Rohan Duppala | Machine Learning | Young Researcher Award

Mr. Rohan Duppala | Machine Learning | Young Researcher Award

Student at VIT-AP University, India

Rohan Duppala is an emerging researcher and technologist with a strong foundation in artificial intelligence, machine learning, deep learning, and natural language processing. As a final-year B.Tech Computer Science student at VIT-AP University, he has demonstrated exceptional research capabilities, developing innovative solutions in healthcare, education, and smart transportation. Rohan has published multiple papers in reputed journals, including Scientific Reports and MDPI, and has worked on diverse AI-driven projects, from infant cry classification and Alzheimer’s detection to generative AI-based educational tools. His ability to integrate advanced AI models with real-world applications reflects a rare combination of academic rigor and practical insight. In addition to academic work, Rohan has engaged with leading technologies like Gemini, Llama 3, and Weights & Biases, earning several certifications and accolades. With a forward-thinking mindset and a passion for impactful research, he aspires to contribute meaningfully to global challenges through AI and interdisciplinary innovation.

Professional Profile 

Education🎓

Rohan Duppala is currently pursuing his Bachelor of Technology in Computer Science and Engineering at VIT-AP University in Andhra Pradesh. His education has provided a rigorous grounding in core computer science principles while enabling him to explore advanced technologies such as artificial intelligence, machine learning, and natural language processing. Prior to his undergraduate studies, he completed his intermediate education in the Mathematics, Physics, and Chemistry (MPC) stream at Narayana Junior College in Visakhapatnam. He also completed his schooling at Sri Chaitanya School in Palasa, Andhra Pradesh. Throughout his academic journey, Rohan has demonstrated consistent excellence and a strong inclination toward analytical thinking and computational problem-solving. This solid educational background has laid the foundation for his research endeavors and technical accomplishments in AI, edge computing, and intelligent systems.

Professional Experience📝

Rohan gained hands-on industry experience as an IoT Specialist at Prayana Electric between June and August 2024. During his tenure, he was instrumental in integrating IoT solutions into electric bicycles, leveraging microcontrollers, GPS, and LoRa technologies to enable real-time monitoring and smart navigation. He also spearheaded the development of a pothole detection system, optimized specifically for edge deployment on Raspberry Pi Pico, seamlessly integrating it into the e-bike ecosystem. This professional experience not only expanded his understanding of smart transportation and embedded systems but also allowed him to apply theoretical AI knowledge to practical, scalable solutions. Rohan’s work at Prayana Electric reflects his ability to bridge the gap between academic research and industry requirements, highlighting his skills in system design, data analysis, and sensor integration. His initiative, problem-solving abilities, and adaptability in a real-world setting underscore his potential as a well-rounded researcher and future technology leader.

Research Interest🔎

Rohan Duppala’s research interests lie at the intersection of artificial intelligence, healthcare, education, and smart systems. He is particularly focused on building explainable and ethically sound AI systems that can be deployed in real-world settings. His work in medical diagnostics, including projects on Alzheimer’s and Parkinson’s disease detection using deep learning, underscores a commitment to socially impactful research. Rohan also explores Generative AI and Large Language Models, applying them to applications such as automated script evaluation, infant care, and educational feedback systems. His interest in edge AI and IoT-enabled smart devices reflects a drive to create scalable, efficient, and context-aware solutions for real-time environments. By combining transformer models, retrieval augmented generation (RAG), signal processing, and explainable AI (XAI) techniques, Rohan aims to push the boundaries of intelligent automation in human-centric domains. His interdisciplinary approach and ethical consideration make his research both innovative and future-ready.

Award and Honor🏆

Rohan Duppala has been recognized for his academic and technical excellence with several awards and honors. He received a Certificate of Honor from OpenCV University in recognition of his outstanding performance in deep learning applications and project execution. Additionally, he was awarded a unique NFT (Non-Fungible Token) honor from The Hashgraph Association, celebrating his innovation and engagement in the decentralized technology community. His publications in reputed platforms such as Scientific Reports (Nature) and MDPI further reflect the quality and impact of his research. These accolades highlight not only his technical achievements but also his ability to stand out in competitive, global academic and developer communities. His participation in specialized bootcamps, advanced workshops, and certificate programs offered by Google, AWS, Cisco, and Weights & Biases has further solidified his position as an accomplished early-career researcher poised for excellence in AI-driven innovation.

Research Skill🔬

Rohan Duppala possesses an advanced and versatile skill set tailored for research in artificial intelligence and related domains. He is proficient in Python and Java, with hands-on experience in building custom convolutional neural networks, implementing transformer models, and deploying real-time deep learning systems on edge devices like Raspberry Pi. His practical expertise spans data preprocessing, hyperparameter tuning, model evaluation, explainable AI (XAI) techniques like LIME and Saliency Maps, and fine-tuning large models like LLaMA 3 8b using LoRA. He has also worked with tools such as Hugging Face Transformers, Weights & Biases, and Streamlit for model development and deployment. Rohan is skilled in retrieval augmented generation (RAG), multimodal data processing, and prompt engineering. His ability to combine AI techniques with IoT, computer vision, and NLP enables him to develop interdisciplinary solutions. These research skills, backed by strong implementation and critical thinking abilities, make him a technically mature and innovation-ready researcher.

Conclusion💡

Rohan Duppala is a highly deserving candidate for the Best Researcher Award, owing to his exceptional drive, technical acumen, and impactful research contributions at an early stage of his academic journey. His work spans critical societal applications—from medical diagnostics using deep learning to educational tools powered by large language models—demonstrating both depth and relevance. With peer-reviewed publications in reputed journals like Scientific Reports and MDPI, and hands-on innovation in smart technologies and AI systems, he has already laid a strong foundation for a distinguished research career. Given his dedication, continuous learning, and visionary approach to solving real-world problems, Rohan holds immense potential for future leadership in the fields of artificial intelligence and intelligent healthcare systems.

Publications Top Noted✍

  • Title: An extensive experimental analysis for heart disease prediction using artificial intelligence techniques
    Authors: D. Rohan, G.P. Reddy, Y.V.P. Kumar, K.P. Prakash, C.P. Reddy
    Year: 2025
    Citations: 4

  • Title: A Custom Convolutional Neural Network Model-Based Bioimaging Technique for Enhanced Accuracy of Alzheimer’s Disease Detection
    Authors: P. Reddy G., S.M.A. Kareem, Y.V.P. Kumar, P.P. Kasaraneni, M. Janapati
    Year: 2025
    Citations: 1

  • Title: Artificial intelligence-based effective detection of Parkinson’s disease using voice measurements
    Authors: G. Pradeep Reddy, D. Rohan, Y.V.P. Kumar, K.P. Prakash, M. Srikanth
    Year: 2024
    Citations: 1

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