Parijata Majumdar | Metaheuristics | Best Researcher Award

Posted on by Research Data Analysis

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.

Profile

Scopus Profile

Orcid Profile

Google Scholar Profile

🎓 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

Jaimon Dennis Quadros | Optimization Techniques | Best Researcher Award

Posted on by Research Data Analysis

Dr. Jaimon Dennis Quadros | Optimization Techniques | Best Researcher Award

University of Bolton Academic Center RAK | United Arab Emirates

AUTHOR PROFILE

Scopus

Orcid

Google Scholar

CURRENT POSITION 🌟

Dr. Jaimon Dennis Quadros is currently serving as the Programme Leader (Head of Department) and Senior Lecturer in Mechanical Engineering at the University of Bolton, Ras-Al-Khaimah (RAK) campus, United Arab Emirates (UAE). He holds a leading role in shaping the curriculum, coordinating research activities, and overseeing the development of the Mechanical Engineering and MSc Engineering Management programs. His responsibilities include leadership, coordination, and fostering engagement between students and industry professionals.

EARLY ACADEMIC PURSUITS 🎓

Dr. Quadros began his academic journey with a Bachelor of Engineering (B.E.) in Mechanical Engineering from P. A. College of Engineering in Mangalore, India, where he graduated with First Class Distinction. His thesis, “Fabrication and Performance Analysis of Different Types of Solar Air Heaters,” showcased his early interest in sustainable energy solutions. He further pursued a Master of Technology (M.Tech) in Mechanical Machine Design from Sahyadri College of Engineering & Management, where he excelled with First Class Distinction. His thesis focused on “Steady-State Aerodynamic Analysis of Aircraft Wings with Constant and Varying Cross Sections.” His quest for knowledge continued with a Ph.D. in Mechanical Engineering Sciences from Visvesvaraya Technological University, India, where he investigated supersonic flows, base pressure, and CFD methodologies, under the mentorship of Dr. Sher Afghan Khan.

PROFESSIONAL ENDEAVORS 💼

Dr. Quadros’s professional career spans multiple prestigious institutions. From March 2016 to January 2021, he served as an Assistant Professor at Birla Institute of Technology (BIT) in Ras-Al-Khaimah, UAE, where he played a pivotal role in teaching and research. He then pursued postdoctoral research at Istanbul Technical University, Turkey, where he collaborated with renowned experts in the Fluids Group, advancing his expertise in fluid dynamics. In January 2022, he took on the role of Programme Leader and Senior Lecturer at the University of Bolton, marking a new phase in his academic leadership journey.

CONTRIBUTIONS AND RESEARCH FOCUS ON Optimization Techniques 🔬

Dr. Quadros’s research is centered around several cutting-edge fields in mechanical engineering. His primary research interests include manufacturing and machining of composite materials, automotive technology, mechanical vibrations, fluid mechanics, computational fluid dynamics (CFD), and experimental fluid mechanics. He is particularly known for his work on multiphase flows, bluff body aerodynamics, and base drag reduction techniques. His work also explores innovative flow control mechanisms such as active and passive flow control, contributing to fields such as automotive aerodynamics and flight mechanics. Moreover, his involvement with computational techniques, including Response Surface Methodology (RSM), Fuzzy Logic, Artificial Neural Networks (ANN), and machine learning, reflects his commitment to interdisciplinary research.

IMPACT AND INFLUENCE 🌍

Dr. Quadros has significantly impacted the academic community through his leadership in research and teaching. As Programme Leader at the University of Bolton, he has been instrumental in fostering student engagement, developing collaborative industry relationships, and promoting cutting-edge research projects. His involvement in the UAE IMechE Design Challenge and coordination of career fairs exemplifies his dedication to shaping future engineers and enhancing student-industry relations. His role in the Industry Advisory Board (IAB) at the University further solidifies his influence in bridging academia and industry. Additionally, his leadership in the ‘Research and Innovation Lab’ at BIT RAK has supported numerous students in enhancing their research skills.

ACADEMIC CITES 📚

Dr. Quadros’s academic endeavors have been well-recognized through multiple publications and research projects. His academic citations include contributions to mechanical engineering topics, particularly in aerodynamics, fluid dynamics, and computational modeling. He has collaborated with leading institutions such as Ford Otosan, Turkey, on significant projects like “Numerical Investigation and Optimization of Bubble Departure and Lift-Off Boiling Models,” which have added value to both academia and industry.

LEGACY AND FUTURE CONTRIBUTIONS 🏅

Dr. Quadros’s legacy is built upon his profound commitment to advancing mechanical engineering through education, research, and industry collaboration. His ongoing journey as a Fellow of the Higher Education Academy (FHEA) and continued pursuit of academic excellence shows his long-term vision for teaching and learning. With his upcoming plans to further expand his research in automotive technology, fluid dynamics, and the application of AI in engineering, Dr. Quadros is poised to make lasting contributions to both academia and industry. His leadership at the University of Bolton, coupled with his focus on multidisciplinary research and student mentorship, will continue to shape the future of mechanical engineering education and innovation.

IMPACT ON THE COMMUNITY 🌐

Dr. Quadros has consistently worked toward fostering community engagement through his leadership in organizing events such as career fairs and the IMechE Design Challenge. His ability to create platforms for students and professionals to interact has positively impacted not just the academic sphere, but also the wider engineering community. His ongoing efforts are geared toward creating a sustainable, innovative, and inclusive environment for future generations of engineers.

NOTABLE PUBLICATIONS  📑

Analysis of bubble departure and lift-off boiling model using computational intelligence techniques and hybrid algorithms
    • Author(s): Jaimon Dennis Quadros; Yakub Iqbal Mogul; Ümit Ağbulut; Ali Etem Gürel; Sher Afghan Khan; Mohammad Nishat Akhtar; R.D. Jilte; Mohammad Asif
    • Journal: International Journal of Thermal Sciences
    • Year: 2024
Statistical modelling of depth milling in Ti-6AL4V using abrasive water jet machining
    • Author(s): Yakub I Mogul; Jaimon D Quadros; Sher Afghan Khan; Manoj Agrawal; Indradeep Kumar; Saboor Shaik; Chanduveetil Ahamed Saleel; Ashish Saxena
    • Journal: Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering
    • Year: 2024
NEURAL NETWORK PREDICTIVE MODELS TO DETERMINE THE EFFECT OF BLOOD COMPOSITION ON THE PATIENT-SPECIFIC ANEURYSM
    • Author(s): Jaimon Dennis Quadros; Hamed Pahlavani; I. Bedii Ozdemir; Yakub Iqbal Mogul
    • Journal: Journal of Mechanics in Medicine and Biology
    • Year: 2023
Base drag estimation in suddenly expanded supersonic flows using backpropagation genetic and recurrent neural networks
    • Author(s): Jaimon D Quadros; Thalambeti Prashanth; Sher A Khan
    • Journal: Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering
    • Year: 2022
Fuzzy-based prediction for suddenly expanded axisymmetric nozzle flows with microjets
    • Author(s): Jaimon D. Quadros; Suhas P.; Sher A. Khan; Abdul Aabid; Muneer Baig; Yakub I. Mogul
    • Journal: Bulletin of the Polish Academy of Sciences Technical Sciences
    • Year: 2022