Somayeh Bahramnejad | Survival Analysis and Reliability | Editorial Board Member

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Dr. Somayeh Bahramnejad | Survival Analysis and Reliability | Editorial Board Member

Sirjan University of Technology | Iran

Dr. Somayeh Bahramnejad is an accomplished Assistant Professor in the Department of Computer Engineering at Sirjan University of Technology, recognized for her scholarly impact and multidisciplinary contributions across reliability engineering, machine learning, image processing, computer architecture, and computer networks. She completed her B.S. degree in Computer Hardware Engineering at Ferdowsi University of Mashhad, earned her M.Sc. in Computer Architecture from Amirkabir University of Technology, and later obtained her Ph.D. in Computer Architecture from the University of Isfahan. With a steadily expanding academic portfolio, she has published influential research in reputable international journals, including Microelectronics Reliability, SN Computer Science, Computing, Computers & Electrical Engineering, and Scientia Iranica, contributing to a total of six peer-reviewed journal publications. According to her Google Scholar profile, she has accumulated 29 citations, an h-index of 3, and an i10-index of 1, demonstrating the visibility and growing influence of her research contributions. Dr. Bahramnejad has significantly advanced the field through innovative work on reliability improvement of SRAM-based FPGAs, reliability analysis of CR-VANETs, and the application of machine-learning methods for evaluating digital circuit reliability. She provides academic consultancy to seven M.Sc. students, supporting high-quality research, technical development, and scholarly productivity. Her professional presence on Google Scholar and ORCID ensures transparent documentation of her academic achievements and research outputs. Committed to interdisciplinary collaboration and impactful scientific inquiry, she focuses on designing robust, scalable, and reliable computing systems informed by both theoretical insight and practical need. With her dedication to excellence, mentorship, innovation, and long-term contributions to engineering research, Dr. Bahramnejad stands as a strong candidate for distinctions such as the Reliability Analysis Award, Best Researcher Award, Best Paper Award, Women Researcher Award, and Innovative Research Award, reflecting her potential for continued leadership within the global research community.

Profiles: Scopus | Orcid

Featured Publications

Bahramnejad, S. (2025). A fuzzy-arithmetic-based reliability assessment model for digital circuits (FARAM-DC). Microelectronics Reliability.

Bahramnejad, S., Movahhedinia, N., & Naseri, A. (2024). An LSTM-based method for automatic reliability prediction of cognitive radio vehicular ad hoc networks. SN Computer Science.

Bahramnejad, S., Movahhedinia, N., & Naseri, A. (2023). A deep learning method for automatic reliability prediction of CR-VANETs. Research Square.

Bahramnejad, S., & Movahhedinia, N. (2022). A fuzzy arithmetic-based analytical reliability assessment framework (FAARAF): Case study, cognitive radio vehicular networks with drivers. Computing.

Bahramnejad, S., & Movahhedinia, N. (2022). A reliability estimation framework for cognitive radio V2V communications and an ANN-based model for automating estimations. Computing.

Xu Ge | Statistical Applications in Engineering | Industrial Statistics Award

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Mr. Xu Ge | Statistical Applications in Engineering | Industrial Statistics Award

Shanghai Jiao Tong University | China

Mr. Xu Ge is a promising researcher specializing in control science, soft sensing, and intelligent systems, currently pursuing his Ph.D. at the UM-SJTU Joint Institute, Shanghai Jiao Tong University. He earned his Bachelor’s degree in Automation from the School of Mechanical Engineering and Automation at Harbin Institute of Technology (Shenzhen), where he consistently demonstrated academic excellence and technical innovation. Throughout his academic journey, Xu Ge has been recognized with numerous honors, including the prestigious National Scholarship, Topband Enterprise Scholarship, and First-Class Academic Scholarship. His university distinctions-Outstanding Student, Outstanding CYL Member, Outstanding Graduate, and Outstanding Thesis-further highlight his commitment to excellence. Xu has achieved remarkable success in national competitions, winning the ROBOCOM National First Prize, ROBOCON National Third Prize, the National Undergraduate Smart Car Competition (Outdoor Track) National Third Prize, and the National Undergraduate Mathematics Competition Provincial First Prize. His research experience reflects a strong interdisciplinary background bridging control engineering, machine learning, and system modeling. Notably, in the NSFC project “Online Estimation of Loads and Fatigue Life Prediction of Key Chassis Components under Random Driving Conditions,” he designed a soft-sensing framework that enables high-accuracy signal estimation through data-driven models and developed an embedded system for real-world vehicle testing. His collaboration with BYD on the “New Energy Vehicles Technology Program” showcased his expertise in robotics and deep learning, where he constructed datasets from BYD blade-battery modules and integrated neural networks with classical algorithms for precise robotic welding detection and operation. Xu Ge has contributed several impactful publications, including works in Mechanical Systems and Signal Processing and IEEE Transactions on Vehicular Technology, and papers accepted for presentation at IECON 2025. His accepted and submitted research covers a wide range of topics, such as vehicle sensor optimization, kernelized modeling for wheel load estimation, and battery electrochemical parameter identification through hybrid optimization methods. With his strong foundation in algorithm design, system integration, and data-driven control, Xu Ge continues to push the frontiers of intelligent mechanical systems and vehicular sensing technologies, aspiring to develop innovative, high-performance solutions that bridge theoretical advancements with industrial applications.

Profile: Google Scholar

Featured Publications

Ge, X., Li, M., Zhou, J., Qiu, Y., & Zhang, M. (2026). MMSE noncausal FIR based wheel force soft-sensing under Bernoulli-uniform prior. Mechanical Systems and Signal Processing, 242, 113601.

Ge, X., Zhang, M., Zhou, J., Chen, W., Li, X., & Li, M. (2025). Vehicle sensor configuration optimization for tire force estimation based on Min-Max SDP. In IECON 2025 – 51st Annual Conference of the IEEE Industrial Electronics Society.

Zeliha Coskun Tas | Statistical Applications in Engineering | Best Researcher Award

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Mrs. Zeliha Coskun Tas | Statistical Applications in Engineering | Best Researcher Award

Kocaeli University | Turkey

Mrs. Zeliha Coskun Tas is a distinguished researcher in the field of Biomedical Engineering, currently serving as a Research Assistant at Kocaeli University, Faculty of Technology, Biomedical Engineering Department. She is actively pursuing her Ph.D. at the Institute of Science, Kocaeli University, where she also completed her Master’s degree, following her Bachelor’s degree in Biomedical Engineering from Erciyes University. Her research expertise encompasses biomaterials, biometals, bioceramics, and functionally graded biomaterials, with a strong emphasis on developing innovative bioactive implant interfaces and evaluating biomechanical performance in medical applications. Zeliha Coskun Tas has authored and co-authored several impactful publications in high-ranking SCI-E journals, including the Journal of Biomedical Materials Research: Part A, World Neurosurgery, and the Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine. Her study, “A Novel Radially Graded Hydroxyapatite-Based Composite for Bioactive Implant Interfaces,” reflects her commitment to advancing bioengineering materials for enhanced implant functionality. In addition, she has presented multiple peer-reviewed papers at international conferences in Italy and Turkey, focusing on 3D printing applications, biomechanical testing, and advanced implant design. Her research contributions have also extended to nationally funded projects supported by Kocaeli University’s Scientific Research Project Unit (BAP), where she played a leading role in projects such as Production and Characterization of Functionally Graded Ceramic and Polymer Doped Titanium Implants and Development of an Apparatus Design for Radial Gradient Powder Material Casting. Her earlier project, Development of Torsion and Four-Point Bending Test Systems for Finger and Toe Bones, demonstrates her interdisciplinary approach linking materials science and biomechanics. Beyond research, she actively contributes to the scientific community through peer reviews for reputed journals such as the Journal of Materials Engineering and Performance, Sakarya University Journal of Science, and Physical and Engineering Sciences in Medicine. A recipient of the TÜBİTAK 2211-C and 2214-A scholarships, she continues to pursue excellence in biomedical research with a focus on creating advanced, sustainable, and biocompatible materials for medical innovation. Through her dedication, academic rigor, and innovative research, Res. Asst. Zeliha Coskun Tas exemplifies the new generation of biomedical engineers shaping the future of healthcare technology.

Profiles: Google Scholar

Featured Publications

Coşkun, Z., Çelik, T., & Kişioğlu, Y. (2023). Metatarsal bone model production using 3D printing and comparison of material properties with results obtained from CT-based modeling and real bone. Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine, 5.

Coşkun, Z., Çelik, T., & Kişioğlu, Y. (2021). Design and manufacture of the torque test setup for small and shapeless materials. Turkish Journal of Engineering, 6(1), 81–86.

Coşkun, Z., Çelik, T., & Kişioğlu, Y. (2021). Comparison of the stress distribution between high-heeled and flat shoes on the first metatarsal bone. Politeknik Dergisi, 24(3), 1303–1308.

Çelik, T., & Coşkun Taş, Z. (2024). Biomechanical evaluation of a newly developed functional-grade composite material for pedicle screws. World Neurosurgery, 187, e525–e533.

Coşkun Taş, Z., & Çelik, T. (2022). Design of new pedicle screw and biomechanical evaluation using finite element analysis. 3rd International Conference on Applied Engineering and Natural Sciences, 1.

Aasma Shaukat | Clinical Trials and Statistical Designs | Best Researcher Award

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Dr. Aasma Shaukat | Clinical Trials and Statistical Designs | Best Researcher Award

New York University | United States

Dr. Aasma Shaukat, M.D., M.P.H., is an internationally acclaimed gastroenterologist, epidemiologist, and academic leader recognized for her transformative contributions to colorectal cancer prevention, gastrointestinal outcomes research, and population health. She serves as Director of Gastrointestinal Outcomes Research, Robert M. and Mary H. Glickman Endowed Professor of Medicine, Professor of Population Health, Co-Director of the Translational Research Education and Career (TREC) Program, and Program Director for the KL2 Scholars Program at the Clinical and Translational Science Institute at NYU Grossman School of Medicine, while also serving as a staff physician at the VA New York Harbor Healthcare System. Before joining NYU, she led the Gastroenterology Section at the Minneapolis VA Health Care System and was a core investigator at the Center for Chronic Disease Outcomes Research, establishing herself as a national authority in outcomes-based gastroenterology. Dr. Shaukat holds an M.B., B.S. from The Aga Khan University Medical College in Karachi and an M.P.H. in International Health and Epidemiology from Johns Hopkins Bloomberg School of Public Health, followed by residency training in Internal Medicine at the State University of New York and fellowship training in Gastroenterology at Emory University School of Medicine. Board-certified in Internal Medicine and Gastroenterology, she has combined clinical expertise with advanced epidemiologic research to drive evidence-based improvements in digestive health and preventive care. Her research has shaped international colorectal cancer screening practices through landmark studies demonstrating the long-term mortality benefit of fecal occult blood testing, influencing screening guidelines worldwide. With more than 273 peer-reviewed publications and numerous invited lectures, Dr. Shaukat has become one of the most cited researchers in gastroenterology, with an h-index of 50, i10-index of 155, and over 9,245 citations according to Scopus, underscoring her scientific impact. Her work encompasses endoscopic quality improvement, health disparities, cost-effectiveness of screening programs, and novel noninvasive diagnostics for gastrointestinal diseases. In addition to her research, Dr. Shaukat is a dedicated mentor and educator who has guided countless trainees and junior faculty, championing diversity and inclusion in academic medicine. She serves on the Board of Trustees for the American College of Gastroenterology, chairs the Clinical Practice Section of the American Gastroenterological Association Institute, and contributes to several national advisory and planning committees, including ASCO GI, GIQUIC, PCORI, and the VA GI Field Advisory Board. A recipient of numerous prestigious honors such as the ASGE Endoscopic Research Mentoring Award, ACG MVP SCOPY Award for Colon Cancer Prevention, and NYU Research Mentor of the Year Award, she continues to shape the future of gastroenterology through innovation, mentorship, and leadership. Dr. Shaukat’s enduring legacy lies in her ability to merge clinical excellence, epidemiologic insight, and translational impact to advance gastrointestinal health globally and inspire the next generation of physician-scientists committed to research-driven healthcare transformation.

Profiles: Scopus | Google Scholar | Orcid

Featured Publications

Udaikumar, J., Nimmagadda, Shaukat, A.,R., Ingawale, S., Lella, V. V., Vijayakumar, K., et al. (2025). Current perspectives on colorectal cancer screening and surveillance in the geriatric population. Current Gastroenterology Reports, 27(1), 34.

Singal, A. G., Quirk, L., Boike, J., Chernyak, V., Feng, Z., Giamarqo, G., Kanwal, F., … (2025). Value of HCC surveillance in a landscape of emerging surveillance options: Perspectives of a multi-stakeholder modified Delphi panel. Hepatology, 82(3), 794–809.

Shaukat, A., Hu, J., Zhao, Y., Faulx, G., Augustin, A., Murphy, S., Stevens, E., et al. (2025). A randomized clinical trial of multi-level intervention to improve colorectal cancer screening rates at multiple federally qualified health care centers in New York City. Contemporary Clinical Trials, 108115.

Farooque, U., Murtaza, M., Umer, M., Johar, A., Aparna, F., Khan, A. R., Kumar, A., et al. (2025). Advancing health equity through telehealth: A systematic review and meta-analysis of remote vs. in-person weight-loss interventions among Black women with obesity. Current Obesity Reports, 14(1), 72.

Tang, C. Z., Delau, O. R., Katz, S., Axelrad, J. E., Hudesman, D., Shaukat, A., et al. (2025). Mild endoscopic disease activity is associated with adverse outcomes among older adults with inflammatory bowel disease. Alimentary Pharmacology & Therapeutics.

BHASKAR A | Survival Analysis and Reliability | Best Researcher Award

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Mr. BHASKAR A | Survival Analysis and Reliability | Best Researcher Award

SRM Institute of Science and Technology (SRMIST) | India

Mr. Bhaskar A is a highly accomplished academic and industry professional with over two decades of experience in mechanical engineering, manufacturing, and Agile methodologies. Currently serving as an Assistant Professor (Selection Grade) and Scrum Master at SRM Institute of Science and Technology (SRMIST), Ramapuram, he has played a pivotal role in integrating Agile practices into engineering education, mentoring teams, and enhancing organizational productivity. His educational journey includes an MBA from Annamalai University, an M.E. in Manufacturing Engineering from Madras Institute of Technology, and a B.E. in Mechanical Engineering from the University of Madras, and he is presently pursuing a part-time Ph.D. in Lean Manufacturing from Anna University. Over his career, he has held positions as an Assistant Professor at several engineering colleges and worked in industry roles including Production Engineer, contributing to process improvements and team management. Dr. Bhaskar has made significant research contributions in lean manufacturing, mechanical properties of materials, and the application of Agile methodologies, with numerous publications in journals and conferences. Beyond research and teaching, he is dedicated to continuous professional development, having completed multiple Faculty Development Programs, workshops, and online courses in project management, digital manufacturing, materials science, and other emerging technologies, reflecting his commitment to advancing knowledge and fostering innovation in engineering education.

Profiles:  Google Scholar | Linked In

Featured Publications

Alexpandian, A. S., Rajesha, M., Loganathan, P., Hariram, V., & [Y.R.]. (2023). Optimization of machining parameters to improve surface quality in the abrasive water jet cutting of AA6351 aluminium alloy. International Journal of Vehicle Structures & Systems, 15(4), 547–551.

Devaraju, A. B. A. (2025). Integrated ERP lean model for quality enhancement and operational excellence in SME based automotive mould manufacturing. Scientific Reports, 15(35979), 1–16.

Jeffrey, V. P. S. S. J. A., Govindaraj, S., Mahesh, R., Bhaskar, A., Arunkumar, K., & [R.]. (2025). Influence of Fe2O3 nanoparticle-infused waste cooking oil biodiesel on the emission, performance, and combustion aspects towards a cleaner environment. Journal of Environmental Nanotechnology, 14(3), 466–476.

Yoganjaneyulu, G., Perumal, V. S., Sivasankaran, S., Annamalai, B., & Niranjan, T. (2025). Strategic method to enhancing the formability of Nitinol foils via micro-incremental sheet forming processes and evaluation of structure–property. Metals and Materials International, 1–15.

Hepsi, B. M. J., Bhaskar, A., Rekha, R. S., & Vasanthi, P. (2024). Wear behavior of hemp-flax-glass fibre hybrid composite material. Advances in Additive Manufacturing Technologies, 75–79.

Arun Kumar Gudivada | Statistical Applications in Engineering | Best Researcher Award

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Assoc Prof. Dr. Arun Kumar Gudivada | Statistical Applications in Engineering | Best Researcher Award

Aditya University | India

Assoc. Prof. Dr. Arun Kumar, currently Associate Professor in the Department of Electronics & Communication Engineering at Aditya University, Surampalem, is an emerging researcher whose work spans VLSI, quantum computing, and quantum communication. Born in Kakinada, Andhra Pradesh, he obtained his B.Tech and M.Tech from a JNTU Kakinada–affiliated college, and earned his Ph.D. from Pondicherry University. Dr. Arun Kumar has published multiple peer-reviewed articles in well-recognized journals such as the Journal of Computational Science and Journal of Supercomputing, and has also presented at numerous international conferences. He serves as a reviewer for several Springer journals. According to his Google Scholar profile, he currently holds an h-index of 7 with a total of 129 citations across 19 published documents. His research contributions explore the theoretical and practical frontiers of quantum-enabled electronics and communication systems, seeking to bridge classical VLSI design with emerging quantum paradigms. He is committed to mentoring students and fostering collaborative research in the evolving fields of quantum technologies and nano-electronics.

Profiles: Scopus | Google Scholar

Featured Publications

Reddy, T. V., Kandadi, R., Suresh, R., Arunkumar, G. A., Kalli, S. R., & D, S. (2025). Design, modeling and comparative analysis of SRAM performance and functionality under the subthreshold regime for various technologies. 2025 Fourth International Conference on Smart Technologies, Communication …

Gudivada, A. A., Sattibabu, G., & Relangi, A. K. (2025). Power, area, and delay efficient synchronous ring counter using clock gating and multi-bit flip-flops in QCA technology. International Journal of Electronics Letters, 1–11.

Bhoopathi, A. A., R., R., Sailaja, C., Jennifer, D., & Gudivada, A. (2025). A study on microstructures and physical properties of high-entropy alloys and materials. Oxidation Communications, 48(1), 162–171.

Gudivada, A. A., Avala, E., Gummarekula, S., & Tulasi, V. R. (2025). ST-QCA based error free and area efficient 4:2 compressor design. Recent Trends in VLSI and Semiconductor Packaging, 111–118.

Noorbasha, S. K. (2024). VME-EFD: A novel framework to eliminate the electrooculogram artifact from single-channel EEGs. Biomedical Physics & Engineering Express, 11(1), 015041.