H. Harija | Associated Electronics | Best Researcher Award

Dr. H. Harija | Associated Electronics | Best Researcher Award

Dresden University of Technology | Germany

Dr. H. Harija. is a recent Ph.D. graduate in Electrical and Chemical Engineering with extensive expertise in the design and development of advanced sensor technologies. Currently a Research Associate at TU Dresden’s MultiMOD research group, she focuses on sustainable materials-based multimodal sensors, including innovative force sensors using graphene-like materials derived from cork substrates, emphasizing cost-effective production without compromising performance. During her doctoral studies at the Indian Institute of Technology Madras, she specialized in cantilever-based flow sensors with integrated non-intrusive measurement techniques, achieving high accuracy through optical, capacitive, and inductive sensing approaches, while also developing algorithms for real-time monitoring and system integration. Her work spans experimental design, physical modeling, simulation, electro-mechanical and optical characterization, and data analysis, with several high-impact publications and multiple patent applications for low-cost, non-intrusive flow sensing technologies. Dr. Harija’s interdisciplinary training combines electrical and chemical engineering principles with hands-on laboratory skills and proficiency in MATLAB, Ansys, COMSOL Multiphysics, LTspice, ThingSpeak, and Python, enabling seamless integration of hardware and software solutions for miniaturized sensing applications. She has received awards for outstanding presentations, best papers, and research fellowships, reflecting her leadership and innovation in sensor development. With a proven track record of collaborative research, technological innovation, and sustainable engineering solutions, Dr. Harija H. continues to advance the field of instrumentation and smart sensing systems, making significant contributions to both academic research and practical applications in next-generation sensor technologies.

Profile: Google Scholar | Orcid

Featured Publications

Harija, H., George, B., & Tangirala, A. K. (2021). A cantilever-based flow sensor for domestic and agricultural water supply system. IEEE Sensors Journal, 21(23), 27147–27156.

Naveen, H., Narasimhan, S., George, B., & Tangirala, A. K. (2020). Design and development of a low-cost cantilever-based flow sensor. IFAC-PapersOnLine, 53(1), 111–116.

Nag, A., Chakraborthy, A., Vega, M. R. O., Nuthalapati, S., Harija, H., Özer, M. S., … (2023). Ultralow-cost graphene/fabric-based sensors: Characterization and preliminary results. IEEE Sensors Journal, 23(23), 28640–28648.

Harija, H., Langer, E., Prokopchuk, A., Saran, B., Arief, I., Nag, A., … (2024). A piezoresistive cork-based sustainable and robust sensor for force-sensing application. IEEE Sensors Journal, 24(20), 31867–31874.

Harija, H., Charan, K. S. H., George, B., & Tangirala, A. K. (2022). A capacitive cantilever-based flow sensor. International Conference on Sensing Technology, 344–351.

Harija, H., George, B., & Tangirala, A. K. (2024). An inductive sensing mechanism for cantilever based water flow measurement. IEEE Transactions on Instrumentation and Measurement.

Chakraborthy, A., Harija, H., Nuthalapati, S., Langer, E., Nag, A., & Altinsoy, M. E. (2023). Low-cost paper-based sensors for strain-induced applications. In 2023 16th International Conference on Sensing Technology (ICST), 1–6.

Harija, H., Chakraborthy, A., Nuthalapati, S., Langer, E., Nag, A., Richter, A., … (2023). Novel cork-based laser-induced graphene sensors: Proof-of-concept and initial results. In 2023 16th International Conference on Sensing Technology (ICST), 1–6.

Ms. Shakila Rahman | Computer Engineering | Best Researcher Award

Ms. Shakila Rahman | Computer Engineering | Best Researcher Award

Ms. Shakila Rahman , American International University – Bangladesh (AIUB)

Shakila Rahman 🇧🇩 is a Lecturer at the Department of Computer Science, AIUB 🏫. She earned her M.Sc. in AI & Computer Engineering 🤖 from the University of Ulsan, South Korea 🇰🇷, with a CGPA of 4.00/4.50 📚. Her research spans UAV networking 🚁, wireless sensor networks 🌐, and machine learning 🧠. She actively supervises undergraduate projects 👩‍💻 and has published in reputed journals 📖. With experience in academia and applied computing, she contributes passionately to AI and emerging technologies 💡. She is also active on ResearchGate, ORCID, and LinkedIn 🌍.

Professional Profile:

Orcid

🔹 Education & Experience 

Shakila Rahman completed her M.Sc. in AI & Computer Engineering 🎓 from the University of Ulsan, South Korea 🇰🇷, and her B.Sc. in Computer Science & Engineering from IIUC 🇧🇩. Currently, she serves as a Lecturer 👩‍🏫 at American International University-Bangladesh (AIUB), where she teaches core computing subjects 💻. She previously worked as a Graduate Research Assistant in South Korea 🔬 and as an Undergraduate Teaching Assistant at IIUC 👩‍🔬. Her experience blends international research, teaching, and real-world project supervision 🌐. She is skilled in Python, Java, and C++ 🧑‍💻, and fosters student innovation through hands-on learning 🧪.

🔹 Professional Development

Shakila has enhanced her technical skillset through multiple workshops and training programs 🛠️. She completed web development 💻 at BASIS BITM, mobile game/app development 🎮 with Bangladesh ICT Division, and Android app development 🤖 with Affable Technology. As a competitive programmer, she participated in ICPC, NGPC, and UVA online judges 🏆. During her B.Sc., she joined industrial events like the Tech Summit by LEADS Corporation 👩‍💼. These initiatives equipped her with a dynamic understanding of both academic theory and industry practices 🌐. She is also an IELTS-certified English communicator with a score of 6.0 🇬🇧🗣️.

🔹 Research Focus

Shakila Rahman’s research lies at the intersection of AI and networking technologies 🤖🌐. Her main focus includes UAV Networking 🚁, Wireless Sensor Networks 🛰️, Network Systems 🖧, and Optimization Algorithms 🔁. She also works with Machine Learning 🧠, Deep Learning 🧬, Image Processing 🖼️, and AR/VR applications in AI 🥽. Her work emphasizes solving real-world challenges like obstacle detection, fire/smoke recognition 🔥🚨, and human activity classification 🚶‍♂️🚨. She publishes in SCIE and SCOPUS-indexed journals 📚, contributing to the academic community with innovations in intelligent systems and computer vision 👁️‍🗨️.

🔹 Awards & Honors 

Shakila Rahman has received prestigious academic honors 🏅, including the Brain Korea Scholarship (BK21) 💰 during her M.Sc. at the University of Ulsan 🇰🇷. She was also awarded the fully funded AF1 Scholarship worth approx. $21,000 USD 🎓💵. Her research was supported by the National Research Foundation of Korea (NRF) 🇰🇷 for multiple publications 📑. These recognitions highlight her academic excellence 🌟, research potential 🔬, and commitment to global scientific collaboration 🌍. Her accolades stand as a testament to her dedication and passion in the field of Artificial Intelligence and networked systems 🚀📡.

Publication Top Notes:

🧠 Bilingual Sign Language Recognition: A YOLOv11-Based Model for Bangla and English Alphabets

  • Journal: Journal of Imaging

  • Year: 2025

  • Citations: 0

  • Summary: This study presents a YOLOv11-based model designed for real-time recognition of Bangla and English sign language alphabets. The model aims to bridge communication gaps for the hearing-impaired by accurately detecting and classifying sign language gestures.


🏙️ Towards Safer Cities: AI-Powered Infrastructure Fault Detection Based on YOLOv11

  • Journal: Future Internet

  • Year: 2025

  • Citations: 0

  • Summary: This research introduces an AI-driven approach utilizing YOLOv11 for detecting infrastructure faults in urban environments. The model enhances city safety by enabling prompt identification and maintenance of structural issues.


🧴 A Hybrid CNN Framework DLI-Net for Acne Detection with XAI

  • Journal: Journal of Imaging

  • Year: 2025

  • Citations: 0

  • Summary: The study proposes DLI-Net, a hybrid CNN framework combining DeepLabV3 for segmentation and InceptionV3 for classification, to detect and classify acne lesions. Achieving a 97% accuracy rate, the model incorporates Grad-CAM for explainable AI, enhancing transparency in dermatological diagnostics.


🚁 A Deep Q-Learning Based UAV Detouring Algorithm in a Constrained Wireless Sensor Network Environment

  • Journal: Electronics

  • Year: 2025

  • Citations: 0

  • Summary: This paper presents a Deep Q-Learning algorithm for unmanned aerial vehicles (UAVs) to navigate efficiently within constrained wireless sensor networks. The approach optimizes detouring strategies, enhancing UAV performance in complex environments.


🛡️ A Deep Learning Model for YOLOv9-based Human Abnormal Activity Detection: Violence and Non-Violence Classification

  • Journal: Iranian Journal of Electrical and Electronic Engineering

  • Year: 2024

  • Citations: 0

  • Summary: The research develops a YOLOv9-based deep learning model to classify human activities as violent or non-violent. Aimed at enhancing surveillance systems, the model contributes to improved public safety through accurate activity detection.

✅ Conclusion

Shakila Rahman is a highly suitable candidate for the Best Researcher Award due to her blend of academic excellence, innovative research, international exposure, and impactful contributions to AI and networking fields. Her work not only advances fundamental knowledge but also targets practical challenges, demonstrating a research trajectory with strong future promise. Recognizing her with this award would celebrate her achievements and encourage continued excellence in emerging technology domains. 🚀🤖📡

Prof. Dr. Mihai OPROESCU | Electronics | Best Researcher Award

Prof. Dr. Mihai OPROESCU | Electronics | Best Researcher Award

Prof. Dr. Mihai OPROESCU, National University of Science and Technology POLITEHNICA Bucharest, Romania

Mihai Oproescu is an esteemed Associate Professor at the National University of Science and Technology Politehnica Bucharest, Pitesti University Center. With a Ph.D. in Electronics and Telecommunications 🎓, he specializes in electronics, telecommunications, power devices, and bioinformatics ⚡📡. His career spans academia and industry, including leadership roles such as Dean and General Administrative Director 🏛️. Passionate about research, he has contributed to multiple Horizon 2020 and national grants 🔬. Mihai also manages international conferences and scientific symposia 🌍. His expertise extends to renewable energy, smart grids, and nanostructured materials 🔋.

Professional Profile:

Scopus

Orcid

Suitability for Best Researcher Award

Dr. Mihai Oproescu is an outstanding researcher and academic leader, making him a strong candidate for the Best Researcher Award. His expertise in electronics, telecommunications, renewable energy, and nanostructured materials has led to groundbreaking research and technological advancements. His leadership roles, contributions to Horizon 2020 projects, and interdisciplinary research solidify his impact on the scientific community.

Education & Experience 🎓🔬

📌 Education:

  • Ph.D. in Electronics and Telecommunications 🎓
  • Master’s in Electrical and Electronic Engineering 🎓
  • Bachelor’s in Electronics and Telecommunications 🎓

📌 Academic Positions:

  • Associate Professor (2022–Present) – Politehnica Bucharest, Pitesti Center 👨‍🏫
  • General Administrative Director (2022–Present) – Politehnica Bucharest, Pitesti Center 🏛️
  • Dean, Faculty of Electronics, Communications, and Computers (2017–2020) – University of Pitești 🎓
  • Vice-Dean (2016–2017) – University of Pitești 🎓
  • Head of Works (2012–2016) – University of Pitești 🎓

📌 Industry & Management Roles:

  • Manager, S.C. ECAI Conference S.R.L. (2014–Present) 📊
  • Manager, S.C. Expert Info Teach S.R.L. (2005–Present) 💼
  • Technical Consultant, Engineering and Industrial Realization, France (2003) 🏭

Professional Development 🚀

Mihai Oproescu has been at the forefront of academic innovation and technological advancements 📡. His leadership as Dean and General Administrative Director has significantly shaped university policies and research directions 🏛️. His passion for renewable energy, smart grids, and nanomaterials has led to groundbreaking research in nanostructured magnesium oxide and solar cell efficiency 🌱🔬. Beyond academia, he actively organizes international conferences and collaborates on European projects 🌍. As a mentor and researcher, Mihai is dedicated to bridging the gap between academia and industry, ensuring technological evolution and societal impact 🔄💡.

Research Focus 🔍

Mihai Oproescu’s research spans multiple high-impact fields, focusing on electronics, telecommunications, and nanostructured materials ⚙️. His Horizon 2020 projects delve into smart grid efficiency, renewable energy integration, and bioinformatics applications ⚡🌱. He has also worked on advanced power electronics, medical electronics, and static converters 🏥. His studies on vibration monitoring for infrastructure protection and nanostructured oxide layers for solar energy contribute to sustainable and resilient technologies 🌞🏗️. Mihai’s expertise in fuel cell power flows, electromagnetic shielding, and hybrid propulsion systems makes him a key figure in next-generation electronic innovations ⚡🚀.

Awards & Honors 🏆

🏅 Director, Horizon 2020 Project (2022–2023)Nanostructured Magnesium Oxide Powders
🏅 Technical Manager, Horizon 2020 Project (2021–2022)Solar Cell Efficiency Enhancement
🏅 ERA-Net Smart Grids Plus Member (2018–2021)Smart Grid Revenue Assurance
🏅 Director, UEFISCDI Grant (2016–2018)Critical Infrastructure Protection
🏅 Key Contributor, CNCSIS Grant (2007)Fuel Cell Power Flow Optimization
🏅 Researcher, CEEX-AMTRANS Project (2006–2008)Hybrid Transport Propulsion Systems
🏅 Member, MATNANTECH Project (2006–2008)Electromagnetic Shielding Solutions
🏅 Contributor, AMTRANS Project (2006–2008)Renewable Energy Conversion

Publication Top Notes:

  • 🚗 “Energy management of electric vehicle using a new strategy based on slap swarm optimization and differential flatness control” – (2024) 📖 2 citations
  • 🌪️ “Self-filtering based on the fault ride-through technique using a robust model predictive control for wind turbine rotor current” – (2024) 📖 8 citations
  • ⚡ “Application of fractional-order synergetic-proportional integral controller based on PSO algorithm to improve the output power of the wind turbine power system” – (2024) 📖 15 citations
  • 🔬 “Tailoring the Synthesis Method of Metal Oxide Nanoparticles for Desired Properties” – (2024) 📖 2 citations
  • 🔋 “Influence of Supplementary Oxide Layer on Solar Cell Performance” – (2024) 📖 2 citations