Dr. Manish Kumar serves as a full-time Distinguished Professor at Tecnológico de Monterrey. Previously, he directed the Sustainability Cluster within the School of Advanced Engineering at UPES in Dehradun, India, and held faculty positions at the Indian Institute of Technology (IIT) Gandhinagar in Gujarat and Tezpur University in Assam. He is a fellow of prominent organizations, such as the Royal Society of Chemistry in the UK, the Japan Society for the Promotion of Science (JSPS), the Biotech Research Society, India (BRSI), and the Indo-U.S. Science and Technology Forum (IUSSTF). His research is on elucidating, expanding, and developing multiple aspects of the fate, transport, and remediation of geogenic, microbial, and emerging contaminants in water.

He has authored more than 250 SCI/SCIE articles, which have collectively been cited over 13,000 times. With an h-index exceeding 60 and an i10 index surpassing 200, Manish Kumar has been recognized among the top 2% of researchers globally, as published by Elsevier based on the ranking algorithm from Stanford University.

His academic and research training encompasses institutions in the U.S., Europe, and Asia. He led the team that was the first to identify the SARS-CoV-2 gene in Indian wastewater. He served on the expert panel on antimicrobial resistance for the United Nations Environment Programme (UNEP), and led projects funded by organizations like UKIERI, UNICEF, and the Asia-Pacific Network for Global Change Research (APN). His research has been featured in the EU newsletters, WHO reports, and the U.S. EPA research calls. He provides editorial services to journals such as Elsevier and Springer.

Manish Kumar joined Tecnológico de Monterrey as a Distinguished Professor in Water Science for the School of Engineering and Sciences.

• Ph.D., Environmental Engineering, The University of Tokyo
• M.Phil. and M.Sc., Environmental Science, Jawaharlal Nehru University
• B. Sc., Chemistry, Lalit Narayan Mithila University

• Mootapally, Chandrashekar & Sharma, Parth & Dash, Siddhant & Kumar, Manish & Sharma, Shiksha & Kothari, Ramesh & Nathani, Neelam. (2025). Microbial drivers of biogeochemical cycles in deep sediments of the Kathiawar Peninsula Gulfs of India. Science of The Total Environment. 965. 178609. 10.1016/j.scitotenv.2025.178609. 
• Dogra, Kanika & Kumar, Manish & Bahukhandi, kanchan Deoli & Zang, Jian. (2024). Traversing the prevalence of microplastics in soil-agro ecosystems: Origin, occurrence, and pollutants synergies. Journal of Contaminant Hydrology. 266. 104398. 10.1016/j.jconhyd.2024.104398. 
• Torres-Martínez, Juan Antonio & Mahlknecht, Jürgen & Kumar, Manish & Loge, Frank & Kaown, Dugin. (2024). Advancing groundwater quality predictions: Machine learning challenges and solutions. Science of The Total Environment. 949. 174973. 10.1016/j.scitotenv.2024.174973. 
• Sudarsan, Jayaraman & Dogra, Kanika & Kumar, Rakesh & Raval, Nirav & Leifels, Mats & Mukherjee, Santanu & Trivedi, Mrugesh & Jain, Shirish & Zang, Jian & Barceló, Damià & Mahlknecht, Jürgen & Kumar, Manish. (2024). Tricks and tracks of prevalence, occurrences, treatment technologies, and challenges of mixtures of emerging contaminants in the environment: With special emphasis on microplastic. Journal of Contaminant Hydrology. 265. 104389. 10.1016/j.jconhyd.2024.104389. 
• Park, Kyu-hyun & Furumai, Hiroaki & Kumar, Manish. (2024). Suburban Runoff Modeling for Seasonal Water Management in Rice Paddy Fields: An Elaborated Application of Unmanned Aerial Vehicle Photogrammetry. ACS ES&T Water. 4. 10.1021/acsestwater.4c00124. 

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Dr. Rob Roggema was a landscape-driven design and sustainable urban environments professor at three universities in the Netherlands and the University of Technology Sydney in Australia. He is a visiting professor in Landscape Urbanism at Queen’s University Belfast in Northern Ireland and was a Distinguished Visiting Professor at Western Sydney University in Australia, and a Distinguished Global Professor at KEIO University in Japan.

He is the founder of Cittaideale, an office for adaptive design, spatial planning, and design research for regenerative urban environments and landscapes. Some of the design concepts he has developed are FoodRoofRio, a rooftop garden with an aquaponic system that provided food for families in the Cantagalo favela in Rio de Janeiro, Brazil; Moeder Zernike, a regional long-term regenerative plan for the northern part of the Netherlands; and Nature Rich Netherlands,
a national plan to convert Dutch land use to 50% nature while solving problems related to climate change impacts, nitrogen deposition, and housing.

For his Ph.D., he developed the Swarm Planning concept, a new method for planning and responding to climate adaptation and spatial design. Rob Roggema’s research interests are in creating innovative spatial solutions for regenerative urban landscapes. He has facilitated over 40 design charrettes in the Netherlands, Japan, Mongolia, China, Jordan, India, Australia, and New Zealand, engaging communities, academics, governments, and industries in complex design processes to address wicked problems.

Rob Roggema joined Tecnológico de Monterrey as a Distinguished Professor in Regenerative Cultures for the School of Architecture, Art and Design.

• Ph.D., Swarm Planning: The development of a methodology to deal with climate adaptation, Delft University of Technology and Wageningen University & Research
• M.Sc., Landscape Architecture, Wageningen University & Research
   

• Roggema, R.; Chamski, R. The New Urban Profession: Entering the Age of Uncertainty. Urban Sci. 2022, 6, 10. https://doi.org/10.3390/urbansci6010010

• Roggema, R. (2022). Design for Regenerative Cities and Landscapes: Rebalancing Human Impact and Natural Environment (Contemporary Urban Design Thinking) (English Edition). Springer.

• Roggema, Rob. (2021). TransFEWmation: Towards Design-led Food-Energy-Water Systems for Future Urbanization. 10.1007/978-3-030-61977-0. 

• Roggema, Rob. (2020). Nature Driven Urbanism. 10.1007/978-3-030-26717-9. 

• Roggema, Rob. (2020). Designing Sustainable Cities. 10.1007/978-3-030-54686-1. 

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Dr. Cipriano Santos, an expert in mathematical optimization, has a strong record in technical and organizational leadership. He is a Visiting Scholar at San José State University (SJSU) in California. Previously, he was a lead scientist for optimization and machine learning at Gurobi Optimization and senior technical advisor for Recruitology’s machine learning team. Before retiring from Hewlett-Packard (HP) Laboratories, he served as a Distinguished Technologist.

His research blends mathematical optimization and machine learning. Over 27 years at HP, he contributed to applied research projects, creating optimization models and decision-support tools for supply chain management, customer relationship management, and data 
center resource allocation. He also developed workforce planning tools for industries like airlines and healthcare, including dispatcher workload distribution and operating room scheduling.

Cipriano Santos co-founded HP Labs Advanced Prototyping Organization in Guadalajara, Mexico. This program linked top STEM students from leading Mexican universities with HP Labs researchers to build prototypes solving high-impact business challenges.

Cipriano Santos joined Tecnológico de Monterrey as Distinguished Professor in Operations Research and Artificial Intelligence for the School of Engineering and Sciences.

• Ph.D., Operations Research, University of Waterloo
• M.Sc., Operations Research, University of Waterloo
• B.Sc., Actuarial Sciences with a Major in Operations Research, Universidad Nacional Autónoma de México (UNAM)
   

• Over nineteen publications.
• Eighteen patents granted.