Joint Chapter of IEEE Computational Intelligence, Geoscience and Remote Sensing Societies
To be forefront in developing skills and leadership qualities through creation of ample oppurtunities for sharing knowledge, colloboration and networking for better future
To promote computional intelligence and related technologies in the areas of geoscience and remote sensing at Hyderabad
IEEE CIS/GRSS Chapter Hyderabad is a vibrant group having members from both Industry and academia with sole mission of promoting computational Intelligence technologies that are of societal importance and benefit the Human kind. In the recent years we have seen a phenomenal growth in value driven businesses and mobile platforms that provide valuable user centric services to individuals. On the other hand advances in Geoscience and Remote sensing has transformed our understanding of the earth, oceans, atmosphere, and space systems through improved processing and interpretation. Many of the outcomes are being utilized for societal benefits. The continious collections of data from multiple variety of sensors from multiple satellites is resulting in large volumes of data. The challenges associated with processing and understanding is presently of wide interests to industry, research organizations and academia. The current focus of the Industry is to develop systems that can learn, behave in an intelligent manner to maximize their automation, the growth in utilization of remote sensing data there is huge scope and potential in the growth of CI technologies. The main goal of the chapter is to bring together professionals from academia and Industry to share their research findings on these frontiers. Also, one of our objectives is to harness the skills of young professionals and students through their involvement in the chapter activities. Volunteers are the veins of the chapter, so we are in continuous look out for strong self motivated individuals to volunteer and steer the chapter to realize its vision. We welcome your suggestions and participations in our activities.
The Chapter was founded in 2011 by Dr. Amit Kumar. Dr. Amit Kumar chaired the chapter from 2011-2012. The chapter under his leadership received the outstanding CIS chapter award in 2013. Prof. Atul Negi chaired the chapter from 2013 to 2015. The present chair Dr. Naresh Kumar is steering the chapter from 2016 onwards. Under his leadership a computational intelligence, Geoscience and Remote Sensing societies joint chapter was envisaged and formed in 2017. His outstanding contributions as volunteer has won accolades from CIS resulting in yet another outstanding CIS chapter award for actitivites done in 2016.
IEEE CIS chapter Hyderabad Section has organized more than 25 events this year. We have organized hands on sessions, technical talks, workshops with experts from premier academic institutions and Industry such as Indian Statistical Institute kolkota, PES University, Mahindra ecole Centrale, Infosys and Microsoft. Recently, we have organized a flagship event titled “John Mc Carthy Memorial Lectures series” which is widely accepted by the CIS community. The first lecture was delivered by Prof. C.A. Murthy, Indian Statistical Institute, Kolkata and the Second lecture was delivered by Prof. Raghu Krishnapuram, Fellow IEEE. Recently, we have started GRSS flagship event titled “Richard Moore Memorial Lectures”. The first lecture was delivered Dr. Paul A. Rosen, JPL, NASA. We propose to take forward our experiential learning to organize innovative programs that provide oppurtunities for all classes our memberships in 2018.
|Name & Designation||Organization||#Membership|
|Chairman: Naresh Kumar M||NRSC, Hyderabadfirstname.lastname@example.org||SM 92101512|
|Vice Chairman: KS Rajan||IIIT Hyderabademail@example.com||M 92104718|
|Secretary/Treasurer: T Hitendra Sarma||SRIT, Ananthapuramufirstname.lastname@example.org||M 91168866|
|Webmaster: Mousmi Ajay Chaurasia||MJCET, Hyderabademail@example.com||M 91191414|
|Chapter Promoter: Mr. P.Laxman Raofirstname.lastname@example.org||M 40296160|
|Chapter Coordinator: Vijayalaxmi||VITS, Hyderabademail@example.com||M 92478983|
|Assistant Newsletter Editor : Hari Priya Sakethapuram||NRSC, Hyderabadfirstname.lastname@example.org||M 94573404|
|Immediate Past Chairman: Atul Negi||UoH, Hyderabademail@example.com||SM 3803707|
Student Branch Chapter
Muffakham Jah College of Engineering and Technology, Hyderabad
Srinivasa Ramanujam Institute of Technology, Anantapur
The CIS Pre-College Activities Subcommittee has prepared some CI-related introductory materials, which may be helpful for you to promote your activities for pre-college students and industry members. There are two packages, including the Artificial Neural Networks pack and Fuzzy Logic pack. You can find more details below:
Artificial Neural Networks pack comprises of:
An interactive power point presentation which examines how we learn using our brain and examines, what exactly is an artificial neural network A basic introduction to how an artificial neural network learns. Introduction to a simple Eyeball Neural Network and associated activity- how does the network learn to detect apples? A hands-on classroom activity where you get to identify features and classify items in a bag.
Fuzzy Logic pack comprises of:
An interactive power point presentation featuring key facts and introductory information on fuzzy logic and fuzzy systems Two activity sheets, which can be completed as part of a classroom tutorial A Teachers lesson plan giving suggestions on how to use the teaching pack with timings for each section and a guide on how to run the activities
If you have any questions, please feel free to contact Manuel Roveri (firstname.lastname@example.org) and Amir Hussain (email@example.com), from Pre-College Activities Subcommittee, or firstname.lastname@example.org.
Please cite this website if you are using this material in your course work.
CIS SUMMER SCHOOL - 22-28 November 2018
A 6-day Computer Intelligence Society summer school is to be held from November 22-18, 2018 on the campus of Muffakham Jah College of Engineering & Technology, Banjarahills, Hyderabad, India. Recent spurt in adoption of computational intelligence based techniques by Industry giants for commercial use has created a demand to reskill the young professionals. Also, many startups that provide computational intelligence based solutions to customers have sprung up and are on lookout for graduate students who have prior exposure and working knowledge in computational intelligence. This in turn has led to a requirement to provide additional skills to new job aspirants. This summer schools attempts to fulfill the above requirements through a balanced program design incorporating theory, implementation and applications of computational intelligence technologies.
Registration : https://www.payumoney.com/events/#/buyTickets/cis-ss2018
Venue: Muffakham Jah College of Engineering & Technology (M.J.C.E.T.) Banjara hills, Hyderabad
Contact: Atul Negi, Chair, IEEE CIS Summer School email@example.com M.Naresh, Co-Chair , IEEE CIS Summer School firstname.lastname@example.org
GRSS Summer School - 9-13 July 2018
A 5-day Remote Sensing workshop/summer school is to be held Monday-Friday, July 9-13 on the campus of Mississippi State University, Starkville, MS. This is the IEEE Geoscience and Remote Sensing Society (GRSS) annual summer school. The intensive workshop is designed to jumpstart a student or professional who is relatively new to the field of remote sensing and particularly for scientists who want to utilize remote sensing technologies. This year’s workshop will have seminars and hands-on sessions with UAVs and agricultural analysis, so that is very exciting. The summer school is held each year during the days just prior to the IEEE International Geoscience and Remote Sensing Symposium (IGARSS). While IGARSS typically has 1500-2000 attendees, we typically only have about 50-60 students and young professionals participate in the summer school, so they get a lot of one-on-one attention from the leading experts we bring in to teach the sessions. It is VERY affordable ($100 registration), so it is a great opportunity to add on a few days of intensive learning before the IGARSS conference or as a stand-alone activity on its own. Student housing is VERY inexpensive ($45/night – single; $30/night double), and we encourage attendees to take advantage of this opportunity. This highly useful program giving insights into UAVs, remote sensing sensors and their applications to agricultural analysis.
Contact: John Ball, Co-chair, IEEE GRSS Summer School email@example.com
Educational Activities 2018 - Graduate Student Research Grants
The IEEE CIS is inviting applications for funding opportunity, for deserving undergraduate, graduate and PhD students who need financial support to carry out their research during an academic break period. Any student with a meritorious project is invited to apply, but scholarships will be granted only to applicants who are student members of the IEEE CIS and students at the time the scholarship is awarded.
The primary intent of these scholarships is to cover the expenses related to a visit to another university, institute or research agency for collaboration with an identified researcher in the field of interest of the applicant. Funds can be used to cover travel expenses as well as certain living expenses (such as housing). The field of interest of applicants is open, but should be connected with identifiable component of the CIS (neural networks, fuzzy systems, or evolutionary computation). The amount of a CIS scholarship varies from $1,000 to $4,000. We expect to award 3-5 scholarships, but it depends on the budget approved by CIS ADCOM. Deadline for submission of applications is Mar 15, 2018. Please refer to the details or contact Bing.Xue@ecs.vuw.ac.nz.
Hands-on Training on “Soil Moisture and Agricultural Monitoring using Microwave Remote Sensing”, 7-9 Feb 2018, Ahmedabad Gujarat
Space Applications Centre (SAC) in collaboration with IEEE GRSS is organizing a three days meet on soil moisture and agriculture monitoring using microwave remote sensing from February 7-9, 2018 at Ahmedabad. The training program is open to young researchers, scientists, students and professionals, who intend to familiarize with basics of SAR, Radiometry, SMAP, NISAR mission and methods for analyzing SAR data for soil moisture and crop monitoring. Faculty for the program are drawn from University of Massachusetts, SMAP team, NASA/JPL and ISRO/SAC. IEEE would provide travel support (up to INR10,000) to limited outstation IEEE GRSS members participating in the training program, on request basis, which can be used for travel/accommodation or both. Reimbursement would be made during the training program on production of original receipt. Certificate: Participation certificate would be provided on completion of the training.
Request for Travel Grants: Please submit your application for IEEE GRSS travel grant through the link given below.
Space Applications Centre (SAC) has been playing an important role in utilizing space technology through its various applications for socio-economic development of the country. The centre is responsible for the development, realization and qualification of the payloads and related ground systems in the areas of communications, broadcasting, earth observations including remote sensing of natural resources, weather and environmental monitoring, etc. SAC is also a host institution for the training programs related to Satellite Communication and Meteorology activities of the Centre for Space Science & Technology Education in Asia and the Pacific (CSSTEAP) affiliated to the United Nations (UN).
IEEE Geoscience and Remote Sensing Society provides research and expert interaction opportunities and access to information on the theory, concepts, and techniques of science and engineering as they apply to the remote sensing of the earth, oceans, atmosphere, and space, as well as the processing, interpretation and dissemination of this information. IEEE GRSS has established six local chapters in India namely Ahmedabad, Bangalore, Bombay, Delhi, Hyderabad and Kolkata (http://www.grss-ieee.org/community/chapters/). For membership, please follow the site at https://www.ieee.org/membership.
NASA-ISRO Synthetic Aperture Radar (NISAR) is being developed jointly by JPL/NASA and ISRO. While ISRO is developing S-band SAR, NASA/JPL is working for the development of L-band SAR. The L- and S- band SAR data from this satellite would be useful for a variety of applications including soil moisture and crop monitoring (https://nisar.jpl.nasa.gov/; http://www.sac.gov.in/nisar/). Thus, it is appropriate to create awareness on the use of SAR for soil moisture and crop monitoring using available SAR data from various missions.
Soil Moisture Active Passive (SMAP) is an American environmental research satellite launched on 31 January 2015. SMAP is designed to measure soil moisture over a three-year period, every 2-3 days. This permits changes, around the world, to be observed over time scales ranging from major storms to repeated measurements of changes over the seasons.(https://smap.jpl.nasa.gov/)
Dr. Shiv Mohan (firstname.lastname@example.org)
Dr. Anup Kumar Das (email@example.com)
Project name: GRSS Student Grand Challenge
Proposed by: Adriano Camps Contact name: David Kunkee
Project description: This proposal is for a one and a half year project intended to engage students and young professionals in solving a complex engineering problem within the scope of GRSS and other sister societies (e.g., Aerospace and Electronic Systems, Antenna Propagation, Ocean Engineering, Computer, Microwave Theory and Techniques). Student chapters DO NOT have to be formed at the time of submitting the proposal, but if selected, they commit to form it before the end of the current year. The “grand challenge” is to design and implement an end-to-end observing system based on drones or RPAS to address a problem linked to strategic themes like the observation of the polar regions, precision farming, forest monitoring, desertification. This should include the definition of the problem to be addressed, the techniques that will be used, the instrument concept that will be implemented, the data storage/transmission system AND an smart phone app to display the results interactively.
Important dates: - May 15, 2018: teams willing to participate must send a brief description of their mission concept (< 10 pages), indicating: team description, feasibility study of the proposed mission concept, budget proposal (budget can be higher than 6K$, but GRSS request must be less than 6K$). If the proposing team is not yet part of an already established GRSS Student Chapter, it is important that commitment to form a new Chapter by the end of 2018 be included in the proposal. Proposals should be sent to David Kunkee (firstname.lastname@example.org). - June 15, 2018: announcement of the 5 selected teams. Selected teams will receive 6K$ to implement the system, and to travel to attend IGARSS 2019 in Yokohama (Japan) to present their results in a dedicated oral half session.
Awards and Achievements
CIS Membership promotion Grant - $200 (2016)
CIS Student Chapter - $ 200 (2016)
CIS Outstanding Chapter Award - $2500 (2017)
CIS Activity promotion grant - $300 (2017)
GRSS Grant on Special Fund - $3000 (2017)
CIS Outstanding Chapter Award - $2500 (2013)
- IEEE CIS Distinguished Lecturer Program, Talk on “Evolution of Neural Networks”, By Distinguished speaker Prof. Risto Miikkulainen, @ IBM Hyderabad, 14 Dec 2017
Second John McCarthy Memorial Lecture by Prof. Raghu Krishnapuram, Fellow IEEE
Topic: Recent developments in Artificial Intelligence and Potential Applications
Abstract : In the recent past, many areas of artificial Intelligence (AI) such as machine learning and deep learning have seen developments at a breakneck speed. Major IT firms are investing heavily in these areas to gain a strategic advantage. This intense competition has resulted in many novel AI technologies, which are being incorporated into a plethora of applications in a variety of domains. This talk will provide an overview of the hype and reality behind the recent claims by the AI community, and outline its potential use in a variety of domains. Deep learning techniques are capable of making sense out of large volumes of disparate data, and (deep) reinforcement learning can deal with complex control and planning scenarios. Therefore, in combination, these techniques can be used to address many real world challenges.
First Richard Moore Memorial Lecture by Dr. Paul A. Rosen, JPL, NASA and Fellow IEEE
Topic: Innovations in synthetic aperture radar: past, present and future
Abstract : The age ofspaceborne radar remote sensing was born in 1978 with the launch of SEASAT, an experimental satellite carry an array of microwave instruments − a radiometer, an altimeter, and a synthetic aperture radar. SEASAT demonstrated in its short lifespan theuniqueness and utility of radar’s all−weather day/night capabilities and led to a sustained and accelerating international growth in the number and variety of radar instrumentsthat are orbiting Earth and the planets. Unlike optical sensors, radarsees the electrical and structural properties of an object and therefore give us a view of worlds that is quite different from our everyday experience.
With wavelengthsthatspan a range from millimetersto kilometers, radars can scatterfrom ice crystals in clouds as well as penetrate deep into ice crusts of planetary objects. Spacefaring nations consider Earth imaging radar to be critical to theirscientific and operational needs, and a growing number of systems are being launched around the world. The volume of radar data being acquired of
Earth is growing rapidly as the benefits of continuous time−series around the globe are becoming apparent.
Sophisticated techniques in change detection and quantitative geodesy using interferometric and polarimetric methods are revolutionizing the fields of solid earth science, glaciology, and ecosystems science, among others. Radar altimeters operationally measure ocean topography,mm−wavelength radarsounders profile cloud and precipitation, and scatterometers determine oceanwinds.
These data are becoming essential climate records, with a scientific imperative for continuing measurements. With the availability of low−cost space−qualified digital hardware,radars are becomingmore flexible,more capable, and less expensive per unit area observed. Along with the standardization of cubesats and smallspacecraG, many companies are now planning dense constellations ofradarsatellites to feed the growing commercial market for radar imagery. In addition to facility−class missions are becoming more capable and flexible collecting petabytes of data each year. This will only grow in the future. In this talk, an overview of the major developments in spaceborne radar systems will be presented, highlighting the intersections of science and innovation in spaceborne radar developments, including some of the most interesting science and technology achievements obtained over the years, and describe upcoming initiatives that support future directions in Earth and planetary observations.
Webinar on “The Social and Ethical Implications Of Computational Intelligence”
Computational Intelligence Society (CIS) is organizing a webinar and please find the details below.
Webinar Speaker: Dr Matt Garratt, University of New South Wales
Webinar Title: The Social and Ethical Implications Of Computational Intelligence
Date: Thu, May 17, 2018 1:30 PM - 2:30 PM IST
Registration link: https://attendee.gotowebinar.com/register/2071141647237678337
Abstract: Computational Intelligence (CI) is a term encompassing a basket of soft-computing methodologies used to solve problems that are not suited to solution by mathematical or other traditional methods. CI techniques include technologies such as fuzzy logic, artificial neural networks, deep learning, evolutionary computation and cognitive and developmental systems. Today, CI techniques are embodied within many technologies ranging from autonomous driverless cars to automated decision making on the stock exchange. These technologies already have a significant positive effect on the global economy and when used properly can greatly enhance the lives of many people. There are however risks with misuse of CI. In this webinar, we will discuss what the moral principles should be that govern the behaviour of CI technology, as well as the designer. These principles cover balancing the ecological footprint of technologies against the economic benefits, managing the impact of automation on the workforce, ensuring privacy is not adversely affected and dealing with the legal implications of embodying CI technologies in autonomous systems.
Speaker Bio: Matthew A Garratt received a BE degree in Aeronautical Engineering from Sydney University, Australia, a graduate diploma in applied computer science from Central Queensland University and a PhD in the field of biologically inspired robotics from the Australian National University in 2008. Prior to entering academia, Matt worked as an engineer in the Royal Australian Navy for a decade. Some of his research successes include demonstration of terrain following using vision for an unmanned helicopter, landing an unmanned helicopter onto a moving deck simulator and control of helicopters using neural networks. Some of his current research projects include achieving autonomous flight in cluttered environments using monocular cameras and range sensors, landing UAVs on moving platforms, adaptive flight control for flapping wing and rotary wing vehicles, trusted human-autonomy teaming in teleoperations and self-organising Unmanned Systems in contested RF environments. He is an Associate professor with the School of Engineering and Information Technology (SEIT) at the University of New South Wales, Canberra. Matt is currently the Deputy Head of School (Research) in SEIT and is the chair of the Computational Intelligence Society task force on the Ethics and Social Implications of CI. His research interests include sensing, guidance and control for autonomous systems with particular emphasis on biologically inspired and Computational Intelligence approaches.
- Field visit to Zen Technologies Date and Time : Saturday, 17 March 2018, 10:00am Venue: Zen Technologies, Sanath Nagar, Hyderabad. Map https://goo.gl/maps/dyA5AHWV1cq Contact: Dr. Mousmi Ajay Chaurasia, +91-91601-46701, email@example.com
- Two-day Tutorial on ” Machine Learning and Evolutionary Optimization - Foundations, Recent Trends and Future Challenges” by Prof. Swagatam Das, Indian Statistical Institute (ISI), Kolkatta @Dept. of CSE, JNTUH College of Engineering, Hyderabad. Date and Time : Saturday-Sunday, 24-25 March 2018, 9:00 am to 4:00 pm Register here Venue: JNTUH, Kukatpally Hyderabad. Map https://goo.gl/maps/xff64HQzQ9S2 Contact: Dr. Mousmi Ajay Chaurasia, +91-91601-46701, firstname.lastname@example.org
- A Distinguished Lecturer Event on “Statistical Information Theory and Geometry for SAR Image Analysis” By Prof. Alejandro C. Frery, Universidade Federal de Alagoas, Maceió, Brazil @NRSC Date and Time : Friday, 9th February 2018, 10:30 am to 12:00 noon Venue: National Remote Sensing Centre, Balanagar, Hyderabad. Map https://goo.gl/maps/cHCR6gwXmNK2 Coordinator: NESA President, Shri. C.V. Srinivas email@example.com
4. A Distinguished Lecturer Event on “Statistical Information Theory and Geometry for SAR Image Analysis” By Prof. Alejandro C. Frery, Universidade Federal de Alagoas, Maceió, Brazil @MEC Date and Time : Thursday, 8th February 2018, 04:30 pm to 05:45 pm Venue: Mahindra Ecole Centrale, Hyderabad. Map https://goo.gl/maps/6dkew98CJYD2 Coordinator: Dr. Arya Bhattacharya, Dean R&D, firstname.lastname@example.org
- A Distinguished Lecturer Event on “Statistical Information Theory and Geometry for SAR Image Analysis” By Prof. Alejandro C. Frery, Universidade Federal de Alagoas, Maceió, Brazil @UoH Date and Time : Thursday, 8th February 2018, 10:30 am to 12:00 noon Venue: Raman Auditorium, University of Hyderabad, Hyderabad. Map https://goo.gl/maps/tUJYUc1zAJA2 Coordinator: Mr. Prasad B, email@example.com
2. Autonomous Car – A New Driver for Resiliency and Testability by Dr. Nirmal Saxena, Distinguished Engineer NVIDIA and Fellow IEEE @UOH
Date and Time: Monday, 08th January 2018 Timing: 11:00 AM to 12:30 PM
Venue: CMSD Seminar Hall University of Hyderabad, Gachibowli, Hyderabad Map https://goo.gl/maps/tUJYUc1zAJA2 Coordinator: Prof. Atul Negi, UOH, Immediate Past Chair, IEEE CIS firstname.lastname@example.org
- Autonomous Car – A New Driver for Resiliency and Testability by Dr. Nirmal Saxena, Distinguished Engineer NVIDIA and Fellow IEEE @MJCET
Date and Time: Sunday, 07th January 2018 Timing: 3:00 PM to 4:30 PM Venue: Conference Hall, Ground Floor, Block-5 Muffakham Jah College of Engg. & Tech., Road no 3, Banjara hills, Hyderabad. Map https://goo.gl/maps/h83cW1cbVaS2 Coordinator : Dr. Mousmi Ajay Chaurasia, IEEE MJCET CIS Chapter Advisor, email@example.com,
|23||An Expert Talk on MINING FOR MEDICAL EXPERTISE @Saint Francis on 28-12-2017 10:30|
|22||Social Evening with distinguished speaker Prof. Risto Miikkulainen – @ Vivanta by Taj Begumpet, Hyderabad.|
|21||Repeat of the DL talk “Evolution of Neural Networks” by distinguished speaker Prof. Risto Miikkulainen – @ Gokaraju Rangaraju Institute of Engineering and Technology, Kukatpally, Hyderabad.|
|20||Repeat of the DL talk “Evolution of Neural Networks” by Distinguished speaker Prof. Risto Miikkulainen – @ International Business Machines-India, Building 3, Raheja Mindspace , IBM corporation, Hyderabad.|
|19||IEEE CIS Distinguished Lecture on “Evolution of Neural Networks” by Distinguished speaker Prof. Risto Miikkulainen – @ International Institute of Information Technology, Hyderabad, Telangana India|
|18||Workshop on Differential Evolution - Concepts, Implementation and Applications @MEC 29-11-2017 14:30|
|17||Workshop on Differential Evolution - Concepts, Implementation and Applications @MEC 29-11-2017 09:30|
|16||Social Evening with IEEE GRSS DL Dr. Ramapriyan @Vivanta By Taj 28-11-2017 19:30|
|15||IEEE GRSS Distinguished Lecturer program @IIIT Hyderabad 28-11-2017 14:30|
|14||IEEE GRSS Distinguished Lecturer program @NRSC 27-11-2017 11:30|
|13||Felicitation of Prof. B.L. Deekshatulu for outstanding support to GRSS @NRSC 27-11-2017 11:30|
|12||Richard Moore Memorial Lectures @NRSC 21-11-2017 11:30|
|11||Social evening - Discussion on promoting geoscience and remote sensing - way ahead followed by dinner @ Vivanta by Taj, 20-11-2017 19:00|
|10||Renaissance in Radar Applications: Vision for Earth and Beyond @IIIT Hyderabad 20-11-2017 15:00|
|9||John McCarthy Memorial Lecture 2017 @Osmania University 18-11-2017 10:00|
|8||Workshop on Game theory with applications to Security @MJCET 06-10-2017 09:30|
|7||Technical Talk on Improved GA for Channel Allocation in Mobile Computing @UOH 21-09-2017 15:00|
|6||Technical Talk on Social Implications of Technology @NRSC 15-09-2017 11:00|
|5||A Tutorial Talk on Applications of Fuzzy Logic using MATLAB @MJCET 30-08-2017 09:30|
|4||Felicitation of Prof. Kalyanmoy Deb @ IDRBT 22-08-2017 11:00|
|3||Workshop on Hadoop Basics & Advanced @SRIT Ananthpur 28-07-2017 11:00|
|2||Seminar on Convolutional Neural Networks and Deep Machine learning @IIIT Hyderabad 26-07-2017 15:00|
|1||Workshop on Hadoop Basics @IIT Hyderabad 08-04-2017 09:00|
Felicitation of Prof. Kalyanmoy Deb @ IDRBT Fellow IEEE
CIS Outstanding Supporter Award 2017
Prof. Sameen Fatima, Principal, UCE, Osmania University receiving the award @ CSE Department, Osmania University on 18 Nov 2017
Dr. Kavitha, Assistant Professor & Addl.Controller of Examinations, CSE, JNTU Hyderabad receiving the award @ CSE Department Osmania University on 18 Nov 2017
GRSS Outstanding Supporter Award 2017
Prof. B.L. Deekshatulu, Life Fellow IEEE receiving the award @ NRSC on 27 Nov 2017
To be announced later.
Call for Volunteers
Volunteers are the blood line of the chapter. As a volunteer you play a key role in shaping the future of this chapter. You will get an oppurtunity to horn your leadership qualities and skills through organizing events and interactions with fellow members in our community. You will be the first to know latest happennings in your area of work or expertise. You will get oppurtunities to colloborate with top notch professionals working in the field of computational intelligence and geospatial technologies both from the industry and academia. Come join us and get the best out of yourself.