SaiTeja Chopparapu | ECE | Best Paper Award

Mr. SaiTeja Chopparapu | ECE | Best Paper Award

Assistant Professor at St. PETER’S Engineering College, India

Summary:

Mr. SaiTeja Chopparapu is an enthusiastic researcher and educator with expertise in electronics and communication engineering. With a solid academic background and hands-on experience in IoT, sensor systems, and image processing, he is committed to fostering innovation and critical thinking in the field. Known for his dedication and leadership skills, he aims to contribute to technological advancements and create an engaging learning environment for his students.

Professional Profile:

šŸ‘©ā€šŸŽ“Education:

Mr. SaiTeja Chopparapu is a dedicated researcher in Electronics and Communication Engineering, currently in the final stages of his Ph.D. at GITAM University, Visakhapatnam, where he submitted his thesis in October 2023. He earned an M.Tech in Sensor System Technology from Vellore Institute of Technology (VIT), Vellore, in 2019 with a CGPA of 8.49, building upon a B.Tech in Electronics and Communication Engineering from Dhanekula Institute of Engineering and Technology, JNTUK, in 2017. His foundational education includes an Intermediate in MPC from Sri Chaitanya Junior College, Kakinada, where he scored 88.4%, and an SSC from Ratnam High School, Dargamitta, with an aggregate of 84.67%.

šŸ¢ Professional Experience:

Mr. Chopparapu is currently an Assistant Professor at St. Peters Engineering College, JNTUH, where he has been teaching since February 2024. His courses include Digital Electronics, IoT Architecture and Protocols, and Image Processing. With a passion for hands-on education, he has served as a lab in-charge for B.Tech students, mentoring them in programming fundamentals and facilitating discussions to deepen their understanding. His research experience includes a 9-month internship at the Research Centre Imarat (RCI), DRDO, where he developed a GUI for a capacitance-to-voltage converter for capacitive-based sensors. He also completed a 30-day internship at Effectronics Pvt. Ltd., where he was involved in testing and analyzing signaling systems. Over his career, Mr. Chopparapu has participated in more than 40 faculty development programs, covering a variety of topics such as MATLAB, Python, IoT, and technical skill enhancement.

Research Interests:

Mr. Chopparapuā€™s research interests are centered on sensor systems, IoT, and embedded systems, with an emphasis on IoT architecture and image processing. His dedication to advancing electronics and communication engineering is evident in his academic pursuits, professional roles, and active involvement in technical conferences. He has also expressed a keen interest in developing automation technologies and vehicle control systems.

Top Noted Publication:

“A Hybrid Learning Framework for Multi-Modal Facial Prediction and Recognition Using Improvised Non-Linear SVM Classifier”

  • Authors: C. SaiTeja, J.B. Seventline
  • Journal: AIP Advances, Vol. 13, Issue 2, 2023
  • Citations: 9
  • Abstract: This study presents a hybrid framework that integrates multi-modal inputs to enhance the accuracy of facial prediction and recognition systems. The framework leverages an improvised non-linear Support Vector Machine (SVM) classifier, optimizing recognition rates through a synergistic use of varied input sources.

“An Efficient Multi-Modal Facial Gesture-Based Ensemble Classification and Reaction to Sound Framework for Large Video Sequences”

  • Authors: S.T. Chopparapu, J.B. Seventline
  • Journal: Engineering, Technology & Applied Science Research, Vol. 13, Issue 4, Pages 11263-11270, 2023
  • Citations: 5
  • Abstract: This paper introduces a multi-modal ensemble classification framework that combines facial gesture recognition with sound response mechanisms, specifically designed for extensive video sequences. The framework enhances real-time interactions, addressing performance demands in complex multimedia environments.

“Object Detection Using MATLAB, Scilab, and Python”

  • Authors: S. Chopparapu, B. Seventline
  • Journal: Technology, Vol. 11, Issue 6, Pages 101-108, 2020
  • Citations: 5
  • Abstract: This publication compares the efficacy of object detection across three platforms: MATLAB, Scilab, and Python. By analyzing detection rates, computational efficiency, and implementation complexity, the study provides insights into the adaptability of these platforms for real-time applications.

“GUI for Object Detection Using Voila Method in MATLAB”

  • Authors: S.T. Chopparapu, D.B. Seventline J
  • Journal: International Journal of Electrical Engineering and Technology, Vol. 11, Issue 4, 2020
  • Citations: 4
  • Abstract: This work introduces a graphical user interface (GUI) for object detection utilizing the Viola-Jones method in MATLAB. The study highlights the GUI’s design features, ease of use, and effectiveness for beginner-level applications in image processing.

“Enhancing Visual Perception in Real-Time: A Deep Reinforcement Learning Approach to Image Quality Improvement”

  • Authors: S.T. Chopparapu, G. Chopparapu, D. Vasagiri
  • Journal: Engineering, Technology & Applied Science Research, Vol. 14, Issue 3, Pages 14725-14731, 2024
  • Citations: 2
  • Abstract: This paper explores the use of deep reinforcement learning techniques for enhancing real-time image quality. The proposed approach aims to improve visual perception in dynamic environments, with potential applications in surveillance, autonomous vehicles, and other fields requiring high-quality image processing.

Conclusion:

Overall, Mr. SaiTeja Chopparapu presents a strong case for the Best Paper Award. His impactful publications, coupled with his practical experience in IoT and image processing, are aligned with the award’s objective to recognize innovative contributions in ECE. Addressing the suggested areas for improvement could help maximize the visibility and impact of his work in the field. With his impressive background and dedication, he is well-positioned as a competitive candidate for this award.

 

 

Fahad Alhashmi Alamer | Conductive Textile | Best Researcher Award

Prof. Fahad Alhashmi Alamer, Conductive Textile, Best Researcher Award

Doctorate at Umm AL-Qura University, Saudi Arabia

Summary:

Prof. Fahad Alhashmi Alamer is a distinguished researcher and academician in the field of materials science and engineering. With a Ph.D. from a prestigious university in the USA and a strong academic background, he has made significant contributions to the development and application of advanced materials, particularly in the areas of flexible conductors, conductive fabrics, and supercapacitor technology.

Throughout his career, Prof. Alamer has held various leadership positions at Umm Al-Qura University (UQU), including Vice Dean roles and Head of the Physics Department. His tenure in academic leadership underscores his commitment to academic development, quality enhancement, and community service within the university.

Professional Profile:

Scopus Profile

Google Scholar Profile

šŸ‘©ā€šŸŽ“Education & Qualification:

Dr. Fahad Alhashmi Alamer has a distinguished academic background, as evidenced by his educational achievements:

  • Ph.D. from the University of [Redacted], USA, conferred in 2013.
  • M.Sc. from Umm Al-Qura University, K.S.A, attained in 2009.
  • B.Sc. from Umm Al-Qura University, K.S.A, obtained in 1999.

Professional Experience:Ā  Ā  Ā  Ā  Ā 

Prof. Fahad Alhashmi Alamer has held several prominent academic leadership positions at Umm Al-Qura University (UQU). Notably, he served as the Vice Dean of the College of Applied Sciences for Development and Quality from May 24, 2019, to January 24, 2021, where he played a key role in enhancing academic standards and promoting quality initiatives. Additionally, he assumed the role of Head of the Physics Department at UQU from June 30, 2019, to December 23, 2019, demonstrating his commitment to academic excellence in the field of physics. Earlier in his career, Prof. Alamer served as the Vice Dean for Academic Development and Community Service at UQU from June 14, 2017, to May 23, 2019, and from July 6, 2015, to June 13, 2017, where he spearheaded various initiatives aimed at fostering academic growth and community engagement. Furthermore, he held the position of Head of the Physics Department at UQU from November 27, 2014, to November 11, 2015, and served as the Vice Dean of the Common First Year for Branches at UQU from June 17, 2014, to December 11, 2014. Throughout these roles, Prof. Alamer demonstrated strong leadership, dedication to academic development, and a commitment to serving the university community.

Ā Research Interest:

Dr. Fahad Alhashmi Alamer’s research interests span across several key areas within materials science and engineering. Primarily, he focuses on the electro-optical properties of electrochromic devices utilizing conjugated polymers. Additionally, he is involved in the preparation and characterization of conductive cotton fabrics employing conductive polymers. Furthermore, his work extends to the fabrication and characterization of conductive cotton fabrics using carbon-based materials like graphene, graphite, and carbon nanotubes. Lastly, Dr. Alamer investigates the impact of nanoparticles on the electrical properties of conductive fabrics. Through his research endeavors, he contributes to advancing knowledge and innovation in these critical fields.

Publication Top Noted:

Highly Conductive Flexible Conductor Based on PEDOT:PSS/MWCNTs Nano Composite

  • Authors: F. Alhashmi Alamer
  • Journal: Crystals
  • Year: 2023
  • Citation count: 1

The Influence of Titanium Oxide Nanoparticles and UV Radiation on the Electrical Properties of PEDOT:PSS-Coated Cotton Fabrics

  • Authors: F. Alhashmi Alamer, R.F. Beyari
  • Journal: Materials
  • Year: 2023
  • Volume: 16
  • Citation count: 1

Thermo-Electric Properties of Conductive Cotton Fabrics: Synergistic Effects of Graphene Doping Ratio and Amount

  • Authors: F.A. Alamer, K. Althagafy, H. Alghamdi, A. Saeedi, S.A. Ahmed
  • Journal: Journal of Inorganic and Organometallic Polymers and Materials
  • Year: 2023

Revolutionizing capacitor technology: conductive cotton fabrics based graphite as supercapacitor capacitors

  • Authors: F.A. Alamer, E. AlQwaizani, K. Althagafy
  • Journal: Carbon Letters
  • Year: 2023

Fabrication of Conductive Fabrics Based on SWCNTs, MWCNTs and Graphene and Their Applications: A Review

  • Authors: F. Alhashmi Alamer, G.A. Almalki
  • Journal: Polymers
  • Year: 2022
  • Volume: 14
  • Citation count: 7