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)

Serena Doria – Technological Networks – Women Researcher Award

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Serena Doria – Technological Networks – Women Researcher Award

Assoc Prof Dr. Serena Doria distinguished academic and researcher in the field Technological Networks. She was responsible for the Ud’A Scienza Project financed under the Call for Scientific Dissemination PANN2020 – Annual Contributions Law 113/91 D.D. 1524 of 21/01/2019, promoted by the MUR. The Ud’A Scienza Project was funded for a total of €72,176, ranking ninth with a score of 55/60 out of 71 admitted projects, and it has a duration of 12 months (from 15.12.2021 to 15.12.2022).

🌐 Professional Profiles

Educations📚📚📚

she graduated in Mathematics, with a focus on Applied Probability, from the University of Rome “La Sapienza” on January 29th, 1992. Since November 1st, 2022, she has been an associate professor in the scientific sector MAT 06 – Probability Calculus and Mathematical Statistics. From 1995 to 2022, she worked as a researcher in the scientific sector MAT 06 – Probability Calculus and Mathematical Statistics. Her research interests include coherent conditional forecasts and their extensions, Hausdorff measures and fractal sets, Choquet integral, representation of orderings, equivalences in complex decisions and complex systems, and knowledge representation in Artificial Intelligence.

Conferences

She attended the MTISD’06 Conference on Methods, Models, and Information Technologies to Support Decision Making, held at the University of Naples – L’Orientale, Procida from September 28th to 30th, 2006. She also participated in the MTISD’04 Conference on Methods, Models, and Information Technologies to Support Decision Making, hosted by the Faculty of Economics and Social Sciences, Benevento from June 24th to 26th, 2004. Additionally, she was present at the SIS Intermediate Conference on Process and Statistical Evaluation Methods in Rome from June 4th to 6th, 2001. She took part in the II Conference of the MURST co-financed Research Project on Models for Treating Partial Knowledge in Decision-Making Processes in Lipari, Sicily from July 22nd to 26th, 2000. Moreover, she attended the I Conference of the MURST co-financed Research Project on Models for Treating Partial Knowledge in Decision-Making Processes in Perugia from April 7th to 9th, 1999. She also participated in the Evolution of Mathematics, its Applications, and its Teaching Conference in Numana from June 4th to 10th, 1999, and the National Mathesis Conference in L’Aquila from October 19th to 21st, 1998. She attended the Days of Combinatorial Geometry in Rome on May 29th and 30th, 1997. Lastly, she was present at the Conference on Methods of Representing Uncertainty in Architecture in Pescara from November 27th to 30th, 1997, and the Conference on Uncertainty Analysis in Economic and Territorial Management in Benevento in May.

 

Internationalizations

She served as an editor, alongside Thomas Augustin and Massimo Marinacci, for the Special Issue of the Ninth International Symposium of Imprecise Probability: Theory and Applications – ISIPTA’15, published in the International Journal of Approximate Reasoning, Volume 84, 39-40, in 2015. Additionally, she was an editor, alongside Thomas Augustin, Enrique Miranda, and Erik Queguebeur, for the Proceedings of the Ninth International Symposium of Imprecise Probability: Theory and Applications – ISIPTA’15, published by Arcne Editrice in 2015. She organized the Ninth International Symposium on Imprecise Probability: Theories and Applications (ISIPTA’15) in Pescara from July 20th to 24th, 2015. Furthermore, she organized the Fifth SIPTA Summer School on Imprecise Probability: Theories and Applications in Pescara from July 16th to 20th, 2012. Since 2001, she has been a member of SIPTA (International Society for Imprecise Probability: Theories and Applications). She served on the Executive Committee of SIPTA from July 14th, 2009, to July 24th, 2011. Since April 2008, she has been a reviewer for Mathematical Reviews (MR). She also served on the Program Committee of the International Symposium on Imprecise Probability: Theories and Applications (ISIPTA ’21) in Granada, Spain, from July 6th to 9th, 2021, and the Program Committee of the International Symposium on Imprecise Probability: Theories and Applications (ISIPTA ’19) in Ghent, Belgium, from July 3rd to 6th, 2019.

 

Scientific Activity

She participated in the PRIN 1997 Research Program – Partial Knowledge and Coherent Probability, led by Professor Romano Scozzafava at La Sapienza University. She also participated in the PRIN 1999 Research Program – Mathematical Models for Uncertainty Treatment and Alternative Project Selection in Architecture and Urban Planning, led by Professor Antonio Maturo at G. d’Annunzio University of Chieti-Pescara, with National Scientific Coordination by Professor Romano Scozzafava at La Sapienza University. She served as a reviewer for national projects as a member of REPRISE (the register of scientific experts established at the MIUR) for the following section: Basic Research. Additionally, she acted as a reviewer for scientific articles within the framework of the VQR 2015-2019. She also reviewed scientific articles for the following international journals indexed in Scopus and/or WoS: International Journal of Approximate Reasoning, Information Sciences, International Journal of Information Technology and Decision Making, Fuzzy Sets and Systems, British Journal of Mathematical and Statistical Psychology, Axioms, and Symmetry.

 

📝🔬Publications📝🔬

Kazi Naimur Rahman -Mechatronics – Excellence in Research

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Kazi Naimur Rahman -Mechatronics

Mr. Kazi Naimur Rahman distinguished academic and researcher in the field Mechatronics and Computer Vision.  Kazi Naimur Rahman is a dedicated researcher with a profound passion for advancing knowledge in Mechatronics and Computer Vision. His academic journey is a testament to his commitment to rigorous exploration, showcasing a deep enthusiasm for contributing to cutting-edge projects and collaborating with fellow researchers. His expertise lies at the intersection of Mechatronics and Computer Vision, where he strives to push the boundaries of innovation and make significant contributions to these fields. Kazi Naimur Rahman’s relentless pursuit of excellence and collaborative spirit position him as a valuable asset in the realm of research, poised to make meaningful advancements in the convergence of Mechatronics and Computer Vision.

🌐 Professional Profiles

Educations: 📚🎓

He completed his Bachelor of Science in Engineering from the Department of Mechatronics and Industrial Engineering at Chittagong University of Engineering & Technology in 2022. His academic journey continued as he pursued a Master of Science in Engineering from the Department of Mechanical Engineering at the same university, completing it in 2023. These educational experiences have equipped him with a strong foundation in both Mechatronics and Mechanical Engineering, shaping his expertise and preparing him for a promising career in the intersection of these fields.

Research Interests: 🧬🔬

Highly secured and Effective management of app-based online voting system using RSA encryption and decryption, deep learning verification technique, database security, admin panel. Applications of Network Science and Graph Analytics in Social, Biological, and Technological Networks,Mechatronics and Computer Vision,

Experience

After completing his Bachelor of Science in Engineering from the Department of Mechatronics and Industrial Engineering at Chittagong University of Engineering & Technology (CUET) from 2017 to 2022, he took on the role of a lecturer in the same department at CUET. Currently stationed at CUET-4349 in Pahartali, Raozan, Chattogram, he has dedicated one year to his position. During this time, he has made significant contributions to research, with a notable achievement of publishing two Q1 journal articles on ScienceDirect. His research encompasses areas such as networking, deep learning, machine learning, and also involves app development. His commitment to academic excellence and research output showcases his dedication to advancing knowledge in the field of Mechatronics and Industrial Engineering.

📚Top Noted Publication