Find Academic Supervisors

Stephan BohacekView profile

Associate Professor

• Enterprise Computing
• Networking
• Cloud Computing
• +6 more

Stephan Bohacek is an Associate Professor at the University of Delaware, focusing on enterprise computing and networking. His research emphasizes performance modeling, analysis, and prediction across cloud computing environments and mobile ad hoc wireless networks (MANETs). He investigates trade-offs between cost and performance in cloud-based applications, including databases, web services, and big data systems like Hadoop. In networking, he studies mobility challenges in MANETs and protocol design for wireline networks (e.g., TCP, routing). His methodologies combine theoretical approaches (optimization, probability) with hands-on development (kernel hacking). Research data comes from live experiments and industry collaborations. Prof. Bohacek's work is characterized by rigorous mathematical analysis in his publications. No scientific awards or grants are explicitly mentioned in the provided text. His office is located in Evans 306, and he can be reached via bohacek@udel.edu.

Osman GökalpView profile

Assistant Professor

• Evolutionary Computation
• Metaheuristic Algorithms
• Machine Learning
• +5 more

Osman Gökalp is an Assistant Professor in the Department of Computer Engineering at Izmir Institute of Technology (IZTECH). He holds B.Sc., M.Sc., and Ph.D. degrees from Ege University's Computer Engineering department (2010, 2012, 2018). Previously, he served as a research assistant at Yaşar University (2011-2012) and Ege University (2014-2021), followed by an assistant professor position at Izmir Katip Çelebi University (2021-2024). His research focuses on evolutionary computation, metaheuristic algorithms, machine learning, and optimization problems with applications in medical imaging, cloud computing, and wireless sensor networks. Education: B.Sc. Computer Engineering, Ege University (2010) M.Sc. Computer Engineering, Ege University (2012) Ph.D. Computer Engineering, Ege University (2018) Research Interests: His work spans algorithm design for optimization problems, including metaheuristics like Greedy Construction and Differential Evolution. Notable areas include DNA motif discovery, task scheduling in cloud computing, and Alzheimer's disease detection via medical imaging. Projects: Contributions include repositories like 'WSN_Coverage_And_Connectivity' (Differential Evolution for sensor networks), 'CloudTaskSchedulingOptimization' (metaheuristics for cloud task scheduling), and 'MotifDiscovery' (DNA sequence analysis using GRASP metaheuristic). Labs/Teams: Active in IZTECH's Computer Engineering research groups, focusing on computational intelligence and algorithm development for real-world applications.

Adnen EL AMRAOUIView profile

Associate Professor

• Process Control
• Operations Research
• Logistics and Supply Chain Management
• +5 more

Dr. Adnen EL AMRAOUI is an Associate Professor at the University of Artois, France, with a PhD in Process Control from the Technical University of Belfort-Montbéliard (UTBM, France). His research focuses on optimization, logistics systems, and healthcare operations, with expertise in cross-docking operations, supply chain resilience, and AI-driven decision support systems. He has contributed to advancing methodologies for home healthcare routing, sustainable farmer selection, and energy demand forecasting through multi-criteria decision frameworks. His academic background includes significant work on cyclic hoist scheduling problems, robust control systems, and distributed data compression for wireless sensor networks. Dr. EL AMRAOUI's research integrates operations research with emerging technologies like machine learning and IoT, addressing real-world challenges in healthcare logistics, energy systems, and agricultural supply chains. Key contributions include developing GVNS-based algorithms for home dialysis care logistics, hybrid approaches for resilient farmer selection in Tunisia, and systematic reviews on AI applications in cross-docking and fisheries management. His work emphasizes practical solutions for complex systems under uncertainty, with a focus on sustainability and operational efficiency. Dr. EL AMRAOUI holds an ORCID ID (https://orcid.org/0000-0001-9233-8655) and has published extensively in peer-reviewed journals and conference proceedings. His research spans interdisciplinary fields such as smart healthcare systems, renewable energy management, and industrial automation.

Matthew BradburyView profile

Senior Lecturer

• Cyber Security
• Context Privacy
• Trust Assessment
• +3 more

Dr. Matthew Bradbury is a Senior Lecturer in Cyber Security at Lancaster University's School of Computing and Communications, part of the Security Systems Research Group. His work focuses on securing resource-constrained systems like IoT devices and distributed networks, addressing challenges such as context privacy, trust assessment, and multi-tenancy. He holds a Master of Engineering (2013) and PhD (2018) from the University of Warwick, followed by roles as a Research Fellow in WMG and the Department of Computer Science at Warwick before joining Lancaster in 2021. Research interests include IoT security, vehicular systems, and space cybersecurity. Notable projects include the FAIR-SPACE hub (2018–2019) for space systems verification, IoT-TRaM for vehicle cyber testing, and the CAPRI project for CAV reference architectures. He has led initiatives like the Competitive Advantage in the Digital Economy (CADE) Forum and contributed to standards for GNSS resilience and cyber testing facilities. His publications span secure offloading in edge-IoT, threat modeling for autonomous systems, and privacy-preserving routing protocols. Current opportunities include PhD supervision on security/privacy in cyber-physical systems.

Brian LevineView profile

Professor

• Security
• Privacy
• Forensics
• +5 more

Brian Levine is a Distinguished Professor and Director of the Cybersecurity Institute at the University of Massachusetts Amherst. He joined the Manning College of Information and Computer Sciences (CICS) in 1999, specializing in network security, privacy, and forensics, particularly in combating child exploitation. His work has led to tools like RoundUp, used globally to rescue hundreds of children from abuse. He holds a PhD in Computer Engineering from UC Santa Cruz and has been recognized with awards like the ACM Fellow (2020) and the IEEE INFOCOM Test of Time Award (2017). Key research areas include child sexual exploitation prevention, blockchain security, and peer-to-peer networks. He has published over 90 papers, cited 19,000+ times, and secured $12M+ in grants from NSF, DOJ, and others. His leadership roles include Co-Director of the UMass Data Core and founding director of the Cybersecurity Institute. Teaching highlights include courses on machine learning applied to security and forensics. Notable collaborations include work with FBI ICAC Task Forces and testimony to the U.S. Sentencing Commission. His lab’s tools and research have been featured in major media, including the New York Times and Wall Street Journal. Grants and funding span DOJ, NSF, and private sectors, focusing on child exploitation prevention and cybersecurity. His educational background includes a BS in Applied Mathematics and Computer Science from the University at Albany.

• Discrete Optimization
• Approximation Algorithms
• Mathematical Programming
• +3 more

Zachary Friggstad is an Associate Professor in the Department of Computing Science at the University of Alberta. His research focuses on algorithm design for discrete optimization problems, including vehicle routing, facility placement, and scheduling. He specializes in approximation algorithms with proven performance guarantees, often leveraging convex relaxations like linear and semidefinite programming. Education: B.Sc. in Computing Science, University of Lethbridge, 2005 M.Sc. in Computing Science, University of Alberta, 2007 Ph.D. in Computing Science, University of Alberta, 2011 Research Interests: Discrete Optimization Approximation Algorithms Mathematical Programming Algorithm Design for NP-Hard Problems Graph Algorithms and Combinatorial Optimization His publications span over 50 works, with recent trends emphasizing fair clustering algorithms, TSP approximations, and narrative distillation in cross-media contexts. No scientific awards are explicitly listed in the provided text. He has advised no students in the listed records. His work bridges theoretical computer science and practical algorithmic solutions for complex optimization challenges.

• Plasma Physics
• Space Plasmas
• Space Physics
• +3 more

Malik Mansour is a Researcher affiliated with the Plasma Physics Laboratory (LPP), a joint unit between Sorbonne University and Polytechnic School. His primary position is at the Polytechnic School campus located at route de Saclay, Palaiseau, France. He is a member of the Space Plasmas team, contributing to research on space missions, plasma instrumentation, and spatial data processing tools. Research interests focus on understanding plasma dynamics in space environments, including planetary magnetospheres, solar wind interactions, and instrumentation development for space exploration. The team’s work involves collaboration with space agencies and the integration of advanced analytical methods to interpret spatial data. No scientific awards or grants are explicitly listed in the provided text. While no formal advisee students are noted, his role in the Space Plasmas team suggests involvement in mentoring doctoral and internship candidates. He is based at the Palaiseau site of the LPP, part of the transverse research axes focusing on digital simulation and turbulence studies. The laboratory also emphasizes software development and IT support for plasma physics research.

Bridget Annelia AlexView profile

Lecturer

• Human Evolutionary Biology
• Paleoanthropology
• Archaeology
• +3 more

Bridget Annelia Alex is a Lecturer in Human Evolutionary Biology at Harvard University's Faculty of Arts and Sciences. She specializes in paleoanthropology, science writing, and education. Her research focuses on human evolutionary processes, particularly the global spread of Homo sapiens and the extinction of other hominins like Neanderthals. Methodologically, she employs radiocarbon dating and geochemical analyses, having conducted fieldwork in the Balkans, Eastern Europe, and the Levant. Alex is also an editor for SAPIENS magazine and has contributed pop-science articles to outlets like Discover , Science , and Smithsonian . She holds a PhD (2016) in Anthropological Archaeology & Human Evolutionary Biology from Harvard University. Her work bridges scientific research with public communication, emphasizing accessible science writing and educational outreach. Key research themes include paleoenvironmental reconstruction, human migration patterns, and the chronology of Paleolithic cultural transitions. Over her career, she has explored interdisciplinary topics like the Anthropocene's ancient origins and the interplay between human activity and environmental change. Her academic contributions span archaeological site analyses (e.g., Manot Cave in Israel, Ciemna Cave in Poland), methodological advancements in dating techniques, and investigations into hominin fossil contexts. While no formal awards are listed, her prolific publication record reflects recognition in archaeological and anthropological circles. Teaching responsibilities include undergraduate/graduate courses in human evolution, anthropology, and science communication. Fieldwork locations and methodological expertise highlight her global perspective on prehistoric human adaptation.

Paul CalamaiView profile

Professor

• Operations Research
• Nonlinear Optimization
• Bilevel Optimization
• +5 more

Paul Calamai is a Professor in the Department of Systems Design Engineering at the University of Waterloo, and is affiliated with the Waterloo Institute for Sustainable Energy. His research focuses on resource management, optimization methods, and the integration of operations research with geographical information systems (GIS). He holds a BSc, MSc, and PhD from the University of Waterloo (1977–1983). Research Interests : Bilevel optimization, societal and environmental systems, nonlinear optimization, facility location, and resource allocation. His work emphasizes developing robust decision-support tools for operational strategy analysis in constrained resource environments. Recent Work Trends : His publications from 2005–2011 emphasize multi-objective optimization, evolutionary algorithms, and spatial data modeling. Key themes include dynamic combinatorial problem-solving, ant colony systems, and applications in land-use planning and manufacturing systems. Advising & Grants : Currently accepting graduate applications in optimization and systems design. His research has addressed challenges in bioenergy planning, vehicle routing, and active suspension systems through interdisciplinary collaborations. Labs/Teams : Active within the Waterloo Institute for Sustainable Energy, focusing on bioenergy systems and sustainable resource management strategies.

Caroline JagtenbergView profile

Assistant Professor

• Operations Research
• Emergency Medical Services Optimization
• Healthcare Logistics
• +4 more

Dr. Caroline Jagtenberg is an Assistant Professor in the Department of Operations Analytics at the School of Business and Economics, Vrije Universiteit Amsterdam. Her expertise lies in operations research applied to emergency service optimization, healthcare logistics, and fair resource allocation. She holds a PhD in applied mathematics from CWI (2017) and conducted postdoctoral research at the University of Auckland (2018). Education: PhD in Applied Mathematics, Centrum Wiskunde & Informatica (CWI), 2017 Postdoctoral Fellowship, University of Auckland, New Zealand, 2018–2020 Research Interests: Dr. Jagtenberg focuses on bridging theoretical optimization and practical applications in emergency services. Her work includes ambulance and air ambulance base location optimization, community first responder systems, police response time reduction, and fairness in healthcare resource allocation. She has contributed to projects such as the VeRoLog Solver Challenge (Third Prize, 2019) and the NWO Rubicon-funded postdoctoral research. Awards & Grants: Jo van Nunen Award (2017) for best Dutch logistics dissertation NWO Rubicon Grant (2018), supporting her postdoctoral research TKI Dinalog Grant (2023) for the SPRINTER project on emergency response optimization Advising & Projects: She leads the SPRINTER project and contributes to the TKI Dinalog initiative. Ancillary activities include editorial roles at Stator , LNMB board membership, and consultancy with organizations like Deltares and Berenschot. Labs & Teams: Her research leverages datasets such as ambulance travel times (RIVM) and Norwegian municipality data, collaborating on projects like optimizing mobile stroke units and electric ambulance deployment strategies.

• Computer Science
• Artificial Intelligence
• Machine Learning
• +5 more

Jian Chen is a prolific academic researcher with affiliations across multiple institutions worldwide, primarily in China but also including international universities. The DBLP disambiguation page lists 47 distinct individuals with this name, working in various departments including Computer Science, Electrical Engineering, Telecommunications Engineering, and other technical fields at prestigious institutions such as Zhejiang University, Xidian University, Northeastern University, and Ohio State University. Research interests span a wide range of technical domains including artificial intelligence, machine learning, computer vision, network security, medical imaging, and electrical engineering. Recent publications indicate active research in deep learning applications, image processing, trajectory analysis, and biomedical informatics. The publication output is substantial, with numerous papers appearing in IEEE Access, Pattern Recognition, and other high-impact journals. The research trends show a strong focus on practical AI applications across multiple domains, with particular emphasis on medical imaging, network security, and intelligent control systems. Many publications involve collaborative work with researchers across different institutions, indicating an active research network. While specific awards are not listed in the provided DBLP information, the volume and quality of publications suggest recognition within the academic community. The research output demonstrates expertise in both theoretical development and practical implementation of computational methods. Jian Chen appears to be actively mentoring students, as evidenced by the numerous collaborative publications, though specific student names aren't detailed in the DBLP records. The research spans both fundamental algorithm development and applied problem-solving across various engineering and computer science domains.

Pauline KamathView profile

Associate Professor

• Disease ecology and evolution
• Wildlife conservation
• Genomics
• +5 more

Dr. Pauline Kamath is an Associate Professor of Animal Health at the University of Maine's School of Food and Agriculture. She leads the Wildlife Disease Genetics Lab, focusing on infectious disease transmission dynamics and host-pathogen evolution using a One Health framework. Her research integrates genetic, ecological, and epidemiological data to address critical questions about disease spillover, host susceptibility, and eco-evolutionary drivers of pathogen spread. Key systems include Mycoplasma in caprids, anthrax in African zebras, and avian pathogens along migration routes. Dr. Kamath holds a Ph.D. from UC Berkeley (2011) and has mentored numerous students and postdocs. Her lab is located in Hitchner Hall, Orono, ME. Research Interests: Disease ecology and evolution Wildlife conservation genetics Genomics of pathogen transmission Zoonotic disease dynamics Microbiome interactions with pathogens Advising & Grants: Current students include PhD candidates Brigit Humphreys and Tegwin Taylor, and MS students Paula Castiblanco, Melissa Simon, Donne Sinderson, and Monica Miles. Recent grants support work on moose health, avian pathogens, and anthrax ecology. Lab collaborations span institutions like UC Berkeley, University of Pretoria, and the Wildlife Conservation Society. Labs/Teams: The Kamath Lab conducts fieldwork in North America, Africa, and Asia, combining genomic analyses with ecological studies. Ongoing projects include microbiome-pathogen interactions in migrating birds, anthrax dynamics in Namibia, and One Health approaches to domestic/wildlife interfaces.

Aleksandar KuzmanovicView profile

Professor

• Computer Networking
• Internet Protocols
• Network Security
• +4 more

Aleksandar Kuzmanovic is a Professor in the Department of Computer Science at Northwestern University, leading the Northwestern Networks Group. He holds a Ph.D. from Rice University (2005) and B.S./M.S. degrees from the University of Belgrade (1996/1999). His research focuses on computer networking, including denial-of-service resiliency, protocol design, and Internet-scale systems. Notable contributions include the TCP-LP protocol adopted in Linux, Explicit Congestion Notification (ECN) as an Internet standard, and denial-of-service defenses for Akamai’s CDN. He has over 60 publications in top venues such as SIGCOMM, NSDI, and IMC. Education: Ph.D., Electrical and Computer Engineering, Rice University (2005) M.S., Electrical Engineering, University of Belgrade (1999) B.S., Electrical Engineering, University of Belgrade (1996) Research Interests: Network protocols and congestion control Security and resiliency in distributed systems CDN optimization and edge computing Privacy-preserving network architectures Internet measurement and standardization Professional Activities: Visiting Professor at University of Electronic Science and Technology of China Steering Committee Member of Measurement Lab (Measurement Lab) Co-founder of bloXroute Labs, Inc. Awards: NSF CAREER Award (2008) Microsoft Trustworthy Computing Award (2006) Searle Junior Fellowship (2006) Rice Presidential Fellowship (1999) Teaching: EECS 110: Introduction to Computer Programming EECS 397/497: IoT Networks Seminar

Éva TardosView profile

Professor

• Algorithmic Game Theory
• Algorithm Design
• Applied Mathematics
• +3 more

Éva Tardos is the Jacob Gould Schurman Professor at Cornell University, affiliated with the Department of Mathematics and multiple colleges including the Cornell Ann S. Bowers College of Computing and Information Science, College of Arts and Sciences, and College of Engineering. Her research focuses on algorithm design, particularly in algorithmic game theory, networks, and combinatorial optimization. She explores mechanisms for selfish users, network efficiency, and distributed systems. Her work bridges theoretical computer science and economics, addressing challenges like congestion games, mechanism design, and social network influence. Key contributions include analyzing selfish routing's inefficiency, bounding equilibrium inefficiencies, and designing approximation algorithms for facility location and network design problems. Tardos collaborates extensively with top researchers in computer science and mathematics, contributing foundational insights into modern algorithmic theory. Research interests include algorithmic game theory , network optimization , mechanism design , and approximation algorithms . Recent publications emphasize social network dynamics, collusion effects in congestion games, and fair resource allocation strategies. Her work has practical applications in traffic routing, telecommunications, and distributed computing systems. While no specific awards are listed, her sustained contributions to theoretical computer science have established her as a leading figure in the field. Advising and mentoring are integral to her role, though specific advisee names are not documented here. She is actively involved in Cornell’s academic and research initiatives across multiple interdisciplinary domains.

Robert ShortenView profile

Professor

• Cyber-physical Systems
• Control Theory and Dynamics
• Smart Mobility and Smart Cities
• +8 more

Robert Shorten is a Professor of Cyber-physical Systems at the Dyson School of Engineering Design, Imperial College London, and Head of Department. He is affiliated with University College Dublin and co-founded the Hamilton Institute at Maynooth University. His research focuses on Smart Mobility, Control Theory, Hybrid Systems, Networking, Linear Algebra, Sharing Economy, and Distributed Ledgers. He led IBM Research's Control and Optimization Team and held professorships at UCD. Education and Professional Background: Shorten has held roles at IBM Research (Senior Research Manager) and academic appointments at multiple institutions. He co-authored books on AIMD dynamics, electric vehicle networks, and sharing economy analytics. His work integrates control theory with societal challenges like climate change and urban safety. Research Interests: His work spans cyber-physical systems, smart cities, epidemic mitigation strategies (e.g., via Kemeny constant sampling), and tyre emissions reduction. He collaborates with automotive firms and institutions like the Tyre Collective to address particulate pollution. Key projects include herd route safety systems and feedback control frameworks for urban traffic. Funding and Recognition: Supported by Science Foundation Ireland, Enterprise Ireland, and the European Commission. His work appears in venues like Nature Physics and Scientific American. Recent focus areas include EV charging optimization, distributed ledger security, and fair machine learning in energy markets. Labs and Teams: Leads the Centre for Sectoral Economic Performance (interim) and collaborates on projects like Spatial Positioning Tokens (SPTokens) for smart mobility. His interdisciplinary approach bridges engineering, environmental science, and public policy.