Error Processing Professors and Supervisors in Cyprus

Aykut HocanınView profile

Professor

Eastern Mediterranean UniversityCyprus

Prof. Dr. Aykut Hocanın is a Professor in the Electrical and Electronic Engineering Department at Eastern Mediterranean University, Faculty of Engineering, in Gazimağusa, Northern Cyprus. He has held various academic and administrative positions at the university since 2000, including Assistant Professor (2000), Associate Professor (2006), Professor (2012), Vice Chairman (2003-2007), Chairman (2007-2014), Dean of the Faculty of Engineering (2014-2020), and Rector of Eastern Mediterranean University (2020-2023). His educational background includes a Ph.D. in Electrical Engineering from Boğaziçi University (1994-2000), an M.Eng. in Electrical Engineering from Texas A&M University (1992-1993), and a B.S.E.E. in Electrical and Computer Engineering from Rice University (1988-1992). Prof. Hocanın's research interests span a wide range of topics in signal processing and communications. His work primarily focuses on adaptive filtering algorithms, wireless communication systems, and signal processing techniques. He has made significant contributions to the development of recursive inverse adaptive filtering algorithms, sparse system identification, and applications in echo cancellation and interference suppression. His research bridges theoretical developments with practical implementations in communication systems. Analysis of his recent publications reveals a strong focus on adaptive signal processing techniques, particularly recursive inverse adaptive filtering algorithms and their applications. His work extends to two-dimensional signal processing, impulsive noise environments, and MIMO systems. The research shows a consistent progression from fundamental algorithm development to practical applications in communication systems. His scientific achievements have been recognized through various scholarships and honors: Fahir İlkel Ph.D Scholarship, Boğaziçi University President's Honor List, Rice University CASP Scholarship from AMIDEAST He is an active member of the scientific community, serving as a reviewer for numerous prestigious journals including IEEE Transactions on Signal Processing and IEEE Transactions on Communications. Prof. Hocanın has supervised numerous graduate students, with many of his publications co-authored with PhD and Master's candidates. He has led research projects, including a TRNC Ministry of Education project on "Adaptive Filtering for Interference Cancellation." His service to the academic community extends to conference organization roles, including Technical Program Chairman for SİU 2013 and Conference co-chairman for ICSCCW 2009. He maintains active professional affiliations as a Senior Member of IEEE (with memberships in Communications Society, Signal Processing Society, and Vehicular Technology Society) and a Senior Member of ACM, demonstrating his standing in the international research community.

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Mehmet BodurView profile

Associate Professor

Eastern Mediterranean UniversityCyprus

Assoc. Prof. Dr. Mehmet Bodur is a faculty member in the Computer Engineering Department at Eastern Mediterranean University . His research focuses on Data Mining, Robotics, Computational Intelligence, and Control Systems. He holds a Ph.D. in Electrical and Electronics Engineering from Middle East Technical University (1991) and has been affiliated with IEEE and ACM as a Senior Member since 2010 and 2020, respectively. His teaching interests include Embedded Systems, Robotics, and Artificial Intelligence. Recent research highlights include satellite image-based obstacle recognition for agricultural vehicles (2015–2016), fuzzy logic modeling (2006–2009), and autonomous vehicle control systems (2010–2012). He has contributed to over 20 publications spanning robotics, control systems, and data analysis. Prof. Bodur has supervised numerous theses at the graduate level and actively participates in academic committees and editorial roles. His work bridges theory and practice, with applications in smart home systems, precision agriculture, and mobile robotics.

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Mohsen SooriView profile

Assistant Professor

International Final UniversityCyprus

Dr. Mohsen Soori is an Assistant Professor in the Department of Mechanical Engineering at the Faculty of Engineering, Eastern Mediterranean University. His research focuses on integrating artificial intelligence (AI), machine learning, and deep learning into advanced manufacturing processes, particularly in Industry 4.0 applications such as smart quality control, human-robot collaboration, and additive manufacturing optimization. He also specializes in CNC machining optimization, virtual machining systems, and error compensation in precision manufacturing. Dr. Soori holds a Ph.D. in Mechanical Engineering from Eastern Mediterranean University (2022), an M.Sc. from Amirkabir University of Technology (2012), and a B.Sc. from Shahid Rajaee Teacher Training University (2007). His academic work bridges theoretical advancements in numerical methods (e.g., variational iteration, finite element analysis) with practical industrial challenges in machining, robotics, and sustainability. His recent publications (2023–2025) emphasize AI-driven solutions for Industry 4.0, including blockchain-enabled supply chains, smart manufacturing systems, and virtual machining analytics. He has also contributed to studies on tool wear prediction, thermal management in titanium alloy machining, and sustainable CNC operations. Administrative roles and grants are not detailed in the provided text, but his involvement in academic leadership and collaborative research projects is implied through his active publication record and institutional affiliation.

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Gulshen SakhatovaView profile

Assistant Professor

University of CyprusCyprus

Gulshen Sakhatova serves as Assistant Professor in the Department of Turkish and Middle Eastern Studies at the University of Cyprus, with prior academic appointments spanning eight institutions across Germany, Greece, and Turkmenistan. Her international career includes professorships at Georg-August University Göttingen (2017-2020), Aristotle University Thessaloniki (2015), and multiple German universities, alongside repeated visiting positions at the University of Cyprus since 2007. Her academic foundation includes an MA in Philology (German, English and World Literature) from Magtymguly Turkmen State University and a PhD in Turkology/Linguistics from Friedrich Wilhelm University Bonn (2004). This dual expertise enables sophisticated cross-linguistic analysis between Germanic and Turkic language families. Sakhatova's research centers on the structural intricacies of Turkic languages, particularly verb systems and modality phenomena in Turkish, Turkmen, and Cypriot Turkish variants. She investigates linguistic contact effects in multilingual environments, Turkmen's status as a 'degraded' Turkic language, and pedagogical challenges in teaching Turkish to Greek speakers. Her work bridges theoretical linguistics with practical language acquisition frameworks, emphasizing semantic-pragmatic interfaces and historical development pathways. Current research demonstrates strong productivity with 15+ publications since 2021, primarily in specialized linguistics journals and the Societas Uralo-Altaica series. Her output reveals consistent focus on modality systems (35%), dialectology (25%), and language pedagogy (20%), with growing emphasis on Greek-Turkish language contact phenomena through her two active research projects. She currently leads two major funded initiatives: 'A Manual for Language Instructors of Turkish to Greek L1 Learners' (2023-2025) and 'Teaching/Learning Turkish as SL/FL in Greek language classrooms' (2024-2025). These projects address critical gaps in pedagogical resources for Greek-speaking Turkish learners, examining interference patterns and developing context-specific teaching methodologies. Her international collaborations span institutions in Germany, Greece, Russia, and Turkey through co-authored publications and scholarly networks. Students benefit from engagement with active fieldwork projects, corpus development for endangered Turkic varieties, and participation in international academic exchanges. Her supervision emphasizes empirical research in Turkic linguistics with applications to language preservation and pedagogy, particularly relevant for scholars interested in Mediterranean language contact zones.

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Annita AchilleosView profile

Assistant Professor

University of NicosiaCyprus

Annita Achilleos is an Assistant Professor in Developmental Biology and Developmental Genetics at the University of Nicosia Medical School, University of Nicosia. Her research focuses on neural crest cells and their role in craniofacial skeleton development, particularly using mouse and zebrafish models. She has discovered novel roles for transcription factors like Ronin (Thap11) in craniofacial development and ribosome biogenesis. Education: BSc (Honors) in Biology, University of Massachusetts, Amherst MSc in Cell Biology (Fulbright Scholar), New York University School of Medicine PhD in Developmental Genetics, New York University School of Medicine Research Interests: Dr. Achilleos investigates the molecular mechanisms governing neural crest cell specification, migration, and differentiation. Her work explores how transcriptional regulators like NR6A1 and Thap11 impact craniofacial morphology and ribosomal function. She employs genetic knockout models, histology, and molecular biology to dissect pathways linked to congenital disorders such as Treacher Collins syndrome and cobalamin deficiencies. Article Trends: Her publications emphasize genetic and cellular mechanisms underlying craniofacial abnormalities, with a focus on ribosomal dysfunction (e.g., Polr1c/d mutations in Treacher Collins syndrome) and transcription factor roles in neural crest development. Recent work highlights dual metabolic and structural defects caused by Thap11 deficiencies. Grants/Advising: No specific grants or advisees are listed in the provided text. Labs/Teams: Her research integrates with developmental biology labs at the University of Nicosia Medical School, focusing on translational studies linking basic embryology to clinical craniofacial disorders.

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ERHAN İNCEView profile

Professor

Eastern Mediterranean UniversityCyprus

Prof. Erhan İnce is a faculty member in the Department of Electrical and Electronic Engineering at Eastern Mediterranean University (EMU), where he has served since 1998. He holds a PhD in Communications from the University of Bradford (1997) and MS/BS degrees in Electrical and Electronic Engineering from the University of Bucknell (1992, 1990). His research focuses on mobile communications, channel coding, OFDM/OFDMA, statistical signal processing, and facial recognition. He has supervised numerous PhD and MS students, including Ramin Bakhshi, Syed Amjad Ali, and Waseem Qassab Bash. Key projects include 'Monitoring KKTCELL's Base Stations' (2018-2019) and 'Background Subtraction and Lane Occupancy Analysis' (2011). He received an award at the 1998 Symposium on Communication Systems & Digital Signal Processing. His work spans peer-reviewed journals (IEEE Access, Digital Signal Processing) and books on video surveillance. He actively contributes to IEEE and other academic communities.

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Erhan A. İnceView profile

Professor

Eastern Mediterranean UniversityCyprus

Prof. Dr. Erhan A. İnce is a Professor at the Department of Electrical & Electronic Engineering, Eastern Mediterranean University (EMU). He holds a Ph.D. in Communications from Bradford University (1997) and has been at EMU since 1998, progressing through academic ranks from Assistant Professor (1998–2006) to Full Professor (2016–present). His research focuses on mobile communications, channel coding, OFDM techniques, and video/signal processing. He has supervised over 25 master's and doctoral students, including notable works on turbo codes, interference alignment, and image processing. Education: Bachelor's in Electrical Engineering, Bucknell University (1990) M.S. in Electrical Engineering, Bucknell University (1992) Ph.D. in Communications, Bradford University (1997) Research Interests: His work spans communications theory, signal processing, and multimedia applications. Key areas include turbo codes over fading channels, OFDM-based systems, facial recognition, and traffic surveillance using video analytics. Publications: Over 30 journal and conference papers in IEEE Transactions, Elsevier journals, and international conferences like CSDSP and EUSIPCO. Recent topics include blind interference alignment in cellular networks and tensor-based signal processing. Awards: Best Poster Award at CSDSP 1998. Service: Served as a reviewer for IEEE journals and conferences, and held administrative roles in EMU’s Faculty of Engineering, including Professor Representative (2018–present).

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Mustafa Kemal UyguroğluView profile

Professor

Eastern Mediterranean UniversityCyprus

Prof. Dr. MUSTAFA KEMAL UYGUROĞLU is a Professor of Electrical and Electronic Engineering at Eastern Mediterranean University (EMU), affiliated with the Faculty of Engineering. He has held academic positions since 1987, progressing from Lecturer to Professor by 2015. His research focuses on robotics, mechatronics, mathematical modeling, computer vision, and kinematic analysis of mechanical systems. Education: B.S. in Electrical Engineering, EMU (1981–1985) M.S. in Robotics, EMU (1989–1991) Ph.D. in Robotics, EMU (1992–1998) Research Interests: Prof. Uyguroğlu’s work spans robotics, including mobile robotics, autonomous systems, and trajectory optimization. He has pioneered research in kinematic analysis of geared and tendon-driven mechanisms, fire detection in video sequences, and face-tracking algorithms. His recent projects involve anomaly detection using deep learning and conformal prediction, as well as integration of multi-platform robotics simulations. Publications & Impact: His publications reflect expertise in robotics systems, video surveillance, and control engineering. Notable contributions include studies on omnidirectional mobile robots, fire detection algorithms, and graph-theoretic approaches to mechanism analysis. His work bridges theoretical modeling and practical applications like emergency monitoring systems. Service & Leadership: Vice Rector (2009–2014) Senate Member (2017–present) Founded EMU’s Robotics Lab Developed curricula for Electrical Engineering, Information Engineering, and Mechatronics programs Advising & Mentorship: Supervised 8 graduate theses (4 Ph.D., 4 M.S.) and actively participates in thesis committees. His students have specialized in topics like six-legged robot kinematics and equivalent robotic manipulators. Labs & Infrastructure: Leads the Robotics Lab at EMU, focusing on hardware-software integration for autonomous systems and simulation tools (CoppeliaSim, MATLAB).

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Mamata ParhiView profile

Associate Professor

Mesoyios CollegeCyprus

Mamata Parhi is a Reader (Associate Professor) in Economics and Finance at the Roehampton Business School, Faculty of Business and Law, University of Roehampton. She is an active researcher with 64 publications that have garnered 6,427 reads and 510 citations. Her academic career focuses on the intersection of economics, finance, and innovation studies. Dr. Parhi specializes in Economics of Innovation and Technical Change with expertise spanning several key areas: Economics of Innovation and Technical Change Long memory econometrics Real Estate Economics Applied Macroeconomics Cryptocurrency markets Her current research projects include Cryptocurrency Research, Macroeconomic-Real Estate Price Interdependence, Complexity, Network Evolution and Social Ties, and Corruption and Firm Productivity. Analysis of her recent publications (2020-2025) reveals a strong focus on applying advanced econometric techniques to understand complex economic phenomena, particularly in housing markets, cryptocurrency, and the impact of policy uncertainty. Her work frequently employs fractional cointegration, long memory processes, and distributional analysis frameworks. Dr. Parhi has received recognition through 510 citations of her work, reflecting her contributions to multiple fields of economics and finance. Her research has practical implications for policymakers, financial institutions, and businesses navigating complex economic environments. She actively collaborates with researchers across institutions, with Tapas Mishra appearing as a frequent co-author. Her work spans multiple disciplinary boundaries, connecting theoretical economics with practical applications in finance, innovation, and policy analysis. Dr. Parhi's research demonstrates a consistent pattern of investigating the interdependencies between economic variables using sophisticated quantitative methods.

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Petr HájekView profile

Professor

Mesoyios CollegeCyprus

Petr Hájek is a Professor at the University of Pardubice in the Institute of System Engineering and Informatics, Czech Republic. With 236 publications, 71,463 reads, and 5,595 citations, he has established himself as a prominent researcher in computational intelligence and machine learning applications. His research interests span multiple domains of computational intelligence, with particular focus on: Machine learning applications in financial forecasting and risk management Neural networks and fuzzy logic systems for time series prediction Sentiment analysis for financial markets and social media Fraud detection and fake news identification systems Cryptocurrency price forecasting and market analysis ESG analytics and sustainable finance applications Analysis of his recent publications (2023-2025) reveals an expanding research scope that increasingly integrates sustainability considerations with financial technology. His work demonstrates sophisticated methodological approaches, frequently employing hybrid neural network architectures, ensemble learning techniques, and advanced text mining methods. Professor Hájek's research shows strong international collaboration patterns with scholars across Europe, Asia, and North America. His scholarly contributions have focused on developing practical AI solutions for complex financial problems, with particular attention to handling class imbalance issues in financial datasets and creating interpretable models for financial decision-making. Professor Hájek maintains an active research program with consistent publication output across top venues in computational intelligence and financial technology. His work bridges theoretical advances in machine learning with practical applications in finance, demonstrating both academic rigor and real-world relevance.

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