Find Academic Supervisors

• Biomedical Informatics
• Healthcare Data Management
• Clinical and Translational Research
• +3 more

Andrew R. Post, MD, PhD, is a Clinical Associate Professor in the Department of Biomedical Informatics at the University of Utah School of Medicine and Director of Research Informatics at Huntsman Cancer Institute (HCI). He specializes in healthcare data management, software engineering, and data warehousing for translational research. His work focuses on simplifying access to electronic health record (EHR) data for cancer and disease studies, and he leads HCI's Research Informatics Shared Resource, which supports data management systems across genetic testing to population-level data. Previously, he held leadership roles at Emory University, including informatics director for the Georgia CTSA and All of Us Research Program. Education: MD - University of Pennsylvania School of Medicine PhD - University of Pittsburgh MS - University of Pittsburgh Bachelor of Arts - University of Pennsylvania His research emphasizes self-service EHR data access for population studies and systems architectures for clinical research. Over 15 years, he has developed software solutions to streamline data use in oncology and other disciplines. Publications highlight innovations in data warehousing, EHR integration, and temporal abstraction methods. His work bridges technical informatics with clinical practice, addressing challenges in data interoperability and scalability. Projects include optimizing data loading processes for i2b2 platforms and designing privacy-preserving data release systems.

George C. AlexandropoulosView profile

Associate Professor

• Wireless Communication Systems
• Signal Processing
• Algorithmic Design
• +9 more

George C. Alexandropoulos George C. Alexandropoulos is an Associate Professor at the Department of Informatics and Telecommunications, School of Sciences, National and Kapodistrian University of Athens (NKUA). He also holds an adjunct professorship at the University of Illinois Chicago. His research focuses on wireless communication systems, signal processing, and reconfigurable intelligent surfaces (RIS), with contributions to integrated sensing and communications (ISAC), millimeter-wave/THz systems, and distributed machine learning. Education Ph.D. in Computer Engineering and Informatics, University of Patras, Greece (2010) M.A.Sc. in Signal and Communications Processing Systems, University of Patras, Greece (2005) Engineering Diploma (5 years), Computer Engineering and Informatics, University of Patras, Greece (2003) Research Interests Alexandropoulos' work spans algorithmic design for wireless networks, optimization of multi-antenna systems, and full-duplex radios. He is particularly known for pioneering contributions to reconfigurable metasurfaces, including their application in ISAC and 6G networks. His research emphasizes practical implementations, such as prototypes for AoA estimation and field trials for RIS deployment. Articles His publications highlight advancements in secure ISAC, fluid RIS design, and edge-intelligence networks. Recent work explores challenges in THz RIS hardware and OTA edge inference using metasurface-integrated neural networks. Scientific Awards IEEE ComSoc Leonard G. Abraham Prize (2024) IEEE Marconi Prize Paper Award (2021) NKUA Research Excellence Award (2023-2024) Advising & Grants Alexandropoulos has led several EU and industry projects, including contributions to Huawei's 5G standards and TII's AI research. His work often involves interdisciplinary teams and practical prototyping. Labs & Teams He is affiliated with the Communications and Signal Processing division at NKUA and collaborates with institutions like ATHENA Research Center and the Technology Innovation Institute (Abu Dhabi).

Tim CurryView profile

Assistant Professor

• Optimization
• Cybersecurity
• Computer Science
• +2 more

Tim Curry is an Assistant Professor at the University of Connecticut (Storrs Campus). His research focuses on Optimization and Cybersecurity , particularly in network systems and computational methods. Recent research trends include: Developing hybrid optimization frameworks for secure virtualized networks Advancing constraint programming applications in cybersecurity Designing dynamic configuration algorithms for Software-Defined Networks (SDN) Integrating attack graph analysis with network defense strategies His work intersects Computer Science , Network Engineering , and Operations Research , with publications emphasizing formal verification, algorithm design, and security automation in networked systems.

Joshua DehlingerView profile

Associate Professor

• Software Engineering
• Requirements Engineering
• Software Safety
• +3 more

Joshua Dehlinger is an Associate Professor in the Department of Computer and Information Sciences at Towson University's Fisher College of Science and Mathematics. He holds a Ph.D. in Computer Science from Iowa State University and previously served as a Research Associate at the University of Virginia. Dehlinger's research focuses on software engineering methodologies, including requirements engineering, software safety assurance, and product line engineering. He has developed research tools including SSVChecker for vulnerability analysis and PLFaultCAT for fault tree analysis in safety-critical systems. His teaching includes Software Engineering, Software Testing and Maintenance, Mobile Application Development, and coordination of the department's internship program. Dehlinger has secured multiple NSF grants including funding for revitalizing computer science curricula and scholarship programs.

Abdussalam SalamaView profile

Lecturer

• Network Security
• IoT Security
• Cloud Security
• +4 more

Dr. Abdussalam Salama is a Lecturer in Computer Networks and Cybersecurity at Sheffield Hallam University's School of Computing and Digital Technologies. He holds a PhD in Computer and Communication Networks (2020) and industry certifications such as CCNP and CCSP. His expertise spans network security, IoT security, cloud security, and Quality of Service (QoS) in wireless networks. He actively contributes to EU-funded projects like Digital Innovation for Growth (DIfG), focusing on SME digital transformation. Education: PhD in Computer and Communication Networks, Sheffield Hallam University (2020) MSc Telecommunication and Electronic Engineering, Sheffield Hallam University (2015) BSc Electrical and Electronic Engineering, University of Tripoli (2001) Research Interests: Network security, IoT security, cloud security, QoS/QoE optimization, Software-Defined Networks (SDN), and eHealth applications. He leads projects on SASE/SD-WAN for SMEs and adaptive eHealth systems. Collaborations: EU-funded Digital Innovation for Growth (DIfG) project Rotherham Foundation Trust - NHS for eHealth applications Awards: Fellow of the Higher Education Academy (FHEA) Member of the Institute of Engineering and Technology (MIET) Grants/Postgraduate Supervision: Supervises doctoral researchers in network security, cloud computing, and SASE architectures. Manages projects funded by EU initiatives and industry partnerships. Labs/Teams: Member of RIKE and ERCIF groups, collaborating on applied research and industry partnerships.

Jeremy BradburyView profile

Associate Professor

• Software Engineering
• Software Quality Assurance
• Testing and Analysis
• +7 more

Jeremy Bradbury is an Associate Professor in the Faculty of Science at Ontario Tech University, where he has served as Undergraduate and Graduate Program Director for Computer Science and as a member of the Board of Governors. His research focuses on software testing, analysis, and quality assurance, with a particular emphasis on human-centered approaches, empirical methodologies, and concurrency issues in software systems. He leads the Software Quality Research Lab (SQRLab) and develops tools like PIE for visualizing software design patterns and GidgetML for adaptive educational gaming. Education: PhD in Computer Science from Queen's University (2007). Research interests include software visualization, open-source software analysis, flaky test detection, and the application of machine learning to software engineering challenges. His work spans both academic contributions (e.g., combinatorial testing frameworks) and practical innovations like the Run, Llama, Run game for computational thinking education. Recent work explores AI-driven bug prediction, data augmentation bias in ML models, and cybersecurity for connected autonomous vehicles. He has organized workshops on testing configurable systems (ToCaMS) and challenges in parallel computing.

Holger H. HoosView profile

Professor

• Algorithmics
• Bioinformatics
• Computational Intelligence
• +9 more

Holger H. Hoos is a Professor at the University of British Columbia's Computer Science Department, affiliated with the Institute for Computational Intelligence and Cognitive Systems (ICICS) and the Peter-Wall Institute for Advanced Studies. As of 2017, his primary affiliation shifted to Leiden University (Netherlands), though he remains connected to UBC. His research focuses on algorithmics, bioinformatics, computational intelligence, and computer music, with significant contributions to stochastic local search, empirical algorithmics, and SAT solving. Education: Ph.D. (Dr.rer.nat) in Computer Science from TU Darmstadt (1998), postdoctoral fellow at UBC. He has led the BETA Lab and SALIERI Project, exploring biomolecular structure prediction and music algorithms. Research interests span stochastic algorithms, RNA structure prediction, automated algorithm configuration, and interdisciplinary applications like flow cytometry analysis. His work bridges theoretical foundations with empirical methods, emphasizing practical problem-solving. Awards include the AAAI Fellowship, multiple best paper awards (GECCO 2020, IJCAI-JAIR 2010), and leadership roles in conferences like AAAI and LION. He has advised over 30 students, contributing to impactful projects in bioinformatics and AI. Labs/Teams: Founder of the BETA Lab (Bioinformatics, Theoretical and Empirical Algorithms), member of the Laboratory for Computational Intelligence (LCI), and collaborator on SALIERI (Computer Music).

Arash ShaghaghiView profile

Senior Lecturer

• Cybersecurity
• Internet of Things (IoT) Security
• Zero Trust Architecture
• +4 more

Arash Shaghaghi is a Senior Lecturer in Cyber Security and Acting Director of Online Education at the School of Computer Science and Engineering (CSE) at UNSW Sydney. Previously affiliated with RMIT University, Deakin University, Data61 CSIRO, The University of Melbourne, and The University of Texas at Dallas, he holds a PhD in Computer Science and Engineering from UNSW Sydney, an MSc in Information Security from University College London, and a BSc with Distinction from Heriot-Watt University. His research spans cybersecurity with emphasis on IoT security, zero trust architecture, blockchain applications, and posthumous data management. With over 1.7 million AUD in research funding as Lead CI/CI, his work addresses critical challenges in intelligent transport systems, quantum-safe security, and digital legacy solutions. He serves as Associate Editor for the Journal of Ad Hoc Networks and reviews for top conferences including NDSS and IEEE S&P. His 15 most recent publications demonstrate expertise in IoT security frameworks, digital will solutions, encrypted traffic analysis, and vulnerability prediction models. These works appear in premier venues like IEEE TDSC, IEEE S&P, and ACM WWW, reflecting his leadership in solving practical security challenges for emerging technologies. Early Career Academic Excellence Award (Research), UNSW Engineering, 2024 Educational Excellence & Innovation Award, UNSW Engineering, 2023 Heidelberg Laureate Forum Selection (Top 200 young scientists), 2023 Best Demo Award, IEEE LCN Conference, 2020 As an award-winning educator, Shaghaghi leads UNSW's Master of Cyber Security online programs and previously directed Deakin University's Graduate Certificate in Information Technology. His research team includes postdocs, software developers, and 3 current PhD students. He actively engages with media outlets including ABC and The Guardian on cybersecurity topics, particularly digital legacy management and IoT security.

Andrew GilbertView profile

Associate Professor

• Computer Vision
• Machine Learning
• Generative Modelling
• +6 more

Dr. Andrew Gilbert is an Associate Professor in Machine Learning at the University of Surrey, co-leading the Centre for Creative Arts and Technologies (C-CATS). His work bridges computer vision, generative AI, and creative industries, focusing on interpretable and human-centered systems. He leads a multidisciplinary team of 17 PhD students and has published over 100 papers in top venues like CVPR, ECCV, and BMVC. Education & Research: Gilbert earned his PhD in Computer Vision from the University of Surrey (2008) and has pioneered advancements in video understanding, style modeling, and AI-driven media production. His research integrates technical innovation with creative applications, such as AI-generated narratives and blockchain-based content rights. Research Trends: Recent work emphasizes long-term video analysis (DANTE-AD), motion-focused self-supervision (MOFO), and human-AI benchmarking (Human vs. Machine Minds). His projects often involve industry partnerships to address real-world challenges in media production and digital arts. Achievements: Best Paper at CVMP 2023, active BMVA committee member, and contributor to standards in explainable AI. His lab’s annual Gilbertine Weekend Away fosters collaborative research culture. Advising: Supervised 14 PhD completions, with ongoing projects in video diffusion models, decentralized content rights, and multimodal scene understanding. Seeks exceptional candidates for funded UK-based PhD opportunities. Key Labs: C-CATS lab explores AI’s creative applications, while his group develops tools for style transfer (NeAT), action recognition, and 3D performance capture.

Anton WibergView profile

Assistant Professor

• Additive Manufacturing
• Materials Science
• Design Automation
• +4 more

Anton Wiberg is an Assistant Professor at Linköping University, affiliated with the Department of Management and Engineering (IEI). His work focuses on advancing additive manufacturing technologies, design automation, and interdisciplinary applications in aerospace and biomedical engineering. He leads research in the Automation Lab and contributes to the Product Realisation (PROD) unit, emphasizing innovation in manufacturing processes and materials science. Research interests include electron beam powder bed fusion (PBF), thermal management systems for aircraft, and ontology-driven manufacturing standards. His recent work explores AI integration in aircraft design and 3D-printed medical devices. Notable publications address scan strategy optimization in stainless steel AM, NbC material processing, and ontology frameworks for additive manufacturing processes. Wiberg collaborates on student projects like developing space-resistant devices and voice-controlled prosthetics, showcasing his commitment to practical, innovative solutions. His research bridges theory and application, with a focus on sustainable manufacturing, digital twin technologies, and automation in brownfield factories. Professional activities include advancing design methodologies for engineer-to-order systems and optimizing hydraulic pump components via additive manufacturing. His contributions aim to enhance efficiency and customization across industries, from aerospace to healthcare.

Azer BestavrosView profile

Professor

• Networking
• Distributed Systems
• Cloud Computing
• +6 more

Azer Bestavros is a Professor and Associate Provost for Computing & Data Sciences at Boston University, affiliated with the Department of Computer Science within the Arts & Sciences School. He joined BU in 1991 after earning his PhD from Harvard. His research focuses on networking, distributed systems, cloud computing, and cybersecurity, with notable contributions to web content distribution models, cloud resource management, and privacy-preserving analytics. He led the establishment of the BU Hariri Institute for Computing and the Open Cloud Exchange initiative to advance cloud marketplaces. Education: PhD in Computer Science from Harvard University. Research Interests: His work integrates technical and policy dimensions, addressing challenges in secure multiparty computation, formal methods for network verification, and interdisciplinary applications of computing. Recent projects include frameworks for privacy-preserving analytics and mechanisms for efficient cloud resource allocation. Grants & Advising: Advised 16 PhD students, contributed to 6 patents, and spun off 3 startups. His research has yielded over 13,000 citations and informs policy through initiatives like the Cloud Computing Caucus. Labs & Teams: Spearheaded the Hariri Institute’s cloud computing, big data, and cybersecurity programs. Currently oversees the Faculty of Computing & Data Sciences, fostering interdisciplinary collaboration across BU.

• Theoretical Chemistry
• Computational Science
• Physical Chemistry
• +3 more

Prof. dr. H.B. (Ria) Braam is a Professor in Theoretical Chemistry at the University of Groningen, affiliated with the Zernike Institute for Advanced Materials within the Faculty of Science and Engineering. Her research focuses on computational and theoretical methods to study molecular electronic structure, with a particular emphasis on non-orthogonal configuration interaction (NOCI) for large molecular systems. She leads projects on singlet fission, exciton dynamics, and electronic coupling in organic materials. Her expertise includes quantum chemistry, molecular modeling, and high-performance computing. Key contributions include the development of the GronOR software for NOCI calculations and studies on dielectric properties of organic semiconductors. Braam holds additional roles such as Member of the FWO Chemistry Committee and Editorial Board of the International Journal of Quantum Chemistry. Recent research highlights include advancements in NOCI methodologies for singlet fission mechanisms, triplet diffusion in molecular materials, and computational strategies for energy transport. Her work bridges fundamental theory with applications in materials science and photovoltaics.

Håvard ArnestadView profile

Research Fellow

• Acoustics
• Signal Processing
• Numerical Simulations
• +3 more

Håvard Arnestad is a Research Fellow at the University of Oslo's Department of Informatics, affiliated with the Faculty of Mathematics and Natural Sciences. He is part of the Digital Signal Processing and Image Analysis (DSB) research group and serves as a Group Teacher and Lecturer for the course 'Ultrasound imaging' (IN3015/IN4015). He organizes a bi-weekly journal club focusing on acoustic imaging advancements in sonar and medical ultrasound. Education: Håvard holds a Master's in Engineering Physics from NTNU (Trondheim), specializing in acoustics. His work experience includes roles at NEO (spectroscopy), CERN (superconducting magnet testing), and Cisco (acoustics/audio engineering). Research interests span three core areas: classical/adaptive beamforming, interval arithmetic for beampattern analysis, and subsonic radiation from leaky Lamb waves. His work challenges conventional acoustics assumptions and explores applications in medical ultrasound and sonar systems. Key collaborators include Ole Marius Rindal, Andreas Austeng, Sven Peter Näsholm, and Gabor Gereb. Upcoming conferences include the 2025 Scandinavian Symposium on Physical Acoustics (Geilo), Northern Lights Deep Learning Conference (Tromsø), and the Acoustical Society of America meeting (New Orleans). Past engagements include international symposiums in Germany, Canada, Italy, and the UK. His advising includes MSc students Helene Wold (now at Sonitor) and Chaoran Han (now a PhD candidate). He maintains active profiles on Google Scholar, ResearchGate, ORCID, and LinkedIn, contributing to interdisciplinary research at the intersection of acoustics, signal processing, and numerical simulations.

Dejan KosticView profile

Professor

• Distributed Systems
• Computer Networks
• Operating Systems
• +6 more

Dejan Kostic is a Chair Professor of Internetworking at KTH Royal Institute of Technology, leading the Networked Systems Laboratory. He is affiliated with RISE Research Institutes of Sweden and the Wallenberg AI, Autonomous Systems and Software Program (WASP). His research focuses on distributed systems, computer networks, operating systems, and machine learning applications in networking. Education: Ph.D. in Computer Science, Duke University M.S. in Computer Science, University of Texas at Dallas B.S. in Computer Engineering, University of Belgrade Research Interests: His work spans distributed systems , high-performance networking , smartNIC offload , AI-driven systems , and network function virtualization (NFV) . Recent projects include energy-efficient AI inferencing (Wallenberg Scholar Project) and scalable federated learning for healthcare applications. Key contributions include the PacketMill framework, FAJITA stateful processing, and the LineFS distributed file system. Publications & Awards: ERC Starting (2010) and Consolidator (2018) Awards Wallenberg Scholar (2024) Best Paper at SOSP 2021 and Community Award at NSDI 2022 Advising & Grants: Supervised over 15 doctoral students, including notable alumni like Hamid Ghasemirahni and Alireza Farshin. Leads projects funded by ERC, WASP, and Swedish Research Council (VR). Active in grant review panels for ERC and Swedish Foundations. Labs & Teams: Heads the Network Systems Laboratory (NSLab) at KTH, collaborating with Ericsson and RISE on industrial projects. Key initiatives include the Networked Systems for Machine Learning course and the Connected Intelligence unit at RISE.

Stefan ReifView profile

Researcher

• Energy-Aware Systems
• Parallel Systems
• Operating Systems
• +3 more

Dr.-Ing. Stefan Reif is a Researcher at the Department of Computer Science 4 (Systems Software) at Friedrich-Alexander-Universität Erlangen-Nürnberg. His research focuses on Energy-Aware Systems and efficient, scalable Parallel Systems, with a particular emphasis on Operating Systems, Real-Time Systems, and Network Latency optimization. He is involved in projects such as LARN (Latency- and Resilience-Aware Networking) and PAX (Power-Aware Critical Sections), funded by the German Research Foundation (DFG). His academic activities include reviewing for top conferences like EMSOFT, EuroSys, and ISORC. Teaching contributions include courses on Concurrent Systems. Supervised theses include work on energy implications of security mitigations (Meltdown/Spectre), system-call aggregation, and energy-demand estimation for neural networks. Publications highlight innovations in energy-efficient OS configurations, cross-layer pacing for edge systems, and synchronization algorithms for real-time multi-core systems. Key research tools include the NEON middleware and ANTILLAS benchmarking framework.