaign)
- Damjan Panić (prof. Domen Novak, University of Wyoming)
- Uroš Prešern (prof. Andrej Šali, UCSF)
- Lenart Škrjanc (prof. Janina Golob Deeb, Virginia Commonwealth)
- Aljaž Suhadolnik (prof. Matevž Raškovič, University of Wellington, Victoria)
- Anja Tušar (prof. Boštjan Kobe, Queensland University)
- Urša Uršič (prof. Boštjan Kobe, Queensland University)
- Sabina Veršič (prof. Tina Saksida in prof. Nuša Fain, Prince Edward Island University & Queen's University)

2018: (Click Here For More Information)
- Lucija Dežan (University of Oklahoma, Political Science)
- Lara Gubeljak (University of Utah, Medicine)
- Barbara Ikica (Stanford University, Computer Science)
- Petra Janež (Georgetown University, Law)
- Erik Janežič (University of Toronto, Computer Science)
- Peter Kmecl (University of Wyoming, Electrial Engineering)
- Petra Kukanja (UC San Francisco, Molecular Biology)
- Luka Lapajne (University of Utah, Medicine)
- Blaž Leban (Villanova University, Astrophysics)
- Matevž Marinčič (Princeton University, Mechanical Engineering)
- Nina Mrzelj (Stanford University, Computer Science)
- Kristjan Nemac (University of Washington Seattle, Marine and Environmental Affairs)
- Rok Razpotnik (UC Riverside, Molecular Biology)
- Aba Reberc (University of Sheffield, Political Science)
- Jakob Robnik (UC Berkeley, Physics)
- Marko Rus (UC Berkeley, Computer Science)
- Aleks Smolkovič (University of Cincinnati, Physics)
- Anja Sotošek (Virginia Commonwealth University, Dentistry)
- Jan Zavodnik (Princeton University, Mechanical Engineering)

2017: (Click Here For More Information)
- Gorazd Čibej (Harvard University, Law)
- Teja Golobič (Cleveland State University, Law)
- Kaj Jež (University of Washington Seattle, Marine and Environmental Affairs)
- Žiga Gosar (Princeton University, Mechanical Engineering)
- Jaka Kukavica (Georgetown University, Law)
- Urška Lampret (University of Sheffield, Political Science)
- Marija Lukič (Virginia Commonwealth University, Dentistry)
- Tilen Marc (Stanford University, Computer Science)
- Aleš Omerzel (UC Berkeley, Computer Science)
- Ajda Rojc (UC San Francisco, Biology)
- Luka Starčevič (Princeton University, Mechanical Engineering)
- Robert Vidmar (UC San Francisco, Biology)
- Angelika Vižintin (University of Cincinnati, Evolutionary Biology)
- Patrik Zajec (Stanford University, Computer Science)

2016: (Click Here For More Information)
- Aleksandar Dimitriev (Stanford University, Computer Science)
- Veronika Cencen (Princeton University, Mechanical Engineering)
- Vid Kocijan (Stanford University, Computer Science)
- Neven Polajnar (Harvard University, Political Science)
- Joze Rožanec (UC Berkeley, Computer Science)
- Jan Rozman (Princeton University, Mechanical Engineering)
- Matej Srebre (UC Berkeley, Physics)
- Kaja Travnik (Harvard University, Political Science)
- Matej Vizovišek (UC San Francisco, Biology)

2015: (Click Here For More Information)
- Aljaž Gaber (UC San Francisco, Biology)
- Filip Kozarski (UC Berkeley, Astrophysics)
- Andraž Hribernik (Stanford, Computer Science)
- Peter Us (UC Berkeley, Computer Science)

2014: (Click Here For More Information)
- Matej Cepin (University of Santa Clara, Social studies)
- Niko Colnerič (Stanford, Computer Science)
- Marinka Žitnik (Stanford, Computer Science)

Feel free to reach out to them directly and ask them about their experiences.

What is ASEF Society of Fellows?
Please read this document to learn more about ASEF Society of Fellows, its program and activities, and a statement of ideals for new members of the Society.

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