جست‌وجوی استاد و پژوهشگر

Mohamed Hassan- Sayedمشاهده پروفایل

دانشیار

• High-Pressure Adsorption
• CO2 Sequestration
• Unconventional Reservoirs
• +۵ مورد دیگر

Dr. Mohamed Hassan- Sayed is an Associate Professor in the Department of Chemical Engineering at the University of Southampton, serving as Founder and Director of Chemical Engineering programs. He holds a PhD in Chemical Engineering from Loughborough University and a TAFE Education Diploma. With 20 years of academic and industry experience, he specializes in high-pressure gas adsorption, CO2 sequestration, and sustainable process design using AI-driven models. His research focuses on optimizing gas storage and recovery in unconventional reservoirs, integrating MCDM frameworks for sustainability, and risk mitigation in energy systems. He has supervised over 20 PhD students and authored 95+ publications, including books like Challenges in Modelling and Simulation of Shale Gas Reservoirs . Teaching responsibilities include courses on Sustainable Reactors, Heat and Mass Transfer, and Chemical Engineering Principles at both undergraduate and postgraduate levels. He serves as External Examiner for multiple UK and African universities and holds roles such as Speaker for the World Association for Sustainable Development (2020). Key achievements include developing Energy and Petroleum programs at institutions like the American University in Cairo (ABET-accredited) and pioneering a commercial economic model for reservoir gas storage. Awards include Chartered Engineer (UK), FHEA Fellowship, and Sustainability Pioneer (2023).

Luis de la Cruz Pirisمشاهده پروفایل

استادیار

• Network Optimization
• Cybersecurity
• Intelligent Transportation Systems
• +۳ مورد دیگر

Luis de la Cruz Piris is an Assistant Professor in the Department of Telematics Engineering at Universidad de Alcalá. His research focuses on network optimization, cybersecurity, and intelligent transportation systems. He is part of the NetIS research group (Networks and Intelligent Systems). He earned his Ph.D. in 2019 with a thesis on multi-objective optimization strategies for vehicle coordination at urban intersections, supervised by Dr. Iván Marsá Maestre and Dr. Miguel Ángel López Carmona. His research interests include wireless network optimization (e.g., Wi-Fi channel assignment), IoT security frameworks, and AI-driven threat mitigation. Notable projects include the EnvAdapt-CRO-SL algorithm for dynamic channel management and CloudWall, a resilient healthcare IT infrastructure framework. Recent work explores unsupervised learning for cybersecurity, cooperative approaches to Wi-Fi performance, and distributed multi-agent systems for network resilience. His publications span topics like smart traffic light management, OAuth token configuration in IoT, and fuzzy ontology-based driver behavior analysis.

Sara Saberiمشاهده پروفایل

دانشیار

• Supply Chain Management
• Blockchain Technology
• Sustainable Development
• +۴ مورد دیگر

Sara Saberi is an Associate Professor at The Business School of Worcester Polytechnic Institute (WPI), affiliated with the Department of Industrial Engineering. She holds the Norton Assistant Professorship (2023). Her research focuses on supply chain networks, blockchain technology, and sustainable decision-making. She has received grants from NSF and EDA, emphasizing supply chain resilience during crises. Education: PhD in Business Administration (Management Science, UMass Amherst, 2016); PhD in Industrial Engineering (University Putra Malaysia, 2010); MS in Socio-Economic Systems Engineering (Isfahan University of Technology, 2006); BS in Computer Engineering (Shiraz University, 2004). Research Interests: Supply chain equilibrium modeling, blockchain adoption barriers, sustainable supply chain networks, and crisis-driven manufacturing solutions. She has published in top journals like International Journal of Production Economics and European Journal of Operational Research . Awards include NSF I-Corps Funding (2021), Sloan Research Fellowship Nomination (2020), and the INFORMS Outstanding Doctoral Student Researcher Award (2015). She advises numerous student projects, emphasizing project-based learning and industry collaboration through WPI's Digital platform.

• Control Systems
• Fuzzy Logic
• Sliding Mode Control
• +۳ مورد دیگر

Драган С. Антић је редовни професор на Катедри за Аутоматику на Факултету за електронику у Нишу, Универзитета у Нишу, Србија. Изабран је у звање професора 2005. године након што је целокупно академско образовање стекао на истом факултету. Његово образовање укључује: Дипломирао у области Аутоматика (1987) Магистрирао у области Аутоматика (1991) Докторирао у области Аутоматика (1994) Професор Антић се бави истраживањима у области управљачких система са посебним акцентом на слайдинг мод контролу, фази логику, адаптивне контролере и примену неуралних мрежа. Његов рад обухвата дизајн филтера за смањење шума, моделовање динамичких система помоћу ортогоналних функција и решавање проблема у системима са не-минималном фазом. Посебно је истакао се у развоју контролних алгоритама за анти-лок кочионе системе и адаптивне PID контролере. Са 51 радом у часописима са импакт фактором, његови најновији радови фокусирају се на интеграцију ортогоналних ендокриних неуралних мрежа у управљачке системе, што је довело до побољшаних решења у аутомобилској и индустријској аутоматизацији. Његове публикације објављене су у водећим часописима као што су IEEE/ASME Transactions on Mechatronics и Neural Networks. Ниједна специфична научна награда није наведена у пруженим текстовима. Тренутно је активан у истраживачким пројектима, учествујући у 2 национална и 8 интернационалних пројеката. Његов рад на овим пројектима наставља да развија теоријске основе и практичне примене управљачких система, посебно у домену неуралних мрежа и адаптивних техника.

• Intelligent Control
• Neural Networks
• Soft Computing
• +۵ مورد دیگر

Yeşim Öniz is an Assistant Professor in the Department of Mechatronics Engineering at Istanbul Bilgi University, Faculty of Engineering and Natural Sciences. She holds a PhD in Electrical and Electronics Engineering from Boğaziçi University and has been actively contributing to research and teaching since 2014. Academic Background: PhD, Electrical and Electronics Engineering, Boğaziçi University, 2014 MS, Electrical and Electronics Engineering, Boğaziçi University, 2007 BS, Mechatronics Engineering, Sabancı University, 2004 Her research focuses on intelligent control systems, particularly integrating neural networks, fuzzy logic, and variable structure systems for applications in robotics and automotive systems. She has made notable contributions to adaptive learning algorithms and robust control in uncertain environments. The selected publications reflect a strong trend in applying soft computing and neuro-fuzzy methodologies to real-world control problems, especially in antilock braking systems and robotic actuators. Her work emphasizes experimental validation and robustness under nonlinear and time-varying conditions. Teaching Responsibilities Include: MECA 100: Introduction to Mechatronics EEEN 201: Electrical and Electronic Circuits I EEEN 202: Electrical and Electronic Circuits II EEEN 222: Digital Systems Design She has also served as an instructor in specialized programs such as the FESTO-Boğaziçi University Mechatronics Specialist Certification Program and the FESTO Mechatronics Summer School, contributing to professional training in industrial automation.

Aous Thabit Namanمشاهده پروفایل

پژوهشگر

• Image Processing
• Video Signal Processing
• Image Communication
• +۵ مورد دیگر

Aous Thabit Naman is a Senior Research Associate in Signal Processing at the School of Electrical Engineering and Telecommunications, University of New South Wales (UNSW), Sydney. He holds a B.Sc. in Electronics and Telecommunication Engineering (1994, Al-Nahrain University), an M.Eng.Sc. (2000, University of Malaya), and a Ph.D. in Electrical Engineering (2011, UNSW). His work focuses on scalable video compression, interactive media delivery, and JPEG2000 standards, including developing the High-Throughput JPEG2000 (HTJ2K) standard (ISO/IEC 15444-15/ITU-T T.814). He authored the open-source OpenJPH implementation of HTJ2K. Education: B.Sc., Al-Nahrain University (1994) M.Eng.Sc., University of Malaya (2000) Ph.D., UNSW (2011) Research Interests: Interactive scalable video compression, wavelet-based coding, motion estimation, and standards development. Key Achievements: HTJ2K standardization, OpenJPH implementation, and contributions to multiview and lightfield compression techniques. His recent work includes machine-learning enhanced transforms for image compression and GPU-based HTJ2K encoding/decoding optimizations. He has authored over 50 papers, 2 patents, and served as a reviewer for IEEE Transactions and conferences like ICIP.

Wojciech Pieczynskiمشاهده پروفایل

استاد

• Signal Processing
• Image Segmentation
• Statistical Modeling
• +۳ مورد دیگر

Prof. Wojciech Pieczynski is a Professor at Telecom SudParis, affiliated with the SAMOVAR department. His research focuses on statistical signal processing, hidden Markov models, and their applications in image segmentation, data analysis, and transportation systems. He has published extensively on topics including semi-Markov chains, triplet Markov models, and hybrid machine learning approaches. His work integrates advanced statistical methodologies with real-world challenges such as traffic state prediction, non-stationary data analysis, and biomedical activity classification using wearable sensors. Key contributions include innovations in filtering techniques, model order reduction, and unsupervised learning algorithms.

• Control Systems
• Optimization
• Fractional-Order Systems
• +۳ مورد دیگر

Professor Milan Rapaić is a full professor at the Department of Computer Science and Automation, University of Novi Sad's Faculty of Technical Sciences. He holds a PhD in Control Systems from the same institution (2011) and has been employed since 2006, progressing through associate professor (2011), associate professor (2016), to full professor (2021). He served as Director of the Department of Computer Science and Automation from 2024, and was a visiting professor at Bordeaux INP, France (2023). He is a member of the doctoral council at the University of Bari's Politecnico and has held leadership roles in academic governance, including Dean of Studies for Computer & Automation Engineering programs (2021-2024). Education: Integrated BSc/MSc in Computer & Automation Engineering (2001-2006), PhD in Control Engineering (2011). Research focuses on advanced control methodologies, fractional-order systems, infinite-dimensional systems, and AI-driven optimization solutions. His applied work includes development of complex control systems and AI solutions for industry partners. He has published over 40 papers in M20-ranked journals (20+ in M21/M21a), authored three technical books, and holds one international patent. Leadership roles include Vice-Chair of IcETRAN/ETRAN conference program committee (2016-2021), Board member of International Council on Fuzzy Systems (ICFDA), and reviewer for multiple conferences/journals.

Gabriela Apreuteseiمشاهده پروفایل

مدرس

• Convex Analysis
• Variational Calculus
• Functional Analysis
• +۱ مورد دیگر

Roles & Affiliations: Gabriela Apreutesei is a Lecturer (PhD) at the Department of Mathematics, Faculty of Mathematics, Alexandru Ioan Cuza University of Iași, Romania. She specializes in Convex Analysis, Variational Calculus, Functional Analysis, and Topology. Her work focuses on set-valued analysis, hypertopologies, and nonlinear functional spaces. Education: PhD in Mathematics (2000) from Alexandru Ioan Cuza University of Iași, with a thesis on topological structures in linear spaces. She holds a Master's and Bachelor's degree from the same institution. Research Interests: Her research spans convex analysis, variational calculus, and topology, particularly in hypertopologies, set-convergence, and fuzzy multimeasures. She explores semi-linear spaces and their applications in optimization and control theory. Recent work includes studies on C-metric spaces, Cauchy conditions in topological frameworks, and continuous dependence in difference equations. Key Contributions: Notable contributions include developing topological properties for non-linear spaces and proving results on continuous dependence in second-order systems. Her work on Darboux properties of fuzzy multimeasures earned a Best Paper Award at the 2009 WSEAS Conference. Awards & Grants: Recipient of the 2005 Act of Honour for contributions to the American Romanian Academy Congress. She led or participated in multiple research grants, including CNCSIS-funded projects on set-valued analysis and variational methods. Recent grants include WSEAS-funded projects on fuzzy mathematics and set-valued analysis. Teaching & Service: Teaches complex analysis and related courses. Served as a reviewer for An. St. Univ. 'Al. I. Cuza' Iasi and Mathematical Reviews . Actively participates in seminars on measure theory and optimization, presenting on topics like hypertopologies and bounded conditions.

Crescenzo Pepeمشاهده پروفایل

پژوهشگر ارشد

• Control Theory
• Industrial Automation
• Process Control
• +۱۲ مورد دیگر

Crescenzo Pepe is a Research Fellow and Adjunct Professor at Marche Polytechnic University . His work bridges control theory and industrial automation , focusing on Industry 4.0 solutions for monitoring, optimization, and predictive maintenance in diverse sectors including steel, cement, water distribution, HVAC, hydroelectric power, and district heating. Education : B.Sc. and M.Sc. in Computer and Automation Engineering (2010, 2013), Ph.D. in Information Engineering (2017) from Marche Polytechnic University. His research centers on advanced process control , model predictive control , and process modeling , with applications in energy-intensive industries. Recent publications highlight his expertise in integrating Industry 4.0 technologies with traditional control systems, particularly for energy efficiency and real-time optimization in steel and hydroelectric plants. He also explores fuzzy logic for fault detection in industrial machinery. Pepe has co-authored over 40 publications and two Italian patents, contributing to more than 20 industrial control projects. While no specific awards are listed in the provided text, his roles as reviewer, editor, and board member for academic conferences and journals underscore his influence in the field. He has collaborated with researchers like Silvia Maria Zanoli and Giorgia Farella.

Evren Gurkan Cavusogluمشاهده پروفایل

دانشیار

• Systems and Control Theory
• Systems Biology
• Computational Biology
• +۳ مورد دیگر

Evren Gurkan Cavusoglu is an Associate Professor in the Department of Electrical, Computer, and Systems Engineering at Case School of Engineering , where he also serves as the Associate Dean of Academics . His academic career bridges engineering and biology through interdisciplinary research. Education MBA, Case Western Reserve University (2016) PhD in Electrical and Electronics Engineering, Middle East Technical University (2003) MSc in Automatic Control and Systems Engineering, University of Sheffield (1997) BSc in Electrical and Electronics Engineering, Middle East Technical University (1996) His research focuses on systems and control theory , systems biology , and computational biology , with applications in biological system modeling and signal processing . He develops in silico models to enhance cancer therapies and study cellular dynamics. Recent publications highlight his work in radiosensitization , DNA repair mechanisms , and fuzzy control systems . His teaching includes signal processing , control systems , and systems biology . Scientific Awards CSE Undergraduate Teaching Award (2017) He is a member of the Institute of Electrical and Electronics Engineers (IEEE) and has contributed to journals like IET Systems Biology , Frontiers in Oncology , and Cancer Research . His work emphasizes translational applications of engineering principles in biomedicine.

Monika Kurkkioمشاهده پروفایل

استادیار

• Accounting and Governance
• Product and Process Development
• Interorganizational Relations
• +۲ مورد دیگر

Monika Kurkkio is an Assistant Professor at Luleå University of Technology, affiliated with the Department of Industrial Economics under the Department of Economics, Technology, Arts and Society. Her research focuses on accounting and governance, particularly in the contexts of product and process development projects, interorganizational relations for innovations, and technical/social aspects of accounting. Research Interests: Management of early-phase product/process development, hybridization in professional roles, institutional drivers in mining companies, strategic capital investment control mechanisms. Teaching: Courses in accounting, financial management, and related topics at both basic and advanced levels, with examiner roles in multiple courses. Publications: Explores hybridization thesis in accounting, control in mining industry R&D, and business model elements in industrial cases. Organizational Roles: Board member of FEKIS (Forskningskommittén för industriell ekonomi och organisation).

Ulrich Birkelمشاهده پروفایل

استاد

• Wireless Communications
• Mobile Networks
• Indoor Positioning Systems
• +۵ مورد دیگر

Prof. Dr.-Ing. Ulrich Birkel serves as a Professor of Communication Technology at the Technical University of Central Hesse (THM) within the Department of Electrical Engineering and Information Technology. His office is located at Wiesenstrasse 14, Building A21 Room 3.16 in Gießen, Germany. He has held this position since 2002 and previously served as Dean of the Department from WS05/06 to SoSe 08. His research focuses on Wireless Communications and Mobile Networks , with specialized expertise in Indoor Positioning Systems using leaky coaxial cables, Narrowband IoT technologies, and RF engineering. Key research areas include: Indoor localization techniques using UMTS and WLAN Leaky feeder cable optimization for positioning systems Narrowband IoT protocol development and QoS analysis Wireless acoustic sensor networks for environmental monitoring Multipath propagation mitigation in indoor environments His publication record spans from 2007 to 2022, demonstrating consistent contributions to wireless communications. Recent work (2020-2022) focuses on Narrowband IoT protocols and smart city applications, while earlier research (2009-2012) established foundational work in leaky coaxial cable positioning systems. Publications appear in IEEE journals, Sensors, and Smart Cities, reflecting interdisciplinary work bridging telecommunications engineering and practical IoT applications. He leads several research facilities including: Information and Communication Technology Working Group Laboratory for Radio and Communication Systems Cisco Networking Academy (Computer Networks 1 and 2) IoT Lab (Internet of Things Laboratory)

Kübra YAZICIمشاهده پروفایل

پژوهشگر

• Artificial Intelligence
• Quality Management
• Fuzzy Logic

Kübra YAZICI is a Researcher at Turkish Air Force University, Faculty of Engineering, Department of Industrial Engineering. Her research focuses on Artificial Intelligence, Quality Management, and Fuzzy Logic. 2014-2018: BSc in Industrial Engineering, Sakarya University Faculty of Engineering 2018: MA in Industrial Engineering with thesis, Sakarya University Institute of Science 2021: PhD in Industrial Engineering, Yıldız Technical University Institute of Science Her research explores applications of fuzzy logic in logistics and healthcare, AI/ML techniques for optimization, and quality management frameworks like Six Sigma and FMEA. Key trends in her publications include AI-driven logistics strategies, fuzzy logic for risk classification, ensemble learning in process control, and lean manufacturing innovations. Her contact email is kubra.yazici@tau.edu.tr and office phone is +902163333162 (ext: 3162).

Cigdem Sengulمشاهده پروفایل

دانشیار

• Internet of Things
• Security and Privacy
• Personal Data Protection
• +۳ مورد دیگر

Dr. Cigdem Sengul is a Reader in Computer Science at Brunel University London's College of Engineering, Design and Physical Sciences, where she leads research on Internet of Things security and serves as Athena SWAN SAT Lead and College-level Equality, Diversity, Inclusion Champion. She holds a PhD and MSc in Computer Science from the University of Illinois at Urbana-Champaign and a BSc from Istanbul Technical University. Her research focuses on trustworthy systems in IoT, with expertise spanning: Privacy-enhancing technologies and security-by-design principles Citizen-centric solutions for smart environments Wireless network optimization and experimental deployments Human-computer interaction for privacy interfaces Applications in global health and education technology Her recent publications demonstrate strong interdisciplinary focus, with 40% addressing IoT security frameworks, 30% examining human factors in privacy, 20% developing health monitoring solutions for vulnerable populations, and 10% analyzing AI policy impacts. Research consistently emphasizes practical implementations and standardization. Honors & Awards Fulbright Fellowship at UIUC Vodafone Research Fellowship Fellow of Higher Education Academy Research Leadership Principal Investigator for: THRIDI (EPSRC): Rethinking IoT interface design (2020-2021) Dark Patterns Awareness (EPSRC): Studying children's vulnerability to online manipulation (2021-2022) SMILE Project: Wearable infant monitors for Sierra Leone She mentors PhD students in IoT security and leads Brunel's collaboration with Micro:bit Foundation, co-authoring educational materials on networking concepts.