BIOLOGY |
APPLIED SCIENCES |
- Recovery, conservation, monitoring, and characterization of plant biodiversity; - Study of the mechanisms of interaction between plant organisms and the environment; - Use of plants and microorganisms in environmental recovery and remediation; - Analysis of microbial communities and study of the interaction between microorganisms and between micro- and higher organisms; - Study of the cellular and molecular mechanisms underlying tumor pathology; - Analysis of the response of healthy or pathological human cellular models to treatment with molecules of natural and/or synthetic origin; - Regulation of metabolic pathways in the processes of cell proliferation, survival, and differentiation; - Identifying and characterizing bioactive secondary metabolites from natural sources and designing, synthesizing, and evaluating derivatives. |
- Design and development of complex and secure software systems; - Design of decision support systems based on machine learning techniques and optimization methods, both exact and based on meta-heuristics; - Analysis and design of mathematical models for the analysis of images and the modeling and numerical solution of systems of complex equations; - Diagnostics, monitoring, or experimentation (people or environment and territory or structures and infrastructures); - Security of IT and technological infrastructures; - Analysis, refurbishment, and preservation of the relevant environmental, urban, historical, and architectural heritage; - Structural or geotechnical safety of structures or infrastructures; - Use of advanced numerical analysis or artificial intelligence for studying structures and infrastructure or using new or recycled materials in civil engineering. |
Biology |
Applied Sciences |
The curriculum aims to train highly qualified researchers with an interdisciplinary background capable of independently designing and conducting fundamental and applied research in various fields of biology. The research areas primarily focus on microbial, animal, and plant organisms, emphasizing cellular, molecular, and morpho-functional investigations. Through this curriculum, Ph.D. students will develop skills that will prepare them for diverse career opportunities, including basic and applied research in academia, public and private research institutions. They will also be equipped to apply their knowledge in environmental monitoring, biodiversity conservation, restoration, and various biomedicine sectors. |
Ph.D. candidates who undergo training in this curriculum will gain the expertise required to excel in information science, structural monitoring, and environmental monitoring technologies. They will acquire proficiency in integrating numerical and structural analysis techniques, optimization methods, data and knowledge management, and software engineering. This comprehensive skill set will enable them to effectively tackle the design and safety analysis of structures and infrastructure. Thanks to their interdisciplinary solid preparation, Ph.D. graduates will be able to contribute significantly to developing innovative solutions and applying advanced methodologies in various fields, including civil engineering, environmental resource management, and infrastructure safety. The curriculum is designed to equip aspiring researchers with the necessary skills to autonomously plan and execute research endeavors in diverse interdisciplinary fields within academic settings and various public or private institutions. The focal research areas encompass the proficient utilization of quantitative and experimental methods, fostering the development of groundbreaking solutions and innovations. |
ARAMINI | Andrea | Dompé farmaceutici | ||
BAVOTA | Gabriele | Università della Svizzera Italiana | ||
CALLARI | Carlo | Università degli Studi del Molise | Bioscienze e Territorio | |
CHINI | Maria Giovanna | Università degli Studi del Molise | Bioscienze e Territorio | |
CUTONE | Antimo | Università degli Studi del Molise | Bioscienze e Territorio | |
DEL CIOPPO | Pasquale Lino | Key Partner s.r.l. | ||
DI BARTOLOMEO | Sabrina | Università degli Studi del Molise | Bioscienze e Territorio | DEPUTY COORDINATOR |
DIVINO | Fabio | Università degli Studi del Molise | Bioscienze e Territorio | |
FABBROCINO | Giovanni | Università degli Studi del Molise | Bioscienze e Territorio | |
FORTINI | Paola | Università degli Studi del Molise | Bioscienze e Territorio | Resp. Curr. BIOLOGY |
IZZO | Giuseppe | Università degli Studi di Napoli Federico II | Matematica e Applicazioni "Renato Caccioppoli" | |
MAGLIULO | Gennaro | Università degli Studi di Napoli Federico II | Strutture per l'Ingegneria e l'Architettura | |
MORABITO | Domenico | Università di Orleans | Lab. de Biologie des Ligneux et des Grandes Cultures | |
NACLERIO | Gino | Università degli Studi del Molise | Bioscienze e Territorio | |
PARLATO | Gennaro | Università degli Studi del Molise | Bioscienze e Territorio | |
OLIVETO | Rocco | Università degli Studi del Molise | Bioscienze e Territorio | Resp. Curr. APPLIED SCIENCES |
RAINIERI | Carlo | Consiglio Nazionale delle Ricerche | Istituto per le Tecnologie della Costruzione | |
RICCIARDI | Stefano | Università degli Studi del Molise | Bioscienze e Territorio | |
RICCIUTI | Giuseppe | Amarena Company s.r.l. | ||
SANDOLI | Antonio | Università degli Studi del Molise | Bioscienze e Territorio | |
SANTUCCI de MAGISTRIS | Filippo | Università degli Studi del Molise | Bioscienze e Territorio | COORDINATOR |
SCALABRINO | Simone | Datasound | ||
SCIPPA | Gabriella Stefania | Università degli Studi del Molise | Bioscienze e Territorio | Coordinator UNIMOL Doctoral School |
SEGATTO | Marco | Università degli Studi del Molise | Bioscienze e Territorio | |
SGAMBATI | Eleonora | Università degli Studi del Molise | Bioscienze e Territorio | |
TRIZIO | Ilaria | Consiglio Nazionale delle Ricerche | Istituto per le Tecnologie della Costruzione | |
TRUPIANO | Dalila | Università degli Studi del Molise | Bioscienze e Territorio |
Name | Hours | Description | Curriculum |
Computer Vision: From Image Capture to Pattern Recognition |
12 |
The course aims to provide Ph.D. students with the fundamentals of Computer Vision and the related topics such as Image Acquisition/Processing and Pattern Recognition, including application examples in various fields. Starting from the principles of still and moving imagery, students will be introduced to the basics of image capture through digital imaging sensors, as well as to the main concepts behind image processing methodologies and algorithms such as: Brightness/Contrast/Saturation Adjustment, Foreground/Background Detection, Image Segmentation, Features Extraction, Motion Detection, and Object Tracking. Students will also learn how these techniques can be used to capture relevant features in both geometric and organic shapes and to recognize specific patterns of interest. The theoretical elements will be accompanied by practical examples of computer vision applications in various application domains. |
BIOLOGY AND APPLIED SCIENCES |
Summary of topics:
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Design and Execution of Empirical Studies | 12 |
The course aims to provide Ph.D. students with basic knowledge about commonly used techniques for conducting empirical studies. The course will cover both quantitative and qualitative analysis techniques. Regarding quantitative methods, the course will focus on surveys, case studies, and controlled experiments. As for qualitative methods, interviews, focus groups, and record analysis will be addressed. At the end of the course, Ph.D. students will be able to independently determine which types of empirical studies are best suited for their specific research. They will also be able to determine how to analyze the results and how to report them using tables and figures. Summary of topics:
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BIOLOGY AND APPLIED SCIENCES |
R basis | 16 |
The course will provide the most important basic elements for using R (from the overall paradigm to coding principles), allowing students to become familiar with the software. Since R has now become the reference software among scientists and researchers for statistical analysis, students will be provided with an extraordinary tool to analyze the data they will collect during their Ph.D. course. Moreover, R's functionalities for generating high-quality graphics will enable students to produce complex figures for their scientific manuscripts. These skills will be equally applicable by students to any type of data belonging to both the molecular and environmental aspects of biological sciences. Summary of topics:
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BIOLOGY AND APPLIED SCIENCES |
Industrial biotechnology for the production of recombinant proteins | 12 | The course will provide students with a thorough knowledge about the main methods and systems for the industrial production of recombinant proteins. Specific topics are:
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BIOLOGY |
Physical and numerical modeling in applied sciences | 12 | The course aims to illustrate the principles of modeling in applied sciences by exploiting physical and numerical reproduction. It provides some basic tools for creating models of real objects and processes that allow studying the prototype under multiple conditions by simplifying it. Numerical modeling supports the experimental part by exploring, for example, the influence of varying parameters that cannot be controlled in physical model tests. The extrapolation of the experimental results often relies on physical considerations combined with a mathematical model. On the other side, numerical models need experiments for proper calibration. Through a combination of both approaches, modeling can uncover complementary information of interest. The course will go through the modeling process from conception to the final stage of result exploitation. The principles discussed in this course will provide a framework for modelling, considering different options and with some practical examples. The part on the output exploitation will focus on the effective selection, organization, and presentation of results for research purposes. These objectives are consistent with the Ph.D. program in Biology and Applied Sciences, aiming at developing advanced scientific and technological profiles to independently conduct research activities by developing strategies for the analysis and solution of complex problems. | APPLIED SCIENCES |
Introduction to Numerical Methods for Ordinary Differential Equation | 16 | The main goal of the course is to provide the knowledge on the main approximation techniques that allow the simulation of real phenomena described by ordinary differential equations. In particular, the fundamental features of a generic numerical method will be introduced and the stability properties of some schemes belonging to the classes of linear multistep methods and Runge-Kutta type methods will be analyzed. The importance of identifying efficient numerical schemes and using reliable error estimation techniques will be emphasized. Based on the presented concepts, appropriate numerical simulations will be carried out in the Matlab environment to experimentally analyze the performance of some solvers based on the methods illustrated in the course. | BIOLOGY AND APPLIED SCIENCES |
Effective science communication: basic writing and communication techniques for doctoral students | 8 | The aim of the course is to provide PhD students with the basic tools related to writing and communicating scientific results. Students will acquire the theoretical foundations necessary for effectively organizing the reading and writing of a scientific article, with particular attention to evaluating the manuscript draft up to the final version, stylistic and linguistic elements, as well as the theoretical aspects supporting the preparation of an oral presentation of scientific data and results.
The theoretical elements will be accompanied by practical exercises, both individual and group-based, through which students will develop independent judgment regarding the communication strategies to be applied. Additionally, students will gain experience in written and verbal language skills and communication by interacting with colleagues and the teacher, as well as through the presentation of scientific data and related results. Content of the course:
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BIOLOGY AND APPLIED SCIENCES |
Microorganisms and plants for bioremediation | 16 | The objectives of the Doctoral School in Biology and Applied Sciences, Biology curriculum, encompass the training of highly qualified personnel with interdisciplinary preparation, capable of independently planning and carrying out foundamental and applied research on different biological systems. Consistently with these objectives, the course “Microorganisms and plants for bioremediation” aims to provide knowledge and understanding of the role of microorganisms and plants in the process of environmental remediation. Special attention is paid to the mechanisms of pollutant uptake/stabilization/degradation by plants and/or microorganisms, depicting technical scenarios and providing scientific guidelines for the application of viable plant/microorganism-based technologies for the decontamination or stabilization of different environmental contexts. Upon completion of this course, students will understand the important role of plants and microorganisms in environmental restoration and will be able to assess/analyze the toxic effects of different sources of environmental contamination. | BIOLOGY |
Sustainable timber structures in seismic areas: basis of design | 16 | Timber structures are highly efficient structural systems that, thanks to their characteristics of ease and speed of construction, transportation, material sustainability, energy efficiency, eco-compatibility, and good seismic response, have become a valid alternative to traditional structures. In addition to long-span roofs, bridges, and floors, timber elements are successfully used to create highly performing timber buildings for commercial and residential purposes in seismic-prone areas and, more recently, for the structural and energy retrofitting of existing buildings. The course focuses on the general aspects concerning the basics of designing structural elements made of solid and glulam timber, subassemblies, and mechanical and carpentry connections within the framework of national and European standards, emphasizing research advancements. Subsequently, both technological aspects and the seismic behavior of the most common types of timber buildings will be addressed, such as CLT buildings, light and heavy timber frame buildings, and blockhouse buildings, with particular attention to the role of traditional or innovative solutions for connection systems to enhance seismic resistance and environmental sustainability. Finally, the course addresses the latest research advancements concerning the use of timber products (e.g., solid or lightweight timber panels, braces, etc.) for combined seismic and energy retrofitting of existing buildings or for the structural rehabilitation of ancient timber members. | APPLIED SCIENCES |
Deep Learning in Python for image Recognition | 12 | The course aims to teach the fundamental concepts of using the Python programming language and the PyTorch library for image recognition in the field of deep learning on neural networks. It specifically focuses on the "Visual Transformer" and "Graph Neural Network" layers, providing in-depth understanding and practical knowledge. |
BIOLOGY AND APPLIED SCIENCES |
Name | Topics |
English | English represents the most common tool for conducting research activities in the relevant scientific field. The intention is to offer training activities dedicated to improving language skills. Dedicated lessons and seminars will aim to develop the written and oral expression skills of doctoral students in their research fields. |
English represents the most common tool for conducting research activities in the relevant scientific field. The intention is to offer training activities dedicated to improving language skills. Dedicated lessons and seminars will aim to develop the written and oral expression skills of doctoral students in their research fields. | |
Informatics | Courses and seminars for the use of software and advanced programming in different languages and platforms are selected based on curricular needs. In particular, the PhD student will acquire basic knowledge and skills to identify suitable strategies for solving problems, as well as analyze data and interpret them using specific computer applications and databases. |
Management of the research and knowledge of the European and international research system | Cycles of seminars, conducted by internal specialists at the University, on accessing calls for European and national funding programs. Intensive course on the preparation of an international scientific research project. |
Exploitation and dissemination of results, intellectual property and open access to data and research products | Seminars and practical-theoretical courses on tools and methodologies useful for communicating scientific research. In-depth seminars on the legal, economic, ethical and social aspects of intellectual property of scientific research results. |
Fundamental principles of ethics, gender equality and integrity | Cycles of seminars aimed at promoting a culture of equal opportunities, respect and inclusion. Specifically, the objectives are:
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Thesis | Name | Curriculum | Tutor | ||
PhD "Machine Learning and Formal Methods for Android Malware Detection" | Rosangela | CASOLARE | Applied Sciences | Antonella SANTONE | |
PhD "Tecnologie Innovative per il Monitoraggio di Strutture Storiche e la Gestione degli Interventi" | Luigi | CIERI | Applied Sciences | Giovanni FABBROCINO | Carlo RAINIERI |
PhD "Identification of Novel Regulatory Mechanisms to Control Cholesterol Homeostasis: a Focus on Brain Cells" | Mayra | COLARDO | Biology | Marco SEGATTO | Sabrina Di Bartolomeo |
PhD "Effects of Bovine Lactoferrin on Iron Dysregulation and Oxidative Stress Induced by HIV-1 TAT and Sars-Cov-2 Spike Viral Proteins" | Giusi | IANIRO | Biology | Giovanni MUSCI | |
PhD "Contribution to the Taxonomy of the Genus Amaranthus: Seed Observations and Characterization of Seed Oil" | Amara Noor | HUSSAIN | Biology | Paola FORTINI | Duilio IAMONICO |
PhD "Chloroplast and Nuclear Genetic Diversity and Differentiation Across European Taxa of White Oaks (Quercus L. Section Quercus)" | Elisa | PROIETTI | Biology | Paola FORTINI | Piera DI MARZIO |
PhD "Studio e Sviluppo di Workflow VPL nella Modellazione Parametrica per la Documentazione, l'Analisi e il Monitoraggio del Costruito Storico." | Andrea | RUGGIERI | Applied Sciences | Ilaria TRIZIO | |
PhD "Paths and Tours on Graphs: Variants and Extensions in the Context of Autonomous Vehicles" | Davide Donato | RUSSO | Applied Sciences | Giuseppe IZZO | Giovanni CAPOBIANCO |
Name | Curriculum | Tutor | Co-Tutor | |
Nicoletta | BALLETTI | Applied Sciences | Rocco OLIVETO | Stefano RICCIARDI |
Anastazija | DIMITROVA | Biology | Stefania SCIPPA | |
Stefano | ERCOLESSI | Applied Sciences | Giovanni FABBROCINO | Carlo RAINIERI |
Martina | FALCIONE | Biology | Dalila TRUPIANO | Stefania SCIPPA |
Michele | GUERRA | Applied Sciences | Rocco OLIVETO | Fausto FASANO |
Sayyeda Hira | HASSAN | Biology | Stefania SCIPPA | Dalida TRUPIANO |
Antonio | MINÒ | Biology | Luigi AMBROSONE | Francesco LOPEZ |
Giovanni | ROSA | Applied Sciences | Rocco OLIVETO | Simone SCALABRINO |
Ilenia | ROSATI | Applied Sciences | Carlo RAINERI | Giovanni FABBROCINO |
Name | Curriculum | Tutor | Co-tutor | Referente | |
Cristina | CAVONE | Biologia | Gino NACLERIO | Antonio BUCCI | Stefania SCIPPA |
Giorgia | DEL CIOPPO | Biologia | Dalila TRUPIANO | Simone SCALABRINO | |
Domenico | D’ORAZIO | Scienze Applicate | Rocco OLIVETO | ||
Emanuela | GUGLIELMI | Scienze Applicate | Simone SCALABRINO | Rocco OLIVETO | |
Mohamed | KOUHEN | Biologia | Dalila TRUPIANO | ||
Noemi | MARTELLA | Biologia | Marco SEGATTO | ||
Luca | QUARANTA | Biologia | Paola FORTINI | ||
Alessandra | RENELLA | Biologia | Stefania SCIPPA | ||
Breno | RIBEIRO NOGUEIRA | Scienze Applicate | Carlo CALLARI | Fabrice Gatuingt (Université Paris, Saclay; ENS Paris Saclay); Giuseppe Rastiello (CEA Paris, Saclay; ENS Paris Saclay); Cédric Giry (Université Paris, Saclay; ENS Paris Saclay) | |
Miriam | RUSSO | Biologia | Sabrina DI BARTOLOMEO |
Name | Curriculum | Supervisor | Co-Supervisor | Co-supervisor | |
Francesca | FANTASMA | Biologia | Maria Giovanna CHINI | Maria IORIZZI | Gabriella SAVIANO |
Daniele | FANTOZZI | Biologia | Gabriella Stefania SCIPPA | Gabriella SFERRA | |
Deborah | GARGANO | Biologia | Sabrina DI BARTOLOMEO | ||
Anna | GILLINI | Biologia | Gabriella Stefania SCIPPA | Dalila TRUPIANO | |
Michela | MORELLI | Applied Sciences | Maria Ausilia SIMONELLI | Stefano RICCIARDI | |
Antonella | NIRO | Biologia | Antimo CUTONE | Giovanni MUSCI | |
Luis Rodrigo | PEREZ PINTO | Applied Sciences | Filippo SANTUCCI de MAGISTRIS | Tony FIERRO | |
Vadym | SAMUKHA | Biologia | Maria Giovanna CHINI | Maria IORIZZI | |
Michela | VARONE | Biologia | Marco SEGATTO | Andrea ARAMINI |
Cognome | Nome | Curriculum | Tipo | Supervisore | Co-Supervisore | Co-supervisore |
CIMORELLI BELFIORE | Roberta | Scienze applicate | Borsa di studio DM 118/2023 - Transizioni digitali e ambientali (M4C1-Inv. 3.4) Tematica: “Progettazione e analisi di primitive crittografiche per il controllo degli accessi su dati cifrati” CUP: H43C23000200001 | Anna Lisa FERRARA | Gennaro PARLATO | |
GRANDÓN SOLIZ | Carla Jimena | Scienze applicate | Borsa di studio ordinaria riservata a laureato all’estero | Giovanni FABBROCINO | Antonio SANDOLI | |
IEZZI | Simona | Scienze applicate | Borsa di studio DM 118/2023 PNRR (M4C1-Inv. 4.1) Tematica: “Progettazione e validazione di soluzioni di ingegneria sostenibili e sicure per la rigenerazione e lo sviluppo delle Aree Interne” CUP: H43C23000220001 | Antonio SANDOLI | Ilaria TRIZIO | |
MICONI | Federica | Scienze applicate | Borsa di studio ordinaria | Ilaria TRIZIO | Antonio SANDOLI | |
PENSABENE | Daniele | Biologia | Borsa di studio DM 118/2023 PNRR (M4C1-Inv. 4.1) Tematica: “Studio dei meccanismi molecolari della neurodegenerazione e identificazione di nuovi bersagli terapeutici per le patologie cerebrali” CUP: H43C23000220001 | Marco SEGATTO | Sandra MORENO | |
REKHA | Sabiha Ashtara | Scienze applicate | Borsa di studio finanziata dall’Istituto per le Tecnologie della Costruzione del Consiglio Nazionale delle Ricerche CNR Tematica: “Gestione multiscalare in ambiente digitale dei centri minori nelle Aree Interne | Antonio SANDOLI | Giovanni FABBROCINO | |
SALZANO | Francesco | Scienze applicate | Senza borsa di studio | Remo PARESCHI | Rocco OLIVETO | |
VALERI | Manuela | Scienze applicate | Borsa di studio finanziata con fondi dipartimentali DiBT. Tematica: Strumenti digitali per la gestione della sicurezza e la manutenzione dei ponti stradali nell'ambito del rinnovato quadro normativo nazionale” | Giovanni FABBROCINO | Adrinana MARRA |