Camelia FLOREA, Ph.D.

  

E-mail: camelia.florea@com.utcluj.ro

 

Address: Cluj-Napoca, Romania.

 

 

 

 

 

 

About me:

·       I am a highly skilled and motivated person, with practical experience in software engineering, computer science, research activities and teaching, having mathematical and implementation background in the field of Data Analysis, Computer Vision, Machine Learning and Deep Learning. Always engaged in continuous learning in order to broaden my experience, I am confident and enthusiastic about working in Artificial Intelligence, looking for professional challenges for which technical, organizational and interpersonal skills are required.

·       I am an Assistant Professor in the Communications Department of the Technical University of Cluj-Napoca (UTCN), Faculty of Electronics, Telecommunications and Information Technology (ETTI). I am part of the Multimedia Technologies and Telecommunications Research Center, and the Intelligent and Multimodal Image Processing and Analysis Group, from the UTCN. I received my Ph.D. in Electronics and Telecommunications in 2009 from the UTCN, Romania.

 

 

Main Research and Development Areas:

·       artificial intelligence, machine learning, deep learning,

·       intelligent data analytics algorithms

·       image and video processing and analysis,

·       image and video compression (JPEG/ JP2/ MPEG/ H.26x),

·       compressed domain image/ video processing and analysis: numerically efficient implementations in the compressed domain of image enhancement, analysis, and segmentation algorithms,

·       multimedia technologies, edge computing, IoT (Internet of Things),

·       real-time development of intelligent decision support components.

 

 

Technical Skills

 

·       Software Design and Development

•                  Python; Visual Studio C#, C++, OpenCV

•                  MatLab; LabView; IMAQ Vision

•                  Javascript (basic); ORACLE, SQL (basic); Microsoft SharePoint (basic)

 

 

Work experience at Technical University of Cluj-Napoca:

·       October 2011 – present: Assistant Professor & Researcher

·       July 2010 – April 2013: Post-Doctoral Researcher

·       February 2009 – October 2011: Teaching Assistant & Researcher

·       September 2008 – February 2009: Research Assistant

·       October 2005 – September 2008: Ph.D. Student

 

 

I am conducting classes in the following disciplines:

·       Digital Image Processing (B.Sc. in Electronics and Telecommunications);

·       Digital Audio-Video Techniques (B.Sc. in Electronics and Telecommunications);

·       Image and Video Compression/Coding (M.Sc. in Multimedia Technologies);

·       Machine Vision Applications (M.Sc. in Multimedia Technologies).

 

Leading/ coordinating diploma and M.Sc. thesis: 6 to 15 students each year.

Coordination of diploma/dissertation thesis – that involves theoretical study and software implementation for digital image processing applications. Providing guidance and feedback to ensure that targets are met, and projects are completed efficiently. Checking the software implementation (and helping students to solve the bugs), experimental validation and the final paper. 

 

 

Projects in collaboration with private companies:

·       “Computer Vision for Self-Driving Cars”, at Engineering Center Cluj, Robert Bosch Romania.

o   Develop computer vision-based environment perception algorithms for assisted and automated driving systems.

·       “Mobile Application for Parking Spots Availability Management”, with Parking Spotter

o   Nowadays, intelligent parking spot availability management is a must for smart cities, because nobody enjoys wasting time in traffic looking for a parking space. The developed application identifies the free parking spots in a large parking lot by analyzing the information from the surveillance cameras. [ICETM_2021, Sensors_ECIIoT_2022]

o   Software Development – in Visual C# and Python.

·       “Real-Time Vehicle Counting”, with SC Mrobots SRL [SIITME_2019]

o   Real-time vehicle detection, tracking and counting from surveillance cameras is a main part of many applications in smart cities. In this project, we proposed an approach for real-time vehicle counting by using Tiny YOLO for detection and fast motion estimation for tracking. The developed application is running in Ubuntu with GPU processing, and the next step is to test it on low-budget devices, such as Jetson Nano. Experimental results show that our approach achieves high accuracy at real-time speed (33.5 FPS) on real traffic videos.

o   Software Development – in Python, edge computing on Jetson Nano.

 

 

Research projects through university, as a scientific researcher, 10 projects, three of them being:

·       “Intelligent system for dams surveillance by information fusion” (PN-III-P2-2.1-PTE-2016-0134, 2016 – 2018); project partners: IPA SA, UTCN (website: http://www.automation.ro/damfu/).

o   The project aims to develop a system - complex, modular product destined for dams supervision and other hydrotechnical critical infrastructure, IHC, (dikes, weirs, adductions channel, surge towers), in order to ensure their safety in natural disasters, technological accidents, and on natural aging processes, for protecting population and environment.

o   Software Development – in Visual C#.

·       "Interactive Real-Time Video Surveillance Services for Improved Public Safety in Crowded Urban Areas" (PN-II-PT-PCCA-2013-4-1791 2014 - 2017), project partners: UTCN; IPA SA; ACADEMIA DE POLITIE "ALEXANDRU IOAN CUZA"; AXTEN SRL; E G H IMPORT EXPORT S.R.L. (website: http://46.243.115.186/sites/intereviss/).

o   Intelligent distributed video surveillance plays a central role in public safety and security, as they can provide not only the monitoring and detection of anomalous events across wide-area public scenes, but also the understanding and semantic representation of these events in real-time, to effectively support the authorized personnel decisions. Analysing dense crowd behavior, tracking objects, crowds and individuals across multiple camera views and identifying abnormal events related to them requires special computer vision algorithms and collaborative video analytics approaches implemented in a computationally effective manner.

o   Software Development – in Visual C# .

·       "Mobile System for Rehabilitative Vocal Assistance of Surgical Aphonia." (PN-II-PT-PCCA-2013-4-1660 2014 - 2017) Project partners: UTCN; FORTECH SRL; U.M.F. Cluj-Napoca; UNIVERSITATEA BABES BOLYAI, (http://speech.utcluj.ro/swara).

o   SWARA (Mobile System for Rehabilitative Vocal Assistance of Surgical Aphonia) aims at helping the people who have unfortunately lost their voice to be able to take part in daily social life with limited restrictions regarding their communication.

o   Software Development – in Visual C#.

 

 

International projects:

·       „Image Processing, Information Engineering & Interdisciplinary Knowledge Exchange” CEEPUS CII-AT-0042 (2008-present), local coordinator: Univ.Prof.Ph.D. Aurel Vlaicu, network coordinator: Medical University Graz, Department of Radiology, Univ.Prof.Dr. Erich Sorantin. Partners: Universities from Austria, Bosnia-Herzegovina, Croatia, Hungary, Montenegro, Prishtina-Kosovo, Romania, Serbia, etc. (www.ceepus.info).

·       International mobilities - as part of other projects, to make international relationships, for dissemination propose and participate at conferences.

 

 

International publications - over 30 articles,

·       6 ISI journal papers, 15 ISI indexed conference papers,

·       other BDI indexed papers.

Published articles (the last four papers published):

·       Ciprian Iacobescu, Gabriel Oltean, Camelia Florea, Bogdan Burtea, “Unified InterPlanetary Smart Parking Network for Maximum End-User Flexibility”, 29 December 2021, Sensors 2022, 22(1), 221, Special Issue Edge Computing-Based Intelligent IoT (ECIIoT): Architectures, Algorithms and Applications, https://doi.org/10.3390/s22010221.

·       Lorant Andras Szolga, Denisa Alice Bozga, Camelia Florea, “End-User Skin Analysis (Moles) through Image Acquisition and Processing System”, Sensors 2022, 22(3), 1123, Special Issue Smart Healthcare Systems Based on the Internet of Things and Artificial Intelligence, https://doi.org/10.3390/s22031123.

·       Bogdan Burtea, Camelia Florea, Ciprian Iacobescu, Gabriel Oltean, “Video-Based Real-Time Application for Parking Spots Availability Management,” Conference Proceedings of 4th International E-Conference on Engineering, Technology and Management - ICETM 2021, 24 January, 2021, (On-line conference).

·       Gabriel Oltean, Camelia Florea, Radu Orghidan, Victor Oltean, “Towards Real-Time Vehicle Counting Using YOLO-Tiny and Fast Motion Estimation”, 2019 IEEE 25th International Symposium for Design and Technology in Electronic Packaging (SIITME), Cluj-Napoca, 23-26 October 2019, DOI: 10.1109/SIITME47687.2019.8990708.

 

 

Education:

·       2005-2009: Ph.D. Degree in Electronics and Telecommunications,

o   Technical University of Cluj-Napoca, Romania, Faculty of Electronics, Telecommunications and Information Technology, Communication Department,

o   Ph.D. Thesis: " Contributions to nonlinear and adaptive processing of JPEG compressed images",

o   Scientific coordinator: Prof.Eng. Aurel VLAICU, PhD

·       2005-2006: Postgraduate studies, the field of Multimedia Technology,

o   Technical University of Cluj-Napoca, Romania, Faculty of Electronics, Telecommunications and Information Technology.

o   Scientific coordinator: Prof.Eng. Aurel VLAICU, PhD

·       2000-2005: Diplomat Engineer, the field of Telecommunications,

o   Technical University of Cluj-Napoca, Romania, Faculty of Electronics and Telecommunications.

o   Scientific coordinator: Conf.Eng. Mihaela GORDAN, PhD

·       1995-2000: High School - Computer Science.

o   "Liceul de Informatica Tiberiu Popoviciu", Cluj-Napoca, Romania.

 

Summer School of Image Processing (SSIP)

2008 July 7-16 SSIP’08 at the Technical University of Vienna, Austria

2007 July 6-15 SSIP’07 at the University of Szeged, Hungary

 

ERASMUS/SOCRATES Internship

2007 March-May - at the University of Angers, France, LISA laboratory

 

 

 

Linguistic Abilities

 

English – good speaking, reading and writing.

Romanian – native speaker

 

 

General skills:

 

·       Analytical skills, fast learning capacity, excellent planning skills with great attention to detail.

·       Communication skills, ability to work both in a team and individual, ability to work with people.

·       Ability to prioritize work, problem-solving skills.

·       Setting high standards of performance for self and/or others.

 

 

Other info:

·       Driving license, Category B, acquired on 3 Nov 2004

 

Social Media Researcher Profiles:

·       Linkedin; ORCID; Brainmap;  Google Scholar; ResearcherID ; ResearchGate; Epistemio.

·       Machine Vision, Image And Video Processing Laboratory on Erris.Gov.RO