Lund University: 1985 PhD Zoology. 1992 Docent, Animal Ecology.
Swedish University of Agricultural sciences, SLU: 1994 Researcher, 2006 Professor, Chemical Ecology, 2013-2016 Leader ICE3, Alnarp.
Faculty of Forestry and Wood Sciences Czech University of Life Sciences Prague: 2017 Team leader.
Hirsch Index = 38.
Main interest insect-plant relations: how the insect find the best plant in mixed (i.e. natural) habitats. Applications in forestry.
Other interest: Biodiversity, Ornithology.
EXTEMIT-K: Team Scientific Leader involved in all Levels of Study
2018 - current Team leader EXTEMIT-K, Czech University of Life Sciences, Faculty of Forest and Wood Sciences, Prague, Czech Republic
EXTEMIT-K: Level G Leader (Electrophysiologist)
Chemical ecology, Insect pheromone biochemistry and natural products chemistry, Analytical techniques GCxGC-MS, HPLC-MS, identification and data analysis. Semiochemical system of host tree - bark beetles interaction (BB pheromones, host attractants, anti-attractants).
EXTEMIT-K: Level T Leader (Chemical Ecology), Levels G-L (G1B, T1, L2A, L3)
Dr. Amit Roy
Specialization area: Molecular entomologyOngoing activities: Assistant Professor and Head of Forest Molecular Entomology Lab at ETM, FFWS, CZU, Prague. Presently PI/ Co-PI for three projects (1 international) and supervisor for one postdoc, three Ph.D. and one master's student. Task leader G2, EXTEMIT-K project.
Research Interest: Understanding the Molecular underpinnings of plant-insect interaction.
Research Skills: Throughout his career so far, Dr. Roy has built up a broad repertoire of research skills. Most of the running projects in Dr. Roy`s lab are relying on omics-based research activities such as transcriptomics, proteomics, and metagenomics to understand insect (bark beetle) adaptive mechanisms to host plant allelochemicals.
Teaching: Dr. Roy is running two full-time Ph.D. courses in the faculty.
Previous employments: Before joining to forestry faculty (September 2017), Dr. Roy performed his research activities on three different continents i.e Asia, Europe, and America. His previous employments are as follows:
Quantitative forest genetics. Breeding theory and progeny testing.
Tree improvement strategies. Author of innovative <“Breeding without Breeding” concept. Theoretical development and large-scale applications in operational forestry world-wide. Seed orchards of forest tree species. Author of innovative eg“Minimum-Inbreeding” and “Optimum-Neighbourhood Allocation” designs. Computer simulations of forest tree breeding strategies. Evaluation of traits with complex genetic architecture. Genetic and genomic evaluation. Author of several innovative software tools.
Heritability in general population. Author of original method for estimating realized heritability in panmictic populations. Development of analytical models.
EXTEMIT-K: Genetics, Levels T & L (T1 & L3)
Assistant Professor at CZU, Department of Genetics and Forest Tree Species FFWS
2011-now Pedagogue and researcher in Plant Physiology and Anatomy
Practical experience/scientific interest in sap flow measurement, biomass allocation, gas exchange
EXTEMIT-K: Plant Physiology, Level T (T1A)
Institute of Organic Chemistry and Biochemistry, Academy of Sciences of the Czech Republic
Neurobiology, sensory physiology, electrophysiology, insect olfaction, insect chemical ecology, insect communication and behavior, insect-plant relationships, insect semiochemicals, EAG, ESG, GC-EAD, GC-ESG, GCxGC/MS
EXTEMIT-K: Chemical Ecology, Levels G-L (G1B, T1, L2A, L3)
Head of department of Forest Management
Research: UAV in forest mensuration, growth modelling using mathematics and eco-informatics, mathematical programming and decision support systems.
EXTEMIT-K: Earth Remote Sensing, Levels T & L (T1, L1B, L2)
Scientist / senior scientist ( 1995 to date), Supervise MSc and PhD student theses, project management and coordination.
Expertise: Forest entomology, Forest protection, Remote sensing (related to bark beetles) Drone (UAV) operator (Swissdrone <– Dragon 50)
EXTEMIT-K: Entomologist, Forester. Levels T & L (T1, L1B, L2)
June 2008 – May 2017 Researcher - Forestry and Game Management Research Institute
Forest Entomology, Forest Pest Management, Applied statistics
EXTEMIT-K: Entomologist, Forester. Levels T & L (T1, L1B, L2)
2016 - now Post-doc, Researcher (Department of Microbiology, Nutrition and Dietetics, Czech University of Life Sciences Prague)
Interests: bee gut microbiota, insect behaviour, molecular genetics.
EXTEMIT-K: technical support
Specialist in analytical methods developement using comprehensive two dimensional gas chromatography coupled to time of flight mass spectrometric detector (GCxGC-TOF-MS). Experienced in GC-TOF-MS based metabolomics and metabolite identification.
Dissertation thesis (2017): Rapid mass-spectrometric methods for analysing low molecular food components (Department of food analysis and nutrition, UCT-Prague)
Extemit-K levels: T, L
Present: Post-doc, Czech University of Life Sciences, Prague, Department of Forest Ecology.
Research interests: likelihood modeling of demographic processes in forest trees to explore consequences of anthropogenic climate change on forest system dynamics.
EXTEMIT-K: level L
Byrappa Ammagarahalli Munishamappa
June 2019 - now: Post-doctoral researcher and Electrophysiology lab leader, Czech University of Life Sciences, Prague. Czech Republic
Research interests: Sensory physiology, Insect olfaction and communication, Neuroethology, Semio-chemicals, Host-insect interaction and evolution, Insect chemical ecology
Expertise: Electrophysiology (SSR, EAG, GC-EAD), Microscopy (SEM, Confocal), Basic molecular biology techniques
Khodabakhsh Zabihi Afratakhti
Dec. 2019 - now: Research Scientist FFWS, CZU, Prague
2018 - 2019: Post-Doc., Institute of Arctic Biology, University of Alaska Fairbanks (UAF), USA
2011 - 2016: Ph.D., Rangeland Ecology and Watershed Management, University of Wyoming, USA
Research experiences and interests: Use of field surveys, GIS & remote sensing techniques for ecological measurements and trend analyses in different ecosystems, e.g., rangelands and forest ecosystems, Landscape ecology and genetics, Spatial statistics, modeling, and prediction based on probability and possibility (i.e., Fuzzy Logic) theories to analyze biodiversity, wildlife ecology and habitat-use patterns, Big data mining and machine learning in ecology
EXTEMIT-K: Scientific Researcher - Levels T and L