Find Academic Supervisors

IŞIL SARAÇ SİVRİKAYAView profile

Lecturer

• Plant Pathology
• Molecular Biology
• Sustainable Agriculture
• +3 more

Dr. IŞIL SARAÇ SİVRİKAYA is a Lecturer at Bingöl University's Faculty of Agriculture, Department of Plant Protection. She holds a PhD in Plant Protection from Ankara University (2023) and has conducted postdoctoral research on molecular biology and agricultural sustainability. Her work spans plant pathology, biological control, and phytochemical applications. Educational Background: PhD in Plant Protection, Ankara University (2017-2023) MSc in Plant Protection, Süleyman Demirel University (2011-2014) BSc in Agricultural Engineering (Plant Protection), Süleyman Demirel University (2007-2011) Research Interests: Molecular analysis of plant stress responses, fungal disease management in crops, antifungal properties of essential oils, and sustainable agricultural practices. She has pioneered studies on barley diseases in eastern Turkey and applied machine learning for disease classification. Key Publications: Focus on plant pathogens (e.g., Fusarium solani), biological control strategies using natural products, and regional agricultural epidemiology. Her work bridges traditional plant pathology with innovative techniques like deep learning. Research Projects: Lead: "In Vitro Stress Analysis of Cherry Rootstocks" (TÜBİTAK, 2010-2013) Co-Investigator: "Cherry Tree Disease Diagnosis via Image Processing" (Bingöl University BAP, 2018-2020) Professional Contributions: Authored chapters on sustainable pest management and participated in international conferences on organic agriculture and environmental science. Active in fieldwork across Turkey and Bosnia-Herzegovina.

• Soil Chemistry
• Carbon Sequestration
• Enhanced Weathering
• +4 more

Mathilde Hagens is an Assistant Professor in Soil Chemistry and Chemical Soil Quality at Wageningen University & Research. She specializes in carbon sequestration, enhanced mineral weathering, and soil biogeochemistry. Her research focuses on mitigating climate change through soil-based carbon capture, with emphasis on biological and chemical processes. She has co-promoted multiple PhD students studying topics such as soil-carbon feedback mechanisms, earthworm-driven weathering, and synergies between biochar and enhanced weathering. Editorial roles: European Journal of Soil Science (2019–2025), Frontiers in Climate (2021–2023) Key collaborations: Projects on carbon-negative agriculture, earthworm-mineral interactions, and silicate weathering potential Research interests include CO2 removal via biogeochemical pathways, alkalinity generation, and sustainable soil management. Her work integrates experimental setups with machine learning to predict climate-soil interactions. She has contributed datasets for studies on sediment cores and mineral weathering efficacy.

• Plant Ecology
• Pest Management
• Agricultural Biology
• +3 more

Bob Douma is an External employee at PE&RC (Plant Research International) within the Crop and Weed Ecology department at Wageningen University & Research. His work focuses on agricultural and ecological systems, particularly plant defense mechanisms, pest management strategies, and biodiversity conservation. He has contributed to over 60 research outputs and actively supervises PhD candidates in projects like intercropping disease suppression and forest pest invasion predictions. Research interests include plant-pest interactions, forest biodiversity dynamics, and innovative technologies for agricultural monitoring (e.g., THz spectroscopy). He collaborates internationally on topics such as pest outbreak delimitation and agroecological pest control. Notable projects involve probabilistic modeling for pest invasion risk assessment and legacy effects of crop diversity. Education: Holds a dr.ir. (Dutch academic title) in agricultural sciences. Grants/Projects: Led projects on forest pest invasions and co-led PhD programs on pest management and disease suppression. Labs/Teams: Affiliated with Wageningen’s PE&RC group, contributing to datasets on plant defense and cover crop legacies.

• Statistical Genetics
• Graphical Models
• Genomics
• +5 more

Pariya Behrouzi is an Assistant Professor in the Department of Mathematical and Statistical Methods - Biometris at Wageningen University & Research. She specializes in developing statistical methodologies with applications in genetics, genomics, and nutrition science. Her research focuses on graphical models, copula theory, and Bayesian approaches to analyze complex biological systems. Behrouzi leads or collaborates on projects such as SignAphy (plant signaling dynamics) and Sensing Age (epigenetic aging studies). She co-developed the netgwas R package for network-based genome-wide association studies. Her work bridges statistical theory with practical applications in agriculture, nutrition, and computational biology. Education: PhD in Statistics (as indicated by title) Key Research Tools: Copula graphical models, spatial statistics, and Bayesian networks Current Projects: Multi-omics network reconstruction, resilience in lettuce crops, and microbiota systems analysis Her recent publications explore topics like meat analogue texture optimization, telomere length dietary correlations, and plant disease resistance mechanisms. Behrouzi advises four PhD candidates and collaborates with international teams on interdisciplinary research.

• Plant Genomics
• Microbial Genomics
• Agricultural Biotechnology
• +3 more

Parva Sharma is a Researcher in the Department of Plant Science & Landscape Architecture at the University of Maryland's College of Agriculture and Natural Resources. Their work focuses on plant and microbial genomics, with a particular emphasis on crop improvement, wheat genetics, and transcriptomic responses to environmental stressors. Current research includes genomic analysis of wheat pangenomes, bacterial pathogenicity mechanisms, and silicon-induced plant defenses. Key research areas include microbial genomics (e.g., Pseudomonas and Enterobacter species), plant defense mechanisms against pathogens, and the application of bioinformatics tools for agricultural innovation. Publications highlight contributions to understanding genetic regulation in wheat, stress responses in microorganisms, and post-harvest biology in crops like cucumber. No scientific awards or grants are explicitly mentioned in the provided information. Parva's research is supported by collaborations within the College of Agriculture and Natural Resources, focusing on translating genomic insights into practical solutions for sustainable agriculture.

Dimitrios D. PiromalisView profile

Associate Professor

• Electronic Embedded Systems
• Autonomous Vehicles
• Internet of Things (IoT)
• +7 more

Dimitrios D. Piromalis is an Associate Professor at the University of West Attica , specifically within the Department of Industrial Design and Production Engineering . He leads the Research Lab of Electronic Automation, Telematics and Cyber-Physical Systems (EATCPS) , focusing on electronic embedded systems for applications in autonomous vehicles, IoT, and cyber-physical systems. With over 120 publications and extensive industry collaboration spanning 25 years, his work bridges academic research and practical engineering solutions. Education : BSc, MSc, and PhD in Electrical and Electronics Engineering. Research Focus : Electronic embedded systems, autonomous vehicles, IoT, cyber-physical systems, digital twins, 3D/4D printing, energy management, and smart agriculture. Recent publications highlight trends in TinyML for smart cities, predictive maintenance integration, hybrid energy storage for EVs, and digital twin applications across agriculture and automotive sectors. His work also extends to emergency communication systems, biomedical sensors, and blockchain-enabled energy gateways. Industry Collaboration : Field Application Engineer and Technical Consultant for multinational semiconductor companies. Teaching : Platforms for AI and Python programming, autonomous vehicles and drones.

• Artificial Intelligence
• Sensor Technologies
• Drug Delivery Systems
• +4 more

Professor Amit Kumar-Mishra is affiliated with Halmstad University's Department of Artificial Intelligence and Sensor Technologies. His research spans interdisciplinary areas including AI-driven solutions for precision agriculture, drug delivery systems, cancer biology, and molecular imaging. He has authored over 30 publications in 2024-2025 alone, focusing on topics like pH-responsive nanocarriers for cancer therapy, circular RNA roles in cytokine signaling, and weed management strategies in mustard crops. Notable research contributions include development of deep neural network architectures for sensor technologies, investigation of salt stress adaptations in eggplant, and exploration of proteases for cancer diagnostics. His work integrates machine learning with agricultural challenges, such as real-time weed detection systems and hydroponics automation. Recent studies also explore novel biomarkers for ovarian cancer detection using circulating DNA analysis. Publications demonstrate a strong focus on translational research with applications in both clinical oncology and agricultural productivity. His research bridges computational methods with biological systems, emphasizing cross-disciplinary innovation in healthcare and food security domains.

Tyson OchsnerView profile

Professor

• Soil Physics
• Agricultural Water Management
• Environmental Modeling
• +3 more

Tyson Ochsner is a Regents Professor of Plant and Soil Sciences at Oklahoma State University (OSU). His research focuses on soil physics, soil moisture dynamics, and their applications in agriculture, meteorology, and environmental modeling. He earned his B.S. from OSU in 1998, followed by a M.S. and Ph.D. in Soil Science from Iowa State University (2000, 2003). Prior to his current position, he worked at the USDA Agricultural Research Service in Minnesota (2003–2008). His work emphasizes multi-scale soil moisture monitoring and improving data utilization for sustainable land and water management. Key research interests include soil-plant-atmosphere continuum interactions, drought adaptation, wildfire danger prediction, and sensor network development (e.g., CRONOS, Oklahoma Hydronet). He has pioneered advancements in soil moisture sensor calibration and data integration across scales. His educational contributions include curriculum evaluation and rural scholar programs to bridge academic and agricultural communities. Dr. Ochsner’s recent work highlights innovations in soil moisture mapping, climate change impacts on ecosystems, and agricultural resilience strategies. He has been recognized as a Regents Professor, an honor reflecting his scholarly contributions and institutional impact.

• Precision Agriculture
• Remote Sensing
• Agricultural Engineering
• +4 more

Gambella Filippo is an Associate Professor at the University of Sassari's Agricultural School, Department of Agricultural and Environmental Sciences. His work focuses on precision agriculture, remote sensing technologies, and mechanization of agricultural processes. He specializes in vineyard management, UAS applications, and sustainable farming practices. Research interests include disease detection via computer vision, soil degradation analysis, and the integration of UAV systems for crop monitoring and spraying. He has pioneered studies on biostimulant efficacy using multisensor analysis and developed decision-support systems for resource optimization in viticulture. His publications highlight advancements in precision viticulture, including canopy height modeling, nitrogen content prediction, and invasive species monitoring through satellite imagery. He also explores circular economy models for agricultural waste and Industry 4.0 applications in livestock farming. Notable contributions include the mechanization of saffron harvesting and the optimization of traditional bread production in Sardinia. His work bridges engineering, environmental science, and agronomy, emphasizing sustainability and technological innovation in Mediterranean agriculture.

• Surface Irrigation
• Irrigation Modelling
• Furrow Irrigation
• +3 more

Dr Malcolm Gillies is a Senior Lecturer in Hydraulic Engineering and Irrigation at the School of Agriculture and Environmental Science, University of Southern Queensland . He holds a BEng and PhD from USQ. His expertise spans Surface Irrigation, Irrigation Modelling, Furrow Irrigation, and Hydraulic Engineering . He has held roles including Research Fellow at the National Centre for Engineering in Agriculture and Senior Research Fellow in Hydraulic Engineering. Education: Bachelor of Engineering (BEng) from University of Southern Queensland Doctor of Philosophy (PhD) from University of Southern Queensland Research Focus: Optimization of water use efficiency in agricultural systems Automation and precision technologies in irrigation Hydraulic performance of irrigation systems Development of decision support tools for farmers His work emphasizes automation of furrow irrigation, real-time monitoring systems, and cost-benefit analysis of modern irrigation practices. Recent Research Trends: Over 15 years, his publications focus on advancing automated irrigation control systems, seepage loss mitigation, and improving surface irrigation efficiency in crops like cotton, sugarcane, and pasture. His studies bridge hydraulic engineering principles with practical agricultural applications. Affiliations: Centre for Agricultural Engineering National Centre for Engineering in Agriculture Teaching: Teaches courses including Irrigation Science, Water Resource Engineering, and Advanced Hydraulic Systems.

Laura TateosianView profile

Teaching Professor

• Geospatial Analytics
• Environmental Modeling
• Remote Sensing
• +3 more

Laura Tateosian is an Assoc Teaching Professor at the Center for Geospatial Analytics, North Carolina State University, within the College of Natural Resources. She specializes in geospatial-temporal data visualization and computational methods for environmental analysis. Her research focuses on innovative data representation, including eye-tracking studies for geospatial interaction, open-source database management, and coastal terrain visualization. She has developed graduate courses in geospatial algorithms and programming. Her research interests span geospatial analytics, environmental modeling, and the application of computational methods to address societal challenges such as plant disease pandemics and urban park usage. She has contributed to projects like the Plant Aid Database (PAdb) for predicting disease spread and collaborated with Wake County on geospatial solutions for public infrastructure. Grants : PIPP Phase I ($1M NSF grant): Predictive tools for plant disease pandemics Geo-IDEAs: Wake County geospatial application development Laboratory for Analytic Sciences projects on sensemaking and narrative processing Laura has extensive experience in interdisciplinary projects, including fire management systems for the National Park Service and terrain evolution visualization for climate change studies. Her work bridges computational science with real-world applications in agriculture, ecology, and urban planning.

• AI Drug Discovery
• Biomedical Engineering
• Nanomedicines
• +3 more

Krish Ramadurai is a DPhil student at the University of Oxford, affiliated with St. Catherine’s College and St. Hilda’s College. He is a member of the Multimodal Medical Data Integration & Analysis (MultiMeDIA) Group at the Institute of Biomedical Engineering (IBME). Additionally, he serves as a Partner at AIX Ventures, focusing on AI-enabled healthcare and life sciences investments. His research spans predictive modeling of nanomedicines, Drug Development Digital Twins (D3Ts), and 3D bioprinting with novel biopolymers. Education: Dual master’s degrees in Biology (Harvard University) and Business Administration (Washington University in St. Louis) Bachelor’s degree in Integrative Biology and Economics from the University of Illinois at Urbana-Champaign Research Interests: His work bridges AI-driven drug discovery, biomedical engineering, and precision agriculture. He explores applications of machine learning in healthcare diagnostics (e.g., Clock Drawing Test automation) and agricultural robotics. His contributions include open-source agricultural robotics and bio-based materials for global health challenges. Teaching & Leadership: He has served as a Guest Lecturer at Harvard University, teaching courses on tissue engineering and biomedical product development. He holds advisory roles with Nucleate and the National Venture Capital Association (NVCA), and chairs multiple companies. His thought leadership is featured in outlets like the Wall Street Journal and World Economic Forum.

Hawlader Al-MamunView profile

Research Fellow

• Bioinformatics
• Quantitative Genetics
• Machine Learning
• +4 more

Hawlader Al-Mamun is an Adjunct Research Fellow at the School of Biological Sciences, University of Western Australia, where his work focuses on the intersection of computer science, bioinformatics, and quantitative genetics. His research centers on improving prediction accuracy of commercially important phenotypes in plants and animals, and unraveling complex biological factors through machine learning integration with multi-omic data. Education PhD in Quantitative Genetics from University of New England (2015) MSc in Bioinformatics from Chalmers University of Technology (2007) BSc in Computer Science and Engineering from Khulna University (2022) Research Focus Dr. Al-Mamun's expertise spans computational biology and agricultural genomics with emphasis on: Applying AI/ML to optimize biological challenges Developing computational methods for genomic data analysis Integrating GWAS with gene expression data Leveraging functional knowledge in genomic selection Improving phenotype prediction accuracy in plants/animals His work significantly contributes to Sustainable Development Goals related to food security through advanced genomic approaches. Publication Trends His 2024-2025 publications demonstrate strong focus on plant genomics (particularly Brassica species and legumes), integrating machine learning with genomic data to address agricultural challenges including disease resistance and yield prediction. Key thematic areas include pangenome construction, feature selection in GWAS, genotype-environment interactions, and multi-omics integration. Professional Activities Dr. Al-Mamun serves as a Visiting Scientist at CSIRO - Agriculture and Food since April 2023. His collaborative network spans multiple international institutions as evidenced by extensive co-authorship on recent publications. His research fingerprint shows significant contributions to Genomics (100%), Disease Resistance (66%), Genome-Wide Association Study (48%), and Brassica research (44%).

Samuel PirononView profile

Lecturer

• macroecology
• global change
• plant diversity and distribution
• +3 more

Dr Samuel Pironon is a Lecturer in Conservation Biology at Queen Mary University of London's School of Biological and Behavioural Sciences, affiliated with the Centre for Biodiversity and Sustainability. His research focuses on macroecological questions related to plant diversity, global change, and human-environment interactions. He leads interdisciplinary projects analyzing large datasets to address biodiversity loss, food security, and climate change impacts. Recent work emphasizes the distribution and conservation of plants used by people, particularly for food and medicine. His research interests include understanding species diversity patterns, ecological niche dynamics, and conservation strategies for plant species under anthropogenic pressures. He collaborates globally on projects such as prioritizing areas for plant conservation, modeling species distributions, and exploring agrobiodiversity resilience. Current grants include a Royal Botanic Gardens-funded initiative on climate-resilient agriculture. Key contributions include mapping the global distribution of plant species used by humans (Science 2024) and developing frameworks for conserving crop wild relatives. His work bridges ecology, computational methods, and policy, aiming to translate scientific insights into actionable conservation solutions.

Michael MannView profile

Associate Professor

• Environmental Geography
• GIS and Remote Sensing
• Agricultural Sustainability
• +3 more

Michael Mann is an Associate Professor of Geography and Director of Graduate Studies at George Washington University, specializing in geospatial analysis, agriculture, and environmental sustainability. His research focuses on fire probability modeling, MERS-CoV ecology, and remote sensing applications. He holds a PhD and MA in Earth & Environment from Boston University and a BA in Economics from the College of Wooster. Dr. Mann's work is supported by grants addressing climate change impacts, agricultural sustainability, and urban development. He teaches courses including GEOG 2137 (Environmental Hazards), GEOG 3106 (GIS), and GEOG 6293 (Programming for Geospatial Applications). As an affiliated faculty member of the Global Food Institute, he contributes to food security research. His research integrates machine learning with geospatial data, producing influential studies on crop phenology monitoring, wildfire risk assessment, and poverty mapping using satellite imagery. He authored the open-access textbook PyGIS , a foundational resource for Python-based geospatial programming. Mann's recent work explores the socioeconomic impacts of climate change through econometric analyses and community-engaged mapping initiatives. His interdisciplinary approach bridges physical geography, remote sensing technology, and policy applications in global development contexts.