Chandra Wadde | Engineering | Best Researcher Award

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Mr. Chandra Wadde | Engineering | Best Researcher Award

Ph.D Scholar at SRM University-AP, India

Wadde Chandra (b. February 14, 1995) is a passionate researcher and academic in mmWave imaging and Internet of Things (IoT). Based in Siddarampuram, Andhra Pradesh, he is currently pursuing a Ph.D. at SRM University, AP, focusing on mmWave FMCW radar systems. Chandra has over two years of teaching experience and has worked on diverse IoT, AI, and radar imaging projects. His work includes significant research in near-field imaging and data analysis using Power BI. Fluent in Telugu and English, he is committed to advancing innovative technologies and contributing to academia and industry.

Profile

Scopus

Scholar

🎓 Education 

Ph.D. (2023–Present): mmWave Imaging via FMCW Radar, SRM University, AP. M.Tech (2018–2021): Internet of Things, JNTUA College of Engineering, Ananthapur. B.Tech (2014–2017): Electronics & Communication Engineering, JNTUA College of Engineering, Ananthapur. Diploma (2010–2013): Electronics & Communication Engineering, ARIES Polytechnic College. SSC (Schooling): Sri Sathya Sai Deenajanodharana Pathakam, Puttaparthi.

🏢 Experience 

Assistant Professor (2022–2023): Gudlavalleru Engineering College, handled IoT, Machine Learning, and Instrumentation. Assistant Professor (2021–2022): Sanskrithi School of Engineering, taught Analog Circuits and Communication Systems. Internships: DQA & Power BI Analysis (Efftronics Pvt. Ltd., Vijayawada, 2020–2021). ATCS Traffic Control System (Efftronics Pvt. Ltd., 2018–2019). CI & Lean Leader (Amara Raja Electronics, 2013).

🏆 Awards & Honors 

Accepted papers in SPACE 2024 and MAPCON 2024 for mmWave radar innovations. Multiple journal submissions to IEEE SENSOR Journal in progress. Presented impactful work on SAR modeling, AI, and radar technology at prestigious conferences. Recognition in professional internships for automation, data analytics, and innovation in radar technology.

🔬 Research Focus 

mmWave Imaging: Advanced radar techniques, 2D SAR imaging, and wall-interference modeling. Internet of Things (IoT): Seamless integration of smart devices and systems. Artificial Intelligence (AI): Machine learning applications in imaging and data analytics. Data Analysis: Power BI for large-scale fault detection and performance metrics.

Conclusion

Wadde Chandra’s solid educational background, hands-on research experience, and contributions to conferences make him a strong candidate for the Best Researcher Award. Continued progress in publishing impactful journal articles and expanding his professional network would bolster his candidacy and establish him as a prominent figure in his research fields.

📚Publications 

  1. Modeling of mmWave FMCW Radar System for 2D SAR Imaging
    • Conference: 2024 IEEE Space, Aerospace and Defence Conference (SPACE 2024)
    • Year: 2024
    • Pages: 1109–1112
    • Authors: Wadde, C.; Karvande, R.S.; Kumar, R.

 

  1. Preliminary Analysis of mmWave SAR Model and Machine Learning Approach
    • Conference: 2024 IEEE Space, Aerospace and Defence Conference (SPACE 2024)
    • Year: 2024
    • Pages: 1148–1151
    • Authors: Wadde, C.; Routhu, G.; Karvande, R.S.; Kumar, R.

Lateef Adamolekun | Mining Engineering| Best Researcher Award

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Mr. Lateef Adamolekun |Mining Engineering| Best Researcher Award

Mr at DANGOTE CEMENT PLC, GBOKO, BENUE STATE, NIGERAI/FEDERAL UNIVERSITY OF TECHNOLOGY, AKURE, NIGERIA,  Nigeria

Adamolekun Lateef Bankole, born on August 28, 1983, in Owo, Ondo State, Nigeria, is a highly skilled Mining Engineer with a passion for advancing mining operations through innovation and research. Currently employed at Dangote Cement Plc, Gboko Plant, since 2014, he has demonstrated expertise in mine dewatering, haulage auditing, and production scheduling. With a strong academic background, he is pursuing a Ph.D. in Surface Mining Engineering at the Federal University of Technology, Akure. Bankole is committed to enhancing mining practices while ensuring environmental safety and regulatory compliance. His work focuses on cost control, optimization of mining processes, and safety improvements in blasting operations. He is a registered Mining Engineer with COREN and COMEG and holds various professional qualifications, including a Blasting Certification.

Profile

Scopus

🎓 Education

Adamolekun Lateef Bankole holds a Ph.D. in Surface Mining Engineering (ongoing) from the Federal University of Technology, Akure (2020-present). He earned an M.Eng. in Surface Mining Engineering with a 2nd Class Upper Division from the same university (2012-2015). Prior to this, he completed a B.Eng. in Mining Engineering (2nd Class Upper Division) from the Federal University of Technology, Akure (2007-2011). He also holds a National Diploma in Mineral Resources Engineering (Upper Credit) from the Federal Polytechnic, Ado-Ekiti (2004-2006) and completed his SSCE at Ijapo High School, Akure (1996-2002).

💼 Experience

Adamolekun Lateef Bankole has been a Mining Engineer at Dangote Cement Plc, Gboko Plant, Benue State, since 2014. His responsibilities include implementing ROM haulage auditing techniques, mine dewatering, production scheduling, and ensuring compliance with environmental and safety standards. He coordinates blasting operations, overburden stripping, crushing, and stacking operations, and prepares daily mining reports for management. His expertise in blasting ground control and operational research in haulage has led to significant cost reductions and enhanced mining efficiency. Additionally, Bankole designs mining benches and supervises the construction and maintenance of mine roads and ramps.

🏆 Awards and Honors

Adamolekun Lateef Bankole has received several awards for his academic and professional excellence. In 2015, he was honored with the “Achievement Award” from IIBC Korea. He earned the “Best Paper Award” at the ISSAC 214 and ICACT 2014 conferences, organized by IIBC, Seoul, Korea. In 2012, he received the “Excellent Paper Award” from the Korea Institute of Information Technology. Bankole’s contributions were also recognized with a “Certificate of Honorary Citizenship” from the Mayor of Seong-buk district, Seoul, Korea. He has been awarded for his research work and innovation in mining engineering and safety.

🔬 Research Focus

Adamolekun Lateef Bankole’s research focuses on surface mining engineering, mine design optimization, and operational efficiency. His work includes advancements in mining cost control, blasting safety improvement, and dewatering techniques. Bankole is particularly interested in machine learning applications, such as Artificial Neural Networks (ANN), Particle Swarm Optimization-ANN (PSO-ANN), and Genetic Programming Regression (GPR), for optimizing mining operations. His research aims to enhance the productivity and sustainability of mining activities, ensuring that they meet safety and environmental standards while minimizing operational costs and maximizing efficiency in the mining industry.

Conclusion

Dr. Adamolekun Lateef Bankole demonstrates remarkable proficiency in mining engineering, research, and technological applications. His career is marked by a strong foundation in practical mining operations, combined with a commitment to academic growth and innovation. With more research-focused publications and expanded international collaboration, Dr. Bankole is poised to make a significant impact in the mining engineering field and deserves serious consideration for the Best Researcher Award. His dedication, technical expertise, and leadership skills position him as an outstanding candidate for this recognition.

Publications 📚