Monika Nagy-Huber | Machine Learning | Best Researcher Award

Mrs. Monika Nagy-Huber | Machine Learning | Best Researcher Award

Ms. Universität Basel, Switzerland

Monika Timea Nagy-Huber is currently pursuing a PhD in Computer Science at the University of Basel, specializing in Physics-informed Machine Learning Algorithms under the supervision of Prof. Dr. Volker Roth in the Biomedical Data Analysis research group. She earned her Master of Science in Mathematics from the same university, focusing on Numerics (Partial Differential Equations for Wave Equations) and Algebra-Geometry-Number Theory (Elliptic Curves). Her master’s thesis, titled “The Local Discontinuous Galerkin Method with Local Time Stepping Method for solving the Wave Equation,” received a grade of 5.5. Monika also holds a Bachelor of Science in Mathematics from the University of Basel, completed in 2016.

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Personal Data 🌐

Last Name: Nagy-Huber
First Name: Monika Timea
E-Mail: monika.nagy@unibas.ch
Nationality: Swiss

University Education 🎓

PhD in Computer Science, University of Basel
09/2019 – Present

Supervisor: Prof. Dr. Volker Roth

Research Group: Biomedical Data Analysis

Specialization: Physics-informed Machine Learning Algorithms

Master of Science in Mathematics, University of Basel
02/2016 – 02/2019

Areas of Specialization: Numerics (Partial Differential Equations for Wave Equations), Algebra-Geometry-Number Theory (Elliptic Curves)

Master’s Thesis: “The Local Discontinuous Galerkin Method with Local Time Stepping Method for solving the Wave Equation”

Grade: 5.5

Supervisor: Prof. Dr. Marcus J. Grote

Bachelor of Science in Mathematics, University of Basel
09/2011 – 02/2016

Publications:

The effect of lysergic acid diethylamide (LSD) on whole-brain functional and effective connectivity

CITED BY 17

Learning invariances with generalised input-convex neural networks

CITED BY 5

Mesh-free Eulerian Physics-Informed Neural Networks

CITED BY 1

Mesh-free Eulerian physics-informed neural networks

CITED BY 1

V. Aravinda Rajan – Machine Learning – Best Researcher Award

V. Aravinda Rajan - Machine Learning - Best Researcher Award

Kalasalingam Academy of Research and Education - India

Professional Profiles

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Early Academic Pursuits

Mr. V. Aravinda Rajan's academic journey commenced with a Bachelor's degree in Electronics & Communication Engineering from Oxford Engineering College, affiliated with Anna University, Chennai, in 2008. Building upon this foundation, he pursued a Master's degree in Communication Systems from Anand Institute of Higher Technology, also affiliated with Anna University, Chennai, in 2010. His thirst for knowledge led him to embark on a part-time Ph.D. program in Information and Communication at Anna University, Chennai, where he is currently pursuing advanced research.

Professional Endeavors

Mr. Aravinda Rajan's professional journey spans several academic institutions, where he has made significant contributions to the field of Computer Science and Engineering. He commenced his career as a Lecturer at Apollo Engineering College, Chennai, in July 2010, before transitioning to K.L.N College of Engineering, Madurai, where he served as an Assistant Professor from December 2010 to May 2023. Currently, he holds the position of Assistant Professor at Kalasalingam Academy of Research and Education, Krishnankovil, since June 2023.

Contributions and Research Focus

Mr. Aravinda Rajan's expertise lies in the realm of Information and Communication, with a focus on advancing communication systems. His ongoing Ph.D. research at Anna University, Chennai, underscores his commitment to exploring innovative solutions in this domain. Throughout his tenure as an academician, he has been actively involved in imparting knowledge and fostering intellectual curiosity among his students. His dedication to research and teaching has contributed to the development of aspiring engineers in the field of Computer Science and Engineering.

Accolades and Recognition

Mr. Aravinda Rajan's contributions to academia have been recognized through various accolades and achievements. His commitment to excellence in teaching and research has earned him respect and admiration from his peers and students alike. Additionally, his scholarly endeavors have been acknowledged by academic institutions and professional bodies, further cementing his reputation as a proficient educator and researcher in the field of Information and Communication.

Impact and Influence

Mr. Aravinda Rajan's influence extends beyond the confines of the classroom, as he plays a pivotal role in shaping the future of Computer Science and Engineering. Through his mentorship and guidance, he instills a passion for learning and innovation in his students, empowering them to become future leaders in the field. His research endeavors have the potential to drive technological advancements and address real-world challenges, thereby leaving a lasting impact on society.

Legacy and Future Contributions

As Mr. Aravinda Rajan continues his academic journey, his legacy is poised to endure through the impact of his research, teaching, and mentorship. His dedication to advancing the frontiers of Information and Communication technology sets a precedent for future generations of engineers and researchers. With a vision to harness the power of technology for societal good, he envisions contributing significantly to the advancement of Computer Science and Engineering, leaving an indelible mark on the academic landscape.

Notable Publications

Secure IoT systems using raspberry Pi machine learning artificial intelligence  2020