Saa hosseinzadeh | structural health monitoring | Best Researcher Award

Posted on 12/10/2024 by ScienceFather

Mr. Saa hosseinzadeh | structural health monitoring | Best Researcher Award

Assistant Professor at golestan University, gorgan, golestan, Iran.

Dr. Seyed Ali Asghar Hosseinzadeh is an Assistant Professor of Civil Engineering at Golestan University, Iran, specializing in structural and earthquake engineering. He earned his Ph.D. in Structural Engineering from Amirkabir University of Technology, with a focus on seismic behavior of steel plate shear walls. His research areas include thin-walled structures, seismic retrofitting, and finite element modeling. With extensive teaching experience, Dr. Hosseinzadeh has supervised numerous M.Sc. and Ph.D. students and has worked on significant retrofitting projects, including the vulnerability assessment of bridges on Hemmat Highway in Tehran.

Publication profile

Scholar

🎓 Education

Ph.D. in Structural Engineering – Amirkabir University of Technology, Tehran, Iran (2007-2012) Thesis: Seismic Behavior of Steel Plate Shear Walls with Window and Door-Type Openings. M.Sc. in Earthquake Engineering – Amirkabir University of Technology, Tehran, Iran (2004-2006)
Thesis: Buckling and Post-Buckling Behavior of Cracked Shear Panels. B.Sc. in Civil Engineering – Amirkabir University of Technology, Tehran, Iran (2000-2004)

🧪 Research Interests

Thin-Walled Structures
Seismic Retrofitting of Structures and Bridges
Linear and Nonlinear Seismic Behavior of Structural Systems
Finite Element Modeling (FEM)
Soil-Structure Interaction (SSI)
Earthquake Energy Dissipation Systems

🏅 Honors

Ranked 2nd among B.Sc. Civil Engineering Students at Amirkabir University of Technology (2003)

🔧 Professional Experience

Assistant Professor – Golestan University (2014-Present). Project Manager – Retrofitting Bridges on Hemmat Highway, Tehran (2007-2010. Assistant in Retrofitting Department – Transportation Research Institute, Tehran (2010-2011)

📚 Teaching Experience

Undergraduate Courses: Static, Dynamics, Structural Analysis, Solid Mechanics, Steel Structure Design, Bridge Engineering, etc. Graduate Courses: Theory of Plate and Thin-Walled Structures, Seismic Design, Soil-Structure Interaction, Seismic Risk Analysis

👨‍🎓 Student Supervision

M.Sc. Thesis Supervision: Topics include steel shear walls, foundation uplift, seismic behavior, and diversion dam stresses. Ph.D. Thesis Supervision: Co-supervised research on the behavior of steel shear walls with openings.

Publication

Introduction of Stiffened Large Rectangular Openings in Steel Plate Shear Walls
- Authors: S.A.A. Hosseinzadeh, M. Tehranizadeh
- Published in: Journal of Constructional Steel Research
- Citations: 99 (2012)

Influence of Central Cracks on Buckling and Post-Buckling Behavior of Shear Panels
- Authors: M.M. Alinia, S.A.A. Hosseinzadeh, H.R. Habashi
- Published in: Thin-Walled Structures
- Citations: 92 (2007)

Numerical Modelling for Buckling Analysis of Cracked Shear Panels
- Authors: M.M. Alinia, S.A.A. Hosseinzadeh, H.R. Habashi
- Published in: Thin-Walled Structures
- Citations: 87 (2007)

The Wall–Frame Interaction Effect in Steel Plate Shear Wall Systems
- Authors: S.A.A. Hosseinzadeh, M. Tehranizadeh
- Published in: Journal of Constructional Steel Research
- Citations: 51 (2014)

Behavioral Characteristics of Code-Designed Steel Plate Shear Wall Systems
- Authors: S.A.A. Hosseinzadeh, M. Tehranizadeh
- Published in: Journal of Constructional Steel Research
- Citations: 49 (2014)

Buckling and Post-Buckling Strength of Shear Panels Degraded by Near-Border Cracks
- Authors: M.M. Alinia, S.A.A. Hosseinzadeh, H.R. Habashi
- Published in: Journal of Constructional Steel Research
- Citations: 44 (2008)

Behavior of Steel Plate Shear Walls with Stiffened Full-Height Rectangular Openings
- Authors: M.A. Barkhordari, S.A.A. Hosseinzadeh, M. Seddighi
- Published in: Asian Journal of Civil Engineering
- Citations: 27 (2014)

Behavior of FRP-Reinforced Steel Plate Shear Walls with Various Reinforcement Designs
- Authors: M. Seddighi
- Published in: Steel and Composite Structures
- Citations: 11 (2019)

A Novel Unsupervised Deep Learning Approach for Vibration-Based Damage Diagnosis Using a Multi-Head Self-Attention LSTM Autoencoder
- Authors: S. Ghazimoghadam, S.A.A. Hosseinzadeh
- Published in: Measurement
- Citations: 9 (2024)

Conclusion ✨

Dr. Seyed Ali Asghar Hosseinzadeh is a well-established researcher in the field of structural and earthquake engineering with significant practical contributions, particularly in the seismic retrofitting of critical infrastructure. His focus on thin-walled structures and energy dissipation systems aligns well with the ongoing need for seismic safety. With increased international visibility and the integration of emerging technologies, he could further strengthen his candidacy for the Best Researcher Award. His solid academic foundation and practical experience make him a strong contender for this accolade.

Cem Erkmen | Electrochemical Sensors | Young Scientist Award

Posted on 10/10/2024 by ScienceFather

Assist Prof Dr. Cem Erkmen | Electrochemical Sensors | Young Scientist Award

PHD at Istanbul Aydin University , Turkey

Dr. Cem Erkmen is an Assistant Professor of Analytical Chemistry at Istanbul Aydın University, specializing in separation techniques, biosensors, and drug analysis. He completed his Ph.D. in Analytical Chemistry at Ankara University in 2022 and has received multiple research scholarships from TÜBİTAK and YÖK. Dr. Erkmen’s research focuses on HPLC, electrochemistry, and aptasensors, particularly for detecting biomarkers. With an h-index of 13 and over 500 citations, he has authored numerous peer-reviewed articles in leading journals. He also serves as the Head of the Department of Basic Pharmaceutical Sciences at Istanbul Aydın University.

Publication profile

Scholar

🎓 Education

Ph.D. in Analytical Chemistry – Ankara University (2022). M.Sc. in Analytical Chemistry – Ankara University (2017). B.S. in Chemical Engineering – Gazi University (2014). B.S. in Business Administration – Anadolu University (2018)

🏛 Academic and Administrative Experience

Assistant Professor – Istanbul Aydın University (2024 – Present). Head of Department – Basic Pharmaceutical Sciences, Istanbul Aydın University (2024 – Present). Faculty Council Member – Istanbul Aydın University (2024 – Present)

🧪 Research Interests

Separation Techniques, HPLC, Drug Analysis
Spectrophotometry, Electrochemistry
Biosensors, Nanosensors, Aptasensors
Method Validation, Biomarker Determination

📊 Citation Metrics

h-index: 13 (Web of Science & Scopus)
Citations: 464 (Web of Science), 592 (Scopus)

Publication

Frontiers in Electrochemical Enzyme-Based Biosensors for Food and Drug Analysis

Authors: S. Kurbanoglu, C. Erkmen, B. Uslu

Published in: TrAC Trends in Analytical Chemistry

Citations: 123 (2020)

Focuses on the advancements in enzyme-based biosensors for the analysis of food and drugs.

Molecularly Imprinted Polymers (MIPs) Combined with Nanomaterials for Electrochemical Sensing Applications

Authors: S. Rahman, B. Bozal-Palabiyik, D. N. Unal, C. Erkmen, et al.

Published in: Trends in Environmental Analytical Chemistry

Citations: 70 (2022)

Discusses the use of MIPs and nanomaterials for detecting environmental pollutants.

Fabrication of Poly(3,4-ethylenedioxythiophene)-Iridium Oxide Nanocomposite-Based Tyrosinase Biosensor

Authors: C. Erkmen, S. Kurbanoglu, B. Uslu

Published in: Sensors and Actuators B: Chemical

Citations: 47 (2020)

Describes a biosensor for detecting catechol and azinphos methyl.

Modified Indium Tin Oxide Electrodes: Applications in Pharmaceutical, Biological, Environmental, and Food Analysis

Authors: H. Silah, C. Erkmen, E. Demir, B. Uslu

Published in: TrAC Trends in Analytical Chemistry

Citations: 45 (2021)

Explores the electrochemical applications of modified indium tin oxide electrodes.

Molecularly Imprinted Electrochemical Sensors for Pharmaceutical Applications

Authors: B. Bozal-Palabiyik, C. Erkmen, B. Uslu

Published in: Current Pharmaceutical Analysis

Citations: 34 (2020)

Focuses on electrochemical sensors based on ortho-phenylenediamine polymerization.

Tyrosinase Nanobiosensor for Detection of Hormone Drugs

Authors: C. Erkmen, Y. Demir, S. Kurbanoglu, B. Uslu

Published in: Sensors and Actuators B: Chemical

Citations: 25 (2021)

Introduces a tyrosinase-based biosensor for hormone drug detection.

Analytical Methods for β-Blockers: An Overview

Authors: S. Yıldırım, C. Erkmen, B. Uslu

Published in: Critical Reviews in Analytical Chemistry

Citations: 21 (2022)

Reviews analytical methods used for detecting β-blockers over the last decade.

Electroanalytical Methods for Determining Pesticides Using Bimetallic Nanomaterials

Authors: C. K. Dindar, C. Erkmen, B. Uslu

Published in: Trends in Environmental Analytical Chemistry

Citations: 19 (2021)

Covers the use of bimetallic nanomaterials in pesticide detection.

Sathya Prakash Racharla | Wireless sensor networks | Excellence in Research

Posted on 04/09/2024 by ScienceFather

Mr. Sathya Prakash Racharla | Wireless sensor networks | Excellence in Research

B.Tech in Information Technology (2004), UGC-NET qualified in Computer Science and Applications (2020). M.Tech in Computer Science and Engineering (2011), with nearly 11 years of teaching experience in Programming, Data Structures, and other core subjects for B.Tech. classes at various institutes.

Publication profile

Scopus

Scholar

🎯 Objective

To associate with a dynamic institute that provides a platform to update my knowledge and skills in teaching and research, anticipating and leading changes.

🏆 Achievements

TS-SET 2022: Qualified, Osmania University (March 2023) UGC-NET (June 2020): Qualified in Computer Science and Applications. NPTEL Discipline Star (Dec 2019): Computer Science and Engineering. FET 2010: Qualified, Jawaharlal Nehru Technological University Hyderabad

🎓 Academic Qualifications

NET: UGC-NET (June 2020) in Computer Science and Applications. M.Tech: Computer Science and Engineering (2011), First Class with Distinction, SSEC Bandlaguda, Hyderabad. B.Tech: Information Technology (2004-08), First Class with Distinction, JITS, Karimnagar, Telangana. 12th Class: Sri Triveni Junior College, First Class, Godavarikhani, Dist: Karimnagar, Telangana. 10th Class: Sri Vishwa Shanthi High School, First Class, NTPC, Dist: Karimnagar, Telangana

🏫 Teaching Experience

Asst. Prof. in Artificial Intelligence: Anurag University, Ghatkesar, Hyderabad (02-08-2023 to 30-04-2024) Asst. Prof. in Computer Science and Engineering: MVSR Engineering College, Hyderabad (07-09-2022 to 31-07-2023). Sr. Asst. Prof. in Computer Science and Engineering: CVR College of Engineering, Hyderabad (02-06-2014 to 30-08-2022). Asst. Prof. in Computer Science and Engineering: Sree Chaitanya Institute of Technological Sciences, Karimnagar (13-12-2011 to 21-05-2014). Asst. Prof. in Computer Science and Engineering: Nigama Engineering College, Karimnagar (13-12-2011 to 21-05-2014)

🔬 Research Experience

Completed Pre-Ph.D. at SRM Institute of Science and Technology, Kattankulathur, Chennai

Research Excellence Evaluation: Sathya Prakash Racharla

Strengths for the Award:

Academic and Professional Credentials: Educational Background: Sathya Prakash Racharla holds a B.Tech in Information Technology, an M.Tech in Computer Science and Engineering, and has qualified UGC-NET in Computer Science and Applications. Teaching Experience: With over 11 years of experience, he has taught core subjects in various prestigious institutes and has held roles ranging from Assistant Professor to Senior Assistant Professor. Research Contributions: He has published numerous papers in reputed journals and conferences, demonstrating a significant contribution to his field, particularly in wireless sensor networks, machine learning, and data science. Achievements and Certifications: Certifications: Completion of various MOOCs through NPTEL and FDPs through AICTE indicates a commitment to continuous learning and staying updated with the latest advancements. Awards: Recognized for excellence through NPTEL and TS-SET certifications, which highlight his proficiency and dedication to the field of Computer Science. Research Experience: Publications: A strong record of publications in international journals and conferences demonstrates a high level of research activity and impact in areas like wireless sensor networks, machine learning, and data science. Pre-Ph.D. Completion: The completion of Pre-Ph.D. from a reputable institute further indicates his readiness for advanced research and contributes to his research profile.

Areas for Improvement:

Research Grants and Projects: Grants: There is limited information on substantial research grants or major projects led by the candidate. Securing and leading significant research grants can enhance his research profile and funding capabilities. Research Impact: Expanding on the practical impact and applications of his research work could strengthen his overall profile and demonstrate a broader impact in his field. Advanced Research Contributions: Innovation and Patents: While he has a strong publication record, involvement in innovative research leading to patents or groundbreaking technologies could further enhance his profile. Collaborations and Multidisciplinary Research: Engaging in interdisciplinary research and collaborations could provide a more comprehensive approach to complex problems and increase visibility in diverse research communities.

Publication top notes

Title: A review on localization problems in wireless sensor network: Algorithmic and performance analysis
Authors: SP Racharla, J Kalaivani
Year: 2021

Title: An Iterative approach for the Restoration of Motion Blurred Images
Authors: MSP Racharla, MKS Babu, AK Jakkani
Year: Not provided

Title: Hybridised swarm intelligence approach for multi-objective-based node localisation in wireless sensor network: hybrid glow-worm and cat swarm algorithm
Authors: SP Racharla, K Jeyaraj
Year: 2024

Title: Review on RBFNN design approaches: A case study on diabetes data
Authors: R Cheruku, D Tripathi, Y Narasimha Reddy, S Prakash Racharla
Year: 2018

Title: Reducing Overfitting Problem in Machine Learning using L1/4 Activation Function
Authors: SP Racharla, M Umar, VDS Krishna
Year: 2020

Conclusion:

Sathya Prakash Racharla is a well-qualified and experienced academic with a solid background in computer science and engineering. His achievements, teaching experience, and research contributions position him as a strong candidate for recognition in research excellence. To further strengthen his profile, focusing on securing significant research grants, engaging in innovative projects, and expanding his impact through interdisciplinary research would be beneficial. His commitment to continuous learning and contributions to his field are commendable and align well with the criteria for excellence in research.

S.UMAMAHESWARI | Electronics | Best Innovation Award

Posted on 04/05/2024 by ScienceFather

Dr. S.UMAMAHESWARI | Electronics | Best Innovation Award

Dr. SRM Institute of Science and Technology, India

👩‍🔬Driven by a passion for Electronics and Communication Engineering, I have steadily advanced my academic journey, culminating in a Ph.D. from Karunya Institute of Technology and Sciences, Coimbatore. Prior to this, I completed an M.Tech from PRIST University and a B.E. from A.V.C College of Engineering. With over 6 years of academic experience, I currently serve as an Assistant Professor at SRM IST, Kattankulathur. My research focus includes image processing, with my doctoral thesis exploring QR code-based image steganography. I am a proud member of esteemed professional organizations and have garnered several honors and awards for my contributions to the field. 🌟

Profile

Scholar

Education 🎓

Ph.D. in Electronics and Communication Engineering Institution: Karunya Institute of Technology and Sciences, Coimbatore Year: Jan 2016. M.Tech in Communication Systems Institution: PRIST University, Thanjavur Year: May 2013 B.E. in Electronics and Communication Engineering Institution: A.V.C College of Engineering (Anna University) Year: May 2011.

Thesis Title 📝

Field: Image Processing
Title: QR code based Image Steganography approaches using Frequency domain and Optimization Techniques
Guide Name: Dr. D. JUDE HEMANTH
Duration: From [Start Date] to [End Date]
FT/PT: [Full-Time/Part-Time]

Academic Experience 👨‍🏫

Institution: SRM IST, Kattankulathur
- Title: Assistant Professor
- From: August 1, 2016
- To: Till Date (April 2024)
- FT/PT: Full-Time
Institution: A.V.C College of Engineering
- Title: Assistant Professor
- From: August 1, 2011
- To: December 31, 2012
- FT/PT: Full-Time

Honors and Awards 🏆

Second Prize
- Nature: Paper presentation on “Brain Computer Interface”
- Event: Sri Manakula Vinayagar Engineering College, Pondicherry, 2010.
First Prize
- Nature: Paper presentation on “Voice operated intelligent Wheel chair”
- Event: Dhanalakshmi College of Engineering, Chennai, 2010.
Second Prize
- Nature: Paper presentation on “Speak Up”
- Event: Cauvery Engineering College, Trichy, 2010.
Second Prize
- Nature: Paper presentation on “Automatic level crossing gates”
- Event: Arasu Engineering College, Kombakonam, 2009.
Second Prize
- Nature: Paper presentation on “Voice operated intelligent Wheel chair”
- Event: Periyar Maniammai University, Thanjavur, 2009.

Publications Top Notes 📝

Frequency domain QR code based image steganography using Fresnelet transform
- Authors: S. Uma Maheswari, D. Jude Hemanth
- Journal: International Journal of Electronics and Communication
- Year: 2015
- Volume: 69
- Issue: 1
- Pages: 539-544
- Citations: 63*

Performance enhanced Image Steganography Systems using Transforms and Optimization Techniques
- Authors: SU Maheswari, DJ Hemanth
- Journal: International Journal of Multimedia tools and Applications
- Year: 2017
- Volume: 1
- Issue: 1
- Pages: 1-22
- Citations: 37

Application of Genetic Algorithm and Particle Swarm Optimization techniques for improved image steganography systems
- Authors: DJ Hemanth, S Umamaheswari, DE Popescu, A Naaji
- Journal: Open Physics
- Year: 2016
- Volume: 14
- Issue: 1
- Pages: 452-462
- Citations: 15

Different methodology for image steganography-based data hiding: review paper
- Authors: SU Maheswari, DJ Hemanth
- Journal: Int. J. Information and Communication Technology
- Year: 2015
- Volume: 7
- Issue: 4
- Pages: 521-536
- Citations: 9

Discrete ripplet transform based image steganography system for imaging applications
- Authors: SU Maheswari, DJ Hemanth
- Journal: Int. J. Reasoning-based Intelligent Systems
- Year: 2015
- Volume: 7
- Issue: 1
- Pages: 130-135
- Citations: 2

A hybrid edge detector and ridgelet transform based steganography technique for imaging applications
- Authors: SU Maheswari, DJ Hemanth
- Journal: Defense Science Journal
- Year: 2015
- Volume: 65
- Issue: 3
- Pages: 214-219