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Faculty

Home » Faculty » Dr. Manikyam Sandeep
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Dr. Manikyam Sandeep

Associate Professor

Qualification
Ph.D. (Mechanical Engineering), M.E. (Production Engineering), B.E. (Mechanical Engineering), Diploma in AI & ML

Professional Exp.
19.5 years

Registration Number
4588-150413-144017

Email Address
manikyamsandeep@aceec.ac.in

About

Dr. Manikyam Sandeep is a Doctorate in Mechanical Engineering with more than 19.5 years of academic and industrial experience and additionally I have completed a diploma in Artificial Intelligence and Machine Learning. And also a proven record in teaching, research, and academic leadership, with expertise in Production Engineering, advanced machining processes, and AI/ML applications in manufacturing. With 21 Scopus-indexed and 5 SCI publications and two patents actively drives research and innovation. Successfully guided SAE student projects including Ecokart, Supra, and Solar Car, earning national recognition. A committed educator and mentor, he is a member of ASTM, SAE, IASTER, and IAENG, and is widely recognized for his student-focused approach, applied research, and industry-driven teaching methods.

Educational Details

  • Ph.D. (Mechanical Engineering), Koneru Lakshmaiah Research Foundation – Sep 2025
  • Diploma in Artificial Intelligence and Machine Learning, DILT-JNTU – Aug 2024
  • M.E. (Production Engineering), Osmania University – Aug 2012
  • B.E. (Mechanical Engineering), Vasavi College of Engineering – Jun 2009
  • Diploma in Mechanical Engineering, GMR Polytechnic – Aug 2003

Professional Background

  • Associate Professor, ACE Engineering College – Jan 2017 to Present
  • Production Engineer, Oriental Engineering – Jul 2012 to Jan 2017
  • Quality Control Engineer, Jaya Enterprises – Apr 2003 to Aug 2006

Subjects Taught:

  • Production Technology
  • MOS
  • Machine Tools
  • Information Retrieval System
  • Instrumentation And Control Systems
  • Power Plant Engineering
  • Additive Manufacturing Techniques
  • Non-Conventional Energy Systems.

Core Research Domains:

  • Production Engineering
  • Artificial Intelligence and Machine Learning.
  • Core Domains: Manufacturing, Production Engineering, Quality Engineering, AI in Manufacturing, Lean Six Sigma

Publications (21scopus indexed journals + 05 SCI Journals)

  1. Manikyam, S., & Kumar, P. J. (2021). Experimental Investigation And Surface Quality Parameters Optimization In WEDM Machining Of D-Series Tool Steels. Advances in Materials and Processing Technologies, 8(sup2), 814–825. https://doi.org/10.1080/2374068X.2021.1946752.
  2. Sandeep M, Yelamasetti B Narella SS, Tiruchanur VV, Sonar T, Prakash C, Shelare S, Mubarak NM, Kumar S. Optimization Of TIG Welding Process Parameters Using Taguchi Technique For The Joining Of Dissimilar Metals Of AA5083 And AA7075. Sci Rep. 2024 Oct 10;14(1):23694. Doi: 10.1038/S41598-024-74458-6. PMID: 39390017; PMCID: PMC11467193.
  3. Manikyam, S., & Kumar, P. J. (2021). Experimental Investigation And Surface Quality Parameters Optimization In WEDM Machining Of D-Series Tool Steels. Advances In Materials And Processing Technologies, 8(Sup2), 814–825. Https://Doi.Org/10.1080/2374068X.2021.1946752
  4. Yelamasetti, B., Manikyam, S., Kumar, R., & Saxena, K. K. (2021). Finite Element Simulation For Predicting Temperature And Residual Stresses Distribution Developed In Dissimilar Welds Of Monel 400 And AISI 309L. Advances In Materials And Processing Technologies, 8(Sup3), 1206–1216. Https://Doi.Org/10.1080/2374068X.2021.1948702
  5. Yelamasetti, B., G, V. R., Manikyam, S., & Saxena, K. K. (2021). Multi-Response Taguchi Grey Relational Analysis Of Mechanical Properties And Weld Bead Dimensions Of Dissimilar Joint Of AA6082 And AA7075. Advances In Materials And Processing Technologies, 8(Sup3), 1474–1484. Https://Doi.Org/10.1080/2374068X.2021.1946340
  6. Yelamasetti, B., Ramana G, V., Manikyam, S., & Vardhan T, V. (2021). Thermal Field And Residual Stress Analyses Of Similar And Dissimilar Weldments Joined By Constant And Pulsed Current TIG Welding Techniques. Advances In Materials And Processing Technologies, 8(Sup3), 1889–1904. Https://Doi.Org/10.1080/2374068X.2021.1959114
  7. Manikyam Sandeep, P. Jamaleswarakumar, Enhancement and gray relational analysis of EN 31 steel using parameters of wire cut electric discharge machine, Materials Today: Proceedings, Volume 19, Part 2,2019,Pages 884-889,ISSN 22147853, https://doi.org/10.1016/j.matpr.2019.08.243.
  8. Sandeep, M. (2019). Experimental investigation and optimization of mrr, surface roughness and overcut of AISI 316 stainless steel in EDM using Taguchi Method. Int J Adv Sci Technol IJAST, 28, 16.
  9. Manikyam Sandeep and M. Sandeep 2020 IOP Conf. Ser.: Mater. Sci. Eng. 912 032047DOI 10.1088/1757-899X/912/3/032047
  10. Manikyam Sandeep, P. Jamaleswara Kumar, Optimization of analytical modelling of aluminum-multiwall carbon nanotube composites ,Materials Today: Proceedings, Volume 19, Part 2,2019,Pages 837-842,ISSN 2214-7853,https://doi.org/10.1016/j.matpr.2019.08.141.
  11. Sandeep, P.Kumar,and A.Abinay, InternationalJournalofMechanicalandProductionEngineeringResearchandDevelopment8, 905926(2018)https://doi.org/10.24247/ijmperddec201892Google ScholarCrossref
  12. Sandeep Manikyam and P. Jamaleswara Kumar Journal: Advances in Materials and Processing Technologies, 2022, Volume 8, Number sup2, Page 814 DOI: 10.1080/2374068X.2021.1946752
  13. Manikyam Sandeep,Optimization of deep drawing process parameters for cylindrical cup,Materials Today: Proceedings,Volume 19, Part 2,2019,Pages 772-777,ISSN 2214-7853,https://doi.org/10.1016/j.matpr.2019.08.128.
  14. Sandeep, M., Jamaleswara Kumar, P. (2020). Experimental Execution Analysis of Wire Electric Discharge Machining. In: Praveen Kumar, A., Dirgantara, T., Krishna, P.V. (eds) Advances in Lightweight Materials and Structures . Springer Proceedings in Materials, vol 8. Springer, Singapore. https://doi.org/10.1007/978-981-15-7827-4_45
  15. Manikyam Sandeep, P. Jamaleswara Kumar, Optimization of analytical modelling of aluminum-multiwall carbon nanotube composites , Materials Today: Proceedings, Volume 19, Part 2,2019, Pages 837-842, ISSN 2214-7853, https://doi.org/10.1016/j.matpr.2019.08.141.
  16. Manikyam Sandeep /Afr.J.Bio.Sc. 6(10) (2024) .PredictionOf Surface Roughness Of Pla+ Material In Additive Manufacturing Using Machine Learning. Volume 6, Issue 10, 2024 Received: 19 March 2024 Accepted: 20 April 2024 Published: 10 May 2024. https://www.afjbs.com/uploads/paper/5880dd0e5bb5443243fb12e857a9b0f0.pdf
  17. Manikyam Sandeep /Afr.J.Bio.Sc. 6(10) (2024).Prediction of Machining Parameters On DB6 Tool Steel Using ANN. Volume 6, Issue 10, 2024 Received: 19 March 2024 Accepted: 20 April 2024 Published: 10 May 2024. https://www.afjbs.com/uploads/paper/a28e10d99bc3c8c04d8df45e6aecab06.pdf.

Patent & Book

  • Patent: AI Based intellectual bike engine start-stop Mechanism using fingerprint in 2024.
  • Patent: Applied for ‘Pedal Correction System in Cycle’ (Application No. 321696-001)
  • Book: ‘Enhancement and Gray Relational Analysis’ – Lambert Academic Publishing

Certifications & Achievements

  • NPTEL: Fundamentals of Manufacturing Processes (Elite Certificate)
  • NPTEL: Introduction to Machine Learning
  • Organized Two-Week Workshop on IC Engines (2019)
  • Faculty Advisor – SAE Club, ACE Engineering College (Guided Ecokart, Supra, Solar Car Projects)

Professional Memberships

  • Member – ASQ (USA)
  • Member – SAE International, India
  • Life Member – IASTER (India)
  • Life Member – IAENG (Hong Kong)

Skills

  • Classroom Management & Presentations.
  • Six sigma green belt certification.
  • Academic & Applied Research
  • Student Mentoring & Counseling
  • Mechanical Design & Manufacturing
  • Project Guidance (SAE, Real-time Projects)