جست‌وجوی استاد و پژوهشگر

Alexander Gerhard Lercherمشاهده پروفایل

پژوهشگر ارشد

• Software Engineering
• Microservice Architectures
• API Evolution
• +۳ مورد دیگر

Alexander Gerhard Lercher is a University Assistant and PhD candidate at the University of Klagenfurt, Austria, within the Department of Informatics Systems. He conducts research in the Software Engineering Research Group (SERG) under Prof. Martin Pinzger, focusing on microservice architectures, API evolution, and automated repair techniques. His work bridges theoretical software engineering with practical industry challenges in distributed systems development. Education Master of Science (Dipl.-Ing.) in Distributed Systems, University of Klagenfurt, 2021 (awarded with distinction) Research Focus Lercher's research centers on critical challenges in modern microservice ecosystems. He investigates API evolution patterns through empirical studies of developer practices while developing technical solutions for automated API documentation generation and repair. His work addresses pain points in maintaining backward compatibility during service evolution and improving developer productivity through tool-supported approaches. The research demonstrates strong alignment with industry needs in cloud-native application development. Publication Trends His 2020-2024 publications reveal a concentrated focus on microservice API evolution, with 2024 representing peak productivity (3 publications). Core contributions include empirical analyses of evolution challenges and technical solutions for OpenAPI generation. Notable interdisciplinary extensions appear in social network analysis (2023) and blockchain energy systems (2021), showcasing collaborative research breadth while maintaining software engineering as the central theme. Awards Master's degree with distinction (2021) Academic Activities As a University Assistant, Lercher participates in departmental research activities while advancing his PhD. His position provides institutional support for research within SERG, though specific grant funding isn't detailed. He maintains an active publication record in software engineering venues while contributing to interdisciplinary projects. The role serves as a critical training phase for his academic career development. Research Environment Lercher operates within the Software Engineering Research Group (SERG) at the University of Klagenfurt, which provides a collaborative framework for investigating contemporary software engineering challenges. The group's focus on microservices and API-related research creates an environment conducive to his specific expertise in evolution management and automated repair techniques.

Kyri Bakerمشاهده پروفایل

استادیار

• Power Systems Optimization
• Renewable Energy Integration
• Building-to-Grid Interactions
• +۴ مورد دیگر

Dr. Kyri Baker is an Assistant Professor in the Department of Civil, Environmental, and Architectural Engineering at the University of Colorado Boulder. She leads the GRIFFIN Lab, focusing on power systems optimization, renewable energy integration, and the water-energy nexus. Her research addresses challenges in grid resiliency, machine learning applications, and energy justice. Dr. Baker has secured grants from entities like the Deloitte Climate Innovation Collaboratory and the Alfred P. Sloan Foundation. She is currently on parental leave and sabbatical until January 2026. Research Interests : Power systems optimization, renewable energy integration, building-to-grid interactions, machine learning for energy systems, water-energy nexus studies, stochastic optimization, and energy policy analysis. Recent Articles : Recent work includes counterfactual ML approaches for grid feasibility, environmental justice in energy burden analysis, and spatial arbitrage via EV charging. Dr. Baker's publications span interdisciplinary topics like conjunctive water-power network operation and climate policy challenges. Awards : Dean's Performance Award (2023), Provost's Faculty Achievement Award (2023) Advising & Grants : Supervised PhD students Eli Evers, Aisling, and Jim. Notable grants include $400k from ARPA-E and funding for EV infrastructure studies. Collaborates with institutions like Johns Hopkins University and Lawrence Livermore National Lab. Labs/Teams : Directs the GRIFFIN Lab, which develops frameworks like EDGIE for electrification impacts and GNOMES for energy system optimization games.

Hongying Daiمشاهده پروفایل

استاد

• Statistical Modeling
• Tobacco Policy Research
• Big Data Analytics
• +۳ مورد دیگر

Hongying (Daisy) Dai, PhD is Professor in the Department of Biostatistics and Epidemiology at the UNMC College of Public Health, where she also serves as Associate Dean of Research. She is a full member of the Fred & Pamela Buffett Cancer Center. Her research focuses on statistical methodology applied to public health challenges including tobacco policy, social media analytics using big data, and genomic studies. Education: 2006 PhD Statistics, University of Kentucky 2004 MS Statistics, University of Kentucky 2004 MS Mathematics, University of Kentucky 1997 BS Economics, University of International Business and Economics Research Focus: Dr. Dai develops statistical models for tobacco policy evaluation, social media surveillance (Google Trends/Twitter data), genome-wide association studies, and hierarchical modeling. Her work bridges advanced statistical theory with real-world public health applications. Publication Trends: Her recent articles (2023-2025) cluster around tobacco control epidemiology, biomarkers of exposure, vaping behavior patterns, and health disparities research using advanced statistical modeling techniques. Research Funding: Robert Wood Johnson Foundation: Tobacco 21 policy analysis NIH/FDA: Tobacco retailer inspections impact study Health Forward Foundation: Kansas City Tobacco 21 evaluation NU Planning Grant: Youth vaping prevention

• Cybersecurity
• Machine Learning
• Federated Learning
• +۵ مورد دیگر

Jin-Hee Cho is a prominent researcher actively contributing to computer science domains since 2018, with over 35 publications in 2024-2025 alone. She focuses on cybersecurity, machine learning, and interdisciplinary applications across autonomous systems, smart farms, and social media safety. Coauthor network includes: Terrence J. Moore (63), Feng Chen (31), Dong Seong Kim (28), Frederica Nelson (24), Hyuk Lim (24) Publishes in venues: IEEE Transactions, ACM, MILCOM, DSN, KDD, ICWSM Research Trends (2024-2025): Uncertainty quantification in deep learning systems Federated learning for sustainable agriculture monitoring Bayesian network modeling for autonomous vehicle security Combating cybergrooming through dialogue generation Her work bridges technical cybersecurity with social dimensions, as seen in publications about social capital-based defense mechanisms and disinformation resilience frameworks.

Francesco Capozzaمشاهده پروفایل

پژوهشگر ارشد

• Mental Health
• Public Economics
• Political Economy
• +۲ مورد دیگر

Francesco Capozza is a Research Fellow at the WZB Berlin Social Science Center, affiliated with the Information, Incentives, and Inequality research group since 2024. Previously, he served in the Economics of Change research unit (2023-2024). He holds a Ph.D. in Economics from Erasmus University Rotterdam (2023), an M.Phil from Tinbergen Institute (2019), an M.Sc. from Barcelona School of Economics (2017), and a B.A. from University of Trento (2016). Research Focus Dr. Capozza's interdisciplinary research integrates behavioral economics with public policy analysis. His primary investigations examine mental health economics, political economy frameworks, and machine learning applications in social science. Current projects explore how information interventions affect decision-making in cybersecurity, mental health utilization, and political preference formation. Publication Trends His recent articles demonstrate a consistent focus on experimental methodologies applied to behavioral economics. Dominant themes include cognitive mechanisms in decision-making, mental health interventions, and socioeconomic behavior analysis. Methodologically, his work emphasizes field experiments and machine learning techniques to study real-world economic behaviors. Awards & Recognition CESifo Distinguished Award in Public Economics (2024) Research Leadership Dr. Capozza leads significant experimental research including a Netherlands-based RCT on mental health literacy among university students (AEA RCTR-0008406), funded through Erasmus University. His grants include RSF Small Grant BE and URPP 'Equality of Opportunities' funding for welfare economics research.

Panayiotis Andreouمشاهده پروفایل

دانشیار

• Data Management
• Adaptive Computing
• eHealth
• +۳ مورد دیگر

Panayiotis Andreou holds the position of Deputy Head of the School of Sciences and is an Associate Professor in Data Management at the University of Central Lancashire Cyprus (UCLan Cyprus). He is also the Course Leader for the MSc Data Analytics program. His academic journey includes a PhD in Computer Science (University of Cyprus, 2011), an MSc in Advanced Computer Technologies (2006), and a BSc in Computer Science (2003). He became a Fellow of the Higher Education Academy in 2016. Roles: Deputy Head (School of Sciences), Associate Professor, MSc Data Analytics Course Leader Research Interests: Data Management, Adaptive Computing, eHealth, Ambient Assisted Living Administrative Roles: Senate Member, Innovation and Enterprise Committee Chair, Internships Coordinator His research focuses on optimizing data systems for networks and healthcare, with contributions to wearable technologies, mobile applications, and elderly care systems. He has supervised PhD projects on adaptive visualizations and data management frameworks. Key grants include leadership on EU-funded projects like SLICES-DS (€2.9M) and RegTek (€1M), as well as national grants such as IDEALVis (€250K). He has also led cybersecurity and environmental monitoring initiatives like FireWatch (€160K). Awarded the Best PhD Award (EWSN’2012), eHealth Award for DITIS, and World Summit Award (WSA) for innovative healthcare systems. His outreach includes co-founding InSPIRE and serving on EU evaluation panels.

NECLA TEKTAŞمشاهده پروفایل

استاد

• Smart Transportation Systems
• Data Science
• Econometrics
• +۵ مورد دیگر

Prof. Dr. Necla Tektaş is a Professor of Econometrics at the Faculty of Economics and Administrative Sciences, Bandırma Onyedi Eylül University. She holds leadership roles, including Head of the Department of Econometrics and ERASMUS Coordinator. Her academic journey includes prior positions at Marmara University as an Assistant Professor and Doctor Lecturer. She specializes in Smart Transportation Systems, Data Science, and Econometrics, with over 50 publications in peer-reviewed journals and authored/co-authored books like Informational Mathematics with Python and MATLAB (2019). Her research emphasizes transportation innovation, statistical analysis, and sustainability in urban systems. She has advised 16 Master's theses and contributed to projects like the National Technology Initiative on Intelligent Transportation Systems (2022). Awards include the Best Article Award (2017) and Academic Incentive Recognition. She actively participates in international conferences and editorial boards, focusing on transportation and social sciences.

Huaxia Ruiمشاهده پروفایل

استاد

• Social Media
• Health Information Technology
• Optimal Contract Design
• +۴ مورد دیگر

Huaxia Rui is the Xerox Professor of Information Systems and Technology at the Simon Business School, University of Rochester. With a PhD in Information Systems from the University of Texas at Austin (2012), he holds dual MS and ME degrees in Economics and Control Theory from University of Texas at Austin and Tsinghua University, respectively. His research focuses on social media, health IT, and optimal contract design, with notable contributions in customer service analytics, healthcare operations, and data-driven decision-making. Education: PhD, Information Systems, University of Texas at Austin (2012) MS, Economics, University of Texas at Austin (2011) ME, Control Theory and Engineering, Tsinghua University (2007) BE, Control Theory and Engineering, Tsinghua University (2004) Research Interests: Social Media Strategy and Analytics Healthcare IT and Operations Optimization of Customer Service Systems Algorithmic Bias in Digital Platforms Reputation Management in Online Markets His work bridges theoretical models with empirical analyses, often leveraging large-scale datasets from social media platforms and healthcare systems. Key Awards: 2022 ISR Best Paper Award 2023 ISS Social Justice Best Paper Award 2022 AIS Best Publication Award 2019 HICSS Best Paper Award Teaching and Professional Activities: Develops courses on Business Modeling, Stochastic Processes, and Information Systems Theory. Organizes annual IT Teaching Workshops (e.g., ITTW2023, ITTW2024) to advance pedagogical innovation. Active in editorial roles for Information Systems Research and MIS Quarterly . Labs and Collaborations: Leads research initiatives on AI-driven customer service optimization and healthcare system analytics, collaborating with organizations like LSE Business Review and the Wall Street Journal on applied research projects.

Alexandros Kostopoulosمشاهده پروفایل

پژوهشگر

• Network Economics
• Internet Architectures
• Mobile and Wireless Networks
• +۳ مورد دیگر

Alexandros Kostopoulos is a Researcher at the Athens University of Economics and Business (AUEB), Department of Informatics. He holds a Ph.D. in Information Systems from AUEB (2009-2013), focusing on Economic Mechanisms for Future Internet Technologies. His professional roles include Research Engineer at Hellenic Telecommunications Organization (OTE), Post-Doctoral Researcher at FORTH-ICS, and Network and Systems Engineer at the Hellenic Army. His work spans multiple institutions including OTE Group and FORTH-ICS. Education details: Ph.D. in Information Systems (AUEB, 2009-2013) M.Sc. in Informatics (University of Piraeus, 2007-2009) M.Sc. in Management and Economics of Telecommunication Networks (National Kapodistrian University of Athens, 2005-2007) B.Sc. in Business Administration (University of Piraeus, 2001-2005) His research interests focus on Network Economics , Future Internet Architectures , and Telecom Market Dynamics . He explores economic incentives for protocol adoption, privacy mechanisms in information-centric networks, and cloud-based resource management strategies. His work integrates business models with technical advancements to address challenges in 5G/6G deployment and wireless network optimization. His recent publications emphasize 6G business frameworks, 5G network slicing, and AI-driven resource management. He has contributed to projects like 5G-ESSENCE, SESAME, and COHERENT, advancing edge services and telecom infrastructure innovation. Scientific Awards: None explicitly listed. Key contributions include: Developed frameworks for evaluating 6G architectures' economic viability Designed privacy-preserving solutions using homomorphic encryption Explored energy-aware pricing models in cloud environments He collaborates with institutions like OTE, FORTH-ICS, and the European Commission on projects like WISEGRID (Smart Grids), PRIVACY FLAG (IoT privacy), and CREDENTIAL (Cloud Identity).

Ge Jinمشاهده پروفایل

استاد

• Computer Graphics
• Virtual Reality
• Computer Animation
• +۶ مورد دیگر

Ge Jin is an Associate Dean of Graduate Studies and Professor of Computer Information Technology and Graphics at Purdue University Northwest's College of Technology. His research focuses on computer graphics, virtual reality, medical visualization, and serious games. He has led federally funded projects including NSA/NSF grants and industry-sponsored initiatives. Education: D.Sc. in Computer Science (George Washington University) M.S. in Computer Science (Seoul National University) B.S. in Computer Science (Peking University) Research Interests: Jin’s work spans virtual reality applications in education and healthcare , cybersecurity training through games , and medical visualization systems . His projects integrate technologies like VR, game engines, and machine learning for practical solutions in safety education, digital manufacturing, and disaster management. He emphasizes experiential learning through immersive environments and interdisciplinary collaboration. Recent Trends in Publications: His recent work (2018-2020) highlights cybersecurity education via games, VR-based training modules, and NLP-driven health informatics. Earlier research includes medical visualization tools for surgery and disaster management systems leveraging 3D modeling and cluster computing. Awards & Recognition: Teaching Incentive Program Award (Purdue University Northwest) Chanute Prize (Society of Innovators of Northwest Indiana) Outstanding Faculty for Undergraduate Education (College of Technology) Grants & Advising: Jin has secured over $2M in grants including NSF SFS Expanding the Pipeline and NSA Curriculum Development grants. He advises teams on cybersecurity game development and VR lab projects, fostering collaborations across departments and industries. Labs & Teams: His work involves interdisciplinary teams working on VR safety simulations, medical visualization platforms, and cybersecurity education tools. Current efforts focus on scaling VR training modules for K-12 and higher education audiences.

Ala Sarah Alaqraمشاهده پروفایل

دانشیار

• Cybersecurity
• Privacy Engineering
• Human-Computer Interaction (HCI)
• +۷ مورد دیگر

Ala Sarah Alaqra is an Associate Professor (Docent) in Information Systems Research at Karlstad University, Sweden. She holds dual roles as a researcher and educator, contributing significantly to the fields of privacy engineering, cybersecurity, and human-computer interaction. Her work bridges technical innovation with user-centric design principles, addressing challenges in healthcare systems, cloud computing, and digital transformation. **Research Projects:** INNOPATH (2025–current): Innovating policy frameworks for innovation commons. INCREDILAB (2024–current): Enhancing climate resilience through digital education. Cross Border Cyber Capacity (CBCC) (2023–current): Strengthening cybersecurity collaboration between Sweden and Norway. PAPAYA (2018–2020): Developing privacy-preserving analytics platforms for cloud services under Horizon2020. PRISMACLOUD (2015–2018): Securing privacy in cloud services funded by Horizon2020. **Teaching:** Responsible for 15+ courses across bachelor’s, master’s, and thesis levels, including: Bachelor’s courses: Interaction Design, Web Analytics, User-Centered Prototyping. Master’s courses: AI in Law, AR/VR Research, Experimental Multimedia Methods. Thesis supervision in information systems and technology. **Research Focus:** Prioritizes user-centric solutions for privacy challenges in cloud computing, eHealth systems, and crisis management. Her work emphasizes practical implementations of cryptographic technologies, digital well-being during pandemics, and stakeholder collaboration in tech adoption. **Grants & Collaborations:** Secured funding from VINNOVA, EU Horizon2020, and Interreg initiatives. Collaborates with municipalities, healthcare providers, and tech firms to translate research into actionable solutions. **Labs/Teams:** Engaged in the INCREDILAB initiative and cross-border cybersecurity projects. Leads interdisciplinary teams addressing privacy-technology interface challenges.

Ozalp Ozerمشاهده پروفایل

استاد

• Supply Chain Management
• Operations Management
• Inventory Control
• +۳ مورد دیگر

Ozalp Ozer is the Ashbel Smith Professor of Management at the Naveen Jindal School of Management, University of Texas at Dallas. His expertise spans supply chain operations, inventory planning, pricing strategies, and behavioral operations. He holds a Ph.D. in Industrial Engineering and Operations Research from Columbia University (2000) and has held academic roles at Stanford University and Columbia University. His research focuses on mechanisms for supply chain coordination, dynamic decision-making, and the integration of behavioral insights into operational systems. Key honors include the Wickham Skinner Early-Career Research Award (2004), Hellman Faculty Scholar (2003–2005), and Eugene L. Grant Award for Excellence in Teaching (2004). He serves as an associate editor for Management Science , Operations Research , and Production and Operations Management . His work bridges theoretical models with practical industry applications, such as optimizing vaccine production and improving healthcare outcomes through data-driven sepsis alert systems. Collaborations include projects with University Hospitals of Cleveland and Hitachi Global Storage Technologies. Education: Ph.D., Columbia University (2000); M.S., Columbia University (1997); B.S., Bilkent University (1996) Key Research Areas: Supply Chain Management, Behavioral Operations, Pricing Mechanisms Grants: NSF-funded projects on decision-making and medical data analysis

• Machine Learning
• Federated Learning
• Artificial Intelligence
• +۱۲ مورد دیگر

Jie Ding is an Associate Professor in the Department of Statistics at the University of Minnesota, College of Science and Engineering. His research bridges statistical theory and artificial intelligence, with a focus on federated learning, continual learning, and AI applications in biomedicine and telecommunications. Research Interests: Jie Ding's work centers on developing robust and scalable machine learning systems. His interests include federated and collaborative learning frameworks, statistical modeling under data scarcity, and AI-driven solutions for biomedical engineering and 5G network optimization. He investigates foundational aspects of model selection, information fusion, and adversarial robustness. The recent publications highlight a strong trend in distributed and secure AI, particularly in federated learning with dynamic resource allocation, backdoor attack analysis, and AI applications in cardiac organoid maturation. His work integrates statistical rigor with real-world deployment challenges across heterogeneous systems. Scientific Awards: No awards explicitly listed in the provided text. Advising and Grants: Dr. Ding serves as Principal Investigator (PI) on multiple major research grants, including an NSF CAREER award on continual learning and projects funded by the U.S. Department of Defense and NIH. These projects involve collaborative research with Harvard University and focus on AI-driven flexible electronics, information fusion, and 5G measurement modeling. While specific student names are not listed, his leadership of large-scale research initiatives implies active graduate student mentoring. Labs and Teams: Dr. Ding leads a research group focused on AI and statistical learning, collaborating with interdisciplinary teams in engineering, computer science, and biomedical research. His projects involve partnerships with Harvard University and the National Institutes of Health, indicating a strong network in both academic and applied research domains.

Christoph Goebelمشاهده پروفایل

استاد

• Energy Management Systems
• Renewable Energy Integration
• Smart Grids
• +۴ مورد دیگر

Prof. Christoph Goebel is a Professor of Energy Management Technologies at the TUM School of Engineering and Design, Technical University of Munich. His research focuses on optimizing energy systems through advanced algorithms, machine learning, and data-driven approaches. Key areas include renewable energy integration, smart grid technologies, electric vehicle charging optimization, and the application of graph neural networks in power systems. His work bridges theoretical advancements with practical implementation, such as developing platforms like e-SparX for collaborative machine learning in energy research and frameworks like EnergyOS for modular energy management systems. Recent studies explore thermal energy storage models, cost-effective CO2 reduction strategies via heat pumps, and the economic incentives of wind energy data sharing. Goebel's publications (2016–2025) consistently emphasize predictive control, optimization under market constraints, and the integration of ICT innovations into energy infrastructure. Notable contributions include transfer learning models for building thermal dynamics and benchmarking frameworks for energy hardware-software systems.

Wayes Tusharمشاهده پروفایل

مدرس ارشد

• Smart Grid
• Energy Management
• Renewable Energy
• +۵ مورد دیگر

Dr. Wayes Tushar is a Senior Lecturer at the School of Electrical Engineering and Computer Science, University of Queensland (UQ). Previously, he held roles at Singapore University of Technology and Design (SUTD), including Research Scientist at the SUTD-MIT International Design Centre (IDC) and Postdoctoral Research Fellow. He earned his B.Sc. from Bangladesh University of Engineering and Technology (2007) and Ph.D. from Australian National University (2013). His research focuses on smart grid technologies, energy management systems, renewable energy integration, and game-theoretic approaches for energy markets. Education: B.Sc. Electrical and Electronic Engineering, BUET (2007) Ph.D. Engineering, ANU (2013) Research Interests: Peer-to-peer energy trading, storage management, smart grid optimization, transactive energy systems, and applications of game theory and design thinking in energy systems. He has led multiple grants, including projects funded by Advance Queensland and the Singapore National Research Foundation. Grants & Projects: Peer-to-Peer Energy Trading Schemes for Sustainable Cities (Advance Queensland, 2017–2020) Consumer-centric Energy Management for Buildings (SUTD-MIT IDC, 2017–2019) Green Building Management System (BCA Singapore, 2016–2019) Advising & Supervision: Currently supervising PhD candidates on topics like photovoltaic waste management, electric vehicle market mechanisms, and microgrid design. Former students have worked on transactive control and P2P energy trading frameworks.