Dr. Rubeena Vohra

Dr. Rubeena Vohra 

Associate Professor 

Bharati Vidyapeeth’s College of Engineering  

E-MAIL ID: rubeena.vohra@bharatividyapeeth.edu, rubeena.vohra@gmail.com

Office Phone: (011) 25258637, 25278443 Extn.:  244

Qualification:

• Ph.D (Remote Sensing) , Delhi Technological University

        Thesis Title: Object based Classification using Multi-sensor Remote Sensing Imagery

        Guided by Dr. Kailash Chandra Tiwari (Professor, DTU)

• M.Tech (Electronics and Communication Systems), IGDTUW (formerly IGIT), Guru Gobind Singh Indraprastha University, New Delhi

• B.Tech (Electronics and Communication Systems), LLRIET, Moga, Punjab

Area of Specialization:

• Digital Image Processing (DIP)

• Signal Processing

• Remote Sensing 

• Machine Learning

• Geographical Information System(GIS)

• Satellite Imagery

Work Experience:

• Teaching: 15+  years

Subjects Taught: 

• Digital Image processing

• Digital Signal Processing

• Signals and System

• Information Theory and Coding

• Embedded Systems

• Satellite Communication

• Remote Sensing Image Analysis and Classification

CERTIFICATION COURSES

Ø  Diploma Training Certificate in C++, Pronto Information Technologies, an authorized center of C-DAC, Govt. of India, from period 15-6-2001 to 14-08-2001, awarded with A Grade.

Ø  Certificate of Participation on Intelligent Transportation Systems by MHRD sponsored GIAN course from 27th November to 1st December 2017 conducted by Department of Electronics and Communication, Delhi Technological University, Delhi.

Ø  Certificate of Participation in Short Term Course on Information Security and Digital Forensics organized by Division of Information Technology from 5th to 9th June 2017, NSIT, Delhi

Ø  Certificate of Participation in AICTE (NITTTR, Chandigarh) recognized Short Term Course on Tools for Scientific Research in Engineering and Science through ICT conducted by Electrical Engineering Department from 12th November to 16th November 2018, BVCOE, Delhi

Ø  Certificate of Participation in Faculty Development Program on Deep Learning and its Techniques organized by Computer Science Engineering Department from 25th February to 1st March 2019, BVCOE, New Delhi

Ø  Certificate of Participation in Short Term Course on Digital Signal Processing using MATLAB, organized by Department of Electronics and Communication Engineering from 3rd to 7th June 2019, NSUT, Delhi

Ø  Certificate of Participation in 4 days of Faculty Development Program on ICT/LMS Tools for Teaching and Learning organized by Department of Information Technology and IQAC of K.C. College of Engineering & Management & Research from 16th to 19th June 2020

Ø  Certificate of Participation in AICTE (NITTTR, Chandigarh) recognized Faculty Development Course on Design Challenges in Low Power VLSI Design conducted by Information Management and Coordination Department from 16th to 20th December 2019, IGDTUW, Delhi

Ø  Certificate of Participation in Short Term Training Program on Information Security in the Era of Deep Learning – Challenges and Opportunities sponsored by ISEA project, Phase-II, MeitY, Government of India, organised by Department of CSE from 8th to 12th February 2021, DTU, Delhi

Ø  Certificate of Participation in AICTE Training and Learning (ATAL) Academy Online Elementary FDP on "Applied Machine Learning and Data Science" from 17th to 21st May 2021 at Indian Institute of Information Technology Dharwad

Ø  Certificate of Participation in Five Days Short Term Course on Emerging Trends in Electronics and Communication organized by Department of Electronics and Communication from 18th to 22nd July 2023, BVCOE, New Delhi

Ø  Certificate of Participation in Faculty Development Program on Next Generation Wireless Networks organized by Department of Electronics and Communication from 12th to 16th December 2023, Delhi Technological University, Delhi

Ø   Certificate of Participation in Faculty Development Program on Machine Learning and Data Science organized by Department of Electronics and Communication from 11th to 15th March 2024, BVCOE, New Delhi

Ø  Certificate of Participation in webinar based Training Program on Bhuvan Overview conducted by National Remote Sensing Centre sponsored by Indian Space Research Organization, Department of Space, Govt., of India on 13th to 15th March 2024.

Academic Positions

Ø  Lecturer in Electronics and Communication Department, BVCOE, New Delhi – 2009-2011

Ø  Assistant Professor in Electronics and Communication Department, BVCOE, New Delhi – 2011-2024

Ø  Associate Professor in Electronics and Communication Department, BVCOE, New Delhi – 2024-till date

Technical/ Non-Technical Position

Ø  Editor, Remote Sensing Journal, 2017-2018

Ø  Head, Entrepreneurship Development Cell, BVCOE, ND – 2018-2023

Ø  Head, Blissful Mind Society, BVCOE, ND- 2019- till date

Ø  Vice President, Institute Innovation Council (IIC), BVCOE, ND- 2022 -2024

Technical Membership

Ø  Life Time Member of ISTE, Technical Committee

Administrative Assignments

Ø  Time Table Cell Representative of ECE Deptt, BVCOE, Delhi – 2012-2020

Ø  ISO Representative of ECE Deptt., BVCOE, Delhi - 2017-2019

Ø  Staff Advisor, ECE Deptt., BVCOE, Delhi

Ø  Student Mentor, ECE Deptt., BVCOE, Delhi

Ø  Anti-Ragging Cell Member, ECE Deptt., Delhi, 2023– till date

Ø  Question Paper Setting and Evaluator, BVCOE, Delhi

Ø  NBA point 2 and point 4 team member in ECE, BVCOE, Delhi

Academic Projects

Ø  Guided LCD, Mini, Minor and Major project students from 2nd, 3rd and 4th year of BVCOE, ECE Department, Delhi. The projects are guided under the area of image processing, signal processing, remote sensing and GIS.

Ø  Guided project under MCG, DTU, Delhi. The project has been entitled as “Forecasting Evaporation Losses and Floating Solar Panel Temperatures Using AI/ML”.

Ø  Guided International M.Tech student under MCG, DTU.

Peer Reviewed Journals/International Journals/Conferences (National/International)-

Ø  Vohra, Rubeena, Kumar, Ashish,Jain, Rachna, Hemanth, D Jude, Analysis and prediction of land surface temperature with increasing urbanisation using satellite imagery, Heliyon, 2405-8440, 10(22),30 Nov 2024, SCIE, SCOPUS

Ø  Ashish Kumar and Rubeena Vohra and Rachna Jain and Muyu Li and Chenquan Gan and Deepak Kumar Jain, Correlation filter based single object tracking: A review. Information Fusion, vol 112, (2 July 2024), SCIE, https://doi.org/10.1016/j.inffus.2024.102562

Ø  Vohra, R., Kumar, A. & Rongali, G. Multi-scale extraction and spatial analysis of growth pattern changes in urban water bodies using sentinel-2 MSI imagery: a study in the central part of India. Stoch Environ Res Risk Assess (2024), SCI. https://doi.org/10.1007/s00477-024-02686-3

Ø  Kumar, A., Aelgani, V., Vohra, R. et al. Artificial intelligence bias in medical system designs: a systematic review. Multimed Tools Appl 83, 18005–18057 (2023) SCI. https://doi.org/10.1007/s11042-023-16029-x

Ø  Vohra, R., Tiwari, K.C. Analysis of land use and land cover changes and their impact on temperature using landsat satellite imageries. Environ Dev Sustain 25, 8623–8650 (2023) SCI. https://doi.org/10.1007/s10668-022-02416-1

Ø  Vohra, R., Tiwari, K.C. Land cover classification using multi-fusion based dense transpose convolution in fully convolutional network with feature alignment for remote sensing images. Earth Sci Inform 16, 983–1003 (2023) SCI. https://doi.org/10.1007/s12145-022-00891-8

Ø  Sharma, S., Shrivastava, S., M, S., Hans, V., & Vohra, R. (2023). A Comprehensive Study of Maximum Building Area Estimation. International Journal of Engineering and Computer Science, 12(08), 25792–25800. https://doi.org/10.18535/ijecs/v12i08.4751

Ø  R Vohra, Bhawna, Debayan, Komal, Ritika Jha, “Malaria Detection using Grayscale Conversion”, International Journal of Research and Analytical Reviews, Volume 8 Issue 2, ISSN: 2348-1269 (2022) Peer Reviewed.

Ø  R Vohra, Bhavika, Hansika, Swati, “Brain Tumor Segmentation using Digital Image Processing”, International Journal of Scientific Research in Engineering and Management, ISSN:2582-3930 (2022) Peer Reviewed.

Vohra R, Tiwari KC, “Multisensory decision level fusion for improvement in urban land classification”, Recent Advances in Computer Science and Communications (Formerly: Recent Patents on Computer Science), May;14(4):1072-85 (2021), SCOPUS. DOI: 10.2174/2666255813666191223120621

 Ø  Vohra R, Tiwari KC, “Spatial shape feature descriptors in classification of engineered objects using high spatial resolution remote sensing data”, Evolving Systems,11(4):647-60 (2020) SCI. https://doi.org/10.1007/s12530-019-09275-8

Ø  Vohra R, Tiwari KC, “Comparative Analysis of SVM and ANN Classifiers using Multilevel Fusion of Multi-Sensor Data in Urban Land Classification”, Sensing and Imaging, 21(1):1-21 (2020) ESCI, SCOPUS. https://doi.org/10.1007/s11220-020-00280-9

Ø  Shreya S, Upadhyay Y, Manchanda M, Vohra R, Singh GD (2019), “Optical character recognition using convolutional neural network”, In 2019 6th International Conference on Computing for Sustainable Global Development (INDIACom), Mar 13 (pp. 55- 59), IEEE.

Ø  Vohra, R., Tiwari, K.C. (2018). Object based classification using multisensory data fusion and support vector algorithm. International journal of Image and Data Fusion, 9(1), 63-81. Web of Science (ESCI), SCOPUS. https://doi.org/10.1080/19479832.2017.1372524

Ø  Rubeena Vohra & K. C. Tiwari (2016), “Multisensor Multiresolution Data Fusion for Improvement in Classification”, Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques and Applications VI, Proc. of SPIE Vol. 9880, 2016 SPIE, doi: 10.1117/12.2222164.

Ø  Rubeena Vohra & K. C. Tiwari (2015), “A Review and Assessment of Fusion Algorithms on Gray Scale Images”, International Journal of Electronics, Electrical and Computational System, IJEECS, Vol4.

Ø  Vohra R, Tayal A (2011), “Choice of Mother Wavelet For Image Compression”, Journal of Multi Disciplinary Engineering Technologies, Volume. 2011 Jul;5(2).

Ø  Vohra R, Tayal A (2011), “Image restoration using thresholding techniques on wavelet coefficients”, International Journal of Computer Science Issues (IJCSI). 2011 Sep 1;8(5):400.

Ø  Vohra R, Tayal A (2011), “Image Compression Based on Selection of Mother Wavelet”, In Proceedings of the 5th National Conference; INDIACom-2011, Computing for Nation Development (pp. 10-11).

Ø  Rubeena Vohra, Akash Tayal (2011), “Analytical study of factors affecting the image using Discrete Wavelet Transformation”, Second National Conference on Global Trends and Innovations in Computer Applications and Informatics, Shobhit University, 9-10 April 2011.

Ø  Shikha Arora, Rubeena Vohra (2010), “Study of field emission characteristics of carbon nanotubes”, Second National Conference on Recent Trends in Communication, Computation and Signal Processing, Amrita Vishwa Vidyapeeth university, 26-27 March 2010.

Ø  Rubeena Vohra, Akash Tayal (2010), “Image Denoising in Digital Image Processing”, Second National Conference on Electronics Design and Communication Technology, Haryana College of Technology and Management, 14-15 May 2010.

BOOKS/BOOK CHAPTERS

Ø  Vohra, Rubeena, and Ashish Kumar, eds (2024). Advanced Geospatial Practices in Natural Environment Resource Management. Hershey, PA: IGI Global. SCOPUS https://doi.org/10.4018/979-8-3693-1396-1

Ø  Avinash Kumar, Dyvavani Krishna Kapuganti, Rubeena Vohra (2024). Water Demand and Quality Management, Advanced Geospatial Practices in Natural Environment Resource Management, 38-66, IGI Global. SCOPUS https://doi.org/10.4018/979-8-3693-1396-1

Ø  Avinash Kumar, Jaya Yadav, Rubeena Vohra, Anand Sebastian (2024). Water and Water Waste Engineering, Advanced Geospatial Practices in Natural Environment Resource Management, 26-37, IGI Global. SCOPUS https://doi.org/10.4018/979-8-3693-1396-1

Ø  Poonam Vishwas, KC Tiwari, Gopinadh Rongali, Rubeena Vohra (2024). Mapping of Glacial Lakes and Glacial Lake Outburst Flood in Kinnaur District, Himachal Pradesh Using Remote Sensing and GIS, Advanced Geospatial Practices in Natural Environment Resource Management, 109-128, IGI Global. SCOPUS https://doi.org/10.4018/979-8-3693-1396-1

Ø  Ashish Kumar, Rubeena Vohra (2023). Impact of Deep Learning Models for Technology Sustainability Tourism using Big Data Analytics. Deep Technologies for Sustainable Development Goals: Current Issues and Solution in Post-Covid Era. Springer, Singapore. SCOPUS https://doi.org/10.1007/978-981-19-5723-9_6

Ø  R Vohra, KC Tiwari (2022). Object based land cover classification using multisensory remote sensing data. Addressing Environmental Challenges Through Spatial Planning, IGI Global, pg-20-41, SCOPUS DOI: 10.4018/978-1-7998-8331-9.ch002

Ø  R Vohra, KC Tiwari, auth., (2022). Object based classification using Remote Sensing Data. AKN Learning. ISBN : 978-93-93682-15-4

 Professional/Academic Achievements/Awards/Honors

Ø  Certificate of Appreciation for delivering theory lectures and conducting practical's during the ‘NGP-DST Winter School on Geospatial Technologies (Level 1) between 15 Nov 21 to 09 Dec 21 by Multidisciplinary Center for Geoinformatics, Delhi Technological University and sponsored by National Geospatial Program-Department of Science and Technology, Government of India, New Delhi

Ø  Best Researcher Award (2023-2024) for paper entitled “Multi-scale extraction and spatial analysis of growth pattern changes in urban water bodies using sentinel-2 MSI imagery: a study in the central part of India”, by Research and Development Cell of BVCOE, New Delhi

Ø  Best Researcher Award (2022-2023) for paper entitled “Analysis of land use and land cover changes and their impact on temperature using landsat satellite imageries” by Research and Development Cell of BVCOE, New Delhi

Ø  Best Researcher Award (2022-2023) for paper entitled “Land cover classification using multi-fusion based dense transpose convolution in fully convolutional network with feature alignment for remote sensing images” by Research and Development Cell of BVCOE, New Delhi

Ø  Certificate of Recognition for conducting ALUMNIZOID 4.0 (2023-2034), an alumni interaction event for 3rd year ECE students, BVCOE, New Delhi

Ø  Certificate of Recognition for conducting CONFLUENCE 3.0 (2022-2023), an annual mega-event on Project Showcase Competition  for 3rd year students, ECE, BVCOE, New Delhi

Ø  Certificate of Participation as Resource Person in one-day workshop on Leveraging the Role of Computer Vision on Agricultural Applications, on 20th November, 2023, organized by an CGIAR (Digital Innovation) and International Rice Research Institute in partnership with DTU, New Delhi

Ø  Certificate of Appreciation for successfully delivering lectures on “Advance Image Processing”, during Summer Internship (2020) in Multi-Disciplinary Centre of Geoinformatics, DTU, New Delhi

Ø  Certificate of Appreciation for delivering theory lectures and conducting practical's during the ‘NGP-DST Winter School on Geospatial Technologies (Level 1) between 15 Nov 21 to 09 Dec 21 by Multidisciplinary Center for Geoinformatics, Delhi Technological University and sponsored by National Geospatial Program-Department of Science and Technology, Government of India, New Delhi

Ø  Certificate for TCP member during INDIACom-2019 for conducting special session on “Recent Trends in Communication, VLSI, Signal Processing and Information Technology”, 13th INDIACom;6th International Conference on “Computing for Sustainable Global Development, organized by BVICAM, New Delhi

Ø   Certificate of Appreciation for conducting Training in Virtual Labs: IIT Delhi, an initiative of Ministry of Human Resource Development under National Mission on Education through ICT, 2012.

Ø  Certificate of Merit for “First Position in Aggregate”, in Electronics and Communication, in B.Tech, 2003, LLRIET, PTU, Punjab

Ø  Certificate of Merit for awarding “Gold Medalist”, in M.Tech (Electronics and Communication), 2011, IGITW, GGSIPU, New Delhi

Research/ Academic Projects/ Capacity Building Project

  Research Project (CO-PI): Study of NAVIC and Opti-Flow based drone systems in GPS Denied Environment” (In Progress)

Objectives:

Ø  Study of drone communication link in GPS/NAVIC-Denied Environment (L/S Band Jamming Scenario): The existing drone navigation systems heavily rely on GPS technology, presenting a significant challenge when operating in environments with limited or no GPS signal availability. In GPS-denied scenarios, such as urban canyons or areas with signal interference, the current navigation solutions exhibit diminished accuracy, jeopardizing the effectiveness of unmanned aerial vehicles (UAVs) in critical applications. Addressing the need for an alternative navigation system becomes imperative to ensure reliable drone operations in diverse and challenging environments.

Ø  Performance of drone navigation in GPS+NAVIC Denied Environment (L+S Band Jamming Scenario) using Optical Flow System: In GPS+NAVIC denied environments, drone navigation relies on Optical Flow Systems for precise positioning. By analyzing ground features through onboard cameras, these systems enable accurate velocity estimation and position hold, ensuring stable and reliable flight even when traditional satellite-based navigation signals are unavailable, enhancing overall performance in challenging conditions.

The project has been sanctioned approval from C3I IHUB NTIHAC foundation, IIT Kanpur for a budget of INR 19.83 Lakh.

v  L2 Level Summer/Winter School Capacity Building Program in Geospatial Science and Technology (CO-PI)

Ø  Theme: Developing Geospatial Solutions for Defence, Security and Intelligence (27 May - 19 June 2024), supported by National Geospatial Program, Department of Science & Technology, Government of India, organized by Multidisciplinary Centre for Geoinformatics, Delhi Technological University, New Delhi, India

PUBLISHED PATENT

Ø  Dr. Tapsi Nagpal, Ms. Nishi Kalra, Dr. Rubeena Vohra, Mrs. Sarita Yadav, Ashish Kumar, Dr. Sikander, Dr. AmitKumar Manocha, Dr. Shilpa, ‘IOT BASED NUTRIENT PREDICTION DEVICE IN SOILLESS CULTIVATION SYSTEM”, Application Number 202311045945A , Publication Date 04/08/2023

REVIEWER

    Reviewer for Earth Science Informatics (July 2024), reviewed manuscript titled Effect of Modulation Transfer Function on Segmentation Quality and Classification Accuracy of Multi-Resolution Remote Sensing Imagery

    Reviewer for Evolutionary Intelligence (July 2024), reviewed manuscript titled Addressing Class Imbalance in Remote Sensing using Deep Learning Approaches: A Systematic Literature Review

 Reviewer for Scientific Repots (2024), reviewed manuscript titled "Extraction of Surface Vegetation in Xinjie Mine Based on UAV Visible Light Image"

Reviewer for Precision Agriculture (2023), reviewed manuscript titled, “Drone remote sensing of wheat N using hyperspectral sensor and machine learning

Reviewer for Earth Science Informatics (2023), reviewed manuscript titled, “A Conditional Generative Adversarial Network for Urban Area Classification using multi-source data”

Reviewer for Journal for Optical Communications (2022), reviewed manuscript titled, “Enhancing the security of free space optical communication system by employing chaos based modulation scheme”

Reviewer for Earth Science Informatics (2022), reviewed manuscript titled, "Assessment of the Novel ELSHORA Fusion Technique on Different Land Covers of GeoEye-1 Imagery"