AntĆ³n Barba-Kay | AI Ethics | Best Researcher Award

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Dr. AntĆ³n Barba-Kay | AI Ethics | Best Researcher Award

Dr at Institute for Practical Ethics, United States

AntĆ³n Barba-Kay is an esteemed philosopher specializing in German Idealism, digital technology, and media studies. He is a Distinguished Fellow at Georgetown Universityā€™s Center on Privacy and Technology and a Senior Fellow at UC San Diegoā€™s Institute for Practical Ethics. Previously, he held the Robert B. Aird Chair of Humanities at Deep Springs College and was an Associate Professor at The Catholic University of America. AntĆ³n earned his Ph.D. from the University of Chicago, exploring Hegel’s Phenomenology of Spirit, and holds degrees from Cambridge and St. Johnā€™s College. His work integrates classical philosophy with contemporary challenges.

Profile

Scopus

Scholar

šŸŽ“ Education

Ph.D. in Social Thought, University of Chicago (2013), dissertation on Hegelā€™s logic of recognition. M.A. in Social Thought, University of Chicago (2009). B.A. (First Class Honors) in Classics, University of Cambridge (2006). M.A. (Cantab.), University of Cambridge (2012). B.A. in Philosophy, St. Johnā€™s College, Annapolis (2004). Specialized in German Idealism, political thought, and classical philosophy.

šŸ§‘ā€šŸ« Experience

Distinguished Fellow, Georgetown University, Center on Privacy and Technology (2024ā€“). Senior Fellow, UC San Diego, Institute for Practical Ethics (2024ā€“). Robert B. Aird Chair, Deep Springs College (2022ā€“24). Associate Professor, The Catholic University of America (2019ā€“22). Visiting Fellow, Princeton University, Department of Politics (2017ā€“18). Courses taught span Hegel, Kierkegaard, and classical philosophy.

šŸ† Awards and Honors

Visiting Fellow, Princeton University (2017ā€“18). Dolores Zohrab Liebmann Fellowship (2011ā€“13). Western Civilization Fellowship, ISI (2011). Cambridge Classics Faculty Prize for Best Senior Thesis (2006). Members’ Greek and Latin Reading Prizes, Cambridge (2006). Honorable Mention, St. Johnā€™s College Best Senior Thesis (2004).

šŸ”¬ Research Focus

Specialization: German Idealism, 19th-century philosophy, digital technology and culture. Competence: Ancient Greek philosophy, political thought, existentialism, and aesthetics. Interests include Hegelā€™s Phenomenology, media studies, and integrating classical ideals into modern ethics.

ConclusionĀ 

AntĆ³n Barba-Kayā€™s distinguished career, innovative contributions, and extensive scholarly output make him an outstanding candidate for the Best Researcher Award. With slight enhancements in interdisciplinary and public engagement, he could further amplify his already significant impact, underscoring his potential to shape contemporary philosophical and technological discourse.

šŸ“šPublicationsĀ 

  1. What Is Novel in Hegel’s Phenomenology of Spirit
    Hegel Bulletin, 2021, 42(2), pp. 277ā€“300
    Citations: 0

 

  1. Fichte’s Certainty in the Spirit by the Letter
    Dialogue-Canadian Philosophical Review, 2020, 59(4), pp. 651ā€“676
    Citations: 0

 

  1. Hegelā€™s Dialectical Art
    Argumenta, 2019, (8), pp. 97ā€“116
    Citations: 0

Reviews

  1. Hegel on Sleep and Walking
    Hegel-Jahrbuch, 2018, 11(1), pp. 290ā€“294
    Citations: 1

 

  1. The Aesthetics of Agency in Kant and Schiller
    Idealistic Studies, 2016, 46(3), pp. 259ā€“275
    Citations: 0

 

  1. Why Recognition is a Struggle: Love and Strife in Hegel’s Early Jena Writings
    Journal of the History of Philosophy, 2016, 54(2), pp. 307ā€“332
    Citations: 3

 

Book Chapters

  1. Parts and Souls
    In Hegel and Ancient Philosophy: A Re-Examination, 2018, pp. 132ā€“146
    Citations: 0

Nastaran Mehrabi Hashjin | Artificial intelligence | Best Researcher Award

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Mr. Nastaran Mehrabi Hashjin | Artificial intelligence | Best Researcher Award

Mr at Shahid beheshti university Iran

Nastaran Mehrabi Hashjin is a researcher and engineer with a background in control and electronic engineering. She specializes in AI, medical imaging, and brain-computer interfaces. With a focus on diagnosing Alzheimer’s disease and optimizing AI algorithms, she has published multiple articles in top-tier journals. Nastaran has also contributed to UAV monitoring and fault detection in power systems. A member of Iranā€™s National Elite Foundation, she actively engages in research on neural networks, optimization algorithms, and advanced medical data processing. She is proficient in programming, circuit design, and VLSI systems, showcasing her technical acumen.

Profile

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šŸŽ“ Education

Ph.D. Candidate, Control Engineering (2023-2024) Shahid Beheshti University, Tehran, Iran | Elite Foundation Member. M.Sc. in Control Engineering (2021-2024) Shahid Beheshti University, Tehran, Iran | GPA: 3.54/4.0 | Alzheimerā€™s diagnosis using neural networks. B.Sc. in Electronic Engineering (2016-2020) Shomal University, Amol, Iran | GPA: 3.52/4.0 | PIR sensor system design

šŸ’¼ Experience

Graduate: System Identification, Non-linear Control, Modern Systems. Undergraduate: Electromagnetism, Electrical Machines, Labs Engineer, Tarashe Pardazane Jahan. Designed electronic circuits for smart doors. Intern, Mazandaran Electric Company. Energy distribution monitoring and operational map updates.

šŸ† Awards and Honors

Member, Iranā€™s National Elite Foundation. Ph.D. admission via Elite Foundation. Certifications in neuroscience and medical imaging (TUMS). Advanced neuroscience and AI courses (Shahid Beheshti University)

šŸ”¬ Research Focus

AI-driven fault detection in power plants. Brain-computer interfaces and Alzheimer’s diagnostics. Optimization algorithms: Type-3 fuzzy logic, HO algorithm. Medical imaging: FSL, CONN, Freesurfer

šŸŒŸ Conclusion

Nastaran Mehrabi Hashjin is an exemplary candidate for the Best Researcher Award due to their innovative contributions to AI-driven fault diagnosis, optimization, and medical imaging. Their rigorous academic record, diverse expertise, and impactful publications make them a strong contender. Addressing minor gaps in global collaboration and community engagement will further enhance their standing as a leader in their field.

Publications šŸ“š

Hyung-Pil Chang | Deep Learning | Best Researcher Award

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Mr. Hyung-Pil Chang | Deep Learning | Best Researcher Award

Mr at Korea University,Ā  South Korea

Hyung-pil Chang is a dedicated graduate student at Korea University, pursuing a Ph.D. in Computer Science and Engineering. With a keen interest in deep learning and speech processing, he focuses on enhancing communication between humans and machines. He has contributed to several innovative projects in voice conversion and speech recognition, demonstrating a commitment to advancing technology in these fields. In addition to his academic pursuits, Chang actively engages in various sports and cultural activities, reflecting a well-rounded personality. His passion for research is complemented by his desire to develop practical solutions for real-world problems in artificial intelligence.

Profile

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Education šŸŽ“

Hyung-pil Chang began his academic journey at Hansung University, where he earned a Bachelor of Science in Information System and Engineering from March 2014 to February 2020. He continued his studies at Korea University, obtaining a Master of Science in Computer Science and Engineering from 2020 to 2022. Currently, he is pursuing his Doctor of Philosophy in the same field at Korea University, enhancing his knowledge and expertise in deep learning, speech recognition, and human-computer interaction.

Experience šŸ’¼

Chang has gained valuable experience as a research assistant at Korea University’s Artificial Intelligence Laboratory since March 2020, working under the guidance of Prof. Dongsuk Yook. He has also served as a teaching assistant for undergraduate courses in Artificial Intelligence and Machine Learning, honing his teaching skills and sharing his knowledge with students. Additionally, he briefly worked in the Voice Generation Team at KT on a multi-modal project, where he contributed to advancements in voice conversion technologies, further solidifying his practical experience in the field.

Awards and Honors šŸ†

Hyung-pil Chang has received recognition for his academic and research achievements, including publications in reputable journals such as MDPI Applied Sciences and IEEE Access. His contributions to voice conversion and speaker anonymization research have garnered attention in the field of speech processing. While specific awards are not listed, his active participation in conferences and collaboration on innovative projects highlight his commitment to excellence in research and development, positioning him as an emerging talent in artificial intelligence and deep learning.

Research Focus šŸ”¬

Changā€™s research centers on enhancing communication between people and machines, particularly in speech processing. He aims to improve speech recognition models using self-training techniques on large amounts of unlabeled data. His work also explores explainable AI and the development of a general-purpose domain agent capable of interacting with humans across various tasks, including vision and natural language processing. Key areas of focus include speech recognition, synthesis, voice conversion, and human-computer interaction, contributing to advancements in multi-modal language models.

šŸ“ Conclusion

Hyung-pil Chang demonstrates strong potential as a leading researcher in deep learning and speech processing. His academic background, research contributions, and innovative spirit position him well for the Best Researcher Award. By focusing on collaboration, expanding his publication record, and engaging more with the broader community, he can enhance his impact even further. Given his current trajectory, he is well on his way to making significant contributions to his field and is a worthy candidate for recognition.

Publications Top Notes

  • Wav2wav: Wave-to-Wave Voice Conversion
    C Jeong, H Chang, IC Yoo, D Yook
    Applied Sciences, 2024, 14(10), 4251.

 

  • Zero-Shot Unseen Speaker Anonymization via Voice Conversion
    HP Chang, IC Yoo, C Jeong, D Yook
    IEEE Access, 2022, 10, 130190-130199.

 

  • CycleDiffusion: Voice Conversion Using Cycle-Consistent Diffusion Models
    D Yook, G Han, HP Chang, IC Yoo
    Applied Sciences, 2024, 14(20), 9595.