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Dr. Amulyashree S

Assistant Professor, School of Computing, Bengaluru

Qualification: Ph.D
S_amulyashree@blr.amrita.edu
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Scopus Author ID
Research Interest: Data modelling, Machine Learning, Optimization, Bioinformatics

Bio Publications FDP / Workshops Research Talks Delivered Membership Awards
Bio

Dr. Amulyashree S is currently working as Assistant Professor in Dept. of CSE, Amrita Vishwa Vidyapeetham. Has completed PhD in the year 2022 from RV College of Engineering, in knowledge mining. Have authored research articles in renowned journals in area of knowledge mining. Have qualified UGC-NET and GATE examinations.

Publications

Conference Paper

Year : 2025

SleepPred: A Machine Learning Tool to Predict Quality of Sleep

Cite this Research Publication : Amulyashree Sridhar, SleepPred: A Machine Learning Tool to Predict Quality of Sleep, Lect. Notes in Networks, Syst., Vol. 1288 , 2025

Year : 2025

A Novel Machine Learning Ensemble Algorithm to Predict Occurrence of Cancer

Cite this Research Publication : Kalyan Nagaraj, H. S. Prashanth, Amulyashree Sridhar, A Novel Machine Learning Ensemble Algorithm to Predict Occurrence of Cancer, Lecture Notes in Networks and Systems, Springer Nature Singapore, 2025, https://doi.org/10.1007/978-981-96-2694-6_8

Publisher : Springer Nature Singapore

Journal Article

Year : 2025

Synthesis, Characterization, Electrochemical Sensing, DFT Analysis, Molecular Docking and Anticancer Activity of a Novel Thiadiazole-Based Azo Dye Incorporating a Barbituric Acid Scaffold

Cite this Research Publication : Harisha S, Kalyan Nagaraj, Mohan Reddy R, Amulyashree Sridhar, S.R. Kiran Kumar, Y Surendranaik, Synthesis, Characterization, Electrochemical Sensing, DFT Analysis, Molecular Docking and Anticancer Activity of a Novel Thiadiazole-Based Azo Dye Incorporating a Barbituric Acid Scaffold, Journal of Molecular Structure, Elsevier BV, 2025, https://doi.org/10.1016/j.molstruc.2025.142576

Publisher : Elsevier BV

Year : 2019

Encrypting and Preserving Sensitive Attributes in Customer Churn Data Using Novel Dragonfly Based Pseudonymizer Approach

Cite this Research Publication : Kalyan Nagaraj, Sharvani GS, Amulyashree Sridhar, Encrypting and Preserving Sensitive Attributes in Customer Churn Data Using Novel Dragonfly Based Pseudonymizer Approach, Information, MDPI AG, 2019, https://doi.org/10.3390/info10090274

Publisher : MDPI AG

Year : 2018

Detection of phishing websites using a novel twofold ensemble model

Cite this Research Publication : Kalyan Nagaraj, Biplab Bhattacharjee, Amulyashree Sridhar, Sharvani GS, Detection of phishing websites using a novel twofold ensemble model, Journal of Systems and Information Technology, Emerald, 2018, https://doi.org/10.1108/jsit-09-2017-0074

Publisher : Emerald

FDP / Workshops

Attended and qualified the following NPTEL AICTE recognized FDP courses:

  • Applied Accelerated Artificial Intelligence [July 2022]
  • Social Networks [Dec 2022]
Research Talks Delivered

Delivered a talk on “Opportunities for Research in Data Science” at BMS Institute of Technology for BE 7th semester- ISE students on June 20th, 2020.

Membership

IEEE

Awards

UGC-NET, GATE

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