Prof Dr. Debasish Acharjee | Network Protocol | Best Researcher Award

Prof Dr. Debasish Acharjee | Network Protocols | Best Researcher Award

Prof Dr. Debasish Acharjee, Bangabandhu Sheikh Mujibur Rahman Agricultural University, Bangladesh

🌾 Dr. Debasish Acharjee, an Associate Professor in the Department of Agribusiness at Bangabandhu Sheikh Mujibur Rahman Agricultural University (BSMARU), holds a Ph.D. from Bangladesh Agricultural University, Mymensingh. πŸŽ“ As an agricultural economist, his research focuses on supply and value chains, price transmission asymmetry, and marketing of agricultural products. πŸ“Š With a commendable track record, Dr. Acharjee has authored 20 papers in national and international journals, with eleven having an impact factor.

πŸ’‘ He has successfully led two projects funded by the University Grants Commission (UGC) and Research Management Committee (RMC), BSMRAU. 🌱 Currently, he serves as the principal investigator for a research project funded by the Research Management Committee, BSMRAU, and Krishi Gobeshona Foundation (KGF). 🀝 Dr. Acharjee is a life member of Krishibid Institution Bangladesh (KIB) and Bangladesh Association of Advancement of Science (BAAS). He serves as the organizing secretary of the Bangladesh Agriculturist Economics Association and has recently been elected as the General Secretary of the Bangabandhu Sheikh Mujibur Rahman Agricultural University Teachers Association. πŸ‘¨β€πŸ«

πŸŽ“Β Education :

Dr. Debasish Acharjee’s academic journey is a testament to his dedication and excellence. πŸŽ“ He began his educational odyssey with a stellar performance in the S.S.C examination under the Dhaka Board in 1996, securing a remarkable First Division. πŸ₯‡ Continuing his academic stride, he achieved another First Division in the H.S.C examination in 1998, showcasing his consistent brilliance. πŸ†

Undertaking a profound interest in agricultural economics, Dr. Acharjee pursued a B.Sc.Ag.Econ (Hons.) at Bangladesh Agricultural University, Mymensingh. Over four years of rigorous study, he not only demonstrated a deep understanding of the subject but also graduated with flying colors in 2004, earning yet another prestigious First Division. 🌱 His academic journey reflects a commitment to excellence and a passion for knowledge in the realm of agricultural economics. πŸ‘¨β€πŸŽ“

🌐 Professional Profiles : 

Google Scholar

Scopus

ORCID

🧠 Research Interests πŸ”¬πŸŒ :

Dr. Debasish Acharjee’s research interests span a diverse range of fields, reflecting his multidimensional expertise and passion for innovation. πŸŒΎπŸ”„ His focus on Agribusiness delves into the intricacies of agricultural operations and market dynamics, aiming to enhance efficiency and sustainability in the agri-sector. πŸŒ±πŸ’Ό The intricacies of supply chain and value chain management are at the core of his research, exploring ways to optimize processes and create value from farm to market. πŸššπŸ’Ή

In a fascinating blend of agribusiness and technology, Dr. Acharjee also delves into network protocols, recognizing the pivotal role of technology in modernizing agricultural practices. 🌐🌾 His multifaceted research endeavors underscore his commitment to driving positive change in agribusiness through a comprehensive understanding of supply chains, value chains, and the integration of cutting-edge technology. πŸ€πŸ”

πŸ“šΒ Publication Impact and Citations :Β 

Scopus Metrics :

  • πŸ“Β Publications: 9 documents indexed in Scopus.
  • πŸ“ŠΒ Citations: A total of 33 citations for his publications, reflecting the widespread impact and recognition of Dr. Debasish Acharjee’s research within the academic community.

Google Scholar Metrics:

  • All Time:
    • Citations: 87 πŸ“–
    • h-index: 5 πŸ“Š
    • i10-index: 3 πŸ”
  • Since 2018:
    • Citations: 86 πŸ“–
    • h-index: 5 πŸ“Š
    • i10-index: 3 πŸ”

πŸ‘¨β€πŸ« A prolific researcher with significant impact and contributions in the field, as evidenced by citation metrics. πŸŒπŸ”¬

Publications ( Top Note ) :

1.Β  Empowering women through microcredit in Bangladesh: An empirical study

(2019) – Published in the International Journal of Financial Studies; Cited by 32.

2.Β  Post-harvest fish loss in the fish value chain and the determinants: empirical evidence from Bangladesh

(2021) – Published in Aquaculture International; Cited by 16.

3.Β  Assessing the Economic Impacts of COVID-19 on the Aquaculture and Fisheries Sectors in Relation to Food Security: A Critical Review

(2022) – Published in Sustainability; Cited by 11.

4.Β  A study to assess the socio-economic status of tea workers in selected tea estates of Sylhet district

(2017) – Published in the Journal of the Bangladesh Agricultural University; Cited by 6.

5.Β  Intensity of adoption and welfare impacts of drought-tolerant rice varieties cultivation in Bangladesh

(2022) – Published in Heliyon; Cited by 5.

6.Β  Impact of off-season summer tomato cultivation on income and food security of the growers

(2020) – Published in Agricultural Economics; Cited by 5.

7.Β  Modelling and forecasting of tea production, consumption and export in Bangladesh

(2022) – Published in Current Applied Science and Technology; Cited by 3.

8.Β  Fish value chain and the determinants of value addition decision: Empirical evidence from Bangladesh

(2023) – Published in the Journal of the World Aquaculture Society; Cited by 2.

9.Β  Status of price variations of fish, livestock and poultry products: a case study in Gazipur district of Bangladesh

(2020) – Published in Annals of Bangladesh Agriculture; Cited by 2.

10.Β  Financial profitability of vermicompost in Fulbaria Upazila of Mymensingh district

(2017) – Published in the Journal of Agriculture and Veterinary Science; Cited by 2.

 

 

 

 

 

 

 

Mr. Alessandro Ottino | Cloud Networking

Mr. Alessandro Ottino : Leading Researcher in Cloud Networking

Mr. Alessandro Ottino, University College London, United Kingdom

πŸŽ“ Mr. Alessandro Ottino, Currently pursuing a Microsoft-funded Ph.D. at University College London (UCL) in optical systems and technologies for distributed deep learning. Focused on developing innovative optical topologies and technologies to enable effective training of large-scale deep neural networks with over 1 trillion parameters across thousands of accelerators in data centers.

πŸ’Ό Previously worked as a Post-graduate Teaching Assistant (PGTA) at UCL’s Electrical and Electronic Engineering (EEE) department from January to March 2020-2021. Engaged in teaching undergraduate modules in digital design (FPGA and embedded systems programming), Java, Object-Oriented Programming, and served as a guest lecturer in “Networks and Technologies for Distributed Deep Learning (DDL)” for the “Cloud and Edge Computing” MSc course.

πŸ’» Proficient in various software tools including Vivado, Quartus, Modelsim, Multisim, Lumerical, Alteryx, Tableau, and the Microsoft Office Suite. Passionate about pushing the boundaries of optical systems to enhance the capabilities of deep learning in distributed environments. πŸŒπŸ”¬

Professional Profiles : 🌐

Scopus

Linkedin

Google Scholar

πŸ† Awards :Β 

πŸ† In March 2020, He was honored with the IEEE Best Undergraduate Project in Telecommunications for showcasing excellence and innovation in the field. This recognition underscored her dedication to pushing the boundaries of technology.

πŸŽ“ August 2019 brought the prestigious Dean’s List acknowledgment for outstanding academic achievements in the Electrical and Electronic Engineering (EEE) department at UCL. This recognition reflected her commitment to academic excellence and contributions to the field.

πŸ… In May 2019, He was awarded the First Cullen Prize for the Best Undergraduate Project in the EEE department at UCL. The project, focusing on “Artificial Intelligence Techniques for FPGA-Driven Interconnects,” highlighted her proficiency in integrating AI with hardware solutions.

πŸ”Β Research Focus:

🌐 Distributed Systems

🌍 Optical Networks

πŸ”¬ Machine Learning

πŸ“šΒ Publication Impact and Citations :Β 

Scopus Metrics:

  • πŸ“Β Publications: 12 documents indexed in Scopus.
  • πŸ“ŠΒ Citations: A total of 19 citations for his publications, reflecting the widespread impact and recognition of Mr. Alessandro Ottino’s research within the academic community.

Google Scholar Metrics:

  • All Time:
    • Citations: 44 πŸ“–
    • h-index: 4 πŸ“Š
    • i10-index: 1 πŸ”
  • Since 2018:
    • Citations: 44 πŸ“–
    • h-index: 4 πŸ“Š
    • i10-index: 4 πŸ”

πŸ‘¨β€πŸ« A prolific researcher with significant impact and contributions in the field, as evidenced by citation metrics. πŸŒπŸ”¬

Publications ( Top Note ) :

1.Β  Time-domain learned digital back-propagation

Journal/Conference: 2020 IEEE Workshop on Signal Processing Systems (SiPS)

Published Year: 2020, Cited By: 10

2.Β  Optimization of 125-m Heterogeneous Multi-Core Fibre Design Using Artificial Intelligence

Journal/Conference: IEEE Journal of Selected Topics in Quantum Electronics

Published Year: 2021, Cited By: 8

3.Β  Traffic tolerance of nanosecond scheduling on optical circuit switched data center network

Journal/Conference: 2022 Optical Fiber Communications Conference and Exhibition (OFC)

Published Year:2022,Β  Cited By: 6

4.Β  Design optimization of uncoupled six-core fibers in standard cladding diameter using artificial intelligence

Journal/Conference: Optical Fiber Communication Conference

Published Year: 2021, Cited By: 4

5.Β  RAMP: a flat nanosecond optical network and MPI operations for distributed deep learning systems

Journal/Conference: Optical Switching and Networking

Published Year: 2024,Cited By: 3

6.Β  Design and transmission analysis of trench-assisted multi-core fibre in standard cladding diameter

Journal/Conference: Optics Express

Published Year: 2022,Cited By: 3

7.Β  Experimental demonstration of learned time-domain digital back-propagation

Journal/Conference: arXiv preprint arXiv:1912.12197

Published Year: 2019,Cited By: 3

8.Β  Optimal and Low Complexity Control of SOA-Based Optical Switching with Particle Swarm Optimisation

Journal/Conference: European Conference and Exhibition on Optical Communication

Published Year: 2022,Cited By: 2

9.Β  Experimental Analysis on Variations and Accuracy of Crosstalk in Trench-Assisted Multi-core Fibers

Journal/Conference: arXiv preprint arXiv:2008.08034

Published Year: 2020,Cited By: 2

10.Β  Genetic algorithm optimization of multi-core fibre transmission links based on silicon photonic transceivers

Journal/Conference: 2019 Optical Fiber Communications Conference and Exhibition (OFC)

Published Year: 2019, Cited By: 2