جست‌وجوی استاد و پژوهشگر

• Parallel Programming
• Dependently Typed Languages
• Concurrent Systems
• +۳ مورد دیگر

Dr Adam Barwell is a Lecturer and Researcher at the School of Computer Science, University of St Andrews. His research focuses on parallel programming, dependently typed languages, and formal methods in concurrent systems. He advises PhD student Leonid Nosovitskiy and has contributed to projects involving session types, distributed systems, and type-safe refactoring techniques. His educational background includes a PhD (not explicitly detailed here), and he actively engages in academic activities such as organizing events like Doors Open @ Computer Science 2025. Key research themes include concurrency control, functional programming paradigms, and improving code security through dependent types. Recent publications emphasize advancements in parallel language design, fault-tolerant protocols, and type-driven development. Collaborations span international conferences and institutions, reflecting his contributions to both theoretical and applied computer science domains.

• Computational Linguistics
• Formal Grammar
• Minimalist Grammars
• +۴ مورد دیگر

Jens Michaelis is a Professor at the Faculty of Linguistics and Literary Studies, Bielefeld University, specializing in Computational Linguistics, Text Technology, and Linguistic Creativity. He serves as Deputy Head of the Department of Linguistics, Clinical Linguistics, Text Technology and Computational Linguistics, and provides academic advising for Computational Linguistics programs. His office is located at UHG U5-231, with contact details including telephone +49 521 106-6915 and email jens.michaelis@uni-bielefeld.de . Maintaining active research roles, he leads project B01 'Coercion as a creative mechanism in compositional interpretation' within the SFB 1646: Linguistic Creativity in Communication. His teaching responsibilities span modules like 23-CL-BaCL2.1 Selected methodological aspects 23-CL-BaCL5 Advanced Module 23-CL-BaCL6 Project Module 23-LIN-Ma3.1 Basics of Computational Linguistics 23-MeWi-HM3a_a Mathematical-linguistic language modeling across both undergraduate and graduate programs. His scholarly work focuses on formal grammar properties, syntactic mechanisms, and computational modeling of language. As an ordinary member of the Faculty Conference and Habilitation Committee, he contributes to academic governance while maintaining an extensive publication record in mathematical linguistics, minimalist grammars, and formal language theory.

• Computational Physics
• Density Functional Theory (DFT)
• Atomistic Simulations
• +۹ مورد دیگر

Jaakko Akola is a Professor in the Department of Physics at the Norwegian University of Science and Technology (NTNU). His research focuses on computational materials science, particularly density functional theory (DFT) and atomistic simulations of materials, nanoparticles, molecules, and interfaces. He leads significant projects such as "SIDI" (inoculation in cast iron), "Infinity-RETIS" (chemical rare events), and "AllDesign" (rational alloy design), alongside coordinating EU-funded initiatives like "CritCat" for catalyst development. The Materials Theory group under Akola employs DFT, molecular mechanics, and Monte Carlo methods to explore atomic-scale structures and functions in technological applications. Key research areas include platinum-free catalysts for hydrogen energy, amorphous semiconductors for memory devices, noble metal nanoparticles in biological environments, and alloy design for cast iron and aluminum. Recent work integrates machine learning to advance theory-driven material design, reducing reliance on experimental trial-and-error. Akola's publications highlight advancements in hydrogen evolution catalysis, phase-change memory materials, and alloy precipitation. His projects often involve interdisciplinary collaborations with experimental teams. He teaches Quantum Physics 1 (FY2045) and Computational Physics (TFY4235) at NTNU, reflecting his commitment to education alongside research.

Periklis Andritsosمشاهده پروفایل

دانشیار

• Customer Journey Analytics
• Data Clustering
• Data Science
• +۴ مورد دیگر

Periklis Andritsos is an Associate Professor at the University of West Attica's Department of Informatics and Computer Engineering. Previously, he served as an Assistant Professor at the University of Toronto's Faculty of Information (iSchool). He holds a PhD in Computer Science from the University of Toronto (2004), with postdoctoral research under Professors Renée J. Miller and Kenneth C. Sevcik. His research focuses on data clustering, process mining, customer journey analytics, and database design. He co-founded Thoora Inc. (winner of TechCrunch 50 2009) and Odaia.ai, applying his work to real-world applications in banking and urban transport systems. Education: PhD in Computer Science, University of Toronto (2004); MEng from National Technical University of Athens (Diploma in Electrical & Computer Engineering). Awards: Multiple Best Paper Awards (ICPM 2021, ADBIS 2019), TechCrunch 50 Award, and recognition in industry collaborations with institutions like the National Bank of Denmark and Lausanne Municipality. Research Interests: Process mining for customer journey mapping, categorical data clustering (notably the LIMBO algorithm), and applications in sales process optimization, data warehousing, and entity lifecycle management. Service: Program committee roles at EDBT, SIGMOD, KDD, and other conferences; editorial contributions to journals and special issues. His work on LIMBO remains a benchmark in categorical clustering, while recent efforts in process mining have pioneered customer journey analytics. He actively engages with industry, notably through Odaia.ai's application of his research in customer journey mapping tools.

Michael Piehlerمشاهده پروفایل

استاد

• Environmental Sciences
• Marine Sciences
• Coastal Ecology
• +۵ مورد دیگر

Michael Piehler is the Cary C. Boshamer Distinguished Professor at the University of North Carolina at Chapel Hill, holding joint appointments in the Department of Environmental Sciences and Engineering within the Gillings School of Global Public Health and the Department of Earth, Marine, and Environmental Sciences within the College of Arts and Sciences. He serves as Director of the UNC Institute for the Environment and as Chief Sustainability Officer and Special Assistant to the Chancellor for Sustainability. His research focuses on the connection between human activity and natural systems, particularly at land-water interfaces. Piehler has extensive expertise in nutrient cycling, coastal ecology, and water quality, with particular emphasis on how coastal habitats like oyster reefs, seagrass beds, and salt marshes function in nutrient dynamics and contribute to coastal resilience. Analysis of his recent publications reveals a consistent research trajectory centered on coastal biogeochemistry, with particular attention to nitrogen cycling processes in various coastal habitats. His work spans fundamental microbial processes to applied coastal management solutions, demonstrating strong translational research that connects basic science with practical environmental management. Cary C. Boshamer Distinguished Professor (2025) Piehler has advised numerous graduate students who have gone on to successful careers in academia, government, and research institutions. His lab has received significant funding from federal, state, and regional sponsors, including the Strategic Environmental Research and Development Program (SERDP) for the decade-long DCERP project examining nutrient processing at Marine Corps Base Camp Lejeune. The lab has also developed innovative approaches to environmental monitoring using low-cost, open-source technology for real-time stream data collection. His research group has made foundational contributions to quantifying the positive impacts oyster reefs can have on water quality, which has helped shift the research community's focus toward this critical aspect of coastal resilience.

• Air Transportation
• Queueing Theory
• Simulation
• +۵ مورد دیگر

John F. Shortle is a Professor and Chair in the Department of Systems Engineering and Operations Research at George Mason University (GMU), part of the Volgenau School of Engineering. He specializes in applying queueing theory and stochastic processes to aviation safety, air transportation systems, and energy systems. Shortle has led major research initiatives funded by the FAA, NASA, and the Department of Energy, focusing on improving air traffic safety through advanced simulation and risk analysis techniques. Affiliations: Center for Air Transportation Systems Research (CATSR), GMU Education: PhD (UC Berkeley), MS (UC Berkeley), BS (Harvey Mudd College) Research Interests Shortle’s work emphasizes simulation methodologies, queueing theory applications, and stochastic modeling for critical infrastructure systems. Key areas include: Collision risk analysis in air transportation Aviation safety modeling (e.g., wake turbulence, event tree analysis) Energy systems reliability (e.g., blackout analysis) Autonomous systems validation Publications & Awards He co-authored the widely used textbook Fundamentals of Queueing Theory (5th ed., Wiley, 2018) and holds over 100 peer-reviewed publications. Notable awards include the Daniel H. Wagner Prize (2000) and the Military Operations Research Journal Award (2016). Leadership & Service President, INFORMS Simulation Society (2016–2018) Board Member, Winter Simulation Conference (2023–present) Editorial roles: IEEE Transactions on Reliability , Journal of Probability and Statistical Science Teaching Teaches advanced courses in stochastic processes (OR 645), queueing theory (OR 647), and dynamic systems (SYST 320).

• Model Theory
• Mathematical Logic
• Shelah's Classification Theory
• +۵ مورد دیگر

Artem Chernikov is a Professor and the Michael Brin Endowed Chair in Mathematics at the University of Maryland, College Park. His research focuses on model theory, particularly Shelah's classification theory (stability, simplicity, NIP, NTP2), and its applications to algebra, geometry, combinatorics, and computer science. He has held academic positions at UCLA from 2015 to 2023, progressing from Assistant to Full Professor. Chernikov earned his Ph.D. in Mathematical Logic from Université Claude Bernard Lyon 1 (2012) under Itaï Ben Yaacov, and prior education includes a master's from Humboldt University Berlin and a diploma in Information Systems from the State University of Telecommunications in St. Petersburg. His research interests emphasize the interplay between model theory and combinatorics, including studies on dependent (NIP) theories, valued fields, and applications to algebraic structures. Chernikov has organized numerous conferences and workshops, including events at the Fields Institute, National University of Singapore, and CIRM. He is an editor for Model theory and Mathematical Logic Quarterly . Key awards include the Sacks Prize (2013) for best thesis in mathematical logic, Sloan Research Fellowship (2016), NSF CAREER Award (2017), and Simons Fellowship (2020). His funded projects include NSF grants exploring model-theoretic classification and its combinatorial applications. Chernikov has advised numerous graduate students (e.g., Alex Mennen, Chuyin Jiang) and postdocs (e.g., Benjamin Castle, Mariana Vicaria). He also supervises undergraduate research, including projects on logic and model theory. His work bridges foundational logic with applied areas like combinatorics and algebraic geometry.

Sally McCleanمشاهده پروفایل

استاد

• Process Mining
• Business Process Management
• Activity Recognition
• +۹ مورد دیگر

Professor Sally McClean is an academic at Ulster University's School of Computing , holding the title of Professor of Mathematics . Her research spans computational mathematics, machine learning, and process mining, with applications in healthcare, IoT, and smart cities. Focus areas include Process Mining , Activity Recognition , and Lead Toxicity Prediction Funded by organizations like The Royal Society and Invest Northern Ireland Her work contributes to the UN Sustainable Development Goals in health and technology domains. Recent publications analyze smart home IoT systems, emergency department logistics, and federated process mining privacy frameworks. Awarded Honorary award (2021) for heartbeat rhythm analysis Received TM Forum Catalyst Industry Contribution (2022)

Emma Lathan-Powellمشاهده پروفایل

استادیار

• Interpersonal Trauma
• Gender-Based Violence
• Trauma-Informed Care
• +۳ مورد دیگر

Emma Lathan-Powell is an Assistant Professor in the Department of Psychological Sciences at Auburn University's College of Liberal Arts, where she leads trauma-focused research on gender-based violence and systemic responses. As a Licensed Psychologist, she directs the Lotus Lab, which implements community-based interventions to improve outcomes for survivors of sexual assault and intimate partner violence. Her educational background includes: BA in Psychology (Minor: Human Development & Family Studies) from Auburn University MS in Applied Psychology from the University of South Alabama PhD in Clinical and Counseling Psychology from the University of South Alabama She completed a pre-doctoral internship at The University of Texas Health Science Center at Houston and a postdoctoral fellowship at Emory University's Grady Trauma Project. Dr. Lathan-Powell's research examines how trauma exposure intersects with healthcare and criminal justice systems, with particular emphasis on Black women's experiences , sexual/gender minority victimization , and institutional betrayal . Her work employs mixed methods to develop trauma-informed protocols that reduce retraumatization and enhance system engagement. The Lotus Lab (named for resilience symbolism) focuses on sustainable, community-driven change through projects like pet-friendly domestic violence shelters and trauma-informed police training. Recent publications (2023-2025) reveal three dominant trends: (1) Healthcare system failures in trauma response, particularly regarding Black maternal health and institutional betrayal; (2) Racial and gender disparities in trauma outcomes; (3) Implementation science for trauma-informed care across medical and legal settings. Over 60% of her recent work involves community partnerships addressing real-world intervention gaps. She teaches PSYC 3970: Psychological Trauma and Resilience and collaborates with researchers at Emory University, Georgia State University, and the University of South Alabama on projects spanning healthcare betrayal, trauma disclosure, and law enforcement responses. Current initiatives include the Pet-Friendly Domestic Violence Shelter Studies with Auburn's College of Veterinary Medicine and the Health Care Betrayal Study with Candice Selwyn.

Mariano Ricoمشاهده پروفایل

دانشیار

• Linked Open Data
• Natural Language Processing
• Semantic Web Technologies
• +۳ مورد دیگر

Mariano Rico is an Associate Professor at the Polytechnic University of Madrid (UPM), affiliated with the OEG research group in the Artificial Intelligence Department. Previously, he served as a Senior Researcher at OEG (2016-2020) and held teaching roles at the Autonomous University of Madrid (UAM). His primary affiliations include the UPM's Faculty of Computer Science and the UAM's Computer Engineering Department. Education: PhD in Computer Science (UAM, 2009), MSc in Physics (UAM, 1992), and postgraduate studies in Telecommunications Engineering. He conducted research stays at DERI (Ireland) and Freie Universität Berlin, focusing on Semantic Web and Linked Data. Research interests center on Linked Open Data, Natural Language Processing (NLP), and Semantic Web technologies, with contributions to DBpedia's Spanish branch and projects like Wf4Ever and LIDER. He actively collaborates with institutions in Leipzig, Bielefeld, and Berlin on Linked Data and linguistic applications. Teaching: Coordinates courses in NLP, Linguistic Engineering, and Big Data Visualization at UPM and online programs. Has instructed over 300 UAM faculty through teacher training programs on LaTeX, bibliographic management, and digital scholarly practices. Projects: Lead roles in European and national initiatives including SlideWiki, UpGrid, and Neptune. Current work focuses on NLP applications like text summarization (esT5s) and terminology tools (TermInteract). Labs/Teams: Core member of the OEG group, contributing to semantic web infrastructure and NLP tool development. Maintains international collaborations through AKSW and CITEC groups.

Brian R. Tooneمشاهده پروفایل

استادیار

• Web Engineering
• Software Engineering
• Trust and Security
• +۶ مورد دیگر

Brian R. Toone serves as an Assistant Professor in the Department of Mathematics and Computer Science within Samford University's Howard College of Arts and Sciences. A native of Hoover, Alabama, he teaches in Samford's growing computer science program with a focus on one-on-one student interaction. Toone holds a BS in Computer Engineering from Clemson University and both MS and PhD degrees in Computer Science from the University of California-Davis. His educational background prepared him for a career that blends academic research with practical software development experience. His research spans multiple areas of computer science with particular focus on web engineering, software engineering, trust and security systems, programming languages, database applications, and parallel processing. Toone is actively working to apply software engineering concepts to web application development and optimization, with special interest in bringing parallel computation capabilities to web applications. He is currently building a virtual supercomputer by networking department computers to donate idle processing cycles across campus. His publication history reveals consistent research in trust mediation for distributed information systems, with significant work between 1998-2008. His research evolved from control flow prediction in high-performance computing (1998) to web engineering and Ajax applications (2006-2008), showing adaptability to changing technology landscapes. Toone is an active member of professional organizations including the Association for Computing Machinery (ACM) and the Institute for Electrical and Electronics Engineers (IEEE). His research has been presented at numerous conferences including the ACM Mid-Southeast Chapter, Alabama Academy of Science, and various security and information systems conferences. Beyond academia, Toone is a competitive cyclist who has participated in major endurance cycling events including Paris-Brest-Paris (2023) and Race Across America (2017), where he raised awareness for Duchenne Muscular Dystrophy through the Ride4Gabe initiative.

Sheng-Yang Heمشاهده پروفایل

استاد

• Plant-Microbe Interactions
• Plant Immunity
• Climate Change Impact on Disease
• +۳ مورد دیگر

Sheng-Yang He is the Benjamin E. Powell Distinguished Professor of Biology at Duke University's Trinity College of Arts & Sciences, holding concurrent appointments in Cell Biology (Basic Science Departments) since 2022. Previously, he served at Michigan State University from 1995, including roles as University Distinguished Professor (2013–2020) and Howard Hughes Medical Institute Investigator (2011–2024). He earned his Ph.D. in Plant Pathology from Cornell University in 1991. His research focuses on host-microbe interactions, particularly plant immunity against pathogens like Pseudomonas syringae and the impact of climate change on disease dynamics. Key interests include microbiome regulation, bacterial effector proteins, and plant defense mechanisms in Arabidopsis and agricultural crops. His lab explores strategies to enhance plant resilience through understanding co-evolutionary processes. Recent work highlights discoveries in postharvest fruit immunity, pathogen-induced membrane channels, and microbiome roles in autoimmune responses. He has secured major grants from NIH and USDA, including a $1.9M NIH award studying bacterial pathogenesis mechanisms. Awarded membership in the National Academy of Sciences (2015) and AAAS Fellow (2012), He has mentored numerous students through courses like BIOLOGY 531S (Interplay Between Plants and Climate Change) and advises on training programs like the Tri-Institutional Molecular Mycology Training Program. His lab maintains an active presence in both academic and applied plant science communities.

Stuart Littlefairمشاهده پروفایل

استاد

• Astrophysics
• Interacting binary stars
• High time resolution astrophysics
• +۵ مورد دیگر

Professor Stuart Littlefair is a Professor of Astrophysics at the University of Sheffield's School of Mathematical and Physical Sciences. His research focuses on Interacting binary stars , Brown dwarfs and low-mass stars , Star formation , and High time resolution astrophysics . He contributes to projects like the Gravitational-wave Optical Transient Observer (GOTO), which detects transient astrophysical events. His work bridges observational astronomy and theoretical modeling, emphasizing multi-messenger astronomy and gravitational wave source identification. Research interests include studying accretion processes in compact binaries, AGN variability, and transient phenomena like gamma-ray bursts. Recent publications highlight his involvement in analyzing high-cadence optical/X-ray data (e.g., NGC 4395 AGN variability studies) and discovering peculiar systems such as inflated brown dwarfs in eclipsing binaries. He collaborates internationally, serving on committees like the ESO Observing Programmes Committee and the LSST:UK Board. Teaching activities include PHY241 Observational Astronomy . Professional roles include leading the Astrophysics Research Cluster and contributing to departmental administration (e.g., Head of Second Year Astrophysics). His work supports the University of Sheffield's astronomy infrastructure, including the GOTO telescope array.

William Mullins Pardoمشاهده پروفایل

دانشیار

• Social Media
• Political Economy
• Entrepreneurial Finance
• +۱ مورد دیگر

William Mullins Pardo is a tenured Associate Professor of Finance at the Rady School of Management, University of California, San Diego. His research investigates the intersection of social media, political forces, and financial markets, with publications in top-tier journals including the Journal of Finance and Review of Financial Studies. He teaches Core Finance in the MBA program and Valuation Analysis in the Master of Quantitative Finance program, having received five Rady Teaching Awards. His academic credentials include a PhD in Finance from MIT, an MSc in Economics from Universidad Católica de Chile, and a BA from the University of Oxford. Born in Chile, he previously served as an Advisor to Chile's Minister of Finance, contributing to capital-market and corporate-tax reforms. Mullins' research spans four primary domains: social media's impact on financial decision-making, political economy effects on innovation and entrepreneurship, credit market dynamics for immigrants, and banking relationships under unconventional monetary policy. His work frequently employs natural experiments and large-scale datasets to isolate causal mechanisms, such as analyzing voter polarization from historical food stamp programs or celebrity influence in cryptocurrency markets. Analysis of his recent publications reveals a pronounced interdisciplinary trajectory, merging finance with political science and sociology. Key trends include the quantification of political sentiment effects on patenting activity, the role of social media in creating information silos among investors, and longitudinal studies of policy-induced racial polarization in voting behavior. His scientific contributions have earned significant recognition: Best Paper Prize in Corporate Finance at the 2022 MFA Conference Editor's choice in the Journal of Financial Economics (2024) Kahle Family Research Excellence Award from UC Boulder (2024) Multiple best paper awards at major finance conferences including WFA and MFA Mullins maintains active industry engagement through case studies on Chilean economic unrest and Walmart's response to social movements. His current working papers explore racial politicization of welfare programs and celebrity persuasion in financial markets, demonstrating continued scholarly momentum.

Đorđević Markoمشاهده پروفایل

دانشیار

• Computational Biology
• Systems Biology
• Infectious Diseases
• +۷ مورد دیگر

Marko Djordjevic is an Associate Professor at the Faculty of Biology, University of Belgrade. His research spans computational biology of infectious diseases, bacterial immune systems (CRISPR/Cas and restriction-modification systems), and quantitative understanding of infection progression with applications to SARS-CoV-2 and computational physics of quark-gluon plasma. Diploma in Physics, Faculty of Physics, University of Belgrade, Serbia. PhD in Biophysics and Bioinformatics, Department of Physics, Columbia University, USA. Postdoctoral training at the Mathematical Biosciences Institute, Ohio State University, USA. Djordjevic's research focuses on nonlinear regulatory dynamics of bacterial immune systems, their role in horizontal gene transfer, and modeling infection progression under social mitigation measures. His secondary interest in computational physics examines quark-gluon plasma dynamics via high-p⊥ observables and tomography. His recent publications address CRISPR/Cas regulation, restriction-modification systems, and SARS-CoV-2 transmissibility drivers. Grants from the Serbian Ministry of Science, Science Fund of Serbia, EU Marie Curie IRG, and Swiss National Science Foundation support his work.