Specialization

Biomedical Image Processing and Machine Learning

Email

varun.srivastava@thapar.edu

1. Education
   •    PhD in Information Technology, from Guru Gobind Singh Indraprastha University, University School of Information, Communication and Technology, New Delhi
   •    M. Tech in Information Technology from Guru Gobind Singh Indraprastha University, University School of Information, Communication and Technology, New Delhi.
   •    B. Tech in Information Technology from Guru Gobind Singh Indraprastha University, Bharati Vidyapeeth’s College of Engineering, New Delhi.
   Trainings
   •    Certified in 8 weeks Image Processing Course: From Mars to Hollywood with stop at Hospital from Duke University on Coursera in 2021.
   •    Microsoft certified Innovative Educator in 2020.
   •    Certificate of excellence in six-month Machine Learning Course from Coding Ninja
   •    Certified trainer of Android Technology from ISAAC IT labs.
   •    Certified in 10 courses from Course-Era in fields of Image processing and Machine Learning from various foreign universities
   •    Certifications in various QIPs/FDPs from organizations like NITTTR Chandigarh, IIT Roorkee, IIT Mumbai etc.
   • Experience
   1.    Assistant Professor, Computer Science Department, Thapar University Patiala, India (September 2021 - present)
   2.    Assistant Professor, Bharati Vidyapeeth’s College of Engineering, New Delhi, (September 2012- July 2021)
   Journal publications
   1. Varun Srivastava, and Ravindra Kumar Purwar, "Classification of CT scan images of lungs using deep convolutional neural network with external shape-based features." Journal of digital imaging, Vol. 33, Issue no. 1, pp: 252-261, 2020, Springer. (SCI and SCIE indexed, Impact factor: 3.697)
   2. Varun Srivastava, Ravindra Kumar Purwar, and Anchal Jain, "A dynamic threshold-based local mesh ternary pattern technique for biomedical image retrieval." International Journal of Imaging Systems and Technology, Vol. 29, Issue no. 2, pp: 168-179, 2019, Wiley. (SCIE indexed, Impact factor: 1.925)
   3. Varun Srivastava, Shilpa Gupta, Gopal Chaudhary, Arun balodi, Manju Khari and Vicente Garcia-Diaz, “An Enhanced Texture based feature extraction approach for classification of biomedical images of CT-Scan of lungs.” International Journal of Interactive Multimedia and Artificial Intelligence, Vol. 6, Issue no. 7, pp: 18-25. DOI: 10.9781/ijmai.2020.11.003. (SCIE indexed, Impact factor: 3.137)
   4. Deepika Kumar, Varun Srivastava, Daniela Elena Popescu, Jude D Hemanth, "Dual-Modal Transformer with enhanced inter and intra- modality", Journal of Applied Sciences, Accepted and Under Press, (SCI indexed, Impact factor: 2.838)
   5. Varun Srivastava, and Ravindra Kumar Purwar, "A Five-Level Wavelet Decomposition and Dimensional Reduction Approach for Feature Extraction and Classification of MR and CT Scan Images." International journal of Applied Computational Intelligence and Soft Computing, Volume 2017, 9 pages, 2017. (Emerging SCI, Scopus Indexed)
   6. Varun Srivastava, and Ravindra Kumar Purwar, “An extension of local mesh peak valley edge based feature descriptor for image retrieval in bio-medical images”, International Journal of Advances in Distributed Computing and Artificial Intelligence, Vol. 7, Issue No. 1, pp: 77-89, 2018. (Emerging SCI Indexed, Scopus Indexed)
   7. Varun Srivastava, and Ravindra Kumar Purwar, “Classification of Eye-fundus images with Diabetic retinopathy using shape based features integrated into a Convolutional Neural Network.” Journal of Information and Optimization Sciences, Vol. 41, Issue No. 1, pp: 217-227, Taylor and Francis, 2020. (Emerging SCI Indexed)
   8. Ravindra K. Purwar, and Varun Srivastava, "A novel feature based indexing algorithm for brain tumor MR-images." International Journal of Information Technology, Volume: 12, pp: 1005–1011, 2019. (Scopus Indexed)
   9. Hemangini Malhotra, Varun Srivastava and Nupur Singhal, “A novel method for fingerprint recognition using Trifurcation, and Eye Enclosure.” International journal of control theory and applications, Volume: 19, Issue: 1, pp: 9183-9189, 2016. (Scopus Indexed)
   10. Aditya Kapil, Jaspreet Singh, and Varun Srivastava. "A Hybrid Approach for Offline Signature Verification using Artificial Neural Networks." International Journal of Information and Computation Technology, Volume 4, Issue no. 12 1113-112, 2014. (Scopus Indexed)
   11. Aashna Jain, Shwetal Atey, Satender Vinayak, and Varun Srivastava. "Cancerous cell detection using histopathological image analysis." International Journal of Advanced Research in Computer and Communication Engineering, Vol. 2, Issue: no. 12, pp: 7419-26, 2014.
   12. Varun Srivastava, Ruchi Sehrawat, “Neuro-Genetic algorithm for selection of test suites in regression testing”, International Journal of Computer And Applications, Vol. 2012.
   13. Bharti Suri, Isha Mangal, and Varun Srivastava. "Regression test suite reduction using an hybrid technique based on BCO and genetic algorithm." Special Issue of International Journal of Computer Science and Informatics, Vol. 2011, pp: 2231-5292, 2011.
   International Conferences:
   1. Ravindra Kumar Purwar and Varun Srivastava, “Recent advancements in detection of cancer using Soft Computing techniques for MR images”, Springer International conference on Advanced computing and Intelligent Engineering, 21-23rd December 2016, published as a chapter in Progress in Advanced Computing and Intelligent Engineering, pp: 99-108, Singapore, Springer, 2018. (Scopus Indexed)
   2. Apoorv Jain, Naman Bhagat, Varun Srivastava, Priyanshu Tyagi, and Pragya Jain. "A Feature-Based kinship verification technique using convolutional neural network." Presented in International Conference on Data Sciences, Security and Applications, 07th- 08th March 2019 and published as a chapter in Advances in Data Sciences, Security and Applications, pp. 353-362. Springer, Singapore, 2020. (Scopus Indexed)
   3. Aakash Paul, Priyanshi Chauhan, Himansh Sharma, Kartikay Khosla, Varun Srivastava and Ajay Kumar, “Classification of brain tumor images using enhanced deep learning based methodologies”, CSI 2nd International Conference on Data Science and Applications, 10th - 11th April 2021, Jadavpur University, Kolkata, 2021. (Scopus Indexed)
   4. Karan Agarwal, Satvik Narang and Varun Srivastava, “Click through Rate prediction of Display Advertisements”, IEEE International Conference on “Computing for Sustainable Global Development”, 14th – 16th March 2018, Bharati Vidyapeeth Institute of Computer Applications and Management, 2018.
   5. Bharat, Dhruv Nanda, Nisheet Rathore and Varun Srivastava, “A quadrilateral local ternary quantized pattern based approach to extract texture from skin cancer dermoscopic images.” IEEE International Conference on “Computing for Sustainable Global Development”, 14th – 16th March 2018, Bharati Vidyapeeth Institute of Computer Applications and Management, 2018.
   6. Manish Mittal, Satvik Narang, Varun Srivastava, “A study about use of feature descriptors in recent image indexing and retrieval techniques.” IEEE International Conference on “Computing for Sustainable Global Development”, 01st – 03rd March, 2017, Bharati Vidyapeeth Institute of Computer Applications and Management, 2017.
   7. Varun Chopra, Akshita Sharma, Jayant Nagpal, Tarun Lahrod, Paras Jain, Varun Srivastava and Kirti Gupta, “A survey of various wavelet-based image retrieval techniques and tuning of hyperparameters”, Second Doctoral Symposium on Computational Intelligence, March 6th 2021, Institute of Engineering and Technology, Lucknow, 2021.
   Other activities
   •    Training and placement Officer for BVCOE New Delhi (ND) since January 2020 and for IT and CSE since August 2017.
   •    Certified trainer of Android based App development by Isaac IT labs and Machine learning using Python by Coding Ninja.
   •    Headed the Alumni Cell of BVCOE ND from 2013 till 2018.
   •    Co-Convener of BVCOE ND’s annual festival Xtasy 2015 and technical festival BVEST 2013.
   •    Organized and headed five Alumni Meets of BVCOE ND from 2013 to 2015 with gathering of more than 400 Alumni.
   •    Headed website committee of BVCOE ND from 2014-2016.
   •    Organized In-house summer trainings on Computer Vision and Pattern Recognition, Machine learning, Android Technology and C learning.
   •    Organized many FDPs in the area of Machine Learning and Image Processing.