جست‌وجوی استاد و پژوهشگر

Jörg Haßmannمشاهده پروفایل

مدرس

• Business Informatics
• Healthcare Information Systems
• E-Learning
• +۳ مورد دیگر

Jörg Haßmann is a Lecturer in Business Informatics at the Faculty of Economics and Social Sciences, Osnabrück University of Applied Sciences. His roles include teaching and research in fields such as healthcare IT systems, eLearning, and process optimization. Since 2008, he has held the position of Lehrkraft für besondere Aufgaben (LfB) in Wirtschaftsinformatik. He earned a Dipl.-Kfm. (1989) and an M.A. in European Marketing Management (1996). Research interests focus on healthcare information systems, eLearning implementation, and process modeling in healthcare. He contributed to projects like Lab4Apps and collaborated on studies analyzing eLearning effectiveness in medical education. His work bridges IT systems with healthcare and business processes. Publications include studies on eLearning strategies for healthcare and nursing informatics, emphasizing multimedia courseware and technology adoption. His teaching spans business informatics fundamentals, health IT systems, and simulation-based learning tools. Active in research projects related to healthcare informatics and process optimization, he explores topics such as hospital information systems and communication standards. No specific awards are listed, but his work reflects contributions to applied IT solutions in healthcare and education.

• Online Marketing
• Customer Relationship Management
• Service Pricing
• +۷ مورد دیگر

Jan H. Schumann is a Professor of Marketing and Innovation and Vice President for Research at the University of Passau, Germany. He holds the Chair of Marketing and Innovation within the School of Business, Economics, and Information Systems. Previously, he served as a Junior Professor at the Technische Universität München and earned his doctoral degree from the same institution in 2009. His academic career includes roles as a visiting scholar at Thunderbird School of Global Management, Boston College, and City University in Hong Kong. Prof. Schumann's research focuses on online marketing, customer relationship management, service pricing, and digital servitization. His work has been published in top-tier journals like the Journal of Marketing , Journal of Service Research , and Journal of Business Venturing . He has received prestigious awards, including the Emerging Service Scholar Award (2019) and multiple recognition for best articles in service research. Prof. Schumann actively contributes to academic leadership roles, including serving as Associate Editor of the Journal of Service Research and leadership positions in the American Marketing Association (AMA) and European Marketing Association. His research projects span digital privacy, consumer behavior in technology-mediated environments, B2B sales dynamics, and sustainable product innovations. He has advised numerous doctoral candidates and contributed to grants such as the Wharton Customer Analytics Initiative (2012). His work also explores intersections of e-mobility, data control, and frontline service employee well-being. Prof. Schumann collaborates internationally, co-authoring studies on service innovation and digital platforms.

Kelly Weeksمشاهده پروفایل

دانشیار

• Supply Chain Management
• Logistics and Transportation
• Operations Management
• +۳ مورد دیگر

Kelly Weeks, Ph.D., is an Associate Professor at Lamar University, specializing in operations management, supply chain, and logistics. She holds a Ph.D. from Jackson State University and an MBA and BBA from Delta State University. Her teaching spans online programs in BBA and MBA, focusing on Operations Management, Quality Management, and Global Logistics. Dr. Weeks has authored over a dozen journal articles and contributed to national grants, emphasizing automation in green supply chains and Six Sigma methodologies. Her research interests include sustainable practices, technology integration in business, and disaster management strategies. She collaborates extensively with industry experts and has developed innovative courses in supply chain and transportation. Notably, she advocates for open-mindedness in learning and addresses challenges in higher education, such as institutional rigor and degree credibility. Her career highlights include earning a Six Sigma Master Black Belt and advancing interdisciplinary programs like the freshman engineering experience. Dr. Weeks' work spans diverse fields, from optimizing construction project readiness to analyzing offshore industry responses to oil price volatility. She emphasizes strategic port human resource development and the application of blockchain in construction management. Her contributions to disaster management in Caribbean nations highlight her commitment to real-world problem-solving. Dr. Weeks advises students to embrace evolving concepts and maintain an open mind, reflecting her belief that 'learning is hindered by rigid education.' She collaborates on grants focused on environmental sustainability, such as wastewater treatment improvements and grid energy storage systems. Her teaching philosophy integrates practical skills with theoretical frameworks, preparing students for global business challenges.

Tzahi Cathمشاهده پروفایل

استاد

• Water Reuse Technologies
• Membrane Filtration
• Desalination Processes
• +۵ مورد دیگر

Professor Tzahi Cath is a leading academic at the Colorado School of Mines , holding the Director role at the Advanced Water Technology Center (AQWATEC) and Co-Director of the Colorado Center for a Sustainable WE2ST. His research spans water reclamation, industrial wastewater treatment, and integrated energy-water systems, with a focus on membrane technologies and data science applications. He maintains a joint appointment at the National Renewable Energy Laboratory (NREL) Water and the Environment. PhD in Environmental Engineering, University of Nevada, Reno (2003) MS in Environmental Engineering, University of Nevada, Reno (2001) BSc in Mechanical Engineering, Tel Aviv University (1992) Tzahi Cath's research explores advanced water treatment technologies, including membrane distillation , reverse osmosis , and biological treatment systems . His work integrates data science for optimizing treatment processes and addressing challenges in direct potable reuse and PFAS removal . Key areas include electrophoretic mixing , buoyancy-driven convection , and decision support tools . His publications reveal a strong focus on membrane technologies (15+ papers), resource recovery (lithium, ammonia), machine learning applications (6 papers), and regional produced water treatment (Oklahoma, Texas, Colorado). Recent work emphasizes low-salt rejection RO and vacuum membrane distillation for hypersaline systems. WateReuse Award for Education and Outreach (2022) Professor Cath leads the Direct Potable Reuse (DPR) mobile lab , recognized for innovative solutions in water sustainability and drought resilience. His work involves collaborations across the National Renewable Energy Laboratory , Metro Wastewater Reclamation District , and Colorado Springs Utilities .

Yezekael HAYELمشاهده پروفایل

پژوهشگر

• Complex Systems Optimization
• Network Science
• Applied Mathematics
• +۶ مورد دیگر

Yezekael HAYEL is a Researcher at the Laboratoire d'Informatique Avignon (LIA) and Director of the Agrosciences & Sciences Doctoral School at Avignon Université. His research focuses on optimizing complex systems with network structures, bridging computer science, applied mathematics, and social sciences. Key areas include opinion dynamics in social networks, cybersecurity, and infrastructure optimization for electric vehicles. He co-authored several influential articles on crowdfunding dynamics, epidemic control, and smart charging algorithms. As Doctoral School Director, he oversees interdisciplinary programs spanning biology, STAPS, computer science, and agricultural sciences. His leadership in the IMPLANTEUS university research school highlights his commitment to multidisciplinary collaboration. Recent work includes a CNRS-published article on opinion evolution models and a collaboration with the Nancy Automation Research Center. Education: Multidisciplinary background in mathematics and computer science Key Projects: ANR-funded IMPLANTEUS research school Optimization of EV charging ecosystems Cybersecurity strategies against network epidemics His pedagogical contributions include teaching at New York University and advocating for international academic exchange. He emphasizes perseverance and creativity in research, advising students to embrace curiosity amid challenges. Awards: None explicitly mentioned, but his leadership roles reflect institutional recognition. Labs/Teams: Active in Avignon Université's Metaboscope Platform and DARI department, collaborating with industry partners like the Nancy Automation Research Center.

Joanna Jeżewska-Frąckowiakمشاهده پروفایل

پژوهشگر

• Biotechnology
• Genetic Engineering
• Environmental Microbiology
• +۳ مورد دیگر

Dr. Joanna Jeżewska-Frąckowiak is affiliated with the Faculty of Chemistry at the University of Gdańsk, where she serves in the Department of Molecular Biotechnology and Genetic Engineering Team. Her research focuses on advanced biotechnology applications including the monitoring and characterization of environmental microorganisms, design of prokaryotic gene expression systems, and genetic engineering of vectors for enzymatic protein production. Current projects investigate probiotic Bacillus species for industrial applications. Research interests span: New biotechnologies with industrial and environmental applications Genetic engineering of toxic gene expression systems Probiotic development and microbial characterization Ethical and cultural dimensions of biotechnology Her publication portfolio demonstrates consistent focus on microbial biotechnology, genetic engineering tools, and educational methodologies. Recent works emphasize probiotic research (40%), molecular techniques (33%), and pandemic-era pedagogy (13%), with emerging interests in public health applications. Available for tutoring in: Trends in biotechnology and GMO applications Industrial microbiology and hygiene science Bioethics and media representation of science Academic writing and research development

Ivan Ariel Ochsenius Robinsonمشاهده پروفایل

مدرس پاره‌وقت

• Public Administration
• Government Transparency
• Public Procurement
• +۴ مورد دیگر

Ivan Ariel Ochsenius Robinson is a Part-Time Lecturer at the University of Murcia, affiliated with the Faculty of Law and the Department of Political Science, Social Anthropology, and Public Finance. He is associated with the Political Analysis Group, focusing on internal control mechanisms in public procurement and transparency policies. Education: PhD in Political Science from the University of Zaragoza (2018), thesis on internal control mechanisms strengthening legal oversight in Spanish public procurement. His research spans public administration, procurement integrity, and governance frameworks. Recent work addresses transparency in e-procurement, control systems in post-pandemic governance, and efficiency metrics in public contracts. Articles highlight challenges in legal compliance and financial oversight. As part-time faculty, he contributes to the Political Analysis Group's studies on administrative accountability and procurement ethics. No scientific awards or student advisement details are publicly documented.

• Wireless Internetworking
• Middleware for Wireless Sensor Networks
• Packet Scheduling
• +۷ مورد دیگر

Xiang Fei is an Assistant Professor in the Department of Computing at Coventry University, affiliated with the CEES School of Science. He holds a PhD in Computer Science and Engineering from Southeast University China (1999), following BSc (1992) and MSc (1995) degrees from the same institution. His research focuses on wireless internetworking, middleware for wireless sensor networks (WSN), and packet scheduling, with applications in data center optimization, machine learning, and cyber security. Professional Experience: Prior to his current role, Fei worked on European IST projects (WINE, Euro6IX) and the EPSRC-funded PROSEN project. He joined Cogent as a Research Fellow in 2008. He actively participates in academic events, organizing conferences like SENSORCOMM (2009-2011) and the International Conference on Automation and Computing (2010-2011). Research Interests: His work spans network analysis (community detection, graph embeddings), data stream processing, and cross-domain applications such as music information retrieval for stock market analysis. He has published extensively in IEEE journals and conferences, with notable contributions to nonnegative matrix factorization techniques and deep learning approaches for network problems. Teaching & Mentoring: Currently accepting PhD students in computing-related fields. His research has been supported by industry collaborations and grant-funded projects, reflecting his expertise in both theoretical and applied computing domains.

• Genetic Algorithms
• Hybrid Systems
• Biomedical Intelligent Systems
• +۷ مورد دیگر

Dr Michael Odetayo is a Principal Lecturer in Computer Science at Coventry University's School of Engineering and Computing. He serves as Course Director for BSc Software Engineering, BSc Network and Mobile Computing, and BEng Digital Forensics and System Security programs. With extensive experience across multiple institutions including De Montfort University and Ahmadu Bello University in Nigeria, he brings a global perspective to his academic work. His teaching portfolio covers diverse computer science topics from fundamental programming to advanced AI concepts. Dr Odetayo's educational background includes a PhD in Computer Science from the University of Strathclyde, an MSc and D.I.C in Computing Science from Imperial College London, and a BSc in Mathematics with Computer Science from Ahmadu Bello University. His academic journey reflects a strong foundation in both theoretical and applied computer science. Ph.D., Computer Science, University of Strathclyde, Glasgow M.Sc., Computing Science, Imperial College of Science and Technology, London D.I.C, Computing Science, Imperial College of Science and Technology, London B.Sc., Mathematics with Computer Science, Ahmadu Bello University, Samaru-Zaria, Nigeria His research spans multiple domains of computer science with particular emphasis on genetic algorithms, neural networks, and biometric security systems. Dr Odetayo has made significant contributions to healthcare informatics through his studies on HIV/AIDS in Lagos State, Nigeria, demonstrating the practical applications of computer science in public health challenges. His work bridges theoretical computer science with real-world implementation in developing countries. Analysis of his recent publications reveals a strong focus on biometric security systems, particularly image enhancement techniques for surveillance applications. He maintains an active research program in wireless networking protocols and has increasingly focused on educational technology applications, especially blended learning models in higher education. His work consistently demonstrates the application of intelligent systems to solve practical problems across diverse domains. As Workload and Timetabling Systems Coordinator, Dr Odetayo plays a significant administrative role within his department. While specific advising information isn't provided in the available materials, his position as Course Director for multiple programs suggests substantial involvement in student guidance and curriculum development. His research has secured attention in both academic and practical implementation contexts, particularly in Nigeria where he maintains strong research connections. Dr Odetayo's laboratory work appears to focus on biometric security systems development and testing, with particular attention to image processing algorithms for security applications. His research team has produced numerous publications on color enhancement, face detection, and content-based image retrieval for biometric applications. His work with Nigerian institutions suggests international collaboration on health informatics projects.

• Cybersecurity
• Data Leak Prevention
• Steganography
• +۵ مورد دیگر

Dr. Abdulaleem Al-Othmani is a Senior Lecturer in Computer Science at De Montfort University (DMU), serving as Programme Manager for APU/DMU dual award computing programmes. He holds a PhD in Computer Science from Universiti Teknologi Malaysia (UTM) and has held academic roles at University Kuala Lumpur (UniKL) and Asia Pacific University (APU) in Malaysia. His research focuses on cybersecurity, including steganography, digital watermarking, data leak prevention, and machine learning applications in security. Education: BSc in Computer Engineering, University of Baghdad (2002) Master of Computer Science (Information Security), UTM (2010) PhD in Computer Science, UTM (2016) Research Interests: Data Leak Prevention frameworks for educational institutions Cybersecurity in IoT and telemedicine systems Machine learning-driven threat detection E-learning security during pandemics Biometric authentication systems for healthcare Awards & Grants: Principal Investigator: RM99,380 FRGS grant for data leak prevention (2020–2022) UTM International Doctoral Fellowship (2011–2012) Certificate of Excellence for PhD thesis (2016) Advising & Professional Roles: Supervised over 20 PhD/Master students and 50+ bachelor dissertations Current PhD supervision: Safari Ismail Mussa (web app vulnerability scanners) External Examiner for MSc programmes at Birmingham City University (2021) Member of IEEE, BCS, ACM, and AIS professional bodies He is affiliated with the Cyber Technology Institute (CTI) at DMU and contributes to editorial boards of journals/conferences.

Cheng Zhangمشاهده پروفایل

دانشیار

• Battery Energy Storage Systems
• Lithium-Ion Batteries
• Battery Management Systems
• +۴ مورد دیگر

Dr. Cheng Zhang is an Associate Professor at Coventry University's Centre for E-Mobility and Clean Growth, specializing in battery energy storage systems. He holds an ORCID profile (0000-0002-5803-2860) and is currently accepting PhD students while also being willing to speak to media regarding his research. Dr. Zhang earned his PhD from Queen's University Belfast in 2016, followed by post-doctoral research fellowships at WMG, University of Warwick and Imperial College London. He joined Coventry University as an Assistant Professor in December 2019 and has since been promoted to Associate Professor. His research focuses on battery energy storage systems, with specific expertise in battery characterization experiments, modeling and simulation, parameter optimization, and adaptive state and parameter estimation and control algorithms. His work contributes to UN Sustainable Development Goals related to clean energy and sustainable cities. Dr. Zhang's vision is to improve the utilization efficiency and service life of battery energy storage systems through innovative research in battery management algorithms. Analysis of Dr. Zhang's recent publications reveals a strong focus on lithium-ion battery technology, with particular emphasis on thermal management systems, state of health estimation, and battery safety mechanisms. His work demonstrates a progression from fundamental battery modeling to applied research addressing real-world challenges in electric vehicle battery systems, including thermal runaway prevention and advanced management systems. The research shows increasing integration of machine learning techniques with traditional electrochemical modeling approaches. Dr. Zhang has an h-index of 23 with 3,149 citations according to Scopus, reflecting significant impact in his field. His research output has steadily increased from 2 publications in 2014 to a peak of 8 in 2022, demonstrating growing productivity and research leadership. With 37 total research outputs documented, Dr. Zhang maintains an active research program focused on advancing battery technology for electric mobility applications. His work bridges theoretical modeling with practical engineering solutions for battery management challenges. He appears to collaborate extensively with researchers across multiple institutions, as evidenced by his diverse publication record with various co-authors from different organizations.

• Intelligent Systems
• Predictive Maintenance
• Condition Monitoring
• +۱۰ مورد دیگر

Dr Miguel Ángel Sanz Bobi is a Professor at the Institute for Research in Technology (IIT) of Comillas Pontifical University, Madrid, Spain. Since joining IIT in 1985 and becoming faculty on 1 September 1986, he has led over 60 research projects for utilities and industry and advised 20 PhD theses to completion, with four more ongoing. He currently holds the Endesa Chair for AI-driven maintenance. Education: PhD in Industrial Engineering, Universidad Politécnica de Madrid, 1992. Thesis: “Metodología de mantenimiento predictivo basada en análisis espectral y temporal de la historia de equipos industriales…” Research Interests: His work integrates artificial intelligence with power and industrial engineering . Key themes include: Condition monitoring and predictive maintenance of complex industrial assets (power plants, wind turbines, trains). AI techniques: expert systems, fuzzy logic, machine learning, reinforcement learning, generative adversarial networks. Digital twins for anomaly detection and prognosis. Reliability, risk assessment and asset management in power systems. Publication Trends: Recent publications (2020-2025) focus on deep reinforcement learning for microgrids, machine-learning-based health indicators for batteries and insulators, ensemble methods for gas-turbine diagnostics, and open-source asset-management toolkits. Earlier work covers neural networks, multi-agent systems, and probabilistic models for maintenance scheduling. Scientific Awards & Fellowships: No specific awards are listed in the supplied text. Grants & Projects: Dr Sanz-Bobi has coordinated or participated in more than 60 projects, including: Horizon 2020: REDREAM (€957837), ATTEST (€864298) Endesa Chair: 2023-2028 and 2026-2028 cycles on AI-driven maintenance EU/UIC: Guidelines for data-driven railway maintenance (2024-2027) Industry: Iberdrola, Gas y Electricidad Generación, SATE s.r.l., Verescence, Repsol, Ford, Robert Bosch, Abengoa, Alstom, Union Fenosa, Canal de Isabel II, etc. Laboratories & Teams: He heads the Intelligent Systems research area at IIT and leads the Endesa Chair laboratory, which develops AI solutions for predictive maintenance and asset management in power generation, transmission and distribution networks.

Timothy Cydersمشاهده پروفایل

دانشیار

• Design
• Flexible/Compliant Mechanisms
• Materials
• +۴ مورد دیگر

Timothy Cyders is an Associate Professor of Mechanical Engineering and Assistant Director of the Center for Advanced Materials and Processing at Ohio University's Russ College of Engineering and Technology. He holds a Ph.D., M.S., and B.S. in Mechanical Engineering from Ohio University (2012, 2008, 2006). Before joining Ohio University in 2012, he worked in engineering roles at Dana Corporation and General Electric, founded a consulting business in 2008, and specialized in design optimization and manufacturing. Research Interests: His work focuses on Design and materials processing, including additive manufacturing and corrosion analysis Flexible mechanisms and sustainable power generation Engineering education innovation, particularly student-centered approaches and mental health initiatives Collaborations with the Institute for Sustainable Energy and Environment and entrepreneurship programs Publications Trends: His articles span materials science (corrosion analysis of 316L stainless steel, forging post-processing), mechanical systems (CVTs, water pumps), and educational tools (Slack integration in classrooms). Recent work emphasizes student well-being and sustainable engineering solutions. Awards: Recipient of the White teaching award (2014) for educational excellence. Advising & Grants: Active in senior design projects and entrepreneurship collaborations but no listed grant details. No formal advisees listed. Labs/Teams: Involved with the Center for Advanced Materials Processing and cross-disciplinary energy initiatives.

Dirk Grunwaldمشاهده پروفایل

استاد

• Computer Networks
• Wireless Communication
• Computer Architecture
• +۶ مورد دیگر

Dirk Grunwald is a Professor in the Department of Computer Science at the University of Colorado Boulder, with a joint appointment in Electrical and Computer Engineering. He has been on the faculty since 1989 and previously directed the Colorado Center for Information Storage (CCIS). He founded the online Post-Baccalaureate degree in Computer Science. His research focuses on computer systems, including networking (wireless, 5G/4G), computer architecture, privacy, high-performance storage, and technology policy. Research interests span wireless propagation models, spectrum management, distributed systems optimization, and cybersecurity. Recent work examines QoE-driven video conferencing, 5G edge effects, and secure emergency alert systems. Grunwald has advised over 50 students, including notable PhD graduates now at Sandia Labs, Google, Meta, and AMD. He has pioneered tools like the Cognitive Radio Kit Framework and contributed to spectrum policy debates. Key contributions include advanced caching strategies (e.g., eMRC), network primitives (MRTOM), and experimental platforms (ExperimenTor). His work bridges theory and practice, addressing real-world challenges in wireless systems and distributed computing.

Adwoa D. Donyinaمشاهده پروفایل

استادیار مهمان

• Socio-technical Systems
• Stochastic simulation
• Graph Transformation Systems
• +۶ مورد دیگر

Adwoa D. Donyina is a Visiting Assistant Professor in the Electrical and Computer Engineering and Computer Science Department at Tagliatela College of Engineering, University of New Haven. She holds a Ph.D. from the University of Leicester (2011), an M.S.c from the University of Leicester (2008), and an Hons B.S.c from the University of Toronto (2007). Her research focuses on socio-technical systems, stochastic simulation, graph transformation systems, rule-based approaches, role-based access control, business process modeling, metamodeling, domain specific languages, and model driven development. Her work bridges theoretical computer science with practical applications in distributed systems, workflow management, and resource allocation. Publications demonstrate a consistent focus on computational modeling techniques applied to complex systems, with recent work exploring educational applications of graph transformations. Her research employs formal methods to solve practical problems in computing and engineering education. Awards: Presented MSc Dissertation to Her Majesty the Queen of England (December 2008)