Dr. Mahdi Barhoush is a Postdoc researcher and teaching assistant at RWTH Aachen University since 2023. His work focuses on applying machine learning to medical domains, particularly in distributed learning systems and signal processing. PhD (2023): "Using machine learning in the medical field: speaker signal processing and distributed learning systems" MSc (2015): Communication Engineering, RWTH Aachen University BSc (2013): Telecommunication Engineering, Arab American University His research spans medical machine learning, edge computing, and IoT optimization, with recent publications on federated learning, split learning architectures, and privacy-preserving ECG classification systems. He contributes to advancements in energy-efficient AI for resource-constrained environments and speaker localization in hospitals. Scientific achievements include: Best Paper Award at RADAR 2024 He collaborates with the INDA Institute in Aachen, contributing to active research projects in distributed learning, 6G technologies, and biomedical AI applications.
Nadhir Ben Rached serves as a Lecturer at the School of Mathematics, University of Leeds, specializing in stochastic simulation methodologies with applications spanning wireless communications and stochastic differential equations. His research focuses on developing advanced importance sampling techniques for rare-event estimation, particularly in wireless network outage probability analysis and McKean-Vlasov stochastic differential equations. Key contributions include hazard rate twisting approaches, state-dependent sampling methods, and stochastic optimal control frameworks for efficient simulation of complex systems like biochemical reaction networks and green cellular networks under uncertainty. Recent publications (2023-2025) reveal a concentrated research trajectory toward integrating optimal control theory with Monte Carlo methods for rare-event probability estimation, alongside significant work on renewable energy integration in wireless networks. This evolution demonstrates increasing sophistication in handling high-dimensional stochastic systems through multi-level and multi-index computational frameworks. He actively supervises graduate research, currently advising PhD candidate Shyam Mohan Subbiah Pillai on numerical methods for stochastic optimal control applications in rare-event estimation and wireless networks, following successful supervision of the candidate's Master's thesis on McKean-Vlasov equation simulation techniques.
Zühal Aslan Akyol is a Lecturer at the Department of Computer Technologies within Cide Rifat Ilgaz Vocational School at Kastamonu University, Turkey . She has been serving full-time since 2013 and was promoted to Department Head in 2025. Her academic journey includes a PhD in Information Systems (2018-2023) and a Master's in Electronics and Computer Education (2010-2013) from Gazi University , and a BSc in Computer Engineering (2017-2021) from Kastamonu University . PhD: Gazi University, Informatics Institute, Information Systems (2018-2023) Master's: Gazi University, Informatics Institute, Electronics and Computer Education (2010-2013) BSc: Kastamonu University, Faculty of Engineering and Architecture, Department of Computer Engineering (2017-2021) Her research focuses on Computer Science and Optical Engineering , particularly in fiber optic systems , database management , and programming education . Her publications emphasize data mining applications in optical amplifiers, remote laboratory design , and software tools for engineering education . She has contributed to projects like the Real-Time Remote Accessible Fiber Optic Systems Laboratory and the Bilgisayar Donanımı Mobil Destekli Eğitim Simülatörü (BDMES) . While she has co-authored articles on topics like noise figure enhancement in EDFA and temperature-dependent gain analysis , no explicit scientific awards are listed in the provided data.
Dr. Evangelia Kopanaki is an Associate Professor at the Department of Business Organization and Administration within the School of Economics, Business and International Studies at the University of Piraeus, Greece. With a strong academic background in Mathematics, Informatics, and Information Systems, she has established herself as a prominent researcher and educator in the fields of digital transformation, e-business, and supply chain management. Dr. Kopanaki earned her BA in Mathematics and MSc in Informatics from the National and Kapodistrian University of Athens, followed by a PhD in Information Systems from the London School of Economics and Political Science. Prior to her current position, she worked as a researcher at the Department of Informatics and Telecommunications of the National and Kapodistrian University of Athens for over three years, participating in numerous Greek and European research projects. She also has industry experience as an analyst-programmer in the private sector. Her research interests focus on the intersection of information systems and business operations, particularly in the areas of e-business, supply chain management, inter-organizational information systems, Internet technologies, and Business Agility. Dr. Kopanaki has published extensively in international conferences and journals, with a recent emphasis on digital transformation across various sectors including retail, banking, tourism, and transportation. Her work often explores how digital technologies can enhance sustainability, operational efficiency, and strategic decision-making in complex business environments. A significant portion of Dr. Kopanaki's recent research (2022-2025) examines the role of digital transformation in creating sustainable business practices, with particular attention to supply chain management, tourism, and financial services. Her publications demonstrate a strong focus on practical applications of emerging technologies like blockchain, AI, and big data analytics to solve real-world business challenges. The research shows a clear trajectory toward integrating sustainability considerations with digital innovation across multiple industry sectors. Co-author of two Academic Books in the fields of e-business and Internet technologies Extensive publication record in international conferences and journals Dr. Kopanaki has taught a variety of undergraduate and postgraduate courses at the University of Piraeus, including Operations Research, Management Information Systems, E-Commerce, and E-Commerce Programming & Design. She has also shared her expertise at the National and Kapodistrian University of Athens and the Singapore Institute of Management through the University of London International Programmes. Her teaching philosophy emphasizes the practical application of theoretical concepts, preparing students for the digital challenges of modern business environments. Through her work with the University of Piraeus, Dr. Kopanaki contributes to several research laboratories and initiatives focused on digital transformation, sustainable business practices, and innovative information systems. Her research projects often involve collaboration with industry partners and international academic institutions, creating valuable bridges between theoretical knowledge and practical business applications.
Marina Marjanovic is a faculty member at Singidunum University in Belgrade, Serbia, affiliated with the Faculty of Informatics and Computing. She maintains an active research profile with numerous publications spanning machine learning, computer vision, and signal processing applications. Her work demonstrates strong interdisciplinary connections between theoretical AI development and practical implementations in healthcare, security, and digital government services. Dr. Marjanovic earned her Doctoral degree in Signals and Systems from Universidad Politecnica de Madrid in 2007, following a Master's degree in the same field from the same institution in 2005. Her foundational education includes basic studies in Telecommunications at the Faculty of Electrical Engineering in Belgrade, and secondary education at the third Belgrade high school with a focus on natural sciences. This strong technical background has enabled her transition from traditional signal processing to contemporary AI research. Her research interests center around machine learning and computer vision, with significant contributions to emotion recognition, sign language processing, and explainable AI. She has demonstrated particular expertise in developing robust AI models that address real-world challenges such as demographic bias in age estimation systems, vulnerability to adversarial attacks in deep learning models, and accurate medical diagnostics through imaging analysis. Her recent work shows increasing focus on healthcare applications, security implications of AI systems, and making AI more transparent and interpretable. Analysis of her publication trajectory reveals a clear evolution from signal processing foundations toward contemporary AI applications. Her recent work (2022-2024) shows strong emphasis on healthcare AI, security applications, and explainability, often combining traditional machine learning approaches with novel optimization techniques. She frequently collaborates with international researchers across multiple institutions, demonstrating the global reach of her work. Dr. Marjanovic has established herself as a productive researcher with consistent publication output across reputable journals and conferences including IEEE transactions, Springer publications, and specialized AI conferences. Her collaborative approach is evident through her extensive co-authorship network spanning multiple Serbian and international institutions. She actively contributes to the academic community through conference organization (including Sinteza conferences) and participation in research projects at Singidunum University's research institutes. Her work bridges theoretical advancements with practical implementations across multiple domains, demonstrating versatility and impact across the AI research landscape.
Jens Kirchner is a Professor of Business Administration and (International) Marketing at the School of Business Administration at Hof University of Applied Sciences. He serves as Dean of the Business Department and Head of the Institute for Economic and Organizational Research (iwo). His academic career combines extensive industry experience in marketing, sales, and purchasing with academic leadership and consulting expertise. Teaching: Strategic and International Marketing, Marketing Controlling, Distribution Logistics, International Brand Management Research: Customer Management, Strategic Management Kirchner’s publications focus on customer value optimization, CRM, direct marketing, and regulatory frameworks in telecommunications. His work spans disciplines like Marketing, Business Administration, and Economics, with subfields including customer satisfaction, digital marketing, and competition policy. He also actively engages in management consulting and industry training programs.
Lorenzo Vangelista serves as Associate Professor of Telecommunications at the Department of Information Engineering, University of Padua, Italy, a position held since 2006. He teaches core courses including Internet of Things and Smart Cities, Telecommunications, and Project Management. His academic leadership includes chairing the Information Engineering Degree curriculum from 2010 to 2014. His research expertise spans Internet of Things , Smart Cities , 5G systems (with focus on machine-to-machine traffic), DVB systems , and OFDM-based communications . He is a pioneer in LoRa and LPWAN technologies, contributing to standardization bodies such as IEEE 802.11, 3GPP, ETSI, and the LoRa Alliance. His work integrates statistical signal processing , embedded systems design , and protocol development for next-generation wireless networks. With over 80 publications, his recent work explores LoRaWAN enhancements for satellite IoT, vehicular communications, and interstellar optical systems. Key innovations include golden modulation for massive IoT and machine learning applications for network optimization. His research bridges theoretical advances with real-world deployment, as seen in field tests for vehicle-to-roadside communication and underwater acoustic modems. Professor Vangelista has supervised nine PhD students (including a dual PhD with Supèlec, Paris) and numerous MSc theses. He led European projects PACIF and SWAP (a Marie Curie best practice) and regional initiatives. His entrepreneurial endeavors include founding Patavina Technologies (acquired by A2ASmartCity in 2017) and Wireless and More, developing IoT solutions like the LoRa Suite. He maintains strong industry ties with Nokia Bell Labs, RAI, and Wisycom, and collaborates with international research centers including CTTC. His standardization contributions notably include co-authoring foundational DVB-T2 papers and serving as ETSI Rapporteur for LPWAN-CSS.
Anirudha Sahoo is an Associate Professor at the Department of Computer Science and Engineering, Indian Institute of Technology Bombay. His research focuses on computer networks, with emphasis on Quality of Service (QoS) in wireless networks, QoS-based routing, traffic engineering, voice routing, and wireless sensor networks.
Cédric Costa is a Professor at the Conservatoire National des Arts et Métiers (CNAM), conducting research at the CEDRIC Laboratory. With a publication record spanning over 30 years from 1992 to 2023, he has established himself as a leading researcher in combinatorial optimization and operations research. His research interests focus on combinatorial optimization , graph theory , and operations research , with significant contributions to network design, discrete tomography, and robust optimization. His work bridges theoretical foundations with practical applications, particularly in renewable energy systems and telecommunications networks. Analysis of his publication trends shows a consistent focus on Steiner tree problems, matching theory, and robust network design, with increasing emphasis on renewable energy applications since 2015. His recent work (2020-2023) demonstrates expertise in wind farm optimization and robust network design under uncertainty. Prix Orange de l'Innovation 2012 (catégorie Réseau) for FTTH network deployment research Professor Costa has supervised numerous researchers including Poirion P-L, Bentz C, Ridremont T, Hertz A, Cotté G, and Picouleau C, as evidenced by their frequent co-authorship on publications. His research has been supported by projects related to wind farm optimization, optical network design, and robust energy systems. He has been actively involved in the ROADEF (French Operations Research Society) community, presenting regularly at their conferences.
Nada Mimouni is a Researcher at Conservatoire National des Arts et Métiers, affiliated with the Cédric Laboratory's Secure Systems and Data Mining teams. She has authored 15+ peer-reviewed publications across 2012–2025, focusing on knowledge graphs, legal informatics, and cybersecurity. Her Contextual cybersecurity Semantic knowledge representation Legal information systems Ontology engineering Medical system protection Policy analysis research spans interdisciplinary applications including EU regulatory frameworks and healthcare infrastructure security. Recent publications demonstrate expertise in contextual knowledge graphs, analogical reasoning, and cyber-physical incident management. Notable recognition includes the Most Inspiring Managerial Implications Award (2019).
Dariusz Król is a Professor at the Department of Applied Computer Science, Faculty of Computer Science and Telecommunications at Wrocław University of Science and Technology. He serves as Vice-dean for general matters and Head of the Knowledge Engineering Lab. With a strong background in technical and engineering sciences, his academic career spans over two decades of teaching and research in computer science and telecommunications. Professor Król's educational background, though not explicitly detailed in the provided texts, is evidenced by his habilitation (dr hab. inż.) and professorship at one of Poland's leading technical universities. His extensive experience is reflected in his long-standing teaching career and research leadership. Professor Król's research interests focus on knowledge engineering, multi-agent systems, data quality, and intelligent production. His scholarly output shows a progression from foundational work in multi-agent systems to contemporary applications of deep learning in industrial contexts. Recent publications demonstrate increasing emphasis on practical applications of data quality assessment in production environments, with strong connections to Industry 4.0 and intelligent manufacturing concepts. His work consistently bridges theoretical foundations with real-world industrial applications where data quality and intelligent systems play crucial roles. His scholarly impact is evidenced by his edited books ranking among Springer's top downloaded publications, with two titles placing in the top 25% most downloaded books in 2018. His editorial leadership extends to serving as editor for Computational Intelligence (Wiley-Blackwell) since 2008 and International Journal of Distributed Systems and Technologies since 2010. Book 'Advanced Topics in Intelligent Information and Database Systems' among top 25% most downloaded Springer books in 2018 (31,481 downloads) Book 'Recent Developments in Intelligent Information and Database Systems' among top 25% most downloaded Springer books in 2018 (24,896 downloads) Book 'Propagation Phenomena in Real World Networks' among top 50% most downloaded Springer books in 2015-2016 Professor Król has supervised over 50 Master's and Engineering theses across diverse topics in computer science. He teaches courses ranging from foundational programming to advanced topics in knowledge engineering, maintaining an active teaching schedule for over 18 academic years. He leads the KNJavaTech scientific circle, which has provided research opportunities for students since 2005. His international collaborations include invited seminars at prestigious institutions worldwide, demonstrating global recognition of his expertise in knowledge engineering and intelligent systems.
Assoc. Prof. Dr. Yüksel Yurtay is an active faculty member at Sakarya University's Faculty of Computer and Information Sciences, Department of Data Science and Analytics. With a career spanning over three decades at the university since 1993, he has established himself as a prominent researcher and educator in the fields of data science, artificial intelligence, and business analytics. Education: Doctorate (2011-2020): Sakarya University, Institute of Business Administration/Production Management and Marketing, Thesis: "An empirical study on the impact of the dashboard on decision processes in the context of supply chain management" Master's (1996-1998): Sakarya University, Institute of Social Sciences/Production Management and Marketing, Thesis: "Activity based costing system and an application in electro-mechanical industry" Bachelor's (1987-1991): Anadolu University, Faculty of Arts and Sciences/Mathematics Dr. Yurtay's research focuses on the intersection of data science and business applications, with particular emphasis on dashboard systems, key performance indicators, and supply chain management. His work bridges theoretical computer science with practical business applications, developing innovative solutions for performance monitoring, decision support, and process optimization. His research portfolio demonstrates consistent productivity with publications spanning from 2018 through 2025, showing no signs of slowing down. Analysis of Dr. Yurtay's recent publications (2018-2025) reveals several key research trajectories: a strong focus on dashboard and KPI systems for business decision-making, growing interest in AI applications for emotion recognition (particularly in call center contexts), development of novel metaheuristic algorithms for optimization problems, and application of computer vision techniques for specialized detection tasks. His work consistently combines theoretical algorithm development with practical business applications. Dr. Yurtay has successfully secured research funding from prestigious sources including TÜBİTAK (project 1505) and industry partnerships with companies like Turkcell Global Bilgi. His current projects focus on real-time emotion recognition using deep learning and business process optimization. As an educator, Dr. Yurtay teaches core courses in numerical analysis, software engineering, computer engineering design, and data science. He has supervised graduate theses, including Akın YAŞAR's work on real estate photo quality evaluation using deep learning. His teaching portfolio reflects his expertise across both theoretical computer science and applied data analytics.
Thomas Kudraß serves as Professor for Database Systems at the Faculty of Computer Science, Mathematics and Natural Sciences (IMN) at Leipzig University of Applied Sciences (HTWK Leipzig). With over 25 years of academic and industry experience, he teaches courses including Database Basics, Database Application Programming, Data Warehousing, and Big Data Technologies. His leadership roles include Internship Coordinator for Computer Science since 2001, Member of the Academic Senate since 2011, and Contact person for the IMN faculty alumni association since 2005. Dr. Kudraß earned his Dipl.-Ing. in Computer Science from Technical University of Dresden (1985-1990) and completed his doctorate at Darmstadt University of Technology (1992-1997), where his dissertation received the prestigious Jos Schepens Memorial Award. Prior to academia, he worked as an Information Systems Architect at UBS AG Zurich and Database Specialist at Swiss Bank Corporation Basel. His research spans database technologies with focus on heterogeneous database integration, data quality, data privacy, and modern database concepts. Recent work explores cloud-native billing applications for 5G, NoSQL databases, and privacy-preserving record linkage techniques. His publication record shows continuous evolution from traditional database systems to contemporary challenges in big data and distributed systems. Jos Schepens Memorial Award for doctoral dissertation (1997) Active participation in German Informatics Society (GI) specialist groups Organizer of multiple database-related workshops and conferences Professor Kudraß has significantly contributed to academic governance as E-Learning Officer (2000-02), Faculty Council member (2009-12), and liaison lecturer for the German Society for Computer Science (2001-14). He has coordinated numerous student projects and served on program committees for major conferences including INFORMATIK 2017 and BTW series.
Stephen Dirk Bjørn Wolthusen is a Professor at the Norwegian University of Science and Technology (NTNU) in the Department of Information Security and Communication Technology. He is based in Gjøvik, Norway, and his work focuses on cybersecurity, critical infrastructure protection, and cyber-physical systems. His research spans network topology, smart grids, formal methods, and privacy in IoT systems, with a particular emphasis on security vulnerabilities and resilience in resource-constrained environments. His recent publications address hierarchical information overlays, adversarial pathways in smart grids, and formal methods for securing cyber-physical systems. His work frequently appears in journals and conferences such as IFIP Advances in Information and Communication Technology , Lecture Notes in Computer Science (LNCS) , and IEEE conference proceedings . Topics include adversary models, queueing networks, access control, and policy enforcement in tactical and industrial contexts.
Nuran Doğru is a Professor at Gaziantep University , affiliated with the Faculty of Engineering and the Department of Electrical and Electronics Engineering. Her research focuses on quantum dot lasers, optoelectronics, and photonics, with a particular emphasis on intensity noise analysis and short pulse generation. PhD in Electronics (Gaziantep University, 2003) MSc in Electronics (Gaziantep University, 1997) BSc in Electrical Engineering (Gaziantep University, 1994) Her research interests span quantum dot lasers , mode-locked laser dynamics , photonic devices , and noise reduction techniques . Recent work explores gain-switched laser modeling using multi-population rate equations and biomedical applications like remote blood pressure monitoring via photoplethysmography. The 15 most recent publications highlight advancements in quantum dot laser noise control, pulse generation, and biomedical device design. Key venues include Nanomaterials , IEEE Transactions on Electron Devices , and Optics and Laser Technology . She has supervised numerous graduate theses and led a TUBITAK-funded project on gain-switched quantum dot laser noise. Her international experience includes academic visits at York University (2014-2015) and a postdoctoral position at Essex University (2007).
