Prof. Sushmita Mitra, Machine Intelligence Unit of the Indian Statistical Institute, Kolkata

Title of Talk: Hybridization with Rough Sets: Application to Bioinformatics and Biomedical Imagery


Biography: Sushmita Mitra is a full Professor at the Machine Intelligence Unit (MIU), Indian Statistical Institute, Kolkata. She was the Head of MIU during the period 2010 to 2012. From 1992 to 1994 she was in the RWTH, Aachen, Germany as a DAAD Fellow. She was a Visiting Professor in the Computer Science Departments of the University of Alberta, Edmonton, Canada in 2004, 2007; Meiji University, Japan in 1999, 2004, 2005, 2007; and Aalborg University Esbjerg, Denmark in 2002, 2003. Dr. Mitra received the National Talent Search Scholarship (1978-1983) from NCERT, India, the University Gold Medal in 1988, the IEEE TNN Outstanding Paper Award in 1994 for her pioneering work in neuro-fuzzy computing, and the CIMPA-INRIA-UNESCO Fellowship in 1996.

She is the author of the books "Neuro-Fuzzy Pattern Recognition: Methods in Soft Computing" and "Data Mining: Multimedia, Soft Computing, and Bioinformatics" published by John Wiley, and "Introduction to Machine Learning and Bioinformatics", Chapman & Hall/CRC Press, beside a host of other edited books. Dr. Mitra has guest edited special issues of several journals, is an Associate Editor of "IEEE/ACM Trans. on Computational Biology and Bioinformatics", "Information Sciences", "Neurocomputing", and is a Founding Associate Editor of ``Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery (WIRE DMKD)". She has more than 75 research publications in referred international journals. According to the Science Citation Index (SCI), two of her papers have been ranked 3rd and 15th in the list of Top-cited papers in Engineering Science from India during 1992--2001.

Dr. Mitra is a Fellow of the IEEE, and Fellow of the Indian National Academy of Engineering and The National Academy of Sciences, India. She is an IEEE CIS Distinguished Lecturer for the period 2014-2016. She has served in the capacity of Program Chair, Tutorial Chair, Plenary Speaker, and as member of programme committees of many international conferences. Her current research interests include data mining, pattern recognition, soft computing, image processing, and Bioinformatics.


Dr. Suparna BhattacharyaDistinguished Technologist, Hewlett-Packard India Software Operations Pvt. Ltd., India

Title of Talk: Software Bloat, Lost Throughput and Wasted Joules


Biography: Suparna Bhattacharya is a Distinguished Technologist in the HP Storage CTO office. She holds a PhD in Computer Science and Automation from the Indian Institute of Science and a B.Tech in Electronics and Electrical communication from IIT Kharagpur. Suparna worked at IBM from 1993-2014, delving into operating systems and file-system internals on various platforms. She made her foray into the Linux kernel in 2000 and got introduced to the joys of working on open source. Her contributions to Linux span multiple areas and she was regularly invited to chair sessions at the Linux Kernel Summit, a by-invitation only event where key contributors of the Linux Kernel get together to decide the future roadmap of the Kernel. Suparna was elected to the IBM Academy of Technology in 2005 and in 2012, she moved to IBM's research division after an educational leave of absence to pursue doctoral studies. Her dissertation work on "A systems perspective of software runtime bloat and its power-performance implications" impacted diverse research communities resulting in publications at top-tier venues such at SIGMETRICS, ECOOP, HotOS, HotPower, OOPLSA and ICML and was awarded the best PhD thesis in the department of computer science and automation at IISc. At IBM research, Suparna initiated exploratory projects on software defined memory and systems-software co-design for extreme-scale contextual and cognitive computing. These days at HP, she focuses on the implications of emerging non-volatile memory technologies in future systems.

Talk description: There appears to be an inherent tension between development-time productivity and run-time efficiency of IT solutions. Software systems tend to accumulate "bloat" as a side-effect of the same software engineering trends that have been extremely successful in fueling the widespread growth of frameworks that enable applications to rapidly evolve in scale and function to handle ever more complex business logic, integration requirements and unanticipated changes in demanding environments. In the past, the benefits of such flexibility have far outweighed the cost of overheads incurred. Today, shifting hardware technology trends and operational challenges motivate a need for paying greater attention to these inefficiencies and devising techniques for mitigating their impact on energy consumption and system performance. However, distinguishing excess resource utilization due to "bloat" from essential function is highly non-trivial without a deep knowledge of intended semantics of very complex software. This talk presents a systems perspective of the problem of runtime bloat in large framework based Java applications and its implications for energy efficient design, including results from recent research and interesting open questions to tackle.

Dr. Arati M. DixitPune University

Title of Talk: Graph Theoretical Modeling for Engineering Problems and Systems


Biography: Arati M. Dixit received a Ph.D. in Computer Engineering from Wayne State University, Detroit, MI, USA. She has also completed The Certificate in Scientific Computing Program from Wayne State University. She is an Alumni of IIT Bombay with M.Tech. in Computer Science and Engineering. She has done BE in Computer Engineering from University of Pune.

Currently she is an Associate Professor at the Department of Technology, Savitribai Phule Pune University. She a visiting faculty and Research & Development associate at the Department of Computer Engineering, PVPIT, Bavdhan. She has been associated with the academic profession for last 16+ years. She has published more than 80 research papers in reputed refereed national/international conferences and journals. Her areas of interest are Cyber Security, Cyber Physical Systems, Soft Computing, and High Performance Computing. She has been associated with Ph.D. students at Defence Institute of Advanced Technology and Savitribai Phule Pune University. She has been a member of Board of Studies and Research Recommendation Committees with reputed Institutes/Universities.

She is an executive council member of Association for Computing Machinery (ACM) India's ACM-W. ACM-W is ACM Council on Women in Computing. She is the Vice-Chairperson of ACM iSIGCSE(India Special Interest Group on Computer Science Education) as well as ACM Pune Professional Chapter. She is an ACM Senior Member and active ACM-W volunteer supporting and advocating full engagement of women in computing.

Talk description: Mathematical modeling plays a significant role in solving any problem or designing a system. Some of the problems we see around can be represented as a Graph Theoretical Model, which facilitates solving them by simply proposing methodology to solve a 'graph'! As a case study Wireless and Mobile Sensor Network Reliability of Unmanned Ground Vehicles (UGV) is discussed. Taking into account the amount of data being generated to be processed, reconfigurable computing significantly improves the performance of these systems. This talk also gives insight into tools and techniques supporting reconfigurable computing.
Ms. Tanuja Ganu, Co-Founder, DataGlen Inc
Title of Talk: Bridging cyber and physical worlds - the opportunities and challenges of IoT technology


Biography: Tanuja is a Co-founder at DataGlen Inc., an early-stage startup that focuses on building cutting edge Big Data technologies for the Internet of Things (IoT). In the past, she has worked as Research Software Engineer at IBM Research, India. At IBM, her work was focused on applying innovative machine learning and optimization approaches for energy related problems such as demand side management techniques and embedded analytics research. 

Her research interests are in machine learning, data mining, embedded analytics and optimization. She has been awarded MIT TR35 2014 global young innovators award and also serving on judges committee for MIT TR35 2015. She has won IBM Eminence and Excellence award for embedded analytics energy initiatives and IBM first invention plateau award.  Prior to joining IBM Research India, she led SharePoint Center-of-Excellence team at Tata Consultancy Services Ltd. She pursued her Masters in Computer Science at Indian Institute of Science (IISc), Bangalore and undergraduate studies in Computer Science at Walchand College of Engineer, Sangli.


Dr. Jharna Majumdar, Scientist G DRDO (Retd.)DEAN R & D, Head CSE (PG),  Head, Centre For Robotics Research, Nitte Meenakshi Institute of Technology, Bangalore 
Title of Talk: TBA


Biography: Dr. Jharna Majumdar currently working as Dean R & D and Professor and Head of Computer Science and Engineering (PG) at the NITTE Meenakshi Institute of Technology, Bangalore. Prior to this Dr. Majumdar served Aeronautical Development Establishment, Defence Research and Development Organization (DRDO), Ministry of Defence, Govt. of India as Research Scientist and Head of Aerial Image Exploitation Division, Bangalore. Dr. Majumdar has 40 years. of experience in R & D and Academics in the country and abroad. From 1983 to 1989 Dr. Majumdar worked as Research Scientist in the Institute of Real Time Computer Systems and Robotics, Germany. She has worked in the Stanford Research International California, USA as a Research Professor in 2002. She has published large number of papers in National, International Journals and Conferences. Dr. Majumdar received large number of award from DRDO including Prime Minister’s Performance Excellence Award, V M Ghatage Award, Suman Sharma Award, Kalapana Chawala Memorial Lecture Award to name a few.

Her project with team of students from 7 engineering colleges and ISRO for building the first smallest satellite in India (a PICO satellite of weight less than 1 kg) had taken off to the orbit successfully by mid May 2010. Nitte Amateur Satellite Tracking Centre (NASTRAC) developed by a team of students from NMIT under her guidance is the first Tracking Station of Small Satellites developed in the country. 

The research team of Robotics under her guidance has developed a Robot with Innovative Vision System and installed at the Birla Science Centre, Hyderabad as the First Robotics Exhibit in Indian Museum. The latest research work by Dr. Majumdar and her team is the development of an Intelligent Humanoid Robotic Head capable of understanding Human Instructions and can mimic Human Facial Expressions. The Intelligent Robotic Head is being filed as a Patent by her team. Dr. Majumdar has 3 patents with students of NMIT in last 4 years.