Catherine Barker | Dermatology | Best Researcher Award

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Dr. Catherine Barker | Dermatology | Best Researcher Award

 Dr. Dermatology Resident.,  Medical University of South Carolina, United states

Catherine Shirer Barker, MD, is a distinguished dermatology resident at the Medical University of South Carolina. Born and raised in South Carolina, she earned her Bachelor of Science in Biological Sciences with a Spanish minor, graduating Summa Cum Laude from the University of South Carolina Honors College. She pursued a Doctor of Medicine degree at MUSC College of Medicine, completing medical school, followed by a preliminary internal medicine year. Her professional journey reflects a consistent commitment to patient care, medical education, and research excellence. Fluent in Spanish, she has worked extensively with underserved populations and volunteered as a medical interpreter, bridging linguistic and cultural gaps in healthcare delivery. Catherine’s multidisciplinary background, linguistic skills, and proactive leadership make her a dynamic early-career physician dedicated to advancing dermatologic care, global health, and health equity.

Professional Profile

ORCID

Education 

Dr. Barker earned her Bachelor of Science in Biological Sciences with a Spanish minor from the University of South Carolina Honors College, graduating Summa Cum Laude. Her undergraduate thesis explored physician perceptions of medication nonadherence among diabetic immigrant patients. She went on to pursue her Doctor of Medicine degree at the MUSC College of Medicine. Following medical school, she completed a preliminary internal medicine residency at MUSC, which provided a strong foundation in internal medicine. She is currently in her dermatology residency at MUSC. Throughout her training, she has maintained certification in Advanced Cardiac Life Support (ACLS) and completed comprehensive CITI training, including Good Clinical Practice for behavioral research, biomedical investigations, human subjects protection, and ICH guidelines for investigational trials. This educational path demonstrates her dedication to clinical medicine, research ethics, and specialized dermatologic care.

 Research Experience 

Dr. Barker’s research portfolio is both broad and impactful. As a medical student at MUSC, she contributed to major dermatopathology research, including a retrospective analysis of 879 direct immunofluorescence (DIF) specimens in bullous diseases, where she demonstrated that n-serrated waves should not exclude bullous lupus and that u-serrated patterns had limited sensitivity for diagnosis. At local free clinics in Charleston, she led a project identifying dermatologic care gaps among uninsured patients, managed IRB applications, surveyed seven clinics, and created a prescribing guide to reduce misdiagnoses. She also co-authored a retrospective study on nurse navigation’s impact on timelines to care in breast pathology, reinforcing the value of improved care coordination. Her undergraduate research addressed diabetic polypharmacy outcomes in hospital stays and explored IL‑33/ST2 pathways in tumorogenesis in murine models. Across these roles, she has been involved in data collection, protocol development, literature review, manuscript writing, IRB applications, and cross-disciplinary collaboration.

Research Focus 

Dr. Barker’s primary research interests lie at the intersection of dermatopathology, inflammatory/connective tissue dermatologic disease, and health equity. She is especially focused on serration patterns (u- versus n-serrated) in direct immunofluorescence specimens to refine diagnostic criteria for bullous diseases (e.g., bullous pemphigoid, epidermolysis bullosa acquisita, and bullous lupus). She also investigates practical solutions to improve dermatologic access in underserved populations by implementing teledermatology programs, optimizing prescribing practices in free clinics, and assessing care delivery gaps between primary care providers and specialists. Her work extends to exploring immunomodulatory treatments—such as using dupilumab for actinic prurigo—and dermatologic implications of connective tissue and mycobacterial diseases. Moreover, her interest in global health and equitable access is evident in her outreach to uninsured and immigrant patient groups. Dr. Barker seeks to integrate clinical insights with novel diagnostic and therapeutic pathways to advance skin disease care in both academic and community settings.

Publication Top Notes

  1. Hudson K, Barker C, Oates J, Williams K. Rheumatologic manifestations in an X-linked chronic granulomatous disease carrier. American Journal of Medical Science. Accepted July 2025.
    Summary: Case series exploring autoimmune and rheumatologic features in female carriers of CGD—a novel clinical lens on CGD heterozygosity.

  2. Sagut P, Lyles E, Vroman J, Barker C, Juratli H, Bruner E, Self S, Elston D. A Comparative Study of Direct Immunofluorescence Patterns in Linear IgA Bullous Dermatosis versus Dermatitis Herpetiformis. American Journal of Dermatopathology. Published November 2024.
    Summary: Direct immunofluorescence patterns compared between two blistering disorders to improve differentiation and diagnostic accuracy.

  3. Barker C, Elston D, Lee K. Generalized Fixed Drug Eruption: A Case Series and Literature Review. Cutis, July 2024.
    Summary: Case series of generalized fixed drug eruptions, synthesizing treatment outcomes and literature-based management comparisons.

  4. Barker C, Elston D. Asymptomatic Erythematous Plaque in an Outdoorsman. Cutis, April 2024.
    Summary: Clinical vignette of an outdoor-activity-related dermatologic presentation, highlighting diagnostic considerations.

  5. Barker C, McGovern TW, Elston DM. Botanical Briefs: Phototoxic Fig Trees. Cutis, April 2024.
    Summary: Educational brief describing plant‑induced phototoxic dermatoses related to fig tree exposures.

  6. Barker C, Sattele L, Strat N, Snyder A, Siegel M, Wine Lee L. Dupilumab as Treatment for Actinic Prurigo. JAAD Case Reports, March 2024.
    Summary: Case series documenting success of dupilumab in treating refractory actinic prurigo, offering mechanistic and therapeutic insights.

  7. Barker C, Bruner E, Self S, Elston D. U‑Serrated and N‑Serrated Patterns in Bullous Pemphigoid, Epidermolysis Bullosa Acquisita, and Bullous Lupus: A Retrospective Observational Study. Journal of the American Academy of Dermatology, Feb 2024.
    Summary: Large DIF study examining serrated immunofluorescence patterns to refine diagnostic thresholds for bullous dermatoses—finding n-serration not exclusionary for lupus and low sensitivity of u-serration for bullous lupus.

  8. Barker C, Alshaikh H, Elston D. Dermatology Practice Updates in Mycobacterial Disease. International Journal of Dermatology, Dec 2023.
    Summary: Review article summarizing emerging diagnostic and treatment modalities in dermatologic manifestations of mycobacterial infection.

  9. Chung C, Barker C, Mukherjee R, et al. The Impact of Nurse Navigation on Timeliness to Treatment for Benign Breast Pathology. Breast Cancer Research and Treatment, Aug 2023.
    Summary: Study linking nurse navigation programs with shorter referral-to-treatment intervals in high-risk benign breast lesions.

  10. Lateef A, Barker C, Snyder A, et al. Adverse events seen with fillers. Dermatology Reviews, July 2023.
    Summary: Review of complications associated with cosmetic fillers, with recommendations for prevention and management.

Conclusion

Dr. Catherine Shirer Barker stands out as an exceptionally strong candidate for a Best Researcher Award, particularly in early-career or resident categories. Her work bridges clinical dermatology, social determinants of health, and translational science with notable clarity, productivity, and compassion. With continued trajectory toward independent funding and broader-scale research leadership, she is poised to become a national leader in dermatologic research.

 

Mruganxi Harshad Sharma | Food Science and Technology | Best Researcher Award

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Ms. Mruganxi Harshad Sharma | Food Science and Technology | Best Researcher Award

PhD Student, Prince of Songkla university, Thailand

Mruganxi Harshad Sharma is a dynamic and emerging researcher in the field of Food Science and Microbiology, currently pursuing his Ph.D. at Prince of Songkla University, Thailand. With a solid academic foundation in microbiology from Veer Narmad South Gujarat University and over two years of hands-on research and lab experience, Mruganxi is passionate about advancing food safety through molecular, microbiological, and innovative non-thermal techniques. His work has contributed to addressing critical challenges such as antimicrobial resistance and pathogen control in seafood and meat products. He has published in reputed journals like Foods and International Journal of Food Science and Technology, showcasing his ability to apply novel scientific tools like cold plasma and bioactive compound conjugates in food preservation. His collaborative projects and award-winning presentations underline his commitment to impactful, solution-oriented research that bridges microbiology, technology, and public health.

Professional Profile

Scopus | Google Scholar | ORCID

Education

Mruganxi Harshad Sharma’s educational journey reflects a strong foundation in life sciences and a focus on applied microbiology. He is currently pursuing a Ph.D. in Food Science and Technology at Prince of Songkla University, Thailand. Prior to this, he completed his M.Sc. in Microbiology from Veer Narmad South Gujarat University in Surat, India, graduating with a CGPA of 6.73 in 2021. He earned his B.Sc. in Microbiology with a CGPA of 6.27 from Shree Ramkrishna Institute of Computer Education and Applied Sciences in Surat in 2019. His earlier academic background includes secondary education from Jay Ambe Vidhyabhavan under the Gujarat State Board (70.5%) and his schooling at Divine Child High School under CBSE (8.4 CGPA). This academic progression underscores his consistent focus on biological sciences, enabling him to develop both technical and research-oriented skills essential for tackling food safety, microbial control, and bioprocessing challenges.

Professional Experience

Mruganxi has developed robust laboratory and research skills through diverse professional roles. From October 2021 to October 2022, he worked as a Microbiologist at the Pacific School of Engineering, affiliated with the Environmental Audit Cell of the Gujarat Pollution Control Board. In this role, he performed microbiological analysis related to water and air quality, ensuring regulatory compliance. Prior to that, he served as a Lab Technician at the RT-PCR Laboratory at Veer Narmad South Gujarat University from April 2021 to October 2021. There, he conducted PCR analyses for viral detection, nucleic acid extraction, and reagent preparation. These positions have equipped him with practical experience in molecular biology, environmental monitoring, and analytical instrumentation. His transition into academia and research was a natural evolution, driven by his interest in food safety, microbiological innovations, and public health. His professional experiences enrich his Ph.D. research by grounding it in real-world applications and industry needs.

Awards and Honors

Mruganxi Harshad Sharma has earned recognition for both academic excellence and extracurricular engagement. Most notably, he received the Best Graduate Student Oral Presentation Award at the prestigious International Symposium on Natural Product Innovation and Commercialization (NPIC) in Satun, Thailand, in November 2024. His ability to communicate complex research findings effectively has also been acknowledged through his active participation in various scientific forums and student activities. He took part in a World Water Day quiz organized by the Uttarakhand Pollution Control Board in March 2022 and participated in multiple quiz and drama competitions organized by the Undergraduate Association of Microbiologists (UGAM) in 2018 and 2019. In March 2018, he won third prize for presenting a biology model at an inter-college science competition. These achievements reflect his well-rounded personality, strong communication skills, and his enthusiasm for science outreach—essential traits for a modern researcher and academic leader.

Research Focus

Mruganxi Sharma’s research lies at the intersection of food microbiology, food safety, and advanced preservation technologies. He is particularly focused on developing novel, sustainable antimicrobial strategies to combat foodborne pathogens such as Vibrio parahaemolyticus and multidrug-resistant bacteria in seafood. His investigations explore the use of chitooligosaccharide-epigallocatechin gallate conjugates, non-thermal high-voltage atmospheric cold plasma, and Maillard reaction products derived from protein hydrolysates as safe alternatives for food preservation. His work is highly relevant to the seafood industry, food packaging, and global health, aiming to reduce antibiotic reliance while improving food shelf life and sensory attributes. Through interdisciplinary collaboration, Mruganxi applies molecular tools, biochemical assays, and sensory evaluation methods to validate the efficacy of these emerging interventions. His vision is to bridge microbiological science and real-world applications, ensuring food security and public health safety. His research supports the Sustainable Development Goals (SDGs), particularly those related to food and health.

Publication Top Notes

Title: Physical, textural, microbiological, and sensorial properties and oxidative stability of chicken patty fortified with Maillard reaction products derived from salmon frame (Salmo salar) protein hydrolysate


Journal: International Journal of Food Science and Technology (2025)
DOI: 10.1093/ijfood/vvae020
Contributors: Sharma, K.; Sharma, M.H.; Buatong, J.; Fu, Y.; Benjakul, S.
Summary: This study evaluates the integration of Maillard reaction products derived from salmon protein into chicken patties to enhance their oxidative stability, microbiological quality, and sensory characteristics. Results showed improved shelf life and consumer acceptance, providing an effective bio-based solution in processed meat products.

Title: Impact of Chitooligosaccharide Conjugated Epigallocatechin Gallate and Non-Thermal High-Voltage Atmospheric Cold Plasma on Vibrio parahaemolyticus: An In Vitro Study and the Use in Blood Clam Meat


Journal: Foods (2025-07-23)
DOI: 10.3390/foods14152577
Contributors: Sharma, M.H.; Singh, A.; Singh, Ankita; Benjakul, S.; Palamae, S.; Mittal, A.; Buatong, J.
Summary: This paper investigates the synergistic antimicrobial effect of a chitooligosaccharide–epigallocatechin gallate (COS–EGCG) conjugate and cold plasma on Vibrio parahaemolyticus in clam meat. The study demonstrates significant pathogen reduction without compromising sensory quality, highlighting a promising method for seafood safety.

Title: Multidrug-Resistance of Vibrio Species in Bivalve Mollusks from Southern Thailand: Isolation, Identification, Pathogenicity, and Their Sensitivity toward Chitooligosaccharide-Epigallocatechin-3-Gallate Conjugate


Journal: Foods (2024)
DOI: 10.3390/foods13152375
Contributors: Sharma, M.H.; Palamae, S.; Yingkajorn, M.; Benjakul, S.; Singh, A.; Buatong, J.
Summary: This study characterizes multidrug-resistant Vibrio species isolated from bivalve mollusks and evaluates the antimicrobial effects of COS–EGCG. Findings provide valuable insights into controlling seafood-borne pathogens using bio-based alternatives and support future applications in the seafood industry.

Conclusion

Mruganxi Harshad Sharma is a promising young researcher whose work bridges scientific innovation and practical applications in food safety and microbiology. His interdisciplinary focus, publication record, and dedication to improving food quality through modern scientific approaches make him a compelling candidate for the Best Researcher Award.

 

Dr. Seltene Abady | Agricultural Science and Innovation | Best Researcher Award

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Dr. Seltene Abady | Agricultural Science and Innovation | Best Researcher Award

Postdoctoral Research Fellow, University of KwaZulu-Natal, South Africa

Dr. Seltene Abady Tesfamariam is a dedicated plant breeder committed to enhancing agricultural resilience in Eastern and Southern Africa. He earned a PhD in Plant Breeding from the University of KwaZulu‑Natal (2018–2021), supported by an OFID scholarship under CGIAR. Currently a Postdoctoral Fellow at the African Centre for Crop Improvement (since 2023), he previously led the National Groundnut Research Program in Ethiopia and served as Assistant Professor at Haramaya University. With over two decades of experience in research and teaching, Dr. Tesfamariam specializes in breeding drought‑tolerant groundnut, sorghum, maize, and wheat, integrating genetics, field trials, and advanced statistical tools. He has secured multiple grants and training awards, making him a recognized leader in agricultural innovation, capacity building, and sustainable food systems in Africa.

Professional Profile

ORCID

Education

Dr. Tesfamariam’s academic path combines solid foundational training with rigorous postgraduate specialization. He completed a BSc in Plant Sciences (2003–2006) and an MSc in Plant Breeding (2011–2013) at Haramaya University, Ethiopia, focusing on crop genetics and breeding under local agronomic conditions. He went on to earn a PhD in Plant Breeding from the University of KwaZulu‑Natal, South Africa (2018–2021), supported by an OFID/CGIAR scholarship. His doctoral work employed genome-wide association studies and advanced statistical analysis to dissect drought tolerance traits in groundnut. During this period, he also participated in numerous high‑level trainings—such as ASReml‑R modeling, meta‑analysis of research, and demand‑led variety design—shaping both theory and practice in modern plant breeding.

Professional Experience

Dr. Tesfamariam has more than 17 years of progressive agricultural research and academic experience. From 2007 to 2013, he worked as an Assistant Researcher at the Ethiopian Agricultural Research Institute, including leading SIMLESA projects at Pawe Research Center. He then transitioned to Haramaya University, serving as Lecturer (2013–2016) and Assistant Professor (2017–2023), where he taught plant breeding, supervised students, conducted field trials, and led local crop improvement initiatives. He coordinated Ethiopia’s National Groundnut Research Program (2015–2017), driving variety development and stakeholder engagement. Since 2023, he has been a Postdoctoral Fellow at the African Centre for Crop Improvement at the University of KwaZulu‑Natal, focusing on enhancing stress resilience in African staple crops. His experience spans applied genomics, extension outreach, and leadership of multi‑institutional research teams.

Awards and Honors

Dr. Tesfamariam has earned recognition through competitive grants and training awards tied to innovation and crop improvement. He received the OFID scholarship under CGIAR to support his doctoral studies. In 2019, he was awarded funding from the International Foundation for Sciences (IFS), Stockholm. In 2021, he secured a Haramaya University research grant on transpiration efficiency in groundnut. In 2023, he received an Africa UniNet award on gender‑inclusive peanut production and aflatoxin mitigation. He has participated in prestigious international training programs—including ACIAR’s ASReml‑R workshop (2024), ICRISAT’s drought‑tolerance breeding initiative (2018–2020), and meta‑analysis and demand‑led variety design courses at KwaZulu‑Natal and Makerere. Professional memberships include the Southern Africa Plant Breeders’ Association and the Crop Science Society of Ethiopia.

Research Focus

Dr. Tesfamariam’s research is centered on breeding climate‑resilient cultivars to improve food security in drought‑prone regions of Africa. He specializes in groundnut, sorghum, maize, and wheat, targeting traits such as drought tolerance, early maturity, water‑use efficiency, harvest index, and carbon storage. His approach integrates genome-wide association studies (GWAS), SNP markers, advanced statistical modeling (e.g. ASReml‑R), and field experimentation across diverse agro‑ecologies. He examines physiological traits—transpiration efficiency, proline accumulation, nitrogen use—and their genetic basis. His work also addresses aflatoxin contamination and gender‑inclusive peanut production strategies. Collaboration with institutions like ICRISAT, Cranfield University, and regional universities has enabled multidisciplinary innovation. His goal is development and deployment of improved varieties that support nutrition, farm resilience, and sustainable intensification under climate stress.

Publication Top Notes

  • Breeding for resistance to maize streak virus: Challenges, progress and future directions

Frontiers in Plant Science, 2025. Contributors: Mushayi, Malven; Shimelis, Hussein; Derera, John; Tesfamariam, Seltene Abady.
Summary: A comprehensive review of breeding efforts against maize streak virus, synthesizing progress in genetic resistance and outlining future breeding strategies tailored to African maize systems.

  • Genetic diversity and population structure analyses of tropical maize inbred lines using SNP markers

PLOS ONE, 2025. Contributors: Rodreck GununduID; Hussein Shimelis; Seltene Abady Tesfamariam.
Summary: This study uses SNP genotyping to dissect population structure in tropical maize, highlighting key diversity patterns to inform parent selection in breeding programs.

  • Progress in Sorghum Improvement for Early Maturity, Harvest Index, and Water‑Use Efficiency

Food and Energy Security, 2025. Contributors: Byamungu Lincoln Zabuloni; Hussein Shimelis; Seltene Abady Tesfamariam; Maryke Labuschagne; Elize Botha.
Summary: Evaluates sorghum genotypes for proxy traits associated with drought tolerance; identifies early‑maturing lines with superior harvest index and water‑use efficiency.

  • Genetic Parameters and Trait Associations in Wheat Under Drought and Low Nitrogen Conditions

Nitrogen, 2024. Contributors: Sbongeleni Warren Duma; Hussein Shimelis; Seltene Abady Tesfamariam; Toi Tsilo.
Summary: Examines wheat under water and nitrogen stress, quantifying trait correlations—vital for selection of dual‑stress tolerant lines under resource‑limited settings.

  • Genetic variation and association of yield, yield components, and carbon storage in sorghum genotypes

BMC Genomic Data, 2024. Contributors: Asande Ngidi; Hussein Shimelis; Seltene Abady; Vincent Chaplot; Sandiswa Figlan.
Summary: Links yield and biomass traits in sorghum with carbon storage potential, informing breeding for both productivity and soil carbon offset benefits.

  • Genome‑wide association analysis for drought tolerance and component traits in groundnut gene pool

Euphytica, 2024. Contributors: Abady, Seltene; Shimelis, Hussein; Janila, Pasupuleti; Wankhade, Ankush; Chimote, Vivek P.
Summary: Identifies marker-trait associations for key drought adaptive traits in groundnut germplasm; supports marker-assisted selection for stress resilience.

  • Response of Sorghum bicolor genotypes for yield and carbon storage in shoot and root systems

Scientific Reports, 2024. Contributors: Asande Ngidi; Hussein Shimelis; Seltene Abady; Sandiswa Figlan; Vincent Chaplot.
Summary: Field trial assessment of sorghum varieties for biomass partitioning and organic carbon storage under varying management regimes.

Conclusion

Dr. Seltene Abady Tesfamariam exemplifies the qualities of a Best Researcher Award recipient. His research directly addresses pressing challenges in African agriculture—climate change adaptation, food security, and sustainable crop production. With an exceptional blend of scientific rigor, leadership, training, and international engagement, he has significantly advanced the field of plant breeding and made lasting contributions to the agricultural development of the region. He is, without doubt, a highly deserving candidate for this prestigious recognition.

Hüseyin Sendir | Earth Sciences | Best Researcher Award

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Assist. Prof. Dr. Hüseyin Sendir | Earth Sciences | Best Researcher Award

Asst. Prof. Dr., Eskişehir Osmangazi University, Turkey

Dr. Hüseyin Sendir is an Assistant Professor of Geological Engineering at Eskişehir Osmangazi University, Turkey, with a Ph.D. (2009) in Geological Engineering from the same institution. His early career research focused on rock mechanics, landslide risk, and structural geology, as reflected in high‑impact papers such as his widely cited 2002 study on gypsum strength correlations. Over two decades his scholarship expanded into mineral deposit geology, isotopic geochemistry, and even planetary mining studies. He serves in multiple academic and quality commissions at his university, and currently holds leadership roles including Deputy Head of Department.

Professional Profile

Scopus | Google Scholar | ORCID

Education

Dr. Sendir completed his Bachelor of Engineering in Geological Engineering at Sivas Cumhuriyet University (1995–1999), followed by two Master’s degrees: at Cumhuriyet University (1999–2001) and at Eskişehir Osmangazi University (2001–2004), both thesis‑based in Geological Engineering. He earned his Ph.D. from Eskişehir Osmangazi University’s Institute of Science (2004–2009), specializing in geological engineering. His doctoral research investigated rock mechanics, geomechanical behavior, and field‑based measurements, which underpinned his later contributions to landslide analysis and compressive strength modeling. His formal academic training blends engineering fundamentals, field geology, and advanced isotopic and mineralogical methods.

Experience

Since completing his doctorate in 2009, Dr. Sendir has served as faculty in the Department of Geological Engineering at Eskişehir Osmangazi University. He was Head of Department from 2015 to 2016, again 2017–2022, and since 2023 has been Deputy Head. He is regularly a member of academic, quality‑assurance and accreditation commissions affiliated with the university and faculty—including roles in curriculum development and stakeholder engagement. In 2025 he also joined the Department Academic Incentive Evaluation Commission. His administrative service reflects sustained leadership in shaping educational quality and academic policy within the engineering faculty. Simultaneously, he taught postgraduate and doctoral courses in topics such as isotope geology and rare earth elements, supervising master’s theses and contributing to the academic development of the department.

Research Focus

Dr. Sendir’s research spans applied geological engineering, mineral deposit geology, isotope geochemistry, and emerging frontiers like planetary mining. His early landmark work established empirical correlations between Schmidt hammer rebound indices and rock mechanical properties (UCS, Young’s modulus) in gypsum—widely cited and used as a benchmark in rock mechanics. He has contributed to the geomorphological and geomechanical analysis of landslides in the North Anatolian Fault Zone. More recent work explores chromium and manganese deposits in Türkiye, Eocene granitoid magmatism and tectono‑magmatic evolution in NW Anatolia, and geochemical and isotopic controls on gold, copper‑molybdenum‑tungsten‑gold systems in porphyry‑skarn complexes. His research is deeply interdisciplinary, blending fieldwork, petrography, isotopic dating, and geochemistry, with growing interest in extraplanetary resource environments like lunar and Martian mining. He positions geological engineering at the intersection of energy, resources, and environmental resilience.

Publication Top Notes

  1. Yılmaz I, Sendir H. Correlation of Schmidt hardness with unconfined compressive strength and Young’s modulus in gypsum from Sivas (Turkey). Engineering Geology 66 (3–4): 211–219 (2002).

    • This empirical study developed regression relationships between Schmidt rebound values and mechanical properties of gypsum, providing fast, field‑based strength estimation tools for engineering geology; the work has been cited hundreds of times ResearchGate.

  2. Sendir H, Yılmaz I. Structural, geomorphological and geomechanical aspects of the Koyulhisar landslides in the North Anatolian Fault Zone (Sivas, Turkey). Environmental Geology 42(1): 52–60 (2002).

    • Investigated the 1998–2000 landslides through joint structural mapping, slope stability criteria (SMR/RMR), rainfall data and geomorphology; demonstrated the influence of faulting, steep topography and heavy precipitation on landslide activation ResearchGate.

  3. Sendir H. Arifler (Domaniç, Kütahya) yöresi manganöz cevherleşmesinin jeolojik özellikleri. Eskişehir Osmangazi Üniversitesi Mühendislik ve Mimarlık Fakültesi Dergisi (2020).

    • Documented geological setting, stratigraphy, and mineralization of manganese deposits hosted in Cretaceous mélange units near Domaniç, offering regional insights into ultramafic‑hosted ore systems avesis.ogu.edu.tr+2ResearchGate+2DergiPark+2.

  4. Sendir H, Yasin D, Karabacak V. Jeoloji Mühendisliği Güncel Çalışma Alanları. Eskişehir Osmangazi Üniversitesi Mühendislik ve Mimarlık Fakültesi Dergisi, 31(4): 1087–1093 (Dec 2023).

    • A comprehensive review of historical and contemporary research directions in geological engineering in Türkiye, covering educational developments, research themes and future horizons avesis.ogu.edu.tr+2DergiPark+2ResearchGate+2.

  5. Kocatürk H, Kumral M, Creaser RA, Dufrane SA, Ünlüer AT, Sendir H, et al. Magmatic Redox Evolution and Porphyry–Skarn Transition in Multiphase Cu‑Mo‑W‑Au Systems of the Eocene Tavşanlı Belt, NW Türkiye. Minerals 15(8):792 (2025).

    • Employing field mapping, whole‑rock geochemistry, Re–Os molybdenite dating and mineral chemistry, this open‑access article explains magmatic controls on porphyry to skarn mineralization across four mineralized zones in the Nilüfer complex mdpi.com+1ResearchGate+1.

  6. Umucu Y, Ünal N, Deniz V, Gürsoy YH, Sendir H. Investigation of ball mill optimization based on kinetic model and separator particle‑size separation. Physicochemical Problems of Mineral Processing (2025).

    • Presented a kinetic breakage model linking mill capacity, shaft power, and particle size distribution; suggests operational relationships to improve energy efficiency in dry ball‑mill grinding circuits

Conclusion

Overall, Asst. Prof. Hüseyin Sendir’s longstanding commitment to academic service, teaching excellence, and research — particularly his early, highly cited geotechnical studies and recent ventures into cutting-edge areas like extraterrestrial mining — illustrate a dynamic and evolving academic trajectory. Given his contributions to both scientific knowledge and institutional development, he is a strong candidate for the Best Researcher Award, and recognition at this stage would both honor his past work and encourage further high-impact contributions in the years ahead.

Hanlin Zhan | Advanced Electric Machine and Drives | Best Researcher Award

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Prof. Hanlin Zhan | Advanced Electric Machine and Drives | Best Researcher Award

Tenured Full Professor, Harbin Institute of Technology (Shenzhen), China

Prof. Hanlin Zhan, born on April 26, 1990, is a Full Professor at Harbin Institute of Technology (Shenzhen), specializing in electrical engineering with a focus on advanced electric drive technologies. He earned his Ph.D. from the University of Sheffield, supported by Siemens-Gamesa, and completed postdoctoral research through the Tsinghua University–Midea Group collaboration. Prof. Zhan has a rich academic and industrial background, having led cutting-edge research at Midea’s Institute of Robotics and Automations. His work is widely published in IEEE Transactions, contributing significantly to sensorless control, PMSM drives, and high-efficiency electric motors. With over 30 million RMB in research funding, he continues to bridge academia and industry. Recognized with awards such as the “Outstanding Young Professor” and Huawei’s “Spark Prize,” he remains a driving force in the electrification of robotics, EVs, eVTOLs, and smart appliances.

Professional Profile

Scopus | Google Scholar | ORCID

Education

Prof. Hanlin Zhan’s educational journey reflects a balance of foundational knowledge and advanced specialization. He earned his Bachelor’s and Master’s degrees in Electrical Engineering from Harbin Institute of Technology (HIT), where he studied under Prof. Gaolin Wang from the esteemed group of Prof. Dianguo Xu. He later pursued a Ph.D. at the University of Sheffield (2014–2017), with his research funded by Siemens-Gamesa and supervised by Prof. Z.Q. Zhu—renowned for his contributions to electric machines. His thesis work was embedded in real-world applications, aligning with industrial innovations. Following this, Prof. Zhan completed a competitive postdoctoral fellowship (2017–2019) through the Midea Group–Tsinghua University Joint Program, mentored by Prof. Xi Xiao. This multidisciplinary exposure enabled him to integrate academic rigor with industrial demands, forming a solid basis for his future research in electric drives and intelligent systems.

Experience

Prof. Hanlin Zhan’s professional experience bridges high-level academia and transformative industry research. He began his career at Midea Group’s Corporate Research Center, serving from 2017 to 2020. There, he quickly advanced from Staff Engineer in the Institute of Motor and Drives to Senior Staff Engineer and Founder of the Institute of Robotics and Automations. In 2020, he transitioned to academia as a Tenured Associate Professor at Harbin Institute of Technology (Shenzhen), where his research and teaching significantly impacted the Department of Robotics and Advanced Manufacture. In December 2024, he was promoted to Full Professor. His career is marked by leadership in high-value projects (over 30 million RMB) and the establishment of collaborative platforms between academic institutions and industrial innovators. His cross-functional experience positions him as a thought leader in intelligent electromechanical systems, making substantial contributions to China’s high-performance robotics and electrified transport sectors.

Awards and Honors

Prof. Hanlin Zhan has received numerous prestigious honors for his contributions to electric drive systems and robotics. He was awarded the First Prize in the Science and Technology Award by the China National Light Industry Council, acknowledging his groundbreaking work in smart appliances. The Harbin Institute of Technology recognized him as an “Outstanding Young Professor,” an honor bestowed for excellence in research, teaching, and innovation. Notably, he received the “Spark Prize” from HUAWEI Technologies, highlighting his influence on intelligent hardware design. He was also globally selected for the elite “Midea Star” Global Recruitment Project in 2017—an initiative identifying under-10 international top talents in electrical and automation research. These accolades reflect Prof. Zhan’s continuous impact on industrial transformation, advanced electric machines, and sensorless control methods, reinforcing his role as a leading expert shaping the future of high-efficiency, intelligent electromechanical systems across diverse applications.

Research Focus 

Prof. Hanlin Zhan’s research focuses on high-performance electric drive technologies tailored for robotics, electric vehicles (EVs), electric vertical take-off and landing aircraft (eVTOLs), and smart home appliances. His work emphasizes sensorless control, high-efficiency motor design, and advanced position estimation methods. He has made pioneering contributions to the modeling and suppression of harmonic errors in IPMSM drives, development of novel vernier and hybrid excited machines, and the integration of zero-sequence current suppression techniques in open-winding PMSM systems. Through strong collaborations with industrial giants like Midea and Siemens-Gamesa, Prof. Zhan ensures that his research directly impacts the market-ready products and sustainable mobility solutions. His lab also explores adaptive feedback control, modular machines, and drive efficiency optimization. This comprehensive approach positions him at the frontier of electrification and automation technologies, where performance, precision, and reliability are paramount.

Publication Top Notes

  1. Adaptive compensation method of position estimation harmonic error for EMF-based observer in sensorless IPMSM drives
    G. Wang, H. Zhan, G. Zhang, X. Gui, D. Xu
    IEEE Trans. Power Electronics, 29(6), pp. 3055–3064, 2014. [Cited by: 256]
    This paper presents a method to compensate harmonic errors in EMF-based position estimators, significantly improving sensorless control accuracy in IPMSM drives.
  2. Analytical on-load subdomain field model of permanent-magnet vernier machines
    Y. Oner, Z.Q. Zhu, L.J. Wu, X. Ge, H. Zhan, J.T. Chen
    IEEE Trans. Industrial Electronics, 63(7), pp. 4105–4117, 2016. [Cited by: 159]
    Introduces an analytical model for PM vernier machines under load, enhancing prediction accuracy of electromagnetic performance.
  3. Enhanced position observer using second-order generalized integrator for sensorless IPMSM drives
    G. Wang, L. Ding, Z. Li, J. Xu, G. Zhang, H. Zhan, R. Ni, D. Xu
    IEEE Trans. Energy Conversion, 29(2), pp. 486–495, 2014. [Cited by: 150]
    Proposes a robust observer utilizing SOGI to improve sensorless control under varying operating conditions.
  4. Self-commissioning of PMSM drives at standstill considering inverter nonlinearities
    G. Wang, L. Qu, H. Zhan, J. Xu, L. Ding, G. Zhang, D. Xu
    IEEE Trans. Power Electronics, 29(12), pp. 6615–6627, 2014. [Cited by: 149]
    Addresses accurate PMSM parameter identification without motion, factoring inverter nonlinearities.
  5. Novel consequent-pole hybrid excited machine with separated excitation stator
    H. Hua, Z.Q. Zhu, H. Zhan
    IEEE Trans. Industrial Electronics, 63(8), pp. 4718–4728, 2016. [Cited by: 141]
    Demonstrates improved flux control in hybrid excitation machines using a novel stator configuration.
  6. Analysis and suppression of zero-sequence circulating current in open winding PMSM drives
    H. Zhan, Z. Zhu, M. Odavic
    IEEE Trans. Industry Applications, 53(4), pp. 3609–3620, 2017. [Cited by: 133]
    Provides insights and control strategies to reduce circulating current in open-winding configurations.
  7. A novel zero-sequence model-based sensorless method for open-winding PMSM
    H. Zhan, Z.Q. Zhu, M. Odavic, Y. Li
    IEEE Trans. Industrial Electronics, 63(11), pp. 6777–6789, 2016. [Cited by: 68]
    Utilizes zero-sequence EMF for sensorless operation, increasing drive robustness.
  8. Efficiency enhancement of general AC drives by remanufacturing induction motors
    R. Ni, D. Xu, G. Wang, X. Gui, G. Zhang, H. Zhan, C. Li
    IEEE Trans. Industrial Electronics, 63(2), pp. 808–820, 2016. [Cited by: 68]
    Proposes cost-effective conversion of IMs into IPMs to boost system efficiency.
  9. Modular PM machines with alternate teeth having tooth tips
    G.J. Li, Z.Q. Zhu, M.P. Foster, D.A. Stone, H.L. Zhan
    IEEE Trans. Industrial Electronics, 62(10), pp. 6120–6130, 2015. [Cited by: 67]
    Investigates novel modular machines for performance and fault tolerance.
  10. Performance comparison of doubly salient reluctance machine topologies
    X.Y. Ma, G.J. Li, G.W. Jewell, Z.Q. Zhu, H.L. Zhan
    IEEE Trans. Industrial Electronics, 63(7), pp. 4086–4096, 2016. [Cited by: 65]
    Assesses different reluctance machine designs under sinewave excitation.

Conclusion

Prof. Zhan is a strong and deserving candidate for the Best Researcher Award, with a proven track record of innovation, impactful research, and industry-oriented contributions.

Shu-Peng Wang | Astronomy and Astrophysics | Best Researcher Award

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Mr. Shu-Peng Wang | Astronomy and Astrophysics | Best Researcher Award

Student, Hunan University of Science and Technology, China

Shu-Peng Wang is a highly promising Undergraduate Researcher at the School of Physics and Electronics, Hunan University of Science and Technology. He has rapidly emerged as a notable young scholar in the fields of theoretical physics and astrophysics. With a deep interest in the equation of state (EoS) of dense matter, Shu-Peng authored a pioneering paper addressing thermodynamic inconsistencies in perturbative QCD by incorporating gravitational wave data such as GW170817. His work has been accepted for an international conference and showcases his expertise in theoretical modeling and numerical analysis. He has also co-authored multiple peer-reviewed publications in The European Physical Journal C, contributing to QCD and axion-related phenomena. Through collaborations with seasoned professors, he has bridged theoretical particle physics with observational astrophysics. Shu-Peng’s research trajectory reflects a rare blend of academic rigor, innovation, and ambition—making him a standout candidate for prestigious recognitions like the Best Researcher Award.

Professional Profile

Scopus | ORCID

Education

Shu-Peng Wang is currently pursuing his Bachelor’s degree in Physics at the School of Physics and Electronics, Hunan University of Science and Technology. As an undergraduate, he has already demonstrated exceptional academic and research capability, often performing at a level comparable to postgraduate scholars. His formal education has included intensive training in classical mechanics, quantum field theory, thermodynamics, and numerical simulations. Beyond coursework, he has undertaken advanced research projects in theoretical astrophysics, particularly focusing on compact stars and quantum chromodynamics (QCD). Shu-Peng’s educational journey has been enhanced by mentorship from leading physicists, including Professors Zhen-Yan Lu, Zhi-Jun Ma, and Jian-Feng Xu. This foundation has empowered him to explore the frontiers of dense matter equations of state and gravitational-wave astrophysics. His undergraduate training has laid a strong theoretical and computational groundwork, equipping him for impactful research contributions and future postgraduate studies in theoretical or computational astrophysics.

Research Focus

Shu-Peng Wang’s research centers on the theoretical and computational modeling of compact astrophysical objects, particularly quark stars. His primary interest lies in resolving thermodynamic inconsistencies in perturbative Quantum Chromodynamics (QCD) models by integrating multi-messenger astrophysical data. His work provides deeper insights into the structure and equation of state (EoS) of dense matter under extreme conditions. He has also contributed to particle physics through collaborative studies on axion properties, neutral pion decay, and topological effects in QCD at high temperatures and densities. Using tools such as SU(2) chiral perturbation theory, he investigates novel interactions that link the quantum vacuum to observable phenomena in astrophysics. His contributions demonstrate a commitment to bridging high-energy particle physics with gravitational and astrophysical observations. By combining rigorous theoretical formulations with observational constraints from events like GW170817 and GW190814, Shu-Peng’s work provides crucial advances for the understanding of neutron stars, quark matter, and exotic compact objects.

Publication Top Notes

  1. Constraints on the Equation of State of Quark Stars from Compact Object Observations

    • Type: Conference Paper

    • Date: 2025-07-29

    • Authors: Shu-Peng Wang; Zhi-Jun Ma; Jian-Feng Xu; Zhen-Yan Lu

    • Summary: First-authored by Shu-Peng Wang, this paper addresses a critical thermodynamic inconsistency in the perturbative QCD model. The study integrates gravitational-wave data (e.g., GW170817) to derive realistic constraints on quark star models, concluding that while two-solar-mass quark stars are viable, the massive object from GW190814 likely isn’t a simple quark star. The work bridges QCD theory with astrophysical observations.

  2. New Contribution to the Anomalous π0→γγ Decay in SU(2) Chiral Perturbation Theory

    • Type: Conference Paper

    • Date: 2025-07-28

    • Authors: Zhen-Yan Lu; Shu-Peng Wang; Qi Lu

    • Summary: This study provides theoretical refinements to the decay of neutral pions into two photons using SU(2) chiral perturbation theory. It includes new loop-level corrections and potential axion-induced contributions, which may impact future collider and dark matter research.

  3. New Axion Contribution to the Two-Photon Decays of Neutral Pions

    • Type: Journal Article (The European Physical Journal C)

    • Date: 2025-02-24

    • Summary: Co-authored by Shu-Peng Wang, this work investigates how hypothetical axions could affect pion decay channels, potentially altering predicted decay rates and offering insight into dark sector physics and CP violation.

  4. QCD Topology and Axion Properties in an Isotropic Hot and Dense Medium

    • Type: Journal Article (The European Physical Journal C)

    • Date: 2024-11-25

    • Summary: This paper explores QCD topological effects and axion behavior in high-temperature, high-density environments relevant to early universe and neutron star conditions, using theoretical simulations to assess mass and coupling constraints.

Conclusion

Given his impactful early contributions, strong theoretical foundations, and multi-disciplinary insight, Shu-Peng Wang is highly deserving of the Best Researcher Award. He exemplifies the qualities of a rising star in physics research.

Ankan Bhaskar | ZnO Nanoparticles | Best Researcher Award

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Assist. Prof. Dr. Ankan Bhaskar | ZnO Nanoparticles | Best Researcher Award

Assistant Professor, Palamuru University, India

Dr. Ankam Bhaskar is an accomplished physicist specializing in magnetic and thermoelectric materials. He earned his Ph.D. in Physics from Osmania University, Hyderabad, India, in 2004, focusing on microwave-sintered Mn2+ added MgCuZn ferrites. With over two decades of experience in international research institutions, including National Changhua University of Education, Taiwan, and Environment Canada, Dr. Bhaskar has made notable contributions to material science. He currently serves as Assistant Professor in the Department of Physics at Palamuru University, India. His research spans across ferrites, ZnO nanoparticles, and semiconductor thermoelectrics. A prolific author, he has published in prestigious journals like JournaConclusion:
Dr. Bhaskar is a highly qualified and deserving nominee for the Best Researcher Award, with proven research excellence and global contributions in advanced materials and nanotechnology.l of Alloys and Compounds, RSC Advances, and Physical Chemistry Chemical Physics. In addition to his research, he holds editorial roles in several international journals and has received prestigious postdoctoral and visiting fellowships from Taiwan and Canada.

Professional Profile

Education

Dr. Ankam Bhaskar holds a Ph.D. in Physics from Osmania University, Hyderabad, India, awarded in 2004 for his thesis titled “Development of low temperature microwave sintered Mn2+ added MgCuZn ferrites.” His postgraduate education includes an M.Sc. in Engineering Physics and Instrumentation (1996–1998) from the same university, which he completed with distinction. He began his academic journey with a B.Sc. in Mathematics, Physics, and Chemistry, also from Osmania University, graduating in 1995 with a 57.5% score. His educational background provided a solid foundation in both theoretical and applied physics, enabling his transition into advanced research areas such as magnetic materials and nanotechnology. His training and academic achievements have been pivotal in his contributions to cutting-edge research in ferrites and thermoelectric materials.

Experience

Dr. Bhaskar has over 20 years of academic and research experience across India, Taiwan, and Canada. He is currently working as Assistant Professor in the Department of Physics at Palamuru University since May 2017. He previously served as a Senior Researcher (2009–2016) and Visiting Scientist (2016–2017) at the National Changhua University of Education, Taiwan, where he focused on thermoelectric materials. He held the NSERC Visiting Scientist position at Environment Canada (2007–2009), contributing to environmental material research. His postdoctoral research was carried out at National Tsing Hua University (2004–2007) and National Sun Yat-sen University (2003–2004), both in Taiwan. These roles emphasized interdisciplinary material science, spanning physics and chemistry domains. His global experience and long-standing commitment to academic excellence underscore his strong professional foundation.

Awards and Honors

Dr. Ankam Bhaskar has received multiple prestigious fellowships and editorial appointments throughout his career. He was awarded the Postdoctoral Research Fellowship by the National Science Council, Taiwan (2004–2007), and the NSERC Visiting Scientist Fellowship in Canada (2007–2009). He also received the Ministry of Science and Technology (Taiwan) Postdoctoral Fellowship (2009–2015) and Visiting Scientist Grant (2016–2017). His editorial contributions include board memberships for journals such as Journal of Applied Science, Journal of Mathematics, Journal of Modern Polymer Chemistry and Materials, AASCIT-Journal of Materials Science and Application, and Journal of Advanced Research in Mathematics and Statistics. These accolades reflect his international recognition, leadership in scientific publishing, and sustained contributions to the global research community.

Research Focus

Dr. Bhaskar’s research primarily focuses on the synthesis and characterization of advanced materials including ferrites, ZnO nanoparticles, and thermoelectric semiconductors. He investigates structural, morphological, optical, magnetic, and antibacterial properties of nanomaterials for applications in optoelectronics and biomedicine. His work on thermoelectric materials targets enhanced energy conversion efficiency through band structure engineering and doping mechanisms. Utilizing both experimental and theoretical approaches, he explores novel compound systems like XYTe (X = Ti/Sc; Y = Fe/Co) and Bi-Sb alloys. His studies emphasize scalable synthesis techniques such as sol–gel auto-combustion and hydrothermal methods. Dr. Bhaskar’s interdisciplinary methods and international collaborations make his research highly impactful in both academic and applied contexts.

Publication Top Notes

  1. “Synthesis, Structural, Morphological, Optical, Magnetic Properties and Antibacterial Activities of Ni-doped ZnO nanoparticles for Optoelectronic and Biomedical Applications: Experimental and Theoretical insights”
    Journal of Alloys and Compounds, 2025-07. DOI: [10.1016/j.jallcom.2025.182493]
    Contributors: G. Vishnumurthy; Ankam Bhaskar; T. Ramesh
    Summary: This paper reports the successful doping of ZnO nanoparticles with Ni and evaluates their multifunctional behavior using structural, optical, magnetic, and antibacterial tests. The research highlights the materials’ potential in optoelectronics and biomedicine.
  2. “A Comprehensive Study on the Impact of Aluminum Doping on X-ray Diffraction Peak Profile Analysis, Structural, Morphological, and Optical Properties of ZnO Nanoparticles Synthesized by Sol–Gel Auto-Combustion”
    Journal of Electronic Materials, 2025-03. DOI: [10.1007/s11664-024-11636-2]
    Contributors: G. Vishnumurthy; Ankam Bhaskar
    Summary: This article investigates how aluminum doping modifies ZnO nanoparticle structure and properties, using XRD peak analysis and microscopy techniques to draw correlations with potential device applications.
  3. “Investigation of the electronic structure, mechanical, and thermoelectric properties of novel semiconductor compounds: XYTe (X = Ti/Sc; Y = Fe/Co)”
    Physical Chemistry Chemical Physics, 2023. DOI: [10.1039/D3CP01478A]
    Contributors: Aquil Ahmad; Chia-Jyi Liu; Ankam Bhaskar (Acknowledged contributor)
    Summary: This theoretical study explores novel telluride compounds for their thermoelectric properties, emphasizing potential high-performance energy materials.
  4. “Enhanced thermoelectric performance of band structure engineered GeSe1−xTex alloys”
    Sustainable Energy & Fuels, 2021. DOI: [10.1039/D0SE01788D]
    Contributors: D. Sidharth et al.; Chia-Jyi Liu; Ankam Bhaskar (Contributing researcher)
    Summary: The study demonstrates how Te alloying in GeSe improves thermoelectric efficiency through band structure modulation.
  5. “Enhanced thermoelectric properties of hydrothermally synthesized Bi0.88−xZnxSb0.12 nanoalloys below the semiconductor–semimetal transition temperature”
    RSC Advances, 2018. DOI: [10.1039/C8RA03858A]
    Contributors: Ahmad Gharleghi et al.; Chia-Jyi Liu; Ankam Bhaskar (Collaborative role)
    Summary: This paper presents Zn-doped Bi-Sb nanoalloys as promising thermoelectric materials with improved performance below transition temperatures.
  6. “Effects of Fe doping on the thermal hysteresis of the La0.5Ca0.5MnO3 system”
    RSC Advances, 2017. DOI: [10.1039/C6RA27974K]
    Contributors: Ankam Bhaskar; M.-S. Huang; Chia-Jyi Liu
    Summary: The study explores how Fe doping influences thermal hysteresis behavior in La-Ca-Mn-O compounds, impacting magnetic phase transitions.

Conclusion

Dr. Bhaskar is a highly qualified and deserving nominee for the Best Researcher Award, with proven research excellence and global contributions in advanced materials and nanotechnology.

Gaurav Mittal | Data Science and Analytics | Engineering Impact Award

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Mr. Gaurav Mittal | Data Science and Analytics | Engineering Impact Award

Manager IT, Independent Skilled Data Volunteer, United States

Gaurav Mittal is a visionary IT Manager and Data Science leader with over 18 years of impactful experience spanning biopharmaceuticals, healthcare, insurance, and fraud detection. His unmatched expertise in machine learning, cloud computing, automation, and security-driven innovation has made him a pioneer in transforming digital ecosystems. Currently serving as Manager IT – Data Science at Thermo Fisher Scientific, he has led mission-critical projects that seamlessly align regulatory compliance with scalable AI solutions. With deep technical proficiency, strategic leadership, and a passion for innovation, Gaurav continues to revolutionize IT operations and deliver real-world business value.

Professional Profile

Google Scholar

Education 

Gaurav earned his Bachelor of Technology in Electronics and Communication Engineering, laying the groundwork for a career in cutting-edge systems development. To strengthen his managerial and strategic capabilities, he completed an MBA in Information Technology (2017–2019). Gaurav is also Sun Certified in Java Programming, holds an AWS Cloud Practitioner certification, and has earned Lean Six Sigma Green and Yellow Belt certifications, showcasing his dedication to continuous improvement and cloud excellence.

Experience

With a robust track record of driving innovation, Gaurav currently works at Thermo Fisher Scientific (2022–Present) as Manager IT – Data Science, where he has spearheaded AI/ML-based tools like GeneAI agents: SecureCodeScan for vulnerability detection and SQLOptimizer for database performance enhancement. His innovations include an AWS-powered secure email transmission utility, saving $40K per quarter, and automation of QA processes that cut down 800 minutes of manual testing, demonstrating his strategic thinking in cost-effective digital transformation.

Research Focus

Gaurav’s core research interests lie at the intersection of AI-driven automation, cloud security, NLP, DevOps optimization, and shift-left testing strategies. His practical AI innovations—ranging from email categorization using NER models to automated defect identification in production—are built on secure and scalable architectures using AWS, Docker, and Kubernetes. A passionate advocate of white-box testing and security compliance, Gaurav combines technical ingenuity with a commitment to quality and regulatory integrity. His work continually emphasizes data integrity, cyber-resilience, and cross-functional collaboration.

Awards & Honors

Gaurav Mittal’s exceptional contributions have been formally recognized within Thermo Fisher Scientific through prestigious accolades. In the first quarter of 2023, he emerged as the Winner of the Golden Lever Award in the Teams Category for his pivotal role in the “Tosca Validation” project, which demonstrated outstanding alignment of quality assurance practices with regulatory standards. Additionally, he was honored as a Finalist in the Individual Category of the same award cycle for his innovative development of the “AWS IAM Keys Rotation Utility,” a solution that significantly enhanced cloud security and operational efficiency. These recognitions highlight his technical leadership, forward-thinking innovation, and consistent ability to drive impactful, high-value results across cross-functional teams.

Publications Top Notes

Title: Using AI-powered Email Classification to Accelerate Help Desk Responses
Author: Gaurav Mittal
Source: InfoWorld
Summary:
This article showcases how AI-based email classification can transform help desk operations by automatically categorizing incoming support emails. Gaurav presents a custom machine learning solution trained on historical ticket data that enables faster triage and routing. The approach improves resolution time, reduces workload for agents, and enhances customer satisfaction by accelerating initial responses.

Title: How Can We Balance AI’s Potential and Ethical Challenges?
Author: Gaurav Mittal
Source: Observatory Wiki
Summary:
Gaurav delves into the dual nature of AI—its transformative capabilities and the ethical dilemmas it presents. He discusses issues such as algorithmic bias, data privacy, and transparency. The article proposes a framework for responsible AI adoption, urging developers and organizations to adopt ethical guidelines that align with societal expectations and regulatory standards.

Title: Managing Diverse Data Types in a Dataset with COLUMNTRANSFER
Author: Gaurav Mittal
Source: CodeMag
Summary:
In this technical piece, Gaurav introduces the COLUMNTRANSFER technique, which is designed to handle datasets containing mixed data types (categorical, numerical, and text). He outlines a pipeline built using Python’s ColumnTransformer, enabling efficient preprocessing and improved machine learning model performance. The article is particularly valuable for data scientists working with real-world, heterogeneous datasets.

Title: Use These Two Approaches To Deploy ML Models on AWS Lambda
Author: Gaurav Mittal
Source: The New Stack
Summary:
This article presents two practical deployment strategies for running ML models on AWS Lambda: packaging models as Lambda layers and invoking them with scheduled warm-up events to avoid latency. Gaurav shares detailed architecture, code snippets, and cost-optimization tips, enabling scalable, serverless AI solutions with minimal operational overhead.

Title: Automating Email Processing with AI Powered Named Entity Recognition for Efficient Data Labeling
Author: Gaurav Mittal
Source: MSPAA.net
Summary:
This publication explores how Named Entity Recognition (NER) can automate the extraction of key information from emails to streamline data labeling and ticket classification. Gaurav outlines the development and integration of an AI model that identifies entities like names, locations, and technical terms to automate email sorting, reduce manual intervention, and boost workflow efficiency.

Conclusion

Gaurav Mittal exemplifies the ideal blend of technical mastery, strategic vision, and leadership excellence. From streamlining DevOps pipelines and deploying AI/ML utilities to improving regulatory compliance and fostering innovation, he has repeatedly delivered transformative solutions. His leadership in cloud-native development, AI deployment, and QA automation, combined with a relentless drive for excellence, makes him an exceptional nominee for recognition in the field of IT and Data Science. With his unwavering commitment to quality, efficiency, and innovation, Gaurav is poised to continue making substantial contributions to the future of intelligent, secure, and agile enterprise technology.

Sahar Abdollahi Baghban | Polymer and Coatings Resins | Best Researcher Award

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Assist. Prof. Dr. Sahar Abdollahi Baghban | Polymer and Coatings Resins | Best Researcher Award

Faculty Member, Institute for Color Science and Technology/Department of Environmental Research, Iran

Dr. Sahar Abdollahi Baghban is a distinguished expert in polymer engineering with specialized expertise in coatings and color science. She is currently serving as a faculty member in the Department of Environmental Research at the Institute for Color Science and Technology. With a deep background in both academia and industry, she previously held the position of Vice President at Polyresin Co., leading the R&D Department from 2018 to 2024. Dr. Baghban has also been a respected instructor at Amirkabir University of Technology, where she taught key courses on industrial resins. Her academic journey is deeply rooted at Amirkabir University, where she earned her BSc, MSc, and PhD in Polymer Engineering. Her work emphasizes sustainable and advanced polymeric coatings, self-stratifying and acoustic resins, and nanocoatings for environmental and industrial applications. Dr. Baghban is a multi-published researcher and an active contributor to innovations in eco-friendly coating technologies.

Professional Profile

Scopus Profile | Google Scholar | ORCID Profile

Education Background

Dr. Sahar Abdollahi Baghban has pursued her entire academic career at Amirkabir University of Technology, a leading institution in Iran. She completed her PhD in Polymer Engineering – Coating Industry (2016–2021), where her thesis focused on developing a light-curable, self-stratifying coating based on gelatin with controlled water vapor permeability. Her MSc (2014–2016) research investigated acoustic insulation polyurethane foams, specifically the effects of polyester polyol chemical structures. During her BSc in Polymer Engineering – Color Science and Technology (2010–2014), she studied the influence of water-based acrylic resin on the mechanical and physical properties of polymer concrete. Dr. Baghban’s education reflects a consistent focus on environmentally friendly coating systems, acoustic materials, and advanced polymer formulations. She excelled throughout, achieving high GPAs and contributing significantly to lab-based research projects that laid the groundwork for her future innovations in polymer and coating technologies.

Professional Experience

Dr. Baghban brings a balanced blend of academic instruction, research leadership, and industrial innovation. She currently serves as a faculty member at the Institute for Color Science and Technology (2024–present), focusing on environmental research. From 2018 to 2024, she led the R&D Department at Polyresin Co. as Vice President, spearheading the development of environmentally friendly powder resins and polyester-based solutions. As an instructor at Amirkabir University of Technology (2016–2023), she taught Industrial Resins and Surface Coatings, shaping future polymer engineers. She also served as a project researcher at Niroo Research Institute (2016–2018), focusing on superhydrophobic nanocoatings. Her industrial project work includes developing conductive binders, eliminating residual monomers, and optimizing can-coating polyester resins to reduce toxicity. These experiences have cemented her expertise in sustainable and performance-driven coatings.

Research Focus

Dr. Baghban’s research lies at the intersection of polymer chemistry, coatings, and environmental sustainability. Her work focuses on advanced resins for industrial coatings, particularly VOC-free, light-curable, and bio-renewable polymer systems. She has pioneered self-stratifying coatings using methacrylated gelatin and acrylated vegetable oils, targeting water vapor permeability control and wound dressing applications. Her research in polyurethane foams has contributed to acoustic damping materials, with studies on microphase separation and the role of chain extenders and polyol structures. She has also developed superhydrophobic nanocoatings for electrical insulators and photocatalytic composites for wastewater treatment using MOF/MXene Ti3C2 hybrids. Her work incorporates both experimental methods and computational modeling. Through numerous industrial collaborations, she has worked on reducing hazardous emissions and enhancing environmental friendliness in resin production. Her focus is both future-forward and practical, making significant strides toward green chemistry in coatings.

Publication Top Notes

  1. A highly efficient microwave-assisted synthesis of an LED-curable methacrylated gelatin for bio applications
    • Authors: S. Abdollahi Baghban, M. Ebrahimi, S. Bagheri-Khoulenjani, M. Khorasani
    • Journal: RSC Advances, Vol. 11(25), 14996–15009 (2021)
    • Citations: 50
    • Summary: Demonstrates a rapid and energy-efficient method to synthesize methacrylated gelatin suitable for bio-coating applications. The LED-curable formulation allows for fine-tuning of mechanical and surface properties.
  2. Acoustic damping flexible polyurethane foams: Effect of isocyanate index and water content on the soundproofing
    • Journal: Journal of Applied Polymer Science, Vol. 136(15), 47363 (2019)
    • Citations: 39
    • Summary: Investigates how formulation parameters influence acoustic absorption in flexible polyurethane foams. The study guides foam design for sound insulation.
  3. Soundproofing flexible polyurethane foams: The impact of polyester chemical structure on the microphase separation and acoustic damping
    • Journal: Journal of Applied Polymer Science, Vol. 135(46), 46744 (2018)
    • Citations: 30
    • Summary: Highlights how the polyester polyol structure influences phase behavior and enhances acoustic performance.
  4. Self-stratifying behavior of a novel light-curable coating with gradient hydrophobic properties
    • Journal: Progress in Organic Coatings, Vol. 159, 106435 (2021)
    • Citations: 16
    • Summary: Examines computational and experimental design of coatings that self-stratify during curing, allowing customized wettability profiles.
  5. Design of different self-stratifying patterns in a VOC-free light-curable coating containing bio-renewable materials
    • Journal: Progress in Organic Coatings, Vol. 161, 106519 (2021)
    • Citations: 11
    • Summary: Focuses on controlling layer formation and surface patterns using bio-based materials in eco-friendly coatings.

Conclusion

With her robust academic foundation, innovative industrial projects, and significant scholarly contributions, Dr. Baghban exemplifies the qualities of a top-tier researcher, making her highly deserving of the Best Researcher Award.

 

 

 

Yi Wu | Building Energy Simulation | Best Researcher Award

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Ms. Yi Wu | Building Energy Simulation | Best Researcher Award

PhD candidate, Tsinghua University, China

Yi Wu is a dedicated Ph.D. candidate in the Department of Building Science at the School of Architecture, Tsinghua University. With a dual background in engineering and economics, Yi bridges technical acumen and strategic insight in sustainable building practices. His academic focus lies in building thermal resilience, occupant behavior simulation, and big data analytics in HVAC systems. He has contributed as a primary and co-author to several high-impact journals, addressing real-world energy challenges using advanced simulations and data mining techniques. Yi is also recognized for developing national-scale building models and co-simulation algorithms for indoor air quality and energy. As a reviewer for prestigious journals like Building Simulation and Energy and Buildings, he is deeply involved in the academic community. His solid coding and analytical skills, coupled with a TOEFL score of 112, position him as a rising expert in the domain of energy-efficient building technologies and smart city applications.

Professional Profile

🎓 Education

Yi Wu began his academic journey at Tsinghua University, earning a Bachelor’s degree in Building Science (2017–2021), where he completed a thesis on extracting AC behavior patterns from large-scale VRF operation data and achieved a GPA of 3.70/4.0. Simultaneously, he pursued a second Bachelor’s degree in Economics and Management (2018–2021), with a thesis focused on the marketing success of blind box companies, scoring a GPA of 3.84/4.0. In 2021, he continued at Tsinghua as a Ph.D. candidate in Building Science, achieving a GPA of 3.88/4.0 to date. His doctoral research emphasizes building thermal resilience, big data mining in HVAC, and simulation of occupant behavior. Yi’s interdisciplinary educational background allows him to approach architectural challenges with both technical precision and managerial insight. This rare combination enhances his effectiveness in multidisciplinary research on energy efficiency, simulation, and behavioral modeling in smart buildings.

🏅 Awards and Honors

Yi Wu has received several prestigious accolades during his academic journey. He was awarded the National Scholarship, one of the highest academic honors in China, for his exceptional performance and contributions. Additionally, he was recognized as a Beijing Outstanding Graduate and an Excellent Graduate of Tsinghua University at the Bachelor level, signifying academic excellence, leadership, and societal contributions. These honors reflect not only his high GPA but also his active engagement in impactful research and academic service. Yi has also served as a reviewer for internationally reputed SCI journals such as Building Simulation, Energy and Buildings, and Advanced Engineering Informatics, showcasing his technical maturity and peer recognition in the research community. His honors validate his role as a young innovator in sustainable architecture and energy-efficient building systems, making him a deserving candidate for international recognition in the field of building energy simulation and data-driven HVAC optimization.

🔬 Research Focus 

Yi Wu’s research is rooted in building energy simulation, thermal resilience, and HVAC data analytics. He specializes in large-scale data mining from Variable Refrigerant Flow (VRF) systems, developing predictive occupant behavior models, and enhancing simulation accuracy through machine learning. His work aims to optimize energy performance in urban buildings by simulating real occupant actions and leveraging big data to inform policy and design. Yi also explores co-simulation of indoor air quality (IAQ) and energy performance through C++-based algorithm development. Another area of focus includes generating Typical Meteorological Year (TMY) data and establishing national-scale prototype building models for carbon emission assessments. His interdisciplinary approach blends simulation tools (DeST, EnergyPlus), programming (Python, TensorFlow), and empirical datasets (30+ TB VRF data) to support green building development at the city and national levels. Yi’s research ultimately contributes to the digitalization and decarbonization of the built environment.

📚 Publication Top Notes

  1. Weather Data Mining
    Wu, Y., An, J., Gui, C., Xiao, C., & Yan, D. (2023). A global typical meteorological year (TMY) database on ERA5 dataset. Building Simulation, 16, 1013–1026. [IF: 5.5]
    Summary: This study constructs a global TMY database based on ERA5 reanalysis data. It supports climate-adaptive building simulation across diverse locations by improving access to standardized weather input data.

  2. VRF System Performance
    Liu, H., Wu, Y., Yan, D., Hu, S., & Qian, M. (2022). Investigation of VRF system cooling operation and performance in residential buildings based on large-scale dataset. Journal of Building Engineering, 1052-1019.
    Summary: The authors evaluate operational patterns and efficiency of residential VRF systems using a vast dataset, revealing real-world behaviors that challenge existing design standards.

  3. Prototype Building Models
    An, J., Wu, Y., Gui, C., & Yan, D. (2023). Chinese prototype building models for simulating the energy performance of the nationwide building stock. Building Simulation, 16(8), 1559–1582. [IF: 5.5]
    Summary: This paper introduces Chinese prototype models to simulate the nation’s building stock energy consumption, providing a foundation for urban-scale energy policy development.

  4. Occupant AC Behavior Modeling
    Wu, Y., Zhou, X., Qian, M., Jin, Y., Sun, H., & Yan, D. (2023). Novel approach to typical air-conditioning behavior pattern extraction based on large-scale VRF system online monitoring data. Journal of Building Engineering, 106243. [IF: 6.4]
    Summary: Yi Wu presents a novel data-driven method to extract typical AC usage patterns, significantly enhancing occupant behavior modeling in HVAC simulation.

  5. OB Level-of-Detail Framework
    Wu, Y., An, J., Qian, M., & Yan, D. (2023). Application-driven level-of-detail modeling framework for occupant air-conditioning behavior in district cooling. Journal of Building Engineering, 70. [IF: 6.4]
    Summary: Proposes a flexible modeling framework adjusting detail levels of occupant behavior to improve simulation accuracy under district cooling scenarios.

  6. Renewable Energy Systems Integration
    Huang, P., Zhang, X., Copertaro, B., Saini, P. K., Yan, D., Wu, Y., & Chen, X. (2020). A Technical Review of Modeling Techniques for Urban Solar Mobility: Solar to Buildings, Vehicles, and Storage (S2BVS). Sustainability, 12(17), 7035. [IF: 4.0]
    Summary: Reviews integrated modeling strategies for urban solar systems spanning buildings, electric vehicles, and storage, promoting energy synergy and carbon reduction.

Conclusion

Yi Wu is a highly promising researcher at the intersection of building science, data mining, and sustainability. His interdisciplinary training, impactful publications, and technical versatility make him a strong and deserving candidate for the Best Researcher Award 🏅. With continued growth in leadership and outreach, he is poised to make lasting contributions to the field.