FUSION
FUnctionality Sharing In Open eNvironments
Heinz Nixdorf Chair for Distributed Information Systems
 

Dr. Jitendra Gaikwad

Biodiversity Informatics Scientist

Leutragraben 1, Jentower , 07743 Jena , Room: 17N04

+49 (0) 3641-9-46368

Join date: 2013-02-12

0000-0002-7565-4389

Curriculum Vitae

PhD (Biodiversity informatics), Macquarie University, Australia.

M.Sc. (Environmental Botany), University of Mumbai, India.

B.Sc. (Botany), University of Mumbai, India.

Professional Activities

15 years of experience as a Biodiversity Informatics professional with a track record of developing specialized IT solutions in the academic industry. Adept in user-requirements elicitation and translating it to technical specifications. Highly skilled in liaising with key stakeholders and clients to establish trust and achieve project goals. Team player with experience supervising multidisciplinary and multicultural teams.

Research Area

Biodiversity and Ecology Informatics

Biodiversity Research Data Management

Ethnobiology informatics

Application of Computer Vision and Deep Learning Techniques

Plant Traits

Publications

2021

A deep learning-based approach for segmenting and counting reproductive organs from digitized herbarium specimen images using refined Mask Scoring R-CNN
Abdelaziz Triki, Bassem Bouaziz, Jitendra Gaikwad and Walid Mahdi
Tunisian-Algerian Joint Conference on Applied Computing (TACC 2021)
Tunisia 18.12.2021
PhenoDeep: A Deep Learning-Based Approach for Detecting Reproductive Organs from Digitized Herbarium Specimen Images
Abdelaziz Triki, Bassem Bouaziz, Jitendra Gaikwad, and Walid Mahdi
Proceedings of the International Conference on Neural Information Processing (ICONIP 2021): Lecture Notes in Computer Science
6.12.2021
BEXIS2: A FAIR-aligned data management system for biodiversity, ecology and environmental data
Javad Chamanara, Jitendra Gaikwad, Roman Gerlach, Alsayed Algergawy, Andreas Ostrowski and Birgitta König-Ries
Biodiversity Data Journal
5.11.2021
Deep leaf: Mask R-CNN based leaf detection and segmentation from digitized herbarium specimen images
Abdelaziz Triki, Bassem Bouaziz, Jitendra Gaikwad, and Walid Mahdi
Pattern Recognition Letters
21.7.2021
Comprehensive leaf size traits dataset for seven plant species from digitised herbarium specimen images covering more than two centuries
Vamsi Krishna Kommineni, Susanne Tautenhahn, Pramod Baddam, Jitendra Gaikwad, Barbara Wieczorek, Abdelaziz Triki, Jens Kattge
Biodiversity Data Journal 13.7.2021

2020

Understanding Intraspecific Trait Variability Using Digital Herbarium Specimen Images
Vamsi Krishna Kommineni, Jens Kattge, Jitendra Gaikwad, Pramod Baddam, Susanne Tautenhahn
Biodiversity Information Science and Standards 1.10.2020
Objects Detection from Digitized Herbarium Specimen based on Improved YOLO V3
Abdelaziz Triki, Bassem Bouaziz, Walid Mahdi, and Jitendra Gaikwad
15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
Malta 27.2.2020

2019

Measuring Morphological Functional Leaf Traits From Digitized Herbarium Specimens Using TraitEx Software
Jitendra Gaikwad, Abdelaziz Triki, and Bassem Bouaziz
Biodiversity_Next 2019
Netherlands 13.6.2019

2018

Refined Methodology for Accurately Detecting Objects from Digitized Herbarium Specimens
Triki, Abdelaziz; Bouaziz, Bassem; Gaikwad, Jitendra
https://icei2018.uni-jena.de/
Jena, Germany 20.12.2018
Specimen-GT tool: Ground Truth Annotation tool for herbarium Specimen images
Bassem Bouaziz, Rochdi ben Ali, Abdelaziz Triki, Jitendra Gaikwad
https://icei2018.uni-jena.de/
Jena, Germany 20.12.2018
Proceedings of the ‘10th International Conference on Ecological Informatics: translating ecological data into knowledge and decisions in a rapidly changing world
Jitendra Gaikwad; Birgitta König-Ries; Friedrich Recknagel
https://icei2018.uni-jena.de/
Jena, Germany 18.12.2018
TraitEx: tool for measuring morphological functional traits from digitized herbarium specimens
Jitendra Gaikwad, Abdelaziz Triki, Bassem Bouaziz, Hamdi Hamed, Jörn Hentschel
https://icei2018.uni-jena.de/
Jena, Germany 18.12.2018
Research data management in action – demonstrating the full range of features of the BEXIS 2 platform
Roman Gerlach, Andreas Ostrowski, Jitendra Gaikwad and Alsayed Algergawy
ICEI2018 - The 10th International Conference on Ecological Informatics 24.9.2018

2016

Towards recommending visualizations for biodiversity data
Pawandeep Kaur, Jitendra Gaikwad, Birgitta König-Ries
Biodiversity and Conservation
9.6.2016

2015

Closing the Gaps in Biodiversity Data Management: What Biodiversity Researchers Seek and Computer Science Can Offer
Friederike Klan, Felicitas Löffler, Jitendra Gaikwad, Roman Gerlach, Alsayed Algergawy, Pawandeep Khaur, Dorothee Wieczorek
45th Annual Meeting of the Ecological Society of Germany, Austria and Switzerland (GFÖ 2015))
Göttingen 31.8.2015

Teaching

Current Projects

Jena Data Center (JDC)
The Jena Data Center (JDC) at the Friedrich Schiller University Jena is a conglomerate of data repositories belonging to various small to mid-scale biodiversity and ecological projects, that are using BEXIS2 research data management tool. The aim of the data centre is to provide F.A.I.R principles-based data and ensure long-term preservation and availability along with its high-quality descriptive metadata, to facilitate open science and biodiversity conservation. As part of the long-term preservation objective, after the completion of the project tenure, the data centre will integrate the associated BEXIS2 based data repositories within the Jena data centre e-infrastructure so as to ensure the data is available…
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NFDI4Biodiversity- A Consortium for the National Research Data Infrastructure (NFDI)
NFDI4BioDiversity is a consortium of 49 partners dedicated to deliver practical tools for researchers and improve data availability for environmental studies/ecology. We are part of a greater network within the German National Research Data Infrastructure (NFDI), which is funded through a 10-year-programme of the Joint Science Minister Conference in Germany (GWK).  To know more about the NFDI4Biodiversity project click here  Objectives To foster access to interoperable data, NFDI4BioDiversity focuses on the following six objectives: Promoting research data management as an integral part of biodiversity research Enabling FAIRness of data Consolidating FAIRness with quality Embedding NFDI4BioDiversity into the (inter-)national landscape Addressing NFDI-wide…
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BExIS++
The Heinz-Nixdorf Endowed Chair for Practical Computer Science at the Friedrich-Schiller-University (FSU) of Jena, Germany is working with the Institute of Ecology (FSU), the Institute for Geography (FSU), the University Data Center (FSU) and the Max Planck Institute for Biogeochemistry for the further development of the established Biodiversity-Exploratories Information System (BExIS). Furthermore, the project will focus on strategic work such as concepts and method development to foster long-term data preservation in biodiversity research at the Friedrich-Schiller-University. Ideally, the further development of the existing BExIS software will serve three purposes: Technical Goals The core of the BExIS software will be revised…
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Completed Projects

iDiv- Biodiversity Informatics Unit (BDU)
The German Centre for Integrative Biodiversity Research (iDiv) funded by the German Research Foundation (DGF), is a hub for international biodiversity science whose central mission is to promote theory-driven synthesis and data-driven theory. The concept of iDiv encompasses detection and quantification of biodiversity, understanding its existence and emergence, exploring it’s consequences for ecosystem functions and services, and developing new strategies to safeguard biodiversity. No single institution – not even a whole generation of scientists – possesses the intellectual capacity to exploit the potential of the data it generates and assembles. Without efficient data storage and sharing within iDiv, between iDiv and the outside,…
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Managing Multimedia Data for Science (MAMUDS)
The MAMUDS (Managing Multimedia Data for Science) is a two year BMBF funded project under the  German-Tunisian Science and Technology Cooperation Research Project. The main aim of the project is to develop a multimedia data management platform for biodiversity domain, which will be later integrated with the open source research data management software BEXIS 2. The objectives of the project are- (1) to develop multimedia data management platform for specimens’ images from the herbarium Hausskneckt in FSU Jena, (2) extract diagnostic characters and select functional traits using image recognition methods and (3) annotate plant specimen images using extracted diagnostic characters…
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