Dr. Varun Srivastava

Biography

Dr. Varun Srivastava has done the Ph.D. and M.Tech at Department of Information Technology GGSIPU, New Delhi. He has been a Visveswaraya fellowship awardee during his Ph.D. He did his B.tech from BVCOE New Delhi, GGSIPU. His research interests are Computer Vision, Medical Imaging, Machine and Deep Learning. He has published several SCIE/Scopus journal and International Conference papers in medical image analysis field.

Educational Qualifications

• Ph.D.  (Computer Science & Engineering) from GGSIPU New Delhi in 2021.
• M. Tech (Computer Science & Engineering) from GGSIPU New Delhi in 2012.
• B. Tech (Computer Science & Engineering) from BVCOE, GGSIPU in 2010.

Work Experience

Teaching Experience: 

• Presently working as an Assistant Professor (Senior Grade) in the DoCSE & IT at Jaypee Institute of Information Technology (JIIT), Sector 62, Noida, U.P. from July 2023 to till date.
• Worked as an Assistant Professor in the School of Computer Science Engineering and Technology at Thapar University, Patiala from 2021-2023

Worked as Assistant Professor in the School of Computer Science Engineering at BVCOE New Delhi from 2012-2021.

Interest Area 

Medical Image Analysis, Computer Vision, Deep Learning

Publications

International Journals:

• Varun Srivastava, Deepika Kumar, and Sudipta Roy. "A median based quadrilateral local quantized ternary pattern technique for the classification of dermatoscopic images of skin cancer." Computers and Electrical Engineering, Vol. 102, 2022, Elsevier. (SCI and SCIE indexed, Impact factor: 4.15)
• 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: 4.056)
• 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)
• Deepika Kumar, Varun Srivastava, Daniela Elena Popescu, and Jude D. Hemanth. "Dual-Modal Transformer with Enhanced Inter-and Intra-Modality Interactions for Image Captioning." Applied Sciences Vol. 12, Issue. 13, 6733, 2022. (SCI and SCIE indexed, Impact factor: 2.838)
• 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)
• 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)
• 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)
• 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)
• Ajay Kumar, Varun Srivastava, Mahesh Kumar Chaubey, and Megha Sehgal, "Bitcoin Price Prediction Using Sentiment Analysis and Long Short-Term Memory (LSTM)." International Journal of Intelligent Systems and Applications in Engineering 11, no. 7s (2023): 480-485. (Scopus Indexed)
• 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)
• 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)
• 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)
• 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.
• Varun Srivastava, Ruchi Sehrawat, “Neuro-Genetic algorithm for selection of test suites in regression testing”, International Journal of Computer And Applications, Vol. 2012.
• 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
• 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)
• 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)
• 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.
• 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.
• 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.
• 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.

Academic Activities

• 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.
• Winner as a mentor in Smart India Hackathon, NIT Patna in 2019.

Grants/Fellowships

• Awarded Visveswaraya Ph.D. Fellowship under the Awardee No.: MEITY-PHD-787 for 1.      entire Ph.D. duration by Ministry of Electronics and IT, Govt. of India.
• Received AICTE Scholarship for entire M.Tech Duration.
• Received scholarship under National Scholarships Scheme after Secondary School in 2003. 

Projects

•  Received a Seed Grant from Thapar Institute of Engineering and Technology, Patiala of INR 4 Lakhs approximately for project on skin cancer segmentation and classification
• Applied for a project entitled "Evaluation of IoT and Machine learning approaches for Corrosion detection and Prediction for REinforced concrete structures" with Proposal No. SUR/2022/000321 to Science and Engineering Research Board (SERB) India.
• Applied for a project entitled "EHDTool: Robust and secure technique for Copyright Protection of Electronic Healthcare Data" with Proposal No. SQUID-1995-AA-0401 to SERB-POWER Mobility Grant under the POWER Scheme