Javier Viaña, Ph.D.
Expertise: Explainable Artificial Intelligence
About
Javier Viaña is currently a Postdoctoral Associate at the MIT Kavli Institute of Astrophysics and Space Research. He obtained his Ph.D. in eXplainable Artificial Intelligence applied to Aerospace Engineering at the University of Cincinnati and spent his last doctoral year at MIT. His Ph.D. research revolved around the conception of novel transparent algorithms that not only provide accurate predictions but also human-understandable justifications of the results. His current research is focused on the design of explainable deep neural network architectures that automatically detect transiting exoplanets from Kepler satellite data.
Postdoctoral Associate, “La Caixa” Fellow
Massachusetts Institute of Technology
77 Massachusetts Ave, Cambridge, MA 02139
513-356-2584 vianajr@mit.edu
He has published four books, 30+ peer-reviewed papers, several registries of intellectual property and four patents. He has received awards such as the Best National Research Article of 2016, the “La Caixa” fellowship award, the John Leland Atwood Award of the American Institute of Aeronautics and Astronautics, a letter of recognition from HH. MM. King Felipe VI and the Royal House of Spain, the Professor R. T. Davis Memorial Award for Academic Performance in Computational Sciences, the Airport Cooperative Research Program Award from the Federal Aviation Administration and The National Academy of Sciences, the Best Ph.D. Thesis Award and 3 Best Paper Awards from the North American Fuzzy Information Processing Society’s (NAFIPS).
University Education
Postdoctoral AI Researcher – Aug 2022 – Present
Massachusetts Institute of Technology – Department of Physics
Kavli Institute for Astrophysics and Space Research
- Advisor: Dr. Andrew Vanderburg. Project: Improvement of Astronet-AI pipeline for detection of transiting exoplanets with TESS and Kepler.
- Development of explainable deep learning techniques for anomaly detection and knowledge extraction in the processing of the target light curves.
Doctoral AI Researcher – Sep 2021 – Aug 2022
Massachusetts Institute of Technology – Department of Physics
Kavli Institute for Astrophysics and Space Research
- Advisor: Dr. Andrew Vanderburg. Project: AI-based spectral characterization of polluted white dwarfs using the Large sky Area Multi-Object fiber Spectroscopic Telescope (LAMOST) data.
- Designed the transfer learning architecture from an overlapping autoencoder for signal reconstruction to a deep neural network for spectral flux prediction based on the atmospheric physical properties of the white dwarfs.
Ph.D. in Explainable Artificial Intelligence – Sep 2019 – Aug 2022
University of Cincinnati – Department of Aerospace Engineering
College of Engineering and Applied Sciences
- Advisor: Prof. Dr. Kelly Cohen, Head of the Aerospace Department, Brian H. Rowe Endowed Chair.
- Thesis: “CEFYDRA: Cluster-first Explainable FuzzY-based Deep self-Reorganizing Algorithm”
- Published different novel algorithms in various international conferences: LACCI, DCASS, NAFIPS (10+ papers), DSCC, ISCMI, etc.
3.92 GPA
Hands-On AI Program – May 2020 – Aug 2021
Stanford University
Institute for Computational & Mathematical Engineering, Continuing Studies
- Developed an an algorithm for prediction of Tesla’s daily stocks based on published Twitter data using natural language processing together with an ad-hoc convolutional neural network.
4.0 GPA
M.Eng. in Fuzzy Artificial Intelligence – Aug 2018 – Aug 2019
University of Cincinnati – Department of Aerospace Engineering
- Advisor: Prof. Dr. Kelly Cohen. Developed a fuzzy-based recurrent algorithm that served as a fault tolerance tool for human-machine interactions. Application to the Boeing 737 Max 8 conflict resolution in a high-fidelity scenario.
3.9 GPA
M.Sc. in Mechanical Engineering – Sep 2017 – Jun 2018
Focus on Algorithms / University of the Basque Country – Department of Mechanisms & Machine Theory
- Advisor: Dr. Charles Pinto.
- Theoretical development of planar kinematics formulas for generative design of mechanisms.
10/10 With Honors
B.Sc. in Mechanical Engineering – Sep 2013 – Jun 2017
Focus on Algorithms / University of the Basque Country – Department of Mechanisms & Machine Theory
- Advisor: Dr. Victor Petuya. Created a novel formula for kinematic analysis of mechanisms, awarded with the best national investigation article of mechanical engineering of 2016 of Spain.
9.92/10 Highest Honors
Entrepreneurship, Innovation & Design Thinking Summer Program – Jun 2017 – Jul 2017
University of Cincinnati – Carl H. Lindner College of Business
- Advisor: Dr. Charles Matthews. Intensive start-up bootcamp, from product conceptualization to rapid prototyping.
4.0 GPA
Internship on Image Processing Algorithms – May 2016 – Sep 2016
University of Florida – Astronomy Department
Bryant Space Science Center
- Advisor: Prof. Dr. Rafael Guzman, Head of the Astronomy Department.
- Deconvolution image enhancement algorithms for micro-scale space-cameras in Earth monitoring missions, in collaboration with Satlantis Microsatellites.
Teaching Experience
Instructor of Probability Theory applied to Aerospace Engineering
University of Cincinnati – College of Engineering and Applied Science
Aug 2019 – Jul 2020 Cincinnati, Ohio
- The curriculum included an introduction to statistics, probability, optimization and artificial intelligence with real-world engineering problems. Student evaluations’ score: 4.9/5 (2019 best instructor in the Aero Dept.).
- Sophomore level core course AEEM 2014, class of 50 students. Appointed Teaching Assistant: Sameer Pokhrel, Ph.D. in Aerospace Engineering.
Lecturer of Resonance in Spacecraft Design
Cambridge University – Jesus College
Jun 2018 – Jul 2018 Cambridge, UK
- Undergraduate level Aerospace summer course, with co-lecturer Dr. Alvaro Menduina Fernandez.
- Topics included: Vibration theory, periodic and damped oscillations, normal modes, and structural design.
Mentor and Lecturer of the UC Fuzzy AI Lab
University of Cincinnati – Department of Aerospace Engineering
Jul 2020 – Jul 2022 Cincinnati, Ohio
- Laboratory with 20 undergraduate students focused on the development of custom AI architectures to solve different engineering problems.
Industry Experience
Harvard University, Center for Astrophysics (CfA), Advisor in AI – Cambridge, Massachusetts, USA – Feb 2023 – Present
- Research group: Center for Astrophysical Machine Learning (AstroAI)
- Principal Investigator: Cecilia Garrafo
CVG International Airport, Advisor in AI – Northern Kentucky, USA – May 2021 – Present
- Designed and coded tailored XAI algorithms for passenger flow prediction at the security checkpoint using fuzzy-based inference systems.
- The software created allows the airport authority know in advance the exact time at which the passengers will arrive at the airport, as well as their passenger profile (i.e., destination, if they are regular flyers, the purpose of the trip, number of companions, etc.).
- This ultimately equipped the airport managers with information to perform a data-driven deployment of necessary airport resources, including staff allocation.
MyDataMood, Advisor in Explainable AI – Madrid, Spain – Aug 2021 – Sep 2022
- In charge of the GDPR compliant (European General Data Protection Regulation) Explainable AI cascading fuzzy-based architecture for the inference of additional user features. Software development supervisor.
Aether, Advisor in Explainable AI – Barcelona, Spain – Jul 2021 – Sep 2022
- Creation of the algorithm for tailored time-dependent prediction of oxygen supply in hospitalized patients with Chronic Obstructive Pulmonary Disease and respiratory insufficiency
- Currently partnering with 5 major Spanish hospitals, Quirón (leader in the private healthcare sector of Spain) and the University Hospital of Vall d’Hebron in Barcelona, among others.
Genexia, Machine Learning Engineer– Cincinnati, Ohio, USA – May 2020 – Aug 2020
- Development of novel explainable AI algorithms for the prediction of Remaining Useful Life of Jet Engines (in different operational modes & configurations).
- Authored a successful medical image segmentation algorithm for breast arterial calcification detection in X-Ray mammograms.
- Most Promising Startup by Cincinnati Business Courier within framework of the 2020 Innovation and Technology Awards.
Aurora Flight Sciences (A Boieng Company), Software Development Intern – Lucerne, Switzerland – May 2019 – Aug 2019
- Leaded the AI architecture of the PAV Project (Passenger Air Vehicle) whose client was Uber.
- Created an entire toolbox for fatigue data analysis (Post-Processing), which was then integrated in all the ongoing projects of the company.
- Reduced the work hours of the engineers approximately by 100 by automating the computation of the rainflow algorithms for flight data interpretation.
- Coded the aircraft’s critical component’s life expectancy determination algorithms.
Satlantis Microsatellites, Space Technology Engineer – Bilbao, Spain – Nov 2015 – Jul 2018
- R & D Department. Development of the Optomechanical Structure iSIM, lightweight athermal microsatellite camera design for Low Earth Orbit (LEO) which is now operational in the International Space Station. The designs were essential for the startup to close successfully a round of 50M$.
- Training stay in IDOM, Advanced Design Analysis Department. Assembly, Integration & Verification (AIV). Structural Design of microsatellites; Payloads & platforms.
- Collaborative stay in the Department of Astronomy at the University of Florida. Optical characterization of the binocular structure & TRL 6.
- Company Awarded with the Start-up Space Challenge Prize 2017, London Space Week, Royal Astronomical Society of London.
European Space Agency, Systems Engineering Training – Redu, Belgium – May 2018 – May 2018
- Application of the Concurrent Engineering in the design of a lunar mission at the ESEC (European space Security & Education Centre).
- In charge of the lunar rover design and the integration of the science Instruments for the mission.
- Lead engineer at the Optics & Instruments Subsystem: Selected together with 20 more engineers from all over Europe to carry out the concurrent analysis and the viability of the mission.
Featured Research
US Patent: Viaña J, et al. 2023. Explainable AI Process for Passenger Flow Prediction at the Security Checkpoint of the Airport, United States Patent and Trademark Office. Application No. 63/232,782 filed on August 13, 2021.
Best Paper Award NAFIPS 2022: Viaña J, et al. 2022. Initialization and Plasticity of CEFYDRA: Cluster-first Explainable FuzzY-based Deep self-Reorganizing Algorithm. Applications of Fuzzy Techniques. Lecture Notes in Networks and Systems, vol. 500, pp. 323–335. DOI
ACRP Award: Viaña, J. et al.: Explainable Algorithm to Predict Passenger Flow at CVG Airport. Transportation Research Record (Accepted, to appear).
Viaña J, et al. 2022. Explainable Fuzzy Cluster-based Regression Algorithm with Gradient Descent Learning, Complex Engineering Systems, vol. 2 (8). DOI
Best Paper Award NAFIPS 2021: Viaña J, et al. 2022. Fast Training Algorithm for Genetic Fuzzy Controllers and application to an Inverted Pendulum with Free Cart. Fuzzy Information Processing, vol. 1337, pp. 301–311. DOI
Viaña J, Cohen K. 2022. Evaluation Criteria for Noise Resilience in Regression Algorithms. Explainable AI and Other Applications of Fuzzy Techniques. Lecture Notes in Networks and Systems, vol. 258, pp. 473-485. DOI
Best Paper Award CNIM 2017: Viaña J, et al. 2017. A Proposal for a Formula of Absolute Pole Velocities between Relative Poles. Mechanism and Machine Theory, vol. 114, pp. 74-84. DOI
Viaña J, Vanderburg A. 2023. Forcing the Network to use Human Explanations in its Inference Process. North American Fuzzy Information Processing Society Annual Conference NAFIPS 2023 (Accepted, to appear).
Honors & Awards
Best Ph.D. Thesis Award
North American Fuzzy Information Processing Society, NAFIPS 2023
May 2023
John Leland Atwood Award
American Institute of Aeronautics and Astronautics (AIAA)
Aug 2022
Best Paper Award
North American Fuzzy Information Processing Society, NAFIPS 2023
Apr 2022
Best Student Paper Award
North American Fuzzy Information Processing Society, NAFIPS 2023
Apr 2022
Airport Cooperative Research Program Graduate Research Award
Sponsored by the Federal Aviation Administration.
Administered by the Transportation Research Board and The National Academy of Sciences.
Managed by the Virginia Space Grant Consortium.
Aug 2021
Graduate Engineer of the Month
College of Engineering and Applied Sciences, University of Cincinnati
Feb 2021
La Caixa Fellowship for Postgraduate Studies in North America
“La Caixa” Banking Foundation (ID 100010434). Grant code: LCF / BQ / AA19 / 11720045
Aug 2020
Written Letter of Academic Recognition from HH. MM. King Felipe VI of Spain
The Royal House of Spain
Aug 2020
Outstanding Research Paper Award
North American Fuzzy Information Processing Society, NAFIPS 2020
Aug 2020
Professor R. T. Davis Memorial Award for Academic Performance in Computational Science
Department of Aerospace Engineering, University of Cincinnati
May 2020
Best Nova Talent of the Month
NOVA Talent, Spain
Jul 2019
Ohio State Excellence Scholarship & Recognition Grant
Hispanic Chamber of Commerce, Cincinnati, Ohio, USA
Oct 2018
International Studies Transfer Program Scholarship
Basque Government
Sep 2018
Excellence Training Scholarship
Provincial Council of Biscay
Aug 2018
University Graduate Scholarship, College of Engineering and Applied Sciences
University of Cincinnati, Ohio, USA
Feb 2018
2nd Award of the National Olympiad on Mechanisms and Machine Science, OTM-AEIM
Mechanical Engineering Spanish Association
Oct 2017
Best National Investigation Article of 2016, Spain
Spanish National Congress of Mechanical Engineering, CNIM-AEIM
Oct 2016
Best Presentation of the Year, 2016, Spain
Spanish National Congress of Mechanical Engineering, CNIM-AEIM
Oct 2016
Academic Excellence Scholarship, IKASIKER
Basque Government
Sep 2016
Biscay Talent, Excellence of Young Postgraduate
Provincial Council of Biscay
Sep 2016
Publications
- Viaña, J., Ralescu, S., Kreinovich, V., Ralescu, A., Cohen, K. (2023). Single Hidden Layer CEFYDRA: Cluster-first Explainable FuzzY-based Deep self-Reorganizing Algorithm. In: Dick, S., Kreinovich, V., Lingras, P. (eds) Applications of Fuzzy Techniques. NAFIPS 2022. Lecture Notes in Networks and Systems, vol 500. Springer, Cham. https://doi.org/10.1007/978-3-031-16038-7_29
- Viaña, J., Ralescu, S., Kreinovich, V., Ralescu, A., Cohen, K. (2023). Multiple Hidden Layered CEFYDRA: Cluster-First Explainable Fuzzy-Based Deep Self-reorganizing Algorithm. In: Dick, S., Kreinovich, V., Lingras, P. (eds) Applications of Fuzzy Techniques. NAFIPS 2022. Lecture Notes in Networks and Systems, vol 500. Springer, Cham. https://doi.org/10.1007/978-3-031-16038-7_30
- Viaña, J., Ralescu, S., Kreinovich, V., Ralescu, A., Cohen, K. (2023). Initialization and Plasticity of CEFYDRA: Cluster-first Explainable FuzzY-based Deep self-Reorganizing Algorithm. In: Dick, S., Kreinovich, V., Lingras, P. (eds) Applications of Fuzzy Techniques. NAFIPS 2022. Lecture Notes in Networks and Systems, vol 500. Springer, Cham. https://doi.org/10.1007/978-3-031-16038-7_31
- Holguin, S., Viaña, J., Cohen, K., Ralescu, A., Kreinovich, V.: Why Sine Membership Functions.In: Dick, S., Kreinovich, V., Lingras, P. (eds) Applications of Fuzzy Techniques. NAFIPS 2022. Lecture Notes in Networks and Systems, vol 500. Springer, Cham. https://doi.org/10.1007/978-3-031-16038-7_9
- Courcier, B., Richard Desjardins, S., Farges, C., Cazaurang, F., Cohen, K., Pickering, L., Viaña, J.: Genetic Fuzzy System for Pitch Control on a F-4 Phantom. In: Dick, S., Kreinovich, V., Lingras, P. (eds) Applications of Fuzzy Techniques. NAFIPS 2022. Lecture Notes in Networks and Systems, vol 500. Springer, Cham. https://doi.org/10.1007/978-3-031-16038-7_4
- Viaña, J., Ralescu, S., Cohen, K., Ralescu, A., Kreinovich, V. (2022). Localized Learning: A Possible Alternative to Current Deep Learning Techniques. In: Castillo, O., Melin, P. (eds) New Perspectives on Hybrid Intelligent System Design based on Fuzzy Logic, Neural Networks and Metaheuristics. Studies in Computational Intelligence, vol 1050. Springer, Cham.https://doi.org/10.1007/978-3-031-08266-5_29
- Viaña, J., Ralescu, S., Cohen, K., Ralescu, A., Kreinovich, V. (2023). Extension to Multidimensional Problems of a Fuzzy-based Explainable & Noise-Resilient Algorithm. In: Ceberio, M., Kreinovich, V. (eds) Decision Making Under Uncertainty and Constraints. Studies in Systems, Decision and Control, vol 217. Springer, Cham. https://doi.org/10.1007/978-3-031-16415-6_40
- Viana, J., Cohen, K. (2021). Evaluation Criteria for Noise Resilience in Regression Algorithms. In: Rayz J., Raskin V., Dick S., Kreinovich V. (Eds.). Explainable AI and Other Applications of Fuzzy Techniques. Lecture Notes in Networks and Systems, vol 258 (pp. 473-485). Springer, Cham, Switzerland. https://doi.org/10.1007/978-3-030-82099-2_43
- Viana, J., Cohen, K. (2021). Fuzzy-based Noise-Resilient Explainable Algorithm for Regression. In: Rayz J., Raskin V., Dick S., Kreinovich V. (Eds.). Explainable AI and Other Applications of Fuzzy Techniques. Lecture Notes in Networks and Systems, vol 258 (pp. 461-472). Springer, Cham, Switzerland. https://doi.org/10.1007/978-3-030-82099-2_42
- O’Grady, K. L., Viana, J., Cohen, K. (2021). Predicting Diabetes Diagnosis with Binary-to-Fuzzy Extrapolations and Weights Tuned via Genetic Algorithm. In: Rayz J., Raskin V., Dick S., & Kreinovich V. (Eds.). Explainable AI and Other Applications of Fuzzy Techniques. Lecture Notes in Networks and Systems, vol 258 (pp. 321-331). Springer, Cham, Switzerland. https://doi.org/10.1007/978-3-030-82099-2_29
- Viaña, J., Cohen, K. (2020). ExTree – Explainable Genetic Feature Coupling Tree using Fuzzy Mapping for Dimensionality Reduction with Application to NACA 0012 Airfoils Self-Noise Data Set. In: Bede, B., Ceberio, M., De Cock, M., & Kreinovich, V. (Eds.). Fuzzy Information Processing, Proceedings of NAFIPS’2020, Springer, Cham, Switzerland, (2020). https://doi.org/10.1007/978-3-030-81561-5_24
- Viaña, J., Cohen, K. (2020). Fast Training Algorithm for Genetic Fuzzy Controllers and application to an Inverted Pendulum with Free Cart. In: Bede, B., Ceberio, M., De Cock, M. & Kreinovich, V. (Eds.), Fuzzy Information Processing 2020, Proceedings of NAFIPS’2020, Springer, Cham, Switzerland. https://doi.org/10.1007/978-3-030-81561-5_25
- Viaña, J. et al.: Explainable Algorithm to Predict Passenger Flow at Cincinnati/Northern Kentucky International Airport. Transportation Research Record 2023; 0:0. https://doi.org/10.1177/03611981231176814.
- Viaña J, Ralescu S, Cohen K, Ralescu A, Kreinovich V. Explainable Fuzzy Cluster-based Regression Algorithm with Gradient Descent Learning. Complex Engineering Systems 2022; 2:8. http://dx.doi.org/10.20517/ces.2022.14
- Viaña J, Ralescu S, Cohen K, Ralescu A, Kreinovich V. Why Cauchy Membership Functions: Reliability. Advances in Artificial Intelligence and Machine Learning 2022; 2:2, 385-393. http://dx.doi.org/10.54364/AAIML.2021.1106
- Viaña J, Ralescu S, Cohen K, Ralescu A, Kreinovich V. Why Cauchy Membership Functions: Efficiency. Advances in Artificial Intelligence and Machine Learning 2021; 1:1, 81-88. https://dx.doi.org/10.54364/AAIML.2022.1125
- Viaña J, Petuya V. A Proposal for a Formula of Absolute Pole Velocities between Relative Poles. Mechanism and Machine Theory Journal, 2017; 114, 74-84. https://dx.doi.org/10.1016/j.mechmachtheory.2017.03.016
- Viaña, J., Vanderburg, A., Fang, M.: A Neural Network Based Search for Earth Analogs in Kepler Data, Proceedings of the 2023 Emerging Researchers in Exoplanet Science Symposium (ERES VIII). Yale University, New Haven, USA (2023).
- Viaña, J., Vanderburg, A.: Forcing the Network to use Human Explanations in its Inference Process, Proceedings of the 2023 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS 2023), University of Cincinnati, Cincinnati, OH, USA (2023).
- Viaña, J. et al.: Review of a Fuzzy Logic based Airport Passenger Flow Prediction System, Proceedings of the 2023 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS 2023), University of Cincinnati, Cincinnati, OH, USA (2023).
- Viaña, J. et al.: ACRP Graduate Research Award: Explainable Algorithm for Passenger Flow Prediction at the Security Checkpoint of CVG Cincinnati / Northern Kentucky International Airport, Transportation Research Board 102nd Annual Meeting (TRB 2023), Committee on Airport Terminals and Ground Access (AV050), Washington D.C. (2023).
- Viaña, J., Ralescu, S., Kreinovich, V., Ralescu, A., Cohen, K.: Single Hidden Layer CEFYDRA: Cluster-first Explainable FuzzY-based Deep self-Reorganizing Algorithm, Proceedings of the 2022 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS 2022), Saint Mary’s University, Halifax, NS, Canada (2022).
- Viaña, J., Ralescu, S., Kreinovich, V., Ralescu, A., Cohen, K.: Multiple Hidden Layered CEFYDRA: Cluster-first Explainable FuzzY-based Deep self-Reorganizing Algorithm, Proceedings of the 2022 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS 2022), Saint Mary’s University, Halifax, NS, Canada (2022).
- Viaña, J., Ralescu, S., Kreinovich, V., Ralescu, A., Cohen, K.: Initialization and Plasticity of CEFYDRA: Cluster-first Explainable FuzzY-based Deep self-Reorganizing Algorithm, Proceedings of the 2022 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS 2022), Saint Mary’s University, Halifax, NS, Canada (2022).
- Holguin, S., Viaña, J., Cohen, K., Ralescu, A., Kreinovich, V.: Why Sine Membership Functions, Proceedings of the 2022 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS 2022), Saint Mary’s University, Halifax, NS, Canada (2022).
- Courcier, B., Richard Desjardins, S., Farges, C., Cazaurang, F., Cohen, K., Pickering, L., Viaña, J.: Genetic Fuzzy System for Pitch Control on a F-4 Phantom, Proceedings of the 2022 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS 2022), Saint Mary’s University, Halifax, NS, Canada (2022).
- Viaña, J., Ralescu, S., Cohen, K., Ralescu, A., Kreinovich, V., Localized Learning: A Possible Alternative to Current Deep Learning Techniques, New Perspectives on Hybrid Intelligent System Design based on Fuzzy Logic, Neural Networks and Metaheuristics, Tijuana Institute of Technology, Mexico (2021).
- Viaña, J., Ralescu, S., Cohen, K., Ralescu, A., Kreinovich, V., Extension to Multidimensional Problems of a Fuzzy-based Explainable & Noise-Resilient Algorithm. Constraint Programming and Decision Making (CoProD 2021), Online (2021).
- Viana, J., Cohen, K., Evaluation Criteria for Noise Resilience in Regression Algorithms. Proceedings of the 2021 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS 2021), West Lafayette, IN, USA (2021).
- Viana, J., Cohen, K., Fuzzy-based Noise-Resilient Explainable Algorithm for Regression. Proceedings of the 2021 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS 2021), West Lafayette, IN, USA (2021).
- O’Grady, K. L., Viana, J., Cohen, K., Predicting Diabetes Diagnosis with Binary-to-Fuzzy Extrapolations and Weights Tuned via Genetic Algorithm. Proceedings of the 2021 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS 2021), West Lafayette, IN, USA (2021).
- Viana, J., Scott, D., Kumar, M., Cohen, K., Dynamic Genetic Algorithm for Optimizing Movement of a Six-Limb Creature. Proceedings of the ASME 2020 Dynamic Systems and Control Conference, ASME (DSCC 2020), Pittsburg, PA, USA (2020).
- Chhabra, A., Patel, D., Viana Perez, J., Pickering, L., Li, X., Cohen, K., Understanding the Effects of Human Factors on the Spread of COVID-19 using a Neural Network. 7th International Conference on Soft Computing and Machine Intelligence (ISCMI 2020), Stockholm, Sweden (2020).
- Pickering, L., Viana Perez, J., Li, X., Chhabra, A., Patel, D., Cohen, K., Identifying New Inputs in COVID – 19 AI Case Predictions. 7th International Conference on Soft Computing and Machine Intelligence (ISCMI 2020), Stockholm, Sweden (2020).
- Viaña, J., Cohen, K., ExTree – Explainable Genetic Feature Coupling Tree using Fuzzy Mapping for Dimensionality Reduction with Application to NACA 0012 Airfoils Self-Noise Data Set. Proceedings of the 2020 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS 2020), Redmond, WA, USA, (2020).
- Viaña, J., Cohen, K., Fast Training Algorithm for Genetic Fuzzy Controllers and application to an Inverted Pendulum with Free Cart. Proceedings of the 2020 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS 2020). Redmond, WA, USA, (2020), (Recognized with the Outstanding Research Paper Award.)
- Viaña, J., Cohen, K., Fault Tolerance Tool for Human and Machine Interaction & Application to Civilian Aircraft. 6th IEEE Latin American Conference on Computational Intelligence (LA-CCI), Guayaquil, Ecuador (2019). DOI: 10.1109/LA-CCI47412.2019.9037045
- Viana, J. (2022). CEFYDRA: Cluster-first Explainable FuzzY-based Deep Reorganizing Algorithm [Doctoral dissertation, University of Cincinnati]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1659530496763669
- Viaña, J. (2019). Theoria Temporis. ISBN: 978-84-09-13631-5, pp. 86. Theoretical Relativistic Physics.
- Viaña, J. (2017). Teoría de Centromas. Ed. Gomylex. ISBN: 978-84-175176-99-2, pp. 170. Application and registration number: Bi- 512-17. Theoretical Planar Kinematics.
- Viaña, J. (2015). Faro de Puertos. Ed. Gomylex. ISBN: 978-84-15176-49-7, pp. 100. Literary work of poetry.
- Human Tissue Tubular Structure Image Reconstruction Algorithm, United States Patent and Trademark Office. Ongoing US Provisional Patent.
- System and Methods for Image Classification and Generating Personalized Medical Treatment, United States Patent and Trademark Office. Ongoing US Provisional Patent.
- Systems and Methods for Predicting Airport Passenger Flow, United States Patent and Trademark Office. International Publication Number: WO 2023/012939 A1. International Publication Date: 16.02.2023.
- Ellipses Drawing Device, Registered in the Marcs and Patents Spanish Office. International Classification: B43L11/055 (2006.01). Number of Publication: ES1103530 U (18.03.2014), BOPI. Patent date Issued Mar 2014 Patent issuer and number: ES1103530 U (18.03.2014).
Additional Achievements, International Projects, Volunteering, Community Involvement, Press and Media in CV
Javier Viaña, Ph.D.
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