SaiTeja Chopparapu | ECE | Best Paper Award

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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:

👩‍🎓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%.

🏢 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. Chopparapu’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.

 

 

Shreyam Chatterjee | Sustainable Energy Research | Best Researcher Award

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Dr. Shreyam Chatterjee | Sustainable Energy Research | Best Researcher Award

Assistant Professor at OSAKA UNIVERSITY / SANKEN, Japan
Summary:

Dr. Shreyam Chatterjee is a Specially Appointed Assistant Professor in the Department of Soft Nanomaterials at ISIR, Osaka University. He received his Ph.D. in Chemistry from the Indian Association for the Cultivation of Science (IACS), Kolkata, under the guidance of Prof. Arun Kumar Nandi. Dr. Chatterjee’s research interests include the development of novel π-conjugated systems for organic semiconductors used in organic electronics, such as organic solar cells (OSCs) and organic field-effect transistors (OFETs). His contributions to the field of organic photovoltaics have resulted in multiple patents and international recognition. He has secured research funding from prestigious institutions like the University College London (UCL) and Osaka University, highlighting his leadership in developing greener organic photovoltaics. Dr. Chatterjee has also been featured in several prominent publications, including the Journal of Materials Chemistry A and Nikkan Kogyo Shimbun.

Professional Profile:

👩‍🎓Education:

  • Ph.D. in Chemistry (2008-2013): Indian Association for the Cultivation of Science (IACS), Jadavpur, Kolkata, India. Supervised by Prof. Arun Kumar Nandi.
  • B.Ed. (Bachelor of Education) (2007-2008): The University of Burdwan, First Class.
  • M.Sc. in Chemistry (2005-2007): The University of Burdwan, First Class.
  • B.Sc. in Chemistry (2002-2005): Burdwan Raj College, First Class.
    Awarded Memorial Prize for highest marks in practicals.

🏢 Professional Experience:

  • Specially Appointed Assistant Professor, Department of Soft Nanomaterials, ISIR, Osaka University (2021–Present).
    • Research collaboration with Prof. Yutaka Ie, focusing on organic semiconductors for applications in organic electronics.
  • Specially Appointed Assistant Professor, ISIR, Osaka University (2020–2021).
    • Selected from Osaka University for continuation in research related to organic photovoltaics.
  • Specially Appointed Researcher, ISIR, Osaka University (2018–2020).
    • Worked under Prof. Yoshito Tobe on developing π-conjugated systems.
  • Specially Appointed Assistant Professor, ISIR, Osaka University (2017–2018).
    • Research on organic semiconductors with Prof. Yoshio Aso.
  • Specially Appointed Researcher, ISIR, Osaka University (2013–2017).
    • Continued research on developing novel organic acceptor materials with Prof. Yoshio Aso.

Research Interests:

Dr. Shreyam Chatterjee’s research focuses on the development of novel π-conjugated systems for use in organic semiconductors in organic electronics, particularly in organic solar cells (OSCs) and organic field-effect transistors (OFETs). His work emphasizes the creation of large-area processable, lightweight, and flexible organic electronic devices. A key aspect of his research involves developing organic acceptor materials compatible with cost-effective, bulk-available donor polymer poly(3-hexyl thiophene) (P3HT). His innovations have led to power conversion efficiencies of around 6.00% and the production of a 1.00-meter OPV-solar module via a roll-to-roll process for practical applications. His research results have been published in highly reputed international journals, and he has produced multiple patents related to organic semiconductors and solar cells.

Selected Achievements and Honors:

  • 2022: Awarded the University College London (UCL)-Osaka University (OU) Strategic Partner Research Fund for “Developing and understanding new materials for even greener organic photovoltaics” (£10,000).
  • 2021: Awarded the UCL-OU Strategic Partner Research Fund for “Development of Novel Materials for Green Organic Photovoltaics” (£10,000).
  • 2021: Featured as an Emerging Investigator in the Journal of Materials Chemistry A.
  • 2021: Guest Editor for the Frontiers in Materials special issue on Innovators in Energy Materials.
  • 2008: Qualified for the National Eligibility Test (NET) (CSIR) and Graduate Aptitude Test in Engineering (GATE).

Author Metrics:

  • Research Articles: Published in high-impact journals such as Nature Communications, Journal of Materials Chemistry A, and others.
  • Citations: His work has been widely cited by the scientific community, reflecting the impact of his contributions to organic electronics and photovoltaics.
  • Patents: Dr. Chatterjee has filed multiple patents for novel organic semiconductor materials and processes

Top Noted Publication:

“Changing the morphology of polyaniline from a nanotube to a flat rectangular nanopipe by polymerizing in the presence of amino-functionalized reduced graphene oxide and its…”

  • Authors: S. Chatterjee, R.K. Layek, A.K. Nandi
  • Published in: Carbon, Vol. 52, Pages 509-519, 2013
  • Citations: 81
  • Summary: This study focuses on the morphological transformation of polyaniline (PANI) from nanotubes to flat rectangular nanopipes by polymerizing in the presence of amino-functionalized reduced graphene oxide. The work highlights the impact of graphene oxide on the morphological and conductive properties of polyaniline, which could have implications for its use in advanced materials and electronics.

“Nonfullerene acceptors for P3HT-based organic solar cells”

  • Authors: S. Chatterjee, S. Jinnai, Y. Ie
  • Published in: Journal of Materials Chemistry A, Vol. 9, Issue 35, Pages 18857-18886, 2021
  • Citations: 63
  • Summary: This paper reviews the use of nonfullerene acceptors (NFAs) in P3HT-based organic solar cells, providing an overview of the structural design, synthesis, and performance of these acceptors. It emphasizes the potential of NFAs to improve the efficiency of polymer-based solar cells, which are pivotal for the development of cost-effective and large-area photovoltaic devices.

“Naphtho[1,2‐c:5,6‐c′]bis[1,2,5]thiadiazole‐Containing π‐Conjugated Compound: Nonfullerene Electron Acceptor for Organic Photovoltaics”

  • Authors: S. Chatterjee, Y. Ie, M. Karakawa, Y. Aso
  • Published in: Advanced Functional Materials, Vol. 26, Issue 8, Pages 1161-1168, 2016
  • Citations: 57
  • Summary: This research introduces a novel naphtho[1,2‐c:5,6‐c′]bis[1,2,5]thiadiazole‐based nonfullerene electron acceptor for organic photovoltaics (OPVs). The study investigates the material’s electronic properties and its potential for improving the efficiency and stability of OPVs, highlighting its applicability for next-generation solar energy solutions.

“Nanochannel morphology of polypyrrole–ZnO nanocomposites towards dye sensitized solar cell application”

  • Authors: S. Chatterjee, A. Shit, A.K. Nandi
  • Published in: Journal of Materials Chemistry A, Vol. 1, Issue 39, Pages 12302-12309, 2013
  • Citations: 43
  • Summary: This study explores the creation of polypyrrole–ZnO nanocomposites with nanochannel morphology, which are applied in dye-sensitized solar cells (DSSCs). The work examines how the unique morphology of these nanocomposites improves their photovoltaic performance and offers insights into the design of efficient DSSCs.

“Dye-sensitized solar cell from polyaniline–ZnS nanotubes and its characterization through impedance spectroscopy”

  • Authors: A. Shit, S. Chatterjee, A.K. Nandi
  • Published in: Physical Chemistry Chemical Physics, Vol. 16, Issue 37, Pages 20079-20088, 2014
  • Citations: 39
  • Summary: This paper details the fabrication of dye-sensitized solar cells using polyaniline–ZnS nanotubes and investigates their performance through impedance spectroscopy. The research discusses the charge transport and recombination mechanisms within the solar cells, shedding light on improving efficiency in solar energy applications.

Conclusion:

Dr. Shreyam Chatterjee is a highly suitable candidate for the Best Researcher Award, given his exceptional contributions to sustainable energy research through innovative organic electronics. His impactful research, demonstrated through numerous high-impact publications, patents, and international collaborations, positions him as a leader in the field. By further expanding the interdisciplinary reach of his work and increasing his mentorship activities, Dr. Chatterjee can continue to elevate his profile as a pioneering researcher in sustainable energy solutions.

 

Daniel Mutia Mwendwa | Energy Systems | Best Researcher Award

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Mr. Daniel Mutia Mwendwa | Energy Systems | Best Researcher Award

Daniel Mutia Mwendwa at University of Oxford, United Kingdom

Summary:

Daniel Mutia Mwendwa is a Rhodes Scholar currently pursuing a DPhil in Engineering Science at the University of Oxford, where his research focuses on geospatial analysis of solar-powered irrigation systems in Sub-Saharan Africa. He holds an MSc in Energy Systems (Distinction) from Oxford and a BEng (First Class Honours) in Electronics and Electrical Engineering from the University of Edinburgh. Co-founder of BuniTek, he is dedicated to introducing technology to African youth. Daniel also works as a Research Assistant in the Climate Compatible Growth Programme, contributing to energy planning in Kenya and global green hydrogen initiatives.

Professional Profile:

👩‍🎓Education:

University of Oxford, UK (2023 – Present)
DPhil in Engineering Science (Rhodes Scholar)

  • Thesis Topic: Geospatial analysis of solar-powered irrigation in Sub-Saharan Africa, focusing on the water, energy, and food nexus.

University of Oxford, UK (2021 – 2022)
MSc in Energy Systems (Distinction, Rhodes Scholar)

  • Thesis: Developed a geospatial methodology for sizing and costing solar-powered irrigation systems for different crops.

University of Edinburgh, UK (2017 – 2021)
BEng (Hons) in Electronics and Electrical Engineering (First Class Honours, MasterCard Foundation Scholar)

  • Thesis: Developed an optimized hybrid energy storage system (HESS) combining battery storage, hydrogen fuel cells, and supercapacitors using MATLAB Simulink.

🏢 Professional Experience:

Rhodes Trust, Oxford, UK (Mar 2024 – Present)
Rhodes Scholarship Ambassador for East Africa

  • Engages with universities across East Africa to introduce students to the Rhodes Scholarship and supports their application process.

University of Oxford, Oxford, UK (Mar 2022 – Present)
Research Assistant, Climate Compatible Growth Programme

  • Developed least-cost electrification pathways for Kenyan counties using the Open-Source Spatial Electrification Tool (OnSSET). Conducted capacity-building workshops on energy planning models like OSeMOSYS and IRENA’s Flextool. Also involved in geospatial modeling of green hydrogen production potential globally.

Loughborough University, Nairobi, Kenya (Nov 2022 – Present)
Research Consultant

  • Designed off-grid electrification solutions for poultry farming and health facilities. Authored academic papers on energy planning and developed funding proposals.

BuniTek, Nairobi, Kenya (Jun 2020 – Present)
Co-Founder

  • Co-founded BuniTek, an initiative that introduces technology concepts to African high school students in an engaging and hands-on manner. Led a team of 15 volunteers to develop 14 new courses.

Research Interests:

Daniel Mutia Mwendwa’s research interests lie in renewable energy systems, particularly in optimizing solar-powered irrigation and hybrid energy storage solutions. He is passionate about integrating geospatial modeling and energy planning to address sustainability challenges in Sub-Saharan Africa. His work also focuses on green hydrogen production, off-grid electrification, and the energy-water-food nexus.

Author Metrics:

Mwendwa has co-authored several research papers and reports, including:

  1. “Spatial Data Starter Kit for OnSSET Energy Planning in Kitui County, Kenya” – Published in Data in Brief (2022).
  2. “Mapping the Energy Planning Ecosystem in Kenya” – Published on GOV.UK (2023).
  3. “County Energy Planning Data Flows in Kenya: Practitioner Perspectives” – Published on GOV.UK (2023).

Top Noted Publication:

GIS-Based Method for Assessing the Viability of Solar-Powered Irrigation

  • Journal: Applied Energy
  • Publication Date: January 2025
  • DOI: 10.1016/j.apenergy.2024.124461
  • Contributors: Daniel Mutia Mwendwa, Alycia Leonard, Stephanie Hirmer
  • Summary: This paper presents a Geographic Information System (GIS)-based methodology for evaluating the feasibility of solar-powered irrigation systems. The method integrates spatial data with factors such as water availability, crop water demand, and solar energy potential to determine where solar-powered irrigation systems can be most effectively deployed in Sub-Saharan Africa.

Spatial Data Starter Kit for OnSSET Energy Planning in Kitui County, Kenya

  • Journal: Data in Brief
  • Publication Date: December 2022
  • DOI: 10.1016/j.dib.2022.108691
  • Contributors: Daniel Mutia Mwendwa, Jeffrey Tchouambe, Emily Hu, Micaela Flores Lanza, Andrea Babic Brener, Gyubin Hwang, Layla Khanfar, Alycia Leonard, Stephanie Hirmer, Malcolm McCulloch
  • Summary: This article provides a comprehensive spatial data kit designed for energy planning in Kitui County, Kenya. It is part of the Open-Source Spatial Electrification Tool (OnSSET) framework, which assists planners in developing least-cost electrification pathways. The dataset includes geographic and energy-related data to facilitate more efficient and accurate energy planning.

Minseok Ryu | Power Systems Computation | Best Researcher Award

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Assist Prof Dr. Minseok Ryu, Power Systems Computation, Best Researcher Award

Assistant Professor at Arizona State University, United States

Summary:

Dr. Minseok Ryu is an Assistant Professor at the School of Computing and Augmented Intelligence at Arizona State University. He completed his Ph.D. in Industrial and Operations Engineering from the University of Michigan and holds a master’s and bachelor’s degree in Aerospace Engineering from KAIST. His postdoctoral research at Argonne National Laboratory has been recognized by the Department of Energy for its contributions to advanced scientific computing. Dr. Ryu’s research interests lie in developing scalable and privacy-preserving algorithms for complex systems, with a strong emphasis on interdisciplinary collaboration. He has received numerous accolades, including the Alliance Fellowship from Mayo Clinic and ASU and highlighted research recognitions from the DOE-ASCR.

Professional Profile:

👩‍🎓Education:

Ph.D. in Industrial and Operations Engineering, University of Michigan, Ann Arbor, MI; May 2020

M.S. in Aerospace Engineering, KAIST, Daejeon, Korea; February 2014

B.S. in Aerospace Engineering, KAIST, Daejeon, Korea; February 2012

🏢 Professional Experience:

  • Assistant Professor, School of Computing and Augmented Intelligence, Arizona State University, Tempe, AZ; August 2023 – Present
    • Responsibilities: Leading research initiatives, teaching, and mentoring students. Participating in committee roles and overseeing various academic and administrative duties.
  • Postdoctoral Appointee, Mathematics and Computer Science Division, Argonne National Laboratory, Lemont, IL; August 2020 – July 2023
    • Responsibilities: Conducting advanced research in applied mathematics, computer science, and developing scalable algorithms for various applications.
  • Research Assistant, Applied Mathematics and Plasma Physics Group, Los Alamos National Laboratory, Los Alamos, NM; May 2019 – August 2019
    • Responsibilities: Engaged in research projects focusing on applied mathematics and plasma physics.
  • Post Baccalaureate Research Fellow, Kellogg School of Management, Northwestern University, Evanston, IL; November 2014 – April 2015
    • Responsibilities: Conducted research in operations management and contributed to academic publications.

Honors & Award:

2024 Alliance Fellow, Mayo Clinic and ASU Alliance for Health Care

Highlighted Research, Department of Energy, Advanced Scientific Computing Research (DOE-ASCR) in 2022 and 2023

Rackham Graduate Student Research Grant, University of Michigan, 2016

MICDE Fellowship, University of Michigan, 2015

National Science Foundation Student Award, INFORMS Computing Society, 2015

National Scholarship, Government of Korea, 2010-2013

Department Honor, KAIST, 2010

Best Technical Poster Award, KAIST, 2010

Research Interests:

Dr. Minseok Ryu’s research focuses on the development of scalable algorithms and machine learning models for applications in industrial engineering, operations research, and augmented intelligence. His work encompasses privacy-preserving federated learning, optimization of power systems, and computational methods for enhancing system resilience against extreme threats. He is particularly interested in interdisciplinary collaborations that integrate advanced computational techniques with practical applications in engineering and healthcare.

Top Noted Publication:

Data-Driven Distributionally Robust Appointment Scheduling over Wasserstein Balls

  • Authors: R. Jiang, M. Ryu, G. Xu
  • Published in: arXiv preprint arXiv:1907.03219, 2019
  • Citations: 28

APPFL: Open-Source Software Framework for Privacy-Preserving Federated Learning

  • Authors: M. Ryu, Y. Kim, K. Kim, R. K. Madduri
  • Published in: IEEE International Parallel and Distributed Processing Symposium Workshops, 2022
  • Citations: 19

A Privacy-Preserving Distributed Control of Optimal Power Flow

  • Authors: M. Ryu, K. Kim
  • Published in: IEEE Transactions on Power Systems, 2022, 37(3), 2042-2051
  • Citations: 18

An Extended Formulation of the Convex Recoloring Problem on a Tree

  • Authors: S. Chopra, B. Filipecki, K. Lee, M. Ryu, S. Shim, M. Van Vyve
  • Published in: Mathematical Programming, 2017, 165, 529-548
  • Citations: 18

Nurse Staffing under Absenteeism: A Distributionally Robust Optimization Approach

  • Authors: M. Ryu, R. Jiang
  • Published in: arXiv preprint arXiv:1909.09875, 2019
  • Citations: 14