جست‌وجوی استاد و پژوهشگر

• Software Engineering
• Cyber-Physical Systems
• Digital Ecosystems
• +۳ مورد دیگر

Tero Päivärinta is a Professor at the University of Oulu, Faculty of Information Technology and Electrical Engineering. His work focuses on software engineering, digital ecosystems, and cybersecurity. He specializes in empirical studies of software systems, digital twins, and autonomous driving technologies. His research explores hybrid intelligence systems, data-centric decision-making, and governance of collective ambidexterity in digital initiatives. Education: PhD holder with extensive experience in academic and industry collaborations. Key research domains include cyber-physical systems, DevSecOps automation, and IT governance in public sectors. He co-leads projects such as the NUVE Lab’s vehicle testing frameworks and contributes to initiatives like the Software-Defined Vehicle project. Research highlights include advancing knowledge graphs for manufacturing, cybersecurity compliance in DevOps pipelines, and evaluating data-driven decisions. His articles emphasize interoperability challenges, adaptive systems design, and sustainable digital transformation in public utilities. Professional contributions include organizing the TKTP Annual Symposium and co-editing volumes celebrating academic peers like Markku Oivo. His work bridges theoretical software engineering with practical applications in mobility, governance, and industrial systems.

Jose Costa Requenaمشاهده پروفایل

پژوهشگر

• 5G Mobile Communication
• Network Slicing
• Internet of Things
• +۵ مورد دیگر

Jose Costa Requena is a Researcher and Research Manager at Aalto University, serving as a Staff Scientist in the Department of Information and Communications Engineering within the School of Electrical Engineering. His work centers on advanced networking infrastructure for next-generation wireless systems. Education: Doctoral degree in Engineering and Technology, Helsinki University of Technology (2007) Licentiate degree in Engineering and Technology, Helsinki University of Technology (2004) Research Interests: Dr. Costa Requena specializes in 5G/6G mobile communication, network slicing, and IoT systems. His research bridges theoretical networking concepts with industrial applications, focusing on low-latency solutions, deterministic networking for robotics, and scalable data generation frameworks for distributed sensor networks. He actively develops experimental testbeds for validating novel communication architectures. Recent Publication Trends: His 2024-2025 publications reveal a concentrated effort on practical 5G/6G implementation challenges, including QUIC-based name resolution, time-sensitive networking for industrial automation, and Sub-THz backhauling solutions. These works consistently address reliability, latency, and scalability constraints in mission-critical applications. Scientific Awards: No specific awards are documented in the available information. Advising and Grants: He has supervised at least one thesis. As principal investigator, he leads major EU and nationally funded projects including FUWIRI 2+ (2025-2027), 6G-EXP (2023-2024), and ZERO-SWARM (2022-2024), focusing on wireless infrastructure innovation and 6G test network development. Labs and Teams: Costa Requena operates within Aalto's Networked Systems research group and maintains strategic collaboration with VTT Technical Research Centre of Finland, contributing to Finland's national 5G/6G test network initiatives in Otaniemi.

Ertugrul Basarمشاهده پروفایل

استاد

• Wireless Systems
• 6G and Beyond Wireless Networks
• Multi-Antenna Systems
• +۸ مورد دیگر

Prof. Ertugrul Basar holds the position of Professor of Wireless Systems at the Department of Electrical Engineering, Tampere University, Finland. He is also a member of the Tampere Wireless Research Centre and previously served as founding director of the Communications Research and Innovation Laboratory (CoreLab) at Koç University (2018–2025). His academic career includes faculty roles at Koç University (2018–2025) and Istanbul Technical University (2009–2018), alongside visiting positions at Princeton University and Ruhr University Bochum. He earned his B.S. (High Honors) from Istanbul University, and M.Sc. and Ph.D. from Istanbul Technical University. His research focuses on 6G and beyond wireless systems, reconfigurable intelligent surfaces (RIS), index modulation, physical layer security, and deep learning for communications. He has authored over 190 journal papers, holds 17 patents, and been recognized with prestigious awards including IEEE Fellow (2023), TÜBA Outstanding Young Scientist Award (2017), and multiple best paper awards. He has supervised 9 Ph.D. and 20 M.Sc. students, and served on editorial boards of IEEE Transactions on Communications and other journals. Prof. Basar’s work has been impactful, with over 18,000 citations and an h-index of 55. His contributions span theoretical advancements and practical implementations, including pioneering RIS technologies and waveform designs. He is a Fellow of AAIA and AIIA, and an IEEE Communications Society Distinguished Lecturer (2024–2025).

• System-on-Chip (SoC) Design
• FPGA-Based High-Level Synthesis
• Real-Time Embedded Systems
• +۵ مورد دیگر

Timo Hämäläinen is a Professor of Computer Engineering at Tampere University, leading the Unit of Computing Sciences within the Faculty of Information Technology and Communication Sciences. He is a core member of the System-on-Chip research group and the Computer Engineering Team, actively contributing to the System-on-Chip Hub initiative. His research focuses on System-on-Chip (SoC) design methodologies, FPGA-based high-level synthesis, real-time embedded systems, and open-source hardware-software co-design frameworks like RISC-V and HEVC encoding. He has pioneered work on agile SoC development processes and validation techniques for large-scale hardware systems. Key research areas include: High-level synthesis (HLS) optimization for FPGAs Real-time processor architectures and context-switching latency reduction Formal verification of IP-XACT-compliant SoC designs Resilient RISC-V MPSoC implementations Hardware-accelerated algorithms for signal processing and networking His recent publications (2023-2025) emphasize agile SoC development frameworks, hardware-software co-design for real-time systems, and validation methodologies for large-scale embedded systems. He has contributed to open-source projects like Kvazaar HEVC encoder and the Kactus2 IP-XACT toolchain. Academic advising includes students such as Santéri Mäki-Äijö (formal verification), Arto Oinonen (RISC-V tooling), and Sakari Lahti (processor modeling). His work integrates academic research with industrial collaboration through frameworks like the Fault-slip-Through quality assessment methodology.

• Communications Engineering
• Positioning Technologies (GNSS)
• Embedded Processor Systems
• +۴ مورد دیگر

Jari Nurmi is a Full Professor at Tampere University's Faculty of Information Technology and Communication Sciences, Department of Electrical Engineering. With over 30 years of experience in academia and industry, he specializes in communications engineering, positioning technologies, embedded systems, and reconfigurable computing. His roles include Director of the national DELTA doctoral training network, head of the European Joint Doctorate A-WEAR program, and coordinator of APROPOS MSCA ITN. He has supervised 32 PhD dissertations and over 160 MSc theses. His research focuses on embedded processor systems, reconfigurable computing, approximate computing, and positioning technologies (especially GNSS receiver architectures). He is actively involved in organizing international conferences like IEEE Nordic Circuits and Systems Conference and serves on editorial boards of three journals. His recent work includes advancements in neural network inference on FPGAs, 5G NR localization, and energy-efficient edge AI for autonomous systems. Nurmi has been recognized for his contributions to conference organization and innovation. His publications span topics such as FPGA optimization, GNSS error modeling, and machine learning for healthcare applications. He leads initiatives like the EWOk dataset compression framework and the Hard SyDR benchmarking environment for GNSS algorithms.

Hong-Linh Truongمشاهده پروفایل

دانشیار

• Cloud Computing
• Internet of Things (IoT)
• Big Data Analytics
• +۹ مورد دیگر

Hong-Linh Truong is an Associate Professor (tenured) at the School of Science , Aalto University in Finland. She leads the AaltoSEA Group focused on Systems and Services Engineering Analytics. Additionally, she holds an Adjunct Associate Professor position at the Faculty of Informatics, TU Wien, Austria. Her research spans Cloud Computing Internet of Things (IoT) Big Data Analytics Distributed Systems Elastic Computing Context-aware Systems with particular emphasis on engineering analytics for hybrid cloud-IoT systems and service elasticity management. Analysis of her 15 most recent publications reveals focus areas including Edge Computing (5 papers) Blockchain Applications (3 papers) Machine Learning Systems (2 papers) Cyber-Physical Systems (2 papers) Collaborative Computing (2 papers) Resource Orchestration (1 paper) Scientific achievements include Best Poster Award at European Grid Conference 2005 Best Paper Award at CAiSE'12 She actively collaborates with institutions across Europe and Asia, with research applications in both industrial contexts (air traffic management, manufacturing) and public sectors (disaster response, sustainability governance). Her work integrates theoretical foundations with practical implementations, as evidenced by numerous toolset developments like SCALEA-G and IoTCloudSamples.

Nada Sanadمشاهده پروفایل

پژوهشگر

• data-driven decision-making
• human-machine collaborative rationality
• hybrid intelligence
• +۹ مورد دیگر

Nada Sanad is a postdoctoral researcher at the Empirical Software Engineering in Software, Systems, and Services (M3S) research unit at the University of Oulu's Faculty of Information Technology and Electrical Engineering. She earned her Ph.D. (2024) in Information Processing Science from the University of Oulu, focusing on data-driven decisions and human-machine collaboration. She holds a B.Sc. (2011) and M.Sc. (2013) in Business Informatics from the German University in Cairo, Egypt, with a focus on data mining and big data analytics. Her research interests span data-driven decision-making, hybrid intelligence, human-machine collaboration, AI/ML for decision support, big data analytics, and business intelligence. Her work emphasizes ethical and practical applications of AI in decision-making processes, particularly in autonomous systems and manufacturing contexts. Recent publications (2023–2025) highlight trends in evaluating AI-driven decisions, hybrid intelligence frameworks, and data governance in industry. She contributes to projects like OXILATE, integrating AI insights into actionable expertise. Nada Sanad has not been listed as having formal advisees but collaborates actively in interdisciplinary teams at the M3S unit. She maintains profiles on ORCID, SCOPUS, Google Scholar, and ResearchGate.

• FPGA
• HEVC Encoding
• Software-Defined Networking
• +۶ مورد دیگر

Arto Oinonen is a Lecturer at Tampere University , affiliated with the Faculty of Information Technology and Communication Sciences and the Department of Computing Sciences . His work bridges academic instruction and research in advanced computing technologies. Dynamic Resource Allocation in SDN Cloud Hardware Acceleration for HEVC and IPsec SystemVerilog and UVM Implementation Oinonen's research focuses on FPGA-based hardware acceleration for video encoding (HEVC) and network security protocols (IPsec) in cloud environments. His publications analyze optimization strategies for resource allocation, latency reduction, and energy efficiency in programmable logic architectures. He also contributes to educational frameworks for SystemVerilog and UVM in digital design training. Key collaborations include researchers at Tampere University's System-on-Chip Design group. His work has been cited in academic and patent literature, with a focus on practical implementations in cloud and networked systems.

• Software Engineering
• Cybersecurity
• Machine Learning
• +۷ مورد دیگر

Adnan Ashraf serves as a Senior University Lecturer at the Department of Information Technology within the Faculty of Science and Engineering at Åbo Akademi University, Finland. His academic profile spans software engineering, cybersecurity, and applied artificial intelligence with emphasis on maritime systems and drone technologies, supported by extensive EU and national research funding. His research portfolio demonstrates deep expertise in: Security frameworks for DevOps and IoT networks Machine learning applications in performance testing Edge computing optimization for resource-constrained environments Swarm robotics navigation and collision avoidance Systematic literature reviews in emerging software domains Analysis of his 46+ publications (2010-2024) reveals consistent focus on bridging theoretical models with practical implementations. Key trends include security enhancement through SDN controllers, reinforcement learning for UAV path planning, and systematic reviews of API documentation practices. His work consistently addresses real-world challenges in critical infrastructure domains with strong empirical validation. Dr. Ashraf has secured significant research funding including EU Horizon 2020 VeriDevOps (as Principal Investigator) and MegaM@Rt2 projects (as Co-Investigator), demonstrating leadership in collaborative research addressing DevOps security and runtime modeling challenges. While specific student supervision details aren't publicly enumerated, his project leadership indicates active mentorship in software engineering research.

Juha Kontinenمشاهده پروفایل

استاد

• Mathematical Logic
• Theoretical Computer Science
• Computational Complexity
• +۳ مورد دیگر

Juha Kontinen is a Professor and Docent in the Department of Mathematics and Statistics at the University of Helsinki. He serves as a Supervisor for the Doctoral Programme in Mathematics and Statistics. His research focuses on mathematical logic, theoretical computer science, computational complexity, and formal methods. Key areas include dependence logic, team semantics, and their applications in areas like database theory and artificial intelligence. He has been actively involved in numerous research projects funded by organizations such as the Magnus Ehrnrooth Foundation and the Academy of Finland. His work spans foundational studies of computational complexity, formal logics for team semantics, and interdisciplinary applications. Recent projects include exploring discrete differential equations for circuit complexity and probabilistic team semantics with Boolean negation. Kontinen has authored/co-authored over 90 publications, including articles in prestigious journals and conference proceedings. His work bridges theoretical foundations with practical computational challenges, addressing topics like neural network training complexity and hyperproperties in temporal logics. He has also contributed to conference organization, peer review, and doctoral supervision, highlighting his role as a leader in the academic community.

• Wireless Communications
• Full-Duplex Relaying
• Wireless Power Transfer
• +۱۲ مورد دیگر

Mehmet Ilter is a Visiting Faculty member in the Department of Information and Communications Engineering at Aalto University, affiliated with the Risto Wichman Group. He holds a PhD in Engineering and Technology from Carleton University (awarded February 16, 2018) and previously earned his Bachelor’s and MSc degrees from Istanbul Technical University in 2009 and 2012, respectively. His research expertise lies in advanced wireless communication systems, with a focus on full-duplex relaying, wireless power transfer, physical layer security, visible light communication, software-defined radio, and machine learning applications at the physical layer. His work bridges theoretical analysis with practical implementation, particularly in next-generation wireless networks and IoT systems. Wireless Power Transfer Full-Duplex Communication Physical Layer Security Index Modulation Energy Harvesting Beamforming for Intelligent Surfaces His recent publications (2020–2024) in top IEEE journals demonstrate a consistent focus on information and energy co-design, with applications in massive IoT and large intelligent surfaces. Key themes include data-oriented communication, delay-outage tradeoffs, near-field beamforming, and RF-based information harvesting, reflecting a strong trend toward integrated sensing, communication, and energy systems. He led the postdoctoral research project Information Harvesting (2020–2023) at Aalto University, funded under the RCF Postdoctoral Researcher program. This project explored innovative methods for simultaneous data and energy transmission, contributing to sustainable wireless networks. Mehmet Ilter has also contributed two significant research datasets: Irregular Constellations for Full-Duplex Relaying (2019) and Data Oriented Communication Irregular Constellations (2021), supporting open science in wireless communication research.

Najmul Islamمشاهده پروفایل

استاد

• Blockchain
• Artificial Intelligence
• Digital Transformation
• +۶ مورد دیگر

Najmul Islam is a tenured Professor of Digital Transformation in the Department of Software Engineering at LUT University's School of Engineering Sciences. He was recently promoted from associate professor to full professor and has established himself as a leading researcher in digital systems, blockchain, and artificial intelligence. Dr. Islam's research spans several critical areas in digital transformation: Design and development of responsible, reliable, and legally compliant digital systems Blockchain applications for sustainable consumption and supply chain transparency Explainable AI for cybersecurity and decision-making systems Human-AI collaboration in organizational contexts Impact of digital systems on individuals and organizations His scholarly work demonstrates a strong trajectory toward creating trustworthy digital ecosystems. Recent publications focus on integrating blockchain with AI for enhanced security and transparency, addressing challenges in human-AI collaboration, and developing sustainable digital solutions. His research bridges technical innovation with practical organizational applications, particularly in understanding how digital systems affect both business operations and individual well-being. Dr. Islam's significant contributions to the field were recognized when he was awarded the Information Systems Scientist of the Year 2022 by the Finnish Computer Science Society. This prestigious award acknowledged both his academic merit and his participation in developing the information systems research community at LUT. As an educator, Dr. Islam contributes to LUT's rapidly growing software engineering program, which has expanded from 30 to 300 student places annually over five years. The program offers six specialization options across LUT's Lappeenranta and Lahti campuses, with software engineering being the largest degree program in Lahti.

• Internet of Things
• 6G Software Architecture
• Machine Learning Systems
• +۵ مورد دیگر

Abhishek Kumar is a Researcher at the Center for Ubiquitous Computing, part of the Faculty of Information Technology and Electrical Engineering at the University of Oulu. He holds a PhD from the Department of Computer Science at the University of Helsinki (2018–2022). His research focuses on software-hardware co-integration in areas such as IoT, 6G, machine learning systems, energy efficiency, and environmental sensing, with a strong emphasis on trustworthy computing and UN Sustainable Development Goals (SDGs) like clean energy and sustainable cities. Teaching responsibilities include courses such as 521290S Distributed Systems (5 ECTS, 2025), High Performance Computing: Programming Parallel Supercomputers (3 ECTS, 2025), and Network Analysis and Graph Machine Learning (2 ECTS, 2025). Past courses include IoT and distributed systems modules from 2022 onward. He actively supervises 1 PhD student, 11 Master’s thesis students, and 4 independent studies, with prior supervision of 3 Bachelor’s, 4 Master’s, and 10 Advanced Practical Training students. Research collaborations span VTT, Ericsson Research, Alif Semiconductor, Aalto University, and University of Helsinki. He advises Soundxvision Oy, a Helsinki XR Center startup developing input modalities for XR headsets. Funding sources include the Finnish-American Research & Innovation Accelerator (FARIA), Indian-Finnish Consortia (FICORE), Nokia Foundation, and Walter Ahlström Foundation. His work bridges IoT, 6G, and AI to address environmental and societal challenges, leveraging software-defined systems and distributed computing paradigms. Recent publications explore metaverse integration, edge AI, and cybersecurity in emerging networks.

Sasu Tarkomaمشاهده پروفایل

استاد

• Computer Science
• Artificial Intelligence
• Machine Learning
• +۵ مورد دیگر

Sasu Tarkoma is a Professor and Acting Dean at the Faculty of Science , University of Helsinki, with affiliations to the Helsinki Institute of Sustainability Science and Helsinki Institute of Urban and Regional Studies . His research focuses on Computer Science , particularly in Artificial Intelligence , Internet of Things , and 5G/6G networks . Education : PhD in Computer Science (University of Helsinki) Academic Roles : Supervisor for Doctoral Programme in Computer Science, Docent in Department of Computer Science Research Interests span AI-driven network optimization, edge computing for 5G/6G, digital twinning, and IoT-based environmental monitoring. His work addresses challenges in federated learning , low-cost sensing , and autonomous drone deployments . Supervision and Projects : Supervised numerous Master's and PhD students, including Pengfeng Su and Peifeng Su. Leads projects like BF AgentFormers (AI for platform stability) and NordForsk - Tarkoma (2024-2028) focusing on 6G data-driven systems. Scientific Awards : Recipient of The best textbook of 2009 prize Collaborations include partnerships with institutions in Finland and international actors like ACM and IEEE, with activities in conferences and peer review (e.g., ACM DEBS 2025).

• Artificial Intelligence
• Cyber Physical Systems
• Explainable Artificial Intelligence
• +۸ مورد دیگر

Diana Pfau is a Researcher in the Department of Computer Science at the School of Science , focusing on cutting-edge advancements in Artificial Intelligence . Her work intersects Cyber Physical Systems , Explainable AI , and Industrial Energy Management . Active contributor to projects like FLAIG/Jung (AI Governance in Banking & Insurance) and X-SDEN (Packetized Energy Networks). Research spans Risk Minimization , Resource Allocation , and Federated Learning in industrial contexts. Publications highlight Trustworthy AI and Explainable AI applications in energy systems and cyber-physical infrastructure. Her recent articles emphasize empirical risk minimization and enabling technologies for AI-driven energy solutions. Collaborations extend to interdisciplinary teams in machine learning and industrial engineering.