Arnab Das -Manufacturing Technology – Best Researcher Award

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Arnab Das –  Manufacturing Technology – Best Researcher Award

Dr. Arnab Das distinguished academic and researcher in the field Manufacturing Technology. He is currently an Assistant Professor at Swami Vivekananda University in Barrackpore, Kolkata, having joined the institution on March 1, 2024. He completed his Ph.D. in Mechanical Engineering at the Indian Institute of Technology (ISM) Dhanbad, where he conducted his research under the guidance of Prof. Vivek Bajpai.

🌐 Professional Profile

Educations📚📚📚

He completed his Ph.D. in Mechanical Engineering at the Indian Institute of Technology (ISM) Dhanbad in 2023, under the supervision of Prof. Vivek Bajpai, with a thesis titled “Development of high-speed micromachining center and its performance evaluation in micro and diamond turning.” He also holds an M.Tech in Mechanical Engineering with a specialization in Manufacturing Engineering from the same institution, completed in June 2018 under the guidance of Prof. Vivek Bajpai. His M.Tech thesis focused on the “Development of vibration-free machine structure for high-speed micro milling center,” and he graduated with first-class distinction, achieving a CGPA of 9.13. Prior to this, he earned a B.Tech in Mechanical Engineering from the Govt. College of Engineering & Textile Technology, Berhampore, West Bengal, in July 2016, where his project was titled “Refrigeration with the help of Peltier effect” and he graduated with a first-class CGPA of 8.95. He completed his 12th grade at Sree Ramkrishna Sikshalaya in Howrah, West Bengal, in June 2012 with a first division and a percentage of 87.2%, and his 10th grade at the same school in May 2010, also with a first division and a percentage of 84.75%.

Experience

He has extensive research experience in various aspects of mechanical engineering. His research endeavors include the development of dynamically stable high-speed micromachining centers capable of machining complex micro components from difficult-to-machine materials. Additionally, he has worked on introducing high-speed micro turning techniques to enhance the productivity of cylindrical micro components. Furthermore, his research focuses on reducing cutting forces in turning operations through the utilization of micro-structured cutting tools and Minimum Quantity Lubrication (MQL). Moreover, he has contributed to the advancement of diamond turning technology by developing cost-effective methodologies employing ceramic bearing spindles to achieve nano-finished surfaces. In terms of teaching, he has served as an Assistant Professor at Swami Vivekananda University in Barrackpore, Kolkata, since March 2024, and previously held the same position at Camellia Institute of Technology in Madhyamgram from July 2023 to February 2024. He also gained teaching experience as a Teaching Assistant during his M.Tech. and Ph.D. at the Indian Institute of Technology (ISM) Dhanbad, where he assisted in various subjects such as Manufacturing Process Lab, Theory of Metal Forming, Micromanufacturing, Advances in Machining, CNC Programming Lab, and Production Technology Lab.

Research Interests:

He is currently engaged in research spanning various areas of precision engineering and machining. His primary interests lie in micro turning, ultraprecision diamond turning, and high-speed micromachining, where he delves deep into the intricacies of metal cutting processes. Additionally, he focuses on understanding machine tool dynamics to optimize performance. Utilizing finite element modeling (FEM), he investigates the complex interactions within machining systems, aiming to enhance accuracy and efficiency. Beyond conventional methods, he explores unconventional machining techniques and embraces additive manufacturing, continually expanding his expertise and contributing to advancements in manufacturing technology.

📝🔬Publications📝🔬
  • . Arnab Das, Vivek Bajpai, “Turning insert with lubricating passage along the normal plane for
    minimization of friction, cutting force and tool wear”, Journal of Manufacturing Processes
    (2023) vol 101, pp 141-155, 2023. https://doi.org/10.1016/j.jmapro.2023.05.066 (Impact factor:
    5.684, SCI Indexed)
  • Arnab Das, Vivek Bajpai, “Machinability analysis of lead free brass in high speed micro turning
    using minimum quantity lubrication”, CIRP Journal of Manufacturing Science and Technology
    (2023) vol 41, pp 180-195, 2023. https://doi.org/10.1016/j.cirpj.2022.11.023 (Impact factor: 3.56,
    SCI Indexed)
  • Arnab Das, Abisoor Rishi Sharan Mundu, Vivek Bajpai, “Enhancing tribological performance of
    lead free brass in high speed micro turning via hybrid cryogenic cooling technique”, Tribology
    International (2022) vol 179, 108090, 2022. https://doi.org/10.1016/j.triboint.2022.108090
    (Impact factor: 5.62, SCI Indexed)
  • Arnab Das, Shashank Shukla, Mohan Kumar, Chitransh Singh, Madan Lal Chandravanshi, Vivek
    Bajpai, “Development of a vibration free machine structure for high-speed micro-milling center”,
    The International Journal of Advanced Manufacturing Technology, vol 116, 2021, pp 3489-
    3506. https://doi.org/10.1007/s00170-021-07533-1 (Impact factor: 3.563, SCI Indexed)
  • Chitransh Singh, Arnab Das, Vivek Bajpai, and Madan Lal Chandravanshi, “Effects of process
    parameters on tool vibration and force transmissibility in high-speed micro-milling machine”,
    Journal of the Brazilian Society of Mechanical Sciences and Engineering (2023) vol 45: 343,
    pp 1-14, 2023. https://doi.org/10.1007/s40430-023-04266-y (Impact factor: 2.361, SCI Indexed)
  • Arnab Das, Shri Narayan Agnihotri, Vivek Bajpai, “Compensation for Merchant’s Circle Diagram
    to predict cutting force in orthogonal micro turning”, Journal of Micromanufacturing, (Special
    issue on WCMNM 2021) vol 6(2), pp 101-111, 2023. https://doi.org/10.1177/25165984231171896
    (SCOPUS Indexed)
  • Arnab Das, Abisoor Rishi Sharan Mundu, and Vivek Bajpai, “Prediction of friction angle and
    cutting force considering sticking friction in machining process”, Sadhana, vol 48, 261, 2023.
    https://doi.org/10.1007/s12046-023-02312-y (Impact factor: 1.6, SCI Indexed)
  • Arnab Das, Vivek Bajpai, “A laser welding set up with dual focal lens for laser welding of
    dissimilar materials”, Indian Patent, Application no 202331006063 A, The Patent Office Journal
    No. 06/2023 Dated 10/02/2023, pp 9969. (Published)

Manuel S. Alvarez Alvarado – Syber Physical Power Systems – Best Researcher Award

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Manuel S. Alvarez Alvarado – Syber Physical Power Systems – Best Researcher Award

Dr. Manuel S. Alvarez Alvarado distinguished academic and researcher in the field  Syber Physical Power Systems. From 2023 onwards, he has been actively engaged in academia, serving as the International Accreditation Coordinator for the Electricity degree program at ESPOL (Escuela Superior Politécnica del Litoral). In addition to his academic role, he holds the position of Vice-President at Rodsolar Technologies since 2020, contributing to the industry sector. Furthermore, he continues to be an integral part of academia and research as an Associate Professor at the Faculty of Electrical and Computer Engineering (FIEC-ESPOL) at ESPOL, a position he has held since 2020. In his ongoing commitment to academic research, he serves as a reviewer for prestigious journals including the IEEE Transactions on Power Systems and the IET Generation, Transmission, and Distribution. Moreover, he has taken on editorial responsibilities as the Editor of the Special Issue titled “Sustainability of Future Power Systems: Climate Change Impacts, System Reliability, Renewable Energy Technologies, and Grid Integration,” reflecting his expertise in the field. During the period of 2018-2019, he contributed to research by co-supervising master’s theses at the University of Birmingham. Prior to these roles, from 2016 to 2017, he served as an Assistant Professor at the Faculty of Natural Sciences and Mathematics (FCNM-ESPOL) at ESPOL.

 

🌐 Professional Profiles

Educations📚📚📚

 He received the degree in electrical power engineering in 2011 and the masters degree in physics education (rank 1) in 2013, both awarded by the Escuela Superior Politecnica del Litoral, Guayaquil and the M.Sc. degree in power and energy systems (rank 1) in 2015 from the New Jersey Institute of Technology, Newark, NJ, USA. In 2019, he awarded the Ph.D. degree in educational physics given by the National Polytechnic Institute of Mexico. In 2020, he received his second Ph.D. degree in power systems with the University of Birmingham, Birmingham, UK. His research areas include educational physics, quantum mechanics, renewable energy, electrical trains, smart grids, and power systems reliability.
🏆🏆Awards 🏆🏆

He has garnered numerous accolades and recognitions throughout his academic and research career. In 2023, he was honored as the Best Researcher in Electrical and Electronic Engineering at the ESPOL major quartiles event, highlighting his outstanding contributions to the field. His excellence in research was further acknowledged in 2019 when he received the Best Paper Award at the 3rd Annual School of Engineering PGR Symposium in Birmingham, UK. Additionally, he was recognized as a Top Peer Reviewer in 2019 both in Cross-field and in Engineering categories by the Web of Science Group, Publons.

In preceding years, his contributions were similarly esteemed, with notable awards including the Best Paper Award at the PES conference session during the Third Ecuadorian Technical Chapters Meeting in Cuenca, Ecuador, in 2018. He was also honored with the Premio Roy Billinton Student Paper Gold Award at the Conference on Probabilistic Methods Applied to Power Systems in Idaho, USA, in 2018.

His achievements extend internationally, as evidenced by the Best Paper Award at the 4th International Conference on Sustainable Energy Technologies in Hanoi, Vietnam, in 2016. Furthermore, his academic pursuits have been supported by prestigious scholarships, including the Ph.D. program Walter Raffo Valdano scholarship at ESPOL and the Senescyt scholarship for the Ph.D. program.

Moreover, he demonstrated excellence in academic programs, receiving the distinction of Best Graduate in the Master in Power and Energy Systems at the New Jersey Institute of Technology (NJIT), USA, in 2016. Earlier, in 2013, he was recognized as the Best Graduate in the Master’s Degree in Teaching Physics at ESPOL, Guayaquil-Ecuador. His academic journey was initiated with the support of the 2012 Senescyt scholarship for the Master’s program.

📝🔬Publications📝🔬

Mohamed Shoaib | Applications of Deep Learning

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Mohamed Shoaib |Applications of Deep Learning

Academician/Research Scholar

NTU (Nanyang Technological University, Singapore) DOCTOR OF PHILOSOPHY at the School of Computer Science and Engineering (SCSE) (FULL-TIME) JAN 2023. Working as a full-time Researcher in the fields of Machine Learning, Data Science, and Artificial Intelligence. Working on applications like how to apply AI in Biomedical, Agriculture, and
communication.

 

Professional Profiles:

Education:

  • Information Technology Institute (ITI)
    Diploma in Artificial Intelligence powered by EPITA School of Engineering and Computer Science. APR 2021 – JAN 2022
  • Faculty of Engineering, Menoufia University.
    Master’s degree in Engineering Science. Subject: Utilization of Artificial Intelligence Techniques in Healthcare Applications. (Pre-Master GPA: 3.46/4) Oct 2019 – MARCH 2022

CERTIFICATIONS

  • Udacity Certified -AWS Machine Learning Foundations Nanodegree Program (2021)
  • Data Camp Certified- Data scientist, Data analyst, and Python programming Career Tracks. (2021.
  • IBM Certified – ML, Data Science, NLP, and AI courses. (2020).
  • Udemy Certified – ML, Data Science, NLP, and DL courses. (2019).

publications