Find Academic Supervisors

• Computer Vision
• Artificial Intelligence
• Robotics
• +7 more

Christopher McCarthy is an Associate Professor in the Department of Computing Technologies within the School of Science, Computing and Emerging Technologies at Swinburne University of Technology. His research focuses on computer vision algorithms applied to robotics, intelligent transport systems, and assistive technologies, particularly for people with low vision. He serves as Stream Leader in Swinburne’s Innovative Planet Research Institute, leading the Intelligent Transport stream, and is a Chief Investigator in the Australian Cobotics Centre funded by the ARC. He has held research roles at CSIRO Data61, the Bionics Institute, and the University of Melbourne, contributing to bionic eye technology under the Bionic Vision Australia consortium. His research interests include: Computer Vision and AI for real-time systems Robot perception and navigation Assistive technologies for low-vision and blind users Intelligent transport systems and video analytics Human-machine interaction and cyber-human teams His recent publications reflect strong trends in deep learning, continual learning, and real-world deployment of vision systems in transport and healthcare. He has led numerous field trials and evaluations to assess system performance in real-world contexts. His work is highly interdisciplinary, combining computer science with engineering, medicine, and urban planning. Christopher McCarthy has received multiple awards, including: FSET Research Collaboration Award Excellence in Industry Engagement Special Commendation – VC Research Impact Finalist – National Disability Award in Technology Best Paper Award (IEEE) Excellence in Teaching (University of Melbourne) He has supervised over 20 HDR students in areas including robotics, AI, assistive tech, and transport analytics. He has led major research grants from ARC, Defence, SmartCrete CRC, iMOVE, and city councils. He also served as Academic Director for Work-Integrated Learning (2016–2023) and coordinated professional placements. His teaching includes core computer science units such as Computer Systems and Object-Oriented Programming. He maintains ongoing affiliations with: Bionics Institute (Honorary Member) Bionic Vision Australia (Affiliate) Data61 (Honorary Member) Royal Children's Hospital, Melbourne International Task Force for Vision Restoration Outcomes (Chair)

Carlos Sandoval OlascoagaView profile

Assistant Professor

• Human-Computer Interaction (HCI)
• Inclusive Design
• Design Computing
• +4 more

Carlos Sandoval Olascoaga is Assistant Professor of Human-Computer Interaction and Inclusive Design at Northeastern University's School of Architecture, with an affiliate appointment at Khoury College of Computer Sciences. He directs the Scalable Design Participation Lab and combines design, computing, and urban data to create formal computational methods for community-driven environmental shaping. PhD, Design and Computation, MIT MS, Computation, MIT MArch, UC Berkeley BArch, UNAM His research spans human-computer interaction, geo-computing, and collaborative computational design. Current projects focus on inclusive design tools, civic AI applications, and open-source urban analytics platforms, supported by grants from MIT Leventhal Prize, Autodesk, and the Open Knowledge Foundation. Recent publications address computational paradigms for design, participatory planning tools, and the political history of design technology. His upcoming book will establish critical frameworks for community-driven design tools. MIT Norman B. Leventhal City Prize Autodesk IDEA Studio Award MIT Presidential Fellowship

• Social Sciences
• Communication
• Art
• +3 more

Prof. DİDEM ÇATAL serves as Professor and Head of the Graphic Design Department at Canakkale Onsekiz Mart University's Faculty of Fine Arts since 2011, while holding additional roles including University Executive Board Member (2021-present) and Faculty Council Member. Her academic journey began with Competence in Art from Hacettepe University (2003-2008) where she completed her dissertation on children's e-books. Education: Competence in Art, Hacettepe University (2003-2008) Postgraduate: Hacettepe University (1992) Her research spans Social Sciences, Communication, Art, and Design Studies with specialized focus on digital design media. ÇATAL's work examines responsive web design, experimental typography, social media's impact on visual communication, and interactive e-catalog applications for educational institutions. She actively investigates how digital technologies transform traditional design practices and educational methodologies in fine arts. Analysis of her publication trends reveals consistent exploration of digital transformation in design fields, particularly focusing on interactive media applications (2023), pandemic-driven virtual exhibition adaptations (2021), and foundational typography research (2015-2020). Her work bridges theoretical design principles with practical implementations in educational and promotional contexts. YÖK Araştırma Bursu scholarship recipient (2011-present) ÇATAL has supervised three graduate theses including research on digitalization's impact on painting (2021), Turkish creation myth visualizations (2019), and motion graphics in new media design (2016). She coordinates multiple international projects including the 'Birlikte Sanatla' initiative (2024) and previously managed the university's Erasmus Program (2008-2021). Her leadership extends to international exhibitions and conferences, notably organizing the 7th Çanakkale Biennial 'Constellation' poster exhibition (2021) and participating in over 50 international design events including Dubai's International Fine Arts Conference (2023) and Poland's 'Plant - Perceptions II' exhibition (2022). She maintains active roles in professional organizations including the Communication Designers Professional Association and Istanbul Exlibris Society.

• Software Engineering
• Information Security Management
• Enterprise Architecture
• +3 more

Prof. Dr. Carsten Lucke is a faculty member at the Technische Hochschule Mittelhessen within the Department of Mathematics, Natural Sciences and Data Processing (MND), specifically affiliated with the Department of Business Informatics . He serves as Head of the M.Sc. Business Informatics program, Chair of the Master's program committee, and Chair of the admissions committee. His primary research focuses on software engineering , enterprise architecture (with emphasis on TOGAF, NAF, ADMBw), and IT security . Research Interests: Software Architecture, Architectural Modeling, Knowledge Management in Software Projects, Enterprise Architecture Frameworks Expertise: Stakeholder-Oriented Enterprise Modeling, ERP System Integration, PHP-based Software Development His publications reflect systematic approaches to integrating security management with enterprise architecture and addressing architectural complexity in large-scale systems. While no scientific awards are documented in the provided texts, his contributions span multiple empirical studies, conceptual frameworks, and practical implementations in software engineering.

• Computer Vision
• Mobile Devices
• Assistive Technology
• +3 more

Dr. Juan Manuel Sáez Martínez is a full professor in the Department of Computer Science and Artificial Intelligence at the University of Alicante's Higher Polytechnic School II. With a PhD in Computer Engineering and over two decades of academic experience since 2000, he specializes in Computer Vision and Mobile Device Applications for accessibility, particularly for the blind and visually impaired. His groundbreaking NaviLens project—a digital signage system patented internationally by the University of Alicante and licensed to Neosistec SL—represents a significant contribution to assistive technology. Teaching experience across 15+ years in programming fundamentals, computer systems, and internships for telecommunications and multimedia engineering Supervised one PhD thesis on structural similarity in object recognition Active in public research projects including airport navigation systems and airborne obstacle detection for the visually impaired His research interests focus on computer vision algorithms , stereo-based wearable devices , and ultra-efficient artificial vision systems for mobile platforms . Recent work includes biomedical informatics applications like 3D obstacle detection and accessibility-oriented UI design. He has participated in 10+ competitive public research projects (2016-2021) while contributing to technology transfer initiatives. Teaching contributions include 4 quinquennials (five-year terms) and 14+ years of instruction in Programming Fundamentals I for Telecommunication Sound and Image Engineering. Notable collaborations include co-authorship with Dr. F. Escolano on entropy-based SLAM algorithms and Gaussian mixture models for image processing. Current research emphasizes practical applications through the Mobile Vision Research Laboratory (MVRLab) .

Huseyin DoganView profile

Professor

• Human-Computer Interaction
• Artificial Intelligence
• Digital Health
• +6 more

Professor Huseyin Dogan is a leading academic at Bournemouth University's Faculty of Science & Technology, specializing in Human-Computer Interaction and Digital Health . As Director of the Computing and Informatics Research Centre, he spearheads initiatives in Explainable AI , Assistive Technologies , and Systems Engineering . His work addresses critical challenges in healthcare equity through the NIHR Maternity Disparities Consortium and Maternal and Infant Health Equity Research Centre (MIHERC) , aiming to reduce inequalities via digital solutions. Engineering Doctorate (Loughborough University) MSc Human Computer Interaction with Ergonomics (University College London) BSc Computer Science (Queen Mary University of London) His research integrates AI , Cybersecurity , and Implementation Science to develop secure, equitable digital systems. Recent projects include: Digital tools for maternity health equity AI for police worker wellbeing Cyber resilience in defense systems Accessible authentication for disabled users Scientific recognitions include: 2025 IEEE Best Service Award 2025 IEEE Best Paper Award Google Research Funding (2025) As co-founder of the UK's first MSc Digital Health program, he shapes academic curricula while maintaining industry partnerships with organizations like Dstl, Google, and NHS Dorset.

• Distributed Systems
• System Security
• Internet Applications
• +4 more

Professor Clemens H. Cap is a Full Professor with tenure and Chair for Information and Communication Services at the University of Rostock, Germany, where he has held his position since 1997. He maintains leadership of the Information and Communication Services research group and has previously held academic appointments at the University of Zurich (including an adjunct professorship until June 2023) and the University of Mannheim. University of Rostock: Full Professor (1997-present) University of Zurich: Adjunct Professor (2004-2023) University of Zurich: Assistant Professor (1992-1995) University of Mannheim: Associate Professor (1994) Professor Cap's research focuses on distributed systems, system security, Internet applications, and social problems in computer science. His work demonstrates an evolution from early research on workstation clusters to contemporary investigations of blockchain technology, classroom response systems, and the social implications of digital technologies. His research interests encompass system architecture for distributed and ubiquitous applications, Internet services, system security, and applications of formal specification techniques. His work has been supported by the German Research Foundation (DFG), the Federal Ministry of Education and Research (BMBF), and the European Union, including participation in the European Fifth Framework Research Program. His recent publications (2014-2022) reveal a strong focus on blockchain applications, security management, and educational technologies, particularly classroom response systems. His research shows consistent thematic development with security, distributed systems, and the social impact of technology as throughlines. Professor Cap regularly gives guest lectures in the Baltic States and Switzerland, demonstrating international engagement. Honorary doctoral degree 'sub auspiciis praesidentis' by Austrian president (1989) Professor Cap is active in academic self-administration as a member of the board of the interdisciplinary research department 'Knowledge - Culture - Transformation' and as Head of the ICT Science Confederation. His teaching portfolio includes Computer Networking, Data Security, Architecture of network services, Methodology of Scientific Research, Software Development Project Distributed Systems, Research Topics in Internet Technology, Computer Science and Society, and Social Impact of IT. He has developed numerous modules that are part of summer schools and international cooperations (BaSoTI). His teaching languages are German and English, and his courses are available for continuous education programs and in-house seminars for companies.

Frank SoboczenskiView profile

Lecturer

• Transformers
• Large Language Models
• Machine Learning
• +11 more

Dr. Frank Soboczenski is a Lecturer in the Department of Computer Science at the University of York, with an affiliate scientist position at King's College London supported by the NVIDIA GPU Grant Program. His research spans multiple domains including healthcare, space research, and quantum machine learning applications. He serves as a STEM scientist for NASA's and NOAA's GLOBE program and is actively involved in various NASA initiatives including the Frontier Development Lab. Dr. Soboczenski's primary research interests include Transformers and Large Language Models, Machine Learning with focus on Uncertainty Quantification and Explainability, and advanced applications of Quantum Machine Learning in Healthcare/Biomedicine and Space Research domains. His work on the RobotReviewer project applies Deep Learning and Natural Language Processing to healthcare. Previously, he has worked in Human-Computer Interaction, Cyber-Security, and Real-Time Systems in cooperation with organizations including the German Police Force, GCHQ, Rapita Systems, INRIA, Barcelona Supercomputing Center, and Airbus. His recent publications demonstrate a strong focus on applying machine learning techniques to healthcare informatics and space research, with particular emphasis on systematic reviews, clinical decision support, atmospheric retrieval for exoplanets, and medical data analysis. His work bridges the gap between theoretical AI advancements and practical applications in critical domains. NASA TechLeap Prize - Quantum Machine Learning NASA/NOAA/U.S. Department of State Outstanding Efforts to Mentor and Support Students (2019-present) NASA Frontier Development Lab AI Research Award of Merit Data Samaritan Award Steely Eyed Operator Award NASA Kennedy Space Center OsirisREx launch invitation SpaceApps 3M Thesis Competition UK National Winner (2013) Deggendorf Institute of Technology Robotics Challenge Award Dr. Soboczenski actively mentors students, as evidenced by his NASA/NOAA award for mentoring. His research is supported by the NVIDIA Corporation through the GPU Grant Program. He serves on multiple program committees including NeurIPS (2019-present), AAAI (2019-present), and various specialized workshops at major AI conferences. He is also involved in organizing NASA Space Apps challenges and serves on the NASA GeneLab Analysis Working Group on AI/ML. As an active member of the academic community, Dr. Soboczenski participates in numerous professional organizations including the NASA Nancy Grace Roman Spacecraft Science Working Group, NASA Technosignatures research group, IBM Quantum Researchers Program, PolarAI Research Group of the ACM, Huggingface BigScience Team, International Astronomical Union, and several others focused on AI and space research.

Catia PrandiView profile

Assistant Professor

• Human-Computer Interaction (HCI)
• Mobile Computing
• Sustainable HCI
• +6 more

Catia Prandi is a Senior Assistant Professor at the Department of Computer Science and Engineering (DISI) of the University of Bologna, Italy, and an external collaborator at the Interactive Technologies Institute (ITI/LARSyS), Portugal, since 2016. Her work bridges Human-Computer Interaction (HCI) and mobile computing, focusing on social good and sustainability through co-design methodologies and user participation. Her research spans Smart Campus initiatives, Accessible Wayfinding systems, and Environmental Sustainability via IoT and citizen science. She has contributed to projects like H2020 CIVITAS “DESTINATIONS” and H2020 FET “SMARTLAGOON” . Prandi’s publications highlight trends in Smart Cities (2023), Environmental Modelling (2022), and Child-Centered Design (2022). Her work integrates IoT , Machine Learning , and Gamification to address urban challenges and promote inclusivity. She actively participates in Program committees for IEEE and ACM conferences Organizing international workshops like SMAS@MobiCom Interdisciplinary collaborations with institutions in Italy and Portugal

Andrzej WicherView profile

Associate Professor

• Psychoacoustics
• Audiology
• Tinnitus Research
• +5 more

Andrzej Wicher serves as Associate Professor and Head of the Department of Acoustics within the Faculty of Physics and Astronomy at Adam Mickiewicz University (UAM) in Poznań, Poland. His academic leadership extends to membership on the Council of Disciplines of Physical Sciences and Astronomy since 2016, and previous service as Deputy Director of the Institute of Acoustics (2016-2019). Internationally, he holds an honorary Adjunct Professor position at La Trobe University in Melbourne, Australia. Wicher's research spans psychoacoustics, audiology, and auditory neuroscience, with particular focus on tinnitus mechanisms, otoacoustic emissions (especially DPOAE), binaural hearing phenomena, and speech intelligibility assessment. His work integrates clinical applications with fundamental auditory system modeling, recently expanding into environmental noise impacts—particularly wind turbine acoustics—on cognitive functions. This research portfolio reflects through 15+ recent publications showing consistent interdisciplinary connections between auditory diagnostics, neurological assessment, and real-world sound environments. His scientific contributions are recognized through multiple Rector's Awards for both organizational and scientific activities at UAM (2015-2024). As an active member of the Polish Academy of Sciences' Committee on Acoustics, European Acoustical Society, and Polish Acoustical Society, he contributes to the global acoustics community while co-organizing major conferences including the Open Seminar in Acoustics and Fechner Day. Wicher's teaching program includes specialized courses in psychoacoustics, hearing diagnostics, and auditory system analysis. His research infrastructure benefits from international collaborations with institutions including University of Cambridge, Tohoku University, University of Manchester, and University of Minnesota, supported through national (NCN) and international (EU FP6, NOR/POLNOR) grants.

Lucia SeminaraView profile

Associate Professor

• Tactile Sensing
• Electronic Skin
• Haptic Robotics
• +5 more

Lucia Seminara serves as an Associate Professor in the Department of Naval, Electrical, Electronic, and Telecommunications Engineering (DITEN) at the University of Genoa's Polytechnic School. She teaches Electronic Devices, Sensors, and Sensing Systems for Master's programs in Electronic Engineering and Engineering for Natural Risk Management, while also contributing to Philosophy of Medicine for Philosophical Methodologies. As a member of the Joint Teacher-Student Commission, she bridges academic governance with pedagogical innovation in engineering education. Her research pioneers tactile sensing systems using piezoelectric polymers (PVDF) and electronic skin for robotics and prosthetics. She investigates indentation mechanics on soft electronic skin, grasping speed sensitivity, and hierarchical sensorimotor control frameworks for human-in-the-loop robotic hands. Key innovations include machine learning-based contact force estimation and electrotactile feedback systems that restore natural touch perception in prosthetic devices, addressing critical gaps in sensory substitution technology. Analysis of her 2021-2025 publications reveals escalating integration of machine learning with tactile sensing, particularly in symmetry detection for efficient haptic exploration and transdisciplinary human-in-the-loop applications. Recent work emphasizes real-world implementations like post-stroke rehabilitation systems and high-bandwidth human-machine interfaces, demonstrating a strategic shift from foundational sensor development toward clinically viable solutions with measurable user impact. Dr. Seminara's research lineage includes significant contributions to the Roboskin project (2013), which established large-area tactile sensor arrays for robotics. Her current work extends this foundation through investigations into viscoelastic properties, stress transmission modeling, and AI-driven tactile perception, positioning her at the forefront of intelligent electronic skin development with active collaborations across engineering, neuroscience, and clinical rehabilitation domains.

Suren ChilingaryanView profile

Researcher

• High Performance Computing
• Parallel Computing Architectures
• Data Acquisition Systems
• +5 more

Dr. Suren Chilingaryan is a Data Processing and Software Performance Expert at the Institute for Process Data Processing and Electronics (IPE) at Karlsruhe Institute of Technology (KIT), where he has been working since 2007. His expertise lies in developing high-performance computing solutions for scientific experiments, with a focus on data acquisition systems, parallel computing architectures, and optimization of image processing software for scientific applications. His educational background includes: PhD in Computer Science (2006) from the Institute for Informatics and Automation Problems of the National Academy of Science of the Republic of Armenia Diploma in Mechanics and Mathematics (2001) from Moscow State University, with thesis on neural networks Dr. Chilingaryan's research spans high-performance computing, parallel hardware architectures, and scientific data management. He specializes in developing efficient algorithms for data acquisition and control systems, particularly for particle physics experiments. His current activities include high-speed data acquisition and control, management of large data, and optimization of image processing software for parallel computing architectures. He has pioneered techniques for GPU-accelerated data processing that enable real-time analysis of massive datasets from experiments like KATRIN (neutrino mass measurement), PANDA, and ASEC (Aragats Space Environmental Center). His recent publications demonstrate a strong focus on neutrino physics, cosmic ray phenomena, and high-speed data acquisition systems. The integration of FPGA and GPU technologies in his research has enabled breakthroughs in real-time data processing for scientific experiments, particularly in synchrotron imaging and particle detection applications. His work bridges computer science and experimental physics, with particular emphasis on developing scalable infrastructure for managing and analyzing large scientific datasets. Dr. Chilingaryan leads development of key software infrastructure including: UFO (Ultra fast X-Ray imaging platform) for smart experiments using GPU computing ADEI (Advanced Data Extraction Infrastructure) for time-series data management High-throughput DAQ Platform for FPGA-based scientific experiments His technical leadership supports major international collaborations including KATRIN, PANDA, and ASEC, providing critical data management solutions that enable new types of scientific investigations across particle physics, astrophysics, and atmospheric science disciplines.

Srikanth ParameswaranView profile

Assistant Professor

• IT Innovation
• Social Media
• Gamification
• +5 more

Srikanth Parameswaran serves as an Assistant Professor in the Management Information Systems area at Binghamton University's School of Management, where he conducts behavioral research at the intersection of information technology and human interaction. His work bridges theoretical frameworks with practical applications in digital innovation and health informatics. His academic credentials include: BS from Anna University MS and PhD in Management Science and Systems from the State University of New York at Buffalo Parameswaran's research program investigates how digital platforms shape human behavior, with particular emphasis on IT innovation diffusion, social media dynamics, and health technology outcomes. He pioneers methodological approaches combining meta-analytic structural equation modeling with advanced text mining techniques to analyze user-generated content across online platforms. His studies on gamification mechanisms and anonymity effects in employer review systems have established new paradigms for understanding technology-mediated social interactions. Analysis of his recent publications reveals three dominant research trajectories: (1) computational analysis of social media and review systems using NLP/machine learning, (2) health IT applications focusing on chronic disease management and online support communities, and (3) theoretical advancements in IT innovation diffusion models. His work consistently demonstrates methodological rigor while addressing pressing societal challenges in digital health and organizational behavior. His scholarly contributions have been recognized through: Poets & Quants Top 50 Best Undergraduate Business School Professor (2021) Best Paper Award 1st Runner Up at AMCIS (2017) Doctoral Consortium Fellowship at ICIS (2016) While his teaching portfolio spans web mining, social network analysis, and advanced statistics, the available documentation provides no details regarding doctoral student mentorship, research grants, laboratory facilities, or collaborative research teams.

Jun LiuView profile

Associate Professor

• Transportation Safety
• Responder Safety
• Intelligent Transportation Systems
• +7 more

Dr. Jun Liu serves as an Associate Professor in the Department of Civil, Construction and Environmental Engineering within the College of Engineering at the University of Alabama. He directs the NextGen Transportation Lab and holds editorial positions including Managing Editor for the Journal of Intelligent Transportation Systems. His affiliations include the Center for Sustainable Infrastructure and Center for Transportation Operations, Planning and Safety. Ph.D. in Civil Engineering, University of Tennessee (2015) M.S. in Statistics, University of Tennessee (2015) M.S. in Transportation Planning & Management, Huazhong University of Science & Technology (2011) B.S. in Transportation Engineering, Huazhong University of Science & Technology (2008) Dr. Liu's research spans transportation safety, connected/automated vehicles, and sustainable mobility systems. His work integrates machine learning with geospatial analysis to address responder safety, travel behavior, and urban planning challenges. Current projects focus on generative AI applications, EV infrastructure, and rural transportation equity. His methodology combines agent-based simulation, spatial modeling, and behavioral pathway analysis to develop practical transportation solutions. Publication trends reveal strong emphasis on machine learning applications in transportation safety (32% of recent works), with significant contributions to connected vehicle systems (24%) and sustainable mobility solutions (18%). His research demonstrates consistent integration of spatial analysis techniques across 78% of publications, with increasing focus on generative AI applications since 2023. Recent work shows growing international collaboration, particularly with Chinese institutions on robotaxi deployment. Inaugural Editorial Board Member, Transportation Research Record 2018 Small Grants Program Award, University of Alabama Distinguished Scientific Paper Award, ITS World Congress Best Reviewer, Journal of Traffic and Transportation Engineering Dr. Liu has secured over $21 million in research funding since 2018, including an NIH/CDC R01 award as lead PI. His 30 projects include 17 as Principal Investigator from NSF, NIH/CDC, US DOT, and state agencies. He mentors numerous graduate students, with recent publications featuring trainees as first authors. Current initiatives include a $2 million CDC/NIOSH project on first responder safety and $16.8 million smart transportation network development in West Alabama. His NextGen Transportation Lab focuses on integrating AI with transportation systems while exploring creative applications through dance and choreography.

Mohammad ZubairView profile

Professor

• High performance computing
• digital libraries
• autonomic computing
• +3 more

Mohammad Zubair is a Professor in the Department of Computer Science at Old Dominion University's College of Sciences, specializing in high performance computing, digital libraries, autonomic computing, and peer-to-peer networks. His work bridges scientific computing and information systems with significant federal and industry collaborations. Education: Ph.D. in Computer Science, Indian Institute of Technology Delhi (1987) B.S. in Electrical & Electronics Engineering, University of Delhi (1981) Research Interests: Dr. Zubair's expertise centers on high performance computing for scientific applications and large scale data analytics. He develops scalable algorithms for scientific simulations (e.g., particle physics, structural health monitoring) and advances digital library systems through autonomic computing, collaborative classification, and metadata extraction. His work integrates parallel computing with domain-specific challenges in finance, physics, and digital preservation. Publication Trends: His recent publications (2017-2008) show strong focus on GPU-accelerated scientific computing (particle colliders, structural monitoring) and computational finance (binomial option pricing), while maintaining digital library research in collaborative classification and metadata extraction. The work increasingly addresses energy efficiency in cloud systems and leverages parallel architectures from multicore CPUs to GPUs. Scientific Awards: IBM Faculty Award (2006) IBM Faculty Award (2005) Grants and Funding: Dr. Zubair has secured over $800,000 in research funding since 2004, including projects like 'Design AMD Impl Scalable Opt Kernels for Lrg Sc Simu USN Fund3d On Emer' ($24,890, 2017-2018), 'Graduate Research Award Program On Public Sector Aviation Issues' ($35,519, 2016-2018), and foundational digital library work with the Library of Congress and NASA. He frequently collaborates with K. J. Maly and R. Mukkamala on autonomic systems and metadata extraction. Labs and Teams: His research integrates with ODU's high performance computing initiatives and digital library projects, particularly through collaborations with federal agencies (NASA, Library of Congress) and industry partners like IBM. Current work focuses on GPU-accelerated scientific simulations and energy-efficient cloud management systems.