Dingming Wu | Computer Science | Best Researcher Award

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Dr. Dingming Wu | Computer Science | Best Researcher Award

 

Profile

  • scopus

Education

He holds a Ph.D. in Computer Science and Technology from Harbin Institute of Technology, where he studied under the supervision of Professor Xiaolong Wang from March 2018 to December 2022. Prior to that, he earned a Master’s degree in Probability Theory and Mathematical Statistics from Shandong University of Science and Technology in collaboration with the University of Chinese Academy of Sciences, completing his studies under the guidance of Professor Tiande Guo between September 2014 and July 2017. His academic journey began with a Bachelor’s degree in Information and Computational Science from Shandong University of Science and Technology, which he completed between September 2006 and July 2010.

Work experience

He is currently a Postdoctoral Fellow at the University of Electronic Science and Technology of China, Chengdu, a position he has held since December 2022 and will continue until December 2024. His research focuses on EEG signal processing and algorithm feature extraction, specifically addressing the challenges posed by the complexity and individual variations of EEG signals. Given the limitations of traditional classification methods, his work aims to enhance recognition accuracy through advanced deep learning models, improving the decoding of intricate EEG signals and optimizing control accuracy. Additionally, he integrates artificial intelligence technologies to predict user intentions and provide proactive responses, ultimately enhancing the interactive experience. His system is designed for long-term stability and adaptability, leveraging self-learning mechanisms based on user feedback.

Previously, he worked as a Data Analyst at Qingdao Sanlujiu International Trade Co., Ltd., Shanghai, from September 2010 to July 2014. In this role, he was responsible for conducting statistical analysis of trade flow data.

Publication

  • [1] Dingming Wu, Xiaolong Wang∗, and Shaocong Wu. Jointly modeling transfer learning of
    industrial chain information and deep learning for stock prediction[J]. Expert Systems with
    Applications, 2022, 191(7):116257.
    [2] Dingming Wu, Xiaolong Wang∗, and Shaocong Wu.A hybrid framework based on extreme
    learning machine, discrete wavelet transform, and autoencoder with feature penalty for stock
    prediction[J]. Expert Systems with Applications, 2022, 207(24):118006.
    [3] Dingming Wu, Xiaolong Wang∗, and Shaocong Wu. Construction of stock portfolio based on
    k-means clustering of continuous trend features[J]. Knowledge-Based Systems, 2022,
    252(18):109358.
    [4] Dingming Wu, Xiaolong Wang∗, Jingyong Su, Buzhou Tang, and Shaocong Wu. A labeling
    method for financial time series prediction based on trends[J]. Entropy, 2020, 22(10):1162.
    [5] Dingming Wu, Xiaolong Wang∗, and Shaocong Wu. A hybrid method based on extreme
    learning machine and wavelet transform denoising for stock prediction[J]. Entropy, 2021,
    23(4):440.
    Papers to be published:
    [6] Wavelet transform in conjunction with temporal convolutional networks for time series
    prediction. Journal: PATTERN RECOGNITION; Status: under review; Position: Sole
    Author.
    [7] A Multidimensional Adaptive Transformer Network for Fatigue Detection. Journal: Cognitive
    Neurodynamics; Status: accept; Position: First Author.
    [8] A Multi-branch Feature Fusion Deep Learning Model for EEG-Based Cross-Subject Motor
    Imagery Classification. Journal: ENGINEERING APPLICATIONS OF ARTIFICIAL
    INTELLIGENCE; Status: under review; Position: First Author.
    [9] A Coupling of Common-Private Topological Patterns Learning Approach for Mitigating Interindividual Variability in EEG-based Emotion Recognition. Journal: Biomedical Signal
    Processing and Control; Status: Revise; Position: First Corresponding Author.
    [10] A Function-Structure Adaptive Decoupled Learning Framework for Multi-Cognitive Tasks
    EEG Decoding. Journal: IEEE Transactions on Neural Networks and Learning Systems;
    Status: under review; Position: Co-First Author.
    [11] Decoding Topology-Implicit EEG Representations Under Manifold-Euclidean Hybrid Space.
    Computer conference: International Joint Conference on Artificial Intelligence 2025 (IJCAI);
    Status: under review; Position: Second Corresponding Author.
    [12] Style Transfer Mapping for EEG-Based Neuropsychiatric Diseases Recognition. Journal:
    EXPERT SYSTEMS WITH APPLICATIONS; Status: under review; Position: Second
    Corresponding Author.
    [13] An Adaptive Ascending Learning Strategy Based on Graph Optional Interaction for EEG
    Decoding. Computer conference: International Joint Conference on Artificial Intelligence
    2025 (IJCAI); Status: under review; Position: Second Corresponding Author.
    [14] A Transfer Optimization Methodology of Graph Representation Incorporating CommonPrivate Feature Decomposition for EEG Emotion Recognition. Computer conference:
    International Joint Conference on Artificial Intelligence 2025 (IJCAI); Status: under review;
    Position: Second Corresponding Author.
    [15] An Interpretable Neural Network Incorporating Rule-Based Constraints for EEG Emotion
    Recognition. Computer conference: International Joint Conference on Artificial Intelligence
    2025 (IJCAI); Status: under review; Position: First Author.

Taylor Napier | Intimate Partner Violence | Best Researcher Award

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Dr. Taylor Napier | Intimate Partner Violence | Best Researcher Award

 

 

Profile

Education

She earned her Doctor of Philosophy in Clinical Psychology in 2024 from the Department of Psychology at the University of Memphis, an APA-accredited program. Her major area of study focused on Child, Adolescent, and Family Studies, and her dissertation, titled Violence Across the Family System: Examining the Direct and Intergenerational Effects of Violence Victimization on Youth’s Social Competence, was chaired by Dr. Kathryn H. Howell. As part of her doctoral training, she completed a predoctoral psychology internship in the Department of Psychiatry & Behavioral Sciences at the Oklahoma Health Science Center, an APA-accredited program, specializing in the Child Clinical track under the supervision of Training Director Dr. Jim Scott.

She previously earned a Master of Science in General Psychology from the University of Memphis in 2019, where she worked under the guidance of Dr. Kathryn H. Howell. Her thesis, Differentiating the Effects of Anxious and Avoidant Attachment on Depression and Resilience Following Trauma, explored the impact of attachment styles on mental health outcomes. She completed her undergraduate studies in 2016, earning a Bachelor of Science in Psychology from Gardner-Webb University in Boiling Springs, NC.

Work experience

She has gained extensive supervised clinical experience across various settings. From 2023 to 2024, she served as a Clinical Psychology Resident at the University of Oklahoma Health Science Center at OUHealth in Oklahoma City, OK, dedicating 24 hours per week to the Child Study Center. In this outpatient training clinic, she provided evidence-based parenting training programs and therapy services for children and families, including those involved with the child welfare system. Her responsibilities included administering cognitive and behavioral assessments, composing comprehensive developmental reports, conducting psychodiagnostic assessments, and developing treatment plans. She provided behavioral management services using Parent-Child Interaction Therapy (PCIT), trauma-based services with Trauma-Focused Cognitive Behavioral Therapy (TF-CBT), and anxiety treatments, including Selective Mutism interventions. Additionally, she monitored client treatment progress, maintained weekly documentation, and used electronic health records under the supervision of licensed psychologists, including Drs. Elizabeth Bard, Tabitha Fleming, Beverly Funderburk, Erin Taylor, and Ashley Galsky.

Simultaneously, from 2023 to 2024, she worked 12 hours per week as a Clinical Psychology Resident at Stevenson Cancer Center, where she provided mental health counseling for adults with cancer within an interdisciplinary healthcare setting. She conducted biopsychosocial assessments to determine the need for brief psychotherapy interventions following cancer diagnoses, created treatment plans, and delivered cognitive-behavioral treatments while assessing symptom changes over time. She also completed weekly documentation using an electronic health record system under the supervision of Drs. Rachel Funk-Lawler and Blake Hilton.

From 2020 to 2023, she was a Graduate Student Therapist at the Psychological Services Center in Memphis, TN, a university-based outpatient training clinic serving a diverse community population. She administered psychological and behavioral assessments, formulated cases, created treatment plans, and conducted psychotherapy using empirically supported treatments. Additionally, she regularly monitored client progress through validated assessments, conducted risk assessments, and maintained comprehensive documentation, including session notes and closing reports, under the supervision of licensed psychologists Drs. Kristoffer S. Berlin, Audrey Townsel, and Ryan Farmer.

During the 2021-2022 academic year, she worked 20 hours per week as a Graduate Clinician at the University of Tennessee Health Science Center’s Center for Developmental Disabilities in Memphis, TN. In this interdisciplinary setting, she conducted diagnostic intake interviews, administered psychometric scales, and performed cognitive and socio-emotional testing for children suspected of having neurodevelopmental disabilities. Her work informed differential diagnoses, and she provided Applied Behavior Analysis (ABA) services through the ABA for Families program. She also composed comprehensive reports, documented treatment plans, and tracked and graphed session data, supervised by Drs. Philip Norfolk, Alexandra Vohs, Bruce Keisling, and Colby Taylor.

In the summer of 2021, she volunteered as a Graduate Psychometrician at Irby Psychological Services in Southaven, MS, where she administered psychological, cognitive, and behavioral assessments for children and adolescents with developmental disabilities and various mental health diagnoses. She also composed integrated psychological reports, conducted intake assessments with primary caregivers, and participated in family feedback sessions to review the final reports under the supervision of Dr. Sarah Irby.

Between 2017 and 2019, and again from 2022 to 2023, she served as a Group Intervention Leader at the University of Memphis, facilitating a five-week intervention program for pregnant women who had recently experienced intimate partner violence. She led weekly two-hour group intervention sessions covering cognitive-behavioral, mindfulness, dialectical-behavioral, and motivational interviewing strategies, along with psychoeducation on violence, pregnancy, and parenting. This work was supervised by Drs. Kathryn H. Howell and Laura Miller-Graff.

Award and Honor

She has received numerous honors and awards in recognition of her academic excellence and professional achievements. In 2024, she was honored as the Outstanding Clinical Psychology Intern at the Oklahoma Health Science Center in Oklahoma City, OK. In 2022, she was recognized as an Emerging Student Leader by the Association of University Centers on Disabilities at the University of Tennessee Health Science Center’s Center for Developmental Disabilities in Memphis, TN. That same year, she received the Life Paths Student Scholarship from the Life Paths Research Center for the Mindful Writing Retreat in Nashville, TN, which included a $340 award based on her professional development statement.

Earlier in her academic career, she was awarded the Craig M. Brown Master’s Program in General Psychology Director’s Award in 2019 from the University of Memphis, receiving a $1,000 scholarship for academic excellence. In 2016, she was recognized as the Outstanding Undergraduate Student in Psychology at Gardner-Webb University, an honor given to a psychology student demonstrating exceptional promise in the field as determined by faculty.

She has also received multiple travel awards to support her participation in scientific conferences. Between 2017 and 2023, she was granted a total of $3,500 through the Conference Travel Grant from the University of Memphis Department of Psychology. In 2018, she was awarded the American Psychological Association Student Travel Award to attend the APA Conference in San Francisco, CA, receiving $300 based on her travel funding application. Additionally, she was a recipient of the College of Arts & Sciences Travel Funding Award from the University of Memphis in 2018, securing another $300 to support her professional development through conference travel.

 

Publication

Ana Sevilla-Pavón | Computer-assisted Language Learning | Best Scholar Award

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Dr.Ana Sevilla-Pavón | Computer-assisted Language Learning | Best Scholar Award

Universitat de València,Spain

Profile

Education

Bachelor’s Degree in English Philology and Bachelor’s Degree in French (2000 Plan). June 2007 and June 2012, respectively. Universitat de València. Graduated with Honours. Outstanding Graduate of the Year Award from the Universitat de València, Spain. Academic Excellence Award from Valencia’a Reginal Government (Generalitat Valenciana).

International PhD in Applied Linguistics. Advanced Studies Diploma. May 2013 and October 2011. “Languages and Technology” PhD Programme, Quality Award from the Ministry of Education (RD 778/1998, Ref. MCD2007-00165). Graduated with Honours. Proposed for the Outstanding PhD Graduate of the Year Award. Deparment of Applied Linguistics, Universitat Politècnica de València, Spain.

Work experience

PROFESSIONAL POSITIONS HELD

12/09/2019 to present: Associate Professor, Dept. of English and German Philology, Universitat de València (ref. tenure 10/2019, n. 6194, Universitat de València, published on 23/05/2019, BOE n. 238 from 03/10/2019, tenured confirmed on: 18/09/2019

RECENT COURSES TAUGHT AND OTHER SERVICES: RESEARCH PROJECTS

Master’s courses, UV: “Techniques and methodologies in research, Context: Advanced research techniques in linguistics” (44409), Master’s Degree in Research in Languages and Literatures, Faculty of Philology, Translation and Communication (2022-2023 to present, 1 ECTS); “English language teaching and learning” (40515), Master’s Degree in Secondary Education Teaching, Teacher Training Faculty (2019-2020 to present, 4 ECTS); “How to write and present an academic paper” (44237, 2022-2023 to present, 1.2 ECTS);) and “Research methods and resources in language and linguistics” (44230), Master’s Degree in English Advanced Studies, Faculty of Philology, Translation and Communication (2019-2020 to 2021-2022, 1.2 ECTS).

Undergraduate courses, UV: “History and Culture of English-speaking Countries” (35319), English Studies Degree, Faculty of Philology, Translation and Communication (2023-2024 to present, 6 ECTS); “Business English Communication III (C1 level)” (35876), Groups A, B and C, International Business Degree, Faculty of Economics (2019-2020 to 2022-2023, 6 ECTS per group).

PhD Supervision, Languages, Literatures and Cultures Programme, UV, 2021 to present: Amir Reza Rahimi: “Beyond Language and Culture Skills in Virtual Exchange : Toward the Computational Thinking Skills (CTCALL), and Interactive, Constructive, Active, and Passive (ICAPCALL) frameworks” co-supervisor: Ana Gimeno-Sanz); Cláudio França: “Production and dissemination of knowledge in languages other than English: a bibliometric analysis” (co-supervisor: Kyria Finardi); Marta Fortes: “Three-dimensional and telecollaborative virtual reality in the teaching of business Spanish” (co-supervisor: Marta Giralt); Ana Rachel Macêdo Mendes: “The Role of Mobility in (De)Constructing Internationalization: Dialogues and Perspectives” (co-supervisor: Kyria Finardi).

Master’s Final Theses and Practicum supervision (40561), Master’s in Secondary Education English Language Teaching, Teacher Training Faculty, UV, 2022-2023: Alexia Tudela Canet: “Exploring the efficacy of dubbing, subtitling, and audiodescription as an educational resource in English language acquisition”; Laura Moncho Moncholí: “Learning the passive voice in a baccalaureate English class through an educational breakout”; Lucía Álvarez Cuesta: “Fanfiction writing as an innovative English as a Foreign Language teaching and learning technique in Compulsory Secondary Education”; María Galindo Martínez: “Vocabulary Acquisition through Virtual Reality and Gamification” and Gloria Mª Hernández Arche: “a Photovoice initiative for contextual learning around Sustainable Development Goals in the secondary education subject of English as a Foreign Language”; 2021-2022: Adrià Jaén Cuenca: “Milers de Valències: decolonizing the teaching of English as a Foreign Language through the ethnolinguistic landscape of Valencia”; Carmina Tortosa Cerdá: “Virtual Reality in the English as a Foreign Language Classroom: Improving Students’ Speaking Fluency and Reducing their Anxiety”; Cristina Vargas Castro: “Multilingualism, Sustainable Development Goals and innovative project-based learning in the English class: fostering linguistic skills and social awareness in secondary education”; Patricia Pardo Pulido: “Staging theatre plays and analyzing literature to improve CSE students’ oral and reading skills in the EFL classroom”; 2020-2021: Carolina Elena Vicent Garcia: “Exploring the Sustainable Development Goals in the English classroom: self-perceptions of secondary education students when speaking English as a Foreign Language”; Silvia Rodilla Rivas: “Towards a Plurilingual Approach in the  English Language Classroom: Perceptions and Outcomes”; Ainhoa Rovira Garcia: “The PAEC Method on 4th of ESO: Blending Elements of the Communicative Approach and Task-Based Learning”; Alejandra Marín Pastor: “Raising SDG Awareness in the EFL Classroom: a Proposal for Students in the Official School of Languages”; Paula Puig Rubio: “Merging ICT and Corpus Linguistics: Corpus-Aided Discovery Learning as an Effective Approach to Teaching Phrasal Verbs”; 2019-2020: Cintia Álvarez Sojo: “Educational innovation project in the EFL classroom for the development of intercultural awareness: across the border”; Beata Katarzyna Groba: “Volunteering as a Tool to Improve Writing Skills”;, Irene Vallet Ruiz: “Innovating with Literary Texts and SDGs in the ESL Classroom through Dramatization”; Helena Vivancos Peñas: “Comic Strips as a Teaching Tool in the EFL Classroom: Increasing Motivation and Fostering Reading and Writing Skills”; Mar Mogort Martínez: “Fostering Motivation in the English Classroom Using Clipflair”. Master’s Final Theses and Practicum supervision (44236), Master’s in Advanced English Studies, UV, 2022-2023: Amina Benyettou: “A Comparative Analysis of Engagement Markers in Corporate Identity: Mission Statements in British, Spanish, and Algerian Business Websites”; 2020-2021: Irene Abarca López: “A Comparative Study of Verbal and Non-Verbal Expressions of Pain in Patients with Chronic and Non-Chronic Diseases in Doctor-Patient Conversations”.

Book Chapters   

Nicolaou, A.; Sevilla-Pavón, A. (2023). Exploring the impact of Virtual Exchange in Virtual English as a Lingua Franca (VELF): Views on self-efficacy and motivation. En: I. Pineda & R. Bosso (Eds.), VELF: Virtual English as a lingua franca (pp. 1 to 22). Routledge (Taylor & Francis). 270 páginas. DOI: https://doi.org/10.4324/9781003342922, eBook ISBN: 9781003342922.

Sevilla-Pavón, A.; Finardi, K. R. (2022). El aprendizaje de lenguas en la Universitat de València durante y tras el confinamiento: la perspectiva del alumnado. En: Adrián J. Acosta Jiménez; Corral Esteban, A. & García Hernández, Y. (Eds.): Enseñar lenguas extranjeras después de la COVID-19. Análisis y propuestas metodológicas (pp. 143-154). Peter Lang. ISBN: 978-3-631-81522-9. https://hdl.handle.net/10550/92368

Nicolaou, A.; Sevilla-Pavón, A. (2022). Engagement in the expression of learners’ identity within virtual exchange asynchronous discussions. En: L. Klimanova (Ed.), Identity, Multilingualism and CALL: Responding to New Global Realities (pp. 244-270). Equinox. ISBN-13 (Paperback): 9781800500792. ISBN (eBook): 9781800500808. ISBN: 9781800500792.  DOI: 10.1558/equinox.43416. CALICO Book Series: Advances in CALL Research and Practice.

Nicolaou, A.; Sevilla-Pavón, A. (2022). Developing intercultural communicative competence in ESP learning through telecollaboration: An ecological perspective. En: S. M. Hilliker (Ed.), Virtual Exchange as a way to support SLA: Studies on language learning through online interaction (pp. 117-144). Berlin, Boston: De Gruyter Mouton, ISBN:   

AWARDS AND RESEARCH STAYS

Enrique Alcaraz Research Award from the European Association of Languages for Specific Purposes (AELFE), awarded to the book Multilingual Writing and Pedagogical Cooperation in Virtual Learning Environments (Eds: Birthe Mousten, Sonia Vandepitte, Elisabet Arnó and Bruce Maylath, published by the IGI Global publishing house: chapter 8: “Examining L2 Learners’ Use of Engagement Strategies in Telecollaborative Written Interactions” (pp. 200-220), by: Ana Oskoz, Ana Gimeno-Sanz and Ana Sevilla-Pavón, June 20th, 2019.

Jaclyn Ng Shi Ing Best Research Article Award from the CALL Your Data – XIXth International CALL Research Conference: “Expanding a telecollaborative project through social entrepreneurship”, by Ana Sevilla-Pavón and Anna Nicolaou. KU Leuven’s campus, Bruges (Belgium), July 4th-6th, 2018.

Best Research Article Award from the International Workshop on Technological Innovation for Specialized Linguistic Domains: “Modalities of Assessment in Online Language Learning Materials” (Ana Sevilla-Pavón; Antonio Martínez Sáez; José Macario De Siqueira Rocha). Spanish National Distance University (UNED), Madrid, 2010.

Recent Research stays and Grants

20/06/2021 to 10/09/2021, Grant awarded by Generalitat Valenciana (Ref.: BEST/2021/122). Supervisor: Dr. Rick Kern, University of California at Berkeley (Berkeley, California, United States).

COMMUNITY SERVICE

Collaboration with the B-Coorporation Organic Boosting (April 2018 to present): Communication advisory tasks: training and advice on the design, development and execution of communication tools aligned with your business objectives, your capabilities and your strengths, among others. which include its website and videos, News Bulletin, blog, translation, post-editing, voice-over and audiovisual production tasks in relation to the dissemination of services and products, in various languages (Spanish, Valencian, English, French, Italian and Portuguese).

Board member of the following Final Degree’s Dissertations: UCAM, 2013-2014: Cristóbal Fernández Marín, María del Carmen Ferre Castelló, Yessica María Aznar Vilar; Carlos Barquero González; Ginés Carlos Hemández Morales; Juan Tudela Carrilo; Almudena Barba Pellicer; Natalia Ayala Manzanera; Marina Garda Martín; Belén del Valle Pedrero; Marina Díez Frutos; Lidia Donate Monreal; Cristina Durá Cámara; Purificación Egio Ros; Noelia Espín Ortega. President of the board of the following Master’s Theses: UV, 2018-2019: Ionut Georgian . Mercedes Juncos. Ferran Oltra. Violeta Sanchis. Natalia Sánchez. Marta Rico. Beatriz Collado. María José Escrich. Fernando Castellano. Lorena Simarro. Adrià Lapuente. María Seguí. Amalia Castillo. Board member of the following Master’s Theses: UV, 2018-2019: Eyal Handelsman Katz; Melís Urer Vega; Begoña Cercós Pérez;  Marta Rocher López; Ana Belén Conde Mena; Lara Domingo Aliaga; Lara Martínez; Marta Arenas; Celia Giner; Daniel Giménez; Marcos Gómez; Gemma Alfonso; Irina Dragomirova; Fina Mañó; Anna Tassa; Ana Crespo; Inés Tatay; Carla Ramírez; Antonio Romance; África Iglesias; Juan Carlos Sempere; Elena Marzo; Irene Moreno; Aina LLopis; Carmen Serrano; Belén Andrioti; Avelina Blay; Laura Vidal; and Marta Torres.

 

Publication

Raveendra Pilli | Image Processing | Best Researcher Award

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Mr. Raveendra Pilli | Image Processing | Best Researcher Award

He mentored B.Tech. projects focused on the early detection of Alzheimer’s Disease. One project involved utilizing multi-modality neuroimaging techniques, where MRI and PET images were collected from the OASIS database, preprocessed, and robust features were extracted for classification. MATLAB and the SPM-12 toolbox were used for this task. Another project focused on the early detection of Alzheimer’s Disease using deep learning networks, where an MRI dataset from the ADNI database was collected, preprocessed, and the performance was compared with baseline algorithms. For this project, he used MATLAB and Python.

NIT-Silchar, India

Profile

Education

A dedicated research scholar with a Ph.D. in Electronics and Communication Engineering from the National Institute of Technology Silchar (Thesis Submitted, CGPA 9.0), specializing in brain age prediction and early detection of neurological disorders using neuroimaging modalities. With extensive teaching experience, a strong passion for research, and a proven ability to develop engaging curricula, deliver effective lectures, and guide students toward academic success, I am committed to contributing to the field through research, publications, and presentations. My academic journey includes an M.Tech. from JNTU Kakinada (76.00%, 2011) and a B.Tech. from JNTU Hyderabad (65.00%, 2007), along with a strong foundational background in science, having completed 10+2 (MPC) with 89.00% in 2003 and SSC with 78.00% in 2001.

Work experience

He worked as a Junior Research Fellow at the National Institute of Technology, Silchar, Assam, from July 2021 to June 2023, where he assisted professors with course delivery for Basic Electronics, conducted laboratory sessions, graded assignments, and provided office hours for student support. From July 2023 to December 2024, he served as a Senior Research Fellow at the same institute, taking on additional responsibilities, including mentoring B.Tech. projects and assisting with Digital Signal Processing laboratory duties. Prior to his research roles, he was an Assistant Professor at SRK College of Engineering and Technology, Vijayawada, Andhra Pradesh, where he taught courses such as Networks Theory, Digital Signal Processing, RVSP, SS, and LICA. He utilized innovative teaching methods, including active learning techniques, to enhance student engagement and learning outcomes. He also mentored undergraduate research projects in image processing and received positive student evaluations for his teaching effectiveness.

Publication

Crhistiane Andressa da Silva | Chronobiology and Memory | Neurocognitive Breakthrough Award

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Dr. Crhistiane Andressa da Silva | Chronobiology and Memory | Neurocognitive Breakthrough Award

 

Estúdio Amanhecer, Brazil

Profile

Education

She earned her Doctorate in Psychology from the Universidade Federal do Rio Grande do Norte (UFRN), Natal, Brazil, in 2012, with a Sandwich Doctorate at the Universitat de Barcelona under the supervision of Antoni Díez-Noguera. Her doctoral research, titled SAGUIS (Callithrix jacchus) SOB CICLO CLARO-ESCURO DE 21 H: UM MODELO DE DESSINCRONIZAÇÃO FORÇADA EM PRIMATA DIURNO, was conducted under the guidance of John Fontenele Araujo, with Carolina Virgínia Macedo de Azevedo as a co-advisor. She received a scholarship from the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES), Brazil.

She completed her Master’s in Pharmacology at UFRN in 2007, with a thesis titled EFEITOS DE VOCALIZAÇÕES DE CO-ESPECÍFICOS E DO ESCURO SOBRE O RITMO CIRCADIANO DA ATIVIDADE MOTORA EM SAGÜIS (Callithrix jacchus), under the supervision of Carolina Virgínia Macêdo de Azevedo. Her research was supported by a CAPES scholarship.

She earned her Bachelor’s degree in Biological Sciences from UFRN in 2003, with a thesis titled Perfil Diário do Comportamento de Autocatação Durante Um Ciclo Ovariano em Díades de Saguis (Callithrix jacchus), under the supervision of Carolina Virgínia Macêdo de Azevedo. She received a scholarship from the Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq), Brazil.

Work experience

She worked as a Postdoctoral Researcher at the Universidade Federal da Paraíba (UFPB) from 2014 to 2017 under a full-time and exclusive contract. She then continued her postdoctoral research at the Universidade Federal de Pernambuco (UFPE) from 2017 to 2018 under the same work scheme.

In 2018, she served as a part-time Professor at Faculdade Escritor Osman da Costa Lins (FACOL), where she taught the course Práticas Integrativas Complementares em Saúde for the Physiotherapy program.

Since 2021, she has been the owner and full-time instructor at Estúdio Amanhecer, where she teaches yoga.

Areas of Expertise

She specializes in Public Health within the broader field of Health Sciences, as well as Physiology and General Biology within Biological Sciences. Her expertise also extends to Zoology, with a focus on Animal Behavior.

Scientific, Technological & Academic Production

She has contributed to bibliographic research and publications in her fields of study.

Citations

Her research has been cited in various academic databases:

  • Web of Science: 44 citations across 3 articles (as of June 2, 2024), with an H-index of 3.
  • Google Scholar: 26 citations across 9 articles (as of January 17, 2017).

The citation search included variations of her name: Silva, C.A.; da Silva, C.A.; CA da Silva; CA Silva; C da Silva, Crhistiane Andressa da Silva; Christiane Andressa da Silva; da Silva, Christiane Andressa; da Silva, Crhistiane Andressa

Awards & Recognitions

  • 2023 & 2024: TOP MASTER GOLD award by popular vote, recognized as a distinguished professional in her field in Rio Grande do Norte for her contributions to local development.
  • 2022: Named Best Yoga Teacher of 2022 in Natal and awarded Best of the Year in Natal.
  • 2017: Secured second place in the Banner category on the theme Chronobiology at the IX Symposium of Psychobiology.

Publication