phd management in italy

Premio PhD per tesi di Dottorato - Cerimonia di premiazione

Premio PhD per tesi di Dottorato - cerimonia di premiazione L'Ateneo di Bologna, in collaborazione con Banca di Bologna, ha annunciato i vincitori del prestigioso Premio PhD, assegnato a cinque tesi di dottorato che si distinguono per la loro rilevanza sociale e tecnologica. Tra i progetti selezionati, spiccano ricerche che affrontano tematiche cruciali come la correlazione genotipo-fenotipo nella sindrome di Down, i rischi tossicologici di nuovi prodotti del tabacco riscaldato e l'adozione dell'Intelligenza Artificiale nelle organizzazioni. Questi studi dedicati a settori chiave, dall'oncologia alla finanza verde, dall'ingegneria biomedica alla gestione aziendale, hanno impatti tangibili sulla società e sull'ambiente. La cerimonia di premiazione si terrà il 19 aprile alle 17:00 presso la Sala Convegni Banca di Bologna di Palazzo De’ Toschi, offrendo un'occasione per celebrare l'innovazione e il talento accademico. L'evento è ad ingresso libero fino ad esaurimento posti. Per partecipare è necessario prenotare scrivendo a [email protected] entro il 17 aprile, specificando nell’oggetto "Premio PhD Bologna".

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PhD in Management

The PhD. Programme in Management is a 3-year international, intersectorial doctoral programme, which aims to prepare students to conduct high-profile research in the field of management, at universities, firms and research centres. A third level university course, the Programme is part of the Doctoral School at the University of Rome Tor Vergata and it is administratively based within the School of Economics, Department of Management and Law.

The Programme’s structure is composed of three tracks, namely Banking & Finance, Business Management & Accounting, and Public Management & Governance. Each track has its own coordinator and focuses on specific research activities, lectures and seminars according to the peculiar research interests covered. Furthermore, these tracks jointly organize a first year intertwined Research Methodology course aimed at developing, since the beginning, an appropriate research design knowledge base for the doctoral students.

During the 3 years, the scientific progress of the doctoral students is constantly monitored through the delivering of activity reports, the checking of the lectures’ attendance, and the evaluation of yearly assignments. Presenting at national and international conferences, and/or submitting studies for their potential publication, is also strongly encouraged.

The PhD. Faculty has published in a number of top-tier management-related journals and is continuously active in close scientific relationships with many Universities, academic networks and professional associations worldwide.

The School of Economics at the University of Rome Tor Vergata has a number of active ERASMUS Plus international agreements for the exchange mobility of lecturers and doctoral students. In this regard, many PhD. students in Management have been successfully awarded with the Doctor Europaeus PhD. over the years.

Currently, the PhD. in Management has a Cooperative Agreement active with the University of Hasselt on a joint Doctoral Programme (Double Degree) in Management. Relatedly, the Programme is part of the Sapiens Network (Horizon 2020 Marie-Curie European Project). Over time, it has also activated industrial partnerships with reputed research centers such as CASD - Center for Defense Higher Studies (Italian Ministry of Defense), Technoscience, and ISNART (National Institute for Tourism Research).

The PhD program in Management offers the following three tracks of specialization:

Banking and Finance

Topics in: Consumer finance, new media and financial communication, real estate finance, governance of financial intermediaries, and neurofinance.

Business Management and Accounting

Topics in: Management science and operations, marketing, organizational science and behaviour, strategy and entrepreneurship, financial and managerial accounting.

Public Management and Governance

Topics in: Strategy and performance management, organizational change and innovation, collaborative governance, inclusive development, nonprofit organizations, social enterprises and innovation.

Download the  PhD in Management brochure

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Research Methodologies attendance is compulsory for 1st year students. Moreover, some track lectures are compulsory also.

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News Archive

PhD Program in Management

The Luiss PhD Program in Management is a disciplined – but not disciplinary – learning path for high potential doctoral candidates. It offers concentrations in strategy, organization, innovation and entrepreneurship, marketing, accounting, and corporate finance. Primary areas of faculty research include: business model innovation, corporate governance, finance for innovation, project-based organizing, technology transfer and IPR management, international management, new venture formation, growth, and corporate entrepreneurship, organizational learning and adaptation, public management and accounting, social capital and innovation, and word-of-mouth-led innovation. Faculty focuses on diverse empirical contexts ranging from the aerospace, creative and telecommunications industries to the health service and the public sector. Luiss faculty has published papers in Administrative Science Quarterly, Industrial and Corporate Change, Journal of International Business Studies, Journal of International Management, Journal of Marketing Research, Organization Science, Psychological Science, Research Policy,  and  Strategic Management Journal .

AMA Rising Star Award – Giovanni Luca Cascio Rizzo

It’s a pleasure to inform everyone that Luca Cascio Rizzo, Management PhD Candidate, has won the 2023-24 AMA Rising Star Award! For official announcement, click here: Linkedin: https://www.linkedin.com/feed/update/urn:li:activity:7128018365666738177/) Official Website:  https://cbsig-ama.org/awards/

DEFERRAL OF TERMS: CALL FOR APPLICATIONS – XXXIX cycle (a.y. 2023/2024)

DEFERRAL OF TERMS   There has been a deferment of the terms established by D.R. n. 21 of 31 January 2023, concerning the deadlines for the competition by way of comparative evaluation for admission to Doctoral Research Programs – XXXIX cycle, published on the G.U. IV special series – Competitions and Exams – n. 15 of […]

STUART WIGHAM SCHOLARSHIP

EODF have launched the Stuart Wigham scholarship. The scholarship supports individuals who seek to advance their education in organization design by giving a bursary to those who may not otherwise be able to fund the educational investment. More about the EODF EODF stands for European Organisation Design Forum. It is a vibrant community of curious […]

Call for Applications: PhD in Management XXXIX cycle – NRRP – ITALIACAMP

We have published on our website an application for a competition by way of comparative evaluation for n. 2 places on the XXXIX cycle of research doctoral program in Management, within NRRP, M4 C2 13.3 “Introduction of innovative PhDs that address the innovation needs of enterprises and promote the recruitment of researchers in enterprises”.

Paper on JCR – Giovanni Luca Cascio Rizzo

It is a pleasure to inform all that the first paper of Giovanni Luca Cascio Rizzo, Management PhD student, titled “How Sensory Language Shapes Influencer’s Impact” was published on Journal of Consumer Research.  For all the information click here.    

CALL FOR APPLICATIONS – XXXIX cycle

We invite applications for 7 fully funded PhD scholarships (one out five provides an additional financial support for international candidates). As part of their applications, prospective PhD candidates need to submit a detailed research proposal (area of research – to be chosen from those indicated in Annex 2 Paragraph a) – must be indicated after the title), […]

Virtual Open Day

On January 30, 2023 the PhD in Management will hold a Virtual Open Day: interested candidates may ask their questions regarding the program and the admissions to the PhD Coordinator and the PhD Office. Join Us! Register here.

PhD Awards – Runner-up of Henry Chesbrough Best Student Paper Award 2022 

Titolo: “Open Innovation and Trust: A new framing for debate based on a systematic literature review of trust enablers and effects in OI settings” Autori: “Ginevra Assia Antonelli, Domenico di Prisco and Maria Isabella Leone” Premio: Runner-up of Henry Chesbrough Best Student Paper Award 2022 Conference: World Open Innovation Conference 2022   Two of our Ph.D. students, Ginevra […]

Avviso di selezione per il conferimento di n. 3 incarichi di tutorato nell’ambito dei Dottorati di ricerca istituiti presso la Luiss Libera Università Internazionale degli Studi Sociali Guido Carli

Si comunica che è stato pubblicato l’ Avviso di selezione per il conferimento di n. 3 incarichi di tutorato nell’ambito dei Dottorati di ricerca istituiti presso la Luiss Libera Università Internazionale degli Studi Sociali Guido Carli . Il bando è disponibile qui. Le candidature potranno pervenire entro il 16/01/2023 entro e non oltre le 16:00 […]

PhD Awards – Premio SIE per Tesi di Dottorato di ricerca in campo economico

Our PhD doctor, Manuel Romagnoli, recently won an important award “PhD Thesis in Economics area” XXII edition at SIE (Italian Society for Economics) for his thesis “Essays on the Co-Evolution between Strategies and Technologies”. Manuel Romagnoli is currently post-doc at the chair of Microeconomics at the Friedrich-Schiller University in Jena (Germany). He defended with laude […]

PhD Awards – Best paper and most promising researcher

Our PhD candidate, Giovanni Luca Cascio Rizzo, recently won an important award at Doctoral & Research Colloquium of Società Italiana Marketing that took place in Rimini on the 3rd and 4th of June. Giovanni Luca presented his paper on “How language Arousal and influencer type shape influencer credibility” and won the “Best paper and most […]

New Doctoral Representative

Through RD n. 57 of April 7, 2022, has been elected the new Doctoral Representative, Domenico Di Prisco.

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PHD PROGRAMME

Phd programme in management engineering.

The PhD programme in Management Engineering (DRIG) offers an advanced education together with the opportunity of carrying out research work in the fields of management, economics and industrial engineering.

The programme ensures that candidates build up a solid methodological background, allowing them to develop their multidisciplinary knowledge, an open minded approach to research and the ability to address problems in an innovative way, while combining different perspectives and approaches.

The Department of Management, Economics and Industrial Engineering’s commitment to research and its scientific collaborations with other institutions provide candidates with an ideal environment in which to pursue research in their personal fields of interest within a broad spectrum of different topics.

In order to get more information and support, we invite you  to fill the following enquiry form , specifying the PhD programme of interest.

Location: Milan

Language: English

Format: Full Time/Part Time

Duration: 3 to 4 years depending on the Programme

Application:

• Annual call:  May
• Additional calls for applications: see the section “How to apply” and the link here

Required degree: University Master of Science degree (or equivalent)

Contacts Email: [email protected]

This video brings the voice of PhD candidates, DRIG alumni, and external stakeholders giving an insight into the PhD experience and useful suggestions for future PhD candidates. It helps to understand what is the PhD programme in Management Engineering and why to consider this path in one’s career and competence development.

What is a PhD and Why doing the PhD programme

This video provides a presentation by our Programme coordinator, aimed to introduce the role of the Ph.D as a higher educational level and to provide useful information about the structure and opportunities of the Ph.D programme in Management Engineering.

ADMISSIONS AND SCHOLARSHIPS

• HOW TO APPLY
• SCHOLARSHIPS

To be admitted to the PhD programme, students must hold a University Master of Science degree (or equivalent). The most relevant background university studies are those in the fields of economics, management, and industrial engineering . However, students who hold degrees in other technical and scientific disciplines or in social sciences may also be admitted to the programme.

The online application opens once a year around mid-April for the full time format (Annual Call) ; application and eligibility check are permanent for the executive format.

Application period

The PhD academic year starts at the beginning of November .

The application period for each new PhD cycle starts with the Annual call, running from mid-May to June.

After the annual call,  there may be some Additional Calls for PhD places with scholarships linked to specific research topics. Candidates who apply to these additional calls will be enrolled to the ongoing PhD cycle .

Knowledge of English is required; to this end, applicants are required to submit one of the certificates listed here (Admission Criteria)  no later than end of October, if not already submitted at the closing date of the call. Failure to submit certificates within the established closing date for enrolment irrevocably results in the loss of the right to enrolment. Certifications are valid regardless of the date when they were awarded.

Citizens of Countries in which English is an official language are not required to certify their knowledge of English; the same applies to applicants who have been awarded or will be awarded academic qualifications by an institute in which all teaching activity is carried out in English.

These applicants must attach official documents to their application; in particular, where all courses are carried out in English, this needs to be certified by the corresponding academic institute.

To be admitted to the Doctorate Programme in Management Engineering (DRIG) applicants must apply through a competitive selection process.

Admission to the PhD programme is limited to a predetermined number of candidates according to the scholarships available in the programme. This ensures the optimal development of each candidate while enriching the group’s learning and investigation process.

The candidature may apply to different types of scholarship classified as:

Generic Scholarship (Annual Call)

• Elective Research in Management Engineering
• Oriented Research in Management Engineering
• Thematic Scholarship, also including interdisciplinary scholarships (Additional Calls).

Check the page  Calls and Regulations – Dottorati di Ricerca (polimi.it)  to read further details and apply.

For futher information please visit the PhD School website.

For further information about scholarships, please visit the following  page . Check the “open calls” section and look at the available scholarships in Management Engineering.

PhD PROGRAMME STRUCTURE

• GENERAL INFORMATION
• CONTENTS & COURSES
• PORTFOLIO OF COURSES

The PhD programme can be full time or part time , depending on the typology of tracks:

• General track (full-time): 3 years;
• Executive track : 4 years. For more information click here .
• International Agreements and Double PhD : 3/4 years. For more information click here .

The programme is built on three main pillars:

• Development of the doctoral thesis . The thesis is the hallmark of the Ph.D. programme. It allows students to develop leading-edge research competencies and to produce an original scientific contribution on a topic relevant for academics and practitioners.
• Main courses on research methodologies and leading-edge topics in management, economics and industrial engineering.
• Elective training activities . Students can customize their study plan depending on their research interests. The aim is to develop students’ scientific knowledge on specific topics and to expose them to the international scientific community by attending Ph.D. schools or workshops and presenting their research at international conferences.

Ph.D. candidates fulfil their research and training requirements under the supervision of scholars who are experts in their research fields.

At the following link you can find the research lines .

The Ph.D. thesis (125 ECTS) is an original contribution to the advancement of knowledge in the candidate’s research field. The research will be supervised by members of the doctoral faculty, who will provide guidance to the candidate in setting out and arranging the everyday activities involved in the thesis development. The thesis can be edited in the form of a monograph or a collection of papers .

At the end of each year, candidates will present the progress of the research project in front of a committee and will discuss it with a Discussant from the PhD Faculty. This is a fundamental step to advance from one year to the next.

At the conclusion of the PhD studies, the Faculty Board evaluates the candidates. Candidates who receive a positive evaluation submit their theses to two external reviewers for refereeing. If the evaluation is positive (or in any case after the comments received from the external reviewers are integrated), the candidates may defend the thesis in front of a Committee composed of three members, at least two of which must be external to the Politecnico.

The resulting thesis needs to be coherent with the research lines developed in the Department where the PhD programme is developed.

Ph.D. yearbooks and thesis

The thesis abstracts are published in our yearbooks:  https://www.dottorato.polimi.it/en/phd-programmes/engineering/management-engineering

Each PhD candidate must obtain at least 25 ECTS from courses. Each course lasts approximately one week and is composed of classroom lessons, individual study and group works.

All courses are taught in English.

• Schedule of courses 2021-2022
• Schedule of courses 2022-2023
• Schedule of courses 2023-2024

ORGANIZATION

Faculty Board

CAREER & PLACEMENTS

The Ph.D. programme aims to train professionals who are able to carry out high-quality research in the fields of Management, Economics and Industrial Engineering at universities or other research institutions. Ph.D. graduates from DRIG are also well equipped with distinctive skills and advanced knowledge to pursue a professional career in manufacturing and service companies, regulatory authorities and other public bodies.

In this framework, the following opportunities are open to those completing the Ph.D. programme:

• Post doc, research fellows and young lecturers in Italian and foreign universities;
• researchers and scholars of management, economics or industrial engineering in the research departments of public and private organisations;
• highly qualified personnel in research and training institutions, with the role of providing a link between universities and the business world, or in technology transfer centres in Italy and abroad;
• professionals in leading management and strategic consulting firms able to provide deep and advanced insight in areas of activity relating to the company itself;
• high level professional roles in national (ministries, regulatory authorities, local public institutions) and international (EIB, IMF, World Bank, European Commission, European Central Bank) public institutions;
• managerial roles in multinational companies with a strong focus on innovation;
• entrepreneurs in contexts characterized by a high level of innovation.

Support actions for placement are provided with the purpose of sharing experiences, services and information through a number of initiatives fitting the different types of career opportunities. Amongst the actions, the “Placement programme for PhD candidates” is the programme offered by the Career Service, in cooperation with the PhD school of Politecnico di Milano. 

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PhD in Management

• Call for applications
• PhD Programme Table
• PhD website
• Admission Board
• Training and research
• Academic board

The PhD Programme in Management covers several fundamental research domains: strategy, organizational behavior, marketing, innovation management and entrepreneurship, finance and financial intermediaries. The 4-year Programme offers specialization in two major areas: Management and Banking & Finance. Besides a series of common courses, candidates take specialized courses from one of the two areas.

Riccardo Fini

Coordinator of the PhD Course in Management

Dipartimento di Scienze Aziendali

Via Capo di Lucca 34 Bologna (BO)

[email protected]

Final Ranking list

• AMS PhD thesis (in Italian) Published

ITALY: 7 fully funded PhD scholarships in Management at LUISS

LUISS invites applications for 7 fully funded PhD scholarships (one out five provides an additional financial support for international candidates). As part of their applications, prospective PhD candidates need to submit a detailed research proposal ( area of research –  to be chosen from those indicated in Annex 2 Paragraph a)  – must be indicated after the title ), setting out the research puzzle, analytical approach and intended methodological choices, together with a CV, references and other documents.

Please check here for details of the  Call for Applications  (English version) Please check here for details of the  Call for Applications  (Italian version) Please check here for  Annex 2  (English version) Please check here for  Allegato 2  (Italian version) Please check here for  FORM C  (English version) Please check here for  MODELLO C  (Italian version)

APPLY HERE.

The  Deadline   for submission  of applications:  16:00 (CET), UTC+1 on 24 March 2023.

About the Programme

The PhD programme is comprised of four years of full-time study.

The overall path consists of research and teaching training, a visiting period abroad, and dissertation preparation. The first two years are dedicated to coursework.

Year 1 consists of disciplinary courses in management and research methods.

Year 2 is dedicated to courses on a chosen field of specialization, concluding with the development of a research proposal.

Years 3 and 4 are devoted to research and to dissertation preparation, culminating in the submission and defense of the thesis.

Along the entire learning path, students are also exposed to seminars and workshops on publication strategies and approaches to the international job market.

Please note that this educational structure may vary year per year, according to the students' research needs and the Academic Board decisions.

The PhD training courses are also open to students enrolled in PhD programmes of other universities, upon payment of a fee.

Visit the PROGRAM ME for more information.

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Toward a framework for selecting indicators of measuring sustainability and circular economy in the agri-food sector: a systematic literature review

• LIFE CYCLE SUSTAINABILITY ASSESSMENT
• Published: 02 March 2022

Cite this article

• Cecilia Silvestri   ORCID: orcid.org/0000-0003-2528-601X 1 ,
• Luca Silvestri   ORCID: orcid.org/0000-0002-6754-899X 2 ,
• Michela Piccarozzi   ORCID: orcid.org/0000-0001-9717-9462 1 &
• Alessandro Ruggieri 1  

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A Correction to this article was published on 24 March 2022

This article has been updated

The implementation of sustainability and circular economy (CE) models in agri-food production can promote resource efficiency, reduce environmental burdens, and ensure improved and socially responsible systems. In this context, indicators for the measurement of sustainability play a crucial role. Indicators can measure CE strategies aimed to preserve functions, products, components, materials, or embodied energy. Although there is broad literature describing sustainability and CE indicators, no study offers such a comprehensive framework of indicators for measuring sustainability and CE in the agri-food sector.

Starting from this central research gap, a systematic literature review has been developed to measure the sustainability in the agri-food sector and, based on these findings, to understand how indicators are used and for which specific purposes.

The analysis of the results allowed us to classify the sample of articles in three main clusters (“Assessment-LCA,” “Best practice,” and “Decision-making”) and has shown increasing attention to the three pillars of sustainability (triple bottom line). In this context, an integrated approach of indicators (environmental, social, and economic) offers the best solution to ensure an easier transition to sustainability.

Conclusions

The sample analysis facilitated the identification of new categories of impact that deserve attention, such as the cooperation among stakeholders in the supply chain and eco-innovation.

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Source: Authors’ elaboration. Notes: The graph shows the temporal distribution of the articles under analysis

Source: Authors’ elaborations. Notes: The graph shows the time distribution of articles from the three major journals

Source: Authors’ elaboration. Notes: The graph shows the composition of the sample according to the three clusters identified by the analysis

Source: Authors’ elaboration. Notes: The graph shows the distribution of articles over time by cluster

Source: Authors’ elaboration. Notes: The graph shows the network visualization

Source: Authors’ elaboration. Notes: The graph shows the overlay visualization

Source: Authors’ elaboration. Notes: The graph shows the classification of articles by scientific field

Source: Authors’ elaboration. Notes: Article classification based on their cluster to which they belong and scientific field

Source: Authors’ elaboration

Source: Authors’ elaboration. Notes: The graph shows the distribution of items over time based on TBL

Source: Authors’ elaboration. Notes: The graph shows the Pareto diagram highlighting the most used indicators in literature for measuring sustainability in the agri-food sector

Source: Authors’ elaboration. Notes: The graph shows the distribution over time of articles divided into conceptual and empirical

Source: Authors’ elaboration. Notes: The graph shows the classification of articles, divided into conceptual and empirical, in-depth analysis

Source: Authors’ elaboration. Notes: The graph shows the geographical distribution of the authors

Source: Authors’ elaboration. Notes: The graph shows the distribution of authors according to the continent from which they originate

Source: Authors’ elaboration. Notes: The graph shows the time distribution of publication of authors according to the continent from which they originate

Source: Authors’ elaboration. Notes: Sustainability measurement indicators and impact categories of LCA, S-LCA, and LCC tools should be integrated in order to provide stakeholders with best practices as guidelines and tools to support both decision-making and measurement, according to the circular economy approach

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Silvestri, C., Silvestri, L., Piccarozzi, M. et al. Toward a framework for selecting indicators of measuring sustainability and circular economy in the agri-food sector: a systematic literature review. Int J Life Cycle Assess (2022). https://doi.org/10.1007/s11367-022-02032-1

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Cloud computing.

Meeting Time: 09:45 AM‑11:00 AM TTh  Instructor: Ali Anwar Course Description: Cloud computing serves many large-scale applications ranging from search engines like Google to social networking websites like Facebook to online stores like Amazon. More recently, cloud computing has emerged as an essential technology to enable emerging fields such as Artificial Intelligence (AI), the Internet of Things (IoT), and Machine Learning. The exponential growth of data availability and demands for security and speed has made the cloud computing paradigm necessary for reliable, financially economical, and scalable computation. The dynamicity and flexibility of Cloud computing have opened up many new forms of deploying applications on infrastructure that cloud service providers offer, such as renting of computation resources and serverless computing.    This course will cover the fundamentals of cloud services management and cloud software development, including but not limited to design patterns, application programming interfaces, and underlying middleware technologies. More specifically, we will cover the topics of cloud computing service models, data centers resource management, task scheduling, resource virtualization, SLAs, cloud security, software defined networks and storage, cloud storage, and programming models. We will also discuss data center design and management strategies, which enable the economic and technological benefits of cloud computing. Lastly, we will study cloud storage concepts like data distribution, durability, consistency, and redundancy. Registration Prerequisites: CS upper div, CompE upper div., EE upper div., EE grad, ITI upper div., Univ. honors student, or dept. permission; no cr for grads in CSci. Complete the following Google form to request a permission number from the instructor ( https://forms.gle/6BvbUwEkBK41tPJ17 ).

CSCI 5980/8980 

Machine learning for healthcare: concepts and applications.

Meeting Time: 11:15 AM‑12:30 PM TTh  Instructor: Yogatheesan Varatharajah Course Description: Machine Learning is transforming healthcare. This course will introduce students to a range of healthcare problems that can be tackled using machine learning, different health data modalities, relevant machine learning paradigms, and the unique challenges presented by healthcare applications. Applications we will cover include risk stratification, disease progression modeling, precision medicine, diagnosis, prognosis, subtype discovery, and improving clinical workflows. We will also cover research topics such as explainability, causality, trust, robustness, and fairness.

Registration Prerequisites: CSCI 5521 or equivalent. Complete the following Google form to request a permission number from the instructor ( https://forms.gle/z8X9pVZfCWMpQQ6o6  ).

Visualization with AI

Meeting Time: 04:00 PM‑05:15 PM TTh  Instructor: Qianwen Wang Course Description: This course aims to investigate how visualization techniques and AI technologies work together to enhance understanding, insights, or outcomes.

This is a seminar style course consisting of lectures, paper presentation, and interactive discussion of the selected papers. Students will also work on a group project where they propose a research idea, survey related studies, and present initial results.

This course will cover the application of visualization to better understand AI models and data, and the use of AI to improve visualization processes. Readings for the course cover papers from the top venues of AI, Visualization, and HCI, topics including AI explainability, reliability, and Human-AI collaboration.    This course is designed for PhD students, Masters students, and advanced undergraduates who want to dig into research.

Registration Prerequisites: Complete the following Google form to request a permission number from the instructor ( https://forms.gle/YTF5EZFUbQRJhHBYA  ). Although the class is primarily intended for PhD students, motivated juniors/seniors and MS students who are interested in this topic are welcome to apply, ensuring they detail their qualifications for the course.

Visualizations for Intelligent AR Systems

Meeting Time: 04:00 PM‑05:15 PM MW  Instructor: Zhu-Tian Chen Course Description: This course aims to explore the role of Data Visualization as a pivotal interface for enhancing human-data and human-AI interactions within Augmented Reality (AR) systems, thereby transforming a broad spectrum of activities in both professional and daily contexts. Structured as a seminar, the course consists of two main components: the theoretical and conceptual foundations delivered through lectures, paper readings, and discussions; and the hands-on experience gained through small assignments and group projects. This class is designed to be highly interactive, and AR devices will be provided to facilitate hands-on learning.    Participants will have the opportunity to experience AR systems, develop cutting-edge AR interfaces, explore AI integration, and apply human-centric design principles. The course is designed to advance students' technical skills in AR and AI, as well as their understanding of how these technologies can be leveraged to enrich human experiences across various domains. Students will be encouraged to create innovative projects with the potential for submission to research conferences.

Registration Prerequisites: Complete the following Google form to request a permission number from the instructor ( https://forms.gle/Y81FGaJivoqMQYtq5 ). Students are expected to have a solid foundation in either data visualization, computer graphics, computer vision, or HCI. Having expertise in all would be perfect! However, a robust interest and eagerness to delve into these subjects can be equally valuable, even though it means you need to learn some basic concepts independently.

Sustainable Computing: A Systems View

Meeting Time: 09:45 AM‑11:00 AM  Instructor: Abhishek Chandra Course Description: In recent years, there has been a dramatic increase in the pervasiveness, scale, and distribution of computing infrastructure: ranging from cloud, HPC systems, and data centers to edge computing and pervasive computing in the form of micro-data centers, mobile phones, sensors, and IoT devices embedded in the environment around us. The growing amount of computing, storage, and networking demand leads to increased energy usage, carbon emissions, and natural resource consumption. To reduce their environmental impact, there is a growing need to make computing systems sustainable. In this course, we will examine sustainable computing from a systems perspective. We will examine a number of questions:   • How can we design and build sustainable computing systems?   • How can we manage resources efficiently?   • What system software and algorithms can reduce computational needs?    Topics of interest would include:   • Sustainable system design and architectures   • Sustainability-aware systems software and management   • Sustainability in large-scale distributed computing (clouds, data centers, HPC)   • Sustainability in dispersed computing (edge, mobile computing, sensors/IoT)

Registration Prerequisites: This course is targeted towards students with a strong interest in computer systems (Operating Systems, Distributed Systems, Networking, Databases, etc.). Background in Operating Systems (Equivalent of CSCI 5103) and basic understanding of Computer Networking (Equivalent of CSCI 4211) is required.

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University of Houston Lands 18 Programs in Latest QS World University Rankings

By Shawn Lindsey — 713-743-5725

• University and Campus

The University of Houston is, once again, demonstrating its strength as a global leader. UH has 18 programs ranked among the top in the world according to the 2024 edition of the QS World University Rankings by Subject , released today by QS Quacquarelli Symonds.

UH’s hospitality programs in the Conrad N. Hilton College of Global Hospitality Leadership led the way with a world rank of No. 35. The petroleum engineering program in the Cullen College of Engineering also ranked in the top 100 worldwide (51-100).

In its annual list, QS evaluated 55 narrow academic disciplines and five broad faculty areas by analyzing the reputation and research output of almost 5,000 institutions worldwide. In total, it provides independent comparative analysis on the performance of more than 16,400 individual university programs in 96 locations around the world.

“We are pleased to have yet one more accolade confirming the quality of our programs. Our faculty members are at the forefront of groundbreaking research spanning various fields, positioning UH as a global leader in advancing societal progress and fostering innovation,” said Diane Z. Chase, senior vice president for academic affairs and provost.

In addition to the 18 individual subjects that were ranked, UH’s earned an overall world ranking in three of the five broad disciplines: engineering and technology, natural sciences, and social sciences and management.

Using five key metrics— academic reputation, employer reputation, research citations, research impact and cross-border research collaboration. Of the almost 5,000 institutions evaluated, fewer than a third of the institutions earned a published world ranking. The U.S. led the rankings with 213 institutions, followed by the United Kingdom (103) and China (101).

“QS’ analysis of performance trends across nearly 16,000 university departments worldwide continues to illuminate factors influencing the quality of higher education institutions globally,” said QS senior vice president Ben Sowter. “An international outlook remains paramount, manifested through diversity of students, faculty body and research relationships. Additionally, universities experiencing upward mobility have benefited from sustained, targeted investment, highlighting the importance of government support. Meanwhile, the development of partnerships with industry correlates with improved performance in employment and research.”

UH Programs in the QS World Rankings by Subject:

Arts & Humanities

   - English Language & Literature                        

Social Sciences and Management (Overall Ranking)

   - Hospitality & Leisure Management                  

   - Accounting & Finance                                    

   - Economics & Econometrics                            

   - Education                                                    

   - Business & Management Studies

Engineering and Technology (Overall Ranking)

   - Petroleum Engineering                                  

   - Engineering – Chemical                                 

   - Engineering - Electrical & Electronic                

   - Engineering - Mechanical, Aeronautical & Ma.  

   - Computer Science & Information Systems       

Life Sciences and Medicine

   - Psychology                                                   

   - Medicine                                                      

   - Biological Sciences                                        

Natural Sciences (Overall Ranking)

   - Chemistry                                                    

   - Materials Science                                          

   - Mathematics

   - Physics & Astronomy

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