Speaker: Dr. Vipin Chaudhary, SUNY Empire Innovation Professor, State University of New York (SUNY) at Buffalo, USA

Title of Talk: Medical Image Diagnostics: A case study of spine pathology

Biography: A veteran of High Performance Computing (HPC), Dr. Chaudhary has been actively participating in the science, business, government, and technology innovation frontiers of HPC for over two decades. His contributions range from heading research laboratories and holding executive management positions, to starting new technology ventures. He is currently a Program Director in the Office of Advance Cyberinfrastructure at National Science Foundation. He co-leads the National Strategic Computing Initiative from NSF for the United States and is in the working group of the Quantum Leap Initiative and the I-Corps Program. He is also in the working group of the Interagency Modeling and Analysis Group. He is the Empire Innovation Professor of Computer Science and Engineering at the Center for Computational Research at the New York State Center of Excellence in Bioinformatics and Life Sciences at SUNY Buffalo, and the Director of the university’s Data Intensive Computing Initiative. He is also the co-founder of the Center for Computational and Data-Enabled Science and Engineering.

He cofounded Scalable Informatics, a leading provider of pragmatic, high performance software-defined storage and compute solutions to a wide range of markets, from financial and scientific computing to research and big data analytics. From 2010 to 2013, Dr. Chaudhary was the Chief Executive Officer of Computational Research Laboratories (CRL) where he grew the company globally to be an HPC cloud and solutions leader before selling it to Tata Consulting Services. Prior to this, as Senior Director of Advanced Development at Cradle Technologies, Inc., he was responsible for advanced programming tools for multi-processor chips. He was also the Chief Architect at Corio Inc., which had a successful IPO in June, 2000.

Dr. Chaudhary’s research interests are in High Performance Computing and Applications to Science, Engineering, Biology, and Medicine; Big Data; Computer Assisted Diagnosis and Interventions; Medical Image Processing; Computer Architecture and Embedded Systems; and Spectrum Management. Dr. Chaudhary was awarded the prestigious President of India Gold Medal in 1986 for securing the first rank amongst graduating students at the Indian Institute of Technology (IIT). He received the B.Tech. (Hons.) degree in Computer Science and Engineering from the Indian Institute of Technology, Kharagpur, in 1986 and a Ph.D. degree from The University of Texas at Austin in 1992.

Talk description: With growing digital medical data and meteoric success of machine learning it is now feasible to aid the medical practitioner in better diagnosing pathology and in some cases, outperform them. Lower back pain (LBP) is widely prevalent in people all over the world and negatively affects the quality of life due to chronic pain and change in posture. According to the American Academy of Orthopedic Surgeons (AAOS) four out of five adults experience low back pain at some point during their lives. I will discuss results from our work in automating the diagnosis of spine pathology. Clinical datasets are generally limited to pathological findings such as arthritis, fracture, infection, dislocation or tumor, but in the absence of gross pathology there is very poor correlation to nonspecific spine pain clinical symptoms. Since the majority of spine pain patients do not have any correlative pathological findings, it is important to look at the mechanics of the spine from a clinical standpoint. I will end this talk with some results in automating the process of suggesting changes to biomechanics of the spine thus taking the automation from diagnosis to cure.

Speaker: Dr. Selwyn Piramuthu, Professor of Information Systems, University of Florida, Gainesville, Florida, USA

Title of Talk: RFID-based Relay Attacks

Biography: Selwyn Piramuthu is Professor of Information Systems at the University of Florida, where he has taught since Fall 1991. Trained in machine learning, his research interests also include cryptography with applications related to IoT/RFID, privacy/security, supply chain management, among others. Co-authored with Wei Zhou, his book titled, “RFID and Sensor Network Automation in the Food Industry” was published by Wiley in 2016. He received his B.Tech., M.S., and Ph.D. respectively from IIT-Madras, University of Arizona, and University of Illinois at Urbana-Champaign.

Speaker: Dr. Maheshkumar H Kolekar, Associate Professor, Electrical Engineering Department, Indian Institute of Technology(IIT), Patna, India

Title of Talk: Advanced Signal Processing and Machine Learning Techniques for Neurological Disorder Detection and Prediction Approach

Biography: Maheshkumar H. Kolekar was born in Satara, India. He received the Ph.D degree in electronics and electrical communication engineering from the Indian Institute of Technology Kharagpur in 2007. From 2008 to 2009, he was a Post-Doctoral Research Fellow with the Department of Computer Science, University of Missouri, Columbia, USA. Since 2010, he has been working as an Assistant Professor of Electrical Engineering with the Indian Institute of Technology Patna (IIT Patna), where he served as a Head, Department of Electrical Engineering, in 2013, for one year and Head, Center for Advanced Systems Engineering during 2014 to 2016 (Three years). His research interests are in digital image and video processing, video surveillance, and medical image processing. He was a recipient of the Best Paper Award from the Computer Society of India for his research paper. In 2012, he was an Organizing Chair of the IEEE sponsored International Conference on Signal, Image and Video Processing at the IIT Patna, a Guest Editor of the Journal of Medical Imaging and Health Informatics (American Scientific) for Special Issue on Biomedical Signal and Image Processing, a Tutorial Chair of the 4th IEEE International Conference on Intelligent Human Computer Interaction, a Keynote Speaker of the International conference on Biomedical Systems, Signals and Images at the IIT Madras, an Editorial Board Member of the American Journal of Signal Processing (Scientific and Academic). In 2014, he successfully organized Special Session on Intelligent Video Surveillance Systems at the International Conference on Systems Engineering, Las Vegas, NV, USA.

Talk description: EEG is used as a noninvasive tool for analyzing brain activity. The talk will summarize recent techniques used for detecting neurological disorders such as epilepsy and dementia. Epilepsy affects about 70 million people worldwide. Epilepsy is characterized by repeated seizures. EEG is used as a tool for auto diagnosis, localization, and prediction of seizure. Various features, features variation between pre-seizure, seizure and inter-seizure EEG signals and classifier used for the auto-detection will be discussed in the talk. Dementia is one of the largest neurological disorders affecting developing and poor countries. Pre-diagnosis of dementia will help to take steps for reducing the effect of dementia. Present need of the hour is to tackle dementia in India, estimate disease burden in the community and steps to increase awareness among people regarding dementia. The talk will focus on EEG signal processing techniques for pre-dementia diagnosis.