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Felipe Cerezo AndreoView profile

Associate Professor

• Underwater Archaeology
• Nautical Archaeology
• Geoarchaeology
• +5 more

Felipe Cerezo Andreo is an Associate Professor in Underwater Archaeology at the University of Cádiz , affiliated with the Instituto de Investigación Marina (INMAR) and research groups HUM-440 (UCA) and E041-02 (UM). His work spans nautical archaeology, underwater cultural heritage , and geoarchaeology , with a focus on Mediterranean and Iberian coastal systems. Education : PhD in Archaeology from the University of Murcia (2016), thesis on ancient harbors of Cartagena (Outstanding Cum Laude, International Mention). His research integrates geoarchaeological analysis , GIS mapping , and maritime visibility studies to reconstruct ancient coastal landscapes. Recent publications examine shipwreck contexts (e.g., Arapal, La Ballenera) and digital dissemination tools for heritage preservation. Key grants include the FEDER UCA-18-107327 Herakles Project (€154k), TIDE Interreg Project (€314k), and CREAMARE EU Cooperation Project . He coordinates the Underwater Archaeology Laboratory and Cádiz's Research Vessel Archaeological Management . Scientific Awards : International Mention (University of Murcia) Juan de la Cierva Postdoctoral Fellowship He directs the Official Master's Degree in Nautical and Underwater Archaeology (55% teaching load), supervises 26 Master's theses , and co-directs 2 doctoral theses . Outreach includes UNESCO/ICOMOS collaborations and public workshops on submerged heritage.

Agnes RosnerView profile

Professor

• Visual Attention
• Working Memory
• Long-Term Memory
• +3 more

Professor Agnes Rosner is a leading academic at the Institute of Psychology , Leibniz University Hannover. Her research focuses on the interplay between visual attention and working memory , elaboration strategies , eye movements during verbal memory retrieval , exemplar-based judgment , preference decision-making , and ambiguity in decision processes . 2022: Flexibility Grant (30,000 CHF) from Swiss National Science Foundation 2019: Ambizione Grant (911,146 CHF) for "The mind's eye in episodic memory" 2016: University Prize (1,000 EUR) from Technical University Chemnitz Her recent publications analyze memory retrieval through eye movements, with projects funded by SNSF and DAAD. She leads the "Mind's Eye" research group studying memory-based eye movements in Switzerland (2021-2025) and has held roles as peer mentor and selection committee member for junior researchers.

Omar AbbaasView profile

Assistant Professor

• Smart Manufacturing
• Smart Supply Chain
• Cyber-Physical Systems
• +11 more

Omar Abbaas is an Assistant Professor in the Department of Mechanical Engineering at The University of Texas at San Antonio (UTSA) within the Klesse College of Engineering and Integrated Design. His academic background includes a dual-title Ph.D. in Industrial Engineering and Operations Research, an M.S. in Industrial Engineering, and a B.S. in Industrial Engineering from Jordan University of Science and Technology. Ph.D., The Pennsylvania State University (Industrial Engineering & Operations Research) M.S., The Pennsylvania State University (Industrial Engineering) M.S., SUNY Binghamton (Industrial & Systems Engineering) B.S., Jordan University of Science and Technology (Industrial Engineering) Dr. Abbaas specializes in smart manufacturing, cyber-physical systems, and supply chain optimization. His research integrates agent-based modeling, network optimization, and combinatorial auction techniques to address complex logistical and operational challenges in modern industrial systems. The recent publications highlight his work in electric vehicle charging infrastructure, supplier selection, and multi-agent scheduling systems. These articles reflect a consistent focus on optimization algorithms, auction mechanisms, and smart logistics solutions across transportation, supply chain, and manufacturing domains. His industry experience includes roles as a Black Belt process improvement leader in logistics, business analyst at an engineering consulting firm, and sheet metal design engineer in manufacturing. These practical engagements inform his academic research in network optimization, alternative fuel distribution, and quality assurance frameworks.

• Structural Engineering
• Bridge Engineering
• Steel Structures
• +5 more

Dr. Kollár Dénes serves as an Assistant Professor at the Department of Bridges and Structures within the Faculty of Civil Engineering at Budapest University of Technology and Economics (BME). His academic position focuses on structural engineering with specialization in bridge systems, steel structures, and advanced structural analysis methodologies. The department forms part of BME's historic engineering faculty, which has been central to Hungary's infrastructure development since 1782. His research portfolio demonstrates deep expertise in multiple critical domains of structural engineering: Bridge Engineering: Extensive work on the Széchenyi Chain Bridge rehabilitation, including corrosion assessment, risk analysis, and structural health monitoring of historical bridges Steel Structures: Investigation of residual stresses, distortions, and stability in welded connections, box sections, and corrugated web girders Advanced Monitoring: Development of deep learning-based systems for bridge weigh-in-motion and structural health assessment Corrosion & Failure Analysis: Probabilistic modeling of corrosion effects on steel components and structural reliability Welding Technology: Numerical simulation of welding processes and their impact on structural integrity Analysis of his 15 most recent publications (2022-2025) reveals a concentrated research trajectory centered on the Széchenyi Chain Bridge in Budapest, with 7 studies directly addressing its structural rehabilitation. Key methodological approaches integrate experimental measurements with numerical simulations, particularly in residual stress analysis of welded steel components. Emerging trends include the application of deep learning for structural monitoring systems (3 publications) and fire resistance studies of specialized steel girders. His work consistently bridges theoretical modeling with practical infrastructure challenges, emphasizing safety assessment of aging bridge systems. No scientific awards are documented in the available information sources. Academic advising activities and research grant details remain unspecified in current documentation. His departmental role involves direct contribution to structural engineering education at BME, though specific teaching responsibilities aren't detailed in the provided materials.

• Cyber Physical Systems
• Internet of Things
• Smart Mobility
• +5 more

Dr. Prasant Kumar Misra is a Senior Scientist at Tata Consultancy Services Research and Visiting Faculty at the Department of Cyber Physical Systems, Indian Institute of Science Bangalore. With over 60 publications in cyber physical systems, IoT, and smart mobility, his work focuses on optimization and decision intelligence for electric vehicle management and infrastructure systems. Research Interests : Intelligent cyber physical systems, smart mobility, operations research, sensor informatics. Scientific Awards : MIT TR35 India, ERCIM Fellowships, Best Paper Awards at ACM SenSys, EWSN, and COMAD. His articles from 2015–2025 cover topics like IoT optimization , EV routing algorithms , smart grid integration , and acoustic localization , with keywords spanning Computer Science , Electrical Engineering , and Applied Mathematics . He chairs IEEE and ACM chapters and serves on editorial boards for Elsevier Ad Hoc Networks and IEEE Intelligent Transportation Systems Magazine. Professional Roles : Chair-Elect, IEEE Bangalore Section Area Editor, Elsevier Ad Hoc Networks Journal Associate Editor, IEEE Intelligent Transportation Systems Magazine

Deniz VuruşkanView profile

Assistant Professor

• Textile Sciences and Engineering
• Yarn Technology
• Textile Technology Education
• +3 more

Deniz Vuruşkan is an Assistant Professor at the Department of Textile and Fashion Design under the Faculty of Fine Arts at Gaziantep University . With a doctorate in Textile Engineering from Çukurova University (2010), his career spans academic research, administrative leadership, and artistic contributions. PhD in Textile Engineering (Çukurova University, 2010) Master’s in Textile Engineering (Gaziantep University, 2003) Licence in Textile Engineering (Afyon Kocatepe University, 2000) His research focuses on textile technology , emphasizing yarn engineering , sustainable production , and innovative machinery design . Recent work explores recycled polyester blends, double core yarn mechanics, and carpet performance under dynamic loads. Articles highlight applications in material science , mechanical testing , and industrial automation . Vuruşkan has secured multiple national grants, including TÜBİTAK and SAN-TEZ projects, and holds a patent for ring-spinning machine modifications. He has served as Erasmus Coordinator (2016-2017) and Dean Assistant (2019), while organizing conferences on textile innovation. His artistic activities include curating and participating in mixed exhibitions like Modern Masallar Gecesi (2024) and Retrospective Traces (2017), blending technical expertise with creative design.

Vincent LiuView profile

Associate Professor

• Distributed Systems
• Networking
• Programmable Networks
• +7 more

Vincent Liu is an Associate Professor in the Department of Computer and Information Science at the University of Pennsylvania's School of Engineering and Applied Science. He directs the Distributed Systems Lab (DSL) and leads the PennNetworks research group. His research bridges distributed systems and networking, focusing on programmable networks, fault-tolerance, cloud infrastructure, and Internet architecture. Education includes a Ph.D. from the University of Washington and undergraduate research at the University of Texas at Austin in compilers and parallel systems. Research spans distributed systems optimization, cloud computing, sustainable computing, and ML infrastructure. Recent publications emphasize low-latency systems (Paella), cloud multicast (Cloudcast), distributed snapshots (Beaver), and sustainable computing frameworks (Carbon Connect). Network simulation innovations include DONS and NetVision. Awards & Honors: NSF CAREER Award (2019) VMWare Early Career Award (2019) Best Paper Award, USENIX NSDI (2015) Google Fellowship in Networking (2014) Qualcomm Innovation Fellowship (2014) Facebook Faculty Research Award Google Research Award Advises 11+ PhD students, with graduates at Meta, AWS, Microsoft Research, and academia (e.g., Qizhen Zhang, Asst. Prof. at Toronto). Secured grants from NSF, VMWare, Facebook, and Google. Leads the Distributed Systems Lab and PennNetworks group exploring cloud architectures, programmable networks, and sustainable computing. Actively recruiting PhD students.

Kateryna MorozovskaView profile

Researcher

• Computational Methods for Energy Systems
• Physics-Informed Machine Learning
• Renewable Energy Integration
• +3 more

Kateryna Morozovska is a Researcher at the KTH Royal Institute of Technology , affiliated with the Division of Decision and Control Systems and the School of Electrical Engineering and Computer Science . Her work bridges computational methods and energy systems development, focusing on physics-informed machine learning for renewable energy integration and power transformer optimization. Education B.S. and M.S. in Electrical Mechanics from Zaporizhzhya National Technical University (2013) European Energy Masters program with mobility at DTU (Denmark), TU Delft (Netherlands), and NTNU (Norway) PhD in Electrical Engineering from KTH (2020) on 'Dynamic rating for applications in renewable energy' Licentiate from KTH (2019) Research Focus Kateryna's research emphasizes Physics-Informed Neural Networks (PINNs) for power system optimization, including transformer thermal modeling, cellulose degradation analysis, and renewable energy integration. Her projects explore dynamic rating techniques to enhance grid efficiency and sustainability, funded by Vinnova and applied in PV-power plants and wind farms. Scientific Contributions She has developed frameworks for transformer cost analysis, wind farm sizing, and sensor placement optimization using PINNs and MILP. Her work addresses environmental trade-offs in wind energy, such as raw material mining impacts, and investigates thermodynamic challenges in nanocellulose and power systems. Affiliations Kateryna collaborates with industry partners through the PINN Summer School and contributes to SweGRIDS and Mendeley communities. Her teaching includes hands-on PINN training and multi-GPU machine learning.

Soudeh GhorbaniView profile

Assistant Professor

• Systems and Networking
• Cloud Computing
• Data Center Optimization
• +4 more

Soudeh Ghorbani is an Assistant Professor of Computer Science at Johns Hopkins University (on leave since 2023) and a full-time Scientist at Meta. She directs the Hopkins Networking Lab and founded the Introduction to Computing Research (ICR) program. Her research focuses on foundational networked systems, including cloud infrastructure, data center optimization, and network congestion control, with grants from NSF, Google, Meta, Intel, and VMware. Education: Ph.D. in Computer Science, University of Illinois Urbana-Champaign (2016) M.Sc. in Computer Science, University of Toronto (2011) B.Sc. in Computer Engineering, Sharif University of Technology (2009) Research Interests: Systems and networking, cloud computing infrastructures, distributed AI training, network bottlenecks, formal methods, and control theory. Her work targets making the Internet faster and more reliable through provable system designs. Publication Trends: Recent articles (2020-2025) emphasize data center networks, congestion control, packet deflection, and network verification. Key themes include microburst mitigation, traffic pattern analysis, and scalable network algorithms. Awards: Facebook Faculty Research Award (for microburst detection) Intel Fast Forward Award Advising & Grants: Advises 8 PhD/MS students. Research supported by NSF, Google, Meta, Intel, and VMware. Directs the Foundational Networked Systems Lab, focusing on cloud/datacenter innovations. Labs & Teams: Leads the Hopkins Networking Lab. Founded ICR to introduce undergraduates to computing research. Lab members include PhD students Kevin Lu, Sana Mahmood, Sepehr Abdous, and Erfan Sharafzadeh.

Željko IvandićView profile

Professor

• Mechanical Engineering
• Structural Engineering
• Computer-Aided Design (CAD)
• +9 more

Željko Ivandić is a Full Professor at the Faculty of Mechanical Engineering in Slavonski Brod, University of Slavonski Brod, with a career spanning over three decades. His work integrates Mechanical Engineering , Structural Analysis , and Biomechanics , focusing on CAD, tribology, and sustainable design. Doctor of Technical Sciences, University of Zagreb (2002) Master of Science, University of Zagreb (1996) Graduate in Mechanical Engineering, Faculty of Mechanical Engineering in Slavonski Brod (1990) His research emphasizes product development , 3D printing , and environmental protection . Recent work includes biomechanical testing devices and LCA-based environmental assessments. Articles highlight interdisciplinary approaches to structural integrity , robotics , and industrial design . Projects like the Croatian-Slovenian fracture mechanics collaboration and EU-funded ME4CataLOgue underscore his expertise in applied engineering. He mentors through CroRIS and contributes to professional societies, including The Design Society.

Rishabh IyerView profile

Assistant Professor

• Computer Systems
• Performance Analysis and Optimization
• Operating Systems
• +5 more

Rishabh Iyer is an Assistant Professor in the Electrical Engineering and Computer Sciences department at the University of California, Berkeley. His research bridges computer systems, networking, and formal methods with a focus on performance predictability and reliability. Prior to Berkeley, he completed his PhD at EPFL and undergraduate studies at IIT Bombay. His educational background includes: PhD in Computer Science from École Polytechnique Fédérale de Lausanne (EPFL) Bachelor's degree from Indian Institute of Technology Bombay (IIT Bombay) Iyer's research centers on performance interfaces for computer systems – creating succinct abstractions that allow engineers to reason about system performance without understanding implementation details. His work spans three major directions: (1) Extracting performance interfaces from implementations, (2) Designing systems with predictable performance, and (3) Formally verifying performance claims. This research combines operating systems, networking, computer architecture, and formal verification techniques to address performance unpredictability in modern systems. His group develops tools like PIX for network functions, KFlex for kernel extensions, and Software LPN for hardware accelerators. His publications reveal strong focus on performance modeling for network functions, kernel extensions, and hardware accelerators, with recent work expanding into real-time systems and SD-WAN validation. The research consistently targets practical impact, with deployments at companies like Meta and Alibaba. Scientific recognition includes: ACM SIGOPS Dennis M. Ritchie Award Eurosys Roger Needham PhD Award Dimitris N. Chorafas Award Best Paper at VDAT 2019 Iyer actively advises students at UC Berkeley and teaches courses including CS 294-262 (Performance Analysis) and CS 168 (Internet Architecture). Previously at EPFL, he taught Principles of Computer Systems, Software Engineering, and Vector Calculus. His group seeks talented students interested in building reliable, high-performance systems. Current research directions include performance interfaces for distributed applications, next-generation kernel extensions, and formally verified network systems. He leads research within UC Berkeley's systems community and maintains strong connections with EPFL's Dependable Systems Lab where he completed his PhD.

• Stochastic Processes
• Stochastic Models of Evolving Populations
• Probability Theory
• +6 more

Donald Dawson is a Distinguished Research Professor at the Department of Mathematics and Statistics , Carleton University. His work spans over five decades, focusing on stochastic processes, population genetics, and interacting particle systems. Research Interests : Stochastic Processes, Stochastic Models of Evolving Populations, Measure-Valued Diffusions, Large Deviations, and Multiscale Analysis. His research often bridges theoretical probability with applications in biology and physics. Scientific Awards : CRM-Fields Institute Prize (2004) Article Trends : His recent publications emphasize mean-field models, interacting branching processes, and ultrametric systems, reflecting a sustained focus on stochastic dynamics and their mathematical foundations. Supervision : Available for honours project supervision. His career includes mentoring roles in stochastic population systems and queueing theory.

• Computer Science
• Blockchain Technology
• Internet of Things
• +4 more

Dr. Adia Khalid is a researcher at Bielefeld University's Faculty of Engineering, affiliated with the Knowledge Representation and Machine Learning Group. Her office is located at CITEC 1-229, and she can be contacted via telephone at +49 521 106-12214. Her research focuses on interdisciplinary applications of computer science, including blockchain technology, Internet of Things (IoT), smart grids, energy management systems, data security, and optimization algorithms. She investigates solutions for real-world challenges such as secure data trading in vehicular networks, electricity theft detection, robust IoT infrastructure, and renewable energy integration. Her publication trends show consistent work in energy systems optimization (microgrid management, load forecasting) and decentralized technologies (blockchain applications in transportation, data security, and IoT networks). Recent work demonstrates growing emphasis on AI-driven solutions for energy infrastructure and automotive systems.

• Avionics
• Multimodal Transportation
• Air Transport
• +3 more

Sergey Mykolayovych Boyko is an Associate Professor at the Department of Transport Technologies within the Transport Faculty of Zaporizhzhia Polytechnic University. Holding a Candidate of Technical Sciences degree, he specializes in avionics, multimodal transportation, and air transport systems. His academic career at the university began in 2021, where he teaches subjects including Automation, Telemechanics and Communications, Energy Resources, and Fundamentals of Systems and Control Theory. Glukhiv State Pedagogical University (2009): Biology Teacher and Practical Psychologist Kremenchuk National University (2011): Electrical Engineer Kremenchuk National University (2014): Management Specialist National Aviation University (2020): Avionics Specialist Boyko's research spans multiple engineering domains with particular emphasis on sustainable transport solutions. His work integrates electrical engineering principles with modern transportation systems, focusing on multimodal transport networks, green logistics, intelligent control systems, and alternative energy applications in transport. He has made significant contributions to UAV technology, helicopter service networks, and intelligent road transport control systems, demonstrating a consistent commitment to advancing transportation technology through innovation and interdisciplinary approaches. Analysis of Boyko's publication record reveals a strong focus on practical applications of transport technologies with increasing emphasis on sustainability and digitalization. His recent works demonstrate expertise across multiple transport modes (air, road, rail) with particular attention to energy efficiency, intelligent control systems, and multimodal integration. The research shows progression from fundamental electrical engineering concepts toward applied transportation solutions, reflecting his diverse educational background. Diploma of the Poltava Regional Council (2020) for contributions to national science and pedagogical activities With over 59 scientific publications including 5 patents, 9 monographs, and 7 textbooks, Boyko demonstrates substantial scholarly output. His research has been supported through various academic channels, though specific grant details are not provided in the available information. His work shows strong international collaboration, with publications appearing in both Ukrainian and international venues. Boyko's laboratory work focuses on transport technologies research, particularly in the areas of intelligent transport systems and alternative energy applications. His work with the university's research teams emphasizes practical applications of theoretical concepts in real-world transportation scenarios, bridging the gap between academic research and industry implementation.

• Environmental Safety
• Civil Defense
• Occupational Safety
• +3 more

Mykola Ivanovych Lazutkin is an Associate Professor at Zaporizhzhia Polytechnic National University with over 50 years of academic service since 1973. He holds a Candidate of Technical Sciences degree (1990) specializing in Mechanics of a Deformable Solid, with his dissertation focused on gas turbine blade reliability under asymmetric loading. As a faculty member in the Department of Occupational Safety and Environmental Protection within the Faculty of Engineering, he teaches courses on Safety of Life of a Specialist and Occupational Safety in Industry. His research primarily focuses on environmental safety, civil defense, and occupational safety, with particular emphasis on regional environmental assessments, industrial emissions, traffic safety, and workplace ergonomics. His recent publications (2020-2024) demonstrate consistent scholarly output addressing practical safety challenges in Ukrainian industrial and urban contexts. Lazutkin actively contributes to professional organizations as an Associate Member of the European Society for Occupational Safety and Health (ESOSH, registration #13823000211 since June 2023) and serves on the Environmental Commission of the Zaporizhzhia City Council. His work bridges academic research with practical applications in regional safety policy. He has received multiple recognitions including a Certificate of Honor from the Zaporizhzhia City Council (2016), the 'For Impeccable Work' III degree breastplate (2016), and formal gratitudes from the university rector (2016, 2021). His recent professional development includes certification as a labor protection teacher (March 2024) and occupational safety specialist training (2021).