Dr. Dharmapuri Siri | Software Engineering | Best Researcher Award

Dr. D. Siri holds a Ph.D. in Computer Science and Engineering from JJT University, completed in 2022, where she specialized in software quality enhancement through machine learning. Her doctoral research focused on developing a predictive model for bug detection using advanced ML techniques. Prior to this, she earned her Master of Technology (M.Tech) in Computer Science and Engineering from JNTU Hyderabad, graduating with a strong academic foundation in programming, algorithms, and systems design. She also holds a Bachelor’s degree in Information Technology from Sreenivas Reddy Institute of Technology under JNTU Hyderabad, where she built her core technical skills. Her early education includes intermediate studies in Mathematics, Physics, and Chemistry with a 67.5% score and a 10th-grade certification from the Board of Secondary Education, Andhra Pradesh. Her steady academic progression reflects a strong commitment to developing both theoretical and applied competencies essential for success in the field of computing and data technologies.

Dr. D. Siri brings a rich teaching background with over 14 years of experience in academia. She began her career in 2008 as an Assistant Professor at TRR Engineering College, Patancheru, and continued in the same role at TRR College of Engineering until 2017. Her professional journey then led her to Malla Reddy Engineering College for Women, where she further honed her teaching and mentoring capabilities in computer science. Currently, she serves as an Associate Professor in the Department of Computer Science and Engineering at Gokaraju Rangaraju Institute of Engineering and Technology, Hyderabad. Throughout her career, she has taught a wide range of subjects including Software Engineering, Software Testing Methodologies, Machine Learning, and Data Structures. Her professional engagements are marked by a balance of teaching, research, and institutional development, with active involvement in organizing seminars, guiding student projects, and enhancing technical knowledge delivery through innovative and modern pedagogical techniques.

Dr. D. Siri’s research interests lie at the intersection of machine learning, deep learning, software engineering, medical image processing, smart agriculture, IoT, and blockchain systems. Her doctoral work centered around predictive models for software bug detection, a crucial area in software quality assurance. She has expanded her research scope into cutting-edge domains such as sentiment analysis, diabetic retinopathy classification, underwater fish species recognition, and accelerometer-based activity recognition. Her conference papers showcase broad engagement across themes like AI-driven fraud detection, supply chain optimization using blockchain, and environmental sustainability through data-driven methods. Dr. Siri is particularly passionate about applying machine learning models to real-world problems, including energy harvesting, biofuel production analysis, and healthcare diagnostics. Her interest in smart homes, watermarking in relational databases, and secure communication protocols demonstrates her comprehensive approach to data science and security. Her future research aims to further integrate AI and sustainable technologies for intelligent, real-time, and human-centric solutions.

Dr. D. Siri’s academic recognition stems from her impactful research contributions and innovative projects across diverse domains of computer science. While specific institutional awards are not listed, her numerous conference participations at esteemed platforms such as IEEE, AIP, and E3S Web of Conferences reflect her recognition as a capable and contributing researcher. Notably, she has published a patent titled “A Vehicle with Smart Biometric Device” in the Indian Patent Office Journal in 2018, which marks a significant milestone in her career and showcases her applied research capabilities. Her consistent participation in high-impact international conferences, including those focused on IoT, AI, sustainable development, and intelligent systems, highlights her evolving professional stature. She has also been part of multiple multi-author collaborations, emphasizing her ability to engage in large-scale academic networks. These achievements underscore her growing influence and suitability for national or international honors such as the Best Researcher Award.

Dr. D. Siri possesses a strong suite of research skills that span both theoretical and practical domains. She is proficient in machine learning and deep learning algorithms, with hands-on experience in model building, classification, clustering, and data analysis across multiple platforms. Her expertise extends to software engineering principles, bug prediction models, and data mining techniques, especially in image processing and real-time sensor data applications. Dr. Siri is skilled in research design, implementation, and performance analysis, using tools like Python, MATLAB, and open-source AI frameworks. Her ability to integrate cross-disciplinary knowledge into practical systems—e.g., smart agriculture, biometric systems, blockchain-enabled secure communications, and medical diagnostics—speaks to her versatility. She has demonstrated competence in publishing high-quality technical articles, collaborating in multi-author projects, and contributing to peer-reviewed journals. With a solid foundation in algorithms, data structures, and AI ethics, she is adept at conducting innovative, scalable, and socially impactful research.

Dr. D. Siri demonstrates a strong commitment to academic and applied research, with a focus on cutting-edge technologies such as machine learning, deep learning, blockchain, and image processing. Her recent publication momentum, wide interdisciplinary contributions, and teaching legacy make her a suitable and deserving candidate for the Best Researcher Award.

With improvements in high-impact journal publications, international presence, and research funding, she has the potential to further solidify her stature as a leading researcher in her field.

• Title: Analyzing Public Sentiment on the Amazon Website: A GSK-Based Double Path Transformer Network Approach for Sentiment Analysis
  Authors: LK Kumar, VN Thatha, P Udayaraju, D Siri, GU Kiran, BN Jagadesh, …
  Year: 2024
  Citations: 17

• Title: Segmentation Using the IC2T Model and Classification of Diabetic Retinopathy Using the Rock Hyrax Swarm-Based Coordination Attention Mechanism
  Authors: BN Jagadesh, MG Karthik, D Siri, SKK Shareef, SV Mantena, R Vatambeti
  Year: 2023
  Citations: 14

• Title: Breast Cancer Diagnosis from Histopathology Images Using Deep Learning Methods: A Survey
  Authors: V Patel, V Chaurasia, R Mahadeva, A Ghosh, S Dixit, B Suthar, V Gupta, D Siri, …
  Year: 2023
  Citations: 6

• Title: Detecting Cardiomegaly from CXR Images Using a 2D and 1D Convolutional Neural Network-Based Classifier
  Authors: LR Kumar, K Sravanthi, ES Kiran, D Vinith, D Siri, SK Joshi
  Year: 2023
  Citations: 5

• Title: Enhanced Deep Learning Models for Automatic Fish Species Identification in Underwater Imagery
  Authors: D Siri, G Vellaturi, SHS Ibrahim, S Molugu, VS Desanamukula, …
  Year: 2024
  Citations: 3

• Title: Machine Learning Algorithm Application in Software Quality Improvement Using Metrics
  Authors: D Siri
  Year: 2019
  Citations: 3

• Title: Automated System for Bird Species Identification Using CNN
  Authors: D Siri, S Desu, K Alladi, D Swathi, S Singh, V Srilakshmi
  Year: 2023
  Citations: 2

• Title: Cloud Verse: Mapping the New Frontiers of Cloud Computing
  Authors: H Bommala, DH Tej, K Ramesh, M Sahil, D Siri, KI Usanova
  Year: 2024
  Citations: 1

• Title: Study of a Fuzzy Logic-Based Approach to Supplier Selection
  Authors: S Singarapu, D Siri, DV Nemova
  Year: 2024
  Citations: 1

• Title: Segment-Based Unsupervised Deep Learning for Human Activity Recognition Using Accelerometer Data and SBOA-Based Channel Attention Networks
  Authors: M Janardhan, A Neelima, D Siri, RS Kumar, N Balakrishna, N Sreenivasa, …
  Year: Not listed
  Citations: 1

• Title: Bio-Inspired Feature Selection and Graph Learning for Sepsis Risk Stratification
  Authors: D Siri, R Kocherla, S Tumkunta, P Udayaraju, KC Gogineni, G Mamidisetti, …
  Year: 2025

• Title: Enhancing Sparse Data Recommendations with Self-Inspected Adaptive SMOTE and Hybrid Neural Networks
  Authors: R Vatambeti, HP Gandikota, D Siri, G Satyanarayana, N Balayesu, …
  Year: 2025

• Title: Piezoelectric Actuator Characterization Through Piezoresponse Force Microscopy (PFM) Analysis
  Authors: B Singh, RD Nautiyal, K Kumar, AK Pandey, D Siri
  Year: 2025

• Title: Process Planning and Scheduling Optimization for Low Fossil-Carbon Manufacturing
  Authors: V Sharma, M Nautiyal, P Bhandari, L Govardhan, D Siri
  Year: 2025

• Title: Analyzing Size’s Impact on Tensile Strength of Polymer Nanocomposites: Mechanical Testing and Material Characterization
  Authors: G Nijhawan, SS Sehgal, S Sharma, D Siri
  Year: 2025

• Title: A Strong and Adaptable Watermarking Methodology for Relational Databases
  Authors: D Siri, S Sangeetha, P Kalaiselvi, D VC, HMM AlJawahry, R Behl
  Year: 2025

• Title: Deep Learning Based Smart Home
  Authors: D Siri, KV Laxmi, NK Nivetha, R AlFatlawy, B Rampriya
  Year: 2025
  
  Title: Enhancing Strategic Marketing with AI-Driven Insights into Dynamic Preferences and Decision Patterns
  Authors: VH Raj, TMK Al-Rubaye, D Siri, N Sirisha, A Dutt
  Year: 2025

• Title: Optimizing Crop Manufacturing: Combining IoT, Smart Technology, and Information Mining for Sustainable
  Authors: P Karuppasamy, D Siri, AS Shaik, TS Madhuri, MH Fallah
  Year: 2025

• Title: Implementation and Impact Assessment of Organic Crop Rotation Techniques for Soil Health Improvement in Temperate Agroecosystems
  Authors: AH Shnain, Z Abed, D Siri
  Year: 2025