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.

Huizhi Tang | Communication Engineering | Best Researcher Award

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Dr. Huizhi Tang | Communication Engineering | Best Researcher Award

Dr at Donghua University, China

🌟 Huizhi Tang is a dedicated PhD student in Information and Communication Engineering at Donghua University, specializing in routing protocols for flying ad hoc networks and privacy protection for vehicle ad hoc networks.  She holds a Master’s degree in Information Science and Technology from Donghua University and a Bachelor’s degree in Communications Engineering from Huaibei Normal University.  Known for her hardworking and responsible nature, Huizhi thrives in team environments and enjoys exploring new fields and traveling. She is passionate about developing innovative communication solutions, particularly in the fields of drone and vehicle networks. 🌍

 

Profile

Scopus

Education 🎓

 Huizhi Tang completed her Bachelor’s degree in Communications Engineering from Huaibei Normal University (2017-2021).  She then pursued a Master’s degree in Information Science and Technology with a focus on image processing for drones at Donghua University (2021-2022).  Currently, she is in the second year of her PhD in Information and Communication Engineering at Donghua University, focusing on routing protocols for flying ad hoc networks.

Experience 🧑‍🏫

Huizhi Tang interned at Sensing Future Technology Co., Ltd., working on hardware welding and testing for a radar speed measurement project during her school internship.  Her experience has equipped her with practical skills in the field of communications and hardware testing. She is currently focused on her PhD research, working to advance routing protocols for flying ad hoc networks.

Awards and Honors 🏆

Huizhi has earned several accolades, including the provincial first prize in the “Datang Cup” during the 7th National Mobile Communication 5G Technology Competition.  She also won provincial third prizes in both the “The First Anhui Provincial College Student Transportation Science and Technology Competition” and the “National College Student Electronic Technology Competition” (Excellence Award).  Huizhi received an Excellence Award in the National Undergraduate Mathematical Modeling Competition and the “Start-up Automation Cup.” She holds a utility model patent for “An anti-fall buffer device for elevators.”

Research Focus 🔍

 Huizhi’s research focuses on routing protocols for flying ad hoc networks, with an emphasis on optimizing communication in dynamic environments.  Her work also explores privacy protection for vehicle ad hoc networks.  She has contributed articles to prestigious journals, including “Vehicular Communications” and IEEE journals on intelligent transportation systems and IoT.  Her research aims to enhance communication efficiency and security in ad hoc networks, particularly for drones and vehicles.

Conclusion ✅

Huizhi Tang is a promising and capable researcher with a strong academic foundation, a track record of high-quality publications, and innovative research in key areas of modern communication networks. Her research on flying ad hoc networks and vehicle-to-infrastructure communication is timely and impactful. With her achievements in national competitions and her published works, she has demonstrated both academic excellence and practical application. By expanding her research visibility through more international collaborations and high-impact publications, and focusing on real-world implementations of her research, Huizhi has the potential to become a recognized leader in the field of information and communication engineering. She is a strong contender for the Best Researcher Award, given her academic excellence, awards, and innovative contributions.

 

Publications 📚

  • “Blockchain-based Secure Routing Algorithm with Accumulating Trust in VANETs”
    • Conference Paper in Procedia Computer Science
    • Volume: 224, Pages 44–51
    • Year: 2023
    • Authors: Liu, M.; Tang, H.; Li, D.
    • Citations: 1

 

  • “Research on Siamese Object Tracking Algorithm Based on Knowledge Distillation in Marine Environment”
    • Article in IEEE Access
    • Volume: 11, Pages 50781–50793
    • Year: 2023
    • Authors: Zhang, Y.; Lin, Q.; Tang, H.; Li, Y.
    • Citations: 1

 

Ahmed Nouainia | Electromagnetic et electronique | Best Scholar Award

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Mr. Ahmed Nouainia | Electromagnetic et electronique | Best Scholar Award

Mr at Université tunis manar, Tunisia

Nouainia Ahmed, born on August 20, 1985, is a Tunisian physicist specializing in electromagnetic shielding and radio frequency circuits. With a Ph.D. in Physics from the Faculty of Sciences of Tunisia (2019), his work has primarily focused on optimizing shielding efficiency in communication systems. He served as a Contractual Assistant Professor at various institutions including the Higher Institute of Human Sciences of Jendouba and the Higher Institute of Technology Studies of Jendouba. In addition, Nouainia has contributed significantly to postdoctoral research at the National Institute of Research and Physical and Chemical Analysis (INRAP). He is skilled in designing RF circuits, antennas, and digital signal processing, and has actively supervised master’s and doctoral students. Nouainia is fluent in Arabic and French and possesses a strong command of English.

profile

Scopus

  • 🎓 Education 

    Nouainia Ahmed earned his Ph.D. in Physics in February 2019 from the Faculty of Sciences of Tunisia (FST) under the supervision of Professor Taoufik Aguili. His dissertation focused on modeling electromagnetic leakage in high-frequency systems and optimizing shielding efficiency. Earlier, in December 2012, he completed a specialized master’s degree at FST in Soft Matter Physics and Electromagnetic Modeling, where he experimentally determined the Landau coefficients of ferroelectric liquid crystals under the guidance of Professor Soltani Taoufik. In June 2010, Nouainia also received his master’s degree from FST. He has undergone various specialized formations and trainings in electromagnetic compatibility and cyber security. Nouainia’s academic background reflects his expertise in applied physics, particularly within the domain of communications and shielding technologies.

    🧑‍🏫 Experience 

    From 2019 to 2022, Nouainia Ahmed served as a Contractual Assistant Professor at the Higher Institute of Human Sciences of Jendouba, where he taught advanced physics courses such as Geometric Optics and Antenna Systems. In 2022-2023, he continued his role at the Higher Institute of Technology Studies of Jendouba (ISETJ), focusing on Electrical Safety, Signal Processing, and CAO labs. Simultaneously, from 2021 to 2023, Nouainia pursued postdoctoral research at the National Institute of Research and Physical and Chemical Analysis (INRAP). His areas of teaching expertise include satellite systems, antenna design, and data transmission. Additionally, Nouainia has supervised multiple students and engineers during his tenure, guiding them through master’s and doctoral programs as well as practical research projects.

    🏆 Awards and Honors 

    Nouainia Ahmed has achieved recognition for his contributions to the field of electromagnetic shielding and wave concept modeling. Throughout his academic and research career, he has been involved in international symposiums and conferences where his work was frequently highlighted and awarded. In particular, his participation at conferences such as the International Wireless Communications & Mobile Computing Conference (IWCMC) in Morocco and the Mediterranean Microwave Symposium (MMS) in France, among others, received significant accolades. His participation in renowned international research schools and forums, such as the Spring School of Electromagnetic Compatibility and the Forum for Electromagnetic Research Methods and Application Technologies (FERMAT), further exemplify his academic and research commitment. Although specifics regarding his formal awards remain limited, his achievements across various prestigious platforms and collaborative international engagements reflect his standing in the academic and research communities.

    🔬 Research Focus

    Nouainia Ahmed’s research primarily revolves around electromagnetic compatibility, shielding optimization, and high-frequency circuit design. His Ph.D. work focused on reducing electromagnetic interference (EMI) through improved shielding techniques, using innovative approaches like the Method of Moments-Generalized Equivalent Circuit (MoM-GEC). He has extended this expertise to applications in waveguide shielding, antenna design for wireless communications, and digital signal processing. His contributions to understanding electromagnetic diffraction and interference control have practical implications in both academic and industrial settings. Throughout his career, he has collaborated with international teams, enhancing his work in reconfigurable antennas, microwave structure modeling, and wireless communications. His postdoctoral research at the National Institute of Research and Physical and Chemical Analysis (INRAP) explored new techniques in RF circuit optimization and shielding effectiveness, emphasizing the development of more efficient and sustainable communication systems.

Publications Top Notes:

 

 

 

 

 

 

 

  • Wave concept in MoM-GEC formalism
    • Authors: Nouainia, A., Hajji, M., Aguili, T.
    • Conference: 2017 International Applied Computational Electromagnetics Society Symposium – Italy (ACES 2017), 7916331

 

Ali Bagheri Bardi| Digital Signal Processing | Best Researcher Award

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Assoc Prof Dr. Ali Bagheri Bardi| Digital Signal Processing | Best Researcher Award

Assoc Prof Dr.  Ali Bagheri Bardi Persian Gulf University Iran

Ali Bagheri Bardi is an accomplished mathematician with a Ph.D. from Kharazmi University, specializing in pure and applied mathematics, including functional analysis, Fourier analysis, and algebraic signal processing. He has held prestigious positions, such as a postdoctoral researcher and visiting professor at the University of Montenegro and has a significant teaching career at Persian Gulf University. Recognized for his contributions, he has received awards like the Abbas Kermani Mathematics Award. His research focuses on operator algebras, noncommutative harmonic analysis, and graph signal processing, with numerous publications in esteemed journals. He has also mentored Ph.D. students and delivered invited talks at international conferences.

Publication Profile

Scholar

Evaluation for Best Researcher Award: Ali Bagheri Bardi

Strengths for the Award:

  1. Extensive Academic and Research Background: Dr. Ali Bagheri Bardi has an impressive academic background with a Ph.D. in Mathematics from Kharazmi University and significant experience in both teaching and research at renowned institutions, including the University of Montenegro and Persian Gulf University.
  2. Diverse Research Contributions: His research spans a broad spectrum of mathematical disciplines, including pure mathematics, functional analysis, Fourier analysis, von Neumann algebras, and applied mathematics, specifically in algebraic signal processing and graph signal processing.
  3. Publication Record: Dr. Bardi has a strong publication record, with numerous papers in prestigious journals such as Signal Processing, Digital Signal Processing, and Linear Algebra and its Applications. His work is recognized for its depth and contribution to the fields of functional analysis and signal processing.
  4. International Recognition: Dr. Bardi has been invited to speak at various international conferences and universities, showcasing his expertise on a global platform. This recognition by the international community is a testament to the impact and significance of his research.
  5. Mentorship: He has supervised several Ph.D. students, guiding them through complex mathematical research, which reflects his dedication to fostering the next generation of researchers.
  6. Awards and Honors: His receipt of the Abbas Kermani Mathematics Award and an Honorable Mention in the International Mathematics Competition further highlight his excellence in research and mathematical problem-solving.

Areas for Improvement:

  1. Interdisciplinary Collaborations: While his work is strong within the realm of pure and applied mathematics, Dr. Bardi could enhance his research profile by engaging in more interdisciplinary collaborations that connect mathematics with other fields, such as computer science or engineering.
  2. Broader Impact and Outreach: Increasing public engagement through popular science articles or public lectures could help disseminate his work to a wider audience and elevate his influence beyond the academic community.
  3. Securing Larger Grants: Pursuing and securing larger-scale research grants, particularly those that support collaborative, multi-institutional projects, could further bolster his standing as a leading researcher.

🎓 Education

2004–2008  Ph.D, Kharazmi University. 2002–2004  M.Sc, Kharazmi University. 1998–2002 B.Sc, Shahid Beheshti University.

🎯 Interests

Pure Math. & Functional Analysis – Fourier Analysis – von Neumann Algebras. Applied Math. & Algebraic Signal Processing – Graph Signal Processing

💼 Working Experience

2023–2024  Postdoctoral Position, University of Montenegro, Electrical Engineering Department. 2022–2023  Visiting Professor, University of Montenegro, Electrical Engineering Department. 2020–2022  Associate Professor, Persian Gulf University. 2010–2020  Assistant Professor, Persian Gulf University.

🏆 Awards

2000  Honorable Mention, International Mathematics Competition for University Students (University College London). 2021 Abbas Kermani Mathematics Award (Shiraz University).

🎤 Invited Talks and Conferences

2009 🇪🇸 Infinite Matrices over Completely Counteractive Banach Algebras, Madrid University, Spain. 2010 🇸🇪 Operator-Valued Convolution Algebras, Chalmers University, Sweden. 2011 🇯🇵 Operator Algebras and their Applications, RIMS, Kyoto University, Japan. 2011 🇵🇱 Operator Algebras and Quantum Groups, Banach Center, Poland. 2011 🇱🇺 Noncommutative Harmonic Analysis and Representation Theory, Luxembourg University, Luxembourg. 2023 🇫🇷 Noncommutative Analysis on Groups and Quantum Groups, Université de Bourgogne Franche-Comté, France.

🎓 Ph.D. Students

Current Student
Fatemeh Zarei, Spectral Theory of Polynomial Transforms and Fourier Transform on Graphs
2021.  S. Javani, Some Analysis of K-Frames and its Dual
2019 . A. Elyaspour, An Algebraic Approach to the Structure Theory of B(H)
2018.  M. Khosheghbal, An Approach to Operator-Valued Measurable Functions

Publications

  • Wold-type decompositions in Baer⁎-rings
    GA Bagheri-Bardi, A Elyaspour, GH Esslamzadeh
    2018
  • The role of algebraic structure in the invariant subspace theory
    GA Bagheri-Bardi, A Elyaspour, GH Esslamzadeh
    2019
  • Operator-valued measurable functions
    GA Bagheri-Bardi
    2015
  • Operator-valued convolution algebras
    GA Bagheri-Bardi, AR Medghalchi, N Spronk
    2010
  • Numerical solutions of a mathematical model of plankton–oxygen dynamics using a meshless method
    A Shirzadi, S Ghayedi, M Safarpoor, G Bagheri Bardi
    2018
  • Borel structures coming from various topologies on
    GA Bagheri-Bardi, M Khosheghbal-Ghorabayi
    2017
  • Zero-padding on Connected Directed Acyclic Graphs for Spectral Processing
    L Stanković, M Daković, M Brajović, I Stanković, AB Bardi
    2023
  • Vector-valued measurable functions
    GA Bagheri-Bardi
    2019
  • An extension of Riesz dual pairing in non-commutative functional analysis
    GA Bagheri-Bardi, A Elyaspour, S Javani, M Khosheghbal-Ghorabayi
    2018
  • Fourier Analysis of Signals on Directed Acyclic Graphs (DAG) Using Graph Zero-Padding
    L Stankovic, M Dakovic, AB Bardi, M Brajovic, I Stankovic
    2023
  • Eigenvalues of Symmetric Non-normalized Discrete Trigonometric Transforms
    AB Bardi, M Dakovic, T Yazdanpanah, L Stankovic
    2023
  • The Schur decomposition of discrete Sine and Cosine transformations of type IV
    Ali Bagheri Bardi, Milos Dakovic, Taher Yazdanpanah, Fatemeh Zarei, Ljubisa Stankovic
    2023
  • Wold-type decomposition of semigroups of isometries in Baer⁎-rings
    GA Bagheri-Bardi, GH Esslamzadeh, M Sabzevari
    2021
  • Four Algorithms to Produce Approximate K-Dual Frames
    S Javani, GA Bagheri Bardi, F Takhteh
    2020

Conclusion:

The conclusion for the professional and academic profile of Ali Bagheri Bardi highlights his extensive expertise in both pure and applied mathematics, with a particular focus on functional analysis, operator algebras, and algebraic signal processing. Throughout his career, he has held prominent academic positions, contributed significantly to mathematical research, and received recognition for his scholarly achievements, including prestigious awards and invitations to international conferences. His research has led to numerous publications in high-impact journals, and his work continues to influence various fields, particularly in signal processing and noncommutative analysis. His dedication to mentoring Ph.D. students further underscores his commitment to advancing mathematical sciences.