Madhuri Rao | Machine Learning | Best Researcher Award

Dr. Madhuri Rao | Machine Learning | Best Researcher Award

Senior Assistant Professor | MIT World Peace University | India

Dr. Madhuri Rao is a dedicated researcher and academic in computer science with expertise in wireless sensor networks, Internet of Things, artificial intelligence, blockchain, and cybersecurity, with her current work focusing on deep learning, cloud security, and healthcare applications. She earned her Ph.D. in Computer Science and Engineering from Biju Patnaik University of Technology, where her research emphasized energy-efficient object tracking in wireless sensor networks. Over her career, she has gained extensive professional experience as a faculty member, academic coordinator, research supervisor, and editorial board member, contributing significantly to both teaching and research. She has authored and co-authored numerous publications in reputed journals and conferences, including IEEE, Springer, Elsevier, and Scopus-indexed platforms, along with patents and book chapters that highlight her innovative approach. Her research interests span interdisciplinary applications of advanced technologies to address challenges in security, healthcare, and sustainability, with ongoing involvement in collaborative projects and international initiatives. She has received recognition through awards such as best paper honors and a best research scholar award, underscoring her contributions to the academic community. Her research skills include problem-solving, experimental design, data analysis, and guiding students at undergraduate, postgraduate, and doctoral levels, coupled with active roles as session chair, track chair, and guest lecturer in international conferences. She is also a life member of professional societies and holds certifications that strengthen her academic profile. Her impactful contributions are reflected in 116 citations and an h-index of 7.

Profile: Google Scholar | ORCID | ResearchGate | LinkedIn

Featured Publications

  1. Rao, M., & Kamila, N. K. (2021). Cat swarm optimization based autonomous recovery from network partitioning in heterogeneous underwater wireless sensor network. International Journal of System Assurance Engineering and Management, 1–15.

  2. Rao, M., Kamila, N. K., & Kumar, K. V. (2016). Underwater wireless sensor network for tracking ships approaching harbor. 2016 International Conference on Signal Processing, Communication, Power and Embedded System (SCOPES), 1098–1102. IEEE.
  3. Rao, M., & Kamila, N. K. (2018). Spider monkey optimisation based energy efficient clustering in heterogeneous underwater wireless sensor networks. International Journal of Ad Hoc and Ubiquitous Computing, 29(1–2), 50–63.

  4. Chaudhury, P., Rao, M., & Kumar, K. V. (2009). Symbol based concatenation approach for text to speech system for Hindi using vowel classification technique. 2009 World Congress on Nature & Biologically Inspired Computing (NaBIC), 1393–1396. IEEE.

  5. Kumar, K. V., Kumari, P., Rao, M., & Mohapatra, D. P. (2022). Metaheuristic feature selection for software fault prediction. Journal of Information and Optimization Sciences, 43(5), 1013–1020.

Sheilla Ann Pacheco | Machine Learning | Best Researcher Award

Assist. Prof. Dr. Sheilla Ann Pacheco | Machine Learning | Best Researcher Award

Faculty at North Eastern Mindanao State University | Philippines

Dr. Sheilla Ann Pacheco is an accomplished academic and researcher with extensive experience in computer science, particularly in the fields of machine learning, image processing, and adversarial defense. With over nine years of academic service, she has established herself as a dedicated educator, mentor, and innovator who contributes significantly to both research and teaching. Her work spans practical and theoretical domains, addressing challenges in privacy-preserving AI, biometrics, and medical applications such as breast cancer prediction. Dr. Pacheco is actively involved in presenting her research at national and international conferences, where she has received recognition for her contributions. She is also engaged with professional organizations such as IEEE and ACM, which allows her to remain connected with global advancements in her field. Combining strong technical expertise, leadership in research, and dedication to academic growth, she continues to advance computer science while inspiring students and peers alike.

Professional Profiles 

Google Scholar | Scopus Profile | ORCID Profile 

Education

Dr. Sheilla Ann Pacheco has pursued her academic journey with determination and excellence in the field of computer science. She earned her Bachelor of Science in Computer Science from Surigao del Sur State University, laying the foundation for her career in research and academia. She further advanced her studies by completing her Master of Science in Computer Science at the same institution, where she deepened her knowledge of programming, data processing, and research methodologies. To further enhance her expertise, she is currently completing her Doctor of Philosophy in Computer Science at the Technological Institute of the Philippines, focusing on advanced topics such as machine learning, adversarial defense, and computational intelligence. Her academic path highlights her continuous commitment to lifelong learning and growth in her field. Through her education, she has developed the strong theoretical and practical background that now underpins her teaching, supervision, and impactful research contributions.

Professional Experience

Dr. Sheilla Ann Pacheco has built a solid professional career as an academic and researcher in the field of information technology. She currently serves as an Assistant Professor at North Eastern Mindanao State University, where she teaches a variety of courses, supervises research, and contributes to the development of the academic community. Over the years, she has guided students in their research projects, emphasizing innovation and practical applications of computer science in areas such as artificial intelligence and data processing. Her experience is not only limited to classroom teaching but also extends to participation in academic conferences, workshops, and seminars where she presents her work and collaborates with other professionals. Her professional journey demonstrates a balance of academic leadership, technical expertise, and a commitment to advancing knowledge. Through her role, she continues to inspire students and colleagues while contributing to the university’s mission of research and innovation.

Research Interest

Dr. Sheilla Ann Pacheco’s research interests lie in the fields of machine learning, image processing, adversarial defense, and privacy-preserving artificial intelligence. She has a particular focus on developing intelligent solutions that enhance the security and accuracy of biometric recognition systems, as reflected in her work on SARGAN-based face recognition and hidden adversarial attacks on facial biometrics. In addition, she explores federated learning models that aim to protect user privacy while enabling effective AI applications. Her research also extends to healthcare, where she has contributed to studies such as breast cancer prediction using ensemble techniques. These areas highlight her commitment to addressing real-world challenges through innovative technologies. By integrating theoretical models with applied solutions, her research contributes both to the scientific community and to society at large. Her future directions aim to expand collaborations in international research networks and further explore secure, ethical, and intelligent AI applications.

Research Skill

Dr. Sheilla Ann Pacheco possesses a wide range of research skills that enable her to excel in both academic and applied studies. Her expertise includes image processing, machine learning, and adversarial defense, which she has applied in developing innovative solutions for biometric recognition and healthcare prediction models. She is proficient in programming, data analysis, and the use of advanced computational tools, allowing her to conduct rigorous and high-quality research. Her skills in academic writing and presentation have enabled her to publish and present her work at reputable conferences and to effectively communicate her findings to diverse audiences. She is also skilled in research supervision, guiding students through the research process and fostering a culture of inquiry and innovation. Combined with strong organizational and leadership skills, she demonstrates the ability to collaborate with peers, contribute to multidisciplinary projects, and advance knowledge in her field through impactful and practical research outcomes.

Publications Top Notes

Title: Enhanced content-based image retrieval using multivisual features fusion
Authors: SAB Pacheco, M Goyani, ZG Rehman, SF Rehman, T Champaneria, …
Year: 2025
Citation: 1

Title: Robust Face Recognition Under Adversarial Attack Using SARGAN Model and Improved Cross Triple MobileNetV1
Authors: SAB Pacheco, JE Estrada, MM Goyani
Year: 2025

Title: Least Variance based Modeling of Heart Disease Prediction System using Ensemble Technique
Authors: SA Pacheco, JP Bangoy, ZG Rehman, SF Rehman, SV Goyani, …
Year: 2025

Title: Hidden adversarial attack on facial biometrics – a comprehensive survey
Authors: MMG Sheilla Ann Bangoy Pacheco, Jheanel Espiritu Estrada
Year: 2025

Title: A Comprehensive Survey on Federated Learning and Its Applications in Health Care
Authors: SAB Pacheco
Year: 2024

Title: Performance of Students in Computer Programming: An Analysis
Authors: IB Christian, SA Pacheco
Year: 2023

Title: Breast Cancer Prediction using Ensemble Technique
Authors: SAB Pacheco
Year: 2022

Title: Trends and Analysis of Graduate Programs
Authors: SAB Pacheco
Year: 2022

Conclusion

Dr. Sheilla Ann Pacheco is a deserving candidate for the Best Researcher Award due to her impactful contributions in machine learning, image processing, and adversarial defense, which address critical challenges in biometrics, privacy-preserving AI, and healthcare applications. Her research outputs, academic leadership, and active involvement in professional organizations highlight her commitment to advancing both scientific knowledge and the research community. With her strong academic foundation, proven dedication, and potential for expanding her influence through future international collaborations and innovative projects, she is well-positioned to make even greater contributions to research and society in the years ahead.

Mr. Benchao Li | Manifold Learning | Best Researcher Award

Mr. Benchao Li | Manifold Learning | Best Researcher Award

Chongqing Normal University, China

👨‍🎓 Profiles

Scopus

Orcid

Publications

2DUMAP: Two-Dimensional Uniform Manifold Approximation and Projection for Fault Diagnosis

  • Author: Benchao Li, Yuanyuan Zheng, Ruisheng Ran
    Journal: IEEE Access
    Year: 2025

Discriminant Locality Preserving Projection on Grassmann Manifold for Image-Set Classification

  • Author: Benchao Li, Ting Wang, Ruisheng Ran
    Journal: The Journal of Supercomputing
    Year: 2025

Ms. Houda EL Khachine | Machine Learning | Women Researcher Award

Ms. Houda EL Khachine | Machine Learning | Women Researcher Award

Abdelmalek Essaadi University, Morocco

👨‍🎓 Profiles

Scopus

Orcid

Publications

Analysis of Wind Speed Extrapolation and Wind Power Density Assessment in Tetuan City

  • Author: Houda El Khachine, Ouahabi Mohamed Hatim, Driss Taoukil
    Journal: Preprint
    Year: 2024

Improvement of Earth-to-Air Heat Exchanger Performance by Adding Cost-Efficient Soil

  • Author: Houda El Khachine, Mohamed Hatim Ouahabi, Driss Taoukil
    Journal: Energy Exploration & Exploitation
    Year: 2024

Aerodynamic Analysis of Wind Turbine Blade of NACA 0006 Using a CFD Approach

  • Author: Ouahabi M.H., El Khachine H., Benabdelouahab F.
    Journal: Lecture Notes in Electrical Engineering
    Year: 2022

Comparative Study of Five Different Methods of Adjustment by the Weibull Model to Determine the Most Accurate Method of Analyzing Annual Variations of Wind Energy in Tetouan – Morocco

  • Authors: Chika Maduabuchi, Chinedu Nsude, Chibuoke Eneh, Emmanuel Eke, Kingsley Okoli, Emmanuel Okpara, Christian Idogho, Bryan Waya, Catur Harsito
  • Journal: Energies
  • Year: 2023

Assoc Prof Dr. Mohsen Edalat | Machine Learning | Editorial Board Member

Publications

Species distribution modeling of Malva neglecta Wallr. weed using ten different machine learning algorithms: An approach to site-specific weed management (SSWM)

  • Authors: Emran Dastres, Hassan Esmaeili, Mohsen Edalat
  • Journal: European Journal of Agronomy
  • Year: 2025

Habitat Suitability Modeling of Dominant Weed in Rapeseed (Brassica napus) Fields Using Machine Learning Techniques

  • Authors: Emran Dastres, Ghazal Shafiee Sarvestani, Mohsen Edalat, Hamid Reza Pourghasemi
  • Journal: Weed Science
  • Year: 2025

Effects of burial in soil on seed longevity and germinability of the winter annual weed wild barley (Hordeum spontaneum)

  • Authors: Elham Nozarpour, Mohsen Edalat, Elias Soltani, Jerry Mack Baskin, Seyed Abdolreza Kazemeini
    Journal: Weed Biology and Management
    Y ear: 2024

Mr. Christian Idogho | Machine Learning | Best Researcher Award

Publications

Logical reasoning for human activity recognition based on multisource data from wearable device

  • Authors: Christian Idogho, Emmanuel Owoicho Abah, Joy Ojodunwene Onuhc, Catur Harsito, Kenneth Omenkaf, Akeghiosi Samuel, Abel Ejila, Idoko Peter Idoko, Ummi Ene Ali
  • Journal: Energy Science & Engineering
  • Year: 2025

Challenges and Opportunities in Nigeria’s Renewable Energy Policy and Legislation

  • Authors: Peter Onuh, James O Ejiga, Emmanuel O Abah, Joy Ojodunwene Onuh, Christian Idogho, Joseph Omale
  • Journal: World Journal of Advanced Research and Reviews
  • Year: 2024

Mathematical modeling and simulations using software like MATLAB, COMSOL and Python

  • Authors: Idoko Peter Idoko, Gerald Chekwube Ezeamii, Christian Idogho, Enemali Peter, US Obot, VA Iguoba
  • Journal: Magna Scientia Advanced Research and Reviews
  • Year: 2024

Renewable energy potential estimation using climatic-weather-forecasting machine learning algorithms

  • Authors: Chika Maduabuchi, Chinedu Nsude, Chibuoke Eneh, Emmanuel Eke, Kingsley Okoli, Emmanuel Okpara, Christian Idogho, Bryan Waya, Catur Harsito
  • Journal: Energies
  • Year: 2023

Dr. Divya Nimma | Machine Learning | Best Researcher Award

Dr. Divya Nimma | Machine Learning | Best Researcher Award

Doctorate at The University of Southern Mississippi, United States

👨‍🎓 Profiles

Scopus

Orcid

Publications

Logical reasoning for human activity recognition based on multisource data from wearable device

  • Authors: Alsaadi, M., Keshta, I., Ramesh, J.V.N., Kiyosov, S., Soni, M.
  • Journal: Scientific Reports
  • Year: 2025

Privacy-preserving explainable AI enable federated learning-based denoising fingerprint recognition model

  • Authors: Byeon, H., Seno, M.E., Nimma, D., Soni, M., Shabaz, M.
  • Journal: Image and Vision Computing
  • Year: 2025

Implications of climate change on freshwater ecosystems and their biodiversity

  • Authors: Nimma, D., Devi, O.R., Laishram, B., Tirth, V., Arabil, A.
  • Journal: Desalination and Water Treatment
  • Year: 2025

IoT-Based Intelligent Energy Management for EV Charging Stations

  • Authors: Dasi, S., Bondalapati, S.R., Subbaraju, M.P., Reddy, R.V.K., Zareena, N.
  • Journal: IAENG International Journal of Computer Science
  • Year: 2024

Correction to: IntelPVT: intelligent patch-based pyramid vision transformers for object detection and classification

  • Authors: Nimma, D., Zhou, Z.
  • Journal: International Journal of Machine Learning and Cybernetics
  • Year: 2024

Dr. Oluwasegun Julius Aroba | Machine Learning | Best Researcher Award

Dr. Oluwasegun Julius Aroba | Machine Learning | Best Researcher Award

Doctorate at Durban University of Technology, South Africa

👨‍🎓 Profiles

Scopus

Orcid

Google Scholar

Publications

RSA and Elliptic Curve Encryption System: A Systematic Literature Review

  • Authors: Musa Ugbedeojo, Marion O Adebiyi, Oluwasegun Julius Aroba, Ayodele Ariyo Adebiyi
  • Journal: International Journal of Information Security and Privacy (IJISP)
  • Year: 2024

Professional Leadership Investigation in Big Data and Computer Mediated Communication in Relation to the 11th Sustainable Development Goals (SDG) Global Blueprint

  • Authors: Oluwasegun Julius Aroba
  • Journal: International Journal of Computing Sciences Research
  • Year: 2024

Node localization in wireless sensor networks using a hyper-heuristic DEEC-Gaussian gradient distance algorithm

  • Authors: Oluwasegun Julius Aroba, Nalindren Naicker, Timothy T Adeliyi
  • Journal: Scientific African
  • Year: 2023

An ERP SAP implementation case study of the South African Small Medium Enterprise sectors

  • Authors: Oluwasegun Julius Aroba
  • Journal: International Journal of Computing Sciences Research
  • Year: 2023

An implementation of SAP enterprise resource planning–A case study of the South African revenue services and taxation sectors

  • Authors: Oluwasegun Julius Aroba, Abdultaofeek Abayomi
  • Journal: Cogent Social Sciences
  • Year: 2023

Dr. Alejandro Medina Santiago | Machine Learning | Best Researcher Award

Dr. Alejandro Medina Santiago | Machine Learning | Best Researcher Award

Doctorate at Institute National of Astrophysics, Optics and Electronics, Mexico

👨‍🎓 Profiles

Scopus

Orcid

Publications

TurboPixels: A Superpixel Segmentation Algorithm Suitable for Real-Time Embedded Applications

  • Authors: Aguilar-González, A., Medina Santiago, A., Orozco Torres, J.A., Pérez Patricio, M., Morales-Navarro, N.A.
  • Journal: Applied Sciences (Switzerland)
  • Year: 2024

Object/Scene Recognition Based on a Directional Pixel Voting Descriptor

  • Authors: Aguilar-González, A., Medina Santiago, A., Osuna-Coutiño, J.A.D.J.
  • Journal: Applied Sciences (Switzerland)
  • Year: 2024

Multilayer Fuzzy Inference System for Predicting the Risk of Dropping out of School at the High School Level

  • Authors: Antonio Orozco Torres, J., Santiago, A.M., Manuel Villegas Izaguirre, J., Amador Garcia, M., Falconi Alejandro, G.
  • Journal: IEEE Access
  • Year: 2024

Fault Diagnosis for Takagi-Sugeno Model Wind Turbine Pitch System

  • Authors: Rodriguez, J.I.B., Hernandez-De-Leon, H.R., Marin, J.A., Zapata, B.Y.L., Guzman-Rabasa, J.A.
  • Journal: IEEE Access
  • Year: 2024

Hypertension Diagnosis with Backpropagation Neural Networks for Sustainability in Public Health

  • Authors: Orozco Torres, J.A., Medina Santiago, A., Villegas Izaguirre, J.M., Amador García, M., Delgado Hernández, A.
  • Journal: Sensors
  • Year: 2022

Ms. Mina Gachloo | Machine Learning | Best Researcher Award

Ms. Mina Gachloo | Machine Learning | Best Researcher Award

Mina Gachloo at university of North Carolina Wilmington, United States

Profiles

Scopus

Orcid

Google Scholar

Education:

Ms. Mina Gachloo is set to graduate with a Master's degree in Computer Science and Information Systems from the University of North Carolina Wilmington in December 2024, boasting a GPA of 3.8. Her research at UNCW, under the guidance of Dr. Yang Song, focuses on "Temporal Prediction of Coastal Water Quality Based on Environmental Factors with Deep Learning." Mina also holds a Bioinformatics Engineering degree from Huazhong Agricultural University in Wuhan, China, where she researched "Embedding of Cancer-Centric Entities and Knowledge Discovery." Additionally, she earned a B.Sc. in Information Technology from the University of Applied Science and Technology in Tehran, and an Associate’s degree in Information and Communication Technology from the University of Culture and Art in Tehran.

Professional Experience:

Ms. Mina has a diverse range of professional experiences. In 2023, she interned as a Data Analyst and Researcher at the UNCW Institutional Research Office, focusing on predicting the time-to-graduate for undergraduate students. As a Teaching and Research Assistant at UNCW, she conducted data cleaning, feature engineering, and implemented machine learning and deep learning models for predictive analysis. Prior to this, she worked as a Commercial Expert at Bam Khodro Company in Tehran, using SQL, Excel, and Python for data extraction, analysis, and report automation. Mina also served as a Financial Expert at Mellat Leasing Bank, facilitating loans and generating customer reports. Her career began in IT at KICCC in Tehran, specializing in Point of Sale devices and Business Intelligence.

Research Interest:

Ms. Mina's research interests include machine learning, deep learning, structure learning, data analysis, natural language processing, and computer vision. She has actively contributed to several projects, such as the construction of the Active Gene Annotation Corpus (AGAC) and the prediction of dissolved oxygen and salinity levels in the Neuse River Estuary using deep learning techniques.

Honors and Awards:

Ms. Mina's academic excellence has been recognized with multiple awards, including the Summer Research Stipend, Support for Undergraduate Research and Creativity Awards (SURCA), and CMS summer stipend at UNCW. She also received scholarships for her M.Sc. in Computer Science and Bioinformatics at Huazhong Agricultural University.

💡 Skills:

Ms. Mina is proficient in data preprocessing, machine learning, deep learning, natural language processing, and programming in Python and Java. She is skilled in using tools like Jupyter Notebook, Google Colab, Pycharm, IDLE, Microsoft Office, Pegasus, SQL, and Oracle.

 Publications:

Using Machine Learning Models for Short-Term Prediction of Dissolved Oxygen in a Microtidal Estuary
  • Authors: Mina Gachloo, Qianqian Liu, Yang Song, Guozhi Wang, Shuhao Zhang, Nathan Hall
  • Year: 2024
An overview of the active gene annotation corpus and the BioNLP OST 2019 AGAC track tasks
  • Authors: Yuxing Wang, Kaiyin Zhou, Mina Gachloo, Jingbo Xia
  • Year: 2019
A review of drug knowledge discovery using BioNLP and tensor or matrix decomposition
  • Authors: Mina Gachloo, Yuxing Wang, Jingbo Xia
  • Year: 2019
GOF/LOF knowledge inference with tensor decomposition in support of high order link discovery for gene, mutation and disease
  • Authors: Kai Yin Zhou, Yu Xing Wang, Sheng Zhang, Mina Gachloo, Jin Dong Kim, Qi Luo, Kevin Bretonnel Cohen, Jing Bo Xia
  • Year: 2019
An active gene annotation corpus and its application on anti-epilepsy drug discovery
  • Authors: Yuxing Wang, Kaiyin Zhou, Jin-Dong Kim, Kevin B Cohen, Mina Gachloo, Yuxin Ren, Shanghui Nie, Xuan Qin, Panzhong Lu, Jingbo Xia
  • Year: 2019