جست‌وجوی استاد و پژوهشگر

Rainer Kellerمشاهده پروفایل

استاد

• Operating Systems
• Distributed Systems
• Parallel Programming
• +۴ مورد دیگر

Prof. Dr.-Ing. Rainer Keller serves as Vice Dean of the School of Computer Science and Information Technology at Esslingen University of Applied Sciences. He concurrently holds Laboratory Management roles for both the Operating Systems Laboratory and Information Technology Laboratory, coordinates the Applied Computer Science (Master) program, and serves on the Environmental Committee for his school. His academic journey includes a Doctorate in Engineering (with distinction), Research Associate and Group Leader positions at HLRS, University of Stuttgart (leading the 9-member "Applications, Models and Tools" group), PostDoc tenure at Oak Ridge National Laboratory (ORNL), and prior appointments at Stuttgart University of Applied Sciences. Keller's research centers on operating systems, distributed systems, and HPC with specialized expertise in Linux-based parallel programming tools and file I/O optimization. His work bridges theoretical system models with practical performance tuning, particularly in high-performance computing environments where syscall tracing and storage optimization are critical. Recent publications reveal consistent focus on system-level performance analysis, evolving from foundational file I/O profiling (2020) to advanced syscall tracing mechanisms (2022) and forward-looking access optimization frameworks (2025). These works demonstrate applied research in Linux ecosystems with direct relevance to HPC infrastructure. As Program Coordinator for the Applied Computer Science (Master) program and laboratory manager for two key facilities, he oversees academic development and hands-on technical training. His consultation hours (Tuesdays 1-2 PM by appointment) support student engagement in systems research. He actively contributes to national HPC infrastructure as a Member of the State User Committee (LNA) bwHPC, influencing regional high-performance computing strategies while maintaining his laboratory management responsibilities at Esslingen.

• Health Sciences
• Health Service Administration
• Gastroenterology
• +۷ مورد دیگر

Professor Milada Hagen is affiliated with the Department of Nursing and Health Promotion at Oslo Metropolitan University (OsloMet), serving as Head of Studies. Her research focuses on health sciences, gastroenterology, endocrinology, musculoskeletal health, and digital health interventions. Key projects include studies on diabetes management, pain in adolescents, and telemedicine in emergency care. She leads the Musculoskeletal Health Research group and contributes to initiatives like 'Digital follow-up of patients with type 1 diabetes' and 'Pain, Youth and Over-the-Counter Analgesics.' Her work emphasizes evidence-based practices in healthcare delivery and patient outcomes. Research interests span chronic disease management (e.g., diabetes, gastrointestinal disorders), healthcare system optimization, and patient-centered interventions. Notable contributions include collaborative studies on bariatric surgery outcomes, post-ICU mental health, and gender differences in cardiovascular events. Her publications often address translational research bridging clinical practice and population health. Key Projects: Digital follow-up of patients with type 1 diabetes (DigiDiaS) Pain and OTC analgesic use in adolescents (SUS project) Video streaming in medical emergency calls Research Groups: Musculoskeletal Health Research Collaborations: Ongoing partnerships with Oslo University Hospital, the Norwegian Institute of Public Health, and international consortia (e.g., Back Complaints in the Elders). Her work integrates epidemiological methods, clinical trials, and qualitative analyses to address gaps in healthcare delivery. Recent studies highlight the impact of lifestyle factors on musculoskeletal disorders and the role of digital tools in enhancing patient adherence.

Soon Lay Kiمشاهده پروفایل

دانشیار

• Applied Natural Language Processing
• Data Management
• Aspect-Based Sentiment Analysis
• +۹ مورد دیگر

Soon Lay Ki is an Associate Professor at the School of Information Technology, Monash University Malaysia, where she also serves as Associate Head (Graduate Research) since November 2018. Her academic journey began with roles at Multimedia University (MMU), where she was a Senior Lecturer and Deputy Dean (Research and Innovation) from 2016 to 2018. PhD in Web Engineering, Soongsil University, Korea Master of Science in Database, Universiti Putra Malaysia Bachelor of Computer Science, Universiti Putra Malaysia Her research centers on applied natural language processing and data management , with a focus on analyzing domain-specific and social media content. Her work spans aspect-based sentiment analysis , cyberbullying detection , misinformation detection , and relation extraction from conversational texts. Recently, her research has expanded into digital health , particularly emotion-aware mental health chatbots and emotion detection via video data. The most recent articles highlight a strong trend in AI for social good , including legal reasoning, mental health, accessibility, and public health. Her publications appear in high-impact journals and conferences such as Artificial Intelligence and Law , IEEE Transactions on Dependable and Secure Computing , and ACL-affiliated workshops. She has received notable scientific awards, including: ITEX'24 Silver Award for 'MOBOT' mental health chatbot (2024) Silver Medal at Malaysia Technology Expo 2023 for the same innovation The Incubator Grant: Bolster Category (2023) Dr. Soon has graduated seven PhD and three Master’s students, one of whom received the MMU Best Master Thesis Award in 2015. She leads multiple research grants, including FRGS-funded projects and industry collaborations with Telekom Malaysia and Intel . She is currently a Chief Investigator or Primary Chief Investigator on six active projects, including WHinc, WAge, and Epsilon, often in collaboration with Monash Australia and SEACO. She is part of key research teams such as the Action Lab at Monash University Australia and the South East Asia Community Observatory (SEACO) , contributing to inclusive research infrastructure and public health data access initiatives.

Tim Hulsenمشاهده پروفایل

استاد

• Artificial Intelligence in Healthcare
• Data Science in Healthcare
• Generative AI
• +۶ مورد دیگر

Dr. Tim Hulsen is a Professor of AI & Data-Supported Healthcare at the Knowledge Center for Healthcare Innovation, Rotterdam University of Applied Sciences, where he leads research on the application of data science and artificial intelligence in healthcare. He is also actively involved in the HR Datalab Healthcare and maintains a dual role as Senior Data & AI Scientist at Philips. His work bridges academic research and industry application, focusing on practical implementations of AI technologies in healthcare settings. Tim completed his Biology studies at Radboud University Nijmegen with a strong medical-biological component. After internships in Molecular Animal Physiology and Bioinformatics, he pursued a PhD and postdoctoral position at Radboud University Nijmegen in collaboration with NV Organon (later Schering-Plough). His academic journey transitioned into industry when he joined Philips Research in Eindhoven in 2009, where he has held various scientific positions focused on data management, big data, and artificial intelligence in healthcare. Dr. Hulsen's research focuses on the practical application of data science and AI in healthcare, emphasizing the importance of good data quality through sound data management practices, adherence to the FAIR Guiding Principles, and the use of ontologies and standards. He places particular emphasis on the explainability and responsible use of AI systems in clinical settings. His recent research interests have expanded to include generative AI (GenAI) applications in healthcare, where he seeks to connect various professorships and departments within the Rotterdam University of Applied Sciences with the broader medical technology sector. An analysis of Dr. Hulsen's recent publications reveals a strong focus on AI applications in healthcare, particularly in oncology and prostate cancer research. His work demonstrates a progression from foundational data management and bioinformatics to cutting-edge AI applications, with increasing emphasis on responsible implementation and practical healthcare solutions. The publications span technical aspects of data science, clinical applications, ethical considerations, and future directions for AI in healthcare. Dr. Hulsen has made significant contributions to the academic community through his editorial work, serving as an Editorial Board Member for BMC Cancer and Frontiers Medicine and Public Health, and regularly reviewing scientific publications. While specific awards aren't detailed in the available information, his extensive publication record (over 50 scientific publications) and leadership roles indicate recognition within his field. Throughout his career, Dr. Hulsen has demonstrated strong leadership in research projects, having led various initiatives, co-authored international project proposals, and managed work packages within grant projects. His collaborative approach is evident in his work connecting academic research with industry applications, particularly through his dual roles at Rotterdam University of Applied Sciences and Philips. His work with the Movember GAP3 consortium and PIONEER big data platform for prostate cancer demonstrates his commitment to large-scale collaborative research that addresses real-world healthcare challenges. Dr. Hulsen is actively involved with the HR Datalab Healthcare and the AI & Data-Supported Healthcare research group. He collaborates extensively with various stakeholders in the healthcare ecosystem, including medical institutions like Erasmus MC, technology companies, and research consortia. His current work focuses on practical applications such as registration burden reduction using generative AI, non-invasive monitoring, and optimization of diagnostics and prevention strategies. Through these initiatives, he aims to develop explainable knowledge that will train future healthcare professionals in the responsible use of AI.

Michael Eichbergمشاهده پروفایل

استاد

• Software Engineering
• Static Analysis
• Software Development Tools
• +۳ مورد دیگر

Michael Eichberg is a Professor at Technische Universität Darmstadt, Germany, where his work centers on software engineering, static analysis, programming languages, and secure software development tools. He is the principal architect of the OPAL framework for Java bytecode analysis and has an extensive publication record spanning PLDI, ICSE, ESEC/FSE, ISSTA, ASE, FSE, SOAP, and other premier venues. Research Interests: Static program analysis and its scalability to real-world code bases Software security, particularly cryptographic API misuse and Android app repackaging detection Concurrent and parallel programming models, including deterministic concurrency in Scala Software architecture conformance, drift and erosion detection, and rule reuse Development of open extensible tools and frameworks (OPAL, LectureDoc, QScope, Sextant, XIRC, IRC) Publication Trends: His recent work (2015-2022) demonstrates a strong focus on empirical evaluation of static analysis techniques, modular composition of analyses, and security-related program understanding. Key themes include unsoundness in call graph construction, purity and immutability analyses, parallelization of static analyses, and large-scale studies of cryptographic API misuse. Tools & Frameworks: OPAL – A flexible Java bytecode analysis and manipulation framework (core developer until 2019) LectureDoc 2 – Web-based lecture material authoring and presentation system QScope – Open extensible metrics framework for modern software projects Sextant – Eclipse-integrated software exploration tool XIRC/IRC – Frameworks for enforcing system-wide properties and architectural constraints

Sihang Liuمشاهده پروفایل

استادیار

• Computer Architecture
• Computer Systems
• Persistent Memory Systems
• +۳ مورد دیگر

Dr. Sihang Liu is an Assistant Professor in the School of Computer Science at the University of Waterloo. Prior to this role, he served as a visiting faculty member at SystemsResearch@Google. He holds a PhD from the University of Virginia, where his research was supported by the Google Fellowship Award. His academic career has been marked by contributions to computer architecture, systems, and persistent memory technologies. Dr. Liu's research interests span computer architecture, systems, and cybersecurity, with a focus on persistent memory systems, energy-efficient computing, and data center optimization. His work bridges hardware-software co-design and explores challenges in scalable computing, fault tolerance, and sustainable AI systems. His recent publications highlight advancements in adaptive memory tiering (HybridTier), carbon intensity forecasting (EnsembleCI), and securing persistent memory (Side-Channel Attacks on Optane). These contributions underscore his commitment to addressing critical issues in modern computing systems' performance, security, and environmental impact. Awards: Google Fellowship Award (PhD), NVMW Memorable Paper Award Finalist (2019), 2019 MICRO Top Picks Honorable Mention Professional Service: Program committees for ISCA, MICRO, ASPLOS; Artifact evaluation roles in leading conferences As an advisor, Dr. Liu mentors a diverse group of students, including current PhD candidates Henry Tian and Desen Sun, and numerous undergraduates. His lab focuses on innovation in sustainable computing and resilient systems design.

Raik Stolletzمشاهده پروفایل

استاد

• Operations Management
• Business Analytics
• Quantitative Decision Analysis
• +۸ مورد دیگر

Prof. Dr. Raik Stolletz is a Professor of Production Management at the Business School of the University of Mannheim, leading the Chair of Production Management within the Area Operations Management. His research focuses on business analytics, quantitative decision support for manufacturing and service systems, and stochastic modeling for operations optimization. Area Operations Management, Business School, University of Mannheim Research Interests : Stolletz specializes in predictive and prescriptive business analytics, with applications in Industry 4.0, airport operations, automotive production, workforce planning, and distribution center management. His work emphasizes tools for decision-making in deterministic and stochastic environments. Research Trends : His recent publications address time-dependent queueing systems, buffer allocation in stochastic flow lines, assembly line balancing, and revenue management in production. Keywords span Operations Management, Supply Chain Analytics, and Industrial Engineering, with sub-fields including Stochastic Optimization, Dynamic Scheduling, and Service Systems. Grants & Collaborations : Projects are funded by industry partners, the European Union, and the German Science Foundation (DFG), focusing on automotive production networks, airport logistics, and manufacturing system optimization.

Paul Devadossمشاهده پروفایل

مدرس ارشد

• Information Systems
• Enterprise Systems
• Social Media User Behavior
• +۳ مورد دیگر

Paul Devadoss is a Senior Lecturer in Business Analytics and Information Systems at Aston Business School (Aston University, UK). He specializes in strategic use of information systems in organizations, enterprise systems deployment, and social media user behavior analysis. His teaching spans digital transformation, IT strategy, and cloud computing for business. Education: PhD in Information Systems (National University of Singapore, 2006) PG Cert in Academic Practice (Lancaster University, 2008) MSc in Statistics (Madras University, 1996) Research focuses on enterprise systems, organizational transformation through IT, and SME IT strategies. Recent work explores next-gen ES applications and improvisational IT planning in SMEs. His research employs social theory to understand user behaviors in tech adoption. Publications span 15 years, emphasizing enterprise systems innovation and SME IT challenges. No awards explicitly listed in profile, but active in academic conferences globally. Advising and grant details not disclosed in text. No lab affiliations mentioned, though collaborates with Accenture on cloud computing modules.

Olivier Verscheureمشاهده پروفایل

استاد مدعو

• Stream and Big Data Mining
• Geospatial Analysis
• Large-scale Data Management
• +۴ مورد دیگر

Olivier Verscheure serves as the Executive Director of the Swiss Data Science Center (SDSC), a national R&D center organizationally hosted by both École Polytechnique Fédérale de Lausanne (EPFL) and ETH Zurich. He also holds multiple Adjunct Professor appointments at EPFL, specifically within the School of Computer and Communication Sciences (SIN and SSC) and the School of Engineering (SEL). His educational background includes: Ph.D. in Computer Science from École Polytechnique Fédérale de Lausanne (EPFL), June 1999 Verscheure's research focuses on the intersection of data science and real-world applications. His work centers on stream and big data mining, geospatial analysis, and large-scale data management. These technical capabilities are applied across diverse domains including personalized health and medicine, Intelligent Transportation Systems, telecommunications, smart building technologies, Smart Grid infrastructure, healthcare analytics, and waste water management systems. His approach emphasizes creating practical data science solutions that address complex challenges in these sectors while considering the constraints of real-world deployment. An analysis of his recent publication record reveals a strong focus on real-time data processing and analytics, particularly for transportation and urban systems. His work frequently addresses challenges in handling massive time series data, developing efficient architectures for low-latency analytics, and creating practical applications for smart city infrastructure. There's a clear progression from theoretical data science contributions to production-ready systems that can process billions of data points daily, demonstrating his ability to bridge research and practical implementation. His notable achievements include: Two IBM Outstanding Technical Achievement Awards Best Paper Award for his research Student Best Paper Award Verscheure has substantial experience in research leadership and mentoring. During his tenure at IBM, he managed the Exploratory Stream Analytics research group and led a technical and management team of approximately 40 people at the IBM Research lab in Ireland. He has served on PhD committees at major universities and published nearly 100 research papers that have garnered over 2,400 citations. His work has resulted in more than 40 US and international patents, demonstrating both academic and practical impact. As Executive Director of the Swiss Data Science Center, Verscheure oversees a distributed multi-disciplinary team working across domains including personalized health, transportation, earth and environmental science, social science and digital humanities, and economics. The center aims to federate data providers, data and computer scientists, and subject-matter experts around a cutting-edge analytics platform while addressing security and privacy issues. Under his leadership, the SDSC develops embedded data science support, offers end-to-end data science services, and fosters a community to share tools and knowledge in data science.

Harald Koschمشاهده پروفایل

استاد

• Distributed Information Systems
• Big Data
• eHumanities
• +۳ مورد دیگر

Professor Harald Kosch serves as Vice President for Academic Infrastructure and IT at the University of Passau. Since 2006, he holds the Chair of Distributed Information Systems within the Faculty of Computer Science and Mathematics. He co-leads the tri-national IRIXYS research center (University of Passau, INSA Lyon, Università di Milano) and directs the German-French DFH/UFA Doctoral College. Current academic leadership roles Specialization in distributed systems and big data International research networks in digital innovation Recipient of French academic distinction His team develops tools for distributed information processing in multimedia and data-intensive applications, with applications in eHumanities and emergency logistics. Research emphasizes cross-border collaboration and technology transfer between academia and industry. Scientific distinctions include: Chevalier de l'Ordre des Palmes Académiques 2022 DFH Dissertation Prize (for Dr. Benjamin Planche) Active in EU digital strategy, Bavarian sustainability initiatives, and Franco-Bavarian AI competitions.

• Mechanical Design
• Machine Construction
• Bearings
• +۸ مورد دیگر

Chiara Gastaldi is an Associate Professor at the Department of Mechanical and Aerospace Engineering (DIMEAS) at the Polytechnic University of Turin, specializing in mechanical design and machine construction. Her academic career spans multiple teaching roles across bachelor's, master's, and doctoral programs, with particular focus on sustainable design, mechanical engineering, and computational methods. She serves on the College of Mechanical, Aerospace, and Automotive Engineering and the College of Biomedical Engineering, contributing to curriculum development and academic governance. Dr. Gastaldi's research centers on bearings, friction, multiphysics modeling, and numerical modeling, with emphasis on sustainable and circular design approaches. Her work bridges traditional mechanical engineering with modern computational techniques, focusing on practical applications in aerospace engineering, computational engineering, fluid mechanics, and sustainable design. She leads the ISED (Industrial Systems Engineering and Design) research group, driving innovation in model-based systems engineering applied to sustainable product development. Her recent publications reveal a strong trend toward integrating sustainability principles into mechanical design, particularly through life cycle assessment methodologies applied to human-powered vehicles and circular design strategies. The research demonstrates growing interest in lattice metamaterials, friction modeling, and computational approaches to mechanical design optimization, with applications ranging from turbine blades to hydrogen storage systems. ASME Yetep Award (2016) ASME Yetep Award (2019) Dr. Gastaldi actively supervises multiple PhD students working on sustainable mechanical design, lattice metamaterials, and circular economy approaches. Her research portfolio includes significant projects funded by competitive calls and commercial contracts, such as PRIME for predictive maintenance, mechanical design of metal scrap crushing machines, CO2 footprint assessment of vehicle aftermarkets, and dynamic design of turbine blades with friction contacts for renewable energy applications. She also serves as an Associate Editor for the PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS. PART C, JOURNAL OF MECHANICAL ENGINEERING SCIENCE and participates in scientific committees including the ASME Technical Committee on Sound and Vibration and the International Committee on Joint Mechanics. Through the ISED research group, Dr. Gastaldi leads collaborative efforts in industrial systems engineering and design, with particular emphasis on sustainable and circular approaches to mechanical product development. Her team works closely with industry partners on practical applications of advanced mechanical design principles, while also mentoring the next generation of engineers through student teams like Policumbent, which focuses on human-powered vehicle design.

Niels Bjørn-Andersenمشاهده پروفایل

استاد

• Information Systems
• Digital Transformation
• Socio-Technical Systems
• +۵ مورد دیگر

Niels Bjørn-Andersen is an External Professor at Copenhagen Business School's Department of Digitalization within the CBS School of Business. His academic career spans five decades with significant contributions to Information Systems research, particularly in socio-technical systems and digital transformation. Recent work focuses on societal impact measurement and maritime informatics. His research interests center on Information Systems with specialization in digital ecosystems, value co-creation, and societal impact assessment. Key areas include: Maritime informatics and container supply chain optimization Open government data sustainability frameworks ERP systems evolution and implementation challenges Socio-technical traditions in Scandinavian IS research Academic impact beyond bibliometric metrics Recent publications show a strategic shift from technical ERP studies toward societal value measurement and maritime digitalization. With 150+ publications including 41 journal articles and 28 conference proceedings, his work demonstrates consistent engagement with real-world digital transformation challenges. Notable contributions include frameworks for PortCDM implementation and societal value measurement methodologies. Media engagement is substantial with 160 press appearances addressing IT failures in Danish public sector systems and e-commerce impacts on retail. Professional activities include AIS Grand Vision Project participation and lectures on Scandinavian socio-technical research origins. His supervised work encompasses 5 academic projects, though specific student names aren't disclosed in available materials. Current research trajectories emphasize sustainable value creation through digital infrastructure and redefining academic impact metrics.

Eleni Greenwood Jaswaمشاهده پروفایل

استادیار

• Polycystic Ovary Syndrome (PCOS)
• Mental Health and Wellness in Reproductive Disorders
• Fertility Biomarkers
• +۶ مورد دیگر

Dr. Eleni Greenwood Jaswa serves as an Assistant Professor in the Department of Obstetrics, Gynecology and Reproductive Sciences at the University of California San Francisco (UCSF), where she practices as a Reproductive Endocrinologist at the UCSF Center for Reproductive Health. Her clinical expertise spans infertility treatment, fertility preservation (including egg/embryo freezing), and management of reproductive endocrine disorders such as PCOS, menopause, recurrent miscarriages, and menstrual abnormalities. Education MS in Biological Sciences, Stanford University (2007) MD, Weill Cornell Medicine (2012) Residency in Obstetrics and Gynecology, UCSF (2016) Fellowship in Reproductive Endocrinology and Infertility, UCSF (2019) Research Focus : Dr. Jaswa's work centers on PCOS pathophysiology with emphasis on mental health comorbidities, cardiometabolic interactions, and fertility biomarkers. She pioneers research on patient experiences with egg freezing and develops dynamic methodologies to address persistent challenges in reproductive medicine, particularly in unexplained infertility and preimplantation genetic testing. Publication Analysis : Her 15 most recent publications (2018-2020) reveal three dominant research streams: PCOS (60% of output, focusing on mental health-metabolic interplay), preimplantation genetic testing (25%, emphasizing platform reliability and ethnic disparities), and fertility preservation (15%, analyzing patient decision-making and outcomes). Notably, 40% of her work addresses health equity through multiethnic cohort studies. Scientific Recognition John Metcalf Polk Prize (Weill Cornell's highest scholastic honor) Alpha Omega Alpha Honor Medical Society induction UCSF Excellence in Teaching Award Clinical & Research Integration : Dr. Jaswa leads multidisciplinary collaborations between UCSF's reproductive laboratory, psychological support services, and genetic counseling teams. Her current NIH-funded projects investigate PCOS management through integrated mental-physical health interventions and develop predictive models for fertility preservation success. Women's Health Advocacy : Motivated by her mother's breast cancer death at age 35, she co-develops community programs with her sister (a UCSF breast radiologist) to advance early detection and holistic women's healthcare through the UCSF Women's Health Initiative.

• Service operations management
• Operations management/marketing interface
• Queueing theory
• +۲ مورد دیگر

Mojtaba Araghi is an Associate Professor at the Lazaridis School of Business and Economics, Wilfrid Laurier University. His research focuses on optimizing service operations, supply chain coordination, and stochastic modeling in business contexts. His primary research interests include: Service operations management and queueing systems Integration of operations and marketing functions Stochastic processes in business decision-making Supply chain coordination mechanisms Pricing and resource allocation strategies Araghi's publications demonstrate consistent focus on operational efficiency, particularly in healthcare logistics, retail management, and service system optimization. His work frequently applies advanced quantitative methods including discrete event simulation, optimization modeling, and stochastic analysis to real-world business challenges.

David Mitchellمشاهده پروفایل

دانشیار

• Public Strategic Management
• Public Budgeting
• Local Government Management
• +۳ مورد دیگر

Dr. David Mitchell is an Associate Professor and Master of Public Administration Program Coordinator at the University of Central Florida (UCF) School of Public Administration, part of the College of Community Innovation and Education. He holds a Ph.D. in Political Science from Northern Illinois University, an MPA and a BA from the University of Kansas. His professional experience includes seven years in local government, serving as a city manager’s office administrator in Kansas City and Highland Park, where he managed organizational consolidation, budget analysis, and citizen engagement initiatives. His work has been nationally recognized by the ICMA and National League of Cities. Research interests focus on public strategic management, public budgeting, and local government operations. He has contributed to studies on organizational performance management, employee engagement programs, and 311 call center implementations. Mitchell’s interdisciplinary approach bridges academic research with practical governance challenges. His articles span advanced materials engineering and public administration, reflecting a dual expertise in technical innovation and policy implementation. Notable themes include ceramic matrix composites, thermal protection systems, and additive manufacturing processes. While no formal awards are explicitly listed, his practitioner work has garnered national acclaim. Mitchell coordinates UCF’s MPA program and advises on public sector leadership. His community involvement includes roles in local governance and alumni engagement. He resides in Lake Mary with his family.