Jonghoek Kim- Target tracking Award – Best Researcher Award

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Jonghoek Kim- Target tracking Award – Best Researcher Award

Prof. Jonghoek Kim distinguished academic and researcher in the field Target Tracking. He is currently engaged in a research project titled “Target tracking in Non-Line-Of-Sight environments assisted by the maximum range information of target signal,” funded by NRF Korea Research Foundation, spanning from September 1, 2022, to February 28, 2027. His research interests primarily revolve around robot path planning, target tracking and data association, multi-agent systems, optimal estimation, optimal control, and sensor networks.

🌐 Professional Profiles

Educations📚📚📚

He earned his Ph.D. and M.S. degrees in Electrical and Computer Engineering from the Georgia Institute of Technology, Georgia, USA, graduating in the spring of 2011 and 2009, respectively. His Ph.D. thesis focused on “Simultaneous Cooperative Exploration and Networking” under the guidance of advisors Fumin Zhang, Ph.D., and Magnus Egerstedt, Ph.D. Prior to his doctoral studies, he completed his undergraduate education at Yonsei University in Seoul, South Korea, where he obtained a B.S. in Mechanic and Electric Engineering in May 2006.

 

Research Interests

Robot path planning, Target tracking and data association, Multi-agent systems, Optimal estimation, Optimal control, Sensor network.

Patents

1. C. Ryu, Jonghoek Kim, M. Kim, C. Cho, and J. Kim. Apparatus for planing, executing underwater object search and method thereof, registration number: 1020342390000, 2019.
2. Jonghoek Kim, R. Kwon, D. Kim, and K. Lee. Target tracking control device. registration number: 1020538630000, 2019.
3. Jonghoek Kim, J. Ahn, and R. Kwon. The method of exploration and map building with multi-robot. registration number: 1019681270000, 2019.
4. Jonghoek Kim, T. Suh, and J. Ryu. A formation control method of multiple torpedos to deceive sensors of the target and control apparatus thereof, registration number: 1016880640000, 2016.
5. Jonghoek Kim, T. Suh, and J. Ryu. A method to estimate the shape of towed array sonar and an apparatus thereof, registration number: 1016850840000, 2016.
6. Jonghoek Kim, T. Suh, E. Kim, and S. Cho. Target Motion Analysis Method Using Geometric Constraints, registration number: 1013922210000, 2014.
7. Jonghoek Kim, T. Suh, E. Kim, and S. Cho. Target Motion Analysis Method Using Target Classification and Ray Tracing of underwater Sound Energy, registration
number: 1014808340000, 2013.
8. Jonghoek Kim, T. Suh, E. Kim, and S. Cho. Ownship Motion Control Method for Enhancement of Target Motion Analysis Performance, registration number: 1015354760000, 2015.
9. Jonghoek Kim, T. Suh, E. Kim, and S. Cho. A Target Motion Analysis Apparatus and Method for Maneuvering Target, registration number: 1014446570000, 2014.
10. Jonghoek Kim, T. Suh, E. Kim, and S. Cho. Torpedo Control Considering Ray Tracing of Underwater Sound Energy, registration number: 1014990130000, 2015.

Award

He has received several notable awards and honors throughout his career. As part of the Purdue-Hongik team, he achieved recognition as one of the finalist teams in the Space Robotics Challenges Phase 2, a prestigious accomplishment within the field of space robotics. Additionally, he was honored with the “Outstanding Reviewers of 2020″ award from the IEEE Transactions on Instrumentation and Measurement, acknowledging his exceptional service as a reviewer. Furthermore, he received an award from the Defense Acquisition Program Administration (DAPA) in 2017, highlighting his contributions and achievements in his field. His academic excellence was also recognized during his undergraduate studies, where he earned the titles of Highest Honors Student in the Spring semester of 2003 and High Honors Student in the Fall semester of the same year. Moreover, he was awarded a half scholarship in 2003, demonstrating his academic prowess and dedication to his studies.

Science society Activities

He is actively involved in various science society activities, holding esteemed editorial roles in leading academic journals. Serving as a Special Issue Editor for Applied Sciences at MDPI, he oversees the “Advances in Robot Path Planning” special issue, contributing to the advancement of knowledge in this field. Additionally, he acts as a Special Issue Editor for Sensors at MDPI, directing the “Object Detection and Identification in Any Medium” special issue, which explores cutting-edge developments in sensor technology. As a Topic Editor for Frontiers, he leads discussions on “Coverage Control of Networked Robots,” contributing to the forefront of research in this area. Furthermore, he serves as an Associate Editor for the International Journal of Advanced Robotic Systems, where he plays a pivotal role in shaping the content and direction of the journal’s publications. Through his dedication to editorial responsibilities, he actively promotes the dissemination of innovative research and fosters collaboration within the scientific community.

Research Experience

e has amassed extensive research experience spanning various prestigious institutions and roles. Currently affiliated with Sejong University in South Korea since March 2023, he teaches classes in Robotics and C Programming, contributing to the education and development of future engineers. Prior to this, he was associated with Sungkyunkwan University from March 2022 to February 2023, where he taught courses including Signal and Systems, Probability and Statistics, Circuit Theory, and Capstone Design for Autonomous Vehicles. His tenure at Hongik University from March 2018 to February 2022 involved teaching a diverse range of subjects such as Digital Engineering, Signal and Systems, C Programming, and Control Engineering, among others.

Before transitioning into teaching roles, he worked as a Research Assistant at the Agency for Defense Development in South Korea from June 2011 to February 2018, where he was engaged in Ph.D. and Masters level coursework and research projects. His responsibilities included guiding undergraduate research teams, providing consultation for teams participating in international competitions related to remotely operated vehicles (ROV) and autonomous surface vehicles (ASV), and delivering lectures on specialized topics like LabVIEW Vision module.

Additionally, he served as a Teaching Assistant from September 2007 to August 2008 at various institutions, including classes such as Introduction to Systems and Control, Linear System and Control, and Stochastic Control. His duties encompassed conducting office hours, preparing homework solutions, conducting review sessions, and grading assignments, contributing to the academic success of undergraduate and graduate students. Through his multifaceted roles, he has demonstrated a strong commitment to education, research, and mentorship in the field of engineering.

Books

  • Jonghoek Kim, F. Zhang, and M. Egerstedt. Simultaneous Cooperative Exploration
    and Networking, ISBN:978-3-639-51588-6, Scholars’ Press, 2013.
  • Jonghoek Kim. Cooperative Exploration and Power-Efficient Network Building
    without Global Localization, Horizons in Computer Science Research. Volume 15,
    Nova Science publishers, 2017.
  • Jonghoek Kim. Capturing Intruders on a Multi-Dimensional Topological Map,
    Computer games, children and the internet: technology, educational uses and
    effects on cognitive development, Nova Science publishers, 2014.

 

📝🔬Publications📝🔬

Smrutiranjan Nayak – Network properties Award – Best Researcher Award

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Dr. Smrutiranjan Nayak – Network properties Award – Best Researcher Award🏆

Dr. Smrutiranjan Nayak  distinguished academic and researcher in the field Network Properties. He has accumulated fifteen years of comprehensive experience encompassing teaching, research, and administrative duties. His employment history reflects his commitment to the field of Electrical Engineering. Commencing his career as a Lecturer at the Department of Electrical Engineering, Orissa Institute of Engineering and Technology (OIET), Dhenkanal, Odisha, India, he swiftly transitioned to the same role at Orissa Engineering College (OEC), Bhubaneswar, Odisha, India. During his tenure at OEC, he diligently served as a Lecturer for three years and twenty-one days, before progressing to the position of Assistant Professor in the same department. Demonstrating his dedication, he continued his academic journey at OEC, where he served for five years, ten months, and eight days. His expertise led him to his current position as an Assistant Professor at the Department of Electrical Engineering, Indira Gandhi Institute of Technology (IGIT), Sarang, Dhenkanal, Odisha, India, where he has been contributing for the past two years and eight months. His academic prowess is further evident through his research work, notably his Ph.D. thesis on “Frequency Regulation of Interconnected Power System with Different Controllers” and his M.Tech thesis on “Real-coded Genetic Algorithm for Robust Design of UPFC Supplementary Damping Controller.” Throughout his professional journey, he has consistently exhibited a passion for education and a commitment to advancing the field of Electrical Engineering through both teaching and research endeavors.

🌐 Professional Profiles

Educations📚📚📚

He completed his higher secondary education from the Board of Secondary Education, Odisha, India in 1998, securing a first division with 68% marks. Subsequently, he pursued a Diploma in Electrical Engineering from the State Council of Technical Education & Vocational Training, Odisha, India, graduating with a first division and 71% marks in 2005. Building upon this foundation, he earned his Bachelor of Technology degree in Electrical Engineering from KIIT (Deemed to be University), Odisha, India in 2009, achieving a commendable CGPA of 7.45 and securing a first division. Continuing his academic journey, he pursued a Master of Technology in Electrical Engineering with a specialization in Power Electronics & Drives from the same institution, graduating with an impressive CGPA of 8.00 and again securing a first division in 2012. His dedication to academic excellence led him to pursue a Ph.D. in Electrical Engineering, specializing in Power System Engineering, from SOA (Deemed to be University), Odisha, India. He successfully defended his thesis and was awarded his Ph.D. degree in 2022, attaining a CGPA of 7.37 and maintaining his consistent record of securing a first division throughout his academic career.

📚Book  Chapters📚:
  1. Nayak, S., Kar, S. and Dash, S.S., “A Hybrid Search Group Algorithm and Pattern Search Optimized PIDA Controller for Automatic Generation Control of Interconnected Power System”, In Intelligent Computing and Applications (pp. 309-322),2021, Springer, Singapore.
  2. Nayak, S., Kar, S.K., Dash, S.S., Das, M.C., Swain, S.C., “PIDA Regulator for Frequency Limitation of Conventional Power Systems”, Intelligent Systems. Lecture Notes in Networks and Systems, vol 431, pp-11-17,2022, Springer,
  3. Nayak, S., Kar, S.K., Dash, S.S., Das, M.C., “Synchronization and Its Use in Communication Network with Frequency Control”, Intelligent Systems, Lecture Notes in Networks and Systems, vol 431, pp-19-29, 2022, Springer,
  4. Nayak, S., Kar, S.K., Dash, S.S., “Application of Different Control Techniques of Multi-area Power Systems”, In International Conference on Metaheuristics in Software Engineering and its Application (pp. 308-314),2022, Springer, Cham.
  5. Nayak, S., Dash, S.S., Kar, S.K., Sahoo, A.K. and Sahoo, A.K., “Optimized Fuzzy PI Regulator for Frequency Regulation of Distributed Power System”, In International Conference on Machine Learning, IoT and Big Data (pp. 23-28). Singapore: Springer Nature Singapore,2023.

International Conferences:

  1. Nayak, S., Kar, S.K. and Dash, S.S., “Performance Comparison of the hSGA-PS procedure with PIDA regulator in AGC of Power System”,1st Odisha International Conference on Electrical Power Engineering, Communication and Computing Technology (ODICON) (pp. 1-4), 2021, IEEE.
  2. Nayak, S., Dash, S.S., Kar, S.K., “ Frequency regulation of hybrid distributed power systems integrated with renewable sources by optimized type-2 fuzzy PID controller”, 9th International Conference on Smart Grid, icsmart-Grid, 2021, 259–263, IEEE.
  3. Nayak, S., Kar, S.K., and Dash, S.S., “Change Detection Filter Technique of HVDC Transmission Link Fed by a Wind Farm,” 4th International Conference on Energy, Power, and Environment (ICEPE), 2022, pp. 1-6, IEEE.
  4. Nayak, S., Kar, S.K., and Dash, S.S., “Optimized T2FFOPID Regulator for Interconnected Power Grid,” International Conference on Intelligent Controller and Computing for Smart Power (ICICCSP), 2022, pp. 1-4, IEEE.  Houkan, A., Sahoo A.K., and Nayak, S., “Industry 5.0 and Sustainable Development in the Developing World,” IEEE 3rd International Conference on Sustainable Energy and Future Electric Transportation (SEFET), Bhubaneswar, India, 2023, pp. 1-6, 2023, doi: 10.1109/SeFeT57834.2023.10245935

Seminars

1)Attended REDHAT Training program at KIIT UNIVERSITY during summer vacation from 12/05/08 to 11/06/08 (30 days), Organized by KIIT UNIVERSITY, Bhubaneswar.

2) Attended Awareness programme on “SAFETY & OCCUPATIONAL HEALTH ‘‘held on 26th & 27th July ,2008, at KIIT UNIVERSITY, campus-7, Bhubaneswar, Odisha.

3)  Participated in the ” Indian Society for Technical Education” student chapter –school of Technology, KIIT UNIVERSITY, Bhubaneswar on 29th July 2008 at Conference Hall, campus-3.

4) Attended the power training center (OPTCL), chandaka, for Practical training on ”Transmission & Distribution system ”from 18.06.2008 to 17.07.2008 (30 days).

 

📝🔬Publications📝🔬

Network Science and Graph Theory

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Introduction of Network Science and Graph Theory

Network Science and Graph Theory are dynamic interdisciplinary fields that have gained immense significance in various domains, from social networks to biology and transportation systems. These areas of study are concerned with understanding the structure, behavior, and properties of complex networks, where entities are connected by edges, leading to valuable insights into system dynamics,  connectivity patterns, and emergent phenomena.

Social Network Analysis:

This subfield focuses on modeling  and analyzing the structure of social relationships, shedding light on information diffusion, community detection, and the dynamics of influence in online and offline social networks.

Epidemiological Network Modeling:

Network science plays a crucial role in studying the spread of diseases. Researchers use graph theory to model disease transmission, identify influential nodes, and devise effective strategies for disease containment.

Transportation Network Optimization:

Examining the structure and flow of transportation networks can lead to  more efficient traffic management, route planning, and resource allocation. Graph theory helps in understanding network resilience and congestion mitigation.

Biological Network Analysis:

In the realm of biology, researchers use network science ,to study interactions among genes, proteins, and other biomolecules. This approach helps in uncovering essential cellular processes, such as signal transduction and metabolic pathways.

Information and Communication Networks:

This subtopic explores the design and analysis of communication networks, including the internet and wireless networks. Network science assists in enhancing network efficiency, security, and scalability for data transmission.

These subtopics exemplify the broad applicability of Network Science and Graph Theory in various domains, where the analysis of complex networks provides valuable insights, fosters innovation, and informs decision-making processes.

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