Find Academic Supervisors

Daniela FiedlerView profile

Lecturer

• Educational Psychology
• Social Psychology
• Differential Psychology
• +3 more

Dr. Daniela Fiedler serves as a Lecturer at the University of Rostock, contributing to academic instruction and research initiatives within the institution's educational framework. Her research expertise spans critical domains in psychology and education: Educational Psychology Social Psychology Differential Psychology Psychological Diagnostics Learning Psychology Heterogeneity in Educational Settings Dr. Fiedler's teaching portfolio includes specialized courses for teacher training programs: Research Project Seminar - Fundamentals of Educational Psychology (Social Psychology, Differential Psychology, and Educational-Psychological Diagnostics) Research Project Seminar - Advanced Learning Psychology "Training Seminar - Self-Competencies in Adolescence" Research Project Seminar - Diagnostics Project Group: "Frostig's Developmental Test of Visual Perception - 3" Dual Qualification for Trainees at Regional Schools - Diagnostic Competencies in Heterogeneous Classrooms Dual Qualification for Trainees at Regional Schools - Socio-Psychological Approaches to Classroom Heterogeneity Research Project Seminar - Chess and School: Diagnostics of Cognitive Traits, Concentration, Memory, and Social Competence Her research demonstrates consistent focus on cognitive development, diagnostic methodologies, and socio-educational dynamics, particularly through longitudinal projects examining adolescent self-competencies and visual perception metrics. Dr. Fiedler actively supervises student research through project seminars and block courses, mentoring trainee teachers in applied psychological diagnostics and classroom management strategies for diverse student populations. She leads the "Chess and School" research initiative investigating intersections between strategic gameplay, cognitive development, and social competence in educational contexts through hands-on diagnostic frameworks.

• Stage Design
• Costume Design
• Theatre Design
• +2 more

Judith Oswald serves as a Professor of Stage Design and Costume at the Academy of Fine Arts Munich (Akademie der Bildenden Künste München), maintaining her studio in the Old Building (A.O2.65). Her position falls under the Professors category within the academy's academic staff structure. Her research and pedagogical focus centers on theatrical production design, integrating historical costume practices with contemporary stagecraft. This discipline bridges visual arts, performance theory, and material culture, emphasizing hands-on creation of sets and costumes that serve narrative and expressive purposes in live performance contexts. As an active faculty member during the 2025/2026 academic year, she participates in institutional events including the Debutantes exhibition at Kunstverein München and the upcoming Diploma Exhibition 2026.

• Global Surgery
• Cancer Care Delivery
• Health Disparities
• +5 more

Dr. Shilpa S. Murthy serves as Assistant Professor of Surgery (Colon and Rectal) at Yale School of Medicine with secondary appointments in Cancer Prevention and Control and Medical Oncology and Hematology. She practices clinically at the West Haven Veterans Affairs Hospital while leading research at the Yale Cancer Center focused on underserved populations. Her educational journey includes: BS (High Honors) in Molecular Cellular and Developmental Biology, University of Michigan (2005) MD, Pennsylvania State University College of Medicine (2010) MPH in Global Health and Population, Harvard T.H. Chan School of Public Health (2014) General Surgery Residency, Indiana University (2018) Colorectal Fellowship, Leeds Teaching Hospitals NHS Trust (2021) Surgical Oncology Global Cancer Disparities Fellowship, Memorial Sloan Kettering (2022) Dr. Murthy's research bridges surgical oncology and public health to address cancer care inequities through three interconnected pillars: global surgery capacity building (evidenced by 10+ Nigeria-focused publications), veteran healthcare optimization , and disparities research in minority populations. Her work uniquely combines WHO-level policy development with frontline clinical implementation. Analysis of her 15 most recent publications reveals dominant themes in global cancer systems (40%), health disparities (30%), and surgical outcomes research (30%), with increasing focus on workforce development and implementation science since 2023. Her scientific recognition includes: Surgical Resident Humanitarian/Volunteerism Award (2015) Lancet Commissioner for Global Cancer Surgery Reports WHO contributor on cancer mortality and workforce studies Dr. Murthy mentors through Yale's Cancer Prevention and Control program and VA Hospital collaborations, with active projects spanning Nigeria, US veteran facilities, and WHO policy initiatives. Her research is supported by Yale Cancer Center infrastructure and international partnerships including Memorial Sloan Kettering and Leeds Teaching Hospitals. Current team activities focus on expanding the Nigerian colorectal cancer cohort, developing cancer registry implementation frameworks, and analyzing surgical disparities in AAPI populations through Yale's Smilow Cancer Hospital infrastructure.

Philipp UnberathView profile

Professor

• Artificial Intelligence in Healthcare
• Biomedical Informatics
• Cancer Genomics
• +4 more

Philipp Unberath serves as Professor of Psychology at SRH University since 2022, holding a habilitation in psychology from Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) awarded in 2023. His career bridges clinical psychology practice and biomedical informatics innovation, with prior roles including 18 years as Research Assistant at FAU (2004-2022) focusing on legal psychology and developmental disorders. His research integrates artificial intelligence with healthcare through two complementary threads: Biomedical Informatics: Leading technical development of cancer genomics platforms (cBioPortal extensions, molecular tumor board systems, clinical decision support tools) Clinical Psychology: Specializing in developmental/abnormal psychology, legal psychology, and prevention programs for children/families This dual expertise enables human-centered design of healthcare IT systems that address both technical and psychological dimensions of patient care. Analysis of his 15 most recent publications (2019-2023) reveals a strategic pivot toward precision oncology informatics, with 80% of recent work focused on genomic data integration, molecular tumor boards, and clinical decision support systems. His psychological background informs usability studies and workflow implementations, creating a distinctive niche at the AI-healthcare-psychology intersection. Scientific recognition includes: Bavarian doctoral scholarship (2002-2004) Continuous high-impact publication in biomedical informatics (JMIR, Cancers, BMC Med Inform) As an active principal investigator, Prof. Unberath directs grant-funded projects developing clinical-genomic integration platforms. His supervision approach combines technical mentorship in health informatics with clinical psychology perspectives, preparing students for interdisciplinary healthcare innovation roles. Current work focuses on real-world implementation of AI-driven decision support in oncology settings.

Ulrich EiseneckerView profile

Professor

• Software Engineering
• Generative Software Development
• Software Product Lines
• +5 more

Professor Ulrich Eisenecker serves as the Director of the Institute for Business Informatics at Leipzig University's Faculty of Economics and Business Administration. He holds the Chair of Business Informatics with specialization in software development for business and administration, a position he has maintained since October 2004. Prior to this, he served as Dean of the Faculty (2012-2016) and Pro-Dean (2008-2012). His academic journey includes professorships at Kaiserslautern University of Applied Sciences (1999-2004) and Heidelberg University of Applied Sciences (1995-1999), following research positions at Daimler-Benz Research Institute and Mannesmann Kienzle GmbH. Professor Eisenecker's research focuses on Generative Software Development , Software Product Lines , Software Visualization (including 2D, 3D, AR and VR applications), and E-Assessment systems . His work bridges theoretical computer science with practical business applications, particularly evident in his application of set theory to software features and product lines. He leads the ongoing 'Visual Software Analytics' project and has previously directed projects funded by the European Social Fund and German Federal Ministry of Education and Research. His publication record spans over two decades, highlighted by the influential 2000 book 'Generative Programming' co-authored with K. Czarnecki and the 2017 Most Influential Paper Award from the Software Product Line Conference. Recent work (2023-2025) continues to advance software engineering and educational technology, particularly in automated assessment systems using AI techniques. Notable recognition: Most Influential Paper Award from Software Product Line Conference 2017 (SPLC 2017) Professor Eisenecker supervises doctoral and master's students, with numerous successful completions including Dr. Richard Müller, Dr. Max Lillack, and Dr. Johannes Kristan. His research group includes several scientific staff members and regularly publishes with student co-authors. He teaches 'Introduction to Computer Science' for economics students, 'Programming,' and 'Software Engineering' courses, integrating his research in automated feedback systems into his pedagogy. His research group maintains strong connections between academic research and practical applications, particularly through open source initiatives and industry collaborations focused on software analytics and educational technology.

• Oral Surgery
• Dentistry
• Medical Education
• +2 more

Dr. Gordon John serves as Senior Consultant at the Department of Oral Surgery and Admissions within the Faculty of Medicine at Heinrich Heine University Düsseldorf (HHU). His role uniquely bridges clinical practice and medical education, specializing in hands-on surgical training through innovative formats like the 'Schweinekieferkurs' (pig jaw course) for tooth extractions and suturing. His expertise centers on Oral Surgery , Dentistry , and Medical Education , with emphasis on sensory-based learning where students internalize visual, olfactory, and tactile surgical cues through direct patient interaction. Dr. John champions experiential training over theoretical instruction alone, recognizing that 'experiencing firsthand is essential' for surgical competence. Recognized through multiple nominations for the Medical Teaching Award (including 2021), his student-centered approach features: Flexible pandemic adaptations using MS Teams while preserving in-person practicals Informal student interactions to reduce procedural anxiety Integration of patient communication as core surgical skill Dr. John actively mentors students in clinical settings, focusing on building confidence through psychological safety nets during high-stress procedures. His current initiatives target surgical education infrastructure improvements, particularly live procedure broadcasting and operating room screen installations to enhance observational learning capacity.

Jan FröhlichView profile

Professor

• High Dynamic Range (HDR)
• Wide Color Gamut (WCG)
• Image Encoding
• +5 more

Prof. Dr. Jan Fröhlich is a Professor for Motion Picture Engineering at Stuttgart Media University (HdM), specializing in advanced imaging technologies. His research focuses on high dynamic range (HDR) and wide color gamut (WCG) image encoding, color rendering, camera metrology, and HDR workflows. Prior to his academic appointment, he held key industry positions including Senior Image Scientist at ARRI Munich where he contributed to professional cinema camera systems, and Dolby Laboratories where he helped develop the ITU Rec.2100 ICtCp color space and Dolby Vision platform. He also served as Technical Director at CinePostproduction GmbH. His core research areas include: HDR/WCG encoding and color science Virtual production workflows Camera metrology and image sensor technology Perceptual aspects of high frame rate and HDR imaging Real-time HDR/SDR conversion systems Recent publications demonstrate extensive work in virtual production technologies, including LED volume workflows, HDR broadcast graphics, and light field displays. His research consistently addresses both theoretical foundations and practical implementation challenges in cinematography and broadcast engineering.

Daniel BlasegView profile

Associate Professor

• Entrepreneurship
• Finance
• Marketing
• +2 more

Daniel Blaseg is an Associate Professor in the Department of General Management and Strategy at ESADE (Ramon Llull University), where he researches entrepreneurship, finance, and marketing. He holds dual affiliations with ESADE's research entities: GRIE (Research Group in Entrepreneurial Initiative) EEI (ESADE Entrepreneurship Institute) His expertise centers on alternative finance, particularly crowdfunding economics and behavioral aspects of venture decision-making. Blaseg's research explores: Psychological biases in entrepreneurial planning Impact of investor reputation on startups Crowdfunding regulation and consumer protection Narrative strategies in venture communication Recent publications analyze pitch deck design, ICO fundraising friction, and linguistic patterns in startup storytelling. He has received notable awards including the BAI Science Prize 2019 and KSG Best Entrepreneurship Research Award . Prior to academia, Blaseg gained industry experience as a venture capital consultant and startup CFO.

• Innovation
• Risk and Decision-making
• Market Categories
• +6 more

Anthony Vashevko serves as an Assistant Professor of Organisational Behaviour at INSEAD, where he conducts research on market categorization, innovation, and social networks. His work bridges theoretical gaps between organizational theory, market categorizations, competitive strategy, and social network analysis. Dr. Vashevko received his PhD in Organizational Behavior from Stanford University, complemented by a BS in Applied Mathematics and BA in Economics from the University of Chicago. These interdisciplinary foundations support his approach to modeling complex organizational phenomena. His research centers on how organizations navigate uncertainty through innovation and how these actions create emergent market patterns. Vashevko employs formal models and computational techniques to study categorization processes, strategic decision-making under uncertainty, and social network dynamics. He has developed innovative tools for visualizing hierarchical social networks and created educational resources for teaching network concepts to students. Analysis of his publications reveals a consistent focus on theoretical unification across organizational studies. His work examines how market audiences construct quality thresholds, how categories emerge in complex environments, and the strategic implications of cumulative advantage. Vashevko's research bridges micro-level decision processes with macro-level market outcomes through rigorous formal modeling. At INSEAD, Vashevko teaches Organisational Behaviour 2, where he has designed a class network survey tool and presentation dashboard to illustrate network concepts including position, centrality, and clustering using students' own network data. His teaching directly connects to his research interests in social networks and organizational dynamics. His methodological approach combines formal modeling with empirical applications, particularly in social network analysis. Vashevko's work demonstrates how computational techniques can address theoretical fragmentation in organizational studies by providing unifying frameworks that connect previously disparate research streams.

Eray TüzünView profile

Associate Professor

• Software Product Line Engineering
• Empirical Software Engineering
• Gamification
• +5 more

Eray Tüzün is an Associate Professor of Computer Engineering at Bilkent University in Turkey, where he leads the Bilkent University Software Engineering and Data Analytics Research Group (BILSEN). With over 20 years of experience in software design and development spanning both academia and industry, he bridges theoretical research with practical software engineering applications. His educational background includes bachelor's and master's degrees in Computer Science and a PhD in Information Systems. Before joining Bilkent University, he accumulated substantial industry experience including 9 years at HAVELSAN (serving as Productization Lead, Academy Manager, Product Owner, and Software Engineer), plus roles at Microsoft as a Software Design Engineer in the Online Services group, Senior Software Engineer at Howard Hughes Medical Institute, and Research Engineer at CWRU Genomics Center. His professional certifications include Certified Product Manager, MCSD: Application Lifecycle Management, Professional Scrum Master (PSM), and Professional Scrum Product Owner (PSPO). Tüzün's research focuses on several interconnected areas including Software Product Line Engineering , Empirical Software Engineering , Gamification , Software Engineering Education , DevOps & Agile Software Development , and Bioinformatics . His empirical approach involves mining software repositories to analyze development practices, identify patterns, and propose improvements. Recent work increasingly examines the intersection of AI and software engineering, particularly how large language models can enhance code review and comment quality. His research output shows clear trends toward analyzing code quality metrics, identifying 'smells' in development processes, and applying data analytics to software engineering practices. Key themes include bus factor estimation for measuring knowledge concentration in software projects, empirical studies of code review processes, continuous integration practices, and issue tracking systems in open source projects. Tüzün is a senior member of IEEE and an active member of ACM SIGSOFT and IEEE Computer Society. He represents Bilkent University in the International Software Engineering Research Network (ISERN), connecting his research with the global software engineering community. His service to the field includes program committee roles at major conferences such as ASE, ICSE, ESEC/FSE, and ESEM, with leadership positions including PC Co-Chair for ICSSP 2020 and Industry Track Co-Chair for EASE 2023. As head of the BILSEN research group, he mentors graduate students and collaborates on projects that bridge theoretical research with practical applications. His research has been consistently published in top-tier software engineering venues over the past decade, demonstrating both continuity in core research areas and adaptation to emerging trends like AI-assisted software development.

• Information processing in human-machine systems
• Adaptive interfaces
• Perception-action integration
• +5 more

Edmund Wascher serves as Head of Department and Full Professor for Ergonomics at the Leibniz Research Centre for Working Environment and Human Factors, affiliated with the Technical University of Dortmund. With a distinguished career spanning over three decades, he has established himself as a leading researcher in cognitive ergonomics and human factors. His educational background includes a Diploma in Psychology from the University of Graz (1989) and a PhD in Psychology from both the University of Graz and University of Munich (1992). Professor Wascher's research focuses on information processing in human-machine systems, adaptive interfaces, perception-action integration, visual attention, and the neurophysiology of cognitive processing. His work bridges cognitive neuroscience with practical applications in workplace design and human factors engineering. He has made significant contributions to understanding how humans process multisensory information, maintain attention in complex environments, and how these processes change with age. His recent publications (2023-2025) demonstrate a continued focus on cognitive neuroscience methods, particularly EEG studies examining working memory, attentional processes, and multisensory integration. His research increasingly addresses cognitive aging, workplace safety, and the intersection of neurophysiology with practical human factors applications. As Head of Department, Professor Wascher leads research initiatives in experimental ergonomics, with particular emphasis on information processing in complex work environments. His team investigates how cognitive processes can be optimized in various work contexts, from transportation to healthcare settings.

Hongyu ZhangView profile

Professor

• Intelligent software engineering
• Software analytics
• Data-driven software engineering
• +4 more

Hongyu Zhang is a Professor and Dean of the School of Big Data and Software Engineering at Chongqing University, China, and an Honorary Professor at The University of Newcastle, Australia. Previously, he served as a Lead Researcher at Microsoft Research Asia and an Associate Professor at Tsinghua University, China. He received his PhD from the National University of Singapore in 2003. His academic journey spans prestigious institutions, combining industry research experience with academic leadership. Dr. Zhang's research interests focus on intelligent software engineering, software analytics, data-driven software engineering, software fault management, testing and debugging, and software maintenance and reuse. His work centers on improving software quality and productivity by mining and analyzing vast amounts of software data. Over the years, he has developed innovative methods that apply data mining, machine learning (including deep learning), and information retrieval techniques to extract knowledge from software data and solve complex software engineering problems. His research spans three major areas: intelligent programming (code search, code summarization, code generation), intelligent quality prediction (defect prediction, cloud failure prediction, performance prediction), and intelligent fault detection and diagnosis (log-based fault detection, crash-based fault localization, bug report analytics). His recent publications demonstrate a clear trend toward integrating large language models and deep learning techniques with traditional software engineering practices. The research spans intelligent programming assistance, code security, UI automation, distributed systems optimization, and performance analysis. His work increasingly focuses on practical applications of AI in software engineering, with emphasis on real-world impact in industrial settings, particularly in microservices, cloud systems, and large-scale software development environments. 8 ACM Distinguished Paper Awards Best Paper Award: How Long Will it Take to Mitigate this Incident for Online Service Systems? David Lorge Parnis Fellowship Senior Member of IEEE Distinguished Member of ACM Distinguished Member of CCF Fellow of Engineers Australia (FIEAust) Recognized in The Australian's Top Researchers special edition as leading researcher in Software Systems World's Top 2% Scientists (career-long) Dr. Zhang has successfully advised numerous PhD and Master's students who have gone on to prominent positions at leading technology companies and academic institutions worldwide. His research has been supported by significant grants including Australian Research Council Discovery Projects (as Lead CI) and multiple National Science Foundation of China projects. His work has made tangible impacts in industry, most notably through the Microsoft Developer Assistant project which received over 450K downloads in 2016. He leads research groups focused on intelligent software engineering and software analytics, with strong collaborations between Chongqing University, The University of Newcastle, and Microsoft Research. His teams develop practical tools for code intelligence, log analysis, and fault diagnosis that are deployed in real-world online service systems.

• Artificial Intelligence
• Machine Learning
• Data Science
• +5 more

Professor Kristina Schädler is a faculty member at the West Coast University of Applied Sciences (FH Westküste), where she serves as Professor of Data Processing within the School of Technology. She has been with the university since 2005 and also served as Dean of the Department of Technology. Her academic background includes a PhD in machine learning from TU Berlin, where she was awarded the Chorafas Research Prize for young scientists. West Coast University of Applied Sciences (since 2005) TU Berlin, Institute of Computer Science (1994-1999) Martin Luther University Halle/Wittenberg (1990-1994) Professor Schädler's research focuses on artificial intelligence and machine learning applications, particularly in image processing and data analysis. Her work spans multiple domains including industrial automation, agricultural technology, renewable energy, and animal husbandry. She has led numerous research projects that bridge academic theory with practical industrial applications, with particular emphasis on developing robust image processing systems that can be deployed in real-world settings. Her research portfolio demonstrates a consistent pattern of applying advanced machine learning techniques to solve practical problems across diverse industries. The ANIMET project, which developed facial recognition for horses, and the MaviSeg system for multichannel image segmentation represent her innovative approach to adapting computer vision technologies for specialized applications. Her work often involves close collaboration with industry partners to ensure practical relevance and implementation. Chorafas Research Prize for young scientists Innovationspreis at Equitana (2013) for the ANIMET project Professor Schädler has supervised numerous student theses that have resulted in practical applications across various domains. Her research group has secured funding from multiple sources including the European Commission, BMBF, and regional development agencies. She has established the CICAD project as a sustainable competence center for industrial image processing, which has trained multiple doctoral students through cooperative programs with the University of Lübeck. Her work demonstrates strong industry connections with companies like HIT Hinrichs Innovation + Technik, MBJ Solutions, and Fischer und Tausche Kondensatoren. Her research laboratory focuses on industrial image processing applications, with specialized equipment for 2D/3D imaging, spectral analysis, and machine learning implementation. The CICAD project established a dedicated competence center that continues to develop new applications of image processing technology across multiple industries.

• Social Networks
• Urban Inequality
• Research Methods
• +5 more

Mario Small is the Quetelet Professor of Social Science at Columbia University and a member of the National Academy of Sciences. His research spans social networks, urban inequality, and research methods, with a particular focus on how personal networks are shaped by decisions and contexts across multiple settings. His research interests include: Social Network Analysis, particularly egocentric network analysis Urban Inequality and its manifestations in neighborhoods and spatial mobility Alternative Financial Institutions and their role in low-income communities Discrimination and its impact on social and economic opportunities Qualitative research methods and improving 'qualitative literacy' Small's recent work utilizes large-scale administrative data from Google Maps, SafeGraph, and other sources to examine racial segregation based on everyday mobility patterns and access to financial institutions. He has developed a decision-process theory of network mobilization and edited a comprehensive handbook on egocentric network analysis that brings together classic works with new perspectives. Among his scientific achievements, Small is a member of the National Academy of Sciences, recognizing his significant contributions to social science research methodology and understanding of social networks. As a methodologist, Small has worked to raise standards for qualitative research and improve the public's ability to interpret qualitative evidence. His work bridges traditional sociological inquiry with innovative data sources and analytical approaches, contributing to both theoretical advances and practical applications in understanding urban inequality and social networks.

Ibrahim CindarkView profile

Researcher

• Intercultural Communication
• Migration Linguistics
• Multilingualism
• +5 more

Dr. Ibrahim Cindark is a Researcher in the Pragmatics Department at the Leibniz Institute for the German Language in Mannheim, Germany, where he manages the project "Communicative Repertoire of Migrants." Previously, he worked on the project "Deutsch im Beruf: Die sprachlich-kommunikative Integration von Flüchtlingen" (German at Work: The Linguistic and Communicative Integration of Refugees) from 2016 to 2021 under Professors Eichinger, Lobin, and Deppermann. Dr. Cindark earned his doctorate from the University of Mannheim in 2009 with a dissertation titled "Migration, Language and Racism: The Communicative Social Style of Mannheim's 'Minors' as a Case Study for 'Emancipatory Migrants'." His academic career includes research positions at the University of Koblenz-Landau, University of Mainz, and University of Duisburg-Essen, along with teaching appointments at the University of Mannheim and University of Heidelberg. His research focuses on how migrants develop complex communicative repertoires across different contexts, employing ethnographic, videographic, and conversation analysis methods. He examines language use in workplace settings, particularly the linguistic integration of refugees, and has conducted fieldwork with various migrant communities in Germany. Dr. Cindark's recent publications analyze digital communication practices on platforms like TikTok, workplace interactions between refugees and German instructors, and self-translation in multilingual workplaces. These works reflect his commitment to applying linguistic research to practical challenges in migration and integration contexts. He is an active member of professional organizations including the "Netzwerk Fluchtforschung" (Refugee Research Network), the "Rat für Migration" (Council for Migration), and the "Gesellschaft für Angewandte Linguistik" (Society for Applied Linguistics). Additionally, Dr. Cindark has collaborated on exhibition projects documenting migrant history in Germany, such as "gesternJahre - 50 Jahre gastArbeiter" and "mannheimJahre," demonstrating his dedication to making linguistic research accessible to the broader public.