Shitala Prasad CYSREN@NTU, 50 Nanyang Ave, Singapore 639798

 (+65)-8457-1810, (+91)-9415323969 https://sites.google.com/site/shitalap1/

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 [email protected]/[email protected]

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|  https://sg.linkedin.com/in/shitala-prasad-7596161a

|  shitala.prasad1

”Be the change that you want to see in the world.”

Education IIT (Indian Institute of Technology)

Roorkee, INDIA

PH.D. IN COMPUTER SCIENCE AND ENGINEERING

July 2011 - Feb. 2016

• Title: ”Mobile Vision System for Plant Leaf Analysis”

IIIT (Indian Institute of Information Technology)

Allahabad, INDIA

M.TECH. IN HUMAN COMPUTER INTERACTION

July 2009 - July 2011

• Title: ”Detection of Crop Diseases in Fruits and Vegetables Using Plant Leaf Image Dataset” • Got third position in HCI.

CET IILM-AHL (College of Engineering and Technology) B.TECH. IN COMPUTER SCIENCE

Greater Noida, INDIA July 2005 - July 2009

• Honours and Got first position.

St.Joseph’s School

Sonbhadra, INDIA

HIGH SCHOOL AND INTERMEDIATE

2003 & 2005

• Honours and NTPC merit scholarship.

Experience CYSREN (Cyber Security Research Centre)

NTU, Singapore

RESEARCH FELLOW (RF)

Nov. 2016 - Present

• Text spotting.

GREYC, Université de Caen Normandie

Caen, France

POST DOCTORAL FELLOW (PDF)

Agu. 2015 - Aug. 2016

• Mobile Image Aestheticness and Interestingness assessment for Android devices. • Mobile imaging, powering end-users with the free use of mobile multimedia (Image-Audio-Video) and storage.

Extracurricular Activity CSI Haridwar Chapter,

CloudSim and CloudAnalyst

GurukulKangri

ASSISTED WORKSHOPS

11th Oct. 2014

• Introduction class to CloudSim and CloudAnalyst with hands-on practicals.

Wireless Networks in NS-2

BIT Noida

ASSISTED WORKSHOPS

23rd Sep. 2013

• Hands-on practicals on NS-2 and network behavioral analysis.

IEEE Membership

Annual Membership

MEMBER

2018

• Gained knowledge about several research group study. • Gained expertise in research analysis.

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Membership

Annual Membership 2018

• • • • • • •

IEEE Systems Council IEEE Biometrics Council IEEE Young Professionals IEEE Internet of Things Community IEEE Computational Intelligence Society IEEE Cloud Computing Community IEEE Signal Processing Society

Student Organizer CONFERENCE

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• IHCI 2010 at IIIT Allahabad, India • IITM 2011 at IIIT Allahabad, India • RAECE 2015, at IIT Roorkee, India

Program Committee CONFERENCE

• • • •

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5th ICACNI-2017 at NIT Goa. 7th ICISA2016 Vietnam TENCON 2016 & Session Chair TENCON 2017 11th BIOSIGNALS 2018

Honors & Awards

INTERNATIONAL

2016-18 CYSREN Fellowship, Research Fellow, NTU Singapore 2015-16 CNRS Fellowship, Post Doctoral Fellow, GREYC 2015

IEEE CIS, Young Researcher Award 2015 in Computational Intelligence. Awarded in 2017.

Singapore Caen, France IIT Kanpur, India

DOMESTIC 2011-15 MHRD Fellowship, Doctor of Philosophy (Ph.D.) 2013

Dr. Anjali Sardana Goodluck Scholarship, For ICIIP 2013

2013

Microsoft Research Scholarship, For SSCI 2013, Singapore

2009-11 MHRD Fellowship, Masters in Technology (M.Tech.)

IIT Roorkee, India India MSR India IIIT Allahabad, India

2008-09 First, College Merit Award

Gr. Noida, India

2007-08 First, College Merit Award

Gr. Noida, India

2006-07 Second, College Merit Award

Gr. Noida, India

2008

Qualified, GATE 2008

2007

Second, Paper Presentation at IILM

Gr. Noida, India

2006

Third, Project Presentation at IILM

Gr. Noida, India

India

2005-09 First, In B.Tech. department of CSE at IILM, Greater Noida

Gr. Noida, India

Area of Interest & Skills Research Field • • • • •

Pattern Recognition and Machine Learning Image Processing, Mobile Imaging & Vision Mobile-Cloud Computing (MC2) Human Robot Interaction (HCR) Biometrics & Biomedical Imaging

Key Skills • Programming Languages: C, C++, Java, Matlab, Android, Python • Web Related: PHP, WAMP • Libraries Explored: Caffe, BGI (Turbo C++), GDI+ (visual studio), OpenGL (Graphics), OpenCV, JavaCV

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Projects Efficient Artistic Image-Video Style Transfer

NIT Goa

SELF

2014-16

• Today, the world is fully digitized and image stylization becoming interesting part of research dealing with oil paintings, colorinzation, cartoons, etc. In image style transfer, the information of some images can be perceptually enhanced like color transfer enhances the details of a grayscale image. Matlab is used for implementation without any deep neural network tools.

Handwritten Signature Based Human Psychology Prediction using Time Series Analysis SELF

Roorkee, India 2014

• In this, human signatures are used to perform user identification and signature verification. The time series technology is used here for spatial to frequency conversion which is analyzed using min-max DST co-efficient. The co-efficient are used for classification using k-NN classifier. The analysis also results in human signature sub-classification predicting the mental state of human while he/she was signing. With a great success the task was completed but needs more enhancements. Matlab and WEKA tools are used for this study. Brain Tumor Segmentation and Visualization in 3D Volumetric Data Roorkee, India SELF

2013

• Improved automated region growing approach to detect brain tumor from a volumetric FLAIR MR images. This project focuses on multiple thresholding techniques to obtain suitable seed points for region grow algorithm to accurately segment the tumor and visualize it in a 3D volume. VTK and ITK are used to process the data and hand data glove is used to interact with it. A Mobile Vision System for Palmistry Winner, Allahabad, India SELF

2013

• An automated intelligent mobile vision based technique for extracting principal lines from colored images of human palm to predict the personality of users. A robust and efficient algorithm is designed to work on low processing devices such as mobile phones with low resolution camera. A mobile client-server architecture is involved in this project. A Mobile Application to Identify Plant Species and Diseases using Leaf Image Dataset IIT Roorkee, India SURA PROJECT – 2012

2012

• Most of the diseases in plants have their visual effect on leaves- changes in color, spots formation, and variation in shape and in patterns of vein diagram, etc. The project focuses to match the image of the test leaf with the dataset collection by using several feature extraction and matching algorithms (Gabor Wavelet Transform (GWT) and Support Vector Machine respectively).

Control of Computer Process using Computer/Mobile Vision for Low-Processing DevicesA Smart Classroom DR. P. SATEESH KUMAR & PROF. DEBASHIS GHOSH (GUIDE)

IIT Roorkee, India 2011

• Presenting an automated intelligent computer vision based HCI system to control and interact without skin- color MAP algorithm to detect motion with more accurate and more natural and efficient way. The experiment involves a very simple mathematics for color tolerance and for motion detection used a trigonometric concept further for action performance based on the gesture definition to compute on low-computing machine such as mobile devices. Here, hand gesture is used to operate presentation by the presenters for easiness while presenting in front of a large gathering and practically sounds good in performance.

Detection of Crop Diseases in Fruits and Vegetables Using Image Database and Gesture Technique PROF. R.C. TRIPATHI (GUIDE)

IIIT Allahabad, India 2010-11

• Implementing Detection of crop diseases in fruits and vegetables using image database is a technique used to improve the agriculture and its products using IT in it. It has two sets of database one is used to train the classifier and the other one is used to test the classifier. Based on the image database the diseases are classified and their detailed information is provided to the user. Satellite View of IIITA on Globe IIIT Allahabad, India PROF. ANUPAM AGGARWAL (GUIDE)

2010

• The project aimed at making a graphics to show the satellite view of the IIITA as it looks on the globe. It is used to know the detailed information about the IIIT and the more IIITA. It mainly focused on the use of 3D graphics library, OpenGL. Face Detection and Recognition Attendance System CET IILM, India PROF. P.K. BHARTI, (GUIDE)

2009

• This project aimed on the attendance system using the face recognition techniques. A capturing device was used to capture the face of the faculties and the students and used to mark the attendance on the daily basics in respect to time. Currently, Prof. Bharti is Vice-Chancellor of Maharishi University of Information Technology, Lucknow WebOnCollege IILM CET IILM, India MS. MONA MANEY, (GUIDE)

2008

• This project was aimed to have a website for the college which has all the information in it with current updates. It also focused on the online attendance system for the students and the session or internal marks given to the students of that college. It uses ASP.Net with C#.

ATM Machine Software

CET IILM, India

PROF. P.K. BHARTI, (GUIDE)

2007

• This was a detailed study of ATM machine software and its working. It was aimed at having an online canteen bill payment form the student account in the college. The language used was java.

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Casio - C Graphics

CET IILM, India

SELF

2006

• Casio is a graphics project focusing mainly on the 2-D graphics. It used Turbo C.3.0 2-D graphics library to make a casio which is played by the use of the keyboard.

Various other projects SELF

• See my webpage.

Summer Training June-July 2007

NTPC, Rihand Nagar, 360 EMPLOYEE FEEDBACK FORM

Sonbhadra, India

Recommendations Prof. D. Ghosh

IIT Roorkee, India

PH.D. SUPERVISOR

2011 - Present

• Professor & Head, Electronics and Communication Engg., IIT Roorkee, India, 247667 E-mail: [email protected] /[email protected]

Dr. P. Sateesh Kumar

IIT Roorkee, India

PH.D. SUPERVISOR

2011 - Present

• Assistant Professor, Computer Science and Engg., IIT Roorkee, India, 247667 E-mail: [email protected]

Prof. Adams Wai Kin Kong

NTU Singapore

RF SUPERVISOR

2016 - Present

• Associate Professor, School of Science and Computer Engineering, NTU, Nanyang Avenue, Singapore, 639798 E-mail: [email protected]

Personal India HOME ADDRESS

• s/o Shri. Bhaggan Ram, House No. B-402, NH-5, NTPC Colony, Rihand Nagar, Bijpur, Sonbhadra, Uttar Pradesh, India - 231223 Singapore WORK ADDRESS

• Home - #08-129, Block 274, Toh Guan Road, 600274 Office - Cyber Security Lab (CSL), N4-B2c-06, School of Computer Science and Engineering, NTU, 50 Nanyang Ave, Singapore – 639798 Declaration Singapore SHITALA PRASAD

Nov. 2017

• I hereby declare that the information provided above is true to the best of my knowledge and belief.

Biography Shitala Prasad currently joined as Research Fellow (RF) at CYSREN@NTU Singapore working on text spotting and deep learning in cybercrime. Earlier, as a Post-Doctoral Fellow (PDF) at GREYC-Lab CNRS, University of Caen, France he worked on image astheticness computation. He received his Ph.D. from Indian Institute of Technology Roorkee (IITR), India in Computer Science and Engineering department. He has received his M.Tech. degree from Indian Institute of Information Technology Allahabad (IIITA), in Information Technology in year 2011 and B.Tech. degree in Computer Science in year 2009 from IILM, Greater Noida, India. He is specialized in Human Computer Interaction (HCI). His major research work interest is in Computer Vision, Gesture Recognition, Virtual and Augmented Reality, O/H Character Recognition. Along with this, he also works on Mobile Agro-Imaging in Cloud Computing for Android environment – Agriculture-as-a-Service (AaaS).

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Publications

SCI JOURNALS 2017

• Prasad, Shitala, Sateesh Kumar Peddoju, and Debashis Ghosh. ”An adaptive plant leaf mobile informatics using RSSC.” Multimedia Tools and Applications 76, no. 20 (2017): 21339-21363. • Prasad, Shitala, P. Sateesh Kumar, and Debashis Ghosh. ”An efficient low vision plant leaf shape identification system for smart phones.” Multimedia Tools and Applications 76, no. 5 (2017): 6915-6939. 2016

• Prasad, Shitala, Sateesh K. Peddoju, and Debashis Ghosh. ”Multi-resolution mobile vision system for plant leaf disease diagnosis.” Signal, Image and Video Processing 10, no. 2 (2016): 379-388. 2012

• Prasad, Shitala, Gyanendra K. Verma, Bhupesh Kumar Singh, and Piyush Kumar. ”Basic handwritten character recognition from multi-lingual image dataset using multi-resolution and multi-directional transform.” International Journal of Wavelets, Multiresolution and Information Processing 10, no. 05 (2012): 1250046.

IEEE MAGAZINE 2015

• Prasad, Shitala, Sateesh K. Peddoju, and Ghosh, D. Agriculture-as-a-Service. IEEE Potentials, 2015. (Accepted, in press). (Impact factor: 0.34)

NON-SCI JOURNALS 2017

• Prasad, Shitala and Shikha Gupta, ”Volumetric Tumor Detection Using Improved Region Grow Algorithm”, International Journal of Computational Systems Engineering, (2017), Inderscience. (Accepted, in press) 2014

• Mehta, Aditya, Shitala Prasad, and Sateesh K. Peddoju. Mobile Vision System for Palm Principal Lines’ Features Extraction. International Journal of Information (2014), pp. 1-10. 2013

• Prasad, Shitala, Sateesh K. Peddoju, and Debashis Ghosh. ”AgroMobile: a cloud-based framework for agriculturists on mobile platform.” International Journal of advanced science and technology 59 (2013): 41-52. 2012

• Kumar, Piyush, Jyoti Verma, and Shitala Prasad. ”Hand data glove: a wearable real-time device for human-computer interaction.” International Journal of Advanced Science and Technology 43 (2012). 2010

• Prasad, Shitala, Vivek Kumar Singh, and Akshay Sapre. ”Handwriting analysis based on segmentation method for prediction of human personality using support vector machine.” International Journal of Computer Applications 8, no. 12 (2010): 25-29. • Kumar, K. Susheel, Shitala Prasad, Santosh Banwral, and Vijay Bhaskar Semwal. ”Sports video summarization using priority curve algorithm.” International Journal on Computer Science & Engineering 2, no. 9 (2010): 2996-3002.

BOOK CHAPTER 2017

• Prasad, Shitala. ”Mobile Vision for Plant Biometric System.” In Ubiquitous Machine Learning and Its Applications, pp. 15-38. IGI Global, 2017.

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INTERNATIONAL CONFERENCES 2017

• Prasad, Shitala, and P. P. Singh. ”Medicinal Plant Leaf Information Extraction Using Deep Features.” In IEEE TENCON 2017, 5-8th Nov., 2017, Penang, Malaysia. (Accepted, in press) • Prasad, Shitala, Peddoju, S. K., and Ghosh, D., ”Efficient Plant Leaf Representations: A Comparative Study.” In IEEE TENCON 2017, 5-8th Nov., 2017, Penang, Malaysia. (Accepted, in press) • Piyush Kumar, A. Agarwal, and Prasad, Shitala. ”Multimodel Interface for Temporal Pattern Based Interactive Large Volumetric Visualization.” In IEEE TENCON 2017, 5-8th Nov., 2017, Penang, Malaysia. (Accepted, in press) • Pankaj P. Singh, B. Das, U. Poddar, Dibarun R. Choudhury and Prasad, Shitala. (September, 2017). ”Classification of diabetic’s patient data using machine learning techniques.” In 2nd International Conference on Recent Advancements in Computer, Communication and Computational Sciences (RACCCS) 2017, Sept. 2017, India. Springer. (Accepted, in press) • W. Seema, Keshavamurthy B. N., and Prasad, Shitala. Semi-supervised Model for Feature Extraction and Classification of Fashion Images. In 26th International Conference on Artificial Neural Networks (ICANN), 2017, 11-15 September 2017, Alghero, Sardinia, Italy. • Prasad, Shitala, and Pankaj P. Singh. ”Vision System for Medicinal Plant Leaf Acquisition and Analysis.” In Applications of Cognitive Computing Systems and IBM Watson, pp. 37-45. Springer, Singapore, IBM Bangalore2017. 2016

• Prasad, Shitala, and B. N. Keshavamurthy. ”An efficient artistic image-video transfer approach.” In 2016 23rd International Conference on Mechatronics and Machine Vision in Practice (M2VIP), pp. 1-4. IEEE, China 2016. 2015

• Prasad, Shitala, Piyush Kumar, and Kumari Priyanka Sinha. ”Grayscale to color map transformation for efficient image analysis on low processing devices.” In Advances in Intelligent Informatics, pp. 9-18. Springer, Cham, 2015. India 2014

• Gupta, Shruti, and Shitala Prasad. ”Human-Signature Psychology Relation: A Time-Series Analysis.” In Proceedings of the 2014 International Conference on Information and Communication Technology for Competitive Strategies, p. 2. ACM, 2014. India • Prasad, Shitala, Sateesh K. Peddoju, and Debashis Ghosh. ”Mobile Mixed Reality Based Damage Level Estimation of Diseased Plant Leaf.” In 2014 Eighth International Conference on Next Generation Mobile Apps, Services and Technologies (NGMAST), pp. 72-77. IEEE, 2014. Oxford • Prasad, Shitala, Piyush Kumar, and Kumari Priyanka Sinha. ”A wireless dynamic gesture user interface for HCI using hand data glove.” In 2014 Seventh International Conference on Contemporary Computing (IC3), pp. 62-67. IEEE, 2014. India • Prasad, Shitala, Sateesh K. Peddoju, and Debashis Ghosh. ”Energy efficient mobile vision system for plant leaf disease identification.” In 2014 IEEEWireless Communications and Networking Conference (WCNC), pp. 3314-3319. IEEE, 2014. Turkey 2013

• Prasad, Shitala, Sateesh K. Peddoju, and Debashis Ghosh. ”Mobile plant species classification: a low computational aproach.” In 2013 IEEE Second International Conference on Image Information Processing (ICIIP), pp. 405-409. IEEE, 2013. India • Prasad, Shitala, Sateesh K. Peddoju, and Debashis Ghosh. ”Unsupervised resolution independent based natural plant leaf disease segmentation approach for mobile devices.” In Proceedings of the 5th IBM Collaborative Academia Research Exchange Workshop, p. 11. ACM, 2013. IBM Delhi • Mehta, Aditya, Shitala Prasad, and Sateesh K. Peddoju. ”Improved Connected Region Based Approach for Extraction of Principal Lines from Palm Images.” In Proceedings of Elsevier International Conference of Image and Signal Processing, pp. 104-111. 2013. India. Best Paper • Prasad, Shitala, Sateesh K. Peddoju, and Debashis Ghosh. ”Mobile augmented reality based interactive teaching & learning system with low computation approach.” In 2013 IEEE Symposium on Computational Intelligence in Control and Automation (CICA), pp. 97-103. IEEE, 2013. Singapore 2012

• Prasad, Shitala, Piyush Kumar, Ranjay Hazra, and Ajay Kumar. ”Plant Leaf Disease Detection Using Gabor Wavelet Transform.” In SEMCCO, pp. 372-379. 2012. India • Prasad, Shitala, Abhay Prakash, Sateesh Kumar Peddoju, and Debashis Ghosh. ”Control of computer process using image processing and computer vision for low-processing devices.” In Proceedings of the International Conference on Advances in Computing, Communications and Informatics, pp. 1169-1174. ACM, 2012. India. Best Paper

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2011

• Prasad, Shitala, Piyush Kumar, and Anuj Jain. ”Detection of disease using block-based unsupervised natural plant leaf color image segmentation.” Swarm, Evolutionary, and Memetic Computing (2011): 399-406. India • Prasad, Shitala, Piyush Kumar, and R. C. Tripathi. ”Plant leaf species identification using curvelet transform.” In 2011 2nd International Conference on Computer and Communication Technology (ICCCT), pp. 646-652. IEEE, 2011. India • Verma, Gyanendra K., Shitala Prasad, and Piyush Kumar. ”Handwritten Hindi Character Recognition Using Curvelet Transform.” In Information Systems for Indian Languages, pp. 224-227. Springer, Berlin, Heidelberg, 2011. India • Verma, Gyanendra K., Shitala Prasad, and Gohel Bakul. ”Robust face recognition using curvelet transform.” In Proceedings of the 2011 International Conference on Communication, Computing & Security, pp. 239-242. ACM, 2011. India • Prasad, Shitala, Krishna Mohan Kudiri, and R. C. Tripathi. ”Relative sub-image based features for leaf recognition using support vector machine.” In Proceedings of the 2011 International Conference on Communication, Computing & Security, pp. 343-346. ACM, 2011. India 2010

• Kumar, K. Susheel, Shitala Prasad, Pradeep K. Saroj, and Ramesh Chandra Tripathi. ”Multiple cameras using real time object tracking for surveillance and security system.” In 2010 3rd International Conference on Emerging Trends in Engineering and Technology (ICETET), pp. 213-218. IEEE, 2010. India

NATIONAL CONFERENCES 2016

• Prasad, Shitala, Sateesh K. Peddoju, and Debashis Ghosh. ”Mask Region Grow segmentation algorithm for low-computing devices.” In 2016 Twenty Second National Conference on Communication (NCC), pp. 1-6. IEEE, 2016. India 2015

• Prasad, Shitala, Peddoju, S. K., and Ghosh, D. AgroMobile: A Third Eye for Agriculturists of India. In 9th Uttarakhand State Science and Technology Congress 2014-15. 26-28th February, 2015, Dehradun, India

COMMUNICATED

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