Find Academic Supervisors

• Quantum Computing
• Quantum Information Theory
• Quantum Error Correction
• +3 more

Harold OLLIVIER is a Researcher affiliated with the École Normale Supérieure (ENS) in Paris, France, and the INRIA Mathematics department . His research focuses on Quantum Information Theory , Quantum Computing , and Quantum Error Correction , with applications to secure delegated quantum computations, error mitigation, and foundational studies of quantum systems. He contributes to both theoretical advancements and practical implementations of quantum protocols, emphasizing verification and security in quantum networks. His work spans topics such as composably secure delegation of quantum computations, probabilistic error cancellation, and the role of coherence in quantum advantage. Notably, he has explored frameworks for quantum verification, unified protocol design, and the emergence of objectivity in quantum many-body systems. His research bridges theoretical insights with experimental feasibility, particularly in the NISQ (Noisy Intermediate-Scale Quantum) era. OLLIVIER collaborates with institutions like the Kastler Brossel Laboratory and the ENS Physics Department, contributing to advancements in quantum networking, error correction codes, and foundational quantum mechanics. His publications emphasize practical tools for optimizing quantum protocols and addressing challenges in real-world quantum systems.

• Programming Languages
• Type Systems
• Object-Oriented Programming
• +3 more

Ao.Univ.Prof. Dipl.-Ing. Dr.techn. Franz Puntigam is an Associate Professor at the Department of Compilers and Languages within the Faculty of Informatics at Technische Universität Wien. His research focuses on programming paradigms, type systems, object-oriented programming, and concurrent programming. He teaches courses such as Programming Paradigms, Type Systems, and Scientific Research and Writing. Dr. Puntigam’s work explores foundational aspects of programming languages, emphasizing concurrency and type system design. His research includes studies on synchronization mechanisms, contextual execution environments, and design methodologies for robotic software systems. His publications span topics like token-based synchronization, dynamic process types, and aliasing effects in object-oriented languages. He supervises numerous diploma and master’s theses on advanced topics such as concurrency in Java, type systems for configuration languages, and actor-based programming. His contributions to education and research are further reflected in his involvement with projects like migrating business software from VB to Java/Unix.

Xinyu LeiView profile

Assistant Professor

• Distributed Computing
• Mobile Computing
• Data Science
• +6 more

Xinyu Lei is an Assistant Professor in the Department of Computer Science at Michigan Technological University (MTU) , where he joined in Fall 2021. He earned his PhD in Computer Science and Engineering from Michigan State University (MSU) , advised by Prof. Guan-Hua Tu. Prior to MTU, he worked as a Research Assistant at Texas A&M University at Qatar (2013) and a Research Intern at Ford Motor Company (2017). University: Michigan Technological University Department: Computer Science Academic Rank: Assistant Professor PhD Institution: Michigan State University His research focuses on distributed computing , mobile systems , data science , and trustworthy machine learning , with particular emphasis on privacy-preserving protocols for IoT and blockchain technologies. His publications span top venues like ACM MobiCom , IEEE TDSC , and IEEE TIFS , addressing vulnerabilities in cellular IoT, secure blockchain protocols, and federated learning systems. Recent work includes privacy-preserving federated learning in 2023 (TIFS), secure redactable blockchain (TDSC), and IoT data heterogeneity handling (IoT-J). Earlier contributions in 2020-2021 explored Wi-Fi security for smart homes (MobiSys), encrypted geodata queries (ICDE), and Bitcoin payment protocols (CODASPY). Research Grants: NSF CRII: CNS-2153393 ($175K, Sole-PI) Professional Activities: Program Committee: CVPR'24, INFOCOM'24 TPC: BigDataService'20, Workshop Mobicom'19 Dr. Lei teaches graduate and undergraduate courses in applied cryptography (CS 5090), network security (CS/EE 4723), and computer security (CS 4471/5471) at MTU. He also contributes to academic community service through program committee roles at conferences like CVPR, INFOCOM, and WSDM.

Shruti TopleView profile

Researcher

• Systems Security
• Privacy
• Machine Learning
• +3 more

Shruti Tople is a Principal Researcher at Microsoft Research in the Azure Research – Security and Privacy group. She holds a Ph.D. from the School of Computing at the National University of Singapore (NUS) , where she received the Dean's Graduate Research Excellence Award . Her work focuses on quantifying and mitigating information leakage in machine learning models while preserving their utility. Key Research Areas include: Systems Security Privacy in Machine Learning Differential Privacy Causal Learning Transfer Learning for Vision & Language Models Recent Publications address challenges such as membership inference attacks, federated backdoor defense, and privacy-enhanced deep learning. Her open-source projects like Analyzing PII Leakage and RobustDG provide practical tools for differential privacy and domain generalization. She collaborates with interns from institutions like NUS , University of Waterloo , and Imperial College London . Scientific Awards : Dean's Graduate Research Excellence Award (NUS)

Steve GuengerichView profile

Associate Clinical Professor

• Entrepreneurship
• Innovation and Commercialization
• Business Innovation
• +11 more

Steve Guengerich is a Clinical Associate Professor at the Naveen Jindal School of Management, University of Texas at Dallas (UT Dallas), where he also serves as Associate Vice President for Innovation and Commercialization in the Office of Research. He previously held roles as Executive Director of the Institute for Innovation and Entrepreneurship (2017–2019), Senior Advisor for Innovation & Commercialization (2019–2020), and faculty in the Digital MBA program. He was also an Adjunct Professor at St. Edward's University from 2011 to 2016. Education: Masters of Business Administration - Business Computing Science, Texas A&M, College Station (1982) Bachelors of Science - Economics, Academy of Freedom, Howard Payne University (1980) Associates of Science - Liberal Arts, Amarillo College (1978) His research and professional interests focus on entrepreneurship, innovation, technology commercialization, and strategic community engagement. He has extensive experience in venture development, startup mentoring, and information technology innovation. Guengerich has taught courses such as New Venture Creation, Branding and Promotion, Global Business, and MBA Capstone, shaping future business leaders through practical, real-world insights. His authored or co-authored books reflect a strong trend in bridging technology and business innovation, with themes around startup success, information systems optimization, and socially responsible business practices. These works demonstrate a consistent focus on empowering entrepreneurs and improving organizational effectiveness through technology and strategic thinking. Scientific Awards: IT Community Leadership Award (2011) Dewey Winburne Community Service Award (2005) Austin Under 40 Award (1998) SME Gold Medal for 'Introduction to Client/Server Computing' Recognized as 'Master Mind' by Dallas Innovates (2018) Guengerich has played a significant role in advising startups and fostering innovation ecosystems. He has mentored at Capital Factory, Chinaccelerator, and Mission Capital, and judged numerous venture competitions including the UT Dallas Big Idea Competition. He led the successful $5 million statewide grant to expand the Blackstone LaunchPad network across the University of Texas System. His leadership in research commercialization and innovation programs highlights his commitment to translating academic research into real-world impact. He is actively involved in nonprofit and philanthropic efforts, including co-founding Knowbility and supporting arts initiatives such as the premiere of Nico Muhly’s 'How Little You Are' and Amy Bench and Jenn Wilson’s 'The Rhumb Line'. His work in accessibility and community engagement underscores a holistic approach to innovation that includes social impact.

Ivana Podnar ŽarkoView profile

Professor

• Internet of Things (IoT)
• Distributed Ledger Technology
• Semantic Interoperability
• +4 more

Full Professor at the Department of Telecommunications, Faculty of Electrical Engineering and Computing, University of Zagreb. Active in research areas spanning Internet of Things , Distributed Ledger Technology , and Smart City Systems . Key projects include IoT-edge-cloud continuum optimization, precision agriculture implementations, and DLT security frameworks. Research Focus includes semantic interoperability for IoT platforms, adaptive edge computing architectures, and blockchain applications in energy systems. Publications emphasize QoS-aware IoT services, nitrogen deficiency detection in crops, and mobile crowd-sensing ecosystems. Technical Contributions cover container orchestration tools for edge environments, federated learning optimization, and indoor location-aware device control. Current work examines security protocols for MQTT in precision agriculture and publish/subscribe middleware for cloud-based IoT. Collaborative Initiatives involve the symbIoTe project for semantic interoperability, CUPUS middleware development, and AlvisP2P search engine optimization. Development of context-aware services for smart campus environments using Home Assistant platform and Node-RED.

• Computer Science
• Networking
• Quality of Experience (QoE)
• +5 more

Brecht Vermeulen is a Postdoctoral Researcher at Ghent University's Faculty of Engineering and Architecture, Department of Information Technology. He works within the Internet Technology and Data Science Lab, focusing on networking, video quality assessment, and energy-efficient systems. Research Areas: Quality of Experience (QoE), Dynamic Spectrum Sharing, Video Coding, Interoperability Testing, Federated Experimentation. Key Collaborations: IMEC, FIRE initiative, EU-US/South Korea partnerships. Research Focus: Vermeulen's work spans scalable video coding, distributed CORBA monitoring, and energy efficiency in telecommunications. He applies genetic programming to video quality metrics and explores AI-driven radio systems for spectrum sharing. Publication Trends: His recent articles address zero vulnerability computing hypotheses, healthcare robotics during pandemics, and federated testbed architectures. Earlier works focus on QoE for video, thin client power efficiency, and tunnel setup mechanisms.

Varghese JacobView profile

Professor

• Information Systems
• Management Information Systems
• Operations Research
• +11 more

Varghese Jacob is a Professor of Management Information Systems and holds the Ashbel Smith Professor and Lars Magnus Ericsson Chair titles at the Naveen Jindal School of Management, University of Texas at Dallas. He has served in key administrative roles including Senior Associate Dean since 2002 and previously as Associate Dean (1999–2002). Prior to joining UTD, he was an Associate Professor at The Ohio State University's College of Business. Ph.D. in Management, Purdue University (1986) M.S. in Physics, Indian Institute of Technology (Delhi) (1980) His research spans Information Systems, Operations Research, and Artificial Intelligence , focusing on data mining, dynamic pricing, software requirements, and group decision support. He explores how data reduction techniques, neural networks, and incentive structures impact business systems. His work integrates technical modeling with behavioral and strategic considerations in IT adoption and e-commerce. His recent publications highlight consistent contributions to top-tier journals such as Management Science , Information Systems Research , and European Journal of Operational Research . The research trends show a strong focus on data quality, transaction analysis, IT strategy, and open-source collaboration , with methodological diversity spanning empirical studies, optimization models, and experimental designs. Ashbel Smith Professor Lars Magnus Ericsson Chair Dr. Jacob has co-chaired four Ph.D. dissertations and served on multiple dissertation committees. He has secured research funding from organizations such as JETRO, Ameritech Foundation, and internal university grants, supporting work in e-commerce, genetic algorithms, and telecommunications. His leadership in accreditation (AACSB) and academic policy at UTD underscores his institutional impact. He has been actively involved in executive education, organizing and teaching programs on object-oriented systems, internet business, and client-server computing. His professional affiliations include the Association for Information Systems (AIS), INFORMS, IEEE Computer Society, and ACM, reflecting his interdisciplinary engagement.

Ian LaneView profile

Associate Professor

• Natural Language Processing
• Speech Recognition
• Machine Translation
• +5 more

Ian Lane is an Associate Professor in the Computer Science and Engineering Department at the University of California, Santa Cruz's Baskin Engineering school, serving as Program Director for the Natural Language Processing Professional Master's Degree Program. He joined UCSC in Fall 2022 after an extensive career spanning academia and industry. His research centers on computational systems that understand spoken human language, spanning speech recognition, transcription, meaning interpretation, and contextually appropriate responses. Key research areas include: Natural Language Processing for real-world applications Conversational AI systems development Speech-to-speech translation technologies Multimodal interaction (audio-visual integration) Language technologies that learn through real-world interaction His recent publications demonstrate strong focus on hallucination detection in LLMs, tabular data understanding, explainable AI, and robust speech recognition systems. Current work emphasizes "in the wild" language technologies that adapt through user interaction. Dr. Lane has received recognition through impactful industry applications including Jibbigo (the first mobile speech translation app) and military translation systems deployed in Iraq and Afghanistan. He actively mentors students and collaborates across UCSC's Silicon Valley Campus programs including Games and Playable Media and Human-Computer Interaction. His vision includes integrating NLP with virtual environments for language learning and skill acquisition.

• Federated Learning
• Explainable AI
• Clinical Decision Support Systems
• +3 more

Christoph Düsing is a researcher at the Semantic Databases Group within the Faculty of Engineering at Universität Bielefeld . He also contributes to the Center for Cognitive Interaction Technology (CITEC) and provides academic advising for the Master Data Science program at the Faculty of Business Administration and Economics . Research Interests: Federated Learning and distributed AI systems Explainable AI (XAI) for clinical applications Clinical Decision Support Systems for sepsis treatment Graph Neural Networks for social influence modeling Data imbalance and client contribution analysis in collaborative AI Impact of AI on labor market dynamics Recent Publications focus on federated learning applications in healthcare, explainability mechanisms, and graph-based AI solutions. Key themes include sepsis management, antibiotic therapy optimization, and social commerce platform analysis. Labs & Collaborations: Semantic Databases Group, Faculty of Engineering Center for Cognitive Interaction Technology (CITEC) Interdisciplinary projects with healthcare institutions

• Additive Manufacturing
• CAD/CAM
• Computational Geometry
• +3 more

Ulaş Yaman is an Associate Professor in the Department of Mechanical Engineering at Middle East Technical University (METU) in Ankara, Turkey. He received his B.Sc. in Mechanical Engineering (2007), M.Sc. in Mechanical Engineering (2010), and Ph.D. in Mechanical Engineering (2014) from METU, with a minor in Mechatronics. His academic career includes roles as a Visiting Assistant Professor at Purdue University (2014-2015) and research positions at METU. His research specializes in additive manufacturing, CAD/CAM systems, computational geometry, and embedded control systems. Key areas include 3D printing optimization, FDM process enhancements, CNC command generation, and hybrid manufacturing technologies. Recent work explores Industry 4.0 integration, structural optimization for 3D-printed artifacts, and novel fabrication pipelines like LIPRO. Yaman's publications demonstrate strong focus on manufacturing innovations, with recurring themes in real-time command generation, material behavior in 3D printing, geometric algorithms for production, and educational tools for control engineering. His work frequently combines hardware implementation with computational efficiency. Scientific Awards: BEST PAPER AWARD - IEEE 8th Workshop on Intelligent Solutions in Embedded Systems (2010) Research Grants: TÜBİTAK 1001: A Smart- and Hybrid Manufacturing System Utilizing Additive Manufacturing Methods and Machining (2017-2020) TÜBİTAK 3001: A Novel Design and Fabrication Pipeline for 3D Printers: LIPRO (2017-2018) ODTÜ-BAP: Improving the Dimensional Accuracy of 3D Printed Artifacts (2016) He leads the Laboratory for Intelligent Production Systems (LIPRO) with six research assistants, focusing on additive manufacturing, computational geometry, and embedded systems. Current projects include developing multi-axis hybrid manufacturing systems and novel CAD/CAM architectures.

• Knowledge Graphs
• Semantic Web
• Machine Learning
• +4 more

Prof. Dr. Axel Cyrille Ngonga Ngomo is a Professor at the University of Paderborn, affiliated with the Faculty of Electrical Engineering, Computer Science and Mathematics. He serves as the leader of the Data Science group at the Heinz Nixdorf Institute and the Informatik Rechnerbetrieb (IRB) unit. His primary research focuses on Knowledge Graphs, Semantic Web technologies, and Machine Learning applications in data science. University of Paderborn Faculty of Electrical Engineering, Computer Science and Mathematics Data Science / Heinz Nixdorf Institute Informatik Rechnerbetrieb (IRB) His research spans automated knowledge extraction, description logic learning, and explainable AI systems through dynamic data federation. Recent work explores convolutional embeddings for complex knowledge graphs and adaptive retrieval augmented generation architectures. Current projects include SAIL (Sustainable Life Cycle of Intelligent Sociotechnical Systems), TRR 318 (Constructing Explainability), Colide (Co-training and co-regulation for industrial data), 3DFed (Dynamic Data Distribution and Federation), and SFB 901 (On-The-Fly Computing). Contact details include offices at Fürstenallee 11 (Room F1.225) and Technologiepark 6 (Room TP6.3.106) in Paderborn, Germany. Consultation hours are available by appointment.

Charles E. WoodwardView profile

Professor

• Infrared and optical–ultraviolet astrophysics
• Interstellar and circumstellar dust
• Nova explosions and nucleosynthesis
• +3 more

Charles E. "Chick" Woodward is Full Professor of Astronomy in the School of Physics and Astronomy at the University of Minnesota , and a core faculty member of the Minnesota Institute for Astrophysics (MIfA). He serves as Program Director for the University of Minnesota– Large Binocular Telescope (LBT) / Steward Observatories partnership, Vice-Chair of the LBT Observatory Board of Directors, and Associate Director of the MLOF & OBO observatories. Additional affiliations include membership in the Large Binocular Telescope Observatory (LBTO) consortium. Education: Ph.D. in Physics and Astronomy, University of Rochester, 1987 M.A. in Physics, University of Rochester, 1982 A.B. in Physics, Dartmouth College, 1980 Research Interests: Woodward is an international authority on XUVOIR (X-ray–UV–Optical–IR) observational astrophysics . His work addresses the physics of interstellar and circumstellar dust grains , the energetic and chemical evolution of classical nova explosions , the life cycles of evolved stars , and the thermal and compositional behaviour of comets and small Solar-System bodies . A parallel strand of research involves telescope and instrumentation development , including leadership roles in Spitzer Space Telescope legacy science planning, SOFIA airborne observatory utilisation, and interferometric exoplanet surveys with the LBT Interferometer . Recent Publication Themes (2010–2011): Recent refereed works demonstrate a breadth of inquiry spanning high-redshift galaxy spectroscopy, detailed mid-infrared analyses of cometary fragments, chemical and dust evolution in novae, multi-epoch studies of supernova remnants, and large-scale infrared surveys of evolved stellar populations and asteroids. Honours & Awards: National Science Foundation – White House Presidential Faculty Fellow National Science Foundation – Young Investigator Award Smithsonian Institution Faculty Fellow – Air & Space Museum Ford Foundation Minority Fellow Multiple University of Wyoming teaching awards (1992–1999) Advising, Grants & Infrastructure: Woodward currently mentors one post-doctoral researcher, two graduate students, and three undergraduates within the Minnesota Infrared Lab . Research is supported competitively by the NSF and NASA . The group operates a dedicated 30 TB data server and over 15 client workstations, maintained by an in-house systems administrator, for intensive data reduction and remote telescope control. Labs, Teams & Facilities: The Minnesota Infrared Lab serves as the primary research unit. Extensive access is provided to the Spitzer and SOFIA archives, the Large Binocular Telescope , Gemini Observatory , Steward Observatory facilities, and future James Webb Space Telescope programs. Woodward is also a member of the exoplanet-imaging LEECH collaboration using the LBT Interferometer .

Youcef DerbalView profile

Associate Professor

• Complex Adaptive Systems
• Cancer Modeling
• Machine Learning in Oncology
• +4 more

Dr. Youcef Derbal is an Associate Professor in the Department of Information Technology Management at Toronto Metropolitan University's Ted Rogers School of Information Technology Management. With a Ph.D. in Electrical and Computer Engineering from Queen's University, he brings extensive industry experience from robotics, telecommunications, and software sectors to his academic work. His research focuses on Complex Adaptive Systems, particularly in modeling cancer dynamics through agent-based simulations, machine learning applications for oncology, and computational frameworks for biological processes. Key research areas include tumor dynamics, cell signaling pathways, and tumor-infiltrating lymphocyte recruitment. Dr. Derbal teaches undergraduate courses in business information systems, programming, system analysis, database design, and client-server applications, along with graduate-level advanced project management. His publication record shows consistent output in computational biology, cancer modeling, and grid computing since 2006. Professional affiliations include: Association for Computing Machinery (ACM) Institute of Electrical and Electronics Engineers (IEEE) International Society for Computational Biology (ISCB) Administrative contributions include service on University Senate, chairing multiple departmental committees, leading the Business Technology Management curriculum development (2009-2014), and serving as School Director during 2013/2014.

Alexander BolotovView profile

Professor

• Automated Reasoning
• Graph-Based Reasoning
• Formal Methods
• +13 more

Alexander Bolotov is a Professor at the University of Westminster's School of Computer Science and Engineering, where he serves as the Software Systems Engineering Research Group Leader and the Doctoral Researchers Development Programme Coordinator. He teaches Level 4 Mathematics for Computing and Level 5 Software Engineering Principles and Practice modules. His research spans Automated Reasoning, Graph-Based Reasoning, Specification and Verification of Complex Reactive, Concurrent and Distributed Systems, Formal Methods in Software Engineering, Logic, Temporal Logic, Proof Theory, On-Line Knowledge Repositories, and Ontologies. His expertise includes Formal Methods, Mathematical Modelling, Software Architecture, Program Reasoning and Logic Engineering. His recent publications demonstrate a strong focus on branching-time temporal logics, formal verification methods, ontology-based e-learning platforms, and applications in digital health evidence generation. His work bridges theoretical computer science with practical applications in healthcare, finance, and educational technology. Bolotov has successfully secured multiple research grants including Innovate UK projects RADIANT Implementation and RADIANT: Regulatory Science Empowering Innovation in Transformative Medical Software and AI, as well as funding from the Alan Turing Institute for developing frameworks for literature evaluation. He actively supervises doctoral students working on topics including ontology-driven frameworks for system integration, rich web applications, cloud computing load balancing, wireless sensor networks, and semantic selection of internet sources. His research group is involved with the Distributed and Intelligent Systems, Software Systems Engineering, and Centre for Parallel Computing.