Find Academic Supervisors

• Soft Matter Physics
• Polymer Science
• Interface Science
• +5 more

Professor Regine von Klitzing leads the Soft Matter at Interfaces research group at the Institute for Condensed Matter Physics at Technical University of Darmstadt. She serves as Vice Dean of the Department of Physics and is recognized for her pioneering contributions to the physics of complex fluids in soft confinement. Her work bridges physics, chemistry, biology, chemical engineering, and material science through interdisciplinary investigations of interfacial phenomena. Her research focuses on soft matter systems, particularly stimuli-responsive polymer coatings including polyelectrolyte multilayers, polymer brushes, and microgel layers, as well as thin liquid films, foams, and emulsions. She employs advanced characterization techniques such as AFM and scattering methods (neutrons, X-rays, light) to investigate these complex systems. Her group covers the entire research spectrum from synthesis of polymer systems to designing novel hybrid materials and developing specialized sample environments for both laboratory and large-scale facilities. Analysis of her recent publications reveals strong trends in interfacial phenomena, with particular emphasis on microgel systems, nanoparticle-polymer interactions, and advanced characterization techniques. Her work spans fundamental soft matter physics while addressing practical applications in materials science and sustainability. The research shows increasing integration of multiple characterization techniques to provide comprehensive understanding of complex systems. Gentner-Kastler Prize 2025 from the German and French Physical Societies for groundbreaking contributions to complex fluids physics, German-French cooperation, and mentoring ECIS Solvay Award 2023 for pioneering studies on foams stabilized with soft particles and polymers LEAF Bronze Certificate for sustainable laboratory practices Multiple student poster awards at prestigious conferences including DPG Spring-Meeting and Microgels2024 Professor von Klitzing actively mentors students at all levels, with several of her doctoral and master's students receiving recognition for their research. Her group maintains strong laboratory infrastructure with specialized equipment for investigating soft matter systems, including advanced microscopy and scattering capabilities. The research combines fundamental investigations with practical applications, particularly in sustainable materials development. The Soft Matter at Interfaces group operates state-of-the-art laboratories with specialized equipment for investigating interfacial phenomena. The team develops custom sample environments for in-house use and large-scale facilities, demonstrating technical innovation alongside scientific discovery. Their work on sustainable laboratory practices earned them the LEAF Bronze Certificate, reflecting commitment to environmental responsibility in research.

Burcu ÇARKLI YAVUZView profile

Assistant Professor

• Data Mining
• Bioinformatics
• Artificial Intelligence
• +3 more

Burcu ÇARKLI YAVUZ serves as an Assistant Professor at Sakarya University's Faculty of Computer and Information Sciences, Department of Information Systems Engineering. Her academic career spans over a decade with continuous contributions since 2013, including current administrative roles as Dean's Assistant (2023-2024) and Department Vice Chair (2021-2023). Education: PhD in Computer and Information Engineering (2019), Sakarya University - Thesis: 'Hemoglobin Protein Secondary Structure Prediction by Improved Clonal Selection Algorithm' MS in Computer and Information Engineering (2010), Sakarya University - Thesis: 'A Data Mining Application with Apriori Algorithm in the Healthcare Sector' BSc in Mathematics-Computer Programming (2005), Istanbul Cultural University Her research integrates artificial intelligence with critical applications across healthcare and renewable energy. Specializing in data mining and bioinformatics, she develops novel algorithms for protein structure prediction, medical diagnostics, and photovoltaic system optimization. Current work focuses on Marine Predators Algorithm applications for perinatal mental health screening and adaptive MPPT techniques for solar energy systems, demonstrating interdisciplinary impact from biomedical engineering to climate change mitigation. Publication analysis reveals three dominant research thrusts: (1) AI-driven healthcare solutions (depression/anxiety detection, diabetes diagnosis), (2) Photovoltaic optimization (MPPT algorithms, flicker analysis), and (3) Bioinformatics (protein structure prediction using clonal selection). Her work consistently bridges theoretical algorithm development with practical implementations, evidenced by industry collaborations like the 2023 'Electric Vehicle Regulation-Compliant Sound Alert Systems' project. Teaching responsibilities include graduate and undergraduate courses in Deep Learning, Python Programming, Operations Research, and Introduction to AI. She has supervised numerous graduation projects and taught specialized courses like 'Big Data Technologies' in collaboration with Havelsan. Her editorial service for IEEE Access (2018-2020) and conference organization roles demonstrate academic leadership beyond teaching and research.

MUSA BUTEView profile

Assistant Professor

• Electromagnetic Engineering
• Microwave Technology
• Antenna Technologies
• +3 more

Musa Bute is an Assistant Professor at the Faculty of Engineering , Gaziantep University , Turkey. He holds a doctorate in Electrical and Electronics Engineering from the same university (2018) and has been affiliated with the Electromagnetic Fields and Microwave Technology department since 2019. Doctorate : 2013–2018, Gaziantep University, Electrical & Electronics Engineering Master's : 2011–2013, Gaziantep University Bachelor's : 2006–2011, Gaziantep University His research focuses on electromagnetic property measurement and metamaterials , particularly for applications in civil engineering (e.g., alkali-silica reaction detection) and microwave technology . Recent publications emphasize chiral metamaterials and calibration-free measurement techniques . He has presented at international conferences including: SBMO/IEEE conferences (Brazil, 2015-2017) EMC Türkiye (Ankara, 2017) ISCAE (UK, 2016)

İLKAY SİBEL KERVANCIView profile

Assistant Professor

• Computer Science
• Artificial Intelligence
• Machine Learning
• +5 more

İLKAY SİBEL KERVANCI serves as an Assistant Professor in the Department of Computer Engineering at Gaziantep University's Faculty of Engineering. Her academic career spans teaching and research in artificial intelligence, machine learning, and data mining with practical applications across finance and bioinformatics sectors. PhD in Computer Engineering, Çukurova University (2023) MSc in Informatics, Kahramanmaraş Sütçü İmam University (2017) BSc in Computer Engineering, Kocaeli University (2004) Her research centers on machine learning applications for cryptocurrency price forecasting using LSTM and GRU networks, neutrosophic logic implementations in regression problems, and drug-target interaction prediction. Recent work demonstrates expertise in hyperparameter optimization, time series analysis, and handling imbalanced datasets through hybrid feature reduction techniques. She actively contributes to advancing neural network architectures for financial and biomedical challenges. Publication trends reveal consistent focus on Bitcoin price prediction (6 publications since 2017), expanding into drug-target interaction modeling and neutrosophic applications. Her work bridges theoretical machine learning with industrial applications in cement manufacturing, stock markets, and pharmaceutical research through recurrent neural networks and optimization frameworks. Dr. Kervanci teaches graduate courses including Introduction to Artificial Intelligence Methods and Introduction to Data Mining Methods, alongside undergraduate courses such as Artificial Intelligence in Engineering and Discrete Mathematics, demonstrating commitment to computational education across academic levels.

Roy CerquetiView profile

Professor

• Quantitative Methods for Economics and Finance
• Data Science
• Complex Networks Analysis
• +5 more

Roy Cerqueti is Full Professor of Statistics at Sapienza University of Rome where he serves as Director of the Doctoral School in Economics and Social Sciences. He is affiliated with the Department of Social and Economic Sciences and maintains a research affiliation with GRANEM at the University of Angers, France. Previously, he held a part-time professorship at London South Bank University, UK. His research focuses on quantitative methods for economics and finance, data science, and complexity theory. His work spans complex networks analysis, statistical modeling, and applications to financial systems, social dynamics, and policy evaluation. Recent publications demonstrate expertise in Benford's Law applications, cryptocurrency market analysis, social media analytics, and systemic risk assessment in financial networks. Cerqueti's publication record shows strong trends in network science applications to economic systems, with increasing focus on sustainability, social media analytics, and financial market stability. His 2024-2025 work integrates advanced statistical techniques including Random Matrix Theory, fuzzy clustering methods, and multilayer network approaches to analyze complex economic phenomena. He has served as a review panel expert for COST Action proposals (2017-2019) under appointment by the Italian Ministry of Education, University and Research. Cerqueti holds multiple editorial positions and regularly serves as referee for scientific journals and institutions. His teaching portfolio includes courses in International Statistics and Quantitative Methods for Economics at the undergraduate level. As Director of the Doctoral School, he oversees advanced research training in Economics and Social Sciences. He has delivered invited seminars and courses at prestigious international universities, demonstrating global academic engagement. Cerqueti leads research projects including "Analysis of rankings and preference data: new methods and applications" and has participated in numerous national and international research initiatives as Principal Investigator. His lab work focuses on network-based approaches to economic and social systems, with particular emphasis on computational methods for complex data analysis.

Hansjörg DilgerView profile

Professor

• Medical Anthropology
• Anthropology of Religion and Religious Diversity
• Gender and Masculinities
• +6 more

Hansjörg Dilger is Professor of Social and Cultural Anthropology at Freie Universität Berlin, where he serves as Director of the Collaborative Research Centre 1171 'Affective Societies,' Deputy Head of the Institute of Social and Cultural Anthropology, and Head of the Research Area Medical Anthropology I Global Health. He is also Co-Coordinator of the DFG-Funded Scientific Network 'Public Anthropology.' His academic career spans positions at the University of Florida and extensive research in Eastern and Southern Africa, particularly Tanzania and South Africa. Professor of Social and Cultural Anthropology (since 2013) Director of Collaborative Research Centre 1171 'Affective Societies' (since 2022) Co-Coordinator of DFG Network 'Public Anthropology' (since 2022) Former Vice Dean for Research at the Department of Political and Social Sciences (2019-2021) Former President of the German Anthropological Association (2015-2019) Dilger's research focuses on how people negotiate notions of a 'good life' during social, economic, and political transformations. His work integrates critical medical anthropology, anthropology of religion, ethics and morality, political anthropology, and anthropology of affect and emotion. He examines the multilayered conflicts and emerging relations involved in social differentiation within urbanization, mediatization, and global connectivity, with particular attention to postcolonial inequalities. His recent publications reveal a strong trajectory toward decolonial approaches, affective studies, and critical examinations of global health. The 15 most recent articles show increasing interdisciplinary engagement with museum studies, collaborative knowledge production, and the intersection of care, migration, and racialization in health contexts. His work consistently addresses power dynamics in knowledge production and the ethical responsibilities of anthropological research. Margherita-von-Brentano award for 'Female Refugees in Berlin' research collective (2017) Senior Fellow of Bayreuth International Graduate School of African Studies (2010-13) Multiple DFG-funded research projects on religion, health, and migration Extensive editorial work including special issues on medical anthropology and religion Dilger has supervised numerous PhD students, with completed projects examining religious conversion in Uganda, zakat distribution in Nigeria, gender in Pakistan, and violence in the Philippines. Current supervision includes research on education in Egypt, Gülen movement housing, schooling in Kenya, Islamic medicine in Turkey, and religious spatial contestation in Nigeria. His recent work shows growing engagement with decolonial debates around ethnographic collections and collaborative research approaches.

Vera van NoortView profile

Professor

• Computational biology
• Bioinformatics
• Systems biology
• +6 more

Prof. Vera van Noort is a faculty member at the Faculty of Bioscience Engineering and leads the Computational Systems Biology group at KU Leuven . Her research focuses on integrating multi-omics data , bioinformatics , and computational modeling to unravel molecular mechanisms in microbial systems and protein interactions . She chairs the Leuven Centre for Biosciences, Bioengineering and Biotechnology and contributes to KU Leuven One Health initiatives. PhD in Molecular Biology (2007) - Radboud University Nijmegen Professor at KU Leuven since 2013 Her research explores: Phage-host interactions : Analyzing lysine acetylation and post-translational modifications during phage infections in Pseudomonas aeruginosa Machine learning applications : Developing tools like SCARAP for comparative genomics and FLAMS for PTM analysis Therapeutic phage cocktail design : Through projects like PHAGEFORCE and EnzyMares Her recent articles demonstrate expertise in: Multi-omics integration for gene prioritization (2025) Structural bioinformatics of phage proteins (2025) Microbial acetylome analysis (2024) Computational enzyme discovery (2023) Teaching responsibilities include courses in: Bioinformatics Programming for Bioscience Engineers Omics Techniques

Haluk BingölView profile

Professor

• Complex Networks
• Evolutionary Game Theory
• Social Network Analysis
• +5 more

Prof. Haluk Bingöl serves as a Professor at Yeditepe University's Faculty of Computer and Information Sciences, Department of Computer Science and Information Technologies since 2018. Previously, he held academic positions at Boğaziçi University from 2001 to 2018, progressing from Assistant Professor to full Professor in the Department of Computer Engineering. His educational background includes a PhD (1987) and MS (1985) in Electrical and Computer Engineering from Syracuse University, with doctoral research on Boolean Comparison by Simulation , and a BS in Electrical and Electronics Engineering from Middle East Technical University (1982). His research centers on Complex Networks and Evolutionary Game Theory , with significant contributions to understanding cooperation dynamics in the Iterated Prisoner's Dilemma, community detection algorithms, and epidemic modeling in urban networks. His work integrates computational modeling with real-world applications in social dynamics and information systems, often employing agent-based simulations to explore emergent phenomena. Recent publications demonstrate consistent focus on game-theoretic models of cooperation, network structure analysis, and applications in social media and epidemiology. He maintains strong publication output in high-impact journals including Physical Review E , Advances in Complex Systems , and Journal of Theoretical Biology , with increasing interdisciplinary reach into mental health informatics and computational linguistics. Multiple Publication Incentive Awards from Boğaziçi University and TÜBİTAK Interpro IT Award for industry-academia collaboration Best Poster Award at COST MP0801 United Nations Fellowship (1984-1985) and TEV International Scholarship National competition awards for student thesis supervision Prof. Bingöl has supervised 23 graduate students across master's and PhD programs, with research spanning community detection, evolutionary dynamics, and attention economics. His grant portfolio includes leadership of the TURKCELL m-learning Project ($130,000), participation in EU-funded initiatives (EUMedGrid, ASSYST), and COST actions (TD1210, MP0801) focusing on complex systems research infrastructure. He actively contributes to COST actions and collaborative networks, developing methodologies for complex systems analysis while mentoring next-generation researchers through structured academic programs and industry partnerships.

• Space Physics
• Atmospheric Physics
• Cosmic Dust
• +7 more

Ingrid Brigitte Mann is a Professor at the Department of Physics and Technology, UiT The Arctic University of Norway. Her research spans space physics, atmospheric physics, and dusty plasma phenomena, with a focus on cosmic dust, meteoroids, and polar atmospheric interactions. Current Projects: Cosmic dust injection into the upper Earth atmosphere MXD2 rocket project to study the mesosphere EISCAT Research infrastructure project Completed Projects: Mesospheric Dust Project Dust in the Heliosphere Project EISCAT_3D (Research Infrastructure) Her recent publications highlight cosmic dust dynamics, PMSE analysis, and Solar Orbiter/Parker Solar Probe missions. Techniques include deep learning, radar measurements, and computational modeling. She teaches courses such as FYS-2000 Quantum Mechanics and FYS-2019 Introduction to Space Physics, and leads student rocket projects like G-Chaser.

Sue Hung-JueView profile

Professor

• Nanotechnology
• Polymer Science
• Materials Engineering
• +7 more

Sue Hung-Jue is a Professor in the Department of Materials Science and Engineering at Texas A&M University , and serves as Director of the Polymer Technology Consortia . Her work bridges academic research and industrial innovation in polymer nanotechnology and surface mechanics. Ph.D., Macromolecular Science and Engineering Program, University of Michigan, Ann Arbor – 1988 M.S.E., Mechanical Engineering, University of Michigan, Ann Arbor – 1987 M.S.E., Materials Science and Engineering, University of Michigan, Ann Arbor – 1985 B.E., Chemical Engineering, Chung Yuan Christian University, Chung-Li, Taiwan – 1981 Sue’s research focuses on dispersion and assembly of nanomaterials for nanotechnology, energy, and microelectronics applications. She investigates surface damage phenomena in polymers and develops strategies for fracture, toughening, and strengthening of polymers, blends, composites, and nanocomposites. The 15 most recent publications highlight interdisciplinary trends in polymer scratch resistance , nanocomposite design (with MoS2, ZnO, carbon nanotubes), tribology , and machine learning-driven materials analysis . Key areas include microelectronics packaging, surface erosion, and mechanical property optimization. Scientific Awards: Cooperative Research Award, American Chemical Society – 2024 International Researcher Award, Society of Polymer Science-Japan – 2023 Outstanding Alumni Award, Chung-Yuan Christian University – 2022 Patent and Innovations of the Year Award, Texas A&M University – 2019 Sue’s work combines academic rigor with industry collaboration through the Polymer Technology Consortia , delivering fundamental insights for product development in global and national polymer industries.

• Silicon Photonics
• Microwave Photonics
• Optical Interconnection
• +2 more

Kiyoto Takahata is an Associate Professor at the Faculty of Science and Engineering, Graduate School of Information, Production and Systems. His research focuses on silicon photonics, optical semiconductor devices, and high-speed optoelectronic integration. Primary research areas include silicon photonics, microwave photonics, and optical interconnection Specializes in electro-absorption modulator integrated distributed feedback lasers Developed membrane lasers and modulators on silicon platforms Recent publications highlight advancements in high-bandwidth photonic devices, with a focus on integrated optics for 100Gb/s+ data transmission. His work includes: Microring resonators for photonic computing MMI couplers for all-optical logic Membrane laser-modulator integration on Si Dispersion-tolerant modulation techniques He has contributed to: Flip-chip interconnection methods Low-voltage operation of optoelectronic devices Multi-lane photonic modules

Yanshuang LiView profile

Associate Professor

• Financial Econometrics
• Risk Spillovers
• Stock Markets
• +5 more

Yanshuang Li is an Associate Professor in the Department of Finance at Dongbei University of Finance and Economics in Dalian, China. Her research examines risk transmission mechanisms in global financial systems using advanced econometric frameworks. Research Focus: Dr. Li's work spans: Financial econometrics and volatility modeling Cross-market risk spillovers during crises (pandemics, conflicts, climate policy shifts) Network analysis of interdependencies between commodities, equities, and emerging assets Behavioral aspects of market panic and investor sentiment Her publications demonstrate consistent focus on how systemic shocks propagate through stock, commodity, and renewable energy markets. Publication Trends: Recent articles (2023-2025) reveal: Growing emphasis on climate economics and AI-driven market analysis Methodological innovation in quantile-based connectedness frameworks Comparative studies of conventional and Islamic financial systems Empirical investigations into vaccination policies, sanctions, and green energy transitions

• Information Security and Cryptology
• Artificial Intelligence
• Computer Software
• +3 more

Mehmet Ali YALÇINKAYA is a full-time Lecturer in the Department of Computer Engineering at Ahi Evran University's Faculty of Engineering and Architecture. His academic journey includes a PhD (2020) and MSc (2015) in Computer Engineering from Süleyman Demirel University, and a BSc in Electronics and Computer Education (2012). PhD: Computer Engineering, Süleyman Demirel University (2020) MSc: Computer Engineering, Süleyman Demirel University (2015) BSc: Electronics and Computer Education, Süleyman Demirel University (2012) His research focuses on Information Security and Cryptology , Artificial Intelligence , Computer Software , and Cybersecurity . Recent work includes phishing detection systems, deep learning applications for security, and AI-driven educational tools. Key article trends: 2025: NLP for violence detection in healthcare 2024: Multilayer security frameworks, AI in education, and biometric authentication 2023: Phishing defense mechanisms and agricultural pest detection He has supervised four Master's theses and collaborated with 48 researchers. Notable projects include a BCI-supported deep learning model for motor/facial analysis (2025-2027) and AI-powered educational systems for primary schools.

Shunyuan XiaoView profile

Professor

• Plant immunity
• Powdery mildew pathogenesis
• Molecular mechanisms of plant resistance against fungal pathogens
• +5 more

Dr. Shunyuan Xiao is a Professor at the Institute for Bioscience and Biotechnology Research (IBBR) and the Department of Plant Sciences and Landscape Architecture, College of Agriculture and Natural Resources, University of Maryland College Park. He also holds an affiliated position as Associate Professor in the Department of Cell Biology and Molecular Genetics at the University of Maryland. Dr. Xiao received his Bachelor's, Master's, and Doctoral degrees in Plant Genetics from Huazhong Agricultural University, China. After completing postdoctoral research at the University of Florida and the University of East Anglia, UK, he joined the University of Maryland Biotechnology Institute as an Assistant Professor in 2003. He transitioned to the University of Maryland College Park as an Associate Professor in 2010 and was promoted to Professor in 2017. Dr. Xiao's research focuses on elucidating the molecular mechanisms of plant resistance against fungal pathogens, particularly powdery mildew. His laboratory investigates: Host immunity mediated by RPW8 at the extra-haustorial membrane (EHM)—the host-pathogen interface EHM biogenesis and role in plant-fungal interaction Genetic and molecular basis of non-host resistance Pathogenicity mechanisms of powdery mildew fungi Analysis of Dr. Xiao's recent publications reveals a strong emphasis on plant-pathogen interactions, particularly focusing on powdery mildew resistance mechanisms. His work spans multiple plant species including Arabidopsis, grapevine, wheat, and citrus, with significant contributions to understanding RPW8-mediated immunity, non-host resistance mechanisms, and arbuscular mycorrhizal symbiosis. Recent publications show increasing application of CRISPR technology for both basic research and crop improvement. Dr. Xiao has received research funding from multiple sources including NSF (IOS-2224203), USDA (NIFA-2022-08786), and MAES (MD-PSLA-253688). His laboratory has produced numerous patents related to plant disease resistance mechanisms. Dr. Xiao teaches several courses including PLSC125 (Feeding Nine Billion), PLSC420 (Principles of Plant Pathology), and PLSC489W/689W (Plant-Microbe Associations). He has mentored numerous graduate students, postdoctoral researchers, and undergraduate students who have gone on to successful careers in plant science. The Xiao Laboratory maintains active research programs focused on understanding plant immunity at the molecular level and applying this knowledge to engineer disease-resistant crops. Current work emphasizes CRISPR-based approaches to improve both plant immunity and yield characteristics simultaneously.

Omid SharifahmadianView profile

Researcher

• Plasma Deposition Techniques
• Thin Film Analysis
• Tribology
• +3 more

Omid Sharifahmadian is a Researcher at the Department of Coating Processes within the Joint Glass Centre (Vitrum Laugaricio - VILA) at Alexander Dubček University of Trenčín, Slovakia. His work focuses on advanced coating technologies and surface engineering with applications in biomedical and industrial contexts. His educational background includes: Ph.D. in Materials Engineering from Amirkabir University of Technology (Tehran Polytechnic), Iran (2019) M.S. in Materials Engineering from Isfahan University of Technology, Iran (2012) B.S. in Extractive Metallurgy Engineering from Isfahan University of Technology, Iran (2009) Visiting Scholar positions at The University of Sydney (2017), CEITEC in Brno (2021-2022), and ZOZ GmbH in Germany (2024) Dr. Sharifahmadian's research spans multiple areas of surface engineering and materials science. His primary interests include plasma deposition techniques (PECVD & PVD), thin film and surface analysis, tribology, bio surface engineering, electrophoretic deposition, and thermal spray coatings. His work often focuses on developing advanced coatings with specific properties such as hydrophobicity, wear resistance, and antibacterial characteristics. Much of his recent research has centered on diamond-like carbon (DLC) coatings with various doping elements to enhance their tribological and functional properties for applications ranging from biomedical implants to industrial glass substrates. His publication record demonstrates a consistent focus on surface modification technologies, with particular emphasis on diamond-like carbon coatings and plasma polymers. Over the past five years, his research has evolved from fundamental studies of DLC coatings to more applied research on functionalized surfaces for specific applications like orthopedic implants and glass substrates. There's a clear trend toward increasingly interdisciplinary work, combining materials science with biomedical applications and industrial processing techniques. His scientific achievements include: Top thesis award at Amirkabir University of Technology, Iran (2019) Top 5% ranked student in B.Sc. at Isfahan University of Technology Top 10% ranked student in M.Sc. at Isfahan University of Technology Dr. Sharifahmadian serves as a supervisor for PhD students and has been actively involved in major international research projects including the CLiCAM project (Horizon-Widera-2022-Talents-03) and the FunGlass project (HORIZON 2020). His research has been supported by grants from CEGLASS project for work at CEITEC in Brno, Czech Republic. He also serves as a reviewer and editor for international scientific journals, demonstrating his standing in the academic community. He is affiliated with the Slovak Glass Society and participates in various research networks including the FunGlass Centre for Functional and Surface Functionalized Glass, which connects him with partner institutions across Europe including Friedrich-Alexander Universität Erlangen-Nürnberg, Friedrich-Schiller-Universität Jena, Consejo Superior de Investigaciones Científicas, and Università degli Studi di Padova.