Find Academic Supervisors

• Islamic intellectual history
• Post-classical Islamic theology
• Islamic philosophy
• +2 more

Laura Hassan is an Associate Professor at the Faculty of Asian and Middle Eastern Studies, University of Oxford, specializing in Islamic intellectual traditions. Her academic work bridges historical theology, philosophy, and science studies with particular expertise in post-classical Islamic thought. She maintains an active research profile with ongoing publications through 2024 focusing on theological anthropology, philosophy of language, and comparative religion. Her primary research examines: Historical development of Ash‘arī theological tradition Interactions between medieval Islamic philosophy (falsafa) and theology (kalām) Epistemological frameworks in classical Islamic scholarship Religion-science dialogues in medieval and contemporary contexts Critical editions and analyses of works by key figures like al-Āmidī and al-Rāzī She received the Gorgias Press Classical Islamic World Book Prize for her monograph examining creation theories in Ash‘arism and Avicennism. Her scholarly contributions consistently engage with manuscripts and primary sources to reconstruct medieval Islamic intellectual debates.

Nikolas BraschView profile

Researcher

• 3D Computer Vision
• SLAM
• 3D Scene Understanding
• +1 more

Nikolas Brasch is a PhD candidate and researcher at the Chair of Computer Aided Medical Procedures (CAMP) within the Department of Informatics at the Technical University of Munich. He is affiliated with the research group led by Prof. Nassir Navab and maintains his office at Boltzmannstr. 3, 85748 Garching b. München, Room 5613.03.039. Brasch's research centers on 3D computer vision with emphasis on SLAM (Simultaneous Localization and Mapping) and 3D scene understanding. His work bridges computer vision with medical applications, particularly in medical augmented reality and surgical robotics. He has developed innovative approaches for improving depth estimation in challenging environments and creating robust SLAM systems that maintain accuracy in dynamic settings. His publication record shows a consistent trajectory in advancing 3D vision techniques with practical applications in medical contexts. His research demonstrates particular strength in sensor fusion techniques and semantic understanding of 3D environments. Wild ToFu: Improving Range and Quality of Indirect Time-of-Flight Depth with RGB Fusion in Challenging Environments (2021) Structure-SLAM: Low-Drift Monocular SLAM in Indoor Environments (2020) Semantic Monocular SLAM for Highly Dynamic Environments (2018) As an educator, Brasch serves as a teaching assistant for the Praktikum on 3D Computer Vision course at TUM. He mentors students on various thesis projects related to 3D vision, human pose estimation, and semantic reconstructions, typically collaborating with Prof. Federico Tombari. His teaching activities reflect his research expertise and commitment to training the next generation of computer vision researchers.

• Cognitive Science
• Quantum Theory in Information Modeling
• Learning Analytics
• +6 more

Kirsty Kitto is an Associate Professor at the University of Technology Sydney in the Learning Design and Technology Unit. With a background in theoretical physics and computer science, her research focuses on developing quantum-inspired models of contextuality to understand complex human behavior in educational systems. She explores the intersection of Artificial Intelligence (AI) , Learning Analytics , and Educational Theory , seeking to bridge the divide between big data and pedagogical frameworks. Current Appointments : Associate Professor (2020-present), Senior Lecturer (2017-2020) Past Academic Roles : Senior Research Fellow (QUT), Senior Lecturer (QUT), Associate Lecturer (Flinders University) Her funded research includes projects on: Quantum models in cognitive systems (ARC Fellowship DP1094974) AI literacy in digital workplaces (IEEE Transactions study) Contextual learning analytics (DVC Education and Students Division) Skills passports for lifelong learning (UMAP 2024 paper) Kitto's recent work examines human-AI interaction in writing assessment, data storytelling for teacher-centered analytics, and causal modeling to strengthen educational theory-data connections. She actively supervises Masters and PhD students and contributes to policy debates through government submissions on generative AI in education. Her methodology combines mathematical formalism with sociotechnical analysis to address educational complexity.

• Business Intelligence
• Cloud Computing
• Software Engineering
• +7 more

Professor Farookh Hussain is a distinguished academic at the School of Computer Science , University of Technology Sydney , specializing in Artificial Intelligence , Cloud Computing , and Software Engineering . His research spans diverse sectors including agriculture, manufacturing, healthcare, and transportation. Affiliated with the Australian Artificial Intelligence Institute (AAII) , he leads impactful work in business intelligence and carbon credit systems. Key research areas: AI applications, blockchain for provenance, carbon credit analytics Active in Masters/PhD supervision and cloud computing education Research Highlights : Developed KACINO framework for carbon dynamics modeling Created hybrid cybersecurity frameworks for supply chain risk management Advanced chatbot dialogue breakdown solutions through systematic reviews Proposed hypercomplex knowledge graph recommenders Published extensively on carbon credit price prediction and blockchain storage methods Contributions to water demand forecasting and collaborative robotics adoption Grant Activities : Secured funding from Hampton Capital Asset Management , Innovation Connections , and Science and Industry Endowment Fund Projects include LLM-driven text-to-SQL conversion , blockchain for melanoma data , and AI for storm water management

• Human–robot interaction
• Spoken language processing
• Image and audio processing
• +3 more

Tetsunori Kobayashi is a Professor in the School of Fundamental Science and Engineering at Waseda University, Japan, where he has served since 1997. He is renowned for pioneering research in human–robot interaction, spoken language processing, and multimodal conversational systems, leading to over 230 refereed papers and an h-index of 35 (Google Scholar). Education: 1980 B.Eng. in Electrical Engineering, Waseda University 1982 M.Eng. and 1985 Dr.Eng. from Graduate School of Science and Engineering, Waseda University Research Interests: His work spans intelligent robotics , perceptual information processing , pattern recognition , image and audio processing , and conversational AI . He develops algorithms for real-time dialogue systems, multi-party conversation facilitation robots, and non-autoregressive speech recognition leveraging CTC and pre-trained language models. Recent Publication Trends: Since 2020 his group has advanced non-autoregressive end-to-end ASR (Mask-CTC, Intermpl, BECTRA), noise-robust attention , multi-look-ahead conversational ASR , and neural speaker diarization . They integrate BERT-style pre-training with CTC losses to accelerate inference while maintaining accuracy. Parallel work explores vision-and-language topics such as scene-graph generation, video semantic indexing, and personalized summarization for spoken news delivery. Scientific Awards: IEICE Fellow 2023 – for multi-modal multi-party conversation research IPSJ Fellow 2016 – for pioneering robot conversation studies JST Award for Academic Start-ups 2024 Best Paper Awards from IEICE, IEEE BTAS, ACM SIGGRAPH VRCAI, and several IPSJ workshop prizes Advising & Grants: He has mentored dozens of PhD and Master’s students who now lead in academia and industry. Major funded projects include JST CREST on conversational robotics, NEDO and JST-support for AI-based speech interfaces, and industry collaborations with NHK, OKI, and NEC. Labs & Teams: Kobayashi heads the Perceptual Computing Laboratory at Waseda, conducting interdisciplinary research with domestic and international partners such as MIT, ATR, and NHK Science & Technology Labs.

• Architectural Planning
• City Planning
• Spatial Planning
• +5 more

Dr. Haruhiko Goto is a Professor at Waseda University's School of Creative Science and Engineering, Department of Architecture. With a career spanning over four decades, he has served in multiple leadership roles including Executive Vice President and Vice President at Waseda University, and as President of The City Planning Institute of Japan. His work focuses on Urban Design , Regional Development , and Community Engagement through architectural and planning lenses. Education: PhD, MA, and BA in Architecture from Waseda University His research systematically examines environmental cognition and subjective well-being in urban contexts, analyzing how spatial experiences affect social dynamics. Recent studies investigate defensive architecture in public spaces, urban redevelopment of shrines , and post-disaster community reconstruction . His publications demonstrate strong integration between urban environmental psychology and place-based social systems . With over 14 refereed publications and 11 citations, his work addresses contemporary urban challenges including social isolation , work-life design , and cultural landscape preservation . As a leader in his field, he has received multiple planning design awards and contributed to national urban policy discussions. Scientific Awards: City Planning Institute of Japan's 60th Anniversary Commemorative Project Awards (2011) Minister of Land Infrastructure's Land Use Model Award (2010) Good Design Award (2010) Japan Institute of Architects Award (2005) As an academic leader, he has chaired numerous professional organizations including The World Society for Ekistics and The Japan Society of Lifology , and contributed to policy development through committee memberships in Japan Academic Council and Urban Planning Institute of Japan .

• Artificial Intelligence
• Educational Technology
• Business Process Management
• +5 more

Darko Etinger is an Associate Professor and currently serves as the Dean of the Faculty of Informatics at Juraj Dobrila University of Pula in Croatia. His academic career spans over two decades with significant contributions to the fields of information systems, educational technology, and artificial intelligence. He teaches undergraduate courses including Artificial Intelligence, Business Information Systems, Business Process Management, ICT Fundamentals, Information Systems, Introduction to Artificial Intelligence, and Multimedia Systems. At the graduate level, he teaches Development of IT Solutions, IT Management, Modelling and Simulation, and Project Management. He also supervises doctoral research in Management of Information Technologies in Education. Dr. Etinger's research interests span several key areas in computer science and education technology. He has made significant contributions to understanding how information and communication technologies can support children with special educational needs, as evidenced by his 2024 and 2025 books on the topic. His work also focuses on business process management, educational data mining, and the application of artificial intelligence in educational contexts. His 2024 book 'Introduction to R and RStudio' demonstrates his commitment to data science education. Analysis of his recent publications shows a strong focus on practical applications of technology in education and business. His work spans educational robotics, learning management systems analysis, business process modeling, and the application of large language models in healthcare. He has a particular interest in how technology can be made accessible and beneficial for diverse learner populations, including those with special needs. His research often takes a human-centered approach, examining not just the technology itself but how it's adopted and used by end users. His 2025 bibliometric analysis of metaverse security demonstrates his ability to tackle emerging technological challenges. Associate Professor at Faculty of Informatics, Juraj Dobrila University of Pula Current Dean of Faculty of Informatics Author of multiple publications on educational technology and information systems Supervisor for numerous graduate theses on educational technology topics Active participant in EDIH Adria project as evidenced by 2025 publications Researcher in educational robotics implementation in Croatian schools Dr. Etinger has advised numerous students completing their theses, with a focus on educational technology applications. His research has been published in various international conferences and journals including IEEE Engineering Management Review, Procedia Computer Science, and System Dynamics Review. His current research appears to be heavily focused on the EDIH Adria project, which is a European Digital Innovation Hub initiative focusing on technology transfer and business innovation. He maintains an active research program with publications spanning from 2003 to the present, demonstrating sustained scholarly contribution to his fields of expertise.

• Building Permit Processes
• Digital Building Permits
• Building Information Modeling
• +4 more

Judith Fauth is a researcher at the Technical University of Munich's Chair of Computing in Civil and Building Engineering, where she pioneers digital transformation in building permit processes through Building Information Modeling (BIM) and digital twin technologies. Her work bridges civil engineering, computer science, and public policy to streamline regulatory compliance across international contexts. Her research expertise spans Building Permit Processes , Digital Building Permits , Ontology Engineering , and Process Modeling , with emphasis on developing standardized frameworks for global permit system benchmarking. She investigates how semantic technologies and digital twins can automate regulatory compliance while accommodating regional variations in construction law and administrative practices. Analysis of her 2023-2025 publications reveals three dominant trends: (1) integration of digital building permits with digital building logbooks for lifecycle data management, (2) development of ontologies like OBPA for automated permit reviews, and (3) creation of taxonomies and process models (e.g., PACE-BP framework) enabling cross-national comparisons of permit systems. This work increasingly incorporates sustainability metrics and stakeholder-specific KPIs. Within TUM's research infrastructure, Dr. Fauth contributes to the BIM Lab and Digital Twinning research groups, collaborating on projects involving Gaia-X-based data frameworks and semantic modeling of the built environment. She teaches practical software development skills through the SoftwareLab course, preparing engineering students for digital construction workflows.

Aslan AskarovView profile

Associate Professor

• Computer Security
• Programming Languages
• Information Flow Security
• +4 more

Aslan Askarov is an Associate Professor in the Department of Computer Science at Aarhus University, where he leads research in computer security and programming languages. He is a member of the Logic and Semantics Group and maintains an active research program with several ongoing projects. Dr. Askarov's research interests span computer security and privacy, with a focus on foundations, information-flow, covert channels, metadata privacy, and formal methods for security. He also works extensively in programming languages, particularly in semantics, design, type systems, and program analysis. His work bridges theoretical foundations with practical security applications, particularly in web and mobile security contexts. His active projects include Troupe, a programming language for concurrent and distributed programming with dynamic information flow control, and DenIM, a protocol for secure instant messaging with metadata privacy. These projects reflect his commitment to developing practical security solutions grounded in formal methods. Dr. Askarov has published extensively in top security and programming languages venues, with recent work focusing on metadata privacy in instant messaging, separation logic for virtual machine security, and oblivious execution techniques for reactive programs. His research demonstrates a consistent pattern of addressing fundamental security challenges through formal methods and language-based approaches. CSF 2026 ESOP 2026 PLDI 2025 CSF 2025 CSF 2022 CSF 2021 CSF 2020 PriSC 2020 Nordsec 2019 (co-chair) POST 2019 Euro S&P 2018 PLAS 2017 FCS 2017 (co-chair) HotSpot 2017 FCS 2016 (co-chair) CSF 2016 ESSOS 2015 FCS-FCC 2014 ARES 2014 FCS 2013 ARES 2013 PLAS 2013 ARES 2012 PLAS 2011 (co-chair) ISARCS 2010 PLAS 2009 VODCA 2008 Dr. Askarov teaches advanced courses in computer science, including Compilers in Fall 2024 and Language-Based Security in Spring 2024. He is actively recruiting PhD students and postdocs to work in the areas of Programming Languages and Computer Security, demonstrating his ongoing commitment to mentoring the next generation of researchers.

Jian PengView profile

Associate Professor

• Computational Biology
• Machine Learning
• Deep Learning
• +7 more

Jian Peng is an Associate Professor and Willett Faculty Fellow at the University of Illinois at Urbana-Champaign with primary appointment in the Department of Computer Science and courtesy appointments in the College of Medicine. He holds affiliate positions at the Institute of Genomic Biology, Cancer Center at Illinois, and National Center for Supercomputing Applications. His research integrates computational biology and machine learning, focusing on functional genomics, cancer genomics, neurodegenerative diseases, deep learning architectures, and reinforcement learning applications in biological domains. His work bridges algorithmic development with real-world biomedical challenges. Analysis of recent publications (2020-2021) reveals strong emphasis on machine learning applications in drug design, protein engineering, and computational biology. Key technical themes include generative modeling for molecular structures, reinforcement learning advancements, causal inference frameworks, and novel computer vision approaches. The work demonstrates consistent interdisciplinary innovation across computational and biological domains. Major Scientific Awards: Donald Biggar Willett Faculty Fellow (2020) Overton Prize - ISCB (2020) Dean's Award for Excellence in Research (2020) C.W. Gear Junior Faculty Award (2019) NSF CAREER Award (2017-2022) Sloan Research Fellowship (2016) He leads significant research initiatives including co-directing the NSF AI Institute's Molecular Maker Lab and an ASAP collaborative grant for Parkinson's disease research. His students have secured faculty positions at leading institutions including Georgia Tech and University of Washington.

Fei HeView profile

Associate Professor

• formal methods
• program analysis
• automated reasoning
• +2 more

Fei He is an Associate Professor at Tsinghua University's School of Software, where he leads the THUFV research lab focused on formal verification and program analysis. His research spans formal methods, automated reasoning, and program verification, with applications in concurrent systems, networking (P4 programs), and probabilistic systems. Education & Employment: PhD from Tsinghua University (2008) Visiting Scholar at Carnegie Mellon University (2010-2011) and Politecnico di Milano (2006-2007) Faculty positions at Tsinghua since 2008 (Assistant Professor 2008-2011, Associate Professor 2011-present) Research: He's developed innovative techniques in SMT solving for concurrency verification, termination analysis, and regression verification. His tools like Deagle have won gold medals at SV-COMP. Current work focuses on probabilistic program verification and network program analysis. Publications: His 80+ publications demonstrate consistent contributions across formal methods (PLDI, OOPSLA, ICSE), networking (NSDI, INFOCOM), and software engineering (TSE, TOSEM), with recent emphasis on data-driven verification and automated invariant inference. Awards: Gold Medals in SV-COMP ConcurrencySafety (2022, 2023, 2025) Best Paper Awards at PPoPP 2022 and SETTA 2022 Advising: Mentors 13 PhD/Master's students in THUFV lab, with graduates joining Huawei, MPI-SP, and research institutions. Secured multiple NSF China grants for trustworthy software research. Service: Associate Editor for Theory of Computing Systems, program committees for PLDI/ICSE/OOPSLA, and former Local Chair for ISSTA 2019.

• Information Hiding
• Steganography
• Steganalysis
• +4 more

Andrew D. Ker is Professor and Associate Professor of Computer Science at the University of Oxford's Department of Computer Science, and Tutorial Fellow in Computer Science at University College, Oxford since 2009. He received his BA in Mathematics & Computer Science (1994-1997) and DPhil in Computer Science (1997-2000) from Oxford, followed by academic appointments including Junior Research Fellow (2000-2003), Special Supernumerary Fellow (2003-2009), and Royal Society University Research Fellow (2003-2011). His research focuses on information hiding, particularly steganography (covert communication in digital media) and steganalysis (detection of hidden data), with additional interests in digital media forensics and programming language semantics. His foundational work includes the mathematical formalization of the 'square root law of steganographic capacity'. Recent publications explore practical implementations in social media platforms, GPU-accelerated steganalysis, and linguistic steganography techniques. He has received multiple scientific awards including Best Paper Awards at ACM Workshops on Information Hiding & Multimedia Security, SPIE conferences, and the International Workshop on Digital Watermarking. As Associate Editor for IEEE Transactions on Information Forensics and Security, he maintains active involvement in the academic community. Professor Ker has supervised numerous graduate students in computer security and steganography research, including doctoral candidates and master's students. He leads research within Cyber Security Oxford and has developed four major lecture series: Lambda Calculus and Types, Discrete Mathematics, Computer Security, and Advanced Security: Information Hiding. He remains active in teaching despite administrative responsibilities as Tutorial Fellow.

Matthew GrilliView profile

Associate Professor

• Neuropsychology
• Cognitive Neuroscience
• Memory
• +6 more

Matthew Grilli is an Associate Professor in the Department of Psychology at the University of Arizona , where he directs the Clinical Program, Neuropsychology Minor, and Human Memory Lab. His research spans the neuropsychology and cognitive neuroscience of autobiographical memory, imagination, and cognitive aging, with a focus on disorders like amnesia and Alzheimer’s disease. His work investigates individual differences in autobiographical thought , the impact of aging on memory specificity, and innovative neuropsychological assessment methods. Recent publications highlight aging-related changes in memory dynamics, brain structure-function relationships, and real-world applications such as phishing vulnerability and bilingualism’s role in cognitive aging. Grilli’s research utilizes naturalistic observation and computational approaches (e.g., latent brain state analysis, large language models) to study memory coherence, emotional simulation, and intergenerational conversations. He is also involved in developing tools like the Phishing Email Suspicion Test (PEST) to assess cognitive mechanisms in aging populations. The Human Memory Lab under his direction explores memory’s intersection with well-being, identity, and brain health, employing multimodal methodologies to address both theoretical and applied questions in cognitive neuroscience.

• Software Engineering
• Deep Learning
• Human-Computer Interaction
• +3 more

Prof. Dr. Chunyang Chen is a Full Professor at the Department of Computer Science, Technical University of Munich (TUM), Heilbronn, Germany. He holds the Chair of Software Engineering & AI, serves as a core member of the Munich Data Science Institute, board member of the Heilbronn Data Science Center, and Fellow at Fortiss. He also maintains an Adjunct Professor role at Monash University, Australia. Research Focus: His work bridges Software Engineering, Deep Learning, and Human-Computer Interaction (HCI), specializing in AI/ML, NLP, and program analysis for mobile app development, testing, and security. Key areas include LLM-assisted app development, robustness of deep learning models, and accessibility testing. Scientific Awards: Best Paper Honorable Mention in CHI 2024 Discovery Early Career Researcher Award (DECRA), Australian Research Council ACM SIGSOFT Early Career Researcher Award Facebook Research Award in Probability and Programming Dean's Award for Research Impact at Monash University Academic Leadership: He actively mentors PhD students, supervises postdocs, and leads research teams focusing on software security, automated testing, and LLM applications. His recent work explores the intersection of software security and large language models, with a special issue call for EMSE journal.

Salvatore AttardoView profile

Professor

• Pragmatics
• Semantics
• Humor Studies
• +5 more

Dr. Salvatore Attardo is Professor of Linguistics in the Department of Literature and Languages at East Texas A&M University's College of Humanities, Social Sciences and Arts. He previously served as Dean of the College (2011-2018) and Head of the Department (2007-2011). Currently teaching primarily in the online Applied Linguistics program he helped establish, he maintains active research and publication in multiple linguistic subfields. His research spans Pragmatics , Semantics , Humor Studies , and English Grammar , with recent focus on Social Eye Tracking methodologies. His work bridges theoretical linguistics with practical applications in language teaching and digital communication. Notable contributions include developing frameworks for analyzing humorous discourse structures across cultures and historical periods. His publication record demonstrates consistent scholarly output, including over ten books and 100+ peer-reviewed articles. Recent works focus on eye-tracking applications in linguistics and satirical news analysis. He served as Editor-in-Chief of Humor: International Journal of Humor Research for ten years and sits on multiple journal editorial boards. Dr. Attardo collaborates extensively with his wife, Dr. Lucy Pickering, particularly on eye-tracking research. His teaching philosophy emphasizes those transformative moments when students grasp underlying linguistic systems, especially in humor courses where ancient Egyptian jokes reveal structural parallels to modern cartoons.