Software Maintainability Professors and Supervisors | ApplySharif

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Purushotham V. BangaloreView profile

Professor

University of AlabamaUnited States

Dr. Purushotham V. Bangalore serves as the James R. Cudworth Professor in the Department of Computer Science at the University of Alabama's College of Engineering and holds the position of Associate Director for the Center for Understandable, Performant Exascale Communication Systems (CUP-ECS), a Predictive Science Academic Alliance Program (PSAAP) Focused Investigatory Center. His academic credentials include: B.E. in Computer Science and Engineering from Bangalore University (1991) M.S. in Computer Science from Mississippi State University (1995) Ph.D. in Computational Engineering from Mississippi State University (2003) Dr. Bangalore's research centers on High-Performance Computing (HPC) with emphasis on designing abstraction layers for heterogeneous architectures, predictive performance modeling, and portability. His work extends to fault-tolerant message-passing middleware, exascale storage security, and reliability frameworks. Additional expertise spans data analytics, object-oriented numerical libraries, grid computing environments, and adaptive systems development through three decades of HPC and cloud computing innovation. Analysis of his 2021-2025 publications reveals dominant themes in HPC security architecture, containerization for scientific workloads, and MPI communication advancements. Key application areas include hydrological modeling (NextGen framework), GPU-accelerated communication protocols, and data provenance systems for exascale platforms, reflecting interdisciplinary approaches to computational challenges. Dr. Bangalore has secured approximately $20 million in research funding as PI/Co-PI from NSF, NIH, DoE, and industry partners, resulting in over 90 peer-reviewed publications. His academic service includes editorial roles for IEEE Transactions on Parallel and Distributed Systems, MPI Forum contributions to the MPI-4.0 standard, and organization of DoD-sponsored HPC training workshops. He leads research initiatives through CUP-ECS while maintaining active participation in the MPI Forum. His team develops frameworks for exascale communication systems with focus on security posture analysis, performance portability, and fault tolerance in next-generation computing environments.

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Andrew HinesView profile

Assistant Professor

University College CorkIreland

Dr Andrew Hines serves as an Assistant Professor in the School of Computer Science at University College Dublin (UCD) and is a Funded Investigator at the CONNECT Centre. His research focuses on computational modeling for quality assessment across speech, audio, and video systems. Research interests span: Quality of Experience (QoE) metrics development Machine learning applications for health and cryptosystems Speech intelligibility prediction for hearing-impaired individuals Spatial audio streaming quality evaluation His work bridges signal processing theory with practical industry implementations. Hines maintains active industry partnerships, notably with Google on VoIP speech quality metrics and audio codec evaluation for streaming media. He previously represented Ireland on the Qualinet FP7 COST Action management committee, leading machine learning initiatives for QoE modeling, and currently participates in the CryptoAction COST research network. Before academia, he accumulated a decade of industry experience as Director of Engineering in airline and finance software development sectors. His laboratory infrastructure includes the QxLab research group and Dependable Networks project.

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Dimitrios ApostolopoulosView profile

Assistant Professor

National Technical University of AthensGreece

Dimitrios Apostolopoulos serves as Assistant Professor at the School of Electrical and Computer Engineering, National Technical University of Athens (NTUA), within the Division of Information Transmission Systems and Material Technology. His academic foundation was built at NTUA where he earned both Diploma (2004) and Ph.D. (2009) degrees, followed by an MBA from Hellenic Open University. His educational qualifications include: Diploma in Electrical and Computer Engineering, NTUA (2004) Ph.D. in Electrical and Computer Engineering, NTUA (2009) MBA, Hellenic Open University Prof. Apostolopoulos specializes in optical communication systems, optical wireless technologies, and converged optical-wireless networks, with particular expertise in photonic integrated circuits for telecom/datacom/sensing applications and optical computing for AI. His research directly addresses next-generation network challenges through photonic innovation, bridging theoretical frameworks with practical engineering solutions for 5G/B5G/6G systems. Analysis of his 2024-2025 publications reveals dominant themes in 6G hybrid transport architectures (fiber/FSO/mmWave), silicon photonics for aerospace environmental sensing, and integrated optical components for Lidar/gas detection systems. This work demonstrates consistent progression from fundamental photonic research to real-world deployment scenarios. His scientific recognition includes: Dimitris N. Chorafas Foundation Award (2009) for doctoral contributions to all-optical broadband communications Prof. Apostolopoulos actively leads over 15 European/national research projects while serving on technical committees for ECOC, IEEE GLOBECOM, and N&N conferences. As co-chair of EuCNC/6G Summit's Wireless/Optical/Satellite Networks track, he shapes next-gen network standards. His teaching portfolio spans undergraduate telecommunications courses from circuit analysis to optical network design. He maintains active collaboration within photonic research teams through projects like Int5Gent and Int5gent, focusing on integrated solutions for communications infrastructure and sensing applications across aerospace and environmental monitoring domains.

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Bradi Bartrug GrangerView profile

Research Professor

Duke UniversityUnited States

Bradi Bartrug Granger is a Research Professor at Duke University School of Nursing, Director of the Duke Heart Center Nursing Research Program, and adjunct faculty at the University of Gothenburg. She holds core faculty status at the Duke-Margolis Center for Health Policy. With doctorate in nursing from the University of North Carolina at Chapel Hill, an MSN from Duke University, and a BSN from the University of Tennessee at Knoxville, her expertise spans implementation science, heart failure care, workforce stability, hypertension management, and health equity. 2004 - Ph.D., University of North Carolina at Chapel Hill 1991 - M.S.N., Duke University 1988 - B.S.N., University of Tennessee at Knoxville Her recent publications focus on nurse retention strategies, virtual reality rehabilitation for ICU patients, hypertension control in Black populations, and palliative care integration in heart failure management. Key grants include NIH/NINR-funded Nurse LEADS program (2024-2029), NSF research on XR rehabilitation games (2025-2027), and NHLBI-funded urine output tracking studies (2024-2026). She actively promotes evidence-based practice through clinical decision support tools and workforce analytics, maintaining affiliations with Duke's Science & Society initiative and Margolis Center for Health Policy.

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Dennis PrangleView profile

Associate Professor

University of BristolUnited Kingdom

Dennis Prangle is an Associate Professor in Statistics at the University of Bristol, conducting research at the intersection of Bayesian statistics and machine learning. His academic profile demonstrates expertise in developing novel computational inference methods with applications across multiple scientific domains. Dr. Prangle's primary research interests include: Approximate inference methods such as simulation-based inference and variational techniques Likelihood-free inference through Approximate Bayesian Computation (ABC) Experimental design for high-dimensional problems Applications in population genetics, physics, ecology, and epidemiology Stochastic differential equations and composite likelihood approaches His publication record shows consistent methodological contributions with increasing integration of machine learning techniques. Recent work focuses on normalizing flows with flexible tails for improved density estimation, Bayesian emulation of complex systems, and optimal combination of composite likelihoods. His research bridges theoretical statistics with practical applications in financial modeling, infrastructure engineering, and fair classification algorithms. Dr. Prangle maintains an active academic blog where he discusses technical aspects of Bayesian statistics, experimental design, and computational methods, demonstrating his commitment to scholarly communication. His detailed posts on topics like Fisher information gain versus Shannon information gain in experimental design highlight his theoretical contributions to the field.

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Ergin AtalarView profile

Professor

Bilkent UniversityTurkey

Ergin Atalar is a Professor at Bilkent University's Department of Electrical and Electronics Engineering and serves as Director of the National Magnetic Resonance Research Center (UMRAM). Previously, he spent nearly two decades at Johns Hopkins University, where he held professorships in Radiology, Biomedical Engineering, and Electrical and Computer Engineering, and directed the Center for Image Guided Interventions. His research focuses on Magnetic Resonance Imaging (MRI) innovation, including hardware/software development, safety protocols, and interventional MRI techniques. Education: Ph.D. in Electrical and Electronics Engineering, Bilkent University (1991) M.S. in Electrical and Electronics Engineering, Middle East Technical University (1987) B.S. in Electrical and Electronics Engineering, Bogazici University (1985) Dr. Atalar is recognized for re-engineering MRI scanners to enhance performance without increasing costs. His inventions led to the founding of MRI Interventions, Inc. (now ClearPoint Neuro, Inc.) and Troyka Med A.S. He has authored 127 peer-reviewed journal papers, holds 54 U.S. patents, and maintains high citation metrics (h-index=71 via Google Scholar, 17,400+ citations). Scientific Honors: TUBITAK Science Award (2006) Fellow of the National Academy of Inventors (2016) Member of Academia Europaea (2013) Member of Science Academy, Turkey (2012) Fellow of ISMRM (2011)

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Massimo MecellaView profile

Professor

Sapienza University of RomeItaly

Massimo Mecella serves as Full Professor at Sapienza University of Rome's Faculty of Information Engineering, Computer Science and Statistics, where he leads the Processes, Services and Software Management research group and participates in the CINI National Cyber Security Lab. His academic foundation stems from a PhD in Computer Engineering earned at Sapienza in 2002. His research expertise spans service-oriented computing, business process management, and cyber-physical systems with emphasis on service composition, process mining, and adaptive distributed architectures. Key technical domains include IoT integration, digital twin development, and security frameworks for complex software ecosystems. Recent publications (2024-2025) demonstrate a pronounced shift toward Large Language Model (LLM) integration in business processes and smart manufacturing. Dominant themes include LLM-driven process modeling, multimodal quality control systems, and digital twin implementations for energy management and production optimization. Methodological innovations focus on retrieval-augmented generation (RAG) for service discovery and fuzzy cognitive maturity assessments. His distinguished recognition includes: ICSOC 2013 Most Influential Paper Award (2003-2012 decade) 2017 Best Paper Award As research group leader, Mecella directs projects in smart manufacturing, process mining, and cyber-physical security, with funding typically sourced from EU initiatives and industry partnerships in aerospace, healthcare, and energy sectors. His team maintains active collaborations with aerospace manufacturers through the MICS SPOKE8 project and develops frameworks like SAMBA for human-in-the-loop manufacturing systems. The Processes, Services and Software Management group operates within Sapienza's engineering faculty infrastructure, utilizing specialized labs for CPS/IoT testing and digital twin simulation, with strong ties to the CINI Cyber Security Lab for security validation.

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Vincent ChoView profile

Associate Professor

Boston CollegeUnited States

Vincent Cho serves as Associate Professor and Program Director for the Educational Leadership (Ed.D.) and Professional School Administrator Program (PSAP) at Boston College's Department of Educational Leadership & Higher Education. His research bridges educational leadership theory with practical technology integration challenges in K-12 settings, focusing on the human dimensions of digital transformation in schools. His academic credentials include: Ph.D. from the University of Texas at Austin M.Ed. from the University of Houston B.A. from Boston College Cho's research examines how technologies reshape school discipline systems, data-informed decision processes, and professional identities of educators. With extensive experience as a former classroom teacher and school administrator, he investigates the 'people problems' that emerge during technology implementation, particularly how digital tools create unintended consequences in school organization and culture. His work emphasizes practical solutions for educational leaders navigating the digital age. Analysis of his recent publications (2016-2024) reveals three evolving research trajectories: (1) the impact of behavior management technologies on school discipline equity, (2) data system implementation challenges in educational leadership, and (3) social media's role in professional learning networks. His 2024 work on 'The New Discipline Machinery' critically examines algorithmic behavior tracking apps, while earlier award-winning research (2012-2021) established foundational insights into Twitter-based knowledge brokering among school leaders. His scholarly recognition includes: Carol Weinstein Outstanding Research Award from AERA's Classroom Management SIG (2021) Early Career Scholar of Color award from AERA's Committee on Scholars of Color (2013) Best Paper Award from AERA's Organizational Theory SIG (2012) As Program Director for BC's Ed.D. program, Cho mentors doctoral candidates in educational leadership while maintaining active research collaborations. His current affiliations include serving as Affiliate Faculty for UCEA's CASTLE Center (2021-present) and Advisory Board Member for UMass-Lowell's Center for Program Evaluation (2020-present), reflecting sustained engagement with national educational technology initiatives. Funded projects include EU Parliament presentations on digital-era school innovation and multi-year studies of data system impacts on student achievement.

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Manfred ReichertView profile

Professor

University of BariItaly

Manfred Reichert serves as Professor of Computer Science and Director of the Databases and Information Systems Institute at Ulm University, Germany, with active research spanning digital services, information systems, business process management, and process flexibility across healthcare, logistics, automotive engineering, and Industry 4.0 domains. His research integrates practical applications through collaborations with industry leaders including Daimler, BMW, Uhlmann Pac Systems, and adesso, focusing on solving real-world challenges in business process management and flexible information systems. His distinguished contributions have been recognized with multiple awards: OTM'05 Best Paper Award EDOC'08 Best Paper Award AIMS'17 Best Paper Award BPM Test of Time Award (2013) Prof. Reichert maintains significant academic leadership as co-founder of AristaFlow Ltd., co-author of a Springer book on process flexibility, and organizer of major conferences including PC co-chair roles for BPM’08 and EDOC’13, and general chair positions for BPM’09 and EDOC’14. He directs the Databases and Information Systems Institute at Ulm University, leading research teams focused on advancing database technologies and their applications in business process management and digital services.

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Martijn FroelingView profile

Assistant Professor

Utrecht UniversityNetherlands

Martijn Froeling serves as an Assistant Professor at University Medical Center Utrecht, actively contributing to the Precision Imaging research group within the High Field division. His work bridges advanced MRI technology development with clinical applications targeting critical health domains including brain cancer, circulatory health, dementia, and musculoskeletal disorders. His academic foundation includes: Master's in Biomedical Engineering from Eindhoven University of Technology (July 2009) PhD in Diffusion Tensor Imaging of the human forearm from Amsterdam University Medical Center and Eindhoven University of Technology (October 2012) Dr. Froeling's research centers on pioneering quantitative MRI methodologies, with specialized expertise in Diffusion Tensor Imaging (DTI) across multiple organ systems (brain, peripheral nerves, muscle, kidney, heart). He drives innovation in 7T MRI hardware development—including specialized coils for multi-nuclei imaging—and conducts clinical studies focused on neuromuscular diseases. His QMRITools software platform for Mathematica enables sophisticated quantitative MRI analysis, directly supporting his mission to 'see the unseen' for advancing clinical diagnostics in cancer, cardiovascular disease, stroke, and MSK conditions. Analysis of his 2024-2025 publications reveals a cohesive research trajectory: DTI applications dominate clinical studies (hamstring injuries, fasciculation mapping), while parallel technical work advances ultra-high-field hardware (double-tuned coils for ²H/³¹P imaging). This dual focus on clinical impact and technological innovation demonstrates his commitment to translating engineering breakthroughs into tangible medical solutions. No scientific awards were documented in the provided materials. While the text confirms Dr. Froeling's role in supervising PhD work (evidenced by his PhD completion under prominent supervisors), no current students or specific grant funding details are explicitly mentioned in the source material. He operates within the High Field group at University Medical Center Utrecht, leading the Precision Imaging research initiative. This team specializes in developing cutting-edge MRI hardware (particularly for 7T systems), maintaining the QMRITools analysis platform, and executing clinical trials targeting neuromuscular pathologies alongside broader applications in oncology and cardiovascular medicine.

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Oliver BringmannView profile

Professor

University of TübingenGermany

Oliver Bringmann is a full Professor and head of the Chair of Embedded Systems at the University of Tübingen, Germany, and a member of the board of directors at the FZI Research Center for Information Technology. His research integrates embedded-system design, energy-efficient AI accelerators, dependable automotive perception, and medical AI for capsule endoscopy. Education & Career Ph.D. in Computer Science, University of Tübingen, 2001 Diploma in Computer Science, University of Karlsruhe (KIT) Head, Chair of Embedded Systems, University of Tübingen (since 2012) Deputy spokesperson & spokesperson, Dept. of Computer Science, University of Tübingen (2014-2022) Board of Directors, FZI Research Center for Information Technology Research Interests Bringmann’s group pioneers hardware/software co-design for ultra-low-power Edge-AI , developing RISC-V based accelerators, compiler-aware neural-architecture search, and real-time perception systems for autonomous driving and medical devices. Key topics include: Energy-efficient AI architectures (“Edge AI”) and custom accelerator generation Robust collective perception under adverse weather (LiDAR, camera, V2X fusion) Timing/power-predictable embedded software and system-on-chip design automation Hardware-assisted security and safety for automotive & IoT systems AI-driven capsule endoscopy localization and anomaly detection Recent Publication Trends His 2024-2025 articles reveal a strong shift toward robust multimodal perception for automated driving (snow, fog, collective LiDAR fusion) and Edge-AI medical devices (capsule endoscopy with multi-task CNNs). Core contributions span dataset generation (SCOPE, SnowyLane), safety metrics (LSM), and fast performance modeling for DNN accelerators. Professional Service & Projects Executive/Steering Committees: IEEE/ACM DATE, CODES+ISSS, CASES, ITSS conferences EU CATRENE EDA roadmap chapter lead (Embedded Software & ESL-to-RTL) Principal investigator in Scale4Edge, OCEAN12, enerDAG and other national projects on energy-efficient sensorics and secure energy trading. His group maintains extensive collaborations with automotive and semiconductor industry, focusing on dependable, energy-aware embedded intelligence.

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Balázs NagyView profile

Associate Professor

Eötvös Loránd UniversityHungary

Dr. Balázs Nagy serves as an Associate Professor and Head of the Department of Medieval History within the Faculty of Humanities at Eötvös Loránd University (ELTE) in Budapest, Hungary. His academic profile uniquely bridges historical scholarship and advanced engineering disciplines, maintaining an active research agenda across both domains from his office at 1088 Budapest, Múzeum körút 6–8. His primary research interests span Robotics , Artificial Intelligence , Machine Learning , and Ethorobotics , alongside History and Medieval Studies . This interdisciplinary focus manifests in work on deep learning for telerobotic control, evolutionary algorithms for robot navigation, and ethologically inspired behavior systems, often integrating sensor technologies like MARG for movement analysis. Analysis of his 2016-2025 publications reveals a consistent trajectory in computational intelligence applied to robotics, with increasing emphasis on deep learning (2022-2025) and ethorobotics. His work demonstrates strong methodological continuity in sensor fusion and behavior modeling, while showing evolving applications from mobile navigation to biological behavior analysis.

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Toni MättöView profile

Senior Lecturer

University of JyväskyläFinland

Toni Mättö serves as a Senior Lecturer at the School of Business and Economics, University of Jyväskylä, with active affiliations in the Accounting follow-up group and Digital Business and Economy focus area. His academic profile centers on bridging theoretical accounting frameworks with practical public sector applications through interventionist research methodologies. Mättö's research program critically examines management accounting systems within public institutions, emphasizing their role in process improvement and organizational accountability. Key investigations span non-IFRS reporting practices, digital transformation of budgeting software, and performance measurement systems in universities. His work consistently addresses risk management regulation in municipal contexts and NGO accountability mechanisms, utilizing longitudinal case studies to document institutional change in Finnish public organizations. Analysis of his 15 most recent publications reveals a cohesive research trajectory focused on public sector accounting innovation. Dominant themes include the institutionalization of vernacular accounting routines, quality cost management in public finance, and hybrid accountability frameworks in healthcare settings. His methodological signature combines constructive research approaches with participative observation, particularly evident in multi-year studies of municipal risk management systems and digital budgeting tools. No scientific awards or major honors are documented in the available institutional records. His collaborative research projects, such as the 2017 municipal risk management study funded by The Foundation for Municipal Development, demonstrate engagement with practical governance challenges though comprehensive grant data remains limited in public profiles. Mättö operates within structured academic networks including the Accounting follow-up group and Digital Business focus area, maintaining consistent research partnerships with Järvenpää, Rautiainen, Sippola, and Pellinen. These collaborations manifest in joint publications examining Finnish municipal accounting practices, healthcare organization transformations, and digital business applications in public financial management.

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Michael D. BondView profile

Professor

National and Kapodistrian University of AthensGreece

Michael D. Bond is a Professor in the Department of Computer Science & Engineering at Ohio State University's College of Engineering. He leads the Programming Languages and Software Systems (PLaSS) Research Group, which focuses on designing program analyses and software and hardware systems that enhance computing reliability, scalability, and security. His academic service includes general chair for PLDI 2027, program committee membership for multiple top conferences, and committee roles in SIGPLAN Research Highlights (2024-2027). Professor Bond's research spans programming languages, systems, and security, with particular expertise in memory management, concurrency, hardware transactional memory, information flow control, and predictive race detection. His work bridges theoretical foundations with practical implementations, as evidenced by numerous open-source projects accompanying his publications. The PLaSS group has made significant contributions to understanding and improving memory models, developing efficient garbage collection techniques for modern architectures, and creating novel approaches to secure programming in languages like Rust. Analysis of his recent publications reveals a clear trajectory toward addressing security and reliability challenges in modern computing systems, particularly through language-based approaches. His work increasingly focuses on Rust programming language security mechanisms, memory disaggregation for datacenters, and advanced techniques for detecting and preventing concurrency bugs. The research demonstrates strong continuity in exploring memory models and concurrency while adapting to emerging hardware trends and security challenges. Outstanding Teaching Award, Department of Computer Science and Engineering, Ohio State University (2018) Lumley Research Award, College of Engineering, Ohio State University (2016) OOPSLA 2015 Distinguished Paper and Artifact Awards NSF CAREER Award ACM SIGPLAN Outstanding Doctoral Dissertation Award Intel PhD Fellowship Professor Bond actively mentors several PhD students including Chujun Geng, Vincent Beardsley, Chris Xiong, Victor Chen, and Noah Charlton, with external co-advisee Zixian Cai at Australian National University. His research is currently supported by multiple NSF grants including SaTC-2348754 (2024-2027), CyberCorps-2336531 (2024-2029), and CSR-2106117 (2021-2025), reflecting sustained funding for his work in information flow control, security, and systems research. The PLaSS Research Group maintains a strong presence in both academic and industrial communities, with graduated PhD students securing positions at major technology companies like Google, Amazon Web Services, and Huawei, as well as academic positions at institutions like UIUC and IIT Kanpur. The group's work combines theoretical rigor with practical implementation, consistently producing open-source artifacts that enable reproducibility and further research in the systems and programming languages community.

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Ruzica PiskacView profile

Professor

National and Kapodistrian University of AthensGreece

Ruzica Piskac is a Professor of Computer Science at Yale University, where she leads the Rigorous Software Engineering (ROSE) group. She has made significant contributions to the fields of software verification, security, automated reasoning, and code synthesis, focusing on improving software reliability and trustworthiness through formal techniques. Dr. Piskac received her PhD from the Swiss Federal Institute of Technology (EPFL) in 2011, where her dissertation won the Patrick Denantes Prize. Prior to joining Yale, she led an independent research group at the Max Planck Institute for Software Systems in Germany (2012-2013). Her research spans several key areas: symbolic execution for Haskell (G2), privacy-preserving formal methods (PPFM), functional reactive synthesis, verification of configuration files, and analysis of software updates. Her work consistently bridges theoretical formal methods with practical applications in real-world systems. Dr. Piskac's recent publications demonstrate a strong trend toward applying formal verification techniques to emerging challenges including large language models, quantum computing security, legal accountability of automated systems, and cyber-physical systems. Her research increasingly intersects with AI, cryptography, and legal domains while maintaining strong foundations in formal methods. Her scientific achievements have been recognized with numerous prestigious awards: Multiple Amazon Research Awards Yale University's Ackerman Award for Teaching and Mentoring Facebook Communications and Networking Award Microsoft Research Award for the Software Engineering Innovation Foundation (SEIF) Patrick Denantes Prize for her PhD dissertation Dr. Piskac has graduated five PhD students, four of whom have gone on to become assistant professors of computer science. She has served as Program Chair of the 37th International Conference on Computer Aided Verification and is on the Steering Committee of the Formal Methods in Computer-Aided Design conference. She leads the Rigorous Software Engineering (ROSE) group at Yale, which focuses on several key projects including: Symbolic Execution Engine for Haskell (G2) Privacy Preserving Formal Methods (PPFM) Functional Reactive Synthesis Verifications for Configuration Files Analysis of Software Updates and Configuration Files

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