Center for Information Technologies

Project goal: The objective of the project is to establish collaboration with a diaspora partner in order to enhance the Institute’s scientific visibility and strengthen scientific excellence through knowledge transfer and joint development of innovative solutions in 3D computer vision and artificial intelligence.
About the project: The project focuses on collaboration in the fields of 3D computer vision and artificial intelligence, with a particular emphasis on 3D reconstruction and segmentation. This partnership enables the exchange of scientific ideas, supports the development of innovative approaches, and advances research activities. The project is expected to result in high-impact scientific publications in leading international journals and conferences in computer vision and machine learning, as well as the preparation of joint project proposals for international funding calls such as Horizon Europe.
BioSense role on the project: The BioSense Institute participates as an active partner in knowledge exchange and in the development of innovative solutions in 3D computer vision and artificial intelligence. The Institute contributes to research activities, scientific publications, and the preparation and submission of joint project proposals, with the aim of increasing its scientific visibility and excellence.

Senior Research Associate in the field of technical/technological sciences- information technologies

Marko Panić

Sanja Brdar is a senior researcher and head of the Centre for Information Technologies at BioSense Institute. She received a PhD degree from the University of Novi Sad in 2016. Prior to starting her PhD studies, she spent two years working in the software industry with a major in databases design and development. In 2010 she was awarded a ten-month Basileus fellowship for joining the Bioinformatics Laboratory at University of Ljubljana which set the foundations for the PhD thesis on data/knowledge fusion in bioinformatics. Currently, she is actively involved in many projects including H2020 Antares, Dragon, Bestmap and Flexigrobots and teaches two master level courses at Faculty of Sciences. Her research interests include machine learning, explainable AI and bioinformatics. She works on ensemble methods, data fusion, clustering, and predictive modelling with applications in biology, agriculture, environmental sciences and health. She enjoys participating in worldwide data science challenges and with the team of researchers made significant results: placed third in Nokia Mobile Data Challenge (2012), finalist of Orange, France, Data for Development Challenge (2013), finalist/winner/third place of Syngenta Crop Challenge (2016, 2017, 2019) and finalist of UNDP Depopulation challenge (2020).

Sanja Brdar

Dr. Marko Panić is a research associate in the field of technical sciences and information technologies at the BioSense Institute. His doctoral dissertation is related to the development of algorithms for accelerated image reconstruction from incomplete measurements using a sparse representation of signals and statistical Markov random models. His research direction includes statistical modeling of multidimensional data obtained from different sensors. He is currently working on the analysis and processing of images obtained from hyperspectral and multispectral cameras using advanced machine learning methods with application in assessing the quality of fruits and vegetables. As a member of the BioSense team, he participated in Syngenta's "Crop Challenge" competition, which resulted in winning first place. He is actively involved in many projects from the Horizon 2020 call, including Antares, Cybele, Dragon and Flexirobots, as well as in projects with companies such as Krivaja, MK Agri and Delta Agrar.

Dimitrije Stefanović is a Junior researcher in the field of ICT within the Center for Information Technologies at the BioSense Institute. He has received BSc (2020) degree in Electrical and Computer Engineering, from the Department of Power, Electronic and Telecommunication Engineering, Signal Processing module, Faculty of Technical Sciences, University of Novi Sad. His research focus is study of digital image processing and machine learning techniques for applications in agriculture. His current research interests are primarily directed towards denoising of pollen particle holograms and various reconstruction methods in digital holography.

Dimitrije Stefanović

Science Fund of the Republic Serbia

LINEARITY – PLant PhenotypINg ModEling SpARse VIew GeomeTrY

Centar za Informacione Tehnologije

Cilj projekta: Cilj projekta je umrežavanje sa partnerom iz dijaspore radi unapređenja naučne vidljivosti Instituta, kao i jačanja naučne izvrsnosti kroz transfer znanja i zajednički razvoj inovativnih rešenja u oblasti 3D računalnog vida i veštačke inteligencije.
O projektu: Projekat je fokusiran na saradnju u oblasti 3D računalnog vida i veštačke inteligencije, sa posebnim akcentom na 3D rekonstrukciju i segmentaciju. Kroz ovu saradnju omogućava se razmena naučnih ideja, razvoj inovativnih pristupa i unapređenje istraživačkog rada. Očekuje se publikovanje radova u vodećim međunarodnim časopisima i konferencijama iz oblasti računalnog vida i mašinskog učenja, kao i priprema zajedničkih projektnih predloga za međunarodne pozive poput Horizon Europe programa.
Uloga BioSens-a na projektu: BioSens Institut učestvuje kao aktivan partner u razmeni znanja i razvoju inovativnih rešenja u oblasti 3D računalnog vida i veštačke inteligencije. Institut doprinosi istraživačkim aktivnostima, razvoju naučnih publikacija, kao i pripremi i apliciranju za međunarodne projekte, sa ciljem jačanja svoje naučne vidljivosti i izvrsnosti.

Viši naučni saradnik u oblasti tehničko-tehnoloških nauka- informacione tehnologije

Dr Sanja Brdar je naučni saradnik i rukovodilac Centra za informacione tehnologije na Institutu BioSens. Doktorirala je na Univerzitetu u Novom Sadu 2016. Pre početka doktorata provela je dve godine u softverskoj kompaniji u timu za razvoj baza podataka. Desetomesečnu Basileus stipendiju za istražvački boravak u Laboratoriji za bioinformatiku na Univerzitetu u Ljubljani dobila je 2010. godine i time postavila osnove za doktorat u oblasti fuzije podataka/znanja u bioinformatici. Aktivno je uključena u mnoge projekte, uključujući H2020 Antares, Dragon, Bestmap i Flekigrobots i predavač je na dva master predmeta na Prirodno-matematičkom fakultetu, smer Nauka o podacima. Njena istraživačka interesovanja uključuju mašinsko učenje, objašnjivu veštačku inteligenciju i bioinformatiku. Radi na ansambalskim metodama, fuziji podataka, klasterizaciji i prediktivnom modelovanju sa primenom u biologiji, poljoprivredi, životnoj sredini i javnom zdravlju. Učesnica je na svetskim izazovima iz nauke o podacima i sa timom istraživača postigla je značajne rezultate: treće mesto na Nokia Mobile Data Challenge (2012), finalista Orange France, Data for Development Challenge (2013), finalista / pobednik / treće mesto na Singenta Crop Challenge (2016, 2017, 2019) i finalista UNDP izazova depopulacije Srbije (2020).

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Dr Marko Panić je naučni saradnik u oblasti tehnološko-tehničkih nauka – informacionih tehnologija na institutu BioSens. Tema doktorata mu je vezana za razvoj algoritama za ubrzanu rekonstrukciju slika iz nepotunih merenja korišćenjem retke reprezentacije signala I statističkih Markovljevih slučajnih modela Njegov pravac istraživanja obuhvata statističko modelovanje multidimenzionalnih podataka dobijenih sa različitih senzora. Trenutno radi na analizi I obradi slika dobijenih sa hiperspektralnih I multispektralnih kamera korišćenjenem naprednih metoda mašinskog učenja sa primenom u proceni kvaliteta voća I povrća. Kao član tima BioSens ucestvovao je na Sindžentinom takmičenju “Izazovu za useve” koje rezltiralo osvajanjem prvog mesta. Aktivno je uključen u mnoge projekte iz poziva Horizont 2020, među kojima su Antares, Cybele, Dragon i Flexirobots, kao i u projekte sa kompanijama poput Krivaje, MK Agri i Delta Agrar.

Dimitrije Stefanović zaposlen je u Centru za informacione tehnologije Instituta BioSens, na poziciji Mlađi istraživač u oblasti informaciono-komunikacionih tehnologija. Završio je osnovne studije na Departmanu za energetiku, elektroniku i telekomunikacije, smer Obrada signala, Fakulteta tehničkih nauka, Univerziteta u Novom Sadu; Diplomirani inženjer elektrotehnike i računarstva je od 2020. godine. Prevashodno je usmeren ka istraživanju u oblasti digitalne obrade slike i primeni algoritama dubokog učenja u poljoprivredi. Posebno je zainteresovan za uklanjanje šuma iz holograma čestica polena i različite metode rekonstrukcije u digitalnoj holografiji.

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LINEARITY – PLant PhenotypINg ModEling SpARse VIew GeomeTrY

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