Dorantes, Dante

Profile URL
https://hdl.handle.net/20.500.11779/2688
Name Variants
Dorantes Gonzalez, Dante Jorge & Dante J. Dorantes & Dante J. Dorantes González & Dante Jorge Dorantes Gonzalez & Dante Jorge Dorantes-Gonzalez & Dante Jorge Dorantes González & Dante Jorge Dorantes-González & Dorantes-Gonzalez, Dante Jorge
Job Title
Email Address
dorantesd@mef.edu.tr
Main Affiliation
02.03. Department of Mechanical Engineering
Status
Current Staff
Website
ORCID ID
0000-0003-1283-7548
Scopus Author ID
39261297100
Turkish CoHE Profile ID
Google Scholar ID
WoS Researcher ID
LHH-7224-2024
Files
1728693008-academic-1500003537.avif (15.93 KB)

Research Topics

Domains
Physical SciencesLife Sciences
Fields
EngineeringPhysics and AstronomyNeuroscience
Subfields
Mechanics of MaterialsBiomedical EngineeringAtomic and Molecular Physics, and OpticsCognitive Neuroscience
Specific Research Areas
Ultrasonics and Acoustic Wave Propagation
Photoacoustic and Ultrasonic Imaging
Force Microscopy Techniques and Applications
Acoustic Wave Resonator Technologies
Neuroscience, Education and Cognitive Function

Sustainable Development Goals

NO POVERTY1
NO POVERTY
0
Research Products
ZERO HUNGER2
ZERO HUNGER
0
Research Products
GOOD HEALTH AND WELL-BEING3
GOOD HEALTH AND WELL-BEING
2
Research Products
QUALITY EDUCATION4
QUALITY EDUCATION
1
Research Products
GENDER EQUALITY5
GENDER EQUALITY
0
Research Products
CLEAN WATER AND SANITATION6
CLEAN WATER AND SANITATION
0
Research Products
AFFORDABLE AND CLEAN ENERGY7
AFFORDABLE AND CLEAN ENERGY
1
Research Products
DECENT WORK AND ECONOMIC GROWTH8
DECENT WORK AND ECONOMIC GROWTH
1
Research Products
INDUSTRY, INNOVATION AND INFRASTRUCTURE9
INDUSTRY, INNOVATION AND INFRASTRUCTURE
6
Research Products
REDUCED INEQUALITIES10
REDUCED INEQUALITIES
0
Research Products
SUSTAINABLE CITIES AND COMMUNITIES11
SUSTAINABLE CITIES AND COMMUNITIES
1
Research Products
RESPONSIBLE CONSUMPTION AND PRODUCTION12
RESPONSIBLE CONSUMPTION AND PRODUCTION
1
Research Products
CLIMATE ACTION13
CLIMATE ACTION
0
Research Products
LIFE BELOW WATER14
LIFE BELOW WATER
0
Research Products
LIFE ON LAND15
LIFE ON LAND
0
Research Products
PEACE, JUSTICE AND STRONG INSTITUTIONS16
PEACE, JUSTICE AND STRONG INSTITUTIONS
0
Research Products
PARTNERSHIPS FOR THE GOALS17
PARTNERSHIPS FOR THE GOALS
0
Research Products
Documents

28

Citations

192

h-index

8

Go to Scopus profile
Documents

0

Citations

0

Go to WoS profile

Publication Collaboration

Affiliation Name Count
MEF University 10
Tianjin University 10
Tomsk State University of Control Systems and Radio-Electronics 1
Tokyo Institute of Technology 1
National Research Tomsk State University 1
1 / 2
Data obtained from OpenAlex
Scholarly Output

20

Articles

4

Views / Downloads

1591/240

Supervised MSc Theses

1

Supervised PhD Theses

0

WoS Citation Count

21

Scopus Citation Count

23

Patents

0

Projects

5

WoS Citations per Publication

1.05

Scopus Citations per Publication

1.15

Open Access Source

10

Supervised Theses

1

JournalCount
2015 8th Int. Sc. & Tech. Conf. Beam technologies & Laser Applications1
2015 Conference on Applied Optics and Photonics1
2015 World Conference on Technology, Innovation and Entrepreneurship1
2017 Global Business & Technology Association’s 19th Annual Int. Conf. “Changing business environment: game changers, opportunities and risks”1
2022 7th International Conference on Mechanical Engineering and Robotics Research (ICMERR)1
Current Page: 1 / 4

Scopus Quartile Distribution

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Filters

2015 - 2019132020 - 20257

Settings

Author of Publication: search.filters.isAuthorOfPublication.8805c86d-c419-498d-936d-136faa5a2549

Scholarly Output Search Results

Now showing 1 - 10 of 20
  • Conference Object
    Citation - WoS: 1
    Citation - Scopus: 1
    A Novel Tunable Vortex-Induced Vibration Wind Energy Harvester
    (Ieee, 2024-06-04) Dorantes Gonzalez, Dante Jorge; Dorantes-Gonzalez, Dante Jorge
    This study presents a novel approach to enhancing the efficiency and robustness of vortex-induced vibration energy harvesters for wind energy conversion. Through the development and evaluation of alternative tunable stiffness mechanisms, particularly focusing on a discrete-tunable mechanism with three levels of torsional springs, significant improvements in energy capture and construction simplicity have been achieved. By optimizing dynamic models and conducting thorough structural analyses, potential weaknesses in the design have been identified and addressed. The innovative tunable mechanism, currently undergoing patent review, represents a substantial advancement in the field of renewable energy technologies, offering a promising solution for urban energy harvesting applications. This research underscores the importance of continuous innovation and optimization in energy harvesting systems to meet the evolving demands for sustainable energy production.
  • Conference Object
    Robotic Additive Manufacturing of Nature-Inspired, Topology Optimized, and Smart Materials-Based Designs
    (Institute of Electrical and Electronics Engineers Inc., 2025-12-06) Dorantes-Gonzalez, Dante Jorge; Bingöl, Sümeyye Süheda
  • Article
    Citation - WoS: 15
    Citation - Scopus: 13
    Calibration of the Effective Spring Constant of Ultra-Short Cantilevers for a High-Speed Atomic Force Microscope
    (IOP Publishing Ltd, 2015-05-06) Xu, Lin-Yan; Wu, Sen; Hu, Xiao-Dong; Song, Yun-Peng; Fu, Xing; Zhang, Jun-Ming; Dorantes-Gonzalez, Dante Jorge
    Ultra-short cantilevers are a new type of cantilever designed for the next generation of high-speed atomic force microscope (HS-AFM). Ultra-short cantilevers have smaller dimensions and higher resonant frequency than conventional AFM cantilevers. Moreover, their geometry may also be different from the conventional beam-shape or V-shape. These changes increase the difficulty of determining the spring constant for ultra-short cantilevers, and hence limit the accuracy and precision of force measurement based on a HS-AFM. This paper presents an experimental method to calibrate the effective spring constant of ultra-short cantilevers. By using a home-made AFM head, the cantilever is bent against an electromagnetic compensation balance under servo control. Meanwhile the bending force and the cantilever deflection are synchronously measured by the balance and the optical lever in the AFM head, respectively. Then the effective spring constant is simply determined as the ratio of the force to the corresponding deflection. Four ultra-short trapezoid shape cantilevers were calibrated using this method. A quantitative uncertainty analysis showed that the combined relative standard uncertainty of the calibration result is less than 2%, which is better than the uncertainty of any previously reported techniques.
  • Conference Object
    Laser-Generated Surface Acoustic Wave-Based Study and Detection of Surface Cracks
    (Int. Sc. & Tech. Conf. Beam technologies & Laser Applications, 2015) Chen, Kun; Fu, Xing; Li, Tingting; Dorantes-Gonzalez, Dante Jorge; Li, Yanning; Wu, Sen
    Monitoring cracks to check the integrity of engineering materials by Non- Destructive Testing (NDT) in industry is significant in industry. And within the NDT techniques, Laser-Generated Surface Acoustic Wave technique (LSAW) has shown to be a promising technique. To further develop non-contact and accurate testing strengths of this method, models for analyzing the generation, propagation and tracking of surface acoustic waves (SAW’s) changes in S45C steel samples with distributed cracks are developed by using Finite Element Method (FEM). Time and frequency domain analyses are used to process the acoustic wave signals after the interaction with cracks. The simulation results and preliminary analyses reveal the good potential LSAW’s have to monitor cracks. First results in developing an experimental setup for crack detection are also provided.
  • Conference Object
    A Novel Standard for Graphical Representation of Mental Models and Processes in Cognitive Sciences
    (World Congress of Education, 2018) Dorantes-Gonzalez, Dante Jorge; McKeown, John A.G.
    Cognitive Science has positioned itself to be a common ground in which models of mental processes from multiple disciplines merge, situating itself as a common field for new learning theories, or for formalizing existing ones. However, the authors have identified a need for updating the existing graphical representations by incorporating more accessible understanding for teachers and researchers in cross- multidisciplinary fields. In this regard, the present investigation attempts to generate a standard graphical language to represent complex mental processes by the introduction of functional principles, schemes and models that have been successfully used in technical areas such as adaptive control systems, algorithm flow charts, and artificial intelligence. This graphical representation, entitled “Cognitive Functional Representation” (CFR), is further shown to be efficacious in incorporating the essence of complex cognitive theories.
  • Conference Object
    Citation - Scopus: 1
    Toward a Novel Neuroscience-Based System Approach Integrating Cognitive and Implicit Learning in Education
    (Springer Science and Business Media Deutschland GmbH, 2023) Tsvetkova, Nadezhda; Çakar, Tuna; Veledinskaya, Svetlana; Babanskaya, Olesya; Dorantes-Gonzalez, Dante Jorge
    Emotional-enhanced learning is a meaningful driver of engagement leading to long-term memory retention in learners, however, traditional approaches such as problem-based learning, and project-based learning, among others, do not consider brain-based learning guidelines concerning learner’s emotional experience design. The Neuroscience-based Learning (NBL) technique is a novel neuro-educational approach that applies the implicit neuro-physiological mechanisms underlying vivid and highly-arousal emotion-al experiences leading to long-term memory retention. The NBL is devised from a cybernetic system point of view, by explaining the novel neuro-physiological learning scheme describing the relation among the environment and the learner’s internal mental processes ranging from perceptions, comparison with previous experiences and memories, immediate sensations and reactions, emotions, desires, intentions, higher order cognitive functions, and controlled actions towards the environment. While explaining biological processes, the scheme also relates the types of memory systems with their non-associative and associative learning mechanisms, and the variables that modulate learning. NBL proposes the triggers for a vivid and highly-arousal emotional learning, which are novelty, unpredictability, sense of low control, threat to ego, avoidance (aversion-mediated learning), and reward (reward-based learning). © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
  • Conference Object
    Citation - Scopus: 1
    Mechanical Design of a Haptic Hand Exoskeleton for Tele-Exploration of Explosive Devices
    (IEEE, 2023-06-14) Dorantes-Gonzalez, Dante Jorge
    There are tasks such as remote exploration and manipulation of explosive objects where high dexterity, accuracy, and practicality are necessary. The proposed haptic hand exoskeleton design uses displacement sensors in both flexion-deflection as well as abduction-adduction to replicate the operator's main three fingers' motion and teleoperate a slave robotic hand for disassembling and disposal of explosive objects. The novel design, component selection, and computer-aided design of the haptic virtual prototype were developed and tested.
  • Book Part
    Citation - Scopus: 2
    Foundations of Neuroscience-Based Learning
    (Springer International Publishing, 2022) Dorantes-Gonzalez, Dante Jorge
    Traditional learning and teaching approaches such as problem-based or project-based learning, among others, do not explicitly consider emotional-enhanced learning, which is a well-known driver of engagement leading to long-term memory retention. On the other hand, existing brain-based learning methods do not provide structured and scientifically-based strategies for the formation of the learner’s emotional experience and engagement. The Neuroscience-based Learning (NBL) technique is a novel neuroeducational approach that explains and applies the implicit neurophysiological mechanisms underlying vivid and highly-arousal emotional experiences leading to long-term memory retention. The NBL is devised from a cybernetics and system approach perspective. It starts from the basis of the neurophysiological learning scheme, describing the relationships among the environment and the learner’s internal mental processes ranging from perceptions, comparison with previous experiences and memories, immediate sensations, reactions, emotions, desires, intentions, higher-order cognitive functions, and controlled actions to the environment. The scheme relates memory systems, non-associative and associative learning mechanisms, implicit and explicit learning subsystems, signaling chemicals, and their neural subsystems, as well as identifying the amygdala as a key sensor triggering and modulating implicit learning. The NBL method exposes the triggers for vivid and highly arousal emotional learning: novelty, unpredictability, sense of low control, threat to the ego, avoidance (aversion-mediated learning), and reward (reward-based learning) and devises the principles of NBL toward more didactic applications. The foundations for implementing NBL in education and recommendations for learning during the online and pandemic situations were proposed. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022.
  • Conference Object
    Improved Business Model Representation of Innovation Concepts
    (World Conference on Technology, Innovation and Entrepreneurship, 2015) Dorantes-Gonzalez, Dante Jorge; Küçükaydın, Hande; Özlem, Şirin; Bulgan, Gökçe; Aydın, Utkun; Son Turan, Semen; Karamollaoğlu, Nazlı; Teixeira, Frederico Fialho
    Except for academics and consultants, the concept and purpose of innovation (not to mention related concepts such as “Open Innovation", "Free-Intellectual Property Innovation," or "Open Source Innovation") is usually unclear for most entrepreneurs and other practitioners. It often times happens that newly coined terminology becomes misleading or may even include a certain degree of sensationalism, hence turning into a matter of debate for specialists in the realm of technology management. Such has been the case for the term “Open Innovation”, since the word “open” is mainly related to crowd sourced innovation, but not for the openness on intellectual property rights. Since innovation is about the commercialization of original ideas, so we propose a simple and visual business model setting to resolve these concepts. To this regard, the “Business Model Canvas” has been used in business and entrepreneurship to sketch and frame the key points behind the development of a startup. This model was suggested by Alexander Osterwalder (2008) in his work on Business Model Ontology, as a strategic analysis template for developing startups or documenting existing businesses. It describes the firm’s value proposition, partners, resources, activities, customer relationships, distribution channels, customers, revenue streams and cost structure. However, when it comes to innovative startups, this template does not explicitly include such significant innovation components as intellectual property, its alignment to strategies, and intellectual property flow. The present paper proposes the use of an improved version of the Business Model Canvas to originally represent different models of innovation like Open Innovation, thus providing a clear, visual and quick representation of their meaning, and consequently, contribute to a better understanding of different concepts of innovation.
  • Master Thesis
    Karmaşık Geometrili Parçaların Tasarımı, Simülasyonu ve Robotik Eklemeli İmalat Teknolojisi ile Uygulanması
    (2025) Bingöl, Sümeyye Şüheda; Dorantes, Dante
    Bu tez, çok eksenli Robotik Katmanlı Üretim (Robotic Additive Manufacturing, RAM) için karmaşık geometrili parçaların tasarımı, geliştirilmesi ve simülasyonunu sunmaktadır.Rhino–Grasshopper–KUKA|prc yazılım ortamı, geleneksel CAD yazılımlarının kolayca üretemediği geometriler için özelleştirilmiş çok eksenli takım yolları oluşturmak amacıyla entegre edilmiştir. Simülasyon sürecinde pozisyoner donanımlı bir KUKA KR210 R2700-2 antropomorfik robot kullanılmış, Altınay Robotics tarafından sağlanan pozisyonersiz eşdeğer bir robot ise oluşturulan yörüngelerin fiziksel uygulamasında görev almıştır. RAM sistemi; polimer ekstrüzyon ve metal biriktirme yöntemlerini kullanarak karmaşık geometrilerin üretilmesini hedeflemektedir. En uygun yöntemin belirlenebilmesi için çalışma, Tel Ark Katmanlı Üretim (Wire Arc Additive Manufacturing, WAAM), Tel Lazer Katmanlı Üretim (Wire Laser Additive Manufacturing, WLAM) ve Hibrit Tel-Lazer Katmanlı Üretim (Wire-Laser Hybrid Additive Manufacturing, WLHAM) yöntemlerini yapısal verimlilik, biriktirme kalitesi ve entegrasyon uygulanabilirliği açısından değerlendirmektedir. Ayrıca, çok renkli bir polimer pelet ekstrüderi, yazarın danışmanlığında ve Altınay Robotics'in mekanik yöneticisinin gözetiminde, Altınay Robotics ve MEF Üniversitesi stajyerleriyle birlikte ortak olarak geliştirilmiş ve çok malzemeli üretim yetkinliği ortaya konmuştur. Bunun yanı sıra, MEF Üniversitesi BAP araştırma fonu desteğiyle gelecekteki kullanımlar için endüstriyel bir Nolega polimer ekstrüderi tedarik edilmiştir. Bu çalışma, teknik çıktılarının ötesinde, robotik sistemler ve katmanlı üretim süreçlerini bütünleştiren yenilikçi bir üretim yaklaşımını ortaya koymaktadır. Araştırma, mühendislik, tasarım ve hesaplamalı modelleme alanlarını bir araya getiren çok disiplinli (multidisipliner) ve iş birliğine dayalı bir çerçeve benimsemektedir. Farklı disiplinlerden öğrencilerle yürütülen deneysel çalışmalar, uygulamalı öğrenme ve disiplinler arası bilgi paylaşımını teşvik etmiştir. Bu bütünleştirici yaklaşım, tezi robotik destekli dijital üretim bağlamında teori, uygulama ve eğitimi bir araya getiren bir araştırma olarak öne çıkarmaktadır. Sonuç olarak, çalışma; mühendislik ve yaratıcı endüstrilerde kullanılabilecek, ölçeklenebilir, hassas ve sürdürülebilir üretim çözümleri sunan, küresel ölçekte rekabet gücüne sahip bir RAM teknolojisi ortaya koymaktadır