Assoc. Prof. Dr. Anna Zawada-Tomkiewicz | Manufacturing Processes | Best Researcher Award

Associate Professor at Koszalin University of Technology | Poland

Anna Zawada-Tomkiewicz, PhD, DSc, Eng., is an Associate Professor at the Department of Technical Systems and Informatics Engineering, Faculty of Mechanical Engineering and Energy, Koszalin University of Technology, Poland. She is a distinguished researcher with expertise in metrology, manufacturing diagnostics, machining processes, and Industry 4.0 technologies, contributing significantly to academic literature, industrial R&D, and advanced training in modern manufacturing systems.

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Education Details

She earned her MSc in Civil Engineering with a specialization in structural engineering, followed by a PhD in Mechanical Engineering with a focus on computer measurement systems, and later obtained her habilitation (DSc) in Mechanical Engineering. In addition to her main degrees, she has completed various postgraduate programs in areas such as educational management systems, occupational safety, IT and computer networks, as well as specialized industrial training in machining, PLC programming, micro-CT, measurement system analysis, and statistical process control.

Professional Experience

She has built her academic and research career at Koszalin University of Technology, where she currently serves as Associate Professor. Beyond teaching and research, she has actively contributed to applied industrial projects, including the automation of CNC-based manufacturing processes and the development of intelligent modular production systems. Her work integrates academic knowledge with real-world industrial applications, particularly in the context of smart manufacturing and digitalization.

Research Interests

Her research covers surface metrology and geometric structure measurement, dimensional and shape evaluation in manufacturing, wavelet and time–frequency analysis of machining signals, artificial neural networks and machine learning in diagnostics, and computed tomography applications in manufacturing. She is also deeply engaged in developing predictive models, CAD/CAM-based measurement integration, digital twin applications, and Industry 4.0-based automation concepts, with a strong emphasis on feedback loops between design, production, and measurement for quality assurance.

Awards and Honors

She has authored monographs, textbooks, and over a hundred peer-reviewed scientific papers, making notable contributions to the advancement of modern manufacturing engineering. Her publications, books, and participation in international collaborations have established her as a respected academic figure in her field.

Publication Top Notes

Investigation of Titanium Alloy Cutting Dynamics in Thin-Layer Machining, 2025.

Surface roughness in hard turning of EN 100Cr6 with coated PCBN cutting tools at micro cutting depths, 2025.

Surface Characterization of Metallic Materials in the Case of the Turning Process of NiTi Alloy, 2024.

Conclusion

Prof. Anna Zawada-Tomkiewicz stands out as a leading academic and researcher whose interdisciplinary expertise bridges theory and practice in manufacturing engineering. Through her sustained commitment to innovation, education, and industrial application, she continues to shape advancements in metrology, intelligent machining, and Industry 4.0 solutions, reinforcing her reputation as a highly influential figure in engineering research and practice.

Dr . Muhammad Wasif | Manufacturing processes | Best Researcher Award

Dr . Muhammad Wasif ,NED University of Engineering and Technology,Pakistan

Dr. Muhammad Wasif is a distinguished academic and researcher at NED University of Engineering and Technology, Pakistan. He has made significant contributions to the field of engineering through his extensive research and teaching. Dr. Wasif’s expertise spans across various domains of engineering, and he is recognized for his innovative approaches and dedication to advancing engineering education.

Recognition and Awards:

Has received multiple awards including NED Best Researcher Awards for 2020 and 2021, as well as the HEC National Best University Teacher Award (2020). These accolades highlight his excellence in research and teaching.

Professional Profiles:

Scopus

Education :

PhD in Computer-aided Design and Manufacturing (Mechanical Engineering) from Concordia University, Montreal, Canada (2009–2013).
MEngg. in Industrial and Manufacturing from NED University of Engineering and Technology (2005–2007).
BE in Mechanical Engineering from NED University of Engineering and Technology, Karachi (2000–2003).

Experience:

Associate Professor in Department of Industrial and Manufacturing Engineering, NED University of Engineering and Technology, Karachi (since January 2022).,HEC Approved Supervisor for five PhDs and four Masters thesis students.,International Panel Member (Consultant) for the evaluation of Engineering Programmes in under Washington Accord by the Institute of Engineers, Sri Lanka (IESL).,Member Syndicate (Executive Body) of NED University of Engineering and Technology.,Managing funding of Centers, Laboratories, and NRPU projects.,Teaching PhD, Masters (MEM and M.Engg.), and Bachelor’s (BE) level courses.,Developed several PhD, Masters, Undergraduate, and Postgraduate Diploma courses.,Certified OBE Programme Evaluator from Pakistan Engineering Council (PEC).,Corporate Trainings in Project Management, CAD/CAM, Operations and Production Management, Inventory Management, Lean System.

Skills:

Project Management
CAD/CAM
Operations and Production Management
Inventory Management
Lean System
Quality Management
Research Supervision
Teaching and Curriculum Development
Quality Assurance and Auditing
Policy Development and Implementation

Awards:

National Center of Automation and Industry 4.0 Technology grant from Planning Commission of Pakistan (PKR 470 million).,Erasmus+ (European Union) grant for Introduction of Innovative Practices and Methodologies for Effective Teaching and Industry-Academia Linkages in Pakistan and Malaysia (Euro 718,000).,Center for Advanced Precision Machining grant from Planning Commission of Pakistan (PKR 94.1 million).,NEDAASC FYDP Funding for Smart Workstations 2.0 and IGNITE funding for the Smart Factory 1.0.,NED Best Researcher Award 2021 and 2020.,NEDAASC Best Researcher Award 2020.,HEC-NRPU grants for multiple research projects with roles as Co-Principal Investigator (Co-PI) and Principal Investigator (PI).,HEC – National Best University Teacher Award 2020.,HEC – Best University Teacher Award 2020 (in 151 Academic Council of NEDUET).,NEDAASC Best University Teacher Award 2019.,NED – PhD/Master Research Grant (Rs. 6 million).,Best Teacher Awards 2016.,Best Research Publication Award 2016.,Research Assistantship by the Faculty of ENCS, Concordia University, Canada.,PhD Scholarship through Faculty Development Programme of HEC to pursue higher education in Concordia University, Montreal (Quebec), Canada – 2008.

Research Focus:

Smart / Digital Manufacturing: Industry 4.0, Application of Computer Aided Design In Mechanical Engineering, Data Analytics.,Application of machine learning/AI for the prediction of response variables in manufacturing or management.,Manufacturing of Composite using conventional and additive manufacturing.,Optimization and enhancement of productivity in production and service industry.,Optimization of integrated supply chains using analytical and simulation methods.,Modeling and simulation of production and service facilities.,Project management, processes, and project governance.,Risk Management System.,Computer-aided design (CAD) and computer-aided manufacturing (CAM).

Publications :

Kashif, M., Wasif, M., Iqbal, S.A., “Improved quality of holes in carbon composite laminates produced by the optimized drilling, drill tool parameters and modified laminates”, International Journal on Interactive Design and Manufacturing (IJIDeM), Vol. 18, pp. 733–747, 2024. DOI: 10.1007/s12008-023-01699-6 (HJRS “X” Category, JCR, Impact Factor 2.1)

Irshadullah, Wasif, M., Tufail, M., “Analysis of shrinkage and dimensional accuracy of additively manufactured tooling for the composite manufacturing”, International Journal on Interactive Design and Manufacturing (IJIDeM), Vol 18, pp. 673-684, 2024. DOI: 10.1007/s12008-023-01640-x (HJRS “X” Category, JCR, Impact Factor 2.1)

Fatima, A., Wasif, M., Ahmed, A., Yaqoob, S., “Effect of rake face surface of cutting tool on tool crater wear”, Manufacturing Review, Vol 10, Article No. 15, pp. 1-6, 2023. DOI: 10.1051/mfreview/2023013 (HJRS “X” Category, JCR, Impact Factor 2.9)

Wasif, M., Rababah, M., Fatima, A., Karim, H., “Prediction of Springback using the Machine Learning Technique in high-tensile strength sheet metal during the V-Bending Process”, Journal of Mechanical and Industrial Engineering (JJMIE), Vol. 17 (4), pp. 481-488, 2023. JJMIE-216-23.pdf (JCR Impact Factor Journal)

Zulqarnain, A., Wasif, M., Iqbal, S.A., “Developing a Quality 4.0 Implementation Framework and Evaluating the Maturity Levels of Industries in Developing Countries”, Sustainability, Vol. 14, 11298, 2022. DOI: 10.3390/su141811298 (HJRS “W” Category, JCR, Impact Factor 3.9)

Rababah, M., AL-Oqla, F.M., Wasif, M., “Application of analytical hierarchy process for the determination of green polymeric-based composite manufacturing process”, International Journal on Interactive Design and Manufacturing (IJIDeM), Vol. 16, pp. 943–954, 2022. DOI: 10.1007/s12008-022-00938-6 (HJRS “X” Category, JCR, Impact Factor 2.1)

Rehman, H., Boor, F., Wasif, M., Iqbal, S.A., “A Novel Method for Process Planning of Die and Mould Manufacturing using Expert System Approach”, Transactions of FAMENA, Vol. 54, Issue 4, pp. 105-130, 2022. DOI: 10.21278/TOF.454027821 (JCR Impact Factor 1.19)

Wasif, M., Khan, Y.A., Zulqarnain, A., Iqbal, S.A., “Analysis and Optimization of Wire Electro-Discharge Machining Process Parameters for the Efficient Cutting of Aluminum 5454 Alloy”, Alexandria Engineering Journal, Vol. 61, Issue 8, pp. 6191-6203, 2022. DOI: 10.1016/j.aej.2021.11.048 (HJRS “W” Category, JCR Impact Factor 6.62)

Ahmed, A., Wasif, M., Fatima, A., Wang, L., Iqbal, S.A., “Determination of the feasible setup parameters of a workpiece to maximize the utilization of a five-axis milling machine”, Frontiers Mechanical Engineering, Vol. 15, pp. 298–314, 2021. DOI: 10.1007/s11465-020-0621-3 (HJRS “W” Category, JCR Impact Factor 4.06)

Haroon, S., Wasif, M., Khalid, R., Khalidi, S., “Supply chain practitioners’ perception on Sustainability: An empirical study”, Sustainability, Vol. 13, Issue 17, 9872, 2021. DOI: 10.3390/su13179872 (HJRS “W” Category, JCR, Impact Factor 3.9)

Wasif, M., Fatima, A., Ahmed, A., Iqbal, S.A., “Investigation and Optimization of Parameters for the Reduced Springback in JSC-590 sheet metals occurred during the V-bending Process”, Transactions of the Indian Institute of Metals, Vol. 74, pp. 2751–2760, 2021. DOI: 10.1007/s12666-021-02357-9 (HJRS “X” Category, JCR, Impact Factor 1.39)

Fatima, A., Wasif, M., Mumtaz, M.O., “Optimization of process parameters in turning of nuclear graded steel alloy (AISI-410) for sustainable manufacture”, Journal of Engineering Research, published online, 2021. DOI: 10.36909/jer.11239 (JCR Impact Factor 1.32)

Wasif, M., Iqbal, S.A., Khan, Y.A., Tufail, M., “Analysis and Multi-Objective Optimization of Wire Cut Process Parameters for Efficient Cutting of Tapered Carbon Steels Using Wire EDM”, Journal of Engineering Research, published online, 2021. DOI: 10.36909/jer.11965 (JCR Impact Factor 1.32)

Wasif, M., Fatima, A., Iqbal, S.A., Tufail, M., Karim, H., “Analysis and Optimization of Springback during the V-bending of Hot-Rolled High Strength Steels (JSH440)”, Journal of Engineering Research, published online, 2021. DOI: 10.36909/jer.11027 (JCR Impact Factor 1.32)