Dr. Meiling He | Network Design Award | Best Researcher Award

Dr. Meiling He | Network Design Award | Best Researcher Award

Dr. Meiling He, Jiangsu University, China

Meiling He received the Ph.D. degree in logistics engineering from Southwest Jiaotong University, Chengdu, China, in 2010. She is currently an Associate Professor at the School of Automotive and Traffic Engineering, Jiangsu University. She has published over 30 technical papers in international journals and conferences. Her current research interests include logistics system planning, transportation system optimization, and reverse logistics.

🌐 Professional Profile:

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πŸŽ“ Education & Academic Journey

Dr. Meiling He earned her Ph.D. in logistics engineering from Southwest Jiaotong University in 2010, focusing on advancing transportation and logistics systems. Her academic journey has laid a robust foundation in optimizing complex logistical frameworks.

🏒 Current Role & Affiliation

Currently serving as an Associate Professor at Jiangsu University’s School of Automotive and Traffic Engineering, Dr. He brings extensive expertise to her teaching and research endeavors. Her academic home fosters innovation in automotive and traffic engineering disciplines.

πŸ“„ Research Contributions

Dr. He has made significant contributions to the field, publishing over 30 papers in esteemed international journals and conferences. Her research spans logistics system planning, transportation system optimization, and the intricacies of reverse logistics, addressing critical challenges in modern supply chain management.

πŸ” Research Interests & Focus

Her current research interests encompass the strategic planning and optimization of logistics systems, aiming to enhance efficiency and sustainability in transportation networks. Dr. He’s work is instrumental in shaping future advancements in logistics engineering.

Publication Top Notes:

  • A novel multi-level reverse logistics network design optimization model for waste batteries considering facility technology types
    • Year: 2024
  • Designing a Reverse Logistics Network for End-of-Life Vehicles in an Uncertain Environment
    • Year: 2024
  • Evaluating and Analyzing the Efficiency and Influencing Factors of Cold Chain Logistics in China’s Major Urban Agglomerations under Carbon Constraints
    • Year: 2024
  • Optimization of Electric Vehicle Routes Considering Multi-Temperature Co-Distribution in Cold Chain Logistics with Soft Time Windows
    • Year: 2024
  • An Adaptive Variable Neighborhood Search Ant Colony Algorithm for Vehicle Routing Problem With Soft Time Windows
    • Year: 2021

 

 

 

 

Prof Dr. Cornelia Vasile | Network Evaluation | Best Researcher Award

Prof Dr. Cornelia Vasacsile | Network Evaluation | Best Researcher Award

Prof Dr. Cornelia Vasile, “P.Poni” Institute of Macromolecular Chemistry, Romania

Dr. Cornelia Vasile is a distinguished chemist and educator with a prolific career spanning over five decades. Her contributions to physical chemistry, particularly in polymer science, have earned her numerous accolades, including prestigious awards from the Romanian Academy and multiple medals at international symposia. As an esteemed professor and researcher, Dr. Vasile has mentored numerous MSc and PhD students, leaving a lasting impact on the scientific community through her dedication to education and innovative research. Her legacy is marked by her pioneering work in the characterization and recovery of polymers, as well as her commitment to advancing scientific knowledge across borders.

Professional Profile:

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πŸŽ“ Educational Background

Ph.D. in Physical Chemistry of Polymers
Institute of Macromolecular Chemistry, Iasi, RO
1965-11-20 to 2014-07-23
Cornelia Vasile completed her Ph.D. at the Institute of Macromolecular Chemistry, where she developed a deep expertise in the physical chemistry of polymers.

🏒 Professional Experience

Senior Researcher (Physical Chemistry of Polymers)
Institute of Macromolecular Chemistry, Iasi, RO
1966-11-20 to 2014
Cornelia Vasile served as a senior researcher at the Institute of Macromolecular Chemistry, where she made significant contributions to the field of polymer chemistry over nearly five decades.

πŸ† Distinctions and Awards

N. Teclu Romanian Academy Prix (Chemical Section)
Romanian Academy, Bucharest, RO
1969-11-15
Cornelia Vasile was honored with the N. Teclu Romanian Academy Prix in the Chemical Section, recognizing her outstanding contributions to chemical research.

🌟 Professional Highlights

Cornelia Vasile’s career is marked by her dedication to advancing the understanding of polymer chemistry. Her work at the Institute of Macromolecular Chemistry and her recognition by the Romanian Academy underscore her impact in the field. Her legacy is one of profound scientific inquiry and remarkable achievements in physical chemistry.

Publication Top Notes:

  • Biocompatible Materials Based on Plasticized Poly(lactic acid), Chitosan and Rosemary Ethanolic Extract I. Effect of Chitosan on the Properties of Plasticized Poly(lactic acid) Materials
    • Year: 2019-05
  • Chitosan-Based Bionanocomposite Films Prepared by Emulsion Technique for Food Preservation
    • Year: 2019-01
  • Antioxidant/Antibacterial Electrospun Nanocoatings Applied onto PLA Films
    • Year: 2018-10
  • Evaluation of the Rosemary Extract Effect on the Properties of Polylactic Acid-Based Materials
    • Year: 2018-09
  • Polymeric Nanocomposites and Nanocoatings for Food Packaging: A Review
    • Year: 2018-09

 

 

 

 

Prof. Urszula Wybraniec-Skardowska | Digital Communication Protocols | Best Researcher Award

Prof. Urszula Wybraniec-Skardowska | Digital Communication Protocols | Best Researcher Award

Prof. Urszula Wybraniec-Skardowska, Cardinal Stefan WyszyΕ„ski University, Poland

Prof. Urszula Wybraniec-Skardowska, a distinguished scholar in the field of logic and philosophy, has left an indelible mark on academia through her interdisciplinary research pursuits. πŸŽ“ Her journey from the University of Opole to Cardinal Stefan WyszyΕ„ski University in Warsaw reflects her unwavering commitment to academic excellence. With a keen focus on logic, philosophy, information sciences, and mathematics, she has significantly contributed to various domains, including linguistics and formal linguistics. 🌐 Her extensive publication record and active participation in international conferences underscore her dedication to advancing knowledge and fostering intellectual dialogue. As a recipient of numerous prestigious awards and a member of esteemed scientific associations, she continues to inspire and shape the future of academic inquiry. πŸ…πŸ”

Professional Profile:

Google Scholar

🏫 Academic Affiliation:

Dr. Urszula Wybraniec-Skardowska, formerly a full professor of logic at the University of Opole, is currently affiliated with the Cardinal Stefan WyszyΕ„ski University in Warsaw. With an extensive academic background, she earned her degrees from Wroclaw University and has made significant contributions to various fields, including logic, philosophy, information sciences, and mathematics.

🌐 Research Interests:

Her interdisciplinary research interests span logic, philosophy of language, formal linguistics, and mathematical logic. Dr. Wybraniec-Skardowska’s work explores diverse topics such as metalogic, logical theory of communication, and formal-logical aspects of rough sets theory. She is deeply engaged in investigating the interface between logic and its applications in linguistics, philosophy, and information sciences.

πŸ“š Publications & Awards:

Dr. Wybraniec-Skardowska has authored over 150 publications, including several books, demonstrating her prolific scholarly output. Her research has been recognized with awards from the Polish Ministry of Education and prestigious fellowships such as the Kosciuszko Foundation Fellowship (USA). Her academic achievements have earned her the Twentieth Century Achievement Award by the American Biographical Institute.

🌐 Professional Engagement:

She actively participates in international scientific associations such as The Association for Symbolic Logic (USA) and The European Association for Logic, Language, and Information (FoLLI). Her professional contributions extend to organizing international congresses and conferences, fostering collaboration and knowledge exchange in her areas of expertise.

πŸ” Current Research Focus:

Dr. Wybraniec-Skardowska’s current research interests revolve around the intersection of knowledge, communication, and logic, as well as the philosophy of linguistics. She delves into intricate topics such as compositionality, meaning, denotation, and truth, aiming to advance our understanding of language, logic, and their philosophical underpinnings.

Publication Top Notes:

  1. On the eliminatibility of ideal linguistic entities”
    • Published in Studia Logica in 1989.
    • Cited 19 times.
  2. “Logical and philosophical ideas in certain formal approaches to language”
    • Published in Synthese in 1998.
    • Cited 18 times.
  3. “Vagueness and roughness”
    • Authors: Z. Bonikowski, U. Wybraniec-Skardowska
    • Published in Transactions on Rough Sets IX in 2008.
    • Cited 17 times.
  4. “On the notion and function of the rejection of propositions”
    • Published in Acta Universitatis Wratislaviensis Logika in 2005.
    • Cited 15 times.
  5. “On the formalization of classical categorial grammar”
    • Published in a volume titled “The Lvov-Warsaw School” in 2006.
    • Cited 14 times.

 

 

 

 

 

Dr. Mosiur Rahaman | Internet of Things Award | Best Researcher Award

Dr. Mosiur Rahaman | Internet of Things Award | Best Researcher Award

Dr. Mosiur Rahaman, Asia University, Taiwan

πŸ‘¨β€πŸ’Ό Dr. Mosiur Rahaman is a versatile researcher and educator with a profound expertise in computer science and information engineering. With a Ph.D. from Asia University and a background in HR with IT, Mosiur has seamlessly blended technology with social sciences. His research focuses on empowering rural communities through secure IoT solutions, while his teaching experience spans across various institutions in Taiwan and India. Mosiur’s dedication to advancing technology for societal development is evident in his diverse research portfolio and commitment to academic excellence. πŸŒπŸ”πŸ“š

Professional Profile:

Scopus

Orcid

Google Scholar

πŸŽ“ Education:

  • Ph.D. in Computer Science and Information Engineering, Asia University, 2024
  • MBA in HR with IT, Osmania University, 2017
  • MTech in Computer Science and Engineering, JNTU Hyderabad, 2014

πŸ”¬ Research Experience:

  • Full-time Researcher at Asia University, focusing on empowering rural India with secure IoE solutions.
  • Part-time roles include facilitating academic exchange programs and conducting AI research.

πŸ‘¨β€πŸ« Teaching Experience:

  • Served as an Adjunct Lecturer and Teaching Assistant at Asia University, imparting knowledge in humanities, social sciences, and computer science.
  • Also worked as an English Teacher at Kuang Fu Elementary and Junior High Schools in Taiwan.

πŸ… Achievements:

  • Published several research papers and contributed to advancements in IoT security and AI.
  • Developed innovative solutions for rural community development and internet distributed systems optimization.

πŸ“šΒ Publication Impact and Citations :

Scopus Metrics:

  • πŸ“Β Publications: 10 documents indexed in Scopus.
  • πŸ“ŠΒ Citations: A total of 41 citations for his publications, reflecting the widespread impact and recognition of Dr. Mosiur Rahaman’s research within the academic community.

Google Scholar Metrics:

  • All Time:
    • Citations: 103 πŸ“–
    • h-index: 02Β  πŸ“Š
    • i10-index: 01 πŸ”
  • Since 2018:
    • Citations: 103 πŸ“–
    • h-index: 02 πŸ“Š
    • i10-index: 01 πŸ”

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

Publications Top Notes :

  1. AlexNet convolutional neural network for disease detection and classification of tomato leaf
    • Published in Electronics in 2022.
    • Cited by 87 articles.
  2. Web semantic-based MOOP algorithm for facilitating allocation problems in the supply chain domain
    • Published in the International Journal on Semantic Web and Information Systems (IJSWIS) in 2023.
    • Cited by 2 articles.
  3. Blockchain Implementation in Indian Pharmaceutical Supply Chain Diminish Counterfeit Product
    • Published in the First Mandalika International Multi-Conference on Science and Engineering in 2022.
    • Cited by 2 articles.
  4. Utilizing Random Forest Algorithm for Sentiment Prediction Based on Twitter Data
    • Published in the First Mandalika International Multi-Conference on Science and Engineering in 2022.
    • Cited by 2 articles.
  5. Analysis of attacks on private cloud computing services that implicate denial of services (DOS)
    • Published in Cyber Security Insights Magazine in 2022.
    • Cited by 2 articles.

 

 

 

 

 

Assoc Prof Dr. Saeed Emami | Network Optimization | Best Researcher Award

Assoc Prof Dr. Saeed Emami | Network Optimization | Best Researcher Award

Prof Dr. Saeed Emami, Babol Noshirvani University of Technology, Iran

Dr. Saeed Emami is an Associate Professor in the Department of Industrial Engineering at Babol Noshirvani University of Technology, Iran. He received his Ph.D. in Industrial Engineering from Isfahan University of Technology in 2015, focusing on order acceptance and scheduling problems in make-to-order systems. With a strong background in optimization and uncertainty, his research interests span various areas, including robust optimization, production planning, facility planning, and supply chain management. As Vice-Chancellor of the Faculty of Materials and Industrial Engineering since January 2020, he plays a key role in academic leadership. With a wealth of teaching experience in engineering courses, he also serves as a supervisor and advisor for numerous master’s theses, addressing diverse topics such as healthcare scheduling, cloud manufacturing, and green supply chain planning. Emami’s contributions extend to the development and application of metaheuristic algorithms, simulation, and multi-criteria decision-making in industrial engineering.

🌐 Professional Profiles : 

Google Scholar

Scopus

Orcid

πŸŽ“Β Education:

    • Ph.D. in Industrial Engineering, Isfahan University of Technology, Iran (2015)
    • M.S. in Industrial Engineering, Isfahan University of Technology, Iran (2008)
    • B.S. in Industrial Engineering, Isfahan University of Technology, Iran (2004)

πŸ“š Teaching Experience:

  • Courses at Babol Noshirvani University of Technology since 2010
    • Engineering Economy, Probability theory, Statistics
    • Computer Applications in Industrial Engineering, Production planning
    • Linear algebra, Simulation, Decision analysis
    • Inventory control, Decision making in healthcare systems
    • Computer simulation, modeling, and optimization, Combinatorial optimization

🏭 Work Experience:

  • Current Position: Associate Professor at Babol Noshirvani University of Technology (since Sep 2015)
  • Supervisor of Master Theses: Diverse topics in Industrial Engineering, including nurse scheduling in the Covid-19 pandemic and integrated production and distribution planning in a green closed-loop supply chain.
  • Advisor of Master Theses: Covering areas like home health care service planning, flexible flow shop scheduling, order acceptance in make-to-order systems, and more.

🧠 Research Interests:

Dr. Saeed Emami, an accomplished Associate Professor at Babol Noshirvani University of Technology, is deeply immersed in the realms of industrial engineering. His intellectual pursuits span a diverse spectrum, from the intricacies of optimization and robust techniques to the art of decomposition algorithms like Benders and Lagrangian relaxation. With a keen focus on production planning, scheduling, and facility planning, he navigates the complexities of supply chain management, employing metaheuristic algorithms such as Nested Partition and Genetic approaches. Dr. Emami’s academic canvas is further enriched by his exploration of simulation methodologies and the nuanced landscape of multi-criteria decision making. πŸŒπŸ“Š

πŸ“šΒ Publication Impact and Citations :Β 

Scopus Metrics:

  • πŸ“Β Publications: 19 documents indexed in Scopus.
  • πŸ“ŠΒ Citations: A total of 345 citations for his publications, reflecting the widespread impact and recognition of Dr. Saeed Emami’s research within the academic community.

Google Scholar Metrics:

  • All Time:
    • Citations: 471 πŸ“–
    • h-index: 9 πŸ“Š
    • i10-index: 9 πŸ”
  • Since 2018:
    • Citations: 417 πŸ“–
    • h-index: 8 πŸ“Š
    • i10-index: 8 πŸ”

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

Publications Top NotesΒ  :

  1. Multi-objective Fuzzy Robust Optimization Approach to Sustainable Closed-Loop Supply Chain Network Design
    • Authors: S Nayeri, MM Paydar, E Asadi-Gangeraj, S Emami
    • Published Year: 2020
    • Journal: Computers & Industrial Engineering
    • Cited By: 141
  2. Managing a new multi-objective model for the dynamic facility layout problem
    • Authors: S Emami, AS Nookabadi
    • Published Year: 2013
    • Journal: International Journal of Advanced Manufacturing Technology
    • Cited By: 82
  3. Wheat sustainable supply chain network design with forecasted demand by simulation
    • Authors: F Motevalli-Taher, MM Paydar, S Emami
    • Published Year: 2020
    • Journal: Computers and Electronics in Agriculture
    • Cited By: 55
  4. A Benders decomposition approach for order acceptance and scheduling problem: a robust optimization approach
    • Authors: S Emami, G Moslehi, M Sabbagh
    • Published Year: 2017
    • Journal: Computational and Applied Mathematics
    • Cited By: 37
  5. Metaheuristic algorithms to allocate and schedule of the rescue units in the natural disaster with fatigue effect
    • Authors: S Nayeri, E Asadi-Gangraj, S Emami
    • Published Year: 2019
    • Journal: Neural Computing and Applications
    • Cited By: 30

 

 

 

 

 

 

Mrs. Mahdieh Ghasemlou | Network Optimization | Best Researcher Award

Mrs. Mahdieh Ghasemlou | Network Optimization | Best Researcher Award

Mrs. Mahdieh Ghasemlou, University of Birjand, Iran

πŸ‘©β€πŸŽ“ Mrs. Mahdieh Ghasemlou is a Ph.D. student in Electrical Engineering-Communications Technology at the University of Birjand, Iran, embarking on a scholarly journey with a focus on “NOMA multi-user transceivers for 5G mobile communication networks.” 🌐 Under the guidance of mentors Dr. Nasser Neda and Dr. Jalil Seifali Harsini, her dedication to advancing knowledge in electrical engineering is evident. πŸš€ Prior to her Ph.D., Mahdieh achieved a Master of Science in Electrical Engineering-Communications from the Islamic Azad University Tehran South branch in Tehran, Iran. πŸ“š Her academic commitment extends to cutting-edge areas like NOMA and 5G communication networks. πŸ’‘ As a devoted researcher, Mahdieh explores a diverse spectrum of wireless communications, including ultra-wideband (UWB) techniques for ranging and localization, signal processing innovations, and resource management strategies in NOMA systems. πŸ“‘ Her multifaceted expertise significantly contributes to the dynamic evolution of wireless technologies. 🌟

πŸŽ“Β Education :Β 

πŸŽ“ Mrs. Mahdieh Ghasemlou is currently on a scholarly pursuit as a Ph.D. student in Electrical Engineering-Communications Technology at the University of Birjand, Iran. 🌐 Her doctoral thesis, titled “NOMA multi-user transceivers for 5G mobile communication networks,” is under the supervision of esteemed mentors Dr. Nasser Neda and Dr. Jalil Seifali Harsini. πŸ“š Prior to her Ph.D., Mahdieh earned a Master of Science in Electrical Engineering-Communications from the Islamic Azad University Tehran South branch in Tehran, Iran, in February 2013. πŸš€ Her academic journey reflects a deep commitment to advancing knowledge in the field of electrical engineering, particularly in cutting-edge areas like NOMA and 5G communication networks. πŸ“‘πŸ’‘

🌐 Professional Profiles : 

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🧠 Research Interests πŸ”¬πŸŒ :

πŸ“‘ Mrs. Mahdieh Ghasemlou is a dedicated researcher with a broad spectrum of interests spanning the dynamic field of wireless communications. 🌐 Her expertise encompasses ultra-wideband (UWB) communications, where she explores advanced techniques for ranging and localization. πŸ“ΆπŸ’¬ Mahdieh’s proficiency extends to signal processing, delving into innovative approaches to enhance communication systems. πŸ’‘ Moreover, her research interests include NOMA systems (Non-Orthogonal Multiple Access), focusing on optimizing resource management strategies for improved efficiency and performance. πŸš€ With a diverse range of interests, Mahdieh contributes significantly to the evolving landscape of wireless technologies and signal processing. 🌟

Publications Top NotesΒ  :

1.Β  An improved method for TOA estimation in TH-UWB system considering multipath effects and interference

Publication Source: JOURNAL OF INFORMATION SYSTEMS AND TELECOMMUNICATION (JIST) 2 (15), 23-29

Year: 2014, Cited By: 2

2.Β  A New Method of TOA Estimation in TH_UWB Systems with Multipath Channel and in the Presence of interference

Publication Source: IRANIAN CONFERENCE ON ELECTRICAL ENGINEERING 21, 1-6

Year: 2013, Cited By: 1

 

 

 

 

 

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 : 

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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