جست‌وجوی استاد و پژوهشگر

• Operations Research
• Optimization
• Logistics
• +۵ مورد دیگر

Reinhard Bürgy is a Part-Time Lecturer at the Department of Computer Science, Lucerne School of Computer Science and Information Technology, Hochschule Luzern (Lucerne University of Applied Sciences and Arts), Switzerland. He concurrently serves as a Solution Architect for Decision Support & Operations Research at Polypoint AG. His academic background includes roles as Senior Assistant and Postdoctoral Researcher at the University of Freiburg and Polytechnique Montréal. Education: PhD in Economics (Operations Research focus) from University of Freiburg (2014), Master in Business Informatics from University of Freiburg (2009). Research focuses on quantitative decision support systems for industry and services, exact/heuristic optimization methods, combinatorial optimization, integer programming, algorithms & data structures, and operations/service management. Key application areas include production planning, sustainable logistics systems, and workforce scheduling in retail and healthcare. His publications emphasize scheduling optimization (job shop, employee scheduling), logistics network design, and infrastructure resilience. Notable work includes convex cost job shop scheduling and decomposition heuristics for large-scale employee scheduling problems. Advising and grants: No specific students or grants mentioned. Active in industry-academia collaboration through Polypoint AG and prior academic roles.

• Software Engineering
• Data Management
• Interoperability Systems
• +۳ مورد دیگر

Dr. Roland Koppe is Head of Software Engineering at the Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research (AWI), leading the Architecture and Portal Solutions team within the 'From Observations to Archives and Analysis (O2A)' group. His work focuses on software engineering, interoperability of heterogeneous systems, and data modeling to enable seamless data flow from sensor observations to archival and publication systems. He is a key contributor to initiatives such as the Data Portal German Marine Research, the O2A framework, and the CRITTERBASE biodiversity data warehouse. Research Interests: Software Engineering methodologies for scientific data systems, engineering management of large-scale projects, interoperability standards for marine and climate data, and FAIR data principles implementation in collaborative frameworks. His work addresses challenges in managing heterogeneous sensors, automating quality control, and integrating data across marine, polar, and climate research domains. Developed the O2A framework to streamline sensor data workflows Core contributor to the Data Portal German Marine Research Architect of CRITTERBASE for polar marine biodiversity data Lead software engineering for MOSAiC Arctic expedition data management Contributed to Digital Earth initiatives and MOSES flood modeling projects Publications focus on sensor data management systems, FAIR implementation, and interdisciplinary data integration challenges in polar and marine research. His work emphasizes scalable solutions for heterogeneous data sources and collaborative scientific workflows.

Christos Kozyrakisمشاهده پروفایل

استاد

• Computer Architecture
• Computer Systems
• Cloud Computing
• +۶ مورد دیگر

Christos Kozyrakis is a Professor in the Departments of Electrical Engineering and Computer Science at Stanford University. His research focuses on computer architecture, computer systems, and cloud computing, with contributions to energy-efficient systems, machine learning infrastructure, and database-oriented operating systems. He leads the MAST research group and directs the Stanford Platform Lab. Education: Bachelor's Degree in Computer Science, University of Crete PhD in Electrical Engineering and Computer Sciences, University of California, Berkeley Research Interests: Kozyrakis explores cloud management, machine learning systems, energy-efficient architectures, and hardware-software co-design. Notable projects include DBOS (a database-oriented OS), the MAST group's work on serverless computing and storage systems, and energy-proportional data center design. Awards: ACM SIGARCH Maurice Wilkes Award ISCA Influential Paper Award NSF Career Award Okawa Foundation Research Grant ACM and IEEE Fellowships Advising & Grants: Supervised over 20 PhD and master's students, with notable alumni contributing to academia and industry. Supported by NSF, DARPA, SRC, Google, Microsoft, and other industry collaborations. Labs & Teams: Leads the MAST research group and directs the Stanford Platform Lab, focusing on cutting-edge systems research and prototyping.

Ken Goldbergمشاهده پروفایل

استاد

• Artificial Intelligence
• Robotics
• Deep Reinforcement Learning
• +۵ مورد دیگر

Ken Goldberg is a Professor of Industrial Engineering and Operations Research at UC Berkeley, with secondary appointments in EECS, Art Practice, and UCSF's Radiation Oncology. He joined UC Berkeley in 1995 and holds a PhD from Carnegie Mellon University (1990) and dual degrees from the University of Pennsylvania (1984). His research spans robotics, automation, and art, focusing on artificial intelligence, medical robotics, and human-robot interaction. He leads the AUTOLab and is a co-founder of the Berkeley Artificial Intelligence Research (BAIR) Lab. Goldberg's art installations, including collaborations with Sundance films, explore the intersection of technology and humanity. He has pioneered cloud robotics, surgical robotics, and collaborative filtering systems. Notable awards include the IEEE Fellow (2005), Joseph Engelberger Robotics Award (2000), and NSF Presidential Faculty Fellow (1995). His work integrates technical innovation with societal impact, emphasizing ethical AI and automation. Educations: PhD in Computer Science, Carnegie Mellon University (1990) BSEE in Electrical Engineering, University of Pennsylvania (1984) BSE in Economics, UPenn Wharton (1984) Research Interests: Goldberg's work bridges robotics, AI, and art. Key areas include cloud robotics (FogROS2), surgical robotics (Cal-MR), AI ethics, and interactive systems. His research in dexterous manipulation and grasp planning (Dex-Net) has advanced robotic capabilities in manufacturing and healthcare. Publications: Over 300 papers, including influential works on grasp planning, robotic learning, and collaborative filtering. Recent focus on AI in robotics, surgical assistance, and ethical automation. Awards: IEEE Fellow (2005) Joseph Engelberger Robotics Award (2000) NSF Presidential Faculty Fellow (1995) Advising and Grants: Supervised numerous students in robotics, automation, and AI. Active in funding initiatives like the National Robotics Initiative and NSF grants. Labs/Teams: Leads AUTOLab and co-founded the Berkeley Center for New Media (BCNM). Collaborates with industry partners like Ambi Robotics and Jacobi Robotics.

Marco Salviatoمشاهده پروفایل

استاد

• Mechanics of Solids
• Fracture Mechanics
• Composite Structures
• +۷ مورد دیگر

Marco Salviato is a Professor in the Department of Aeronautics & Astronautics at the University of Washington and Adjunct Professor in Materials Science & Engineering. He serves as Director of both the UW Advanced Composites Center (ACC) and the FAA Advanced Materials for Transport Aircraft Structures (AMTAS) center of excellence. Ph.D., Mechanical Engineering, University of Padova (2013) M.Sc., Mechanical Engineering, University of Padova (2009) B.Sc., Mechanical Engineering, University of Padova (2007) Prof. Salviato specializes in multiscale analysis of materials and structures, focusing on thermoplastic composites for aerospace applications. His work aims to develop lighter, more damage-tolerant aircraft structures through advanced computational models and experimental techniques. He actively collaborates with industry partners via the NSF IUCRC grant and leads research on automated manufacturing processes, including robotic testing and machine learning for defect detection. His research on thermoplastic composites, hailed as a "marvel material", emphasizes recyclability, durability, and fuel efficiency. The Spokane-based American Aerospace Materials Manufacturing Center, funded by a $48M CHIPS Act grant, complements his lab's work in Seattle, where he explores 3D printing integration and FAA certification processes. ASME Haythornthwaite Young Investigator Award (2017) ASC-DSTech Young Composites Researcher Award (2020) National Academy of Engineering U.S. Frontiers of Engineering Symposium Attendee (2021) Prof. Salviato has secured major grants for aerospace innovation, including the CHIPS Act funding for the Spokane facility. He mentors students in courses like AA540 Finite Element Method I and AA531 Quasibrittle Fracture and Scaling, while directing cutting-edge labs such as the Multiscale Analysis of Materials & Structures (MAMS) Lab and the ACC warehouse in Magnuson Park.

Jacek Borońمشاهده پروفایل

پژوهشگر

• Structural Optimization
• Multidisciplinary Optimization
• Civil Engineering
• +۷ مورد دیگر

Jacek Boroń, PhD, is a researcher at the Department of Building Engineering within the Faculty of Civil Engineering at Wrocław University of Science and Technology. His work bridges theoretical and applied aspects of structural and multidisciplinary optimization in civil engineering. His research interests include structural optimization , building envelope protection against mold growth , mathematical programming in construction management , and induced seismicity in mining areas . He applies optimization techniques to industrial construction problems such as stacks, cooling towers, and machine foundations. The recent publications reflect a strong focus on engineering optimization , thermal performance of buildings , and modernization of civil engineering education . His work often combines computational methods with practical applications in construction and mining environments. Scientific Awards: No awards listed in the provided text. Advising and Grants: No information available on students or grants. However, he has collaborated with researchers such as Paweł Bartyla, Maciej Minch, and Aleksander Trochanowski on various projects related to optimization and building technology. Labs and Teams: Affiliated with the Department of Building Engineering, Faculty of Civil Engineering. Specific lab or research team names are not mentioned, but his work suggests involvement in structural optimization and building physics research groups.

Tanja McKayمشاهده پروفایل

استاد

• Integrated Pest Management
• Medical Entomology
• Vector Biology
• +۴ مورد دیگر

Tanja McKay is Professor of Entomology and Department Chair of Biological Sciences within the College of Agriculture at Arkansas State University. Her work bridges agricultural and medical entomology, focusing on practical pest management solutions for food security and public health through innovative research and academic leadership. Her educational background includes: B.S. in Biology, Acadia University (1995) M.S. in Entomology, University of Manitoba (1998) Ph.D. in Entomology, Kansas State University (2002) Dr. McKay's research integrates integrated pest management for stored rice systems, vector biology for canine heartworm transmission, biodiversity studies of Arkansas dung beetles, and biological control of muscid flies. Her methodologies combine field ecology, computational modeling, and novel physical treatments to develop sustainable pest control strategies that address real-world agricultural and veterinary challenges. Analysis of her recent publications reveals a strong emphasis on technological innovation in pest management, including long-lasting insecticide netting, computational fluid dynamics for fumigation, and infrared/microwave treatments for grain protection. These studies predominantly advance stored product entomology and medical entomology, reflecting dual commitments to food safety and zoonotic disease prevention. No specific scientific awards were documented in the provided materials, though her sustained publication record indicates professional recognition within entomological communities. Dr. McKay teaches undergraduate and graduate courses including General Entomology, Insect Taxonomy, and Medical/Veterinary Entomology. She leads the McKay Lab, which conducts collaborative research with agricultural stakeholders. While grant details are unspecified, her continuous publication output suggests consistent research funding supporting her lab's mission. The McKay Lab (accessible via mckaylab.wixsite.com) serves as a hub for applied entomological research, focusing on stored product pests, vector mosquitoes, and dung beetle ecology through field studies and industry partnerships across Arkansas.

Achim Kobersteinمشاهده پروفایل

استاد

• Design of decision support systems
• Modelling and optimization of deterministic and stochastic planning problems
• Applications in operations and supply chain management

Achim Koberstein is a Professor of Business Administration with a focus on Business Informatics and Operations Research at the Faculty of Economics and Business Administration (Wiwi) , European University Viadrina Frankfurt (Oder). His academic career spans multiple institutions, including Goethe-University Frankfurt and the University of Hamburg. Education: Doctorate in Business Informatics (Dr. rer. pol.) at the University of Paderborn (2005) Diploma in Computer Science (Minor: Business Administration) at the University of Paderborn (2002) His research centers on decision support systems , stochastic and deterministic optimization models , and applications in supply chain and automotive production planning . Recent work explores drug shortages, drone logistics, and hybrid electric vehicle routing. His publications highlight a focus on stochastic programming , MILP modeling , and real-world logistics challenges across healthcare, automotive, and maritime domains. Current affiliations include leadership roles in the Faculty of Economics and Business Administration's Dean's team. Contact: Email: koberstein@europa-uni.de Office: Main Building (HG) 043, Große Scharrnstraße 59, 15230 Frankfurt (Oder)

Slobodan Kalajdzhiskiمشاهده پروفایل

استاد

• Bioinformatics
• Systems Biology
• Knowledge Discovery in Data
• +۴ مورد دیگر

Slobodan Kalajdzhiski Ph.D. , born in 1976 in Ohrid, is a full-time Professor at the Faculty of Computer Science and Engineering (FINKI) , Ss. Cyril and Methodius University in Skopje, North Macedonia. He coordinates three master-level study programmes: Content-Based Retrieval , Intelligent Information Systems , and Bioinformatics , and is actively involved in teaching and curriculum development. Education: B.Sc. Electrical Engineering – Skopje, 2000 M.Sc. Electrical Engineering – Skopje, 2004 Ph.D. Electrical Engineering & Information Technologies – Skopje, 2008 Research Interests: His research portfolio centres on bioinformatics and systems biology , leveraging data mining and knowledge discovery techniques to analyse complex biological data. He has designed and optimised data-warehouse architectures and developed methodologies for object-oriented analysis and design of large-scale information systems. These interests are tightly coupled with the advanced database courses he delivers at both undergraduate and postgraduate levels. Research Activity & Grants: Over his career he has participated in eight funded research projects and authored more than thirty peer-reviewed papers in international and domestic journals and conferences. While specific article titles are not listed in the supplied text, the thematic focus of these publications aligns with his declared fields of interest, evidencing a sustained contribution to computational biology and data-driven system design. Teaching & Advising: Beyond his professorial duties, he has previously served as demonstrator, junior assistant, and assistant professor, progressively shaping the curriculum in programming languages, object-oriented systems, databases, and information-system design. He currently mentors master students within the specialised programmes he coordinates.

Goran Velinovمشاهده پروفایل

استادیار

• Data warehousing
• Multidimensional data modeling
• Business intelligence
• +۱ مورد دیگر

Goran Velinov is Assistant Professor at the Faculty of Computer Science and Engineering, University Ss. Cyril and Methodius, Skopje, Macedonia. He has been with the faculty since 2009, teaching Advanced Data Bases and conducting research in data warehousing and business intelligence. Education: Ph.D. in Computer Science, University Ss. Cyril and Methodius, 2008 – Thesis: "Generalization and Improvement of Relational Data Warehouse Optimization Processes" Research Interests: Goran Velinov’s work focuses on the design and implementation of data warehouses, multidimensional data modeling, and business intelligence systems. His research aims at improving optimization processes within large-scale relational data warehouses, contributing to more efficient data analytics and decision support systems. Projects & Grants: He has participated in multiple international initiatives, including: ELISA – INTERREG IIIB CADSES (2006–2008) SEE-GRID – 6FP IST project (2004–2006) SEE-GRID2 – 7FP IST project (2006–2008) Teaching & Office Hours: Professor Velinov holds weekly office hours on Tuesdays 10:00–12:00 and Thursdays 10:00–12:00 in classroom M3, providing guidance to students and collaborators on advanced database topics.

Patrick van Heesمشاهده پروفایل

استاد

• Fire Safety Engineering
• Fire Behaviour of Materials
• Fire Modelling
• +۳ مورد دیگر

Patrick van Hees serves as Professor and Head of the Department of Building and Environmental Technology at Lund University's Faculty of Engineering (LTH). He actively contributes to LTH Profile Areas including Aerosols, Circular Building Sector, and The Energy Transition, with an ORCID ID 0000-0002-7405-607X. His research specializes in fire safety engineering, focusing on: Fire behaviour of construction materials Performance-based fire engineering methodologies Computational fire modeling and development Sustainable fire retardant systems for wood structures Fire emissions in built environments Key research fingerprints include Fire Safety Engineering (71% prominence), Cone Calorimeter applications (74%), Heat Release Rate analysis (60%), and Ignition dynamics (55%). His publication trends show increasing focus on oxygen reduction systems (2024), fire emissions scaling (2023), and radiation shielding material safety (2025), demonstrating consistent contributions to fire dynamics modeling and sustainable building safety standards. Professor van Hees serves on editorial boards for leading journals: Fire Safety Journal (2014–present) Fire Science Reviews (2012–present) Fire Technology (2010–2020) He delivered the invited talk 'The Urgent Need for System Thinking in Fire Safety' (2016) and manages the Civil Engineering Laboratory infrastructure. His supervised work includes doctoral projects on sustained flame conditions and residential fire prevention, with active leadership in the MSB-funded project 'Fire Emissions from New and Existing Materials' (2022–2027) addressing workplace environmental challenges.

Gang Meiمشاهده پروفایل

دانشیار

• Numerical Simulation and Computational Modeling
• GPU Computing
• Machine Learning
• +۵ مورد دیگر

Dr. Gang Mei is an Associate Professor in Scientific Computing within the School of Engineering and Technology at China University of Geosciences (Beijing), where he has held academic positions since 2014. His career progression includes Postdoctoral Researcher (2014-2016), Lecturer (Oct-Dec 2016), and current Associate Professor (since Jan 2017). His research bridges computational science and engineering applications with significant editorial contributions to computer science literature. Education: Ph.D. in Computer Science, University of Freiburg, Germany (2014) Research Interests: Dr. Mei specializes in Numerical Simulation and Computational Modeling, GPU Computing, Machine Learning, and Data Mining, with strong applications in Network Science and Spatial Information Systems. His work integrates Distributed and Parallel Computing techniques for large-scale scientific simulations, particularly in geospatial modeling and network analysis. The research demonstrates consistent focus on computational efficiency through hardware acceleration and algorithmic optimization across diverse domains including satellite imagery processing, financial event detection, and medical image classification. Publication Trends: His editorial portfolio reveals strong interdisciplinary patterns connecting computer science fundamentals with domain-specific applications. Recent works emphasize GPU-accelerated methods for data-intensive problems (2020-2022), spatial-temporal modeling (2019-2020), and network science applications (2021). The publications consistently address computational scalability challenges while maintaining practical relevance across geospatial, financial, medical, and engineering contexts. Professional Recognition: As an IEEE Member, Dr. Mei serves on editorial boards for IEEE Access and PeerJ Computer Science, reflecting peer recognition in computational fields. His editorial contributions span 15+ publications demonstrating expertise in evaluating cutting-edge computer science research. Academic Service: Beyond editorial work, Dr. Mei's service includes advising on computational methodology across multiple disciplines. His role as Academic Editor demonstrates commitment to scholarly communication, particularly in bridging theoretical computer science with practical engineering applications. No grant funding details were specified in available materials.

• Indoor Positioning
• Mobile Computing
• Context-Aware Computing
• +۴ مورد دیگر

Adriano Jorge Cardoso Moreira is an Associate Professor with Habilitation at the Department of Information Systems, School of Engineering, University of Minho, Portugal. He holds multiple leadership roles including Scientific Coordinator of Urban Computing at Centro de Computação Gráfica and Director of the MAP-tele PhD Program. His research is conducted primarily through the Urban Computing Lab , focusing on smart place technologies. Education: PhD in Electrical Engineering (1997) and Bachelor's in Electronic and Telecommunications Engineering (1989), both from University of Aveiro, Portugal. Research Focus: His work spans indoor positioning, mobile/context-aware systems, urban computing, and wireless network simulation. Key innovations include fingerprinting algorithms for localization, multi-sensor fusion techniques, and human mobility analysis. Research outputs consistently address real-world industrial challenges such as warehouse management, factory automation, and urban infrastructure. Research Output Trends: Recent publications (2021-2023) emphasize practical applications of Wi-Fi/LoRaWAN fingerprinting, machine learning for sensor calibration, and industrial vehicle tracking. Over 70% of recent works involve experimental validation in real environments, reflecting a strong applied research focus. Key thematic clusters include radio map optimization, multi-sensor datasets, and scalability of positioning systems. Awards & Recognition: First Prize, EvAAL-ETRI Indoor Localization Competition (Off-site track, 2015 & 2017) Second Prize, EvAAL-ETRI Indoor Localization Competition (2016) IEEE Senior Member status Patent in computational geometry Projects & Funding: He leads/participates in numerous EU/national projects including: ORIENTATE (2021-2023): Low-cost indoor positioning for factories Lab4U&Spaces (2021-2023): Urban space solutions AR WARE (2018-2022): AR for warehouse management SAMU (2015-2018): Smart autonomous mobile units Lab & Team: He established/leads the Urban Computing Lab developing technologies for smart environments. Previously headed the Computer Communications and Pervasive Media Group (until 2016). Current team includes PhD/Master students working on wireless positioning and mobility analysis.

Jesus Gonzalez Feliuمشاهده پروفایل

استاد

• Sustainable urban logistics
• Demand modeling and forecasting
• Transport optimization
• +۸ مورد دیگر

Jesus Gonzalez Feliu is a Professor of Supply Chain Management at Excelia Business School in La Rochelle, France. He holds a PhD in Computer and Systems Engineering from the Politecnico di Torino (Italy) and an Habilitation à Diriger des Recherches from the University of Paris Est. His academic journey includes positions as Research Engineer at CNRS, Assistant Professor at Ecole des Mines de Saint-Etienne, and current Professor at Excelia Business School since 2020. Habilitation à diriger des recherches, Université Paris Est, France (2016) Doctorat en Génie informatique et des systèmes, Politecnico di Torino, Italie (2008) Master en Transport et mobilité durable, Politecnico di Torino, Italie (2004) Professor Gonzalez Feliu specializes in sustainable urban logistics, demand modeling and forecasting, transport optimization, sustainable food logistics, humanitarian logistics and resilience, and group decision-making processes. His research often focuses on data production and demand estimation, interactive problem solving, and scenario evaluation in logistics contexts. He has made significant contributions to understanding urban freight systems, particularly in developing sustainable solutions for cities in both developed and developing countries. His extensive publication record includes over 75 peer-reviewed journal articles, 2 monographs, and guest editorship of more than 10 special journal issues. His most recent work demonstrates a continued focus on spatial accessibility in logistics warehouses, urban goods transport demand estimation, and sustainable supply chain solutions, with particular attention to applications in developing countries and humanitarian contexts. Chair of Urban Logistics Lab Scientific Committee, Deakin University, Melbourne (2019-2023) Member, Urban Mobility Observatory, Universidad del Pacifico, Lima (2020-present) Professor Gonzalez Feliu has supervised numerous research projects and collaborations across Europe, Latin America, and Australia. His work bridges theoretical modeling with practical applications, particularly in developing decision support systems for urban logistics planning and management. His international perspective is reflected in his research on logistics systems in diverse contexts, from European cities to developing economies in Latin America.