People
PI
Prof. Dr. Christopher Künneth
Email or MS Teams: christopher.kuenneth@uni-bayreuth.de
Phone or WhatsApp: +49 921 55 7330
Building FAN.D.0.33
Pronouns: he/him
Are you looking for a bachelor, master, or PhD position? Ping Christopher Künneth!
Post-Doctoral Researchers
Dr. Mahshid Pournajar
Post-doctoral researcher
Pronouns: she/her
Office Address: FAN-D.0.34
Mahshid is a postdoctoral researcher with a background in experimental and computational materials science and a strong interest in data-driven technologies and artificial intelligence. Her work combines materials modeling and machine learning methods to support process optimization. Outside of her research, Mahshid enjoys traveling, hiking, and cooking.
linkedin | email | github.| scholar
PhD Candidates
Henri Berntgen
PhD candidate
Pronouns: he/him
Office Address: FAN-D.0.32
Henri is a PhD candidate with a background in biology who now works in materials informatics. His research interests include the toxicity of microplastics, which he investigates through interdisciplinary approaches that bridge environmental toxicology, materials science and data-driven methods. Outside academia he likes learning languages, enjoys reading and cooking, and stays active through various sports.
linkedin | email | github
Ibrahim Erdogan
PhD candidate
Pronouns: he/him
Office Address: FAN-D.0.36
Ibrahim is a PhD candidate with a background in Computer Engineering, specializing in deep learning and advanced computational architectures. His research focuses on leveraging these technologies to explore polymer design through the GenPi project, with the goal of creating environmentally beneficial and socially impactful materials. When he’s not immersed in research or coding, Ibrahim can usually be found on the basketball court or settling in for a Lord of the Rings marathon and refusing to move until the credits roll.
email
Kaushik Yerrapragada
External PhD candidate
Pronouns: he/him
Kaushik is a PhD candidate with a background in materials science. As part of the DiReSiC Project, his research focuses on data-driven methods for optimizing industrial processes and materials development. He is carrying out his research at Kyocera Fineceramics Europe GmbH in Selb, working on process optimization and predictive modeling for additive manufacturing of SiSiC. Outside of research, he enjoys staying active through sports and playing the guitar.
email | linkedin
Lukas Wölfel
PhD candidate
Pronouns: he/him
Office Address: FAN-D.0.32
Lukas is a PhD student with a passion for new challenges in technology and artificial intelligence research. In his "EVIDENZ" project, he will create a local platform with a Bayesian optimisation tool. The aim is to streamline processes such as materials development and production. Outside of his studies, Lukas was the first spokesperson for the engineering student council, and he enjoys cooking, biking, and hiking.
Manuel Bauer
Joint PhD candidate with Fraunhofer ISE & University of Freiburg (group of Prof.Krossing)
Pronouns: he/him
Manuel is a PhD candidate with a background in physical chemistry and battery science. He aims at utilizing cheminformatics, density functional theory and AI to explore next-generation electrolyte materials for Lithium-ion batteries (LIBs), as well as Sodium-ion batteries (SIB). Manuel is conducting his research at the Fraunhofer Institute for Solar Energy Systems ISE in Freiburg. In his leisure time Manuel enjoys various outdoor sports, chasing vertical meters.
Punith Raviswamy
PhD candidate
Pronouns: he/him
Office Address: FAN-D.0.36
Punith is a PhD candidate and mainly focuses on Material Science. He has keen interest in Machine Learning and Data Science. He passionately explore the interdisciplinary fusion of Machine Learning and Material Science, working to bridge the gap between these dynamic fields. Aside academics, he loves traveling and exploring new places, and also enjoys watching thriller/mysterious TV series.
Rayan Hamid Mohiuddin
PhD candidate
Pronouns: he/him
Office Address: FAN-D.0.36
Rayan is a PhD candidate with a background in computer science and applied machine learning, working with data-driven modeling in material informatics. In the DiReSiC project, his research focuses on building data ontologies and machine learning models to support additive manufacturing of advanced ceramic materials with the goal of linking process parameters to material quality and performance. Outside of academia, Rayan enjoys cooking, gaming, and traveling.
email | linkedin | github
Subhash Ganti
PhD candidate
Pronouns: he/him
Office Address: FAN-D.0.32
Subhash is a PhD candidate with a material science background working in material informatics which tends to be the intersection of materials science and cutting-edge data-driven approaches. His passion also lies in exploring new trends in machine learning and applying them. Apart from academics, he likes reading books, listening to music, hiking and watching movies.
Master and Bachelor Students
Aadim Nyaichyai
Student researcher | Master student
Proununs: he/him
Aadim is a Master’s student studying Biofabrication with a background in Chemical Engineering. He is involved in the teaching of the course ‘Python and Data Tools for Non-Programmers’. In his free time, he likes to read books and travel.
email
Agrim Jain
Student researcher | Bachelor student
Proununs: he/him
Agrim is a Bachelor's student in Chemical Engineering at IIT Delhi. During his internship, he is working on the data-driven design of sustainable polymers. His academic interests include computational modelling, machine learning, and materials design. Outside academics, he enjoys watching Formula 1 and cricket, playing badminton, and travelling to new places.
email
Arla Diengdoh
Student researcher | Master student
Pronouns: she/her
Arla is a master’s student in Scientific Computing with a background in mathematics. Her academic work centers on numerical methods, nonlinear optimization, and simulation‑driven modeling. She is particularly interested in applying these approaches to interdisciplinary problems at the intersection of modeling, data, and applications. Beyond her academic pursuits, she enjoys painting, singing, and exploring various forms of art.
email
Jerin Thomas
Master student
Pronouns: He/him
Jerin is a Biofabrication Master’s student interested in applying Machine Learning and Deep Learning in the Biomedical field. Presently, he is doing an Advanced module on the topic of Anterior Cruciate Ligament injury classification using Machine Learning. Besides university, he enjoys playing football, listening to music, and travelling.
linkedin | email
Krishna Mohan
Master student
Pronouns: He/him
Krishna is a master's student specializing in battery materials, with a strong interest in the intersection of machine learning and electrochemical energy storage. His academic focus includes the application of data-driven methods to optimize battery components such as electrolytes and separators, aiming to enhance performance, safety, and lifecycle. Krishna is particularly intrigued by how computational tools can accelerate materials discovery in the field of next-generation batteries. Outside academics, he enjoys playing cricket and going for runs to stay active.
linkedin | email
Mehrshad Nouranivatani
Advanced module | Master student
Proununs: he/him
Mehrshad is a Biofabrication Master’s student fascinated by the Machine Learning and Deep Learning approaches and interested using them in the Biomedical field. Presently, he is doing an Advanced module on the topic of Predicting effect(s) of aged Microplastics on fertility of Daphnia magna . Besides university, he enjoys playing videogames, watching movies, and crocheting.
email | Linkedin
Naga Venkateswarlu Gadamsetty
Student researcher | Master student
Proununs: he/him
Venkat is a Master's student in Computer Science with 18 months of industry experience in software development. He is passionate about using technology to solve real-world problems and has a strong interest in automation, data-driven decision-making, and financial markets. He is currently building a Stock Automation Platform that automates investment research by pulling and analyzing market data, screening equities, and aggregating fundamentals, aiming to turn manual analysis into a faster, repeatable process. The work draws on his industry experience in backend development, public market APIs, and statistical/ML methods, treating it as a pilot for applying software engineering to practical problems in financial analysis. Outside his studies, he enjoys playing badminton and table tennis.
Niklas Weiske
Student researcher | Bachelor student
Pronouns: he/him
Niklas is a bachelor student in chemistry with great interest in natural sciences and related topics such as electrical and materials engineering. His chemical background and passion for coding allow him to work in the interdisciplinary field of materials informatics. Niklas also works at the Fraunhofer Institute HTL where he focuses on ceramics. Besides university, Niklas enjoys bowling and engages in various other sporting activities. He also likes to spend time with friends, cooking and watching Sci-fi movies.
Ranganath Pujari
Master student
Proununs: he/him
Rangan is a Computer Science Master's student with over six years of industry experience building and optimizing fast-paced products. Seeking to bridge the gap between computer science and materials science, he treats his thesis as a pilot project that uses data-driven computational tools to solve practical challenges in ceramics. Outside academia, he is an avid sports fan who watches F1, football, cricket, and MMA, while staying active with badminton, running, and hiking. He also enjoys capturing landscapes with his drone and hanging out with animals, specifically cats.
Sai Kiran Prabhala
Advanced module | Master student
Proununs: he/him
Sai is a master’s student in Battery Materials and Technology at the University of Bayreuth, interested in how AI and machine learning can advance battery technologies and chemistries. His work focuses on data‑driven models of electrodes, electrolytes, and separators to study degradation, solid–electrolyte interphases, and to improve performance, safety, and lifetime of next‑generation batteries. His hobbies are cooking and writing poetry.
email | Linkedin
Alumni
Ibrahim Karademir
Bachelor thesis
Pronouns: he/him
Ibrahim is a computer science bachelor's student with a strong passion for data science. He has a strong interest in the practical application of machine learning and data analytics in polymer research. In addition to his academic pursuits, he has gained valuable professional experience at Cybex, where he has been actively involved in analyzing the impact behavior of polymer foams. Outside of his academic endeavors, he enjoys participating in analyzing stock market data, various sports activities, staying active, and maintaining a healthy lifestyle.
Janina Rebhan
Advanced module | Master student
Pronouns: she/her
Janina is a master's student in materials science, specializing in property prediction of polymers using machine learning. She applies AI to generate optimized polymers for drug delivery. In her free time, she enjoys playing soccer, traveling around the world by bike, and learning new sports such as paragliding.
Katharina Peipp
Aritifcial intelligence teaching assistant | Bachelor student
Pronouns: she/her
Katharina is a materials science master student. She helps integrating AI in materials science lectures and students to apply AI in the field, fostering a generation of AI-savvy materials scientists. In addition to her studies, she is an active member of the student council and plays in a theater group.
Klinger Konstantin
Master student
Pronouns: he/him
Konstantin is a computer science master’s student and is particularly interested in the research and development of AI systems using machine learning. For his master's thesis, he is currently building a language user interface that assists material scientists in optimizing their experiment planning with the help of Bayesian Optimization. The knowledge he gained from his previous job as a research assistant at the chair for polymer engineering proves valuable to his current work. In his freetime cycling, reading, gaming and learning languages provide a balance to his academic life.
Naga Sai Teja Kolakaleti
Student researcher | Master student
Pronouns: he/him
Naga Sai Teja is a computer science master's student focusing on Data Science, ML and Deep Learning (NLP, Computer Vision, Reinforcement Learning and Knowledge Graphs). He is passionate about exploring ML and AI-related concepts and enhancing the technical knowledge gained from his studies. He is also eager to learn new technologies and apply them to real-world problems. Outside his studies, he likes to play chess and chill with his friends.
Nikita Agrawal
Master student
Pronouns: she/her
Nikita is a computer science master's student with keen interests in applying machine learning to engineering and natural sciences. Presently, she is developing deep learning models that transfer domain knowledge from molecules to polymers. When she is not working, she enjoys watching anime and traveling to discover good food.
linkedIn | email
Philipp Lauer
Master student
Pronouns: he/him
Philipp Lauer is a Materials Science Masters student. He is exploring the application of machine learning within engineering. His Advanced Module work centers on predicting the mechanical properties of alloys. Outside of his studies, Philipp is involved in the student council, tries to learn French, and finds enjoyment in the sport of gliding.
Sunil Kumar Panda
Advanced module | Master student
Proununs: he/him
Sunil is a Biofabrication Master's student particularly interested in application of machine learning and Python based simulation in the research of Medical robotics system. For his Advance Module, currently he is working on developing an user interface for toxicity prediction of polymers using machine learning and the Tox 21 datasets.Apart from his academia, he works in Brainlab AG as a working student where he works in Surgical Robotics and Instruments R&D team and he enjoys traveling, hiking, and playing volleyball and table tennis.