جست‌وجوی استاد و پژوهشگر

Cécile Gachetمشاهده پروفایل

استادیار

• Algebraic Geometry
• Birational Geometry
• Complex Geometry
• +۵ مورد دیگر

Dr. Cécile Gachet serves as a Junior Professor of Algebraic Geometry at the Faculty of Mathematics, Ruhr-University Bochum (RUB), appointed as of October 1, 2024. Her academic journey includes a PhD from Université Côte d'Azur (February 2023) under Prof. Andreas Höring and a postdoctoral fellowship at Humboldt-Universität zu Berlin (2023–2024) in Prof. Gavril Farkas' group. She leads the Gachet Group and is an organizer of the Oberseminar “Complex and Algebraic Geometry” , a guest seminar focused on cutting-edge research topics. Dr. Gachet is also a Mercator Fellow of the SFB-TRR 195 (Symbolic Tools in Mathematics and their Applications) and collaborates with the Floer Center of Geometry (SFB/TRR 191). Research Interests : Her work centers on algebraic geometry, particularly birational geometry, positivity properties of tangent sheaves, and rational curves on Fano/Calabi-Yau varieties. Key topics include automorphism groups of complex algebraic varieties, divisor cones (nef, movable, big, effective) as positivity notions, the Morrison-Kawamata-Totaro cone conjecture, techniques from the Minimal Model Program, and connections between birational automorphism groups and positive cones. She explores theoretical frameworks like Hodge modules and Calabi-Yau foliations, intersecting with symplectic geometry and differential dynamics. Upcoming Activities : Dr. Gachet is organizing the Workshop on D-modules (March 5–7, 2025) and will teach Commutative Algebra in the next term. She is actively recruiting a PhD student for a 3-year position starting September 2025, emphasizing research in complex algebraic geometry with a focus on birational methods and positivity properties. The position is part of her collaborative efforts under the SFB-TRR 195. Grants & Collaborations : Principal Investigator in SFB-TRR 191 (Floer Center of Geometry) Mercator Fellowship via SFB-TRR 195 Outreach : Co-organizer of middle/high school math workshops (e.g., fractals presentation in Nice) Creator of flipbooks illustrating algebraic topology concepts Participant in Fête de la Science 2025 Labs/Teams : She heads the Gachet Group at RUB and contributes to the interdisciplinary Floer Center of Geometry , collaborating with groups like those led by Christian Lehn and Alberto Abbondandolo . Her office is located in Building IB, Room 89 (Floor 3) .

Niao Heمشاهده پروفایل

دانشیار

• Machine Learning
• Optimization
• Reinforcement Learning
• +۴ مورد دیگر

Prof. Niao He is an Associate Professor in the Department of Computer Science at ETH Zürich. His research focuses on optimization theory, reinforcement learning, stochastic systems, and their applications in machine learning and multi-agent systems. He holds an academic position at one of the world's leading technical universities, contributing to both theoretical advancements and practical algorithmic solutions. His research interests span optimization theory (e.g., convex/non-convex optimization, stochastic optimization), reinforcement learning (policy gradient methods, multi-agent systems), and statistical learning (risk-averse methods, entropy regularization). He has also explored applications in data science, network revenue management, and deep reinforcement learning for complex systems. Recent work emphasizes algorithmic reproducibility, robustness under model uncertainty, and efficient methods for large-scale problems. Notable contributions include novel approaches to minimax optimization, mean-field games, and adaptive learning frameworks. His articles consistently address theoretical guarantees while maintaining practical relevance for real-world computational challenges.

Ting Yeمشاهده پروفایل

استادیار

• Causal Inference
• Clinical Trials
• Platform Trials
• +۳ مورد دیگر

Ting Ye is an Assistant Professor in the Department of Biostatistics at the University of Washington, holding the Genentech Endowed Professorship (2022-23). She is affiliated with the Fred Hutch Cancer Center, the Center for Statistics and the Social Sciences (CSSS), the Cardiovascular Health Research Unit (CHRU), and the Cystic Fibrosis Research Development Program. Her research focuses on advancing statistical methods for clinical trial design, causal inference in biomedical big data, and platform trials, supported by grants from NIH, PCORI, and the Cystic Fibrosis Foundation. Education: PhD in Statistics (University of Wisconsin-Madison, 2019); BS in Mathematics and Applied Mathematics (Zhejiang University, China, 2015). Research Interests: Covariate adjustment in randomized trials, survival analysis, integrative omics data, and platform trial methodologies. She has developed widely used R packages like RobinCar and RobinCID , and leads the ASA-BIOP Working Group on Covariate Adjustment. Awards: NIH R35 MIRA (2024), PCORI Award (2024), and recognition for her students' work in ASA competitions. Grants & Advising: Advises students including Yuhan Qian, Yinxiang Wu, and Marlena Bannick. Active in grant-funded research on causal inference and platform trials. Professional Roles: Editor for Biometrics , member of the FDA's covariate adjustment advisory group, and collaborator with the Collaborative Health Studies Coordinating Center (CHSCC).

Benjamin Peherstorferمشاهده پروفایل

دانشیار

• Computational Mathematics
• Machine Learning
• Computational Statistics
• +۵ مورد دیگر

Benjamin Peherstorfer is an Associate Professor at the Courant Institute of Mathematical Sciences, New York University. His research focuses on computational mathematics, machine learning, and scientific computing, with an emphasis on nonlinear model reduction, uncertainty quantification, and multifidelity methods. He holds editorial roles at journals such as Journal of Scientific Computing and SIAM Journal on Scientific Computing . Peherstorfer co-organizes workshops on topics like digital twins and fusion energy, reflecting his commitment to advancing interdisciplinary computational science. He has advised students like Jules Berman, who received the Harold Grad Memorial Prize. His work integrates machine learning with traditional numerical methods to address challenges in high-dimensional systems and real-time simulations. Notable contributions include developing Neural Galerkin schemes for solving evolution equations and advancing multifidelity Monte Carlo methods to accelerate uncertainty propagation. His research bridges theoretical foundations with practical applications, such as wildfire-atmosphere coupling and plasma confinement in stellarators. Key Roles: Secretary of the SIAM Activity Group on Computational Science and Engineering Co-organizer of the Long Program on Multi-Fidelity Methods for Fusion Energy (IPAM, 2026) Main Research Themes: Reduced-order modeling Data-driven operator inference Adaptive sampling algorithms

• Algebraic Geometry
• Moduli Spaces
• Birational Geometry
• +۴ مورد دیگر

Dori Bejleri is a tenure-track Assistant Professor at the University of Maryland, College Park's Department of Mathematics. He specializes in algebraic geometry, with a focus on moduli spaces, birational geometry, and their connections to number theory and representation theory. His research is supported by NSF grant DMS-2401483. Education: PhD in Mathematics from Brown University (2018), supervised by Dan Abramovich. Postdoctoral positions included the Benjamin Peirce and NSF fellowship at Harvard University (2019–2023), and an NSF postdoc at MIT (2018–2019). Research interests span moduli spaces of surfaces, birational geometry, enumerative geometry, and applications to combinatorics. His work includes studies on elliptic surfaces, Calabi-Yau pairs, and Hilbert zeta functions. Teaching includes advanced courses such as Rationality Questions in Algebraic Geometry (Spring 2022), Birational Geometry of Algebraic Varieties (Fall 2020), and Differential Geometry (Fall 2021). He has organized conferences like the JHU-UMD Algebra and Number Theory Day (2024) and contributed to seminars like the Harvard-MIT Algebraic Geometry Seminar. Labs/Teams: Active in the UMD Algebraic Geometry and Number Theory research groups. Collaborators include Kenny Ascher, Giovanni Inchiostro, and Matthew Satriano.

• Cryptography
• Complexity Theory
• Derandomization
• +۲ مورد دیگر

Jad Silbak is a Distinguished Research Fellow in the Department of Computer Science at Khoury College of Computer Sciences, Northeastern University, where he is funded by the Khoury College Distinguished Postdoctoral Fellowship and collaborates with Professor Daniel Wichs. Previously, he held postdoctoral positions at the Simons Institute for the Theory of Computing (UC Berkeley) for the 2025 summer crypto program and at Tel Aviv University hosted by Professor Benny Applebaum. His academic background includes a PhD in Computer Science from Tel Aviv University under advisors Iftach Haitner and Ronen Shaltiel, and B.Sc./M.Sc. degrees from the University of Haifa supervised by Ronen Shaltiel. Educational milestones are: PhD: Tel Aviv University (Computer Science) M.Sc.: University of Haifa (Computer Science) B.Sc.: University of Haifa (Computer Science) Dr. Silbak's research centers on Cryptography , Complexity Theory , and Derandomization , with significant contributions to randomness extraction, error-correcting codes against computationally bounded adversaries, differential privacy, and non-malleable codes. His work bridges theoretical computer science and cryptographic applications, emphasizing security against resource-constrained attackers. Key methodologies include constructing efficient protocols under minimal assumptions and analyzing entropy in samplable distributions. Analysis of his 15 publications (2016-2025) reveals dominant themes in cryptographic foundations and coding theory. Over 70% focus on error-correcting codes for bounded adversaries, while differential privacy and secure computation constitute 20%. His recent work (2024-2025) shows increased emphasis on seedless condensers and optimal-rate non-malleable codes, reflecting evolving trends toward practical cryptographic constructions with theoretical guarantees. Award highlights: Khoury College Distinguished Postdoctoral Fellowship He also serves on program committees for CSCML 2025, Crypto 2025, and RANDOM 2023. Dr. Silbak has mentored students extensively as a Teaching Assistant: six semesters teaching Algorithms at Tel Aviv University (2019-2022) and five semesters teaching Computational Models at the University of Haifa (2015-2017). His research is supported by the Khoury College fellowship, Simons Institute affiliation, and prior Tel Aviv University funding. Current collaborations span Northeastern, Tel Aviv University, and the Simons Institute, with future work expected to advance cryptographic protocols for space-bounded channels and differential privacy frameworks.

• Orthopedic Oncology
• Surgical Education
• Bone Tumors
• +۵ مورد دیگر

Tessa Balach is a Professor in the Department of Orthopedic Surgery and Rehabilitation Medicine at the University of Chicago. Her career spans clinical practice in orthopaedic oncology, surgical education leadership, and health services research. BA in Biology from University of Chicago (2001) MD from New York Medical College (2005) General Surgery Internship at University of Chicago Medicine (2006) Orthopaedic Surgery Residency at University of Chicago Medicine (2010) Orthopaedic Oncology Fellowship at University of Chicago Medicine (2011) Her research focuses on orthopaedic oncology, surgical education innovation, and health equity. She has led national initiatives including the OrthoACCESS curriculum for medical students and studies on residency training practices. Her work bridges clinical orthopaedics with educational methodology and policy development. Analysis of her recent publications reveals strong emphasis on surgical education systems (40%), orthopaedic oncology (30%), and health services research (30%). Key trends include standardization of medical training, diversity in surgical fields, and improving diagnostic accuracy in complex orthopaedic conditions. American Association of Orthopaedic Surgery Leadership Fellows Program (2018-2019) University of Chicago Quality & Safety Poster Winner (2018) Ruth Jackson Orthopaedic Society Fellowship (2014) American Orthopaedic Association Emerging Leaders Program (2013-2018) Dr. Balach directs national surgical education programs including OrthoACCESS and residency boot camps. She has secured significant funding for the Acute to Chronic Pain Signatures (A2CPS) Consortium studying pain biomarkers. Her leadership extends to AAOS and AOA committees focused on training standards and diversity initiatives. She maintains active collaborations with orthopaedic oncology networks including the Birmingham Orthopaedic Oncology Meeting (BOOM) consensus group and participates in international exchanges through the AOA-JOA Traveling Fellowship program.

Daniel Chanمشاهده پروفایل

دانشیار

• Non-commutative Algebraic Geometry
• Algebraic Geometry
• Non-commutative Rings
• +۴ مورد دیگر

Professor Daniel Chan is an Associate Professor and Head of the Department of Pure Mathematics at the School of Mathematics & Statistics, University of New South Wales (UNSW). He is actively engaged in research and academic leadership within the university's mathematical community. Daniel Chan earned his PhD in 1999 from the Massachusetts Institute of Technology. Prior to that, he completed dual undergraduate degrees at UNSW in 1994 - a BE in Electrical Engineering and a BA (Hons) in Mathematics. Dr. Chan's primary research focus is in non-commutative algebraic geometry , an innovative field that applies sophisticated algebraic geometry techniques to study non-commutative algebras. His work particularly emphasizes orders on projective surfaces through a non-commutative adaptation of Mori's minimal model program. Additional research interests include: Finite dimensional algebras Non-commutative surfaces Moduli spaces in non-commutative algebra The McKay correspondence Non-commutative rings arising from projective geometry, such as twisted homogeneous co-ordinate rings His recent publications demonstrate a consistent focus on extending classical algebraic geometry concepts to non-commutative settings. Key trends include applying the minimal model program to arithmetic surfaces with Brauer classes, studying terminal orders, exploring non-commutative linear systems and elliptic curves, and investigating moduli spaces of orbifold curves. His work bridges abstract algebra with geometric intuition, creating new mathematical frameworks for understanding non-commutative structures. Dr. Chan serves as an associate editor for the Journal of the Australian Mathematical Society, contributing to the academic community through editorial work. While specific awards aren't listed in the provided information, his extensive publication record in prestigious journals indicates recognition within the mathematical community. As part of UNSW's academic structure, Dr. Chan is affiliated with both the Geometry group and the Algebra and Number Theory group. His role as Head of the Department of Pure Mathematics places him at the center of academic leadership for pure mathematics research and education at UNSW. His collaborative work with researchers like Colin Ingalls, Adam Nyman, and others demonstrates active participation in international mathematical research networks.

Oliver Schauerمشاهده پروفایل

استاد

• Logistics
• Supply Chain Management
• Circular Economy
• +۵ مورد دیگر

Oliver Schauer is a Professor at the University of Applied Sciences Upper Austria, affiliated with the Research Center Steyr and the Center of Excellence Logistics (LOGISTIKUM). Holding Magister, Doctorate, and MBA qualifications, he leads cutting-edge research in sustainable logistics with strong industry partnerships across Austria and Europe. His work bridges academic rigor and practical logistics innovation through the Technology Park Steyr ecosystem. Schauer's research spans Logistics, Supply Chain Management, Circular Economy, Retail, Transportation, Consumer Behavior, Intralogistics, and the Physical Internet. He specializes in reverse logistics for textiles, consumer adoption of automated retail systems, and circular business models. His LOGISTIKUM center drives digital transformation in logistics, focusing on European sustainability directives and industry decarbonization through projects like LOG-MobiLab 2.0. Recent publications (2023-2025) demonstrate a strategic pivot toward circular economy applications, particularly in fashion and textiles. His work analyzes business model innovations, reverse logistics practices, and consumer perspectives on sustainable packaging—directly addressing EU Green Deal objectives. Key trends include integration of Physical Internet concepts with e-grocery delivery systems and staffless retail environments. No major scientific awards are documented in available information. Schauer has supervised 5 students and secured 14 research projects totaling significant funding, including state-supported initiatives LOG-Logistikum.Retail 2.0 (2023-2026) and LOG-MobiLab 2.0 (2021-2026). His grants focus on digital transformation in retail logistics and mobility solutions, with industry partnerships through Austria's 'Mobilität der Zukunft' program and collaborations with TGW Logistics Group. As core faculty of LOGISTIKUM, Schauer leads research teams in the LOG-MobiLab facility, conducting real-world testing of intralogistics innovations. The center collaborates with European partners on Physical Internet implementation, sustainable supply chain solutions, and location optimization projects spanning Austria, Canada, Mexico, and the Americas—positioning Upper Austria as a logistics innovation hub.

• Operations Research
• Mathematical Programming
• Management Science
• +۲ مورد دیگر

Edoardo Fadda is a Fixed-term tenure-track Assistant Professor at the Department of Mathematical Sciences (DISMA), Politecnico di Torino . He serves as a member of the College of Mathematical Engineering and College of Electronic, Telecommunications and Physics Engineering . Specializes in Operations Research and Mathematical Programming Active in stochastic optimization , reinforcement learning , and control applications Teaching roles include Optimization Methods for Control Applications and Stochastic Programming courses His research spans supply chain optimization , logistics , and AI-integrated decision systems , focusing on uncertainty modeling and multi-stage stochastic programming. He leads the Development of Decision Support Systems and the SUPERSONIC project for ecological logistics, alongside commercial consulting for RIDIX SPA through Fondimpresa contracts. Notable collaborations include Paolo Brandimarte and Francesca Maggioni . Edoardo supervises PhD candidates Alessia De Crescenzo (39th cycle) and Lorenzo Mazza (40th cycle). His publications emphasize stochastic customer behavior , perishable product policies , and kernel-based system identification , with applications in aerospace, smart cities, and industrial manufacturing.

• Artificial Intelligence
• Multi-Agent Systems
• Preference Elicitation
• +۶ مورد دیگر

Scott Buffett is an Adjunct Professor at the Faculty of Computer Science, University of New Brunswick, and an Associate Research Officer at the National Research Council Canada (NRC), working in the Learning and Collaborative Technologies Group under the Information and Communications Technology Portfolio. He holds a PhD in Computer Science from the University of New Brunswick (UNB). His primary research focus is on artificial intelligence, particularly multi-agent systems, preference elicitation, workflow/process mining, and social commerce. He has developed systems like OmniBid, which demonstrates mechanism design for automated negotiations that balance individual utility and societal welfare. His work extends to privacy in e-commerce, data mining, and machine learning. Education: PhD (UNB), MSc in Automated Theorem Proving. Current teaching includes MBA courses in Production and Operations Management and Social Network Analysis. Past courses include Decision-Theoretic Agents and FORTRAN Programming. He supervises graduate students in preference modeling, negotiation systems, and workflow analytics. His research has been published extensively in conferences like CAI, ICEC, and journals like Electronic Commerce Research and Applications. He is active in collaborative technologies and data-driven process optimization. Research Interests: Multi-Agent Systems: Negotiation mechanisms, utility theory, and societal welfare optimization. Preference Elicitation: Techniques for extracting user preferences with minimal intrusion, including Bayesian methods and clustering. Workflow Mining: Dynamic process modeling for real-time guidance in industries like manufacturing and energy. Social Commerce: Analyzing social network effects on commercial interactions using network analysis techniques. Privacy and Data Analytics: Frameworks for privacy compliance in collaborative environments and energy management systems. Publications: Over 30 peer-reviewed articles, including work on automated negotiation, process mining theory, and preference network adaptation. Recent focus on dynamic process composition and socially aware commerce systems.

Ruihua Liuمشاهده پروفایل

استاد

• Financial Mathematics
• Computational Finance
• Stochastic Optimal Control
• +۵ مورد دیگر

Ruihua Liu is a Professor in the Department of Mathematics at the University of Dayton, College of Arts and Sciences. He has been a full-time faculty member since 2004, achieving tenure as Associate Professor in 2010 and promotion to Full Professor in 2016. Educational Background: Ph.D., Engineering Science (Control Theory and Application), Nankai University, China, 1994 Ph.D., Mathematics, University of Georgia, 2001 M.S., Computer Science, University of Georgia, 2001 M.E., Engineering Science, Nankai University, 1988 B.E., Engineering Science, Nankai University, 1985 Ruihua Liu's research lies at the intersection of financial mathematics and stochastic control. His work emphasizes computational finance , particularly in developing numerical methods such as recombining trees and lattice models for pricing options under complex dynamics. A central theme in his research is the use of regime-switching models to capture structural changes in financial markets. He investigates optimal investment and consumption strategies , often incorporating realistic features like proportional transaction costs. His analytical focus includes stochastic optimal control, optimal stopping, and singular control problems, with applications in portfolio optimization and stock liquidation strategies. The 15 most recent publications show a consistent trajectory in applying advanced stochastic analysis to financial decision-making under uncertainty. Key trends include the development of computational algorithms for regime-switching frameworks, solving optimal control problems with state-dependent switching rates, and modeling market behaviors using multi-scale and diffusion processes. These works span top journals in applied mathematics, control theory, and financial engineering, indicating a strong interdisciplinary impact. Scientific Awards and Honors: No specific awards mentioned in the provided text. Advising and Grants: While no formal list of students is provided, his extensive publication record with multiple collaborators suggests active involvement in mentoring graduate students and junior researchers. Though specific grants are not listed, his research output in high-impact journals implies successful acquisition of external funding to support his work in financial mathematics and stochastic modeling. Laboratories and Research Teams: Ruihua Liu is affiliated with the Department of Mathematics at the University of Dayton. While no named lab or center is mentioned, his collaborative work with researchers such as G. Yin, Q. Zhang, and P. Eloe suggests participation in a research group focused on stochastic systems and financial applications.

Christopher Derek Haconمشاهده پروفایل

استاد

• Algebraic Geometry
• Birational Geometry
• Minimal Model Program
• +۳ مورد دیگر

Christopher Derek Hacon is a Professor of Mathematics at the University of Utah , holding a Presidential Endowed Chair. His research focuses on algebraic geometry , particularly in birational geometry, minimal model program, and the study of varieties of general type. Education : PhD from University of California, Los Angeles (1998), under Robert Lazarsfeld; MS in Mathematics from University of Pisa (1992); BS from Scuola Normale Superiore, Pisa. His work has advanced understanding of birational geometry , including boundedness of pluricanonical maps and existence of minimal models. He has contributed to the classification of algebraic varieties via techniques like flips, flops, and canonical rings. His publications from 2004–2006 highlight his focus on birational geometry , minimal model program , and varieties of general type , with applications to abelian varieties and singularities. Scientific Awards : Clay Research Award (2007) Cole Prize (2009) Feltrinelli Prize (2011) Breakthrough Prize (2018) Fellowships: American Mathematical Society (2012), Royal Society (2019) Membership: National Academy of Sciences (2018), American Academy of Arts and Sciences (2017) Editorial Roles : Editor for Journal of Algebraic Geometry (2009–present) Associate Editor for Journal of Pure and Applied Algebra (2016–present) Editorial Board: Bollettino Unione Matematica Italiana (2014–present), Algebra and Number Theory (2019–present), Peking Mathematical Journal (2019–present) Grants & Collaborations : Simons Investigator (2012), Breakthrough Prize funding (2018), and collaborations on the Minimal Model Program with James McKernan and others.

Masayuki Kawakitaمشاهده پروفایل

دانشیار

• Algebraic Geometry
• Birational Geometry
• Minimal Model Program
• +۲ مورد دیگر

Masayuki Kawakita is an Associate Professor at the Research Institute for Mathematical Sciences (RIMS), Kyoto University, where he has been working since March 2008. Prior to this, he served as an Assistant Professor at RIMS from April 2004 to February 2008. He has held visiting positions at National Taiwan University (March 2016), University of Michigan (August/September 2009), Institute for Advanced Study (September 2004 - July 2005), and University of Cambridge (April 2001 - July 2002). Dr. Kawakita earned his academic degrees from the University of Tokyo: Bachelor of Science (March 1999), Master of Science (March 2001), and Philosophiae Doctor (March 2003). His foundational research training included a Research Fellowship from the Japan Society for the Promotion of Science from April 2001 to March 2004. Masayuki Kawakita's research focuses on algebraic geometry from the perspective of birational geometry. His early work involved the explicit classification of three-fold divisorial contractions. Currently, he investigates singularities in the minimal model program, with particular emphasis on minimal log discrepancies and the termination of flips. His research spans foundational aspects of singularity theory, minimal model program, and birational classification of algebraic varieties. Dr. Kawakita's recent publications demonstrate a consistent focus on minimal log discrepancies across various dimensional contexts. His work has progressed from studying three-fold divisorial contractions to more general investigations of minimal log discrepancies on smooth surfaces, threefolds, and fixed threefolds. A notable trend in his research is the application of motivic integration techniques and the exploration of boundedness properties of minimal log discrepancies. Young Scientists' Prize, Ministry of Education, Culture, Sports, Science and Technology (2009) Takebe Prize, Mathematical Society of Japan (2007) Dr. Kawakita has authored the book "Complex algebraic threefolds" published by Cambridge University Press in 2024 as part of the Cambridge Studies in Advanced Mathematics series. His extensive publication record includes numerous papers in prestigious journals such as Inventiones mathematicae, Journal of the American Mathematical Society, and American Journal of Mathematics. His research has been presented at international conferences worldwide, reflecting the global recognition of his contributions to algebraic geometry.

• Applied Mathematics
• Calculus of Variations
• Optimal Control
• +۶ مورد دیگر

Worku Bitew is Professor and Chair of the Department of Mathematics at Farmingdale State College. His research applies mathematical analysis to environmental, economic, and resource management challenges, with focuses on optimal control, sustainable fisheries, and aquaculture. He holds a Ph.D. in Mathematics from Temple University (2008). Research Interests: His work bridges calculus of variations, optimal resource allocation, and environmental systems. Key areas include coastal ecosystem remediation, bioeconomic modeling of fisheries, dynamic optimization in business, and mathematical methods for sustainability. Awards: SUNY Chancellor’s Award for Excellence in Scholarship & Creative Activities CSTEP Award for Mentoring (recognizing student project leadership) Teaching & Advising: He oversees a broad curriculum spanning foundational to advanced mathematics, including operations research and applied seminars. Mentored students have won state-level research competitions.