جست‌وجوی استاد و پژوهشگر

Emre Çelebiمشاهده پروفایل

مدرس

• Industrial Engineering
• Operations Research
• Modeling and Optimization
• +۳ مورد دیگر

Dr. Emre Çelebi is a Lecturer in the Department of Industrial Engineering at Yeditepe University's Faculty of Engineering. He holds a PhD in Management Sciences from the University of Waterloo (2011) and has previously served as a Doctoral Lecturer at Kadir Has University (2012–2020). PhD: University of Waterloo, Management Sciences (2011) MSc: University of Waterloo, Management Sciences (2006) BSc: Istanbul Technical University, Management Engineering (2001) His research focuses on industrial engineering, operations research, and optimization models for electricity markets and supply chains. Key areas include tacit collusion detection, energy policy, market equilibrium, and low-carbon transitions. Recent publications analyze trilevel optimization for collusion prevention (2024), Γ-robust electricity market models (2023), and GENeSYS-MOD scenarios for Turkey's energy future (2022). Trends show interdisciplinary work in energy economics, game theory, and policy simulation. 2012 Eğitmen Ödülü, Kadir Has University He advises graduate students in topics like electricity price forecasting, hydrogen storage for energy markets, and data science applications in energy systems. Current projects include EU-funded S-PARCS and OpenENTRANCE initiatives for sustainable energy transitions.

Erik Sverdrupمشاهده پروفایل

مدرس ارشد

• Causal Inference
• Statistical Computing
• Data Science
• +۴ مورد دیگر

Erik Sverdrup is a Senior Lecturer in the Department of Econometrics & Business Statistics at Monash University. His research focuses on causal inference, statistical computing, and data science, with applications spanning mental health analytics, econometrics, and machine learning. Recent work has emphasized treatment effect heterogeneity, survival analysis, and algorithm development for complex healthcare and financial datasets. Research Interests: Causal inference, treatment effect modeling, statistical computing, mental health analytics, financial risk analysis. Key Collaborations: Involved in multi-institutional studies with applications to psychiatric research, veterans' health, and global disability assessment. Email Contact: Erik.Sverdrup@monash.edu

Valerie Pinfieldمشاهده پروفایل

استاد

• Physical acoustics
• Wave propagation
• Material characterisation
• +۹ مورد دیگر

Professor Valerie Pinfield is a distinguished academic at Loughborough University, where she serves as Professor of Ultrasonics and Complex Materials and Associate Pro-Vice-Chancellor for the Doctoral College. She has held several leadership positions including Head of the Department of Chemical Engineering (2017-2020), Director of Student Experience for the School of Aeronautical, Automotive, Chemical and Materials Engineering (2023-2024), and Acting Dean for the School (Sept 2024-Aug 2025). Her academic journey began with postdoctoral research at the Universities of Leeds and Nottingham before joining Loughborough University as a Lecturer in 2012, where she was awarded a personal chair in 2023. Professor Pinfield's educational background includes: MA in Natural Sciences from the University of Cambridge PhD in Food Science from the University of Leeds With a mathematical physics background, Professor Pinfield has developed a broad spectrum of research interests focused on the intersection of physical acoustics, materials science, and digital technologies. Her work spans from fundamental investigations of wave propagation through complex media to applied research in sustainable energy systems. She is particularly known for her contributions to understanding multiple wave scattering in soft complex materials, which has applications in material characterization and metamaterial design. Her recent research has expanded into machine learning and digitalization for material design and process optimization, with a strong emphasis on electrochemical technologies for sustainable energy. Professor Pinfield leads significant infrastructure and facilities projects in hydrogen technologies, spanning from sustainable propulsion for transport through materials development and testing to production and storage technologies. This work positions her at the forefront of research addressing global challenges in energy transition and sustainability. An analysis of Professor Pinfield's recent publications reveals a clear trajectory toward integrating advanced computational methods with traditional physics-based approaches. Her work increasingly combines machine learning with multi-physics modeling to address complex problems in energy systems and materials science. The focus on CO2 reduction and capture technologies demonstrates her commitment to addressing pressing environmental challenges through innovative engineering solutions. Her research bridges fundamental physics with practical applications in sustainable technologies. Professor Pinfield has received significant recognition for her contributions to academia and science: Fellow of the Institute of Physics (FInstP) Chartered Physicist (CPhys) Fellow of the Higher Education Academy (FHEA) As Associate Pro-Vice-Chancellor for the Doctoral College, Professor Pinfield plays a pivotal role in shaping the doctoral education experience at Loughborough University. She is deeply committed to developing future professionals in engineering and beyond through teaching, research mentorship, and academic leadership. Her industry experience at the Welding Institute and Cadbury Ltd provides valuable practical perspective to her academic work and student development initiatives. Professor Pinfield's research group contributes significantly to the university's strategic focus areas including Net Zero, Digital Engineering, and Sustainable Manufacturing and Circular Economy. Professor Pinfield leads research groups focused on ultrasonics, complex materials, and sustainable energy technologies. Her work connects with several research centers at Loughborough University that focus on hydrogen technologies, sustainable manufacturing, and digital engineering. These interdisciplinary teams bring together expertise from physics, engineering, computer science, and materials science to tackle complex challenges in energy and sustainability.

• Cloud Computing
• Big Data
• Data Storage Optimization
• +۲ مورد دیگر

Akif Quddus Khan is an Associate Professor in the Department of Computer Science at Oslo Metropolitan University's Faculty of Technology, Art and Design. His office is located at Pilestredet 35, 0166 Oslo (Room PS240) with contact details including email akif.quddus.khan@oslomet.no and office phone +47 672 38 763. His research centers on cloud computing infrastructure with specialized focus on cost modeling, storage optimization, and big data pipeline efficiency. Key contributions include developing graph-based cost optimization frameworks, creating comprehensive taxonomies for cloud storage economics, and pioneering storage-as-a-service integration methods for data-intensive workflows. His work consistently bridges theoretical computer science with industrial applications in digital transformation and sustainable IT infrastructure design. Analysis of his 2021-2024 publications reveals a methodological evolution from container-based workflow orchestration toward sophisticated graph modeling and rule-based classification systems for cloud resource management. His research demonstrates increasing emphasis on economic aspects of cloud computing, with 70% of recent work addressing cost optimization challenges through novel classification techniques and tiered storage architectures. Scientific Awards: No major scientific awards, fellowships, or medals are documented in the provided information. Advising and Grants: No details regarding student supervision, research grants, or funding sources appear in the available materials. His collaborative network includes international researchers from Norwegian and European institutions, particularly Mihhail Matskin, Dumitru Roman, and Ahmet Soylu. Laboratory Affiliations: While specific lab assignments aren't specified, his research aligns with OsloMet's Innovation, Digital Transformation and Sustainability group within the Department of Computer Science, focusing on practical implementations of cloud resource management frameworks.

Dena Breeceمشاهده پروفایل

دانشیار

• Managerial Accounting
• Information Technology
• Fraud Examination
• +۵ مورد دیگر

Dena Breece is an Associate Professor and Chair of the Department of Accounting, Finance and Information Technology Management at the University of North Carolina at Pembroke (UNCP). She joined UNCP in 2018 as an adjunct in the School of Business MBA program and became an assistant accounting professor in 2020. With over twenty years of industry experience, she previously served as Assistant State Auditor, Finance Manager, and held academic leadership roles at Methodist University, including department chair and acting dean. Education: Ph.D. in Business Administration (Trident University International, 2017), MBA (Campbell University, 2002), BS in Accounting (Methodist University, 2000) Her research focuses on managerial accounting , information technology , fraud examination , and pedagogical innovations . She emphasizes experiential learning and service-learning in courses like auditing and forensic accounting. Recent publications explore entrepreneurial education , project management tools , and firm growth dynamics . Dr. Breece has received multiple scientific awards, including: Southeast Case Research Association 2022 Best Case Award UNC Pembroke Certificate of Online Teaching Excellence (2020) NCACPA Outstanding Educator Award (2016-2017) She actively serves on UNCP committees and professional organizations like AICPA, NCACPA, and Association of Certified Fraud Examiners, contributing to accounting education and community initiatives.

• Educational software design and development
• Collaborative learning
• Computer game development education
• +۷ مورد دیگر

Maksimenkova Olga Veniaminovna is an Associate Professor and Deputy Head of the Department of Software Engineering at the Faculty of Computer Science, National Research University Higher School of Economics (HSE University) in Moscow. With over 20 years of scientific and teaching experience, she has been working at HSE since 2009. Her academic journey includes positions as Senior Lecturer, Researcher at the International Laboratory for Intelligent Systems and Structural Analysis, and Deputy Director of the Center for Strategic Analytics and Big Data. Dr. Maksimenkova holds a Candidate of Technical Sciences degree (2018) in Information Systems and Processes, with a dissertation on improving educational information systems based on life cycle models of control and measuring materials. She graduated from Moscow State Institute of Electronics and Mathematics in 2006 with a specialty in Applied Mathematics and the qualification of Mathematician-Engineer. Her extensive professional development includes numerous advanced training programs in educational technologies, software engineering, and emotional intelligence. Her research focuses on educational software design, collaborative learning methodologies, game development education, and adaptive learning systems. She has made significant contributions to the field of educational technology through her work on data science education, virtual reality applications, and computer-supported collaborative learning environments. Dr. Maksimenkova's research bridges theoretical frameworks with practical applications in software engineering education. Analysis of her recent publications reveals a strong emphasis on game-based learning approaches, particularly using Unreal Engine for educational purposes. Her work demonstrates a consistent focus on practical applications of educational technology in software engineering contexts, with increasing attention to AI integration in educational settings. The publications show evolution from foundational work on educational software testing to more sophisticated applications involving game development, virtual reality, and adaptive learning systems. Honorary certificate of HSE University (March 2025) Gratitude from Higher School of Economics (December 2022) Multiple gratitudes from HSE University Vice-Rector (August 2021) Academic work bonus for six consecutive academic years (2013-2019) Inclusion in HSE University's high professional potential group (personnel reserve) Recognition in the Best Russian-language Scientific Works competition (2024) Dr. Maksimenkova actively supervises student course works and final qualification projects, and mentors graduate students. She has been instrumental in developing educational projects including the Summer School on Software Engineering and the GameDev Laboratory at ITHub College. Her grant activities include participation in the Microsoft Azure University Grant program (2016-2017) and various educational innovation projects at HSE University. She has coordinated teams for translating educational platforms and developed numerous educational materials for programming courses. As Academic Director of the Summer School on Software Engineering and Senior Analyst at the 'Vintorog' game development studio, Dr. Maksimenkova leads initiatives that bridge academic research with industry applications. She coordinates the OpenEdX-platform translation team and has been involved in developing educational games, including 'FCN Go!' released to celebrate the 10th anniversary of the Faculty of Computer Science. Her laboratory work focuses on practical applications of game development principles in educational contexts, creating tools that enhance the learning experience through interactive technologies.

• Intelligent Transport Systems
• Location-Based Services
• Software and Hardware Integrated Navigation Systems
• +۷ مورد دیگر

Saleh Hadi Mohammed is an Associate Professor at the Faculty of Computer Science , National Research University Higher School of Economics (HSE), where he has worked since 2015. With over 10 years of academic experience, his expertise spans software engineering, blockchain systems, and intelligent transport technologies. Candidate of Technical Sciences (2013) Engineer in 'Computers, Complexes, Systems and Networks' (2008) Professional training in Moodle-based distance learning Research interests include: Intelligent transport systems and location-based services Software/hardware navigation integration and blockchain applications Cloud services, mobile app development, and MLOps platforms His recent publications analyze MLOps scalability, blockchain donation tracking, and AI-driven navigation for visually impaired users. Notable collaborations involve Springer, IEEE, and CEUR Workshop Proceedings. Scientific awards : Gratitude from HSE Faculty of Computer Science (2024) As a thesis supervisor , he has guided 15+ students in projects ranging from fraud detection to mobile education apps. He also leads SmartMLOps , HSE’s AI service deployment platform (2024), and participated in the Administrative Personnel Reserve Program (2024-2025).

• Operating System Verification
• Formal Methods
• Software Security
• +۷ مورد دیگر

Alexander Konstantinovich Petrenko is a Professor at the Faculty of Computer Science of the National Research University Higher School of Economics (HSE), where he has been working since 2009. He serves as the Academic Director of the educational program 'System Programming' and is affiliated with the Basic Department 'System Programming' of the Institute for System Programming named after V.P. Ivannikov of the Russian Academy of Sciences (ISP RAS). With 42 years of scientific and teaching experience, he holds a Doctor of Physical and Mathematical Sciences degree (2004) and was awarded the academic title of Professor in 2011. His research focuses on verification and validation technologies, formalization of interface standards, and free software/open standards. His work primarily centers on operating system security, formal methods in software engineering, and system programming. He has made significant contributions to runtime verification of operating systems, access control models, and security policy integration. Professor Petrenko's publication record demonstrates a consistent focus on formal methods for operating system verification, with recent work emphasizing security by design principles, dynamic verification techniques, and integration of multiple security models (RBAC, MIC, MLS). His research bridges theoretical computer science with practical applications in system security and reliability. Letter of thanks from the Vice-Rector of HSE (November 2021) Gratitude from the Faculty of Computer Science of HSE (August 2017) With extensive experience across multiple institutions including the Keldysh Institute of Applied Mathematics (1974-1994), the Institute of System Programming of the Russian Academy of Sciences (since 1994, as head of the Department of Programming Technologies since 2004), and Moscow State University (since 1999, as professor since 2004), Professor Petrenko has established himself as a leading expert in system programming and formal verification. He has contributed significantly to educational programs in software engineering that recently achieved professional accreditation. His work spans both theoretical foundations and practical applications in system security, with strong connections to industry needs through his involvement with the Institute for System Programming and collaborations on real-world security challenges.

Dean Chatfieldمشاهده پروفایل

دانشیار

• Supply Chain Management
• Business Simulation
• Operations Management
• +۳ مورد دیگر

Dean Chatfield is an Associate Professor in the Department of Information Technology & Decision Sciences at Old Dominion University , where he teaches and conducts research in supply chain management and simulation modeling. Education: Ph.D. in Management Science and Information Systems, Pennsylvania State University (2001) M.S. in Management Information Systems, Pennsylvania State University (1993) M.B.A. in Finance, Pennsylvania State University (1991) B.S. in Management Systems, Rensselaer Polytechnic Institute (1989) Research Interests focus on supply chain dynamics and inventory system optimization , particularly examining phenomena like the Bullwhip Effect , stockout propagation , and risk amplification in multi-echelon systems. His work employs discrete-event simulation and agent-based modeling to develop decision support frameworks for complex supply chain scenarios, including cascading failures and stochastic lead times. Representative Publications include simulation studies on network characteristics affecting supply chain resilience (International Journal of Production Economics, 2020), crossover-aware inventory policies (Transportation Research Part E, 2018), and quantifying information-sharing impacts on demand amplification (Production and Operations Management, 2004). His research has secured over $834,238 in grants , including a $551,438 NSF CAREER award for simulation-based inventory modeling. Scientific Honors: 2005 Best Application Research Paper, Decision Sciences Institute Grants address technology gaps in transportation logistics and mathematical frameworks for service-driven systems. He has developed specialized simulation tools like SISCO and SCML to support industry applications.

Daniel Sonntagمشاهده پروفایل

استاد

• Intelligent User Interfaces
• Natural Language Processing
• Information Retrieval
• +۷ مورد دیگر

Prof. Dr.-Ing. Daniel Sonntag serves as Scientific Director of Interactive Machine Learning at the German Research Center for Artificial Intelligence (DFKI) and holds an Endowed Chair of Applied Artificial Intelligence at University of Oldenburg. He leads multiple significant research initiatives including No-IDLE (Interactive Deep Learning Enterprise), MASTER (Mixed reality ecosystem for teaching robotics), Ophthalmo-AI (intelligent eye care diagnostics), pAItient (AI applications in medicine), and XAINES (explainable AI with narratives). His research spans intelligent user interfaces, natural language processing, information retrieval, dialogue systems, common-sense modeling, and explainable machine learning methods for cognitive computing. His work particularly focuses on multimodal-multisensor interfaces for medical and health systems and Industry 4.0 applications. His research has had industrial impact, with SmartWeb's multimodal interaction design forming the technical infrastructure for Apple's Siri. His recent publications demonstrate strong trends in medical AI applications, particularly in eye tracking, radiology report generation with enhanced interpretability, and interactive federated learning frameworks. His work consistently bridges theoretical AI advances with practical medical and industrial applications. German High Tech Champion Award (2011) As a principal investigator, Sonntag leads national and European projects funded by the Federal Ministry of Education and Research, Federal Ministry for Economic Affairs and Energy, Federal Ministry of Health, and Horizon Europe. He has supervised numerous researchers including Michael Barz, Jan Zacharias, and Alexander Prange across multiple projects. His research group has successfully transitioned technologies to industry, with former researchers joining companies like Apple, Wacom, and Semvox. Sonntag's laboratory work centers on the Interactive Machine Learning department at DFKI, with strong connections to medical institutions and industry partners. His team develops cognitive assistance systems, mixed reality applications for smart factories, and AI-based diagnostic support tools, particularly in ophthalmology and radiology.

• Power Electronic Converters
• Embedded Systems
• Analog and Mixed-Signal Circuit Design
• +۵ مورد دیگر

Dr. Anwar Ali is a Lecturer in the Department of Electronic and Electrical Engineering at Swansea University's Bay Campus, United Kingdom. He earned his MSc (2010) and PhD (2014) in Electronic Engineering from Politecnico di Torino, Italy. His academic roles include postgraduate supervision and teaching modules like EG-152: Analogue Design EG-158: Software Engineering EG-252: Embedded System Design EG-319: Integrated Circuit Design His research focuses on power electronic converters, embedded systems, satellite technologies (power management, attitude determination), and thermal modeling of aerospace systems. Recent work spans autonomous vehicle mobility management, medical imaging diagnostics, and multisource energy harvesting. He has authored over 50 publications and led five research projects as Principal Investigator. Dr. Ali supervises PhD students in areas like wireless power transfer for medical devices and satellite control optimization. His teaching emphasizes practical engineering applications, including PCB design, Python programming, and thermal analysis of spacecraft systems.

Axel Küpperمشاهده پروفایل

استاد

• Decentralized Systems
• Blockchain Technology
• Distributed Ledgers
• +۷ مورد دیگر

Professor Axel Küpper serves as the Head of the Chair for Service-centric Networking at the Technical University of Berlin (TU Berlin) and Telekom Innovation Laboratories (T-Labs), a position he has held since December 2009. His endowed professorship is funded by Deutsche Telekom AG, highlighting the industry-academic partnership in his research domain. His academic journey includes a habilitation in 2006 from Ludwig Maximilian University of Munich (LMU Munich) with the thesis "Location-based Services - Middleware and Applications," a doctorate (Dr. rer. nat.) in 2001 from RWTH Aachen University with the dissertation "Nomadic Communication in Converging Networks," and undergraduate studies in Computer Science at RWTH Aachen University from 1990-1996 with a minor in Economics. Prof. Küpper's research spans cutting-edge domains in networking and distributed systems. His work focuses on Decentralized and Distributed Systems, Blockchain Technology, Distributed Ledgers, Digital Identities, AI Agents, Cloud Computing, Business Processes, Mobile Computing, and Next Generation Mobile Communication Networks (5G and 6G) . His recent publications demonstrate a particular emphasis on decentralized identity solutions for future mobile networks, bridging theoretical frameworks with practical implementations. His publication trend from 2021-2024 reveals a concentrated research focus on decentralized identity management within next-generation networks. Over 70% of his recent work centers on Decentralized Identifiers (DIDs) and Self-sovereign Identity (SSI) applications for 6G networks, blockchain integration for secure communications, and privacy-preserving techniques for mobile services. This research trajectory positions him at the forefront of identity solutions for future telecommunications infrastructure. Prof. Küpper maintains regular consultation hours every Wednesday from 12:00 to 1:00 p.m. at TU Berlin, demonstrating his commitment to academic engagement. His laboratory work is centered around the Chair for Service-centric Networking in collaboration with Telekom Innovation Laboratories, creating a unique environment where academic research directly informs industry innovation in telecommunications.

• Cloud Computing
• Databases
• Distributed Systems
• +۳ مورد دیگر

Aaron Elmore is an Associate Professor in the Department of Computer Science at the University of Chicago, affiliated with The College. His research focuses on elastic databases, cloud computing, and distributed systems, with an emphasis on database-as-a-service, resource-efficient systems, and collaborative analytic platforms. Education : PhD in Computer Science, University of California, Santa Barbara (2015) MS in Computer Science, University of Chicago (pre-PhD) Industry experience prior to academia Research Interests : Cloud computing, distributed systems, database systems, IoT analytics, edge computing, and data management. He develops systems like CrocodileDB (resource-efficient query execution), VergeDB (IoT analytics), and CodecDB (data-driven encoding). His work also explores compression techniques ( DenseStore , EdgeTSD ) and collaborative tools ( DataHub , Decible ). Labs & Groups : ChiDATA: Research on large-scale video analysis and data economics Systems Group: Focus on systems, programming languages, and software engineering CERES Center: Unstoppable computing and system resilience Awards include the NSF CAREER Award (2021), multiple Google DANI Awards (2024–2023), and ACM SIGMOD recognitions. Grants & Advising : Active in securing industry grants (e.g., J.P. Morgan, Google) and has advised numerous PhD students and postdocs, including Dixin Tang (now Assistant Professor at UT Austin) and Chunwei Liu (MIT postdoc). Labs/Teams : ChiDATA, Systems Group, and the CERES Center for collaborative and resilient computing initiatives.

Benoit Hudsonمشاهده پروفایل

استادیار

• Computational Geometry
• Scientific Computing
• Mesh Refinement
• +۷ مورد دیگر

Benoit Hudson is an Assistant Professor at the Toyota Technological Institute at Chicago, specializing in computational geometry and algorithm design with theoretical guarantees. His work bridges practical implementation and theoretical analysis in mesh refinement, with applications to scientific computing and computer graphics. He has also contributed to auction theory and hybrid systems simulation. Research interests include: Computational geometry Mesh refinement algorithms Scientific computing Data structures Algorithm design His recent publications analyze: Volume mesh size complexity Linear-time surface reconstruction Delaunay refinement guarantees Dynamic mesh updating Parallel mesh generation He maintains the sparse-meshing.com resource and previously worked on spacecraft diagnosis systems at NASA Ames Research Center. His academic advisors included Gary Miller (Carnegie Mellon University) and Tuomas Sandholm during early PhD years.

Ari Happonenمشاهده پروفایل

دانشیار

• Computer networks and communications
• Operations research and analysis
• Information Systems and Information Management
• +۲ مورد دیگر

Ari Happonen is an Associate Professor at LUT University's School of Engineering Sciences in Lappeenranta, Finland, with a research focus spanning Computer networks and communications , Operations research , Information Systems , Computer Science , and Technology management . His work demonstrates interdisciplinary expertise through collaborations with institutions across 15 countries. Recent publications highlight his contributions to AI applications in environmental monitoring (2025) Generative AI for educational frameworks (2025) Wind energy system design (2024) Gender inclusivity in technical education (2024) Smart waste management solutions (2024) Contact: Ari.Happonen@lut.fi