2024

A VH, AM Chacko, Cooperative Embedding-A Novel Approach to Tackle the Out-Of-Vocabulary Dilemma in Bot Classification, Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing, 1479-1486

2023

AB Athira, SDM Kumar, AM Chacko, A systematic survey on explainable AI applied to fake news detectio, Engineering Applications of Artificial Intelligence 122, 106087

M George, AM Chacko, Health Passport: A blockchain-based PHR-integrated self-sovereign identity syste, Frontiers in Blockchain 6, 1075083

A Narayan, D Galve, A Chacko, AI Enabled Cloud Service to detect Conversion Fraud in E-commerc, Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing, 45-48

A AB, SDM Kumar, AM Chacko, A systematic survey on explainable AI applied to fake news detection

AB Athira, SD Madhu Kumar, AM Chacko, A Review on Fake News Identification in Online Social Network, Advances in Signal Processing, Embedded Systems and IoT: Proceedings of …

PT Sheejamol, GVSC Teja, B Balaram, PS Rao, A Chacko, Mitr-Face Emotion Recognition Based Adaptive E-Learning Platform, 2023 IEEE 9th International Women in Engineering (WIE) Conference on …

PT Sheejamol, H Pandey, AM Chacko, FreeSpeech-Assistive Technology Tool for Augmentative and Alternative Communication in Individuals With Autism Spectrum Disorder, 2023 IEEE 11th Region 10 Humanitarian Technology Conference (R10-HTC), 704-708

M Sreenivasan, S Dhar, A Chacko, DeepPCPS: Deep Personalized Care Through Patient Similarity, 2023 IEEE 11th Region 10 Humanitarian Technology Conference (R10-HTC), 685-690

2022

M George, A Mary Chacko, MediTrans—Patient‐centric interoperability through blockchainInternational Journal of Network Management 32 (3), e2187

A Narayan, SD Madhu Kumar, AM Chacko, A review of financial fraud detection in e-commerce using machine learning, International Conference on Frontiers of Intelligent Computing: Theory and …

SD Kumar, AM Chacko, Towards Smart Fake News Detection Through Explainable AI, arXiv preprint arXiv:2207.11490

M Sreenivasan, S Dhar, A Chacko, PCPS: Personalized Care through Patient Similarity, 2022 IEEE Region 10 Symposium (TENSYMP), 1-6

, M George, AM ChackoA patient-centric interoperable, quorum-based healthcare system for sharing clinical data, 2022 International Conference for Advancement in Technology (ICONAT), 1-6

AB Athira, A Tiwari, SDM Kumar, AM Chacko, Multimodal Data Fusion Framework For Fake News Detection, 2022 IEEE 19th India Council International Conference (INDICON), 1-4

SD Madhu Kumar, AM Chacko, Towards Smart Fake News Detection Through Explainable AI, arXiv e-prints, arXiv: 2207.11490

A Narayan, D Tharun, MK SD, AM Chacko, Elevating GraphSAGE for Covertness: A Strategic Approach to Unmasking Fake Reviews in E-Commerce

2021

M Sreenivasan, AM Chacko, Interoperability issues in EHR systems: Research directions, Data analytics in biomedical engineering and healthcare, 13-28

MA Sahla Habeeba, A Lijiya, AM Chacko, Detection of deepfakes using visual artifacts and neural network classifier, Innovations in Electrical and Electronic Engineering: Proceedings of ICEEE …

SM Ajwalia, AM Chacko, SDM Kumar, Integrating Cloud and Health Informatics: Approaches, Applications and Challenges , Cloud Security, 15-28

A Chaudhary, M George, AM Chacko, Extractive summarization of EHR notes, Proceedings of the International Conference on Paradigms of Computing …

2020

M Sreenivasan, AM Chacko, A case for semantic annotation of EHR, 2020 IEEE 44th Annual Computers, Software, and Applications Conference …

2019

V Mathew, T Toby, A Chacko, A Udhayakumar, Person re-identification through face detection from videos using Deep Learning, 2019 IEEE International Conference on Advanced Networks and …

M George, A Chacko, SK Kurien, Proactive diabetes management: research directions, Proceedings of the 20th International conference on distributed computing …

M George, AM Chacko, SK Kurien, N Ali, Diabetes care in cloud-research challenges, Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, 160-162

AM Chacko, Session details: Theme: Information systems: HI-Health informatics track, Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing

2018

V Mathew, AM Chacko, A Udhayakumar, Prediction of suitable human resource for replacement in skilled job positions using Supervised Machine Learning, 2018 8th International Symposium on Embedded Computing and System Design …

AM Chacko, JS Medicherla, SD Madhu Kumar, Anomaly detection in MapReduce using transformation provenance, Advances in Big Data and Cloud Computing, 91-99

R Pawar, A Jangam, V Janardhana, RR Raje, M Pradhan, P Mulay, ..., Diabetes Readmission Prediction using Distributed and Collaborative Paradigms, 2018 IEEE Punecon, 1-6

R Zachariah, K Akash, MS Yousef, AM Chacko, AdultSwine: A case study, 2018 International Conference on Advances in Computing, Communications and …

K, A, Zachariah R, Yousef MS, Chacko AM.  2018.  Android Malware Detection a Survey, 21 Dec. IEEE International Conference on Circuits and Systems (ICCS 2017). , Trivandrum

2017

R Zachariah, K Akash, MS Yousef, AM Chacko, Android malware detection a survey, 2017 IEEE international conference on circuits and systems (ICCS), 238-244

AM Chacko, A Cuzzocrea, SD Madhu Kumar, Automatic Big Data Provenance Capture at Middleware Level in Advanced Big Data Frameworks, Connected Environments for the Internet of Things: Challenges and Solutions …

2016

AM Chacko, M Fairooz, SD Madhu Kumar, Provenance-aware NoSQL databases, Security in Computing and Communications: 4th International Symposium, SSCC …

2015

AM Chacko, AM Basheer, SDM Kumar, Capturing provenance for big data analytics done using SQL interfac, 2015 IEEE UP Section Conference on Electrical Computer and Electronics …

R, AD, Chacko AM, Pathari V.  2015.  Implementing Message Integrity in Mobile Phones (Android platform) Using Identity Based Encryption. International Journal of Applied Engineering Research (IJAER). 10(55):.2623-2627.

2014

P Badharudheen, AM Chacko, SD Madhu Kumar, Making an Application Provenance-Aware through UML–A General Scheme, International Conference on Security in Computer Networks and Distributed …

2013

P Badharudheen, AM Chacko, SD Madhukumar, A Scheme for Generating Provenance-aware Applications Through UML, International Journal of Management and Information Technology 6 (3)

AM Chacko, S Kumar, V Pathari, Generalized Architecture to Capture End to End Provenance in a Syste, 2013 International Conference on IT Convergence and Security (ICITCS), 1-4

DBLP Link

Google Scholar Link

PhD

1. Merlin George ( Blockchain based PHR)

2. Sreenivasan M (Personalized Patient Care)

3. Akhila (Fake Reviews in OSN)

4. Sruthi Paul (Online Financial Fraud)

Co Guide with Prof. Madhu Kumar S D

1. Abhay Narayanan (Fake Reviews in Online Digital Marketing)

2. Athira A B (Explainable AI techniques for Fake News Detection)

3. Sheejamol P (Assistive Technology for Intellectually Disabled)

Co Guide with Dr Lijiya A

1. Sahla Habeeba ( Deep Fake )

MTech Projects

1. Ms. Neethu Manikandan ( Explainable AI ) with Prof. Madhu Kumar S D

2. Mr. Dameera Tharun (Fake Review) with Prof Madhu Kumar S D

3. Mr. Tejas Jambhule ( Personalized Care for Patients)

4. Mr.Divyanshu Verma (Personalized Care for Patients)

BTech Projects 

Team -1 Fake Social Media Profile Detection using Deep Learning Techniques

Team Members details 

1. Mr. Aravind I M. B180461CS  aravind_b180461cs@nitc.ac.in

2. Mr. Sreeram M.  B180749CS  sreeram_b180749cs@nitc.ac.in

3. Umarul Farooque. B180455CS  umarul_b180455cs@nitc.ac.in

Team -2 Developing tools for enriching learning experience for intellectually disabled using Augmented Reality and AI

Team Members details 

1. Rahul Dalkari        B190773CS.  rahul_b190773cs@nitc.ac.in

2. Tejas Girhe.          B190828CS.  girhetejas_b190828cs@nitc.ac.in

3. Esha Pandya.       B190293CS.   esha_b190296cs@nitc.ac.in

Team -3 Developing tools to enrich learning experience for intellectually disabled using Artificial Intelligence

Team Members details 

1. G.V.S. Chetan Teja.      B190436CS.    venkatasaichetan_b190436cs@nitc.ac.in

2.  Battini Balaram.         B190447CS.     balaram_b190447cs@nitc.ac.in

3.  Putta Suman Rao.     B190900CS.     sumanrao_b190900cs@nitc.ac.in

Team -4 Fake profile detection in STAR MAKER app using deep learning and machine learning techniques

Team Members details 

1. Venkata Akhil.       B190157CS.      venkataakhil_b190157cs@nitc.ac.in

2.  Prashanth.           B190187CS.       prashanth_b190187cs@nitc.ac.in

3.  Abhinav.              B190366CS.        abhinav_b190366cs@nitc.ac.in