جست‌وجوی استاد و پژوهشگر

• Machine Learning
• Pattern Recognition
• Information Fusion
• +۳ مورد دیگر

Tony Pinar serves as an Associate Teaching Professor and Senior Design Coordinator in the Department of Electrical and Computer Engineering at Michigan Technological University. His academic credentials include: PhD in Electrical Engineering (2017) MS in Electrical Engineering (2014) BS in Electrical Engineering (2011) Dr. Pinar's research centers on Machine Learning and Pattern Recognition , with significant contributions to Information Fusion and Signal Processing . His work bridges theoretical frameworks like fuzzy Choquet integrals with practical applications including explosive hazard detection systems and autonomous underwater vehicles. Current projects focus on explainable AI methodologies and real-time data fusion for engineering systems. Publications from 2016-2018 reveal a consistent trajectory in fuzzy integral applications across domains: defense technology (explosive detection), robotics (underwater gliders), and AI interpretability. Key themes include decision-level fusion optimization, multiple kernel learning, and adapting theoretical models to constrained data environments—demonstrating strong interdisciplinary alignment between electrical engineering and machine learning. Prior to academia, Dr. Pinar worked as an electrical design engineer at GE Aviation developing avionic test systems. He maintains industry engagement through independent engineering consulting while leading the ROUGHIE (Research Oriented Underwater Glider for Hands-on Investigative Engineering) development initiative.

• Algorithm Engineering
• Efficient Algorithms and Data Structures
• Intelligent Computing & Engineering
• +۱۱ مورد دیگر

Christos Zaroliagis is a Full Professor in the Department of Computer Engineering & Informatics at the University of Patras, Greece, where he serves as Head of the Intelligent Computing & Engineering Lab (ICE Lab). He is also a Senior Research Associate at the Computer Technology Institute & Press "Diophantus" in Patras. Previously, he held positions at the Max-Planck-Institut für Informatik in Saarbrücken, Germany, and the Department of Informatics at King's College, University of London, UK. He was also a visiting Professor and KIT Distinguished Research Fellow at the Karlsruhe Institute of Technology in Germany. Professor Zaroliagis specializes in algorithm engineering, optimization, decentralized computing, and cryptography & information security, with applications in large-scale networks and systems. His research has significant focus on mobility in smart cities, intelligent transportation systems, and big data analysis. He has published extensively in major international journals and conferences, and has served as editor for several academic journals including Algorithms, Journal of Discrete Algorithms, and ACM Journal of Experimental Algorithmics. His work spans both theoretical foundations and practical implementations, with numerous software libraries and systems developed under his leadership. His recent publications demonstrate continued innovation across cloud computing, intelligent transportation systems, decentralized computing, and big data analytics, showing a clear progression from foundational algorithm design to practical applications in smart city infrastructure. The research shows strong interdisciplinary connections between computer science, operations research, and urban planning. prize award 2012 for Academic and Scientific Excellence awarded by the Greek Ministry of Education KIT Distinguished Research Fellow Mercator Fellow Professor Zaroliagis leads the Intelligent Computing & Engineering Lab (ICE Lab), which has produced several significant software systems including PGL (graph algorithms library), ECC-LIB (cryptography library), Searchius (collaborative search engine), and iClone (social navigation system). His academic service includes heading the EURAXESS Services Center of the University of Patras and serving as National Contact Point for the FP7 PEOPLE Program - Mobility. He has been extensively involved in organizing international conferences and serving on program committees across computer science.

Sümeyye KAYNAKمشاهده پروفایل

استادیار

• Artificial Intelligence
• Cloud Computing
• Environmental Informatics
• +۳ مورد دیگر

Sümeyye KAYNAK serves as an Assistant Professor in the Department of Computer Engineering at Sakarya University's Faculty of Computer and Information Sciences. Her academic profile demonstrates interdisciplinary expertise bridging computer science with environmental sustainability and educational technology through computational modeling and data-driven solutions. Her educational foundation includes: Doctorate (2019) from Sakarya University Institute of Science/Computer and Information Engineering with thesis on solar energy potential modeling using 3D data Master's degree (2014) from same institution focusing on AI-based student counseling infrastructure Bachelor's degree (2012) in Computer Engineering from Sakarya University Faculty of Engineering Dr. KAYNAK's research integrates advanced computational methodologies across multiple domains. Her primary focus areas include Artificial Intelligence applications for resource allocation in cloud manufacturing (utilizing genetic algorithms and AHP), Environmental Informatics for flood modeling and hydrological analysis, and Sustainable Energy systems through solar potential estimation tools. Recent work demonstrates significant expansion into geospatial web components for earth science agencies and digital twin frameworks for urban infrastructure resilience, reflecting growing emphasis on climate change adaptation technologies. Publication analysis from 2012-2025 reveals a clear research evolution: early work (2012-2018) concentrated on educational AI systems and solar energy tools, while current output (2023-2025) prioritizes environmental applications with city-scale flood impact modeling, hydroinformatics, and open data frameworks. This trajectory shows increasing sophistication in real-time data analytics and cross-domain integration, particularly between manufacturing systems and environmental monitoring. No scientific awards were documented in the source materials. Regarding academic mentoring, the available documentation contains no references to graduate student supervision or grant-funded research projects. No laboratory affiliations or research team leadership roles were specified in the provided information.

Karsten Meyerمشاهده پروفایل

استاد

• Inorganic Chemistry
• Coordination Chemistry
• Actinide Chemistry
• +۵ مورد دیگر

Prof. Dr. Karsten Meyer is a Professor at Friedrich-Alexander University Erlangen-Nuremberg (FAU), leading the Chair of Inorganic and General Chemistry (ACII) within the Department of Chemistry and Pharmacy. His research group is based in Room A 3.4 at Egerlandstr. 1, 91058 Erlangen, Germany, with contact information including phone +49 9131 85-27360 and email karsten.meyer@fau.de. Dr. Meyer's research spans classical coordination chemistry with supramolecular, organometallic and bioinorganic chemistry. His laboratory specializes in synthesizing custom-tailored ligand architectures and their transition and actinide metal coordination complexes. These complexes exhibit unprecedented coordination modes and unusual electronic structures, resulting in enhanced reactivities toward small molecules such as H 2 O, O 2 , CO, CO 2 , NO, N 2 O, and organic azides. His work encompasses the relatively unexplored uranium chemistry, transition-metal-based catalysts in ionic liquids and liquid crystals, and platforms for charge and light-driven catalytic processes relevant to sustainable energy cycles. Analysis of Dr. Meyer's recent publications (2021-2025) reveals a strong emphasis on actinide chemistry (particularly uranium), iron complexes across multiple oxidation states, small molecule activation mechanisms, and catalytic applications in sustainable energy systems. His research demonstrates expertise in molecular geometry manipulation, redox chemistry, and the design of novel ligand systems for metal coordination. The work frequently bridges fundamental molecular chemistry with potential applications in energy conversion and catalysis. Dr. Meyer's laboratory employs a comprehensive suite of spectroscopic and magneto-chemical methods including EPR and Mössbauer spectroscopy, SQUID magnetometry, and single-crystal X-ray diffractometry. The research combines synthetic and physical inorganic chemistry with modern computational methods (geometry optimization, reaction profile and electronic structure calculations) to elucidate electronic structures and reactivity mechanisms. The laboratory environment is described as collaborative and team-oriented, providing training in diverse inorganic and organic synthetic techniques as well as various spectroscopic and computational methods. The ultimate long-term objectives of Dr. Meyer's research include developing efficient catalysts for metal-assisted conversion of abundant natural substrate resources and discovering renewable energy sources. His work on small molecule activation and atom or group transformation aims to functionalize important organic precursor molecules, with potential applications across multiple chemical industries.

Alfred Taudesمشاهده پروفایل

استاد

• Production Management
• Strategic Management in High-Tech Industries
• Real Options
• +۵ مورد دیگر

Prof. Dr. Alfred Taudes is a faculty member at the Vienna University of Economics and Business, affiliated with the Department of Information Processing and Process Management under the Institute for Production Management. His research spans Production Management, Strategic Management in High-Tech Industries, Real Options, Supply Chain Management, and SAP R/3 integration, with significant contributions to Quantitative Models of Learning Organizations. Key research areas: Production/Operations Management, Strategic High-Tech Industry Analysis, Real Options Theory Notable collaborations with researchers like Mild, Natter, and Dorffner Focus on empirical validation of models in marketing, supply chain optimization, and software platform decisions His publications demonstrate interdisciplinary trends combining Management Science , Information Systems , and Machine Learning . Recurring subfields include Neural Network Applications , Real Options Valuation , Consumer Behavior Modeling , and Process Migration in Distributed Systems . While no explicit scientific awards are listed, his work has been disseminated through leading journals and conference proceedings.

Lester I. McCannمشاهده پروفایل

استاد

• Computer Science education
• database management systems

Lester I. McCann is a Professor of Practice in the Department of Computer Science at the University of Arizona, with his office located in GS 819. He earned his Ph.D. from North Dakota State University in 1994 and maintains active contributions to computer science research and education. Educational Background: Ph.D., North Dakota State University, 1994 Professor McCann's research centers on Computer Science education and database management systems. He developed innovative educational tools including "Graph Magic" for visualizing graph algorithms and "Guided slides" for tablet-based flexible lectures. His database work addresses relational algebra comprehension and concurrency control in high-performance computing environments, bridging theoretical concepts with practical pedagogy. His publication timeline from 1990-2008 reveals a strategic shift from foundational database research (multidatabase systems, concurrency control) toward educational technology development. This evolution highlights sustained commitment to enhancing computer science instruction through software tools, assignment design, and visualization techniques across algorithms, data structures, and database courses. Scientific Awards: No awards mentioned in the provided text. Available documentation contains no references to student advising relationships, research grants, or laboratory affiliations. His professional activities appear focused on classroom innovation and publication without indication of grant-funded projects or mentored graduate students in the source materials.

Tomka Yuriy Yaroslavovychمشاهده پروفایل

دانشیار

• Software architectures
• enterprise application development
• .NET platform
• +۳ مورد دیگر

Yuriy Yaroslavovych Tomka is an Associate Professor in the Department of Computer Science at Yuriy Fedkovych Chernivtsi National University. He holds a Candidate of Physical and Mathematical Sciences degree and has been serving as an Associate Professor since April 15, 2021. His academic work spans software engineering, neural networks, and biomedical image processing, with numerous publications in these fields. Dr. Tomka's educational background includes: Bachelor's degree in Laser and Optoelectronic Engineering from Yuriy Fedkovych Chernivtsi National University (2005), with honors Candidate of Physical and Mathematical Sciences degree (2009) in specialty 01.04.05 – Optics, Laser Physics Dr. Tomka's research interests focus on software architectures, enterprise application development on the .NET platform, pattern recognition, digital image processing, and neural networks. His work bridges theoretical computer science with practical applications in biomedical diagnostics, financial technology, and e-commerce systems. He has made significant contributions to the development of information systems, machine learning applications, and educational methodologies in computer science. Analysis of Dr. Tomka's recent publications reveals a strong focus on practical applications of software engineering principles, particularly in the .NET ecosystem. His work spans from fundamental software architecture to specialized applications in biomedical imaging and financial forecasting. There's a clear trend toward interdisciplinary research, combining computer science with fields like medicine and finance, demonstrating the versatility and applicability of his technical expertise. Dr. Tomka has received recognition for his mentorship, guiding student research that won second-degree diplomas in national competitions. His professional development includes numerous certifications in modern software technologies from institutions like Sigma Software University. As an active member of the Bukovina Information Technology Cluster named after Joseph Schumpeter since 2019, Dr. Tomka contributes to regional IT development initiatives. He also provides scientific consulting to the Limited Liability Company "Buknanotech" and has managed research projects including "Development of new methods and biomedical systems for polarization-holographic fractalmetry of crystallites of tissues and fluids of human organs" (2019-2021).

• Process Mining
• Software Process Mining
• Object-Oriented Programming
• +۷ مورد دیگر

Sergey Shershakov is an Associate Professor at the Faculty of Computer Science, Department of Software Engineering at the National Research University Higher School of Economics (HSE University). He serves as the Academic Director of the Systems and Software Engineering educational program and has been with HSE University since 2010. His academic journey includes a PhD from HSE University (2020) and a Master's degree in Software Engineering from the same institution (2012). Dr. Shershakov's research focuses primarily on Process Mining and Software Engineering, with specific interests in: Process Mining methodologies and tools Software Process Mining and analysis Object-Oriented and Component-Oriented Programming Information Systems Architecture Verification of Algorithms Embedded Systems development His scholarly contributions demonstrate a consistent focus on developing practical tools and methodologies for process mining, with particular emphasis on creating graphical interfaces (like VTMine for Visio), improving performance of process mining algorithms, and applying these techniques to real-world systems. His work bridges theoretical computer science with practical software engineering applications, especially in the domain of business process analysis and optimization. Dr. Shershakov has received numerous recognitions for his academic work: Best Teacher award (2014, 2017-2021) Best Academic Supervisor in the category 'Admission of Foreign Students' (2024) Multiple Gratitude awards from HSE University leadership (2017-2024) Academic Work Allowance (2016-2021) Member of the 'New Researchers' category in the High Professional Potential Group (2014-2015) As an educator, Dr. Shershakov teaches multiple courses in C++ programming, Algorithms and Data Structures, and Introduction to Programming across different departments at HSE University. He leads research projects including an RFBR grant focused on 'Development of methods for efficient implementation of algorithms of process mining based on large event logs' (2018). He is also an active member of the IEEE Task Force on Process Mining. Dr. Shershakov is affiliated with the Laboratory of Process-Aware Information Systems (PAIS Lab) at HSE University, where he conducts research on process mining techniques and their applications. His work has significant implications for business process optimization, system verification, and software engineering practices.

• Information Systems Architecture
• Design Patterns
• Object-Oriented Programming
• +۵ مورد دیگر

Sergey Aleksandrovich Videnin is an Associate Professor at the Department of Software Engineering within the Faculty of Computer Science at the National Research University Higher School of Economics (HSE University) since 2022. His academic background includes a Candidate of Pedagogical Sciences degree (2010) and extensive professional experience in both academia and industry. Prior to joining HSE, he served as Deputy Director of the IT Education Development Center at Moscow Institute of Physics and Technology (2021-2022) and as Head of the Department of Information Systems at Siberian Federal University (2010-2021). Videnin's educational background includes graduation from Krasnoyarsk State Pedagogical University named after V.P. Astafyev in 2005 with a specialty in "Informatics with an additional specialty in pedagogy-psychology" and qualification as a "Teacher-psychologist." He has completed numerous professional development courses in educational technologies, digital transformation of education, and software engineering from HSE University, Siberian Federal University, and other institutions between 2011 and 2025. His research interests span information systems architecture, design patterns, object-oriented programming theory, theoretical foundations of programming, programming languages, and application software. Videnin has made significant contributions to educational technology, particularly in implementing active learning methods in programming education within the CDIO (Conceive-Design-Implement-Operate) engineering education framework. Videnin's recent publications demonstrate a strong focus on the intersection of software engineering principles and educational practices, with particular attention to practical applications in real-world contexts including real estate market analysis, biological image processing, and industrial process control. His work shows a consistent trend toward developing practical solutions that bridge theoretical concepts with tangible applications across diverse domains. Gratitude from the Department of Software Engineering, HSE (November 2023) Best Teacher - 2023-2025 High professional potential group (HSE personnel reserve) Category "New teachers" (2023) Winner of the All-Russian competition "League of Lecturers" organized by the Russian society "Knowledge" (May 2023) Videnin has been actively involved in teaching various computer science courses including Software Design, Computer System Architecture, Operating Systems, and Java Programming. He has participated in significant research projects funded by RFBR, the Ministry of Education RF, and RSF, focusing on information systems architecture, digital transformation of education, and industrial process control. His work demonstrates a strong commitment to both theoretical research and practical applications in software engineering and educational technology.

• Algorithms
• Information System Architecture
• Petri Nets
• +۵ مورد دیگر

Alexey Alexandrovich Mitsyuk serves as Associate Professor at the Department of Software Engineering within the Faculty of Computer Science at the National Research University Higher School of Economics (HSE), where he also holds the position of Deputy Dean for Research and Senior Research Fellow at the Research and Educational Laboratory of Process-Oriented Information Systems (POIS). He has been working at HSE since 2013 with 12 years of scientific and teaching experience. Mitsyuk is also a member of the Academic Council of HSE. His educational background includes a PhD from HSE (2019) with a dissertation on "Correction of process models while preserving their structure based on event logs" and a specialist degree in Applied Mathematics from Moscow State Institute of Electronics and Mathematics (2009). He is actively involved in professional associations including IEEE Task Force on Process Mining and BPM Association. Mitsyuk's research focuses on process mining, Petri nets, software architecture, data visualization, and algorithms. His work bridges theoretical computer science with practical applications in software engineering and educational analytics. He has supervised numerous student theses across bachelor's and master's programs, with students completing research on topics ranging from software architecture analysis to process mining applications. His publication record shows consistent contributions to the field of process mining and software engineering, with recent work focusing on advanced visualization techniques, process model correction, and applications of process mining in educational and mobile contexts. His research demonstrates a clear progression from theoretical foundations of process modeling to practical applications in software development and education. Honorary certificate from HSE (May 2025) Gratitude from the Faculty of Computer Science (August 2022) Best teacher awards (2015-2025) High professional potential group (HSE reserve staff) Competition for best Russian-language scientific works (2024) Mitsyuk has coordinated research activities of the faculty, created new research groups, monitored grants, and analyzed publication activities. He led a student team that won first place in the BPI Challenge 2017 student category. His teaching includes courses on Software Systems Architecture and Mathematical Methods of Process Analysis in Software Engineering. He is actively involved in numerous conferences as committee member and reviewer, particularly in the fields of process mining and software engineering.

• Accounting Information Systems
• Ontology
• Blockchain
• +۳ مورد دیگر

William McCarthy serves as a Professor in the Department of Accounting and Information Systems at Michigan State University's Broad College of Business. His research pioneered the Resource-Event-Agent (REA) accounting ontology, establishing foundational frameworks for modern accounting information systems. With ongoing teaching activities documented through 2024 (including graduate courses ACC-821, ACC-823, and ACC-825), he remains an active faculty member advancing the integration of emerging technologies like blockchain into accounting practice. McCarthy's research spans Accounting Information Systems, Ontology, Blockchain, Enterprise Information Systems, Semantic Modeling, and Design Science. He developed the REA model as a generalized framework for shared-data accounting environments, later expanding it into formal ontologies for enterprise modeling. His current work analyzes blockchain's disruptive potential in accounting systems, as highlighted in the Spartan BizCast episode and New York City conference presentations. This research bridges theoretical accounting models with practical enterprise applications through semantic modeling and design science methodologies. Analysis of his 15 most recent publications (1997-2013) reveals three evolving research trajectories: (1) ontological expansion of the REA model into policy specifications and temporal dimensions, (2) blockchain and internet-era applications for supply chain collaboration, and (3) design science methodology development for accounting information systems. His work consistently emphasizes semantic modeling to create interoperable enterprise architectures while addressing innovation gaps between academic research and professional practice. Professor McCarthy has mentored graduate students through specialized courses in accounting information systems from 2011-2024, with teaching ratings publicly available. While the provided text doesn't detail specific grants or awards, his sustained publication record in premier journals like The Accounting Review and Accounting Horizons demonstrates significant research impact. No laboratory or research team affiliations are mentioned in the source materials.

Suresh Jagannathanمشاهده پروفایل

استاد

• Programming Language Semantics
• Formal Verification
• Type Theory
• +۷ مورد دیگر

Professor Suresh Jagannathan is a leading researcher in programming languages and formal verification. His work focuses on semantics of high-level languages, type theory, program analysis, and compiler design, with a particular emphasis on concurrent and distributed systems. He explores formal methods for certified compilation, memory model consistency, and verification techniques enabling safe program optimizations. Core research areas: programming language semantics, formal verification, type theory, compiler design Key applications: concurrent/distributed systems, certified compilation, safe neural network verification Recent publications highlight his contributions to automated verification of concurrent data structures, type-guided repair of input generators, and differentiable logic specifications for AI planning systems. His work combines theoretical rigor with practical implementations like ECOOP best papers and tool developments. Professor Jagannathan has received multiple scientific awards (not specified in available data) and maintains active collaborations with researchers in formal methods and systems verification communities.

Tillmann Rendelمشاهده پروفایل

پژوهشگر ارشد

• Programming Languages
• Software Engineering
• Domain-Specific Languages (DSLs)
• +۴ مورد دیگر

Tillmann Rendel is a Research Fellow at the University of Tübingen , affiliated with the Department of Programming Languages and Software Technology . He contributes to projects involving DSLs , language design , and program transformations . Education: M.Sc. in Computer Science. Research interests center on programming languages , focusing on modular systems , functional programming , and domain-specific language implementation . His work explores invertible syntax descriptions , copattern matching , and variability-aware testing . Publications highlight advancements in parsing , DSL design , and language composition , with a strong emphasis on formal semantics , compiler design , and interactive development tools . Scientific Awards: Most Influential Paper Award at GPCE 2018 for 'Polymorphic Embedding of DSLs' (2008 paper co-authored with Hofer, Ostermann, and Moors). Collaborations include key contributions to the Uroboro project , participation in Dagstuhl Seminars , and presentations at major conferences like OOPSLA , ICFP , and DSLDI .

• Programming Languages
• Operating Systems
• Artificial Intelligence
• +۳ مورد دیگر

Christopher League is an Associate Professor of Computer Science at Long Island University. His research focuses on programming languages, operating systems, and artificial intelligence, with specialties in compilers, type theory, and computer security. His educational background includes: B.S. from Johns Hopkins University M.S. from University of Maryland, College Park Ph.D. from Yale University Professor League is dedicated to making software development more secure, convenient, and fun. He collects programming languages, studies next-generation features, and helps students comprehend the foundations of computing. His research spans a wide range of topics in computer science, including Programming Languages , Operating Systems , and Artificial Intelligence . He has a particular interest in the theoretical aspects of programming such as type theory and compilers , as well as practical applications in computer security . His recent publications reflect a diverse set of interests, from AI education and XML data compression to staged computation and type systems in object-oriented programming. The work shows a consistent theme of improving software development through language design and security. His awards include: Award for Teaching Excellence from the University of Maryland (1996) IBM Outstanding Undergraduate Award from Johns Hopkins University (1995) Information about Professor League's current advisees and research grants is not provided in the available text. Professor League contributes to various free and open-source software projects and is an active member of professional societies including ACM (SIGPLAN and SIGCSE) and IEEE Computer Society.

• Bioinspired Robotics
• Morphological Computation
• Soft Robotics
• +۷ مورد دیگر

Sara Abad Guaman is a Lecturer in Robotics, Control and Autonomous Systems at the Department of Mechanical Engineering , University College London , where she joined in 2022. Her research focuses on bioinspired robotics and morphological computation to enhance robotic adaptability for global challenges in healthcare, sustainability, and biodiversity. PhD in Robotics (Imperial College London) MSc in Artificial Intelligence (University of Southampton) BEng in Electronics and Control (Escuela Politécnica Nacional, Ecuador) Research Interests include soft robotics , haptics , and medical robotics . Her work bridges design engineering , bioinspiration , and control systems to create adaptable robotic systems. Key Awards : Policy Engagement and Impact Fellowship (2021) UCL IHE Impact Fellow (2020) SENESCYT Scholarship for MSc/PhD studies UNIVERSIDADES DE EXCELLENCIA award (2014-2019) Teaching includes Module Leadership for MECH0010 Instrumentation and Control, mentoring undergraduate students, and supervising MSc/PhD projects. She has also guest-lectured at UCL and served as Teaching Assistant at Imperial and King's College London.