Find Academic Supervisors

Ove Kjeld AndersenView profile

Associate Professor

• Speech Synthesis
• Signal Processing
• Digital Signal Processing
• +7 more

Ove Kjeld Andersen is an Associate Professor at the Department of Electronic Systems within the Technical Faculty of IT and Design at Aalborg University. His research focuses on speech synthesis, signal processing, and digital filter design, with notable contributions to areas like approximate multiplication, phase information, and non-spectral features. He is actively involved in projects such as 'Access for All,' which aims to improve accessibility through technological solutions. Andersen has contributed to over 70 research outputs, including peer-reviewed articles and conference proceedings. His work spans adaptive signal processing, numerical robustness in bi-quad structures, and computational methods for line spectral frequencies. He has also engaged in public discourse on engineering education and IT workforce challenges in Denmark. Andersen holds leadership roles in committees like the Koordineringsudvalg for Aalborg Universitet og Ingeniørhøjskolen i København (IHK) and is a member of the Netværk om Handicap, Dialog og Teknologi. His research has been featured in media outlets discussing topics such as robotic education and synthetic voice technology.

Ivana Z. KostićView profile

Assistant Professor

• Signal Processing
• Control Systems
• Electronics
• +2 more

Ivana Z. Kostić serves as an Assistant Professor in the Department of Electronics at the Faculty of Electronic Engineering, University of Niš, Serbia, appointed in 2019. Her work bridges theoretical signal processing and practical industrial applications. Her academic foundation includes: Master of Academic Studies in Electronics (2019), Faculty of Electronic Engineering, University of Niš Basic Academic Studies in System Management (2018), Faculty of Electronic Engineering, University of Niš Dr. Kostić specializes in digital filter design, particularly notch and IIR filters with linear phase characteristics, alongside biomedical thermal imaging and SCADA-based control systems. Her research demonstrates expertise in optimizing filter symmetry, phase response, and real-world implementation for applications ranging from health diagnostics to environmental regulation. Analysis of her 2018–2021 publications reveals a concentrated focus on digital signal processing advancements, with 83% of works addressing filter design innovations. Emerging interests include cross-disciplinary applications in biomedical engineering and industrial automation, evidenced by thermal imaging studies and SCADA system implementations. No scientific awards or fellowships are currently documented in her professional profile. Regarding academic mentoring and research funding, no information is available about graduate student supervision or active grant participation. Similarly, details regarding laboratory facilities or collaborative research teams are not provided in the source material.

• Integrated Circuit Design
• Radio Frequency (RF) Engineering
• Capacitive Feedback Systems
• +3 more

Stef van Zanten is a researcher specializing in Integrated Circuit Design, with a focus on radio frequency (RF) engineering and capacitive feedback systems. His work spans advanced technologies in low-power electronics and switched-capacitor filters. His research interests include: Mixer-First Receivers Capacitive Stacking Architectures Switched-Capacitor Filter Optimization Adjacent Channel Interference Mitigation Energy-Efficient RF Circuit Design Stef has contributed to 4 research outputs (2024-2025), exploring topics like capacitive stacking mixers, N-path filters, and noise trade-offs in low-pass filters. His work emphasizes energy efficiency and performance optimization in high-frequency circuits. Scientific recognition includes: Jan van Vessem award for outstanding European paper (Recipient, Feb 2025) Stef also participated in organizing the SAFE/ProRISC 2022 conference and collaborates on international research projects in RF engineering.

• Signal Processing
• Communications Engineering
• Artificial Intelligence
• +2 more

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.

Tim BrownView profile

Senior Lecturer

• Antenna Design
• Radio Frequency Propagation
• Wireless Communication Systems
• +7 more

Dr. Tim Brown is a Senior Lecturer in RF Antennas and Propagation at the University of Surrey's Institute for Communication Systems (ICS), part of the School of Computer Science and Electronic Engineering. He leads postgraduate studies and oversees academic programs in electronic engineering. His expertise spans antenna design, radio frequency propagation, and wireless communication systems, with a focus on optimizing spectrum use and reducing electromagnetic field (EMF) exposure in user devices. Education: Completed a PhD in diversity antennas for mobile terminals (2004) and postdoctoral research at Aalborg University, Denmark, focusing on MIMO channel characterization and antenna designs. Research Interests: Includes MIMO systems, UWB, RFID/NFC technologies, THz communication, and SAR reduction techniques. His work bridges theoretical research with practical applications, such as CPD courses for industry professionals and collaborations with EU frameworks and UK research councils. Publications: Over 50 peer-reviewed articles in IEEE journals and conferences, emphasizing THz channel modeling, antenna innovation, and EMF mitigation. Recent work addresses sub-THz scattering, LAMM multiplexing, and SAR reduction in smartphone terminals. Awards: None explicitly listed, though recognized for editorial roles and research impact (e.g., leading a £8M initiative for AI-era network training). Advising & Grants: Coordinates MSc dissertations and leads industry partnerships. His lab focuses on future wireless systems, including 6G and THz technologies. Labs/Teams: Directs the ICS's antenna and propagation research group, contributing to Surrey's reputation for vocation-oriented education and professional skills development.

Heng LiuView profile

Assistant Professor

• Microeconomic Theory
• Mechanism Design
• Dynamic Game Theory
• +4 more

Heng Liu is an Assistant Professor of Economics at the University of Michigan’s Department of Economics, part of the College of Literature, Science, and the Arts. He holds a Ph.D. in Economics from the University of Rochester (2015). His research focuses on microeconomic theory, particularly mechanism design and dynamic game theory, with an emphasis on employer-worker relationship optimization and intertemporal tradeoffs. He emphasizes incorporating features like learning and information spillover into economic models to address modern dynamic problems. Collaborators include Doruk Cetemen, Bingchao Huangfu, and Gagan Ghosh. He values the University of Michigan’s supportive environment, citing strong departmental leadership and staff assistance during his transition. Education: Ph.D. in Economics, University of Rochester (2015). Research interests include designing optimal employer-worker contracts, dynamic game theory applications, and exploring how learning processes affect economic outcomes. Current projects examine wage contracts and long-term employer-worker relationships, with plans to expand interdisciplinary collaborations. Teaching includes Ph.D.-level courses in microeconomic theory, which he finds intellectually stimulating. Future work aims to address incentive problems in dynamic economic environments through advanced modeling techniques. Despite the listed technical articles, his stated research aligns with theoretical economics, suggesting potential interdisciplinary contributions or data overlap with another academic of the same name. Grants and advising: Mentors Ph.D. students emphasizing research passion and commitment. No explicit grants are highlighted in the provided text. Labs/Teams: Actively engaged with the Economics theory group at U-M and collaborates with external researchers in Seoul National University and other institutions.

Dragana U. ŽivaljevićView profile

Assistant Professor

• Electrical Engineering
• Signal Processing
• Computational Electromagnetics
• +3 more

Dragana U. Živaljević is an Assistant Professor at the Faculty of Electronics, University of Niš, within the Department of Theoretical Electrical Engineering. She earned her PhD in Theoretical Electrical Engineering from the same institution in 2007 and has been a faculty member since 2001. Her research focuses on digital filter design, computational electromagnetics, and magnetic field generation, with notable contributions to IIR filter optimization and numerical methods for electromagnetic systems. Her work includes studies on generating homogeneous magnetic fields within ellipsoidal coils and developing recursive digital filters with equiripple group delay characteristics. She has published in journals like the International Journal of Electronics and Communications (AEUE) and presented at conferences such as UNITECH'05 and PES 2005. No scientific awards are listed, and her participation in grants or projects is unspecified. She has no recorded advisees or students listed in the provided data.

Vera ErbesView profile

Researcher

• Spatial Audio
• Acoustics
• Digital Signal Processing
• +5 more

Dr.-Ing. Vera Erbes is a Researcher at the Institute of Communications Engineering (University of Rostock) and previously worked at the Audio Communication Group of TU Berlin. Her work focuses on spatial audio , acoustics , and digital signal processing , with a particular emphasis on Wave Field Synthesis and psychoacoustic studies . Education : Dipl.-Ing. in Electrical Engineering Current Position : Scientific Staff Member at University of Rostock Research Areas : Spatial Audio, Room Acoustics, Binaural Reproduction, Virtual Reality Applications Her publications (2012–2020) explore sound field synthesis, perceptual evaluation of acoustic systems, and audio signal processing. She has contributed to open educational resources and databases for spatial audio research, including head-related transfer functions and room impulse responses . Erbes has collaborated with institutions like TU Berlin and the Audio Engineering Society, advancing techniques in virtual source localization and noise perception in acoustic environments.

Goran Z. StančićView profile

Professor

• Digital Signal Processing
• IIR Filter Design
• Linear Phase Filters
• +5 more

Goran Z. Stančić is a Full Professor at the Faculty of Electronics, University of Niš, Department of Electronics, where he has been serving since his appointment in 2024. He completed his academic education entirely at the same institution, earning his PhD in 2013, Master's in 1999, and undergraduate degree in 1991, all in Electronics. His research focuses on digital signal processing, particularly in the design and optimization of IIR filters, including fullband differentiators, notch filters, and filters with approximately linear phase. His work emphasizes efficient structures such as parallel all-pass systems and symmetry in magnitude responses. The recent publications show a consistent trend in improving phase linearity, reducing complexity, and enhancing magnitude response in IIR filter designs. His work spans both theoretical filter design and practical modeling, including ultrasonic transducer systems. He is currently participating in two national research projects and has published 11 papers in journals with impact factors. His collaborations include researchers such as Saša V. Nikolić, Ivan Krstić, and Miloš Đurić. While no formal awards are listed, his sustained publication record in high-quality journals reflects strong scholarly impact. He advises students and researchers in digital filter theory and signal processing applications. He is affiliated with the Department of Electronics at the Faculty of Electronics in Niš, contributing to research, education, and national-level scientific projects.

Przemysław SypkaView profile

Assistant Professor

• Digital Signal Processing
• Computational Techniques
• Numerical Methods
• +4 more

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 KálmánView profile

Adjunct Professor

• Signal Processing
• Telecommunications
• Digital Communications
• +3 more

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 .

Saša V. NikolićView profile

Professor

• Digital Filter Design
• Signal Processing
• Electronic Circuit Design
• +2 more

Saša V. Nikolić is a Professor of Electronics at the Faculty of Electronic Engineering, University of Niš. He holds a permanent faculty position with extensive contributions to digital filter design and signal processing research. His educational background includes: Bachelor's Degree in Electronics (1991, University of Niš) Master's Degree in Electronics (1996, University of Niš) PhD in Electronics (2004, University of Niš) Nikolić's research focuses on advanced digital filter design techniques, particularly IIR notch filters, Chebyshev approximation methods, and linear phase systems. His work bridges theoretical circuit design with practical signal processing applications in telecommunications and electronic systems. Recent publications demonstrate expertise in optimizing filter magnitude responses while maintaining phase linearity—a critical challenge in real-time signal processing systems. His publication trends reveal sustained contributions to core electronics journals, with emphasis on non-iterative design methods, multi-notch systems, and thermal characterization of electronic components. Key venues include AEU - International Journal of Electronics and Communications (IF: 2.924) and Circuits, Systems and Signal Processing. Nikolić actively participates in national research projects and has co-authored a monograph of exceptional national significance titled 'On the Direct Design of Recursive Digital Filters' (2012). His textbook 'Signali i Sistemi' (2017) serves as foundational material for electronics students at the University of Niš. He maintains laboratory operations at Room 7 of the Faculty of Electronic Engineering (contact: +381 (18) 529-607) and contributes to curriculum development through departmental committees.

Milan ČabarkapaView profile

Associate Professor

• Telecommunications
• Signal Processing
• RF Engineering
• +2 more

Milan Čabarkapa is an Associate Professor at the University of Kragujevac's Faculty of Engineering, Department of Electrical Engineering and Computer Science. His research spans telecommunications, signal processing, and RF engineering, with focus on distortion compensation in wireless systems and computational solutions for electromagnetic problems. Čabarkapa develops methods for nonlinear distortion compensation in MIMO transmitters, electromagnetic field modeling, and machine learning applications for signal processing. Recent work explores AI evaluation in linguistics, IoT education tools, and foreign investment analysis frameworks. He contributes to educational initiatives by developing accessible Arduino simulation tools for IoT pedagogy, making hardware experimentation available through online platforms.

• Acoustic Source Modeling
• Active Noise Control
• Room Acoustics Simulation
• +3 more

Dr. Yangfan Liu is an Assistant Professor of Mechanical Engineering at Purdue University's West Lafayette School of Mechanical Engineering. His primary affiliation is with the Department of Mechanical Engineering, where he focuses on acoustics and noise control research. His work integrates computational modeling, signal processing, and experimental validation to address challenges in noise reduction and sound field analysis. Research interests include Acoustic Source Modeling , Active Noise Control , Room Acoustics Simulation , and Human Perception of Noise . He develops advanced algorithms for noise mitigation in mechanical systems, such as compressors and wind turbines, and explores novel materials like piezoelectric composites for acoustic applications. His recent work emphasizes multi-physical modeling of noise generation mechanisms and constraint-based filter design for real-time noise cancellation systems. Collaborations involve CFD-CAA coupling and machine learning for fault diagnosis in electrified powertrains. Key contributions include the Virtual Rotating Array method for source localization and the Computational Statistically Optimized Near-Field Acoustical Holography (C-SONAH) . His research bridges fundamental acoustics theory with industrial applications in automotive, HVAC, and renewable energy sectors. Dr. Liu is based at the Herrick Labs (HLAB 1008) and can be reached via email .

• Computer Science
• Technology
• Artificial Intelligence
• +8 more

Ståle Andreas Skogstad is a Research Fellow at the University of Oslo , affiliated with the Department of Informatics under the Faculty of Mathematics and Natural Sciences . His research focuses on real-time digital filter design , motion capture technologies , and human-computer interaction in musical contexts.