جستجوی استاد راهنمای دانشگاهی

George Nikolakopoulosمشاهده پروفایل

استاد

• Robotics
• Artificial Intelligence
• Field Robotics
• +۹ مورد دیگر

George Nikolakopoulos is a Professor in Robotics and Automation at the Department of Computer Science, Electrical and Space Engineering at Luleå University of Technology , Sweden. He also holds a Chair in Robotics and Artificial Intelligence and has been affiliated with the NASA Jet Propulsion Laboratory for collaborative research on Aerial Planetary Exploration. Academic Rank: Professor Department: Computer Science, Electrical and Space Engineering Collaborations: NASA JPL, COSTAR Team Research Interests Robotics Artificial Intelligence Field Robotics UAVs (Unmanned Aerial Vehicles) Automatic Control Applications Learning and Reasoning Networked Embedded Systems Cyber-Physical Systems Mechatronics Adaptive Control System Identification Publications and Research Trends His recent publications focus on autonomous aerial robotics, deep mineral exploration, and AI-driven control systems. Key trends include the integration of reinforcement learning for UAV stabilization, path planning in subterranean environments, and cloud/edge-assisted control architectures for collaborative robotic systems. Scientific Awards and Recognitions Team's work included 4 times in a row at the IVA Top 100 list (Royal Academy of Engineers in Sweden) Won the second stage of the DARPA Grand Challenge on Sub-T exploration with the COSTAR team in February 2020 Leadership and Innovation He established the Digital Innovation Hub on Applied AI at Luleå University of Technology and founded two spin-offs, including FieldRobotix , which joined the IVA REACHME Silicon Valley accelerator. His lab, the Robotics Team , actively participates in cutting-edge projects like autonomous mining inspection and aerial additive manufacturing.

• Computer Vision
• 3D Reconstruction
• Medical Image Analysis
• +۳ مورد دیگر

Christopher Zach is a Research Professor at Chalmers University of Technology, affiliated with the Signal Processing and Medical Technology department within the Digital Image Systems and Image Analysis research group . His work focuses on 3D reconstruction , real-time computer vision , and numerical optimization for machine learning. Develops 3D image understanding techniques Specializes in robust optimization for vision systems Leads research in medical image analysis Recent publications demonstrate expertise in low-light text enhancement , out-of-distribution detection , and domain adaptation for industrial applications. Active in Chalmers' Wallenberg AI and ÅForsk funded projects. Collaborates with researchers from Volvo Group , Volvo Cars , and SAFER Vehicle Safety initiatives.

• Optical Networking
• Machine Learning in Network Automation
• Physical Layer Security
• +۳ مورد دیگر

Carlos Natalino Da Silva is a Researcher at Chalmers University of Technology's Optical Networks Unit , focusing on network automation and machine learning applications in optical network design and security. His work addresses resource efficiency (e.g., spectrum optimization), physical layer security , and 6G readiness , with involvement in EU and Brazil-funded projects. He has also contributed to computer programming education in Brazil and Sweden. Research Interests : Machine learning for optical networks Network automation and programmability Physical layer security 6G network readiness Distributed computing optimization Recent Article Trends : His 2025-2024 publications emphasize ML for QoT estimation , state-of-polarization analysis , hybrid FSO-THz for 6G , and DRL-assisted resource allocation , reflecting a focus on convergence between AI, security, and next-gen optical systems. Projects & Collaborations : Current initiatives include Resilient Remote Environment Emulation (2025-2025, ARC-funded), ECO-eNET (2024-2028, EU), and EMPOWER - 6G (2024-2027). Past projects span PHOTONIC HARDWARE (VR-funded), TeraFlow (EU), and ANIARA (VINNOVA).

• Optical Communication
• Fiber Optics
• Photonics
• +۴ مورد دیگر

Magnus Karlsson is a Professor of Photonics at Chalmers University of Technology and serves as Deputy Dean of the Department of Microtechnology and Nanoscience (MC2), responsible for research and graduate education. He co-leads the fiber optics research group with Prof. Peter Andrekson and co-founded the Chalmers Center for Optical Communication (FORCE) in 2010 alongside Prof. Erik Agrell. Karlsson teaches courses in Wireless and Photonics System Engineering and Photonics and Lasers, and holds editorial leadership as Editor-in-Chief of the IEEE/Optica Journal of Lightwave Technology. His research centers on optical fiber communication systems with expertise in light propagation, polarization dynamics, and nonlinear optical effects. Current investigations focus on capacity-enhancing techniques including Voronoi constellation geometric shaping, silicon nitride integrated photonics for microwave applications, and machine learning-driven polarization sensing. His work bridges theoretical modeling of phase-noise channels with experimental validation of novel receiver architectures for deep-space communication through atmospheric turbulence. Recent publications reveal strong trends in overcoming nonlinear transmission limits through multidimensional modulation and MIMO processing for coupled-core fibers. His group pioneers integrated photonic solutions for high-frequency signal generation while advancing real-time network monitoring capabilities in operational fiber infrastructure. Key themes include power-efficient signaling, distributed sensing, and computational methods for channel compensation. Karlsson's leadership in the fiber optics group and FORCE drives collaborative research in next-generation optical networks. His editorial role and ECOC program committee membership position him as a key influencer in shaping global optical communication standards and disseminating cutting-edge research advancements.

• Nuclear Engineering
• Monte Carlo Simulations
• Neutron Transport
• +۶ مورد دیگر

Jan Dufek is an Associate Professor in the Department of Nuclear Science & Engineering at KTH Royal Institute of Technology. His research focuses on advancing numerical methods for Monte Carlo neutron transport simulations, with applications in nuclear reactor design and safety. Key areas include coupled simulations of thermal-hydraulic feedback, Monte Carlo burnup methods, fission source convergence acceleration, and fission matrix-based techniques. He also develops deterministic nodal nuclear data models using polynomial regression to handle multi-dimensional state variables efficiently. He teaches courses such as Monte Carlo Methods and Simulations in Nuclear Technology and Nuclear Reactor Physics , serving as an examiner and course responsible. His work contributes to projects like the McSAFE initiative, aiming to enhance high-performance Monte Carlo methods for reactor safety. Collaborations include studies on deep learning for nuclear fuel composition prediction and transient analysis using hybrid stochastic-deterministic approaches. His research bridges computational efficiency with practical reactor engineering challenges. Dr. Dufek is affiliated with the NRT (Nuclear Reactor Technology) group at KTH, fostering interdisciplinary advancements in reactor physics and computational methodologies.

• Hardware Security
• Cryptography
• Side-Channel Attacks
• +۳ مورد دیگر

Elena Dubrova is a Professor at the Division of Electronics and Embedded Systems, KTH Royal Institute of Technology. She specializes in hardware security, cryptography, and embedded systems security. Her roles include examiner and course responsible for advanced degree projects in Computer Engineering, Communication Systems, Embedded Systems, and Machine Learning. She also teaches courses such as Design of Fault-Tolerant Systems, Hardware Security, and Internet Security and Privacy. Her research focuses on side-channel attacks, cryptographic algorithm vulnerabilities, and FPGA security. Notable work includes analyzing hardware security flaws in cryptographic implementations (e.g., CRYSTALS-Kyber, AES), RF signal leakage in chips, and mitigating threats in FPGA-based systems. Her contributions span both theoretical advancements and practical countermeasure development. Dr. Dubrova’s articles highlight trends in post-quantum cryptography vulnerabilities, machine learning-assisted security analysis, and the integration of physical unclonable functions (PUFs) for secure authentication. She emphasizes hardware-software co-design for robust security solutions. No scientific awards are explicitly listed in the provided information. Her work involves collaborative projects on cryptographic protocol design and secure embedded system architecture, though specific grants or lab affiliations are not detailed here.

Evelyn Otero Solaمشاهده پروفایل

دانشیار

• Sustainable Aviation
• Air Traffic Management
• Emissions Reduction
• +۵ مورد دیگر

Dr. Evelyn Otero Sola is an Associate Professor in Aeronautical Engineering at KTH Royal Institute of Technology, serving as Vice-Director of the Centre for Sustainable Aviation (CSA) and a member of the Executive Board of the Environmentally Compatible Air Transport System (ECATS) International Association. Her research focuses on sustainable aviation, particularly optimizing air traffic management (ATM) to reduce emissions (CO2 and non-CO2) and noise, with projects involving sustainable aviation fuels (SAF), hydrogen, AI, and drones. She leads the doctoral course FSD3831 Future Sustainable Aviation and the master’s course SD2830 Aircraft Performance and Air Traffic Management , emphasizing interdisciplinary approaches to sustainability. Key collaborations include the Swedish Aerospace Research Center (SARC) and initiatives like TREVOL, TRACE, CIDER, and KLIMAFLY. Her work bridges research, education, and industry to drive sustainable aviation solutions globally. Education details are not explicitly provided, but her academic contributions include over 15 publications since 2009, spanning CFD optimization, climate modeling, and aviation environmental impact. She advises 11 doctoral students in the first iteration of her course and plans to expand access internationally. Her initiatives aim to create a skilled workforce for sustainable aviation through holistic education and cross-sector networks.

• Embedded Systems
• Real-time Systems
• Distributed Real-time Systems
• +۸ مورد دیگر

Hazem Ali is a Senior Lecturer at Halmstad University's School of Information Technology. He holds a Ph.D. in Electrical and Computer Engineering from Faculdade de Engenharia da Universidade do Porto (FEUP) and an M.Sc. in Computer Science and Engineering from Halmstad University. His research focuses on embedded systems, real-time systems, and dataflow programming models. He has expertise in hardware/software co-design, parallel computing, and optimization of real-time applications. Education: Ph.D. in Electrical and Computer Engineering (FEUP, Portugal) M.Sc. in Computer Science and Engineering (Halmstad University, Sweden) Recent publications highlight his work in cybersecurity for autonomous vehicles, GPU acceleration of MIMO systems, and optimization of dataflow models. His projects include ELLIIT B02 (Beyond 5G Wireless) and CyberInfra (Cybersecure Traffic Infrastructure). Proficiency in tools includes MATLAB, C/C++, Java, VHDL, and dataflow languages like CAL and Sigma-C, with extensive international experience in Sweden, Portugal, and Egypt.

• Applied IoT
• Edge-Cloud Computing
• Distributed Systems
• +۴ مورد دیگر

Neda Maleki is a Senior Lecturer at the Faculty of Technology, Department of Computer Science and Media Technology, Linnaeus University, starting in September 2024. Her research focuses on Applied IoT, Edge-Cloud Computing, Distributed Systems (Hadoop/Spark), Artificial Intelligence, and Machine Learning for data analysis. PhD in Computer Engineering (2014–2021), Science and Research Branch of Islamic Azad University, Tehran, Iran Master of Science in Computer Engineering (2009–2013), Ghazvin Islamic Azad University Bachelor of Science in Hardware Engineering (2004–2008), Ghazvin Islamic Azad University Her research explores IoT applications in energy forecasting, environmental conservation, and SME digital transformation. Key contributions include frameworks for power-aware Hadoop acceleration, energy-efficient IoT data formats, and predictive models for fuel consumption and city load forecasting. Recent publications highlight collaborations with industry partners in Sweden and international conferences across Qatar, Italy, Denmark, and the Netherlands. She teaches courses in Data Structures, Algorithms, IoT, and programming at the bachelor's and master's levels. 1DV018: Data Structures and Algorithms 1DV501: Introduction to Programming 4DV119: Applied IoT Competence (Master level) Final Thesis supervision

• Computer Architecture
• Deep Learning Accelerators
• Heterogeneous Computing
• +۴ مورد دیگر

Pedro Petersen Moura Trancoso is a Full Professor at the Department of Computer Engineering , Chalmers University of Technology, Sweden. His research focuses on deep learning accelerators , heterogeneous computing , energy-efficient architectures , and memory system optimization for IoT and edge devices. Key projects: AutoPIM (autonomous vehicle accelerators), VEDLIoT (efficient AIoT), eProcessor (European processor ecosystem), PRIME (PIM systems) Collaborations: European Commission, Swedish Research Council, Swedish Foundation for Strategic Research Research Trends : Hybrid CNN/GPU/FPGA Acceleration On-Chip/Scratchpad Memory Optimization Adaptive Resource Allocation for Energy Efficiency Hardware-Software Co-Design for AIoT Publications demonstrate leadership in deep learning hardware , heterogeneous memory systems , and edge computing architectures . Key journals: IEEE ISPASS, ACM Computing Frontiers, DATE Conference.

• Strategic Management
• Innovation
• Open Innovation
• +۵ مورد دیگر

Martin Wallin is a Professor of Innovation Management at Chalmers University of Technology and Associate Professor (PD) of Management at ETH Zurich. He serves as Head of Division at Entrepreneurship and Strategy and holds a Fellow position at the Institute for Management of Innovation and Technology (IMIT). His academic career includes visiting positions at Stanford University and the University of Luxembourg. PhD in Technology Management (Chalmers University) MSc in Industrial Engineering and Management (Chalmers University) Dr. habil in Management (ETH Zurich) His research focuses on strategic management and innovation , particularly open innovation , digitalization , and their implications for business models. He has advised industrial firms and professional service organizations across Scandinavia, Continental Europe, and the UK. Notably, his 2012 paper on open source software motivation was nominated as European Research Paper of the Year by CIOnet. Recent publications highlight trends in AI-driven organizational distrust , internal crowdsourcing , and energy-efficient blockchain technologies . His work spans journal articles , book chapters , and conference proceedings . Scientific contributions include: 2024: Closing Open Innovation (Strategic Management Review) 2023: AI Implementation Challenges (California Management Review) 2022: ICT Industry Convergence Theories (IEEE Transactions) 2018: Business Model Innovation Framework (Long Range Planning) 2007: Spin-off Literature Bibliometrics Martin Wallin actively participates in startup acceleration programs as co-organizer of Born Global and Scale Global . His affiliations include the Academy of Management and the Strategic Management Society .

Björn Lisperمشاهده پروفایل

استاد

• Computer Science
• Software Engineering
• Real-Time Systems
• +۵ مورد دیگر

Björn Lisper is a Professor at Mälardalen University, Sweden, affiliated with the School of Innovation, Design and Engineering and the Division of Computer Science and Software Engineering. His research focuses on formal methods, real-time systems, embedded software, static analysis, and high-level synthesis. He has contributed to advancements in WCET analysis, machine learning applications in testing, and compiler optimization techniques. His work emphasizes practical industrial applications, particularly in automotive and multi-core systems. Research Interests: Real-Time Systems & WCET Analysis Static Program Analysis High-Level Synthesis for FPGAs Machine Learning in Software Testing Formal Methods & Verification Embedded Systems Design Publications span topics like neural network accelerators, automated testing frameworks, and compiler optimizations, reflecting a blend of theoretical and applied computer science. His work is characterized by collaboration between academia and industry to bridge gaps in embedded software predictability and performance.

Jaakko Patrakkaمشاهده پروفایل

استاد مدعو

• Glomerular Diseases
• Kidney Disease
• Molecular Biology
• +۳ مورد دیگر

Jaakko Patrakka serves as an Adjunct Professor of Pathology and Docent at Karolinska Institutet, leading the Renal Glomerulus Biology and Diseases research group within the Department of Laboratory Medicine. His primary focus is deciphering molecular pathways in glomerular diseases—the predominant cause of end-stage renal disease—using transgenic models and single-cell technologies to advance diagnostics and therapeutics. Dr. Patrakka's research program centers on glomerular biology and disease mechanisms , with emphasis on podocyte function, glomerular injury pathways, and kidney cell heterogeneity. His group pioneers single-cell RNA sequencing applications to identify novel cell types and molecular targets, bridging basic science with clinical translation for chronic kidney disease. Analysis of his 15 most recent publications reveals a strategic shift toward multi-omics integration and computational pathology , particularly in leveraging deep learning for morphological analysis. Collaborations with AstraZeneca highlight his commitment to drug discovery , while single-cell studies consistently uncover species-specific and disease-stage-specific molecular signatures. No individual scientific awards, fellowships, or medals are explicitly listed in Dr. Patrakka's public profile. Dr. Patrakka directs a multidisciplinary team comprising research specialists and postdoctoral fellows, fostering innovation in kidney research. His group's industry partnership with AstraZeneca accelerates therapeutic development, and his work has attracted significant funding, including a 2025 Swedish Kidney Foundation award of SEK 3.4 million for Karolinska Institutet's kidney research initiatives. The Renal Glomerulus Biology and Diseases laboratory employs cutting-edge methodologies including CRISPR/Cas9 in zebrafish, transgenic mouse modeling, spatial transcriptomics, and super-resolution imaging. Current projects focus on NPR3 receptor signaling in glomerular disease, Klotho-mediated cytoprotection, and dendrin's role in IgA nephropathy, positioning the group at the forefront of nephrology research.

Jan Kronqvistمشاهده پروفایل

استادیار

• Optimization
• Machine Learning
• Convex MINLP
• +۷ مورد دیگر

Jan Kronqvist is an Assistant Professor at KTH Royal Institute of Technology and a faculty member of Digital Futures, a cross-disciplinary research center focused on digital technologies. His research emphasizes optimization methodologies, including convex MINLP, machine learning integration, and algorithm design for complex systems. He actively contributes to projects like SMART (Predictive Maintenance), SimOPT (Process Design), ADAPCOS (Undersea Swarm Optimization), and cybersecurity in power systems. Key research areas include global optimization for clustering problems, robustness in neural networks, GPU-accelerated machine learning, and ensemble model optimization. He has developed algorithms like the Extended Cutting Plane and SHOT solver for convex MINLP, with applications in chemical engineering, power systems, and control systems. His work bridges theoretical optimization and practical industrial challenges, addressing topics such as cyberattack resilience, multimodal mobility systems, and ensemble learning verification. Projects often involve collaboration with industry partners to translate mathematical models into real-world solutions. Jan has advised initiatives like the SEC scholar program for Calvin Tsay and contributed to research on radiation therapy scheduling and distillation process optimization. His research outputs span over 40 peer-reviewed articles, focusing on advancing optimization algorithms and their applications across engineering and data science domains.

• Computational Neuroscience
• Neural Network Modeling
• Locomotion Control
• +۳ مورد دیگر

Alexander Kozlov is a Researcher at KTH Royal Institute of Technology's Division of Computational Science and Technology. His work focuses on computational neuroscience, particularly modeling neural networks and locomotor control systems. He has contributed to understanding spinal cord networks, striatal connectivity, and neuromodulation mechanisms through in silico studies. Kozlov teaches courses in machine learning, artificial neural networks, and mathematical modeling of biological systems. His research integrates AI frameworks with biological data, emphasizing GPU-accelerated simulations and large-scale microcircuit analysis. Key contributions include studies on Parkinson's disease impact on neural connectivity and the role of sensory feedback in locomotion. He collaborates with the Science for Life Laboratory in Stockholm and maintains active roles in both peer-reviewed and conference publications. Education background and affiliations are not explicitly detailed in the provided text, but his extensive publication record reflects a deep engagement with interdisciplinary neuroscience and computational biology. Awards or grants are not listed here.