Mirlabs
Dr. Prerana Mukherjee
Dr. Prerana Mukherjee
JNU, Delhi, DELHI
Regular Member
Personal Web Site: https://mprerana.github.io/DrPreranaMukherjee/
Main page: http://www.mirlabs.net/global/index.php?c=main&a=person&id=1623
Short Biography

Hi!  I am working as Assistant Professor at Dept of Computer Science, School of Engineering, JNU. Prior to that, I was working as Assistant Professor at IIIT Sri CIty (Nov'18-Mar'20). During PhD'18 (IIT Delhi ) I was working on research problem statement of "Salient Object Localization and Segmentation". I pursued M.Tech at Department of Information Technology, Delhi Technological University (DTU) , New Delhi. Passionate on working with bright and motivated students towards socio-economic and industry problems (healthcare, education, analytics and entertainment industries) in vision and allied areas. I have active collaborations with IBM, Intel, Accenture, Wipro and others. Open to industrial and academic collabortions.

Research InterestBroad areas of vision (2D, RGBD & 3D point cloud based object localization & tracking, scene analysis, remote sensing and image/video processing), Learning Problems (Generative models, deep learning, sequential modelling and transfer learning), Biometrics, Pattern Recognition, Data Mining.

List of top 5 publications in the last 5 years
1. Srivastava, S., Mukherjee, P., and Lall, B., “Characterizing objects with SIKA features for multiclass classification”, Applied Soft Computing, Elsevier, 2015 (Impact Factor:4.873).
2. Mukherjee, P., and Lall, B., “Saliency and KAZE features assisted object segmentation”, Image and Vision Computing, Elsevier, 2017 (Impact Factor: 2.747).
3. Chandra Sekhar Vorugunti , Viswanath Pulabaigari , Prerana Mukherjee , Abhishek Sharma, “DeepFuseOSV: Online Signature Verification Using Hybrid Feature Fusion and Hybrid Depthwise Separable Convolution Neural Network Architecture”, IET Biometrics, 2020 (Impact Factor: 2.092).
4. Mukherjee, P., and Lall, B., “Conditional Random Field based salient proposal set generation and its application in content aware seam carving”, Signal Processing: Image Communication, Elsevier, 2020 (Impact Factor: 2.814).
5. Chandra Sekhar Vorugunti, Viswanath Pulabaigiri, Rama Krishna Sai Subrahmanyam Gorthi, Prerana Mukherjee, “OSVFuseNet: Online Signature Verification by Feature Fusion and Depth-wise Separable Convolution Based Deep Learning.”, Neurocomputing, 2020 (Impact Factor: 4.072).

List of top 5 academic activities during the last 5 years

• Media coverage in IITD Press Release on IoT Lab Establishment and Navbharat Times on IoT Lab. 

• Research guidance to B.Tech.(19). and M.Tech.(5) students for internships and thesis projects in domain areas of image processing, computer vision and IoT. 

• Assisted my PhD supervisor in reviewing papers for ICVGIP 2016, NCVPRIPG 2015, NCVPRIPG 2017, IET Image Processing Journal, ICPR 2018.

• Reviewer for IndiCon 2015, Pattern Recognition, Image and Vision Computing, IET Image Processing. 

• Lead, Organizing team for Celestini Project India, 2017 competition Award Ceremony held at 10 Nov, 2017 at Bharti School of Telecom Technology and Management, IIT Delhi in collaboration with Marconi Society. Worked in project Celestini Project India, 2017 on increasing road safety by using video analytics from network of cameras mounted on vehicle dashboards in a more complex and chaotic environment like Indian roads particularly Delhi.

• Faculty In-Charge (Coordinator) for Workshop on Information Security, 2019 held on 5-6 Jan, 2019 at IIIT Sri City with industry participation from IBM Securty, HCL Technologies and Wipro.

• Faculty In-Charge (Coordinator) for Leadership Development Programme (LEAP), 2019 held on 11-16 Feb, 2019 at IIIT Sri City with faculty participation from 15 other leading institutions (NITs, Central Universities) in the country.

• Faculty Mentor of Student Team, IIITS for Smart India Hackathon held on 2-3 March, 2019. 2nd Runner Up at final Round at Girijananda Chowdhury Institute Of Management And Technology (GIMT), Guwahati. Problem Statement: Preparation of Dashboard for National Accounts, Ministry of Statistics PI

• Lead-Faculty Organizer TensorFlow Dev Summit’19 Livestream watch party hosted at IIIT Sri City and Technical Talks organized on the Women’s Day Celebrations from 6-8 March, 2019.

• Organizing Team in National Workshop on Socially Relevant Technical Education Exploring Cooperation Oriented Actions from 6-7 December, 2019 at NITTTR, Chennai.

• Global Mentor in ITU AI/ML in 5G challeng organized by CISCO and ITU-T in June-Dec’20