Tag: Wireless Networks

Chaudhuri Manoj Kumar Swain | Wireless Communications | Best Researcher Award

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Dr. Chaudhuri Manoj Kumar Swain | Wireless Communications | Best Researcher Award

Assistant Professor, Anurag University, India

An accomplished academician and researcher, Dr. Chaudhuri Manoj Kumar Swainis currently an Assistant Professor in the Department of Electronics and Communication Engineering (ECE) at Anurag University, Hyderabad. With nearly six years of teaching experience under BPUT University and over six years of research experience as a Ph.D. scholar at NIT Rourkela, Dr. Chaudhuri Manoj Kumar Swain has developed expertise in wireless communications, 5G/6G technologies, and signal processing. He has published extensively in various esteemed journals and conferences, contributing significantly to the fields of wireless network optimization and physical layer design. Dr. Chaudhuri Manoj Kumar Swain is passionate about advancing technical education through cutting-edge research and innovative teaching methods.

Profile

Google Scholar

Education (150 words)

Ph.D. in Signal Processing and Wireless Communications (2020) National Institute of Technology (NIT), Rourkela, Odisha, India CGPA: 8.63 M.Tech in Communication Systems Engineering (2012) Biju Patnaik University of Technology (BPUT), Odisha, India CGPA: 8.62 B.E. in Electronics & Telecommunication Engineering (2005) Biju Patnaik University of Technology (BPUT), Odisha, India

Experience 

Assistant Professor (Dec 2020–Present): Department of ECE, Anurag University, Hyderabad, Telangana. Roles: R&D Coordinator, Board of Studies Member, Core Team of AnuragSAT Project. Ph.D. Research Scholar (2014–2020): National Institute of Technology (NIT), Rourkela, Odisha. Specialization: Wireless communications, signal processing, and 5G networks. Senior Lecturer (2008–2014): Koustuv Institute of Self Domain (KISD), BPUT, Odisha. esponsibilities: Teaching and mentoring in ECE, focusing on wireless sensor networks and communication engineering. Faculty (2005–2007): Institute of Information Studies (IIS), Bhubaneswar, Odisha. Focus: Embedded systems, microcontrollers, and digital electronics.

Awards and Honors

R&D Coordinator, ECE Department (Anurag University): Spearheaded multiple research projects in wireless communications.Board of Studies Member (Anurag University): Instrumental in curriculum development and academic innovation.Core Team Member (AnuragSAT Project): Contributed to the development of Anurag University’s satellite project.Ph.D. Excellence Award (NIT Rourkela): Recognized for research contributions in signal processing and wireless communications.Best Paper Awards at various national and international conferences for publications on 5G network optimization.Teaching Excellence Award from BPUT for outstanding contributions to technical education and mentoring.Merit Scholarship during M.Tech and Ph.D. for academic excellence.

Research Focus 

5G/6G Wireless Networks: Research on advanced wireless technologies for next-gen communication.Tera Hertz Communications: Focused on harnessing THz frequency bands for ultra-fast data transfer.Cell-Free Massive MIMO: Optimizing large-scale multiple-input multiple-output systems to improve network efficiency.Physical Layer Design for 5G/6G: Development of innovative signal processing techniques to enhance wireless communication.Cooperative Communications: Investigating multi-device cooperation to boost wireless network performance.Wireless Network Optimization: Planning and deploying wireless networks to achieve better coverage and data throughput.Machine Learning in Wireless Networks: Application of AI and ML algorithms for optimizing network operations and resource allocation.

Conclusion

The candidate possesses an impressive combination of teaching experience, technical expertise, and research contributions in a highly relevant and evolving field—wireless communications. Their strengths in 5G/6G technology, machine learning applications, and signal processing position them as a strong contender for the Best Researcher Award. However, focusing on increasing the visibility of their work through high-impact publications, international collaborations, and patentable innovations could further solidify their candidacy. Overall, they have the potential to significantly contribute to advancements in wireless communications and related fields, making them a highly suitable candidate for the award.

Publication Top Notes

Effects of threshold-based relay selection algorithms on the performance of an IEEE 802.16 j mobile multi-hop relay (MMR) WiMAX network
CMK Swain, S Das
Journal: Digital Communications and Networks
Cited By: 14
Year: 2018

Cyclostationary based spectrum sensing in cognitive radio: Windowing approach
J Mishra, DK Barik, CMK Swain
Journal: a a
Cited By: 11
Year: 2014

Study and impact of relay selection schemes on performance of an IEEE 802.16 j mobile multihop relay (MMR) WiMAX network
CMK Swain, S Das
Journal: Progress in Intelligent Computing Techniques: Theory, Practice, and Applications
Cited By: 6
Year: 2018

Throughput performance analysis of an integrated mobile WiMAX—DSRC cellular network with adaptive modulation and coding technique
VK Gugulothu, CMK Swain, S Das
Conference: 2017 2nd IEEE International Conference on Recent Trends in Electronics
Cited By: 4
Year: 2017

Brain Tumor Segmentation using LinkNet
P Sameer, VAR Kaushik, R Indrakanti, CMK Swain
Conference: 2022 Second International Conference on Next Generation Intelligent Systems
Cited By: 2
Year: 2022

Proposed prediction framework for improving the accuracy of path loss models of WiMAX network
CMK Swain, S Das
Journal: Wireless Personal Communications
Cited By: 2
Year: 2021

Estimation of path loss model for a 2.65 GHz mobile WiMAX network deployed in a sub-urban environment with regression techniques
CMK Swain, S Das
Journal: Wireless Personal Communications
Cited By: 2
Year: 2018

Electroencephalogram (EEG) signal denoising using optimized wavelet transform (WT) – A study
CMK Swain, A Singh, I Raghu
Book Chapter: Computational Intelligence in Medical Decision Making and Diagnosis
Cited By: 1
Year: 2023

Development of an empirical path loss model for a deployed 2.63 GHz WiMAX network in a rural environment
CMK Swain, S Das
Conference: 2015 IEEE Power, Communication and Information Technology Conference (PCITC)
Cited By: 1
Year: 2015

Coverage analysis of coded orthogonal frequency division multiplexing (C-OFDM) based high speed railways (HSR) networks under different propagation scenarios
CMK Swain
Journal: e-Prime – Advances in Electrical Engineering, Electronics, and Energy
Year: 2024

Performance Analysis of OFDM and OQAM/FBMC based Communication Networks under Vehicular Channel Models: A Comparative Study
CMK Swain, I Raghu, J Raiguru
Conference: 2022 Second International Conference on Next Generation Intelligent Systems
Year: 2022

A Study on Development of Path loss Modelling Schemes and Coverage Analysis for a Broadband Wireless Access Network
CMK Swain
Year: 2020

Coverage Probability Analysis of WiMAX Network under Additive White Gaussian Noise and Predicted Empirical Path Loss Model
CMK Swain, S Das
Journal: International Journal of Electronics and Communication Engineering
Year: 2019

 

Prof Dr. Tony Quek | Networking | Best Researcher Award

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Prof Dr. Tony Quek | Networking | Best Researcher Award

Professor at Networking , Singapore University of Technology and Design, Singapore

👨‍🎓He remarkable academic journey, extensive research contributions, and dedication to the field of psychology are truly commendable. Your wealth of knowledge and diverse skill set reflect a deep commitment to understanding and addressing critical issues such as bullying, inclusion, and socialization.

🔬 He successful completion of a PhD in Psychology, along with the numerous advanced courses and workshops, showcases your continuous pursuit of excellence and expertise in your field.

🏆 The awards and recognitions, including the First Place in the Poster Award at the University of Stavanger, underscore the impact of your research and the high regard it holds in the academic community.

Professional Profiles:

Education:

Prof. Dr. Tony Quek pursued his academic journey with a Bachelor of Engineering in Electrical & Electronics Engineering from Tokyo Institute of Technology, Tokyo, Japan, graduating in 1998. He furthered his studies at the same institution, completing a Master of Engineering in Information Processing from April 1998 to March 2000, focusing on Multiuser Detection for DS-CDMA Mobile Communication Systems under the guidance of Professor Hiroshi Suzuki. Dr. Quek’s academic pursuits led him to Massachusetts Institute of Technology (MIT), Cambridge, MA, where he obtained his Ph.D. in Electrical Engineering and Computer Science from September 2002 to February 2008. His doctoral research centered on Efficient Approaches to Robust and Cooperative Wireless Network Design, mentored by Professor Moe Z. Win.

Research Interest:

Dr. Tony Quek’s general research interests revolve around applying mathematical, optimization, learning, and statistical theories to various communication, networking, signal processing, and resource allocation problems. His current research topics include wireless communications and networking, network intelligence, non-terrestrial networks, open radio access networks, and 6G technology. He explores innovative approaches to enhance the efficiency, reliability, and intelligence of communication systems, with a focus on advancing the capabilities of future wireless networks.

Awards & Honors:

Dr. Tony Quek has received numerous honors and awards for his outstanding contributions to the field of electrical engineering and computer science. In 2023 and 2022, he was recognized as one of the World’s Top 2% Scientists. In 2022, he was elected as a Fellow of the Academy of Engineering Singapore and received the IEEE Signal Processing Society Best Paper Award. The year 2021 brought further accolades, including the OpenGov Recognition of Excellence and another recognition as one of the World’s Top 2% Scientists. In 2020, Dr. Quek was awarded the Nokia Visiting Professorship, recognized as a Clarivate Analytics Highly Cited Researcher, and received the IEEE Stephen O. Rice Prize in the Field of Communications Theory, among other honors. His contributions have been consistently recognized, including being elected as an IEEE Fellow in 2018 for his contributions to heterogeneous and wireless networks. Dr. Quek has also served as a Distinguished Lecturer for the IEEE Communications Society.

Experience:

Dr. Tony Quek has held several significant roles in academia and research. Since December 2022, he has served as the STEngineering Distinguished Professor at Singapore Technologies Engineering. Prior to this, Dr. Quek was appointed as the Director of the Future Communications R&D Programme at the Singapore University of Technology and Design (SUTD) in May 2021. He also served as the Interim Programme Director for the Design and Artificial Intelligence Programme at SUTD from April 2020 to December 2020. In March 2020, Dr. Quek was appointed as a Full Professor in the Information Systems Technology and Design Pillar at SUTD, where he currently holds the position of Head of Pillar. His work in these roles has contributed significantly to the advancement of research and education in the field of electrical engineering and computer science.

Teaching Experience:

Dr. Tony Quek has an extensive teaching experience at the Singapore University of Technology and Design (SUTD) in the ISTD and ESD Pillars. Since January 2013, he has taught several courses including “Modelling the Systems World” (Term 3, 2013, 2014, 2015), “The Digital World” (Term 3, 2014, 2016), and “Introduction to Probability and Statistics” (Term 5, 2018, 2019). His teaching contributions have been instrumental in shaping the learning experiences of students in the areas of modelling, digital systems, and probability and statistics, helping them develop a strong foundation in these subjects.

Publications:

  1. Enhanced intercell interference coordination challenges in heterogeneous networks
    • Authors: D Lopez-Perez, I Guvenc, G De la Roche, M Kountouris, TQS Quek, …
    • Citations: 1306
    • Year: 2011
  2. Federated learning with differential privacy: Algorithms and performance analysis
    • Authors: K Wei, J Li, M Ding, C Ma, HH Yang, F Farokhi, S Jin, TQS Quek, HV Poor
    • Citations: 1244
    • Year: 2020
  3. Offloading in mobile edge computing: Task allocation and computational frequency scaling
    • Authors: TQ Dinh, J Tang, QD La, TQS Quek
    • Citations: 881
    • Year: 2017
  4. Energy efficient heterogeneous cellular networks
    • Authors: YS Soh, TQS Quek, M Kountouris, H Shin
    • Citations: 676
    • Year: 2013
  5. Sensor OpenFlow: Enabling software-defined wireless sensor networks
    • Authors: T Luo, HP Tan, TQS Quek
    • Citations: 614
    • Year: 2012
  6. Scheduling policies for federated learning in wireless networks
    • Authors: HH Yang, Z Liu, TQS Quek, HV Poor
    • Citations: 522
    • Year: 2019

Dr. Pankaj Kumar Keserwani | Computer Science | Best Research Award

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Dr. Pankaj Kumar Keserwani | Computer Science | Best Research Award

Associate Professor at Computer Science, NIT Sikkim, India

👨‍🎓He remarkable academic journey, extensive research contributions, and dedication to the field of psychology are truly commendable. Your wealth of knowledge and diverse skill set reflect a deep commitment to understanding and addressing critical issues such as bullying, inclusion, and socialization.

🔬 He successful completion of a PhD in Psychology, along with the numerous advanced courses and workshops, showcases your continuous pursuit of excellence and expertise in your field.

🏆 The awards and recognitions, including the First Place in the Poster Award at the University of Stavanger, underscore the impact of your research and the high regard it holds in the academic community.

Professional Profiles:

Education:

Dr. Pankaj Kumar Keserwani holds a Ph.D. in Information Security from NIT Sikkim, which was awarded in 2021. He also has a Master’s (MS-CLIS) from IIIT Allahabad, with a grade point of 8.06, awarded in 2009. Additionally, he completed a Master’s in Computer Applications (MCA) from UPTU Lucknow, with a percentage of 67.25%, awarded in 2006. His Bachelor’s degree (B.Sc.) is from Allahabad University, with a percentage of 51.8%, awarded in 2001. He completed his 12th/Higher Secondary education from U.P. Board, with a percentage of 51.8%, in 1997, and his 10th from U.P. Board, with a percentage of 59%, in 1995.

Pankaj Kumar Keserwani ‘s citation metrics and indices from Google Scholar are as follows:

  • Cited by: All: 212, Since 2018: 178
  • Citations: 212 (All), 178 (Since 2018)
  • h-index:  9 (All), 7 (Since 2018)
  • i-10index: 6 (All), 4 (Since 2018

These metrics showcase the impact of Keserwani ‘s work within the academic community, demonstrating the number of citations his publications have received and the influence of his research output.

Experience:

  1. Organization: National Institute of Technology Sikkim
    • Post: Assistant Professor
    • Period: From 23.06.2021 to Present (2 years, 1 month)
    • Nature of Responsibilities: Teaching and administrative
    • Employment Type: Regular
  2. Organization: National Institute of Technology Sikkim
    • Post: Assistant Professor
    • Period: From 28.12.2015 to 22.06.2021 (5 years, 6 months)
    • Nature of Responsibilities: Teaching and administrative
    • Employment Type: Contract
  3. Organization: National Institute of Technology Sikkim
    • Post: Assistant Professor
    • Period: From 01.02.2012 to 27.12.2015 (3 years, 11 months)
    • Nature of Responsibilities: Teaching and administrative
    • Employment Type: Adhoc

Academic Responsibilities:

Dr. Pankaj Kumar Keserwani has organized and participated in several workshops and Faculty Development Programs (FDPs). He served as the Coordinator for a one-week FDP on Cloud Forensics: Techniques, Challenges, and Research Directions from 18/10/2021 to 22/10/2021. Additionally, he acted as the Co-Coordinator for a two-week FDP on Computer Vision and Image Processing using Deep Learning: Research Issues and Applications from 19/12/2022 to 30/12/2022. He also served as the Convener for a four-day workshop on Data Mining and Business Analytics from 16/11/2016 to 19/11/2016.

Publications:

“A smart anomaly-based intrusion detection system for the Internet of Things (IoT) network using GWO–PSO–RF model”

Authors: PK Keserwani, MC Govil, ES Pilli, P Govil

Citations: 68

Year: 2021

Journal: Journal of Reliable Intelligent Environments

“An efficient web mining algorithm for Web Log analysis: E-Web Miner”

Authors: MP Yadav, PK Keserwani, SG Samaddar

Citations: 22

Year: 2012

Conference: 2012 1st International Conference on Recent Advances in Information …

“Air Quality Index prediction using an effective hybrid deep learning model”

Authors: N Sarkar, R Gupta, PK Keserwani, MC Govil

Citations: 21

Year: 2022

Journal: Environmental Pollution

“Information security: Components and techniques”

Authors: A Singh, A Vaish, PK Keserwani

Citations: 21

Year: 2014

Journal: International Journal of Advanced Research in Computer Science and Software …

“Research issues and challenges of wireless networks”

Authors: A Singh, A Vaish, PK Keserwani

Citations: 12

Year: 2014

Journal: International Journal of Advanced Research in Computer Science and Software …

“An effective NIDS framework based on a comprehensive survey of feature optimization and classification techniques”

Authors: PK Keserwani, MC Govil, ES Pilli

Citations: 11

Year: 2023

Journal: Neural Computing and Applications

“An optimal intrusion detection system using GWO-CSA-DSAE model”

Authors: PK Keserwani, MC Govil, E S. Pilli

Citations: 9

Year: 2021

Journal: Cyber-Physical Systems

“Digital forensic enabled image authentication using least significant bit (lsb) with tamper localization based hash function”

Authors: UK Das, SG Samaddar, PK Keserwani

Citations: 9

Year: 2018

Book: Intelligent Communication and Computational Technologies:

Mr. GOPAL KRISHNA | Optical Wireless Communication | Best Researcher Award

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Mr. GOPAL KRISHNA | Optical Wireless Communication | Best Researcher Award

PhD Student at Optical Wireless Communication, INDIAN INSTITUTE OF TECHNOLOGY, India

👨‍🎓He remarkable academic journey, extensive research contributions, and dedication to the field of psychology are truly commendable. Your wealth of knowledge and diverse skill set reflect a deep commitment to understanding and addressing critical issues such as bullying, inclusion, and socialization.

🔬 He successful completion of a PhD in Psychology, along with the numerous advanced courses and workshops, showcases your continuous pursuit of excellence and expertise in your field.

🏆 The awards and recognitions, including the First Place in the Poster Award at the University of Stavanger, underscore the impact of your research and the high regard it holds in the academic community.

Professional Profiles:

Education:

Mr. Gopal Krishna is a dedicated scholar currently pursuing his Doctor of Philosophy in Electrical Engineering at the Indian Institute of Technology Patna since 2019, under the guidance of Dr. Sumanta Gupta. His research focuses on Underwater Wireless Optical Communication (UWOC), a critical area with vast applications in modern communication systems. Prior to his doctoral studies, Mr. Krishna completed his Master of Technology in Electronics and Communication Engineering with a specialization in VLSI Design and Embedded System at the National Institute of Technology Arunachal Pradesh (AP) India, where he achieved a commendable CGPI of 8.61. During this period, he was under the mentorship of Dr. Sahadev Roy, gaining valuable insights into advanced electronic systems. His academic journey began with a Bachelor of Technology in Electronics and Communication Engineering from Poornima College of Engineering, Jaipur, Rajasthan, India, where he obtained a percentage of 60.4, showcasing his foundational knowledge in the field. Mr. Krishna’s commitment to academic excellence is evident from his earlier academic achievements. He completed his Intermediate education as a private candidate under the Central Board of Secondary Education (CBSE), India, achieving a percentage of 58. His formative years at S. R. P. S. Govt. High School, Gardanibagh, Patna, Bihar, India, laid the groundwork for his academic pursuits, where he obtained a notable percentage of 64.8 in his High School education. Mr. Gopal Krishna’s educational journey reflects his strong dedication to academic growth and his pursuit of knowledge in the field of Electrical Engineering. His research in Underwater Wireless Optical Communication signifies his commitment to exploring innovative solutions for contemporary challenges in communication technology.

Teaching Experience:

Since July 2019, Mr. Gopal Krishna has served as a Teaching Assistant in the Department of Electrical Engineering at the Indian Institute of Technology Patna, Bihar, India. In this role, he has contributed to the academic development of students by assisting in the Basic Communication Lab and the Optical Communication Lab, enriching their practical knowledge in these areas.

Prior to this, from July 2016 to 2018, he worked as a Teaching Assistant in the Department of Electronics and Communication Engineering at the National Institute of Technology Arunachal Pradesh (AP) India. During this period, he was involved in the Analog Electronics Lab and the Digital Electronics Lab, where he played a crucial role in guiding students through practical exercises, fostering their understanding of analog and digital electronic systems.

Research Profile:

Mr. Gopal Krishna’s areas of interest encompass cutting-edge domains within electrical engineering, including underwater optical wireless communication, visible light communication, and digital signal processing. His research skills are highly specialized and include proficiency in optical wireless communication simulation using MATLAB, a crucial tool for analyzing and modeling complex optical communication systems. Additionally, he has demonstrated expertise in the realization of high-speed underwater optical communication using LED/LD (Light Emitting Diode/Laser Diode), indicating his practical knowledge and hands-on experience in implementing advanced communication technologies in real-world scenarios. These skills and interests position Mr. Krishna as a promising researcher with a focus on advancing the frontiers of optical communication technologies, particularly in challenging environments like underwater communication.

Computer Skill:

Mr. Gopal Krishna is proficient in a variety of operating systems, including Linux, Microsoft Windows, and macOS, demonstrating his adaptability across different computing environments. His expertise extends to documentation tools such as LATEX and MS Office, showcasing his ability to work with diverse platforms for document creation and management. In terms of programming languages, Mr. Krishna is skilled in C, Verilog/VHDL, System Verilog, and SPICE, indicating his proficiency in both hardware description languages and simulation tools commonly used in electronic design. Furthermore, his familiarity with packages like Vivado, Synopsys, Cadence, and Matlab highlights his experience in utilizing industry-standard software for FPGA development and electronic circuit design.