جست‌وجوی استاد و پژوهشگر

• Drug Discovery
• Immunology
• Signal Transduction
• +۳ مورد دیگر

Prof. Dr. Belkıs Atasever Arslan is a Professor in the Department of Molecular Biology and Genetics at Üsküdar University , where she has served since 2012. She holds an Adjunct Associate Professor position at the University of Illinois at Chicago (since 2019) and leads the Molecular Biotechnology Research Group . With a Doctorate in Physiology (Istanbul University, 2008), her career includes postdoctoral work at Sabancı University (2009-2012) and leadership roles as Department Head since 2019. 2001: B.Sc. in Biology, Istanbul University 2004: M.Sc. in Physiology, Istanbul Faculty of Medicine 2008: Ph.D. in Physiology, Istanbul Faculty of Medicine Research Interests span Drug Discovery , Immunology , and Signal Transduction , with a focus on neurodegenerative diseases (Alzheimer's, Parkinson's), cancer biology (leukemia, endometrial cancer), and metal toxicity. Her work integrates in vitro models , computational biology , and metal-based therapeutics . Recent Publications (2025-2020) emphasize metal complexes for antiviral/anticancer applications, neuroprotective natural compounds (sesamol, Hypericum), and genetic biomarkers in neurodegeneration. Key journals include Journal of Molecular Structure , Toxicology Reports , and Pharmacognosy Magazine . Scientific Awards include the TÜBA Postdoctoral Fellowship (2009), TÜBİTAK Scholarships , and European Patents . She has supervised 5+ graduate theses and participates in international conferences (e.g., Artemis Scientific Research Congress, ICSTR Rome). Administrative Roles include Department Head (2019-present), Academic Committee Membership , and leadership in Erasmus Coordinations . She teaches Physiology , Signal Transduction , and Immunology courses.

• Optimization Algorithms
• Supply Chain Management
• Production Planning
• +۴ مورد دیگر

Achim Koberstein is an Assistant Professor at Johann Wolfgang Goethe University, Frankfurt am Main, where he holds the Detlef Hübner Endowed Chair for Business Administration, specializing in Logistics and Supply Chain Management within the Department of Economics. His research focuses on optimization methodologies applied to industrial and logistical challenges. Research Focus Professor Koberstein's work spans three primary domains: Optimization algorithms and solver technology, production and supply network planning systems, and gas market optimization frameworks. His research integrates mathematical modeling with practical applications in: Advanced algorithm development for large-scale linear programming Strategic planning in automotive manufacturing systems Risk-optimized procurement in liberalized energy markets Sustainable logistics network design Publication Analysis Koberstein's recent publications (2006-2010) demonstrate consistent focus on optimization techniques with industrial applications. His work evolves from foundational algorithm improvements (dual simplex enhancements, Gomory cut strengthening) to domain-specific implementations in automotive production planning, gas procurement, and logistics networks. A strong emphasis emerges on uncertainty modeling, resource optimization, and large-scale system design.

• Nuclear Physics
• Experimental Physics
• Sensor Development
• +۱ مورد دیگر

Prof. Dr. Thomas Kern is a Professor of Experimental Physics, particularly Atomic and Nuclear Physics, at the Brandenburg University of Technology (BTU) since September 1994. He is affiliated with the Department of Technology, located in the Engineering Science Center (Room 422) in Brandenburg an der Havel. His educational background includes: Born in 1955 in Titisee-Neustadt Physics studies at the University of Freiburg (1974-1980), specializing in Thermodynamics and Nuclear Spectroscopy Doctorate (Dr. rer. nat.) on "Collective phenomena in medium-heavy nuclei of the sd shell" Dr. Kern's research spans experimental nuclear physics and applied industrial physics. Key areas include the development of optical strain sensors for resistance spot welding diagnostics, vibration monitoring (notably at Brandenburg Cathedral), temperature measurement in spin-bond processes, and crack measurements on buildings. His work bridges fundamental physics with practical engineering solutions, focusing on sensor development and industrial measurement technology. His publication record includes research on industrial applications, such as the visualization of resistance spot welding processes in production lines (1998). This work reflects his focus on applying physics principles to solve real-world manufacturing challenges, particularly in sensor development and process monitoring. No information on students or research grants is provided in the available text. He conducts research within the Engineering Science Center at BTU, focusing on experimental projects in sensor development and industrial applications.

Tallys Yunesمشاهده پروفایل

دانشیار

• Operations Research
• Optimization
• Mathematical Modeling
• +۷ مورد دیگر

Tallys Yunes is an Associate Professor of Management Science at the Miami Herbert Business School, University of Miami. Originally from Rio de Janeiro, Brazil ("carioca"), he studied computer engineering and computer science at UNICAMP in Brazil before earning his Ph.D. from Carnegie Mellon University. His research focuses on applying optimization techniques to solve practical problems across various domains. Dr. Yunes's research interests span a wide range of applications in operations research and optimization: Healthcare operations and appointment scheduling Sports analytics and umpire scheduling (including Major League Baseball) Product line optimization and complexity cost analysis Information display on maps and proportional symbol maps Political districting and electoral systems Supply chain management and multi-supplier procurement Resource allocation and parallel task scheduling Hybrid optimization methods combining different techniques His recent publications demonstrate a consistent focus on applying mathematical optimization to real-world problems. He has published in top journals like Management Science, Production and Operations Management, INFORMS Journal on Computing, and European Journal of Operational Research. His work often involves collaboration with industry partners such as Caterpillar and MLB, demonstrating the practical impact of his research. Dr. Yunes is actively engaged in the academic community through his blog "O.R. by the Beach," where he discusses operations research concepts and applications. He has also developed educational content including games and YouTube videos to make optimization concepts more accessible.

• Industrial Engineering
• Sustainable Manufacturing
• Circular Economy
• +۴ مورد دیگر

Giorgio Mossa is a Full Professor at the Polytechnic University of Bari (Italy) in the Department of Mechanics, Mathematics & Management, where he also serves as Director of the Master of Science in Ingegneria Gestionale. His work bridges industrial engineering, sustainability, and digital technologies. Research interests focus on: Sustainable systems : Circular economy implementation, decarbonization models, waste valorization, and life cycle assessment. Human factors : Cognitive workload modeling, human error prediction, and Industry 5.0 operator support. Digital transformation : IoT-enabled logistics, digital twins, cyber-physical systems, and servitization business models. Recent publications (2022-2025) demonstrate strong emphasis on: Industrial sustainability via waste-to-hydrogen pathways and circular bioeconomy Human-centric digital tools for maintenance and quality control Integration of IoT/cloud technologies in manufacturing and logistics

• Organic Chemistry
• Natural Products Chemistry
• Green Chemistry
• +۵ مورد دیگر

Maria Adília Januário Charmier serves as Associate Professor at Lusofona University's Faculty of Engineering in Lisbon, Portugal, while directing the Biotechnology bachelor program and co-leading the Circular Bioeconomy and Technology bachelor program. With over 30 years of teaching experience in General Chemistry, Organic Chemistry, and Natural Products Chemistry through Ciência Viva and Casa da Ciência initiatives, she bridges academic instruction with practical science outreach and campus sustainability as a member of the Faculty's Eco-Schools Council. Her academic credentials include: PhD in Organic Chemistry, Université Blaise Pascal, France (1993) DEA (Diplôme d'études approfondies) in Chemistry, Université Blaise Pascal Maîtrise-ès-Sciences in Chemistry, Université Blaise Pascal Dr. Charmier's research integrates green chemistry principles with biotechnology to develop sustainable solutions. Her primary focus involves microwave-assisted extraction of bioactive compounds from medicinal plants and organic waste streams, and synthesis of metal-coordinated natural product derivatives for pharmaceutical, nutraceutical, and biomaterial applications. This work advances circular bioeconomy models by transforming agricultural and industrial waste into value-added products while minimizing environmental impact. Analysis of her publication history reveals three dominant research trajectories: circular economy applications (particularly waste valorization in food systems), nanotechnology-driven drug delivery systems, and bioinorganic therapeutic development. Recent publications demonstrate increasing interdisciplinary convergence, with 2022-2025 works showing strong integration of sustainability metrics, advanced material characterization, and translational biomedical applications – reflecting evolving priorities in green chemistry and sustainable development. Scientific Awards: No specific awards documented in source materials. Dr. Charmier has supervised multiple Master's and PhD candidates alongside international postdoctoral researchers. Her research funding portfolio includes: International: ERASMUS KA2-STEM Education projects National: FCT grants, P2020 and P2030 innovation programs She maintains dual research affiliations with the Centre of Structural Chemistry (CQE) at IST-UL and Lusofona University's Bioengineering and Sustainability research group (BioRG), where she leads projects on green extraction technologies and metal-based biomaterials. Her industry engagement extends to scientific advisory roles at Cerebio (France) and EXMceuticals Inc. (Canada), including co-founding EXMceuticals Portugal Lda where she served as CEO until 2019.

Sui-Seng Teeمشاهده پروفایل

استادیار

• Metabolism
• Hyperpolarized Magnetic Resonance Spectroscopy (HP-MRS)
• Cancer Imaging
• +۶ مورد دیگر

Dr. Sui-Seng Tee is an Assistant Professor in the Department of Diagnostic Radiology and Nuclear Medicine at the University of Maryland School of Medicine. His lab focuses on the intersection of cancer signaling pathways and metabolism, pioneering metabolic imaging technologies like hyperpolarized magnetic resonance spectroscopy (HP-MRS) for real-time, non-invasive metabolic flux analysis. PhD in Biochemistry from the University of Cambridge (2011) Postdoctoral training at Stanford University (2014) Research Associate at Memorial Sloan Kettering Cancer Center (2018) Research interests include fructose metabolism in hepatocellular carcinoma, development of HP-MRS reporter genes, and metabolic imaging for cancer diagnosis and treatment monitoring. His work explores how targeted therapeutics affect tumor metabolism and aims to design novel imaging probes for drug response assessment. Recent grants include NIH R21 awards from the National Institute on Aging ($1,346,893 total) for longitudinal imaging studies on maternal exercise effects and synucleinopathy. Dr. Tee actively recruits postdoctoral researchers and laboratory assistants for his team at the Center for Advanced Imaging Research (CAIR).

Malte Fliednerمشاهده پروفایل

استاد

• Operations Research
• Operations Management
• Scheduling
• +۶ مورد دیگر

Prof. Dr. Malte Fliedner is a faculty member at the University of Hamburg within the Business School 's Institute for Operations Management . His research focuses on operations research , assembly line balancing , logistics , and just-in-time (JIT) production . He has held academic positions at TU Darmstadt and Friedrich-Schiller-Universität Jena. PhD in Business Administration (University of Hamburg, 2008) with distinction Habilitation in Business Administration (FSU Jena, 2012) Studium der Betriebswirtschaftslehre (University of Hamburg, 1999-2004) His research explores scheduling optimization , container terminal operations , and mixed-model assembly line balancing . Key themes include resource allocation , cross-docking , and train/shunting logistics . Recent trends in his publications address emergency job scheduling and multi-yard crane workload levelling . Scientific Awards: IIE Transaction Award (2013) Handelsblatt Betriebswirte Ranking Top 6 (2012) Herbert Jacob-Preis (2010) Promotionspreis der GOR (2009) Nachwuchspreis der VHB (2008) He is affiliated with the Institute for Operations Management and collaborates with colleagues like Prof. Dr. Karl-Werner Hansmann and Dr. Julian Golak.

İhsan Hakan SELVİمشاهده پروفایل

استاد

• Manufacturing Systems
• Production Systems
• Artificial Intelligence in Manufacturing
• +۵ مورد دیگر

Prof. Dr. İhsan Hakan SELVİ is a distinguished Professor at Sakarya University's Faculty of Computer and Information Sciences, Department of Information Systems Engineering. With a career spanning over two decades at Sakarya University, he has progressed from Research Assistant positions (2001-2017) to his current professorship. His administrative leadership includes serving as Institute Director of the Institute of Science (2022), Deputy Head of Department (2016-2020), and multiple board memberships including the Sakarya Economic and Social Research Center (2023-2026). His research expertise spans manufacturing systems, particularly Seru production systems, assembly systems, deep learning applications in manufacturing, and Industry 4.0 technologies. His work bridges traditional industrial engineering with modern AI techniques, focusing on practical applications in production environments. He has developed conceptual models for smart seru production systems using deep learning for real-time monitoring and controlling, and has conducted extensive bibliometric analyses of production scheduling problems. Prof. SELVİ's scholarly output demonstrates strong trends in applying AI to manufacturing challenges, with increasing focus on deep learning approaches in recent years. His work shows interdisciplinary connections between industrial engineering, computer science, and operations research. His publications span high-impact journals in production research, computer-integrated manufacturing, and industrial engineering. Bilim Ödülü (Science Award) Teşekkür Belgesi (Certificate of Appreciation) As an academic advisor, he has supervised numerous graduate students across diverse topics including machine learning for anomaly detection in water consumption, protein structure prediction using deep learning, and automotive plant logistics optimization. His research projects include significant collaborations such as the "Kauçuk Hamuru tasarımı ve üretimi" project focusing on rubber compound design and Industry 4.0 applications in the rubber sector. He has also contributed to knowledge management and digital transformation through various book chapters and edited volumes. Prof. SELVİ leads or participates in multiple research teams focusing on production systems optimization, AI applications in manufacturing, and digital transformation. His current work continues to explore the intersection of deep learning and manufacturing systems, particularly in the context of Industry 4.0 implementation in Turkish industrial settings.

Muhammed Kotanمشاهده پروفایل

استادیار

• Artificial Intelligence
• Computer Software
• Image Processing
• +۱۳ مورد دیگر

Muhammed Kotan is an Assistant Professor at the Department of Information Systems Engineering , Sakarya University , where he has served since 2022. His academic career includes roles as a Research Assistant (2011–2022) at Sakarya University and Afyon Kocatepe University. He holds a PhD in Computer and Information Engineering (2020), an MSc in Computer and Information Engineering (2014), and a BSc in Computer Engineering (2011) from Sakarya University. Research Interests : Artificial Intelligence, Computer Software, Image Processing, Machine Learning, Computer Vision, Medical Imaging, Energy Efficiency Optimization, Natural Language Processing, Sentiment Analysis, Feature Selection, 3D Reconstruction, Industrial Machine Detection, Optimization Algorithms, Real-Time Systems, User Reviews Analysis, E-Commerce Analytics. Key Contributions : Developed hybrid methods for 3D reconstruction and industrial machine defect detection, optimized tow train routing in manufacturing, and applied Marine Predators Algorithm for mental health screening. Scientific Recognition : Awarded the Eğitim Öğretimde Üstün Başarı Ödülü by Sakarya University (2024). Served as editor for the Sakarya University Journal of Computer and Information Sciences (2023–2024) and peer reviewer for journals like Signal, Image and Video Processing and Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi . Advising : Co-advisor for TÜBİTAK projects (2022–2024) and supervised student research on topics like cosmetic product recognition, natural language processing, and sentiment analysis. Designed courses in Digital Image Processing, Text Mining, and Advanced Information Systems.

• Spiking Neural Networks
• Memristors
• Neuromorphic Computing
• +۵ مورد دیگر

Jean Tomas is an Associate Professor at the University of Bordeaux, affiliated with the Laboratoire de l'intégration, du matériau au système (IMS). He is a member of the Bioelectronics research group and Team 2HC within IMS, a prominent research laboratory focused on materials, systems integration, and micro/nanoelectronics. His work bridges the gap between theoretical neural models and practical hardware implementations. Dr. Tomas's research focuses on neuromorphic engineering with particular emphasis on spiking neural networks and memristive systems. His work spans from fundamental circuit design of biomimetic neurons to practical applications in low-power computing and intelligent sensors. He has made significant contributions to the hardware implementation of spiking neural networks using memristive technologies, exploring how these systems can achieve efficient computation with minimal energy consumption. His research also extends to electronic microassembly processes and power electronics. The analysis of his publication record reveals a consistent trajectory from early work on analog neural circuit design toward increasingly sophisticated neuromorphic systems. His recent publications demonstrate expertise in mixed-mode spiking neural networks, passive memristive arrays, and their application to neuromorphic cameras. His work addresses critical challenges in hardware neural networks, including the effects of line resistance in crossbar arrays and strategies for on-the-fly learning in resource-constrained environments. Dr. Tomas actively collaborates with researchers across multiple institutions, including CNRS@CREATE Ltd. and various university laboratories. His work has been supported by significant research initiatives including ANR-19-CHIA-0003 (GrAI - Green Artificial Intelligence) and the European Project ULPEC (Ultra-Low Power Event-Based Camera). He is deeply involved in the Bioelectronics research ecosystem at IMS, contributing to both fundamental research and practical applications. His work connects circuit design with system-level implementation, particularly in the development of energy-efficient neuromorphic sensors that can process information at the edge of computing networks.

• Animal Nutrition
• Poultry Science
• Feed Technology
• +۶ مورد دیگر

Dr. Arda Çelik is an Associate Professor in the Department of Animal Science at Bursa Uludağ University's Faculty of Agriculture, specializing in Feeds and Animal Nutrition. With over 147 publications indexed in Web of Science and an h-index of 11, his research has made significant contributions to poultry science and animal nutrition. He has held various academic positions since 2011, progressing from Research Assistant to his current role as Associate Professor. His educational background includes a Doctorate (2014-2018), Postgraduate studies (2011-2014), and Undergraduate degree (2008-2011), all from Bursa Uludağ University in Animal Science. He also holds an Associate Degree in Food Processing (2006-2008) and another in Health Programs from Anadolu University (2013-2015). Dr. Çelik's research primarily focuses on animal nutrition, particularly poultry science and feed technology. His work examines free-range farming systems, microalgae as alternative feed sources, incubation biology, and sustainable poultry production. He investigates how different farming systems affect animal welfare, growth performance, and product quality, with special attention to local Turkish poultry genotypes like Atak-S and Atabey. His publication record shows a clear progression from foundational studies on incubation conditions and broiler performance to more recent innovative work on microalgae-based feed solutions and sustainable production systems. The research increasingly addresses environmental sustainability through waste gas utilization for microalgae cultivation and circular economy approaches in animal feed production. Dr. Çelik actively serves as a thesis advisor for postgraduate students and participates in numerous university committees, including Rectorate Commissioner, Ethics Committee, and Unit Accreditation Board. His professional activities extend to peer reviewing for SCI-indexed journals and evaluating research projects for TÜBİTAK. As a member of the World's Poultry Science Association and Hayvan Besleme Bilim Derneği (Animal Nutrition Science Association), he maintains active engagement with the international scientific community. His recent involvement in organizing the International Poultry Congress 2024 demonstrates his leadership in the field.

• Electrical and Electronics Engineering
• Circuits and Systems Theory
• Electromagnetics
• +۵ مورد دیگر

Assoc. Prof. Dr. Ramazan Köprü serves as a full-time Associate Professor in the Department of Electrical and Electronics Engineering at Işık University's Faculty of Engineering and Natural Sciences, Istanbul. His academic career spans over two decades with continuous contributions to microwave engineering, circuit design, and antenna technologies, maintaining an active teaching and research profile through 2025. His educational foundation includes: PhD in Electronics Engineering (1995-2013) from Istanbul Technical University Master's in Electronics and Communication Engineering (1991-1994) from Istanbul Technical University BSc in Electronics and Communication Engineering (1987-1991) from Yıldız University Dr. Köprü's research centers on advanced microwave systems with emphasis on wideband amplifier design, active inductor circuits, and antenna matching networks. His work bridges theoretical circuit synthesis with practical RF implementations, particularly focusing on GaN-based amplifiers, tunable components, and UWB systems. Recent publications demonstrate innovative approaches like the Normalized Gain Function Method and FSRFT techniques for optimizing power transfer and bandwidth in wireless communication systems. Analysis of his 2024 publications reveals a concentrated effort in solving impedance matching challenges for next-generation wireless devices, with significant attention to low-loss active components and precision synthesis methods. These works consistently target applications in high-speed data transmission, mobile communications, and sensor systems, reflecting strong industry relevance. He has supervised two graduate students to completion: Hadi Ghasemzadeh Momen (2016 MSc thesis on tunable active inductors) and Moaamen Magdy Abdelrazeq Mohamed (2025 PhD thesis on time-domain ADC circuits). His research is supported by projects including the ASELSAN HEWS PROGRAM and microwave circuit design packages developed for industrial applications. As an IEEE member since 2016, he contributes to the academic community through conference participation and peer review activities.

• Human-Robot Interaction
• Automated Assembly and Disassembly
• Flexible Grippers and Manipulators
• +۵ مورد دیگر

Karel Kellens serves as an Associate Professor in the Department of Mechanical Engineering within the Faculty of Engineering Technology at KU Leuven. He holds dual campus appointments at Diepenbeek and Leuven, coordinating research and education initiatives for Materials and Mechanical Engineering across both Geel and Diepenbeek campuses. As a senior academic staff member, he participates in the Council of the Faculty of Engineering Technology and the Mechanical Engineering Department Council, contributing to institutional governance and academic strategy. His research centers on Human-Robot Interaction , Automated Assembly and Disassembly , and Energy-Efficient Manufacturing , with particular emphasis on flexible gripper systems and circular economy applications. Current projects span robotic demanufacturing of batteries (AUDRI, DEMAN), 3D concrete printing (3D4WALL), and high-speed aseptic filling lines (ISOLATOR5.0_IRVA), demonstrating strong industry alignment in sustainable manufacturing and waste valorization. Analysis of his recent publications reveals a dominant focus on waste sorting automation and battery remanufacturing , with technical contributions in multi-robot coordination algorithms, adaptive gripper design, and radiation mapping for hazardous environments. His work consistently bridges theoretical robotics with industrial implementation, particularly in pharmaceutical and recycling sectors. Kellens actively supervises doctoral candidates including Engelen, Peeters, and Cramer, with current grants totaling over €10 million in collaborative European and national projects. He leads the Robotics, Automation and Mechatronics (RAM) research unit at Diepenbeek Campus, which operates specialized laboratories for robotic disassembly, gripper development, and sustainable manufacturing validation. Future research directions emphasize autonomous demanufacturing systems and resource-efficient circular production models.

Oliver Hädickeمشاهده پروفایل

پژوهشگر

• Stoichiometric Network Analysis
• Biotechnological Process Optimization
• Metabolic Flux Analysis
• +۲ مورد دیگر

Dr.-Ing. Oliver Hädicke is a researcher at the Max Planck Institute for Dynamics of Complex Technical Systems, specializing in the analysis and redesign of biological networks. His work focuses on the reconstruction and analysis of stoichiometric networks, optimization of biotechnological processes, and method development for strain design. His research interests span Stoichiometric Network Analysis , Metabolic Flux Analysis , Thermodynamic Analysis of Metabolic Networks , and Strain Design . His work bridges computational biology with practical biotechnological applications, particularly in metabolic engineering where he develops methods for predicting gene knockout and overexpression candidates. Analysis of his publication record from 2010-2017 shows a consistent focus on constraint-based modeling of metabolic networks, with particular emphasis on Escherichia coli systems. His research demonstrates strong integration of computational methods with experimental validation, especially in ATP metabolism manipulation, lactate production optimization, and redox balancing. A significant portion of his work involves the development and application of CellNetAnalyzer, a software tool for metabolic network analysis. Dr. Hädicke has made substantial contributions to metabolic engineering through his development of computational approaches for strain optimization, including CASOP (Computational Approach for Strain Optimization aiming at high Productivity) and methods using constrained minimal cut sets for identifying metabolic intervention strategies.