جست‌وجوی استاد و پژوهشگر

Carine Pierrette Mukamakuzaمشاهده پروفایل

مدرس

• Digital Healthcare Solutions
• Machine Learning
• Recommender Systems
• +۴ مورد دیگر

Dr. Carine Pierrette Mukamakuza is a Lecturer at Carnegie Mellon University Africa's College of Engineering, specializing in Digital Healthcare Solutions , Machine Learning , and Data Science . Her work bridges Computer Science , Public Health , and Social Network Analysis , with a focus on malaria detection systems and cardiac diagnostics. Ph.D. in Informatics, Technical University of Vienna MS & BS in Computer Science, Central South University, China Research Themes : AI applications in malaria diagnostics (U-Net, YOLOv5, SVM) Deep Learning for ECG/PCG signal analysis Social network impacts on recommender systems Digital health infrastructure for Africa Article Trends : Combines Machine Learning and Public Health to develop digital diagnostic tools for malaria and heart disease, with recent emphasis on system reliability and scalability across Africa. Projects : Developing automated malaria screening tools for Rwanda, integrating AI into UN SDG-aligned health systems.

• Human-Computer Interaction (HCI)
• User Experience (UX) Design
• Usability Engineering
• +۹ مورد دیگر

Marko Nieminen is a Professor in the Department of Computer Science at Aalto University, specializing in Human-Computer Interaction (HCI), Strategic Usability, and ICT for Development (ICT4D). He leads the Strategic Usability Research Group (STRATUS) and contributes to initiatives like SoberIT and USchool. Research Interests: User-centered design methodologies Usability engineering in business and healthcare Collaborative ICT in industrial networks Participatory design for underserved communities Blockchain applications in energy systems Recent Publication Trends: His work bridges HCI, sustainability, and decentralized systems, focusing on blockchain-based energy markets, VR learning environments, and inclusive design practices across diverse contexts. Scientific Awards: Highly Commended Award, Journal of Information, Communication and Ethics in Society (2017) Distinguished Senior Researcher Award, Helsinki University of Technology (1999) Finnish Federation of Electrical and Electronics Industry Award (2002)

• Automation and Robotics
• Autonomous Robotic Systems
• Control Systems
• +۴ مورد دیگر

Pangcheng David Cen Cheng is a Fixed-term Assistant Professor at the Department of Electronics and Telecommunications (DET) , affiliated with the College of Computer, Film, and Mechatronics Engineering at Politecnico di Torino. He actively contributes to teaching roles in Robotics, Mechatronic Engineering, and Computer Engineering programs. Research Interests Automation and Robotics Autonomous Robotic Systems Control Systems His publications focus on low-resource robotics, safe human-robot interaction, and path planning in dynamic environments. Key venues include IEEE IECON, IEEE ETFA, and IEEE ISIE conferences. He supervises PhD students Cesare Luigi Blengini and Rosario Francesco Cavelli , both enrolled in Electrical, Electronic, and Communications Engineering (40th cycle, 2024–present).

• Conceptual Modelling of Information Systems
• Data Modelling
• IT for Development
• +۲ مورد دیگر

Dr. Sietse Overbeek is an Associate Professor at the Faculty of Science, Utrecht University , where he has served as Director of the Artificial Intelligence, Computer Science, and Information Science Master's programs since 2022. He holds a Ph.D. in Computer Science (2009) and an M.Sc. in Information Science (2005) from Radboud University Nijmegen. 2008-2009: Postdoc at Delft University of Technology 2009-2012: Assistant Professor at Delft University of Technology 2013-2015: Assistant Professor at University of Duisburg-Essen 2015-2017: Lecturer at Utrecht University Dr. Overbeek's research focuses on conceptual modeling , data modeling , method engineering , and software development , with particular emphasis on agile practices , tool support , and sustainability in software development . His recent work explores LLM applications in requirements engineering and data-centric infographics . Key publication trends include: 2025: LLM-assisted agile development and AI team integration 2024: Environmental impact modeling for cyber-physical systems 2023: Work practice mining, CRM quality frameworks, and e-government architecture 2022: Data-centric infographics, impact assessment tools, and fairness in method engineering 2021: Human sustainability and blockchain governance

Alexander Bockمشاهده پروفایل

پژوهشگر

• Decision Support Systems
• Business Intelligence
• Management Support Systems
• +۳ مورد دیگر

Alexander Bock is a doctoral researcher at the University of Duisburg-Essen , affiliated with the Information Systems and Enterprise Modeling Research Group. He holds an M.Sc. (2013) and B.Sc. (2010) in Business Information Systems from the same institution, with a focus on decision support systems and conceptual modeling. His research explores how conceptual models shape decision and problem-solving processes in organizations, emphasizing semantic expressiveness, multi-perspective modeling, and the organizational conditions influencing decision-making. Education: B.Sc. and M.Sc. in Business Information Systems (with honors), University of Duisburg-Essen International semester at University of Jyväskylä, Finland Bock’s work bridges technical modeling approaches with organizational theory, investigating the Power/Generality Trade-Off in decision instruments and developing methods like MEMO GoalML for context-enriched modeling. His 21 publications since 2014 span topics like low-code platforms, ethics of information systems, and enterprise modeling frameworks. He was awarded the Best Research in-Progress Paper at ECIS 2021 and the Best Paper Award at EMMSAD 2018. His research trends highlight the integration of machine learning , design thinking , and low-code platforms into enterprise modeling, alongside ethical considerations in IS research. Bock’s teaching includes courses on business information systems, enterprise modeling, and scientific work, with supervision of 22 theses on topics like Big Data, AI ethics, and digital transformation in SMEs. Scientific Awards: Best Research in-Progress Paper (ECIS 2021) Best Paper Award (EMMSAD 2018)

Chadi El Kariمشاهده پروفایل

استاد

• Distributed Systems
• Cloud Computing
• Cybersecurity
• +۳ مورد دیگر

Chadi El Kari serves as a Professor in the Department of Computer Science at the University of the Pacific's School of Engineering and Computer Science. His research bridges theoretical foundations with practical applications in distributed computing environments, with particular emphasis on cloud infrastructure optimization and security-critical systems. His academic credentials include: PhD in Computer Science and Engineering from University of Connecticut (2011) MS in Computer Science and Engineering from University of Connecticut (2005) BE in Computer Engineering from Universite Saint Joseph (2002) Research spans distributed systems (data migration algorithms, task scheduling), cloud computing (resource allocation frameworks like A2Cloud), cybersecurity (human factors, sensor network security), and human-computer interaction (athletic training applications). Recent work demonstrates evolving focus toward diversity in security education and automated visualization of software ecosystems. Publication analysis (2016-2025) reveals three dominant trajectories: 1) Cloud resource optimization using machine learning (A2Cloud-RF), 2) Security-aware data management in heterogeneous storage, and 3) Human-centric cybersecurity education initiatives. These intersect at the critical challenge of balancing performance, security, and accessibility in distributed environments. No scientific awards were documented in the source materials. While teaching responsibilities cover core theoretical areas (Theory of Computation, Cryptography), no student advising details or research grant information appears in the provided documentation. His Chamber 126 office serves as the operational hub for ongoing research activities at the Stockton campus.

Paula Savolainenمشاهده پروفایل

مدرس

• Customer Behavior
• Entrepreneurship
• Value Creation
• +۱ مورد دیگر

Paula Savolainen serves as a Lecturer in Business, Entrepreneurship and Marketing at Turku University of Applied Sciences, based at the Kupittaa Campus. Her position falls under the Business education program within the university's structure. Her research centers on Customer Behavior , Entrepreneurship , and Value Creation , with significant contributions to Software Project Management . She investigates critical dynamics in customer-supplier relationships, project initiation challenges, and failure factors in software development, particularly emphasizing the supplier's perspective during early project phases. Analysis of her publication timeline (2020-2008) reveals persistent focus on project start-up practices, knowledge transfer obstacles, and contractual influences on project outcomes. Her work bridges business management and software engineering, highlighting how vague project starts, manager transitions, and misaligned expectations critically impact project success. No scientific awards were documented in the provided materials. Available information contains no details regarding student advising activities or research grant acquisitions. She actively participates in research groups dedicated to Customer Behavior and Entrepreneurship and Value Creation, driving collaborative investigations in these domains.

• Computer Science
• Artificial Intelligence
• Data Mining
• +۳ مورد دیگر

Cyril De Runz is an Associate Professor at the University Institute of Technology of Blois (IUT Blois), University of Tours, France, affiliated with the Department of Multimedia and Internet Professions and the Fundamental and Applied Computer Science Laboratory of Tours (LIFAT, UR 6300). He also contributes to the Polytechnic School of the University of Tours (EPU), focusing on interdisciplinary computer science applications. His research spans Artificial Intelligence, Data Mining, Wireless Sensor Networks, Geographic Information Systems, and Human-Computer Interaction. Key areas include cycling infrastructure analysis using OpenStreetMap data, automatic dashboard generation for business intelligence, employee attrition modeling through sequential pattern mining, and optimization of sensor network coverage. His work bridges theoretical computer science with practical urban planning and human resources applications. Analysis of his 2023-2025 publications reveals strong trends in edge-AI deployment (e.g., ternarized vision-language models), advanced wireless sensor network strategies, and integration of multi-source data for transportation and workforce analytics. His methodologies often combine probabilistic modeling, fuzzy logic for imperfect geographic data, and deep learning adaptations. De Runz actively participates in LIFAT laboratory research, emphasizing interdisciplinary collaboration across civil engineering, social sciences, and energy systems. His projects frequently address real-world challenges like cycling safety, urban mobility, and business intelligence automation. No verifiable information on student advising, research grants, or scientific awards was found in the provided sources.

Veronika Peralta Costabelمشاهده پروفایل

دانشیار

• Data Quality
• Data Warehousing
• Exploratory Data Analysis
• +۷ مورد دیگر

Veronika Peralta Costabel is an Associate Professor at the University of Tours and a key member of the LIFAT Computer Science Laboratory . She serves as Head of the Master 2 SIAD program and has held academic positions at institutions in France, Uruguay, and Argentina since 1996. PhD in Computer Science (2006) from University of Versailles and University of the Republic of Uruguay Master in Computer Science (2001) and Engineer degree (1998) from University of the Republic of Uruguay Her research focuses on Data Quality , Exploratory Data Analysis , and Query Personalization in heterogeneous and distributed systems. She has led projects on data narratives in journalism, public health, and urban mobility. Recent article trends emphasize context-aware data quality frameworks , interestingness measures for OLAP queries , and automated data storytelling models , particularly in big data and cloud environments . Scientific Awards : Young Researcher Prize (2005), CLEI-UNESCO 3rd Prize (2003), LIFAT Council Member (2018-2019) She supervises PhD and Master students in topics like SQL workload analysis, data narrative generation, and semantic trajectory clustering, and contributes to journal editorial work and conference organization .

Ismini Lourentzouمشاهده پروفایل

استادیار

• Multimodal Machine Learning
• Vision-Language Models
• Interactive AI Agents
• +۶ مورد دیگر

Ismini Lourentzou is an Assistant Professor at the University of Illinois Urbana-Champaign's School of Information Sciences, leading the Perception and LANguage (PLAN) Lab. Her research focuses on multimodal machine learning, vision-language models, and human-centric embodied AI systems. School of Information Sciences, University of Illinois Urbana-Champaign Former Assistant Professor, Virginia Tech Department of Computer Science (2021-2023) Research Interests: Multimodal learning with limited supervision Interactive AI agents and human-agent communication Vision-language navigation and task-driven conversational systems Self-supervised learning and grounding vision-language models Applications in healthcare, misinformation detection, and manufacturing Scientific Contributions: Recipient of DARPA, NSF, and Amazon funding Developed frameworks for vision-language co-segmentation and embodied navigation Keynote speaker at ACM PETRA 2022 on supervision signals in healthcare AI Awards & Recognitions: Best Vice Co-Chair at IEEE BigData 2023 Outstanding New Assistant Professor at Virginia Tech IBM Invention Plateau Award (2019)

Joseph Konstanمشاهده پروفایل

استاد

• Human-Computer Interaction
• Recommender Systems
• Social Computing
• +۶ مورد دیگر

Joseph A. Konstan is a Distinguished McKnight University Professor and Distinguished University Teaching Professor in the Department of Computer Science and Engineering at the University of Minnesota , where he also serves as Associate Dean for Research of the College of Science and Engineering. His work spans human-computer interaction , recommender systems , and social computing , with significant focus on improving personalization algorithms and ethical AI applications. Education : Ph.D. in Computer Science from University of California, Berkeley (1993) M.S. in Computer Science, UC Berkeley (1990) A.B. in Computer Science, Harvard College (1987) Dr. Konstan's research addresses human-centric AI challenges, including collaborative filtering , online community dynamics , and health technology interventions . He leads the GroupLens Lab , known for developing foundational recommender systems frameworks like MovieLens. His work on organizational communication and health apps demonstrates practical applications of behavioral interventions. Recent publications analyze algorithmic fairness , user inaction patterns , and human-AI collaboration in media recommendation. He chairs the ACM Publications Board and has led major NSF grants for human-centered news recommenders . His 130+ publications include influential works on user modeling , social media ethics , and interactive learning systems . ACM Software Systems Award for GroupLens Fellow, ACM/AAAS/IEEE CHI Academy member As an advisor, Dr. Konstan has mentored 16 Ph.D. graduates including Ruoyan Kong (2023) and Max Harper (2019). He leads NSF-funded research on recommendation ethics and organizational communication . The GroupLens Research Group under Konstan explores recommender system infrastructure , user experience optimization , and health technology for School of Nursing and HealthPartners collaborations.

• Computer Science
• Graph Theory
• Urban Mobility
• +۵ مورد دیگر

OBEROI Kamaldeep Singh is a teacher-researcher at CESI Toulouse, focusing on spatio-temporal modeling of urban mobility systems and graph-based pattern detection. His work bridges computer science, transportation engineering, and geomatics to address challenges in smart and sustainable mobility. Doctorate in Computer Science, University of Rouen Normandy (2019) MSc in Embedded Electronic Systems, ESIGELEC (2016) BEng in Electronics and Communication, Chitkara University (2014) Research interests span: Dynamic graph theory applications in urban traffic analysis Mobility-as-a-Service (MaaS) personalization frameworks Multi-agent systems for sustainable transportation Reinforcement learning in mobility behavior simulation Spatio-temporal data analytics for smart cities His publications from 2017–2025 demonstrate a sustained focus on graph-theoretic modeling of urban dynamics, with recent work expanding into AI-driven MaaS personalization. Key contributions include pattern detection algorithms and qualitative spatial models for traffic flow optimization. Current affiliations: Scientific Animator, CEE MobE program (ION Team) MIDOC Key Challenge COPIL (Intelligent Mobility) neOCampus Scientific Interest Group R3Mob Regional Network (New Aquitaine) Editorial roles include program committee membership at W2GIS (2023–2024) and ECAI (2024), with reviewing experience for journals on geomatics and sustainability.

Hanspeter Schmidمشاهده پروفایل

استاد

• Signal Integrity
• Sigma-Delta Modulation
• Low-Power Electronics
• +۷ مورد دیگر

Prof. Dr. Hanspeter Schmid is a Lecturer for Microelectronics and Signal Processing at the University of Applied Sciences and Arts Northwestern Switzerland (FHNW) within the School of Engineering and the Environment. He also serves as a part-time Senior Lecturer at ETH Zurich for Analog Signal Processing and Filtering. Diploma, Postgraduate, and Doctoral degrees from ETH Zurich His research focuses on fast low-power circuits for sensor electronics, signal integrity in analog systems , and sigma-delta modulation . Recent publications address noise analysis, statistical fallacies in small sample measurements, and mixed-signal circuit design. Key article trends include analog/digital filter design, signal-flow graphs, and FFT applications in noise measurement. His work bridges theoretical mathematics with practical circuit implementation, as seen in his 3σ Fallacy study and switched-capacitor tutorials. IEEE CAS Society : Co-Chair (2008-2010), Associate Editor (TCAS-I 2007-2011, TCAS-II 2016-2017) Distinguished Lecturer (2011-2012) and ESSCIRC committee member until 2019 He supervises research projects like Authenticity in Music Production , collaborating with digital music research centers to simulate electronic equipment. His professional affiliations include FHNW’s Institute for Sensors and Electronics and ETH Zurich.

Mauro Caporuscioمشاهده پروفایل

استاد

• Self-adaptive systems
• Cyber-Physical Systems
• Decentralized control
• +۵ مورد دیگر

Mauro Caporuscio is a Professor of Computer Science at Linnaeus University's Department of Computer Science and Media Technology , affiliated with the Faculty of Technology . He holds a PhD from the University of L'Aquila (2006), with prior academic appointments as Assistant Professor at Politecnico di Milano (2010-2014) and Postdoctoral Researcher at INRIA Paris-Rocquencourt (2006-2009). Research Groups : Cyber-Physical Systems (CPS), Engineering Resilient Systems (EReS), Linnaeus University Centre for Data Intensive Sciences and Applications (DISA), Smart Industry Group (SIG) Ongoing Projects : Digital Twin of Organizations (DTO), Smart Industry Education, Aladino (architecture methodologies), SmartDat (industrial digitalization) His research focuses on applying Model-Based Software Engineering to Self-Adaptive Systems , emphasizing decentralization and resilience . Key areas include Digital Twin for organizational modeling, Cyber-Physical Systems , and IoT-enabled platforms with applications in robotics and physical rehabilitation. Publications span IEEE Transactions , Springer series, and top software engineering conferences. He contributes to program committees and has developed educational programs including a Master's in Computer Science with software engineering specialization.

• Cyber-Physical Systems
• System Safety and Security
• Smart Grids
• +۵ مورد دیگر

Edward Griffor is an Adjunct Professor in the Department of Computing and Software at McMaster University . His scholarly activity spans over four decades, focusing on Cyber-Physical Systems (CPS) , System Safety , Smart Grids , and Ontology-Based Reasoning . Griffor’s research bridges theoretical computer science with practical applications in Automated Driving Systems , Embedded Systems , and Real-Time Analytics . His work emphasizes formal methods for ensuring trustworthiness, security, and timing constraints in complex systems. Recent publications highlight trends in CPS testing frameworks , IoT capability composition , and human-centric system design . Griffor has contributed to IEEE and LNCS journals, with a particular focus on safety-critical systems and energy infrastructure.