Parijata Majumdar | Metaheuristics | Best Researcher Award

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Dr. Parijata Majumdar | Metaheuristics | Best Researcher Award

Assistant Professor at Indian Institute of Information Technology Agartala, India📖

Dr. Parijata Majumdar is an accomplished academic and researcher with expertise in Artificial Intelligence, Machine Learning, IoT, Precision Agriculture, and Blockchain Technology. She holds a Ph.D. in Computer Science and Engineering from NIT Agartala (2023), where she developed AI approaches for precision agriculture. Currently, she serves as an Assistant Professor at the Indian Institute of Information Technology, Agartala, and an Associate Professor at Techno College of Engineering Agartala. Her work includes a postdoctoral collaboration on metaheuristic algorithms with Prof. Diego Alberto Oliva Navarro, University of Guadalajara, Mexico. Dr. Majumdar has received numerous accolades, including the EARG Award 2024 for Excellence in Research and Development, and has published significant contributions in journals indexed by Scopus and ISI Thomson Reuters.

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🎓 EDUCATION & EXPERIENCE

Dr. Parijata Majumdar is a distinguished academic and researcher in the field of Computer Science and Engineering. Her educational journey reflects a consistent record of excellence, beginning with her Madhyamik from the Tripura Board of Secondary Education in 2010, followed by a Diploma in Computer Science in Technology in 2013. She earned her B.E. in Computer Science and Engineering in 2016 and then an M.Tech in the same discipline from Tripura University in 2018, graduating as a Gold Medalist. She completed her Ph.D. in October 2023 from NIT Agartala, with a thesis focused on AI approaches for precision agriculture. Professionally, she has served as an Assistant Professor at Techno College of Engineering Agartala (TCEA) since 2018, was promoted to Associate Professor in 2023, and began serving as an Assistant Professor at IIIT Agartala in August 2024. Her responsibilities span admissions, placements, social media management, academic sections, and research guidance, showcasing a well-rounded experience in academic leadership and development.

✅ SUITABILITY SUMMARY

Dr. Majumdar’s background positions her as a valuable contributor in domains intersecting education, research, and real-world technological application. With a specialization in AI, IoT, and agriculture, she has worked on projects involving automated irrigation systems, disease detection in crops, and data-driven agriculture analytics. She is equally experienced in teaching and mentoring, has led departmental initiatives, and played an active role in academic coordination and student outreach. Her presence in both academia and applied research environments, combined with a strong publication and patent record, marks her as exceptionally suited for roles in R&D, higher education leadership, and interdisciplinary innovation projects.

🌍 PROFESSIONAL DEVELOPMENT

Dr. Parijata Majumdar is deeply committed to professional growth through lifelong learning. She has participated in numerous FDPs, workshops, and MOOCs offered by leading institutions like NPTEL (IIT Madras), AICTE-ATAL Academy, GIAN, TEQIP, and several national engineering colleges. Some of the key topics she has engaged with include Computational Intelligence, IoT Ecosystem Security, Contrast Enhancement, Python Programming, and Research Pedagogy in AI/ML. Her participation also extends to workshops planned in VIT-AP, Budge Budge Institute of Technology, and IIIT Dharwad. This extensive professional development activity emphasizes her proactive approach to staying updated with evolving technological trends and teaching methodologies.

🔬RESEARCH FOCUS

Dr. Majumdar’s core research revolves around Machine Learning, Optimization Techniques, Internet of Things (IoT), Green IoT (GIoT), Precision Agriculture, Image Processing, Pattern Recognition, and Blockchain Technology. Her doctoral work explored AI-based frameworks for smart agricultural systems. Her notable collaborations include projects with Prof. Diego Alberto Oliva Navarro (University of Guadalajara, Mexico) and Prof. Debashis De (MAKAUT, West Bengal). She has filed and published two Indian patents—one on automated crop irrigation systems and another on a CNN-based model for early crop disease detection. She has served as a reviewer and editorial board member for numerous reputed journals including Elsevier, IEEE, Hindawi, and Springer, actively contributing to the global research community.

🏆 HONORS & AWARDS

Dr. Parijata Majumdar has received several prestigious recognitions that highlight her academic and professional excellence. She was awarded the EARG Awards 2024 for Excellence in Research and Development. A Gold Medalist in her postgraduate studies, she is also a published patent holder in the domain of AI-powered agriculture. Her thought leadership is widely acknowledged through her role as a Distinguished Speaker at global conferences in Amsterdam, Barcelona, and Mauritius. Additionally, she has served as a session chair, keynote speaker, expert reviewer, and editorial board member across a range of national and international platforms. These accolades affirm her impact as a trailblazer in technology-driven education and research.

 📚 TOP NOTES PUBLICATIONS

1. IoT for Promoting Agriculture 4.0: A Review from the Perspective of Weather Monitoring, Yield Prediction, Security of WSN Protocols, and Hardware Cost Analysis

  • Authors: P. Majumdar, S. Mitra, D. Bhattacharya
  • Journal: Journal of Biosystems Engineering
  • Volume/Issue: 46(4)
  • Pages: 440-461
  • Year: 2021
  • Citations: 30

2. Application of Green IoT in Agriculture 4.0 and Beyond: Requirements, Challenges, and Research Trends in the Era of 5G, LPWANs, and Internet of UAV Things

  • Authors: P. Majumdar, D. Bhattacharya, S. Mitra, B. Bhushan
  • Journal: Wireless Personal Communications
  • Volume/Issue: 131(3)
  • Pages: 1767-1816
  • Year: 2023
  • Citations: 26

3. Demand Prediction of Rice Growth Stage-Wise Irrigation Water Requirement and Fertilizer Using Bayesian Genetic Algorithm and Random Forest for Yield Enhancement

  • Authors: P. Majumdar, D. Bhattacharya, S. Mitra, R. Solgi, D. Oliva, B. Bhusan
  • Journal: Paddy and Water Environment
  • Volume/Issue: 21(2)
  • Pages: 275-293
  • Year: 2023
  • Citations: 15

4. Honey Badger Algorithm Using Lens Opposition-Based Learning and Local Search Algorithm

  • Authors: P. Majumdar, S. Mitra, D. Bhattacharya
  • Journal: Evolving Systems
  • Volume/Issue: 15(2)
  • Pages: 335-360
  • Year: 2024
  • Citations: 12

5. IoT and Machine Learning-Based Approaches for Real-Time Environment Parameters Monitoring in Agriculture: An Empirical Review

  • Authors: P. Majumdar, S. Mitra
  • Book Chapter: Agricultural Informatics: Automation Using the IoT and Machine Learning
  • Pages: 89-115
  • Year: 2021
  • Citations: 11

Guangyi Liu | Optimization Techniques | Best Innovation Award

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Dr. Guangyi Liu | Optimization Techniques | Best Innovation Award

China Mobile Research Institute, China

Author Profile

Google Scholar

Early Academic Pursuits 📚

Dr. Guangyi Liu began his academic journey with a strong foundation in telecommunications and wireless technology. His passion for advanced communication systems led him to pursue higher education and research in the field. He earned a deep understanding of network engineering, which provided the base for his later contributions to 4G, 5G, and 6G technologies. His early academic pursuits were instrumental in shaping his expertise in the future of mobile communications, laying the groundwork for his later professional endeavors and contributions to global standardization.

Professional Endeavors 💼

Dr. Liu’s professional journey spans over two decades, during which he has held key leadership roles in China Mobile Communication Corporation (CMCC). Since 2018, he has been spearheading the 6G research and development efforts for CMCC, demonstrating his commitment to the next generation of wireless technology. He has also contributed significantly to the global telecommunications industry, as evident from his roles as the co-chair of the 6G Alliance of Network AI (6GANA), a board member of the Next Generation Mobile Networks (NGMN) alliance, and vice chair of the THz Industry Alliance in China. His expertise in leading large-scale industrialization projects, particularly in 4G and 5G technologies, has had a profound impact on the wireless technology landscape.

Contributions and Research Focus 🔬

Dr. Liu’s contributions to telecommunications are wide-ranging, from research and standardization to industrialization and commercialization of advanced mobile technologies. His primary research focus includes 6G network development, spectrum management, wireless communication systems, and AI integration into mobile networks. Dr. Liu’s work in the evolution of TD-LTE and the industrialization of 5G technologies has been particularly groundbreaking. Under his leadership, CMCC has made significant strides in the global standardization of 5G eMBB and the global adoption of TD-LTE. His contributions have influenced the development of cutting-edge technologies that are shaping the future of communication.

Impact and Influence 🌍

Dr. Liu’s impact on the telecommunications sector is immense. He has played a pivotal role in the research, standardization, and global deployment of critical mobile communication technologies. His leadership in the industrialization of 4G, 5G, and now 6G has not only advanced technology but also driven global collaborations between telecommunications companies, governments, and standardization bodies. As a key figure in the global 6G initiative, his work continues to influence the strategic direction of mobile communication technologies, ensuring the future of connectivity is faster, more efficient, and seamlessly integrated with artificial intelligence.

Academic Citations 📑

With over 200 published papers and more than 500 patents, Dr. Liu is a highly respected thought leader in the field of telecommunications. His research contributions have been widely cited by academics, engineers, and industry leaders, highlighting the significant impact of his work on both theoretical advancements and practical applications in mobile networks. His technical expertise and pioneering research continue to be a valuable resource for those studying and developing the next generation of communication technologies.

Technical Skills 🛠️

Dr. Liu’s technical expertise spans a broad array of fields, including wireless communications, mobile network architecture, spectrum management, and advanced technologies such as AI and THz communication. His deep knowledge of network standardization, along with his hands-on experience in the implementation of mobile technologies, has made him an industry leader. His skills in driving large-scale R&D projects and influencing global mobile network strategies have positioned him as a trusted expert in the field of next-generation wireless technologies.

Teaching Experience 👨‍🏫

his professional contributions, Dr. Liu has also shared his knowledge and expertise with the next generation of engineers and researchers. Although not primarily an academic educator, his involvement in industry collaborations and standardization working groups has provided a platform for him to mentor and guide numerous professionals in the field. Through his leadership roles in various international organizations, he has contributed to the growth and development of future experts in wireless communications.

Legacy and Future Contributions 🌟

Dr. Liu’s legacy in the telecommunications industry is defined by his relentless pursuit of innovation and excellence. His work on 6G is positioning him as a key figure in shaping the next frontier of communication technology. As he continues to lead the research and development of 6G at CMCC, his contributions will likely serve as a cornerstone for the future of wireless connectivity. Dr. Liu’s ongoing commitment to pushing the boundaries of technology and his dedication to industry collaboration will ensure that his influence on the telecommunications sector will continue for years to come.

Honors and Recognition 🏆

Dr. Liu’s contributions have not gone unnoticed, as he has received numerous accolades, including the prestigious “National Innovation Award in Science and Technology” from the Chinese government in 2016 for his global contributions to TD-LTE standardization and industrialization. Additionally, he has earned multiple “Excellent Patent Awards” from the Chinese Intellectual Property Office in 2009, 2013, and 2017, further acknowledging his groundbreaking innovations. These honors reflect the profound impact of his work on both the Chinese and global telecommunications industries.

Top Noted Publications 📖

5G 3GPP-like channel models for outdoor urban microcellular and macrocellular environments

Authors: K. Haneda, J. Zhang, L. Tan, G. Liu, Y. Zheng, H. Asplund, J. Li, Y. Wang, …

Journal: IEEE 83rd Vehicular Technology Conference (VTC Spring)

Year: 2016

Vision, requirements and network architecture of 6G mobile network beyond 2030

Authors: G. Liu, Y. Huang, N. Li, J. Dong, J. Jin, Q. Wang, N. Li

Journal: China Communications

Year: 2020

LTE-advanced: an operator perspective

Authors: P. Bhat, S. Nagata, L. Campoy, I. Berberana, T. Derham, G. Liu, X. Shen, …

Journal: IEEE Communications Magazine

Year: 2012

5G: Vision and requirements for mobile communication system towards year 2020

Authors: G. Liu, D. Jiang

Journal: Chinese Journal of Engineering

Year: 2016

Communicating in the real world: 3D MIMO

Authors: X. Cheng, B. Yu, L. Yang, J. Zhang, G. Liu, Y. Wu, L. Wan

Journal: IEEE Wireless Communications

Year: 2014

Three-dimensional fading channel models: A survey of elevation angle research

Authors: J. Zhang, C. Pan, F. Pei, G. Liu, X. Cheng

Journal: IEEE Communications Magazine

Year: 2014

5G deployment: Standalone vs. non-standalone from the operator perspective

Authors: G. Liu, Y. Huang, Z. Chen, L. Liu, Q. Wang, N. Li

Journal: IEEE Communications Magazine

Year: 2020

Koffi Wilfrid Houedanou | Optimization Techniques | Best Scholar Award

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Prof. Koffi Wilfrid Houedanou | Optimization Techniques | Best Scholar Award

Prof. Koffi Wilfrid Houedanou at University Of Abomey-calavi, Faculty Of Sciences And Technology, Benin

 Profile👨‍🎓

Biography of Prof. Koffi Wilfrid Houedanou 🎓

Education 📚

Prof. Houedanou’s academic journey began with a Certificat d’Étude Primaire (CEP) in 1998, followed by a Breuvet d’Étude du Premier Cycle (BEPC) in 2001. He completed his Baccalauréat, Série C in 2005, then obtained both a Licence and Master in Mathematics from FAST/UAC, Benin in 2009. His advanced studies culminated in a Diplôme d’Étude Approfondie (DEA) in 2012 and a Unique Doctorate in Mathematics with a specialization in Analysis in 2015, under the guidance of renowned advisors.

Current Positions 🏫

Since October 2016, he has served as a Lecturer-Researcher at the Faculty of Sciences and Techniques (FAST) of the University of Abomey-Calavi (UAC), Benin. He has held the role of Pedagogical Coordinator for the Professional Bachelor’s Degree in Teaching Mathematics-Computer Science since January 2021. In January 2023, he became the Vice-President of the Association des Professeurs de Mathématiques du Bénin (APMB). In 2023, he attained the rank of Maître de Conférences with the African and Malagasy Council for Higher Education (CAMES).

Research Areas 🔍

Prof. Houedanou’s research focuses on Mathematics, particularly in the fields of Partial Differential Equations (PDE) and Numerical Analysis. His key areas of interest include Isogeometric Finite Element Methods for PDEs, Optimal Control Problems, Transmission Problems Analysis, and A-priori and A-posteriori Error Analysis of PDEs.

Conferences and Schools 🌍

He has actively participated in various conferences and schools, including the GIRAGA School in 2012 at IMSP, where he presented his work. He attended a school on Numerical Methods in Senegal in 2013, a conference in India on Discrete Integral Systems in 2014, and a colloquium in Paris, also presenting his findings.

Scientific Experience 🧪

Prof. Houedanou engaged in a three-month scientific stay at the Mathematics and Applications Laboratory in Valenciennes, France, in 2014 and conducted a research visit to South Africa from January to March 2017.

Awards 🏆

He was honored as the laureate of the Ibni Oumar Mahamat Saleh Prize in Mathematics in 2013, awarded by esteemed scientific societies in France.

Professional Experience 💼

His professional experience includes serving as an Honorary Mathematics Teacher in secondary schools from 2009 to 2014 and being a member of various sub-commissions for Baccalauréat and BTS corrections in Benin. He has held teaching positions at UAC and IMSP, focusing on Algebra and Analysis, and is responsible for courses in Partial Differential Equations and Weighted Residue Methods for Master’s students.

Digital Education Training 💻

Prof. Houedanou has also participated in training in Digital Education in partnership with the École Polytechnique Fédérale de Lausanne (EPFL), Switzerland.

Top Noted Publications 📖 
Article: Anisotropic error estimator for the Stokes-Biot system
  • Author: Houédanou Koffi Wilfrid
    Journal: Partial Differential Equations in Applied Mathematics
    Year: 2024
Article: A Posteriori Error Estimates for a Nonconforming Finite Element Discretization of the Stokes–Biot System
  • Authors: Koffi Wilfrid Houédanou; Maria Alessandra Ragusa
    Journal: Discrete Dynamics in Nature and Society
    Year: 2022
Article: Error Estimation of Euler Method for the Instationary Stokes–Biot Coupled Problem
  • Authors: Koffi Wilfrid Houédanou; Jamal Adetola; M. M. Bhatti
    Journal: Journal of Mathematics
    Year: 2021
Article: A Posteriori Error Analysis for a Lagrange Multiplier Method for a Stokes/Biot Fluid-Poroelastic Structure Interaction Model
  • Authors: Houédanou Koffi Wilfrid; Wei-Shih Du
    Journal: Abstract and Applied Analysis
    Year: 2021
Article: A Posteriori Error Analysis for a New Fully Mixed Isotropic Discretization of the Stationary Stokes-Darcy Coupled Problem
  • Authors: Houédanou Koffi Wilfrid; Adetola Jamal; Allaoui Mohamed; Alberto Fiorenza
    Journal: Abstract and Applied Analysis
    Year: 2020

Hanh Nguyen | Optimization Techniques | Women Researcher Award

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Dr. Hanh Nguyen | Optimization Techniques | Women Researcher Award

Doctorate at Phenikaa University, Vietnam

👨‍🎓 Profiles

🎓Academic Background

Dr. Hanh Nguyen Thi is a prominent figure in Computer Science, in Hanoi, Vietnam. She holds a PhD in Computer Science from the School of Information and Communication Technology at Hanoi University of Science and Technology (2016–2019). Her research focused on “Coverage and Connectivity Optimization in Wireless Sensor Networks,” under the guidance of Associate Professor Huynh Thi Thanh Binh. She earned her Master’s in Information Systems from the Military Technical Institute in Hanoi (2008–2010), with a thesis on a nearly linear algorithm for shortest path finding. Her journey began with a Bachelor’s in Software Engineering from Phuong Dong University, where she graduated with distinction and was ranked first in her department (2001–2006).

💼 Professional Experience

Dr. Hanh Nguyen This has been a dedicated Lecturer at Phuong Dong University since 2006 and currently serves as the Head of the Multimedia Communication Department. She has made significant contributions through her roles as an Exchange PhD Student at KLab, National Institute of Informatics in Tokyo, Japan (2017), and at the Wireless Mobile Internet and Service Lab, Korea Advanced Institute of Science and Technology (KAIST), Korea (2019). Her leadership extends to managing the establishment of the Multimedia Major and Digital Marketing Specialization at her university. Additionally, she completed a postdoctoral fellowship at the Vietnam National Foundation for Science and Technology Development (NAFOSTED) from 2020 to 2021.

🏅 Honors and Awards

Dr. Thi’s excellence has been recognized through numerous awards. In 2021, she supervised students who reached the final round of the Eure’ka Scientific Research Student Award. Her students also won 4th place at the National Science Research Conference for Students in 2020, an achievement she proudly guided. In 2017, her project was among the Top 10 Shortlisted at the AIYEHUM by IEEE Region 10 Humanitarian Activities Committee. Her early recognition includes being the National Female IT Student Representative in 2004.

🛠️ Skills and Expertise

Dr. Thi is proficient in programming languages such as C, C++, and Java, and has strong skills in database management with mySQL. She is adept in Systems Analysis and Design using UML and has extensive knowledge in Software Engineering, including SRS and UI/UX. Her communication skills are complemented by her ability to work effectively in teams and solve complex problems, honed through her research and leadership roles.

🔬 Research Interests

Her research interests include evolutionary techniques, wireless sensor networks, optimization algorithms, and software engineering. Dr. Thi’s work continues to influence and advance these areas, contributing to both academic knowledge and practical applications.

📖 Publications
Striking the perfect balance: Multi-objective optimization for minimizing deployment cost and maximizing coverage with Harmony Search
    • Authors: Vu, Q.T., Nguyen, P.T., Nguyen, T.H., Trinh, V.C., Gidlund, M.
    • Journal: Journal of Network and Computer Applications
    • Year: 2024
Effect of Pretreatment Methods on Juice Extraction Yield and Nutritional Composition of Cashew Apple (Anacardium Occidentale L.) Harvested from Binh Phuoc (Vietnam)
    • Authors: Hanh, N.T., Trang, N.T., Anh, N.T.M., Thuy, N.T., Long, N.V.
    • Journal: Current Research in Nutrition and Food Science
    • Year: 2024
A heuristic node placement strategy for extending network lifetime and ensuring target coverage in mobile wireless sensor networks
    • Authors: Binh, H.T.T., Hanh, N.T., Tan, N.P., Minh, N.H.N., Phap, H.C.
    • Journal: Evolutionary Intelligence
    • Year: 2024
Uav Path Planning For Backscatter-and Cache-aided Wireless Power System Under Imperfect Csi
    • Authors: Banh, T.Q.M., Trinh, V.C., Nguyen, T.H., Huynh, T.T.B.
    • Journal: ACM International Conference Proceeding Series
    • Year: 2023
Optimizing wireless sensor network lifetime through K-coverage maximization and memetic search
    • Authors: Hanh, N.T., Binh, H.T.T., Son, N.V., Trang, N.T., Lan, P.N.
    • Journal: Sustainable Computing: Informatics and Systems
    • Year: 2023

Longyue Li | Optimization Techniques | Best Researcher Award

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Prof Dr. Longyue Li | Optimization Techniques | Best Researcher Award

Prof Dr. Longyue Li at Air Force Engineering University, China

👨‍🎓 Profiles

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Dr. Longyue Li is an Associate Professor of Operations Research at Air Force Engineering University, recognized for his contributions to decision theory, intelligent algorithm design, and military logistics.

📚 Academic Background

Dr. Longyue Li serves as an Associate Professor at the Air Force Engineering University. He holds a Ph.D. in Operations Research and has an impressive academic record with over 40 published papers, 12 patents, and four academic monographs.

🎓 Education

Dr. Li earned his Ph.D. in Operations Research and completed postdoctoral research funded by the China Postdoctoral Science Foundation, further enhancing his expertise in the field.

💼 Professional Experience

With over 8 years as an Associate Professor at Air Force Engineering University, Dr. Li has significantly contributed to the field. He is also an Editorial Board Member for the Journal of Ordnance and Equipment Engineering. His professional collaborations include projects with XiDian University and Northwestern Polytechnical University.

🔍 Research Interests

Dr. Li’s research spans several key areas: Decision Theory and Methods, Intelligent Algorithm Design, Real-time Decision Support Systems, Complex Network Analysis, and Military Logistics and Operations Research.

🏆 Achievements

Dr. Li has led national projects funded by the National Natural Science Foundation of China and the China Postdoctoral Science Foundation. His work has resulted in over 40 papers in prestigious journals, 12 patents, and four academic monographs. Notably, his research has been instrumental in logistics planning and continues through ongoing university collaborations.

📖 Publications

Optimization of Predefined-Time Agent-Scheduling Strategy Based on PPO
    • Authors: Dingding Qi, Yingjun Zhao, Longyue Li, Zhanxiao Jia
    • Journal: Mathematics
    • Year: 2024
A Novel Softplus Linear Unit for Deep Convolutional Neural Networks
    • Authors: Zhao, H.; Liu, F.; Li, L.; Luo, C.
    • Journal: Applied Intelligence
    • Year: 2018
Defense Effectiveness Analysis of Multi-Mode Shooting to Multi-Type Targets
    • Authors: Li, L.; Liu, F.
    • Journal: Xitong Gongcheng Lilun yu Shijian/System Engineering Theory and Practice
    • Year: 2017
Improving Deep Convolutional Neural Networks with Mixed Maxout Units
    • Authors: Zhao, H.-Z.; Liu, F.-X.; Li, L.-Y.
    • Journal: PLoS ONE
    • Year: 2017
Improving Deep Convolutional Neural Networks with Mixed Maxout Units
    • Authors: Zhao, H.-Z.; Liu, F.-X.; Li, L.-Y.; Luo, C.
    • Journal: Tongxin Xuebao/Journal on Communications
    • Year: 2017
Differential Game Model and Solving Method for Missile Pursuit-Evasion
    • Authors: Li, L.; Liu, F.; Shi, X.; Wang, J.
    • Journal: Xitong Gongcheng Lilun yu Shijian/System Engineering Theory and Practice
    • Year: 2016