جست‌وجوی استاد و پژوهشگر

• Construction Engineering and Management
• Project Scheduling
• Construction Bidding and Auctions
• +۷ مورد دیگر

Dr. Pablo Ballesteros-Pérez is a researcher in the field of construction engineering and management, with a focus on project scheduling, bidding processes, and human resource allocation. His work addresses critical challenges in construction procurement, weather impact modeling, and team formation using sociometric techniques. Although his current institutional affiliation is not explicitly stated in the provided text, his extensive publication record in top-tier journals indicates a strong academic presence. His research interests span a wide range of topics including construction bidding behavior, multi-attribute auctions, fast-tracking, weather-aware scheduling, and abnormal bid detection. He has developed practical tools such as the Weather-wise planning system and M-PERT for educational purposes. His methodological approaches often involve statistical modeling, operations research, and data-driven analysis of real-world construction projects. The recent articles highlight a consistent trend in analyzing bidding competitiveness, improving procurement efficiency, and integrating environmental factors like weather into scheduling. His work bridges theoretical models with practical applications in construction management, contributing significantly to both academic knowledge and industry practices. Scientific Awards: None explicitly mentioned in the provided text. Advising and Grants: No information available regarding students supervised or research grants obtained. However, his frequent collaborations suggest active participation in research networks and potential involvement in funded projects. Labs and Research Teams: No specific laboratories or research teams are mentioned in the provided text. However, his co-authorship with researchers from various institutions indicates collaborative research efforts in construction management and engineering.

• Concurrency and Parallelism
• Real-time Systems
• Distributed Systems
• +۶ مورد دیگر

Lukasz (Luke) Ziarek serves as Associate Dean for Academic Affairs and Associate Professor in the Department of Computer Science and Engineering at the University at Buffalo's School of Engineering and Applied Sciences. His work bridges theoretical computer science with practical systems engineering, focusing on real-time capabilities in distributed environments and safety-critical applications. His educational foundation includes a PhD in Computer Science from Purdue University (2011) and a BS in Computer Science from the University of Chicago (2003). Ziarek's research centers on formal verification of distributed protocols , real-time systems engineering , and mobile/embedded computing . He pioneers session type theory for IoT security, develops real-time variants of Android (RTDroid) and Standard ML (RTML), and investigates UAV software reliability. His work consistently addresses the tension between theoretical guarantees and practical system constraints in concurrency, timing, and security. Recent publications (2022-2025) reveal three dominant trajectories: formal methods for rate-based session types in IoT protocols, performance analysis of visual SLAM systems for robotics, and security vulnerabilities in embedded platforms like ARM TrustZone. These threads converge on ensuring correctness and timeliness in resource-constrained distributed systems. His scientific accolades include the IEEE Region One Technological Innovation Award (2023) and NSF CAREER Award (2018), reflecting dual excellence in research and education. IEEE Region One Technological Innovation (Academic) Award, 2023 President Emeritus and Mrs. Meyerson Award for Distinguished Undergraduate Teaching and Mentoring, 2022 NSF CAREER Award, 2018 SEAS Early Career Teacher of the Year, 2016 Halstead Award for Outstanding Research in Software Engineering, 2009 Intel Fellowship, 2008 GAANN Fellowship, 2004 Ziarek directs significant research initiatives including a $900K NSF UAV infrastructure project (as PI) and a $1.7M MRI grant for connected vehicle testing. His funding portfolio spans real-time systems, compiler design, and pocket-scale data management, emphasizing collaborative, interdisciplinary approaches to software reliability. CRI:CI-New UAV Infrastructure ($900K, PI 31%) NSF CAREER: Real-time Object-Oriented Systems ($500K, PI 100%) MRI: iCAVE2 Vehicle Testing ($1.7M, co-PI 14%) III: Just-in-Time Data Structures ($499K, co-PI 50%) II-EN: MLton Compiler Research ($606K, PI 63%) He leads an open-source ecosystem including RTDroid (real-time Android), Multi-MLton (parallel SML compiler), and BlueSeal (Android security analyzer), fostering community-driven advances in systems software.

Gianluca Aloiمشاهده پروفایل

دانشیار

• Wireless Networks
• Cellular Networks
• Sensor Networks
• +۷ مورد دیگر

Gianluca Aloi serves as an Associate Professor in Telecommunications (IINF-03/A) at the Department of Computer Engineering, Modeling, Electronics and Systems (DIMES) of the University of Calabria, Italy. He holds the position of scientific director for the Telecommunications and Information Theory for Advanced Networking Laboratory (TITAN Lab.). Dr. Aloi earned his PhD in Systems Engineering and Computer Science from the University of Calabria in 2003 and became a University Researcher in Telecommunications (ING-INF/03) in 2004 before advancing to his current academic rank. His research expertise spans wireless networks, cellular networks, sensor networks, Internet of Things systems and their interoperability, management of resources and services in the Cloud/Edge and IoT (CEI) Continuum, and management and orchestration of network resources using Artificial Intelligence. His work particularly focuses on UAV-assisted IoT systems for industrial applications, geological hazard monitoring, and maritime environments. Analysis of Dr. Aloi's recent publications (2023-2025) reveals a strong emphasis on applying reinforcement learning and deep learning techniques to solve complex networking challenges. His research shows a clear trajectory toward developing intelligent network architectures that optimize data collection, improve system resilience, and enhance resource management across the edge-to-cloud continuum. Key application areas include smart factories, disaster monitoring, and urban vehicular systems. Dr. Aloi teaches courses including Fundamentals of Telecommunications Networks and Telecommunications Networks for both Electronic Engineering and Computer Engineering programs. He maintains regular reception hours every Tuesday from 9am to 11am or by appointment via email. As scientific director of TITAN Lab, Dr. Aloi leads research initiatives focused on advanced networking technologies, with particular emphasis on developing solutions for next-generation communication systems that integrate artificial intelligence with traditional networking paradigms to address real-world challenges in telecommunications and IoT applications.

Kamesh Munagalaمشاهده پروفایل

دانشیار

• Algorithm design
• Discrete optimization
• Approximation algorithms
• +۸ مورد دیگر

Kamesh Munagala is an Associate Professor of Computer Science at Duke University, where he has been employed since 2004. His research spans theoretical computer science with applications in e-commerce, databases, data analysis, and networks. He serves as an Area Editor for PeerJ Computer Science and has held leadership roles including Director of Graduate Studies for the Duke CS department from 2012 to 2015. Education: PhD in Computer Science from Stanford University (2003) BTech from IIT Bombay (1998) Munagala's research focuses on algorithm design and discrete optimization, particularly in scenarios with uncertain inputs. His work encompasses approximation algorithms, online algorithms, and algorithmic game theory. Recent research has concentrated on two main themes: (1) Persuading optimizers or learners toward certain objectives through information revelation and pricing, and (2) Ensuring fairness to groups based on proportionality and stability in resource allocation and societal decision making contexts. His theoretical work has practical applications in designing data networks, facility location, data center scheduling, ad slot allocation, ride-share scheduling, and civic budgeting. Analysis of Munagala's recent publications reveals a strong trend toward interdisciplinary research at the intersection of computer science, economics, and social choice theory. His work shows increasing sophistication in handling fairness constraints across multiple dimensions, particularly in societal decision-making contexts like school assignment, participatory budgeting, and redistricting. There is also a notable expansion into the emerging area of large language models for combinatorial optimization, reflecting the field's evolution toward AI-assisted algorithmic solutions. His research consistently bridges theoretical foundations with real-world applications requiring nuanced approaches to resource allocation under uncertainty. Scientific Awards: NSF CAREER Award (2008) Alfred P. Sloan Research Fellowship (2009) Best paper award at WWW 2009 conference Munagala has served as Director of Graduate Studies for the Duke CS department from 2012 to 2015 and was a Visiting Research Professor at Twitter in 2012. His research has been supported by prestigious grants including the NSF CAREER award. He actively mentors students, with many of his publications featuring student co-authors across his two main research thrusts. His work addresses fundamental challenges in computing efficient solutions under uncertainty, designing pricing and incentive mechanisms for selfish agents, and developing fairness-preserving algorithms for societal decision making. Munagala leads research projects in two broad categories: proportionality in resource allocation and societal decision making, and asymmetric information and persuasion in learning and optimization. His work on proportionality explores fairness concepts like proportionality or core-stability across various societal contexts, while his research on asymmetric information addresses how parties with incomplete information collaborate or compete to achieve optimization objectives through strategic information revelation.

• Scientific Workflow Management
• High-Performance Computing (HPC)
• Artificial Intelligence/Machine Learning (AI/ML)
• +۳ مورد دیگر

Ozgur Kilic is a Researcher at the Computational Science Initiative of Brookhaven National Laboratory, specializing in high-performance computing (HPC) and AI/ML-driven scientific workflows . His work focuses on optimizing computational efficiency, resource management, and data resilience in large-scale systems. Education: Ph.D. in Computer Science, State University of New York at Binghamton Research Interests: Ozgur investigates scientific workflow management, asynchronous task execution in heterogeneous environments, memory trace analysis, and performance modeling. His work addresses challenges in virtualization overheads and scalability for accelerated systems. Recent Publications Trends: His recent work emphasizes interoperability in HPC workflows, asynchronous execution frameworks, memory diagnostics, and redefining computational efficiency metrics like Amdahl's Law in accelerated systems. Laboratory Affiliation: Ozgur is part of the Computational Science Initiative at Brookhaven National Laboratory, contributing to data-driven discovery and HPC innovation.

Jeff Goadمشاهده پروفایل

استاد

• Travel Medicine
• Vaccines and Immunization
• Public Health
• +۴ مورد دیگر

Jeff Goad is a tenured Professor of Pharmacy Practice at Chapman University School of Pharmacy . He holds dual degrees: a Doctor of Pharmacy (PharmD) from the University of Southern California School of Pharmacy and a Master of Public Health (MPH) from USC's Keck School of Medicine . With over 25 years of clinical experience in travel health clinics and immunization services, he coordinates courses in travel medicine, epidemiology, and parasitology. Chair and Developer of APhA's Travel Medicine Advanced Competency Training Course National Faculty & Advisory Board Member, APhA Pharmacy-Based Immunization Training Program Presented at 350+ pharmacy/medical conferences Published 90+ articles/book chapters His research focuses on social and behavioral aspects of healthcare decision-making related to immunizations and travel medicine. He employs focus groups , modified Delphi technique , and online conditional logic surveys to identify healthcare delivery gaps and optimize vaccination strategies using public health models like the Health Belief Model and KABP . Retrospective database mining validates findings and evaluates patient care outcomes. Recent scholarly works address counterfeit medicine risks , influenza vaccine effectiveness , HPV immunization barriers , travel clinic implementation , and adult immunization adherence . His studies emphasize pharmacist roles in increasing vaccine access , overcoming legal restrictions , and improving healthcare resource utilization . President , National Foundation for Infectious Diseases Past Chair , International Society of Travel Medicine Pharmacist Group Past President , California Immunization Coalition Past President , California Pharmacists Association 2013 Certificate of Knowledge in Travel Health, International Society of Travel Medicine

Simon J E Taylorمشاهده پروفایل

استاد

• Modelling & Simulation
• Digital Infrastructures
• Cloud Computing
• +۷ مورد دیگر

Professor Simon J E Taylor is a Professor of Computer Science and Vice Dean Research at the College of Engineering, Design and Physical Sciences, Brunel University London. He is Co-Director of the Modelling and Simulation Research Group and Adjunct Director of the Smart Technology Advancements for Health and Rehabilitation (STAHR) Centre. Research Interests: Modelling & Simulation Digital Infrastructures and Services Cloud Computing International Development Open Science His research focuses on high-performance simulation infrastructures, AI-based optimization, and open science applications in healthcare and industry. He has led international projects improving digital infrastructure across Africa and contributed to standards in simulation interoperability. Scientific Contributions & Leadership: Co-founder and former Editor-in-Chief of the Journal of Simulation Chair of ACM SIGSIM (2005–2008) General Chair, IEEE/ACM 2025 Winter Simulation Conference Executive Chair, Simulation Exploration Experience (SEE) Member, Computer Simulation Archive steering committee PhD Supervision & Teaching: Professor Taylor has supervised over 20 doctoral students and examined more than 25 PhDs globally. He leads modules in distributed computing and has developed several postgraduate degrees. He is actively involved in undergraduate and postgraduate teaching, including NATCOR courses, and supports student internships. Research Grants & Projects: Framework Development of Simulation-Augmented Many Objective Optimization for Sustainable Supply Chains (MITRE Corporation, 2023) HIDALGO: HPC and Big Data Technologies for Global Systems (EU, 2018–2021) COLA: Cloud Orchestration at the Level of Application (EU, 2017–2019) CloudSME: Cloud-based simulation platform for manufacturing (EU, 2013–2015) Sci-GalA: Science Gateways and e-Infrastructures in Africa (EU, 2015–2017)

Ioannis Lambadarisمشاهده پروفایل

استاد

• Network Traffic Modeling
• Quality of Service (QoS) Control
• Cloud Data Center Resource Allocation
• +۸ مورد دیگر

Ioannis Lambadaris is a Full Professor and Chancellor’s Professor at Carleton University's Department of Systems and Computer Engineering, Faculty of Engineering and Design. Holding a Ph.D. from the University of Maryland, he has contributed extensively to network performance analysis over 25+ years. Specializes in stochastic processes, cloud computing, and wireless edge systems Led Ericsson 5G Chair initiatives Supervised over 70 graduate students His research spans QoS control , VNF placement optimization , and IoT indoor localization , with over 170 publications. Recent work focuses on reinforcement learning and deep learning in network resource allocation. Scientific Recognition: Chancellor’s Professor Ericsson 5G Chair Contact: ioannis@sce.carleton.ca | Office: Mackenzie 4448, Ottawa, ON

Kamesh Munagalaمشاهده پروفایل

استاد

• Theoretical Computer Science
• Approximation Algorithms
• Online Algorithms
• +۷ مورد دیگر

Kamesh Munagala is a Professor of Computer Science at Duke University's Trinity College of Arts & Sciences since 2016. His primary affiliation is with the Computer Science Department, where he conducts research in theoretical computer science with a focus on algorithm design, fairness, and economic mechanisms. His educational background includes a Ph.D. (2003) and M.S. (2002) from Stanford University. Munagala has maintained a strong research trajectory with continuous publications spanning over two decades. Munagala's research focuses on theoretical computer science, particularly approximation algorithms, online algorithms, and computational economics. His recent work centers on two main themes: (1) persuading optimizers or learners toward specific objectives through information revelation and pricing, and (2) achieving group fairness based on proportionality and stability in resource allocation contexts. His research addresses practical applications including data network design, facility location, data center scheduling, ad slot allocation, ride-share scheduling, and civic budgeting. His publication record shows consistent output with multiple high-impact papers in top conferences like STOC, SODA, and ICML. Recent publications (2024-2025) demonstrate his focus on algorithmic fairness, differential privacy, and mechanisms for resource allocation. His work often intersects computer science with economics, game theory, and social choice theory. Best Paper Award at WINE '18 for 'A simple mechanism for a budget constrained buyer' Best Paper Award at WWW '09 for 'Hybrid keyword search auctions' Munagala has secured significant research funding including an NSF Medium grant (2024-2027) for 'Responsive Optimization for Algorithmic Decision Systems' and an NSF Small grant (2021-2025) for 'Algorithm and Incentive Design for Modern Resource Allocation Platforms'. His teaching portfolio includes graduate and undergraduate courses in algorithm design, randomized algorithms, and algorithmic game theory, with courses scheduled through Fall 2025.

• Energy Resource Management
• Smart Grids
• Electric Vehicles
• +۶ مورد دیگر

João André Pinto Soares is a Senior Researcher at the Knowledge Engineering and Decision Support Research Group (GECAD) at the Polytechnic Institute of Porto's School of Engineering. He earned his PhD in Electrical and Computer Engineering from UTAD in 2017 and has since secured significant funding through FCT projects, including CENERGETIC as Principal Investigator and BENEFICE as co-PI. Principal Investigator for CENERGETIC project on energy resource management Co-PI for BENEFICE project on smart building optimization Visiting Professor at Centrale Lille since 2019 Co-coordinator of SAtCOMM project for sustainable Atlantic energy communities Dr. Soares has established international collaborations with institutions including Sao Paulo State University (UNESP), Honda Research Institute Europe, and Centrale Lille. His research focuses on energy resource management in smart grids, with particular emphasis on local energy markets and electric vehicles. He has successfully managed a team of 10 researchers over the last 5 years and supervised numerous students at various academic levels. His publication record includes over 200 scientific articles, with 75 in international journals, garnering more than 5500 citations and an h-index of 40. His most recent work demonstrates strong trends in applying advanced optimization techniques, machine learning, and metaheuristics to energy resource management problems, particularly focusing on uncertainty modeling, electric vehicle integration, and local energy markets. Chair of IEEE ISATC Task Force on Computational Intelligence for the Energy Domain Secretary of the IEEE PES Intelligent Systems Subcommittee Launched 16 special issue editions as co-editor in JCR journals Reviewed over 400 scientific papers Dr. Soares has supervised 9 PhD students (7 ongoing), 23 MSc students, and 23 BSc students. His research has been supported by 28 national/international projects (10 as PI, 2 as Co-PI, and 17 as researcher), including Horizon/H2020 projects. He has also been instrumental in organizing over 30 scientific events and has delivered more than 30 invited talks at international conferences.

• Computer Systems Performance Engineering
• Networking and Internet
• Cloud Computing
• +۷ مورد دیگر

Nicholas Bambos is the R. Weiland Professor in the School of Engineering at Stanford University, holding a joint appointment in the Department of Electrical Engineering and the Department of Management Science & Engineering. He served as the Fortinet Founders Department Chair of the Management Science & Engineering Department from 2016 to 2020. His academic career spans over three decades, with previous positions as an assistant professor (1989-1995) and tenured associate professor (1995-1996) at UCLA before joining Stanford in 1996. Prof. Bambos's primary research interests focus on the architecture and high-performance engineering of computer systems and networks, along with data analytics emphasizing medical and health-care applications. His work spans multiple domains including networking and the Internet, cloud computing, multimedia streaming, computer security, and digital health. Methodologically, his contributions extend to network control, online task scheduling, routing and distributed processing, and machine learning and artificial intelligence. His research has resulted in over 300 peer-reviewed publications that demonstrate a strong interdisciplinary approach, bridging theoretical computer science with practical healthcare applications. The trajectory of Prof. Bambos's recent publications reveals a strategic expansion from traditional networking and systems research into healthcare analytics, particularly opioid use prediction and digital health monitoring. His work increasingly integrates machine learning techniques with domain-specific medical knowledge, showing a clear evolution toward solving complex societal challenges through technological innovation. Many publications demonstrate collaborative work across engineering, medical, and data science disciplines, reflecting the growing importance of interdisciplinary research in addressing modern healthcare challenges. His significant scientific achievements have been recognized through numerous prestigious awards: R. Weiland Professorship in Engineering (2016-present) Eugene L. Grant Teaching Award (2014) IBM Faculty Award (2002) Cisco Systems Faculty Scholar (1999-2003) National Young Investigator Award from NSF (1992-1997) Prof. Bambos has graduated over 40 doctoral students who have gone on to leadership positions in academia, Silicon Valley industries, technology startups, finance, and venture capital. His research has been supported by significant funding, including a $30 million Stanford Networking Research Center which he directed from 1999 to 2005. Beyond traditional academic roles, he has served on various editorial boards, scientific committees, and as a consultant and co-founder of technology startups, demonstrating his commitment to translating academic research into real-world impact. He leads the Computer Systems Performance Engineering Lab (Perf-Lab) at Stanford, which comprises doctoral students and industry visitors engaged in various research projects. His lab serves as an interdisciplinary hub connecting theoretical computer science with practical applications in healthcare, energy, and networking domains. The lab's collaborative environment fosters innovation across traditional academic boundaries, reflecting Prof. Bambos's broader research philosophy of addressing complex problems through integrated, multi-disciplinary approaches.

Tolga Ovatmanمشاهده پروفایل

استاد

• Algorithms and Computing Theory
• Computer Software and Software Engineering
• Cloud Computing
• +۶ مورد دیگر

Prof. Dr. Tolga Ovatman is a faculty member at the Department of Computer Engineering, Istanbul Technical University , where he has been serving as Head of Department since 2024. His academic career spans roles from Research Assistant (2004-2012) to Associate Professor (2019-2023) and full Professor (2023-present). He previously held administrative roles such as Vice Dean (2018-2022) and Deputy Head of Department (2016-2018). PhD in Computer Engineering (2005-2011) MS in Computer Engineering (2003-2005) BSc from Hacettepe University (1999-2003) His research focuses on model checking , replicated state machines , cloud computing , and object-oriented software . Recent work addresses computation offloading in 6G networks , collaborative text editing data structures , and energy-efficient environmental monitoring systems . Key projects led include Design of a Multiplexed State Machine Storage System for Edge Computing (2022-2024) and Microservice Compatible Symphony Infrastructure Research (2020). He has supervised numerous theses on topics ranging from collaborative text editing to AI applications in watershed management . Publications span IEEE Transactions , Springer , and conferences like CSCE and CLOSER .

Richard W Sharpمشاهده پروفایل

پژوهشگر ارشد

• Virtualization
• Operating Systems
• Computer Security
• +۷ مورد دیگر

Dr. Richard W Sharp is a Research Fellow at the University of Cambridge , with expertise in virtualization, computer security, and hardware synthesis. His work bridges foundational research in programming languages and practical applications in cloud computing and secure systems. BA, Computer Science (1999, Robinson College, University of Cambridge) PhD, Computer Science (2003, University of Cambridge) MBA (2012, Judge Business School) Dr. Sharp's research spans virtualization environments , operating systems , and security policy enforcement . He has pioneered techniques for network policy implementation , storage optimization , and VM migration , with a focus on heterogeneous systems and resource allocation. His publications highlight trends in functional programming applications, secure mobile computing, and hardware/software co-design. Dr. Sharp also contributes to functional programming in industrial contexts and security frameworks for web applications. Despite no formal awards listed, his work in virtualization and security synthesis remains influential.

Dominik Walterمشاهده پروفایل

پژوهشگر

• Hardware-Software Co-Design
• Processor Arrays
• Embedded Systems
• +۳ مورد دیگر

Dominik Walter is a Researcher at the Department of Computer Science 12 (Hardware-Software Co-Design) at the University of Erlangen-Nuremberg (FAU), where he has been working since 2019. His research focuses on innovative approaches to hardware-software integration, particularly in the domain of processor array architectures and embedded systems design. Walter completed his educational journey at the University of Augsburg, earning a B.Sc. in Computer Science and Multimedia (2013-2016) followed by an M.Sc. in Computer Science (2016-2019). This strong foundation in both theoretical and applied computer science has informed his current research direction. His primary research interests center around Hardware-Software Co-Design, with particular expertise in Tightly Coupled Processor Arrays and Invasive Computing paradigms. Walter's work explores how to optimize resource allocation in parallel computing environments, improve energy efficiency in embedded systems, and develop novel approaches for real-time data processing. His research bridges theoretical computer architecture concepts with practical implementation challenges. Walter's publication record from 2020-2025 reveals a consistent research trajectory focused on processor array architectures and their applications. His work spans both theoretical foundations and practical implementations, with contributions to sustainable computing, real-time systems, and hardware acceleration techniques. A notable pattern in his research is the application of invasive computing principles to solve complex parallel processing challenges across various domains. As a researcher at FAU's Department of Computer Science 12, Walter is part of a vibrant research community focused on cutting-edge hardware-software integration problems. His work contributes to the department's reputation in processor architecture and embedded systems design, with potential applications in high-performance computing, embedded AI, and energy-efficient computing systems.

Yong Dengمشاهده پروفایل

استادیار

• Optimization
• Coded Caching
• Distributed Computing
• +۳ مورد دیگر

Dr. Yong Deng is an Assistant Professor in the Software Engineering department at Lakehead University , Canada. He holds a Ph.D. in Electrical and Computer Engineering from Ontario Tech University and a Postdoctoral Fellowship from University of Toronto . His research focuses on Coded Caching, Distributed Computing, Wireless Networks, Algorithmic Mechanism Design, and Network Security . B.Eng., Wuhan University of Technology, China Ph.D., Electrical and Computer Engineering, Ontario Tech University, Canada Postdoc, University of Toronto, Canada Deng's recent work investigates memory-rate tradeoffs in caching systems, novel coded delivery strategies, and decentralized caching under nonuniform file popularity. His contributions span IEEE/ACM Transactions on Networking , IEEE Communication Letters , and IEEE Transactions on Information Theory , focusing on optimizing network efficiency and resource allocation. He actively recruits Master's students and has published extensively on caching algorithms, vehicular cloud security, and distributed computing challenges.