Prof. G. Sandhya Kiran
Designation: Head and Professor. Department of Botany, The Maharaja Sayajirao University of Baroda, Vadodara, Gujarat.
Qualification: Ph.D. in Botany, PGDEE & Post Doctorate from ISU, USA.
Membership of academies /societies/ professional bodies:
- Chairperson, Indian Society of Geomatics, Vadodara Chapter
- Convenor, Indian Women Scientists’ Association, Vadodara Chapter
- Convenor, Indian Science Congress Association, Vadodara Chapter
- Convenor, Women in Engineering, IEEE-GRSS, Gujarat Chapter
- Life member of Indian Society of Remote Sensing.
- Life member of Range Management and Agro forestry
- Life member of Association of Agrometeorologists
- Life member of Indian Botanical society
- Awarded Hardikar Gold Medal for standing first in M.Sc. by The M.S. University of Baroda Vadodara
- Awarded Boys cast Fellowship by Department of Science and Technology (DST) for carrying out research in the field of application of remote sensing in environmental studies. (1995 – 1996)
- Awarded UGC Research Award from University Grants Commission for carrying out research in the field of wasteland characterization using remote sensing (2002- 2005)
- Awarded ICQESMS 2010 Excellence Award from ICQESMS and BPC for best paper “Urban Environment Quality Assessment using Satellite data and Geographical information system”
- Awarded Gargi Award by MYM of Baroda, 2016
Areas of Interest:
- Plant Ecology
- Plant Physiology
- Remote Sensing
- GIS & Environment
- Sustainable Development of land
- Urban Planning
- Climate Change Studies
Working lab and No of Ph.D Students:
Eco-Physiology and Remote-Sensing Laboratory, Department of Botany, The Maharaja Sayajirao University of Baroda, Vadodara 390 002. Gujarat.
Ph.D Students: 9 Completed, 7 Working
Overseas visit: Postdoctoral training in RS-GIS at Department of Geography, Geology and
Anthropology Indiana State University, U.S.A from Feb’ 1995 to March’1996.
Experience : 28 Years of Teaching & 30 Years of Research
Project Completed: Fifteen
Ongoing Projects: Four
Research papers: Fifty four
Books and chapters in books: One; Three
Phone Nos: 0265-2791891; +91-9879048141
Email: email@example.com; firstname.lastname@example.org; email@example.com
Dr. Kuldeep Kurte
Kuldeep Kurte is currently a research scientist in the Computational Urban Sciences Group (CUSG) at Oak Ridge National Laboratory, USA. He finished his Ph.D. in Image Information Mining from Indian Institute of Technology Bombay, India, in 2017. During Ph.D., he generated an interest in the field of machine learning and high-performance computing for various geoscience and remote sensing applications. After his Ph.D., he joined Oak Ridge National Laboratory as a postdoctoral researcher in scalable geo-computation in January 2018. In his first project at the lab, he worked on developing a scalable end-to-end settlement detection workflow and its deployment on Titan supercomputer, which was further used to detect swimming pools in Texas from the satellite imagery. As a part of Urban Exascale Computing Project (UrbanECP) he worked on building a capability to facilitate running several instances of the Transims transportation simulations on Titan. He also worked on the tasks of analyzing a regional-scale impact of the inclement weather on traffic speed and coupling Transim’s output with the building energy simulation through an efficient spatial indexing approach. Continuing his interest in data-driven urban computing he is currently working on intelligent HVAC control using reinforcement learning for building energy optimization. Kuldeep has experience with working on various applications on different HPC platforms from NVIDIA Jetson Tk1 to the Summit supercomputer.
Dr. Suryakant Sawant
Dr. Suryakant holds PhD in Geoinformatics from Indian Institute of Technology Bombay with a focus on Sensor Web based framework for crop water management.
He is currently leading the Remote Sensing and GIS research team at Digital Farming Initiatives, TCS Ltd., where he is responsible for developing innovative solutions using Geospatial technologies for agriculture. He has over 10+ years of experience in the interdisciplinary technology sector spanning across computer and electronics applications in Agriculture.
He has authored 30+ national and international research publications that include patent, book chapter, journal, conference, workshop publications.
Dr. Chandrakant Ojha
Dr. Chandrakant Ojha joined IISER Mohali in February 2021 as an Assistant Professor in the Department of Earth and Environmental Sciences. Previously, he served as a scientist in Geoscience Australia, an organization under the Australian Government. Before that he was a postdoctoral research associate with the School of Earth and Space Exploration, Arizona State University, USA, and a research fellow at IREA-CNR, an Italian national research organization, Italy. His main research interests include the development of satellite remote sensing technique and its diverse application for Earth observation. He received his master in natural resources engineering from the IIT Bombay, and PhD in civil and environmental engineering from the University of Rome ‘La Sapienza’, Italy.
Dr. B.S. Daya Sagar
B. S. Daya Sagar (M’03-SM’03) is a Full Professor of the Systems Science and Informatics Unit (SSIU) at the Indian Statistical Institute. Sagar received his MSc and Ph.D. degrees in Geoengineering and Remote Sensing from the Faculty of Engineering, Andhra University, Visakhapatnam, India, in 1991 and 1994 respectively. He is also the first Head of the SSIU. Earlier, he worked in the College of Engineering, Andhra University, and Centre for Remote Imaging Sensing and Processing (CRISP), The National University of Singapore in various positions during 1992-2001. He served as Associate Professor and Researcher in the Faculty of Engineering & Technology (FET), Multimedia University, Malaysia, during 2001-2007. Sagar has made significant contributions to the field of geosciences, with special emphasis on the development of spatial algorithms meant for geo-pattern retrieval, analysis, reasoning, modeling, and visualization by using concepts of mathematical morphology and fractal geometry. He has published over 85 papers in journals and has authored and/or guest-edited 11 books and/or special theme issues for journals. He recently authored a book entitled "Mathematical Morphology in Geomorphology and GISci," CRC Press: Boca Raton, 2013, p. 546. He recently co-edited two special issues on "Filtering and Segmentation with Mathematical Morphology" for IEEE Journal of Selected Topics in Signal Processing (v. 6, no. 7, p. 737-886, 2012), and "Applied Earth Observation and Remote Sensing in India" for IEEE Journal of Selected Topics in Applied Earth Observation and Remote Sensing (v. 10, no. 12, p. 5149-5328, 2017). His recent book “Handbook of Mathematical Geosciences”, Springer Publishers, p. 942, 2018 crossed 850000 downloads. He was elected as a member of New York Academy of Sciences in 1995, as a Fellow of Royal Geographical Society in 2000, as a Senior Member of IEEE Geoscience and Remote Sensing Society in 2003, as a Fellow of the Indian Geophysical Union in 2011. He is also a member of the American Geophysical Union since 2004, and a life member of the International Association for Mathematical Geosciences (IAMG). He delivered the "Curzon & Co - Seshachalam Lecture - 2009" at Sarada Ranganathan Endowment Lectures (SRELS), Bangalore, and the "Frank Harary Endowment Lecture - 2019" at International Conference on Discrete Mathematics - 2019 (ICDM - 2019). He was awarded the 'Dr. Balakrishna Memorial Award’ of the Andhra Pradesh Academy of Sciences in 1995, the Krishnan Medal of the Indian Geophysical Union in 2002, the 'Georges Matheron Award - 2011 with Lectureship' of the IAMG, and the Award of IAMG Certificate of Appreciation - 2018. He is the Founding Chairman of Bangalore Section IEEE GRSS Chapter. He has been recently appointed as an IEEE Geoscience and Remote Sensing Society (GRSS) Distinguished Lecturer (DL) for a two-year period from 2020 to 2022. He is on the Editorial Boards of Computers & Geosciences, Frontiers: Environmental Informatics, and Mathematical Geosciences. He is also the Editor-In-Chief of the Springer Publishers’ Encyclopedia of Mathematical Geosciences. For more details about him, the following webpages may be referred at http://www.isibang.ac.in/~bsdsagar, Click here to know more.
Dr. Jaya Nair
Jaya Sreevalsan Nair is currently a faculty member at the International Institute of Information Technology Bangalore (IIITB). She leads the Graphics-Visualization-Computing Lab and is one of the core team members of the E-Health Research Center at IIITB. Jaya has research interests in data visualization, scientific computing, computer graphics, and computational topology. She works on modeling data for effective visualizations and identifying appropriate visualizations for complex datasets in data science workflows. She focuses on data modeling using second-order tensors, matrices, and networks for varied applications. Some of her recent work includes uncertainty analysis of the semantic classification of LiDAR point clouds, spatial and statistical analysis of population surveys, automated data extraction from chart images, and community detection in biological and brain networks. Her work has been supported by grants from SERB, DST, GoK, Intel, IBM, to name a few. She is an ACM member and IEEE Senior member. Jaya is currently serving as an Associate Editor of IEEE Transactions on Circuits and Systems for Video Technology (TCSVT) and the Chair of the IEEE GRSS Bangalore Section Slate. Prior to joining IIITB, she had worked as a scientific programmer at Enthought Inc. Austin and as a research associate at Texas Advanced Computing Center, the University of Texas at Austin. Jaya has obtained her Ph.D. in Computer Science from the University of California, Davis; after a B. Tech from IIT Madras and an M.S. from Mississippi State University.
Dr. Leisa Armstrong
Leisa has worked as an academic in Computer Science discipline at ECU since 2002. Leisa founded the Digital Agriculture Research Group and has been a member of Centre for Ecosystem Management and Centre for Innovative Practice at ECU. She has multidisciplinary expertise in Computer science, Agriculture and Environmental Science. Leisa is also Course coordinator of coursework Masters in Computer Science and is a University Contact Officer (UCO) in the Office of Pro-Vice Chancellor (Equity and Indigenous). Before joining ECU, she worked for many years as an agricultural research scientist with research experience is in cereal agronomy and physiology and the effects of environmental stress on crop production and weed physiology. She has worked on various industry funded project in industry as a software engineer and programmer. She has a PhD in Agricultural Science (UQ) and Master of Science Software Engineering (ECU). Leisa has also worked as an academic at various universities including University of Queensland, Curtin and Murdoch Universities with honorary positions at different Indian and Thailand universities in both computing, agricultural and biological sciences disciplines. She has supervised a number of PhD and Research Masters students in both Australia, India and Thailand.
Leisa is an internationally recognized researcher in Digital Agriculture. She leads several international research collaborations in Asia which focus on technology solutions for sustainable agricultural systems. Leisa is a past President of Asian Pacific Federation of Information Technologies in Agriculture (APFITA) and has been awarded by International Commission of Agricultural and Biosystems Engineering (CIGR) High Merit Award for services to Information Technology in Agriculture. She is also ACS WA Branch Treasurer, IEEE, ACM, SPAA and Australian Farm Institute member and Fellow of AIM(WA) Institute.
She has published widely in the area of Computer and Agricultural science including over 100 publications as journal articles, conference papers, book and book chapters, industry reports, and conference proceedings. Dr. Armstrong has successfully lead both international and national research projects (Australia India Strategic Research Fund, Grains Research and Development Corporation, CRC Sustainable Tourism, Pawsey Funding and been awarded Industry Funding with DPIRD and WA State Government. She has international collaborations in India, Thailand Japan Bangladesh, Canada and USA. with international collaborators in India, Thailand, and Australia. Leisa brings a multidisciplinary approach to her research. Building on her background and expertise, she is currently researching digital agriculture, decision support systems, AI and deep learning approaches, drone image capture and analysis, vertical farming and Lora networks and ICT adoption.
In her spare time she loves playing saxophone and drums and travelling to India where she has founded an NGO in India.