Ph.D. in Advanced Engineering Sciences (AES)




To train students to become highly competitive researchers who can generate knowledge and use it to conduct independent, original, and quality research that is internationally competitive in the fields of engineering, and sustainable production systems in order to impact on and encourage the scientific and technological development of the country.

Specific objectives

  • To generate knowledge to propose innovative solutions to current challenges in the professional practice.
  • To participate in research programs focused on maximizing the use of sustainable production processes.
  • To preserve principles of the professional practice based on truth and honor, thus seeking to benefit society with the correct attitudes and skills.
  • To train students to become researchers with skills that will allow them to develop, lead, and consolidate research and technological projects.
  • To promote the exchange of knowledge with other research groups through academic exchanges for both students and faculty members.


 As entry requirements, applicants must:
  • Have a Master's degree in any discipline akin to this Ph.D. program, such as electrical engineering, computer systems engineering, digital systems engineering, mechatronics, or manufacturing engineering

  • Be determined to study a graduate program and willing to carry out scientific research.

  • Know about and use different mathematical and computational proceedings that represent reality by means of models.

  • Propose engineering solutions with a focus on applied engineering

  • Be willing to succeed and have work spirit and team work skills.

  • Be interested in knowing about science and use it to timely solve problems.

  • Be responsible, hard working, constant, and disciplined.

  • Demonstrate social commitment by positively and responsibly transforming the environment.

  • Have a sense of social commitment.

  • Show environmental commitment by proposing sustainable solutions to problems.

  • Avoid any prejudice regarding other people's gender, background, or beliefs.


Graduate students from the Ph.D. in AES are intellectual assets with valuable skills and competencies in research and Ph.D. studies. They have a specific strength that combines professional training and the creativity implied in research. These are characteristics of students trained to become both professionals and researchers. Graduate students of the AES program are also able to address the technological demands of different socioeconomic sectors. Similarly, they are able to carry out research aimed at innovations for emergent sectors related to information technologies and manufacturing processes. Furthermore, with their training, graduate students are able to hold positions that require creativity, as well as outstanding leadership and management skills (e.g.: Ph.D. researcher, university professor, company researcher).  Finally, the program has two goals that complete the graduate’s profile: to foster professional and research awareness, so students recognize their ethical implications for the society.

 Degree Program & Research


The course is composed of eight semesters or terms. After having successfully completed every module, students are able to defend their Ph.D. thesis. The coursework per semester is as follows:

Semester​ ​ ​ ​ ​ ​ ​ ​









Research Seminar

Predoctoral Seminar

Research Project I

Research Project II

Research Project III

Research Project IV

Research Project V

Predoctoral Examination


The two seminars must be taken during the first two semesters. The first one has a strong focus on research, while the second is predoctoral. Only one module must be taken every semester, except during the eighth semester, when students must complete two modules. During the whole program, students have the support of a pre-assigned doctoral advisor. If the student’s research project is accepted, the committee will appoint a thesis committee.

Modules description:

    • Research Seminar

Literature review and update. Look for congresses and journals akin to the research topic. Identify research problem and field of knowledge. Update initial variables and research questions. Update thesis proposal. Identify research groups akin to the research topic.

    • Predoctoral Seminar.

      Literature review and update. Update final thesis proposal. Hand in and defend final thesis proposal in front of a thesis committee.

    • Research Project I

      Literature review and update. Reproduce previous research experiments to compare results. Define research methodology. Start dissemination of the research in international congresses. Present and discuss results with the thesis committee.

    • Research Project II

      Literature review and update. Make progress in the research methodology. Continue research dissemination in international congresses. Present and discuss results with the thesis committee. 

    • Research Project III

      Literature review and update. Make progress in research methodology and experimentation. Continue research dissemination. Present research progress, problem statement, and theoretical framework in front of the thesis committee.

    • Research Project IV

      Literature review and update. Apply research to cases. Obtain preliminary results. Continue research dissemination. Present research progress in front of the thesis committee.

    • Research Project V

      Literature review and update. Continue research application to cases and compare results. Obtain final results. Continue research dissemination. Present research progress in front of the thesis committee.

    • Predoctoral Examination

      Research conclusion. Continue research dissemination. Present final research progress in front of a thesis committee.

    • Doctoral Thesis

      Finish the thesis document. Thesis defense.


Module   Credits     Semester
Research Seminar 16 1
Predoctoral Seminar 12 2
Research Project I 16 3
Research Project II 16 4
Research Project III 16 5
Research Project IV 16 6
Research Project V 16 7
Predoctoral Examination 12 8
Thesis 44 8

The Ph.D. in Advanced Engineering Sciences has 164 credits to be covered. Every effective class hour equals 0.0625 credits, which means that one credit is obtained after 16 hours of effective learning activities. This is supported by Articles 13 and 14 from the 279 agreement drafted by the Secretary of Public Education of Mexico (SEP). These Articles set the credit value for every hour of effective learning activities and the minimum number of credits for every undergraduate and graduate program. As regards PhD courses, 150 are the minimum number of credits after a Bachelor's degree and 75 after a Master's degree program. Therefore, the program meets the SEP requirements, since neither UACJ nor SEP establish a maximum number of credits for a Ph.D. program.

According to the syllabus, students must complete one module every semester during the first seven semesters, while two modules must be completed in the last semester. The progresses that students make in every Research Project module seek to help them successfully complete the Doctoral Thesis module. Every semester is composed of 17 weeks of classes, discarding local festivities and days off granted by the University in compliance with Mexico's Federal Labor Law.

A learning activity is understood as "any activity in which students participate in order to acquire the knowledge and skills required by the program." Learning activities may be either lead by professors within the university facilities or performed individually by students as part of autonomous learning. Since Research Project modules are prerequisites one of another, students can take one module only if they have successfully completed the previous module in the previous semester.

As part of their training, students will be encouraged to attend academic activities related to their research topic. Similarly, the University will support student's participation – either as attendees or speakers – in congresses, forums, workshops, conferences, and internships, since this would provide feedback to the research projects. Finally, students will be also encouraged to write and present articles related to their research topic. At all times they will receive the support from their doctoral advisors and other academics.


There are two research areas to be followed: signals processing and production processes.

1. Signal processing:

This area focuses on the creation, processing, and amplification of signals for their manipulation and interpretation. Signals sources are many; they may come from sensors measuring physical signals such as pressure, temperature, and humidity, or they may originate from a video camera, in which case signals processing will depend on the nature of such signals.

The fields of application for signal processing include mechatronics, biomedicine, telecommunications, and automotive and industrial systems, to mention but a few. Students choosing this research line will be able to focus their research on robotics, image and speech processing, random processes, and digital filters, among others, in order to propose quality solutions in the aforementioned application fields.

    • Image processing: it involves the application of signal processing techniques to any type of image or video sequence. Some applications of image processing include X-rays, CT scans, and MRI (magnetic resonance imaging), which are helpful in timely diseases diagnosis.
    • Computer vision: also known as machine vision. It aims to give eyesight to computers and other machines. Most of the literature refers to it as the construction of explicit descriptions of 3D scenes from their 2D images in terms of the properties of the structures present in these scenes.
    • Pattern recognition: it assigns a category to objects or events depending on their characteristics. Recognizing implies associating an object with a label. For instance, the label cat is associated with all cat breeds in such a way that, when we see a Turkish Angora cat, a Bengal cat, or a Russian Blue cat, we associate (recognize) them all with the cat label, even without really knowing which breed it is.


Humberto de Jesús Ochoa Domínguez 

Osslan Osiris Vergara Villegas

Vicente García Jiménez 

2. Production processes:

Production process refers to a series of activities combined in order to transform raw materials into finished products. This implies a raw materials procurement process, a raw materials transformation process, and a finished product distribution to customers. Since there are several stages in a production process, this research line is divided into five sub-areas.

    • Lean manufacturing: it refers to a series of techniques applied to a production system to increase its efficiency. Even though there are more than 26 reported techniques, research in this course focuses on lean manufacturing models and critical success factors of manufacturing techniques.  
    • Human factor and ergonomics: ergonomics is the science that studies the integration of the human factor into production systems. It aims at adapting production processes to the human factor, and not the other way around.
    • Supply chain: it comprises all activities by which materials are supplied along the production process. The most common studied phenomena in supply chain include lean thinking, supply chain design, and sustainable supply chain.  
    • Industrial sustainability: sustainability is a discipline that seeks to balance production systems with the environment. Several approaches exist to achieve such a balance, including the ISO 1400 family of standards. Industrial sustainability studies the industrial impact, industry clusters, and mechanisms for industry clusters.
    • Production technologies: they include production methodologies or methods, such as statistical process control, Kaizen, and Kanban. Many soft production technologies studied are part of lean manufacturing, while hard production technologies involve physical elements, including machinery and equipment, automated systems, computer-aided manufacturing, technology groups, and robots, among others.   



Jorge Luis García Alcaraz

Juan Luis Hernández Arellano

Aidé Aracely Maldonado Macías

Liliana Avelar Sosa



Name NSR *            Email
Humberto de Jesús Ochoa Domínguez

Vicente García Jiménez

Osslan Osiris Vergara Villegas

Jorge Luis García Alcaraz

Juan Luis Hernández Arellano

Aidé Aracely Maldonado Macías

Liliana Avelar Sosa

*Level in the National System of Researchers     ​


Name Country               University
José Álvarez Rodríguez Spain Universidad Carlos III de Madrid
Vicente Cloquell-Ballester Spain Universitat Politècnica de València
Melchor Gómez Spain Universidad del País Vasco UPV/ UHU
Juan Gómez Berbis Spain Universidad Carlos III de Madrid
Rosa González Ramírez Chile PUC Valparaíso
Carlos Javierre Lardies Spain Universidad de Zaragoza
Juan Latorre Biel Spain Universidad Pública de Navarra
Felipe Llaugel Dominican Republic Universidad Autónoma de Santo Domingo
Eduardo Martínez Cámara Spain Universidad de La Rioja
John Morales Antonio Dominican Republic IEES Loyola
Miguel Mujica Holland Hogeschoolvan Amsterdam
Mercedes Pérez de la Parte Spain Universidad de La Rioja
Alejandro Rodríguez González Spain Universidad Politécnica de Madrid
Rafael Valencia García Spain Universidad de Murcia
Emilio Jiménez Macías Spain Universidad de La Rioja
Julio Blanco Fernández Spain Universidad de La Rioja
Juan Carlos Sáenz Diez Muro Spain Universidad de La Rioja
José María Moreno Jiménez Spain Universidad de Zaragoza
Guillermo Cortes Robles Mexico Instituto Tecnológico de Orizaba
Diego Alfredo Tlapa Mendoza Mexico Universidad Autónoma de Baja California
Jorge Limón Romero Mexico Universidad Autónoma de Baja California
Sergio Cabrera USA University of Texas at El Paso
KR Rao


University of Texas at Arlington
José Salvador Sánchez Garreta Spain Universitat Jaume I

 Academic Connections​


The program promotes the following connections:

National and international academic stays

Funding is available through different options:

  • UACJ calls for mobility application
  • Additional funding resources for the different types of exchanges:
    • National academic stays aid
    • International academic stays aid
    • Santander academic mobility grants
    • International mobility scholarships

Student exchanges

Students are advised to go on at least one academic exchange – either national or international, although international exchanges encourage further internationalization of the program. Please note that student mobility is the consequence of previous faculty mobility or a pre-existent collaboration between faculty members at UACJ and academics from other universities. This allows students to take as much advantage as possible from their academic stays.

Also, exchanges are only available after having successfully completed the first four semesters of the Ph.D. program. At this stage, students are expected to: 1) have a clearly defined research problem and 2) work more independently from their thesis advisors.

Available funding for student exchanges include:

  • Conacyt mixed scholarships
  • Grants provided by UACJ calls for application
  • Funds for research projects
  • International mobility scholarships
  • Education supporters, including Fundación Carolina and Iberus, among others

Joint projects

The internationalization of this Ph.D. program depends on the ability of faculty members to participate in academic projects with other institutions. To support joint projects, students and professors can apply for a bilateral fund, in which universities involved in the joint collaboration are engaged in financial backing.


Solid research products (PSI for its acronym in Spanish)

A joint PSI is the best evidence of a productive academic mobility. Joint PSIs can include a published journal article, book chapter, or patent, among others. PSIs are only possible thanks to academic stays, student exchanges, and joint projects.


Academic partnerships

Full-time professors collaborate with academics from the following universities (see table). Most of these academics are external advisors of the Ph.D. in AES.

Academic Partnerships ​
Universidad de Zaragoza Spain​

Universidad de La Rioja


Universidad Nacional de Colombia


Universidad Autónoma de Baja ​​California​


Instituto Tecnológico de Orizaba​


Universidad del Valle

Universidad del Rosario Colombia

Universidad de Murcia


Universidad Carlos III de Madrid


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January 2017



Registration link (Prospective students):

Registration link: (EXANI III):


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