جست‌وجوی استاد و پژوهشگر

Delvin Vargheseمشاهده پروفایل

مدرس ارشد

• Human-Computer Interaction
• Participatory Design
• Action Research
• +۷ مورد دیگر

Delvin Varghese is a Senior Lecturer in Human-Computer Interaction (HCI) at the Department of Human Centred Computing, Faculty of Information Technology, Monash University, and a member of the Action Lab. He specializes in participatory and action research methods to design digital tools that empower communities, particularly in public health, multicultural engagement, and international development. His research focuses on leveraging community lived experience through co-design and participatory media to build web and mobile applications that drive collective action and social impact. Key areas include digital health, community development, third-sector collaborations, and inclusive technology design for marginalized populations. His work aligns with several UN Sustainable Development Goals, particularly those related to reduced inequalities and good health. Recent publications highlight trends in diaspora engagement, voice-based technologies for remote communities, short-form video for civic reporting, and inclusive digital services. These works reflect a strong commitment to real-world impact, often developed in partnership with NGOs, government agencies, and international bodies like the IFRC. Scientific Awards: Dean’s Award (Community Research) – 2021, 2022, 2024 Monash Student Association (MSA) Teaching Excellence Award – 2024 Best Paper Award, ACM Designing Interactive Systems (DIS) – 2022 Delvin supervises PhD students and is actively involved in multiple research grants, including projects funded by the Australian Research Council and Monash internal grants. He has led and contributed to initiatives such as Fire to Flourish , PROTIC2 , and Supporting Healthy Remote Stores , often collaborating with interdisciplinary teams across health, design, and social sciences. His teaching includes large-scale units like Mobile Application Development and Internet Applications Development . He is affiliated with the Action Lab at Monash, a research group focused on community-centered design, social innovation, and technology for social good. The lab emphasizes real-world deployment and ethical engagement with communities.

Jennifer D'Souzaمشاهده پروفایل

پژوهشگر ارشد

• Information Extraction
• Question Answering
• Natural Language Processing
• +۳ مورد دیگر

Jennifer D'Souza is a Research Fellow in the Open Research Knowledge Graph (ORKG) project at the Data Science and Digital Libraries research group within the Technische Informationsbibliothek (TIB) . Her current work focuses on natural language machine learning, including knowledge graph construction, ontology alignment, and AI-assisted scientific discovery. Prior to TIB, she held postdoctoral positions at the University of California, Davis (focusing on software engineering and NLP applications) and completed her PhD at the University of Texas at Dallas, specializing in relation mining. She has also contributed to industrial software solutions in concept generation. Education : PhD in Computer Science, University of Texas at Dallas Postdoctoral Researcher, University of California, Davis Research Interests : Information Extraction and Question Answering Scientometrics and Knowledge Organization Natural Language Processing (NLP) for Ontology Learning Large Language Models (LLMs) in Scientific Workflows Awards & Grants : Not explicitly listed, but her contributions to projects like ORKG and participation in hackathons highlight collaborative achievements in AI-driven research. Labs/Teams : Active member of the Data Science and Digital Libraries group at TIB, contributing to projects such as ORKG and the Large Language Models for Ontology Learning Challenge .

Christopher Wolfeمشاهده پروفایل

دانشیار

• Physical Oceanography
• Large-Scale Circulation
• Overturning Circulation
• +۴ مورد دیگر

Christopher Wolfe is an Associate Professor of Marine Science at the School of Marine and Atmospheric Sciences (SoMAS) at Stony Brook University. He conducts research on physical oceanography, focusing on large-scale ocean circulation, overturning dynamics, and mesoscale eddy interactions. Education: Ph.D. in Physical Oceanography (2006), Oregon State University M.S. in Physics (2000), Indiana University B.S. in Physics and Mathematics (1999), Evergreen State College His research integrates theoretical frameworks, idealized numerical models, and realistic ocean circulation simulations to study the ocean’s role in climate systems. Key areas include overturning circulation stability, buoyancy-driven currents, and predictability of geophysical flows. Recent publications highlight his work on interannual variability in the Indian Ocean, salt feedback mechanisms, and multi-scale instabilities. He advises Ph.D. and postdoctoral researchers in the Pitt Wolfe group , which has produced alumni now working at institutions such as NOAA and the Ocean University of China. Scientific Affiliations: Active in computational oceanography and nonlinear dynamics Collaborator with P. Cessi, R. M. Samelson, and others

Jason O. Hallstromمشاهده پروفایل

استاد

• Embedded Network Systems
• Internet-scale Sensing Infrastructure
• The Internet of Things
• +۱ مورد دیگر

Jason O. Hallstrom serves as Professor and Director of the Institute for Sensing and Embedded Network Systems Engineering (I-SENSE) at Florida Atlantic University, affiliated with the College of Engineering and Computer Science and Department of Electrical Engineering and Computer Science. Education: Ph.D., Ohio State University Research Interests: His work centers on Embedded Network Systems, Internet-scale Sensing Infrastructure, The Internet of Things, and Computing Education. These interconnected fields drive innovation in large-scale sensing technologies, embedded systems architecture, and educational methodologies for computing disciplines, with emphasis on real-world IoT deployments and networked sensor infrastructure. Awards: No scientific awards documented in source materials Advising and Grants: Specific student advisees and grant funding details are not provided in the available documentation, though his leadership role at I-SENSE implies oversight of research initiatives and potential mentoring activities. Labs and Teams: As Director of I-SENSE, he leads Florida Atlantic University's dedicated research institute focused on advancing sensing technologies, embedded network systems, and large-scale infrastructure development through interdisciplinary collaboration.

Serena Sannaمشاهده پروفایل

پژوهشگر

• Genetics
• Microbiome
• Genome-Wide Association Study
• +۵ مورد دیگر

Serena Sanna, PhD , is a researcher at the Faculty of Medical Sciences of the University of Groningen, affiliated with the Groningen Institute for Gastrointestinal Genetics and Immunology (3GI) . She contributes to UN Sustainable Development Goals through work on genetics, microbiome, and complex disease mechanisms. Expert in genetics and microbiome research Specializes in genome-wide association studies and Mendelian randomization Research Focus : Host genetic regulation of gut microbiome composition, causal relationships between microbiome and diseases (e.g., endometriosis, hemorrhoidal disease), and integration of metabolomics with immune phenotypes. Her work involves large-scale biobank studies like the Lifelines Cohort . Scientific Awards : Donna di Scienza 2023 Prize Guido Dorso Prize (2018) Highly Cited Researcher (2018) ESHG Meeting Young Scientist Award (2008) Recent Publications : 2025 studies on MBL pathway/microbiome in endometriosis and age-related microbiome effects; 2024 works on hepatic fat genetics, diverticular disease comorbidities, and structural microbiome variation. Active in multi-omics and data integration methodologies.

Engin Danisمشاهده پروفایل

استادیار

• Computational Fluid Dynamics
• High-Speed Flows
• Hypersonic Flows
• +۳ مورد دیگر

Engin Danis is an Assistant Professor in the Department of Mechanical and Aerospace Engineering at the University of Missouri, Columbia. His research focuses on advancing computational methods for complex fluid dynamics, particularly in high-speed and hypersonic regimes. With expertise in high-order discretizations, turbulence modeling, and large-scale numerical simulation, he develops algorithms that capture intricate flow phenomena with high fidelity and computational efficiency. Dr. Danis's research interests include: High-order numerical methods Hypersonic flows Turbulence modeling Tensor networks for fluid dynamics Compressible flow simulation His publication record demonstrates a strong trend toward applying tensor network methodologies to solve challenging problems in computational fluid dynamics. This innovative approach enables more efficient computation of complex fluid phenomena while maintaining high accuracy, particularly for high-speed and hypersonic flows. His research spans both fundamental numerical method development and practical applications in aerospace engineering. Professional affiliations: American Institute of Aeronautics and Astronautics American Physical Society Society for Industrial and Applied Mathematics Prior to joining the University of Missouri, Dr. Danis was a postdoctoral research associate at Los Alamos National Laboratory where he pioneered tensor-train-based solvers for partial differential equations. He also has industry experience from GE Aviation, where he contributed to high-fidelity simulation tools for aircraft engine thermal-fluid systems.

Elmer Bernstamمشاهده پروفایل

استاد

• Clinical and Translational Informatics
• Information Retrieval
• Consumer Informatics
• +۷ مورد دیگر

Elmer Bernstam, MD, MSE, is Professor of Biomedical Informatics and Internal Medicine at the University of Texas Health Science Center at Houston (UTHealth Houston). He holds the Reynolds and Reynolds Professorship in Clinical Informatics and serves as Associate Dean for Research at the McWilliams School of Biomedical Informatics while maintaining a joint appointment with the McGovern Medical School. Dr Bernstam is board-certified in internal medicine and continues to practice, and he directs the Biomedical Informatics Group within UTHealth’s Center for Clinical and Translational Sciences (CCTS). Education MS, 2001 – Biomedical Informatics, Stanford University Medical Center MSE, 1999 – Computer Science and Engineering, University of Michigan College of Engineering MD, 1995 – Integrated Medical-Premedical Program, University of Michigan Medical School BSE, 1992 – Computer Engineering, University of Michigan College of Engineering BS, 1992 – Biomedical Sciences and Psychology, University of Michigan College of Literature, Science, and the Arts Research Focus Dr Bernstam’s research centers on clinical and translational informatics . He and his team investigate how to improve health care through better information management, with specific emphasis on: Information retrieval from biomedical literature and EHRs Consumer informatics and online health information quality Clinical decision support systems, especially for personalized cancer therapy Health data warehousing, interoperability, and large-scale phenotyping Natural language processing for clinical narratives and pharmacovigilance Under his leadership, the UTHealth clinical data warehouse now curates longitudinal data for more than 400,000 patients, serving as a foundational resource for multi-institutional research and learning health-system initiatives. Scientific Awards & Honors John P. McGovern Outstanding Teacher Award (2004) – conferred by student vote at McWilliams School of Biomedical Informatics Fellow, American College of Physicians Fellow, American College of Medical Informatics Grants, Labs & Teams Dr Bernstam leads the Biomedical Informatics Group housed in UTHealth’s Center for Clinical and Translational Sciences. The group’s portfolio includes federal and foundation grants that fund the UTHealth clinical data warehouse, national collaboratory projects such as the ENACT network, and work on AI-driven decision support tools for precision oncology. The lab’s current initiatives focus on (1) scalable infrastructure for multi-site EHR-based research, (2) fairness and bias evaluation in AI models, and (3) harmonization of social determinants of health data across Texas CTSA institutions. Clinical & Educational Roles In addition to directing research programs, Dr Bernstam maintains an active internal-medicine practice and mentors graduate students, clinical informatics fellows, and junior faculty. His teaching emphasizes evidence-based use of informatics tools and translational approaches that move innovations from bench to bedside.

Seda Keskin Avcıمشاهده پروفایل

استاد

• Material Science
• Energy
• Artificial intelligence-guided material design and discovery
• +۲ مورد دیگر

Seda Keskin Avcı serves as Professor in the Chemical and Biological Engineering Department at Koç University, Istanbul, directing the Nanomaterials, Energy, and Molecular Modeling Research Group (NEMO). Appointed in 2010 and promoted to full professor in 2018, she holds the distinction of being Türkiye's youngest female professor in chemical engineering. Her research bridges computational modeling with experimental validation to develop advanced materials for sustainable energy solutions. Education: PhD, Georgia Institute of Technology (2009) MSc, Boğaziçi University (2006) BS, Boğaziçi University (2004) Professor Keskin's research focuses on AI-accelerated design of metal-organic frameworks (MOFs) and covalent organic frameworks (COFs) for gas separation and carbon capture. She pioneers integration of molecular simulations with machine learning to predict material properties, specializing in ionic liquid composites and flexible frameworks. Her work targets critical energy challenges including CO 2 /N 2 separation, hydrogen purification, and acetylene/ethylene processing through computational-guided material discovery. Analysis of her 2024-2025 publications reveals a decisive shift toward artificial intelligence integration in materials science, with 80% of recent work combining machine learning with molecular simulations. Key themes include high-throughput screening of MOF/COF databases, development of IL-MOF composites for enhanced selectivity, and exploration of framework flexibility effects. This interdisciplinary approach has established new methodologies for accelerating materials discovery cycles in porous media research. Scientific Awards: ERC Starting Grant (2017) ERC Consolidator Grant (2023) Outstanding Women in Chemical Engineering by Chemical Engineering Research and Design TÜBİTAK Incentive Award (2013) TÜBA Gebip Award (2012) Professor Keskin leads the NEMO research group with significant funding including two landmark ERC grants - Türkiye's first for a female engineer in this field. Her group operates at the intersection of computational chemistry and chemical engineering, developing open-source simulation frameworks while maintaining strong industry partnerships for membrane technology commercialization. Current projects focus on scaling AI-designed materials for industrial carbon capture applications. The Nanomaterials, Energy, and Molecular Modeling Research Group (NEMO) operates advanced computational infrastructure for molecular dynamics simulations and machine learning training. The group maintains collaborative ties with Georgia Tech, MIT, and European research consortia while actively developing experimental validation capabilities for computationally predicted materials through Koç University's nanotechnology center.

Nikolaos Papaspyrouمشاهده پروفایل

استاد

• Programming Languages
• Software Engineering
• Formal Verification
• +۴ مورد دیگر

Nikolaos Papaspyrou is a Professor at the School of Electrical and Computer Engineering of the National Technical University of Athens (NTUA) and a member of the Software Engineering Laboratory . His research focuses on the theory and implementation of programming languages, including semantics, type systems, compilers, static analysis, and formal verification. Since October 2021, he has been on leave from NTUA, working as a Software Engineer for Google in the memory management team for the V8 JavaScript and WebAssembly engine. He previously served as Director of the Division of Computer Science (2017-2019) and was on sabbatical with Google's compiler group in Munich (2015-2016). His work includes the RELEASE project (EU FP7 STREP) for reliable large-scale server software and uncertainty handling in distributed databases (European Social Fund). Ph.D. and Diploma in Electrical and Computer Engineering from NTUA M.Sc. in Computer Science from Cornell University His research interests span programming languages , software engineering , and formal verification , with recent publications on coinductive proofs in Liquid Haskell, concurrency semantics, and quantum compilation. He has supervised over 50 diploma projects and mentored numerous students now at institutions like MIT, Princeton, and UC Berkeley. Awards include conference organizing and program committee roles, though no formal scientific prizes are listed.

Leonardo Lanariمشاهده پروفایل

دانشیار

• Robotics
• Humanoid Locomotion
• Model Predictive Control (MPC)
• +۴ مورد دیگر

Leonardo Lanari is an Associate Professor at the Department of Computer, Control and Management Engineering (DIAG) of Sapienza University of Rome. His research focuses on robotics, particularly humanoid motion generation, model predictive control, and nonlinear control systems. He has contributed to advancements in gait stability, underactuated robotics, and remote robotic experiments through the REAL Lab. PhD in Systems Engineering from Sapienza University Visiting Scholar at Rensselaer Polytechnic Institute Research Interests Robotics (humanoid locomotion, flexible manipulators, underactuated systems), control theory (MPC, robust control), and large-scale system control. His work integrates geometric approaches with practical robotic implementations. Recent Article Trends Focus on model predictive control for humanoid stability, stair navigation, and cooperative transportation systems. 2025 studies emphasize feasibility-driven motion planning in complex environments. Scientific Awards 2020 IEEE Robotics and Automation Magazine Best Paper Award Teaching & Grants Teaches Control Systems and Multivariable Feedback Control at Sapienza. Has developed courses on underactuated robots and control problems in robotics. Involved in grants for healthcare AI platforms like CADUCEO and humanoid applications in aircraft manufacturing. Labs & Teams Membro del Robotics Lab at DIAG. Collaborates with international institutions including MIT, Rensselaer Polytechnic Institute, and Airbus on humanoid robotic projects.

Francesco Liberatiمشاهده پروفایل

دانشیار

• Control theory
• Model predictive control
• Cyber-physical systems
• +۱ مورد دیگر

Francesco Liberati is an Associate Professor in Automatic Control at Sapienza University of Rome, Department of Computer, Control and Management Engineering (DIAG). His research focuses on cyber-physical systems, model predictive control (MPC), and hybrid MPC-deep learning algorithms with applications to power systems, traffic control, and task scheduling. PhD in Systems Engineering from Sapienza University (2015) Assistant Professor (RTD-B) at Sapienza University (2021-2024) Assistant Professor (RTD-A) at eCampus University (2015-2017) Liberati’s work combines theoretical advancements in control theory with real-world implementations in smart grids and transportation systems. He has pioneered approaches integrating MPC with reinforcement learning for large-scale optimization problems, particularly in electric vehicle (EV) charging and grid reconfiguration. His recent publications emphasize: Stochastic and economic MPC for renewable energy storage Decentralized control algorithms for EV charging Cyber-physical security in microgrids and smart infrastructure Hybrid AI-control solutions for traffic and industrial systems Scientific recognition includes: 2021 Best Paper Award, IEEE World AI IoT Congress (AIIoT) 2021 Networked Systems Best Paper Award He serves as Associate Editor for Advanced Control for Applications (Wiley) and on the Editorial Board of Smart Cities (MDPI). His applied research spans European Commission H2020 projects and collaborations with industry partners in energy and transportation sectors.

Halit Usterمشاهده پروفایل

استاد

• Operations Research
• Network Optimization
• Logistics
• +۷ مورد دیگر

Halit Uster is Professor of Operations Research & Engineering Management at SMU’s Lyle School of Engineering and Professor of Civil & Environmental Engineering (by courtesy). A 2025 IISE Fellow, he also serves as Fellow of SMU’s Hunt Institute for Engineering and Humanity, where he leads large-scale optimization research with strong societal impact. Education Ph.D. in Management Science/Systems – McMaster University, Canada M.A. in Business Administration (Production/Operations Management) – Hacettepe University, Turkey B.S. in Mechanical Engineering – Middle East Technical University, Turkey Research Interests Uster develops optimization models and efficient algorithms for the design and analysis of networked systems. His work spans: Electric-vehicle charging and wireless power-transfer networks Emergency logistics and disaster-preparedness planning Bio-energy and biomass supply-chain networks Closed-loop supply chains with recycling and remanufacturing Relay and multi-commodity transportation networks to mitigate driver shortages Wireless sensor networks for environmental monitoring Publication Trends Over the past decade Uster has published extensively in Transportation Science , IISE Transactions , Transportation Research Part E , and Annals of Operations Research . His recent articles collectively advance decomposition-based exact algorithms (notably Lagrangean and Benders schemes), bilevel and robust optimization, and stochastic modeling of supply and demand uncertainty, all applied to socially critical infrastructure systems. Scientific Awards & Honors IISE Fellow (2025) Caterpillar Teaching Excellence Award, Texas A&M University (2011) Eshbach Society Distinguished Visiting Scholar, Northwestern University (2009) Faculty Appreciation Awards, INFORMS Student Chapters (2004, 2009) Multiple research features in IE Magazine (2008, 2010, 2017) Daniel H. Wagner Prize Finalist (2008) Moving Spirit Award, INFORMS (2007) Outstanding Faculty Member – University of Alabama (1999-2000) NSERC Postgraduate Scholarship (1997-1999) Grants & Doctoral Advising Uster has secured over $2 million in funding from NSF, USDA and industry, including four NSF grants since 2015 focused on disaster-preparedness logistics, EV-charging infrastructure, and biomass supply chains. He has graduated 17 PhD students who now hold positions in academia (IIM Udaipur, ITESM Mexico, St. Mary’s University) and industry (ExxonMobil, Norfolk Southern, FedEx, Sabre, NetJets, JD.com, BNSF Railway, etc.). Professional Service & Editorial Roles He is Department Editor of IISE Transactions on Supply Chains and Logistics (2024–present) and Associate Editor of Transportation Science (2018–present), previously serving on the editorial boards of IISE Transactions on Scheduling and Logistics and Sustainability Analytics and Modelling . He has chaired or co-chaired numerous INFORMS committees and conferences, including the upcoming TSL 2026 meeting at MIT.

• Digital Art
• New Media Art
• Internet Art
• +۵ مورد دیگر

Jon Thomson is an Associate Professor (Reader) in Fine Art at the Slade School of Fine Art, University College London, where he works with MA/MFA and PhD students. He is a visual artist specializing in digital and new media art, collaborating with Alison Craighead since 1993 under the name Thomson & Craighead. Their work explores how internet and communications networks transform our understanding of the world, examining the relationship between physical and digital space and how the internet alters our socio-political understanding of reality. Thomson studied at Duncan of Jordanstone College of Art in Dundee. In 1995, he co-founded The Slade Centre for Electronic Media in Fine Art (SCEMFA), bringing together artist-researchers working digitally on the cutting edge of contemporary art practice. He has maintained this research focus while developing his collaborative practice with Craighead. Thomson's research examines how the development of the internet has transformed perception of the world, particularly how our constant ability to be physically somewhere but virtually anywhere affects our understanding. His work considers the tension between global and local perspectives, and how modern communications inform our sense of place and self. Recent projects increasingly examine the impact of Big Data on society and how individuals can measure their experience against unfathomably large bodies of information and inhuman timescales. Thomson & Craighead's extensive exhibition history shows a consistent exploration of networked communication, with works spanning from early internet-based projects to contemporary explorations of genomic data and nuclear culture. Their practice demonstrates an evolution from examining basic internet infrastructure to addressing complex issues of data sovereignty, deep time, and the societal impacts of pervasive networked technologies. Thomson's research has been supported by significant funding including: AHRC small grant in the creative and performing arts (2007) Wellcome Trust Arts Award (£38,000) for Stutterer (2014) Collaborations with Channel 4 Television, Animate Projects, New Media Scotland, and Creative Scotland for Flat Earth Trilogy Thomson advises MA/MFA and PhD students at the Slade School of Fine Art. His collaborative practice has resulted in numerous exhibitions worldwide and three published monographs. They have developed innovative approaches to using live data streams, social media content, and scientific information as artistic materials, creating works that challenge conventional boundaries between art, technology, and science. Thomson co-founded SCEMFA, which remains a significant research center bringing together artist-researchers working at the intersection of digital technology and fine art. His work often involves interdisciplinary collaborations, such as with computational biologists at the University of Dundee and participation in the Nuclear Culture research project with Arts Catalyst London.

Julia Lawallمشاهده پروفایل

پژوهشگر

• Operating Systems
• Domain-Specific Languages
• Program Transformation
• +۴ مورد دیگر

Julia Lawall is a Senior Research Scientist (Directrice de Recherche) at Inria-Paris, where she leads research in the Whisper group. She has made significant contributions to the fields of programming languages, operating systems, and software engineering, with a particular focus on program transformation and Linux kernel development. Her work bridges theoretical computer science with practical software engineering challenges. Dr. Lawall's research primarily centers on the design and implementation of domain-specific languages for operating system problems, program transformation techniques, and automated software evolution. Her most notable contribution is the Coccinelle framework, which has been instrumental in automating the evolution of Linux device drivers for over a decade. Her work spans from theoretical foundations in optimal reduction of the lambda calculus to practical tools that address real-world software maintenance challenges in large-scale systems like the Linux kernel. Her publication record demonstrates consistent contributions across multiple domains, with recent work focusing on Android API evolution, Linux kernel bug detection, and program transformation techniques. The trajectory of her research shows a progression from theoretical programming language concepts to increasingly practical applications in system software maintenance and evolution. EuroSys Test of time award for 'Documenting and Automating Collateral Evolutions in Linux Device Drivers' at EuroSys 2008 Best paper award for 'Diagnosys: Automatic Generation of a Debugging Interface to the Linux kernel' at ASE 2012 Most Influential ICFP Paper Award for foundational work on lambda calculus Best Reviewer at GPCE 2020 and Distinguished Reviewer at ASE 2020 Dr. Lawall has been actively involved in the academic community, serving as program co-chair for numerous prestigious conferences including ASE 2019, FSE 2026, and EuroSys 2025. She has also contributed to community initiatives as the Linux kernel coordinator for Outreachy (2015-2018) and as a member of the advisory board for Software Heritage. Her leadership extends to editorial roles, including associate editor for Higher-Order and Symbolic Computation and membership on the editorial board of Science of Computer Programming. She leads the Whisper research group at Inria-Paris, which focuses on program transformation techniques and their applications to system software. The group has developed several influential tools including Coccinelle, Coccinelle4J, LiLiput, Prequel, and JMake, which have had substantial impact on both academic research and industrial practice in software maintenance and evolution.

Ben Hermannمشاهده پروفایل

استاد

• Programming Languages
• Security
• Static Analysis
• +۶ مورد دیگر

Ben Hermann is a Professor for Secure Software Engineering at Technische Universität Dortmund, Germany, with research focusing on the intersection of programming languages and security. His work primarily centers on vulnerability detection using static analysis, risk assessment of software libraries, security guarantees in type systems, and language-based security. His academic journey includes a doctoral degree from Technische Universität Darmstadt in 2016, followed by postdoctoral work in Eric Bodden's Secure Software Engineering Group at the Heinz Nixdorf Institute. Since 2020, he has held a tenure-track professorship at TU Dortmund, after serving as an interim Professor for IT Security at Paderborn University from October 2019 to September 2020. Hermann's research portfolio demonstrates consistent output in static program analysis frameworks, particularly with contributions to Soot and PhASAR. His work spans vulnerability detection, analysis reusability, and research quality in computer science, with emphasis on artifact evaluation. His recent publications show progression from framework development toward security applications and research methodology. Hermann has been actively involved in numerous conferences including ASE, ICSE, ECOOP, and SPLASH, often serving in program committees and as session chair. His research group at TU Dortmund includes students like Maximilian Krebs who presented work on energy consumption prediction of programs. He maintains an active presence in the academic community, advocating for research quality and reproducibility, and serves in various organizational roles including Doctoral Symposium Chair and Diversity & Inclusion Chair for conferences.