LEAD DATA SCIENTIST (COMPUTER VISION AND RESEARCH)
ASSOCIATION FOR COMPUTING MACHINERY, NEW YORK, USA
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I take keen interest in researching with Computer Vision, Machine Learning and Deep Learning. My interest areas include Content Based Image Classification, Retrieval, Fusion Based Recognition, Classification and Retrieval of Medical Images, Deep Neural Networks (Supervised and Unsupervised). I am open to new research ideas and collaborative research work with a strong thrust on real time applications.
IN MEDIA AND NEWS
INTELLECTUAL PROPERTY RIGHTS
LOW POWER AND HIGH SPEED FLOATING POINT DIVIDER
The present invention describes custom designed Floating Point Divider algorithm according to IEEE-754 standard 32-bit single precision format using Verilog on Xilinx ISE 13.2. The salient feature of the proposed methodology is its simplicity and elegance in evaluating the mantissa and the exponent, yielding better computational speed, better power efficiency and consequently enhancing
the performance of the processor having this floating point divider scheme. For the computation of the sign part of the division, the
traditional method have been used. Hence the core objective is to integrate this suggested scheme of the floating point divider on FPGA using Verilog Hardware Description Language and to ascertain our claim of its being fast, effective and power efficient
simultaneously. Most specifically, the system is configured with five ports which are also consisting of four input and one output ports. The first two input ports intakes two numbers in IEEE-754 standard 32-bit single precision format as DIVIDEND and DIVISOR to be operated in division process and to produce the desired quotient (RESULT) consequently. The other two inputs CLOCK and RESET are utilized to synchronize as well as to reset and restart the system respectively. The divider will be implemented through FPGA board and the hardware a reconfigurable structure along with its economic benefits while also maintaining a competent clock
speed and a reasonable amount of low power consumption. Consequently, this developed arrangement upholds the dual advantage of superior output generation speed while keeping in mind the cost cutting obligations of the hardware system as well along with its capability to work in an environment with power constraints.
AN IMAGE FEATURE FUSION HARDWARE SYSTEM FOR FASTER CONVERGENCE OF CLASSIFICATION
The present invention describes an Image Feature Fusion Hardware System ( 3) for Faster Convergence of Classification which discloses a set of feature that is extracted from an image dataset using binarization and then the same image dataset is again exposed to morphological technique for feature extraction. More specifically the features have been concatenated to form a fused feature set and can be provided as input to a classifier for superior classification performance. The feasibility of the proposed technique is based on FPGA system. Two different image features are passed to the system and the system will normalize them to a certain scale and create a single ultimate feature. In an aspect of the invention, the Top-level block diagram that can interface with two features (Feature Set_1 and Set_2) with their respective input and will collect elements row-wise. The row-wise data will be saved into two different FIFO.
Based on the maximum and minimum value among the features, row-wise minimum and maximum value will be supplied to the
system. The system will accept inputs when accept pin will get a high value and when Accept _I/P pin input value is low the system
will start processing the data to get a single ultimate feature. After getting a single row value of both the features, the system will
normalize them to a certain scale and pass the data to decision making block to create a single ultimate feature. The decision making
block is again a FIFO which will concatenate both the normalized feature value, store them and pass them to output as single row-wise
feature. When the output will contain data values for further processing to other interfaces, the valid pin will produce high value as
acknowledgement of valid data otherwise it produce low value.
TECHNICAL PROGRAM COMMITTEE MEMBER AT 2020 FIFTH INTERNATIONAL CONFERENCE ON RESEARCH IN COMPUTATIONAL INTELLIGENCE AND COMMUNICATION NETWORKS
(ICRCICN - 2020)
RESEARCH PAPERS IN INTERNATIONAL JOURNALS AND INTERNATIONAL CONFERENCES AND AUTHORED / EDITED BOOKS
SCI/ SCI(E) PUBLICATIONS
Das, R., & Walia, E. (2019). Partition selection with sparse autoencoders for content based image classification. Neural Computing and Applications, Springer, 31(3), 675-690, Springer Verlag, doi:10.1007/s00521-017-3099-0, I.F.: 4.213, (Thomson Reuters JCR (2018))
Das, R., Thepade, S., & Ghosh, S. (2016). Framework for Content‐Based Image Identification with
Standardized Multiview Features. ETRI Journal, 38(1), 174-184.
http://dx.doi.org/10.4218/etrij.16.0115.0102 (Science Citation Indexed) I.F.: 1.116 (Thomson Reuters JCR (2016))
Thepade, S., Das, R., & Ghosh, S. (2016). Block truncation coding with color clumps: A novel feature
extraction technique for content based image classification. Sādhanā, 41(9), 939-958, Springer.
(Science Citation Indexed (Expanded), Scopus etc.) I.F.: 0.465 (Thomson Reuters JCR (2016))
Das, R., Thepade, S., & Ghosh, S. (2015). Multi technique amalgamation for enhanced information identification with content based image data. SpringerPlus, 4(1), 749, Springer.
EMERGING SOURCE CITATION INDEXED (ESCI) (WEB OF SCIENCE)
Thepade, S. D., Abin, D., Das, R., & Sarode, T. (2020). Human face gender identification using Thepade's sorted N-ary block truncation coding and machine learning classifiers. International Journal of Intelligent Engineering Informatics, 8(2), 77-94. (Web of Science Indexed, ESCI, DBLP and ACM Digital Library)
Thepade, S., Das, R., & Ghosh, S. (2017). Decision fusion-based approach for content-based image classification. International Journal of Intelligent Computing and Cybernetics, 10(3), 310-331, Emerald Publishing (Web of Science Indexed, ESCI and Scopus Indexed)
Das, R., Thepade, S., Bhattacharya, S., & Ghosh, S. (2016). Retrieval architecture with classified query for content based image recognition. Applied Computational Intelligence and Soft Computing, http://dx.doi.org/10.1155/2016/1861247, Hindawi Publishing Corporation , (Web of Science Indexed, ESCI etc.)
Thepade, S., Das, R., & Ghosh, S. (2014). A novel feature extraction technique using binarization of bit planes for content based image classification. Journal of Engineering, http://dx.doi.org/10.1155/2014/439218, Hindawi Publishing Corporation, (Web of Science Indexed, ESCI etc.)
SCOPUS INDEXED PUBLICATIONS
Thepade, S., Ketan, J., Sange, S. & Das, R (2020) Covid19 Identification from Chest X-RAY using Local Binary Patterns and Multilayer Perceptrons. Journal of Critical Reviews, 7 (19), 4277-4285. doi:10.31838/jcr.07.19.502 (Scopus Indexed)
Das, R., Arshad, M., Manjhi, P.K. & Mahanta, H.S. (2019). Melanoma Identification with Content Based Image Classification using Bit Plane Features. International Journal of Innovative Technology and Exploring Engineering, 8(12), (pp. 3746-3749), Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP) (Scopus Indexed)
Das, R., De, S. & Thepade, S. (2019). Machine Learning in Hybrid Environment for Information Identification with Remotely Sensed Image Data. In Transactions on Computational Science, Springer, Berlin, Heidelberg (Accepted). (Scopus Indexed)
Das, R., Thepade, S., & Ghosh, S. (2017). Novel feature extraction technique for content-based image recognition with query classification. International Journal of Computational Vision and Robotics, 7(1-2), 123-147, Inderscience Publishers (IEL) (Scopus Indexed)
Das, R., Thepade, S., & Ghosh, S. (2017). Decision Fusion for Classification of Content Based Image Data. In Transactions on Computational Science XXIX (pp. 121-138). Springer, Berlin, Heidelberg. (Scopus Indexed)
Thepade, S., Das, R., & Ghosh, S. (2015). A novel feature extraction technique with binarization of significant bit information. International Journal of Imaging and Robotics™, 15(3), 164-178, CESER Publications (Scopus indexed)
Thepade, S., Das, R., & Ghosh, S. (2015). Novel technique in block truncation coding based feature extraction for content based image identification. In Transactions on Computational Science XXV (pp. 55-76). Springer, Berlin, Heidelberg (Scopus Indexed)
• Das, R., De, S., & Singh, S.N. (2019). A Study of Recent Trends in Content Based Image Classification.
Intelligent Multimedia Data Analysis, 2, (pp. 65-94), De Gruyter, Germany.
• Das, R., Singh, S. N., Banerjee, M., Mayank, S., & Shashank, T. V. (2018). An Integrated Framework
for Information Identification With Image Data Using Multi-Technique Feature Extraction. In Feature
Dimension Reduction for Content-Based Image Identification (pp. 1-25). IGI Global
• Singh, S. N. & Das, R. (2018). Achieving Sustainable Development with Identification of Content
Based Remotely Sensed Image Data. In Leadership, Innovation and Management Education for a
Sustainable World, vol.-1, (pp. 127-140). Catholic Press, ISBN: 81-904112-1-7
OTHER INTERNATIONAL PUBLICATIONS
• Das, R., Thepade, S., & Ghosh, S. (2015). Content based image recognition by information fusion with multiview features. International Journal of Information Technology and Computer Science, 7(10), 61- 73, MECS Publishers , DOI: 10.5815/ijitcs.2015.10.08
SELECTED CONFERENCE PUBLICATIONS
Ganguly, A. Das, R., Setua, S. (2020, July). Histopathologival Image and Lymphoma Image Classification using Customized Deep Learning Models and Different Optimization Algorithms. In 2020 11th. International Conference on Computing, Communication and Networking Technologies (ICCCNT) , IIT Kharagpur (Accepted). IEEE. (Scopus Indexed)
Das, R., Arshad, M., Manjhi, P.K. & Thepade, S. (2020, July). Improved Feature Generalization in Smaller Datasets with Early Feature Fusion of Handcrafted and Automated Features for Content Based Image Classification. In 2020 11th. International Conference on Computing, Communication and Networking Technologies (ICCCNT) , IIT Kharagpur (Accepted). IEEE. (Scopus Indexed)
Das, R., Anurag, A., Jha, G.K. & Banerjee, M. (2020, October). Feature Dimension Reduction for Efficient Classification of Dermoscopic Images with Feature Fusion. In 2020, International Conference on Emerging Trends in Wireless Communication Technologies & Information Security (EWCIS) , Amity University, Jharkhand (Accepted). IEEE. (Scopus Indexed)
Das, R., Kumari, K., Manjhi, P. K., & Thepade, S. D. (2019, December). Ensembling Handcarafted Features to Representation Learning for Content Based Image Classification. In 2019 IEEE Pune Section International Conference (PuneCon) (pp. 1-4). IEEE. (Scopus Indexed)
Das, R., De, S., Bhattacharyya, S., Platos, J., Snasel, V., & Hassanien, A. E. (2019, March). Data Augmentation and Feature Fusion for Melanoma Detection with Content Based Image Classification. In International Conference on Advanced Machine Learning Technologies and Applications (pp. 712-721). Springer, Cham. (Scopus Indexed)
Mukherjee, D., Das, R., Majumdar, S., Ghosh, S., Thepade, S., & Basu, A. (2019). Energy Efficient Face Recognition in Mobile-Fog Environment. Procedia Computer Science, 152, 274-281. (Scopus Indexed)
Das, R., Ghosh, S., & Mukherjee, D. (2018, November). Bayesian Estimator Based Weather Forecasting using WSN. In 2018 3rd International Conference and Workshops on Recent Advances and Innovations in Engineering (ICRAIE) (pp. 1-4). IEEE. (Scopus Indexed)
Jadhav, S. R., Das, R., Thepade, S. D., & De, S. (2018, August). Applications of Hybrid Machine Learning for Improved Content Based Image Classification. In 2018 Fourth International Conference on Computing Communication Control and Automation (ICCUBEA) (pp. 1-6). IEEE. (Scopus Indexed)
Thepade, S. D., Sange, S., Das, R., & Luniya, S. Enhanced Image Classification with Feature Level Fusion of Niblack Thresholding and Thepade’s Sorted N-ary Block Truncation Coding using Ensemble of Machine Learning Algorithms. In 2018 IEEE Punecon (pp. 1-7). IEEE. (Scopus Indexed)
Thepade, S., Das, R. and Ghosh, S. (2013, December). Performance comparison of feature vector extraction techniques in RGB color space using block truncation coding for content based image classification with discrete classifiers. In India Conference (INDICON), 2013 Annual IEEE (pp. 1-6). IEEE, December 13-15, 2013, IIT Mumbai, India (Scopus Indexed)
Thepade, S. D., Das, R. & Ghosh, S. (2013, January). Image classification using advanced block truncation coding with ternary image maps. In Advances in Computing, Communication, and Control (pp. 500-509). Springer, Berlin, Heidelberg, Third International Conference, ICAC3 2013, January 18-19, 2013, Mumbai, India. (Scopus Indexed)
Kekre, H. B., Thepade, S., Das, R. K. K. & Ghosh, S. (2013, January). Multilevel Block Truncation Coding with diverse color spaces for image classification. In Advances in Technology and Engineering (ICATE), 2013 International Conference on (pp. 1-7). IEEE, January 23-25, 2013, Mumbai, India
• Das, R and Kumari, K. (2017). Recent Trends and Techniques in Content Based Image Classification, ISBN: 978-620-2-02937-7, LAP LAMBERT ACADEMIC PUBLISHING.
• Das, R, Thepade, S and Bhattacharya, S. (2016). Ingenious Image Data for Digital Age Customer Contentment, ISBN: 978-3-659-81864-6, LAP LAMBERT ACADEMIC PUBLISHING.
Invited Talk as ACM Distinguished Speaker on the Topic "Machine Learning Engineer to Machine Learning Scientist: A journey with Image Processing"organized by Yagoda Satsang Mahavidyalaya, Ranchi on September, 2020
Invited Talk as ACM Distinguished Speaker on the Topic "“Machine Learning for non-Coders:
Your turn to become a ML Expert” organized by ACM Chennai, IEEE Computer Society and Computer Society of India (CSI) on September, 2020
Invited Distinguished Technical Speaker for addressing Ph.D scholars on the topic 'A Systematic Approach towards Quality Research' at Dayanand Sagar University, Bengaluru on August, 2020
Invited Speaker on the topic "Unlearning to Self Learning: Acclimatizing Education 4.0" and and Guset of Honor at International Webinar organized at Sinhgad Institute of Management in Assocuation with Savitribhai Phile Pune University, XISS, Corporate Gurukul, Singapore, Happy Marketer, Singapore, BPB Publications on July, 2020
Invited Speaker on the topic "Has Deep Learning based approaches made Traditional Image Processing Irrelevant" during the Webinar organized by IEEE Students' Chapter, Pune and Dept. of Information Technology, PCET's Pimpri Chinchwad College of Engineering, Pune, India on 1st. June, 2020.
Invited Speaker on the topic "The New Normal: Exploring Innovation and Upskilling with e-Learning" at Faculty Development Program on E-Learning and Recent Trends in Electrical Engineering organized by Dept. of Electrical and Electronics Engineering, Amity University, Uttar Pradesh, India on 21st. May 2020.
Invited Speaker on the topic "Adopting Innovative Techniques for Imparting Education through e-Learning" at Confederation of Indian Industry (CII) Webinar series on Role of Higher Education in Nation Building in the Time of COVID-19, 6th. May 2020.
Resource person on the topic "Importance of Publishing in Quality Indexed Journal" during FDP arranged by Xavier Institute of Social Service Ranchi in Collaboration with IIT Kharagpur, 16th.January, 2020
Resource person on the topic "UNLEASHING THE INNOVATOR INSIDE: THE RESEARCH BEND" for the refresher course on Research Methodology arranged by UGC-Human Resource Development Centre, Ranchi University on 11th. January, 2020.
Invited speaker on the topic "Identity Theft in Cyber Space: Invading Privacy" at Confederation of Indian Industry (CII) Conclave, 19th. October, 2019
Invited speaker on the topic "Research Paradigms using Machine Learning" at MHRD Initiative under Pandit Madan Mohan Malviya National Mission on Teachers and Teaching organised by Dr. Shyama Prasad Mukherjee University, Ranchi and Hansraj College, University of Delhi, August, 2019.
Invited Speaker (AI and ML) at Teq-Tonic Meetup organized by Teqfocus Consulting LLC at Ranchi, Jharkhand, India, May, 2019.
Resource person for UGC-HRDC Refresher Courses in Information and Communication Technology, 2018.
Session Chair in "Second International Conference on Computing, Communication, Control and Automation (ICCUBEA-2016)", August,2016.
Nominated interview panel member for selection of MIS Officer in State Project Directorate under RUSA, a Centrally Sponsored Scheme (CSS), Department of Higher Education, Ministry of Human Resource Development, Government of India, 2015
Resource Person for refresher course in Information Technology organized by UGC-Academic Staff College, Ranchi University, Ranchi, India, 2015.
PROGRAM COMMITTEE AND / OR TECHNICAL COMMITTEE MEMBER
TECHNICAL PROGRAM COMMITTEE MEMBER AT FIFTH INTERNATIONAL CONFERENCE ON RESEARCH IN COMPUTATIONAL INTELLIGENCE AND COMMUNICATION NETWORKS (ICRCICN 2020)
2020 Fifth International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN 2020) aims to bring together researchers, engineers, developers and practitioners from academia and industry working in all major areas and interdisciplinary areas of computational intelligence, communication systems, computer networks and soft computing to share their experience, and exchange and cross-fertilize their ideas. ICRCICN 2020 will be held in the garden city of Bangalore, Karnataka, India. It is organized by CHRIST (Deemed to be University), Bangalore, India to cater the creation of intelligent solutions in future. It is expected that researchers will bring new prospects for collaboration across disciplines and gain idea facilitating novel breakthrough.
TECHNICAL COMMITTEE MEMBER AT THIRD INTERNATIONAL SYMPOSIUM OF SIGNAL AND IMAGE PROCESSING (ISSIP 2020)
The event was scheduled on 21st. and 22nd. October, 2020 and was organized by Algebra University College, Republic of Croatia and Christ University , Bengaluru
ORGANIZING COMMITTEE MEMBER OF INTERNATIONAL WEBINAR ENTITLED "TRANSFORMING EDUCATION THROUGH GLOBAL COLLABORATION: THE ROADMAP"
The event was scheduled on 15th, 16th & 17th July 2020.The esteemed Collaborators for this International Webinar are Sinhgad Institute of Management, Pune, Savitribai Phule Pune University (Faculty of Commerce and Management), Association of Indian Management Schools (AIMS), Corporate Gurukul, Singapore, AIMS, Happy Marketer, A Merkle Company, Singapore and BPB Publications.
PROGRAM COMMITTEE MEMBER OF 10TH. INTERNATIONAL CONFERENCE ON AWARENESS, SCIENCE AND TECHNOLOGY
The event held on October 23-25, 2019, Iwate Prefectural University, Morioka, Japan
TECHNICAL COMMITTEE MEMBER OF EHACON 2019, INTERNATIONAL ETHICAL HACKING CONFERENCE
Organized by Institute of Engineering and Management, August 22-25, 2019, Kolkata, India
PROGRAM COMMITTEE MEMBER OF FOURTH INTERNATIONAL CONFERENCE ON RESEARCH IN COMPUTATIONAL
INTELLIGENCE AND COMMUNICATION NETWORKS (ICRCICN 2018)
The Conference was Technically co-sponsored by IEEE
Computational Intelligence Society, Kolkata, India
EVENTS ORGANIZED AS COORDINATOR
EMBRACING SELF LEARNING IN RESEARCH WITH SWAYAM
PYTHON PROGRAMMING ESSENTIALS AND UNEXPLORED EMPLOYMENT OPPORTUNITIES IN ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING
EMBRACING JOB OPPORTUNITIES IN INDUSTRY 4.0
Roles & Responsibilities
16+ years in Academia as a Faculty Member
Collaborative Research experience of over 10 years with Industry Professionals
Editorial Board Member and Reviewer of International Journals and Conferences
Assistant Professor, Dept. of Information Technology, Xavier Institute of Social Service, Jharkhand,
India, Aug, 2012- still pursuing
SPOC- SWAYAM Local Chapter, Xavier Institute of Social Service, Ranchi since Nov, 2019
Assistant Professor, Dept. of Computer Science/Information Technology, Mukesh Patel School of Technology Management and Engineering, NMIMS (Deemed-to-be-University), Mumbai, India,
Sept, 2010- Aug, 2012
Senior Lecturer, Dept. of Information Systems in Globsyn Technologies, Kolkata, India, Sept, 2008-
Lecturer, Dept. of CSE/IT, Bengal Institute of Technology, Maulana Abul Kalam Azad University of
Technology, West Bengal, India, Feb, 2004- Aug, 2008
TRAINING / CERTIFICATE COURSES
Certificate (online course) on hands on Machine Learning Course, July 30 2018, Udemy
Certificate (online course) on hands on Deep Learning Course, October 26 2017, Udemy
Certificate on AICTE sponsored 'Induction Training (2 Weeks Duration-Modular Pattern) in NITTTR,
January 2006 – March 2006, Kolkata, India
Certificate on Improvement of Teaching Skill through Microteaching (EDTC 10A) in NITTTR, July 25-
29, 2005, Kolkata, India
Certificate on Development of Multimedia based Instructional Software at NITTTR, January 10-14,
2005, Kolkata, India
SEMINARS & WORKSHOPS ATTENDED
Attended and presented research paper in International Conference on Business Paradigms In Emerging
Markets (2014), December 12-13, 2014, NIT, Rourkela
Attended and presented research paper in IEEE, Indicon’2013 organized by IIT, Bombay, December 13-15,2013, Mumbai, India
Attended and presented research paper in International Conference on Advances in Computing,
Communication, and Control Communications organized by Fr. Conceicao Rodrigues College of
Engineering, January 18-19, 2013, Bandra, Mumbai, India
Attended and presented research paper in International Conference on Advances in Technology and
Engineering (ICATE) organized by MPSTME, SVKM’s NMIMS, January 23-25, 2013, Mumbai, India
Attended Symposium on ‘Achieving Excellence in Technical Education’ conducted by Narsee Monjee Institute of Management Studies(Deemed-to-be-University), November 15, 2010 in Mumbai, India
Attended workshop entitled 'The Strategy of B-School in Present Meltdown Period' conducted jointly
by Association of Indian Management Schools (AIMS)” and Globsyn Business School (GBS), June 27, 2009, Kolkata, India
Attended Faculty Development Program (FDP) entitled 'Case Study Method of Teaching and Research'
conducted jointly by Association of Indian Management Schools (AIMS) and Globsyn Business
School (GBS), February 23, 2009, Kolkata, India
Attended two days program 'NASSCOM CEO SUMMIT '2008' at HYATT REGENCY, November 11- 12, 2008, Kolkata, India
NAME OF SCHOLAR : KHUSHBU KUMARI
TITLE OF THESIS : EMPIRICAL STUDY OF FUSION FRAMEWORK FOR CONTENT BASED IMAGE CLASSIFICATION
PLACE OF RESEARCH : VINOBA BHAVE UNIVERSITY (STATE UNIVERSITY), JHARKHAND, INDIA
STATUS : ONGOING
2012 - 2018
2004 - 2006
B.E. (INFORMATION TECHNOLOGY) [UNIVERSITY OF BURDWAN]
1998 - 2002
"Do not go where the path may lead. Instead, go where there is no path and leave a trail"
Ralph Waldo Emerson
GET IN TOUCH FOR
Invited Sessions and Speeches at Conferences, Webinars, FDPs, MDPs and other Events of Relevance
Training and Consultancies
Research Writing Tips
Career Guidance Suggestions
Xavier Institute of Social Service, Dr. Camil Bulcke Path, Ranchi
PIN : 834001