Yogesh Thakare | Engineering | Best Researcher Award

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Yogesh Thakare | Engineering | Best Researcher Award

Dr Yogesh Thakare, Ramdeobaba University, Nagpur, India

Dr. Yogesh Thakare šŸŽ“ is an accomplished researcher and educator in Electronics and Communication Engineering. He earned his Ph.D. (2020) from SGB Amravati University, specializing in DRAM design using submicron technology šŸ’¾. Currently an Assistant Professor at Shri Ramdeobaba College of Engineering & Management, Nagpur šŸ‘Øā€šŸ«, he has published in SCIE and Scopus-indexed journals šŸ“‘. His research spans FPGA architectures, AI, IoT, and biomedical systems šŸ¤–. A GATE qualifier (94.92%), he has led government-funded projects šŸ’° and organized AI & IoT workshops šŸ—ļø. Passionate about innovation, he contributes to cutting-edge electronics and computing technologies āš”.

Publication Profile

Google Scholar

Academic Excellence

Dr. Yogesh Thakare earned his Ph.D. in Electronics Engineering from SGB Amravati University in 2020, focusing on Dynamic Random Access Memory (DRAM) design using submicron technology āš”šŸ”¬. His academic journey reflects excellence, having completed his M.Tech with Distinction (85.10%) šŸŽ“šŸ† and his B.E. with First-Class (72.62%) šŸ“šāœØ. With a strong foundation in electronics and a passion for advanced semiconductor technologies, Dr. Thakare has made significant contributions to memory design and innovation. His expertise in microelectronics and circuit design continues to drive advancements in the field, shaping the future of high-performance computing and digital storage solutions šŸ’”šŸ”.

Funded Research & Grants

Dr. Yogesh Thakare has demonstrated exceptional research leadership by securing ā‚¹24.6 Lakhs from CSIR for developing an automated water distribution system šŸ’§šŸ”¬. His innovative approach aims to enhance water management efficiency through automation, contributing to sustainable resource utilization šŸŒ±šŸ’”. This significant funding underscores his expertise in engineering solutions that address real-world challenges šŸ—ļøāš™ļø. With a strong commitment to technological advancement, Dr. Thakare continues to drive impactful research that promotes water conservation and smart distribution systems šŸŒšŸ“Š. His work not only fosters scientific progress but also supports community welfare by ensuring efficient and equitable water access šŸš°āœ….

Experience

Dr. Yogesh Thakare is an experienced educator with over 14 years of teaching in top engineering institutes šŸ«, including Shri Ramdeobaba College of Engineering and Management, Nagpur. As an Assistant Professor, he has played a key role in shaping technical education šŸ“š. His passion for emerging technologies has led him to organize numerous workshops on Artificial Intelligence šŸ¤–, the Internet of Things šŸŒ, and Machine Learning šŸ“Š, empowering students with cutting-edge knowledge. Through his dedication to academic excellence and innovation, Dr. Thakare continues to inspire the next generation of engineers and researchers šŸš€.

Research Focus

Dr. Yogesh Thakare’s research spans electronics, artificial intelligence, IoT, and machine learning šŸ¤–šŸ“”. His work includes DRAM memory design šŸ—ļøšŸ’¾, FPGA-based cryptography šŸ”, and deepfake detection using neural networks šŸ•µļøā€ā™‚ļøšŸŽ­. He has contributed to environmental intelligence systems šŸŒ±šŸ“Š, weather prediction for agriculture šŸŒ¦ļøšŸšœ, and smart monitoring technologies šŸ“”šŸ . Additionally, he has explored cortisol detection for stress monitoring šŸ§Ŗāš•ļø and crime reporting frameworks šŸš”šŸ“œ. His interdisciplinary research integrates hardware and AI-driven solutions, making impactful advancements in computing, security, and human well-being šŸ”¬šŸ’”. His innovative approach bridges technology and real-world applications, enhancing automation, safety, and intelligence. šŸš€

Publication Top Notes

Intelligent Life Saver System for People Living in Earthquake Zone.

An Effect of Process Variation on 3T-1D DRAM

Analysis of power dissipation in design of capacitorless embedded DRAM

IoT-Enabled Environmental Intelligence: A Smart Monitoring System

Detection of Deepfake Video Using Residual Neural Network and Long Short-Term Memory.

A Read-out Scheme of 1T-1D DRAM Design with Transistor Assisted Decoupled Sensing Amplifier in 7 nm Technology

Enhancing weather prediction and forecasting for agricultural applications using machine learning

FPGA Implementation of Compact Architecture for Lightweight Hash Algorithm for Resource Constrained Devices

Crafting visual art from text: A generative approach

Cortisol Detection Methods for Stress Monitoring: Current Insight and Future Prospect: A Review

An Ensemble Learning with Deep Feature Extraction Approach for Recognition of Traffic Signs in Advanced Driving Assistance Systems

Development and design approach of an sEMG-based Eye movement control system for paralyzed individuals

 

Hakim Azizi | Engineering | Best Researcher Award

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Dr.Hakim Azizi | Engineering | Best Researcher Award

Ziane Achour Djelfa university,Ā  Algeria

Azizi Hakim is an experienced academic and researcher currently serving as a Maitre de ConfƩrences Classe A at Ziane Achour University of Djelfa, Algeria. Born on August 8, 1985, in Taher, Algeria, he has devoted his career to teaching and research in the field of electrotechnics. His work primarily focuses on the impact of electromagnetic disturbances on high-power equipment and the development of intelligent diagnostic systems for industrial applications.

Profile

Scopus

Education šŸŽ“

PhD in Electrotechnics from the University of Science and Technology Houari Boumediene, Algiers (2020). His doctoral thesis focused on the influence of external electromagnetic disturbances on high-field equipment. Magister in Electrical Engineering from the Ecole Militaire Polytechnique, Algiers (2011). His thesis explored the design of a measurement cell for evaluating radiated electromagnetic disturbances. Engineering Degree in Electrotechnics from Jijel University (2009), where he specialized in electrical networks and graduated with honors.

Experience šŸ’¼

Teaching practical and theoretical courses in electrotechnics, electromagnetic wave propagation, and algorithmic systems at institutions such as the Military Polytechnic School of Algiers and the University of MƩdƩa. He has held academic positions at Ziane Achour University since 2013 and has conducted scientific research stays at the prestigious Ecole Centrale de Lyon in France (2016-2017, 2018-2019).

Research Interests šŸ”

Electromagnetic systems, with a particular focus on how disturbances affect industrial equipment. Electrical power networks and the design of diagnostic tools for fault detection in high-power installations. Machine learning applied to industrial diagnostic systems, with a strong focus on intelligent monitoring and control systems.

Awards šŸ†

A highly honorable mention for his doctoral thesis on electromagnetic disturbances. Acknowledgments for his contributions to the advancement of electrotechnic diagnostics and innovative approaches to electrical systems engineering.

Publications Top NotesšŸ“š

  1. Arc plasma energy evolvement in 60 kV network circuit breakers | Ocena energii łuku plazmowego w wyłącznikach sieciowych 60 kV
    • Authors: Belkhir, S., Ziani, A., Azizi, H., Moulai, H.
    • Year: 2022

 

  1. Sequential adaptive sampling based on cubic spline interpolation to accelerate the near field scanning
    • Authors: Kihal, M.C., Moulai, H., Azizi, H., Smartt, C., Thomas, D.W.P.
    • Year: 2022

 

  1. Analytical and numerical models compared with measurements for analysis of electromagnetic radiation through apertures of a metallic enclosure
    • Authors: Azizi, H., Chebout, M., Moulai, H., BrĆ©ard, A., Vollaire, C.
    • Year: 2020

 

  1. A model assisted probability of detection approach for ECNDT of hidden defect in aircraft structures
    • Authors: Chebout, M., Azizi, H., Mekideche, M.R.
    • Year: 2020

 

  1. Electromagnetic shielding performance of a metallic enclosure with apertures
    • Authors: Azizi, H., Chebout, M., Moulai, H., BrĆ©ard, A., Vollaire, C.
    • Year: 2020

 

  1. Electromagnetic interference from shielding effectiveness of a rectangular enclosure with apertures – Circuital approach, FDTD and FIT modelling
    • Authors: Azizi, H., Tahar Belkacem, F., Moussaoui, D., Bendaoud, A., Bensetti, M.
    • Year: 2014

 

Seyyed Ali Mousavi Gavgani | Civil Engineering | Best Scholar Award

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Ā Dr. Seyyed Ali Mousavi Gavgani | Civil Engineering | Best Scholar Award

 

šŸ‘Øā€šŸ«Professional SummaryĀ šŸŒŸ

Seyyed Ali Mousavi Gavgani is a dedicated Ph.D. candidate in Structural Engineering at Kharazmi University, Tehran, Iran, with a focus on Semi-Active Control of Offshore Platforms using Inertial-Based Dampers. His academic journey includes an outstanding Master’s degree in Structural Engineering from the University of Maragheh, where he explored Optimum Control of High Rise Buildings with Magneto-Rheological Dampers. Seyyed Ali has earned numerous honors and awards, showcasing his exceptional talents and commitment to academic excellence. His extensive list of publications, both in journals and conference proceedings, reflects his contributions to the field of structural engineering. As an active member of the academic community, he has served as a teaching and research assistant, displaying his dedication to advancing knowledge in structural control and engineering.

I currently work on the structural control due to seismic and wave excitations, using active (mainly tuned mass damper) and semi-active (mainly Magneto-rheological dampers) control devices. Also, i work on health monitoring of bridges with new methods (mainly signal processing methods). For the future i hope to generalize the works on real structures with considering all uncertainties.

šŸŒ Professional Profiles

šŸŽ“ Education

Ph.D. Structural Engineering, Kharazmi University, Iran (09/2021-Present) Thesis: Semi-Active Control of Offshore Platforms Using Inertial-Based Dampers Supervisor: Prof. Seyed Hossein Hosseini Lavassani (Iran) Advisor: Prof. Gebrail Bekdaş (Turkey) Cumulative GPA: 18.79 / 20.00 | Cumulative GPA on a 4.00 scale: 4.00. M.S. Structural Engineering, University of Maragheh, Iran (10/2017-02/2020) Thesis: Optimum Control of High Rise Buildings with Magneto-Rheological Damper under Near-Fault and Far-Fault Earthquake Motions Using Particle Swarm Optimization Algorithm Supervisors: Prof. Maziar Fahimi Farzam (Iran), Prof. Babak Alinejad (Iran) Advisor: Prof. Gebrail Bekdaş (Turkey) Cumulative GPA: 18.56 / 20.00 | Cumulative GPA on a 4.00 scale: 4.00. B.E. Civil Engineering, University of Maragheh, Iran (10/2013-09/2017) Cumulative GPA: 15.52 / 20.00.

šŸ” Research Interests

Structural Control (with Passive, Active, and Semi-Active methods) Structural Health Monitoring Offshore Structures Vibrations Inertial-Based Dampers Soil-Structure Interaction (SSI)

šŸ† Honors and Awards

Achieving elite by Iran’s National Elites Foundation (INEF), 2023. Achieving elite by Iran’s National Elites Foundation (INEF), 2022. Study for Ph.D. degree with exceptional talents program, 2021. Achieving elite by Iran’s National Elites Foundation (INEF), 2020. Graduation by obtaining the “First” rank of incoming students with a grade point average of “A” and defending the thesis with an “Excellent” grade, 2020. Winner of the grand scientific prize “Poulad” and being among the top researchers in the universities of East Azerbaijan province, 2020. Top researcher in master’s degree, 2019. Top researcher of the engineering faculty, 2019. Top paper of the conference “The first National Conference on Civil Engineering Role Reduction” in the field of structural and earthquake engineering, 2019. Study for master’s degree with exceptional talents program, 2017.

šŸ‘Øā€šŸ« Assistant Experiences

Teaching Assistant:

University of Maragheh (09/2018-02/2020) Dynamics of Structures. Control of Structures. Kharazmi University (01/2023-06/2023) Control of Structures.

Research Assistant:

Assistant to Professor Maziar Fahimi Farzam (03/2018-02/2020), Assistant to Professor Seyed Hossein Hosseini Lavassani (09/2022-Present)

Technical Assistant:

  • Assistant to Professor Seyed Hossein Hosseini Lavassani.

šŸ“šTop Noted Publication

Current trends in the optimization approaches for optimal structural control Paper Published in 2020 Cited by 20

Semi-active control of buildings using different control algorithms considering SSI Paper Published in 2023 Cited by 10

Semi-active control of jacket platforms under wave loads considering fluid-structure interaction Paper Published in 2021 Cited by 9

Optimal control of jacket platforms vibrations under the simultaneous effect of waves and earthquakes considering fluid-structure interaction) Paper Published in 2023 Cited by 5

Control of a jacket platform under wave load using ATMD and optimization by HSA Paper Published in 2021 Cited by 4

statistical performance of semi-active controlled 10-storey linear building using mr damper under earthquake motions Paper Published in 2021 Cited by 3

Seismic Control of a 10-Storey Shear Frame Using Active Tuned Mass Dampers and Particle Swarm Optimization Algorithm Paper Published in 2020 Cited by 3

An analysis on new Cobiax roof Paper Published in 2015 Cited by 3

Optimal control of jacket platform under wave vibration with Active Tuned Mass Damper Paper Published in 2021 Cited by 2

Structural damage detection from dynamic responses of the bridge deck under a moving load using discrete wavelet transform Paper Published in 2022 Cited by 1

 

 

Ritha Nyirandayisabye| civil engineering | Young Scientist Award

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Ms. Ritha Nyirandayisabye | civil engineering | Young Scientist AwardĀ 

 

šŸ‘Øā€šŸ« šŸ‘Øā€šŸ«Ms Ritha Nyirandayisabye at University ofUniversity of chinese academy of sciences Rwanda of Development civil engineering , stands as a distinguished Student/Member in the domain of Engineering. Holding a PhD candidate at University of Chinese Academy of Sciences at Institute of Mountain Hazards and Environment,China. Present, their professional journey exemplifies dedication and expertise. šŸ“š

šŸŒ Professional Profiles

šŸŽ“Ā Education Background

PhD Candidate University of Chinese Academy of Sciences Institute of Mountain Hazards and Environment, China (Present), Master’s in Civil Engineering Fujian University of Technology, China (2019-2023), Bachelor of Science (Hons) in Civil Engineering University of Rwanda (2014-2018), Rwanda Advanced Certificate of Education, FAWE GIRLSā€™ SCHOOL, Rwanda (2011-2013)

 

šŸ”Ā Point of Researcher Interest

  • Road Construction Material
  • Water and Wastewater Treatment
  • Artificial Intelligence
  • Automatic Pavement Damage Predictions
  • Road Pavement Damage Prediction Based on Tire Noise Propagation using SVM Algorithm

šŸ‘©ā€šŸ« Ā Employment History

Reviewer International Journal of Pavement Research and Technology (August 2023 – Present). Secondary School Teacher KARENGERA TVET SCHOOL (May 2019 – August 2019) Subjects: Concrete Technology, Tile Construction, Autocad, Structure Design. Professional Internship AFRIPRECAST LTD (July 2018 – September 2018) Tasks: Casting of Precast Elements, Construction and Erection of Beams, Columns, Wall Panels. Academic Internship Landmark Studio (June – August 2017) Project: Construction of a Building for Storing Archives of MINECOFIN and BPR. Self-Employment Started own business of purchasing crops and selling to other businessmen (June – August 2016)

šŸ† Training With Certificate

Digital Image Processing (May 2022), Accelerate Python for Data Science and Machine Learning with oneAPI AI Analytics Toolkit (April 2022), Rwanda Red Cross Training on Emergency First Aid (March 2018), Women in Innovation Program (June 2017), Africa Youth Leadership Forum (2015), Certificate of Chinese Proficiency, Certificate of English Proficiency, Elsevier Recognition Certificate

šŸ’»Ā Computer Skills

Data Processing Software (SPSS), MapGIS, PYTHON, Microsoft Word, Excel, and PowerPoint, Origin Software, XPS Software, Arch CAD, AutoCAD-3D, PROKON, PROTA, Scientific Report Writing, ArcGIS, ENVI

šŸ¤ Ā Social Skills

  • Hardworking and Eager to Learn
  • Knowledge in First Aid
  • Adaptation to the Particularities of a Multicultural Environment

šŸŽ­ Ā Hobbies

  • Church Outreach
  • Teaching, Tutoring, and Mentoring
  • Sports: Basketball, Volleyball, Tennis

šŸ“šTop Noted Publication

    1. “Crack Damage Prediction of Asphalt Pavement Based on Tire Noise: A Comparison of Machine Learning Algorithms”
      • Published in Construction and Building Materials, January 2024
      • DOI Link
    2. “Automatic Pavement Damage Predictions Using Various Machine Learning Algorithms: Evaluation and Comparison”
      • Published in Results in Engineering, December 2022
      • DOI Link
    3. “Valuable and Sustainable Option for Reusing Carwash Wastewater in Nyarugenge District, Rwanda”
      • Published in Pol. J. Environ. Stud., April 2022
      • DOI Link
    4. “Intelligent Damage Diagnosis in Bridges Using Vibration-Based Monitoring Approaches and Machine Learning: A Systematic Review”
      • Published in Results in Engineering, December 2022
      • DOI Link
    5. “Behavior of Concrete-Encased Concrete-Filled Steel Tube Columns Under Diverse Loading Conditions: A Review of Current Trends and Future Prospects”