Vinayakumar R
Ph.D. Student (Cyber Security) & Cognitive Security Practitioner
Computational Engineering and Networking
Amrita Vishwa Vidyapeetham
Academic Site
Contact: vinayakumarr77[at]gmail.com, r_vinayakumar[at]cb.amrita.edu, 91-9487951055

CV

I am on the job market for an industry machine learning research position.

I am fascinated by a wide variety of problems concerning computer security and developing AI based solutions for problems in computer security.


I am a fourth-year Ph.D. student at the Amrita Vishwa Vidyapeetham in Computational Engineering and Networking (CEN). I am with the Cybersecurity-Lab-at-CEN and Computational Thinking-Lab-at-CEN , advised by Prof. Soman KP on Artificial intelligence and most specifically, Machine Learning, Data mining and Deep learning, Big Data Analytics, Natural language processing, Signal and Image processing and Causal inference for Cyber Security. I spent the first two years of my Ph.D. working on classical machine learning for various use-cases of Cyber Security and later on worked towards application of deep learning for Cyber Security. I am particularly interested in improving the malicious detection rate through the use of Artificial Intelligence (AI), including machine learning, data mining, deep learning, natural language processing and image processing. I am finishing a Ph.D. at Amrita Vishwa Vidyapeetham. I am practicing research in multidiciplinary areas, involved as a non-primary co-author on several papers and my detailed publications avilable on my Google Scholar page.

I strongly believe in open science and reproducible research and actively publish code on my Github profile.

I have organized a shared task on “Detecting Malicious Domain names” in Cyber security domain. More details avilable at DMD2018.

AmritaDGA data set is publically avilable for research purpose in the domain of cyber security mainly detecting malicious domain names, bot net detection, detecting DGA algorithms.

Currently working on Adversarial Machine Learning for Cyber Security particularly Intrusion detection, malware detection, Domain generation algorithm analysis and IOT botnet detection.

News

Nov 2018 Paper accepted in ICCSCS2018, 10‐12 December 2018 in Melbourne, Australia - Ranosmware Triage Using Deep Learning: Twitter as a Case Study.
Dec 2018 Book chapter accepted in "Deep Learning Applications for Cyber Security" - Detecting Domain Generation Algorithms Using Deep Learning, Vinayakumar R, Soman KP, Prabaharan Poornachandran, Mamoun Alazab, and Alireza Jolfaei.
Dec 2018 Book chapter accepted in "Deep Learning Applications for Cyber Security" - Using Various Deep Neural Networks to Detect Domain Generation Algorithm Attacks, Amara Kumar, Harish Thodupunoori, Vinayakumar R, Soman KP, Prabaharan Poornachandran, Mamoun Alazab and Sitalakshmi Venkatraman.
Dec 2018 Handling a workshop on Application of machine learning for cyber security. More details avilable MLC18
Jan 2019 Handling a workshop on AI in CS - Modern Artificial Intelligence Techniques for Cyber Security. More details avilable AI in CS

Recent Accepted publications

  • Vinayakumar R, Soman kp, Prabaharan poornachandran and Mohamed Elhoseny, “DeepSpamPhishNet (DSPN): Deep learning Framework for Cyber Threat Situational Awareness based on Email and URL Data Analysis”, Springer-Bookchapter

  • Vinayakumar R, Soman kp and Prabaharan poornachandran, “Application of Deep Learning Architectures for Cyber security”, Springer-Bookchapter

  • Vinayakumar R, Soman kp, Prabaharan poornachandran and Mohamed Elhoseny, “I-DGA-DC-Net: Improved DGA Domain Detection and Categorization using Deep learning Architectures with Classical Machine learning Algorithms”, Springer-Bookchapter

  • Harikrishnan NB, Vinayakumar R, and Soman Kp, “Time Split based pre-processing for Malicious URL Detection”, Springer-Bookchapter

  • Anson simon, Mr Vinayakumar R, Sowmya V, Soman KP and Gopalakrishnan EA, “A Deep Learning Approach for Patch Based Disease Diagnosis from Microscopic Images”, Elsevier-Bookchapter

Research interests

  • Application of Data mining, Machine learning (including Deep learning), Natural language processing and Image processing for Cyber Security

  • Big Security Data Analytics

  • Cyber Threat Situational Awareness Data Analysis- DNS logs, Spam and Phishing URL and Email, Social media security related data

  • Malware, Intrusion, Anamoly and Fraud Detection

  • Internet Traffic Analysis

  • Adversarial Machine Learning for Cyber Security

  • Application of ata mining, Machine learning (including Deep learning), Natural language processing and Image processing for Program Analysis

Education

Aug 2015 - Present Ph.D. in Computer Science
Amrita Vishwa Vidyapeetham, Coimbatore
June 2011 - May 2014 Masters of Computer Application (MCA)
Amrita Vishwa Vidyapeetham, Mysore
June 2008 - May 2011 Bachelor of Computer Application (BCA)
JSS College, Mysore

Research Experience

Aug 2015 - Present Research Associate, Prof. Soman KP
Data mining, Machine learning, Deep learning, Cyber Security, Natural language processing
Jun 2014 - Jul 2015 Research Assistant, Prof. Soman KP
Block-based programming development for Indian K-12 Schools
Feb 2017 Visiting Research Intern, Lakhshya Cyber Security Labs

Teaching Experience

CN733 Neural Network and Deep Learning, (May 2017 - Nov 2017), TA
16CN701 Computational Methods for Cryptography, (May 2017 - Nov 2017), TA
16CN703 Deep learning for visual recognition, (Dec 2017 - May 2018), TA
16CN701 Computational Methods for Cryptography, (May 2018 - Nov 2018), TA
16CN703 Deep learning for visual recognition, (Dec 2018 - Apr 2019), TA

Service

Reviewer

ICACCI 2018, DMD 2018, IWSPA-AP 2018, ICIT 2019

Program Chair

DMD 2018

Admissions

CEN, 2016

PhD Coursework

  • MA607 - Linear Algebra
  • CN613 - Computational optimization theory- linear and non-linear methods
  • CY603 - Pattern Recognition and Machine Learning
  • CN624 - Scientific Computing
  • CN703 - Computational Methods for Cryptography
  • CN733 - Neural network & Deep learning
  • CY800 - Research Methodology
  • Foundation Mathematics
  • Computational Thinking

Skills

Languages

C, C++, Java, Scala, Python, Basics of R, Basics of Julia

Web development

Html, CSS, JavaScript, JSON, JQuery, Php, Bootstrap, XML, Jsp

Educational Platforms

MIT Scratch, Snap Berkley, BYOB, Scribble, Beetle Blocks

Frameworks

Spark Mllib, Apache Mahout, XG-boost, Scikit-learn, Dato, Hpelm, Gurls, LibSVM, TensorFlow, Theano, Keras, Deeplearning4j, Torch, Basics of Caffe, DeepChem, DragoNN, Hadoop, Apache Spark, Weka and Matlab, Tetrad, Pcalg

Database

MySQL, Introduction to Oracle, Apache Cassandra

Documentation Tool

LibreOffice, Microsoft Office, and Latex

Participation in NLP and Cyber Security Shared Tasks

  • Named Entity rEcognition and Linking (#Micropost2015 NEEL): Named Entity Recognition and Linking.

  • International Cybersecurity Data Mining Competition CDMC 2016.

  • VarDial 2017 - Fourth Workshop on NLP for Similar Languages, Varieties, and Dialects.

  • Stance and Gender Detection in Tweets on Catalan Independence@Ibereval 2017.

  • WASSA-2017 Emotion Intensity Task.

  • DEFT 2017 Text Search @ TALN / RECITAL 2017 Opinion analysis and figurative language in tweets in French.

  • International Cybersecurity Data Mining Competition CDMC 2017.

  • 2nd Social Media Mining for Health Applications Shared Task at AMIA 2017.

  • International Cybersecurity Data Mining Competition CDMC 2018.

Co-organized the following events in the department of Computational Engineering and Networking, Amrita Vishwa Vidyapeetham

Invited Talks

  • Title: Deep Learning in IEEE (3451) at Kalasalingam Academy of Research and Education, Virudhunagar, Saturday, 3 February 2018. [ Tutorial]

  • Title: Deep Learning for Bio-medical Applications in ICMR sponsored Faculty Development Program (FDP) at Mepco Schlenk Engineering College, Sivakasi, Wednesday, 17 January 2018. [ Tutorial]

  • Title: Deep Learning for Bio-medical Applications in TEQUIP sponsored Faculty Development Program (FDP) at TKM College of Engineering, Kollam, 14 December 2017. [ Tutorial]

  • Title: Deep Learning for Cyber Security use cases in Bharathiar University at the University conference hall on 21/11/17.

  • Title: Deep Learning for Chemistry in DeepChem 2017: Deep Learning & NLP for Computational Chemistry, Biology & Nano-materials, Conducted by the Department of Computational Engineering and Networking, Amrita Vishwa Vidyapeetham, December 22-24, 2017. [ Tutorial]

  • Title: Deep learning for Healthcare and financial data analytics in DeepSci 2017 Workshop: Deep Learning for Healthcare and Financial Data Analytics, Conducted by the Department of Computational Engineering and Networking, Amrita Vishwa Vidyapeetham, Saturday, December 16, 2017. [ Tutorial]

  • Title: Deep Learning for Blockchain in Blockchain 2017 Workshop: Blockchain and Machine Learning, Conducted by the Department of Computational Engineering and Networking, Amrita Vishwa Vidyapeetham, Saturday, December 16, 2017. [ Tutorial]

  • Title: Deep Learning for Cyber Security use cases in AISec 2017 Workshop: Modern Artificial Intelligence (AI) and Natural Language Processing (NLP) Techniques for Cyber Security, Conducted by the Department of Computational Engineering and Networking, Amrita Vishwa Vidyapeetham, Saturday, October 28, 2017. [ Tutorial]

  • Title: Deep learning for Cyber Security In Deep learning Workshop organized by Amrita University, Coimbatore. [ Tutorial]

  • Demo on LSTM based Android Malware classification in TEQIP II sponsored research workshop on deep learning, PSG Tech, Coimbatore. [ Tutorial]

Certifications acquired from Online Coursework

  • Neural Networks and Deep Learning, Coursera, Aug. 2017 certificate
  • Deep Learning with Tensorflow, Big Data University, Dec. 2016 certificate
  • Deep Learning Prerequisites: The Numpy Stack in Python certificate
  • Big Data, Big Data University, Jul. 2016 certificate
  • Big Data Foundations, IBM, Jul. 2016certificate
  • Functional Programming Principles in Scala, Coursera, Jul. 2016 certificate
  • Hadoop, Big Data University, Jul. 2016 certificate
  • Spark Fundamentals, Big Data University, Jul. 2016 certificate
  • HTML and CSS, Udemy, Jan. 2015 certificate

Certificates acquired from paper presentation in conference

  • Detecting Android Malware using Long Short-term Memory-LSTM
  • Evaluating Deep Learning Approaches to Characterize and Classify the DGAs at Scale
  • Evaluating Deep learning Approaches to Characterize, Signalize and Classify malicious URLs
  • Detecting Malicious Domain Names using Deep Learning Approaches at Scale
  • Evaluating Shallow and Deep networks for SSH Traffic Analysis using Flow-based mechanisms
  • Evaluating Effectiveness of Shallow and Deep Networks to Intrusion Detection System
  • Deep Android Malware Detection and Classification
  • Long Short-Term Memory based Operation Log Anomaly Detection
  • Deep Encrypted Text Categorization
  • Applying Convolutional Neural Network for Network Intrusion Detection
  • Secure Shell (SSH) Traffic Analysis with Flow-based Features Using Shallow and Deep networks
  • Applying Deep Learning Approaches for Network Traffic Prediction
  • Evaluating Shallow and Deep Networks for Ransomware Detection and Classification
  • Real-time Detection of Atrial Fibrillation from Short time single lead ECG traces using Recurrent neural networks
  • CT-Blocks Analyser: Analysing CT-Blocks Projects
  • Comparative Study of the Detection of Malicious URLs Using Shallow and Deep Networks
  • Digital Storytelling Using Scratch: Engaging Children Towards Digital Storytelling
  • Fractal Geometry: Enhancing Computational Thinking with MIT Scratch
  • DB-Learn: Studying Relational Algebra Concepts by Snapping Blocks
  • Map-Blocks: Playing with Online Data and Infuse to Think in a Computational Way
  • Alg-Design: Facilitates to Learn Algorithmic Thinking for Beginners
  • CT-Blocks: Learning Computational Thinking by Snapping Blocks
  • Evaluating Shallow and Deep Neural Networks for Network Intrusion Detection Systems in Cyber Security
  • Building-Blocks: Generating 3D Design by Snapping Blocks
  • Automated detection of diabetes using CNN and CNN-LSTM network and heart rate signals
  • Automated detection of cardiac arrhythmia using deep learning techniques
  • Diabetes detection using deep learning algorithms
  • DeepMalNet: Evaluating shallow and deep networks for static PE malware detection
  • Diabetes detection using HRV and Microscopy image processing

Certificates acquired from participating in workshops

  • Web Application And Mobile Data Security
  • Data mining for Healthcare
  • Software Testing

All Publications

Google Scholar

Book Chapter

Scalable Framework for Cyber Threat Situational Awareness based on Domain Name Systems Data Analysis
Vinayakumar R, Prabaharan Poornachandran and Soman KP
Big data in Engineering Applications Springer
[chapter]
A deep-dive on Machine learning for Cybersecurity use cases
Vinayakumar R, Soman KP, Prabaharan Poornachandran and Pradeep Menon
Machine Learning for Computer and Cyber Security: Principle, Algorithms, and Practices, CRC Press
[chapter]
AmritaDGA: A Comprehensive Data set for Domain Generation Algorithms (DGAs)
Vinayakumar R, Soman KP, Prabaharan Poornachandran, Mamoun Alazab, Sabu M. Thampi, Jyothsna P V and Amara Dinesh Kumar
Big Data Recommender Systems: Recent Trends and Advances, IET
In Press
Deep-Segregation of Plastic (DSP): Segregation of plastic and non-plastic using deep learning
Sreelakshmi K, Vinayakumar R and Soman KP
Big Data Recommender Systems: Recent Trends and Advances, IET
In Press
Machine Learning Based Cyber Security
Harikrishnan NB, Vinayakumar R, Soman KP, Annappa B, and Mamoun Alazab
Big Data Recommender Systems: Recent Trends and Advances, IET
In Press

Journal Papers

Detecting Android Malware using Long Short-term Memory-LSTM
Vinayakumar R, Soman KP, Prabaharan Poornachandran and Sachin Kumar S
Journal of Intelligent and Fuzzy Systems - IOS Press
[paper]
Evaluating Deep Learning Approaches to Characterize and Classify the DGAs at Scale
Vinayakumar R, Soman KP, Prabaharan Poornachandran and Sachin Kumar S
Journal of Intelligent and Fuzzy Systems - IOS Press
[paper]
Evaluating Deep learning Approaches to Characterize, Signalize and Classify malicious URLs
Vinayakumar R, Soman KP and Prabaharan Poornachandran
Journal of Intelligent and Fuzzy Systems - IOS Press
[paper]
Detecting Malicious Domain Names using Deep Learning Approaches at Scale
Vinayakumar R, Soman KP and Prabaharan Poornachandran
Journal of Intelligent and Fuzzy Systems - IOS Press
[paper]
Evaluation of Recurrent Neural Network and its Variants for Intrusion Detection System (IDS)
R Vinayakumar, KP Soman, Prabaharan Poornachandran
International Journal of Information System Modeling and Design (IJISMD)
[paper]
A Comparative Analysis of Deep learning Approaches for Network Intrusion Detection Systems (N-IDSs)
R Vinayakumar, KP Soman, Prabaharan Poornachandran
International Journal of Digital Crime and Forensics (IJDCF)
In Press
ScaleNet: Scalable and Hybrid Framework for Cyber Threat Situational Awareness Based on DNS, URL, and Email Data Analysis
R Vinayakumar, KP Soman, Prabaharan Poornachandran, Vysakh S Mohan, Amara Dinesh Kumar
Journal of Cyber Security and Mobility
[paper]
DeepMalNet: Evaluating shallow and deep networks for static PE malware detection
R Vinayakumar, KP Soman
ICT Express
[paper]
Diabetes detection using deep learning algorithms
Swapna G, R Vinayakumar, KP Soman
ICT Express
[paper]

Conference Papers

Evaluating Shallow and Deep Networks for Secure Shell (SSH) Traffic Analysis
Vinayakumar R, Soman KP and Prabaharan Poornachandran [paper] [slides]
Evaluating Effectiveness of Shallow and Deep Networks to Intrusion Detection System
Vinayakumar R, Soman KP and Prabaharan Poornachandran
[paper] [slides]
Deep Android Malware Detection and Classification
Vinayakumar R, Soman KP and Prabaharan Poornachandran
[paper] [slides]
Long Short-Term Memory based Operation Log Anomaly Detection
Vinayakumar R, Soman KP and Prabaharan Poornachandran
[paper] [slides]
Deep Encrypted Text Categorization
Vinayakumar R, Soman KP and Prabaharan Poornachandran
[paper] [slides]
Applying Convolutional Neural Network for Network Intrusion Detection
Vinayakumar R, Soman KP and Prabaharan Poornachandran
[paper] [slides]
Secure Shell (SSH) Traffic Analysis with Flow based Features Using Shallow and Deep networks
Vinayakumar R, Soman KP and Prabaharan Poornachandran
[paper] [slides]
Applying Deep Learning Approaches for Network Traffic Prediction
Vinayakumar R, Soman KP and Prabaharan Poornachandran
[paper] [slides]
Evaluating Shallow and Deep Networks for Ransomware Detection and Classification
Vinayakumar R, Soman KP, K.K.Senthil Velan and Shaunak Ganorkar
[paper] [slides]
Instantaneous Heart Rate as a Robust Feature for Sleep Apnea Severity Detection using Deep Learning
Rahul K. Pathinarupothi, Vinaykumar R, Ekanath Rangan, Gopalakrishnan E., and Soman K. P.
[paper] [slides]
Single Sensor Techniques for Sleep Apnea Diagnosis using Deep Learning
Rahul K. Pathinarupothi, Dhara Prathap J., Ekanath Rangan, Gopalakrishnan E., Vinaykumar R, and Soman K. P.
[paper]
Real-time Detection of Atrial Fibrillation from Short time single lead ECG traces using Recurrent neural networks
Sujadevi VG., Soman KP., and Vinayakumar R
Intelligent Systems Technologies and Applications (ISTA'17), Springer
[paper]
Anomaly detection in Phonocardiogram employing Deep learning
Sujadevi VG., Soman KP., Vinayakumar R and Prem Sankar AU.
4th International Conference on Computational Intelligence in Data Mining (ICCIDM-2017), Springer
[paper]
Deep models for Phonocardiography (PCG) classification
Sujadevi VG., Soman KP., Vinayakumar R and Prem Sankar AU.
[paper]
Stock Price Prediction Using LSTM, RNN And CNN-Sliding Window Model
Sreelekshmy Selvin., Vinayakumar R, Gopalakrishnan E., Vijay Krishna Menon., Soman K.P.,
6th International Conference on Advances in Computing, Communications and Informatics (ICACCI2017)
[paper]
AMRITA-CEN@SAIL2015: Sentiment analysis in Indian languages
Shriya Se, Vinayakumar, R., Anand Kumar M., and Soman K.P.
MIKE 2015 Proceedings of the Third International Conference on Mining Intelligence and Knowledge Exploration, Springer
[paper]
Predicting the Sentimental Reviews in Tamil Movie using Machine Learning Algorithms
Shriya Se, Vinayakumar R, Anand Kumar M., and Soman K.P.
Indian Journal of Science and Technology (IJST)
[paper]
Deep Power: Deep Learning Architectures for Power Quality Disturbances Classification
Neethu Mohan, Soman K.P, and Vinayakumar R
[paper]
S.P.O.O.F Net: Syntactic Patterns for identification of Ominous Online Factors
Vysakh S Mohan, Vinayakumar R, Soman KP and Prabaharan Poornachandran
[paper]
Automated detection of cardiac arrhythmia using deep learning techniques
Swapna G, Soman KP and Vinayakumar R
[paper]
Diabetes: Automated detection of diabetes using CNN and CNN-LSTM network and heart rate signals
Swapna G, Soman KP and Vinayakumar R
[paper]
Deep Learning Models for the Prediction of Rainfall
Aswin S, Geetha P and Vinayakumar R
[paper]
Evaluating Shallow and Deep Neural Networks for Network Intrusion Detection Systems in Cyber Security
Vigneswaran K Rahul, R Vinayakumar, KP Soman, Prabaharan Poornachandran
[paper]
Alg-Design: facilitates to learn Algorithmic thinking for beginners
Vinayakumar R, Soman KP and Pradeep Menon
[paper]
CT-Blocks Analyser: Analysing CT-Blocks Projects
Vinayakumar R, Soman KP and Pradeep Menon
[paper]
Digital Storytelling Using Scratch: Engaging Children Towards Digital Storytelling
Vinayakumar R, Soman KP and Pradeep Menon
[paper]
Fractal Geometry: Enhancing Computational Thinking with MIT Scratch
Vinayakumar R, Soman KP and Pradeep Menon
[paper]
DB-Learn: Studying Relational Algebra Concepts by Snapping Blocks
Vinayakumar R, Soman KP and Pradeep Menon
[paper]
Map-Blocks: Playing with Online Data and Infuse to Think in a Computational Way
Vinayakumar R, Soman KP and Pradeep Menon
[paper]
CT-Blocks: Learning Computational Thinking by Snapping Blocks
Vinayakumar R, Soman KP and Pradeep Menon
[paper]
Building-Blocks: Generating 3D Design by Snapping Blocks
Vinayakumar R, Soman KP and Pradeep Menon
[paper]
Predicting Market Prices Using Deep Learning Techniques
Dileep G Menon Nishanth C P, Dr. V K Gopal, Vinayakumar R, Lakshmi Nambiar
[paper]
Shallow CNN with LSTM Layer for Tuberculosis Detection in Microscopic Images
Anson Simon, Vinayakumar R, Sowmya V and Soman K P
In Press
Deep neural network for phonocardiogram signal classification
Mohammed Harun Babu R, Sai Bhanuja B, Vinayakumar R, Sowmya V
In Press
Performance comparision of machine learning algorithms for malaria detection using micrscopic images
Naren Babu R, Saiprasath G, Arunpriyan J, Vinayakumar R, Sowmya V and Soman K P
In Press
Deep Rectified System for High-speed Tracking in Images
Vysakh S Mohan, Vinayakumar R, Sowmya V
In Press

Shared task working note

DeepAnti-PhishNet: Applying Deep Neural Networks for Phishing Email Detection
Vinayakumar R, Barathi Ganesh HB, Anand Kumar M, Soman KP, Prabaharan Poornachandran
[paper]
ARES: Automatic Rogue Email Spotter
Vysakh S Mohan, JR Naveen, R Vinayakumar, KP Soman
[paper]
Distributed Representation using Target Classes: Bag of Tricks for Security and Privacy Analytics
Barathi Ganesh HB, Vinayakumar R, Anand Kumar M, Soman KP
[paper]
PED-ML: Phishing Email Detection Using Classical Machine Learning Techniques
Anu Vazhayil, NB Harikrishnan, R Vinayakumar, KP Soman
[paper]
A Machine Learning approach towards Phishing Email Detection
NB Harikrishnan, R Vinayakumar, KP Soman
[paper]
Deep Learning Based Phishing E-mail Detection
M Hiransha, Nidhin A Unnithan, R Vinayakumar, KP Soman
[paper]
Machine Learning Based Phishing E-mail detection
Nidhin A Unnithan, NB Harikrishnan, S Akarsh, R Vinayakumar, KP Soman
[paper]
Detecting Phishing E-mail using Machine learning techniques
Nidhin A Unnithan, NB Harikrishnan, R Vinayakumar, KP Soman, Sai Sundarakrishna
[paper]
NLP CEN AMRITA@ SMM4H: Health Care Text Classification through Class Embeddings
Barathi Ganesh Hullathy Balakrishnan, Anand Kumar Madasamy Vinayakumar, Soman Kotti Padannayil
[paper]
NLP CEN AMRITA@ SMM4H: Health Care Text Classification through Class Embeddings
Barathi Ganesh Hullathy Balakrishnan, Anand Kumar Madasamy Vinayakumar, Soman Kotti Padannayil
[paper]
Amrita-cen@ neel: Identification and linking of twitter entities
HB Barathi Ganesh, N Abinaya, M Anand Kumar, R Vinayakumar, KP Soman
[paper]
deepCybErNet at EmoInt-2017: Deep Emotion Intensities in Tweets
Vinayakumar R and Premjith B and Sachin Kumar S and Soman K P
[paper]
Deep Stance and Gender Detection in Tweets on Catalan Independence@ Ibereval 2017
Vinayakumar R, Sachin Kumar S, Premjith B, Prabaharan P, and Soman KP
[paper]
DEFT 2017-Texts Search@ TALN/RECITAL 2017: Deep Analysis of Opinion and Figurative language on Tweets in French
R Vinayakumar, Sachin Kumar, B Premjith, P Prabaharan, KP Soman
[paper]

arxiv

Deep-Net: Deep Neural Network for Cyber Security Use Cases
RNNSecureNet: Recurrent neural networks for Cybersecurity use-cases
DeepImageSpam: Deep Learning based Image Spam Detection
A Brief Survey on Autonomous Vehicle Possible Attacks, Exploits and Vulnerabilities
Enhancing Computational Thinking with MIT Scratch and L-System
Using MIT Scratch to Teach Recursion for Novices
Enhancing Computational Thinking with MIT Scratch and Recursion
Protein Family Classification using Deep Learning
DeepProteomics: Protein family classification using Shallow and Deep Networks
A short review on Applications of Deep learning for Cyber security
A Deep Learning Approach for Similar Languages, Varieties and Dialects
Emotion Detection using Data Driven Models

Collaborative Research with PhD students

  • Barathi Ganesh H. B. - Application of NLP for Health Data Analysis
  • Sachin Kumar S and Premjith B - Application of machine learning with NLP approaches for Social media data analysis
  • Neethu Mohan - Deep learning architectures for power quality disturbances classification
  • Rahul K Pathinarupothi - Deep learning for Sleep Apnea Detection

Tentative Thesis Committee

  • Prof Soman KP, Computational Engineering and Networking, Amrita Vishwa Vidyapeetham
  • Prof Ramachandran KI, Computational Engineering and Networking, Amrita Vishwa Vidyapeetham
  • Prof Anand Kumar M, Computational Engineering and Networking, Amrita Vishwa Vidyapeetham
  • Prof Govind D, Computational Engineering and Networking, Amrita Vishwa Vidyapeetham

Master Students working with me

  • Harikrishnan NB, 2016 June-2018 May - Machine learning based Cyber Security.
  • Akarsh S, 2017 June-2019 May - Application of Machine learning and Image processing for Malware Analysis.
  • Amara Dinesh Kumar, 2018 June-2019 May - Application of machine learning for DGA, URL and Spam analysis, Image spam detection, Vehicular security.
  • Anu Vazhayil, 2017 Dec-2018 Oct - Deep learning for URL and Phishing Email Analysis, Application of machine learning and deep learning for protomics and Genomics.
  • Vysakh S Mohan, 2017 Nov-2018 May - Deep learning for DGA, URL and Phishing Email Analysis.
  • Naveen JR, 2018 Jan-May - Application of NLP and Deep learning for Phishing Email Analysis.
  • Hirnsha M, 2018 Jan-May - Application of Convolutional neural network for Phishing Email Analysis.
  • Nidhin A Unnithan, 2018 Jan-May - Application of Classicla machine learning algorithms and Deep learning architectures for Phishing Email Analysis.
  • Sreelekshmy Selvin, 2017 Nov-2018 May - Application of LSTM, RNN and CNN-sliding window model for Stock price prediction.
  • S Aswin, 2018 Jan-May - Deep Learning Models for the Prediction of Rainfall.
  • V Athira, 2018 Jan-May - Application of Deep learning architectures for Air Quality Prediction.
  • Anson Simon, 2018 Jan-May - Application of Deep learning for Microsscopy Image Analysis.
  • Naveen Kumar KS, 2017 June-2019 May - Application of Deep learning for Protein Sequence Analysis, Emotion detection in Social media data.
  • Mohammad Harun Babu, 2017 June-2019 May - Application of Deep learning for Cyber Security.
  • Sai prasad, Naren Babu and Arun Kumar, 2018 Jan-May - Machine learning for Microscopy image analysis.
  • Shriya Se, 2015 June-Dec 2016, Sentiment analysis in Indian languages.
  • Sriram S, 2018 Nov-2019 May, Adverserial machine learning for Cyber Security
  • Sreelakshmi S, 2018 Jan-2018May, Deep learning and Image processing for Plastic and Non-plastic seggregation
  • Shashank Anivilla and Anupama, 2018 Jan-2019 May - Malware Analysis
  • Rahul vigneshwaran, 2018 May-2018 Oct - Deep neural networks for Intrusion detection
  • Vidya Prasad, 2018 Nov - May 2019 - Deep learning based Sanskrit Sandhi splitting

Recent Blog Posts

Malicious Url January 17, 2018
Dga January 17, 2018
Ai For Security January 16, 2018

View all

Fun Side Projects


Last updated on 2019-12-09