Abstract Concept Development Professors and Supervisors | ApplySharif

Find Academic Supervisors

Find and connect with academic supervisors, professors, and scholars for your research journey.

Showing 16-30 of 932 supervisors

Profile data may be stale. It is sourced from public faculty pages.

Manuel DeLandaView profile

Professor

European Graduate School of Economics and ManagementBulgaria

Manuel DeLanda is a New York-based cross-disciplinary theorist and artist. He holds the rank of Professor at The European Graduate School / EGS and serves as a lecturer at Princeton University's School of Architecture and Pratt Institute's Graduate Architecture and Urban Design program. His academic career includes past roles as a Fellow at Princeton's Institute for Advanced Study (2000/01) and teaching positions at the University of Pennsylvania and Columbia University. Education: BFA from the School of Visual Arts (New York), PhD from the European Graduate School (2010). Research interests span philosophy, complexity theory, materialism, science studies, and Deleuzean thought. His work integrates interdisciplinary approaches to topics like assemblage theory, urban capitalism, morphogenesis, and the philosophy of science. Key themes include the application of mathematical concepts (topology, chaos theory) to social and historical analysis, and rethinking materialist frameworks across disciplines. Notable contributions include books such as War in the Age of Intelligent Machines , A Thousand Years of Nonlinear History , and Assemblage Theory . His lectures (e.g., on economic agglomeration, urban capitalism, and Deleuzean philosophy) reflect his commitment to bridging abstract theory with empirical analysis. Labs/Teams: No specific lab affiliations mentioned, but his work is collaborative through academic networks and interdisciplinary projects in architecture, urbanism, and philosophy.

Official University Profile

Tom SchrijversView profile

Professor

InriaFrance

Tom Schrijvers is a Professor at the Department of Computer Science in the Faculty of Engineering Science at KU Leuven, Belgium. He leads the Programming Languages Group within the Declarative Languages and Artificial Intelligence (DTAI) research group. His research focuses on programming languages, particularly functional and logic programming, with special emphasis on Haskell, type systems, and algebraic effects. His research interests include: Functional Programming, especially Haskell Type Systems and Type Theory Algebraic Effects and Handlers Logic Programming, particularly Prolog Constraint Programming Domain-Specific Languages Programming Language Theory Prof. Schrijvers' recent research has focused on effect systems, staged programming, and language composition. His work on algebraic effect handlers has been particularly influential, providing new insights into how effects can be modularly composed and handled in functional languages. He has also made significant contributions to the understanding of type classes and their implementation in Haskell. His publications demonstrate a consistent focus on practical applications of programming language theory, with work spanning from foundational type theory to applied domain-specific languages for areas like fluorescence microscopy. His research often bridges the gap between theoretical programming language concepts and practical implementation concerns. Prof. Schrijvers has supervised numerous PhD students to completion, including Pieter Wuille, Benoit Desouter, George Karachalias, Steven Keuchel, Amr Saleh, Alexander Vandenbroucke, and Ruben Pieters. He currently supervises PhD students Klara Mardirosian, César Santos, Gert-Jan Bottu, Koen Pauwels, Birthe van den Berg, and Roger Bosman. His research group has received funding from various sources including EU projects like GRACeFUL. The Programming Languages Group at KU Leuven, which he leads, focuses on functional (Haskell) and logic (Prolog, Datalog, CLP) programming languages, as well as general programming language theory. The group has been active in numerous research projects and collaborations across Europe.

Official University Profile

Stephen DarwallView profile

Professor

Yale UniversityUnited States

Stephen Darwall is the Andrew Downey Orrick Professor of Philosophy at Yale University and John Dewey Distinguished University Professor Emeritus at the University of Michigan. His research focuses on the foundations of ethics, moral psychology, and the history of moral philosophy, particularly in the 17th and 18th centuries. He has authored influential works such as Impartial Reason , The British Moralists and the Internal 'Ought' , and The Second-Person Standpoint . Darwall’s scholarship bridges historical and contemporary ethical theory, emphasizing the centrality of second-personal accountability in moral obligation. Education: Ph.D. in Philosophy from the University of California, Berkeley. He previously taught at the University of Michigan (24 years) and University of North Carolina at Chapel Hill (12 years). His edited anthologies include Moral Discourse and Practice and Contractarianism/Contractualism . His research interests include moral obligation’s psychological basis, the role of respect in ethics, and the historical development of moral concepts from Grotius to Kant. He has held prestigious fellowships and leadership roles, including NEH Fellowships (four times) and presidency of the Central Division of the American Philosophical Association. Notable contributions: Founded Philosophers’ Imprint with David Velleman, a pioneering open-access philosophy journal. His work on second-personal ethics explores how moral demands arise from interpersonal accountability rather than abstract principles. Key awards: Fellow of the American Academy of Arts and Sciences (2008), Distinguished Fellow of the APA’s Central Division.

Official University Profile

Lance RipsView profile

Professor

Northwestern UniversityUnited States

Lance Rips is a Professor in the Psychology Department at Northwestern University , Evanston, IL. His research focuses on cognitive psychology, particularly concepts, reasoning, and autobiographical memory. Academic Rank: Professor Institution: Northwestern University Department: Psychology Department Contact: ripslab@gmail.com , rips@northwestern.edu Research interests include: Deductive and inductive reasoning Concepts of objects/events over time Causal cognition Mathematical thinking (numbers, non-Euclidean geometry) Informal argumentation and survey methodology His lab investigates foundational questions in cognition, with recent work on conditional reasoning, object individuation, and developmental understanding of substances. Publications span journals like Cognitive Science , Psychological Science , and Cognition .

Official University Profile

Jose Antonio Hinojos MoralesView profile

Researcher

Miguel Hernández University of ElcheSpain

Jose Antonio Hinojos Morales is a contemporary artist and researcher affiliated with Miguel Hernández University of Elche, where he completed his PhD in 2020. His academic work focuses on contemporary painting practices within the broader context of visual arts research. His research interests center around pictorial languages and procedures in contemporary contexts , with particular emphasis on the relationship between landscape, nature, and culture. He investigates how landscapes function as cultural constructs and explores innovative methodologies in the representation of the human face through art. His work also engages with decolonial thought and aesthetics, media archaeology, and expanded painting techniques. Hinojos Morales' artistic output demonstrates significant trends in contemporary Spanish art, particularly in the exploration of spiritual, philosophical, and scientific concepts through visual media. His work often challenges conventional perceptions and hegemonic epistemological positions, creating dialogues between traditional and contemporary artistic approaches. Second place, VIII International Painting Competition 'Miradas 2018', Chicago (USA), 2018 Second Prize, XIX Pastor Calpena Painting Prize, Aspe (Alicante), 2015 First Prize, XLVI National Painting Contest Vila de Sant Joan d'Alacant, 2013 First Prize, III National Painting Competition No to Fear, La Nucía (Alicante), 2013 Third Prize, XVII National Painting Competition City of Antequera, Antequera (Málaga), 2013 As an educator and researcher, Hinojos Morales has coordinated the Altea Artistic Residency program, directing multiple landscape-focused scholarship-residencies that support emerging artists. His work bridges academic research with professional artistic practice, contributing to both scholarly discourse and the contemporary art scene in Spain.

Official University Profile

Kylie PepplerView profile

Professor

University of California, IrvineUnited States

Professor Kylie Peppler is a dual Professor of Informatics and Education at the University of California, Irvine, leading the Creativity Labs and the Connected Learning Lab. Her research focuses on leveraging hands-on creativity—such as e-textiles, robotics, and traditional fiber crafts—to enhance STEM education, particularly for marginalized populations. She emphasizes the role of materiality in fostering systems thinking and equity in learning environments. Education: PhD in Education (UCLA), Postdoctoral training at UC Irvine, and prior roles at Indiana University. Her academic journey bridges psychology, art, and technology. Research Interests: Maker culture, computational thinking, STEAM integration, workforce development, and the impact of arts in education. She explores how tools like e-textiles and looms democratize access to STEM while addressing gender disparities. Key Projects: NSF-funded work on computational construction kits, Re-Crafting STEM initiatives, and Future of Work research using AR/VR for manufacturing training. Collaborations include Boeing, Inner-City Arts, and NYSCI. Awards: NSF Early CAREER Award, Mira Tech Educator of the Year, and Indiana Governor's Award. Her work is supported by NSF, Wallace Foundation, and industry partners. Grants & Labs: Over $10M in grants; directs labs advancing connected learning and equity through technology. Recent studies include virtual reality welding simulators and culturally sustaining arts practices. Labs/Teams: Creativity Labs (designing maker tools), Connected Learning Lab (digital equity), and partnerships with museums and industry to scale inclusive learning.

Official University Profile

Michael WeissView profile

Lecturer

University of Michigan-Ann ArborUnited States

Michael Weiss is a Lecturer in the Department of Mathematics at the University of Michigan. He teaches foundational courses such as Linear Algebra (MATH 217) and Explorations in Euclidean Geometry (MATH 431). His office is located in East Hall (Room 1868) at 530 Church Street, Ann Arbor, MI. Current Courses: MATH 217-004 (Linear Algebra), MATH 217-011 (Linear Algebra), MATH 431-001 (Explorations in Euclidean Geometry) Weiss’s research focuses on mathematics education, particularly on pedagogical strategies for teaching geometry and mathematical reasoning. His work explores the use of visual representations, interactive technologies, and narrative tools (e.g., comics) to enhance learning and teacher development. He emphasizes the role of theory-building in secondary geometry instruction and investigates how students translate abstract mathematical concepts into concrete reasoning. His publications highlight interdisciplinary approaches to education, integrating technology (e.g., animated stories, voice assistants) with traditional teaching methods. Keywords across his work include Mathematics Education , Geometry , Interactive Media , Visual Learning , and Teacher Training . Contact: mweiss@umich.edu

Official University Profile

Sriraam NatarajanView profile

Professor

University of Texas at DallasUnited States

Sriraam Natarajan is a Professor and Director of the Center for Machine Learning and StaRLing Lab at The University of Texas at Dallas (UTD), part of the Erik Jonsson School of Engineering & Computer Science. He holds additional roles as a hessian.AI Fellow at TU Darmstadt and an RBCDSAI Distinguished Faculty Fellow at IIT Madras. His expertise spans Artificial Intelligence, Machine Learning, and their applications in healthcare, with a focus on Relational Learning, Reinforcement Learning, and Graphical Models. He has been honored as an AAAI Fellow (2025), elected to the AAAI Executive Council, and recognized with the UTD Outstanding Graduate Teaching Award. Education: Completed his PhD in Computer Science at Oregon State University in 2007 under Prof. Prasad Tadepalli. Postdoctoral work at the University of Wisconsin-Madison with Professors Jude Shavlik and David Page. Previously served as faculty at Indiana University and Wake Forest School of Medicine. Research: Active in developing AI systems for healthcare, including predictive models for gestational diabetes and cardiac arrest in children. His work emphasizes integrating human knowledge into machine learning (e.g., Human-in-the-Loop systems) and advancing statistical relational AI frameworks like Markov Logic Networks and Probabilistic Circuits. Publications: Over 100 peer-reviewed articles, including notable works on causal learning, relational reinforcement learning, and knowledge graph construction. Recent focuses include explainable AI and scalable probabilistic models. Awards: AAAI Fellow, RBCDSAI Distinguished Fellowship, UTD Teaching Excellence Award. Advising and Collaboration: Mentored over 30 students, many now in academia and top institutions like IBM Research, Facebook, and Microsoft. Collaborates globally on projects like GLAD (Glocalized Anomaly Detection) and StaRLing Lab initiatives. Labs/Teams: Leads the StaRLing Lab, focusing on statistical relational AI, and directs UTD's Center for Machine Learning. Engaged in interdisciplinary projects with healthcare, robotics, and data science communities.

Official University Profile

Mirella LapataView profile

Professor

University of EdinburghUnited Kingdom

Mirella Lapata is a Professor of Computer Science at the University of Edinburgh , affiliated with the School of Informatics and the EdinburghNLP group. Her research focuses on developing AI systems that reason, generalize, and handle long contexts, with specific interests in compositional generalization, cross-lingual transfer, and verifiable generation. She leads projects funded by UKRI and ERC , including the UKRI AI Centre for Doctoral Training in Responsible NLP and Turing AI Fellowship for human-like reasoning in models. Research Emphasis : Coarse-to-fine decoding in semantic parsing, parameter-efficient LLMs, collaborative writing frameworks, and multimodal summarization. Advising : Supervises current PhD students and has mentored 23 PhD graduates since 2007, including notable alumni like Li Dong and Siva Reddy. Labs & Teams : Co-leads the Generative AI Laboratory (GAIL) and contributes to the Edinburgh Laboratory for Integrated Artificial Intelligence (ELIAI). Her recent work addresses hallucinations in generative models, cross-lingual semantic parsing, and structured reasoning in text-to-SQL tasks. She has co-authored 15+ publications in 2024 alone, spanning journals like TACL , NeurIPS , and ACL .

Official University Profile

Andrea FumagalliView profile

Professor

University of Texas at DallasUnited States

Andrea Fumagalli is a Professor in the Department of Electrical Engineering at the Erik Jonsson School of Engineering and Computer Science , The University of Texas at Dallas. He earned his Ph.D. (1992) and Laurea (1987) in Electrical Engineering from Politecnico di Torino, Italy. Research Interests: All-Optical Network Architectures, Photonic Slot Routing, Wavelength Routing and Protection, Sensor Networks, Cooperative Wireless Networks, Network Optimization, Next Generation Internet (NGI), and Multi-hop Optical Networks. Education: Ph.D., Electrical Engineering, Politecnico di Torino (1992) Laurea, Electrical Engineering, Politecnico di Torino (1987) Key Research Trends: His recent publications focus on 5G networking, optical network automation, elastic optical networks, network reliability, and cross-layer optimization. He explores FPGA acceleration in 5G Low-PHY functions, live migration of containerized network components, and spectral fragmentation mitigation in EONs. Scientific Awards: Best Teaching Award, Electrical Engineering, UTD (2002) Best Thesis Award for Ph.D. Advisee Isabella Cerutti (2002) IEEE ComSoc Distinguished Lecturer Tour (2000) Best Paper Award (1999): 'An Optimal Design Algorithm for Photonic Slot Routing Networks Migrating to Optical Packet Switching' Advising and Grants: He advised Ph.D. student Isabella Cerutti. In 2001, he secured a $300,000 grant from FUNDACAO CPqD for optical network reliability research. He leads the Optical Networking Advanced Research (OpNeAR) Lab at UTD, collaborating on international projects like the Italian government-funded grid computing initiative (2002) and the OMEGA Test-bed for differentiated reliability. Laboratories and Teams: He directs the OpNeAR Lab , which develops tools for optical network emulation and reliability testing. His projects involve partnerships with institutions in Brazil (Unicamp), Sweden (KTH), Italy (Politecnico di Torino, Scuola Superiore Sant'Anna), and CNR/CNIT.

Official University Profile

Daniel A. McAdamsView profile

Professor

Texas A&M UniversityUnited States

Daniel A. McAdams is the Robert H. Fletcher Professor in Mechanical Engineering at Texas A&M University and serves as the NSF Program Director of Convergent Activities. His research develops design theory and methodology with focus on functional modeling, bio-inspired design, and technology evolution. Educational Background: PhD in Mechanical Engineering from University of Texas at Austin MS in Mechanical Engineering from California Institute of Technology BS in Mechanical Engineering from University of Texas at Austin His research investigates innovation in concept synthesis through computational methods, bio-inspired design approaches, and technology evolution applied to product development. Current projects include function-sharing principles in biological systems, digital twin architectures, and patent mining for technology forecasting. Recent publications explore applications of speculative fiction in design ideation, graph-theoretic approaches for digital twins, and automated assessment in engineering education, demonstrating cross-disciplinary innovation across design science. Awards and Honors: ASME Design Theory and Methodology Award Distinguished Achievement Award for Student Relations Multiple Faculty Fellow awards Design Studies Best Paper Award Outstanding Faculty Mentor Award He leads the Product Synthesis Engineering Lab, advancing design methodologies for complex engineered systems through computational approaches and biological analogies.

Official University Profile

Igor RudanView profile

Professor

University of EdinburghUnited Kingdom

Igor Rudan is Professor of International Health and Molecular Medicine at the University of Edinburgh, serving as Co-Head of the Centre for Global Health within the Usher Institute, part of the College of Medicine and Veterinary Medicine. His academic position is described as a 'Personal Chair of International Health & Molecular Medicine' at the Deanery of Molecular, Genetic and Population Health Sciences. His research interests include: Genome-Wide Association Studies Genetics and Genomics Genetic Divergence Meta-Analysis Single Nucleotide Polymorphism research Systematic Reviews in global health Epidemiology of respiratory diseases Health inequalities and social determinants of health Professor Rudan's recent publications reveal a strong focus on the intersection of molecular medicine and population health. His work spans genetic epidemiology, pandemic response research, and health equity studies, with particular emphasis on understanding how genetic, social, and environmental factors interact to influence health outcomes across diverse populations. His research frequently employs large-scale genomic analyses combined with population health approaches to address global health challenges. His scientific recognition includes: NIHR Impact Prize (2025) for respiratory disease research RSE Mary Somerville Medal (2023) Professor Rudan leads and collaborates on numerous international research projects including EQUI-RESP-AFRICA (improving respiratory health outcomes in Africa), the NIHR Global Health Research Unit on Respiratory Health (RESPIRE-2), and documentation of the EQUIST tool's global impact. His work often involves large-scale data analysis and international collaborations across multiple continents, positioning him at the forefront of global health research that bridges molecular medicine with population-level health interventions.

Official University Profile

Lara AndersonView profile

Associate Professor

Virginia Polytechnic Institute and State UniversityUnited States

Lara Anderson is an Associate Professor in the Department of Physics at Virginia Tech's College of Science. Her research focuses on the intersection of geometry and string theory, particularly in the context of Calabi-Yau manifolds, F-theory, and heterotic string compactifications. She holds a Ph.D. from the University of Oxford, with a thesis in Mathematical String Theory. Her research interests include string phenomenology, geometric structures in compactifications, and the application of machine learning to approximate Calabi-Yau metrics. Key areas of exploration involve fibrations, Yukawa couplings, and moduli stabilization in heterotic and F-theory frameworks. Anderson has been recognized with a Graduate Research Fellowship in 2004. Her work spans over 50 publications, including contributions to understanding dualities between heterotic and F-theory models, the role of spectral covers in heterotic compactifications, and algorithmic approaches to heterotic phenomenology. She has also organized workshops on F-theory and string geometry, reflecting her leadership in interdisciplinary research. Her research has implications for both pure mathematics and particle physics, bridging abstract geometric concepts with concrete physical predictions. Current projects include exploring the geometric constraints in dual string models and developing numerical tools for studying Calabi-Yau metrics.

Official University Profile

Michael ThompsonView profile

Professor

Cornell UniversityUnited States

Professor Michael Thompson is a tenured faculty member in the Department of Materials Science and Engineering at Cornell University's College of Engineering. He holds the Dwight C. Baum Professorship in Engineering and specializes in advanced materials processing, particularly semiconductor materials under pulsed laser exposure. His research focuses on transient thermal processing (nanosecond to sub-second timescales) for material property modification and characterization, with applications in semiconductors, EUV lithography, and photonic materials. Thompson has authored over 120 papers and 20 patents, emphasizing industrial challenges like front-end junction formation and flexible electronics. Education: B.S. in Physics (CalTech, 1979), M.S./Ph.D. in Physics (Cornell, 1982/1984). He has received prestigious awards including the North American Award for Technical Contribution to the Semiconductor Industry (2009), multiple Cornell Excellence in Teaching Awards, and the Stephen H. Weiss Presidential Fellow designation (2021). His teaching focuses on thermodynamics and electronic properties, with a commitment to making abstract concepts accessible through real-world examples. Service: Leads curriculum development, ABET accreditation, and industry outreach. His lab develops novel methods for autonomous materials discovery using AI-driven approaches. Current projects include laser spike annealing for semiconductor doping and high-throughput synthesis of metastable materials.

Official University Profile

Nazli GoharianView profile

Clinical Professor

Georgetown UniversityUnited States

Nazli Goharian is a Clinical Professor of Computer Science at Georgetown University and Associate Director of the Information Retrieval Lab. She holds a PhD from Florida Institute of Technology and joined Georgetown in 2010 after industry experience and previous academic positions at Illinois Institute of Technology. Education: PhD Computer Science, Florida Institute of Technology (2001) MSc Computer Science, George Mason University (1995) BSc Computer Science, Dortmund University (1992) Her research spans information retrieval, text mining, and natural language processing with applications in health/medical domains. She focuses on developing computational methods for medical search, mental health analysis from social media, clinical text summarization, and adverse drug reaction detection. Her recent publications (2020-2016) predominantly focus on neural ranking models, transformer architectures for document retrieval, and clinical NLP applications. Notable trends include work on BERT-based re-ranking, zero-shot multilingual retrieval, and ontology-aware medical summarization. Awards & Honors: EMNLP 2017 Best Long Paper Award COLING 2018 Honorable Mention & Area Chair Favorite Julia Beveridge Award for Faculty (IIT, 2009) Multiple Teaching Excellence Awards (2002-2007) Research Leadership: She has supervised 6 PhD students to completion with placements at leading institutions. Secured over $500,000 in research funding from NSF, Adobe, and international partners. Founded the Semi-Annual Graduate Research Presentation Days at Georgetown and served as Program Chair for ECIR 2024. She leads the Information Retrieval Lab which focuses on developing novel algorithms for efficient document retrieval, cross-lingual search, and specialized applications in healthcare text analysis.

Official University Profile