Dr. Ankush Ghosh is a Global R&D Manager at DataFaktory AG, Switzerland Innovation Park, Biel/Bienne, Switzerland, and an Adjunct Professor at Chandigarh University, Punjab, India. A Fellow of IETE and Senior Member of IEEE (USA), he has over 20 years of experience across academia, research, administration, and industry. He completed his M.Tech in VLSI and Microelectronics and Ph.D. in Engineering from Jadavpur University, India, in 2010, and has also served as a Research Fellow at the Advanced Technology Cell (DRDO), Government of India, where he was awarded a National Scholarship by the Ministry of HRD. He has published over 200 research papers (146 indexed in Scopus), holds more than 20 national and international patents, 5 copyrights, and has authored over 30 books with Springer and Elsevier. Dr. Ghosh serves on editorial boards of several international journals, including as Chief Editor, and has delivered numerous keynote and invited lectures worldwide. He is actively involved in organizing IEEE and Springer conferences and mentors startups and students through initiatives such as Startup India, IIT Bombay, BITS Pilani Hyderabad, and MIT ADT University. In recognition of his contributions, he received the “Innovate India” Award from AICTE-DST, Government of India, in 2019 and 2020.
Liantao Nie is a deputy chief physician and master's graduate in electrocardiology, mentored by Prof. Zhongjian Li. He serves as Chairman of the Syncope Prevention and Rehabilitation Committee of Henan ECG Diagnosis Center, and Standing Committee Member and Secretary‑General. He has delivered over 20 academic presentations at national and international conferences, including six abroad (Mexico, UK, Thailand, Japan, France, Malaysia). He has authored 20 papers, 10 books, 3 patents, and contributed to national expert consensus and group standards. His honors include first‑prize awards in national ECG case competitions and municipal skills contests
Speech Title
ECG‑Based Staging of Hypertensive Cardiac Remodeling Across the Full Disease Spectrum