José Fernando Maya-Vetencourt – Network Science- Top Researcher Award

Published on by Network Science

José Fernando Maya-Vetencourt – Network Science- Top Researcher Award

Assoc Prof Dr. José Fernando Maya-Vetencourt distinguished academic and researcher in the field Network science.

🌐 Professional Profile

Educations📚📚📚

Dr. José Fernando Maya-Vetencourt obtained his Bachelor’s degree in Biology from the University of the Andes in Merida. He then pursued a Master’s degree in Biochemistry and Cellular Biology at the Ecole Normale Supérieure in Paris, where he contributed to an international research project. He earned his PhD in Neurobiology at the Scuola Normale Superiore of Pisa under the mentorship of Lamberto Maffei and continued there as a Postdoctoral fellow. His postdoctoral work extended to the NEST laboratory.

Research Interests

Dr. Maya-Vetencourt’s research interests encompass:

  1. Neuronal Interfaces: Developing devices to substitute damaged tissues in the nervous system.
  2. Optogenetics and Neuronal Plasticity: Investigating mechanisms underlying sensory perception and behavior.
  3. Retinal Circuitries: Studying physiological and pathological conditions in the retina.

Publications and Academic Contributions

Dr. Maya-Vetencourt has published 34 scientific manuscripts in esteemed peer-reviewed journals, with 29 indexed in PubMed, including Science, Nature Neuroscience, and Nature Nanotechnology. He has edited one neuroscience book, authored four book chapters, and co-invented four patents. His work has garnered over 3400 citations, an H-index of 22 on Google Scholar, and an average impact factor per manuscript of 13.06.

Teaching and Mentorship

He has supervised over 35 Master’s thesis students in Neuroscience and Biotechnology. Dr. Maya-Vetencourt is a member of the Italian Society of Neuroscience (SINS), the American Society of Neuroscience (SfN), and the Italian Physiological Society (SIF). He serves as an associate review editor for “Frontiers in Molecular Neuroscience” and “Frontiers in Cellular Neuroscience”.

Awards and Recognitions

In 2017, Dr. Maya-Vetencourt received two prestigious “Young Investigator” awards: one from the Italian Physiological Society in Pavia and another from the Federation of European Physiological Societies in Vienna.

Pioneering Research

Dr. Maya-Vetencourt pioneered approaches to reactivate juvenile-like plasticity in the adult visual system (Nat Neurosc 2007; Science 2008). He explored chromatin susceptibility mechanisms for reinstating plasticity in the adult brain (Eur J Neurosci 2011). At IIT, he set up an electrophysiology lab to apply photovoltaic interfaces in rodent models of retinitis pigmentosa, leading to the development of a fully organic prosthetic device for subretinal implantation in RCS rats (Nat Mat 2017). This research demonstrated significant recovery of light sensitivity and visual acuity, accompanied by increased metabolic activity in the visual cortex.

Current Projects

Dr. Maya-Vetencourt is currently working on adapting surgical implant procedures for pig models to evaluate biocompatibility and visual function recovery (Front Bioeng Biotech 2020). He is also developing innovative “liquid” retinal prostheses to address age-related macular degeneration (Nat Nanotech 2020a, 2020b).

Future Directions

Dr. Maya-Vetencourt continues to advance the field of neuroscience by developing novel, biocompatible, and cost-effective solutions for neurodegenerative diseases, aiming to improve therapeutic outcomes for patients with degenerative blindness.

 

 

📝🔬Publications📝🔬

  • 1. Edoardo Porzano, Benedetta Borghi, José Fernando Maya-Vetencourt. 2024.
    Environmental enrichment as an innovative therapeutic approach to treat neurodegenerative
    blindness (in preparation)
    2. Edoardo Porzano, Dominga Lapi, Benedetta Borghi, Silvia Marracci, Melecchi Alberto,
    Giovanni Casini, José Fernando Maya-Vetencourt. 2024. Enriched environment
    enhances visual responses of the inner retina in early-stage retinitis pigmentosa (in
    preparation)
    3. Dmytro Shmal, Giulia Mantero, Thomas Floss, Fabio Benfenati, José Fernando MayaVetencourt. 2024. Restoring vision in adult amblyopia by enhancing plasticity through
    deletion of the transcriptional repressor REST. iScience 27(4): 109507. IF 5.8
    4. Ilaria Piano, Arianna Votta, Patrizia Colucci, Francesca Corsi, Sara Vitolo, Chiara Cerri, Dario
    Puppi, Michele Lai, José Fernando Maya-Vetencourt, Massimiliano Leigheb, Chiara
    Gabellini, Elisabetta Ferraro. 2023. Anti-inflammatory reprogramming of microglia cells by
    metabolic modulators to counteract neurodegeneration: a new role for Ranolazine. Scientific
    Reports 13: 20138. IF 5.13
    5. Simona Francia, Stefano Di Marco, Mattia Lorenzo DiFrancesco, Davide Ferrari, Dmytro
    Shmal, Alessio Cavalli, Grazia Pertile, Marcella Attanasio, José Fernando MayaVetencourt, Giovanni Manfredi, Guglielmo Lanzani, Fabio Benfenati, Elisabetta Colombo.
    2023. P3HT-Graphene device for the restoration of visual properties in a model of retinitis
    pigmentosa. Advanced Materials Technologies 8: 2201467. IF 8.86
    6. Domenico Ventrella*, José Fernando Maya-Vetencourt*, Alberto Elmi, Francesca Barone,
    Camilla Aniballi, Luisa Vera Muscatello, Maurizio Mete, Grazia Pertile, Fabio Benfenati, Maria
    Laura Bacci. 2022. The p-ERG spatial acuity in the biomedical pig under physiological
    conditions. Scientific Reports 12: 15479. IF 5.13
    7. Simona Francia, Dmytro Shmal, Stefano Di Marco, Greta Chiaravalli, José Fernando MayaVetencourt, Giulia Mantero, Caterina Michetti, Sara Cupini, Giovanni Manfredi, Mattia
    Lorenzo DiFrancesco, Anna Rocchi, Sara Perotto, Marcella Attanasio, Riccardo Sacco, Silvia
    Bisti, Maurizio Mete, Grazia Pertile, Guglielmo Lanzani, Elisabetta Colombo, Fabio Benfenati.
    2022. Light induced charge generation in polymeric nanoparticles restores vision in
    advanced-stage retinitis pigmentosa rats. Nature Communications 13: 3677. IF 17.69
    8. Miguel Skirzewski, Stéphane Molotchnikoff, Luis F Hernandez, José Fernando MayaVetencourt. 2022. Multisensory integration: is medial prefrontal cortex signaling relevant for
    the treatment of higher-order visual dysfunctions? Frontiers in Molecular Neuroscience
    14: 806376. IF 5.63
    9. Stefano di Marco, Mattia Di Francesco, Elisabetta Colombo, Giovanni Manfredi, José
    Fernando Maya- Vetencourt, Guglielmo Lanzani, Fabio Benfenati. 2020. Modulation of
    neuronal firing: what role can nanotechnology play? Nanomedicine 8: 579141. IF 4.7
    10. José Fernando Maya-Vetencourt, Stefano Di Marco, Maurizio Mete, Mattia Di Paolo,
    Francesca Barone, Domenico Ventrella, Giovanni Manfredi, Silvia Bisti, Guglielmo Lanzani,
    Grazia Pertile, Maria Laura Bacci, Fabio Benfenati. 2020. Biocompatibility of a polymeric
    subretinal prosthesis in the domestic pig. Frontiers in Bioengineering and
    Biotechnology 8: 1188. IF 6.06
    11. José Fernando Maya-Vetencourt, Giovanni Manfredi, Maurizio Mete, Elisabetta Colombo,
    Mattia Bramini, Mattia DiFrancesco, Dmytro Shmal, Cyril Eleftheriou, Francesca Di Maria,
    Vanessa Cossu, Laura Emionite, Flavia Ticconi, Cecilia Marini, Gianmario Sambuceti, Grazia
    Pertile, Guglielmo Lanzani, Fabio Benfenati. 2020. Subretinal semiconducting polymer
    nanoparticles fully rescue vision in a rat model of retinal dystrophy. Nature
    Nanotechnology 15: 698. IF 40.5
    12. DiFrancesco Mattia, Elisabetta Colombo, Ermanno Papaleo, José Fernando MayaVetencourt, Giovanni Manfredi, Guglielmo Lanzani, Fabio Benfenati. 2020. A hybrid P3HTGraphene interface for efficient photostimulation of neurons. Carbon 162: 308. IF 11.3
    13. Francesca Barone, Luisa Vera Muscatello, Domenico Ventrella, Alberto Elmi, Noemi
    Romagnoli, Luciana Mandrioli, José Fernando Maya-Vetencourt, Cristiano Bombardi,
    Maurizio Mete, Giuseppe Sarli, Fabio Benfenati, Grazia Pertile, Maria Laura Bacci. 2020. The
    porcine iodoacetic acid model of retinal degeneration: morpho-functional characterization of
    the visual system. Experimental Eye Research 193 107979. IF 3.77
    14. Mattia DiFrancesco, Francesco Lodola, Elisabetta Colombo, Luca Maragliano, Giuseppe M.
    Paternò, Mattia Bramini, Simone Cimò, Letizia Collela, Daniele Fazzi, José Fernando MayaVetencourt, Chiara Bertarelli, Guglielmo Lanzani, Fabio Benfenati. 2020. Neuronal firing
    modulation by a membrane-targeted photoswitch. Nature Nanotechnology 15(4): 296. IF
    40.5
    15. Stéphane Molotchnikoff, Vishal Bharmauria, Nayan Chanauria, Lyes Bachatene, José
    Fernando Maya- Vetencourt. 2019. The function of connectomes in encoding sensory
    stimuli. Progress in Neurobiology 101659. IF 14.16
    16. Luisa Vera Muscatello, Francesca Barone, Domenico Ventrella, Alberto Elmi, Luciana
    Mandrioli, Noemi Romagnoli, José Fernando Maya-Vetencourt, Cristiano Bombardi,
    Maurizio Mete, Giuseppe Sarli, Fabio Benfenati, Grazia Pertile, Maria Laura Bacci. 2019.
    Retinal features in iodoacetic-treated biomedical pigs as a model for photoreceptor disorders.
    Journal of Comparative Pathology 166: 103. IF N.A.
    17. Francesca Barone, Eleonora Nannoni, Alberto Elmi, Domenico Ventrella, Marika Vitali,
    Giovanna Martelli, José Fernando Maya-Vetencourt, Fabio Benfenati, Maria Laura Bacci.
    2018. Behavioral assessment of vision in pigs. Journal of the American Association for
    Laboratory Animal Science 57(4): 350. IF 1.34

Carolina Cabrero – Applications of Network science in Archeology Award – Young Scientist Award

Published on by Network Science

Carolina Cabrero – Applications of Network science in Archeology Award – Young Scientist Award

Dr. Carolina Cabrero distinguished academic and researcher in the field Applications of Network science in Archeology. She currently holds a position as a Postdoctoral Researcher at the Grupo de Estudios en Prehistoria Reciente de Andalucía (GEPRAN, HUM-274) within the Department of Prehistory and Archaeology at the University of Granada in Spain. Commencing on July 7, 2023, she specializes in Prehistory, particularly focusing on Megalithic complexes, spatial patterns, and quantitative archaeology, with expertise in Geographic Information Systems. For inquiries, she can be reached at (+34) 958243611.

🌐 Professional Profiles

Educations📚📚📚

She holds a Ph.D. in History and Arts from the University of Granada, which she completed in 2023. Prior to this, she obtained a University Expert certification in Anthropology from the University of Isabel I in 2021. She also holds a Master of Science degree in Archaeology from the University of Granada, achieved in 2018. Her academic journey began with a Bachelor’s degree in History from the University of Oviedo, which she completed in 2015. Experience

She has held various positions in the field of archaeology and research. From January 23, 2023, to April 8, 2023, she served as a Co-director in the project of photovoltaic power plants in Pinos Puente-Colomera with CLÍO Arqueología in Spain, which concluded upon the project’s completion. Prior to this, from May 31, 2022, to October 31, 2022, she worked as a Technician in Proyecto ALCO with Palimpsesto Lda. in Portugal, completing her tenure with the project’s conclusion. She also worked as a Director in several projects, including “Replanteando el megalitismo del sudeste. Prospección arqueológica superficial en el entorno de los ríos Gor y Fardes” as a freelancer in Spain from March 30, 2022, to June 15, 2022. Additionally, she served as Director in Projecto Florestal da Herdade das Lendas as a freelancer in Portugal from August 30, 2021, to September 31, 2022. She was also the Director in the Archaeological excavation of the site Seixinho with Archéocelis in Portugal from April 1, 2021, to July 31, 2021. Prior to these roles, she worked as a Predoctoral Researcher in the Department of Prehistory and Archaeology at the University of Granada in Spain from December 1, 2019, until completing her research on July 7, 2023.

📝🔬Publications📝🔬

Yadvendra Pratap Singh – Biological Networks – Best Researcher Award

Published on by Network Science

Yadvendra Pratap Singh – Biological Networks

Dr. Yadvendra Pratap Singh distinguished academic and researcher in the field  Biological Network. He is committed to providing students with exceptional education and training to foster their understanding of subject areas and enhance their critical-thinking abilities. His focus extends to research, teamwork, mentoring, and service. With primary research interests spanning Web-GIS, GIS and Remote Sensing, as well as Image Processing, he also delves into the realms of Machine Learning and Deep Learning. He ensures that all information provided in his CV is true to the best of his knowledge, reflecting his dedication to integrity and professionalism.

 

🌐 Professional Profiles

Educations: 📚🎓

  • He completed his educational journey with distinction, earning a Ph.D. in CSE/Geoinformatics from Motilal Nehru National Institute of Technology in Allahabad, Prayagraj, Uttar Pradesh, in October 2019. Prior to this, he obtained his M.Tech. in CSE/Geoinformatics from the same institute in June 2013. Building upon his academic foundation, he pursued a B.Tech. in Information Technology from Uttar Pradesh Technical University in Lucknow, Uttar Pradesh, graduating in June 2008. His academic pursuits began with Intermediate studies in PCM, and he laid the groundwork for his educational path with a High School degree in Science, both accredited by the U.P. Board and completed in June 2003 and June 2001, respectively.

 EXPERIENCE

He has amassed a wealth of experience in academia, culminating in his current position as Assistant Professor (Senior Scale) in CSE(AIML) at Manipal University Jaipur, where he has been since July 2022. Prior to this role, he served as an Assistant Professor in CSE-AIML at Noida Institute of Engineering and Technology, Greater Noida, Uttar Pradesh, from December 2021 to July 2022. His dedication to teaching and research is evident in his tenure as an Assistant Professor in the Department of Computer Science & Engineering at Galgotias University, Greater Noida, Uttar Pradesh, from July 2018 to December 2021. Earlier in his career, he contributed as a Lecturer in the Computer Science & Engineering department at C.S.M. College of Engineering and Technology/UPTU in Allahabad, Uttar Pradesh, from January 2009 to April 2010. Through these roles, he has demonstrated a commitment to academic excellence and the development of future professionals in the field of computer science and engineering.

 

Administrative Leadership Positions, Nucleus Team Member or Committee Service

He actively engages in administrative leadership and committee service, demonstrating his commitment to organizational growth and development. Currently, he serves as a Nucleus member of the E-Cell at CSE(AIML) and Manipal University Jaipur, Jaipur, Rajasthan, a role he has held since 2023. Additionally, he contributes to the Budget Committee for CSE(AIML) at the same institution, demonstrating his involvement in financial planning and decision-making processes. In previous years, he played a crucial role as a member of the NBA Committee for CSE at Galgotias University, Greater Noida, Uttar Pradesh, during the academic year 2019-2020. Through these leadership positions and committee memberships, he actively contributes to the strategic initiatives and operational excellence of the academic institutions he is associated with.

 

Honors and Prizes

He has garnered recognition for his contributions in both academic and extracurricular spheres. Notably, in March 2023, his collaborative work on “Language Detection Using Natural Language Processing,” authored alongside Y. Rajanak and R. Patil, earned them the Best Paper Award at the 9th International Conference on Advanced Computing and Communication Systems (ICACCS) held in Coimbatore. This accolade underscores his proficiency and innovation in the field of computer science. Furthermore, his leadership abilities were acknowledged earlier in February 2013 when he received the Best Coordinator award at the 47th Annual Athletic Meet at MNNIT Allahabad, Prayagraj. These achievements reflect his multifaceted talents and dedication to excellence in both academic research and event coordination.

Completed and Ongoing Projects
2015 Vehicle routing and scheduling in solid waste collection systems using GIS
Technology Team Members: Prof. (Dr.) A.K. Singh , Yadvendra Pratap Singh
Innovative research project grant under TEQIP-II of Rs. 3,00,000.00
(link: http://mnnit.ac.in/teqip/?page_id=87) ( Status : Completed)
Thesis
Undergraduate Senior Thesis: Online Hospital Management System, United College of
Engineering and Research Allahabad, 30/05/2008
Master’s Thesis: Geospatial Database Development for Zoning of Waste Water Drainage of
Allahabad city., Prof. (Dr.) D.K.Yadav and Prof( Dr.) R. P. Singh,
Motilal Nehru National Institute of Technology Allahabad, 22/06/2013
4
Doctoral Dissertation: Web-GIS Based Municipal Solid Waste Management System,
Prof. (Dr.) A.K. Singh and Prof. (Dr.) R.P. Singh,
Motilal Nehru National Institute of Technology Allahabad (M.N.N.I.T.) Allahabad, 26/03/2019

Peer Reviewed Journal Publications

1. Gangrade S., Sharma P.C., Sharma A.K, Singh Y.P.(2024)”Modified DeeplabV3+ with multi-level
context attention mechanism for colonoscopy polyp segmentation” ,Computers in Biology and
Medicine,Volume 170,2024,108096,ISSN 0010-4825,
https://doi.org/10.1016/j.compbiomed.2024.108096.
2. Kumar, A.,Singh, Y.P.,Gupta, A.,Bhagat, M. (2022) “A Deep Neural Network for Classification of
Land Use Satellite Datasets in Mining Environments” Journal of Mining and Environment.
DOI: 10.22044/jme.2022.12262.2224
3. Singh, Y.P., Singh, R.P., Singh, A.K., Yadav, D.K. (2015), “Using GIS and Remote Sensing Technique
for Zoning of Wastewater Drainage of Allahabad City”, International Journal of Advanced Remote
Sensing and GIS, Vol 4, No 1 (2015), pp. 1419-1434
4. Singh, Y. P., Singh, A. K., & Singh, R. P. (2016). Web-GIS based Framework for Solid Waste
Complaint Management for Sustainable and Smart City. International Journal of Advanced
Remote Sensing and GIS, Vol 5, No 10 (2016), pp. 1930-1936

Workshops/FDP and Conferences Attended

1. STC on “Effective Teaching Learning using Social Media” held on 05/06/2023 to 09/06/2023
at NITTTR, Chandigarh
2. One Week Online Faculty Development Programme on “Big Data and Analytics” held on
03/04/2023 to 07/04/2023 at Dr B R Ambedkar National Institute of Technology Jalandhar.
3. workshop on “Effective Teaching-Learning Environment using ICT Tools held on 19/12/2022
to21/12/2022 at Manipal University Jaipur
4. Implications of Outcome Based Learning Pedagogy in Higher Education held on12/12/2022 to
16/12/2022 at Manipal University Jaipur
5. One week FDP on “MATLAB for Engineering Applications” held on 18/04/2022 to 22/04/2022,
at

Publications