جست‌وجوی استاد و پژوهشگر

Przemysław Sypkaمشاهده پروفایل

استادیار

• Digital Signal Processing
• Computational Techniques
• Numerical Methods
• +۴ مورد دیگر

Przemysław Sypka serves as an Assistant Professor in the Department of Electronics at AGH University of Science and Technology, specifically within the Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering. He is stationed in Pavilion C3, Room 506, where he conducts his academic activities and consultations. Dr. Sypka's research interests center around digital signal processing, computational techniques, and numerical methods. His expertise encompasses Fourier analysis, digital filter design (including FIR and IIR filters), spectral analysis techniques, and various numerical computation approaches. His work demonstrates strong connections between theoretical signal processing concepts and practical implementation using computational tools. As an educator, Dr. Sypka teaches several courses including Digital Signal Processing, Computational Techniques, and Engineering Computational Technologies. His teaching methodology emphasizes practical implementation through MATLAB, with laboratory sessions covering topics from basic signal generation to advanced filter design and numerical methods. He has developed comprehensive course structures with detailed assessment methods focusing on practical algorithm implementation. Contact: sypka@agh.edu.pl Phone: +48 12-617-27-52 Office: Pavilion C3, Room 506 Dr. Sypka maintains rigorous academic standards in his courses, requiring students to demonstrate both theoretical understanding and practical implementation skills. His assessment methods include practical MATLAB examinations where students must implement algorithms while demonstrating conceptual understanding of the underlying principles.

Elek Kálmánمشاهده پروفایل

استاد مدعو

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

Dr. Elek Kálmán is an Adjunct Professor at the Department of Telecommunications (BME-HIT) within the Faculty of Electrical Engineering and Informatics at Budapest University of Technology and Economics (BME). He is affiliated with the Signal Processing Lab and contributes to academic activities in telecommunications and related fields. His teaching materials cover a broad range of topics including source coding, error-correcting coding, analog and digital modulation techniques, discrete-time systems, filter design (IIR, FIR, adaptive filters), digital data transmission, FFT, phase-locked loops (PLL), and adaptive signal processing. These materials are organized under courses such as Information and Communication Systems and Design of Signal Processing Systems .

• Signal Processing
• Communication Systems
• Digital Filters
• +۳ مورد دیگر

José Bienvenido Sáez Landete is an Associate Professor at the Universidad de Alcalá, affiliated with the Signal Theory and Communications Department. He holds a PhD from Universidad Complutense de Madrid (2006), focusing on optical signal generation for high-resolution positioning systems. His research spans signal processing, communication systems, digital filter design, and chaos theory applications. Notable contributions include work on α-spline-based filter design, validation metrics for solid mechanics models, and chaos-based modulation techniques for visible light communication systems. He has collaborated on interdisciplinary educational projects, such as competency-based curriculum development at UAH. His publications demonstrate expertise in both theoretical and applied aspects of signal processing, with applications ranging from planetary science (Mars atmospheric data analysis) to optical engineering. Research interests include: Design and optimization of digital filters using α-spline functions Chaos-based modulation for robust multicarrier systems Validation techniques for mechanical models and sensor data Interdisciplinary educational strategies in engineering curricula Recent work emphasizes parallel computing approaches for chaos indicators and novel parameterization methods in signal processing. His educational contributions address competency planning and interdisciplinary innovation in higher education. Key collaborations include projects on LED nonlinearity compensation and Mars atmospheric denoising algorithms, reflecting a dual focus on theoretical advancement and real-world applications.

• Digital Circuits
• VLSI Design
• Signal Processing
• +۴ مورد دیگر

Paulo Flores holds the position of Associate Professor at the Department of Electrical and Computer Engineering within the Instituto Superior Técnico of the University of Lisbon. His academic career is deeply rooted in Electronics and Digital Systems, with a focus on VLSI design, FPGA optimization, and hardware acceleration for bioinformatics applications. He has contributed extensively to research in multiplierless constant multiplication algorithms, low-power circuit design, and quaternary logic implementations. Notable achievements include the SAT Competition 2014 and 2013 Bronze Medals for innovative contributions in formal methods and algorithmic efficiency. His teaching responsibilities include advanced courses in digital systems design, electronic engineering projects, and laboratory guidance in topics like operational amplifiers and FIR filters. Flores actively collaborates with research units like INESC-ID and has supervised multiple academic projects in electronic engineering and digital signal processing. Research interests span across circuit testing, embedded systems optimization, and multi-valued logic architectures. His work frequently explores trade-offs between computational efficiency and energy consumption in hardware implementations.

• Computer Science
• Electrical Engineering
• Computer Architecture
• +۳ مورد دیگر

Oliver M. Vojinović serves as an Assistant Professor in the Department of Electrical Engineering and Computing at the Faculty of Electronic Engineering, University of Niš. Appointed to his current academic rank in 2017 after serving as an assistant trainee since 2001, he maintains active roles in teaching and research within Serbia's academic framework. His educational foundation includes a Bachelor's degree (2000) and Master's degree (2008), both in Electrical Engineering and Computer Science from the Faculty of Electronic Engineering. These qualifications established his technical expertise in computing systems and electrical engineering disciplines. Dr. Vojinović's research spans Computer Science, Electrical Engineering, and Education Technology, with concentrated efforts in Computer Architecture simulation tools and optimized Signal Processing implementations. His work bridges theoretical computing concepts with practical engineering applications, particularly through development of educational simulation environments like SimArch for computer architecture instruction. Analysis of his publication history reveals consistent contributions to folded FIR filter architectures and computer science education methodologies. The trajectory shows evolving focus from hardware implementation (2002-2004) toward pedagogical applications of computing (2005-2007), demonstrating interdisciplinary integration of engineering principles with educational innovation. Currently engaged in one national and one international research project, he contributes to academic advancement through project-based learning initiatives and TEMPUS mobility programs. His institutional involvement includes participation in faculty quality assurance frameworks and continuous education programs at the University of Niš.

Eric Balsterمشاهده پروفایل

استاد

• Signal Processing
• Image Processing
• Video Compression
• +۲ مورد دیگر

Eric Balster is Professor and Department Chair of Electrical and Computer Engineering at the University of Dayton's School of Engineering. He graduated Magna Cum Laude with B.S. and M.S. degrees from Dayton and earned his Ph.D. from The Ohio State University. His research focuses on signal/image processing, video compression, embedded systems, and digital design, with applications in aerial surveillance. He previously worked at the Air Force Research Laboratory (AFRL), leading software development for persistent surveillance systems. Dr. Balster has received multiple awards including the Wohlleben-Hochwalt Research Award (2011) and Fred I. Diamond Award (2006). He teaches courses ranging from digital systems to signal processing and serves as IEEE faculty adviser.

• Sensor Design
• Signal Processing
• Servosystem Control
• +۵ مورد دیگر

Richard Kavanagh is a Senior Lecturer at University College Cork (UCC) in the School of Electrical & Electronic Engineering, directing the Mechatronics Research Laboratory. He holds a PhD from UCC and is a Chartered Engineer listed in Marquis Who's Who in Science and Engineering. His research focuses on sensor design, advanced signal processing, quantization effects analysis, servosystem control, and VR-based mechatronics education. He has held roles including Senior Research Scientist at PEI Technologies and Senior Project Engineer at SPS Laboratories. Education: BEng (Electrical) 1984, MEngSc 1985, PhD 1998 – all from UCC. Professional affiliations include Senior Member of IEEE (1994-1999) and membership in ASEE and IEI. Research interests emphasize theoretical and practical advancements in digital signal processing for quantized signals, nonuniform sampling, and mechatronics visualization. His work includes novel algorithms for velocity measurement, FIR filter design for quantized signals, and compliant mechanism synthesis. Publications span over three decades, with key contributions in IEEE Transactions, ASME, and international conferences. He serves as Associate Editor for IEEE Signal Processing Letters and has contributed to projects like the Blue City initiative addressing urban hydrology and sea level rise in Cork. Teaching includes modules on Industrial Automation and Robotics. His lab develops test systems for complex industrial processes and mechatronic visualization tools.

• Digital Signal Processing
• Spectral Analysis
• Pattern Recognition
• +۷ مورد دیگر

Maria Ragousi is a faculty member in the Department of Electrical and Electronic Engineering at the University of West Attica, affiliated with the School of Engineering. She holds a PhD in Digital Signal Processing and Pattern Recognition from NTUA (1994), an MSc from the University of Virginia (1990), and a Diploma in Electrical Engineering from NTUA (1987). Her academic role is as a Lecturer, focusing on courses such as Digital Signal Processing, Biomedical Signal Processing, and Educational Technologies. Education: PhD (1994): Digital Signal Processing & Pattern Recognition, NTUA MSc (1990): Digital Signal Processing, University of Virginia Diploma (1987): Electrical Engineering, NTUA Her research interests span Digital Signal Processing (DSP), Spectral Analysis, Pattern Recognition (including neural networks and genetic algorithms), Biomedical Signal Processing, Wireless Sensor Networks for environmental monitoring, and E-Learning technologies. She has contributed to over 30 peer-reviewed publications, including work on EEG-based person identification, environmental sound classification, and educational data mining. Recent research emphasizes integrating machine learning into education and developing tools for environmental acoustic monitoring. She has collaborated on projects like the ESOUNDMAPS initiative, deploying wireless sensor networks for real-time environmental sound mapping. Her work also explores active learning methodologies in physics education and visualization of e-learning platform data. Maria advises courses at both undergraduate and postgraduate levels, including specialized programs in medical signal analysis and smart electronic systems. She actively participates in academic governance and has led several educational innovation projects funded by national and international grants.

Биљана П. Стошићمشاهده پروفایل

دانشیار

• Telecommunications
• Signal Processing
• Filter Design
• +۲ مورد دیگر

Биљана П. Стошић serves as an Associate Professor in the Department of Telecommunications at the Faculty of Electronic Engineering, University of Niš, Serbia. Appointed to this position in 2025, she maintains active roles in research, teaching, and professional leadership within the telecommunications engineering community. Her academic credentials include a PhD (2008), Master's degree (2004), and Diploma (1999), all in Telecommunications from the Faculty of Electronic Engineering, University of Niš. This foundational education established her expertise in core telecommunications principles and advanced signal processing techniques. Dr. Stošić's research centers on Telecommunications and Signal Processing with specialized focus on Filter Design, Microwave Engineering, and Artificial Neural Networks applications. Her work bridges theoretical innovation with practical implementations in communication systems, particularly through novel filter architectures and teletraffic modeling. Significant contributions include the development of CIC/FIR filter functions, Chebyshev polynomial applications, and neural network solutions for Erlang B formula calculations. Analysis of her 10+ journal publications reveals consistent emphasis on improving signal processing efficiency in communication systems. Key trends include multirate filter design for reduced insertion loss, passband-droop compensation techniques, and computational methods for microwave circuit analysis. Her research demonstrates increasing integration of AI methods with traditional telecommunications engineering. She actively participates in 9 national and 5 international research projects, reflecting strong grant acquisition capabilities. Professional service includes editorial roles for Microwave Review (2014-2022) and extensive reviewing for IEEE Transactions, Electronics Letters, and other top-tier journals. Conference involvement spans technical co-editing for TELSIKS (2007-2023) and program committee roles for ICEST and TSP. As an IEEE Senior Member, she leads the Women in Engineering Affinity Group and MTT-S Chapter for Serbia and Montenegro. Her ERASMUS+ mobility experiences at Technical University of Sofia and Malta College of Arts, Science and Technology demonstrate international collaboration. Professional affiliations include IEEE Signal Processing Society, Microwave Theory and Techniques Society, and the Association for Microwave Technique, Technologies and Systems.

• Electronic design automation
• Hardware security
• Optimization
• +۵ مورد دیگر

Dr. Levent Aksoy is a Senior Research Fellow at Tallinn University of Technology, School of Information Technologies, Department of Computer Systems, where he has been working since 2020 (initially as a Post-Doc and since November 2023 as Senior Research Fellow). His academic journey began with a BSc from Yildiz Technical University, followed by MSc and PhD degrees from Istanbul Technical University in Electronics and Communication Engineering. Dr. Aksoy's research primarily focuses on electronic design automation, hardware security, and optimization techniques. His work spans several key areas including logic locking, circuit obfuscation, multiplierless design methods for constant multiplications, and switching lattices for efficient logic implementation. He has published extensively in top-tier IEEE journals and conferences, with a strong emphasis on hardware security mechanisms and efficient circuit design. His recent publications (2020-2025) demonstrate a clear research trajectory toward hardware security, with numerous papers on logic locking techniques, structural analysis attacks, and hardware obfuscation methods. This research direction aligns with his current leadership of the EAGER project on 'Hardware-Efficient Realization of UA Cryptographic Standards' and his involvement in the European Space Agency project on 'End-to-End Supply Chain Protection'. Dr. Aksoy has received multiple awards for his research contributions, including: First place in HELLO: CTF 2022 (2023) Best paper award at DDECS (2022) Best paper award at EUC (2015) As a supervisor, Dr. Aksoy currently guides three students working on hardware security topics, including lightweight cryptography implementations and advanced hardware protection mechanisms. He also serves on PhD and MSc defense committees at Tallinn University of Technology and Linköping University. His professional service includes IEEE membership and reviewing for prestigious IEEE transactions and conferences such as DATE, ICCAD, and ISCAS.