جست‌وجوی استاد و پژوهشگر

Yuichi Yodaمشاهده پروفایل

استاد

• Business Administration
• Information System Management
• Corporate Transformation
• +۷ مورد دیگر

Yuichi Yoda is a Professor at Ritsumeikan University's College of Business Administration and Graduate School of Business Administration since 2021. He has held visiting professorships at EM Strasbourg Business School, Nürtingen-Geislingen University of Applied Science, and has engaged in research at Stanford University. His career spans both academia and industry, including roles at NTT and NTT Docomo. Ph.D. in Business Administration, Kobe University (2011) Master of Business Administration, Kobe University Graduate School (2003) Master of Education, Shizuoka University Graduate School (1996) Research Interests: Yuichi focuses on corporate transformation through information systems, integrating management philosophy, AI, and IoT. His work explores IS flexibility, strategic extensibility, and biochar's role in carbon-negative economies. Recent Trends: His publications emphasize AI-driven business strategies, IoT platform ecosystems, and sustainability via biochar. These span case studies in aviation, telecom, and cleantech industries. Scientific Awards: The Telecommunication Advancement Foundation Award of Social Science (2015) Grants & Collaborations: He led a 2016–2018 competitive grant on cloud services' impact on corporate IS, supported by The Telecommunication Advancement Foundation. His affiliations include the Japan Marketing Academy and Kyoto prefecture advisory committees. Labs & Teams: He collaborates with Ritsumeikan's Research Organization of Open Innovation & Collaboration, Japan Biochar Research Center, and IoT Security Research Center.

• Signal Processing
• Communications Engineering
• Artificial Intelligence
• +۲ مورد دیگر

Francisco José Simois Tirado is an Assistant Professor in the Department of Signal Theory and Communications at the University of Seville. He actively participates in multiple research projects funded by the State Research Agency (AEI) and the Andalusian Government, including "IAREPRO II" (AI for assisted reproduction), "MISION ALPHA" (CubeSat development), and IoT-based structural health monitoring. His work bridges signal processing, communications engineering, and interdisciplinary applications in art conservation and agriculture. His research interests center on signal processing techniques (Fourier transforms, convolutions, spectral analysis) and communications systems (OFDM, channel estimation, precoding). Recently, he has extended these methods to art canvas analysis and dairy farm biosecurity, showcasing adaptability across diverse fields while maintaining core signal processing expertise. An analysis of his publications reveals a trajectory from foundational communications research to impactful interdisciplinary applications. His recent work applies signal processing to art authentication and veterinary science, demonstrating the versatility of his core methodologies in solving real-world problems beyond traditional engineering domains. Dr. Simois Tirado has contributed to over 15 research projects since 2002, spanning wireless communications, IoT, and AI applications. He is a long-standing member of Research Group TIC-155, which has received multiple consolidation incentives from the Andalusian Government, reflecting sustained research excellence. He is affiliated with the Signal Processing and Communications Research Group at the University of Seville, a team focused on advancing signal processing theory and its applications in communications, biomedical engineering, and cultural heritage preservation.

• Software Development
• Information Systems Management
• Web Application Development
• +۲ مورد دیگر

Andrés Dolón Sevilla is a Professor at Camilo José Cela University (UCJC), affiliated with the Center for Vocational Training Studies. He teaches and tutors Advanced Vocational Training courses in Multiplatform Application Development and Web Application Development. With over 15 years of industry experience in IT consulting, he has led software development and quality assurance projects across sectors including energy, telecommunications, defense, and banking. Education Technical Telecommunications Engineering, Catholic University of Murcia Degree in Telecommunications Engineering, Catholic University of Murcia Master's Degree in Secondary Education, Camilo José Cela University Scrum Master Certified Research Focus His expertise spans software development lifecycle management, IT systems optimization, and vocational pedagogy. Primary interests include agile methodologies, cross-platform application frameworks, and industry-academia knowledge transfer. Professional Contributions Authored a 2024 Programming Manual synthesizing industry practices for educational use. Supervises final projects for vocational students, emphasizing practical software implementation and client requirement resolution.

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

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

• Optical Communications
• Telecommunications
• Signal Processing
• +۱ مورد دیگر

Yanchao Jiang is a Fixed-term Researcher (Law 240/10 art.24-A) at the Department of Electronics and Telecommunications (DET) of Politecnico di Torino, Italy, specializing in Telecommunications (IINF-03/A). She teaches Software-defined communication systems for Communications Engineering Master's programs (2022/23-2023/24) and Signals and systems for Electronic and Communications Engineering Bachelor's programs (2025/26). Her research focuses on Optical Communications with emphasis on nonlinear interference estimation , power optimization in multi-band optical systems , and performance enhancement of long-haul transmission . She develops digital signal processing techniques using linear least squares and closed-form models (e.g., Enhanced Gaussian Noise model) to address challenges in C+L+S band optical networks, targeting high-capacity fiber transmission systems. Recent publications (2024-2025) reveal a concentrated research trajectory on nonlinear interference mitigation through longitudinal power monitoring and closed-form modeling. Her work bridges theoretical DSP frameworks with practical optical system optimization, evidenced by publications in premier venues like Journal of Lightwave Technology , IEEE Photonics Technology Letters , and OFC/IPC conferences, demonstrating consistent contributions to optical transmission engineering. No scientific awards or honors were documented in the source materials. Teaching responsibilities include course collaboration for advanced communication engineering curricula, though no student advising roles or research grants were specified. Her work appears deeply integrated with Politecnico di Torino's telecommunications research infrastructure, particularly in optical network optimization projects.

• Telecommunications
• Wireless Communications
• Digital Signal Processing
• +۳ مورد دیگر

Guido Montorsi is a Full Professor in the Department of Electronics and Telecommunications at the Polytechnic University of Turin. He is affiliated with the College of Electronic, Telecommunications and Physics Engineering and the College of Computer, Film and Mechatronics Engineering. His scientific disciplinary sector is IINF-03/A - Telecommunications (Area 0009 - Industrial and Information Engineering). Professor Montorsi has been actively involved in teaching across multiple academic programs since 2005, including the PhD program in Electrical, Electronics and Communications Engineering through the current 39th cycle. He teaches courses such as Signal Processing and Wireless Transmission Lab, Advanced Wireless Communications, and Information and Communication Theory at both Master's and Bachelor's levels. His research focuses on telecommunications with emphasis on wireless communications, digital signal processing, and communication theory. Professor Montorsi leads the Advanced techniques for digital transmission (CommGroup) research group and has been the scientific manager for numerous research projects including RESTART - Spoke 3 (2023-2025) and WiMAGIC (2008-2011), along with multiple commercial research projects extending through 2026. His recent publications demonstrate a trend toward applying machine learning techniques, particularly recurrent neural networks, to traditional communication problems like channel estimation and signal detection. The research spans both theoretical communication concepts and practical implementations for next-generation wireless systems. Signal overlay design and detection for satellite broadband channels (patent) Topcom++ Software (copyright) A method and a node for detecting phase noise in MIMO communication systems (patent) A method for the construction of codes for the frame header of adaptive coding and modulation systems (patent) Analog-digital belief propagation (patent) Professor Montorsi supervises several PhD students including Martina Magnaldi (39th cycle, 2023-present), Barbara Ripani (37th cycle, 2021-2025), and Majid Mosavat (35th cycle, 2019-2023). His research grants span both competitive public funding and commercial contracts with organizations interested in advanced wireless communications, deep space communications, and satellite broadband technologies. He is actively involved in the Advanced techniques for digital transmission (CommGroup) research group, focusing on next-generation wireless communication systems, optical communications, and error correction coding techniques for challenging channel conditions.

• Fog Computing
• Edge Computing
• Distributed Systems
• +۵ مورد دیگر

Claudia Canali is an Associate Professor at the Department of Engineering "Enzo Ferrari" within the University of Modena and Reggio Emilia. Her work focuses on distributed systems, edge and fog computing, and gender equality in academia. She has extensively researched optimization algorithms for micro-service placement, load balancing, and resource allocation in fog and edge computing environments. Her publications address challenges such as latency reduction, energy efficiency, and network congestion in smart city applications. Recent studies include the development of next-generation collaborative research platforms like NextPyter, containerized Jupyter environments, and simulation tools such as ConSUMO. She also contributes to initiatives like the "Digital Girls" summer camp to reduce gender gaps in computer science education. Her peer-reviewed articles span theoretical models validated through simulation, practical implementations, and interdisciplinary studies on organizational behavior. Her work integrates technical solutions with social impact, particularly in multidisciplinary contexts.

Senad Kulenovićمشاهده پروفایل

مدرس

• Digital Transformation
• Business Process Modeling
• Digital Marketing
• +۳ مورد دیگر

Senad Kulenović is a Lecturer at Algebra University's Business School and an external partner of ICT HUB Belgrade. With a background in telecom industry management, he specializes in digital transformation and business process modeling. Current affiliation: Algebra University (since 2017) External lecturer: ICT HUB (collaborating with companies like Societe Generale Bank, Nafta Industrija Srbije, and USAid) Teaching focus: Digital Transformation, Business Process Modeling Research interests include: Digital platform development (websites, web stores, mobile apps) Multi-channel business models and user experience (UX) design Corporate digitalization strategies for medium/large enterprises Professional activities span Croatia, Austria, and Serbia, with notable collaborations at companies like Roche Srbija, Fresenius, and MSD. He has led digital transformation projects since 2011 and taught MBA modules continuously since 2015.

Jonathan M. Smithمشاهده پروفایل

استاد

• Network Subsystems
• Distributed Computing
• Network Evolution
• +۴ مورد دیگر

Jonathan M. Smith holds the Olga and Alberico Pompa Professorship in Engineering and Applied Science and is a Professor of Computer and Information Science at the University of Pennsylvania. His office is located in Levine Hall, and he maintains an active research program focused on network systems evolution. His career trajectory includes foundational work in high-performance networking (AURORA Gigabit Testbed), protocol innovation (Protocol Boosters, SwitchWare), and cognitive systems for mobile environments. Education: Ph.D. and M.S. in Computer Science (Columbia University) A.B. in Mathematics, Magna Cum Laude (Boston College) Research spans distributed computing, network architecture, security, and adaptive systems. His current work employs cognitive approaches to automate configuration in mobile systems. Key themes include programmable networks, hardware-software co-design, and secure protocol frameworks. Publications emphasize active networking, distributed systems, and security, with recent trends showing increased focus on mobile robustness, network monitoring, and hardware acceleration. His articles consistently address scalability and adaptability challenges in evolving network infrastructures. Scientific Awards: DARPA Information Science and Technology Advisory Panel (2009-2011) Office of the Secretary of Defense Medal for Exceptional Public Service (2006) IEEE Fellow (2001) DARPA Active Networks Distinguished Investigator Award (2000) Advising and Grants: Mentored 9+ PhD graduates now in academia (Columbia, U. Maryland) and industry (Intel, Bell Labs). Secured DARPA funding for programs including SAPIENT, ACERT, and BOSS during his term as IPTO Program Manager (2004-2006). Leads the Network Systems Research Group at Penn, collaborating on projects like SwitchWare and AURORA.

• Electrical Engineering
• Renewable Energy Systems
• Electric Motor Control
• +۳ مورد دیگر

Prof. Dr. Petar Matić is a Full Professor at the Faculty of Electrical Engineering , University of Banja Luka, specializing in electric motor control, power systems optimization, and renewable energy integration. He has led numerous national and international research projects, including "Unapredjenje sistema obnovljive energije u Jadransko-jonskom regionu kroz koriscenje digitalnih blizanaca" (2024–2027) and "Digital Position Control System with a BLDC Motor Using Field Oriented Control" (2023). His work focuses on improving energy efficiency, fault detection, and control algorithms in electrical systems. Research Interests: Optimization of induction and synchronous motor drives, renewable energy hybrid systems, magnetic field-based fault detection, and smart grid technologies. Projects: Led EU-funded INTERREG project (€225,000+), multiple Ministry of Science-funded initiatives, and industry collaborations with ABB. Publications: Over 25 peer-reviewed articles in IEEE, IET, and regional journals, including key works on BLDC motor control, transformer hot-spot temperature modeling, and fault passage indicators. Infrastructure: Developed laboratory setups like VEKTRA test bench for control algorithm verification and magnetic field-based fault detection systems.

Andreas Kochمشاهده پروفایل

پژوهشگر

• Computational Modeling
• Compressible Multiphase Flows
• CutDG Methods
• +۳ مورد دیگر

Andreas Koch is a Research Associate at the Professorship of Simulation for Additive Manufacturing at the Technical University of Munich (TUM), Germany. His research focuses on computational modeling of compressible multiphase flows, CutDG methods, and high-performance computing with software development. He holds a Master of Science (M.Sc.) in Mechanical Engineering from TUM (2024). Research Interests Koch's work bridges computational mechanics and machine learning, with emphasis on cut discontinuous Galerkin methods for simulating complex flows and high-performance computing systems. His publications demonstrate expertise in machine learning applications for aerospace systems, including anomaly detection in spacecraft telemetry and deep learning acceleration for spaceborne hardware. Scientific Awards ERC Starting Grant Publications (2024-2013) His research portfolio includes 15 recent publications spanning edge AI solutions for spacecraft , RF synchronization systems, and machine learning frameworks for aerospace applications. Earlier work explores robot perception and geoinformatics implementations.

Håkan Johanssonمشاهده پروفایل

استاد

• Signal Processing
• Communications Engineering
• Digital Filter Design
• +۳ مورد دیگر

Håkan Johansson is a Professor at the Department of Electrical Engineering (ISY) at Linköping University, Sweden, affiliated with the Division of Communication Systems (KS). This division conducts research and education in communications engineering, statistical signal processing, and network science, emphasizing strong industrial collaborations and practical research applications. His research spans Signal Processing , Communications Engineering , and Digital Filter Design , focusing on low-complexity and reconfigurable solutions for communication systems. Key areas include power amplifier linearization, advanced sampling techniques, and equalization algorithms for 5G/6G and massive MIMO systems, with strong emphasis on implementation efficiency and real-world applicability. Recent publications (2024-2025) reveal a concentrated effort on energy-efficient signal processing for next-generation wireless infrastructure. Dominant themes include linearization of power amplifiers in multi-antenna systems, reconstruction of complex signals from nonuniform sampling, and machine learning integration for UAV communications, reflecting industry-driven priorities for 6G development. No scientific awards were documented in the provided materials. Professor Johansson operates within a robust research ecosystem at ISY, supervising PhD students in the Communication Systems division alongside colleagues like Erik G. Larsson (Head of Division). While specific grant details are absent, his extensive publication record indicates sustained funding for high-impact telecommunications research. He contributes to Linköping University's Communication Systems division, a collaborative hub bridging theoretical signal processing with industrial applications. The team specializes in end-to-end communication solutions from algorithm design to hardware implementation, maintaining strong ties with Sweden's telecommunications sector for rapid technology transfer.

Tom Igoeمشاهده پروفایل

استاد

• Interactive Design
• Physical Computing
• Creative Technology
• +۲ مورد دیگر

Tom Igoe serves as an Arts Professor at the Interactive Telecommunications Program (ITP) within New York University's Tisch School of the Arts, where he pioneers experimental approaches to time-based interactive systems. His research explores the intersection of physical computing and creative technology through unconventional clock designs, focusing on hardware fabrication, microcontroller programming, and tangible interfaces that challenge traditional timekeeping. Notable projects include the Email Clock (2002, 2005), which advances based on incoming email volume, and an extensive educational repository providing software examples, hardware schematics, and fabrication techniques for kinetic art installations. No scientific awards were documented in the source material. Igoe actively mentors students in the ITP program through collaborative development of interactive projects, though specific advisees and grant funding details were not disclosed. His work emphasizes pedagogical resource creation for the broader interactive design community. He maintains a specialized clock repository developed with students, featuring microcontroller-driven hardware examples and fabrication guides that serve as foundational resources for scholars exploring time as a creative medium.

Marjan Miloševićمشاهده پروفایل

دانشیار

• E-learning
• Information Security
• Computer Networks
• +۴ مورد دیگر

Dr. Marjan Milošević is an Associate Professor at the Department of Information Technologies , Faculty of Technical Sciences in Čačak , University of Kragujevac , Serbia. His academic work focuses on e-learning systems, information security, and computer networks. He serves as Head of the doctoral academic study program in Information Technology and manages the e-learning system at his institution. Education: PhD in 'Development and implementation of a security module and its impact on the quality of e-education' (2016), Master's in Information Technology (2008), and Bachelor in Engineering and Informatics (2003), all from Faculty of Technical Sciences in Čačak. Research interests span e-learning security, technology acceptance models, software testing optimization, and remote/distributed education systems. He has developed methodologies for integrating security into educational platforms and explored BYOD (Bring Your Own Device) adoption in classrooms. Recent publications analyze HTTP/3 protocol performance in IoT/fog computing, gamification in software testing courses, and genetic algorithm applications for testing optimization. His work also addresses course timetabling challenges and blended learning environments.

• Wireless Sensor Networks
• Computer Engineering
• IoT
• +۷ مورد دیگر

Dr. Uroš Pešović serves as an Associate Professor in the Department of Computer and Software Engineering at the Faculty of Technical Sciences in Čačak, University of Kragujevac, Serbia. With over 15 years of academic service, he has progressed from teaching associate (2007-2018) to assistant professor (2018-2023) and currently holds the position of associate professor for Computer Engineering (2023-2028). Elementary school "Milica Pavlović" Čačak (1989-1997), average grade 5.00 - holder of Vuk's diploma Secondary Technical School Čačak (1997-2001), automation electrical technician, average grade 5.00 - holder of Vuk's diploma Technical Faculty, Čačak, University of Kragujevac (2001-2006), B.Sc. electrical engineer for computer technology, average grade 9.03 Faculty of Electrical Engineering, Computer Science and Informatics, University of Maribor, Slovenia (2007-2010), Master of Electrical Engineering, Major in Telecommunications, average grade 9.75 Faculty of Electrical Engineering, Computing and Informatics, University of Maribor, Slovenia (2010-2016), doctor of technical sciences, doctoral dissertation "Error probability model for IEEE 802.15.4 wireless transmission with co-channel interference and background noise" Dr. Pešović's research spans wireless sensor networks, IoT applications, computer architecture, and reliability engineering. His work demonstrates a strong focus on practical implementations of theoretical models, particularly in IEEE 802.15.4 wireless communication protocols and their applications in precision agriculture, industrial monitoring, and network communication systems. His expertise bridges hardware and software design, with recent work emphasizing machine learning applications for predictive maintenance and anomaly detection in storage systems. Analysis of his recent publications reveals a clear evolution from foundational wireless communication research toward more applied work in precision agriculture, industrial IoT, and educational technology. His current research emphasizes practical problem-solving in agricultural technology using LoRa and other wireless technologies, predictive maintenance of storage systems using machine learning, and innovative approaches to computer engineering education. Dr. Pešović teaches across all academic levels, including undergraduate courses in Computer Architecture, Organization of Computer Systems, Microcontroller Systems, and Computer Networks, as well as graduate courses in Hardware-Software Design, Intelligent Sensors, and Industrial Communication Networks. At the doctoral level, he teaches courses on integrated hardware-software design, disk performance, and telecommunication systems modeling.