Dr. Nagender Aneja

@gmail.com

Researcher, Institute of Applied Data Analytics and Senior Manager, Innovation and Enterprise Office
Universiti Brunei Darussalam



                                        

I am a Deep Learning, Computer Vision and Patent Professional and have a passion for the applications in Medical Imaging. I participated in Histopathologic Cancer Detection, https://www.kaggle.com/naneja [achieved the rank of 65th among 1157 (top 6%)] and ISIC 2018: Skin Lesion Analysis Towards Melanoma Detection, https://github.com/naneja/isic2018 . I also developed a prototype for Automated Plant Species Identification, https://github.com/naneja/plants and implemented Device Fingerprinting to identify network devices using deep learning https://github.com/naneja/device-fingerprinting I also did a project to apply CNN-LSTM for Image Captioning.

I have 26 Research Publications including 11 Scopus-indexed and three SCIE Indexed. One of my US Patents has also been allowed in the area of ad-hoc social networking.

I developed Autobot that does web scrapping from online public Patents Databases to create the desired Prior Art Search Report and developed Expert Directory (http://expert.ubd.edu.bn) for Universiti Brunei Darussalam where faculty members can self-register and update their individual profile. The system has been designed to fetch the list of publications and citation information automatically so that profile is automatically updated without human intervention https://expert.ubd.edu.bn/nagender.aneja The expert system is also available at https://researchid.co for public use freely.

I have also expertise in writing patent claims and responding to the patent examiner on the patent objections for US Patent Applications.

EDUCATION

Ph.D. Computer Engineering
M.E. Computer Technology and Applications

RESEARCH INTERESTS

Deep Learning
Computer Vision

11

Scopus Publications

84

Google Scholar Citations

6

Google Scholar h-index

2

Google Scholar i10-index

SCI/SCIE Publications

Nagender Aneja and Sapna Gambhir, "Profile-based Ad hoc social networking using Wi-Fi direct on the top of android", Mobile Information Systems, 2018, Hindawi

Nagender Aneja and Sapna Gambhir, "Social Profile Aware AODV Protocol for Ad-Hoc Social Networks", Wireless Personal Communications, 2017, Springer

Sapna Gambhir, Nagender Aneja and Liyanage Chandratilake de Silva, "Piecewise Maximal Similarity for Ad-hoc Social Networks", Wireless Personal Communications, 2017, Springer New York LLC

Scopus Publications

RECENT PUBLICATIONS

  • IoT Device Fingerprint using Deep Learning
    S Aneja, N Aneja, MS Islam
    2018 IEEE International Conference on Internet of Things and Intelligence 2018

  • Options and challenges in Providing Universal Access
    M Aledhari, N Aneja, AK Bashir, R Bennett, J Bielby, HA Hicks, R Johnson, ...
    Retrieved from Internet Initiative IEEE: https://internetinitiative. ieee 2018

  • Profile-Based Ad Hoc Social Networking Using Wi-Fi Direct on the Top of Android
    N Aneja, S Gambhir
    Mobile Information Systems 2018 2018

  • Piecewise Maximal Similarity for Ad-hoc Social Networks
    S Gambhir, N Aneja, LC De Silva
    Wireless Personal Communications, 1-11 2017

  • Social Profile Aware AODV Protocol for Ad-Hoc Social Networks
    N Aneja, S Gambhir
    Wireless Personal Communications, 1-22 2017

  • Security and Privacy: Challenges and Defending Solutions for NoSQL Data Stores
    S Aneja, N Aneja
    NoSQLDatabase for Storage and Retrieval of Data in Cloud, 237-250 2017

  • Options and Challenges in Providing Universal Access
    P Mantri, M Aledhari, HA Hicks, R Nighot, N Aneja, S Mandal, AK Bashir, ...
    IEEE Internet Technology Policy Community White Paper 2017

  • Internet of Things (IoT) Security Best Practices
    GA Fink, M Aledhari, J Bielby, R Nighot, S Mandal, N Aneja, C Hrivnak, ...
    IEEE Internet Technology Policy Community White Paper 2017

  • Protecting Internet Traffic: Security Challenges and Solutions
    M Aledhari, S Mandal, N Aneja, M Dautrey, R Nighot, P Mantri, J Bielby
    IEEE Internet Technology Policy Community White Paper 2017

  • Options and Challenges in Providing Universal Access to the Internet: Part Two
    IJBI Helen Anne Hicks (North Park University), Rajesh Nighot (IEEE ...
    Newsletter 2017 2017

  • Middleware Architecture for Ad-hoc Social Network
    N Aneja, S Gambhir
    Research Journal of Applied Sciences, Engineering and Technology 13 (9), 690-695 2016

  • Method and System for Profile Matching in Social Networks
    N Aneja, S Gambhir
    US Patent App. 14/981,146 2016

  • Software Design for Social Profile Matching Algorithm to create Ad-hoc social network on top of Android
    S Gambhir, S Mangla, N Aneja
    IEEE International Conference on Computing for Sustainable Global Development 2016

  • Anti-fraud computer implemented method for financial card transaction
    N Aneja, S Aneja
    US Patent App. 2015/0/339,657 2015

  • Geo-Social Semantic Profile Matching Algorithm for Dynamic Interests in Ad-hoc Social Network
    N Aneja, S Gambhir
    IEEE International Conference on Computational Intelligence & Communication 2015

  • Need of Ad-hoc social network based on Users’ Dynamic Interests
    S Gambhir, N Aneja, S Mangla
    IEEE International Conference on Soft Computing Techniques & Implementation 2015

  • Method and System for Profile Matching in Social Networks
    N Aneja, S Gambhir
    IN Patent App. 3105/DEL/2,015 2015

  • Geo-Social Profile Matching Algorithm for Dynamic Interests in Ad-Hoc Social Network
    N Aneja, S Gambhir
    Social Networking 3 (5), 240-247 2014

  • Verification of Forecasts from High Resolution Numerical Weather Prediction Model
    N Aneja, T George
    Research Journal of Applied Sciences, Engineering and Technology 8 (10 2014

  • Ad-hoc Social Network: A Comprehensive Survey
    S Gambhir, N Aneja
    International Journal of Scientific & Engineering Research 4 (8) 2013

TOP PUBLICATIONS

  • Reliable ad-hoc on-demand distance vector routing protocol
    S Khurana, N Gupta, N Aneja
    IEEE International Conference on Networking, International Conference on 2006
    Citations: 36

  • Minimum exposed path to the attack (MEPA) in mobile ad hoc network (MANET)
    S Khurana, N Gupta, N Aneja
    Sixth International Conference on Networking (ICN'07), 16-16 2007
    Citations: 11

  • Ad-hoc Social Network: A Comprehensive Survey
    S Gambhir, N Aneja
    International Journal of Scientific & Engineering Research 4 (8) 2013
    Citations: 9

  • Geo-Social Profile Matching Algorithm for Dynamic Interests in Ad-Hoc Social Network
    N Aneja, S Gambhir
    Social Networking 3 (5), 240-247 2014
    Citations: 7

  • Various Issues in Ad-hoc Social Networks
    N Aneja, S Gambhir
    National Conference on Recent Trends in Computer Science and Information 2012
    Citations: 7

  • Geo-Social Semantic Profile Matching Algorithm for Dynamic Interests in Ad-hoc Social Network
    N Aneja, S Gambhir
    IEEE International Conference on Computational Intelligence & Communication 2015
    Citations: 6

  • Need of Ad-hoc social network based on Users’ Dynamic Interests
    S Gambhir, N Aneja, S Mangla
    IEEE International Conference on Soft Computing Techniques & Implementation 2015
    Citations: 3

  • Piecewise Maximal Similarity for Ad-hoc Social Networks
    S Gambhir, N Aneja, LC De Silva
    Wireless Personal Communications, 1-11 2017
    Citations: 2

  • Options and challenges in Providing Universal Access
    M Aledhari, N Aneja, AK Bashir, R Bennett, J Bielby, HA Hicks, R Johnson, ...
    Retrieved from Internet Initiative IEEE: https://internetinitiative. ieee 2018
    Citations: 1

  • Software Design for Social Profile Matching Algorithm to create Ad-hoc social network on top of Android
    S Gambhir, S Mangla, N Aneja
    IEEE International Conference on Computing for Sustainable Global Development 2016
    Citations: 1

  • Verification of Forecasts from High Resolution Numerical Weather Prediction Model
    N Aneja, T George
    Research Journal of Applied Sciences, Engineering and Technology 8 (10 2014
    Citations: 1

RESEARCH OUTPUTS (PATENTS, SOFTWARE, PUBLICATIONS, PRODUCTS)

Patents
Nagender Aneja and Sapna Gambhir, "Method and System for Ad-Hoc Social Networking and Profile Matching" US 10,264,609 Granted Apr 16, 2019

Histopathologic Cancer Detection, http://kaggle.com/naneja
I am participating in this Kaggle competition to create an algorithm to identify metastatic cancer in small image patches taken from larger digital pathology scans. The data for this competition is a slightly modified version of the PatchCamelyon (PCam) benchmark dataset. Currently, my rank is in the top 6% (65th from 1157).

ISIC 2018: Skin Lesion Analysis Towards Melanoma Detection, http://github.com/naneja/isic2018
The International Skin Imaging Collaboration (ISIC) is an international effort to improve melanoma diagnosis, sponsored by the International Society for Digital Imaging of the Skin (ISDIS). The ISIC Archive contains the largest publicly available collection of quality controlled dermoscopic images of skin lesions. The goal of this challenge is to help participants develop image analysis tools to enable the automated diagnosis of melanoma from dermoscopic images. This challenge is broken into three separate tasks: Task 1: Lesion Segmentation Task 2: Lesion Attribute Detection Task 3: Disease Classification. I participated in Task 3 after the challenge is over and was able to get around 70% accuracy.

Automated Plant Species Recognition, http://github.com/naneja/plants
We created a dataset of 740 images from 11 different plants species and the dataset was divided into 596 images for training the model and 144 images used for testing the model. I implemented transfer learning using Alexnet with PyTorch. The following hyperparameters Arch = ’alexnet’; Batch = 32; Hidden_units = 4096; Epochs = 200; Dropout = 0.5; Learning Rate = 0.01, Optimizer = SGD, Momentum = 0.9 provided best accuracy of 91.7%. We are looking for external funding to develop the project at International Level where we can have a database of medicinal plants from multiple countries.

Device Fingerprinting for Access Control, https://github.com/naneja/device-fingerprinting
Device Fingerprinting (DFP) is a technique to identify devices using Inter-Arrival Time (IAT) of packets and without using any other unique identifier. Our experiments include generating graphs of IATs of 100 and 1000 packets and using Convolutional Neural Network on the generated graphs
to identify a device. We implemented CNN on the IATs graphs for two datasets. The first data set was collected by us for two devices and another dataset is standard public dataset available at http://crawdad.org/gatech/fingerprinting/20140609. We achieved 86% accuracy in the first set and 95% accuracy in the second dataset. Initial results have been published at http://ieeexplore.ieee.org/abstract/document/8600824