Dr. Andrea Felicelli specializes in nanostructured materials for passive thermal control and energy efficiency. Her research focuses on designing multifunctional materials with tunable thermal and optical properties, including radiative cooling coatings and bioinspired solutions. Her work aims to reduce energy consumption and thermal loads in aerospace and energy systems.
Our Researchers
F
Felicelli, Andrea L.
Mechanical Engineering
Research interests
- Multifunctional materials
- Thermal control
- Bioinspired materials
- Aerospace systems
About
Contact Info
Email: andrea.felicelli@upr.edu
Phone: (787) 832-4040 ext.
SIGNIFICANT PUBLICATIONS
Liu, X., Lee, W.-J., Carne, D. W., Tian, Y., Felicelli, A., Lei, Y., Romo, J. A., You, L., Xiong, Z., Rivera Gonzalez, O. G., Aljwirah, A., Gan, Q., Mei, J., & Ruan, X. (2026). High-performance low-emissivity paints enabled by n-doped poly(benzodifurandione) (n-PBDF) for energy-efficient buildings. Advanced Functional Materials, 36(6), Artículo 2419685. https://doi.org/10.1002/adfm.202419685
Feng, D., Witty, A. S., Birnbaum, F. I., Rivera Gonzalez, O. G., Felicelli, A., Lee, W.-J., Barber, E. C., & Ruan, X. (2025). Self-stratifying colored radiative cooling paints through narrow-band color preservation scheme. Advanced Materials, 37(43), Artículo e04382. https://doi.org/10.1002/adma.202504382
Guo, Z., Katsamba, I., Carne, D., Feng, D., Moss, K., Barber, E., Fang, Z., Felicelli, A., & Ruan, X. (2025). Electronic and phononic characteristics of high-performance radiative cooling pigments h-BN: A comparative study to BaSO4. Materials Today Physics, 54, Artículo 101721. https://doi.org/10.1016/j.mtphys.2025.101721
Feliciano Cruz, Luisa
Civil Engineering and Surveying
Research interests
- Environmental Engineering
- Groundwater Hydrology
- Remote Sensing
- UAV-Based Mapping & LiDAR Analysis
- Climate Risk Management
About
Dr. Luisa Feliciano specializes in environmental engineering, focusing on water quality and wastewater treatment processes. Her research investigates biological and chemical contaminant removal to protect aquatic ecosystems. She also leads engineering education research, exploring methods to enhance curricula and increase diversity and retention within STEM disciplines.
Contact Info
Email: luisa.feliciano@upr.edu
Office: Cl-203
Phone: (787) 832-4040 ext. 2134
SIGNIFICANT PUBLICATIONS
Trossi-Torres, G., Muñoz-Barreto, J., Feliciano-Cruz, L. I., & Lakhankar, T. (2026). Assessing National Water Model Soil Moisture Performance in Puerto Rico Using In Situ and Satellite Observations. Water, 18(5), 590. https://doi.org/10.3390/w18050590
Trossi-Torres, G., Muñoz-Barreto, J., Feliciano-Cruz, L. I., & Lakhankar, T. (2025). Impacts of Precipitation Trends on Reservoirs and Rivers in Puerto Rico from 1990 to 2022. Sustainability, 17(17), 7801. https://doi.org/10.3390/su17177801
Feliciano-Cruz, L. I., Del Puerto, C. L., Trinidad, I. P., & López, R. Z. (2024). Development of innovative educational modules to empower high school and undergraduate students to pursue careers in resilient coastal infrastructure. 2024 IEEE Frontiers in Education Conference (FIE), Washington, DC, USA. 1–6. https://doi.org/10.1109/FIE61694.2024.10893386
G
George, Dibin Mary
Electrical and Computer Engineering
Research interests
- Antenna design
- Electromagnetic modeling
- Microwave measurements of antenna
- Millimeter wave antennas
About
Dr. Dibin Mary George specializes in wireless communications, signal processing, and the Internet of Things (IoT). Her research focuses on developing efficient communication protocols and energy-harvesting techniques for low-power sensors. Her work advances smart city infrastructure and optimizes data transmission in large-scale networks, balancing high connectivity with energy sustainability.
Contact Info
Email: dibin.george@upr.edu
Office: SA – 611
Phone: (787) 832-4040 ext. 6549
SIGNIFICANT PUBLICATIONS
Bartenev, A., & George, D. M. (2026). Recent advances in tunable antennas using phase change materials. Journal of Electromagnetic Waves and Applications, 40(2), 219–238. https://doi.org/10.1080/09205071.2025.2574283
George, D. M. (2026). Metasurface antennas for biomedical application. En R. Kumari, R. U. Nair, N. Gupta, & R. K. Chaudhary (Eds.), Handbook of Metamaterial Antennas, Measurement and Characterizations (Vol. 2, pp. 1-32). Springer. https://doi.org/10.1007/978-981-13-0241-1_35-1
Alvarez, A. C., & George, D. M. (2025). Ultra-wideband partial ground plane metasurface antenna for 5G networks. 2025 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting (AP-S/CNC-USNC-URSI), Ottawa, ON, Canada. 2753–2756. https://doi.org/10.1109/AP-S/CNC-USNC-URSI55537.2025.11266421
H
Hernández Cruz, Xaimarie
Industrial Engineering
Research interests
- Applied Statistics
- Machine Learning
- Spatial-Temporal Learning
- Time Series Analysis
- Anomaly Detection
About
Dr. Xaimarie Hernández Cruz specializes in industrial engineering and data analytics, focusing on intelligent systems for agricultural market intelligence. Her research advances price forecasting and tactical planning models that account for weather patterns and price variability. By bridging spatio-temporal transformer architectures with supply chain management, she develops frameworks to connect growers with market opportunities and enhance agrifood sustainability.
Contact Info
Email: xaimarie.hernandez@upr.edu
Office: II-218A
Phone: (787) 832-4040 ext. 2340
SIGNIFICANT PUBLICATIONS
Peinado-Guerrero, M., Ahumada, O., Ulloa, R., Hernandez-Cruz, X., Neal, G., Jayani, A., & Villalobos, J. R. (2024). Managing risk in fresh produce planning considering price variability, yield variability, and regional complementarity. En V. M. Albornoz, A. Mac Cawley, & L. M. Plà-Aragonés (Eds.), Optimization Under Uncertainty in Sustainable Agriculture and Agrifood Industry (pp. 105–134). Springer. https://doi.org/10.1007/978-3-031-49740-7_5
Hernández-Cruz, X., Jayani, A., Villalobos, J. R., & Runger, G. (2024). Development of price forecasts for agricultural stochastic planning models. IISE Annual Conference Proceedings, Norcross, GA. 1–6. https://doi.org/10.21872/2024IISE_6216
Ahumada, O., Hernández-Cruz, X., Ulloa, R., Peinado-Guerrero, M., Quijada, F., & Villalobos, J. R. (2023). A tactical planning model for fresh produce production considering productive potential and changing weather patterns. Biosystems Engineering, 232, 13–28. https://doi.org/10.1016/j.biosystemseng.2023.06.009
Hernández Maldonado, Arturo
Chemical Engineering
Research interests
- Synthesis and characterization of nanoporous materials
- Zeolites & coordination polymers
- Metal-organic frameworks
- Advanced adsorption applications
- Removal of contaminants from water
About
Dr. Arturo J. Hernández-Maldonado specializes in adsorption science and nanotechnology, focusing on the synthesis of nanoporous materials like zeolites and MOFs. An AAAS Fellow and NSF CAREER recipient, his research advances environmental remediation and aerospace life support systems, particularly in gas purification and the removal of emerging water contaminants.
Contact Info
Email: arturoj.hernandez@upr.edu
Office: IQ-105-N
Phone: (787) 832-4040 ext. 3748
Website: https://www.uprm.edu/nssal/
SIGNIFICANT PUBLICATIONS
del Valle-Pérez, G. C., Muñoz-Senmache, J. C., Espiña-Santiago, S., Mendez-Rios, E. M., Kisslinger, K., & Hernández-Maldonado, A. J. (2026). Adsorption-based direct air capture using hierarchical porous composites prepared via confined-space crystallization. Chemical Engineering Journal, 530, Artículo 173627. https://doi.org/10.1016/j.cej.2026.173627
Lin, S., Liu, B., Wang, Y., Zhao, Y., Hernández-Maldonado, A. J., & Chen, Z. (2025). Rational design of zeolites to remove siloxane-related pollutants with high adsorption loading and enhanced adsorption energy. ACS Omega, 10(23), 24160–24168. https://doi.org/10.1021/acsomega.4c10886
Aristizabal-González, C., Muñoz-Senmache, J. C., Prerna, Siepmann, J. I., Tsapatsis, M., & Hernández-Maldonado, A. J. (2025). Ammonia adsorption at high temperature and pressure using sodium containing aluminosilicates: Selectivity over nitrogen and multicycle working capacities. Industrial & Engineering Chemistry Research, 64(7), 4027–4039. https://doi.org/10.1021/acs.iecr.4c04621
Huerta Lopez, Carlos
Civil Engineering and Surveying
Research interests
- Seismology
- Structural dynamics
- Geotechnical earthquake engineering
About
Dr. Carlos I. Huerta-López specializes in engineering seismology and geophysics, focusing on seismic hazard analysis and wave propagation modeling. His research develops computational algorithms for seismic data inversion and soil dynamics. He leads international initiatives to improve terrestrial structure characterization and geothermal exploration through advanced signal processing and strong-motion networks.
Contact Info
Email: carlos.huerta@upr.edu
Office: Cl-202
Phone: (787) 832-4040 ext. 3365
SIGNIFICANT PUBLICATIONS
Vidal-Villegas, J. A., Huerta-López, C. I., Ramírez, E. E., Arce-Villa, R., & Vega-Guzmán, F. J. (2022). Experimental approach on the study of ground-motion amplification at the Cerro Prieto Volcano, Mexicali Valley, Baja California, Mexico. Seismological Research Letters, 93(2A), 798–813. https://doi.org/10.1785/0220200370
Huerta-Lopez, C. I. (2023, May). Analytical derivation of the quasi-transfer function using cross-and auto-power spectra for site characterization by means of earthquakes or ambient vibration measurements at ground surface. In 4to Congreso Internacional de Ciencias de la Ingeniería y Tecnología.
Garatachia Ramírez, J. C., Hernández Santana, J. R., & Huerta-López, C. I. (2025). Análisis morfotectónico del territorio circundante a Tijuana, Baja California, México: Aportes para la evaluación del peligro sísmico. Geografía Aplicada, 1(1), 79–106. https://geografiaaplicada.uaemex.mx/article/view/25621
I
Irizarry Rivera, Agustin
Electrical and Computer Engineering
Research interests
- Electric power systems dynamics
- Renewable energy resources
- Electric energy storage
- Power engineering education
About
Dr. Agustín Irizarry Rivera specializes in renewable energy integration and microgrids. His research focuses on the technical stability of power systems during the transition to decentralized solar and wind energy. A leading expert in energy policy, he advocates for grid democratization and the implementation of rooftop solar systems to achieve 100% renewable energy goals.
Contact Info
Email: agustin.irizarry@upr.edu
Office: SA-403
Phone: (787) 832-4040 ext. 2472
SIGNIFICANT PUBLICATIONS
Osorio-Garcia, D., & Irizarry-Rivera, A. (2026). Time-domain stability analysis of mixed generation electric power system subject to severe disturbance: Test of control parameter adjustments for increased renewable energy penetration. Energy Reports, 15, Artículo 109062. https://doi.org/10.1016/j.egyr.2026.109062
Huaman-Rivera, A., Irizarry-Rivera, A., & Calloquispe-Huallpa, R. (2025). Increasing photovoltaic hosting capacity in distribution networks in Puerto Rico: Seasonal and technical characteristics analysis and solutions. Energy Reports, 14, 867–885. https://doi.org/10.1016/j.egyr.2025.06.034
Peña-Becerra, C. A., Pacheco-Cano, W. A., Aragones-Vargas, D. F., Irizarry-Rivera, A., & Castro-Sitiriche, M. (2025). Barrio-Level Assessment of Solar Rooftop Energy and Initial Insights into Energy Inequalities in Puerto Rico. Solar, 5(2), 28. https://doi.org/10.3390/solar5020028
J
Jimenez, Manuel
Electrical and Computer Engineering
Research interests
- Embedded systems
- Rapid systems prototyping
- Automated circuit analysis
- Engineering education
About
Dr. Manuel Jiménez specializes in VLSI design, embedded systems, and high-performance hardware-software architectures. As Director of the RASP Lab, his research focuses on reconfigurable systems and the rapid prototyping of electronic systems. He also leads major engineering education initiatives, integrating research into undergraduate curricula to drive technical innovation.
Contact Info
Email: manuel.jimenez1@upr.edu
Office: S-222B / SA-401
Phone: (787)832-4040 Ext. 3780
Website: https://www.ece.uprm.edu/~mjimenez/
SIGNIFICANT PUBLICATIONS
Lopez del Puerto, C., Jimenez, M., Alfaro, M., Bellido, C., & Cafaro, M. J. (2024). Growing our PEARLS and ASSETS through a support ecosystem for low-income academically talented students. 2024 IEEE Frontiers in Education Conference (FIE), Washington, DC, USA. 1–9. https://doi.org/10.1109/FIE61694.2024.10892911
Lopez del Puerto, C., Jimenez, M., Alfaro, M., Bellido, C., & Cafaro, M. J. (2024). Growing our PEARLS and ASSETS through a support ecosystem for low-income academically talented students. National Science Foundation Public Access Repository. https://par.nsf.gov/biblio/10562694
Aparicio, Y. A., & Jimenez, M. (2024). Mathematical Modeling of SOIC Package Dynamics in Dielectric Fluids during High-Voltage Insulation Testing. Applied Sciences, 14(9), 3693. https://doi.org/10.3390/app14093693
Juan Garcia, Eduardo J.
Electrical and Computer Engineering
Research interests
- Biomedical acoustics
- Medical instrumentation
- Cardiovascular devices
About
Dr. Eduardo J. Juan specializes in biomedical acoustics, medical instrumentation, and biosensors. His research focuses on the development of acoustical guidance systems for clinical devices, such as endotracheal tubes and catheters. A patent holder and co-founder of SonarMed, he advances non-invasive diagnostic technologies and high-performance medical hardware.
Contact Info
Email: eduardoj.juan@upr.edu
Office: SA-414
Phone: (787) 832-4040 ext. 2717
SIGNIFICANT PUBLICATIONS
Castro-Torres, J. L., Méndez, J., Torres-Lugo, M., & Juan, E. (2023). Development of handheld induction heaters for magnetic fluid hyperthermia applications and in-vitro evaluation on ovarian and prostate cancer cell lines. Biomedical Physics & Engineering Express, 9(3), Artículo 035010. https://doi.org/10.1088/2057-1976/acbeaf
Mérida, F., Rinaldi, C., Juan, E. J., & Torres-Lugo, M. (2020). In vitro Ultrasonic Potentiation of 2-Phenylethynesulfonamide/Magnetic Fluid Hyperthermia Combination Treatments for Ovarian Cancer. International Journal of Nanomedicine, 15, 419–432. https://doi.org/10.2147/IJN.S217870
Court, K. A., Hatakeyama, H., Wu, S. Y., Lingegowda, M. S., Rodríguez-Aguayo, C., López-Berestein, G., Ju-Seog, L., Rinaldi, C., Juan, E. J., Sood, A. K., & Torres-Lugo, M. (2017). HSP70 inhibition synergistically enhances the effects of magnetic fluid hyperthermia in ovarian cancer. Molecular Cancer Therapeutics, 16(5), 966–976. https://doi.org/10.1158/1535-7163.MCT-16-0519
K
Kumar, Venkataramani
Computer Sciences and Engineering
Research interests
- Cybersecurity
- Wireless communications
- IoT
- AI
- Machine learning
About
Dr. Venkataramani Kumar specializes in machine learning, AI, cryptography, and wireless communication. His research expertise includes 5G energy frameworks, developed through intensive work at the Pacific Northwest National Laboratory. As a contributor to top-tier journals like IEEE IoT, he focuses on optimizing data security and connectivity in large-scale networks.
Contact Info
Email: venkataramani.kumar@upr.edu
Office: OF-324
Phone: (787) 832-4040 ext. 5864
SIGNIFICANT PUBLICATIONS
Perez, D. J. M., & Kumar, V. (2026). Containerized end-to-end tunable bias based password strength assessment framework. En M. Rodriguez Martinez, K. Lu, F. Ye, & Y. Qian (Eds.), Proceedings of the International Symposium on Intelligent Computing and Networking 2025 (Vol. 1698, pp. 415–430). Springer. https://doi.org/10.1007/978-3-032-09694-4_29
Sreeharan, S., Kumar, V., & Zhang, J. (2025). Bayesian deep learning with multi-spectral inputs for secure crop health monitoring. 2025 Cyber Awareness and Research Symposium (CARS), Grand Forks, ND, USA. 1–7. https://doi.org/10.1109/CARS67163.2025.11337315
Deshmukh, P., Prasad, V. K. S., & Kumar, V. (2025). Edge-enabled intelligent framework for cyber threat classification and adaptive anomaly mitigation. NAECON 2025 – IEEE National Aerospace and Electronics Conference, Dayton, OH, USA. 1–3. https://doi.org/10.1109/NAECON65708.2025.11235320
L
Latorre Esteves, Magda
Chemical Engineering
Research interests
- Nanotechnology
- Nanoparticles
About
Dr. Magda Latorre-Esteves specializes in nanotechnology and microbiology, focusing on nanoparticle-cell interactions. Her research investigates the synthesis and application of magnetic nanoparticles for biomedical use. Through leadership in the Nanomedicine Academy, she advances bioengineering education while mentoring numerous students in the field of molecular genetics and nanomedicine.
Contact Info
Email: magda.latorre@upr.edu
SIGNIFICANT PUBLICATIONS
Polo-Corrales, L., Latorre-Esteves, M., & Ramirez-Vick, J. E. (2014). Scaffold design for bone regeneration. Journal of Nanoscience and Nanotechnology, 14(1), 15–56. https://doi.org/10.1166/jnn.2014.9127
Ayala, V., Herrera, A. P., Latorre-Esteves, M., Torres-Lugo, M., & Rinaldi, C. (2013). Effect of surface charge on the colloidal stability and in vitro uptake of carboxymethyl dextran-coated iron oxide nanoparticles. Journal of Nanoparticle Research, 15, Artículo 1874. https://doi.org/10.1007/s11051-013-1874-0
Santiago-Rodríguez, L., Lafontaine, M. M., Castro, C., Méndez-Vega, J., Latorre-Esteves, M., Juan, E. J., Mora, E., Torres-Lugo, M., & Rinaldi, C. (2013). Synthesis, stability, cellular uptake, and blood circulation time of carboxymethyl-inulin coated magnetic nanoparticles. Journal of Materials Chemistry B, 1(22), 2807–2817. https://doi.org/10.1039/C3TB20256A
León Colón, Leyda
Electrical and Computer Engineering
Research interests
- Radar Meteorology
- Applied Electromagnetics
- Microwave Remote Sensing
- Microwave Technology
- Precipitation Microphysics
About
Dr. Leyda León-Colón specializes in radar meteorology and microwave remote sensing. Her research at the Puerto Rico Weather Radar Network focuses on attenuation correction and precipitation microphysics, specifically for X-band networks. She develops algorithms to improve data accuracy in tropical storms, bridging applied electromagnetics with advanced atmospheric monitoring systems.
Contact Info
Email: leyda.leon@upr.edu
Office: OF-333
Phone: (787) 832-4040 ext. 6197
SIGNIFICANT PUBLICATIONS
Mora Navarro, K. M., Costa, E., Morales Rodriguez, C. A., Cruz-Pol, S., & León Colón, L. V. (2019). Realistic rain model for the estimation of the rainfall rate from radar measurements. IEEE Transactions on Antennas and Propagation, 67(9), 6104–6114. https://doi.org/10.1109/TAP.2019.2921006
Rodríguez-Solís, R. A., Colom-Ustáriz, J. G., Cruz-Pol, S., & León-Colón, L. (2014). Microwave research at the University of Puerto Rico at Mayagüez. 2014 IEEE MTT-S International Microwave Symposium (IMS2014), Tampa, FL, USA. 1–3. https://doi.org/10.1109/MWSYM.2014.6848677
Galvez, M. B., Colom, J. G., Chandrasekar, V., Junyent, F., Cruz-Pol, S., Rodríguez-Solís, R. A., Leon-Colon, L. V., Rosario-Colon, J. J., De Jesus, B., Ortiz, J. A., & Mora-Navarro, K. M. (2013). First observations of the initial radar node in the Puerto Rico TropiNet X-band polarimetric Doppler weather testbed. 2013 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Melbourne, VIC, Australia. 2337–2340. https://doi.org/10.1109/IGARSS.2013.6723287
López Del Puerto, Carla
Civil Engineering and Surveying
Research interests
- Construction management
- Alternative project delivery methods
- Sustainable design
- Latino issues in construction
About
Dr. Carla López del Puerto specializes in construction engineering and management, focusing on alternative project delivery methods and infrastructure resilience. As PI for the NSF-sponsored RISE-UP project, her research bridges design-build expertise with safety, risk management, and STEM workforce development to advance sustainable practices and engineering education.
Contact Info
Email: carla.lopezdelpuerto@upr.edu
Office: CI-206
Phone: (787) 832-4040 ext. 6344
SIGNIFICANT PUBLICATIONS
Guillemard, L., Soto, M., Lopez Del Puerto, C., & Cavallin, H. E. (2023, 25–28 de junio). Board 221: Beyond surveys: Using visual data to evidence achievement of proposed learning objectives [Sesión de póster]. 2023 ASEE Annual Conference & Exposition, Baltimore, MD, Estados Unidos. https://doi.org/10.18260/1-2–42649
Lopez Del Puerto, C., Alfaro, M., Bellido, C. M., Cafaro, M. J., & Delgado, B. M. (2023, 25–28 de junio). Board 312: Implementing an ecosystem to expand capabilities and opportunities for STEM-scholars [Sesión de póster]. 2023 ASEE Annual Conference & Exposition, Baltimore, MD, Estados Unidos. https://doi.org/10.18260/1-2–42868
López del Puerto, C., Cavallin, H., Perdomo, J., Muñoz, J., Suárez, M., and Vázquez, D., RISE-UP: An Interdisciplinary Learning Tool to Generate Sustainable and Resilient Infrastructure, International Journal of Natural Disasters, Accidents and Civil Infrastructure, (2021). Vol. 19-20, 17
Lu, Kejie
Computer Science and Engineering
Research interests
- Cybersecurity
- Wireless communications
- Computer networks
- IoT
- AI
- Machine learning
About
Dr. Kejie Lu specializes in computer and communications networks, focusing on architecture, protocol design, and network security. His research advances wireless communications through the development of medium access frameworks for mesh networks and distributed key management for sensor networks. He also contributes to high-speed optical networking and space-time coding to optimize data transmission in error-prone environments.
Contact Info
Email: kejie.lu@upr.edu
Office: S-601
Phone: (787) 832-4040 ext. 3510
SIGNIFICANT PUBLICATIONS
Wang, D., & Lu, K. (2026). Enhancing the privacy and security of federated learning: A survey. En M. Rodriguez Martinez, K. Lu, F. Ye, & Y. Qian (Eds.), Proceedings of the International Symposium on Intelligent Computing and Networking 2025 (Vol. 1698, pp. 290–305). Springer. https://doi.org/10.1007/978-3-032-09694-4_21
Liu, S., Wang, J., Jiao, R., Yang, B., Zhou, J., & Lu, K. (2026). Ensemble workload prediction with fluctuation division control in the computing power network. IEEE Transactions on Cloud Computing. Publicación anticipada en línea. https://doi.org/10.1109/TCC.2026.3660742
Wen, M., Shen, H., Li, X., Han, K., & Lu, K. (2026). A dynamic differential privacy mechanism based on feature importance in deep learning. IEEE Internet of Things Journal, 13(1), 1115–1127. https://doi.org/10.1109/JIOT.2025.3628845
Lugo Beauchamp, Wilfredo
Computer Science and Engineering
Research interests
- Edge Computing
- Edge ML
- Computer Vision
- Data Science
- Virtual Machines
- Big Data
About
Dr. Wilfredo Enrique Lugo-Beauchamp specializes in data science and computer vision, focusing on embedded systems for healthcare. His research advances model compression and quantization for wearable medical devices and real-time diagnostics. He also contributes to high-performance computing through work on focal-plane processing and genome mapping algorithms.
Contact Info
Email: wilfredo.lugo1@upr.edu
Office: OF-331
Phone: (787) 832-4040 Ext. 6198
SIGNIFICANT PUBLICATIONS
Delgado-López, J. M., Morell-Rodriguez, R. A., Rosario, S. O., & Lugo-Beauchamp, W. E. (2026). Computer vision for real-time monkeypox diagnosis on embedded systems. En M. Rodriguez Martinez, K. Lu, F. Ye, & Y. Qian (Eds.), Proceedings of the International Symposium on Intelligent Computing and Networking 2025 (Vol. 1698, pp. 202–218). Springer. https://doi.org/10.1007/978-3-032-09694-4_15
Delgado-López, J. M., Seda-Hernandez, A. P., Guadalupe-Rosado, J. D., Fernandez Ramirez, L. E., Giboyeaux-Camilo, M., & Lugo-Beauchamp, W. E. (2026). Model compression for wearable devices skin cancer diagnosis. En M. Rodriguez Martinez, K. Lu, F. Ye, & Y. Qian (Eds.), Proceedings of the International Symposium on Intelligent Computing and Networking 2025 (Vol. 1698, pp. 627–642). Springer. https://doi.org/10.1007/978-3-032-09694-4_44
Romero, S. A. C., & Lugo Beauchamp, W. E. (2026). Performance analysis of post-training quantization for CNN-based conjunctival pallor anemia detection. En M. Rodriguez Martinez, K. Lu, F. Ye, & Y. Qian (Eds.), Proceedings of the International Symposium on Intelligent Computing and Networking 2025 (Vol. 1698, pp. 248–263). Springer. https://doi.org/10.1007/978-3-032-09694-4_18
Lugo Ortiz, José
Mechanical Engineering
Research interests
- Design theory
- Virtual reality
- Product design
About
Dr. José E. Lugo Ortiz is a Professor of Mechanical Engineering specializing in user-centered design, VR in product representation, and the intersection of design and entrepreneurship. His research explores design aesthetics in engineering, supported by funding from NSF, General Motors, P&G, and the Puerto Rico Science, Technology and Research Trust.
Contact Info
Email: jose.lugo2@upr.edu
Office: L-214
Phone: (787) 832-4040 ext. 3486
SIGNIFICANT PUBLICATIONS
Lugo, J. E., Gutiérrez, L. E., Herrero, I., & Rivera, H. A. (2024). Comparison between VR and CAD product representation on subject preference via discrete choice experimentation. Computer-Aided Design and Applications, 21(1), 55–74. https://doi.org/10.14733/cadaps.2024.55-74
Valencia-Romero, A., & Lugo, J. E. (2017). An immersive virtual discrete choice experiment for elicitation of product aesthetics using Gestalt principles. Design Science, 3, e11. https://doi.org/10.1017/dsj.2017.12
Lugo, J. E., Schmiedeler, J. P., Batill, S. M., & Carlson, L. (2015). Quantification of classical Gestalt principles in two-dimensional product representations. Journal of Mechanical Design, 137(9), Artículo 094502. https://doi.org/10.1115/1.4030988