Lukas Landler is a Senior Lecturer at the Institute of Zoology, Department of Ecosystem Management, Climate and Biodiversity, University of Natural Resources and Life Sciences Vienna. His research focuses on amphibian ecology , animal migration , magnetic reception , and urban wildlife conservation . Supervised over 20 university theses on topics including green toad populations, wild bee telemetry, and eDNA analysis Developed innovative methods for automated anuran call detection and multisensor biologging collars Active in citizen science projects like AmphiBiom for urban habitat restoration Research Trends : Recent publications emphasize urban ecology (green toad habitat preferences), telemetry technology (wild bee and mammal tracking), and conservation biology (mercury contamination studies). His work bridges biophysics , ecotoxicology , and spatial ecology through interdisciplinary approaches. Community Contributions : Editor-in-Chief of Herpetozoa (2024) Editorial Board Member (since 2020) Peer reviewer for 14 journals including Ecology, Journal of Herpetology, and PLoS One Active member of Austrian Neuroscience Association and Royal Institute of Navigation
Javid Bayandor serves as Associate Professor in the Department of Mechanical and Aerospace Engineering at the University at Buffalo's School of Engineering and Applied Sciences. His research bridges theoretical aerospace engineering with practical applications in space exploration and bioinspired systems. Education: Postdoctoral Research in Aerospace Structures, The Royal Melbourne Institute of Technology (2000-2001) PhD in Aerospace Engineering, The Royal Melbourne Institute of Technology (2000) His research portfolio spans eight core areas: space mission design, collision dynamics, aerospace conceptualization, space physics, ballistics, bioinspired robotics, advanced structures, and fluid-structure interactions. This interdisciplinary approach integrates computational modeling with experimental validation to solve complex engineering problems across aerospace and biological domains. Current projects demonstrate particular strength in developing innovative solutions for extreme environments including space and underwater applications. Analysis of his 15 most recent publications (2023-2025) reveals three dominant research trajectories: (1) Space mission architectures for Mercury, Venus, and Mars featuring novel entry/landing systems; (2) Impact dynamics studies covering hypervelocity collisions, bird/drone strikes on urban air mobility vehicles, and spacecraft shielding; (3) Bioinspired flight mechanics focusing on bee and bat aerodynamics under environmental stressors. These threads consistently employ fluid-structure interaction methodologies across scales. Scientific Awards: No awards or honors were documented in the provided source material While specific student advising relationships aren't enumerated, his research scope suggests supervision of graduate students in computational mechanics, space systems, and bioinspired robotics. The publication record indicates sustained grant funding for hypervelocity impact studies, space mission design, and bioflight mechanics, though specific grant details aren't provided. His work likely connects with NASA mission development programs and urban air mobility safety initiatives. The research ecosystem appears centered around computational laboratories specializing in fluid-structure interaction modeling, with potential connections to experimental impact testing facilities and biological flight observation setups for bioinspired studies.
Kirstin Petersen is an Associate Professor in the Department of Information Science at Cornell University's Bowers College of Computing and Information Science. She leads the Collective Embodied Intelligence Lab, focusing on collective robotic systems that exhibit emergent intelligent behaviors through local interactions. Her research interests center on collective robotic construction, swarm robotics, soft robotics, and human-robot interaction. Petersen's work explores how groups of simple robots can collaborate to build complex structures, with applications ranging from construction to agriculture. She investigates the principles of embodied intelligence, where the physical form and environment of robots contribute to their capabilities, reducing the need for complex centralized control. Her publication trends show a consistent focus on distributed robotic systems, with recent work expanding into agricultural robotics, human-drone interaction, and novel actuation methods using phase-changing materials. Her research bridges theoretical principles of collective behavior with practical implementations in soft and modular robotic systems. Petersen has advised numerous graduate students who have become prominent researchers in robotics, including Steven Ceron, Nialah Wilson-Small, and Jiahe Chen. Her lab has secured funding for projects related to swarm construction, agricultural monitoring, and soft robotic systems. She leads the Collective Embodied Intelligence Lab at Cornell, which brings together researchers from computer science, mechanical engineering, and biology to develop novel approaches to collective robotic systems. The lab emphasizes both theoretical foundations and practical implementations, with projects ranging from tiny modular robots to agricultural drones.
Dr. Yingliang Ma is an Associate Professor in Computing Sciences at the University of East Anglia, leading the Vision Computing Research Group. He holds a PhD in Computer Science from the University of Manchester and serves as President of the Cardiac-SIG in MICCAI. His research focuses on computer vision, medical image analysis, and procedure risk assessment, with grants from EPSRC, NIHR, and MRC. He is also a Visiting Academic at King's College London (2022–2026) and former Honorary Lecturer (2016–2018). Education: PhD in Computer Science, University of Manchester Research Interests: Dr. Ma develops novel algorithms in computer vision and computational geometry for medical applications such as image-guided surgery, cardiac interventions, and procedure risk assessment. His work emphasizes real-time systems and AI integration in healthcare. Grants & Projects: MRC Impact Fund (2024–2025): £44,669 for a 3D guidance system for cardiac procedures. EPSRC Grant (2023–2025): £279,504 for hybrid 3D cardiac intervention guidance. NIHR Grant (2015–2018): £400,719 for MRI-augmented pediatric cardiovascular interventions. EU ERASMUS+ (2020–2022): €237,940 for Virtual Reality in education. Labs & Teams: Head of Vision and Graphics Research Group. Active in collaborations across cardiology, computer science, and AI.
Myles H.M. Menz is a researcher at James Cook University (JCU) with a focus on insect ecology, conservation biology, and technological applications in ecological monitoring. His work spans diverse topics including insect migration patterns, pollination dynamics, and the impacts of environmental stressors like pesticides and light pollution. He collaborates internationally on projects involving radar entomology, animal-borne sensors, and ecological genetics. Key research interests include the migration strategies of insects such as hoverflies, moths, and dragonflies, as well as conservation challenges facing endangered species like the orchid Caladenia xanthochila. His studies often integrate cutting-edge technologies (e.g., radar tracking, genomic analysis) to understand ecological processes at both individual and community levels. Notable contributions include demonstrating how hoverflies use sun compass navigation during autumn migration and revealing how insecticide exposure alters gene expression in honeybees. Menz also emphasizes interdisciplinary approaches, such as developing global databases for metacommunity ecology and advocating for landscape-scale ecosystem restoration frameworks. His work bridges applied and theoretical ecology, addressing critical issues like pollinator decline, urban biodiversity, and the ecological consequences of human activities.
Dr. Lucinda Kirkpatrick is a Lecturer in the School of Environmental and Natural Sciences at Bangor University, where she actively supervises PhD students and conducts interdisciplinary research in ecology and conservation. Her work bridges wildlife behavior, biodiversity monitoring, and disease ecology, with a focus on bats, rodents, and broader ecosystem dynamics. Her research interests include wildlife social networks , capture-mark-recapture modeling , habitat use in tropical and temperate ecosystems , and the application of technology in ecological monitoring . She has developed and employed miniaturized Bluetooth Low Energy proximity loggers to study animal contacts, contributing to understanding disease transmission and social structures in wild populations. Dr. Kirkpatrick's recent publications reveal a strong trend in long-term ecological datasets , spatial modeling , and conservation applications across diverse systems—from Tanzanian rodent populations to great ape monitoring in the Democratic Republic of the Congo. Her work frequently appears in high-impact journals such as Nature Ecology and Evolution , PLoS ONE , and Journal of Animal Ecology . She has been invited to speak at international events, including a 2025 workshop on proximity logging for animal behavior and a 2024 conference session on One Health in the Anthropocene. Her scientific contributions are supported by extensive collaborative networks and fieldwork across Africa and Europe. Scientific Contributions and Activities: Developed novel methods for non-invasive bat marking using bee markers. Contributed to the PREDICTS project database on terrestrial biodiversity responses. Presented invited talks on animal behavior monitoring and conservation in the Anthropocene. Dr. Kirkpatrick is actively involved in mentoring and research supervision, with no indication of retirement or former status. She continues to publish cutting-edge research and engage with the global ecological community.
Marko Tanasković (born December 6, 1986) is a researcher at Singidunum University with a PhD in Information Technology and Electrical Engineering from ETH Zurich (2015). His academic background includes master's (ETH Zurich, 2011) and bachelor's (University of Belgrade, 2009) studies in Electrical Engineering. Doctoral studies: Information Technology and Electrical Engineering, ETH Zurich (2011-2015) Master studies: Information Technology and Electrical Engineering, ETH Zurich (2009-2011) Basic studies: Electrical Engineering, University of Belgrade (2005-2009) Tanasković's research focuses on control systems , predictive modeling , and optimization algorithms for mechanical and electrical systems. His work addresses adaptive model predictive control (MPC), sensorless motor positioning, and data-driven approaches for nonlinear systems. Recent publications (2018-2024) demonstrate expertise in: Embedded control systems (rotor polarity detection) Drone forensics and autonomous navigation Industrial automation (LabVIEW applications) Biomedical sensor development ('Smart Anklet') Machine learning optimization (firefly algorithm)
Dr. Gülsüm Çiğdem Çavdaroğlu Akkoç is a full-time Assistant Professor in the Information Technologies Department at Işık University's Faculty of Economics, Administrative and Social Sciences. She holds a multidisciplinary background with degrees in Mathematics Engineering, Geomatics Engineering, and Turkish Language & Literature. Education Ph.D. in Photogrammetry Engineering – Yıldız Technical University (2006–2013) M.S. in Photogrammetry Engineering – Yıldız Technical University (2003–2006) B.S. in Mathematics Engineering – Yıldız Technical University (1998–2003) B.A. in Turkish Language & Literature – Anadolu University (2016–2020) Research Interests Dr. Akkoç's research spans remote sensing , GIS , and machine learning , with applications in environmental monitoring, urban mobility, and health informatics. Her work leverages satellite imagery, mobile data, and AI to address challenges such as wildfire detection, air pollution tracking, and disease diagnosis. She actively integrates spatial data with AI to support smart city development and sustainable resource management. Scientific Awards First Prize – Mobilya Ar-Ge Proje Pazarı (2013), Entrepreneurship Category Supervision & Projects She has supervised four master's theses and led several EU and national projects including: BEE-OPTECH4Honey : Optimizing beekeeping routes using ICT TOP4HoneyChain : A sustainable smart honey value chain platform Open Data Platform for Precision Agriculture Labs & Teams Dr. Akkoç collaborates with interdisciplinary research teams in the fields of AI, geospatial technologies, and agricultural informatics. Her lab activities include developing machine learning models for real-world applications in health, environment, and urban systems.
Dr. Jennifer C. Geib is an Associate Professor in the Department of Biology at Appalachian State University, where she also serves as the Undergraduate Program Director for Biology Secondary Education and Assistant Chair for Student Affairs. Her interdisciplinary work bridges ecology and science education, with significant contributions to understanding plant-pollinator mutualisms and preparing effective science educators. Dr. Geib's educational background includes: Ph.D. in Biological Sciences from the University of Missouri (2010) M.Ed. in Science Education from the University of Missouri (2002) B.S. in Science Education from the University of Iowa (1996) Her research spans two interconnected realms: Ecology and Science Education. Within ecology, she investigates partner dynamics in pollination mutualisms across spatial and temporal scales, population biology and genetics of plants and eusocial pollinators (particularly bumble bees), links between individual animal behavior and larger-scale effects, and climate change impacts on pollination systems. Her educational research focuses on science teacher preparation throughout educators' careers, with attention to adolescent literacy in science classrooms and preservice elementary educators' dispositions toward science and the environment. Dr. Geib's publication record demonstrates expertise in both ecological research and science education scholarship, with recent work examining climate change impacts on pollinator communities and educational approaches to science literacy. Her research combines field studies in alpine habitats with quantitative modeling approaches and long-term monitoring of pollinator populations. Her scientific recognition includes: Most Helpful Faculty List, College of Arts and Sciences (2016) Nominations for Outstanding Academic Adviser, College of Arts and Sciences (2013, 2014, 2016, 2017) Dr. Geib has secured multiple research grants, including funding from The Swedish Research Council for Environment and the North Carolina Quality Educators through Staff Development and Training program. She has mentored numerous graduate and undergraduate students through research projects focused on pollinator ecology and science education. Her laboratory conducts research on plant-pollinator mutualisms, with emphasis on bumble bees in alpine ecosystems. Current projects include investigating genetic structure among bumble bee populations, modeling vegetation management effects, and conducting long-term monitoring in both Rocky Mountain and Southern Appalachian regions.
Tullio Salmon Cinotti is an Adjunct Professor at the University of Bologna's Department of Electrical, Electronic, and Information Engineering 'Guglielmo Marconi'. His teaching focuses on logic design and digital systems, including courses like 'Logic Design T' for automation and electronics engineering students. His research spans IoT applications in smart agriculture, structural health monitoring, and energy systems. Key areas include interoperable IoT architectures, semantic integration, wireless sensor networks, and embedded systems. Research interests emphasize IoT toolchain development for condition monitoring, precision irrigation via soil moisture calibration, and drone-based environmental sensing (BEE-DRONES project). He explores semantic-driven agent programming, smart energy grids, and elderly care solutions like the HABITAT project for fall detection and indoor localization. His work integrates RFID, radar, and visual technologies for smart spaces and cultural heritage management. Publications highlight interdisciplinary approaches to electromobility, grid integration, and semantic middleware (e.g., Smart-M3). Teaching materials include course units on sequential networks, combinational logic design, and digital system synthesis. Contact: Email , +39 051 20 9 5421.
Dr. Alireza Moayedikia is a Lecturer in Information Systems at the School of Business, Law and Entrepreneurship, Swinburne University of Technology. His research focuses on Artificial Intelligence, Machine Learning, and Data Science, with expertise in social network analysis, natural language processing, and back-end software development. He has over ten years of professional experience in AI and ML, emphasizing data preparation for machine learning tasks. Research Interests: Dr. Moayedikia’s work spans optimization algorithms for crowdsourcing, microtask management, and feature selection. His recent contributions include advancements in matrix factorization, dynamic payment systems for microtask platforms, and community detection in attributed networks. His methodologies often integrate swarm intelligence (e.g., bee colony optimization) and probabilistic models. Publications: His 19 publications reflect a strong focus on AI-driven solutions, including contributions to data-driven healthcare systems and green logistics. His articles address challenges in sparse data handling, worker reliability estimation, and multi-criteria decision-making frameworks. Grants: He contributed to the SCOPE 3 research contract (2020–2021), developing prototypes for tracking Green House Gas emissions in last-mile delivery systems. Labs/Teams: Collaborates within interdisciplinary teams at Swinburne, focusing on applied AI and sustainable logistics solutions.
Chris Pritsos serves as Interim Chair of Nutrition, Associate Dean of Research, and Director of the Nevada Agricultural Experiment Station at the University of Nevada, Reno within the College of Agriculture, Biotechnology & Natural Resources. His academic credentials include: B.A. from Occidental College (1975) Ph.D. from the University of Nevada (1982) Dr. Pritsos specializes in environmental toxicology with emphasis on neonicotinoid insecticides' effects on avian species and honey bees. He developed a homing pigeon model to study contaminant impacts on flight navigation and reproduction using GPS tracking and cholinesterase assays. His research extends to tobacco control policy, molecular toxicology of anticancer drugs, and asthma pharmacogenetics, bridging laboratory science with ecological and public health applications. Analysis of his publications reveals consistent focus on environmental contaminant impacts across biological scales—from molecular mechanisms (Mitomycin C ribosomal inhibition) to ecosystem-level consequences (neonicotinoids disrupting bird migration). His work demonstrates interdisciplinary integration of toxicology, ornithology, and public policy, particularly regarding Nevada-specific environmental health challenges. No scientific awards were documented in the source material. The provided texts contain no information about student mentorship or research grants. Dr. Pritsos leads a specialized laboratory utilizing homing pigeons as an avian model system. His team employs GPS technology to quantify flight navigation impairments from pesticide exposure while measuring biochemical endpoints like cholinesterase inhibition. This approach uniquely connects insecticide toxicity to migratory behavior disruption, addressing critical gaps in ecological risk assessment for protected avian species.
Beryl Jones is an Assistant Professor in the Department of Entomology at the University of Kentucky's Martin-Gatton College of Agriculture, Food and Environment. Her research focuses on the genomics of socio-behavioral plasticity in wild bees, integrating behavior, ecology, and modern computational biology approaches to understand phenotypic complexity evolution. She serves as both a Career and Professional Mentor and Research Mentor for students. Dr. Jones received her educational training through: B.S. in Ecology and Evolutionary Biology, Biochemistry, University of Arizona, 2011 Ph.D. in Ecology, Evolution, and Conservation Biology, University of Illinois at Urbana-Champaign, 2019 Her research program centers on social insects as models for evolutionary transitions and phenotypic plasticity. The Jones Lab specifically studies sweat bees (Halictidae) which exhibit remarkable plasticity within and across species, repeated gains and losses of social traits, and newly developed genomic resources. Her work integrates behavioral ecology with computational biology and genomics to understand the mechanisms behind phenotypic complexity. This research has implications for understanding evolutionary transitions, social behavior development, and the genetic basis of plasticity across developmental and evolutionary timescales. Analysis of Dr. Jones' publication record reveals a consistent focus on the genomics of social behavior in bees, with particular attention to sweat bees as model organisms. Her work spans molecular, physiological, and behavioral levels, connecting gene regulatory networks to social phenotypes. Recent research has increasingly incorporated advanced computational methods including AI and machine learning for behavioral tracking. Her publications span high-impact journals across evolutionary biology, genomics, and entomology, reflecting the interdisciplinary nature of her work. Dr. Jones has received numerous scientific awards throughout her career: George C. Eickwort Student Research Award (IUSSI-NAS) 2019 Robert Emerson Memorial Award (UIUC) 2018 NSF Graduate Research Fellowship 2012-2015 Illinois Distinguished Fellowship 2012-2018 Multiple undergraduate research awards including the Barry M. Goldwater Fellowship Dr. Jones actively mentors students and has served as a Teaching Assistant, Guest Lecturer, and Lecturer for various courses including Bioinformatics and Bees and Beekeeping. She is currently recruiting M.S. and Ph.D. students for her lab. Her research has been supported by multiple grants including NSF funding and institutional fellowships. Dr. Jones has also served on graduate admissions committees, organized conferences, and participated in peer review for numerous journals. The Jones Lab focuses on the genomics of socio-behavioral plasticity in wild bees, particularly sweat bees in the family Halictidae. The lab integrates behavioral ecology with computational biology and genomics to understand the evolution and development of phenotypic complexity. Current research examines how social traits evolve and are maintained through genetic and environmental interactions, with particular attention to facultatively eusocial species that can switch between solitary and social behaviors.
Prof. Dr. Numan CELEBİ serves as a Professor at Sakarya University's Faculty of Computer and Information Sciences, Department of Information Systems Engineering, where he has held academic positions since 2007. His career progression includes promotion to Associate Professor in 2013 and subsequent advancement to full Professor. His educational foundation comprises a Doctorate in Industrial Engineering from Sakarya University (1998-2004) with thesis Inductive-rough clustering approach to part family generation , a Master's in Electrical and Electronics Engineering (1995-1997) with thesis Development of computer program for the implementation of Adapazari medium voltage distribution network (SCADA) system , and a Licence from Istanbul Technical University's Electrical-Electronic Engineering program (1985-1989). CELEBİ's research spans Artificial Intelligence , Machine Learning , and Computer Vision , with significant contributions to optimization algorithms (Polar Bear Algorithm, Tug of War Optimization), intelligent transportation systems (traffic congestion detection, vehicle rerouting), and computer vision applications (object tracking, saliency detection, UAV-based plant recognition). His methodology frequently integrates Rough Set Theory and fuzzy systems for data analysis and decision support. Analysis of his 15 most recent publications (2007-2023) reveals a clear research trajectory toward applying metaheuristic optimization and deep learning to real-world problems. His work demonstrates increasing focus on transportation systems (40% of recent publications), agricultural technology via UAVs (15%), and novel optimization frameworks (25%), with consistent methodological emphasis on hybrid algorithm design and real-time implementation. As an educator, CELEBİ supervises graduate research through courses like ENF 524 Project and teaches specialized subjects including Meta Heuristic Optimization Methods , Intelligent Techniques in Data Analysis , and Data Science across undergraduate and graduate programs. His teaching portfolio spans discrete mathematics, computer networks, and cloud computing, reflecting interdisciplinary expertise.
Dr. Lena Riabinina is an Associate Professor in the Department of Biosciences at Durham University and a Fellow of the Wolfson Research Institute for Health and Wellbeing. Her research focuses on genetic tool development, insect sensory neuroscience, and sensory ecology in species such as Drosophila, mosquitoes, bumblebees, and black soldier flies. PhD: University of Sussex (2009), studying insect visual navigation Postdoctoral positions: UCL, Johns Hopkins University, Imperial College, and Manchester University Joined Durham as Assistant Professor in 2019, promoted to Associate Professor in 2023 Research interests include: Genetic tools for non-model insects (e.g., mosquitoes) Insect olfaction and neuroethology Co-evolution of courtship songs and hearing in Drosophila Recent articles explore mosquito blood-feeding patterns, bee neuroecology, and genetic expression systems. Her lab (InsectNeuroLab) actively develops interdisciplinary approaches to study insect sensory systems. Supervises four PhD students and holds grants from the Daiwa and Sasakawa Foundations. Currently advertising self-funded PhD projects and MRes opportunities in areas like mosquito genetic tool development and AI-driven insect behavior analysis.
