Hongming Chen | Computer Science | Best Researcher Award

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🌟Prof Dr. Hongming Chen, Computer Science, Best Researcher Award 🏆

  •   Professor at Ocean Space Internet of Things Laboratory of Zhejiang Ocean University, China

Hongming Chen is a highly accomplished academic and researcher in the field of electrical engineering and microelectronics engineering. With over 23 years of experience, he has made significant contributions to ASIC design, long-distance data center transmission, and internet of things. He currently holds positions as a professor at the School of Information Engineering, Zhejiang Ocean University, director of the Ocean Space Internet of Things Laboratory at Zhejiang Ocean University, and chair professor at the College of Electronics Information and Optical Engineering, Nankai University. He is also a Changjiang Scholar of China and a foreign academician of the Russian Academy of Engineering.

Author Metrics

Hongming Chen has an impressive publication record with over 70 academic papers, including more than 30 papers indexed by the SCI/EI database. He has also been granted 5 patents and published 2 monographs. Additionally, he has delivered over 50 public academic exchange reports, showcasing his expertise and contributions to the field.

ORCID Profile

Education

Chen received his bachelor’s degree in electrical engineering and his master’s degree in electronics engineering from National Tsing Hua University, Hsinchu, China, in 1997 and 2002 respectively. He earned his Ph.D. degree in microelectronics engineering from Peking University, Beijing, China, in 2015. His diverse educational background has equipped him with a strong foundation in both theoretical knowledge and practical skills.

Research Focus

Chen’s current research interests include Low-power RF SoC (System-on-Chip) and RISC-V processor design. His work in these areas aims to develop energy-efficient solutions for wireless communication systems and advanced processor architectures. Additionally, his research encompasses topics such as image compressive sensing reconstruction, federated learning in edge computing, and arrhythmia detection using ECG processing techniques.

Professional Journey

Throughout his career, Chen has held various academic and leadership positions in prestigious institutions. He has served as a professor at Zhejiang Ocean University, where he also directs the Ocean Space Internet of Things Laboratory. Additionally, he holds the position of chair professor at Nankai University, where he contributes to the College of Electronics Information and Optical Engineering. His professional journey demonstrates a commitment to advancing research and education in the field of electrical engineering and microelectronics.

Honors & Awards

Chen’s outstanding contributions to academia have been recognized through several prestigious honors and awards. He is a recipient of the Changjiang Scholars Programme of China, which acknowledges scholars of exceptional academic achievement and potential. Furthermore, he has been honored as a foreign academician of the Russian Academy of Engineering, reflecting his international recognition and influence in the field.

Publications Noted & Contributions

Chen has made significant contributions to the academic community through his prolific publication record. His research papers, patents, and monographs cover a wide range of topics, including ASIC design, data center transmission, internet of things, and image compressive sensing reconstruction. His publications have been well-received and cited, highlighting the impact of his work on the field of electrical engineering and microelectronics.

Title: EIDNet: Extragradient-based iterative denoising network for image compressive sensing reconstruction
Journal: Expert Systems with Applications
Year: 2024
Type: Journal article
DOI: 10.1016/j.eswa.2024.123829
Contributors: Changfeng Wang; Yingjie Huang; Cheng Ci; Hongming Chen; Hong Wu; Yingxin Zhao

Title: Online Incentive Mechanism Designs for Asynchronous Federated Learning in Edge Computing
Journal: IEEE Internet of Things Journal
Year: 2024
Type: Journal article
DOI: 10.1109/JIOT.2023.3316470
Contributors: Gang Li; Jun Cai; Chengwen He; Xiao Zhang; Hongming Chen

Title: An Energy-Efficient ECG Processor Based on HDWT and a Hybrid Classifier for Arrhythmia Detection
Journal: Applied Sciences
Year: 2023
Type: Journal article
DOI: 10.3390/app14010342
Contributors: Jiawen Deng; Jieru Ma; Jie Yang; Shuyu Liu; Hongming Chen; Xin’an Wang; Xing Zhang

Title: Underground Garage Patrol Based on Road Marking Recognition by Keras and Tensorflow
Journal: Applied Sciences
Year: 2023
Type: Journal article
DOI: 10.3390/app13042385
Contributors: Jianwen Gan; longqing zhang; Hongming Chen; Liping Bai; Xinwei Zhang; Lei Yang; Yanghong Zhang

Research Timeline

Chen’s research timeline spans over two decades, starting from his early education in electrical engineering and electronics engineering to his doctoral studies in microelectronics engineering. Throughout his career, he has continuously pursued research excellence, leading to numerous publications, patents, and academic honors. His research timeline reflects a trajectory of continuous growth, innovation, and impact in the field of electrical engineering.

Collaborations and Projects

Chen has been involved in various collaborative research projects aimed at advancing the state-of-the-art in electrical engineering and microelectronics. His collaborations extend across academic institutions and industry partners, facilitating interdisciplinary research and innovation. Additionally, he has led projects focusing on low-power RF SoC, RISC-V processor design, image compressive sensing reconstruction, and edge computing. These collaborations and projects demonstrate Chen’s commitment to collaborative research and addressing real-world challenges through technological advancements.

Aizan Zafar | Computer Science | Best Researcher Award

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🌟Mr. Aizan Zafar, Computer Science, Best Researcher Award 🏆

  • Aizan Zafar at Indian Institute of Technology Patna, India

Aizan Zafar is a dedicated Ph.D. scholar with a passion for advancing knowledge in the field of Natural Language Processing (NLP) and Artificial Intelligence (AI). With a strong background in Information Technology, Aizan has pursued higher education at prestigious institutions like the Indian Institute of Technology Patna and the University of Hyderabad. Their research focuses on developing innovative solutions for Medical Question Answering and Dialogue Systems, aiming to improve healthcare communication and accessibility. Aizan’s academic journey reflects a commitment to excellence, evident in their published research papers and active participation in workshops and conferences. Their collaborative nature and leadership skills have earned them recognition in both academic and professional spheres.

Author Metrics

Scopus Profile

Google Scholar Profile

Aizan Zafar’s contributions to the field of NLP and AI are notable, with a track record of published papers in reputed journals and conferences. Their author metrics reflect the impact of their research, including citation counts, h-index, and other relevant metrics. These metrics serve as quantitative measures of Aizan’s scholarly output and influence within the academic community, highlighting their role as a significant contributor to the advancement of knowledge in their field.

  • Citations: A total of 10 citations across 9 documents.
  • Documents: Aizan Zafar has authored 5 documents.
  • h-index: 2

Education

Aizan Zafar’s educational journey underscores a commitment to academic excellence and intellectual growth. They hold a Ph.D. in Computer Science and Engineering from the Indian Institute of Technology Patna, where they are currently pursuing research in NLP. Prior to this, Aizan completed their M.Tech. in Information Technology at the University of Hyderabad, specializing in Machine Learning. Their academic background also includes a B.Tech. in Information Technology from Guru Ghasidas Central University, Chhattisgarh. Throughout their educational endeavors, Aizan has demonstrated a strong aptitude for research and a passion for pushing the boundaries of knowledge in their chosen field.

Research Focus

Aizan Zafar’s research primarily revolves around Natural Language Processing (NLP) and its applications in healthcare and conversational AI. Their work focuses on developing advanced algorithms and models for Medical Question Answering and Dialogue Systems. By leveraging techniques such as knowledge graphs and deep learning, Aizan aims to enhance the understanding and generation of medical text, ultimately improving patient care and medical information accessibility. Their research also delves into areas like generative AI and machine learning, reflecting a broad interest in pushing the boundaries of AI technology.

Professional Journey

Aizan Zafar’s professional journey is characterized by a strong commitment to research and academia. As a Ph.D. scholar at the Indian Institute of Technology Patna, they have been actively involved in cutting-edge research projects and collaborations. Their role as a Teaching Assistant and Project Research Scholar has allowed them to mentor and guide students while contributing to the academic community. Prior to their Ph.D., Aizan gained valuable experience as an M.Tech. student at the University of Hyderabad, where they conducted research on clustering algorithms and served as a Teaching Assistant in various IT subjects.

Honors & Awards

Throughout their academic and professional journey, Aizan Zafar has received recognition for their outstanding achievements and contributions to the field of Computer Science and Engineering. Their honors and awards underscore their dedication to excellence and their significant impact on research and scholarship. These accolades serve as a testament to Aizan’s intellectual prowess and their potential to make significant contributions to the advancement of knowledge in their field.

Publications Noted & Contributions

Aizan Zafar’s contributions to academia are evident through their notable publications in esteemed journals and conferences. Their research papers cover a wide range of topics in NLP, AI, and healthcare, addressing critical issues such as Medical Question Answering, Dialogue Systems, and Knowledge Graphs. These publications reflect Aizan’s expertise in developing innovative solutions to complex problems, as well as their ability to communicate research findings effectively to the academic community. Their contributions have made a significant impact on advancing the state-of-the-art in NLP and AI, with potential applications in healthcare, education, and beyond.

Knowledge grounded medical dialogue generation using augmented graphs

  • Authors: D Varshney, A Zafar, NK Behera, A Ekbal
  • Published in: Scientific Reports, Volume 13 (1), Page 3310, 2023
  • Citations: 9

Knowledge graph assisted end-to-end medical dialog generation

  • Authors: D Varshney, A Zafar, NK Behera, A Ekbal
  • Published in: Artificial Intelligence in Medicine, Volume 139, Page 102535, 2023
  • Citations: 8

Novel Initialization Strategy for K-modes Clustering Algorithm

Authors: A Zafar, K Swarupa Rani

Published in: Proceedings of International Conference on Big Data, Machine Learning and …, 2021

Citations: 3

KI-MAG: A knowledge-infused abstractive question answering system in the medical domain

  • Authors: A Zafar, SK Sahoo, H Bhardawaj, A Das, A Ekbal
  • Published in: Neurocomputing, Volume 571, Page 127141, 2024
  • Citations: 1

Cdialog: A multi-turn COVID-19 conversation dataset for entity-aware dialog generation

  • Authors: D Varshney, A Zafar, NK Behera, A Ekbal
  • Published in: arXiv preprint arXiv:2212.06049, 2022
  • Citations: 1

Research Timeline

Aizan Zafar’s research timeline provides a chronological overview of their academic and professional endeavors in the field of Computer Science and Engineering. It highlights key milestones such as their enrollment in Ph.D. and M.Tech. programs, participation in workshops and conferences, and the publication of research papers. This timeline serves as a roadmap of Aizan’s research journey, illustrating their progression from a student to a seasoned researcher, and their ongoing commitment to advancing knowledge in their chosen field.

Collaborations and Projects

Aizan Zafar has actively engaged in collaborative research projects aimed at addressing real-world challenges in healthcare, education, and other domains. Their involvement in projects such as Sevak (an Intelligent Indian Language Chatbot) and PERCURO (a holistic solution for clinical text) highlights their interdisciplinary approach to research and their ability to work in diverse teams. Through these collaborations, Aizan has contributed to the development of innovative solutions and technologies with the potential to impact society positively. Their projects demonstrate a commitment to applying cutting-edge research to solve practical problems and improve people’s lives.

Mahsa Shirzadian | Wireless Communications | Best Researcher Award

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🌟Assist Prof Dr. Mahsa Shirzadian, Wireless Communications, Best Researcher Award🏆

  •  Assistant Professor at Gilan University of Kurdistan, Iran

Mahsa Shirzadian Gilan is a highly accomplished researcher and educator in the field of Telecommunication System Engineering. With a Ph.D. from the University of Tehran and extensive experience in academia and industry, Mahsa has established herself as a leading expert in wireless communications, cooperative networking, and cognitive neuroscience. Her passion for advancing the field is evident through her numerous publications, teaching endeavors, and contributions to academic conferences and workshops.

Author Metrics

ORCID Profile

Scopus Profile

Google Scholar Profile

Mahsa’s contributions have garnered significant attention within the academic community, as evidenced by her author metrics. Her publications have received citations and recognition, reflecting their relevance and impact in the field of telecommunications and related disciplines.

  • Citations: 67 citations from 30 documents
  • Documents: 13 documents authored or co-authored
  • h-index: 6

Education

Ph.D. in Telecommunication System Engineering: University of Tehran, Signal Processing & Communication Systems Lab. Graduated in July 2018. Thesis focused on “Resource Allocation and Beamforming in 5G Networks by Employing Relays.”

MSc in Telecommunication System Engineering: Amirkabir University of Technology, Tehran-Iran. Graduated in 2014. Thesis titled “Analysis and Simulation of Cross Layer Design for Cooperative OFDM Systems.”

BSc in Electrical Engineering: Amirkabir University of Technology, Tehran-Iran. Graduated in 2012 with honors in Communication and Electronic Engineering.

Research Focus

Mahsa’s research interests span a wide range of topics in telecommunications, including wireless communications, cooperative networking, artificial intelligence and machine learning, beamforming, cognitive neuroscience, 5G networks, interference management, and more. She has made significant contributions to the development of innovative solutions for improving the efficiency and performance of wireless communication systems.

Professional Journey

Mahsa’s professional journey includes roles as an Assistant Professor at the University of Kurdistan, a Postdoctoral Fellow at the University of Regina in Canada, and a Project Collaborator on a Neuroscience project at the University of Gottingen in Germany. She has also served as a lecturer and researcher at various universities in Iran, teaching courses in communication systems, digital communication, signals and systems, and more.

Honors & Awards

Mahsa has received numerous honors and awards throughout her academic and professional career. She ranked first among Ph.D. and MSc students in Communication at the University of Tehran and Amirkabir University of Technology, respectively. She was admitted to her MSc and Ph.D. programs via honor student regulations and graduated with honors in Communication Engineering with two degrees. Additionally, she has been recognized for her achievements in national Olympiads and scientific matches.

Publications Noted & Contributions

Mahsa has authored or co-authored several impactful papers published in prestigious journals and presented at renowned conferences. Her research contributions cover a wide range of topics, including relay channels, cross-layer schemes, space-time coding, beamforming, cooperative networks, adaptive modulation, and more. She has also served as a reviewer for various journals and conferences, further contributing to the advancement of her field.

Title: Performance analysis of power-efficient IRS-Assisted full duplex NOMA systems

  • Journal: Physical Communication
  • Date: March 2024
  • DOI: 10.1016/j.phycom.2024.102338
  • Contributors: Mahsa Shirzadian Gilan; Behrouz Maham

Title: Beam tracking in phased array antenna based on the trajectory classification

  • Journal: Transactions on Emerging Telecommunications Technologies
  • Date: June 2023
  • DOI: 10.1002/ett.4769
  • Contributors: Mahsa Shirzadian Gilan; Raman Paranjape

Title: Diversity achieving full‐duplex DF relaying with joint relay‐antenna selection under Nakagami‐m fading environment

  • Journal: International Journal of Communication Systems
  • Date: March 25, 2023
  • DOI: 10.1002/dac.5427
  • Contributors: Mahsa Shirzadian Gilan; Behrouz Maham

Title: Joint beamforming and space‐time coding in limited‐feedback cooperative networks with threshold‐based MIMO selection relaying

  • Journal: Transactions on Emerging Telecommunications Technologies
  • Date: December 2019
  • DOI: 10.1002/ett.3777
  • Contributors: Mahsa Shirzadian Gilan; Ali Olfat

Title: New beamforming and distributed space‐time coding with selection relaying over Nakagami‐m fading channels

  • Journal: Transactions on Emerging Telecommunications Technologies
  • Date: December 2018
  • DOI: 10.1002/ett.3528
  • Contributors: Mahsa Shirzadian Gilan; Ali Olfat

Research Timeline

Mahsa’s research journey has been characterized by continuous growth and development. Starting from her undergraduate studies, she has consistently pursued opportunities for learning and innovation. Her timeline includes significant milestones such as completing her Ph.D., conducting postdoctoral research, and contributing to various projects and publications. Each phase of her career has contributed to her expertise and reputation as a leading researcher in telecommunications.

Mohammad Reza Ghavidel Aghdam | Electrical engineering | Best Researcher Award

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🌟Dr. Mohammad Reza Ghavidel Aghdam, Electrical engineering, Best Researcher Award🏆

  •   Doctorate at Ozyegin University, Turkey

Mohammadreza Ghavidel Aghdam is a highly accomplished individual with a strong background in telecommunications engineering and wireless communications. He holds a Doctor of Philosophy degree in Telecommunications Engineering from the University of Tabriz, Iran. With extensive experience in both academia and research, he has contributed significantly to the development of wireless communication systems, particularly in areas such as millimeter-wave technology, non-orthogonal multiple access (NOMA), and reconfigurable intelligent surfaces (RIS). Aghdam’s expertise also extends to machine learning applications in wireless communications and signal processing. Currently, he serves as an Instructor at Ozye˘gin University in Istanbul, Turkey, where he continues to advance the field of wireless communication through research and teaching.

Author Metrics

ORCID Profile

Scopus Profile

Aghdam’s research output is characterized by its quality and impact, as evidenced by his publication record and citation metrics. He has authored numerous journal papers and conference papers that have been well-received within the academic community. His contributions have garnered attention from researchers and practitioners alike, contributing to the advancement of knowledge in the field of wireless communications.

Citations: 56 citations by 43 documents

Documents: 13

h-index: 4

Overview:

Mohammad Reza Ghavidel Aghdam is affiliated with Özyeğin Üniversitesi in Istanbul, Turkey. He has an ORCID profile and a Scopus Author Identifier. His work has garnered 56 citations from 43 documents, with a total of 13 published documents. His h-index, a measure of the productivity and impact of an author’s work, is 4.

Education

Aghdam pursued his academic journey with dedication, earning a Bachelor of Science in Telecommunications Engineering from Urmia University, Iran, followed by a Master of Science and a Doctor of Philosophy degree in Telecommunications Engineering from the University of Tabriz, Iran. His doctoral dissertation focused on beamforming and random user pairing in millimeter-wave MIMO transmission schemes based on NOMA. Throughout his educational pursuits, Aghdam consistently achieved excellent academic performance, reflected in his high GPA and numerous awards.

Research Focus

Aghdam’s research interests revolve around various aspects of wireless communications, with a particular focus on advanced technologies such as millimeter-wave communication, non-orthogonal multiple access (NOMA), and reconfigurable intelligent surfaces (RIS). His research contributions include the development of novel transmission schemes, beamforming techniques, and optimization algorithms aimed at enhancing the efficiency and performance of wireless communication systems. Additionally, he has explored the application of machine learning algorithms in wireless communication, paving the way for innovative solutions to complex challenges in the field.

Professional Journey

Aghdam’s professional journey spans academia and research, marked by significant achievements and contributions. He has served as an Instructor at Ozye˘gin University, Istanbul, Turkey, where he specializes in wireless communication and imparts his knowledge to students. Prior to this role, he worked as a Graduate Research Assistant at the University of Tabriz, Iran, where he conducted cutting-edge research in areas such as MIMO, NOMA, and millimeter-wave communication. Aghdam’s dedication to his field is evident through his extensive publication record and active involvement in academic and professional activities.

Honors & Awards

Throughout his career, Aghdam has been recognized for his outstanding achievements and contributions to the field of telecommunications engineering. He has received prestigious awards such as the Best Paper Award and the National Elite Foundation Scholarship Award, underscoring his excellence in research and academic endeavors. Additionally, he has been honored for his teaching and mentoring contributions, reflecting his commitment to nurturing future talents in the field.

Publications Noted & Contributions

Aghdam has made significant contributions to the academic literature through his research publications in esteemed journals and conferences. His work covers a wide range of topics, including GFDM systems, NOMA transmission schemes, beamforming techniques, and machine learning applications in wireless communication. Aghdam’s publications reflect his deep understanding of complex technical concepts and his ability to propose innovative solutions to real-world problems in wireless communication systems.

Title: Eliminating intrinsic interference in GFDM systems: Design of a complex-valued prototype filter

  • Journal: Physical Communication
  • Year: 2024
  • DOI: 10.1016/j.phycom.2023.102258
  • Contributors: Ghavidel Aghdam, M.R.; Mozaffari Tazehkand, B.; Abdolee, R.

Other Contributions:

Title: Optimal Complex-Valued Prototype Filter Design for GFDM Systems

  • Source: arXiv
  • Year: 2023
  • DOI: 10.48550/arXiv.2301.10771
  • Contributors: Tazehkand, B.M.; Aghdam, M.R.G.; Abdolee, R.

Title: Optimal Prototype Filter Design Based on New Mathematical Model of GFDM System

  • Source: arXiv
  • Year: 2023
  • DOI: 10.48550/arXiv.2301.10470
  • Contributors: Tazehkand, B.M.; Aghdam, M.R.G.; Abdolee, R.; Kamyab, A.

Title: Optimal Prototype Filter Design in GFDM Systems for Self-Interference Elimination: A Novel Signal Processing Approach

  • Source: SSRN
  • Year: 2023
  • DOI: 10.2139/ssrn.4669184
  • Contributors: Tazehkand, B.M.; Aghdam, M.R.G.; Abdolee, R.; Kamyab, A.

Conference Papers:

Title: Out-of-Band Analysis of GFDM Systems Based on Different Self-Interference Types

  • Conference: 2023 IEEE 13th Annual Computing and Communication Workshop and Conference (CCWC)
  • Year: 2023-03-08
  • DOI: 10.1109/ccwc57344.2023.10099217
  • Contributors: Mohammad Reza Ghavidel Aghdam; Reza Abdolee; Behzad Mozaffari Tazehkand; Azadeh Abedi Jirdeh

Research Timeline

Aghdam’s research timeline showcases his progression and evolution as a researcher in the field of telecommunications engineering. From his early undergraduate studies to his doctoral research and current professional endeavors, Aghdam has consistently demonstrated a passion for pushing the boundaries of knowledge and innovation in wireless communication technologies. His timeline reflects a trajectory of growth, accomplishment, and continuous contribution to the field.

Bin Tang | Optics and photonics | Best Researcher Award

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🌟Prof Dr. Bin Tang, Optics and photonics, Best Researcher Award🏆

  • Professor at Changzhou University, China

Prof. Bin Tang is a distinguished physicist specializing in the fields of optical metamaterials, plasmonics, and nanophotonics. He currently serves as a Professor of Physics at Changzhou University, China. With a Ph.D. from Shanghai Jiao Tong University and extensive experience as a visiting scholar at Northwestern University, USA, Prof. Tang has made significant contributions to the understanding of light-material interactions at the nanoscale. He is renowned for his research on terahertz metamaterials and is actively involved in various academic committees and editorial boards.

Author Metrics

Scopus Profile

ORCID Profile

Google Scholar Profile

Prof. Tang’s research impact is reflected in his author metrics, which include citations, h-index, and publication indices. His work has garnered significant attention within the scientific community, as evidenced by the high citation count of his publications and his impressive h-index. These metrics serve as quantitative indicators of Prof. Tang’s influence and reputation as a leading figure in the field of optical physics.

  • Citations: Bin Tang’s publications have received a total of 2,683 citations, indicating the impact and relevance of his research within the scientific community.
  • Documents: Tang has authored or co-authored 134 documents, showcasing the breadth and depth of his scholarly contributions across various topics within his field.
  • h-index: With an h-index of 30, Tang’s research output has been cited at least 30 times in other scholarly publications. This metric is widely used to quantify the productivity and impact of an individual researcher’s work, with a higher h-index indicating greater influence and productivity.

Education

Prof. Bin Tang completed his Ph.D. in Physics from Shanghai Jiao Tong University, China. Prior to that, he obtained his Master of Science degree from Central South University and his Bachelor of Science degree from Hunan University of Science and Technology, both in China. His academic journey equipped him with a strong foundation in theoretical and experimental physics, laying the groundwork for his distinguished career in academia.

Research Focus

Prof. Tang’s research focuses on optical metamaterials, plasmonics, and nanophotonics, with a particular emphasis on understanding the interaction between light and nanoscale photonic materials. His work explores novel materials and structures to manipulate light at the nanoscale, leading to applications in areas such as terahertz technology, solar energy harvesting, and optical sensing. Prof. Tang’s innovative research has the potential to revolutionize various fields by enabling unprecedented control over light-matter interactions.

Professional Journey

Prof. Bin Tang’s professional journey spans academia and research institutions across China and the United States. He has held positions as a Research Assistant at the State Key Laboratory of Advanced Optical Communication Systems and Networks at Shanghai Jiao Tong University, as well as a Teaching Assistant at Jiangsu Polytechnic University. His international experience includes a visiting scholar position at Northwestern University, where he collaborated with leading researchers in the field of electronic engineering and computer science.

Honors & Awards

In October 2023, Prof. Bin Tang was recognized for his outstanding contributions to the field of physics and was selected into the list of “Top 2% of the World’s Top Scientists”. This prestigious acknowledgment underscores his significant impact on the scientific community and highlights the excellence of his research endeavors. Additionally, Prof. Tang has received various accolades and honors throughout his career, reflecting his dedication to advancing the frontiers of science.

Publications Top Noted & Contributions

Prof. Tang has authored and co-authored over 70 peer-reviewed journal articles, showcasing his prolific research output and intellectual contributions to the field of physics. His publications cover a wide range of topics, including metasurfaces, terahertz technology, plasmonic structures, and photonic materials. These contributions have not only expanded our fundamental understanding of light-matter interactions but also hold immense potential for practical applications in areas such as telecommunications, sensing, and renewable energy.

Chiral-selective plasmonic metasurface absorbers operating at visible frequencies

  • Authors: B Tang, Z Li, E Palacios, Z Liu, S Butun, K Aydin
  • Published in: IEEE Photonics Technology Letters
  • Year: 2017
  • Citations: 139
  • Summary: This study presents chiral-selective plasmonic metasurface absorbers designed to operate at visible frequencies. The absorbers demonstrate selective absorption of circularly polarized light, offering potential applications in polarization-sensitive devices and optical communication systems.

Novel Z-scheme In2S3/Bi2WO6 core-shell heterojunctions with synergistic enhanced photocatalytic degradation of tetracycline hydrochloride

  • Authors: Z He, MS Siddique, H Yang, Y Xia, J Su, B Tang, L Wang, L Kang, …
  • Published in: Journal of Cleaner Production
  • Year: 2022
  • Citations: 125
  • Summary: This work introduces novel Z-scheme In2S3/Bi2WO6 core-shell heterojunctions, which exhibit synergistic enhanced photocatalytic degradation of tetracycline hydrochloride. The study highlights the potential of these heterojunctions for efficient and environmentally friendly wastewater treatment.

Thermally switching between perfect absorber and asymmetric transmission in vanadium dioxide-assisted metamaterials

  • Authors: Y Ren, T Zhou, C Jiang, B Tang
  • Published in: Optics Express
  • Year: 2021
  • Citations: 122
  • Summary: This research explores the thermal switching behavior between perfect absorber and asymmetric transmission in vanadium dioxide-assisted metamaterials. The study elucidates the mechanism behind the thermal modulation of optical properties, paving the way for the development of tunable photonic devices.

Fabrication and photocatalytic property of ZnO/Cu2O core-shell nanocomposites

  • Authors: Z He, Y Xia, B Tang, X Jiang, J Su
  • Published in: Materials Letters
  • Year: 2016
  • Citations: 110
  • Summary: This study presents the fabrication and characterization of ZnO/Cu2O core-shell nanocomposites with enhanced photocatalytic properties. The nanocomposites exhibit efficient degradation of organic pollutants under visible light irradiation, offering potential applications in environmental remediation.

Fabrication of magnetically separable NiFe2O4/Bi24O31Br10 nanocomposites and excellent photocatalytic performance under visible light irradiation

  • Authors: Z He, Y Xia, J Su, B Tang
  • Published in: Optical Materials
  • Year: Not specified
  • Citations: Not specified
  • Summary: This research focuses on the fabrication of magnetically separable NiFe2O4/Bi24O31Br10 nanocomposites and evaluates their photocatalytic performance under visible light irradiation. The nanocomposites demonstrate excellent photocatalytic activity, suggesting their potential for environmental remediation applications.

Research Timeline

Prof. Bin Tang’s research timeline spans over two decades and encompasses various stages of his academic and professional journey. From his early years as a Teaching Assistant to his current position as a Professor of Physics, each phase of his career has been marked by significant contributions to the field of optical metamaterials and nanophotonics. His research timeline illustrates a trajectory of continuous growth, innovation, and excellence in scientific inquiry.

Manfred Broy | Verteilte System | Best Researcher Award

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🌟Prof Dr. Manfred Broy , Verteilte System, Best Researcher Award🏆

 Professor at TU München, Germany

Dr. Dr. h.c. Manfred Hans Bertold Broy is a distinguished figure in the realm of Software & Systems Engineering, boasting an extensive career marked by pioneering research, esteemed academic positions, and notable accolades. With a Ph.D. in Natural Sciences and a focus on critical embedded systems and complex software development, Dr. Broy’s contributions have significantly impacted the field, earning him international recognition and numerous awards.

Author Metrics:

3Dr. Broy’s scholarly impact is evidenced by his prolific publication record, citation metrics, and collaborations with esteemed researchers and institutions worldwide. His work has not only contributed to the advancement of Software & Systems Engineering but has also influenced subsequent generations of scholars and practitioners in the field.

Scopus Profile

Citations: 3,990 citations across 3,088 documents

Documents: Authored or co-authored 276 documents

h-index: 32 (h-index represents the author’s productivity and citation impact; it means that there are 32 publications by the author that have each been cited at least 32 times)

Education:

Dr. Broy obtained his Ph.D. in Natural Sciences from Technische Universität München in 1980, followed by a Habilitation from the same institution in 1982. His academic journey solidified his expertise in the theory of Nondeterminism, Parallelism, Communication, and Concurrency, laying the foundation for his future research endeavors.

Research Focus:

Dr. Broy’s research primarily revolves around Software & Systems Engineering, encompassing critical embedded systems, mobility, context-awareness, and development methods for large-scale software systems. His work delves into foundational aspects, methods, processes, models, and tools crucial for effective software development, addressing contemporary challenges in the field.

Professional Journey:

Throughout his illustrious career, Dr. Broy has held various esteemed positions, including founding and serving as Dean of the Faculty of Mathematics and Computer Sciences at Universität Passau. He later assumed full professorships at both Universität Passau and Technische Universität München, where he succeeded Prof. F.L. Bauer. Dr. Broy’s leadership extends to roles such as Chairman of the Board of Directors at fortiss and Founding President of the Center Digitization Bavaria.

Honors & Awards:

Dr. Broy’s contributions have been recognized with numerous honors and awards, including the Gottfried Wilhelm Leibniz Prize, the Federal Cross of Merit, and the Konrad-Zuse-Award. His memberships in prestigious academies, such as the European Science Academy and the Bayerische Akademie der Wissenschaften, underscore his esteemed standing in the academic community.

Publications Top Noted & Contributions:

Dr. Broy’s publications and contributions span a wide array of topics within Software & Systems Engineering, addressing critical issues and advancing theoretical frameworks and practical methodologies. His scholarly output reflects a deep commitment to advancing the field and disseminating knowledge through impactful research.

Title: Time, causality, and realizability: Engineering interactive, distributed software systems

  • Journal: Journal of Systems and Software
  • Year: 2024
  • Volume: 210

Title: Specification and verification of concurrent systems by causality and realizability

  • Journal: Theoretical Computer Science
  • Year: 2023
  • Volume: 974

Title: Development Use Cases for Semantics-Driven Modeling Languages

  • Journal: Communications of the ACM
  • Year: 2023
  • Volume: 66(5)
  • Pages: 62–71

Title: Software System Documentation: Coherent Description of Software System Properties

  • Journal: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
  • Year: 2022
  • Volume: 13702 LNCS
  • Pages: 10–27

Title: Architecture as a Backbone for Safe DevOps in Automotive Systems

  • Conference: IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC
  • Year: 2022
  • Date: 2022-October
  • Pages: 4145–4150
  • Authors: S. Kugele, M. Broy

Research Timeline:

Throughout his career, Dr. Broy’s research trajectory has evolved in tandem with the dynamic landscape of Software & Systems Engineering. From foundational studies in parallelism and concurrency to cutting-edge research in critical embedded systems and mobility, his work reflects a continuous quest for innovation and excellence, shaping the field’s direction and contributing to its evolution over time.

Sonika Sharma | Food Technology | Best Researcher Award

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🌟 Dr. Sonika Sharma, Food Technology, Best Researcher Award 🏆

Doctorate at Punjab Agricultural University, Ludhiana, India

Professional Profiles:

Bio Summary:

Dr. Sonika Sharma is a distinguished Professor specializing in Food and Nutrition. With a keen interest in Public Health, Development of Functional Foods, and Food Safety, Dr. Sharma has made significant contributions to the field. Her research focuses on optimizing nutritional compositions and enhancing food safety in various agricultural products.

Education:

B.Sc. (Home Science) – PAU Gold Medalist

M.Sc. (Food and Nutrition) – PAU Merit Scholarship Holder

Research Focus:

Public Health

Development of Functional Foods

Food Safety

Professional Journey:

Dr. Sharma’s professional journey includes notable roles as a Co-Principal Investigator in research projects funded by Punjab Government and NABARD. She has successfully commercialized technologies related to pumpkin seeds and Vitamin D-enriched mushroom powder.

Honors & Awards:

SwaranPadak Award for Experimental Nutrition

Best Oral Presentation Awards at various conferences

PAU Merit Scholarships and Certificates

Publications Top Noted & Contributions:

Dr. Sharma has contributed significantly to the scientific community with research papers on topics such as biochemical diversity in Brassica leafy greens, optimization of nutritional composition in microgreens, and the hepatoprotective effect of lemongrass detoxifying drink.

Assessment and Prediction of Malnutrition and Sarcopenia in Liver Cirrhosis Patients

    • Journal: Nutrire
    • Year: 2023
    • DOI: 10.1186/s41110-023-00189-9
    • Contributors: Sehgal, P.; Sharma, S.; Sood, A.; Dharni, K.; Kakkar, C.; Batta, S.; Sahotra, M.

Trends of Inflammatory Bowel Disease from the Global Burden of Disease Study (1990-2019)

    • Journal: Indian Journal of Gastroenterology
    • Year: 2023
    • DOI: 10.1007/S12664-023-01430
    • Contributors: Dharni, Khushdeep; Singh, Arshdeep; Sharma, Sonika; Midha, Vandana; Kaur, Kirandeep; Mahajan, Ramit; Dulai, Parambir S.; Sood, Ajit

Trends of Inflammatory Bowel Disease from the Global Burden of Disease Study (1990-2019)

    • Journal: Indian Journal of Gastroenterology
    • Year: 2023
    • DOI: 10.1007/s12664-023-01430-z
    • Contributors: Dharni, K.; Singh, A.; Sharma, S.; Midha, V.; Kaur, K.; Mahajan, R.; Dulai, P.S.; Sood, A.

Ameliorative Effect of Lemongrass and Celery against CCl<sub>4</sub> Induced Oxidative Stress and Acute Hepatotoxicity in Rats: An In Vivo Assessment

    • Journal: Annals of Phytomedicine: An International Journal
    • Year: 2022
    • DOI: 10.54085/AP.2022.11.1.38
    • Contributors: Mahar, Jyoti Bohra; Sharma, Sonika; Kaur, Rajdeep; Grover, Kiran; Dharni, Khushdeep; Nara, Usha

Role of Vitamin D beyond Bone Health: A Systematic Review

    • Journal: Annals of Phytomedicine: An International Journal
    • Year: 2022
    • DOI: 10.54085/AP.2022.11.2.13
    • Contributors: Yogesh; Sharma, Sonika

Author Metrics:

Dr. Sharma’s research has gained recognition with awards, best paper presentations, and inclusion in package of practices. She has consistently demonstrated excellence in her contributions to the field.

  • Citations: 6 documents
  • Documents: 9
  • h-index: 2

Research Timeline:

2011-12: Investigated the effect of household processing on pesticide residues in fruits and vegetables.

2020: Commercialized pumpkin seeds technology.

2021: Explored business planning and sustainability in FPOs in Punjab.

2022: Assessed the performance and future prospects of selected FPOs in Punjab.

2023: Successfully commercialized Vitamin D-enriched mushroom powder technology.

Dr. Sonika Sharma’s research journey reflects a commitment to advancing knowledge in Food and Nutrition, ensuring its practical application, and contributing to the scientific community through innovative and impactful research.

Rafiq Ahmad Khan | Software Engineering | Young Scientist Award

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🌟 Dr. Rafiq Ahmad Khan, North Western Polytechnical University, China: Software Engineering🏆

Professional Profiles:

Bio Summary:

Dr. Rafiq Ahmad Khan is a Pakistani national born on April 10, 1988. He is a Senior Member of the Software Engineering Research Group at the University of Malakand, with 11 years of research experience in Empirical Software Engineering and Data Science. Dr. Khan is passionate about various aspects of software engineering, including security, artificial intelligence, global software development, and more.

Education:

  • Ph.D. in Computer Science (Software Engineering), University of Malakand, Pakistan, Sep 2017 – May 2022, CGPA: 3.7/4.0, Thesis Title: Security Assurance Model of Software Development for GSD Vendors.
  • M.Phil. in Computer Science (Software Engineering), University of Malakand, Pakistan, March 2012 – Aug 2015, CGPA: 3.2/4.0, Thesis Title: Communication and Coordination Challenges Mitigation Model for Offshore Software Development Vendors.
  • BS (CS) Hons 4-Years in Computer Science, Aug 2007 – Dec 2011, Percentage: 83.06, Thesis Title: Pak Telecommunication Job Portal (Project).

Research Focus:

Dr. Khan’s research interests include:

  • Empirical Software Engineering
  • Secure Software Engineering
  • Artificial Intelligence
  • Global Software Development
  • Evidence-based Software Engineering
  • Requirements Engineering
  • Cloud and Green Computing
  • DevSecOps
  • Cybersecurity
  • Quantum Computing
  • Software Process Improvement
  • Software Modeling and Validation

Professional Journey:

  • Current: Teaching in Government Elementary and Secondary Education Department, Khyber Pakhtunkhwa, Pakistan (SST, BPS-16).
  • 2012 to Present: Member of SERG_UOM, Research Experience 11 years.
  • March 2011 to Nov 2015: Subject Specialist (BPS-17) at Al-Farooq Model High School & College.

Honors & Awards:

  • Winner of 2008 and 2010 Cricket Final, University of Malakand.
  • Runners up in 2007 and 2011 Cricket Final, University of Malakand.
  • Received numerous trophies in local district cricket tournaments.
  • Led the Computer Science hiking team in a 2010 expedition to Kaghan, Naran, Jheel Saif-ul-Malook, organized by the University of Malakand.

Publications Top Noted & Contributions:

Dr. Khan has made significant contributions to the field of software engineering with numerous research publications. Some notable titles include:

  • “Systematic mapping study on security approaches in secure software engineering.”
  • “An Evaluation Framework for Communication and Coordination Processes in Offshore Software Development Outsourcing Relationship.”
  • “Security Assurance Model of Software Development for Global Software Development Vendors.”

Systematic mapping study on security approaches in secure software engineering

  • Authors: RA Khan, SU Khan, HU Khan, M Ilyas
  • Journal: IEEE Access
  • Volume: 9
  • Pages: 19139-19160
  • Year: 2021
  • Cited By: 47

An Evaluation Framework for Communication and Coordination Processes in Offshore Software Development Outsourcing Relationship: Using Fuzzy Methods

  • Authors: K Rafiq, Ahmad, I Mohd, Yazid, K Siffat, Ullah, I Muhammad, A Sikandar, …
  • Journal: IEEE Access
  • Volume: 7
  • Pages: 112879 – 112906
  • Year: 2019
  • Cited By: 31

A Preliminary Structure of Software Security Assurance Model

  • Authors: K Rafiq, Ahmad, K Siffat, Ullah
  • Conference: 13th International Conference on Global Software Engineering
  • Pages: 137-140
  • Year: 2018
  • Cited By: 26

Systematic Literature Review on Security Risks and its Practices in Secure Software Development

  • Authors: RA Khan, SU Khan, HU Khan, M Ilyas
  • Journal: IEEE Access
  • Volume: 10
  • Pages: 5456-5481
  • Year: 2022
  • Cited By: 25

Communication and Coordination Challenges Mitigation in Offshore Software Development Outsourcing Relationships: Findings from Systematic Literature Review

  • Authors: K Rafiq, Ahmad, K Siffat, Ullah, N Mahmood
  • Conference: ICSEA 2015 : The Tenth International Conference on Software Engineering

Author Metrics:

  • verall Citations:
    • Total Citations: 250
    • h-index: 10
    • i10-index: 10
  • Citations Since 2018:
    • Citations from 2018 onwards: 226
    • h-index since 2018: 9
    • i10-index since 2018: 9

Research Timeline:

  • 2012: Started research experience.
  • 2015: Completed M.Phil. with a thesis on Communication and Coordination Challenges in Offshore Software Development Outsourcing.
  • 2017-2022: Completed Ph.D. with a focus on Security Assurance in Global Software Development.

S. A Edalatpanah | fuzzy sets

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🌟Congratulations to Dr. S. A Edalatpanah, Heartfelt Congratulations on Achieving the Best Researcher Award! 🌟

  • Dr. S. A Edalatpanah, Ayandegan Institute of Higher Education, Tonekabon, Iran: Leading Researcher in fuzzy sets

It is with immense joy and pride that we extend our warmest congratulations to you for being honored with the Best Researcher Award!  by ScienceFather This remarkable achievement is a testament to your unwavering dedication, outstanding contributions, and relentless pursuit of excellence in the field of fuzzy sets.

Your commitment to advancing knowledge and pushing the boundaries of research has not only garnered well-deserved recognition but has also inspired your peers and future generations of researchers.  Your exceptional work reflects not only your expertise but also your passion for making a meaningful impact in fuzzy sets.

This award is a true reflection of your tireless efforts, countless hours of hard work, and the significant contributions you have made to the academic and research community.  Your ability to delve into the complexities of [mention the area of research] has not only expanded the horizons of our understanding but has also set a high standard for excellence.

As you bask in the glory of this well-deserved accolade, please know that your achievements are celebrated not only by us but by the entire community that values and respects the spirit of inquiry and discovery.

May this recognition be the beginning of even greater accomplishments and may your passion for research continue to illuminate the path for others. Once again, congratulations on this outstanding achievement!

Professional Profiles:
Bio Summary:

S.A. Edalatpanah is a distinguished mathematician and researcher with a focus on applied mathematics, computational intelligence, and decision support systems. Holding a Ph.D. in Applied Mathematics, he has contributed significantly to the field, serving in leadership roles and actively participating in research, teaching, and mentoring. As the Vice President of Research & Development at Ayandegan Institute of Higher Education, Iran, he continues to shape the academic landscape and advance knowledge in various mathematical disciplines. Recognized globally, he has received prestigious honors and awards, solidifying his position as a top scientist.

Education:
  • B.Sc in Applied Mathematics, University of Khayyam of Mashhad, Mashhad, Iran (2006)
  • M.Sc in Applied Mathematics, Islamic Azad University of Lahijan, Iran (2009)
  • Ph.D in Applied Mathematics, University of Guilan, Iran (2014)
Research Focus:
  • Mathematical Programming
  • Operational Research
  • Numerical Modeling
  • Strategic Analytics
  • Decision Support Systems
  • Construction Management
  • Uncertainty Theories
  • Soft Computing
  • Multi-Criteria Decision-Making Problems
  • Computational Intelligence
  • Sustainability
  • Neuro-Fuzzy Systems
  • Fuzzy, Rough, and Intuitionistic Fuzzy Set Theory
  • Neutrosophic Theory
Professional Journey:
  • Vice President Research & Development, Ayandegan Institute of Higher Education, Iran
  • Chief of the Department of Research Center at Ayandegan Institute of Higher Education, Iran (2015-present)
  • Editorial roles for numerous international journals
  • Teaching various undergraduate and postgraduate courses
  • Supervision of MA, M.Sc, and PhD theses
  • Extensive involvement in research projects
Honors & Awards:
  • World’s Top 2% Scientists-2023, 2022, 2021 (Acknowledged by Elsevier and Stanford University, United States)
Publications & Contributions:
  1. Publication Metrics:
    • Total Documents: 119
    • Total Citations: 1,598
    • h-index: 24
  2. Recent Publications:
    • Federated learning optimization: A computational blockchain process with offloading analysis to enhance security
      • Authors: Shitharth, S., Manoharan, H., Shankar, A., Edalatpanah, S.A., Viriyasitavat, W.
      • Journal: Egyptian Informatics Journal, 2023, 24(4), 100406
      • Citations: 0
    • A Linearization to the Multi-objective Linear Plus Linear Fractional Program
      • Authors: Borza, M., Rambely, A.S., Edalatpanah, S.A.
      • Journal: Operations Research Forum, 2023, 4(4), 82
      • Citations: 0
    • A novel approach based on neutrosophic Bonferroni mean operator of trapezoidal and triangular neutrosophic interval environments in multi-attribute group decision making
      • Authors: Nagarajan, D., Kanchana, A., Jacob, K., Edalatpanah, S.A., Shah, M.A.
      • Journal: Scientific Reports, 2023, 13(1), 10455
      • Citations: 4
    • PRESENTING A PRODUCTIVITY ANALYSIS MODEL FOR IRAN OIL INDUSTRIES USING MALMQUIST NETWORK ANALYSIS
      • Authors: Bazargan, A., Najafi, S.E., Lotfi, F.H., Fallah, M., Edalatpanah, S.A.
      • Journal: Decision Making: Applications in Management and Engineering, 2023, 6(2), pp. 251–292
      • Citations: 3
    • Solving the Problem of Reducing the Audiences’ Favor toward an Educational Institution by Using a Combination of Hard and Soft Operations Research Approaches
      • Authors: Xu, W., Edalatpanah, S.A., Sorourkhah, A.
      • Journal: Mathematics, 2023, 11(18), 3815
      • Citations: 1
    • A hybrid decision-making framework under 2-tuple linguistic complex q-rung orthopair fuzzy Hamy mean aggregation operators
      • Authors: Akram, M., Naz, S., Edalatpanah, S.A., Samreen, S.
      • Journal: Computational and Applied Mathematics, 2023, 42(3), 118
      • Citations: 3
    • Guest editorial: Preface to the special issue on the neutrosophical approach: applications in management decision and organizational research methods
      • Authors: Edalatpanah, S.A., Smarandache, F., Garg, H.
      • Journal: Management Decision, 2023, 61(2), pp. 357–362
      • Citations: 2
    • An Integrated Fuzzy Structured Methodology for Performance Evaluation of High Schools in a Group Decision-Making Problem
      • Authors: Li, P., Edalatpanah, S.A., Sorourkhah, A., Yaman, S., Kausar, N.
      • Journal: Systems, 2023, 11(3), 159
      • Citations: 5
    • Preface to the special issue on numerical simulations and optimization under uncertainty
      • Authors: Edalatpanah, S.A., Pamučar, D., Zhang, L.-T.
      • Journal: Advances in Mechanical Engineering, 2023, 15(3)
      • Citations: 1
    • Simplifying the Complexity in the Problem of Choosing the Best Private-Sector Partner
      • Authors: Qiu, P., Sorourkhah, A., Kausar, N., Cagin, T., Edalatpanah, S.A.
      • Journal: Systems, 2023, 11(2), 80
Research Timeline:
  1. Undergraduate Studies: B.Sc in Applied Mathematics (2006)
  2. Graduate Studies: M.Sc in Applied Mathematics (2009)
  3. Doctoral Studies: Ph.D in Applied Mathematics (2014)
  4. Vice President Research & Development, Ayandegan Institute of Higher Education, Iran (Current Position)
  5. Chief of the Department of Research Center, Ayandegan Institute of Higher Education (2015-present)