Biomedical Signal Processing Professors and Supervisors in Macedonia

Zoran Hadzi-Velkovمشاهده پروفایل

استاد

University of SkopjeMacedonia

Prof. Zoran Hadzi-Velkov is a Full Professor of Telecommunications Engineering at the Faculty of Electrical Engineering and Information Technologies, Ss. Cyril and Methodius University (Skopje, Macedonia). He holds a Ph.D. from the same institution and has held visiting positions at IBM Watson Research Center (USA) and Friedrich Alexander University Erlangen-Nuremberg (Germany). His research focuses on wireless communications, energy-efficient networks, and federated learning. He serves as Editor for IEEE Transactions on Communications, IEEE Communications Letters, and ITU Journal, and has reviewed projects for EU Framework Programs and the Science Fund of Serbia. Education: Dipl. Ing. (honors), M.Sc. (honors), Ph.D. in Electrical Engineering (Ss. Cyril and Methodius University) His research interests include wireless powered communications, cooperative systems, and resource allocation. Key contributions span energy harvesting networks, intelligent reflecting surfaces (IRS), and federated learning protocols. He has authored over 150 journal/conference papers and co-authored book chapters in wireless power transfer and communication systems. Awards include the Humboldt Fellowship (2012), Scientist of the Year (2013), and institutional recognitions for editorial excellence. He advises prominent students like Dr. Nikola Zlatanov (Monash University) and Dr. Ivana Nikoloska (TU Eindhoven). Professional activities include chairing the Macedonian IEEE Communications Society (2012-2015), participating in Berlin Process science initiatives, and delivering keynotes at global forums (e.g., Humboldt Kollegs series). Current projects involve wireless energy transfer optimization and cross-border academic collaboration in the Western Balkans.

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Ojleska Latkoska Vesnaمشاهده پروفایل

پژوهشگر

University of SkopjeMacedonia

Fuzzy Logic
Machine Learning
Robotics
+۳ مورد دیگر

Ojleska Latkoska Vesna is a Researcher at the Institute of Automation and Systems Engineering within the Faculty of Electrical Engineering and Information Technologies at the Ss. Cyril and Methodius University in Skopje. She holds a BSc in Electrical Engineering from the same university (2004). Her career includes roles such as Junior Assistant (2007–present) and Associate-Demonstrator (2005–2007) at the institute, alongside a stint as a programmer at VIGOUR spol. S r.o. in Prague, Czech Republic (2004–2005). Her research focuses on Fuzzy Logic , Machine Learning , Robotics , and Biomedical Engineering . Key areas include fuzzy logic-based algorithms for electrical load management, epilepsy detection using neuro-fuzzy systems, robotics path planning, and feature reduction techniques in biomedical signal analysis. She explores interdisciplinary applications, blending control systems with renewable energy optimization and human-machine interaction. Her publications reflect a trend toward algorithmic innovation in healthcare diagnostics, robotics, and industrial automation. Notable contributions include comparative analyses of heliostat field control algorithms and experimental studies on electrostatic discharge effects in networked systems. She is affiliated with the Institute of Automation and Systems Engineering, contributing to both theoretical research and practical implementations in automation.

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Zlatkova Aleksandraمشاهده پروفایل

استادیار

University of SkopjeMacedonia

Zlatkova Aleksandra is affiliated with the Faculty of Electrical Engineering and Information Technologies at Ss. Cyril and Methodius University in Skopje. Her research spans interdisciplinary domains including Machine Learning , Signal Processing , and Energy Systems . Key contributions in Power Quality analysis using Convolutional Neural Networks Expertise in Federated Learning for Short-Term Energy Forecasting Developed the UbiLAB Framework for remote laboratory environments Explored Wavelet Transforms in Medical Image Processing Her work also addresses Smart Grid Security through Temporal Convolutional Networks and investigates Honeybee Swarming with Acoustic Signal Processing . Recent publications emphasize Multi-Horizon Forecasting and Deep Learning applications in energy and medical domains.

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Kuhar Andrijanaمشاهده پروفایل

مدرس

University of SkopjeMacedonia

Kuhar Andrijana is a Lecturer at the Institute of Electronics within the Faculty of Electrical Engineering and Information Technologies (FEIT) at Ss. Cyril and Methodius University in Skopje. She holds a BSc (2006), MSc (2010), and PhD (2018), all from FEIT. Her academic work focuses on applied electromagnetics and computational methods, with affiliations to research in electromagnetic field exposure and grounding systems. Her research interests span: Electromagnetics : Human exposure modeling near transmission lines and wireless networks. Numerical Methods : Finite Element Method (FEM), Method of Moments (MoM), and circuit-based simulations. Biomedical Engineering : ECG signal processing and cortical activity analysis. Electrical Safety : Grounding systems optimization and EMF impact assessment. Her recent publications (2017–2023) demonstrate a consistent focus on: Modeling electromagnetic exposure risks from infrastructure (e.g., transmission lines, 5G networks). Advancing numerical techniques for electrostatic and grounding problems. Exploring biomedical applications like ECG noise handling and neural signal representation. No scientific awards or student advisories are documented in available sources. She is affiliated with the Institute of Electronics' research initiatives but no specific labs or teams are detailed.

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Elena Hadzievaمشاهده پروفایل

استاد

University for Information Science and Technology St. Paul the ApostleMacedonia

Elena Hadzieva, PhD, is a Full Professor and currently serves as Dean of the Faculty of Information Systems, Visualization, Multimedia and Animation at the University of Information Science and Technology ‘St. Paul the Apostle’ in Ohrid, North Macedonia. She holds a PhD in Mathematics from the University ‘Ss. Cyril and Methodius’ (Skopje) with a thesis on Iterated Function Systems. Her academic journey includes roles from Assistant Professor (2004) to Associate Professor (2015) before attaining Full Professor status in 2020. Education: PhD in Mathematics (2009), University ‘Ss. Cyril and Methodius’, Skopje MSc in Mathematics (2004), University ‘Ss. Cyril and Methodius’, Skopje BSc in Mathematics (1999), University ‘Ss. Cyril and Methodius’, Skopje Research focuses on Fractal Geometry, Dynamical Systems, and Educational Mathematics, with contributions to software applications for fractal modeling and interdisciplinary STEM education. Recent work addresses medical imaging challenges, pandemic-era online teaching, and analog circuit design. Her articles reflect multidisciplinary engagement: combining fractal analysis with medical diagnostics (e.g., melanoma detection), developing educational tools for 3D fractals, and analyzing pandemic-era pedagogical innovations. She also contributes to electrical engineering through low-power amplifier designs and fault-tolerant systems. Professional roles include Membership in the American Mathematical Society (AMS), Macedonian Mathematical Society, and leadership in CEEPUS networks (e.g., Active Methods in Teaching Mathematics). She serves as National Contact Point for SEFI’s Mathematics Working Group and Editor of the journal Numerus. Her administrative leadership includes coordinating national STEM education initiatives and managing interdisciplinary academic programs. She has pioneered software tools for fractal visualization and contributed to defense technology via IR imaging research.

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Ginovska Margaritaمشاهده پروفایل

دانشیار

University of SkopjeMacedonia

Margarita Ginovska is an Associate Professor at the Faculty of Electrical Engineering, University Sts. Cyril and Methodius, Skopje. She holds a PhD (2002), MSc (1997), and BSc (1990) in Physics from the same institution. Her academic career spans over three decades, starting as a Junior Assistant (1990–1998), progressing to Assistant Professor (1998–2003), and holding her current position since 2003. Dr. Ginovska’s research focuses on radiation detection, thermoluminescence dosimetry, dielectric materials, and sustainable energy systems. Her work includes developing protocols for food irradiation control, advancing BIM adoption in construction, and exploring luminescence properties for accident dosimetry. She has contributed to international projects like TRAINEE and SEEtheSkills, addressing energy skills gaps and food safety standards. Her recent publications highlight innovations in luminescence-based dosimetry for radioactive emergencies, construction sector digitalization, and cardiorespiratory dynamics modeling. She has authored educational materials on physics and renewable energy systems, including textbooks and guides for engineers. Dr. Ginovska collaborates on projects funded by the IAEA and EU Horizon 2020 initiatives, emphasizing radiation safety, sustainable energy, and workforce development. Her research bridges fundamental physics and applied engineering, impacting public health, environmental monitoring, and technological advancement.

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Zoran Ivanovskiمشاهده پروفایل

استاد

University of SkopjeMacedonia

Professor Zoran Ivanovski is a Full Professor and Head of the Institute of Electronics at the Faculty of Electrical Engineering and Information Technologies, University Saints Cyril and Methodius in Skopje, North Macedonia. He has held this position since 2016, advancing from Assistant Professor (2006–2011) to Associate Professor (2011–2016). His academic journey includes a Ph.D. in Electronics (2006), M.Sc. in Electronics (2000), and B.Sc. in IT and Automation (1990), all from the same university. His research focuses on image processing , speech recognition , medical imaging , and machine learning applications . Notable projects include real-time traffic analysis systems, automated media transcription, and quality control for medical imaging. He leads initiatives such as the Road Tax Payment Control System (funded by EBRD) and systems for object recognition using LIDAR and RGB-D data. Recent publications span hybrid CNN-DSP algorithms, real-time vehicle detection, and medical imaging advancements. His work emphasizes practical applications in healthcare, transportation, and assistive technologies.

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Branislav Gerazovمشاهده پروفایل

استاد

University of SkopjeMacedonia

Branislav Gerazov is a Professor at the Faculty of Electrical Engineering and Information Technologies (FEIT), Ss. Cyril and Methodius University of Skopje. He holds a PhD in Technical Sciences from the same university and has extensive experience in academic and industry roles. His primary research interests include speech technology (synthesis, recognition, and prosody modeling), biomedical signal processing, and applications of machine learning/deep learning in audio and biomedical domains. He has led and contributed to 7 international and 4 national research projects, including the EU-funded ProsoDeep project on prosody modeling and the Erasmus+ VALENCE initiative advancing machine learning in vocational education. His work has been published in leading journals like IEEE TASLP and conferences such as Interspeech. Gerazov has also co-authored a patent on speech processing and developed open-source tools like ProsoBeast for prosody annotation and PySFC for prosody analysis. As a mentor, he has advised 6 Master students and over 30 Bachelor students, leading teams to win international competitions like the IEEE Signal Processing Cup 2023. He has organized numerous academic events, including serving as Technical Program Chair for IWSSIP 2023 and co-leading the COST Action a-STEP working group. Gerazov's industry collaborations include roles as CTO at ListenUp Technologies (Israel) and ASR consultant for Speech AI (Macedonia). His technical expertise spans Python, PyTorch, signal processing libraries, and tools for data analysis and visualization.

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Hristov Blagojمشاهده پروفایل

استاد

University of SkopjeMacedonia

Hristov Blagoj is a Professor at the Faculty of Electrical Engineering and Information Technologies (FEIT), Ss. Cyril and Methodius University in Skopje. His research focuses on interdisciplinary applications in biomedical engineering, control systems, and robotics, with a strong emphasis on integrating machine learning and fuzzy logic into practical engineering solutions. He specializes in EMG signal processing for prosthetic control, robotic arm dynamics, and low-cost 3D-printed prosthetic design. Key research interests include: (1) biomedical signal processing for human motion analysis, (2) advanced control strategies for robotic systems, and (3) development of cost-effective bionic devices. His work bridges theoretical control systems with real-world applications in healthcare and automation. Recent publications emphasize innovations in: EMG-based robotic prosthetics, fuzzy logic-driven path planning algorithms for robotic arms, and decentralized control systems for interconnected mechanical systems. His 2023 paper on 3D-printed forearm prostheses highlights practical solutions for affordable assistive technologies. No scientific awards or grants are explicitly mentioned in the provided texts. His email is hristovb@feit.ukim.edu.mk .

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Kacarska Marijaمشاهده پروفایل

استادیار

University of SkopjeMacedonia

Kacarska Marija is an Assistant Professor at the Faculty of Electrical Engineering, University Ss Cyril and Methodius in Skopje, Macedonia. She holds a PhD (1998), MSc (1988), and BSc (1978) in Electrical Engineering from the same institution. Her career spans over four decades, including roles as a Teaching Assistant (1978–2001) and Assistant Professor since 2001. Her research focuses on electrical engineering applications, including renewable energy systems, power systems analysis, electromagnetic compatibility, and smart grid technologies. She has contributed to studies on photovoltaic integration, battery management, and electromagnetic field effects on humans. Her work emphasizes energy storage solutions, grounding systems for renewable installations, and wireless energy management platforms. Notable projects include the PV-ESTIA initiative for building energy storage and the development of systems to monitor low-frequency magnetic fields. Her expertise also extends to computational methods for electrical impedance tomography and contingency analysis in power systems. Her publications reflect a multidisciplinary approach, bridging electrical engineering with environmental sustainability and medical applications. She has pioneered VR-based systems for visualizing electromagnetic influences on humans, particularly near high-voltage lines and in cellular telecommunications. Her contributions aim to enhance energy efficiency, grid stability, and public health through advanced engineering solutions.

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Bojana Koteskaمشاهده پروفایل

دانشیار

University of SkopjeMacedonia

Bojana Koteska is an Associate Professor at the Faculty of Information Sciences and Computer Engineering (FINKI), University "Sts. Cyril and Methodius", where she teaches undergraduate and master courses such as Algorithms and Data Structures, Software Quality and Testing, and High-Performance Computing. She graduated from FINKI in 2011 as the top student in her generation and earned her Ph.D. in 2018 under Prof. Anastas Mishev. Education: Ph.D. in Software Engineering (FINKI, 2018); Master of Information Sciences (FINKI, 2012); BSc in Software Engineering (FINKI, 2011) Her research focuses on software quality , biomedical signal processing , biosensors , and machine learning . She has contributed to over 80 scientific papers in journals and conferences and co-authored two books. Her work spans 15 international and 20 domestic research projects, with three coordinated by her. Scientific Awards: Golden Coin (University "Sts. Cyril and Methodius"), Golden Ring (Organization of Engineers of Macedonia) Bojana has served as a demonstrator (2010–2011), assistant doctoral student (2017), assistant professor (2018), and associate professor (2023) at FINKI. She has held office hours online and in-person (M2 classroom) for student consultations.

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