Women in Data Science and High Performance Computing (WDSHPC18)

December 17, 2018

Workshop Agenda

HiPC Workshop 4 (WDSHPC) Keynote Talk


It’s a marathon, not a sprint!


Dr. Rohini Srivathsa

National Technology Officer – Microsoft India






This talk will feature personal stories from years of learning, reinventing, seeking one’s purpose, staying true and authentic to self and others, failing and falling, and then rising strong again. And keeping up a sense of humor.


Dr. Rohini Srivathsa is the National Technology Officer at Microsoft-India. Her professional career has straddled business and technology for 25 years, across US, India and emerging markets. Rohini has worked in R&D at AT&T Bell Labs, in strategy consulting at BCG and IBM, and in a CTO role in financial services. She is passionate about the potential impact of technology on business and society, has multiple technical and business publications and is a frequent invited speaker. Rohini holds a PhD in Computer Engineering from the University of Texas at Austin and an MBA from the Wharton School of the University of Pennsylvania.


HiPC Workshop 4 (WDSHPC) Invited Talk 1


High Bandwidth Journey on HPC (roadmap)


Akshara Kaginalkar

Senior Director, HoD HPC-SEA group

C-DAC Bangalore & Pune





The talk will essay my personal journey in India’s supercomputing scenario. It will describe the HPC initiation in India in early 90’s with PARAM & transputers and the present generation Supercomputers. The talk will share professional and personal challenges while growing in the interdisciplinary niche area of HPC applications. Opportunities in interdisciplinary HPC applications of societal importance will be presented.


Ms. Akshara Kaginalkar is currently working as senior director (Sc G) in Centre for Development of Advanced Computing (C-DAC), a Govt of India R&D institute. She is leading the HPC- Sc&Eng applications group in C-DAC for weather, CFD, seismic data processing and hydrology applications. She has 27+ years of experience in parallel processing, numerical modelling and complex supercomputing based decision support system development. She has executed 30+ projects in HPC domain for commercial, R&D and data service applications. She has extensive collaboration with national agencies: Navy, IAF, DST, MoES, MoEF, IIT, ISRO, CSIR and international institutes: USEPA, University of Riverside, CA, USA, University of Iowa, USA, NCAR, USA, Purdue University, USA and ICTP, Italy. Akshara has mentored generations of HPC Scientists in C-DAC and advocates leadership opportunities for women technocrats.


HiPC Workshop 4 (WDSHPC) Invited Talk 2


Advancement in Automated Driving


Dr Krishna Paul

Principal Engineer, Intel Corporation





This talk will provide a perspective on Autonomous driving   that includes the worldwide acknowledgment for need of Autonomous Driving(AD)  Cars, Architectural    requirements in AD Software   and  Hardware   and certification requirements  for  Safety levels.  It will delve inside typical workload pipeline that an autonomous vehicle would require.  The talk will conclude by providing direction on opens problems and future research.



Dr Krishna Paul is a Principal Engineer at Intel Corporation and has over 23 years of experience in embedded system Design, Research and Development. Her specialisation research areas have been Wireless MAC, networking and distributed algorithms and she led multiple generations of Intel product as architect in the areas of Low power System SW design and optimizations, Platform Security, Analytics and Machine Learning workload analysis for server optimizations, Audio/Voice/speech system architecture. Her work influenced media and cellular stacks of Intel SoC and operating systems, which shipped with millions of  Intel products. Currently she is leading self-driving car architecture in the Intel Server group. Prior to Intel she worked as Senior researcher in NEC Networks laboratory in Germany, focusing on distributed system algorithms research  and as Faculty of Computer Science in IIT Mumbai. She has over 25 IEEE/ACM publications, and served in several technical program committees.  Krishna is a passionate advocate for Diversity technical leadership.



HiPC Workshop 4 (WDSHPC) Invited Talk 3


Visual Analytics is Komorebi:

For Exploring Spatial Relationships in Data and for Leveling the Playing Field in STEM Careers


Jaya Sreevalsan Nair, Ph.D.

Graphics-Visualization-Computing Lab | Center for Data Sciences | E-Health Research Center




Komorebi is a Japanese word that roughly translates to the sunlight that filters through the leaves, e.g. foliage of a dense forest, creating a beautiful interplay of light and shadows. Think of the imagery of complexities in the spatially encoded data, e.g. point clouds and complex networks, to be the thick foliage. In such a scenario, the data science methods personify the light that penetrates through the foliage to create data analytics, which is the beautiful creation. Visual analytics is one such creation. In my research, I constantly seek novel ways of bringing spatial relationships in the data out, to “re-package” data that feeds into visualization systems. These visualizations then become a part of the larger data analytic processes, collectively called visual Analytics. Now, think of yet another imagery of the obstacles in the path to STEM (Science, Technology, Engineering and Mathematics) careers as the foliage. Then, the interdisciplinary career paths that can penetrate through the thick foliage will create a level playing field in STEM careers, which is the beautiful creation. A career in visual analytics is one such creation. I began my professional training as an aerospace engineer and over time, diversified to a researcher in visual analytics. My professional journey until now is, however, not unique, given that multi-disciplinary careers are widely prevalent today. I believe that the non-uniqueness of such career paths is synonymous to the diversity in aspirations, which makes the playing field inclusive. In this talk, I will give insights to my research in visual analytics, and the challenges and opportunities in both research and practice. I will impress upon the diversity of data, disciplines, and skills involved in this field for researchers, practitioners as well as users; and on why I believe this diversity continues to have the power to make data science and computing more inclusive.

Speaker Bio:

Jaya Sreevalsan Nair is currently a faculty member at the International Institute of Information Technology Bangalore (IIITB). She is an alumnus of the Indian Institute of Technology Madras, Mississippi State University, and the University of California at Davis. Prior to IIITB, she had worked at Enthought Inc. and the Texas Advanced Computing Center. Her research interests are in finding appropriate data models, e.g. tensors and matrices, for visual analytics, by exploiting spatial relationships in complex datasets. Some of her recent work includes geometric reconstruction from LiDAR point clouds, integrative analysis of multiplex networks, and collaborative design of health informatics dashboards. She leads the Graphics-Visualization-Computing Lab at IIITB (http://www.iiitb.ac.in/GVCL) and is one of the convenors of the E-Health Research Center at IIITB (http://ehrc.iiitb.ac.in).




HiPC Workshop 4 (WDSHPC) Program Schedule








Opening Remarks and Welcome


Vandana Janeja

Opening Remarks

Keynote Speaker


Rohini Srivathsa, Ph.D


It’s a marathon, not a sprint!

Session Chair : Dr.P.Chitra




Long Paper WDSHPC1


Vijaylakshmi Jigajinni

Vijaylakshmi Jigajinni and Upendranath Vanam, Health Management of a Typical Small Aircraft Fuel System Using an Adaptive Technique

Long Paper WDSHPC3


Devika Anil, Anagha Vembar

Devika Anil, Anagha Vembar, Srinidhi Hiriyannaiah, Siddesh G M and K G Srinivasa, Performance Analysis of Deep learning architectures for Recommendation Systems

Invited technical talk


Akshara Kaginalkar

Senior Director

HoD HPC-SEA group

C-DAC Bangalore & Pune

High Bandwidth Journey on HPC (roadmap)

Long Paper WDSHPC4


Nilkamal More

Nilkamal More, V. B. Nikam and S Sen, Experimental Survey of Geospatial Big Data Platforms





Session Chair : Dr. Nitya Hariharan




Invited technical talk


Krishna Paul – Principal Engineer – Intel Corporation

Advancement in Automated Driving

Invited Technical Talk


Jaya Sreevalsan Nair, Ph.D.

Research Affiliations: Graphics-Visualization-Computing Lab | Center for Data Sciences | E-Health Research Center

Visual Analytics is Komorebi: for Exploring Spatial Relationships in Data and for Leveling the Playing Field in STEM Careers

Lightning Talk WDSHPC2


Shanmugapriya Kandasamy, Divya Raji

Shanmugapriya Kandasamy, Divya Raji and Arun Sundararaman, Data science techniques to improve accuracy of Provider Network Directory

Short Paper WDSHPC10


Deepika Dash

Anala M R and Deepika Dash, Framework for Automatic Parallelization

Session Chair: Dr. Vandana Janeja




Roundtable: Next Steps


Discussion with invited speakers on future steps






While the HPC and data science research offers an unprecedented opportunity for growth in science, education, commerce, and communication, it also opens up new challenges and opportunities of engaging women. This workshop will provide a forum to bring together researchers discussing advanced methods in data analytics and will deal with practical applications where these can be used with key contributions from women scientists. The goal of this workshop is to bring together the state of the art research in the context of broadening participation from women researchers. Authors are invited to submit original unpublished research manuscripts that demonstrate current research in all areas of high performance computing, data and analytics. In addition, topics relevant to broadening participation from women will be invited. Example topics include but are not limited to:


  • Analytics in application areas such as: wireless mobile networks, financial services, transportation, implantable medical devices, bioinformatics

  • Core Data Analytics approaches for heterogeneous data, spatio-temporal data and image data

  • Opportunities and challenges for Women researchers

  • Education in areas of Data Science and HPC 

  • Parallel and distributed computing, algorithms or tools for improving code performance on multi-node clusters.


Manuscript Guidelines

Submitted manuscripts should be structured as technical papers and may not exceed ten (10) single-spaced double-column pages using 10-point size font on 8.5×11 inch pages (IEEE conference style), including figures, tables, and references. See style templates for details:


LaTex Package (ZIP)

Word Package (ZIP)


Electronic submissions must be in the form of a readable PDF file. All manuscripts will be reviewed by the Program Committee and evaluated on originality, relevance of the problem to the conference theme, technical strength, rigor in analysis, quality of results, and organization and clarity of presentation of the paper.


Submitted papers must represent original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines will be rejected without review and further action may be taken, including (but not limited to) notifications sent to the heads of the institutions of the authors and sponsors of the conference.


Presentation of an accepted paper at the workshop is a requirement of publication. Any paper that is not presented at the conference will not be included in  proceedings.


Submission Portal

 Easy chair link: https://easychair.org/conferences/?conf=widshpc18


Important Dates                                                                         

August 30, 2018      September 15, 2018:  Abstract Submission deadline*                                         

September 9, 2018 September 30, 2018: Paper Submission deadline*
September 26, 2018: Author Notification                                

October 3, 2018 October 29, 2018: Camera Ready submission                                        

*Submission deadlines extended due to several requests.


Organising Committee 

Vandana Janeja, University of Maryland, Baltimore County, USA

Nitya Hariharan, Intel, India

P. Chitra, Thiagarajar College of Engineering, India


Program Committee Members :

Karuna P. Joshi, University of Maryland, Baltimore County

Vijay Atluri, Rutgers University

Nabanita Das, Advanced Computing & Microelectronics Unit Indian Statistical Institute 

Yelena Yesha, University of Maryland, Baltimore County

Sonali Agarwal, Indian Institute of Information Technology – Allahabad 

Ranjani Parthasarathi, Anna University, Chennai

Hemangee Kapoor, Indian Institute of Technology, Guwahati 

Jyotsna Khemka, Intel

Lucy Erickson, AAAS Science and Technology Policy Fellow 













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