جست‌وجوی استاد و پژوهشگر

Ricky Ini Liuمشاهده پروفایل

دانشیار

• Algebraic Combinatorics
• Algebraic Geometry
• Combinatorial Geometry
• +۵ مورد دیگر

Ricky Ini Liu is an Associate Professor in the Department of Mathematics at the University of Washington. Previously, he held positions at North Carolina State University, the University of Michigan, and the University of Minnesota. He earned his Ph.D. in Mathematics from MIT in 2010 under Alexander Postnikov. His research focuses on algebraic combinatorics, particularly its intersections with algebraic geometry, combinatorial geometry, and representation theory. Key interests include Schubert polynomials, polytopes, Hopf algebras, and Kronecker coefficients. He has contributed to foundational work on birational rowmotion, Gelfand-Tsetlin polytopes, and Fomin-Kirillov algebras. Liu has taught a wide range of courses at UW, including special topics in dynamical algebraic combinatorics, combinatorial theory, and problem-solving. He has also been a key instructor at the Mathematical Olympiad Summer Program since 2007 and mentored undergraduates in research programs at the University of Minnesota, Duluth. His publications span high-impact journals like Selecta Mathematica and Journal of Combinatorial Theory , with recent work addressing topics such as determinantal formulas for Schubert polynomials and applications of flow polytopes to diagonal harmonics. Though no specific awards are listed, his extensive publication record and academic roles reflect significant contributions to combinatorial mathematics.

Asmita Mukherjeeمشاهده پروفایل

استاد

• Theoretical Particle Physics
• Quantum Chromodynamics
• QCD Spin Physics
• +۵ مورد دیگر

Professor Asmita Mukherjee is a faculty member in the Department of Physics at the Indian Institute of Technology Bombay (IIT Bombay), where she holds the position of Professor. She is actively engaged in theoretical particle physics research with a focus on Quantum Chromodynamics (QCD) and related phenomena. Professor Mukherjee's research interests primarily include Theoretical Particle Physics, Quantum Chromodynamics, QCD spin physics, Light-cone wave functions, and collider phenomenology. She teaches several advanced courses including Elementary Particle Physics (PH540), Mathematical Physics-I (PH407), Mathematical Physics-II (PH408), Quantum Physics and Applications (PH107), and various Quantum Mechanics courses (PH422, PH423, PH105). Her publication record shows a strong focus on gravitational form factors, transverse momentum dependent distributions, angular momentum structure of hadrons, and electron-ion collider physics. Recent work has explored gluon contributions to proton structure, dressed quark states, and azimuthal asymmetries in various production processes. Her research demonstrates expertise in light-front quantization techniques and their application to fundamental questions in hadron physics. Professor Mukherjee has received recognition for her work in High Energy Theory, with numerous publications in prestigious journals addressing fundamental questions in hadron structure and QCD dynamics. Her work provides crucial theoretical foundations for upcoming experiments at the Electron Ion Collider. Current PhD students: Sudeep Saha, Amol Pawar Graduated PhD students: Ravi Manohar, Sreeraj Nair, Vikash K. Ojha, Sangem Rajesh, Raj Kishore Postdoctoral researchers: Shaik Khatiza Banu (CFNS), Jai More, Tanmay Maji, Mariyah Siddiqah Research projects: BRNS project with Ravi Singh as Junior Research Fellow Her research group at IIT Bombay continues to explore fundamental questions in hadron physics, with ongoing projects examining the mechanical properties of protons, the decomposition of angular momentum in QCD, and the development of theoretical tools for interpreting data from next-generation colliders.

• Educational Technology
• Informatics Education
• Programming Pedagogy
• +۳ مورد دیگر

Snježana Babić serves as Associate Professor and Head of the Graduate Study Program Informatics - Teaching Major at the Faculty of Informatics in Pula , University of Pula. With a PhD obtained in 2016 and university affiliation since 2017, she teaches across undergraduate and graduate programs focusing on ICT fundamentals, web design, digital competencies, and informatics education methodology. Her educational background includes graduation in 1993 followed by doctoral studies culminating in 2016. Though specific institutions aren't detailed in the text, her career trajectory shows progression from foundational ICT teaching to specialized informatics education leadership. Babić's research centers on educational technology adoption with particular emphasis on programming pedagogy for young learners through the MEMA method. Her work investigates digital competencies across multiple educational contexts, from primary schools to higher education. Recent publications demonstrate rapid adaptation to emerging technologies, with 2025 studies examining ChatGPT integration in Croatian educational settings and cross-cultural applications of programming methods. Analysis of her 15 most recent publications reveals consistent focus on technology acceptance models applied to Croatian educators and students. The research trajectory shows evolution from foundational e-learning systems (2016-2020) to cutting-edge AI and robotics applications (2022-2025), maintaining strong methodological focus on teacher motivation , implementation barriers , and culturally-specific adoption factors . Her teaching portfolio demonstrates deep integration with research interests: Undergraduate: ICT Fundamentals, Web Design and Application Graduate: Digital Competencies in Education, Informatics Education Methodology, Practicum for IT Educators Cross-disciplinary: ICT in Nursing, Healthcare Informatics Babić actively contributes to institutional leadership as program head while maintaining robust research productivity. Her work bridges theoretical technology adoption frameworks with practical implementation challenges in Croatian educational contexts, particularly examining how emerging technologies like humanoid robots and AI assistants can be effectively integrated into teaching practices.

Thomas Hartmanمشاهده پروفایل

استاد

• Quantum Gravity
• Quantum Field Theory
• String Theory
• +۴ مورد دیگر

Thomas Hartman is a Professor of Physics in the College of Arts and Sciences at Cornell University. He received his A.B. in Physics from Princeton University in 2004 and his Ph.D. in Physics from Harvard University in 2010. His professional journey includes being a Member of the School of Natural Sciences at the Institute for Advanced Study (2010-2013), Research Associate at the Kavli Institute for Theoretical Physics, UCSB (2013-2014), Assistant Professor at Cornell University (2014-2020), Associate Professor at Cornell University (2020-2022), and Professor at Cornell University (2022-present). Hartman's research focuses on theoretical aspects of quantum gravity and quantum field theory, with particular emphasis on black hole information and strongly interacting quantum fields. His work explores four major interconnected areas: gauge/gravity duality (examining how quantum field theory degrees of freedom organize into fluctuating spacetime), black hole information paradox (investigating the relationship between classical black hole solutions and quantum statistical systems), new approaches to quantum field theory using dualities and entanglement dynamics, and the physics of de Sitter space with implications for early universe cosmology. His research employs techniques from string theory, holographic duality, general relativity, and quantum information theory. Analysis of Hartman's publication record reveals a strong focus on resolving fundamental questions in quantum gravity, particularly through the development of replica wormhole techniques that address the black hole information paradox. His work spans both highly mathematical approaches to quantum gravity and connections to potentially observable phenomena, with increasing emphasis on connections between quantum information science and gravitational physics in recent years. Member, School of Natural Sciences, Institute for Advanced Study, 2010-2013 Hartman has advised graduate students including Jeevan Chandra Namburi and Wan Zhen Chua, contributing to the next generation of theoretical physicists. His research group actively investigates the emergence of spacetime from quantum information principles and develops new mathematical frameworks for understanding quantum gravity. The group maintains strong connections with other leading institutions through collaborative projects and participates in major theoretical physics initiatives including Snowmass planning for future research directions in high energy physics. Hartman's research program represents a vital bridge between abstract theoretical concepts in quantum gravity and potential experimental tests, working to develop frameworks that could ultimately connect quantum gravity to observable phenomena in both high-energy physics and cosmological observations.

Paul Larsonمشاهده پروفایل

استاد

• Set Theory
• Topology
• Model Theory
• +۳ مورد دیگر

Paul Larson is a Professor of Mathematics at Miami University. His research focuses on set theory, topology, and model theory, with particular expertise in forcing axioms, descriptive set theory, and infinitary logic. He holds a Ph.D. in Mathematics from the University of California, Berkeley. His work bridges foundational mathematical logic with applications in topology and combinatorics. Key contributions include studies on canonical models under fragments of the Axiom of Choice, polar forcings, and cardinal characteristics. Larson has collaborated extensively with leading researchers such as Saharon Shelah and Jindřich Zapletal. His publications span prestigious journals like the Annals of Pure and Applied Logic and Transactions of the American Mathematical Society. Beyond research, he contributes to the academic community through editorial work and expository writings on historical developments in determinacy theory. Education: Ph.D., Mathematics, University of California, Berkeley Research interests emphasize foundational questions in set theory with applications to topology and model theory. His recent work explores advanced forcing techniques, square principles in Pmax extensions, and combinatorial properties of cardinal invariants. Publications reflect interdisciplinary engagement, including crystal structure prediction in high-pressure chemistry and operator theory in functional analysis. Despite an extensive publication record, no specific scientific awards are documented here. His advising and grant activities remain unspecified in the provided texts. Collaborations span international institutions, reflecting his role as a central figure in contemporary set theory research.

Steven L. Manlyمشاهده پروفایل

استاد

• High Energy Physics
• Nuclear Physics
• Gravitational Physics
• +۳ مورد دیگر

Steven L. Manly is a Professor of Physics at the University of Rochester within the College of Arts, Sciences and Engineering. He has been affiliated with the University of Rochester since 1998, following a decade at Yale University as both a postdoc and faculty member. Professor Manly received his BA in chemistry, mathematics, and physics from Pfeiffer College in 1982 and his PhD in experimental high-energy physics from Columbia University in 1989 under Charles Baltay. His research spans high energy, nuclear, and gravitational physics, with a current focus on neutrino physics across multiple major experiments. His primary research interests include neutrino interactions and oscillations, with significant contributions to the T2K experiment (for which he shared the 2016 Breakthrough Prize in Fundamental Physics), the MINERvA experiment at Fermilab, and the Deep Underground Neutrino Experiment (DUNE). His work aims to understand neutrino properties, measure oscillation parameters, and investigate potential connections to matter-antimatter asymmetry in the universe. The recent publications reflect a strong focus on neutrino cross-section measurements, detector calibration techniques, and data analysis methods for the T2K and DUNE experiments. His research group contributes significantly to advancing our understanding of neutrino properties and interactions through precision measurements. NY State Professor of the Year (2003) Mercer Brugler Distinguished Teaching Professor (2002-2005) American Association of Physics Teachers (AAPT) Award for Excellence in Undergraduate Teaching (2007) Breakthrough Prize in Fundamental Physics (2016, shared as member of T2K) Professor Manly has authored or co-authored numerous publications in leading physics journals, with recent work focusing on neutrino interaction measurements, detector development, and data analysis techniques. His research has involved collaborations with major international facilities including Fermilab, J-PARC in Japan, and Brookhaven National Laboratory. While specific grant information isn't detailed in the provided text, his participation in large-scale international collaborations suggests significant research funding support.

Noah J. Cowanمشاهده پروفایل

استاد

• Neuromechanics
• Robotics
• Neuroscience
• +۵ مورد دیگر

Noah J. Cowan is a Professor of Mechanical Engineering at Johns Hopkins University's Whiting School of Engineering, with secondary appointments in Computer Science, Electrical & Computer Engineering, and Neuroscience. He is the founder and director of the Locomotion in Mechanical and Biological Systems (LIMBS) Laboratory, part of the Laboratory for Computational Sensing and Robotics. His research focuses on neuromechanics, robotics, and control theory, bridging neuroscience, biomechanics, and engineering. Cowan's work investigates how organisms achieve precise locomotion and applies these insights to advance robotics, neuroprosthetics, and rehabilitation technologies. Education: B.S. Electrical Engineering (Ohio State, 1995), M.S. and Ph.D. Electrical Engineering & Computer Science (University of Michigan, 1997/2001). Postdoctoral fellowship at UC Berkeley (2001–2003) before joining Johns Hopkins. Research Interests: Neuromechanics of motion, bio-inspired robotics, multisensory integration in animals (e.g., electric fish, Drosophila), and sensorimotor control in clinical contexts like cerebellar ataxia. His lab studies how neural circuits interact with biomechanics to produce movement, with applications to robotic design and neurological disorder treatments. Awards & Recognition: Presidential Early Career Award for Scientists and Engineers (2010), IEEE Fellow, NSF CAREER Award (2009), and multiple teaching and research excellence awards at Johns Hopkins. His work has been published in top journals like Nature , Proceedings of the National Academy of Sciences , and IEEE Transactions on Robotics . Outreach & Mentorship: Longtime mentor for high school and undergraduate students in STEM, leading programs like the Baltimore Ingenuity Project and WISE. Served as team leader for the STEM Achievement in Baltimore Elementary Schools (SABES) initiative. Key Projects: Development of the LIMBS Lab’s VR systems for animal studies, bioelectric navigation technologies for medical devices, and collaborations with clinicians on upper limb movement disorders. His team’s research on electric fish and fruit flies has revealed principles of adaptive control applicable to robotics and AI.

• Mathematics Education Curriculum
• Mathematics Teacher Education
• Algebra Teaching and Learning
• +۳ مورد دیگر

Jill Newton is a Professor in the Department of Curriculum and Instruction at Purdue University’s College of Education. Her work focuses on mathematics education curriculum development, teacher training, and equity in education, with additional contributions to international and study abroad programs. Ph.D. in Curriculum, Teaching, and Educational Policy (Mathematics Education), Michigan State University (2008) M.A. in International Education, George Washington University (1995) B.S. in Mathematics and Secondary Teaching Certification, Michigan State University (1987) Newton’s research spans algebra teaching, curriculum coherence, and social justice in education. She has led national studies on mathematics teacher preparation and explored how teachers use curricular resources post-COVID. Her work also emphasizes international education, including virtual communities of practice for global social justice. Recent publications highlight her focus on algebraic reasoning, curricular alignment, and equity. She has co-authored studies on elementary teachers’ curriculum use, preservice teacher development, and virtual intercultural collaborations. Terry L. Wood Mathematics Teacher Educator Award (2024-25) Book of Great Teachers Inductee (2023) Outstanding Leadership in Globalization Award (2022-23) Charles B. Murphy Outstanding Undergraduate Teaching Award (2017) Newton has coordinated undergraduate research at Purdue since 2018 and has taught mathematics education courses since 2004. Her teaching experience spans secondary schools in Venezuela, Tanzania, Bulgaria, and Papua New Guinea, enriching her global perspective.

Olga Kharlampovichمشاهده پروفایل

استاد

• Group Theory
• Algebra
• Geometric Group Theory
• +۳ مورد دیگر

Olga Kharlampovich is a Professor at the City University of New York (CUNY), affiliated with Hunter College and the Graduate Center. She specializes in group theory and geometric group theory, with a focus on group actions on trees, Bass-Serre theory, and related algebraic structures. She taught a mini course titled 'Groups acting on trees' in May 2021, covering topics such as R-trees, Λ-trees, and structural theorems for groups acting on trees. The course was delivered virtually and included lectures on amalgamated products, HNN extensions, and applications to the elementary theory of free groups. Her research interests encompass geometric and combinatorial group theory, with contributions to Rips' theorem, ordered abelian groups, and the interplay between group actions and tree-like structures. She has collaborated on foundational papers exploring λ-trees and their role in algebraic topology and group theory. Access to her mini course was provided via Webex, with recordings available for the three lectures. The course was open to undergraduates, graduate students, faculty, and researchers interested in algebraic structures and geometric group theory.

Ben Clarkeمشاهده پروفایل

استاد

• Mathematics Education
• Educational Psychology
• Special Education
• +۳ مورد دیگر

Dr. Ben Clarke is an Associate Professor and Department Head of Special Education and Clinical Sciences at the University of Oregon’s College of Education. His research focuses on mathematical development, assessment systems, and school-based interventions to support student achievement. He has led over 20 federally funded grants totaling ~$55 million, emphasizing early numeracy interventions and multi-tiered instructional models. Clarke’s work bridges theory and practice, with publications on mathematics instruction, assessment, and RTI frameworks. Education: PhD (2002), MA (2001) in School Psychology/Special Education from University of Oregon; BS (1997) in Psychology from Wabash College (Phi Beta Kappa). Research Interests: Mathematics intervention design and efficacy Early numeracy assessment Multi-tiered systems of support (MTSS) Technology in education Equity in mathematics education Publications highlight his focus on intervention fidelity, tiered models, and outcomes for students with learning difficulties. Awards include the AERA Special Education SIG Research Award and recognition for academic excellence. Grants and Advising: Principal Investigator on ~$55M in federal grants; advises graduate students in School Psychology and Special Education. His lab develops evidence-based tools like the KinderTEK iPad program and contributes to national practice guides (e.g., IES RTI for Mathematics). Labs/Teams: Leads research teams focused on early mathematics intervention and MTSS implementation, collaborating with schools and policymakers to scale effective practices.

Yuuko Uchikoshi Tonkovichمشاهده پروفایل

استاد

• Early Childhood
• Multilingual Learners
• Bilingualism and Bilingual Education
• +۱۲ مورد دیگر

Yuuko Uchikoshi Tonkovich is a Professor at the School of Education, University of California, Davis, where she has served since 2004, advancing from Assistant to Associate and then to full Professor. Her work centers on language and literacy development in young dual language learners, with a focus on bilingualism, early literacy, and the role of family and media in language acquisition. Her research interests include: Early Childhood Development Multilingual Learners and Bilingual Education Language Acquisition and Literacy Parent-Child Interaction and Home Language Environment Quantitative Analysis of Educational Outcomes Educational Television and Multimedia Her recent publications span topics such as cognitive distancing in parent-child reading, morphological awareness in bilingual readers, and the impact of teacher language use in multilingual classrooms. The research consistently emphasizes longitudinal, cross-cultural, and interdisciplinary approaches, particularly focusing on Chinese American and Mexican American immigrant families. Her scientific awards include: AERA Vocabulary SIG Notable Vocabulary Researcher Award (2025) Foundation for Child Development Young Scholars Program Grant International Reading Association Dissertation Fellowship and Finalist Award Harvard Graduate School of Education Fellowships She has advised numerous research projects and secured significant funding from NIH/NICHD, the Foundation for Child Development, and other organizations. She teaches courses such as Language Development, Early Literacy, and Research on Text Comprehension. She is actively involved in national initiatives, serving on the Technical Advisory Group for the First 5 California Dual Language Learner Study and as Associate Editor of Applied Psycholinguistics . She leads the Language & Literacy Development Lab at UC Davis, which investigates the cognitive, linguistic, and socio-emotional development of dual language learners.

Birgit Eickelmannمشاهده پروفایل

استاد

• Digital Education
• School Pedagogy
• Educational Technology
• +۶ مورد دیگر

Prof. Dr. Birgit Eickelmann is a Professor of School Pedagogy at the Institute of Educational Science within the Faculty of Arts and Humanities at Paderborn University. She has held this position since October 2012, initially as a W2 professor until January 2014, and then as a W3 professor (full professor) from February 2014 onward. Her research focuses on school and lesson development in the digital age, school pedagogy under digital transformation conditions, empirical school research, teacher education, and school leadership with emphasis on digital learning leadership. Her educational background includes a habilitation in Educational Science in May 2012, a PhD in Educational Science with summa cum laude in July 2009, and state examinations for teaching Mathematics and Physics in December 1996 and January 1999. Prof. Eickelmann's research centers on the digital transformation of educational systems, particularly examining how schools develop digital competencies among students and teachers. Her work emphasizes equitable access to digital learning opportunities, the role of school leadership in digital transformation, and the development of computational thinking skills. She investigates how schools can become resilient in the face of digital challenges, with special attention to organizational factors that support successful digital integration. Her publication record reveals a strong focus on international comparative studies, particularly the IEA's ICILS (International Computer and Information Literacy Study) across multiple cycles (2013, 2018, 2023). Her research spans digital literacy assessment, school-level factors influencing digital competence development, and policy implications for educational systems undergoing digital transformation. Prof. Eickelmann leads several major research initiatives including the National Research Center for the IEA Study ICILS 2023 (2021-2026), the German coordination of the Horizon-2020 project 'DigiGen' (2019-2022), and previous leadership of ICILS 2018 (2015-2021) and ICILS 2013 (2012-2015). She is actively involved in policy advising regarding digital education in Germany. She is a member of numerous scholarly organizations including the World Educational Research Association (since 2021), the Society for Empirical Educational Research (since 2016), and the German Society for Educational Science (since 2014), among others. Her work bridges academic research with practical implementation in schools through projects like 'Navigator Bildung Digitalisierung' and 'schultransformNEXT'.

Lawrence C. Washingtonمشاهده پروفایل

استاد

• Number theory
• Cyclotomic fields
• Elliptic curves
• +۵ مورد دیگر

Lawrence C. Washington is a Professor of Mathematics at the University of Maryland, College Park . His office is located in Mathematics Building 1105, and he can be reached at lcw@math.umd.edu . Teaching & Courses: In Spring 2023 he is teaching Cryptography 456 (TuTh 11:00–12:15) and co-organising the Algebra Seminar (MW 2–3). Office hours are held Tuesdays 1:30–2:30 and Thursdays 10:00–10:50. Research Interests: His work centres on number theory , with particular emphasis on cyclotomic fields , elliptic curves , cryptology , and Iwasawa theory . He has made extensive contributions to the study of p-adic L-functions , class groups , heuristics for class numbers , and the arithmetic of elliptic curves, often bridging deep theoretical questions with computational investigations. Textbooks & Scholarly Output: Washington is the author of several widely-used textbooks: Introduction to Cryptography with Coding Theory (3rd ed.) Introduction to Cyclotomic Fields Elliptic Curves: Number Theory and Cryptography An Introduction to Number Theory with Cryptography (2nd ed.) Elementary Number Theory Recent Publication Trends: Over the past five years his papers have focused on heuristics for Iwasawa invariants , anti-cyclotomic extensions , class groups of real cyclotomic fields , and analytic estimates for sums of prime powers . The work is characterised by a synthesis of algebraic, analytic, and computational techniques, frequently yielding explicit examples and numerical data that inform broader conjectures in algebraic number theory. Extracurricular Interests: Outside mathematics, Washington enjoys running and playing the bassoon , and he maintains a light-hearted page devoted to his favourite intersection in Chevy Chase, MD. Advising & Grants: While the provided text does not enumerate individual students or specific grants, his extensive publication record and long-standing professorship indicate ongoing supervision of graduate research and participation in funded projects in number theory and cryptography.

Samia Khanمشاهده پروفایل

استاد

• Science Education
• Educational Technology
• Teacher Education
• +۷ مورد دیگر

Samia Khan is a Professor in the Department of Curriculum & Pedagogy at the University of British Columbia's Faculty of Education, where she also serves as Associate Dean of Research. Her academic work bridges educational technology, science education, and teacher preparation across K-16 contexts. Dr. Khan earned her PhD from the University of Massachusetts. Her educational background informs her interdisciplinary approach to learning sciences and technology integration. Her research centers on how digital technologies transform science learning , with emphases on model-based teaching , visualization tools , and equitable participation in STEM . She investigates simulation technologies, future-state modeling, and strategies to broaden science engagement through interpretive and mixed-methods research. Her work particularly examines teacher epistemologies, scientific reasoning development, and socio-cultural factors in technology-mediated learning environments. Analysis of her recent publications reveals three dominant trends: (1) International comparative studies of science curricula across Southeast Asia, (2) Efficacy of digital tools (PhET, GeoGebra, Symbolab) in conceptual understanding, and (3) Pre-service teacher development in model-based science instruction. Her research spans diverse contexts from Canadian classrooms to Rwandan and Vietnamese educational settings. Dr. Khan's contributions have been recognized through: New Scholar Award from the Canadian Society for Study in Education Prime Minister’s Award of Canada for Teaching Excellence in Science, Technology, and Mathematics As former MET Director (2021-2022) and author of foundational courses ETEC 530/533, she has significantly shaped UBC's educational technology programs. Her Faculty Associate role at the Institute of Resources, Environment, and Sustainability demonstrates cross-disciplinary engagement with sustainability education. Her research appears in leading journals including Journal of Technology and Teacher Education, Computers and Education, and Educational Technology Research and Development, with consistent citation as field-shaping work in educational technology.

Nathan Linialمشاهده پروفایل

استاد

• Combinatorics
• Theoretical Computer Science
• Bioinformatics
• +۶ مورد دیگر

Nathan (Nati) Linial is a Professor at the School of Computer Science and Engineering at the Hebrew University of Jerusalem, where he has been a faculty member since completing his postdoctoral period at UCLA. He earned his undergraduate degree in mathematics from the Technion and his PhD in graph theory from the Hebrew University. His research spans multiple areas of theoretical computer science and mathematics, with primary focus on combinatorics, theoretical computer science, and bioinformatics. Linial's work has made significant contributions to high-dimensional combinatorics, expander graphs, metric embeddings, and computational molecular biology. His research often bridges geometry, analysis, and combinatorial structures, demonstrating deep connections between seemingly disparate mathematical fields. Linial's recent publications reveal a strong trend toward high-dimensional combinatorial structures, including simplicial complexes, hypertrees, and high-dimensional permutations. His work frequently employs probabilistic methods, linear programming techniques, and geometric approaches to solve fundamental combinatorial problems. The breadth of his research is evident in both pure mathematical contributions and applications to computational biology. Fellow of the American Mathematical Society ISI Highly Cited Researcher Conant Prize (2008) for the influential survey paper "Expander graphs and their applications" Linial has served on the editorial boards of several prestigious journals including the Israel Journal of Mathematics (as Chief Editor 2013-2017), Random Structures and Algorithms, and Combinatorica. His academic leadership extends to organizing conferences and workshops in combinatorics and theoretical computer science. He has mentored numerous students whose work spans theoretical computer science, combinatorics, and computational biology. Linial is associated with research projects including ProtoNet (for protein sequence classification) and EVEREST (for evolutionary conserved protein domains), demonstrating his commitment to interdisciplinary research that bridges computer science with molecular biology.