جست‌وجوی استاد و پژوهشگر

Hafiz Oyediranمشاهده پروفایل

مدرس

• Construction Robotics
• Human Robot Interaction
• Building Information Modeling (BIM)
• +۳ مورد دیگر

Hafiz Oyediran is a Lecturer in the Department of Civil and Environmental Engineering at the University of New Haven's Tagliatela College of Engineering. He joined the faculty in Fall 2024 with expertise in Construction Automation and Robotics. His professional background includes roles as a structural engineer-in-training, site supervisor, and project manager. Education: Ph.D. Engineering (Major: Construction Engineering and Management, Minor: Computer Science), University of Nebraska-Lincoln (USA) M.Sc. Construction Management, University of Lagos (Nigeria) B.Sc. Building, University of Lagos (Nigeria) HND Civil Engineering Technology, Lagos State Polytechnic (Nigeria) Research Interests: Dr. Oyediran focuses on Construction Robotics, Human-Robot Interaction, Building Information Modeling (BIM), and applications of Virtual/Augmented/Mixed Reality in construction. His work emphasizes automation, safety, and technology integration in construction environments. Publications: His recent work includes studies on 4D BIM integration with robotics, autonomous systems for construction safety, and generative AI in architecture/engineering/construction (AEC). His 2024 papers emphasize robot task planning and simulation workflows in construction contexts. Professional Involvement: As co-founder and director of the BIM Africa Initiative, he advocates for BIM adoption across Africa, bridging technology gaps in regional construction practices.

• Internet of Things (IoT)
• Cloud Computing
• Edge Computing
• +۶ مورد دیگر

Devki Nandan Jha is a researcher specializing in Internet of Things (IoT) , Cloud/Edge Computing , and Cybersecurity . His work focuses on runtime monitoring, security frameworks, and deployment optimization in heterogeneous environments. Collaborations include institutions across Europe and Asia, with frequent co-authorship with Rajiv Ranjan, David Wallom, and David Blundell.

David Slompمشاهده پروفایل

استاد

• Writing Assessment
• Literacy Education
• Classroom Assessment
• +۳ مورد دیگر

Dr. David Slomp serves as Associate Dean of Graduate Studies and Research and Professor in the Faculty of Education at the University of Lethbridge. Previously holding positions at the University of Ottawa and University of Alberta, he specializes in writing assessment and literacy education across educational levels. His leadership includes co-directing the MEd General program in Curriculum and Assessment and serving as Co-Editor-in-Chief of Assessing Writing . His educational background features a Master's degree in Teaching English as a Second Language and a PhD in Secondary Education focused on writing assessment. Key research interests include principled assessment design, ethics and validity in writing evaluation, and writing development across the lifespan. His work critically examines justice, fairness, and equity in literacy assessment practices. Recent publications (2019-2025) demonstrate consistent focus on workplace communication assessment, digital literacy frameworks, and dismantling anti-Black assessment practices. Key trends include sociocognitive construct development, equity-centered design, and big data implications for formative assessment. His scholarship bridges theoretical rigor with practical classroom applications. Dr. Slomp's scientific contributions have been recognized through prestigious awards: Graduate Student Teaching Award, University of Alberta Writing Program Certificate of Excellence, Conference on College Composition and Communication President's Achievement Award, University of Alberta Issak Walton Killam Memorial Scholarship Board of Governor's Teaching Chair, University of Lethbridge As Associate Dean and MEd program co-director, he mentors graduate students and shapes curriculum development. His editorial leadership at Assessing Writing significantly influences global assessment scholarship. Current projects address workplace English communication frameworks and equity-centered design principles through major collaborative research initiatives. Dr. Slomp actively contributes to scholarly communities through editorial work and professional organizations, advancing writing assessment theory and practice globally while addressing contemporary challenges in digital literacy and assessment justice.

Jason Poulosمشاهده پروفایل

پژوهشگر ارشد

• Machine Learning
• Causal Inference
• Health Policy
• +۵ مورد دیگر

Jason Poulos is a data scientist and researcher currently working at the intersection of machine learning, causal inference, and health policy. He holds a Ph.D. in Political Science from the University of California, Berkeley, with a designated emphasis in Computational Science and Engineering. His academic journey includes postdoctoral positions at Harvard Medical School's Department of Health Care Policy and Brigham and Women's Hospital. Dr. Poulos's research focuses on developing and applying machine learning methods to address challenges in complex, high-dimensional longitudinal health data. His work spans several interconnected areas including extending causal inference methods for multi-valued treatments, developing frameworks for adversarial machine learning, applying neural networks for health outcome prediction, and evaluating deep learning approaches for missing data imputation in survey data. His recent publications demonstrate expertise in targeted learning methodologies, particularly in observational studies with multi-level treatments, with applications in pharmacoepidemiology. His research output shows a consistent pattern of interdisciplinary work bridging political science, statistics, and health policy. The majority of his recent publications (2021-2024) appear in high-impact journals across biostatistics, political methodology, and machine learning domains, reflecting his ability to contribute to multiple academic communities. His work often employs advanced statistical techniques to address real-world policy questions, particularly in healthcare settings. As evidenced by his publications and research trajectory, Dr. Poulos has established himself as a methodological innovator in causal inference with multi-valued treatments, with particular expertise in applying these methods to evaluate the safety and effectiveness of antipsychotic medications. His work combines deep methodological rigor with practical policy applications.

Daler N. Rakhmatovمشاهده پروفایل

دانشیار

• Reconfigurable architectures
• Energy-efficient computing
• Electronic design automation
• +۹ مورد دیگر

Daler N. Rakhmatov is an Associate Professor in the Electrical and Computer Engineering Department at the University of Victoria . His research focuses on energy-efficient computing architectures for biomedical imaging applications, including ultrasound systems and embedded systems optimization. He is also involved in hardware/software co-design and battery management systems. Education: Bachelor of Science (BSc) in Engineering, University of Rochester Master of Science (MSc) in Engineering, University of Arizona Doctor of Philosophy (PhD) in Engineering, University of Arizona Professional Engineer (PEng) designation Research Interests: Rakhmatov's work emphasizes four core areas: 1. Low-complexity biomedical ultrasound imaging techniques for energy efficiency. 2. Configurable hardware/software architectures for computation-intensive tasks. 3. Analytical models for battery dynamics in embedded systems. 4. Model-driven configuration algorithms for energy-constrained applications. Teaching: Rakhmatov teaches courses such as ECE 242 (Discrete Structures) , ECE 355 (Microprocessor Systems) , and advanced topics like ECE 568 (System-on-Chip Engineering) . Students & Alumni: Rakhmatov supervises PhD and MASc/MEng students in biomedical imaging and embedded systems. Notable alumni include: - Hamad Alrimeih (PhD, Cryptographic Hardware Acceleration) - Mohammed Albulayli (PhD, Ultrasound Imaging Reconstruction) - Solmaz Khezerloo (MASc, Gradient-Driven Beamforming) Labs & Collaborations: His research integrates with the University of Victoria's biomedical engineering and embedded systems communities. He is a member of the Cadence University Program .

Ole Madsenمشاهده پروفایل

استاد

• Robotics
• Automation
• Industry 4.0
• +۶ مورد دیگر

Ole Madsen is a Professor at the Department of Materials and Production within The Faculty of Engineering and Science at Aalborg University . His research focuses on Robotics and Automation , particularly in 5G Smart Production , AI for Manufacturing , and Industry 4.0 applications. He also holds a part-time position at Adding Robotics , applying his expertise in robot integration for industrial and healthcare settings. Research Interests : Robotics, Automation, AI, Sensor Systems, Modular Manufacturing, Welding Technology, Digital Twins, Human-Centered Robotics, Industry 4.0 His work spans 35+ years with over 205 publications , emphasizing smart production systems and robot-assisted processes . Key contributions include Swarm Production Architectures , 5G-Enabled Robotics , and Human-Robot Collaboration frameworks. He has supervised 10 PhD students and led major projects like RAU (Robot-Assisted Ultrasound) and GINP: Robotics & AI Innovation Network . Scientific Awards : SCAP2020 Best Presentation Award (2020) Ole's 31 projects include AP2030: Aseptic Factory 2030 (pharma production), AddSmart (robotics R&D), and 5G-Enabled Autonomous Systems . His 127 press/media mentions highlight advancements in robotic welding , industrial metaverse , and swarm production . He maintains an ORCID: 0000-0003-2133-2541 with extensive publication records across Swarm Robotics , Modular Manufacturing , and AI-Driven Production .

• Acoustic Pollution
• Low-Cost Noise Sensors
• Digital Signal Processing
• +۱ مورد دیگر

Guillermo Quintero Perez is a Senior Lecturer at the Department of Mechanical Engineering , Technical University of Catalonia . His work focuses on acoustic pollution , low-cost noise sensors , digital signal processing , and noise mapping . He collaborates with researchers like Jordi Romeu and Andreu Balastegui on urban noise monitoring projects. Research Interests : Developing low-cost noise sensors for scalable urban monitoring Optimizing noise mapping through mobile sampling and data stratification Applying digital signal processing to environmental acoustics Investigating sound insulation properties of metamaterial structures Publications : His recent work (2024) includes studies on broadband noise reduction in acoustic windows and compliance testing for low-power sensors. Earlier contributions (2023-2017) explore statistical models for noise estimation, cluster analysis for temporal stratification, and sensor network deployment.

• Smart Grids
• Sustainable Energy Systems
• Information and Communication Technologies for Smart Grids
• +۶ مورد دیگر

Néstor Rodríguez Pérez is an Assistant Professor at the Technological Research Institute (IIT) of Comillas Pontifical University, affiliated with the School of Engineering. His research focuses on smart grids, digitalization of power systems, and the integration of information and communication technologies (ICT) in energy networks. His research interests include sustainable smart grids, IoT in power systems, cybersecurity (particularly MaDIoT attacks), scalability and replicability of digital solutions, TSO-DSO coordination, and edge computing for grid applications. He applies advanced modeling and simulation techniques to evaluate the performance and security of modern power systems. The recent publications reflect a strong trend in analyzing the digital transformation of electricity distribution networks, with emphasis on ICT architecture, cybersecurity threats, and scalability of communication protocols such as Modbus TCP and wireless M-Bus. His work bridges theoretical modeling with practical implementation in European power systems, often in the context of EU-funded projects. He has been involved in significant research grants and projects funded by the European Commission (Horizon 2020 and Horizon Europe), the State Research Agency (AEI), and the Naturgy Foundation. These projects focus on digital twins, grid resilience, flexibility solutions, and transnational smart grid platforms. He has conducted a research stay at the Electrical Sustainable Energy Department of TU Delft and has been active in knowledge dissemination through technical reports, workshops, and invited seminars at IIT Comillas and international forums.

• Building Automation Systems
• Smart Grid Technologies
• Renewable Energy Integration
• +۵ مورد دیگر

Jakub Grela is a Lecturer at AGH University of Science and Technology, affiliated with the Department of Power Electronics and Automation of Energy Conversion Systems within the Faculty of Electrical Engineering, Automatics, Computer Science, and Biomedical Engineering. His work focuses on building automation systems, IoT applications in energy management, and renewable energy integration. Current faculty member at AGH University Specializes in energy efficiency and smart grid technologies Active in IoT-driven building automation research Research interests include hybrid energy storage systems, thermal modeling for heating optimization, and demand response solutions in smart grids. His publications emphasize practical implementations of IoT in consumer electronics and energy management systems. His recent work explores trends in transactive energy systems, human-centric building automation, and heat recovery simulations. Articles highlight case studies across university infrastructure, street lighting, and residential energy systems, demonstrating cross-disciplinary applications of IoT in energy efficiency.

• Biomedical Engineering
• Control Theory and Applications
• Electrical Machines and Energy Conversion
• +۱ مورد دیگر

Ziya DEMİRKOL is a full-time Lecturer at Kastamonu University's Tosya Vocational School, Department of Electronics and Automation, holding this position since 2012 while also serving as Department Head since 2015. His academic work bridges theoretical control systems with practical biomedical and energy applications. His educational qualifications include: PhD in Electrical-Electronics and Computer Engineering, Düzce University (2017-2023) Master's in Electronics and Computer Education, Selçuk University (2008-2013) BSc in Electrical and Electronics Engineering, Karabük University (2014-2016) BSc in Electronics Education, Fırat University (2001-2005) Dr. Demirkol's research centers on Biomedical Device Technology within medical instrumentation, advanced Control Theory applications for electromechanical systems, Electrical Machine design focusing on linear motors, and Renewable Energy Systems analysis. His work demonstrates strong integration between control engineering principles and real-world medical/energy solutions, particularly in motor control systems and sustainable energy assessment. His recent publications (2023-2025) reveal two dominant research streams: precision control systems for novel permanent magnet linear motors and AI-driven techno-economic analysis of wind power generation. These studies consistently address practical engineering challenges while advancing theoretical frameworks in electromechanical control and sustainable energy economics. No scientific awards or recognitions are documented in available records. He served as researcher for the 'Tübüler DC Lineer Motor Tasarımı ve Denetimi' project (2020-2021) but has not supervised any theses. His primary collaborations involve Uğur Hasırcı (Düzce University) and Faruk Dayı (Kastamonu University), reflecting institutional partnerships in motor control research.

André Nitzeمشاهده پروفایل

استاد

• Internet of Things
• Digital Business Models
• Software Engineering
• +۹ مورد دیگر

Prof. Dr.-Ing. André Nitze is a faculty member at the Brandenburg University of Technology in the Department of Economics . His research focuses on Internet of Things (IoT) , Digital Business Models , Software Architectures , Cloud Computing , Mobile Computing , and Predictive Analytics . He leads research projects on municipal LoRaWAN infrastructure, rural on-demand transport systems, and user-centered digitalization for sustainable development. Area of Expertise: IoT Applications, Software Engineering, Digital Transformation Current Research: Sustainable Municipal LoRaWAN, Rural Mobility Solutions Projects: risKI - KatKomm (2024-2026): Protocol development for disaster communication InNoWest (2023-2027): Subproject leader for digital sustainability OSLO (2023): Rural on-demand transport software architecture Awards: Best Paper Award at ICDS 2024 for work on LoRaWAN infrastructure Education & Supervision: M.Sc. and B.Sc. in Business Informatics Supervised over 15 theses including topics on GIS analysis, sensor networks, and AI applications

Thorsten Thielمشاهده پروفایل

استاد

• Political Theory
• Digital Policy
• Democracy in the Digital Age
• +۵ مورد دیگر

Prof. Dr. Thorsten Thiel is a full professor at the Faculty of Economics, Law and Social Sciences at the University of Erfurt. He serves as holder of the Professorship for Democracy Promotion and Digital Policy, Equal Opportunities Officer (Gleichstellungsbeauftragter) of the Faculty, and representative for Social Sciences study programs. His research focuses on political theory in digital contexts, specifically examining democratic transformations through technology, sovereignty in digital infrastructure, and structural changes in public spheres. Professorship for Democracy Promotion and Digital Policy Equal Opportunities Officer Faculty Representative for Social Sciences ORCID: 0000-0002-4261-118X His scholarly work investigates: Digital sovereignty frameworks and their political implications Structural transformations of public spheres through social media AI's impact on democratic processes Privatization of digital public infrastructure Anonymous activism and digital rights Republicanism in networked societies Recent publications analyze emerging challenges to democratic governance in digital environments, including algorithmic decision-making, platform regulation, and crisis hackathons as democratic innovations. He has contributed to debates on digital sovereignty (2024), AI's influence on political will-formation (2024), and Habermasian digital public sphere theory (2023). His #WirVsVirus hackathon analysis (2023) explores participatory technology in crisis governance.

Nick Butlerمشاهده پروفایل

استاد

• Organizational Studies
• Sociology of Work
• Critical Management Studies
• +۶ مورد دیگر

Nick Butler is a Professor at Stockholm Business School , Stockholm University , where he has been employed since 2016. He previously held positions at Lund University (postdoctoral researcher) and St Andrews University (lecturer). Education: Universities of Warwick, Sussex, and Leicester (UK) Research Focus: Organizational studies, sociology of work, critical management, social theory, philosophy, and qualitative methods Current Projects: Algorithmic leadership research with Prof. Sverre Spoelstra and Dr. Emilie Hesselbo, funded by the Swedish Research Council Interdisciplinary Interests: Gamification ethics, research ethics, stand-up comedy, and philosophy of jokes His publications span topics like algorithmic management, workplace gamification, academic integrity, and humor in organizations. Collaborations with international scholars and contributions to journals such as Organization Studies , Journal of Business Ethics , and Ephemera demonstrate his cross-institutional impact. Though the data lacks explicit student lists or scientific awards, his research on critical performativity and digital leadership tools underscores his relevance in contemporary organizational theory.

• Information Security
• Cybersecurity
• Software Architecture
• +۵ مورد دیگر

Mathias Ekstedt is a Professor of Industrial Information and Control Systems at KTH Royal Institute of Technology in Stockholm, Sweden. Affiliated with the Software Systems Architecture and Security (SSAS) research group under the Division of Network and Systems Engineering in the Department of Computer Science, School of Electrical Engineering and Computer Science (EECS). He holds a Ph.D. (2004) and M.Sc. (1999) from KTH. Co-founder of foreseeti (acquired by Google in 2022) Director of KTH's Master Programme in Cybersecurity Member of the Digital Futures research center's Trust Working Group Affiliated with Center for Cyber Defense and Information Security (CDIS) Ekstedt's research focuses on information security and cybersecurity integrated with software/systems architecture modeling and analysis . His work emphasizes probabilistic attack/defense graphs for system-of-systems security evaluation, particularly in SCADA and Industrial Control Systems within power infrastructure. He has developed the Meta Attack Language (MAL) and collaborated extensively with the power industry. Recent research trends (2022-2025) include: Threat modeling languages for ICT and power systems Probabilistic attack graph applications in energy flexibility markets and smart cities Software Bill of Materials (SBOM) challenges in Java ecosystems Dynamic attack graph generation and lazy evaluation techniques Cyber-physical security for low-voltage grids and substation automation Ekstedt supervises 17 Ph.D. students (11 as main supervisor, 6 as co-supervisor) and has mentored numerous postdocs. He leads major projects like the SSF project CHAINS (software supply chain security) and coordinates initiatives within SweGRIDS , HONOR , and SOCCRATES .

• Large Antenna Array-Based Communications
• Wireless Propagation
• Vehicular Communications
• +۱ مورد دیگر

Liqin Ding is a Research Fellow at the Department of Electrical Engineering at Chalmers University of Technology . She holds a Marie Skłodowska-Curie Fellowship and is actively involved in EU-funded projects like VoiiComm and Hi-Drive , focusing on vehicular communication systems and cellular positioning integrity. Previously, she was a postdoctoral researcher at Harbin Institute of Technology (Shenzhen) and a visiting researcher at Chalmers before transitioning to her current MSCA-IF position. Research Interests : Her work spans large antenna array-based communication , wireless propagation , vehicular networks , and cellular positioning . Key themes include 5G/6G protocols , channel modeling , and information theory for automated transportation systems. She specializes in Massive MIMO , DFT spreading , and integrity monitoring to enhance network reliability. Scientific Contributions : Recent publications address challenges in PAPR reduction for IoT, 3D antenna array bandwidth , UAV swarm communication , and Bayesian positioning algorithms . Her work bridges theoretical models (e.g., Shannon capacity) with practical applications in automotive connectivity and spaceborne antennas . Awards and Grants : European Union's H2020-MSCA-IF-2019 fellowship for VoiiComm project Funding from the European Commission (EC) for mobility research