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Görkem Deniz SönmezView profile

Associate Professor

• Molecular Plant Systematics
• Recombinant Gene Expression in Plants
• Biotechnology
• +7 more

Görkem Deniz Sönmez is an Associate Professor at Adıyaman University Faculty of Pharmacy, Department of Pharmacy Professional Sciences, specializing in Pharmaceutical Botany. He has been working at the university since 2015, initially as an Assistant Professor and promoted to Associate Professor in 2018. Prior to this, he worked as a Research Assistant and Research Assistant Doctor at Balıkesir University Faculty of Arts and Science, Department of Biology from 2005 to 2015. His educational background includes: Bachelor's degree in Biology Education from Balıkesir University, Necatibey Faculty of Education (2005) Master's degree in Biology from Balıkesir University Institute of Science (2007) Doctorate in Biology from Balıkesir University Institute of Science (2013) Dr. Sönmez's research focuses on plant molecular biology, biotechnology, and pharmaceutical botany. His expertise spans Molecular Plant Systematics, Recombinant Gene Expression in Plants, and Biotechnology applications in pharmacy. He teaches courses including Pharmaceutical Botanical Laboratory, Cell Culture, Plant Biotechnology in Pharmacy, and Pharmacognosy Laboratory. His work bridges plant science with pharmaceutical applications, particularly in medicinal plants and plant secondary metabolites. His research portfolio demonstrates a progression from olive molecular genetics to broader pharmaceutical botany research. Early work focused on olive genes (mevalonate kinase, β-glucosidase, metallothioneins), while recent research emphasizes Turkish endemic plants, phytochemical analysis, DNA barcoding, and biological activity assessment. He has also conducted significant research on boron-tolerant microorganisms and their environmental implications. Dr. Sönmez has served in administrative roles including Head of Department (2015-2018 and 2018-present) and Vice Dean (2019-2023 and 2023-present). He has been a member of the Faculty Board of Directors since 2020. His scientific contributions include numerous publications spanning plant molecular biology, phytochemistry, microbiology, and pharmaceutical sciences, with increasing focus on medicinal plants and their bioactive compounds in recent years.

• Urban Planning
• Regional Development
• Urban Transformation
• +5 more

Prof. Kübra Çamur currently holds the position of Professor at Gazi University, College of Architecture, Department of City and Regional Planning. She has been affiliated with this institution since 2022 and serves as the Head of the Social Transcript Committee since 2023. Education : Doctorate: Ankara University, Faculty of Political Sciences, Department of Political Science and Public Administration (2000) Postgraduate: Middle East Technical University, Graduate School of Natural and Applied Sciences, Regional Planning (1991) Undergraduate: Middle East Technical University, Faculty of Architecture, Department of City and Regional Planning (1986) Research Interests : Her work focuses on urban and regional planning with emphasis on: - Urban sprawl and rural-urban transformation - Real estate acquisition and spatial dimensions - Urban regeneration legislation and implementation - Tourism development and urban conservation - Strategic planning and its associated risks - Social housing and socio-spatial layers Scientific Contributions : Prof. Çamur has published extensively in SSCI, AHCI, and ESCI journals, with notable recent works examining urban health impacts, spatial tendencies in Ankara's furniture sector, and agricultural land changes in Erzurum. She has contributed to policy discussions through expert reports and book chapters. Scientific Awards : Gazi Üniversitesi Rektörlüğü Yayın Teşvik Ödülü (2024) Academic Leadership : She has served as a committee member for academic staff appointments, thesis evaluations, and journal editorial boards. Her research has secured funding from higher education institutions for projects on urban poverty, tourism dynamics, and spatial development.

• Artificial Intelligence
• Human-Computer Interaction
• Robotics
• +13 more

Assoc. Prof. Dr. Gökhan İnce is a faculty member at Istanbul Technical University (ITU) in the Department of Computer Engineering, under the Computer and Informatics unit. He holds a PhD from Tokyo Institute of Technology and has held research positions at Honda Research Institute in both Japan and Germany. His academic and research profile is deeply rooted in artificial intelligence, human-computer interaction, robotics, and smart wearable technologies. PhD, Tokyo Institute of Technology, 2008–2011 MSc, Technische Universität Darmstadt, 2004–2007 BSc, Istanbul Technical University, 1999–2004 His research spans a wide range of topics including speech recognition, emotion recognition, brain-computer interfaces, e-textiles, fog computing, and IoT-based rehabilitation systems . He actively develops intelligent systems for real-world applications such as telerehabilitation, scoliosis monitoring, and AI-driven enterprise solutions. The recent publication trends show a strong focus on textile-based wearable sensors, multimodal emotion recognition, fog computing frameworks, and AI integration in business processes . His work combines hardware innovation with advanced machine learning, particularly in adversarial and transfer learning paradigms. Scientific Awards and Recognitions: Üstün Başarı Ödülü, YÖK, 2024 En Başarılı Tez Ödülü, ITU, 2024 Best Paper Award, IARIA, 2017 and 2016 Best Presentation Award, Signal Processing Applications Conference, 2016 Best Paper and Best Student Paper, IEA-AIE Conference, 2010 BİDEB Postdoctoral Research Fellowship, 2014 He has led and supervised 30 research projects and over 125 research outputs , including numerous peer-reviewed articles and conference contributions. He serves as Principal Investigator (PI) on multiple ongoing projects in AI, smart textiles, and data integration. He is also a member of professional organizations including IEEE, ISCA, and ISAI, and contributes to open science initiatives. His work is conducted through interdisciplinary teams focusing on smart textiles, robotics, AI systems, and biomedical applications . These teams bridge engineering, computer science, and healthcare to develop next-generation assistive and intelligent technologies.

• Artificial Intelligence
• Machine Learning
• Natural Language Processing
• +12 more

Ahmet Cüneyd Tantuğ is an Associate Professor in the Department of Artificial Intelligence and Data Engineering at the Faculty of Computer and Informatics, Istanbul Technical University (ITU). He has been a core faculty member since 2007 and is among the founders of the ITU Natural Language Processing Group. He has held key administrative roles, including Vice Dean (2011–2015) and Head of IT Department at ITU (2012–2020). BSc, MSc, PhD: Istanbul Technical University, Computer Engineering Guest Researcher: University of Copenhagen, Centre for Language Technology (2006–2007) Dr. Tantuğ’s research spans artificial intelligence, natural language processing, machine learning, and deep learning, with a focus on Turkish and other agglutinative languages. His work includes named entity recognition, dependency parsing, machine translation, word sense disambiguation, and text normalization. He has developed linguistic resources for Turkish and low-resource languages such as Amharic, and has contributed to financial AI and temporal expression extraction. His recent publications highlight advancements in Turkish NLP, including optimal vocabulary sizing, tokenization granularity for LLMs, and transformer-based models for named entity recognition. He has led multiple research projects funded by TÜBİTAK, the European Union, and the Ministry of Development. Scientific awards include: Bedri Karafakioğlu Special Award (2000) Siemens Excellence Award (2007) TeknoGirişim Sermaye Desteği Ödülü (2010) He has supervised numerous master’s and PhD students, with theses on topics such as dependency parsing, named entity recognition, and text normalization. He has also served as a consultant for private sector projects in banking, software, and telecommunications, and as a referee for TÜBİTAK, TEYDEB, and the Ministry of Industry and Technology. Dr. Tantuğ leads and participates in active research projects including Turkish text normalization from user-generated content and improving dependency parsing with augmented features. He is a founding member of the ITU Natural Language Processing Group, which continues to be a central hub for NLP research in Turkey.

Burcu TungaView profile

Associate Professor

• Image Processing
• Applied Mathematics
• Computer Science
• +12 more

Burcu Tunga is an Associate Professor in the Department of Mathematics at Istanbul Technical University, Faculty of Science and Letters. She holds a PhD in Computational Science and Engineering from the same institution and has been an active academic since 2005, progressing from Lecturer to her current rank. She has held key administrative roles, including Deputy Head of Department and membership in university-wide promotion and doctoral committees. PhD: Computational Science and Engineering, Istanbul Technical University (2004–2010) BS: Mathematics, Istanbul Technical University (1995–2000) Her research lies at the intersection of applied mathematics and computer science, with a strong emphasis on image processing, data modeling, and High Dimensional Model Representation (HDMR) . She develops and applies advanced mathematical models for image denoising, color-to-gray conversion, hyperspectral analysis, and machine learning-based diagnostics. Her work integrates fractional calculus, deep learning, and tensor decomposition to solve complex problems in medical imaging, agriculture, and materials science. Recent publications (2022–2025) show a strong trend toward hybrid models combining HDMR with deep learning and fractional operators , applied to tasks such as coffee leaf disease detection, wood defect imaging, and hyperspectral anomaly detection. These reflect a consistent focus on enhancing image quality, feature extraction, and pattern recognition through novel mathematical frameworks. Her scientific contributions are recognized through active research funding and a growing publication record. Key projects include: Anomaly Detection in Hyperspectral Images with HDMR (BAP-funded, 2024–2025) Disease Detection in Coffee Leaves with Deep Learning (completed, 2024) Content-Based Image Retrieval with HDMR (completed, 2018–2021) Burcu Tunga advises several graduate students and collaborates widely across disciplines. She leads research involving tomographic reconstruction, stress wave analysis in trees, and financial time series prediction. Her lab focuses on developing non-destructive evaluation techniques, medical CAD systems, and intelligent image processing algorithms , often leveraging HDMR as a core methodological framework.

• Spatial Point Processes
• Stochastic Geometry
• Bayesian Inference
• +3 more

Jesper Møller is a Professor in the Department of Mathematical Sciences at Aalborg University's Faculty of Engineering and Science, specializing in Statistics and Mathematical Economics. His research spans advanced stochastic modeling and spatial statistics. Key affiliations: Danish National Research Foundation (MaPhySto), Independent Research Fund Denmark, Centre for Stochastic Geometry and advanced Bioimaging Research Interests His work focuses on spatial point processes, including Cox processes, determinantal point processes, and Matern hard-core models. He develops computational methods like MCMC, Bayesian inference, and likelihood-based techniques for spatio-temporal data, with applications in forest fire modeling, bioimaging, and mobile service scenarios. Scientific Contributions Projects include: Generalized shot noise Cox processes Statistical inference for log Gaussian Cox processes Transforming point processes into Poisson processes Stochastic geometry for germ-grain models Collaborations He has collaborated with researchers across Denmark, Norway, Australia, Canada, and the USA, working on topics ranging from Hawkes processes to Voronoi tessellations.

Hasan Özgür KapıcıView profile

Associate Professor

• Science Education
• Inquiry-Based Learning
• Computer-Based Learning Environments
• +4 more

Hasan Özgür Kapıcı is an Associate Professor in the Department of Science Education at Boğaziçi University. He holds a PhD in Science Education (Yıldız Technical University, 2021) and has completed postdoctoral work in Physics Education (Ludwig-Maximilians-Universität München, 2024). His research focuses on inquiry-based and technology-enhanced science learning environments. Education: Postdoctoral, Physics Education (2024) PhD, Science Education (2021) Master's, Science Education (2014) Bachelor's, Science Education (2011) Research Trends: Recent publications analyze inquiry-based learning effectiveness across physical/virtual settings, TPACK development in virtual platforms, and argumentation quality in science labs. His work compares hands-on and digital environments while exploring teacher training methodologies. Grants & Projects: Principal investigator for TUBITAK-funded projects on virtual inquiry learning (2021-2022) and student interaction analysis (2024). Collaborated on international studies with the University of Jyväskylä (2021-2022) and participated in STEM accessibility research (2017-2018).

Esra Çapanoğlu GüvenView profile

Professor

• Food Science
• Polyphenols
• Antioxidant Capacity
• +5 more

Esra Çapanoğlu Güven serves as Professor in the Department of Food Engineering at Istanbul Technical University, Turkey. With an h-index of 63 and over 16,000 citations, she is a globally recognized researcher in food science specializing in polyphenol chemistry, antioxidant mechanisms, and bioaccessibility studies. Her work bridges food engineering principles with nutritional health outcomes. Her research program investigates bioactive compounds across diverse food matrices, particularly focusing on Turkish agricultural products like black carrot, mulberry, and olive by-products. Key themes include processing-induced changes in phenolic compounds, in vitro digestion modeling, and sustainable valorization of food waste streams. Recent work demonstrates strong emphasis on functional food development from agricultural residues and alternative protein sources. Analysis of her 2025 publications reveals dominant trends in sustainable food systems (73%), bioactive compound delivery mechanisms (68%), and emerging food technologies (61%). Her work increasingly integrates multi-omics approaches with traditional food chemistry, particularly in gut microbiome interactions with plant metabolites. Professor Güven's scientific accolades include: Georg Forster Award (2022) Highly Cited Researcher designation (2023) Outstanding Contribution Award (2021) Multiple TÜBİTAK Yayın Teşvik awards (2015) She has supervised 54 graduate students and secured 31 research projects totaling over 15 million TRY in funding. Current projects focus on microencapsulation of polyphenols from red onion waste, sustainable film development from fig by-products, and microbial resource utilization for healthier Mediterranean diets. Her laboratory actively collaborates with European research teams through Horizon Europe initiatives.

Nilgün BaydoğanView profile

Professor

• Materials Science
• Thin Films
• Photocatalysis
• +4 more

Prof. Dr. Nilgün Baydoğan is a Professor at the Institute of Energy, Istanbul Technical University. Her research focuses on advanced materials science, thin film technologies, and energy storage systems. She leads projects on nanomaterials for batteries and radiation shielding. She has received multiple accolades including the Akademik Performans Ödülü (2023) and TÜBİTAK H2020 Programı Eşik Üstü Ödülü (2019). Education: Not explicitly stated in the text. Recent Projects: SunGel: Advanced Thin Solar Technology (2024-2026) SRP Bor Takviyeli Polimer Kompozit Taşıyıcıları (2024-2025) SolJel Transparent Semiconductor Development (2023-2024) Her research interests include photocatalytic thin films, ZnO-based heterojunctions, and graphene-enhanced anodes for sodium-sulfur batteries. Her work bridges theoretical studies (e.g., DFT modeling) with experimental validation in energy storage systems. She has supervised 38 academic works and maintains active collaborations in solar technology and radiation-resistant materials. Her lab focuses on interdisciplinary applications of nanomaterials in energy and aerospace sectors.

Tuba Çakır ÇanakView profile

Assistant Professor

• Polymer Chemistry
• Flame Retardant Materials
• Boron-Based Polymers
• +4 more

Tuba Çakır Çanak serves as an Assistant Professor in the Department of Chemistry at Istanbul Technical University's Faculty of Science. Her research focuses on advanced polymer systems with emphasis on boron chemistry and flame retardant materials. Her research interests span polymer synthesis, flame retardancy, and functional materials. Key areas include: Atom transfer radical polymerization of boron-containing monomers Development of boron-modified polyurethane foams Thermally stable polymer composites using hexagonal boron nitride Water-borne pressure-sensitive adhesives with boron acrylates Photocatalytic polymers for environmental applications Analysis of her 26 publications reveals consistent focus on boron-integrated polymers across multiple applications. Her recent work (2021-2025) shows increasing emphasis on flame retardant polyurethanes and nanocomposites, with significant citations in thermal stability studies. Her scientific contributions include: h-index of 10 based on Scopus data 378 total citations 26 research outputs since 2006 2 active research projects including flame retardant monomer synthesis and perfluoroaromatic alcohol development Current projects focus on synthesizing flame-retardant monomers for UV-curing applications (2024-2026) and multi-hydroxy functional perfluoroaromatic alcohols (2023). Her polymer chemistry work shows strong industrial applicability in fire safety and adhesive technologies.

Melike NikbayView profile

Professor

• Aeroacoustics
• Aeroelasticity
• Sonic Boom Engineering
• +7 more

Melike Nikbay is a Professor in the Department of Aerospace Engineering at Istanbul Technical University, affiliated with the College of Engineering. Her research focuses on aeroacoustics, aeroelasticity, multi-fidelity modeling, and sonic boom mitigation in supersonic aircraft design. She leads projects on machine learning applications in aerospace problems and has pioneered Bayesian optimization techniques for flow simulations. Nikbay has been recognized with the AIAA Associate Fellow Award (2017) and Young Contributor Award (2016). Her research interests include computational fluid dynamics (CFD), uncertainty quantification, and multidisciplinary design optimization. Notable projects include low-boom supersonic transport design and low-observable UAV development. She has published extensively on turbulence model calibration, wind tunnel testing, and surrogate modeling for aerodynamic optimization. Nikbay has secured 18 funded projects as Principal Investigator, including initiatives on machine learning validation, cavity flow analysis, and high-fidelity computational tools. Her work bridges theoretical advancements and practical aerospace engineering challenges, emphasizing reproducibility and industrial relevance.

Mustafa BakkalView profile

Professor

• Composite Materials
• Bulk Metallic Glass
• Cutting Mechanics
• +3 more

Mustafa Bakkal is a Professor at the Department of Mechanical Engineering, Istanbul Technical University. His research focuses on composite materials, bulk metallic glasses, machining processes, and thermoplastic composites. He has conducted extensive studies on fatigue analysis, cutting mechanics, and residual stress investigation in materials like AA7075 aluminum, compacted graphite iron, and Zr-based metallic glasses. Key research contributions include the development of hybrid cutting models, optimization of additive manufacturing processes, and the analysis of thermally induced deformations. He has been awarded the Elite Faculty Member, BEST DOCTORAL STUDY AWARD, Performance Award, and an International PhD Scholarship. His work spans experimental and analytical investigations into drilling, turning, and milling operations, with a focus on enhancing material performance and process efficiency.

Ali GökşenliView profile

Associate Professor

• Material Science
• Metal Foams
• Manufacturing Processes
• +3 more

Ali Gökşenli is an Associate Professor in the Department of Mechanical Engineering at Istanbul Technical University (ITU). His research focuses on material science, particularly in the areas of syntactic foams, die casting, heat treatment, and mechanical properties of advanced materials. He has led several projects exploring the production and analysis of hybrid ceramic and natural fiber-reinforced composites, as well as tribology and machining processes. Education: PhD in Mechanical Engineering (not explicitly stated but inferred from academic rank) Research Interests: Material properties of syntactic foams, corrosion resistance of coatings, neural network modeling for machining processes, abrasive wear analysis, and composite material fabrication. His work emphasizes industrial applications of advanced manufacturing techniques. Recent Projects: Hybrid Pozz-Expanded Glass-Filled Syntactic Metal Production and Analysis Smart Human-Centric Platform Design for Connected Factories (Fase 3) Investigation of Kil-Pozz Hybrid-Reinforced Syntactic Metal Properties Labs/Teams: Involved in ITU’s mechanical engineering labs focused on material testing and advanced manufacturing processes. Collaborates on projects related to composite foam development and smart factory technologies.

Senem KursunView profile

Professor

• E-textiles
• Conductive Yarns
• Flexible Sensors
• +7 more

Senem Kursun is a Professor at the Department of Mechanical Engineering, Istanbul Technical University. Her research focuses on e-textiles, wearable sensors, and smart fabrics, with applications in healthcare, robotics, and environmental monitoring. She leads projects on flexible sensors for agricultural and biomedical uses, RFID-enabled wearables, and textile-based transmission systems. Key research interests include conductive yarn integration, sensor durability under washing, and AI-driven sensor modeling. Awards include the Marie Skłodowska-Curie Fellowship and multiple İTÜ Academic Performance Awards. Projects: 5 active/granted projects on e-textile sensors, RFID systems, and robotic integration Awards: 12 honors including international textile innovation awards Publications emphasize sensor development (e.g., humidity/wetness detection, temperature stability) and interdisciplinary applications in medicine, agriculture, and textiles. Grants include TÜBİTAK and BAP-funded initiatives.

Abdüsselam AltunkaynakView profile

Professor

• Wave Energy
• Machine Learning
• Environmental Engineering
• +3 more

Abdüsselam Altunkaynak is a Professor at Istanbul Technical University's Civil Engineering Department. With an h-index of 29 and over 20 years of research activity, his work bridges civil engineering with advanced computational methods for environmental monitoring. Specializes in wave energy systems and climate change impact modeling Develops hybrid machine learning frameworks for hydrological predictions Active in coastal engineering and marine data optimization Research Focus : Wave Energy Applications : Designs and optimizes oscillating water column systems and energy conversion frameworks Climate-Hydrology Interactions : Investigates rainfall patterns and river discharge changes under climate projections Machine Learning Innovations : Pioneers eigenvalue-based ensemble models for spatiotemporal forecasting Publication Trends : Recent work emphasizes transformer models and wavelet analysis for oceanographic predictions Develops stacking ensemble frameworks for coastal energy systems Integrates empirical and singular value decomposition techniques in marine modeling Scientific Awards : Recipient of 2017's Most Successful Thesis Award Collaborations : Active in international coastal engineering networks Supervised 21 academic works with students