Future Integrated Mobility
In this exclusive overview, we will explore the perspectives of researchers from material science, AI, traffic flow modeling, and the development of intelligent instruments and applications for mobility who participated in the workshop on ‘Integrated Engineering for Future Mobility’ organised by the DWIH New Delhi from 20 – 24 March 2023 in New Delhi. In these short interviews, we broadly cover insights and experiences on the topic, including their research areas, ways of collaboration between India and Germany, and their motivations for attending the workshop.
Dr. Sayan Ranu, Associate Professor at Indian Institute of Technology, Delhi
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Dr. Ranu holds the joint position of Nick McKeown Chair Associate Professor at CSE and ScAI, IIT Delhi. In 2020, Dr. Ranu was inducted as an Associate of the Indian Academy of Sciences. He regularly publishes in premier AI venues including NeurIPS, AAAI, and IJCAI. He received the Best Paper Award at the International Conference on Web Information Systems Engineering 2016, the Best-of-IEEE-ICDM-2016 selection, and the Most Reproducible Paper Award at SIGMOD 2018. He has been granted 5 US patents.
Dr. Bartłomiej (Bartek) Sawicki, Post-doctoral Researcher at TU Braunschweig
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Dr. Sawicki is a structural engineer at Technical University Braunschweig. After 2 years of practice in bridge design and maintenance, he started research on new cement-based materials (UHPFRC) and structural monitoring methods for service extension of bridges (Ph.D. at EPFL, CH, 2021). He later joined a start-up (Mobbot, CH) working on sprayed 3D concrete printing of structural elements. Since September 2022, he is working at TU Braunschweig on a new research setup for disruption of construction and bringing digitalization from the lab to reality.
Dr. Bhausaheb Botre, Principal Scientist and Associate Professor at CSIR-CEERI
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Dr. Botre is the Principal Scientist and Associate Professor (AcSIR) at CSIR-CEERI, Pilani. He is involved in the design and development of Intelligent Instrumentation and Control Systems for Applications in Low Power Electric Vehicles, Assistive Technology, and Robotic Industries. He has 14 years of multidisciplinary R&D experience. He has published about 50 research papers and is a National Awardee. He is associated with professional societies like Senior Member of IEEE, FIETE, and ISOI.
Mr. Ankit Chaudhury, Reinforcement Learning Researcher at TU Dresden
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Mr. Chaudhari is currently working as a Research Associate in deep reinforcement learning for traffic flow modelling at TU Dresden. He completed master’s from the Indian Institute of Technology Madras (IIT-Madras) in Transportation Engineering, awarded with “K Devrajan Memorial Prize” for student with best academic record, while doing his Master’s he was awarded a scholarship from the DAAD (German Academic Exchange Service) to get research exposure and completion of his master’s thesis at TU Dresden. He has worked as a Product Specialist in one of India’s leading banks.
