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Dr. Thulasi Bikku

Associate Professor, Computer Science and Engineering,School of Computing Amaravati.

Qualification: B.Tech(IT), M.Tech(CSE), Ph.D(CSE), Post-doctral
b_thulasi@av.amrita.edu
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Research Interest: Artificial Intelligence, Machine Learning, Deep Learning, Explainable AI, Quantum Machine Learning, Computer Vision, Healthcare Analytics, and Cybersecurity, Climate Modeling, Biomedical data analysis, IoT systems, and Renewable energy applications,

Bio Publications Peer Reviewed FDP / Workshops Research Talks Awards Conferences
Bio

Dr. Thulasi Bikku is a Professor in Computer Science and Engineering with over 18 years of teaching and research experience. She is currently serving at Amrita Vishwa Vidyapeetham, Amaravati. She completed her Postdoctoral research at Universidad de Santiago de Chile, where she worked in the Molecular Quantum Technology Group, contributing to machine learning applications in quantum communication and materials science.
She is recognized as a Top 2% Scientist by Stanford University (2025) and has a strong academic and research record with numerous high-impact publications, patents, and editorial contributions. She has served in key academic roles including Professor & Head of Department, and actively contributes as a reviewer, editor, and conference chair in reputed international journals and conferences.
With an h-index of 17, 100 documents, and over 800 citations, the researcher demonstrates sustained scholarly impact and active collaboration in multidisciplinary research domains

Publications

Journal Article

Year : 2024

Improved Quantum Algorithm: A Crucial Stepping Stone in Quantum-Powered Drug Discovery

Cite this Research Publication : Thulasi Bikku, Kiran Kumar Malligunta, Srinivasarao Thota, Phani Praveen Surapaneni, Improved Quantum Algorithm: A Crucial Stepping Stone in Quantum-Powered Drug Discovery, Journal of Electronic Materials, Springer Science and Business Media LLC, 2024, https://doi.org/10.1007/s11664-024-11275-7

Publisher : Springer Science and Business Media LLC

Year : 2023

Machine Learning Identification of Organic Compounds Using Visible Light

Cite this Research Publication : Thulasi Bikku, Rubén A. Fritz, Yamil J. Colón, and Felipe Herrera*"Machine Learning Identification of Organic Compounds Using Visible Light"

Publisher : ACS

Year : 2023

Fuzzy associated trust-based data security in cloud computing by mining user behaviour

Cite this Research Publication : Thulasi Bikku, "Fuzzy associated trust-based data security in cloud computing by mining user behaviour", International Journal of Advanced Intelligence ParadigmsVolume 25Issue 3-42023pp 382–397

Publisher : International Journal of Advanced Intelligence Paradigms

Year : 2020

Deep learning approaches for classifying data: A review

Cite this Research Publication : Thulasi Bikku,K P N V Satya Sree "Deep learning approaches for classifying data: A review ",Journal of Engineering Science and Technology
Vol. 15, No. 4 (2020) 2580 - 2594
© School of Engineering, Taylor’s University

Publisher : Journal of Engineering Science and Technology

Year : 2020

A novel integrated approach to predict bitcoin price using LSTM of RNN, GBDT and gated recurrent unit architecture

Cite this Research Publication : S. Kranthi Kumar, B. Thulasi, "A novel integrated approach to predict bitcoin price using LSTM of RNN, GBDT and gated recurrent unit architecture "International Journal of Advanced Science and Technology, Vol. 29 No. 3 (2020)

Year : 2019

An efficient model for medical data classification using gene features

Cite this Research Publication : Kosaraju Chaitanya , Rachakonda Venkatesh ,Thulasi Bikku "An efficient model for medical data classification using gene features" ,International Journal of Advanced Computer Science and Applications(IJACSA), Volume 10 Issue 11, 2019.

Publisher : The Sience and information Organization

Year : 2019

An efferent and secure outsourced data aggregation using location sharing services

Cite this Research Publication : Thulasi Bikku , " An efferent and secure outsourced data aggregation using location sharing services", Revue d'Intelligence Artificielle

Publisher : Research Gate

Year : 2019

A review on biomedical mining

Cite this Research Publication : Bikku Thulasi "A review on biomedical mining", Journal of RNA and Genomics

Publisher : Journal of RNA and Genomics

Year : 2019

A novel somatic cancer gene-based biomedical document feature ranking and clustering model

Cite this Research Publication : Thulasi Bikku , Radhika Paturi, " A novel somatic cancer gene-based biomedical document feature ranking and clustering model", Informatics in Medicine Unlocked Volume 16, 2019, 100188

Publisher : Elsevier

Year : 2018

Frequency domain steganography with reversible texture combination

Cite this Research Publication : Thulasi Bikku, Radhika Paturi "Frequency domain steganography with reversible texture combination"

Publisher : IIETA

Year : 2018

An indigenous tool (NoJavaCloud) to handle virtual nodes to simulate the cloud tasks

Cite this Research Publication : Thulasi Bikku, "An indigenous tool (NoJavaCloud) to handle virtual nodes to simulate the cloud tasks",Mathematical Modelling of Engineering Problems

Publisher : IIETA

Year : 2018

A novel multi-class ensemble model based on feature selection using Hadoop framework for classifying imbalanced biomedical data

Cite this Research Publication : Thulasi Bikku, N. Sambasiva Rao" A Novel Multi-class Ensemble model based on feature selection using Hadoop framework for classifying imbalanced Biomedical Data" International Journal of Business Intelligence and Data Mining 13(4):1DOI:10.1504/IJBIDM.2018.10006485

Publisher : Research Gate

Year : 2018

A new weighted based frequent and infrequent pattern mining method on real-time E-commerce

Cite this Research Publication : Thulasi Bikku, "A new weighted based frequent and infrequent pattern mining method on real-time E-commerce ", Vignan’s Nirula Institute of Technology & Science for Women, Peda Palakaluru, Guntur 522009, Andhra Pradesh, India

Publisher : Ingenierie des Systemes d'Information

Year : 2018

A contemporary feature selection and classification framework for imbalanced biomedical datasets

Cite this Research Publication : Thulasi Bikku , Sambasiva Rao Nandam , Ananda Rao Akepogu " A contemporary feature selection and classification framework for imbalanced biomedical datasets" , Egyptian Informatics Journal
Volume 19, Issue 3, November 2018, Pages 191-198

Publisher : Science Direct

Year : 2017

A novel algorithm for clustering and feature selection of high dimensional datasets

Cite this Research Publication : A. Padma Priya, Thulasi Bikku "A novel algorithm for clustering and feature selection of high dimensional datasets", Advances in Modelling and Analysis B 60(3):525-538 DOI:10.18280/ama_b.600301

Publisher : Research Gate

Year : 2016

Hadoop based feature selection and decision making models on big data

Cite this Research Publication : Thulasi Bikku, N. Sambasiva Rao and Ananda Rao Akepogu,"Hadoop based feature selection and decision making models on big data",Indian Journal of Science and Technology

Conference Proceedings

Year : 2023

Exploring the Effectiveness of BERT for Sentiment Analysis on Large-Scale Social Media Data

Cite this Research Publication : Thulasi Bikku , Jyothi Jarugula, Lavanya Kongala , Navya Deepthi Tummala, Naga Vardhani Donthiboina, "Exploring the Effectiveness of BERT for Sentiment Analysis on Large-Scale Social Media Data",Exploring the Effectiveness of BERT for Sentiment Analysis on Large-Scale Social Media Data

Publisher : IEEE

Year : 2023

Deep Residual Learning for Unmasking DeepFake

Cite this Research Publication : Thulasi Bikku; Kollipara Bhargavi; Jarugula Bhavitha; Yallasiri Lalithya; Tadepu Vineetha" Deep Residual Learning for Unmasking DeepFake", 2023 International Conference on Advances in Electronics, Communication, Computing and Intelligent Information Systems (ICAECIS)

Publisher : IEEE

Year : 2022

The Impact and Potential of Block chain Applications Based on IoT

Cite this Research Publication : Sandeep Srivastava; Anurag Aeron; Thulasi Bikku; Manisha Kaur; Varsha; Satish Rupraoji Billewar, " The Impact and Potential of Block chain Applications Based on IoT", 2021 International Conference on Simulation, Automation & Smart Manufacturing (SASM)

Publisher : IEEE

Year : 2022

Optimized Machine Learning Algorithm to classify Phishing Websites

Cite this Research Publication : Thulasi Bikku; Mude Nikitha; Anjali Vajja; Kanneganti Harshitha; Jhansi Rani, " ", 2022 International Conference on Electronics and Renewable Systems (ICEARS), 2022 International Conference on Electronics and Renewable Systems (ICEARS)

Publisher : IEEE

Year : 2022

Emotion Detection and Quotations using CNN

Cite this Research Publication : Thulasi Bikku,Lavanya Viswanadha, Maddoju Madhulatha,Penumuchu Jyothirgama,Shaik Shabana, Saka Sai Sreedev " Emotion Detection and Quotations using CNN",Proceedings of the International Conference on Applied Artificial Intelligence and Computing (ICAAIC 2022) IEEE Xplore Part Number: CFP22BC3-ART; ISBN: 978-1-6654-9710-7

Publisher : IEEE

Year : 2022

A Novel Integrated IoT Framework with Classification Approach for Medical Data Analysis

Cite this Research Publication : Thulasi Bikku; K. P. N. V. Satya Sree; Jyothi Jarugula; Mounika Sunkara "A Novel Integrated IoT Framework with Classification Approach for Medical Data Analysis ", 2022 9th International Conference on Computing for Sustainable Global Development (INDIACom)

Publisher : IEEE

Year : 2021

EMG Controlled Bionic Robotic Arm using Artificial Intelligence and Machine Learning

Cite this Research Publication : K P N V Satya Sree; Thulasi Bikku; S Mounika; N Ravinder; M Lakshmana Kumar; Chitturi Prasad,"EMG Controlled Bionic Robotic Arm using Artificial Intelligence and Machine Learning"

Publisher : IEEE

Year : 2021

Brain Tissue Segmentation via Deep Convolutional Neural Networks

Cite this Research Publication : Thulasi Bikku; Jayavarapu Karthik; Ganga Rama Koteswara Rao; K P N V Satya Sree; P V V S Srinivas; Chitturi Prasad, "Brain Tissue Segmentation via Deep Convolutional Neural Networks", 2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)

Publisher : IEEE

Year : 2019

Sensors Systems for Traffic Congestion Reduction Methodologies

Cite this Research Publication : Thulasi Bikku; V. Lakshman Narayana; Arepalli Peda Gopi; Sk. Reshmi Khadherbhi" Sensors Systems for Traffic Congestion Reduction Methodologies", 2019 Third International conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)

Publisher : IEEE

Year : 2018

An Efficient Technique Using Parallel MFP for Mining Big Data

Cite this Research Publication : Thulasi Bikku,"An Efficient Technique Using Parallel MFP for Mining Big Data",2018 IEEE 4th International Symposium in Robotics and Manufacturing Automation (ROMA)

Publisher : IEEE

Year : 2017

A Novel Multi-Class Ensemble Model for Classifying Imbalanced Biomedical Datasets

Cite this Research Publication : Thulasi Bikku1, N Sambasiva Rao Dr2 and Akepogu Ananda Rao Dr3, "A Novel Multi-Class Ensemble Model for Classifying Imbalanced Biomedical Datasets" , https://iopscience.iop.org/article/10.1088/1757-899X/225/1/012161

Publisher : IOP Science

Book

Year : 2022

IoT and wearables for detection of COVID-19 diagnosis using fusion-based feature extraction with multikernel extreme learning machine

Cite this Research Publication : Ganesh Kumar R, Srilatha Toomula , D. Paulraj , Jebin Bose S, Thulasi Bikku , D. Sivabalaselvamani , " IoT and wearables for detection of COVID-19 diagnosis using fusion-based feature extraction with multikernel extreme learning machine"

Publisher : Science Direct

Book Chapter

Year : 2022

Analysis of Disaster Tweets Using Natural Language Processing

Cite this Research Publication : Thulasi Bikku, Pathakamuri Chandrika, Anuhya Kanyadari, Vuyyuru Prathima & Borra Bhavana Sai , "Analysis of Disaster Tweets Using Natural Language Processing", Smart Innovation, Systems and Technologies book series (SIST,volume 315)

Publisher : SpringerLink

Year : 2021

A Concept of Internet of Robotic Things for Smart Automation

Cite this Research Publication : R. Krishnamoorthy, Thulasi Bikku, V. Priyalakshmi, M. Amina Begum & S. Arun , " A Concept of Internet of Robotic Things for Smart Automation', Advances in Science, Technology & Innovation book series (ASTI)

Year : 2020

A Boosted Random Forest Algorithm for Automated Bug Classification

Cite this Research Publication : Thulasi Bikku,K. P. N. V. Satyasree "A Boosted Random Forest Algorithm for Automated Bug Classification ", Lecture Notes in Networks and Systems book series (LNNS,volume 650)

Publisher : SpringerLink

Year : 2018

Swarming the high-dimensional datasets using ensemble classification algorithm

Cite this Research Publication : Thulasi Bikku, A. Peda Gopi & R. Laxmi Prasanna ,"Swarming the high-dimensional datasets using ensemble classification algorithm", Advances in Intelligent Systems and Computing book series (AISC,volume 815)

Publisher : SpringerLink

Year : 2016

An iterative hadoop-based ensemble data classification model on distributed medical databases

Cite this Research Publication : Thulasi Bikku, Sambasiva Rao Nandam & Ananda Rao Akepogu ,"An iterative hadoop-based ensemble data classification model on distributed medical databases"

Publisher : SpringerLink

Conference Paper

Year : 2021

Comparing 3D Rendering Engines in Blender

Cite this Research Publication : G. R. Koteswara Rao, P. Vidya Sgar, T. Bikku, C. Prasad and N. Cherukuri, "Comparing 3D Rendering Engines in Blender," 2021 2nd International Conference on Smart Electronics and Communication (ICOSEC), Trichy, India, 2021, pp. 489-495, doi: 10.1109/ICOSEC51865.2021.9591800.

Publisher : IEEE

Patents

Year : 2020

In indian woman intelligent safety device using machine learning

Cite this Research Publication : Thulasi Bikku, Inventor and patent holder of "In indian woman intelligent safety device using machine learning " published in February 2020 with application number: 202041005798 A.

Year : 2019

Vigya: a novel integral system for precision agriculture

Cite this Research Publication : Thulasi Bikku, Inventor and patent holder of "Vigya: a novel integral system for precision agriculture" published in september 2019 with application number: 201941033006 A.

Peer Reviewed
  • Gopisairam, T., Thota, S. & Bikku, T. Integrative framework for cancer detection via integro-differential equations using deep learning techniques. Sci Rep 16, 9714 (2026). https://doi.org/10.1038/s41598-026-39283-z
  • N, Badrinath & Pujari, Jeevana Jyothi & Bikku, Thulasi & Joseph, Selva & Thota, Srinivasarao. (2026). From Motion to Prevention: A TimeGAN-Enhanced Hybrid BiLSTM-CNN-Attention Model for Predicting Falls and Preventive Interventions. Applied Computational Intelligence and Soft Computing. 6925968. 17. 10.1155/acis/6925968.
  • Venkatasivarambabu, P., Puppala, R.S., Bikku, T. et al. Multi-UAV Path Planning in Dynamic Environments using a Hybrid PSO-Whale Optimization Approach. Int J Comput Intell Syst 19, 231 (2026). https://doi.org/10.1007/s44196-026-01329-5
  • Kanadam, K. P., Pujari, J. J., Srinvas, V. S., Bikku, T., Joseph, S., & Thota, S. (2025). A neighbor pixel modelled ROI for mammogram classification. Array, 28, 100612. https://doi.org/10.1016/j.array.2025.100612
  • Srinivasarao Thota, Thulasi Bikku, P. Shanmugasundaram, Quantum-enhanced graph-based ecological modeling for food web stability analysis, Mathematics Open, World Scientific Pub Co Pte Ltd, 2026, https://doi.org/10.1142/S2811007226500161
  • Bikku, T., Sree, K.P.N.V.S., Thota, S. et al. MSRP-TODNet: a multi-scale reinforced region wise analyser for tiny object detection. BMC Res Notes 18, 200 (2025). https://doi.org/10.1186/s13104-025-07263-7
  • Pujari, J.J., Bikku, T., Singamaneni, K.K. et al. A hybrid framework for pill identification using convolutional neural networks and optical character recognition. Discov Artif Intell 6, 649 (2026). https://doi.org/10.1007/s44163-026-01405-x
FDP / Workshops

Dr. Thulasi Bikku has also actively participated in and completed numerous Faculty Development Programmes (FDPs), STTPs, and Workshops in areas such as:

  • Artificial Intelligence, Deep Learning, NLP, Cybersecurity
  • IoT, Cloud Computing, Data Science, Big Data
  • Quantum Computing, Blockchain, R Programming

She has completed multiple AICTE–ATAL, NPTEL, ISTE, and NITTTR FDPs, along with workshops on Machine Learning, Big Data, System Security, and Research Methodologies, with a few of them listed below:

  • Successfully completed the AICTE Training and Learning (ATAL) Academy Online Elementary FDP on “AI-Natural Language Processing” from November 29, 2021, to December 3, 2021, at University College of Engineering Kakinada (A).
  • Participated and successfully completed the AICTE Training and Learning (ATAL) Academy Online FDP on “Artificial Intelligence” from May 25, 2020, to May 29, 2020, at Dr Harisingh Gour University Sagar (MP).
  • Successfully completed the AICTE Training and Learning (ATAL) Academy Online Elementary FDP on “AI-Natural Language Processing” from November 29, 2021, to December 3, 2021, at University College of Engineering Kakinada (A).
  • Participated in a one-week online Faculty Development Programme (FDP) on “Universal Human Value-Induction” held from September 21-25, 2020.
  • Engaged in a one-week online Faculty Development Programme (FDP) on “UHV Refresher 1” conducted from February 07-11, 2022. Participated in a one-week online Faculty Development Programme (FDP) on “Online UHV-II FDP” held from May 15-20, 2023.
Research Talks
  • Hyperparameter Tuning in Machine Learning (2025)
  • Women in AI: Shaping Future Technology (2025)
  • Machine Learning for Cyber-Physical Systems (2025)
  • Career Guidance in Machine Learning (2024)
  • Delivered a lecture on “Machine Learning and Deep Learning” as part of the AICTE ISTE approved Orientation/Refresher Programme on “Advanced Emerging Trends in CSE & IT” held from January 18, 2021, to January 23, 2021, organized by Usha Rama College of Engineering and Technology.
  • Presented a lecture on “Applications of Machine Learning” during the Faculty Development Programme on “Recent Advancements in Artificial Intelligence” held from June 23, 2020, to June 27, 2020, organized by Shri Vishnu Engineering College for Women, Bhimavaram .
  • Conducted a lecture on “Deep Learning, Python Case Studies & Booting Methods” as part of the AICTE-ISTE approved Orientation/Refresher Programme on “Advanced Emerging Trends in CSE & IT” held from March 23, 2021, to March 30, 2021, organized by Usha Rama College of Engineering and Technology.

Invited Talks:

  • Resource Person – ATAL FDP on Cybersecurity in Disaster Management Systems (2025)
  • Delivered multiple invited expert sessions across engineering institutions on AI, ML, and research methodologies.
  • Delivered a lecture on “Machine Learning Applications ” organized by Usha Rama College of Engineering and Technology.
Awards

Awards:

  • Top 2% Scientist Recognition by Stanford University (2025)
  • Uttama Adhyapika (Best Educator Award) – 2024 & 2025
  • Governor’s Award – National Award for Excellence in R&D
  • Ambitions Award for Education Excellence (2022)
  • Best Paper Award – GCMT Conference

Membership:

• Life Member – Computer Society of India (CSI)
• Life Member – International Association of Engineers (IAENG)
• Life Member – Universal Association of Computer and Electronics Engineers (UACEE)

 

Conferences

Dr. Thulasi Bikku has actively participated and presented research in numerous international and national conferences, including:

  • International Conference on Disruptive Technologies (ICDT-2024)
  • International Conference on Computer & Communication Technologies (IC3T-2023)
  • CONIT-2023, ICAECIS-2023
  • INDIACom-2022, ICEARS-2022
  • I-SMAC, ICOSEC, IEEE conferences
  • Presented the paper “Exploring the Effectiveness of BERT for Sentiment Analysis on Large Scale Social Media Data” at the 3rd International Conference on Intelligent Technologies (CONIT 2023) held from June 23 to 25, 2023.
  • Presented the paper “Deep Residual Learning for Unmasking DeepFake ” at the International Conference on Advances in Electronics, Communication, Computing and Intelligent Information Systems (ICAECIS) conducted by BIT in Bangalore , India from April 19 to 21, 2023.
  • Presented the paper “Emotion Detection and Quotations using CNN” at the International Conference on Applied Artificial Intelligence and Computing (ICAAIC) held in Salem, India from May 9 to 11, 2022.
  • Presented the paper “A Novel Integrated IoT Framework with Classification Approach for Medical Data Analysis” at the 2022 9th International Conference on Computing for Sustainable Global Development ( INDIACom ) held in New Delhi, India from March 23 to 25, 2022.
  • Presented the paper “Optimized Machine Learning Algorithm to classify Phishing Websites” at the 2022 International Conference on Electronics and Renewable Systems (ICEARS) held in Tuticorin, India from March 16 to 18, 2022.
  • Presented the paper “Brain Tissue Segmentation via Deep Neural Networks” at the 5th International conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC 2021) conducted by SCAD Institute of Technology in Palladam , India from November 11 to 13, 2021.
  • Presented the paper “EMG Controlled Bionic Robotic Arm using Artificial Intelligence and Machine Learning” at the 5th International conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC 2021) conducted by SCAD Institute of Technology in Palladam , India from November 11 to 13, 2021.
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