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Dr. Bijju Kranthi Veduruparthi
Dr. Bijju Kranthi Veduruparthi
Dr. Bijju Kranthi Veduruparthi received his M.Tech and PhD degrees from IIT Kharagpur. He worked as a post doc with Prof. C V Jawahar and Prof. Vineeth Balasubramanian on Explainable AI for medical imaging tasks at IIITH. During his PhD, he worked on lung cancer and colorectal cancer radiomics with Prof. Jayanta Mukhopadhyay and Tata Medical Center, Kolkata. Earlier, he had worked with IBM on telecommunications and with Nvidia Graphics on graphics architecture performance validation. His current interests are in image processing, computer vision, pattern recognition and machine learning. Presently, he is leading the computer vision group at Invento Labs.
Dr. Geetartha Dutta
Dr. Geetartha Dutta
Dr. Geetartha Dutta is currently working as an Assistant Professor in the Department of Applied Geology, Dibrugarh University. He has sound technical cum scientific caliber in geophysical sciences and completed his PhD from the Stanford University, USA. Prior to this, he has completed his Master’s Degree (Integrated) from the Indian School of Mines, Dhanbad. Besides, he has extensive teaching cum research experience in application of Data Mining and Machine Learning techniques in Geosciences. Presently, he is teaching Geoscientific Data Analysis as well as Numerical Analysis and Computer Programming as a part of M. Sc. Tech (Applied Geophysics) curriculum in the Department of Applied Geology, Dibrugarh University.
Dr. Nandakishor Desai
Dr. Nandakishor Desai
Dr. Nandakishor Desai completed his PhD and is continuing as a Postdoctoral research fellow at the University of Melbourne. His research focuses on biomedical image analytics involving the development of novel artificial intelligence solutions and decision support systems for diagnostic assistance. He has also worked on a range of data analytics projects exploring the application of machine learning and related technologies to different fields and applications. He is serving as a Young Professional Liaison at IEEE UniMelb, and recently won Outstanding Young Professional Volunteer Award in Victorian Section.
Ms. Noor E Karishma Shaik
Ms. Noor E Karishma Shaik
Noor E Karishma Shaik is a final year PhD student currently exploring multispectral thermal pixel technology at the University of Melbourne. Prior to this, she has pursued her masters in hardware design for space-based imaging at Indian Institute of Technology Kharagpur. In a happy fusion of work and volunteering, she like pushing knowledge boundaries and serving the global community. She is associated with IEEE since 2014 as a member, volunteer, and scientific contributor. She is an active volunteer, and currently serving as Student Activities Coordinator at IEEE Victorian Section. Her recent awards in IEEE for 2020 include Richard E Merwin Scholarship and Outstanding Student Volunteer at Victorian section.
Dr. Pavan Harika Raavi
Dr. Pavan Harika Raavi
Dr. Pavan Harika Raavi has recently completed her PhD From the School of Earth Sciences, University of Melbourne and has worked on application of numerical climate model simulations and novel data mining and machine learning methods in weather and climate fields with specialization in extreme weather events forecast. Prior to this, she has completed M. Tech in Earth System Science at IIT Kharagpur and her BE in Naval Architecture and Marine Engineering from Andhra University.
Mr. Sadegh Motallebi
Mr. Sadegh Motallebi
Mr. Sadegh Motallebi is a PhD candidate (close to finishing) in computer science in the School of Computing and Information System at the University of Melbourne, and recently joined ANZ as a Data Scientist. He received his master’s degree and bachelor’s degree in computer engineering at Sharif University of Technology and the University of Tehran, respectively. His PhD research is in the area of Spatial Data Management, with specific applications in traffic management systems and route optimization. He is experienced in analyzing complex networks which involves model selection, graph analysis, data mining, feature engineering and feature selection.
Dr. Shashaank A. Mattur
Dr. Shashaank A. Mattur
Dr. Shashaank A. Mattur pursued his Doctoral and MS degrees from Indian Institute of Technology Kharagpur. Prior to that, he completed his BE in Electronics and Communication Engineering from Visveswaraya Technological University. He was a postdoctoral fellow in University of Poitiers, France for a short term. He is currently working in Philips as a senior research engineer. His research interests mainly include signal/image processing, computer vision, pattern recognition, and applied machine learning.
Mr. Sina Mansour
Mr. Sina Mansour
Mr. Sina Mansour is currently a Ph.D. Candidate at the Department of Biomedical Engineering at the University of Melbourne. He completed his undergraduate studies at the Sharif University of Technology where he received a double B.Sc. degree in computer sciences and electrical engineering. His Ph.D. research focuses on the human brain connectivity network and implementing computational neuroimaging techniques to better differentiate individuals and explain behaviors. He is also serving as the Vice-chair at IEEE UniMelb Student Branch. Apart from conventional tutoring at UniMelb, he has also tutored on Python basics in Unlock Xtreme 14.0 series while serving as the Victorian ambassador for IEEE Xtreme 14.0 in 2020. He has also tutored on Git, Github, and best python coding practices at the OHBM Brainhack 2020 as a Traintrack tutor. He is a programmer at heart who enjoys teaching and loves to explore the interdisciplinary applications of network science.
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